Abstract
Neurogranin (Ng) is a small protein usually expressed in granule-like structures in pyramidal cells of the hippocampus and cortex. However, its clinical value is not fully clear so far. Currently, Ng is proved to be involved in synaptic plasticity, synaptic regeneration, and long-term potentiation mediated by the calcium- and calmodulin-signaling pathways. Due to both the synaptic integrity and function as the growing concerns in the pathogenesis of a wide variety of neurological and mental diseases, a series of researches published focused on the associations between Ng and these kinds of diseases in the past decade. Therefore, in this review, we highlight several diseases, which include, but are not limited to, Alzheimer’s disease, Parkinson disease, Creutzfeldt–Jakob disease, neuro-HIV, neurosyphilis, schizophrenia, depression, traumatic brain injury, and acute ischemic stroke, and summarize the associations between cerebrospinal fluid or blood-derived Ng with these diseases. We propose that Ng is a potential and promising biomarker to improve the diagnosis, prognosis, and severity evaluation of these diseases in the future.
Introduction
Neurogranin (Ng, also called RC3, p17, and BICKS) is a protein with a molecular weight of 7.5 kD and composed of 78 amino acids (Watson et al., 1990). It is often found in granule-like structures in pyramidal cells of the hippocampus and cortex, which gives rise to its name of “neurogranin” (Represa et al., 1990). Ng was discovered in 1990; however, its clinical value is not fully clear so far.
The mammalian Ng gene NRGN spans around 12.5 kbp and contains four exons and three introns (Martinez de Arrieta et al., 1997). The human Ng sequence predicts five amino acids encoded by exon 1 and 73 amino acids encoded by exon 2 (Martinez de Arrieta et al., 1997). However, the other two exons contain untranslated sequences (Martinez de Arrieta et al., 1997). The coding sequence homology of NRGN between humans and rats is 90% at the nucleic acid level and 96% at the protein level (Martinez de Arrieta et al., 1997). In early studies, Ng was found principally as a neuronal postsynaptic protein in the telencephalon of the adult rat, specifically located in the cell bodies and dendrites of neurons in the cerebral cortex, hippocampus, and striatum (Represa et al., 1990) (Figure 1). Thereafter, Ng was detected successively in the lung, spleen, and bone marrow with a low expression level (). Moreover, high and moderate levels of Ng were found in platelets and B type lymphocytes, respectively (Glynne et al., 2000; Gnatenko et al., 2003). A recent study first identified Ng expression in both human and mouse endothelia ().
FIGURE 1
The present data strongly point that Ng is involved in the plasticity and regeneration of synapse mediated by the calcium- and calmodulin-signaling pathways. For instance, Zhong et al. (2009) found that Ng enhances the postsynaptic sensitivity an elevates the synaptic strength in an activity- and NMDAR- dependent manner (Zhong et al., 2009). Besides, the potentiation of synaptic transmission modulated by Ng mimics and occludes the long-term potentiation (Zhong et al., 2009). A recent study revealed that long-term blockade of NMDAR significantly decreases Ng expression (Garrido-Garcia et al., 2019). Moreover, the long-term bicuculline administration facilitates synaptic activity and increases Ng expression (Garrido-Garcia et al., 2019). Lentiviral expression of Ng results in the elevated density of both excitatory and inhibitory synapses (Garrido-Garcia et al., 2019). In addition, Ng is involved in a variety of biochemical processes and molecular interactions (Figure 2).
FIGURE 2
Of note, synaptic integrity and function are both the growing concerns in the pathogenesis of a wide variety of neurological and mental diseases (; Hellwig et al., 2015; Yang et al., 2015; Zetterberg and Blennow, 2015; ; ; Guha et al., 2018; ). In animal experiments, it showed that mice lacking NRGN show a remarkable decline in hippocampus-dependent spatial memory and deficits in hippocampal long-term potentiation (Pak et al., 2000). Aging is associated with the cognitive decline as well as the decreased Ng levels in pyramidal neurons (Mons et al., 2001). Ng reduction and cognitive deficit detected in 5XFAD mice are restored after the intra-hippocampal injection with an Ng-expressing lentiviral vector (Jeon et al., 2018). On the basis of these basic studies, a series of researches published in the past decade focused on the associations between Ng and these kinds of diseases, which include, but are not limited to, AD, PD, CJD, HIV, infection (neuro-HIV), NS, TBI, AIS, and schizophrenia.
Therefore, in this review, we highlight and summarize several neurological and mental diseases associated with Ng and propose that Ng is a potential and promising biomarker to improve the diagnosis, prognosis, and severity evaluation of these diseases in the future.
Associations Between Neurogranin and Neurological and Mental Diseases
Using the keywords, including “neurogranin,” “Ng,” “RC3,” and “BICKS,” we searched the clinical research articles involved in Ng via PUBMED and categorized them as per the kind of disease. An overview of the major clinical researches involved in Ng was currently published (Table 1).
TABLE 1
| Participants | Measures | Outcomes | Correlations | Study design | References | |
| AD | ADD (n = 39) MCI-AD (n = 13) MCI-o (n = 29) Non-ADD (n = 14) | CSF Ng | MCI-AD ↑ vs. MCI-o ADD ↑ vs. MCI-o | Positively correlated with CSF tau and p-tau. | Case–control study | Hellwig et al., 2015; Kvartsberg et al., 2015b |
| AD (n = 65) MCI (n = 61) CTRL (n = 37) | CSF Ng | Baseline CSF levels of Ng: AD ↑ vs. CTRL MCI-AD ↑ vs. sMCI Predicting progression from MCI to AD | Positively correlated with CSF T-tau and P-181 tau, but not with Aβ42. | Longitudinal study | Kester et al., 2015; Zetterberg and Blennow, 2015 | |
| ADD (n = 95) MCI (n = 173) CTRL (n = 110) | CSF Ng | ADD ↑ vs. CTRL MCI ↑ vs. CTRL sMCI ↑ vs. CTRL pMCI ↑ vs. CTRL pMCI ↑ vs. sMCI | High baseline CSF Ng predicting cognitive decline as reflected by decreased MMSE. | Case–control study | Portelius et al., 2015 | |
| ADD (n = 397) MCI (n = 114) FTD (n = 96) PDD (n = 29) DLB (n = 33) CTRL (n = 75) | CSF Ng and autopsy for the neuropathology | ADD ↑ vs. CTRL ADD ↑ vs. MCI AD biomarker-positive CTRL subjects ↑ vs. AD biomarker negative CTRL group ADD vs. PD ↓/PD MCI ↓/PDD ↓ ADD ↑ vs. FTD/ALS | Positively associated with: Aβ neuritic plaque and tau tangle pathology scores. | Prospective study | Portelius et al., 2018 | |
| ADD (n = 100) MCI (n = 40) CTRL (n = 80) | CSF Ng | Both AD and MCI-AD: markedly decrease; The highest level in ADD; High CSF Ng levels at the MCI stage; Predicting progression to ADD. | Positively correlated with t-tau and p-tau, but no correlations with Aβ 1-42. | Case–control study | Kvartsberg et al., 2015a | |
| AD (n = 95) CTRL (n = 207) | CSF Ng | The mean (SE) AUC was 0.73 (0.04) for Ng to differentiate patients with early symptomatic AD from CTRL; Predicting future cognitive impairment (adjusted hazard ratio, 1.89). | CSF Ng level correlates with a whole brain and regional atrophy in AD, and the amyloid load in preclinical AD. | Cross-sectional and longitudinal observational study | Tarawneh et al., 2016 | |
| AD (n = 10) MCI (n = 20) MCI-AD (n = 20) CTRL (n = 10) | Plasma NDEs levels of: PT-181-tau PS-396-tau Aβ 1-42 Ng | AD/MCI vs. CTRL: Plasma NDE levels of PT-181-tau PS-396-tau, and Abeta 1-42 ↑ Plasma NDE levels of Ng ↓ | N/A | Case–control study | Winston et al., 2016 | |
| Discovery stage: AD (n = 28) aMCI (n = 25) CTRL (n = 29) Validation stage: AD (n = 73) aMCI (n = 71) CTRL (n = 72) pre-AD (n = 160) CTRL (n = 160) | Blood nero-exosomal: GAP43 Ng SNAP25 Synaptotagmin 1 | Discovery stage: AD ↓ vs. CTRL aMCI ↓ vs. CTRL aMCI ↑ vs. AD Validation stage: same with discovery stage The combination of exosomal biomarkers detected AD 5 to 7 years before cognitive impairment (AUC = 0.87–0.89) | Exosomal biomarker levels were correlated with those in CSF (R2 = 0.54–0.70). | Longitudinal and retrospectively study | ; Jia et al., 2020 | |
| MCI or ADD (in total n = 59) CTRL (n = 29) | Paired CSF/plasma samples | CSF: MCI ↑ vs. CTRL AD ↑ vs. CTRL plasma: AD vs. CTRL: no change | Positively correlated with CSF tau; Negatively correlated with CSFAβ 1-42/Aβ 1-40; No correlation between CSF and plasma Ng. | Case–control study | ; Kvartsberg et al., 2015a | |
| PD | PD (n = 52) PD Drug naïve (n = 30) CTRL (n = 87) | CSF Ng: Motor disease stage (Hoehn and Yahr scale) Cognitive performance (MoCA). | PD ↑ vs. CTRL | Associated with reduced cognition and higher motor disease stage. | Case–control study | |
| PD (n = 30) CTRL (n = 26) | CSF Aβ; a-synuclein; Ng; Cortical glucose metabolism. | PD ↓ vs. CTRL | Lower CSF Ng concentrations were found with more severe reductions on FDG-PET. | Longitudinal study | Selnes et al., 2017 | |
| CTRL (n = 47) PD (n = 157) PDD (n = 29) AD (n = 124) MSA (n = 26) | CSF Ng | PD ↓/PDD ↓/ MSA ↓ /PSP ↓ vs. CTRL PD ↓/PDD ↓/ MSA ↓ /PSP ↓ vs. AD | No significant associations between Ng and clinical progression. | Case–control study | Hall et al., 2020 | |
| HD | CTRL (n = 12) HD gene expansion carriers (n = 20) | CSF Ng | HD vs. CTRL: No change | N/A | Case–control study | |
| CJD | AD (n = 46) CJD (n = 81) CTRL (n = 64) | CSF Ng T-tau NfL 14-3-3 protein postmortem brain tissue | CSF: CJD ↑ (4.75 times of CTRL) vs. CTRL AD ↑ (1.94 times of CTRL) vs. CTRL Differentiating CJD from AD (AUC = 0.85) Brain tissue: Ng reduced in AD, and more significantly in CJD | Showed a good correlation with tau, but did not correlate with NfL. | Case–control study | |
| CJD (n = 38) Pre-AD (n = 21) MCI-AD (n = 56) ADD (n = 108) FTD (n = 34) CTR (n = 50) | CSF Ng | FTD ↓<CTRL < ADD ↑ <CJD ↑ Applying the AT(N) system, 62% of subjects were positive for neurodegeneration if Ng was used. | N/A | Unicentric cohort study | ; Jia et al., 2020 | |
| Neuro-HIV | HIV-1-positive (n = 8) HIV-1-negative (n = 4) | The expression of Ng in FC tissues | HIV-1-positive ↓ vs. HIV-1-negative | Associated with a decreased level of CaMKII | Case-control study | Guha et al., 2018 |
| HIV-infected (n = 138) CTRL (n = 13) | CSF Ng | HIV-infected individuals vs. CTRL: No change | N/A | Cross-sectional study | Sinharay and Hammoud, 2019; Yilmaz et al., 2019 | |
| Neurosyphilis | NS (n = 13) GPI (n = 55) AD (n = 23) | CSF/plasma: Ng, Aβ, BACE1 | CSF Ng, BACE1, and tau, as well as plasma BACE1 levels, were significantly different among groups. | CSF tau and plasma Ng correlated with cognitive scale scores | Case–control study | Zhang et al., 2020 |
| Schizophrenia | Schizophrenia (n = 7) CTRL (n = 7) | Prefrontal cortex expression of Ng in pyramidal cells in layers III and V in area 9 and 32. | A marked decrease in Ng immunostaining in both areas 9 and 32 of the prefrontal cortex. | N/A | Case–control study | |
| Depression | Major depression (n = 12) | Whether the ECT will change CSF Ng | CSF Ng concentrations do not change before and after a course of ECT | Baseline Ng levels were positively correlated with the therapeutic response. | Prospective study | Kranaster et al., 2017 |
| FEP | FEP patients (n = 40) CTRL (n = 20) | CSF Ng | FEP patients ↓ vs. CTRL | N/A | Longitudinal study | Santillo et al., 2019 |
| TBI | TBI patients (n = 76) CTRL (n = 150) | Serum Ng | TBI patients ↑ vs. CTRL with an ROC for diagnosing TBI of 0.72 | N/A | Case–control study | Yang et al., 2015 |
| CTRL (n = 328) mTBI (n = 179) | Serum Ng | mTBI patients ↑ vs. CTRL | N/A | Prospective observational study | Peacock et al., 2017 | |
| AIS | AIS (n = 50) | Paired CSF/plasma Ng | Ng was elevated in both CSF and plasma. | Positively correlated with infarct volume | Prospective study |
An overview of the major clinical researches involved in Ng published currently.
MCI-AD, MCI due to AD; MCI-o, MCI not due to AD; aMCI, amnestic MCI; CTRL, control; sMCI, stable MCI; pMCI, progressive MCI; Ng, neurogranin; AD, Alzheimer’s disease; PD, Parkinson disease; CJD, Creutzfeldt–Jakob disease; TBI, traumatic brain injury; mTBI, mild TBI; AIS, acute ischemic stroke; CSF, cerebrospinal fluid; Aβ, amyloid β; t-tau, total tau; p-tau, phosphorylated tau; MCI, mild cognitive impairment; HD, Huntington disease; FTD, frontotemporal dementia; DLB, dementia with Lewy bodies; PDD, PD with dementia; NfL, neurofilament light; neuro-HIV, neuro-human immunodeficiency virus; FC, frontal cortex; MMSE, Mini–Mental State Examination; ECT, electroconvulsive therapy; MoCA, the Montreal Cognitive Assessment scores; FEP, first episode psychosis; ROC, receiver operating characteristic; NDEs, neuronal-derived exosomes; NS, neurosyphilis; GPI, general paresis of the insane; BACE1, precursor protein cleaving enzyme; N/A, not applicable due to lack of evidence; ↑, increased level; ↓, decreased level.
Cerebrospinal Fluid Neurogranin in Neurodegenerative Disorders
Neurodegenerative disorders (NDs) are characterized by progressive dysfunction of neurons, glias, synapses, as well as the neural networks (Kovacs, 2016, 2017). A critical feature of NDs is the aggregation and deposition of variants of physiological proteins in the CNS (Kovacs, 2016, 2017). Both neurons and glias have the capacity to accumulate these pathological variants (Kovacs, 2016, 2017). NDs can be broadly classified by their clinical presentations, most of which are the disorders of movement, cognition, mentation, or behavior. A small portion of patients develop pure syndromes, but most patients show mixed clinical features (). AD and PD are the two kinds of the most common NDs. The occurrence of these types of NDs is usually in middle or old age, and the incidence is elevated with an increasing life expectancy of the population. In general, the diagnostic gold criteria of diverse NDs are neuropathological evaluation at autopsy. In comparison, the detectable biomarkers in vivo are supposed to improve the diagnosis, stratification, and prognosis of patients (Kovacs, 2016).
Cerebrospinal Fluid/Plasma Neurogranin in Alzheimer’s Disease
As the most common kind of dementing disease, AD is a relentlessly progressive and fatal disorder of CNS, which begins approximately 10–15 years before the clinical manifestations (Rafii, 2016). Pathologically, AD is characterized by both certain hallmarks in the brain, including the extracellular plaques composed of Aβ peptide and the intracellular neurofibrillary tangles composed of the hyperphosphorylated tau protein (). Undoubtedly, the core CSF biomarkers of Aβ reflecting brain amyloidosis, t-tau reflecting neurodegeneration intensity, and p-tau that is related to tau pathology, have good diagnostic accuracy in clinical practice. However, in view of the multifactorial pathogenesis of AD and the overlapping pathology with other kinds of dementia, it is necessary to integrate the core CSF biomarkers with other novel biomarkers that are capable of reflecting different aspects of neuropathology. Synaptic degeneration is an essential component of AD pathophysiology, which is present in early disease stages (Masliah et al., 2001; Scheff et al., 2007). An increasing amount of data suggests that synaptic dysfunction is associated with cognitive decline and ahead of neuronal degeneration (). Thus, the biomarkers reflecting the integrity and plasticity of synapses may be useful for the early diagnosis and prognosis of AD.
Many of clinical studies support the findings that the levels of CSF Ng are higher in AD or MCI patients than those in healthy controls (HCs) or non-AD dementia patients (; Hellwig et al., 2015; Kester et al., 2015; Portelius et al., 2015). Higher levels of CSF Ng are positively correlated to higher scores of Aβ neuritic plaques and tau tangles pathology (Portelius et al., 2018). High levels of CSF Ng in AD and prodromal AD have been verified in several subsequent studies (Hellwig et al., 2015; Kvartsberg et al., 2015a).
A study explored the correlations between baseline CSF Ng levels with baseline and longitudinal cognitive decline, brain atrophy, and glucose metabolism (Portelius et al., 2015). They found that high baseline levels of CSF Ng in the MCI patients are associated with the longitudinal decline of hippocampal volume and cortical glucose metabolism at clinical follow-up (Portelius et al., 2015). Further, within the progressive MCI group, elevated CSF Ng levels correlate with accelerated deterioration in Alzheimer’s disease Assessment Scale—cognitive subscale (Portelius et al., 2015). In a recent meta-analysis, it revealed that the CSF Ng level is significantly higher in MCI patients progressed to AD than that in stable MCI patients (Mavroudis et al., 2019).
A cross-sectional and longitudinal observational study of cognitive decline between the symptomatic AD patients and cognitively normal controls proved that the CSF levels of Ng can develop the diagnosis and prognosis for early symptomatic AD that is comparable with other CSF biomarkers of AD (Tarawneh et al., 2016). Importantly, CSF Ng enhances the comprehensive capacity of these biomarkers to predict future cognitive decline in the cognitively normal controls (Tarawneh et al., 2016).
Additionally, the data of Ng expression in postmortem brain tissues of AD demonstrated that the elevated CSF Ng levels are in accordance with the decreased Ng levels in the cerebral cortex and hippocampus (). Ng levels in brain tissues of AD do not differ between early and late Braak stages, indicating that synaptic loss is not only a late-stage pathological feature (). Therefore, CSF Ng is a promising biomarker for early diagnosis and progression prediction of AD, which could be a useful complement to the panel of AD biomarkers currently.
For clinical applications, sample collection needs to be as accessible and reproducible as possible. However, no significant differences were found in plasma levels of Ng between AD patients and controls (), indicating the necessity of developing other kinds of Ng-related biomarkers from the blood. In that regard, a pilot study investigated the blood-derived Ng and revealed that the concentrations of Ng in the plasmatic NDEs are significantly lower in AD compared with the controls and correlate with the progression from MCI to AD (Winston et al., 2016). A recent meta-analysis uncovered that compared with the cognitively normal controls, the levels of plasmatic NDEs Ng in AD patients have an obvious decrease (Liu et al., 2020). Moreover, a recent study confirmed the difference in plasmatic NDEs Ng between AD patients and controls (Jia et al., 2020). Furthermore, the plasmatic exosomal levels of Ng are found to be correlated with CSF Ng levels. Also, the plasmatic exosomal Ng distinguishes AD with amnestic MCI and controls with the highest accuracy among all the plasmatic exosomal synaptic protein candidates, including growth-associated protein 43, Ng, synaptosome-associated protein 25, and synaptotagmin 1 (Jia et al., 2020).
The NIA-AA Research Framework, published in 2018, emphasized the necessity of a biological definition of AD and established the A/T/(N) biomarker classification system (Jack et al., 2018). In the framework, “A,” “T” and “(N)” stand for Aβ, tau, and neurodegeneration, respectively. It is generally recognized that “N” includes the cellular injury, regional volume loss of the brain, and the destruction of system-level circuits (Jack et al., 2018). Taken together, as a postsynaptic protein, the current evidence suggests that Ng is a promising biomarker reflecting synaptic dysfunction in AD. The value of CSF Ng in the diagnosis and prediction of AD has been clarified, but the relationship between blood-derived Ng and AD still needs further study.
Cerebrospinal Fluid Neurogranin in Parkinson Disease
Characterized by the loss of nigrostriatal dopaminergic neurons, PD is the second most common primary ND of the CNS, whose major clinical manifestation is the development of movement disorder (). Synaptic dysfunction is an early change in PD, which has been shown in a previous animal study (Yarnall et al., 2013). It proved that the neurons expressing Ng in the cortex degenerate in the late stage of PD (Yarnall et al., 2013). Besides, the levels of phosphorylated Ng are also lower in the superior temporal cortex in PD patients (Koob et al., 2014).
A study enrolled 52 PD patients and 87 HCs, measured the CSF concentrations of Ng, and explored the associations between Ng with motor symptoms (evaluated by Hoehn and Yahr scale) as well as cognitive symptoms (evaluated by the Montreal Cognitive Assessment scores) (). It showed significant associations between increased concentrations of CSF Ng and cognitive impairment in the PD group, and CSF Ng is increased in PD patients in a disease-specific manner and associated with the severity of cognitive decline and motor disorder (). Confusingly, a subsequent study showed the inconsistent results that enrolled 30 patients with mild-to-moderate PD and 26 HCs and tested the correlation between hypometabolism, CSF Aβ, CSF Ng, and CSF α-synuclein (Selnes et al., 2017). It showed that the CSF Ng levels are significantly lower in mild-to-moderate PD than those in controls and associated with CSF Aβ levels, CSF α-synuclein levels, and motor stage (Selnes et al., 2017). A prospective study showed that the Ng levels are significantly lower in PD, PD with MCI, and PDD) relative to AD dementia (Portelius et al., 2018). A recent study tested the CSF Ng in patients with PD, PDD, AD, and HCs and investigated the possible correlations between CSF Ng with cognitive and motor impairment (Hall et al., 2020). They found that Ng is decreased in patients with PD and PDD compared with the HCs and AD patients, respectively (Hall et al., 2020). Nevertheless, they did not find that Ng correlates with a motor disorder, cognitive impairment, longitudinal cognitive decline, or the progression to dementia in PD (Hall et al., 2020).
To sum up, the research on PD and Ng is booming currently, but the diagnostic value of Ng in CSF still needs to be further explored. More importantly, the correlation between blood Ng and PD remains unclear.
Cerebrospinal Fluid Neurogranin in Huntington Disease
As an autosomal dominant inheritance disease, HD is devastating to patients and their families, which is caused by an expanded trinucleotide repeat of CAG in the gene of huntingtin (). There is evidence that synaptic dysfunction is a critical feature in HD pathogenesis (Smith et al., 2005; Sepers and Raymond, 2014). The whole-brain gene expression study in postmortem HD patient brains proved that the NRGN is one of the most robustly downregulated genes in HD caudate compared with the controls (Hodges et al., 2006; Runne et al., 2007). However, quantified Ng and triggering receptor expressed on myeloid cells-2 in CSF samples from HD mutation carriers and controls and found that CSF Ng levels do not significantly differ between HD and HCs (). In addition, it did not find the significant associations between CSF Ng levels and the disease burden score, total functional capacity, or motor score ().
In a word, Ng-related research in HD is still far behind that of AD and PD. This may attribute to the type and characteristics of the disease or the limitation of the current testing methods of Ng.
Cerebrospinal Fluid Neurogranin in Creutzfeldt–Jakob Disease
Creutzfeldt–Jakob disease is a rapidly progressive and fatal neurodegenerative disease that is caused by misfolded, transmissible proteinaceous infectious particles (Uttley et al., 2020). One fundamental characteristic of CJD is synaptic degeneration and disorganization, resulting in neuronal loss and spongiform changes (). Actually, over a 30% reduction of the certain synaptic index in the brain has been found in prion disease compared with the controls ().
investigated CSF Ng, t-tau, neurofilament light, and 14-3-3 protein in CJD (n = 81), AD (n = 46), and neurological controls (NCs, n = 64). The accuracy of Ng that differentiates the three groups and Ng expression in postmortem brain tissue was evaluated. They found that CJD has the highest levels of CSF Ng, which is helpful in the prediction of prognosis of CJD, is not influenced by age or sex, and is dependent on disease subtype (). In detail, CSF Ng is elevated in MM1/MV1 molecular subtypes compared with the VV2 subtype, which is in line with the severity of cortical pathological affectation (). However, the authors did not consider CSF Ng as a specific marker of synaptic degeneration but rather a marker of neuronal damage (). A recent study had a unicentric cohort of 353 participants, including HC subjects, AD, frontotemporal dementia (FTD), and CJD (). They analyzed and compared the diagnostic accuracy and differentiating capacity of four noncore biomarkers, which stand for the distinct aspects of the neurodegeneration process (). The rank of CSF Ng concentrations from lower to higher is FTD < HC < AD < CJD, which is in concordance with previously published data. Comparing their capacity in differentiating among neurodegenerative dementias, CSF Ng shows the significant differences across all three groups (AD, FTD, and CJD) ().
At present, the relation of Ng and CJD is still scatteredly reported, in which CSF Ng has been evaluated for diagnosis and differential diagnosis, and the results are relatively consistent, suggesting that CSF Ng has the potential to be a CJD biomarker.
Cerebrospinal Fluid Neurogranin in Other Neurodegenerative Disorders
In addition to the AD, PD, and HD, some scattered studies about CSF Ng in other NDs, including FTD, DLB, progressive supranuclear palsy (PSP), and multiple system atrophy (MSA), have been published so far (Wellington et al., 2016; Portelius et al., 2018). An optimized immunoassay was introduced to analyze CSF Ng in a retrospective cohort, which showed FTD does not have significantly elevated CSF Ng concentrations compared with controls (Wellington et al., 2016). Of note, CSF Ng concentrations are slightly higher in speech variant frontotemporal dementia compared with behavioral variant frontotemporal dementia (Wellington et al., 2016). A study investigated CSF levels of Ng and other two synaptic proteins in FTD. CSF samples were analyzed in 66 patients in the FTD spectrum and 19 HCs. Patients were stratified as per their tau-to-Aβ42 ratio (tau/Aβ42) (). In detail, patients with a ratio of >1 were considered as undergoing the likely AD pathology (“AD biomarker” group [n = 18]), and patients with a ratio <1 were considered as undergoing the likely FTD pathology (“FTD biomarker” group [n = 48]) (). However, no CSF synaptic proteins showed a pathological abnormality in the “FTD biomarker” group, and the higher CSF concentrations of Ng appear to be more related to AD pathology ().
In a study in which a total of 129 postmortem human brain samples were analyzed in brain regional-specific manner, it found that Ng levels are reduced across the brain regions in all the three dementia groups (DLB, PDD, and AD) compared with the controls (). The most significant changes reflecting synaptic dysfunction were found in DLB patients, followed by patients with PDD and AD (). The authors suggested that the proposition that synaptic biomarkers predicting cognitive decline in AD is supposed to be extended to DLB (). In contrast, another retrospective cohort study did not show the significant differences in CSF Ng concentrations between DLB and controls (Wellington et al., 2016).
Cerebrospinal Fluid Neurogranin in Infectious Diseases of the Central Nervous System
Infectious diseases of the CNS have a sizable effect on local health-care systems and economies (Vora et al., 2014). The change in mental status induced by the inflammation is a hallmark of neurotropic pathogen infections of the CNS (Klein et al., 2017). Pathogens, including bacteria, viruses, fungi, and parasites, can invade the brain parenchyma and give rise to the inflammation and/or the infection of both meningeal and parenchymal compartments, which lead to the dysfunction of neurons, glia cells, and the neural networks (). On the basis of the published studies so far, we mainly summarize the relationship between Ng and the following two infectious diseases of the nervous system.
Cerebrospinal Fluid Neurogranin in Neuro-Human Immunodeficiency Virus Infection
Soon after transmission, HIV can be detected in the CSF in most patients (Valcour et al., 2012). The antiretroviral therapy has decreased the rates of mortality and morbidity in HIV-positive (HIV+) patients and has decreased the incidence of HIV-associated dementia, which is the most severe stage of neuro-HIV (Sinharay and Hammoud, 2019). Synaptic disruption is crucial in the mechanisms of cognitive impairment in HIV-1-infected patients (; Green et al., 2019). Compared with neuronal apoptosis and HIV-encephalitis, the dendritic injury due to HIV-1 infection is more closely related to cognitive impairments among HIV-associated neurocognitive disorder (HAND) patients (). Guha et al. (2018) compared the expression of Ng in the frontal cortex (FC) between HIV-1-positive subjects with and without HAND and the controls (Guha et al., 2018). The study found that the expression levels of Ng are reduced significantly in FC of HAND-positive patients in contrast with the uninfected individuals. Yet, a recent cross-sectional study showed that CSF Ng concentrations are in the same range for all the groups of HIV-infected patients and uninfected controls (Yilmaz et al., 2019).
Cerebrospinal Fluid Neurogranin in Neurosyphilis
NS, the clinical outcomes of nervous system infection of Treponema pallidum, can occur at any stage of syphilis (Ropper, 2019). NS is very insidious in the early stage, while its clinical manifestation in the late stage is very serious, which includes the general paresis and tabes dorsalis. Thus the early diagnosis and differential diagnosis are critical.
Intriguingly, patients with NS at a later stage general paresis of the insane (GPI) are found to have the brain pathology features of AD (Zhang et al., 2020). In a recent study, the levels of Ng and amyloid precursor protein cleaving enzyme (BACE1) in CSF and plasma, together with Aβ40, Aβ42, and t-tau in the CSF of AD patients (n = 23), GPI patients (n = 55), and NS patients (n = 13) were tested (Zhang et al., 2020). It found that the CSF concentrations of Ng, BACE1, and tau and the plasma BACE1 levels significantly differ among all the groups (Zhang et al., 2020). Pooling data from GPI and NS patients, both CSF tau and plasma Ng levels, are associated with cognitive scale score. These findings indicate the potential of diagnosis, differential diagnosis, and assessment of the severity of NS (Zhang et al., 2020). However, there are a few other reports, and further research is needed.
Cerebrospinal Fluid Neurogranin in Mental Disorders
Millions of people experience mental disorders, such as schizophrenia and depression. These mental diseases are characterized by a combination of abnormal thoughts, emotions, behaviors, and perceptions (Quintero et al., 2019). Given the multifactorial complexity of these disorders, the biomarkers are supposed to assist in the early diagnosis, monitoring, and treatment selection. As a severe and complex mental disorder, schizophrenia has a lifetime prevalence of ∼1%, constituting ∼1% of the global burden of the disease (Lora et al., 2012). A genome-wide association study identified a relationship between schizophrenia and the single nucleotide polymorphism of rs12807809 in the NRGN (Stefansson et al., 2009). In recent years, several reports attempted to reveal the association between rs12807809 polymorphism and schizophrenia among different populations, but the results were controversial (Li et al., 2010; Sudesh et al., 2017). A recent meta-analysis aiming to integrate the present studies on the 12807809 polymorphism showed a statistically significant association between schizophrenia and rs12807809 polymorphism in the overall population in the allelic model (odds ratio = 1.10, 95% confidence interval 1.04–1.17). Nevertheless, the subgroup analysis revealed that a similar association only exists in Caucasians but not in Asians (Jin et al., 2019). A study of postmortem brain tissues showed a significant decrease in Ng immunostaining in both areas 9 and 32 of the prefrontal cortex (PFC) in schizophrenia compared with controls ().
In an animal study, transgenic mice overexpressing Ng in the PFC show the enhanced local plasticity and increased rate of extinction learning among different behavioral tasks, suggesting that Ng signaling in the PFC may be a specific therapeutic target for the treatment of disorders that are characterized by impaired extinction of fearful stimuli, e.g., post-traumatic stress disorder, or of reward-associated stimuli, e.g., drug addiction (Zhong et al., 2015). Electroconvulsive therapy (ECT) is a wildly used treatment for severe depression, which is considered to facilitate the neurogenesis and neural plasticity (Rotheneichner et al., 2014). A study investigated the changes of CSF Ng in response to ECT treatment in patients with depression and found that the mean CSF Ng levels do not alter within a course of ECT, but the low baseline Ng levels in the patients with major depression are positively associated with the degree of therapeutic response (Kranaster et al., 2017).
Further, a study examined CSF Ng in patients with first-episode psychosis (FEP) and HCs. It showed that CSF Ng is lower in FEP patients compared with the controls, although it is not statistically significant. In the FEP group, the significant effects of antipsychotic treatment, which is correlated to the lower levels of CSF Ng, suggest that CSF Ng is probably changed as a consequence of minimal exposure to the antipsychotic treatment (Santillo et al., 2019).
In fact, studies on the association between Ng genotypes and psychiatric disorders, particularly schizophrenia, have been carried out for many years. However, the research on the relationship between body fluids-based Ng and mental disorders is still at an early stage and is worth further exploration.
Serum Neurogranin in Traumatic Brain Injury
Traumatic brain injury is a significant medical problem worldwide, which may cause short- or long-term synaptic changes in the CNS, resulting in an increased risk for cognitive impairment later in life (Svirsky et al., 2020). Animal studies showed that TBI could cause significant changes in axonal structure, synaptic structure, dendritic morphology, and spine density as a result of diffuse axonal injury and synaptic loss (Gao et al., 2011; Park and Biederer, 2013). A study developed a sensitive Ng sandwich ELISA to measure Ng quantitatively in serum samples from both cohorts of acute TBI patients and non-TBI controls. It found that serum Ng levels in acute TBI patients are significantly higher than those in non-TBI controls, with a ROC of 0.72 for diagnosing TBI (Yang et al., 2015). An observational emergency department study of head-injured and control patients also reached the consistent conclusions that Ng is elevated within 2–6 h after injury (Peacock et al., 2017). A recent study aimed to explore the effect of TBI on Ng by detecting the protein expression at different time points after injury (Svirsky et al., 2020). Adult male rats were subjected to either CCI group or sham group, and the expression of Ng and postsynaptic density (PSD) 95 was measured by Western blotting in the cortex and hippocampus at 1, 7, 14, and 28 days after injury. It found that the contralateral and ipsilateral hippocampus have a significant reduction in Ng levels at 1 day after CCI injury. Besides, the levels of Ng in the ipsilateral hippocampus are still significantly decreased at 7 and 14 days after CCI injury, whereas they recover to sham levels by 28 days. These results indicated that CCI lowers Ng expression in a temporal and regional specificity manner (Svirsky et al., 2020).
As a disease entity, TBI is also a risk factor for a variety of neurological diseases. Current studies suggest that Ng has potential in TBI diagnosis and disease progression. However, the lack of clinical research has limited the further transformation and application of Ng.
Cerebrospinal Fluid and Plasma Neurogranin in Acute Ischemic Stroke
Globally, stroke (including ischemic stroke and hemorrhagic stroke) affects around 13.7 million individuals per year and is the second leading cause of death (Lindsay et al., 2019). Ischemic stroke caused by arterial occlusion is responsible for the majority of stroke cases (). After a stroke, a period of plasticity involving the neuronal genesis and synaptic modulation is essential to spontaneous recovery, which contains compensatory adaptation and real neurologic recovery (). A prospective study exploring Ng in paired CSF/plasma samples of AIS patients used both ELISA and single-molecule array (Simoa) technology for Ng measurement (). It showed that plasma Ng levels are only associated with the volume of cerebral infarction. Likewise, the levels of CSF Ng are significantly higher in patients with an infarction volume >5 ml than those in patients with smaller infarction volume. However, neither the symptoms severity nor long-term outcomes are correlated with Ng in plasma or CSF ().
In addition to AD, AIS is the only disease that has been studied to observe levels of CSF and blood Ng and their correlation. The discussed findings suggest the potential of blood Ng in reflecting brain tissue damage. However, whether the blood and CSF Ng have certain consistency is still an unavoidable issue for blood-based Ng. Recent studies have found that some kind of enzymes have the capacity of cleaving Ng and yielding specific fragments (), which could influence the accuracy of the current detection methods. Therefore, the development of novel detection approaches is an urgent part of Ng clinical research.
Discussion
Considerable evidence proves that a synaptic dysfunction is an early event in the pathogenesis of many neurodegenerative diseases, particularly in the AD (; Masliah, 2001) and PD (Jellinger, 2012). As a postsynaptic protein, Ng has been recommended as a promising biomarker for synapse loss or dysfunction (). A series of clinical studies have confirmed the rationality, validity, sensitivity, and specificity of CSF Ng in the diagnosis for both AD dementia and prodromal AD. Thus, CSF Ng has been included in the A/T/(N) research framework of the biological definition of AD as an essential indicator of neurodegeneration (Jack et al., 2018).
However, there are still many problems in the development of the application of Ng from bench to bedside. So far, no clear evidence proves that Ng is a disease-specific biomarker, as the change of function and structure of synapse is common in the pathogenesis of different kinds of CNS diseases, indicating that the current research reports are insufficient to uncover the profile and potential application values of Ng in clinical practice. Besides, the consistency of the present results about Ng and AD is acceptable, but the other findings need more interpretation, such as the association of Ng with PD (Selnes et al., 2017; Hall et al., 2020), neuro-HIV (Guha et al., 2018; Yilmaz et al., 2019), FTD (; ), etc., which in part attributes to the current measuring methods lacking high accuracy in detecting the proteins of extremely low levels both in CSF and blood.
Given that the blood samples are more accessible than CSF samples, striving has been made for replacing CSF-based biomarkers with blood-based biomarkers, especially for the diagnosis of NDs such as AD. For instance, the blood and CSF levels of neurofilament light (a promising biomarker for AD diagnosis) has been proved consistent (; Jack et al., 2018), indicating that it is potential to develop a blood-based, rapid, simple, portable, and easily accessible testing method for the AD screening in community populations. Frustratingly, only scattered studies have investigated blood Ng levels but failed to show a significant difference between AD patients and HCs. Also, no significant correlation between CSF and blood Ng was reported previously (). Besides, blood Ng has also been poorly studied in other neurodegenerative diseases. Given that the concentration of CNS biomarkers outside of the CNS is often extremely low, it is difficult to be conducted using conventional clinical assays.
Other important factors complicating the analysis include peripheral expression of Ng, the endogenous antibodies interfering with the measured results, and the proteases influence the catabolism of Ng (Zetterberg and Burnham, 2019). Since the discovery of Ng in 1990 (Watson et al., 1990), there are, to our knowledge, very few studies investigating its metabolic profile. Mass spectrometry analyses suggested that Ng is catabolized into several short C-terminal peptides, which can be identified in CSF, and only minute amounts of full-length Ng is present in CSF. Furthermore, it showed that Ng in human plasma exists as several endogenous peptides via analyzing paired plasma and CSF samples from patients with AD and HCs. Among the endogenous Ng peptides detected, CSF Ng 48–76 shows the most pronounced increase in patients with AD compared with the controls. Importantly, Ng 48–76 is also proved to be dominant in the brain tissues of AD patients. However, Ng 48–76 is not detected in plasma. These findings indicate that this particular peptide is probably brain-specific (Kvartsberg et al., 2015b). Conversely, four of the Ng peptides found only in plasma are not generated after incubation of full-length Ng in Ng-depleted plasma, indicating that some certain enzymes existing in plasma have the capacity of cleaving Ng at different sites (Kvartsberg et al., 2015b).
On the basis of current studies, Ng is expressed in the lung, spleen, bone marrow, and platelets, which may contribute to its high concentrations in blood. Due to the high plasma concentrations of Ng in normal individuals (Kvartsberg et al., 2015b), the subtle alteration is probably not detected in blood in case of chronic progressive neurodegeneration like AD. Besides, Ng is catabolized into several short C-terminal peptides; the levels of which vary in CSF and plasma, implying that the development of monoclonal anti-Ng antibodies-based testing methods is relatively difficult.
In summary, blood-based biomarkers are an important development direction in the diagnosis of neurological and mental diseases due to their many advantages compared with CSF based biomarkers. Currently, the transformation process of Ng from bench to bed has been developing rapidly in the NDs, especially in AD. In other kinds of diseases, such as PD and schizophrenia, it also has a very great potential value of transformation and application. As an essential synaptic component, Ng is a potential and promising biomarker to improve the diagnosis, prognosis and severity evaluation of the neurological and mental diseases in the future with the development of detection approaches and sample processing.
Statements
Author contributions
All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.
Funding
This study was supported in part by the National Natural Science Foundation of China Fund (Grant No. 81601112), Sichuan Department of Science and Technology Fund (Grant No. 2018SZ0141), Top Project of Youth Incubation Program of Military Medical Science and Technology (Grant No. 19QNP065), and China’s Post-doctoral Science Fund (Grant No. 2017M623357).
Acknowledgments
We are deeply appreciative of the participants in this study, and thank all staff for their support and assistance.
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.
Abbreviations
- AD
Alzheimer’s disease
- AIS
acute ischemic stroke
- A β
amyloid β
- BACE1
precursor protein cleaving enzyme
- CCI
controlled cortical impact
- CJD
Creutzfeldt–Jakob disease
- CNS
central nervous system
- CSF
cerebrospinal fluid
- DLB
dementia with Lewy bodies
- FTD
frontotemporal dementia
- GPI
general paresis of the insane
- HD
Huntington disease
- MCI
mild cognitive impairment
- NDEs
neuronal-derived exosomes
- NDs
neurodegenerative disorders
- neuro-HIV
neuro-human immunodeficiency virus
- NfL
neurofilament light
- Ng
neurogranin
- NRGN
neurogranin gene
- NS
neurosyphilis
- PD
Parkinson disease
- PDD
PD with dementia
- p-tau
phosphorylated tau
- ROC
receiver operating characteristic
- TBI
traumatic brain injury
- t-tau
total tau.
References
1
AntonellA.Tort-MerinoA.RiosJ.BalasaM.Borrego-EcijaS.AugeJ. M.et al (2020). Synaptic, axonal damage and inflammatory cerebrospinal fluid biomarkers in neurodegenerative dementias.Alzheimers Dement.16262–272. 10.1016/j.jalz.2019.09.001
2
BarkerR. A.Transeuro consortium. (2019). Designing stem-cell-based dopamine cell replacement trials for Parkinson’s disease.Nat. Med.251045–1053. 10.1038/s41591-019-0507-2
3
BatesG. P.DorseyR.GusellaJ. F.HaydenM. R.KayC.LeavittB. R.et al (2015). Huntington disease.Nat. Rev. Dis. Primers.1:15005. 10.1038/nrdp.2015.5
4
BeckerB.NazirF. H.BrinkmalmG.CamporesiE.KvartsbergH.PorteliusE.et al (2018). Alzheimer-associated cerebrospinal fluid fragments of neurogranin are generated by Calpain-1 and prolyl endopeptidase.Mol. Neurodegener.13:47. 10.1186/s13024-018-0279-z
5
BereczkiE.BogstedtA.HoglundK.TsitsiP.BrodinL.BallardC.et al (2017). Synaptic proteins in CSF relate to Parkinson’s disease stage markers.NPJ. Parkinsons. Dis.3:7. 10.1038/s41531-017-0008-2
6
BereczkiE.FrancisP. T.HowlettD.PereiraJ. B.HoglundK.BogstedtA.et al (2016). Synaptic proteins predict cognitive decline in Alzheimer’s disease and Lewy body dementia.Alzheimers Dement.121149–1158. 10.1016/j.jalz.2016.04.005
7
BlennowK.de LeonM. J.ZetterbergH. (2006). Alzheimer’s disease.Lancet368387–403. 10.1016/s0140-6736(06)69113-7
8
BlennowK.Diaz-LucenaD.ZetterbergH.Villar-PiqueA.KarchA.VidalE.et al (2019). CSF neurogranin as a neuronal damage marker in CJD: a comparative study with AD.J. Neurol. Neurosurg. Psych.90846–853. 10.1136/jnnp-2018-320155
9
BrinkmalmA.PorteliusE.BrinkmalmG.PanneeJ.DahlenR.GobomJ.et al (2019). Fluid-based proteomics targeted on pathophysiological processes and pathologies in neurodegenerative diseases.J. Neurochem.151417–434. 10.1111/jnc.14594
10
BroadbeltK.RamprasaudA.JonesL. B. (2006). Evidence of altered neurogranin immunoreactivity in areas 9 and 32 of schizophrenic prefrontal cortex.Schizophr. Res.876–14. 10.1016/j.schres.2006.04.028
11
ByrneL. M.RodriguesF. B.JohnsonE. B.De VitaE.BlennowK.ScahillR.et al (2018). Cerebrospinal fluid neurogranin and TREM2 in Huntington’s disease.Sci. Rep.8:4260. 10.1038/s41598-018-21788-x
12
CainM. D.SalimiH.DiamondM. S.KleinR. S. (2019). Mechanisms of Pathogen Invasion into the Central Nervous System.Neuron103771–783. 10.1016/j.neuron.2019.07.015
13
CampbellB. C. V.De SilvaD. A.MacleodM. R.CouttsS. B.SchwammL. H.DavisS. M.et al (2019). Ischaemic stroke.Nat. Rev. Dis. Primers.5:70. 10.1038/s41572-019-0118-8
14
CheriyanV. T.AlfaidiM.JorgensenA. N.AlamM. A.AbdullahC. S.KolluruG. K.et al (2020). Neurogranin regulates eNOS function and endothelial activation.Redox. Biol.34:101487. 10.1016/j.redox.2020.101487
15
ClarkeM. T. M.BrinkmalmA.FoianiM. S.WoollacottI. O. C.HellerC.HeslegraveA.et al (2019). CSF synaptic protein concentrations are raised in those with atypical Alzheimer’s disease but not frontotemporal dementia.Alzheimers Res. Ther.11:105. 10.1186/s13195-019-0564-2
16
ClintonJ.ForsythC.RoystonM. C.RobertsG. W. (1993). Synaptic degeneration is the primary neuropathological feature in prion disease: a preliminary study.NeuroReport.465–68. 10.1097/00001756-199301000-00017
17
De VosA.BjerkeM.BrounsR.De RoeckN.JacobsD.Van den AbbeeleL.et al (2017). Neurogranin and tau in cerebrospinal fluid and plasma of patients with acute ischemic stroke.BMC Neurol.17:170. 10.1186/s12883-017-0945-8
18
De VosA.JacobsD.StruyfsH.FransenE.AnderssonK.PorteliusE.et al (2015). C-terminal neurogranin is increased in cerebrospinal fluid but unchanged in plasma in Alzheimer’s disease.Alzheimers Dement.111461–1469. 10.1016/j.jalz.2015.05.012
19
DeKoskyS. T.ScheffS. W. (1990). Synapse loss in frontal cortex biopsies in Alzheimer’s disease: correlation with cognitive severity.Ann. Neurol.27457–464. 10.1002/ana.410270502
20
Diez-GuerraF. J. (2010). Neurogranin, a link between calcium/calmodulin and protein kinase C signaling in synaptic plasticity.IUBMB Life.62597–606. 10.1002/iub.357
21
DuggerB. N.DicksonD. W. (2017). Pathology of Neurodegenerative Diseases.Cold Spring Harb. Perspect. Biol.9:a028035. 10.1101/cshperspect.a028035
22
EverallI. P.HeatonR. K.MarcotteT. D.EllisR. J.McCutchanJ. A.AtkinsonJ. H.et al (1999). Cortical synaptic density is reduced in mild to moderate human immunodeficiency virus neurocognitive disorder.Brain Pathol.9209–217. 10.1111/j.1750-3639.1999.tb00219.x
23
FellingR. J.SongH. (2015). Epigenetic mechanisms of neuroplasticity and the implications for stroke recovery.Exper. Neurol.26837–45. 10.1016/j.expneurol.2014.09.017
24
ForteaJ.Carmona-IraguiM.BenejamB.FernándezS.VidelaL.BarroetaI.et al (2018). Plasma and CSF biomarkers for the diagnosis of Alzheimer’s disease in adults with Down syndrome: a cross-sectional study.Lancet Neurol.17860–869. 10.1016/s1474-4422(18)30285-0
25
FyfeI. (2015). Neurogranin in the CSF signals early Alzheimer disease and predicts disease progression.Nat. Rev. Neurol.11609–609. 10.1038/nrneurol.2015.178
26
GaoX.DengP.XuZ. C.ChenJ. (2011). Moderate traumatic brain injury causes acute dendritic and synaptic degeneration in the hippocampal dentate gyrus.PLoS One.6:e24566. 10.1371/journal.pone.0024566
27
Garrido-GarciaA.De AndresR.Jimenez-PompaA.SorianoP.Sanz-FuentesD.Martinez-BlancoE.et al (2019). Neurogranin Expression Is Regulated by Synaptic Activity and Promotes Synaptogenesis in Cultured Hippocampal Neurons.Mol. Neurobiol.567321–7337. 10.1007/s12035-019-1593-3
28
GlynneR.GhandourG.RaynerJ.MackD. H.GoodnowC. C. (2000). B-lymphocyte quiescence, tolerance and activation as viewed by global gene expression profiling on microarrays.Immunol. Rev.176216–246. 10.1034/j.1600-065x.2000.00614.x
29
GnatenkoD. V.DunnJ. J.McCorkleS. R.WeissmannD.PerrottaP. L.BahouW. F. (2003). Transcript profiling of human platelets using microarray and serial analysis of gene expression.Blood1012285–2293. 10.1182/blood-2002-09-2797
30
GreenM. V.RaybuckJ. D.ZhangX.WuM. M.ThayerS. A. (2019). Scaling Synapses in the Presence of HIV.Neurochem. Res.44234–246. 10.1007/s11064-018-2502-2
31
GuhaD.WagnerM. C. E.AyyavooV. (2018). Human immunodeficiency virus type 1 (HIV-1)-mediated neuroinflammation dysregulates neurogranin and induces synaptodendritic injury.J. Neuroinflamm.15:126. 10.1186/s12974-018-1160-2
32
HallS.JanelidzeS.ZetterbergH.BrixB.MattssonN.SurovaY.et al (2020). Cerebrospinal fluid levels of neurogranin in Parkinsonian disorders.Mov. Disord.35513–518. 10.1002/mds.27950
33
HellwigK.KvartsbergH.PorteliusE.AndreassonU.ObersteinT. J.LewczukP.et al (2015). Neurogranin and YKL-40: independent markers of synaptic degeneration and neuroinflammation in Alzheimer’s disease.Alzheimers Res. Ther.7:74. 10.1186/s13195-015-0161-y
34
HodgesA.StrandA. D.AragakiA. K.KuhnA.SengstagT.HughesG.et al (2006). Regional and cellular gene expression changes in human Huntington’s disease brain.Hum. Mol. Genet.15965–977. 10.1093/hmg/ddl013
35
JackC. R.Jr.BennettD. A.BlennowK.CarrilloM. C.DunnB.et al (2018). NIA-AA Research Framework: Toward a biological definition of Alzheimer’s disease.Alzheimers Dement.14535–562. 10.1016/j.jalz.2018.02.018
36
JellingerK. A. (2012). Neuropathology of sporadic Parkinson’s disease: evaluation and changes of concepts.Mov. Disord.278–30. 10.1002/mds.23795
37
JeonS. G.KangM.KimY. S.KimD. H.NamD. W.SongE. J.et al (2018). Intrahippocampal injection of a lentiviral vector expressing neurogranin enhances cognitive function in 5XFAD mice.Exp. Mol. Med.50:e461. 10.1038/emm.2017.302
38
JiaL.ZhuM.KongC.PangY.ZhangH.QiuQ.et al (2020). Blood neuro-exosomal synaptic proteins predict Alzheimer’s disease at the asymptomatic stage.Alzheimer’s & Dement.6:78. 10.1002/alz.12166
39
JinL.AnZ.XuB.MuD.FuS.HuH.et al (2019). The association between rs12807809 polymorphism in neurogranin gene and risk of schizophrenia: A meta-analysis.Medicine98:e18518. 10.1097/MD.0000000000018518
40
KesterM. I.TeunissenC. E.CrimminsD. L.HerriesE. M.LadensonJ. H.ScheltensP.et al (2015). Neurogranin as a Cerebrospinal Fluid Biomarker for Synaptic Loss in Symptomatic Alzheimer Disease.JAMA Neurol.721275–1280. 10.1001/jamaneurol.2015.1867
41
KleinR. S.GarberC.HowardN. (2017). Infectious immunity in the central nervous system and brain function.Nat. Immunol.18132–141. 10.1038/ni.3656
42
KoobA. O.ShakedG. M.BenderA.BisquerttA.RockensteinE.MasliahE. (2014). Neurogranin binds alpha-synuclein in the human superior temporal cortex and interaction is decreased in Parkinson’s disease.Brain Res.1591102–110. 10.1016/j.brainres.2014.10.013
43
KovacsG. G. (2016). Molecular Pathological Classification of Neurodegenerative Diseases: Turning towards Precision Medicine.Int. J. Mol. Sci.17:189. 10.3390/ijms17020189
44
KovacsG. G. (2017). Concepts and classification of neurodegenerative diseases.Handb. Clin. Neurol.145301–307. 10.1016/B978-0-12-802395-2.00021-3
45
KranasterL.BlennowK.ZetterbergH.SartoriusA. (2017). Electroconvulsive therapy does not alter the synaptic protein neurogranin in the cerebrospinal fluid of patients with major depression.J. Neural. Transm.1241641–1645. 10.1007/s00702-017-1802-z
46
KvartsbergH.DuitsF. H.IngelssonM.AndreasenN.OhrfeltA.AnderssonK.et al (2015a). Cerebrospinal fluid levels of the synaptic protein neurogranin correlates with cognitive decline in prodromal Alzheimer’s disease.Alzheimers Dement.111180–1190. 10.1016/j.jalz.2014.10.009
47
KvartsbergH.PorteliusE.AndreassonU.BrinkmalmG.HellwigK.LelentalN.et al (2015b). Characterization of the postsynaptic protein neurogranin in paired cerebrospinal fluid and plasma samples from Alzheimer’s disease patients and healthy controls.Alzheimer’s Res. Ther.7:40. 10.1186/s13195-015-0124-3
48
LiT.LiZ.ChenP.ZhaoQ.WangT.HuangK.et al (2010). Common Variants in Major Histocompatibility Complex Region and TCF4 Gene Are Significantly Associated with Schizophrenia in Han Chinese.Biol. Psych.68671–673. 10.1016/j.biopsych.2010.06.014
49
LindsayM. P.NorrvingB.SaccoR. L.BraininM.HackeW.MartinsS.et al (2019). World Stroke Organization (WSO): Global Stroke Fact Sheet 2019.Int. J. Str.14806–817. 10.1177/1747493019881353
50
LiuW.LinH.HeX.ChenL.DaiY.JiaW.et al (2020). Neurogranin as a cognitive biomarker in cerebrospinal fluid and blood exosomes for Alzheimer’s disease and mild cognitive impairment.Transl. Psych.10:125. 10.1038/s41398-020-0801-2
51
LoraA.KohnR.LevavI.McBainR.MorrisJ.SaxenaS. (2012). Service availability and utilization and treatment gap for schizophrenic disorders: a survey in 50 low- and middle-income countries.Bull. World Health Organ.9047–54. 10.2471/BLT.11.089284
52
Martinezde ArrietaC.Perez JuradoL.BernalJ.ColomaA. (1997). Structure, organization, and chromosomal mapping of the human neurogranin gene (NRGN).Genomics41243–249. 10.1006/geno.1997.4622
53
MasliahE. (2001). Recent advances in the understanding of the role of synaptic proteins in Alzheimer’s Disease and other neurodegenerative disorders.J. Alzheimer’s Dis.3121–129. 10.3233/jad-2001-3117
54
MasliahE.MalloryM.AlfordM.DeTeresaR.HansenL. A.McKeelD. W. (2001). Altered expression of synaptic proteins occurs early during progression of Alzheimer’s disease.Neurology56127–129. 10.1212/wnl.56.1.127
55
MavroudisI. A.PetridisF.ChatzikonstantinouS.KazisD. (2019). A meta-analysis on CSF neurogranin levels for the diagnosis of Alzheimer’s disease and mild cognitive impairment.Aging Clin. Exp. Res.28:3146392710.1007/s40520-019-01326-z
56
MonsN.EnderlinV.JaffardR.HigueretP. (2001). Selective age-related changes in the PKC-sensitive, calmodulin-binding protein, neurogranin, in the mouse brain.J. Neurochem.79859–867. 10.1046/j.1471-4159.2001.00646.x
57
PakJ. H.HuangF. L.LiJ.BalschunD.ReymannK. G.ChiangC.et al (2000). Involvement of neurogranin in the modulation of calcium/calmodulin-dependent protein kinase II, synaptic plasticity, and spatial learning: a study with knockout mice.Proc. Natl. Acad. Sci. U S A.9711232–11237. 10.1073/pnas.210184697
58
ParkK.BiedererT. (2013). Neuronal adhesion and synapse organization in recovery after brain injury.Fut. Neurol.8555–567. 10.2217/fnl.13.35
59
PeacockW. F. T.Van MeterT. E.MirshahiN.FerberK.GerwienR.RaoV.et al (2017). Derivation of a Three Biomarker Panel to Improve Diagnosis in Patients with Mild Traumatic Brain Injury.Front. Neurol.8:641. 10.3389/fneur.2017.00641
60
PorteliusE.OlssonB.HoglundK.CullenN. C.KvartsbergH.AndreassonU.et al (2018). Cerebrospinal fluid neurogranin concentration in neurodegeneration: relation to clinical phenotypes and neuropathology.Acta Neuropathol.136363–376. 10.1007/s00401-018-1851-x
61
PorteliusE.ZetterbergH.SkillbäckT.TörnqvistU.AndreassonU.TrojanowskiJ. Q.et al (2015). Cerebrospinal fluid neurogranin: relation to cognition and neurodegeneration in Alzheimer’s disease.Brain1383373–3385. 10.1093/brain/awv267
62
QuinteroM.StanisicD.CruzG.PontesJ. G. M.CostaT.TasicL. (2019). Metabolomic Biomarkers in Mental Disorders: Bipolar Disorder and Schizophrenia.Adv. Exp. Med. Biol.1118271–293. 10.1007/978-3-030-05542-4_14
63
RafiiM. S. (2016). Targeting tau protein in Alzheimer’s disease.Lancet3882842–2844. 10.1016/S0140-6736(16)32107-9
64
RepresaA.DeloulmeJ. C.SensenbrennerM.Ben-AriY.BaudierJ. (1990). Neurogranin: immunocytochemical localization of a brain-specific protein kinase C substrate.J. Neurosci.103782–3792. 10.1523/jneurosci.10-12-03782.1990
65
RopperA. H. (2019). Neurosyphilis.N. Engl. J. Med.3811358–1363. 10.1056/NEJMra1906228
66
RotheneichnerP.LangeS.O’SullivanA.MarschallingerJ.ZaunmairP.GeretseggerC.et al (2014). Hippocampal neurogenesis and antidepressive therapy: shocking relations.Neural. Plast.2014:723915. 10.1155/2014/723915
67
RunneH.KuhnA.WildE. J.PratyakshaW.KristiansenM.IsaacsJ. D.et al (2007). Analysis of potential transcriptomic biomarkers for Huntington’s disease in peripheral blood.Proc. Natl. Acad. Sci. U S A.10414424–14429. 10.1073/pnas.0703652104
68
SantilloA. F.LundgrenS.XuC.OrhanF.Fatouros-BergmanH.BlennowK.et al (2019). Neurogranin as a potential synaptic marker in the cerebrospinal fluid of patients with a first episode psychosis.Schizophr. Res.208490–492. 10.1016/j.schres.2019.01.010
69
ScheffS. W.PriceD. A.SchmittF. A.DeKoskyS. T.MufsonE. J. (2007). Synaptic alterations in CA1 in mild Alzheimer disease and mild cognitive impairment.Neurology681501–1508. 10.1212/01.wnl.0000260698.46517.8f
70
SelnesP.StavA. L.JohansenK. K.BjornerudA.CoelloC.AuningE.et al (2017). Impaired synaptic function is linked to cognition in Parkinson’s disease.Ann. Clin. Transl. Neurol.4700–713. 10.1002/acn3.446
71
SepersM. D.RaymondL. A. (2014). Mechanisms of synaptic dysfunction and excitotoxicity in Huntington’s disease.Drug. Discov. Today.19990–996. 10.1016/j.drudis.2014.02.006
72
SinharayS.HammoudD. A. (2019). Brain PET Imaging: Value for Understanding the Pathophysiology of HIV-associated Neurocognitive Disorder (HAND).Curr. HIV/AIDS Rep.1666–75. 10.1007/s11904-019-00419-8
73
SmithR.BrundinP.LiJ. Y. (2005). Synaptic dysfunction in Huntington’s disease: a new perspective.Cell Mol. Life Sci.621901–1912. 10.1007/s00018-005-5084-5
74
StefanssonH.OphoffR. A.SteinbergS.AndreassenO. A.CichonS.RujescuD.et al (2009). Common variants conferring risk of schizophrenia.Nature460744–747. 10.1038/nature08186
75
SudeshR.PriyadarshiniT.PreetiR.JohnS.TharaR.MowryB.et al (2017). Minor allele C of rs12807809 polymorphism in NRGN contributes to the severity of psychosis in patients with Schizophrenia in South Indian population.Neurosci. Lett.649107–111. 10.1016/j.neulet.2017.04.008
76
SvirskyS.HenchirJ.LiY.MaX.CarlsonS.DixonC. E. (2020). Neurogranin Protein Expression Is Reduced after Controlled Cortical Impact in Rats.J. Neurotrauma.37939–949. 10.1089/neu.2019.6759
77
TarawnehR.D’AngeloG.CrimminsD.HerriesE.GriestT.FaganA. M.et al (2016). Diagnostic and Prognostic Utility of the Synaptic Marker Neurogranin in Alzheimer Disease.JAMA Neurol.73561–71. 10.1001/jamaneurol.2016.0086
78
UttleyL.CarrollC.WongR.HiltonD. A.StevensonM. (2020). Creutzfeldt-Jakob disease: a systematic review of global incidence, prevalence, infectivity, and incubation.Lancet Infect. Dis.20e2–e10. 10.1016/s1473-3099(19)30615-2
79
ValcourV.ChalermchaiT.SailasutaN.MarovichM.LerdlumS.SuttichomD.et al (2012). Central nervous system viral invasion and inflammation during acute HIV infection.J. Infect. Dis.206275–282. 10.1093/infdis/jis326
80
VoraN. M.HolmanR. C.MehalJ. M.SteinerC. A.BlantonJ.SejvarJ. (2014). Burden of encephalitis-associated hospitalizations in the United States, 1998-2010.Neurology82443–451. 10.1212/WNL.0000000000000086
81
WatsonJ. B.BattenbergE. F.WongK. K.BloomF. E.SutcliffeJ. G. (1990). Subtractive cDNA cloning of RC3, a rodent cortex-enriched mRNA encoding a novel 78 residue protein.J. Neurosci. Res.26397–408. 10.1002/jnr.490260402
82
WellingtonH.PatersonR. W.PorteliusE.TornqvistU.MagdalinouN.FoxN. C.et al (2016). Increased CSF neurogranin concentration is specific to Alzheimer disease.Neurology86829–835. 10.1212/Wnl.0000000000002423
83
WinstonC. N.GoetzlE. J.AkersJ. C.CarterB. S.RockensteinE. M.GalaskoD.et al (2016). Prediction of conversion from mild cognitive impairment to dementia with neuronally derived blood exosome protein profile.Alzheimers Dement363–72. 10.1016/j.dadm.2016.04.001
84
YangJ.KorleyF. K.DaiM.EverettA. D. (2015). Serum neurogranin measurement as a biomarker of acute traumatic brain injury.Clin. Biochem.48843–848. 10.1016/j.clinbiochem.2015.05.015
85
YarnallA. J.RochesterL.BurnD. J. (2013). Mild cognitive impairment in Parkinson’s disease.Age Ageing.42567–576. 10.1093/ageing/aft085
86
YilmazA.FuchsD.PriceR. W.SpudichS.BlennowK.ZetterbergH.et al (2019). Cerebrospinal Fluid Concentrations of the Synaptic Marker Neurogranin in Neuro-HIV and Other Neurological Disorders.Curr. HIV/AIDS Rep.1676–81. 10.1007/s11904-019-00420-1
87
ZetterbergH.BlennowK. (2015). Neurogranin Levels in Cerebrospinal Fluid: A New Addition to the Alzheimer Disease Diagnostic Toolbox.JAMA Neurol.721237–1238. 10.1001/jamaneurol.2015.2075
88
ZetterbergH.BurnhamS. C. (2019). Blood-based molecular biomarkers for Alzheimer’s disease.Mol. Brain.12:26. 10.1186/s13041-019-0448-1
89
ZhangM.ZhongX.ShiH.VanmechelenE.De VosA.LiuS.et al (2020). BACE1 and Other Alzheimer’s-Related Biomarkers in Cerebrospinal Fluid and Plasma Distinguish Alzheimer’s Disease Patients from Cognitively-Impaired Neurosyphilis Patients.J. Alzheimers Dis.77(1), 313–322. 10.3233/jad-200362
90
ZhongL.BrownJ.KramerA.KalekaK.PetersenA.KruegerJ. N.et al (2015). Increased prefrontal cortex neurogranin enhances plasticity and extinction learning.J. Neurosci.357503–7508. 10.1523/JNEUROSCI.0274-15.2015
91
ZhongL.CherryT.BiesC. E.FlorenceM. A.GergesN. Z. (2009). Neurogranin enhances synaptic strength through its interaction with calmodulin.EMBO J.283027–3039. 10.1038/emboj.2009.236
Summary
Keywords
neurodegenerative disorder, mental disorder, biomarker, cerebrospinal fluid, neurogranin
Citation
Xiang Y, Xin J, Le W and Yang Y (2020) Neurogranin: A Potential Biomarker of Neurological and Mental Diseases. Front. Aging Neurosci. 12:584743. doi: 10.3389/fnagi.2020.584743
Received
18 July 2020
Accepted
02 September 2020
Published
06 October 2020
Volume
12 - 2020
Edited by
Mark Stecker, Independent Practitioner, Fresno, United States
Reviewed by
Guangming Zhu, Stanford University, United States; Yanxing Chen, Zhejiang University, China
Updates
Copyright
© 2020 Xiang, Xin, Le and Yang.
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: Yongjian Yang, yangyj86570999@sina.com
†These authors have contributed equally to this work
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