Abstract
Metabolic syndromes are frequently associated with dementia, suggesting that the dysregulation of energy metabolism can increase the risk of neurodegeneration and cognitive impairment. In addition, growing evidence suggests the link between infections and brain disorders, including Alzheimer’s disease. The immune system and energy metabolism are in an intricate relationship. Infection triggers immune responses, which are accompanied by imbalance in cellular and organismal energy metabolism, while metabolic disorders can lead to immune dysregulation and higher infection susceptibility. In the brain, the activities of brain-resident immune cells, including microglia, are associated with their metabolic signatures, which may be affected by central nervous system (CNS) infection. Conversely, metabolic dysregulation can compromise innate immunity in the brain, leading to enhanced CNS infection susceptibility. Thus, infection and metabolic imbalance can be intertwined to each other in the etiology of brain disorders, including dementia. Insulin and leptin play pivotal roles in the regulation of immunometabolism in the CNS and periphery, and dysfunction of these signaling pathways are associated with cognitive impairment. Meanwhile, infectious complications are often comorbid with diabetes and obesity, which are characterized by insulin resistance and leptin signaling deficiency. Examples include human immunodeficiency virus (HIV) infection and periodontal disease caused by an oral pathogen Porphyromonas gingivalis. This review explores potential interactions between infectious agents and insulin and leptin signaling pathways, and discuss possible mechanisms underlying the relationship between infection, metabolic dysregulation, and brain disorders, particularly focusing on the roles of insulin and leptin.
Introduction
Dementia is a general term for debilitating conditions, in which progressive and long-lasting loss of mental ability impairs cognition and simple daily activities. Alzheimer’s disease (AD), the most common form of dementia, is a neurodegenerative disorder characterized by cognitive decline associated with the accumulation of β-amyloid (Aβ) plaques and neurofibrillary tangles in the brain (Ferri et al., 2005). Amyloid cascade hypothesis is a model postulating a linear pathway initiated by Aβ deposition, eventually leading to neuroinflammation and neuronal loss. Although amyloid cascade hypothesis has provided the theoretical framework for the research direction and advanced the knowledge and understanding of AD pathology at molecular levels in the last decades, it remains controversial whether Aβ is the cause of the pathogenesis ().
While the exact role for Aβ in dementia etiology remains unclear, several elements have been suggested to increase the risk of cognitive decline. Among those suggested are impaired glycemic control [e.g., metabolic syndromes (MetS) including diabetes] and infection (Ott et al., 1999; Peila et al., 2002; ; ; Irie et al., 2008; ). Largely due to modern lifestyle and diet (i.e., the lack of exercise and food with high sugar and carbohydrate), overweight, obesity, and associated metabolic disorders are widespread epidemics. Obesity is a common risk factor for many chronic disorders, such as type 2 diabetes (T2DM) and cardiovascular diseases (Haslam and James, 2005). In addition, evidence suggests that metabolic disturbance can cause neurodegenerative disorders, including AD (Whitmer et al., 2005; Kivipelto et al., 2006; Mejido et al., 2020), possibly via blood–brain barrier (BBB) disruption and neuroinflammation (Pugazhenthi et al., 2017). The association may also be compounded and influenced by other factors, such as age (; ; Whitmer et al., 2018), indicating the complexity of mechanisms underlying the link between metabolic disturbances and cognitive decline. Meanwhile, the relationship between infections and dementia, especially late-onset AD, has been repeatedly suggested over the past three decades (). The aim of this review is to overview and discuss how these two contributory causes may be intertwined in the etiology of neurodegenerative disorders, particularly focusing on the interaction between infectious agents and two metabolic hormones, namely insulin and leptin, in the brain and periphery.
Metabolic Disturbance and Cognitive Impairment
Insulin and Leptin – Linking Metabolic Syndromes, Infection, and Cognitive Impairment
Energy homeostasis is regulated by intricate interactions between the peripheral organs and central regulatory system in the brain, where insulin and leptin play crucial roles () (Figure 1). Insulin and leptin resistance, as well as dysregulation of related pathways, are associated with obesity and metabolic disorders (Francisco et al., 2019; Gruzdeva et al., 2019) and central nervous system (CNS) dysfunctions (; ; Kellar and Craft, 2020). Growing evidence suggests that insulin and leptin play significant physiological roles in cognition (Paz-Filho et al., 2008; Morrison, 2009; Gray et al., 2014; ), and these signaling pathways may be promising therapeutic targets to alleviate cognitive impairment accompanied by obesity and MetS (Mejido et al., 2020). On the other hand, obesity, visceral adiposity in particular, is frequently associated with immune dysregulation and infection susceptibility (Hamdy et al., 2006; ; Kumari et al., 2019; Obradovic et al., 2021), while infection increases the risk of neurodegeneration and dementia (Heneka et al., 2020; Shinjyo et al., 2021), suggesting the link between MetS, infection, and cognitive impairment.
FIGURE 1
Insulin
Insulin and Dementia
Insulin is a peptide hormone composed of 51 amino acids, generated from the precursor proinsulin through a series of processing (Rahman et al., 2021). Primarily produced by β cells of the pancreatic islets, insulin is the main anabolic hormone that regulates the energy metabolism throughout the body, i.e., promoting glucose uptake into the liver, fat, and muscle cells (White, 2003). In addition, acting through common receptors (insulin receptor [InsR] and IGF-1 receptor [IGF-1R]), insulin and insulin-like growth factors (IGFs) regulate proliferation and survival of various cell types throughout the body during development, in adulthood, and in aging processes (Nakae et al., 2001; Richardson et al., 2004). InsR and IGF-1R are tyrosine kinase receptors that can be present as homodimers (InsR/InsR, IGF-1R/IGF-1R) or heterodimer (InsR/IGF-1R), sharing the majority of downstream pathways, namely phosphoinositide 3-kinase (PI3K), serine threonine kinase Akt, glycogen synthase kinase 3β (GSK3β), and mammalian target of rapamycin (mTOR) (O’Neill et al., 2012). InsR and IGF-1R are highly expressed in the CNS, including the hippocampus and hypothalamus, and central insulin regulates peripheral energy metabolism (O’Neill et al., 2012; Tiedemann et al., 2017; ; Scherer et al., 2021). Furthermore, it is now evident that insulin and IGF-1 play important roles in higher-order brain functions, such as memory and cognitive processing, and in neuroprotection in response to brain injury (Stewart and Rotwein, 1996; Gerozissis, 2003; Fernandez and Torres-Aleman, 2012), indicating pleiotropic roles for insulin/IGF signaling in the CNS.
Insulin crosses the BBB using a saturable transporter, which is regulated by insulin itself and altered by a number of factors including hyperglycemia and diabetes (). In addition, the choroid plexus, a highly vascularized tissue responsible for the production of cerebrospinal fluid (CSF) at the interface of the CNS and periphery, releases insulin and IGFs (Salehi et al., 2009; Ziegler et al., 2012; Mazucanti et al., 2019; ). In the parenchyma, microglia generate IGF-1 during development (Wlodarczyk et al., 2017) as well as in adulthood (Myhre et al., 2019), while astrocytes can produce insulin, which is negatively regulated by Aβ and bacterial lipopolysaccharide (LPS) (Takano et al., 2018). InsR and IGF-1R are expressed on neurons and non-neuronal cells (Shaughness et al., 2020), and are involved in the regulation of synaptic plasticity (Dyer et al., 2016), astroglial energy metabolism, microglial inflammatory phenotypes (Haas et al., 2020), as well as the self-renewal and maintenance of neural stem cells (Ziegler et al., 2015), indicating crucial roles of insulin through multiple targets and mechanisms in the brain parenchyma (Gabbouj et al., 2019). Although the hypothalamus is the most well-studied target region regulating systemic energy metabolism (Mitchell and Begg, 2021), specific inactivation of InsR and IGF-1R in the hippocampus and amygdala led to increased anxiety and cognitive impairment in animal models (Soto et al., 2019), indicating the significance of extrahypothalamic and non-metabolic roles for insulin. Moreover, hippocampal microglia responded to insulin treatment in young rats but not in the aged group (Haas et al., 2020), suggesting that microglia develop insulin resistance during aging. Indeed, experimental evidence suggests the link between impaired insulin signaling in the CNS and cognitive impairment. Intracerebral streptozotocin (STZ) induces AD-like brain pathology in mice, which has been widely used as a model for sporadic AD (Lester-Coll et al., 2006). In mixed AD and diabetic mice using APPswe/PS1dE9 (APP/PS1) transgenic AD model or triple-transgenic model of AD (3xTg-AD) with either STZ treatment or InsR deficiency (db/db), genetic background and dysfunctional insulin signaling cooperatively exacerbated CNS inflammation and AD pathology (Hierro-Bujalance et al., 2020; Imamura et al., 2020; Sankar et al., 2020). In addition, intranasal insulin treatment can alleviate AD pathogenesis and cognitive impairment via reduced neuroinflammation and enhanced neural plasticity (; Guo et al., 2017), possibly via the actions through receptors on microglia and astrocytes (Spielman et al., 2015). Although what roles insulin/IGF signaling play in the CNS could be context-dependent, i.e., either beneficial (; Sukhanov et al., 2007; Tien et al., 2017) or damaging (Labandeira-Garcia et al., 2017), fine-tuning of these signaling pathways is crucial to maintaining brain functions. Considering the anti-inflammatory effects of insulin and IGF-1 on microglia (Labandeira-Garcia et al., 2017; Shaughness et al., 2020) and observations that age-related changes of microglia toward pro-inflammatory phenotypes are implicated in brain aging and neurodegenerative disorders (Gemma et al., 2010; ), microglial insulin/IGF resistance may underlie chronic inflammation in the brain, which is associated with dementia (Lutshumba et al., 2021). Consequently, dysregulated insulin/IGF signaling and insulin resistance in the CNS have been linked to an increased risk of dementia, including AD, which is sometimes referred to as type 3 diabetes (; Whitmer et al., 2008; Zemva and Schubert, 2011; ; Smolina et al., 2015; ; Kuo et al., 2018; Shinjyo et al., 2020).
Insulin as an Immunomodulator – A Possible Link Between Metabolic Syndromes and Infection Susceptibility
Acute and chronic infections induce insulin resistance (Yki-Järvinen et al., 1989; Fernández-Real et al., 2006), whereas metabolic imbalance (e.g., higher body fat mass and diabetes) is associated with higher infection susceptibility (Rayfield et al., 1982; Fernández-Real et al., 2007), indicating bidirectional interactions between the immune system and energy metabolism in human body. Chronic low-grade inflammation and immune dysregulation likely mediate the mutual and possibly synergetic relationship. The strong interaction between the immune and metabolic pathways is apparently rooted in their common evolutionary origin, as represented by the fat body in Drosophila, which senses both infectious and metabolic stresses and perform the functions of the liver, adipose tissue, and immune system (Hotamisligil, 2017). Insulin plays a key role in such evolutionarily conserved immunometabolism, partly through the interactions with tumor necrosis factor (TNF) receptor (Uysal et al., 1997) and Toll-like receptor (TLR) pathways (; Hotamisligil, 2017), as well as through modulating metabolic pathways in immune cells (van Niekerk et al., 2020). Through metabolic regulation, insulin alleviates the harmful effects of hyperglycemia (Sun et al., 2014). For example, due to its glucose-lowering effect, insulin exert anti-inflammatory effects through modulating the release of inflammatory mediators. As glucose is pro-inflammatory, insulin deficiency activates inflammatory reactions in the body, leading to the release of inflammatory mediators including reactive oxygen species and pro-inflammatory cytokines from leukocytes (Mohanty et al., 2000; Esposito et al., 2002). In addition, insulin directly activates phagocytic and bactericidal activity of immune cells and diabetes-induced infection susceptibility is partly mediated by impaired immune responses due to the lack of insulin signaling, as shown in rodent studies (Yano et al., 2012).
Leptin
Leptin as a Metabolic Hormone
Leptin is a 16 kDa polypeptide that regulates metabolic balance and fat storage. Mainly produced by the white adipose tissue (WAT), leptin acts via leptin receptor (LepR) in the brain and plays a pivotal role in the control of appetite and energy expenditure. There are six LepRs (LepRa to LepRf), with identical extracellular N-terminal domain and distinct intracellular C-terminal regions generated by alternative splicing of db (Lee et al., 1996). LepRb, the long isoform with high ligand affinity, is the major isoform expressed in the brain and activates intracellular pathways, including JAK/STAT, ERK/MAPK, and IRS/PI3K (). The hypothalamic nuclei, the regulatory center of energy homeostasis, are highly enriched with LepRb (Elmquist et al., 1998; ; Leshan et al., 2009), and leptin exerts its effects through the action in the hypothalamus to regulate food intake and energy metabolism (Friedman, 2019). Leptin enters the hypothalamus through fenestrated capillary and acts on LepR expressed on neurons in arcuate nucleus (ARC), dorsomedial hypothalamus (DMH), and ventromedial hypothalamus (VMH), enabling a feedback mechanism to maintain energy balance, thereby preventing obesity and metabolic disorders (Pandit et al., 2017). In addition, leptin can cross BBB using a saturable transport system (), as well as the blood-CSF barrier (choroid plexus epithelia) (Merino et al., 2006; Dietrich et al., 2008). LepRb in extrahypothalamic brain regions also plays significant roles in the regulation of energy metabolism (Scott et al., 2009). For example, LepRb in the ventral tegmental area (VTA) regulates energy balance via mesolimbic dopaminergic system (Fulton et al., 2006; Hommel et al., 2006), suggesting that leptin targets multiple brain regions and cellular components. Consequently, dysregulation of leptin signaling results in obesity, diabetes, and associated comorbidities (Myers et al., 2008; Wasim et al., 2016; Fischer et al., 2020). Leptin resistance is the condition where diminished leptin sensitivity occurs, resulting in a defect in satiety detection despite high leptin levels, which has been linked to obesity (Izquierdo et al., 2019). Leptin deficient (ob/ob) and LepR deficient (db/db) mice, carrying mutations in leptin (ob) and LepR (db) genes, respectively, exhibit excessive eating, develop obesity and diabetes, and are widely used as animal models of T2DM (; Ninomiya et al., 2002; Gautron and Elmquist, 2011). Growing evidence suggests the contribution of leptin resistance to neurodegeneration in AD (). Serum leptin levels showed negative correlation with cognitive decline in the elderly (Holden et al., 2009). In the brain autopsy, CSF leptin levels were significantly higher in AD compared to control and mild cognitive impairment cases, and CSF leptin concentration was correlated with pathological neurofibrillary tangle burden (), suggesting that leptin resistance develops during AD progression.
Leptin as an Adipokine
Adipokines are the adipose tissue-derived factors that affect whole body homeostasis in autocrine and paracrine manners, targeting a number of biological processes such as glucose metabolism, lipid metabolism, insulin sensitivity, as well as immune response (Fasshauer and Blüher, 2015). Adipokines include leptin, adiponectin, vaspin, fibroblast growth factor 21 (FGF21), and many more, each exerting specific biological effects, and mediate diverse actions throughout the body (Fasshauer and Blüher, 2015). Originally identified as an adipocyte-derived hormone that regulates neuroendocrine axis, leptin is one of the most studied adipokines linking the immune system and energy metabolism (; Jiménez-Cortegana et al., 2021).
Indeed, leptin belongs to the family of long-chain helical cytokines and has similarity to IL-6, IL-12, and granulocyte colony-stimulating factor (G-CSF). LepR is a type I cytokine receptor (La Cava and Matarese, 2004). Although neurons are the most well-established cellular targets of leptin, LepR is also expressed by non-neuronal cells throughout the body. Importantly, most immune cells, including hematopoietic bone-marrow precursors, monocytes/macrophages, and lymphocytes, express LepR, suggesting that leptin directly modulate immune responses and inflammation (La Cava and Matarese, 2004; Procaccini et al., 2012, 2017). Adipose tissue and lymphoid organs are often anatomically associated, and the contiguity between adipocytes and lymphoid cells supports the functional interactions (Matarese et al., 2002). For example, leptin affects thymic function and growth/survival of bone-marrow CD34+ precursors and CD4+ T cells (Lord et al., 1998; Howard et al., 1999; Martín-Romero and Sánchez-Margalet, 2001; Papathanassoglou et al., 2006; ), and modulates both innate and adaptive immunity through diverse mechanisms (Maurya et al., 2018), such as enhancement of neutrophil oxidative burst (Mancuso et al., 2002; ), phagocytosis by monocytes/macrophages (Faggioni et al., 1999; Fantuzzi and Faggioni, 2000; Sánchez-Margalet et al., 2003), and cytotoxic activity of natural killer (NK) cells (Tian et al., 2002), as well as mobilization of macrophages, lymphocytes (), and neutrophils (Souza-Almeida et al., 2018).
Leptin deficiency and resistance are associated with increased susceptibility to infectious diseases, including bacterial (e.g., Mycobacterium tuberculosis and Streptococcus pneumonia), viral [e.g., coronaviruses, influenza A virus, and human immunodeficiency virus (HIV)], and parasitic (e.g., Trypanosoma brucei, Trypanosoma cruzi, and Entamoeba histolytica) infections (; Sánchez-Pozo et al., 2003; Wieland et al., 2005; Hsu et al., 2007; Nagajyothi et al., 2010; Tschöp et al., 2010; Vedantama and Viswanathan, 2012; Zhang et al., 2013; Radigan et al., 2014; ; Guglielmi et al., 2021), while infection with certain pathogens, such as Plasmodium spp. and Toxoplasma gondii, can cause dysregulated leptin secretion, independently of adiposity (Pulido-Mendez et al., 2002; ). The significant association between obesity-induced inflammation (meta-inflammation) and the severity of infectious disease has been highlighted by COVID-19 pandemic (Huizinga et al., 2020; Rebello et al., 2020). It is notable that Streptococcus pneumoniae is a major cause of meningitis, which potentially leads to persistent cognitive disability (Yau et al., 2018), and M. tuberculosis can disseminate into the brain and induce CNS tuberculosis, a cascade of inflammatory responses that can potentially cause brain damage (Leonard, 2017; ). HIV-positive individuals frequently suffer neurocognitive disorders (HIV-associated neurocognitive disorders, HAND), and influenza A virus (H1N1) have been associated with neurological manifestation in both young and adult patients (; Wilking et al., 2014), with some developing permanent sequelae (), suggesting that defective leptin signaling could affect brain functions through increased infection susceptibility. While the mechanistic link between leptin resistance and infection susceptibility is complex and multifactorial (Maurya et al., 2018; Rebello et al., 2020), leptin’s actions through immune cells in the periphery and CNS, and dysregulation thereof, likely play a significant role.
The Roles for Leptin and Insulin in Cellular Immunometabolism
Cellular energy metabolism is mainly driven by glycolysis, tricarboxylic acid (TCA) cycle, fatty acid oxidation, and oxidative phosphorylation (OXPHOS). Glutaminolysis, the conversion of glutamine to glutamate, is activated to fuel TCA cycle when glucose availability is limited. Glutaminolysis also plays a crucial role in the brain, where glutamate functions as a major neurotransmitter (Wang et al., 2017). In addition, in the absence of glucose, such as insulin-induced hypoglycemia, microglia utilize glutamine as an alternative fuel to support their immunological functions (). Upon stimulation by pathogen-derived molecules and endogenous ligands, immune cells undergo metabolic reprogramming into alternative modes of energy metabolism (O’Neill et al., 2016; Gaber et al., 2017; Hotamisligil, 2017; Próchnicki and Latz, 2017), which can be largely classified into the pro-inflammatory phenotypes dominated by glycolysis (similar to the Warburg effect in cancer cells), and anti-inflammatory phenotypes characterized by TCA cycle, fatty acid oxidation, and OXPHOS (O’Neill et al., 2016). Such bioenergetic shifts determine the properties of various immune cell populations, including macrophages (Van den Bossche et al., 2017), neutrophils (), and T cells (O’Neill et al., 2016; Spadaro et al., 2017; ), where insulin/IGFs and leptin come into play. For example, insulin regulates T cell’s metabolic reprogramming, thereby shaping adaptive immunity (Tsai et al., 2018). InsR-deficient T cells showed compromised responses to antigens in vitro, and T cell-specific InsR knockout in mice led to reduced antigen-specific immunity to influenza virus infection in vivo (Tsai et al., 2018), suggesting that InsR signaling reinforces metabolic reprogramming required for T cell activation. Such immunometabolic changes of T cells are likely mediated by mTOR, a key regulator of cellular homeostasis including protein synthesis and autophagy (Rao et al., 2010; ; Martin et al., 2021). mTOR also mediates insulin-induced alteration of metabolic rates and immune responses in myeloid cells (Ratter et al., 2021), and mTOR mediates age-associated microglial priming and neurodegeneration (Keane et al., 2021), suggesting that insulin-induced activation of mTOR pathway plays a role in immunometabolic imbalance in the CNS. IGF-1R signaling is essential for the anti-inflammatory polarization of macrophages upon metabolic stress as well as helminth infection (Labandeira-Garcia et al., 2017; Spadaro et al., 2017), and IGF-2 instructs macrophage precursor cells to become anti-inflammatory through metabolic pre-programming toward OXPHOS (Du et al., 2019). Leptin also induces immunometabolic changes in immune cells, including macrophages and T cells (; ; Monteiro et al., 2019). Activation of leptin signaling pathways (JAK/STAT and IRS/PI3K) leads to intracellular metabolic changes, such as increased glucose uptake and glycolytic activity and reduced OXPHOS, associated with pro-inflammatory phenotype of macrophages and T cells (; ; Monteiro et al., 2019). It is conceivable that immunometabolic imbalance due to dysregulated insulin/IGF and leptin signaling pathways underlie immunodeficiency and infection susceptibility in nutritional imbalance, including malnutrition and obesity.
Brain-Resident Immune Cells and Immunometabolism
Microglia and Astrocytes
The brain is the most energy-demanding organ, consuming glucose at a disproportionately high rate compared to the rest of the body. Glucose metabolism in the brain is founded on intricate interactions between the cellular components, i.e., neurons and glia. Neurons are highly aerobic and heavily dependent on OXPHOS, while astrocytes and oligodendrocytes, the major neuroglial populations, are predominantly glycolytic. These cell-type specific metabolic profiles support the overall power system in the CNS: lactate generation via glycolysis in neuroglia fueling OXPHOS in neurons (Fünfschilling et al., 2012; Jha and Morrison, 2018; Rosko et al., 2019) (Figure 2). To protect such elaborate systems, the brain harbors resident innate immune cells, namely resident macrophage populations: microglia, perivascular macrophages, meningeal macrophages, and choroid plexus macrophages. The former three, including microglia, have embryonic origins and are maintained through local self-renewal while choroid plexus macrophages are replenished via constant supply of bone marrow-derived monocytes (Prinz et al., 2017). These brain-resident macrophage populations play significant roles in the brain physiology, as well as in defense against infection (Ransohoff and Brown, 2012; Heneka et al., 2015; Herz et al., 2017; Kierdorf and Prinz, 2017).
FIGURE 2
While aberrant activation of resident macrophages contributes to CNS pathology via inflammation (; Herz et al., 2017), evidence is growing that brain-resident macrophages play homeostatic roles in the brain. Residing in the brain parenchyma, microglia play pivotal roles in the development and maintenance of neuronal networks. The most notable roles of microglia include complement-dependent synaptic pruning during CNS development (Schafer et al., 2012) and synaptic reorganization throughout life (Herz et al., 2017). In addition, microglia-derived neurotropic factors, such as brain-derived neurotrophic factor (BDNF), promote learning-dependent synaptic formation (Parkhurst et al., 2013) and protect neurons from brain injuries (Madinier et al., 2009). Furthermore, CNS macrophages are the major component of glymphatic system, which plays a crucial role in the clearance of waste products and toxic materials, including Aβ (Gordleeva et al., 2020). In the context of AD pathogenesis, microglial activation is a double-edged sword; it can facilitate the clearance of Aβ and tau, while potentially inducing neuroinflammation leading to neuronal damages associated with AD (Lue et al., 2010; Leyns and Holtzman, 2017; Shippy and Ulland, 2020).
Meanwhile, growing evidence suggests that astrocytes are part of the innate immunity in the brain (Sofroniew, 2020). Responding to the changing microenvironment and diverse stimuli (e.g., microbial infections, exposure to environmental toxins, tumor formation, and neurodegenerative diseases), astrocytes undergo morphological and functional changes and influence the outcome of a number of brain disorders (Drögemüller et al., 2008; Soung and Klein, 2018; Katsouri et al., 2020; Sofroniew, 2020). In addition, crosstalk between astrocytes and microglia in the hippocampus is responsible for sensitivity to insults (Lana et al., 2020), pointing to the importance of communication between astroglia and brain-resident macrophages in cognitive dysfunctions (Liddelow et al., 2017; Linnerbauer et al., 2020). Furthermore, astrocytes and microglia participate in Aβ clearance and protection of synaptic connectivity in AD models, suggesting highly context-dependent immunological roles of these glial cell populations against AD development ().
Glial Cells and Central Nervous System Immunometabolism
Microglia and astrocytes, also called macroglia, are major resident non-neuronal cells in the brain. As described above, evidence suggests that the interplay between neurons and these glial population plays pivotal roles in the brain, including the hippocampus, in physiological and pathological conditions (Lana et al., 2021). While neuronal cells express InsR/IGF-1R at high levels and many studies have focused on the roles of neuronal InsR/IGF-1R (Frölich et al., 1998), microglia and astrocytes also express InsR and IGF-1R (Shaughness et al., 2020). Insulin and IGFs support brain functions through regulating astroglial glucose metabolism (Sonnewald et al., 1996; Fernandez et al., 2018). InsR signaling modulates astroglial glucose uptake and bioenergetics (Heni et al., 2011), and specific ablation of astroglial InsR led to altered mood and cognition in mice (González-García et al., 2021). In addition, insulin can modulate inflammatory responses of astrocytes (Spielman et al., 2015), suggesting the immunometabolic regulation of astrocytes by insulin. IGF-1R can also modulate astroglial metabolic and immunological signatures (Hernandez-Garzón et al., 2016), and astroglial IGF-1R signaling mediates synaptic plasticity of cortical inhibitory neurons (Noriega-Prieto et al., 2021). These data suggest that impairment in InsR/IGF-1R signaling pathways may disrupt the metabolic network between glia and neurons, as well as immunological roles of astrocytes, eventually leading CNS dysfunctions. Microglial InsR/IGF-1R also mediate the effects of insulin. Low-dose insulin exerted pro-inflammatory effects on microglial cells in vitro (Spielman et al., 2015), while it was anti-inflammatory at a higher concentration (), suggesting the variable roles of microglial InsR/IGF-1R signaling. In addition, microglia are the major source of IGF-1 in the brain, and microglial IGF-1 was found to be increased in AD model mice compared to wild-type (Myhre et al., 2019). These data suggest that insulin and IGFs play crucial roles in immunometabolism via the phenotypic regulation of glial cells, potentially mediating the link between bioenergetics and immunity in the brain.
Microglia (Tang et al., 2007; ; Fujita and Yamashita, 2019), and astrocytes (Naranjo et al., 2020; Pratap and Holsinger, 2020) express LepR. Leptin can enhance microglial pro-inflammatory responses, including IL-6 production through a mechanism involving insulin receptor substrate-1 (IRS-1), PI3K, and Akt (Tang et al., 2007; ; Fujita and Yamashita, 2019), IL-1β release via a caspase 1-independent mechanism (Pinteaux et al., 2007), and lipopolysaccharide (LPS)-induced pro-inflammatory responses (Lafrance et al., 2010). On the other hand, in a spinal cord injury model, leptin reduced microglial inflammatory responses, while inducing neuroprotective phenotypes, Fernández-Martos et al. (2012). In myeloid cell-specific LepR deficient mice, hypothalamic microglia exhibited less ramified morphology and impaired phagocytic capacity (Gao et al., 2018), suggesting that leptin directly regulates homeostatic microglial phenotypes (). Considering multifaceted physiological roles of microglia and potential harm (i.e., neuroinflammation) caused by their aberrant activation (; Li and Barres, 2018), it is conceivable that impaired leptin signaling in microglia could lead to significant homeostatic imbalance in the CNS. On the other hand, specific LepR depletion in astrocytes (GFAP-LepR–/–) resulted in impaired neurotransmission in the hippocampus, suggesting that leptin regulates hippocampal plasticity via astroglial LepR, possibly by regulating the glucose and glutamate up-take capacity (Naranjo et al., 2020).
Other Central Nervous System-Resident Immune Cells
In addition to resident macrophages, the CNS harbors multiple leukocyte populations, including dendritic cells (DCs) and T lymphocytes. As a professional antigen-presenting cells, DCs play an essential role in the regulation of adaptive immunity. Although initially believed to be absent in the healthy brain parenchyma, only appearing in response to aging, injury, and infections (Fischer and Reichmann, 2001), studies have shown the presence of DCs within the healthy steady-state brain (; Prodinger et al., 2011). Upon activation, brain DCs can migrate out of the brain and induce T-cell homing into the CNS where antigen-specific immune responses may take place (Karman et al., 2004). Correlation between aging and the accumulation of DCs in the CNS (Kaunzner et al., 2012) suggests potential involvement of brain DCs in immunological changes and inflammation associated with aging. In response to immunological stimuli, such as viral and parasitic infections, T cells infiltrate into the brain, where these cells play beneficial roles by eliminating pathogens. In addition, studies have shown that long-lived memory T cells are established after CNS infections (Wakim et al., 2012; Landrith et al., 2017; Mockus et al., 2018), and these tissue-resident memory CD8 cells can provide frontline defense against re-infection (Netherby-Winslow et al., 2021). However, persistence of these cells can also cause neuronal damages (; Ghazanfari et al., 2021).
Although it is unknown how these CNS resident immune cells respond to and regulated by leptin and insulin, InsR is expressed on the surface of activated T cells (Helderman et al., 1978). Acting through InsR, insulin enhances and maintains T cell functions after immunological challenges (Helderman, 1984) and potentially induces anti-inflammatory polarization in the periphery (Viardot et al., 2007). These data suggest that insulin may play an immunomodulatory role via actions on T cell populations in the brain.
Glia as the Target and Reservoir of Infectious Agents
Growing evidence supports the infectious etiology of dementia, and a number of causative agents have been proposed, including viruses (e.g., Herpes simplex virus type 1 (HSV-1), cytomegalovirus (CMV)] and bacteria (e.g., Chlamydophila pneumoniae, spirochetes, Helicobacter pylori, Porphyromonas gingivalis) (Harris and Harris, 2015; Sochocka et al., 2017; Nazareth et al., 2021). Suggested mechanisms include persistent inflammation caused by chronic infection, leading to a vicious cycle of neuroinflammation and neurodegeneration, as well as BBB disruption, which may further enhance the entry of infectious agents and proinflammatory mediators from the periphery (Sochocka et al., 2017) (Figure 3).
FIGURE 3
Some infectious agents can enter and persistently inhabit the brain, directly causing chronic activation of resident immune cells (Sochocka et al., 2017). For example, Chlamydia pneumoniae, obligate intracellular bacteria, are frequently found in microglia and astrocytes in the brain of AD patients (; Nazareth et al., 2021). Microglia and astrocytes are also the target of some viruses, such as CMV () and HIV (; Valdebenito et al., 2021). In addition, T. gondii, a neurotropic protozoan parasite causing a lifelong CNS infection, has been implicated in various neurological disorders, including dementia (Nayeri Chegeni et al., 2019). T. gondii is an obligate intracellular parasite, potentially infecting all nucleated cell types. Chronic Toxoplasma infection is linked to microglial activation and persistent neuroinflammation (Li et al., 2019), and CNS energy metabolism is significantly skewed toward glycolysis upon infection (Hargrave et al., 2019), suggesting that T. gondii interferes with host immunometabolism in the brain. Indeed, it has been shown that Toxoplasma infection may lead to reduced IGF-1 signaling in the brain (El Saftawy et al., 2020). On the other hand, In vitro, high glucose and up-regulation of glycolysis in the host cell had a significant impact on the life-stage conversion of T. gondii (i.e., from fast-growing tachyzoite stage into dormant bradyzoite stage) (Weilhammer et al., 2012), indicating that host cell metabolism could modulate the virulence of intracellular pathogens. Intriguingly, T. gondii infection can enhance Aβ clearance by increasing phagocytic activity of recruited monocytes (Möhle et al., 2016), suggesting that the ultimate outcome may depend on the extent and the aggressiveness of the infection. Of note, SARS-CoV-2 is frequently found in astroglia and microglia, rather than neurons, in the autopsy brain, indicating potential involvement of glial activation in the neurological manifestation of COVID-19 (Solomon, 2021). These data suggest that infectious agents could produce immunometabolic imbalance in the CNS via affecting microglial and astroglial phenotypes (Figure 2), which may lead to chronic inflammation and an increased risk of neurodegenerative disorders (Stephenson et al., 2018).
Insulin and Leptin Mediating the Link Between Infection and Neurodegenerative Disorders
Infectious Etiology of Dementia
Recently, it has been shown that Aβ, a hallmark of AD, is an antimicrobial peptide, part of innate immunity to protect the host from various infectious agents (Soscia et al., 2010; Kumar et al., 2016; Gosztyla et al., 2018), suggesting the necessity to revisit the role of amyloid plaque formation in AD pathogenesis. Above mentioned neurotropic viruses, such as HSV-1, HSV-2 and CMV, certain bacterial species, including spirochetes and P. gingivalis, fungi (e.g., Candida albicans), and neurotropic parasite (e.g., T. gondii), may cause disruption of brain functions via chronic inflammation and immune dysregulation in the brain (Sochocka et al., 2017; Shinjyo et al., 2021). The antimicrobial hypothesis for AD proposes that Aβ generation and amyloid plaque formation are not the major culprit in AD pathogenesis, but rather a defense against such infectious agents (Moir et al., 2018; Iqbal et al., 2020; Fulop et al., 2021).
While metabolic disorders and infection may independently increase the risk of dementia, obesity and metabolic disorders may indirectly increase the risk of infection-induced neurological disorders, by enhanced susceptibility to infection and infection-induced complications via immune dysregulation (Shah and Hux, 2003; Muller et al., 2005; Knapp, 2013; Tamara and Tahapary, 2020). Conversely, obesity can occur as a result of infection (Pasarica and Dhurandhar, 2007; ), and infection-induced chronic low-grade inflammation may lead to insulin resistance (Fernández-Real et al., 2006), suggesting bi-directional interactions between infection and metabolic disorders. Furthermore, several pathogens, such as HSV, CMV, H. pylori, and P. gingivalis, are implicated in both metabolic disorders and AD (Jeon et al., 2012; Harris and Harris, 2015; Fleck-Derderian et al., 2017; ; Lövheim et al., 2018; Mei et al., 2020; ; ; Salem et al., 2021), supporting the potential mechanistic link between infection, MetS, and dementia etiology.
Metabolic Imbalance Causing Central Nervous System Infection Susceptibility
Studies showing possible interactions between metabolic imbalance and infection in dementia etiology, particularly focusing on data highlighting the roles for insulin and leptin, are listed in Table 1.
TABLE 1
| Pathogen/host | Study design and outcome measures | Findings | Proposed direction of causality and/or mechanism | References |
| Borna disease virus (BDV) | ||||
| BDV/mouse | Animal model: virus-induced obesity model using intracerebral injection of BDV-1 in rats. Outcome measures: neuropathology including inflammatory infiltrates and neurodegeneration in the hypothalamus, hippocampal shrinkage, and leptin resistance | BDV infection-induced obesity was associated with: 1. hypothalamic inflammation. 2. Hippocampal involution and microglial activation in the neocortex. 3. Preferential infection of glutamatergic sites, while sparing GABAergic areas, causing (anabolic appetite-stimulating) GABAergic predominance and fat accumulation 4. Leptin resistance in the brain. | CNS infection → Hypothalamic inflammation, neurotransmitter imbalance (GABA predominance), obesity, and leptin resistance. | Gosztonyi et al., 2020 |
| BDV/rat | Animal model: BDV infection models using two different strains: BDV-ob (obesity-inducing) and BDV-bi (no obesity-inducing effect). Outcome measures: Mononuclear infiltrates into the brain, astrogliosis, and neuronal death. | 1. BDV-ob infection and mononuclear infiltrates were restricted to certain brain areas including hypothalamus, hippocampus, and amygdala. Particularly severe infiltration in the median eminence of hypothalamus. (BDV-ob infection was observed evenly throughout the brain.) 2. Mononuclear infiltrates, astrogliosis, and neuronal death in the hippocampus of BDV-ob infected brain. | CNS infection →Hypothalamic inflammation and disruption of neuroendocrine system →Obesity | Herden et al., 2000 |
| Canine distemper virus (CDV) | ||||
| CDV/mouse | Metabolic disturbance: obesity induced by intracerebral CDV infection. Outcome measures: Plasma insulin and lipid composition. | Hyperinsulinemia and triglyceride accumulation in CDV-induced obesity mice | CDV infection → Hyperinsulinemia and obesity | |
| CDV/mouse | Animal model: obesity induced by intracerebral infection with CDV. Outcome measures: Leptin and LepR expression. | Functional LepR was specifically downregulated in the hypothalamus of obese mice. | CNS infection →Leptin resistance in the hypothalamus. → Obesity. | |
| Human immunodeficiency virus (HIV) | ||||
| HIV/human | Subjects: patients with HIV-1 infection (n203, Cohort study). Outcome measures: association between HIV-associated dementia (HAND) and diabetes. | HAND was significantly associated with diabetes (odds ratio 5.43, 1.66–17.70), which was not fully explained by age or coexisting vascular risk factors. | Diabetes ↔ HAND | Valcour et al., 2005 |
| HIV/mouse | Animal model: HIV model in mice using EcoHIV, with vs. without intranasal insulin treatment (daily for 9 days). Outcome measures: cognitive functions, hippocampal neuronal integrity, and the expression of genes associated with brain functions. | 1. Infected mice exhibited cognitive impairment. 2. Intranasal insulin restored cognitive functions, hippocampal dendritic integrity, and gene expressions. 3. The beneficial effect of intranasal insulin was independent of HIV burden in the brain. | Infection →Cognitive impairment. Central insulin treatment → Restoration of brain functions | Kim et al., 2019 |
| HIV/human FIV/cat | 1. Human ex vivo model: (1) brain autopsy of patients with HIV/AIDS. (2) HIV-1 infection in primary human neurons and microglia, treated with insulin. Outcome measures: neuroinflammation and neuronal death. 2. Animal in vivo HAND model: feline retrovirus (FIV) intracranial infection in cats. Insulin intranasal treatment for 6 weeks compared to PBS treatment. Outcome measures: morphological changes in the brain, neuroinflammation, neuronal survival, neurobehavioral performance. | 1-1. Increased neuroinflammatory gene expression in the brain of HIV/AIDS. 1-2. Insulin treatment suppressed HIV-1 growth and reduced infection-induced CSCL10 and IL-6 expression in HIV-infected microglia. 1-3. Insulin treatment prevented HIV-1 infection-induced neuronal death. 2-1. Insulin treatment enhanced the preservation of cortical neurons, and improved neurobehavioral performance in FIV-infected cats. | Infection → Cognitive impairment. Central insulin treatment → Restoration of brain functions. | Mamik et al., 2016 |
| Porphyromonas gingivalis | ||||
| P. gingivalis/mouse | Animal model: db/db mouse infected with P. gingivalis (W83, p.o.). Outcome measures: neuroinflammation in the hippocampus; mRNA levels for genes associated with insulin signaling. | 1. Infection induced reactive microglia and astrocytes. 2. Infection enhanced the expression of insulin signaling pathway genes (e.g., InsR, Igf1, Irs, and Gsk3β). 3. Pro-inflammatory genes were also up-regulated. | Infection → Disruption of insulin signaling pathway and inflammation in the brain. | |
| Toxoplasma gondii | ||||
| T. gondii/rat | Animal model: T. gondii infection model in rats. Outcome measures: plasma leptin levels | Plasma leptin levels increased in chronic T. gondii infection. | CNS infection → Increase in plasma leptin (metabolic imbalance) | |
| West Nile virus (WNV) | ||||
| WNV/mouse | Animal model: db/db mouse infected with WNV. Outcome measures: leukocyte infiltration and neuroinflammation/neuronal damage. | Infection-induced leukocyte infiltration into the brain was reduced, while neuroinflammation/neuronal death was enhanced, in db/db mice. | LepR dysfunction → Increased CNS infection susceptibility | Kumar et al., 2014 |
The roles of insulin and leptin in central nervous system (CNS) infection.
Relevant keywords, such as insulin and leptin, are highlighted in bold.
West Nile Virus
West Nile virus (WNV) is a single-stranded RNA virus, genetically related to the Japanese encephalitis virus (JEV). Transmitted by mosquitoes, WNV potentially causes life-threatening encephalitis or meningitis, especially in the elderly (). In addition, it can cause persistent cognitive impairments (Murray et al., 2014; Vittor et al., 2020). While CNS infiltration of lymphocytes, including CD8+ T cells, is essential in eliminating viruses, persistent inflammation can cause synaptic loss and neuronal death, impairing cognitive ability (Garber et al., 2019; Vittor et al., 2020). Of note, diabetes is a frequent comorbidity of severe WNV diseases and considered a risk factor for developing WNV encephalitis (). In db/db obesity model, WNV infection-induced leukocyte infiltration into the brain was significantly lower, suggesting that obesity compromises protection against viral infection in the brain (Kumar et al., 2014). In particular, infiltration of CD8+ T cells was significantly reduced in obese mice, which was associated with higher viral load and enhanced inflammatory responses in the brain (Kumar et al., 2014), suggesting a role of leptin signaling in protecting the brain via leukocyte recruitment (Rummel et al., 2010).
Porphyromonas gingivalis
Porphyromonas gingivalis is a periodontal disease-causing Gram-negative bacteria found in the oral cavity. Evidence suggests a strong association between P. gingivalis infection and sporadic AD (Kanagasingam et al., 2020), and its presence has been identified in the brain of AD patients (Dominy et al., 2019). P. gingivalis infection can trigger inflammation both in the periphery and CNS in affected individuals, leading to cognitive decline (Dominy et al., 2019; Kanagasingam et al., 2020). In mice, oral P. gingivalis infection led to brain colonization and AD-like pathogenesis, including complement activation and Aβ1–42 formation (Poole et al., 2015; Dominy et al., 2019), suggesting potential mechanistic links between periodontal disease and AD. A systematic review of pre-clinical studies also found that P. gingivalis infection induced inflammatory responses and tissue degeneration in the brain, which were associated with cognitive impairment ().
Periodontitis is also associated with obesity (Suvan et al., 2011; Keller et al., 2015; Nascimento et al., 2015; Khan et al., 2018). High fat diet (HFD) significantly enhanced systemic inflammation induced by periodontal pathogens in rodents (Virto et al., 2018). P. gingivalis infection up-regulated the expression of genes associated with insulin/IGF-1 signaling and induced inflammatory responses in the brain of db/db mice (Virto et al., 2018), suggesting that metabolic imbalance due to dysregulated insulin and leptin signaling pathways may exacerbate the outcome of periodontitis and associated inflammation in the brain.
Human Immunodeficiency Virus
Despite the effectiveness of antiretroviral therapy in saving the lives of many from acquired immunodeficiency syndrome (AIDS), HIV-positive individuals frequently suffer neurocognitive disorders (HAND) (; Foley et al., 2011). While inflammation and brain atrophy due to persistent viral presence in the CNS may partly provide explanations (Pemberton and Brew, 2001; Woods et al., 2010; ; ), exact mechanisms underlying HAND remain unclear.
Metabolic syndromes, including diabetes, is prevalent in HIV-infected individuals (; Paik and Kotler, 2011), and insulin resistance was associated with lower cognitive scores in a HIV-1 cohort (Valcour et al., 2005, 2006), suggesting that HIV infection may increase the risk of cognitive impairment via metabolic dysregulation. In fact, in a murine model of HAND, intranasal insulin administration restored hippocampal dendritic integrity and cognitive functions, independently of HIV burden in the brain (Kim et al., 2019). In primary human neurons and microglia in vitro, insulin suppressed infection-induced inflammatory responses and HIV-1 growth in microglia, and prevented infection-induced neuronal death (Mamik et al., 2016). In addition, in a feline HIV model in vivo, intranasal insulin enhanced the preservation of cortical neurons and improved cognitive performance (Mamik et al., 2016), suggesting that impaired insulin signaling in the CNS may underlie cognitive impairment in HIV positive individuals.
Central Nervous System Infections Causing Metabolic Imbalance – Borna Disease Virus and Canine Distemper Virus
Borna disease virus (BDV) is a neurotropic RNA virus infecting a broad host spectrum including humans. Borna disease was originally observed as infectious diseases in domestic animals in the nineteenth century. The confirmation of human infection has begun since the 1980s, mainly in neuropsychiatric patients (Hatalski et al., 1997; Schwemmle, 2001; Taieb et al., 2001). BDV causes persistent infection in the brain and neurobehavioral deficits associated with neuroinflammation. In an experimental infection model in rodents, it takes a biphasic course characterized by hyperactivity associated with inflammatory lesions in the brain during the first acute stage, followed by the development of varying symptoms, including obesity, depending on viral strains and affected brain regions (Narayan et al., 1983; Herden et al., 2000). Intracerebral infection of rats with a BDV variant induced obesity without neurological signs, which is correlated with severe mononuclear cell infiltration into the hypothalamus, suggesting that infection-induced neuroendocrine dysregulations caused the development of obesity (Herden et al., 2000). It was also suggested that BDV infection-induced neuroinflammation and neurotransmitter imbalance underlie the dysfunction of hypothalamus and leptin resistance, leading to obesity (Gosztonyi et al., 2020).
Canine distemper virus (CDV) is an RNA virus closely related to measles virus, infecting a wide range of host species (Martinez-Gutierrez and Ruiz-Saenz, 2016). CDV causes canine distemper, a severe systemic disease in dogs, presenting a variety of symptoms including neurologic disorders (Martella et al., 2008). In a virus CDV infection-induced obesity model in mice using intracerebral infection, hyperinsulinemia and alteration in leptin signaling were observed (, ). In this model, infection caused hyperinsulinemia and obesity, while CDV showed tropism for the hypothalamus. Obesity developed in up to 30% of the surviving mice (). In addition, functional LepR was specifically down-regulated in the hypothalamus of infected obese mice (), suggesting that CDV infection in the brain induced leptin resistance in the hypothalamus, which led to obesity, thereby increasing the risk of MetS-associated cognitive impairment (Figure 3).
Peripheral Infection and Cognitive Impairment – Potential Involvement of Insulin and Glycemic Control
Peripheral infection-induced metabolic disturbance can lead to CNS dysfunction (Table 2). Sepsis-associated encephalopathy (SAE) is a brain disease secondary to peripheral infection without overt CNS infection, occurring up to 50–70% of sepsis cases (). After initial response to eliminate pathogens, systemic inflammation and increased BBB permeability occur, causing severe encephalopathy. While SAE is partly reversible, it can lead to persistent neurocognitive deficits, increasing the risk of dementia later in life (Widmann and Heneka, 2014; Seidel et al., 2020). Disrupted glycemic control is frequently encountered in sepsis patients (Hirasawa et al., 2009), and it has been suggested that higher infection susceptibility in patients with hyperglycemia is associated with disease severity (Koh et al., 2012). Experimental sepsis in rodents induced cognitive deficits accompanied by hyperglycemia (Huang et al., 2020). BBB disruption, microglial activation, oxidative damage and inflammation in the hippocampus, cortex and cerebrum occurred in those animal models (Michels et al., 2015; Sonneville et al., 2015; Huang et al., 2020), suggesting glial activation and neuroinflammation underlie SAE-induced cognitive impairment. In addition, the experimental sepsis induced more severe brain damages, including microglial activation and neuronal death, in hyperglycemic mice compared to insulin-treated mice (Sonneville et al., 2015), suggesting that poor glycemic control renders CNS more vulnerable to neuroinflammation, and insulin may protect the brain from sepsis-induced neuroinflammation and neuronal damages (Hache et al., 2015).
TABLE 2
| Pathogen or disease/host | Study design and outcome measures | Findings | Proposed direction of causality and/or mechanism | References |
| Sepsis/rat | Animal model: surgically induced polymicrobial sepsis model in rats. Glucose treatment, insulin treatment compared to control. Outcome measures: Blood glucose, behavioral deficits, brain activity (EEG), BBB permeability, glial activation and inflammation in the cerebrum. | 1. Sepsis induced hyperglycemia. 2. Glucose treatment led to a decline in survival rate, reduced brain activity, increased BBB permeability, and enhanced microglial and astroglial activation and inflammatory responses in the cerebrum. 3. Glycemic control (insulin treatment) inhibited inflammatory responses and restored BBB integrity and brain activity to near normal. | Peripheral infection →Hyperglycemia. →Glial activation and neuroinflammation. → Cognitive dysfunction. Note: Insulin help restore brain functions by preventing BBB disruption and neuroinflammation. | Huang et al., 2020 |
| Sepsis/mouse | Animal model: surgically induced polymicrobial sepsis model in mice. Mice with moderate hyperglycemia were compared to control (normoglycemia). Outcome measures: neuronal damages, glial activation, and cell death in the hippocampus and frontal cortex. | (A) In hyperglycemic mice (compared to normoglycemia mice), sepsis induced: 1. Higher neuronal damage in frontal cortex. 2. Microglial activation in frontal cortex and hippocampus. 3. More apoptotic cells in frontal cortex. (B) Insulin prevented the above damages | Hyperglycemia →Enhanced infection (sepsis)-induced brain damage. Note: Insulin prevents hyperglycemia-induced susceptibility to sepsis-induced brain damages | Sonneville et al., 2015 |
| Sepsis/mouse | Animal model: surgically induced polymicrobial sepsis model in mice. Outcome measures: cognitive functions, hippocampal synaptic plasticity, and hippocampal insulin signaling in post-septic mice compared to control. | 1. Post-septic mice exhibited cognitive impairment, which was accompanied by reduced synaptic plasticity and disrupted insulin signaling in the hippocampus. 2. Treatment with a GLP-1 receptor agonist (insulinotropic) or GSK3β inhibitor (insulin signaling downstream) rescued cognition. | Peripheral infection →Disruption of hippocampal insulin signaling. → Impaired synaptic plasticity and cognitive deficits. | Neves et al., 2018 |
| Sepsis/rat | Animal model: sepsis model induced by LPS (i.p.) in rats. Insulin treatment: continuous intravenous infusion for 6h after LPS stimulation. Compared to control (saline). Outcome measures: Inflammatory cytokines and oxidative stress in the cortex, hippocampus, and hypothalamus. | In the brain regions (cortex, hippocampus, and hypothalamus): 1.Insulin alleviated sepsis-induced inflammatory response (IL-1β, IL-6, and TNF-α). 2. Insulin suppressed oxidative damage while restoring antioxidants (SOD and GSH). | Peripheral infection →Inflammation and oxidative stress in the brain. Note: Insulin treatment lowered sepsis-induced inflammation in the brain | |
| Systemic inflammation/mouse | Animal model: LPS (i.p.) challenge in chronic neurodegeneration model (ME7 prion infection) in mice. Treated with glucose and insulin. Outcome measures: blood glucose, cognitive performance | LPS challenge induced hypoglycemia and acute cognitive impairment in mice with brain disease (ME7 prion infection), which was mitigated by glucose and mimicked by insulin. | Peripheral infection →Metabolic imbalance in the CNS. →Cognitive impairment. Note: Brain disease (prion disease) makes the CNS more vulnerable to peripheral inflammation | Kealy et al., 2020 |
The roles of insulin in peripheral infection-induced CNS damage.
Relevant keywords, such as insulin and leptin, are highlighted in bold.
In addition, acute inflammation in the periphery (LPS challenge) induced metabolic changes in the CNS in rodents, and the metabolic imbalance in the brain was associated impaired cognition (Kealy et al., 2020). In addition, LPS-induced acute peripheral inflammation produced hypoglycemia in blood and CSF, and caused severe cognitive impairment selectively in those mice with brain disease (chronic neurodegeneration model induced by prion infection), which was mimicked by insulin and alleviated by glucose administration (Kealy et al., 2020). These data suggest that acute peripheral inflammation can cause neuroinflammation and cognitive deficits via disruption of glycemic control, whereas chronic neuroinflammation, including infection-induced neurodegenerative disorders, renders the brain more vulnerable to metabolic imbalance (Figure 3).
Other Pathogens Affecting Metabolic Balance – Indirect Link to Cognition
‘Infectobesity’ is a concept that proposes the infectious etiology of obesity (Pasarica and Dhurandhar, 2007; van Ginneken et al., 2009). Considering the link between MetS and cognitive decline (Mejido et al., 2020), infectobesity can be an indirect cause of dementia. In addition to BDV and CDV, there are several viruses potentially causing obesity (; ). Rous-associated virus 7 (RAV-7), a retrovirus causing avian leukosis, can induce stunting and obesity in chickens, which is associated with hyperlipidemia and increased insulin levels, as well as immune dysregulation (). Adenovirus 36 (Ad-36) is a human adenovirus associated with obesity (Esposito et al., 2012). Ad-36 infection in adipocytes reduced leptin production while inducing proliferation, differentiation, and lipid accumulation in adipocytes (Vangipuram et al., 2007; van Ginneken et al., 2009), suggesting viral infection of fat cells can directly cause adipogenesis and obesity. Reduced leptin release caused by infection may also compromise CNS-mediated control of energy homeostasis, further enhancing the risk of MetS-associated cognitive impairment (Whitmer et al., 2005; Kivipelto et al., 2006; Mejido et al., 2020).
Gut Microbiome
While the concept of microbial infection and pathogenicity has dominated the mainstream of microbiology, only a small fraction of microorganism are inherently pathogenic. In particular, the gut is inhabited by microbiota, a collection of microorganisms including bacteria, archaea, viruses, and fungi, consisting of at least 1,000 distinct species. Commensal bacterial and fungal species are involved in the regulation/dysregulation of energy homeostasis and immune responses, through extracting and metabolizing nutrients, regulating peripheral and central insulin sensitivity (Schertzer and Lam, 2021), and contributing to intestinal immune control via bidirectional communication with immune cells (Khan et al., 2021). Disruption of the symbiotic relationship between the host and microbiota leads to chronic inflammation and insulin resistance (Patterson et al., 2016). Obesity is associated with altered gut microbial composition in mice and humans, and the trait is transmissible as colonization of germ-free mice with microbiota from obese mice led to a significant increase in body fat compared to colonization with microbiota from lean mice (Turnbaugh et al., 2006), suggesting that gut microbiome is part of the host metabolic system actively regulating energy balance (). It has also been suggested that microbiome plays a crucial role in the communication between the gut and brain (microbiota-gut-brain axis), which is essential for the regulation of energy homeostasis (Romaní-Pérez et al., 2021; van Son et al., 2021) as well as the development and functions of the nervous system (; Gwak and Chang, 2021). Consequently, altered gut microbiota (dysbiosis) has been implicated in a number of chronic inflammatory diseases, such as diabetes (Zawada et al., 2020; Rodriguez and Delzenne, 2021) and neurodegenerative disorders, including AD (Jiang et al., 2017; ; Leblhuber et al., 2021; Romanenko et al., 2021). Furthermore, these indigenous microbiota play a critical role in host defense against infection, through stimulating mucosal immune defenses (e.g., of antimicrobial peptides and IgA release) and limiting resource availability/niche opportunity for invading microbes (Libertucci and Young, 2019). Consequently, dysbiosis has been associated with infection susceptibility (Lazar et al., 2018; Libertucci and Young, 2019), which may further accelerate immunometabolic imbalance.
Probiotics are living microorganisms that provide health benefits by improving or restoring the composition of gut microbiota. It has been shown that probiotics can reduce leptin secretion and improve hypothalamic leptin and insulin resistance in high fat diet-induced obesity models in rodents (; ; Ji et al., 2018; ). Of note, probiotics may prevent AD pathogenesis by improving glucose metabolism. Triple transgenic AD model mice (3xTg-AD) exhibited significant metabolic impairment [increased glycated hemoglobin [HbA1c] in the serum, accumulation of advanced glycation end products (AGE), and impaired glucose uptake due to decreased glucose transporter levels in the brain], and all these parameters were normalized by oral treatment with probiotics (lactic acid bacteria and bifidobacteria) (). These data suggest that beneficial gut microbiome can reduce AD pathogenesis via the restoration of metabolic balance (Figure 3).
Discussion and Conclusion
Metabolic diseases and infection are important risk factors for dementia (Whitmer et al., 2005; Kivipelto et al., 2006; ; Mejido et al., 2020). Metabolic dysregulation enhances infection susceptibility via immune dysfunction, whereas infection, both in the CNS and periphery, can disrupt metabolic balance (Figure 3). In the CNS, infection-induced damage in the regions associated with metabolic control, such as hypothalamus, can disrupt whole-body energy metabolism. In the periphery, infection-induced immune reactions may persist and disarray immunometabolism, resulting in chronic inflammation and increased BBB permeability (Gustafson et al., 2007; Kanoski et al., 2010; Montagne et al., 2015), which can disrupt the CNS integrity, cognitive ability, and central energy control (Montagne et al., 2015). In addition, infection-induced dysregulation of glucose metabolism can lead to glial activation and neuroinflammation (Huang et al., 2020; ). The vicious cycle may further advance the systemic imbalance, while beneficial gut microbiome can restore the balance of immunometabolism. Furthermore, although evidence is still lacking, infectious agents can potentially disrupt the immunometabolism in the brain by infecting microglia and astrocytes. Thus, multidirectional interactions between metabolic imbalance and infection at cellular and systemic levels likely occur during the development of dementia and neurodegenerative disorders. Combined and multifactorial impacts due to these interactions can further exacerbate brain dysfunction. As the key regulators of energy metabolism and immune responses, insulin and leptin play significant roles in those intricate interactions. It should also be noted that other metabolic hormones and adipokines, such as glucagon and adiponectin, similarly take part in immunometabolism, and dysregulation of these molecules are also implicated in neurodegenerative disorders, including AD (Talbot and Wang, 2014; Grieco et al., 2019; Kim et al., 2020). In addition, growing evidence suggests the central actions of thyroid hormones (THs) (); THs exert immunomodulatory roles in the brain by inducing microglial phenotypic changes (Mallat et al., 2002) and affecting the expression of chemokines (). Thyroid dysfunctions are possibly associated with AD pathogenesis (Figueroa et al., 2021). Future research may unveil the interactions between infection and these metabolic hormones.
While the potential therapeutic benefit of insulin in treating dementia has been increasingly recognized (Frölich et al., 1998; Kim et al., 2019; Kellar and Craft, 2020), it is relatively unexplored how the modulation of metabolic regulators, including insulin and leptin, can impact infection-induced neurological disorders. Considering the diverse roles for these molecules play in the immunometabolic network, including the CNS immunometabolism (Larabee et al., 2020), it is plausible that infection-induced damages to the brain can be alleviated by modulating these signaling pathways. On the other hand, it is largely unresolved how glia - pathogen interactions can impact immunometabolism in the CNS and what roles leptin and insulin may play in the interactions. How these relationships may relate to the etiology of dementia is also an unanswered question. Further research is warranted to understand the mechanisms underlying the interrelationship between infection, metabolic disorders, and dementia.
Publisher’s Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Statements
Author contributions
NS wrote the first draft of the manuscript. KK critically assessed the content. NS and KK jointly finalized the manuscript. Both authors contributed to the article and approved the submitted version.
Funding
This study was supported by the Nagasaki University “Doctoral Program for World-leading Innovative and Smart Education” for Global Health, “Global Health Elite Programme for Building a Healthier World”.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
References
1
AbellaV.ScoteceM.CondeJ.PinoJ.Gonzalez-GayM.Gómez-ReinoJ.et al (2017). Leptin in the interplay of inflammation, metabolism and immune system disorders.Nat. Rev. Rheumatol.13100–109. 10.1038/nrrheum.2016.209
2
AiS.KleinR. (2020). Update on T cells in the virally infected brain: friends and foes.Curr. Opin. Neurol.33405–412. 10.1097/WCO.0000000000000825
3
AlliA.OrtizJ.AtootA.AtootA.MillhouseP. (2021). Management of West Nile encephalitis: an uncommon complication of West Nile virus.Cureus13:e13183. 10.7759/cureus.13183
4
AllisonM.MyersM. J. (2014). 20 years of leptin: connecting leptin signaling to biological function.J. Endocrinol.223T25–T35. 10.1530/JOE-14-0404
5
Al-muzafarH.AminK. (2017). Probiotic mixture improves fatty liver disease by virtue of its action on lipid profiles, leptin, and inflammatory biomarkers.BMC Complement. Altern. Med.17:43. 10.1186/s12906-016-1540-z
6
AltiD.SambamurthyC.KalangiS. (2018). Emergence of leptin in infection and immunity: scope and challenges in vaccines formulation.Front. Cell Infect. Microbiol.8:147. 10.3389/fcimb.2018.00147
7
AmoleB.WittnerM.HewlettD.TanowitzH. (1985). Trypanosoma brucei: infection in murine diabetes.Exp. Parasitol.60342–347. 10.1016/0014-4894(85)90040-90042
8
AncesB.OrtegaM.VaidaF.HeapsJ.PaulR. (2012). Independent effects of HIV, aging, and HAART on brain volumetric measures.J. Acquir. Immune Defic. Syndr.59469–477. 10.1097/QAI.0b013e318249db17
9
AndréC.Guzman-QuevedoO.ReyC.Rémus-BorelJ.ClarkS.Castellanos-JankiewiczA.et al (2017). Inhibiting microglia expansion prevents diet-induced hypothalamic and peripheral inflammation.Diabetes Metab. Res. Rev.66908–919. 10.2337/db16-0586
10
AntinoriA.ArendtG.BeckerJ.BrewB.ByrdD.ChernerM.et al (2007). Updated research nosology for HIV-associated neurocognitive disorders.Neurology691789–1799. 10.1212/01.WNL.0000287431.88658.8b
11
ArnoldS.ArvanitakisZ.Macauley-RambachS.KoenigA.WangH.AhimaR.et al (2018). Brain insulin resistance in type 2 diabetes and Alzheimer disease: concepts and conundrums.Nat. Rev. Neurol.14168–181. 10.1038/nrneurol.2017.185
12
ArvanitakisZ.WilsonR.BieniasJ.EvansD.BennettD. (2004). Diabetes mellitus and risk of Alzheimer disease and decline in cognitive function.Arch. Neurol.61661–666. 10.1001/archneur.61.5.661
13
AshrafG.TarasovV.MakhmutovàA.ChubarevV.Avila-RodriguezM.BachurinS.et al (2019). The possibility of an infectious etiology of Alzheimer disease.Mol. Neurobiol.564479–4491. 10.1007/s12035-018-1388-y
14
AtkinsonR. (2007). Viruses as an etiology of obesity.Mayo Clin. Proc.821192–1198. 10.4065/82.10.1192
15
AvalosC.AbreuC.QueenS.LiM.PriceS.ShirkE.et al (2017). Brain macrophages in simian immunodeficiency virus-infected, antiretroviral-suppressed macaques.mBio8:e01186-17. 10.1128/mBio.01186-1117
16
BäckhedF.DingH.WangT.HooperL.KohG.NagyA.et al (2004). The gut microbiota as an environmental factor that regulates fat storage.Proc. Natl. Acad. Sci. U S A.10115718–15723. 10.1073/pnas.0407076101
17
BadawiA.VelummailumR.RyooS.SenthinathanA.YaghoubiS.VasilevaD.et al (2018). Prevalence of chronic comorbidities in dengue fever and West Nile virus: a systematic review and meta-analysis.PLoS One13:e0200200. 10.1371/journal.pone.0200200
18
BagarolliR.TobarN.OliveiraA.AraújoT.CarvalhoB.RochaG.et al (2017). Probiotics modulate gut microbiota and improve insulin sensitivity in DIO mice.J. Nutr. Biochem.5016–25. 10.1016/j.jnutbio.2017.08.00
19
BaharB.KanagasingamS.TambuwalaM.AljabaliA.DillonS.DoaeiS.et al (2021). Porphyromonas gingivalis (W83) infection induces Alzheimer’s disease-like pathophysiology in obese and diabetic mice.J. Alzheimers Dis.821259–1275. 10.3233/JAD-210465
20
BalinB.GérardH.ArkingE.AppeltD.BraniganP.AbramsJ.et al (1998). Identification and localization of Chlamydia pneumoniae in the Alzheimer’s brain.Med. Microbiol. Immunol.18723–42. 10.1007/s004300050071
21
BaltaciA.MogulkocR. (2012). Plasma leptin levels in rats with induced Toxoplasma gondii infection.Bratisl Lek List.11367–69. 10.4149/bll_2012_016
22
BalthasarN.CoppariR.McMinnJ.LiuS.LeeC.TangV.et al (2004). Leptin receptor signaling in POMC neurons is required for normal body weight homeostasis.Neuron42983–991. 10.1016/j.neuron.2004.06.004
23
BalyanR.GautamN.GascoigneN. (2020). The Ups and downs of metabolism during the lifespan of a T Cell.Int. J. Mol. Sci.21:7972. 10.3390/ijms21217972
24
BanksW.FarrellC. (2003). Impaired transport of leptin across the blood-brain barrier in obesity is acquired and reversible.Am. J. Physiol. Endocrinol. Metab.285E10–E15. 10.1152/ajpendo.00468.2002
25
BanksW.OwenJ.EricksonM. (2012). Insulin in the brain: there and back again.Pharmacol. Ther.13682–93. 10.1016/j.pharmthera.2012.07.006
26
BaradaranA.DehghanbanadakiH.NaderpourS.PirkashaniL.RajabiA.RashtiR.et al (2021). The association between Helicobacter pylori and obesity: a systematic review and meta-analysis of case-control studies.Clin. Diabetes Endocrinol.7:15. 10.1186/s40842-021-00131-w
27
BarriosV.López-VillarE.FragoL.CanellesS.Díaz-GonzálezF.Burgos-RamosE.et al (2021). Cerebral insulin bolus revokes the changes in hepatic lipid metabolism induced by chronic central leptin infusion.Cells10:581. 10.3390/cells10030581
28
BernardA.CohenR.KhuthS.VedrineB.VerlaetenO.AkaokaH.et al (1999). Alteration of the leptin network in late morbid obesity induced in mice by brain infection with canine distemper virus.J. Virol.737317–7327. 10.1128/JVI.73.9.7317-7327.1999
29
BernardA.ZwingelsteinG.MeisterR.WildT. (1988). Hyperinsulinemia induced by canine distemper virus infection of mice and its correlation with the appearance of obesity.Comp. Biochem. Physiol. B91691–696. 10.1016/0305-0491(88)90193-90199
30
BernierL.YorkE.KamyabiA.ChoiH.WeilingerN.MacVicarB. (2020). Microglial metabolic flexibility supports immune surveillance of the brain parenchyma.Nat. Commun.11:1559. 10.1038/s41467-020-15267-z
31
BeydounM.BeydounH.ElbejjaniM.DoreG.ZondermanA. (2018). Helicobacter pylori seropositivity and its association with incident all-cause and Alzheimer’s disease dementia in large national surveys.Alzheimers Dement141148–1158. 10.1016/j.jalz.2018.04.009
32
BiesselsG.DespaF. (2018). Cognitive decline and dementia in diabetes mellitus: mechanisms and clinical implications.Nat. Rev. Endocrinol.14591–604.
33
BiesselsG.StaekenborgS.BrunnerE.BrayneC.ScheltensP. (2006). Risk of dementia in diabetes mellitus: a systematic review.Lancet Neurol.564–74. 10.1016/S1474-4422(05)70284-70282
34
BondaD.StoneJ.TorresS.SiedlakS.PerryG.KryscioR.et al (2014). Dysregulation of leptin signaling in Alzheimer disease: evidence for neuronal leptin resistance.J. Neurochem.128162–172. 10.1111/jnc.12380
35
BonfiliL.CecariniV.GogoiO.BerardiS.ScarponaS.AngelettiM.et al (2020). Gut microbiota manipulation through probiotics oral administration restores glucose homeostasis in a mouse model of Alzheimer’s disease.Neurobiol. Aging8735–43. 10.1016/j.neurobiolaging.2019.11.004
36
BosI.VosS.FrölichL.KornhuberJ.WiltfangJ.MaierW.et al (2017). The frequency and influence of dementia risk factors in prodromal Alzheimer’s disease.Neurobiol. Aging5633–40. 10.1016/j.neurobiolaging.2017.03.034
37
BoucseinA.KamstraK.TupsA. (2021). Central signalling cross-talk between insulin and leptin in glucose and energy homeostasis.J. Neuroendocr.33:e12944. 10.1111/jne.12944
38
BoutensL.HooiveldG.DhingraS.CramerR.NeteaM.StienstraR. (2018). Unique metabolic activation of adipose tissue macrophages in obesity promotes inflammatory responses.Diabetologia61942–953. 10.1007/s00125-017-4526-4526
39
BrabazonF.BermudezS.ShaughnessM.KhayrullinaG.ByrnesK. (2018). The effects of insulin on the inflammatory activity of BV2 microglia.PLoS One13:e0201878. 10.1371/journal.pone.0201878
40
BrewB.BarnesS. (2019). The impact of HIV central nervous system persistence on pathogenesis.AIDS33S113–S121. 10.1097/QAD.0000000000002251
41
BullochK.MillerM.Gal-TothJ.MilnerT.Gottfried-BlackmoreA.WatersE.et al (2008). CD11c/EYFP transgene illuminates a discrete network of dendritic cells within the embryonic, neonatal, adult, and injured mouse brain.J. Comp. Neurol.508687–710. 10.1002/cne.21668
42
Caldefie-ChezetF.PoulinA.VassonM. (2003). Leptin regulates functional capacities of polymorphonuclear neutrophils.Free Radic. Res.37809–814. 10.1080/1071576031000097526
43
CalzaL.MasettiG.PiergentiliB.TrapaniF.CascavillaA.ManfrediR.et al (2011). Prevalence of diabetes mellitus, hyperinsulinaemia and metabolic syndrome among 755 adult patients with HIV-1 infection.Int. J. STD AIDS2243–45. 10.1258/ijsa.2010.010256
44
CapelliV.DiéguezC.MittagJ.LópezM. (2021). Thyroid wars: the rise of central actions.Trends Endocrinol. Metab.32659–671. 10.1016/j.tem.2021.05.006
45
CárdenasG.Soto-HernándezJ.Díaz-AlbaA.UgaldeY.Mérida-PugaJ.RosettiM.et al (2014). Neurological events related to influenza A (H1N1) pdm09.Influ. Other Respir. Viruses8339–346. 10.1111/irv.12241
46
CarroE.TrejoJ.NúñezA.Torres-AlemanI. (2003). Brain repair and neuroprotection by serum insulin-like growth factor.Mol. Neurobiol.27153–162.
47
CarterJ.SmithR. (1984). Specificity of avian leukosis virus-induced hyperlipidemia.J. Virol.50301–308. 10.1128/JVI.50.2.301-308.1984
48
CeredaE.SansoneV.MeolaG.MalavazosA. (2007). Increased visceral adipose tissue rather than BMI as a risk factor for dementia.Age Ageing36488–491. 10.1093/ageing/afm096
49
CheeranM.HuS.YagerS.GekkerG.PetersonP.LokensgardJ. (2001). Cytomegalovirus induces cytokine and chemokine production differentially in microglia and astrocytes.J. Neurovirol.7135–147. 10.1080/13550280152058799
50
ChenH.CharlatO.TartagliaL.WoolfE.WengX.EllisS.et al (1996). Evidence that the diabetes gene encodes the leptin receptor: identification of a mutation in the leptin receptor gene in db/db mice.Cell84491–495. 10.1016/s0092-8674(00)81294-81295
51
ChenQ.YuW.ShiJ.ShenJ.GaoT.ZhangJ.et al (2014). Insulin alleviates the inflammatory response and oxidative stress injury in cerebral tissues in septic rats.J. Inflamm.11:18. 10.1186/1476-9255-11-18
52
ChenY.ZhaoY.DaiC.LiangZ.RunX.IqbalK.et al (2014). Intranasal insulin restores insulin signaling, increases synaptic proteins, and reduces Abeta level and microglia activation in the brains of 3xTg-AD mice.Exp. Neurol.261610–619. 10.1016/j.expneurol.2014.06.004
53
ChenY.XuJ.ChenY. (2021). Regulation of neurotransmitters by the gut microbiota and effects on cognition in neurological disorders.Nutrients13:2099. 10.3390/nu13062099
54
ChengY.LiuJ. (2020). Effect of Lactobacillus rhamnosus GG on energy metabolism, leptin resistance, and gut microbiota in mice with diet-induced obesity.Nutrients12:2557. 10.3390/nu12092557
55
ChiH. (2012). Regulation and function of mTOR signalling in T cell fate decisions.Nat. Rev. Immunol.12325–338. 10.1038/nri3198
56
ChowenJ.Garcia-SeguraL. (2020). Microglia, neurodegeneration and loss of neuroendocrine control.Prog. Neurobiol.184:101720. 10.1016/j.pneurobio.2019.101720
57
CohenS.DanzakiK.MacIverN. (2017). Nutritional effects on T-cell immunometabolism.Eur. J. Immunol.47225–235. 10.1002/eji.201646423
58
ColonnaM.ButovskyO. (2017). Microglia function in the central nervous system during health and neurodegeneration.Annu. Rev. Immunol.35441–468. 10.1146/annurev-immunol-051116-052358
59
CondeJ.ScoteceM.GómezR.Gómez-ReinoJ.LagoF.GualilloO. (2010). At the crossroad between immunity and metabolism: focus on leptin.Expert Rev. Clin. Immunol.6801–808. 10.1586/eci.10.48
60
CostaM.de AraújoI.da Rocha, AlvesL.da SilvaR.Dos Santoset al (2021). Relationship of Porphyromonas gingivalis and Alzheimer’s disease: a systematic review of pre-clinical studies.Clin. Oral Investig.25797–806. 10.1007/s00784-020-03764-w
61
CuriR.Levada-PiresA.SilvaE.PomaS.ZambonattoR.DomenechP.et al (2020). The critical role of cell metabolism for essential neutrophil functions.Cell Physiol. Biochem.54629–647. 10.33594/000000245
62
DaniN.HerbstR.McCabeC.GreenG.KaiserK.HeadJ.et al (2021). A cellular and spatial map of the choroid plexus across brain ventricles and ages.Cell1843056–3074. 10.1016/j.cell.2021.04.003
63
DavisA.RohlwinkU.ProustA.FigajiA.WilkinsonR. (2019). The pathogenesis of tuberculous meningitis.J. Leukoc. Biol.105267–280. 10.1002/JLB.MR0318-102R
64
DavisB.Salinas-NavarroM.CordeiroM.MoonsL.De GroefL. (2017). Characterizing microglia activation: a spatial statistics approach to maximize information extraction.Sci. Rep.7:1576. 10.1038/s41598-017-01747-1748
65
DavisN.MotaB.SteadL.PalmerE.LombarderoL.Rodríguez-PuertasR.et al (2021). Pharmacological ablation of astrocytes reduces Aβ degradation and synaptic connectivity in an ex vivo model of Alzheimer’s disease.J. Neuroinflamm.18:73. 10.1186/s12974-021-02117-y
66
DavisP.GlinskyG.LinH.MousaS. (2016). Actions of thyroid hormone analogues on chemokines.J. Immunol. Res.2016:3147671. 10.1155/2016/3147671
67
De StrooperB.KarranE. (2016). The cellular phase of Alzheimer’s disease.Cell164603–615. 10.1016/j.cell.2015.12.056
68
DeckersK.Van BoxtelM.VerheyF.KöhlerS. (2017). Obesity and cognitive decline in adults: effect of methodological choices and confounding by age in a longitudinal study.J. Nutr. Heal. Aging21546–553. 10.1007/s12603-016-0757-753
69
DhurandharN. (2001). Infectobesity: obesity of infectious origin.J. Nutr.1312794S–2797S. 10.1093/jn/131.10.2794S
70
DhurandharN. (2011). A framework for identification of infections that contribute to human obesity.Lancet Infect. Dis.11963–969. 10.1016/S1473-3099(11)70274-70272
71
DiAngeloJ.BlandM.BambinaS.CherryS.BirnbaumM. (2009). The immune response attenuates growth and nutrient storage in Drosophila by reducing insulin signaling.Proc. Natl. Acad. Sci. U S A.10620853–20858. 10.1073/pnas.0906749106
72
DietrichM.SpuchC.AntequeraD.RodalI.de YébenesJ.MolinaJ.et al (2008). Megalin mediates the transport of leptin across the blood-CSF barrier.Neurobiol. Aging29902–912. 10.1016/j.neurobiolaging.2007.01.008
73
DominyS.LynchC.ErminiF.BenedykM.MarczykA.KonradiA.et al (2019). Porphyromonas gingivalis in Alzheimer’s disease brains: evidence for disease causation and treatment with small-molecule inhibitors.Sci. Adv.5:eaau3333. 10.1126/sciadv.aau3333
74
DrögemüllerK.HelmuthU.BrunnA.Sakowicz-BurkiewiczM.GutmannD.MuellerW.et al (2008). Astrocyte gp130 expression is critical for the control of Toxoplasma encephalitis.J. Immunol.1812683–2693. 10.4049/jimmunol.181.4.2683
75
DuL.LinL.LiQ.LiuK.HuangY.WangX.et al (2019). IGF-2 preprograms maturing macrophages to acquire oxidative phosphorylation-dependent anti-inflammatory properties.Cell Metab.291363–1375. 10.1016/j.cmet.2019.01.006
76
DyerA.VahdatpourC.SanfeliuA.TropeaD. (2016). The role of Insulin-Like Growth Factor 1 (IGF-1) in brain development, maturation and neuroplasticity.Neuroscience32589–99. 10.1016/j.neuroscience.2016.03.056
77
El SaftawyE.AminN.SabryR.El-AnwarN.ShashR.ElsebaieE.et al (2020). Can Toxoplasma gondii pave the road for dementia?J. Parasitol. Res.2020:8859857. 10.1155/2020/8859857
78
ElmquistJ.BjørbaekC.AhimaR.FlierJ.SaperC. (1998). Distributions of leptin receptor mRNA isoforms in the rat brain.J. Comp. Neurol.395535–547.
79
EspositoK.NappoF.MarfellaR.GiuglianoG.GiuglianoF.CiotolaM.et al (2002). Inflammatory cytokine concentrations are acutely increased by hyperglycemia in humans: role of oxidative stress.Circulation1062067–2072. 10.1161/01.cir.0000034509.14906.ae
80
EspositoS.PretiV.ConsoloS.NazzariE.PrincipiN. (2012). Adenovirus 36 infection and obesity.J. Clin. Virol.5595–100. 10.1016/j.jcv.2012.06.009
81
FaggioniR.FantuzziG.GabayC.MoserA.DinarelloC.FeingoldK.et al (1999). Leptin deficiency enhances sensitivity to endotoxin-induced lethality.Am. J. Physiol.276R136–R142. 10.1152/ajpregu.1999.276.1.R136
82
FantuzziG.FaggioniR. (2000). Leptin in the regulation of immunity, inflammation, and hematopoiesis.J. Leukoc. Biol.68437–446.
83
FasshauerM.BlüherM. (2015). Adipokines in health and disease.Trends Pharmacol. Sci.36461–470. 10.1016/j.tips.2015.04.014
84
FernandezA.HernandezE.Guerrero-GomezD.Miranda-VizueteA.Torres AlemanI. (2018). A network of insulin peptides regulate glucose uptake by astrocytes: potential new druggable targets for brain hypometabolism.Neuropharmacology136216–222. 10.1016/j.neuropharm.2017.08.034
85
FernandezA.Torres-AlemanI. (2012). The many faces of insulin-like peptide signalling in the brain.Nat. Rev. Neurosci.13225–239.
86
Fernández-MartosC.GonzálezP.RodriguezF. (2012). Acute leptin treatment enhances functional recovery after spinal cord injury.PLoS One7:e35594. 10.1371/journal.pone.0035594
87
Fernández-RealJ.FerriM.VendrellJ.RicartW. (2007). Burden of infection and fat mass in healthy middle-aged men.Obes (Silver Spring)15245–252. 10.1038/oby.2007.541
88
Fernández-RealJ.López-BermejoA.VendrellJ.FerriM.RecasensM.RicartW. (2006). Burden of infection and insulin resistance in healthy middle-aged men.Diabetes Care291058–1064. 10.2337/diacare.2951058
89
FerriC.PrinceM.BrayneC.BrodatyH.FratiglioniL.GanguliM.et al (2005). Global prevalence of dementia: a Delphi consensus study.Lancet3662112–2117. 10.1016/S0140-6736(05)67889-67880
90
FigueroaP.FerreiraA.BrittoL.DoussoulinA.TorrãoA. (2021). Association between thyroid function and Alzheimer’s disease: a systematic review.Metab. Brain Dis.361523–1543. 10.1007/s11011-021-00760-761
91
FischerA.CannonB.NedergaardJ. (2020). Leptin: is it thermogenic?Endocr Rev.41232–260. 10.1210/endrev/bnz016
92
FischerH.ReichmannG. (2001). Brain dendritic cells and macrophages/microglia in central nervous system inflammation.J. Immunol.1662717–2726. 10.4049/jimmunol.166.4.2717
93
Fleck-DerderianS.McClellanW.WojcickiJ. (2017). The association between cytomegalovirus infection, obesity, and metabolic syndrome in U.S. adult females.Obes (Silver Spring)25626–633. 10.1002/oby.21764
94
FoleyJ.WrightM.GoodingA.EttenhoferM.KimM.ChoiM.et al (2011). Operationalization of the updated diagnostic algorithm for classifying HIV-related cognitive impairment and dementia.Int. Psychogeriatr.23835–843. 10.1017/S1041610210002085
95
FranciscoV.Ruiz-FernándezC.PinoJ.MeraA.González-GayM.GómezR.et al (2019). Adipokines: linking metabolic syndrome, the immune system, and arthritic diseases.Biochem. Pharmacol.165196–206. 10.1016/j.bcp.2019.03.030
96
FriedmanJ. (2019). Leptin and the endocrine control of energy balance.Nat. Metab.1754–764. 10.1038/s42255-019-0095-y
97
FrölichL.Blum-DegenD.BernsteinH.EngelsbergerS.HumrichJ.LauferS.et al (1998). Brain insulin and insulin receptors in aging and sporadic Alzheimer’s disease.J. Neural Transm. (Vienna).105423–438. 10.1007/s007020050068
98
FujitaY.YamashitaT. (2019). The effects of leptin on glial cells in neurological diseases.Front. Neurosci.13:828. 10.3389/fnins.2019.00828
99
FulopT.TripathiS.RodriguesS.DesrochesM.BuntT.EiserA.et al (2021). Targeting impaired antimicrobial immunity in the brain for the treatment of Alzheimer’s disease.Neuropsychiatr Dis. Treat171311–1339. 10.2147/NDT.S264910
100
FultonS.PissiosP.ManchonR.StilesL.FrankL.PothosE. N.et al (2006). Leptin regulation of the mesoaccumbens dopamine pathway.Neuron51811–822. 10.1016/j.neuron.2006.09.006
101
FünfschillingU.SupplieL.MahadD.BoretiusS.SaabA.EdgarJ.et al (2012). Glycolytic oligodendrocytes maintain myelin and long-term axonal integrity.Nature485517–521. 10.1038/nature11007
102
GabboujS.RyhänenS.MarttinenM.WittrahmR.TakaloM.KemppainenS.et al (2019). Altered insulin signaling in Alzheimer’s disease brain - special emphasis on PI3K-Akt pathway.Front. Neurosci.13:629. 10.3389/fnins.2019.00629
103
GaberT.StrehlC.ButtgereitF. (2017). Metabolic regulation of inflammation.Nat. Rev. Rheumatol.13267–279. 10.1038/nrrheum.2017.37
104
GaoY.Vidal-ItriagoA.MilanovaI.KorpelN.KalsbeekM.TomR.et al (2018). Deficiency of leptin receptor in myeloid cells disrupts hypothalamic metabolic circuits and causes body weight increase.Mol. Metab.7155–160. 10.1016/j.molmet.2017.11.003
105
GarberC.SoungA.VollmerL.KanmogneM.LastA.BrownJ.et al (2019). T cells promote microglia-mediated synaptic elimination and cognitive dysfunction during recovery from neuropathogenic flaviviruses.Nat. Neurosci.221276–1288. 10.1038/s41593-019-0427-y
106
GautronL.ElmquistJ. (2011). Sixteen years and counting: an update on leptin in energy balance.J. Clin. Invest.1212087–2093. 10.1172/JCI45888
107
GemmaC.BachstetterA.BickfordP. (2010). Neuron-Microglia dialogue and hippocampal neurogenesis in the aged brain.Aging Dis.1232–244.
108
GerozissisK. (2003). Brain insulin: regulation, mechanisms of action and functions.Cell Mol. Neurobiol.23873–874.
109
GhazanfariN.GregoryJ.DeviS.Fernandez-RuizD.BeattieL.MuellerS.et al (2021). CD8(+) and CD4(+) T cells infiltrate into the brain during Plasmodium berghei ANKA infection and form long-term resident memory.J. Immunol.2071578–1590. 10.4049/jimmunol.2000773
110
González-GarcíaI.GruberT.García-CáceresC. (2021). Insulin action on astrocytes: from energy homeostasis to behaviour.J. Neuroendocr.33:e12953. 10.1111/jne.12953
111
GordleevaS.KanakovO.IvanchenkoM.ZaikinA.FranceschiC. (2020). Brain aging and garbage cleaning: modelling the role of sleep, glymphatic system, and microglia senescence in the propagation of inflammaging.Semin. Immunopathol.42647–665. 10.1007/s00281-020-00816-x
112
GosztonyiG.LudwigH.BodeL.KaoM.SellM.PetruszP.et al (2020). Obesity induced by Borna disease virus in rats: key roles of hypothalamic fast-acting neurotransmitters and inflammatory infiltrates.Brain Struct. Funct.2251459–1482. 10.1007/s00429-020-02063-2060
113
GosztylaM.BrothersH.RobinsonS. (2018). Alzheimer’s amyloid-beta is an antimicrobial peptide: a review of the evidence.J. Alzheimers Dis.621495–1506. 10.3233/JAD-171133
114
GrayS.MeijerR.BarrettE. (2014). Insulin regulates brain function, but how does it get there?Diabetes633992–3997. 10.2337/db14-0340
115
GriecoM.GiorgiA.GentileM.D’ErmeM.MoranoS.MarasB.et al (2019). Glucagon-Like Peptide-1: a focus on neurodegenerative diseases.Front. Neurosci.13:1112. 10.3389/fnins.2019.01112
116
GruzdevaO.BorodkinaD.UchasovaE.DylevaY.BarbarashO. (2019). Leptin resistance: underlying mechanisms and diagnosis.Diab. Metab. Syndr. Obes12191–198. 10.2147/DMSO.S182406
117
GuglielmiV.ColangeliL.D’AdamoM.SbracciaP. (2021). Susceptibility and severity of viral infections in obesity: lessons from influenza to COVID-19. does leptin play a role?Int. J. Mol. Sci.22:3183. 10.3390/ijms22063183
118
GuoZ.ChenY.MaoY.ZhengT.JiangY.YanY.et al (2017). Long-term treatment with intranasal insulin ameliorates cognitive impairment, tau hyperphosphorylation, and microglial activation in a streptozotocin-induced Alzheimer’s rat model.Sci. Rep.7:45971. 10.1038/srep45971
119
GustafsonD.KarlssonC.SkoogI.RosengrenL.LissnerL.BlennowK. (2007). Mid-life adiposity factors relate to blood-brain barrier integrity in late life.J. Int. Med.262643–650. 10.1111/j.1365-2796.2007.01869.x
120
GwakM.ChangS. (2021). Gut-Brain connection: microbiome, gut barrier, and environmental sensors.Immune Netw.21:e20. 10.4110/in.2021.21.e20
121
HaasC.de CarvalhoA.MullerA.EggenB.PortelaL. (2020). Insulin activates microglia and increases COX-2/IL-1beta expression in young but not in aged hippocampus.Brain Res.1741:146884. 10.1016/j.brainres.2020.146884
122
HacheG.OsuchowskiM.ThiemermannC. (2015). Does insulin protect the brain in mice and man with sepsis?Shock44:287. 10.1097/SHK.0000000000000423
123
HamdyO.PorramatikulS.Al-OzairiE. (2006). Metabolic obesity: the paradox between visceral and subcutaneous fat.Curr. Diab. Rev.2367–373. 10.2174/1573399810602040367
124
HargraveK.WoodsS.MillingtonO.ChalmersS.WestropG.RobertsC. (2019). Multi-Omics studies demonstrate Toxoplasma gondii-induced metabolic reprogramming of murine dendritic cells.Front. Cell Infect. Microbiol.9:309. 10.3389/fcimb.2019.00309
125
HarrisS.HarrisE. (2015). Herpes simplex virus type 1 and other pathogens are key causative factors in sporadic Alzheimer’s disease.J. Alzheimers. Dis.48319–353. 10.3233/JAD-142853
126
HaslamD.JamesW. (2005). Obesity.Lancet3661197–1209. 10.1016/S0140-6736(05)67483-67481
127
HatalskiC.LewisA.LipkinW. (1997). Borna disease.Emerg. Infect. Dis.3129–135. 10.3201/eid0302.970205
128
HeldermanJ. (1984). Acute regulation of human lymphocyte insulin receptors. analysis by the glucose clamp.J. Clin. Invest.741428–1435. 10.1172/JCI111554
129
HeldermanJ.ReynoldsT.StromT. (1978). The insulin receptor as a universal marker of activated lymphocytes.Eur. J. Immunol.8589–595. 10.1002/eji.1830080810
130
HenekaM.CarsonM.El KhouryJ.LandrethG.BrosseronF.FeinsteinD.et al (2015). Neuroinflammation in Alzheimer’s disease.Lancet Neurol.14388–405. 10.1016/S1474-4422(15)70016-70015
131
HenekaM.GolenbockD.LatzE.MorganD.BrownR. (2020). Immediate and long-term consequences of COVID-19 infections for the development of neurological disease.Alzheimers Res. Ther.12:69. 10.1186/s13195-020-00640-643
132
HeniM.HennigeA.PeterA.Siegel-AxelD.OrdelheideA.KrebsN.et al (2011). Insulin promotes glycogen storage and cell proliferation in primary human astrocytes.PLoS One6:e21594. 10.1371/journal.pone.0021594
133
HerdenC.HerzogS.RichtJ.NesselerA.ChristM.FailingK.et al (2000). Distribution of borna disease virus in the brain of rats infected with an obesity-inducing virus strain.Brain Pathol.1039–48. 10.1111/j.1750-3639.2000.tb00241.x
134
Hernandez-GarzónE.FernandezA.Perez-AlvarezA.GenisL.BascuñanaP.Fernandez de la RosaR.et al (2016). The insulin-like growth factor I receptor regulates glucose transport by astrocytes.Glia641962–1971. 10.1002/glia.23035
135
HerzJ.FilianoA.SmithA.YogevN.KipnisJ. (2017). Myeloid cells in the central nervous system.Immunity46943–956. 10.1016/j.immuni.2017.06.007
136
Hierro-BujalanceC.Del MarcoA.José Ramos-RodríguezJ.Infante-GarciaC.Bella Gomez-SantosS.HerreraM.et al (2020). Cell proliferation and neurogenesis alterations in Alzheimer’s disease and diabetes mellitus mixed murine models.J. Neurochem.154673–692. 10.1111/jnc.14987
137
HirasawaH.OdaS.NakamuraM. (2009). Blood glucose control in patients with severe sepsis and septic shock.World J. Gastroenterol.154132–4136. 10.3748/wjg.15.4132
138
HoldenK.LindquistK.TylavskyF.RosanoC.HarrisT.YaffeK. (2009). Serum leptin level and cognition in the elderly: findings from the Health ABC Study.Neurobiol. Aging301483–1489. 10.1016/j.neurobiolaging.2007.11.024
139
HommelJ.TrinkoR.SearsR.GeorgescuD.LiuZ.GaoX.et al (2006). Leptin receptor signaling in midbrain dopamine neurons regulates feeding.Neuron51801–810. 10.1016/j.neuron.2006.08.023
140
HotamisligilG. (2017). Inflammation, metaflammation and immunometabolic disorders.Nature542177–185. 10.1038/nature21363
141
HowardJ.LordG.MatareseG.VendettiS.GhateiM.RitterM.et al (1999). Leptin protects mice from starvation-induced lymphoid atrophy and increases thymic cellularity in ob/ob mice.J. Clin. Invest.1041051–1059. 10.1172/JCI6762
142
HsuA.AronoffD.PhippsJ.GoelD.MancusoP. (2007). Leptin improves pulmonary bacterial clearance and survival in ob/ob mice during Pneumococcal pneumonia.Clin. Exp. Immunol.150332–339. 10.1111/j.1365-2249.2007.03491.x
143
HuangC.LueJ.ChengT.TsaiY. (2020). Glycemic control with insulin attenuates sepsis-associated encephalopathy by inhibiting glial activation via the suppression of the nuclear factor kappa B and mitogen-activated protein kinase signaling pathways in septic rats.Brain Res.1738:146822. 10.1016/j.brainres.2020.146822
144
HuizingaG.SingerB.SingerK. (2020). The Collision of Meta-Inflammation and SARS-CoV-2 Pandemic Infection.Endocrinology161:bqaa154. 10.1210/endocr/bqaa154
145
ImamuraT.YanagiharaY.OhyagiY.NakamuraN.IinumaK.YamasakiR.et al (2020). Insulin deficiency promotes formation of toxic amyloid-beta42 conformer co-aggregating with hyper-phosphorylated tau oligomer in an Alzheimer’s disease model.Neurobiol. Dis.137:104739. 10.1016/j.nbd.2020.104739
146
IqbalU.ZengE.PasinettiG. (2020). The use of antimicrobial and antiviral drugs in Alzheimer’s disease.Int. J. Mol. Sci.21:4920. 10.3390/ijms21144920
147
IrieF.FitzpatrickA.LopezO.KullerL.PeilaR.NewmanA.et al (2008). Enhanced risk for Alzheimer disease in persons with type 2 diabetes and APOE epsilon4: the cardiovascular health study cognition study.Arch. Neurol.6589–93. 10.1001/archneurol.2007.29
148
IzquierdoA.CrujeirasA.CasanuevaF.CarreiraM. (2019). Leptin, obesity, and leptin resistance: where are we 25 years later?Nutrients11:2704. 10.3390/nu11112704
149
JeonC.HaanM.ChengC.ClaytonE.MayedaE.MillerJ.et al (2012). Helicobacter pylori infection is associated with an increased rate of diabetes.Diab. Care35520–525. 10.2337/dc11-1043
150
JhaM.MorrisonB. (2018). Glia-neuron energy metabolism in health and diseases: new insights into the role of nervous system metabolic transporters.Exp. Neurol.30923–31. 10.1016/j.expneurol.2018.07.009
151
JiY.ParkS.ParkH.HwangE.ShinH.PotB.et al (2018). Modulation of active gut microbiota by Lactobacillus rhamnosus GG in a diet induced obesity murine model.Front. Microbiol.9:710. 10.3389/fmicb.2018.00710
152
JiangC.LiG.HuangP.LiuZ.ZhaoB. (2017). The gut microbiota and Alzheimer’s disease.J. Alzheimers Dis.581–15. 10.3233/JAD-161141
153
Jiménez-CorteganaC.López-SaavedraA.Sánchez-JiménezF.Pérez-PérezA.CastiñeirasJ.Virizuela-EchaburuJ.et al (2021). Leptin, both bad and good actor in Cancer.Biomolecules11:913. 10.3390/biom11060913
154
KanagasingamS.ChukkapalliS.WelburyR.SinghraoS. (2020). Porphyromonas gingivalis is a strong risk factor for Alzheimer’s disease.J. Alzheimers Dis. Rep.4501–511. 10.3233/ADR-200250
155
KanoskiS.ZhangY.ZhengW.DavidsonT. (2010). The effects of a high-energy diet on hippocampal function and blood-brain barrier integrity in the rat.J. Alzheimers Dis.21207–219. 10.3233/JAD-2010-091414
156
KarmanJ.LingC.SandorM.FabryZ. (2004). Initiation of immune responses in brain is promoted by local dendritic cells.J. Immunol.1732353–2361. 10.4049/jimmunol.173.4.2353
157
KatsouriL.BirchA.RenziehausenA.ZachC.AmanY.SteedsH.et al (2020). Ablation of reactive astrocytes exacerbates disease pathology in a model of Alzheimer’s disease.Glia681017–1030. 10.1002/glia.23759
158
KaunznerU.MillerM.Gottfried-BlackmoreA.Gal-TothJ.FelgerJ.McEwenB.et al (2012). Accumulation of resident and peripheral dendritic cells in the aging CNS.Neurobiol. Aging33681–693.e1. 10.1016/j.neurobiolaging.2010.06.007
159
KealyJ.MurrayC.GriffinE.Lopez-RodriguezA.HealyD.TortorelliL.et al (2020). Acute inflammation alters brain energy metabolism in mice and humans: role in suppressed spontaneous activity, impaired cognition, and delirium.J. Neurosci.405681–5696. 10.1523/JNEUROSCI.2876-19.2020
160
KeaneL.AntignanoI.RiechersS.ZollingerR.DumasA.OffermannN.et al (2021). mTOR-dependent translation amplifies microglia priming in aging mice.J. Clin. Invest.131:e132727. 10.1172/JCI132727
161
KellarD.CraftS. (2020). Brain insulin resistance in Alzheimer’s disease and related disorders: mechanisms and therapeutic approaches.Lancet Neurol.19758–766. 10.1016/S1474-4422(20)30231-30233
162
KellerA.RohdeJ.RaymondK.HeitmannB. (2015). Association between periodontal disease and overweight and obesity: a systematic review.J. Periodontol.86766–776. 10.1902/jop.2015.140589
163
KhanS.BarringtonG.BettiolS.BarnettT.CrocombeL. (2018). Is overweight/obesity a risk factor for periodontitis in young adults and adolescents: a systematic review.Obes. Rev.19852–883. 10.1111/obr.12668
164
KhanS.LuckH.WinerS.WinerD. (2021). Emerging concepts in intestinal immune control of obesity-related metabolic disease.Nat. Commun.12:2598. 10.1038/s41467-021-22727-22727
165
KierdorfK.PrinzM. (2017). Microglia in steady state.J. Clin. Invest.1273201–3209. 10.1172/JCI90602
166
KimB.KelschenbachJ.BorjabadA.HadasE.HeH.PotashM.et al (2019). Intranasal insulin therapy reverses hippocampal dendritic injury and cognitive impairment in a model of HIV-associated neurocognitive disorders in EcoHIV-infected mice.AIDS33973–984. 10.1097/QAD.0000000000002150
167
KimJ.BaruaS.JeongY.LeeJ. (2020). Adiponectin: the potential regulator and therapeutic target of obesity and Alzheimer’s disease.Int. J. Mol. Sci.21:6419. 10.3390/ijms21176419
168
KivipeltoM.NganduT.LaatikainenT.WinbladB.SoininenH.TuomilehtoJ. (2006). Risk score for the prediction of dementia risk in 20 years among middle aged people: a longitudinal, population-based study.Lancet Neurol.5735–741. 10.1016/S1474-4422(06)70537-70533
169
KnappS. (2013). Diabetes and infection: is there a link?-A mini-review.Gerontology5999–104. 10.1159/000345107
170
KohG.PeacockS.van der PollT.WiersingaW. (2012). The impact of diabetes on the pathogenesis of sepsis.Eur. J. Clin. Microbiol. Infect. Dis.31379–388. 10.1007/s10096-011-1337-1334
171
KumarD.ChoiS.WashicoskyK.EimerW.TuckerS.GhofraniJ.et al (2016). Amyloid-β peptide protects against microbial infection in mouse and worm models of Alzheimer’s disease.Sci. Transl. Med.8:340ra72. 10.1126/scitranslmed.aaf1059
172
KumarM.RoeK.NerurkarP.OrilloB.ThompsonK.VermaS.et al (2014). Reduced immune cell infiltration and increased pro-inflammatory mediators in the brain of Type 2 diabetic mouse model infected with West Nile virus.J. Neuroinflamm.11:80. 10.1186/1742-2094-11-80
173
KumariR.KumarS.KantR. (2019). An update on metabolic syndrome: metabolic risk markers and adipokines in the development of metabolic syndrome.Diabetes Metab. Syndr.132409–2417. 10.1016/j.dsx.2019.06.005
174
KuoC.LuC.ChangY.LiC. (2018). Population-Based cohort study on dementia risk in patients with type 1 diabetes mellitus.Neuroepidemiology5057–62. 10.1159/000486719
175
La CavaA.MatareseG. (2004). The weight of leptin in immunity.Nat. Rev. Immunol.4371–379. 10.1038/nri1350
176
Labandeira-GarciaJ.Costa-BesadaM.LabandeiraC.Villar-ChedaB.Rodríguez-PerezA. (2017). Insulin-Like growth factor-1 and neuroinflammation.Front. Aging Neurosci.9:365. 10.3389/fnagi.2017.00365
177
LafranceV.InoueW.KanB.LuheshiG. (2010). Leptin modulates cell morphology and cytokine release in microglia.Brain Behav. Immun.24358–365. 10.1016/j.bbi.2009.11.003
178
LanaD.UgoliniF.GiovanniniM. (2020). Space-Dependent glia-neuron interplay in the hippocampus of transgenic models of β-amyloid deposition.Int. J. Mol. Sci.21:9441. 10.3390/ijms21249441
179
LanaD.UgoliniF.NosiD.WenkG.GiovanniniM. (2021). The emerging role of the interplay among astrocytes, microglia, and neurons in the hippocampus in health and disease.Front. Aging Neurosci.13:651973. 10.3389/fnagi.2021.651973
180
LandrithT.SureshchandraS.RiveraA.JangJ.RaisM.NairM.et al (2017). CD103+ CD8 T cells in the Toxoplasma-infected brain exhibit a tissue-resident memory transcriptional profile.Front. Immunol.8:335. 10.3389/fimmu.2017.00335
181
LarabeeC.NeelyO.DomingosA. (2020). Obesity: a neuroimmunometabolic perspective.Nat. Rev. Endocrinol.1630–43. 10.1038/s41574-019-0283-286
182
LazarV.DituL.PircalabioruG.GheorgheI.CurutiuC.HolbanA.et al (2018). Aspects of gut microbiota and immune system interactions in infectious diseases, immunopathology, and cancer.Front. Immunol.9:1830. 10.3389/fimmu.2018.01830
183
LeblhuberF.EhrlichD.SteinerK.GeislerS.FuchsD.LanserL.et al (2021). The immunopathogenesis of Alzheimer’s disease is related to the composition of gut microbiota.Nutrients13:361. 10.3390/nu13020361
184
LeeG.ProencaR.MontezJ.CarrollK.DarvishzadehJ.LeeJ.et al (1996). Abnormal splicing of the leptin receptor in diabetic mice.Nature378632–635. 10.1038/379632a0
185
LeonardJ. (2017). Central nervous system tuberculosis.Microbiol. Spectr.5:11. 10.1128/microbiolspec.TNMI7-0044-2017
186
LeshanR.LouisG.JoY.RhodesC.MünzbergH.MyersM. J. (2009). Direct innervation of GnRH neurons by metabolic- and sexual odorant-sensing leptin receptor neurons in the hypothalamic ventral premammillary nucleus.J. Neurosci.293138–3147. 10.1523/JNEUROSCI.0155-09.2009
187
Lester-CollN.RiveraE.SosciaS.DoironK.WandsJ.de la MonteS. (2006). Intracerebral streptozotocin model of type 3 diabetes: relevance to sporadic Alzheimer’s disease.J. Alzheimers Dis.913–33. 10.3233/jad-2006-9102
188
LeynsC.HoltzmanD. (2017). Glial contributions to neurodegeneration in tauopathies.Mol. Neurodegener.12:50. 10.1186/s13024-017-0192-x
189
LiQ.BarresB. (2018). Microglia and macrophages in brain homeostasis and disease.Nat. Rev. Immunol.18225–242. 10.1038/nri.2017.125
190
LiY.SeveranceE.ViscidiR.YolkenR.XiaoJ. (2019). Persistent toxoplasma infection of the brain induced neurodegeneration associated with activation of complement and microglia.Infect. Immun.87:e00139-19. 10.1128/IAI.00139-119
191
LibertucciJ.YoungV. (2019). The role of the microbiota in infectious diseases.Nat. Microbiol.435–45. 10.1038/s41564-018-0278-274
192
LiddelowS.GuttenplanK.ClarkeL.BennettF.BohlenC.SchirmerL.et al (2017). Neurotoxic reactive astrocytes are induced by activated microglia.Nature541481–487. 10.1038/nature21029
193
LinnerbauerM.WheelerM.QuintanaF. (2020). Astrocyte crosstalk in CNS inflammation.Neuron108608–622. 10.1016/j.neuron.2020.08.012
194
LordG.MatareseG.HowardJ.BakerR.BloomS.LechlerR. (1998). Leptin modulates the T-cell immune response and reverses starvation-induced immunosuppression.Nature394897–901. 10.1038/29795
195
LövheimH.OlssonJ.WeidungB.JohanssonA.ErikssonS.HallmansG.et al (2018). Interaction between cytomegalovirus and herpes simplex virus Type 1 associated with the risk of Alzheimer’s disease development.J. Alzheimers Dis.61939–945. 10.3233/JAD-161305
196
LueL.KuoY.BeachT.WalkerD. (2010). Microglia activation and anti-inflammatory regulation in Alzheimer’s disease.Mol. Neurobiol.41115–128. 10.1007/s12035-010-8106-8108
197
LutshumbaJ.NikolajczykB.BachstetterA. (2021). Dysregulation of systemic immunity in aging and dementia.Front. Cell Neurosci.15:652111. 10.3389/fncel.2021.652111
198
MadinierA.BertrandN.MossiatC.Prigent-TessierA.BeleyA.MarieC.et al (2009). Microglial involvement in neuroplastic changes following focal brain ischemia in rats.PLoS One4:e8101. 10.1371/journal.pone.0008101
199
MallatM.LimaF.GervaisA.ColinC.Moura NetoV. (2002). New insights into the role of thyroid hormone in the CNS: the microglial track.Mol. Psychiatry77–8. 10.1038/sj.mp.4000988
200
MamikM.AsahchopE.ChanW.ZhuY.BrantonW.McKenzieB.et al (2016). Insulin treatment prevents neuroinflammation and neuronal injury with restored neurobehavioral function in models of HIV/AIDS neurodegeneration.J. Neurosci.3610683–10695. 10.1523/JNEUROSCI.1287-16.2016
201
MancusoP.GottschalkA.PhareS.Peters-GoldenM.LukacsN.HuffnagleG. (2002). Leptin-deficient mice exhibit impaired host defense in Gram-negative pneumonia.J. Immunol.1684018–4024. 10.4049/jimmunol.168.8.4018
202
MartellaV.EliaG.BuonavogliaC. (2008). Canine distemper virus.Vet. Clin. North Am. Small Anim. Pr.38787–797. 10.1016/j.cvsm.2008.02.007
203
MartinD.TorranceB.HaynesL.BartleyJ. (2021). Targeting aging: lessons learned from immunometabolism and cellular senescence.Front. Immunol.12:714742. 10.3389/fimmu.2021.714742
204
Martinez-GutierrezM.Ruiz-SaenzJ. (2016). Diversity of susceptible hosts in canine distemper virus infection: a systematic review and data synthesis.BMC Vet. Res.12:78. 10.1186/s12917-016-0702-z
205
Martín-RomeroC.Sánchez-MargaletV. (2001). Human leptin activates PI3K and MAPK pathways in human peripheral blood mononuclear cells: possible role of Sam68.Cell Immunol.21283–91. 10.1006/cimm.2001.1851
206
MatareseG.La CavaA.SannaV.LordG.LechlerR.FontanaS.et al (2002). Balancing susceptibility to infection and autoimmunity: a role for leptin?Trends Immunol.23182–187. 10.1016/s1471-4906(02)02188-2189
207
MauryaR.BhattacharyaP.DeyR.NakhasiH. (2018). Leptin functions in infectious diseases.Front. Immunol.9:2741. 10.3389/fimmu.2018.02741
208
MazucantiC.LiuQ.LangD.HuangN.O’ConnellJ.CamandolaS.et al (2019). Release of insulin produced by the choroid plexus is regulated by serotonergic signaling.JCI Insight4:e131682. 10.1172/jci.insight.131682
209
MeiF.XieM.HuangX.LongY.LuX.WangX.et al (2020). Porphyromonas gingivalis and its systemic impact: current status.Pathogens9:944. 10.3390/pathogens9110944
210
MejidoD.PenyJ.VieiraM.FerreiraS.De FeliceF. (2020). Insulin and leptin as potential cognitive enhancers in metabolic disorders and Alzheimer’s disease.Neuropharmacology171:108115. 10.1016/j.neuropharm.2020.108115
211
MerinoB.Díez-FernándezC.Ruiz-GayoM.SomozaB. (2006). Choroid plexus epithelial cells co-express the long and short form of the leptin receptor.Neurosci. Lett.393269–272. 10.1016/j.neulet.2005.10.003
212
MichelsM.VieiraA.VuoloF.ZapeliniH.MendonçaB.MinaF.et al (2015). The role of microglia activation in the development of sepsis-induced long-term cognitive impairment.Brain Behav. Immun.4354–59. 10.1016/j.bbi.2014.07.002
213
MitchellC.BeggD. (2021). The regulation of food intake by insulin in the central nervous system.J. Neuroendocr.33:e12952. 10.1111/jne.12952
214
MockusT.Shwetank, LauverM.RenH.NetherbyC.SalamehT.et al (2018). CD4 T cells control development and maintenance of brain-resident CD8 T cells during polyomavirus infection.PLoS Pathog.14:e1007365. 10.1371/journal.ppat.1007365
215
MohantyP.HamoudaW.GargR.AljadaA.GhanimH.DandonaP. (2000). Glucose challenge stimulates reactive oxygen species (ROS) generation by leucocytes.J. Clin. Endocrinol. Metab.852970–2973. 10.1210/jcem.85.8.6854
216
MöhleL.IsraelN.PaarmannK.KrohnM.PietkiewiczS.MüllerA.et al (2016). Chronic Toxoplasma gondii infection enhances beta-amyloid phagocytosis and clearance by recruited monocytes.Acta Neuropathol. Commun.4:25. 10.1186/s40478-016-0293-298
217
MoirR.LatheR.TanziR. (2018). The antimicrobial protection hypothesis of Alzheimer’s disease.Alzheimers Dement.141602–1614. 10.1016/j.jalz.2018.06.3040
218
MontagneA.BarnesS.SweeneyM.HallidayM.SagareA.ZhaoZ.et al (2015). Blood-brain barrier breakdown in the aging human hippocampus.Neuron85296–302. 10.1016/j.neuron.2014.12.032
219
MonteiroL.PereiraJ.PalhinhaL.Moraes-VieiraP. (2019). Leptin in the regulation of the immunometabolism of adipose tissue-macrophages.J. Leukoc. Biol.106703–716. 10.1002/JLB.MR1218-478R
220
MorrisonC. (2009). Leptin signaling in brain: a link between nutrition and cognition?Biochim Biophys. Acta1792401–408. 10.1016/j.bbadis.2008.12.004
221
MullerL.GorterK.HakE.GoudzwaardW.SchellevisF.HoepelmanA.et al (2005). Increased risk of common infections in patients with type 1 and type 2 diabetes mellitus.Clin. Infect. Dis.41281–288. 10.1086/431587
222
MurrayK.GarciaM.RahbarM.MartinezD.KhuwajaS.ArafatR.et al (2014). Survival analysis, long-term outcomes, and percentage of recovery up to 8 years post-infection among the Houston West Nile virus cohort.PLoS One9:e102953. 10.1371/journal.pone.0102953
223
MyersM.CowleyM.MünzbergH. (2008). Mechanisms of leptin action and leptin resistance.Annu. Rev. Physiol.70537–556. 10.1146/annurev.physiol.70.113006.100707
224
MyhreC.ThygesenC.VilladsenB.VollerupJ.IlkjærL.KrohnK.et al (2019). Microglia express insulin-like growth factor-1 in the hippocampus of aged APP swe/PS1 ΔE9 transgenic mice.Front. Cell Neurosci.13:308. 10.3389/fncel.2019.00308
225
NagajyothiF.ZhaoD.MachadoF.WeissL.SchwartzG.DesruisseauxM.et al (2010). Crucial role of the central leptin receptor in murine Trypanosoma cruzi infection.J. Infect. Dis.2021104–1113. 10.1086/656189
226
NakaeJ.KidoY.AcciliD. (2001). Distinct and overlapping functions of insulin and IGF-I receptors.Endocr. Rev.22818–835. 10.1210/edrv.22.6.0452
227
NaranjoV.ContrerasA.MerinoB.PlazaA.LorenzoM.García-CáceresC.et al (2020). Specific deletion of the astrocyte leptin receptor induces changes in hippocampus glutamate metabolism, synaptic transmission and plasticity.Neuroscience447182–190. 10.1016/j.neuroscience.2019.10.005
228
NarayanO.HerzogS.FreseK.ScheefersH.RottR. (1983). Behavioral disease in rats caused by immunopathological responses to persistent borna virus in the brain.Science2201401–1403. 10.1126/science.6602380
229
NascimentoG.LeiteF.DoL.PeresK.CorreaM.DemarcoF.et al (2015). Is weight gain associated with the incidence of periodontitis? a systematic review and meta-analysis.J. Clin. Periodontol.42495–505. 10.1111/jcpe.12417
230
Nayeri ChegeniT.SarviS.MoosazadehM.SharifM.AghayanS.AmoueiA.et al (2019). Is Toxoplasma gondii a potential risk factor for Alzheimer’s disease? a systematic review and meta-analysis.Microb. Pathog.137:103751. 10.1016/j.micpath.2019.103751
231
NazarethL.WalkdenH.ChackoA.DelbazA.ShelperT.ArmitageC.et al (2021). Chlamydia muridarum can invade the central nervous system via the olfactory and trigeminal nerves and infect peripheral nerve glial cells.Front. Cell Infect. Microbiol.10:607779. 10.3389/fcimb.2020.607779
232
Netherby-WinslowC.AyersK.LukacherA. (2021). Balancing inflammation and central nervous system homeostasis: T cell receptor signaling in antiviral brain T(RM) formation and function.Front. Immunol.11:624144. 10.3389/fimmu.2020.624144
233
NevesF.MarquesP.Barros-AragãoF.NunesJ.VenancioA.CozachencoD.et al (2018). Brain-Defective insulin signaling is associated to late cognitive impairment in post-septic mice.Mol. Neurobiol.55435–444. 10.1007/s12035-016-0307-303
234
NinomiyaY.ShigemuraN.YasumatsuK.OhtaR.SugimotoK.NakashimaK.et al (2002). Leptin and sweet taste.Vitam Horm.64221–248. 10.1016/s0083-6729(02)64007-64005
235
Noriega-PrietoJ.MaglioL.Zegarra-ValdiviaJ.PignatelliJ.FernandezA.Martinez-RachadellL.et al (2021). Astrocytic IGF-IRs induce adenosine-mediated inhibitory downregulation and improve sensory discrimination.J. Neurosci.414768–4781. 10.1523/JNEUROSCI.0005-21.2021
236
ObradovicM.Sudar-MilovanovicE.SoskicS.EssackM.AryaS.StewartA.et al (2021). Leptin and obesity: role and clinical implication.Front. Endocrinol.12:585887. 10.3389/fendo.2021.585887
237
O’NeillC.KielyA.CoakleyM.ManningS.Long-SmithC. (2012). Insulin and IGF-1 signalling: longevity, protein homoeostasis and Alzheimer’s disease.Biochem. Soc. Trans.40721–727. 10.1042/BST20120080
238
O’NeillL.KishtonR.RathmellJ. (2016). A guide to immunometabolism for immunologists.Nat. Rev. Immunol.16553–565. 10.1038/nri.2016.70
239
OttA.StolkR.van HarskampF.PolsH.HofmanA.BretelerM. (1999). Diabetes mellitus and the risk of dementia: the rotterdam study.Neurology531937–1942. 10.1212/wnl.53.9.1937
240
PaikI.KotlerD. (2011). The prevalence and pathogenesis of diabetes mellitus in treated HIV-infection.Best Pr. Res. Clin. Endocrinol. Metab.25469–478. 10.1016/j.beem.2011.04.003
241
PanditR.BeerensS.AdanR. (2017). Role of leptin in energy expenditure: the hypothalamic perspective.Am. J. Physiol. Regul. Integr. Comp. Physiol.312R938–R947. 10.1152/ajpregu.00045.2016
242
PapathanassoglouE.El-HaschimiK.LiX.MatareseG.StromT.MantzorosC. (2006). Leptin receptor expression and signaling in lymphocytes: kinetics during lymphocyte activation, role in lymphocyte survival, and response to high fat diet in mice.J. Immunol.1767745–7752. 10.4049/jimmunol.176.12.7745
243
ParkhurstC.YangG.NinanI.SavasJ.YatesJ.IIILafailleJ.et al (2013). Microglia promote learning-dependent synapse formation through brain-derived neurotrophic factor.Cell1551596–1609. 10.1016/j.cell.2013.11.030
244
PasaricaM.DhurandharN. (2007). Infectobesity: obesity of infectious origin.Adv. Food Nutr. Res.5261–102. 10.1016/S1043-4526(06)52002-52009
245
PattersonE.RyanP.CryanJ.DinanT.RossR.FitzgeraldG.et al (2016). Gut microbiota, obesity and diabetes.Postgr. Med J.92286–300. 10.1136/postgradmedj-2015-133285
246
Paz-FilhoG.BabikianT.AsarnowR.DelibasiT.EspositoK.ErolH.et al (2008). Leptin replacement improves cognitive development.PLoS One3:e3098. 10.1371/journal.pone.0003098
247
PeilaR.RodriguezB.LaunerL.Honolulu-Asia Aging, and Study. (2002). Type 2 diabetes, APOE gene, and the risk for dementia and related pathologies: the honolulu-asia aging study.Diabetes Metab. Res. Rev.511256–1262. 10.2337/diabetes.51.4.1256
248
PembertonL.BrewB. (2001). Cerebrospinal fluid S-100beta and its relationship with AIDS dementia complex.J. Clin. Virol.22249–253. 10.1016/s1386-6532(01)00196-192
249
PinteauxE.InoueW.SchmidtL.Molina-HolgadoF.RothwellN.LuheshiG. (2007). Leptin induces interleukin-1beta release from rat microglial cells through a caspase 1 independent mechanism.J. Neurochem.102826–833. 10.1111/j.1471-4159.2007.04559.x
250
PooleS.SinghraoS.ChukkapalliS.RiveraM.VelskoI.KesavaluL.et al (2015). Active invasion of Porphyromonas gingivalis and infection-induced complement activation in ApoE-/- mice brains.J. Alzheimers Dis.4367–80. 10.3233/JAD-140315
251
PratapA.HolsingerR. (2020). Altered brain leptin and leptin receptor expression in the 5XFAD mouse model of Alzheimer’s disease.Pharm13:401. 10.3390/ph13110401
252
PrinzM.ErnyD.HagemeyerN. (2017). Ontogeny and homeostasis of CNS myeloid cells.Nat. Immunol.18385–392. 10.1038/ni.3703
253
ProcacciniC.JirilloE.MatareseG. (2012). Leptin as an immunomodulator.Mol. Asp. Med.3335–45. 10.1016/j.mam.2011.10.012
254
ProcacciniC.La RoccaC.CarboneF.De RosaV.GalganiM.MatareseG. (2017). Leptin as immune mediator: interaction between neuroendocrine and immune system.Dev. Comp. Immunol.66120–129. 10.1016/j.dci.2016.06.006
255
PróchnickiT.LatzE. (2017). Inflammasomes on the crossroads of innate immune recognition and metabolic control.Cell Metab.2671–93. 10.1016/j.cmet.2017.06.018
256
ProdingerC.BunseJ.KrügerM.SchiefenhövelF.BrandtC.LamanJ.et al (2011). CD11c-expressing cells reside in the juxtavascular parenchyma and extend processes into the glia limitans of the mouse nervous system.Acta Neuropathol.121445–458. 10.1007/s00401-010-0774-y
257
PugazhenthiS.QinL.ReddyP. H. (2017). Common neurodegenerative pathways in obesity, diabetes, and Alzheimer’s disease.Biochim Biophys. Acta Mol. Basis Dis.18631037–1045. 10.1016/j.bbadis.2016.04.017
258
Pulido-MendezM.De SanctisJ.Rodriguez-AcostaA. (2002). Leptin and leptin receptors during malaria infection in mice.Folia Parasitol.49249–251. 10.14411/fp.2002.046
259
RadiganK.Morales-NebredaL.SoberanesS.NicholsonT.NigdeliogluR.ChoT.et al (2014). Impaired clearance of influenza a virus in obese, leptin receptor deficient mice is independent of leptin signaling in the lung epithelium and macrophages.PLoS One9:e108138. 10.1371/journal.pone.0108138
260
RahmanM.HossainK.DasS.KunduS.AdegokeE.RahmanM.et al (2021). Role of insulin in health and disease: an update.Int. J. Mol. Sci.22:6403. 10.3390/ijms22126403
261
RansohoffR.BrownM. (2012). Innate immunity in the central nervous system.J. Clin. Invest.1221164–1171. 10.1172/JCI58644
262
RaoR.LiQ.OdunsiK.ShrikantP. (2010). The mTOR kinase determines effector versus memory CD8+ T cell fate by regulating the expression of transcription factors T-bet and Eomesodermin.Immunity3267–78. 10.1016/j.immuni.2009.10.010
263
RatterJ.van HeckJ.RooijackersH.JansenH.van PoppelP.TackC.et al (2021). Insulin acutely activates metabolism of primary human monocytes and promotes a proinflammatory phenotype.J. Leukoc Biol.10.1002/JLB.3AB0120-019RR Online ahead of print.
264
RayfieldE.AultM.KeuschG.BrothersM.NechemiasC.SmithH. (1982). Infection and diabetes: the case for glucose control.Am. J. Med.72439–450. 10.1016/0002-9343(82)90511-3
265
RebelloC.KirwanJ.GreenwayF. (2020). Obesity, the most common comorbidity in SARS-CoV-2: is leptin the link?Int. J. Obes (Lond)441810–1817. 10.1038/s41366-020-0640-645
266
RichardsonA.LiuF.AdamoM.Van RemmenH.NelsonJ. (2004). The role of insulin and insulin-like growth factor-I in mammalian ageing.Best Pr. Res. Clin. Endocrinol. Metab.18393–406. 10.1016/j.beem.2004.02.002
267
RodriguezJ.DelzenneN. (2021). Modulation of the gut microbiota-adipose tissue-muscle interactions by prebiotics.J. Endocrinol.249R1–R23. 10.1530/JOE-20-0499
268
RomanenkoM.KholinV.KoliadaA.VaisermanA. (2021). Nutrition, gut microbiota, and Alzheimer’s disease.Front. Psychiatry12:712673. 10.3389/fpsyt.2021.712673
269
Romaní-PérezM.Bullich-VilarrubiasC.López-AlmelaI.Liébana-GarcíaR.OlivaresM.SanzY. (2021). The microbiota and the gut-brain axis in controlling food intake and energy homeostasis.Int. J. Mol. Sci.22:5830. 10.3390/ijms22115830
270
RoskoL.SmithV.YamazakiR.HuangJ. (2019). Oligodendrocyte bioenergetics in health and disease.Neuroscientist25334–343. 10.1177/1073858418793077
271
RummelC.InoueW.PooleS.LuheshiG. (2010). Leptin regulates leukocyte recruitment into the brain following systemic LPS-induced inflammation.Mol. Psychiatry15523–534. 10.1038/mp.2009.98
272
SalehiZ.MashayekhiF.NajiM.PandamoozS. (2009). Insulin-like growth factor-1 and insulin-like growth factor binding proteins in cerebrospinal fluid during the development of mouse embryos.J. Clin. Neurosci.16950–953. 10.1016/j.jocn.2008.09.018
273
SalemD.SalemN.HendawyS. (2021). Association between Toxoplasma gondii infection and metabolic syndrome in obese adolescents: a possible immune-metabolic link.Parasitol. Int.83:102343. 10.1016/j.parint.2021.102343
274
Sánchez-MargaletV.Martín-RomeroC.Santos-AlvarezJ.GobernaR.NajibS.Gonzalez-YanesC. (2003). Role of leptin as an immunomodulator of blood mononuclear cells: mechanisms of action.Clin. Exp. Immunol.13311–19. 10.1046/j.1365-2249.2003.02190.x
275
Sánchez-PozoC.Rodriguez-bañoJ.Domínguez-CastellanoA.MuniainM.GobernaR.Sánchez-MargaletV. (2003). Leptin stimulates the oxidative burst in control monocytes but attenuates the oxidative burst in monocytes from HIV-infected patients.Clin. Exp. Immunol.134464–469. 10.1111/j.1365-2249.2003.02321.x
276
SankarS.Infante-GarciaC.WeinstockL.Ramos-RodriguezJ.Hierro-BujalanceC.Fernandez-PonceC.et al (2020). Amyloid beta and diabetic pathology cooperatively stimulate cytokine expression in an Alzheimer’s mouse model.J. Neuroinflamm.17:38. 10.1186/s12974-020-1707-x
277
SchaferD.LehrmanE.KautzmanA.KoyamaR.MardinlyA.YamasakiR.et al (2012). Microglia sculpt postnatal neural circuits in an activity and complement-dependent manner.Neuron74691–705. 10.1016/j.neuron.2012.03.026
278
SchererT.SakamotoK.BuettnerC. (2021). Brain insulin signalling in metabolic homeostasis and disease.Nat. Rev. Endocrinol.17468–483. 10.1038/s41574-021-00498-x
279
SchertzerJ.LamT. (2021). Peripheral and central regulation of insulin by the intestine and microbiome.Am. J. Physiol. Endocrinol. Metab.320E234–E239. 10.1152/ajpendo.00547.2020
280
SchwemmleM. (2001). Borna disease virus infection in psychiatric patients: are we on the right track?Lancet Infect. Dis.146–52. 10.1016/S1473-3099(01)00021-24
281
ScottM.LacheyJ.SternsonS.LeeC.EliasC.FriedmanJ.et al (2009). Leptin targets in the mouse brain.J. Comp. Neurol.514518–532. 10.1002/cne.22025
282
SeidelG.GaserC.GötzT.GüntherA.HamzeiF. (2020). Accelerated brain ageing in sepsis survivors with cognitive long-term impairment.Eur. J. Neurosci.524395–4402. 10.1111/ejn.14850
283
ShahB.HuxJ. (2003). Quantifying the risk of infectious diseases for people with diabetes.Diabetes Care26510–513. 10.2337/diacare.26.2.510
284
ShaughnessM.AcsD.BrabazonF.HockenburyN.ByrnesK. (2020). Role of insulin in neurotrauma and neurodegeneration: a review.Front. Neurosci.14:547175. 10.3389/fnins.2020.547175
285
ShinjyoN.KagayaW.PeknaM. (2021). Interaction between the complement system and infectious agents - a potential mechanistic link to neurodegeneration and dementia.Front. Cell Neurosci.15:710390. 10.3389/fncel.2021.710390
286
ShinjyoN.ParkinsonJ.BellJ.KatsunoT.BlighA. (2020). Berberine for prevention of dementia associated with diabetes and its comorbidities: a systematic review.J. Int. Med.18125–151. 10.1016/j.joim.2020.01.004
287
ShippyD.UllandT. (2020). Microglial immunometabolism in Alzheimer’s disease.Front. Cell Neurosci.14:56446. 10.3389/fncel.2020.563446
288
SmolinaK.WottonC.GoldacreM. (2015). Risk of dementia in patients hospitalised with type 1 and type 2 diabetes in England, 1998-2011: a retrospective national record linkage cohort study.Diabetologia58942–950. 10.1007/s00125-015-3515-x
289
SochockaM.ZwolińskaK.LeszekJ. (2017). The infectious etiology of Alzheimer’s disease.Curr. Neuropharmacol.15996–1009. 10.2174/1570159X15666170313122937
290
SofroniewM. (2020). Astrocyte reactivity: subtypes, states, and functions in CNS innate immunity.Trends Immunol.41758–770. 10.1016/j.it.2020.07.004
291
SolomonT. (2021). Neurological infection with SARS-CoV-2 - the story so far.Nat. Rev. Neurol.1765–66. 10.1038/s41582-020-00453-w
292
SonnevilleR.DereseI.MarquesM.LangoucheL.DerdeS.ChatreL.et al (2015). Neuropathological correlates of hyperglycemia during prolonged polymicrobial sepsis in mice.Shock44245–251. 10.1097/SHK.0000000000000403
293
SonnewaldU.WangA.SchousboeA.EriksonR.SkottnerA. (1996). New aspects of lactate metabolism: IGF-I and insulin regulate mitochondrial function in cultured brain cells during normoxia and hypoxia.Dev. Neurosci.18443–448. 10.1159/000111439
294
SosciaS.KirbyJ.WashicoskyK.TuckerS.IngelssonM.HymanB.et al (2010). The Alzheimer’s disease-associated amyloid beta-protein is an antimicrobial peptide.PLoS One5:e9505. 10.1371/journal.pone.0009505
295
SotoM.CaiW.KonishiM.KahnC. (2019). Insulin signaling in the hippocampus and amygdala regulates metabolism and neurobehavior.Proc. Natl. Acad. Sci. U S A.1166379–6384. 10.1073/pnas.1817391116
296
SoungA.KleinR. (2018). Viral encephalitis and neurologic diseases: focus on astrocytes.Trends Mol. Med.24950–962. 10.1016/j.molmed.2018.09.001
297
Souza-AlmeidaG.D’AvilaH.AlmeidaP.Luna-GomesT.LiechockiS.WalzogB.et al (2018). Leptin mediates in vivo neutrophil migration: involvement of tumor necrosis factor-alpha and CXCL1.Front. Immunol.9:111. 10.3389/fimmu.2018.00111
298
SpadaroO.CamellC.BosurgiL.NguyenK.YoumY.RothlinC.et al (2017). IGF1 shapes macrophage activation in response to immunometabolic challenge.Cell Rep.19225–234. 10.1016/j.celrep.2017.03.046
299
SpielmanL.BahniwalM.LittleJ.WalkerD.KlegerisA. (2015). Insulin modulates in vitro secretion of cytokines and cytotoxins by human glial cells.Curr. Alzheimer Res.12684–693. 10.2174/1567205012666150710104428
300
StephensonJ.NutmaE.van der ValkP.AmorS. (2018). Inflammation in CNS neurodegenerative diseases.Immunology154204–219. 10.1111/imm.12922
301
StewartC.RotweinP. (1996). Growth, differentiation, and survival: multiple physiological functions for insulin-like growth factors.Physiol. Rev.761005–1026. 10.1152/physrev.1996.76.4.1005
302
SukhanovS.HigashiY.ShaiS.VaughnC.MohlerJ.LiY.et al (2007). IGF-1 reduces inflammatory responses, suppresses oxidative stress, and decreases atherosclerosis progression in ApoE-deficient mice.Arter. Thromb Vasc. Biol.272684–2690. 10.1161/ATVBAHA.107.156257
303
SunQ.LiJ.GaoF. (2014). New insights into insulin: the anti-inflammatory effect and its clinical relevance.World J. Diabetes589–96. 10.4239/wjd.v5.i2.89
304
SuvanJ.D’AiutoF.MolesD.PetrieA.DonosN. (2011). Association between overweight/obesity and periodontitis in adults. a systematic review.Obes Rev.12e381–e404. 10.1111/j.1467-789X.2010.00808.x
305
TaiebO.BaleyteJ.MazetP.FilletA. (2001). Borna disease virus and psychiatry.Eur. Psychiatry163–10. 10.1016/s0924-9338(00)00529-520
306
TakanoK.KoarashiK.KawabeK.ItakuraM.NakajimaH.MoriyamaM.et al (2018). Insulin expression in cultured astrocytes and the decrease by amyloid beta.Neurochem. Int.119171–177. 10.1016/j.neuint.2017.10.017
307
TalbotK.WangH. (2014). The nature, significance, and glucagon-like peptide-1 analog treatment of brain insulin resistance in Alzheimer’s disease.Alzheimers Dement.10S12–S25. 10.1016/j.jalz.2013.12.007
308
TamaraA.TahaparyD. (2020). Obesity as a predictor for a poor prognosis of COVID-19: a systematic review.Diab. Metab. Syndr.14655–659. 10.1016/j.dsx.2020.05.020
309
TangC.LuD.YangR.TsaiH.KaoM.FuW.et al (2007). Leptin-induced IL-6 production is mediated by leptin receptor, insulin receptor substrate-1, phosphatidylinositol 3-kinase, Akt, NF-kappaB, and p300 pathway in microglia.J. Immunol.1791292–1302. 10.4049/jimmunol.179.2.1292
310
TianZ.SunR.WeiH.GaoB. (2002). Impaired natural killer (NK) cell activity in leptin receptor deficient mice: leptin as a critical regulator in NK cell development and activation.Biochem. Biophys. Res. Commun.298297–302. 10.1016/s0006-291x(02)02462-2462
311
TiedemannL.SchmidS.HettelJ.GiesenK.FranckeP.BüchelC.et al (2017). Central insulin modulates food valuation via mesolimbic pathways.Nat. Commun.8:16052. 10.1038/ncomms16052
312
TienL.LeeY.PangY.LuS.LeeJ.TsengC.et al (2017). Neuroprotective effects of intranasal IGF-1 against neonatal lipopolysaccharide-induced neurobehavioral deficits and neuronal inflammation in the substantia nigra and locus coeruleus of juvenile rats.Dev. Neurosci.39443–459. 10.1159/000477898
313
TsaiS.Clemente-CasaresX.ZhouA.LeiH.AhnJ.ChanY.et al (2018). Insulin receptor-mediated stimulation boosts T cell immunity during inflammation and infection.Cell Metab.28922–934. 10.1016/j.cmet.2018.08.003
314
TschöpJ.NogueirasR.Haas-LockieS.KastenK.CastañedaT.HuberN. (2010). CNS leptin action modulates immune response and survival in sepsis.J. Neurosci.306036–6047. 10.1523/JNEUROSCI.4875-09.2010
315
TurnbaughP.LeyR.MahowaldM.MagriniV.MardisE.GordonJ. (2006). An obesity-associated gut microbiome with increased capacity for energy harvest.Nature4441027–1031. 10.1038/nature05414
316
UysalK.WiesbrockS.MarinoM.HotamisligilG. (1997). Protection from obesity-induced insulin resistance in mice lacking TNF-alpha function.Nature389610–614. 10.1038/39335
317
ValcourV.SacktorN.PaulR.WattersM.SelnesO.ShiramizuB.et al (2006). Insulin resistance is associated with cognition among HIV-1-infected patients: the Hawaii Aging With HIV cohort.J. Acquir. Immune Defic. Syndr.43405–410. 10.1097/01.qai.0000243119.67529.f5
318
ValcourV.ShikumaC.ShiramizuB.WilliamsA.WattersM.PoffP.et al (2005). Diabetes, insulin resistance, and dementia among HIV-1-infected patients.J. Acquir. Immune Defic. Syndr.3831–36. 10.1097/00126334-200501010-200501016
319
ValdebenitoS.CastellanoP.AjasinD.EugeninE. (2021). Astrocytes are HIV reservoirs in the brain: a cell type with poor HIV infectivity and replication but efficient cell-to-cell viral transfer.J. Neurochem.158429–443. 10.1111/jnc.15336
320
Van den BosscheJ.O’NeillL.MenonD. (2017). Macrophage immunometabolism: where are we (going)?Trends Immunol.38395–406. 10.1016/j.it.2017.03.001
321
van GinnekenV.SitnyakowskyL.JefferyJ. (2009). ”Infectobesity: viral infections (especially with human adenovirus-36: Ad-36) may be a cause of obesity.Med. Hypotheses72383–388. 10.1016/j.mehy.2008.11.034
322
van NiekerkG.ChristowitzC.ConradieD.EngelbrechtA. (2020). Insulin as an immunomodulatory hormone.Cytokine Growth. Factor. Rev.5234–44. 10.1016/j.cytogfr.2019.11.006
323
van SonJ.KoekkoekL.La FleurS.SerlieM.NieuwdorpM. (2021). The role of the gut microbiota in the gut-brain axis in obesity: mechanisms and future implications.Int. J. Mol. Sci.22:2993. 10.3390/ijms2206299
324
VangipuramS.YuM.TianJ.StanhopeK.PasaricaM.HavelP.et al (2007). Adipogenic human adenovirus-36 reduces leptin expression and secretion and increases glucose uptake by fat cells.Int. J. Obes (Lond)3187–96. 10.1038/sj.ijo.0803366
325
VedantamaG.ViswanathanV. (2012). Leptin signaling protects the gut from Entamoeba histolytica infection.Gut Microbes32–3. 10.4161/gmic.19424
326
ViardotA.GreyS.MackayF.ChisholmD. (2007). Potential antiinflammatory role of insulin via the preferential polarization of effector T cells toward a T helper 2 phenotype.Endocrinology148346–353. 10.1210/en.2006-2686
327
VirtoL.CanoP.Jiménez-OrtegaV.Fernández-MateosP.GonzálezJ.EsquifinoA.et al (2018). Obesity and periodontitis: an experimental study to evaluate periodontal and systemic effects of comorbidity.J. Periodontol.89176–185. 10.1902/jop.2017.170355
328
VittorA.LongM.ChakrabartyP.AycockL.KolluV.DeKoskyS. (2020). West nile virus-induced neurologic sequelae—relationship to neurodegenerative cascades and dementias.Curr. Trop. Med. Rep.725–36. 10.1007/s40475-020-00200-207
329
WakimL.Woodward-DavisA.LiuR.HuY.VilladangosJ.SmythG.et al (2012). The molecular signature of tissue resident memory CD8 T cells isolated from the brain.J. Immunol.1893462–3471. 10.4049/jimmunol.1201305
330
WangY.LiY.ZhaoR.WuB.LanohaB.TongZ.et al (2017). Glutaminase C overexpression in the brain induces learning deficits, synaptic dysfunctions, and neuroinflammation in mice.Brain Behav. Immun.66135–145. 10.1016/j.bbi.2017.06.007
331
WasimM.AwanF.NajamS.KhanA.KhanH. (2016). Role of leptin deficiency, inefficiency, and leptin receptors in obesity.Biochem. Genet.54565–572. 10.1007/s10528-016-9751-z
332
WeilhammerD.IavaroneA.VillegasE.BrooksG.SinaiA.ShaW. (2012). Host metabolism regulates growth and differentiation of Toxoplasma gondii.Int. J. Parasitol.42947–959. 10.1016/j.ijpara.2012.07.011
333
WhiteM. (2003). Insulin signaling in health and disease.Science3021710–1711. 10.1126/science.1092952
334
WhitmerR.GundersonE.Barrett-ConnorE.QuesenberryC. J.YaffeK. (2005). Obesity in middle age and future risk of dementia: a 27 year longitudinal population based study.BMJ330:1360. 10.1136/bmj.38446.466238.E0
335
WhitmerR.GundersonE.Barrett-ConnorE.QuesenberryC. J.YaffeK. (2018). Obesity trajectories and risk of dementia: 28 years of follow-up in the Whitehall II Study.Alzheimers Dement.14178–186. 10.1016/j.jalz.2017.06.2637
336
WhitmerR.GustafsonD.Barrett-ConnorE.HaanM.GundersonE.YaffeK. (2008). Central obesity and increased risk of dementia more than three decades later.Neurology711057–1064. 10.1212/01.wnl.0000306313.89165.ef
337
WidmannC.HenekaM. (2014). Long-term cerebral consequences of sepsis.Lancet Neurol.13630–636. 10.1016/S1474-4422(14)70017-70011
338
WielandC.FlorquinS.ChanE.LeemansJ.WeijerS.VerbonA.et al (2005). Pulmonary Mycobacterium tuberculosis infection in leptin-deficient ob/ob mice.Int. Immunol.171399–1408. 10.1093/intimm/dxh317
339
WilkingA.ElliottE.GarciaM.MurrayK.MunozF. (2014). Central nervous system manifestations in pediatric patients with influenza A H1N1 infection during the 2009 pandemic.Pediatr. Neurol.51370–376. 10.1016/j.pediatrneurol.2014.04.026
340
WlodarczykA.HoltmanI.KruegerM.YogevN.BruttgerJ.KhorooshiR.et al (2017). A novel microglial subset plays a key role in myelinogenesis in developing brain.EMBO J.363292–3308. 10.15252/embj.201696056
341
WoodsS.IudicelloJ.DawsonM.WeberE.GrantI.LetendreS. (2010). HIV-associated deficits in action (verb) generation may reflect astrocytosis.J. Clin. Exp. Neuropsychol.32522–527. 10.1080/13803390903264130
342
YanoH.KinoshitaM.FujinoK.NakashimaM.YamamotoY.MiyazakiH.et al (2012). Insulin treatment directly restores neutrophil phagocytosis and bactericidal activity in diabetic mice and thereby improves surgical site Staphylococcus aureus infection.Infect. Immun.804409–4416. 10.1128/IAI.00787-712
343
YauB.HuntN.MitchellA.TooL. (2018). Blood-Brain barrier pathology and CNS outcomes in Streptococcus pneumoniae meningitis.Int. J. Mol. Sci.19:3555. 10.3390/ijms19113555
344
Yki-JärvinenH.SammalkorpiK.KoivistoV.NikkiläE. (1989). Severity, duration, and mechanisms of insulin resistance during acute infections.J. Clin. Endocrinol. Metab.69317–323. 10.1210/jcem-69-2-317
345
ZawadaA.RychterA.RatajczakA.Lisiecka-MasianA.DobrowolskaA.Krela-KaźmierczakI. (2020). Does gut-microbiome interaction protect against obesity and obesity-associated metabolic disorders?Microorganisms9:18. 10.3390/microorganisms9010018
346
ZemvaJ.SchubertM. (2011). Central insulin and insulin-like growth factor-1 signaling: implications for diabetes associated dementia.Curr. Diab. Rev.7356–366. 10.2174/157339911797415594
347
ZhangA.ToK.LiC.LauC.PoonV.ChanC.et al (2013). Leptin mediates the pathogenesis of severe 2009 pandemic influenza a (h1n1) infection associated with cytokine dysregulation in mice with diet-induced obesity.J. Infect. Dis.2071270–1280. 10.1093/infdis/jit031
348
ZieglerA.LevisonS.WoodT. (2015). Insulin and IGF receptor signalling in neural-stem-cell homeostasis.Nat. Rev. Endocrinol.11161–170. 10.1038/nrendo.2014.208
349
ZieglerA.SchneiderJ.QinM.TylerW.PintarJ.FraidenraichD.et al (2012). IGF-II promotes stemness of neural restricted precursors.Stem Cells301265–1276. 10.1002/stem.1095
Summary
Keywords
infection, immunometabolism, glia, neuroinflammation, dementia, leptin, insulin
Citation
Shinjyo N and Kita K (2021) Infection and Immunometabolism in the Central Nervous System: A Possible Mechanistic Link Between Metabolic Imbalance and Dementia. Front. Cell. Neurosci. 15:765217. doi: 10.3389/fncel.2021.765217
Received
26 August 2021
Accepted
12 October 2021
Published
02 November 2021
Volume
15 - 2021
Edited by
Agnes Lumi Nishimura, Queen Mary University of London, United Kingdom
Reviewed by
Vijay Kumar, The University of Tennessee Health Science Center (UTHSC), United States; Alberto Camacho-Morales, Autonomous University of Nuevo León, Mexico
Updates
Copyright
© 2021 Shinjyo and Kita.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Noriko Shinjyo, nshinjyo@ifrec.osaka-u.ac.jp
This article was submitted to Cellular Neuropathology, a section of the journal Frontiers in Cellular Neuroscience
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.