Abstract
T2DM is characterized by chronic low-grade metabolic inflammation, and imbalanced macrophage polarization is a key immunological mechanism contributing to insulin resistance (IR), pancreatic β-cell damage, and diabetes progression. Recent studies in immunometabolism suggest that BCAA metabolism regulates macrophage polarization in a context-dependent manner. Physiological BCAA catabolism supports M2-like oxidative metabolism and repair functions, whereas chronic overload of BCAA and its catabolic metabolites in diabetes may promote pro-inflammatory responses through multiple pathways. Disruptions in BCAA metabolism mediate the remodeling of macrophage immunometabolism and polarization imbalance, thereby inducing the onset and progression of metabolic inflammation in diabetes. Accordingly, this study will conduct a systematic literature search in PubMed, Web of Science, and Google Scholar to review the mechanisms by which BCAA metabolic disorders in diabetes mediate the immunometabolic reprogramming of macrophages and regulate the imbalance in M1/M2 polarization. Current evidence suggests that BCAA metabolic dysregulation can drive macrophage metabolic reprogramming through multiple pathways, leading to an imbalance in M1/M2 polarization and promoting diabetes-associated metabolic inflammation. Importantly, interventions including low-BCAA diets, caloric restriction, exercise, activators of BCAA catabolism, PPARγ agonists, berberine, ginsenoside Rb1, mulberry leaf and twig extracts, probiotics, and other gut microbiota-targeted strategies have shown potential to modulate BCAA metabolism, improve insulin sensitivity, and alleviate metabolic inflammation. Therefore, BCAA metabolism may serve as a critical link connecting metabolic dysregulation in diabetes with macrophage immunometabolic reprogramming and chronic inflammatory responses. Targeting BCAA metabolism is expected to provide new multi-target intervention strategies for metabolic inflammation in diabetes.
1 Introduction
In recent years, the global burden of diabetes has continued to rise. According to data from the 11th edition of the Diabetes Atlas published by the International Diabetes Federation (IDF) (Genitsaridi et al., 2026), the global prevalence of diabetes among adults aged 20–79 is projected to rise from 11.11% in 2024 to 12.96% in 2050; over the next 25 years, the global number of people with diabetes is projected to increase by approximately 44.8%. Diabetes has become a chronic metabolic disease with a continuously rising incidence worldwide, and the in-depth exploration of safe and effective intervention strategies and prevention mechanisms has become a critical issue that urgently needs to be addressed in the medical field. Although diabetes is primarily characterized by dysregulated glucose and lipid metabolism, it is also associated with chronic low-grade inflammation, immune-cell infiltration, and increased production of inflammatory mediators. Multiple lines of evidence support the classification of T2DM as a chronic metabolic disease with significant features of “metabolic inflammation” (Pradhan, 2001; Xu et al., 2003; Wang et al., 2013, 2024c). Human overfeeding studies have shown that excess nutrient intake can rapidly impair glucose utilization and insulin signaling (). In individuals with obesity, adipose tissue expansion can lead to local hypoperfusion and hypoxia, which in turn disrupt adipokine secretion, promote macrophage recruitment and infiltration into adipose tissue, and increase the expression of inflammatory genes (Ye et al., 2007; ). These findings suggest that the abnormal activation of immune cells induced by metabolic stressors such as overnutrition and tissue hypoxia is a common pathological factor in the formation of the inflammatory microenvironment in diabetes. Existing clinical studies have found that while anti-inflammatory therapy alone can improve certain inflammatory markers and short-term glucose metabolism parameters, its effects are limited (Sloan-Lancaster et al., 2013; ). Although anti-inflammatory interventions can modulate certain downstream inflammatory pathways in the pathological process of diabetes, they struggle to fundamentally correct the upstream pathological network constituted by overnutrition, substrate metabolism disorders, and abnormal immune cell activation. Therefore, targeting upstream metabolic abnormalities while modulating the associated inflammatory pathways may provide a novel therapeutic strategy for the prevention and treatment of diabetes.
Macrophages are one of the most plastic cell populations in the innate immune system and are widely distributed in metabolic and immune-related tissues such as adipose tissue, the liver, blood vessel walls, the intestine, the islets of Langerhans, and joints (Gordon and Plüddemann, 2017; Locati et al., 2020). They not only participate in pathogen clearance, antigen presentation, and the amplification of inflammatory responses but also contribute to the resolution of inflammation, tissue repair, angiogenesis, and fibrosis (Sheu and Hoffmann, 2022; Siebeler et al., 2023). Depending on microenvironmental stimuli, macrophages can exhibit a continuum of functional states, with classically activated M1-like and alternatively activated M2-like states serving as widely used conceptual models (Murray et al., 2014). M1-like macrophages possess pro-inflammatory, bactericidal, and tissue damage-amplifying functions. They are typically induced by lipopolysaccharide (LPS), interferon-γ (IFN-γ), and tumor necrosis factor-α (TNF-α), and are characterized by the expression of cluster of differentiation (CD) 86, inducible nitric oxide synthase/nitric oxide synthase 2 (iNOS/NOS2), major histocompatibility complex class II molecules (MHC-II), interleukin (IL)-1β, IL-6, TNF-α, and other molecules. In contrast, M2-like macrophages are primarily induced by IL-4, IL-13, IL-10, and transforming growth factor-β (TGF-β), and are characterized by the upregulation of arginase 1 (Arg1), CD206, CD163, and IL-10. They are involved in inflammation resolution, tissue remodeling, and repair responses (Sica and Mantovani, 2012; Shapouri‐Moghaddam et al., 2018). However, macrophages in diseased tissues in vivo cannot be strictly classified into these two categories; rather, they form a dynamic continuum shaped by local nutrient availability, oxygen tension, lipid burden, damage-associated molecular patterns, and cytokine networks. Consequently, the M1/M2 model is understood as a simplified framework for the plasticity of macrophage function (Murray et al., 2014; Viola et al., 2019). Multiple studies have found (; Zhang et al., 2025a) that the diabetic microenvironment can induce a shift of macrophages toward the M1 phenotype, exacerbating inflammatory responses and driving IR and damage to pancreatic β-cells.
Immunometabolic reprogramming has emerged as a central frontier in the interdisciplinary field of immunology, metabolic medicine, and inflammatory biology in recent years (Mathis and Shoelson, 2011). While cellular metabolism primarily supplies immune cells with ATP and biosynthetic substrates, immunometabolism has further revealed that metabolic pathways, enzymes, and intermediates themselves can directly regulate immune cell differentiation, polarization, cytokine expression, and epigenetic states (Jha et al., 2015; Lee, 2026). Macrophage polarization is closely coupled with glycolysis, tricarboxylic acid (TCA) cycle, oxidative phosphorylation (OXPHOS), fatty acid metabolism, amino acid metabolism, and mitochondrial function (O’Neill et al., 2016). BCAAs, including leucine, isoleucine, and valine, are important metabolic substrates whose catabolic pathways, associated enzymes, and metabolic intermediates can influence immunometabolic reprogramming. Dysregulation of BCAA metabolism may therefore contribute to the regulation of macrophage activation and phenotypic and functional transitions (Mehla and Singh, 2019; Lu et al., 2024). Studies have shown that leucine catabolism yields end products such as acetyl-CoA and acetoacetate. By replenishing the TCA cycle and regulating the levels of metabolic intermediates such as α-ketoglutarate (α-KG), these processes reshape macrophage metabolic flux, inflammatory signaling, and epigenetic status, thereby reprogramming their activation process (Hutson et al., 2001). Elevated circulating BCAA levels are considered an early and potentially predictive metabolic hallmark of diabetes (Vanweert et al., 2022). High levels of BCAAs promote M1 polarization of macrophages and increase pro-inflammatory cytokines in adipose tissue, thereby leading to IR (Huang et al., 2024). Thus, BCAA dysregulation often precedes IR and serves as a key upstream initiator of immune-metabolic imbalance in the body. In the pathological microenvironment of diabetes, factors such as nutritional excess and tissue hypoxia can further exacerbate BCAA catabolic dysfunction, leading to the persistent accumulation of BCAA and their derivatives. The resulting metabolic disturbance may induce macrophage immunometabolic reprogramming, promote polarization toward a pro-inflammatory M1-like phenotype, and suppress polarization toward an anti-inflammatory, reparative M2-like phenotype, thereby disrupting systemic immune homeostasis (; Huang et al., 2024). This imbalance in macrophage polarization, mediated by BCAA metabolic dysfunction, leads to the sustained release of large amounts of pro-inflammatory factors, amplifying local and systemic low-grade chronic inflammation. This further exacerbates IR and impairs pancreatic β-cell function, ultimately driving the onset and progression of diabetes and its complications.
Based on this, we propose that BCAA metabolic dysregulation may drive an imbalance in macrophage polarization by modulating immunometabolic reprogramming, thereby contributing to the onset and progression of metabolic inflammation in diabetes. However, the current body of evidence linking BCAA metabolism, immunometabolic reprogramming, macrophage polarization, and diabetes remains incomplete. Existing studies have largely focused on relatively independent, single-pathway mechanisms, such as BCAA metabolism and diabetes onset, macrophage polarization and metabolic inflammation in diabetes, as well as BCAA-mediated macrophage polarization. However, they lack a systematic integration of the intrinsic connections among these components. Based on the current state of research, this paper uses PubMed, Web of Science, and Google Scholar as search databases to collect relevant literature published from the inception of these databases through May 2026. Focusing on the interdisciplinary fields of BCAA metabolism, immunometabolic reprogramming, macrophage polarization, and metabolic inflammation in diabetes, this study systematically examines the molecular regulatory mechanisms underlying BCAA catabolic dysregulation in the pathological state of diabetes. This study provides the first systematic summary of the complete molecular mechanism by which BCAA catabolic dysregulation regulates macrophage polarization through immunometabolic reprogramming. Additionally, it moves beyond previous studies focused on single intervention methods to systematically summarize intervention strategies that target BCAA metabolism to regulate macrophage polarization and metabolic inflammation in diabetes. The aim is to provide new research insights for interventions targeting metabolic inflammation in diabetes by regulating BCAA metabolism.
2 Characteristics and molecular mechanisms of BCAA metabolic dysregulation in diabetes
2.1 Physiological metabolic pathways of BCAA
BCAA is an essential amino acid for the human body; it serves not only as a substrate for protein synthesis but also as an important regulator of nutrient sensing, energy metabolism, and cellular signal transduction (Neinast et al., 2019). The catabolism of BCAA primarily involves two initial steps. The first step is transamination, in which BCAA, catalyzed by branched-chain aminotransferase (BCAT), typically transfer their amino groups to α-KG, which acts as the amino acceptor to form glutamate and the corresponding branched-chain α-keto acids (BCKAs) (Hutson et al., 2005). The second step is an irreversible oxidative decarboxylation reaction, catalyzed by the branched-chain α-keto acid dehydrogenase complex (BCKDH/BCKD) in the mitochondria. This reaction converts the three BCKAs into their corresponding branched-chain acyl-CoA derivatives, releases CO2, and generates reducing equivalents (Reifenberg and Zimmer, 2024). The activity of the BCKDH/BCKD complex is regulated by phosphorylation: BCKDK phosphorylates BCKDHA (the E1α subunit of the BCKDH/BCKD complex), thereby inhibiting BCKDH/BCKD activity, while the phosphatase PPM1K, also known as PP2Cm, can dephosphorylate and activate the BCKDH/BCKD complex (White et al., 2018). Research suggests that BCAA catabolism exhibits marked tissue specificity (Mu et al., 2023). Unlike most amino acids, which undergo primarily hepatic first-pass metabolism, BCAAs undergo relatively little hepatic first-pass metabolism, and peripheral tissues such as skeletal muscle, adipose tissue, heart, and brown adipose tissue make significant contributions to BCAA clearance (Holeček, 2018). Herman et al. (2010) demonstrated that adipose tissue has the ability to regulate circulating BCAA levels, and that downregulation of BCAA oxidase expression in adipose tissue under conditions of obesity and IR may affect circulating BCAA levels. SLC25A44 is a mitochondrial BCAA transporter identified in recent years. Yoneshiro et al. (2019) found that brown adipose tissue can utilize BCAAs for mitochondrial catabolism and thermogenesis during cold exposure; SLC25A44 mediates the entry of BCAAs into mitochondria and plays a crucial role in BCAA clearance and the regulation of energy homeostasis in brown adipose tissue. Furthermore, in immune cells, BCAA metabolism also plays a role in regulating macrophage function. Studies have shown (Lu et al., 2024) that BCAA metabolism is one of the metabolic pathways significantly reprogrammed in IL-4-induced M2 macrophages; BCAA supplementation promotes M2 macrophage polarization and enhances oxidative phosphorylation levels, whereas knockdown of SLC25A44, BCAT2, or BCKDHA inhibits M2 macrophage polarization. These findings suggest that, under physiological conditions, BCAA catabolism provides important metabolic support for the oxidative metabolism and reparative functions of M2-like macrophages during alternative macrophage activation.
2.2 Pathological characteristics of BCAA metabolic dysregulation in diabetes
Numerous studies have shown that elevated circulating BCAA levels are one of the key metabolic hallmarks of IR and T2DM (Newgard et al., 2009; Flores-Guerrero et al., 2018; Rivas-Tumanyan et al., 2024). Zhao et al. (2016) conducted a systematic review including 23 studies and 20,091 participants and reported that BCAA may serve as useful biomarkers for IR and subsequent diabetes risk. A Mendelian randomization study found that genetically predicted impaired BCAA breakdown was associated with an increased risk of T2DM, suggesting that BCAA metabolic defects may play a causal role (Lotta et al., 2016). Another study indicated that genetically predicted IR can lead to elevated circulating BCAA levels (Mahendran et al., 2017). Furthermore, a Mendelian randomization study clearly demonstrated that IR directly affects BCAA metabolism and inflammatory responses. It suggests that BCAA metabolism is a link in the causal pathway from obesity and IR to T2DM (Wang et al., 2017). In diabetes or IR, the decreased BCAA catabolic flux is closely associated with reduced BCAT activity and inhibition of the BCKD/BCKDH complex (White et al., 2018; ). When PPM1K expression or activity is reduced, insufficient dephosphorylation of the BCKD/BCKDH complex leads to decreased oxidative decarboxylation activity, which impedes the conversion of BCKA to the corresponding branched-chain acyl-CoA, thereby promoting BCKA accumulation and disrupting BCAA catabolism (Lu et al., 2009; Nishi et al., 2023). Concurrently, incomplete BCAA downstream oxidation or increased mitochondrial metabolic stress may be accompanied by alterations in abnormal metabolites such as 3-HIB and C3/C5 branched-chain acylcarnitines (). found that BCAAs and their ketoacid derivatives, particularly α-ketoisocaproate (KIC), can inhibit insulin-stimulated glucose uptake in muscle cells and impair IRS1/AKT signaling. C3 and C5 acylcarnitines are common branched-chain acylcarnitines (BCACs) produced by BCAA catabolism. Elevated levels of C3 and C5 acylcarnitines indicate increased BCAA catabolic flux or insufficient downstream mitochondrial oxidative capacity, leading to the accumulation of BCAA-derived acyl-CoA intermediates in the form of acylcarnitines (Newgard et al., 2009; ). found that C3 and C5 acylcarnitines cluster with BCAAs to form a metabolic signature associated with IR. 3-HIB is a metabolite of valine. Studies have shown that it is secreted by muscle cells, promotes endothelial fatty acid transport, increases fatty acid uptake and lipid accumulation in skeletal muscle, and induces IR (Jang et al., 2016; Nilsen et al., 2020). The reduced ability to metabolize BCAAs in skeletal muscle, liver, and adipose tissue is considered one of the key pathophysiological features of IR and T2DM. found that inflammation and endoplasmic reticulum stress can downregulate the expression of BCAA metabolism-related genes in adipocytes, suggesting that the inflammatory microenvironment associated with obesity can directly impair BCAA metabolism in adipose tissue. Research by indicates that BCAA catabolism in skeletal muscle can influence systemic BCAA levels; however, reducing fasting plasma BCAA levels alone is insufficient to improve insulin sensitivity. Shin et al. (2014) demonstrated that insulin action in the brain reduces circulating BCAA and induces hepatic BCKDH expression and activity, whereas IR in obesity and prediabetes impairs this regulation. Current evidence suggests that BCAA metabolism plays a context-dependent role in macrophage polarization. Under physiological conditions, BCAA catabolism plays an important role in supporting macrophage polarization toward an M2-like phenotype. Under pathological conditions such as diabetes and obesity, however, chronic BCAA accumulation and impaired BCAA catabolism may lead to BCKA overload, including KIC accumulation, increased 3-HIB levels, and incomplete oxidation of BCAA-derived metabolites, thereby promoting pro-inflammatory responses through multiple pathways. The characteristics of BCAA catabolism under physiological and diabetic conditions are shown in Figure 1.
Figure 1
2.3 Molecular mechanisms regulating BCAA metabolic abnormalities in diabetes
Mechanistic target of rapamycin complex 1 (mTORC1) serves as a central signaling hub that senses BCAA availability and coordinates cellular metabolism, while its dysregulation contributes to metabolic abnormalities. BCAA, particularly leucine, can activate the mTORC1 signaling pathway, while chronic overnutrition and sustained mTORC1/S6K1 activation contribute to IR by inhibiting insulin receptor substrate signaling (Yoon, 2016). Studies have explicitly demonstrated that BCAA-induced activation of mTORC1 is a key mechanism linking BCAA to IR. In a study of mouse hearts, Zhen et al. (2016) found that rapamycin-mediated inhibition of mTORC1 significantly suppressed leucine-induced BCKDH activation, suggesting that mTORC1 participates in the regulation of the BCKDH complex, the rate-limiting enzyme in BCAA catabolism. Furthermore, the study suggests that chronic inflammation, lipid overload, and endoplasmic reticulum stress in states of obesity and diabetes can further suppress the expression of genes and enzymes related to BCAA catabolism, such as BCAT, BCKDHA, BCKDHB (the β subunit of the E1 component of the BCKDH complex), DBT (the E2 transacylase subunit of the BCKDH complex), DLD (the E3 dihydrolipoamide dehydrogenase subunit of the BCKDH complex), and PPM1K, thereby reducing BCAA oxidative catabolism capacity and promoting the continuous accumulation of BCAA/BCKA and their derivative metabolites (). Concurrently, 3-HIB, a byproduct of abnormal BCAA metabolism, can exacerbate lipid mislocalization and lipotoxic damage in skeletal muscle by promoting endothelial fatty acid transport. By enhancing endothelial fatty acid transport and increasing lipid uptake in skeletal muscle, 3-HIB may provide a mechanistic link between BCAA metabolic dysregulation, lipid overload, and skeletal muscle IR (Jang et al., 2016). Furthermore, signal transducer and activator of transcription 1 (STAT1), as a key transcription factor, enters the nucleus following phosphorylation by receptor-associated kinases to regulate the expression of immune-related genes (Hu et al., 2021). Studies have shown that STAT1 acts as a “transcriptional hub for pro-inflammatory polarization” during abnormal BCAA metabolism. This is because elevated BCAA levels lead to increased phosphorylation of interferon gamma receptor 1 (IFNGR1), janus kinase 1 (JAK1), and STAT1 in adipose tissue macrophages, accompanied by elevated iNOS and M1-like polarization (Huang et al., 2024). NF-κB is a key transcriptional regulator of inflammatory signal transduction, cytokine release, inflammasome activation, and M1-like polarization in monocytes/macrophages (Mussbacher et al., 2023). Studies have shown that it primarily amplifies inflammatory effects during BCAA catabolism. High concentrations of BCAAs can promote the release of inflammatory molecules such as IL-6 and TNF-α in peripheral blood mononuclear cells through the activation of AKT-mTORC1, reactive oxygen species (ROS), and NF-κB (Zhenyukh et al., 2017). Therefore, the molecular basis of BCAA metabolic abnormalities in diabetes primarily includes reduced expression or activity of BCAA-degrading enzymes, abnormal phosphorylation regulation of the BCKDH/BCKD complex, suppression of BCAA-degrading genes by inflammation and endoplasmic reticulum stress, mitochondrial metabolic dysfunction, and excessive activation of pro-inflammatory signaling pathways such as mTORC1, STAT1, and NF-κB.
Table 1 summarizes the key molecules involved in BCAA metabolism and their functional relevance to macrophage polarization and diabetic metabolic inflammation.
Table 1
| Molecule or node | Category | Function in BCAA metabolism | Relevance to macrophage polarization or diabetic inflammation | References |
|---|---|---|---|---|
| BCAT (BCAT1/BCAT2) | Enzyme | Catalyzes transamination of BCAAs to BCKAs | BCAT2 knockdown inhibits M2 macrophage polarization; involved in altered BCAA catabolism in obesity/IR | (Hutson et al., 2005; ; Lu et al., 2024) |
| BCKDH / BCKD complex (BCKDHA/BCKDHB/DBT/DLD) | Enzyme complex | Irreversible oxidative decarboxylation of BCKAs to acyl-CoAs | Impaired activity leads to BCAA accumulation, contributes to IR and metabolic inflammation | (Lu et al., 2009; Shin et al., 2014; ; Zhen et al., 2016; White et al., 2018; Nishi et al., 2023; Reifenberg and Zimmer, 2024) |
| BCKAs | Metabolites | Products of BCAA transamination | Accumulation reflects impaired BCAA catabolism and may worsen IR | (Hutson et al., 2005; ; Nishi et al., 2023) |
| α-KG | Amino-group acceptor / TCA intermediate | Accepts amino groups from BCAAs | Links BCAA transamination with TCA metabolism; regulation of macrophage activation | (Hutson et al., 2005) |
| KIC | Leucine-derived BCKA | Leucine-derived keto acid | Inhibits insulin-stimulated glucose uptake and IRS1/AKT signaling | () |
| Glutamate | Product of transamination | Generated from α-KG during transamination | Reflects BCAA transamination | (Hutson et al., 2005) |
| BCKDK | Kinase | Phosphorylates and inhibits BCKDH | Overactivation suppresses BCAA catabolism, exacerbating IR | (White et al., 2018) |
| PPM1K (PP2Cm) | Phosphatase | Dephosphorylates and activates BCKDH | Deficiency impairs BCAA catabolism; linked to IR and diabetic metabolic dysfunction | (Lu et al., 2009; ; White et al., 2018; Nishi et al., 2023) |
| SLC25A44 | Mitochondrial transporter | Mediates BCAA transport into mitochondria | Essential for M2 macrophage polarization and BCAA catabolism in brown adipose tissue | (Yoneshiro et al., 2019; Lu et al., 2024) |
| mTORC1 | Signaling hub | Senses leucine/BCAA levels; regulates BCAA catabolism | Chronic activation contributes to IR via inhibition of insulin signaling; mediates inflammation | (Yoon, 2016; Zhen et al., 2016) |
| STAT1 | Transcription factor | Regulates immune-related gene expression | Acts as hub for pro-inflammatory M1 polarization under elevated BCAA conditions | (Hu et al., 2021; Huang et al., 2024) |
| NF-κB | Transcription factor | Regulates inflammatory cytokines | Amplifies inflammatory response during BCAA dysregulation; promotes M1 polarization | (Zhenyukh et al., 2017; Mussbacher et al., 2023) |
| 3-HIB | Metabolite (valine-derived) | Intermediate of valine catabolism | Promotes endothelial FA transport, lipid accumulation in muscle, induces insulin resistance | (Jang et al., 2016; Nilsen et al., 2020; ) |
| C3 and C5 acylcarnitines | Metabolite | Reflect BCAA catabolism / incomplete oxidation | Associated with IR | (Newgard et al., 2009; ; ; ) |
Key molecules involved in BCAA metabolism and their functional relevance to macrophage polarization and diabetic metabolic inflammation.
3 mechanistic study of how BCAA metabolic dysregulation mediates metabolic reprogramming and polarization imbalance in macrophages
BCAAs not only serve as important substrates for protein synthesis and energy metabolism but also participate in the metabolic reprogramming and functional activation of macrophages. Current research suggests that the effects of BCAAs on macrophage phenotype and function are highly tissue- and stimulus-dependent. At the tissue level, mononuclear macrophages infiltrating adipose tissue are most sensitive to BCAA accumulation; pathological BCAA accumulation can strongly drive M1 polarization and suppress the M2 reparative phenotype (Huang et al., 2024); in the liver, BCAA exposure alone only slightly alters the macrophage phenotype, but when co-stimulated with endotoxin (LPS), BCAA accumulation can significantly amplify the pro-inflammatory transcriptional program in hepatic macrophages (); intestinal mucosal macrophages, in turn, regulate intestinal inflammatory homeostasis through the synergistic interaction between the microbiota and BCAA (). During skeletal muscle injury repair, BCAA first enhances the function of inflammatory macrophages during the damage clearance and cell proliferation phases, and subsequently enhance the function of reparative macrophages during the phases of inflammation resolution, myocyte differentiation, and tissue remodeling (). From a stimulus-dependent perspective, BCAAs do not exert uniformly pro-inflammatory or anti-inflammatory effects; rather, they act as nutrient-sensing signals and metabolic substrates that modulate pre-existing macrophage activation programs. In LPS-induced pro-inflammatory activation, BCAA can enhance the mTORC1–HIF-1α–glycolysis signaling pathway, further increasing the expression of M1-associated genes (); in the context of BCAA accumulation, the IFNGR1/JAK1/STAT1 pathway also contributes to the pro-inflammatory shift in adipose tissue macrophages (Huang et al., 2024).In contrast, during IL-4-driven alternative activation, mitochondrial BCAA transport and the degradation processes mediated by BCAT2 and BCKDHA support oxidative metabolism and the expression of M2-associated genes (Lu et al., 2024). Thus, BCAA dysregulation serves as a condition-dependent metabolic switch regulating macrophage polarization, with tissue-specific metabolic characteristics and the type of exogenous stimulus jointly determining whether the final outcome leans toward pro-inflammatory M1 or anti-inflammatory M2 repair. Based on this, the present study summarizes the mechanisms by which BCAA metabolic dysregulation mediates macrophage immunometabolic reprogramming and polarization imbalance as follows:
3.1 The BCAA-mTORC1-HIF-1α-glycolysis axis promotes M1-like pro-inflammatory metabolic reprogramming
BCAAs are key upstream signals in the mTORC1 nutrient-sensing pathway, with leucine playing a particularly prominent role in activating mTORC1 (). In macrophages, leucine uptake mediated by SLC7A5 (a large neutral amino acid transporter located on the cell membrane) has been shown to induce glycolytic reprogramming via mTORC1 and promote the production of pro-inflammatory factors (Kandasamy et al., 2018). In a study of human macrophages, Yoon et al. (2018) found that LPS stimulation induced SLC7A5 expression; whereas pharmacological inhibition or silencing of SLC7A5 reduced leucine-mediated mTORC1 activation, lowered the extracellular acidification rate, and significantly decreased IL-1β production. This study provides direct experimental evidence that leucine activates mTORC1, induces glycolytic reprogramming, and promotes M1-like pro-inflammatory metabolism. Hypoxia-inducible factor-1 alpha (HIF-1α), a central transcriptional regulator in cellular adaptation to hypoxia and metabolic stress, promotes glycolytic metabolism and enhances M1-like pro-inflammatory function (). Further studies have indicated that mTORC1, as a nutrient-sensing complex, can induce metabolic reprogramming in an HIF-1α-dependent manner. Activation of mTORC1 upregulates the expression of genes involved in glycolysis, thereby driving cells toward a glycolytic phenotype and promoting the expression of glycolytic enzymes and pro-inflammatory mediators (; ). Huang et al. (2024) found in mice fed a high-BCAA diet that 16 weeks of BCAA supplementation increased levels of IL-1β, TNF-α, and MCP-1 in adipose tissue; simultaneously, the proportion of CD206+ cells decreased while the proportion of CD86+ cells increased in adipose tissue macrophages, suggesting that BCAA supplementation promoted a shift in adipose tissue macrophages from an anti-inflammatory to a pro-inflammatory phenotype. The study also demonstrated enhanced iNOS signaling in adipose tissue macrophages in the high-BCAA group, further supporting their M1-like pro-inflammatory polarization. Therefore, BCAAs, particularly leucine, can act as nutritional signals that enter macrophages via SLC7A5 and promote glycolytic reprogramming and the production of inflammatory factors through mTORC1; the mTORC1-HIF-1α-glycolysis pathway is a key mechanism underlying M1-like pro-inflammatory metabolic reprogramming.
3.2 Impaired BCAA catabolism disrupts the TCA cycle and OXPHOS, suppressing the M2-like repair phenotype
The carbon skeletons generated during BCAA catabolism can be converted into acetyl-CoA, acetoacetate, or succinyl-CoA. These metabolites contribute to the TCA cycle either directly or after further conversion, thereby generating reducing equivalents in the form of nicotinamide adenine dinucleotide (NADH) and flavin adenine dinucleotide (FADH2) to support mitochondrial OXPHOS and ATP synthesis (Huang et al., 2014; Kieler et al., 2021). M2-like macrophages possess a relatively intact TCA cycle and strong OXPHOS characteristics. Studies indicate that M1 activation inhibits mitochondrial OXPHOS in macrophages and impedes their repolarization to the M2 phenotype; restoring mitochondrial function facilitates the reprogramming of pro-inflammatory macrophages to an anti-inflammatory phenotype (). Direct experimental evidence supports the involvement of BCAA catabolism in M2 polarization. Lu et al. (2024) found that BCAAs are transported into mitochondria by SLC25A44 and subsequently transaminated by BCAT2 to generate branched-chain α-keto acids (BCKAs). The resulting BCKAs undergo oxidative decarboxylation by the BCKDH complex, ultimately contributing to the production of acetyl-CoA and succinyl-CoA. These metabolites support TCA cycle activity and promote the generation of NADH and FADH2 to fuel OXPHOS. In parallel, acetyl-CoA serves as a substrate for histone acetylation, thereby promoting the transcription of M2-associated genes in bone marrow-derived macrophages. When the expression of key molecules involved in BCAA breakdown (SLC25A44, BCAT2, BCKDHA) is downregulated or their function is impaired, mitochondrial BCAA substrate supply is insufficient, leading to reduced production of acetyl-CoA and succinyl-CoA. This directly reduces TCA cycle flux, suppresses OXPHOS and ATP synthesis. In parallel, reduced acetyl-CoA availability decreases histone acetylation, thereby repressing the transcription of M2-associated anti-inflammatory and reparative genes, including Arg1 and Mrc1, the latter of which encodes CD206, and ultimately inhibiting M2-like macrophage polarization (Lu et al., 2024). Therefore, the role of BCAA catabolism in supporting the M2-like reparative phenotype depends on mitochondrial transport and oxidative degradation processes; knockdown of SLC25A44, BCAT2, and BCKDHA inhibits M2-like macrophage polarization. Impaired BCAA catabolism in diabetic or obese states disrupts the mitochondrial metabolic foundation required for M2 polarization by impairing TCA cycle replenishment and OXPHOS capacity.
3.3 BCKA, 3-HIB, and BCAC-mediated lipotoxic inflammation and macrophage activation
BCKAs are the direct products of BCAA transamination catalyzed by BCAT enzymes, and their subsequent oxidative decarboxylation depends on the BCKDH complex. Liu et al. (2021) found that BCKDH activity was reduced in multiple organs of db/db diabetic mice, thereby impairing BCKA oxidation and clearance. Long-term accumulation of BCKA significantly exacerbates inflammation and organ damage. This was evidenced by elevated levels of MCP-1 and IL-6 in serum; upregulated mRNA expression of IL-1β, IL-6, and MCP-1 in liver, kidney, and skeletal muscle tissues; increased protein expression of IL-1β and IL-6 in liver and kidney tissues; and increased infiltration of F4/80+ macrophages in liver and kidney tissues. This study suggests that BCKA accumulation exacerbates macrophage inflammatory activation, oxidative stress, and chronic liver and kidney damage in the context of diabetes. 3-HIB can be secreted by myocytes and act as a paracrine signal that promotes endothelial fatty acid transport, thereby increasing fatty acid uptake by skeletal muscle and intramuscular lipid accumulation. Jang et al. (2016) found that 3-HIB induces the accumulation of triacylglycerols and diacylglycerols, promotes PKC-θ membrane translocation, and inhibits AKT phosphorylation, ultimately leading to impaired glucose tolerance and lipotoxic IR. Therefore, 3-HIB may serve as a key metabolic mediator linking BCAA metabolic abnormalities, lipotoxic damage, and the inflammatory microenvironment of diabetes, providing a pathological basis for macrophage recruitment and pro-inflammatory activation. BCACs are common metabolic markers of incomplete BCAA and fatty acid oxidation. In rat experiments, Newgard et al. (2009) found that a high-fat diet supplemented with BCAAs led to the accumulation of C3 and C5 acylcarnitines and other acylcarnitine species in skeletal muscle. These metabolic alterations were accompanied by activation of mTOR/S6K1 and JNK signaling, increased serine phosphorylation of IRS1, and impaired insulin-stimulated AKT phosphorylation. Importantly, rapamycin ameliorated insulin resistance and attenuated the inflammatory response in this model.
3.4 The BCAA-mitochondrial ROS-endoplasmic reticulum stress-NLRP3 inflammasome axis amplifies pro-inflammatory responses
There is a close link between mitochondrial ROS and pro-inflammatory activation of macrophages. In an atherosclerosis model, Zhao et al. (2023) found that elevated BCAA levels promoted the pro-inflammatory activation of macrophages. Specifically, excess BCAAs induced mitochondria-to-nucleus H2O2 signaling, which promoted the formation and secretion of disulfide HMGB1 and thereby triggered an inflammatory cascade in mouse peritoneal macrophages. However, scavenging H2O2 with a nuclear-targeted peroxidase inhibited BCAA-induced macrophage inflammation. The NLRP3 inflammasome is a key inflammatory amplifier in the chronic inflammation associated with obesity, IR, and T2DM (Vandanmagsar et al., 2011). Litwiniuk et al. (2021) noted that obesity-related inflammatory factors promote inflammasome complex formation and lead to the maturation and release of pro-inflammatory cytokines such as IL-1β and IL-18. Lv et al. (2021) further found that endoplasmic reticulum stress (ERS) activated the NLRP3 inflammasome by increasing mitochondrial ROS production, disrupting calcium homeostasis, and activating the unfolded protein response (UPR), thereby promoting the maturation of IL-1β and IL-18. This represents a key mechanism underlying the development of chronic inflammation and IR in diabetes. Therefore, we hypothesize that BCAA accumulation induces excessive mitochondrial ROS production, which in turn triggers endoplasmic reticulum stress. This, through calcium homeostasis disruption and UPR signaling, activates the NLRP3 inflammasome, amplifies the release of pro-inflammatory factors, and collectively drives chronic inflammation and IR in diabetes.
3.5 BCAA mediates inflammatory pathways such as IFNGR1/JAK1/STAT1 and NF-κB to maintain M1-like polarization
The IFNGR1/JAK1/STAT1 signaling axis is a key component of IFN-γ-mediated classical macrophage activation. Upon IFN-γ binding to the IFN-γ receptor complex, receptor-associated JAK kinases are activated and phosphorylate the receptor subunits, thereby creating docking sites for STAT1. STAT1 is subsequently phosphorylated, dimerizes, and translocates to the nucleus, where it induces the transcription of IFN-γ-responsive genes. IFN-γ can induce macrophage activation toward the M1 phenotype in a STAT1-dependent manner and promote inflammatory immune responses; the IFN-γ/STAT1 pathway also regulates Toll-like receptor (TLR) signaling, inflammatory factors, and cytokine responses associated with tissue damage (Schroder et al., 2004; ). In a study investigating the effects of high BCAA levels on the pro-inflammatory polarization of macrophages, the results showed that high BCAA supplementation increased IFNGR1 protein expression in adipose tissue macrophages but did not increase IFNGR2 expression. Concurrently, high-BCAA supplementation increased the p-JAK1/JAK1 and p-STAT1/STAT1 ratios and elevated iNOS expression, indicating activation of the IFNGR1/JAK1/STAT1 pathway and macrophage polarization toward a pro-inflammatory phenotype. Furthermore, the study validated through IFNGR1 silencing experiments that IFNGR1 is a key target for high-BCAA stimulation-induced inflammation in adipose tissue and pro-inflammatory macrophage polarization (Huang et al., 2024). Nuclear factor-κB (NF-κB) is a central transcription factor in the inflammatory response of macrophages. Pathogen-associated molecular patterns (PAMPs) and damage-associated molecular patterns (DAMPs) activate TLRs and other pattern-recognition receptors, leading to the recruitment of adaptor proteins such as myeloid differentiation primary response protein 88 (MyD88) and TIR-domain-containing adapter-inducing interferon-β (TRIF). These signaling events activate transforming growth factor-β-activated kinase 1 (TAK1) and the IκB kinase (IKK) complex, resulting in the phosphorylation and proteasomal degradation of inhibitor of NF-κB α (IκBα). This allows NF-κB to enter the cell nucleus and induce the expression of inflammatory genes (Lawrence, 2009). In the aforementioned study, RNA-seq and GSEA data revealed that TNF-α signaling via the NF-κB pathway was significantly enriched in macrophages following high BCAA supplementation; protein expression of IL-1β, TNF-α, and MCP-1 was significantly elevated in adipose tissue, and the proportion of CD86+ pro-inflammatory macrophages increased. Therefore, the study suggests that under conditions of high BCAA levels, the transcriptional profiles of macrophages exhibit an enrichment of the pro-inflammatory IFN-γ/JAK/STAT and TNF-α/NF-κB pathways, accompanied by an enhanced M1-like phenotype. Tang et al. (2026) also found that systemic BCAA accumulation activated the mTORC1–NF-κB inflammatory signaling cascade, upregulated pro-inflammatory mediators such as IL-1β, TNF-α, and MCP-1 in macrophages, and drove macrophages toward a CD86+/iNOS+ M1-like pro-inflammatory phenotype.
See Figure 2 for a schematic diagram illustrating the overall mechanism by which BCAA metabolic dysregulation mediates the metabolic reprogramming and polarization imbalance of macrophages.
Figure 2
4 Intervention strategies targeting BCAA metabolism to regulate macrophage polarization and diabetic metabolic inflammation
4.1 Low-BCAA diets and calorie restriction
A low-BCAA diet is currently one of the most direct nutritional interventions; its core mechanism involves reducing the exogenous BCAA load, thereby improving metabolic disorders associated with obesity and IR (). Based on evidence linking elevated BCAA levels and T2DM, Fontana et al. (2016) conducted calorie-controlled experiments in mice and a randomized controlled trial in humans. Their results demonstrated that a diet specifically restricted in BCAAs significantly improved glucose tolerance and enhanced insulin sensitivity and that these effects were independent of calorie restriction. Building on their previous findings that dietary BCAA restriction reduced adipose tissue accumulation and adipocyte hypertrophy and improved insulin resistance, Liu et al. (2022) conducted a detailed mechanistic investigation. The study showed that a high-fat diet reduced the abundance of M2-like macrophages in adipose tissue, whereas dietary BCAA restriction prevented this decline, suggesting that limiting BCAA intake may preserve M2-like macrophage polarization under conditions of metabolic inflammation. Zhang et al. (2025b) also found that in mice with high-fat diet-induced obesity, long-term dietary BCAA restriction slightly improved blood glucose and lipid levels and reduced macrophage infiltration in adipose tissue along with the expression of pro-inflammatory factors (TNF-α, IL-1β, IL-6); however, the beneficial effects of this intervention were limited and not statistically significant.
4.2 Exercise Intervention
Existing research indicates that the beneficial effects of exercise on BCAA metabolism are primarily reflected in the restoration of intracellular catabolic flux and the upregulation of metabolic enzymes. Glynn et al. (2015) found that six months of combined aerobic and resistance training in overweight, sedentary participants with IR improved insulin sensitivity and enhanced systemic leucine turnover and BCAA metabolic capacity. Lee et al. (2021) further found that exercise upregulated BCAA metabolic pathways in skeletal muscle and subcutaneous white adipose tissue, as evidenced by increased expression of BCKDH-related genes and the mitochondrial BCAA transporter SLC25A44, together with reduced BCKDK expression in adipose tissue in participants with impaired glucose metabolism. In mice on a high-fat diet, 8 weeks of continuous aerobic exercise suppressed the accumulation of M1-like macrophages in skeletal muscle, reduced IL-1β and iNOS levels, increased IL-10 and M2-related signaling, and improved skeletal muscle insulin resistance. Further studies have shown that exercise downregulates miR-221-3p in skeletal muscle, thereby relieving miR-221-3p-mediated suppression of SOCS1 and consequently attenuating pro-inflammatory JAK/STAT signaling and STAT1-mediated M1 macrophage polarization (Li et al., 2022, 2025). This evidence is mechanistically consistent with studies showing that BCAA accumulation promotes pro-inflammatory macrophage polarization through the IFNGR1/JAK1/STAT1 pathway (Huang et al., 2024), suggesting that JAK/STAT signaling may represent a shared mechanistic target linking BCAA metabolic abnormalities to the anti-inflammatory effects of exercise. We therefore hypothesize that exercise therapy, on the one hand, increases the expression of BCAA oxidation-related enzymes and mitochondrial transporters in skeletal muscle and white adipose tissue, thereby enhancing the tissue clearance of BCAAs and BCKAs and their utilization in the tricarboxylic acid cycle; on the other hand, it may reduce lipotoxicity, tissue hypoxia, and inflammatory stimulation, inhibit the IFNGR1/JAK1/STAT1 pathway and related pro-inflammatory signaling, and provide a more favorable metabolic environment for M2-like macrophages that rely on oxidative phosphorylation, thereby alleviating the metabolic inflammatory response associated with diabetes.
4.3 BCAA catabolic activator: BT2
BT2 is a widely used BCKDK inhibitor that prevents BCKDK-mediated phosphorylation and the consequent inactivation of BCKDH, thereby increasing BCKDH activity and enhancing oxidative flux through BCAA and BCKA catabolism (Tso et al., 2014). Research by Zhou et al. (2019a) demonstrated that BT2 can increase BCKD activity, lower plasma BCAA and BCKA levels, and inhibit the phosphorylation of the BCKD E1α protein in the liver; by inhibiting mTORC1 activity, it improves insulin sensitivity in diet-induced obese mice, providing strong experimental evidence for the use of BT2 in treating IR. further demonstrated that BT2 significantly enhanced BCAA catabolism, reduced BCAA and BCKA levels in plasma and tissues, improved insulin sensitivity and glucose tolerance in diet-induced obese mice, and alleviated hepatic steatosis and liver injury. The specific mechanism involves BT2 systemically reducing BCAA/BCKA levels, thereby inhibiting M1 pro-inflammatory polarization of macrophages and reducing the infiltration of ionized calcium-binding adapter molecule 1-positive (Iba1+) macrophages in the liver. Additionally, it suppresses the release of pro-inflammatory factors (TNF-α, C-C motif chemokine ligand 2 (CCL2)) while activating the hepatic PPARα pathway to promote fatty acid oxidation and drive macrophage shift toward the M2 anti-inflammatory and reparative phenotype.
4.4 PPARγ agonist: rosiglitazone
Rosiglitazone is a PPARγ agonist. Studies have shown that it reduces serum BCAA levels and upregulates BCAT and BCKDH activity in inguinal white adipose tissue and brown adipose tissue (). PPARγ is a key transcriptional regulator of macrophage alternative activation. Studies by Odegaard et al. (2007) showed that PPARγ deficiency in myeloid cells impaired alternative macrophage activation and exacerbated diet-induced obesity and IR. A study by Rohm et al. (2024) further demonstrated that rosiglitazone significantly inhibited pro-inflammatory M1 polarization and promoted macrophage polarization toward the anti-inflammatory M2 phenotype by activating PPARγ in adipose tissue macrophages, thereby ameliorating the pro-inflammatory microenvironment. Specifically, rosiglitazone-treated macrophages secrete small extracellular vesicles (sEVs) rich in microRNAs. These sEVs circulated to insulin-responsive tissues, including adipose tissue, skeletal muscle, and the liver, and ameliorated glucose intolerance and insulin resistance in obese mice. Collectively, these findings suggest that rosiglitazone exerts beneficial metabolic effects through two complementary mechanisms. It can both regulate BCAA catabolism and promote the transition of adipose tissue macrophages to an anti-inflammatory and reparative state via PPARγ.
4.5 Berberine
Berberine is an isoquinoline alkaloid found in medicinal plants such as Coptis chinensis, Phellodendron amurense, and Coptis trifoliata, and is also one of the primary active components of Coptis chinensis (Neag et al., 2018). It exerts a broad range of pharmacological effects, including antidiarrheal, metabolism-regulating, cardioprotective, antibacterial, anti-inflammatory, and immunomodulatory effects (Song et al., 2020; Wang et al., 2024a). Consequently, BBR has emerged as an ideal candidate drug for intervening in BCAA metabolic disorders and regulating imbalances in macrophage polarization. Yue et al. (2019) demonstrated that BBR ameliorated glucose intolerance and IR in mice fed a high-fat diet, reduced inflammatory cell infiltration in the liver and adipose tissue, and lowered high-fat diet-induced elevations in serum BCAA levels. The specific mechanism involves berberine altering the composition of the gut microbiota, reducing the number of BCAA-producing bacteria, and promoting BCAA catabolism in the liver and epididymal white adipose tissue by decreasing BCKDHA phosphorylation and BCKDK levels. Jeong et al. (2009) found that, in macrophages isolated from db/db mice, BBR inhibited the phosphorylation of MAPKs, including p38, ERK, and JNK, reduced ROS levels, and significantly downregulated the expression of pro-inflammatory mediators, including TNF-α, IL-1β, IL-6, MCP-1, iNOS, and cyclooxygenase-2. Liu et al. (2018) further demonstrated that berberine inhibits pro-inflammatory M1 macrophage polarization in the colon via the AKT1/SOCS1/NF-κB signaling pathway. Collectively, these findings provide experimental support for the potential of berberine to modulate BCAA metabolism and macrophage polarization.
4.6 Ginsenoside Rb1
Ginsenoside Rb1 is a dammarane-type triterpenoid saponin and a major bioactive constituent of Araliaceae plants, particularly Korean ginseng (Panax ginseng) and American ginseng (Panax quinquefolius) (Hou et al., 2021). As a naturally occurring anti-inflammatory, hypoglycemic, and antioxidant molecule, ginsenoside Rb1 demonstrates potential therapeutic value in metabolic diseases such as diabetes, chronic inflammation, and fatty liver disease by regulating macrophage polarization and improving insulin signaling (Zhou et al., 2019b). Recent studies have further confirmed that ginsenoside Rb1 can also improve high-fat diet-induced IR by regulating gut microbiota and BCAA metabolism (Yang et al., 2021). Wang et al. (2024b) found that ginsenoside Rb1 significantly inhibited STING pathway activation in myocardial-infiltrating macrophages and suppressed the associated inflammatory response, thereby reducing pro-inflammatory cytokine release and alleviating macrophage-mediated inflammatory injury. also demonstrated that ginsenoside Rb1 inhibited the activation and migration of pro-inflammatory macrophages in adipose tissue, reduced inflammation, and ameliorated insulin resistance by upregulating PPARγ and inhibiting NF-κB signaling. Thus, ginsenoside Rb1 possesses the ability to regulate BCAA metabolism, improve IR, inhibit inflammatory macrophage activation, and promote anti-inflammatory polarization. These properties make ginsenoside Rb1 a promising single-compound candidate for modulating the BCAA–immune metabolic network.
4.7 Mulberry leaf/mulberry twig extracts
Extracts from mulberry leaves and twigs are rich in active compounds such as alkaloids, flavonoids, polysaccharides, and polyphenols, and have shown great potential in lowering blood sugar, reducing inflammation, regulating macrophage polarization, improving IR, and modulating BCAA metabolism (; Ma et al., 2022; Zheng et al., 2023). Studies have found that water extracts of mulberry leaves improve chronic inflammation and IR in mice with T2DM by inhibiting the TLR2/MyD88/NF-κB inflammatory pathway, reducing TNF-α, restoring insulin signaling (InsR/IRS1), and alleviating pancreatic inflammation (Tian et al., 2019). Sangzhi alkaloids (SZ-A), a natural alkaloid extract derived from mulberry twigs, exhibit a broad range of pharmacological activities and a favorable pharmacokinetic profile (Liu et al., 2023). Peng et al. (2024) found that SZ-A effectively reduced the release of the pro-inflammatory mediator C-X-C motif chemokine ligand (CXCL)-10, alleviated macrophage infiltration, and regulated M1/M2 macrophage polarization, thereby effectively suppressing the inflammatory response. It is therefore hypothesized that extracts derived from mulberry leaves, or branches hold significant potential for regulating BCAA metabolism, mediating macrophage polarization, and improving inflammatory responses in diabetes.
4.8 Probiotics/gut microbiota intervention
In recent years, the role of probiotics in regulating the gut microbiota and its metabolites has become a hot topic. BCAAs are metabolized by gut microbes and drive lipogenesis through signaling pathways such as mTORC1-PPARγ; elevated BCAA levels in the circulation subsequently induce obesity and IR (). Probiotics can effectively modulate beneficial gut microbiota, reducing gut microbiota-mediated BCAA synthesis or promoting BCAA catabolism, thereby lowering BCAA levels and alleviating systemic inflammatory responses and IR (Qiao et al., 2022; Zhang et al., 2026). found that the probiotic (Parabacteroides johnsonii) can reshape the gut microbiota and enhance the conversion of BCAAs to isobutyric acid (IBA); IBA improves gut barrier function, suppresses inflammation, and reduces the expression of pro-inflammatory factors such as TNF-α, IL-1β, and MCP1 in the colon, liver, and adipose tissue by inhibiting HDAC3 and activating the FGF1 pathway, thereby correcting dysregulation of glucose and lipid metabolism. Furthermore, a study by Yoshida et al. (2021) found that Bacteroides dorei and Bacteroides vulgatus can improve metabolic disorders by enhancing the catabolism of BCAAs in brown adipose tissue (BAT). By reducing BCKDHA phosphorylation and increasing BCKD activity, these two species significantly enhance BCAA oxidation capacity in BAT, thereby lowering plasma and fecal BCAA levels. Concurrently, these bacteria reduced the infiltration of F4/80+ macrophages into BAT, restrained macrophage activation, and decreased the expression of pro-inflammatory mediators, including TNF-α, IL-6, and MCP-1, thereby alleviating both local and systemic inflammation. Meanwhile, they upregulate the thermogenic gene UCP1 in BAT, improving glucose tolerance and insulin sensitivity. Additionally, body weight, hepatic lipid deposition, serum triglyceride and cholesterol levels are lowered, achieving effective regulation of glucose and lipid metabolic homeostasis. Studies by Zhang et al. (2025c) indicate that Clostridium butyricum 337279 (C.B.) can downregulate BCAA biosynthesis in the gut microbiota, thereby reducing plasma BCAA/BCKA levels. Concurrently, C.B. reduces levels of inflammatory factors such as TNF-α, IL-1β, and IL-6, inhibits the infiltration of F4/80+ macrophages in the liver and white adipose tissue, and improves glucose tolerance and insulin sensitivity in obese mice.
Table 2 summarizes dietary, pharmacological, natural compound-based, and gut microbiota-targeted strategies that modulate BCAA metabolism, reshape macrophage polarization, and alleviate diabetic metabolic inflammation.
Table 2
| Representative intervention | Effects on BCAA metabolism | Effects on macrophage polarization / inflammation | Metabolic benefits in diabetes or insulin resistance | References |
|---|---|---|---|---|
| Low-BCAA diet and Calorie restriction | Reduces exogenous BCAA load and circulating BCAA exposure, thereby lowering BCAA-associated metabolic stress. | Prevents high-fat diet-induced loss of M2 macrophages and reduces adipose macrophage infiltration and inflammatory cytokines such as TNF-α, IL-1β, and IL-6. | Improves glucose tolerance and insulin sensitivity, partly independent of calorie restriction, although some effects may be modest. | (Fontana et al., 2016; ; Liu et al., 2022; Zhang et al., 2025a) |
| Exercise intervention | Enhances systemic leucine turnover, upregulates BCKDH-related genes and SLC25A44, and reduces adipose BCKDK expression, thereby promoting BCAA/BCKA catabolism. | Reduces M1-like macrophage accumulation, IL-1β, and iNOS, increases IL-10 and M2-related signaling, and inhibits miR-221-3p/JAK/STAT-mediated M1 polarization. | Improves insulin sensitivity and skeletal muscle IR and alleviates metabolic inflammation. | (Glynn et al., 2015; Lee et al., 2021; Li et al., 2022, 2025; Huang et al., 2024) |
| BCAA catabolic activator: BT2 | Inhibits BCKDK-mediated BCKDH/BCKDC phosphorylation, activates BCKDH, and enhances BCAA/BCKA oxidation . | Suppresses M1 polarization, reduces Iba1+ macrophage infiltration, and lowers TNF-α and CCL2 release. | Lowers plasma and tissue BCAA/BCKA levels and improves insulin sensitivity, glucose tolerance, hepatic steatosis, and liver injury. | (Tso et al., 2014; Zhou et al., 2019a; ) |
| PPARγ agonist: Rosiglitazone | Reduces serum BCAA levels and increases BCAT and BCKDH activity in adipose tissues. | Activates macrophage PPARγ, inhibits M1 polarization, and promotes M2-like anti-inflammatory polarization. | Improves glucose intolerance and IR in obese models . | (Odegaard et al., 2007; ; Rohm et al., 2024) |
| Berberine | Reduces BCAA-producing gut bacteria, decreases BCKDHA phosphorylation and BCKDK levels, and promotes hepatic and adipose BCAA catabolism. | Inhibits MAPK/ROS and AKT1/SOCS1/NF-κB signaling, reducing M1 markers and pro-inflammatory cytokines including TNF-α, IL-1β, IL-6, MCP-1, and iNOS . | Improves glucose tolerance and IR and reduces liver and adipose inflammatory infiltration. | (Jeong et al., 2009; Liu et al., 2018; Neag et al., 2018; Yue et al., 2019; Song et al., 2020; Wang et al., 2024a) |
| Ginsenoside Rb1 | Regulates gut microbiota and BCAA metabolism in high-fat diet-induced IR. | Inhibits STING-mediated macrophage activation, suppresses macrophage migration, upregulates PPARγ, and blocks NF-κB signaling. | Improves insulin signaling, IR, and metabolic inflammation . | (Zhou et al., 2019b; Hou et al., 2021; Yang et al., 2021; ; Wang et al., 2024b) |
| Mulberry leaf / mulberry twig extracts | Shows potential to modulate BCAA metabolism. | Inhibits TLR2/MyD88/NF-κB signaling, lowers TNF-α and CXCL10, and reduces macrophage infiltration and M1/M2 imbalance . | Restores InsR/IRS1 signaling and improves chronic inflammation and IR in T2DM models. | (; Tian et al., 2019; Ma et al., 2022; Liu et al., 2023; Zheng et al., 2023) |
| Probiotics / gut microbiota modulation | Reduces microbial BCAA biosynthesis or promotes BCAA catabolism; P. johnsonii enhances BCAA conversion to isobutyric acid, B. dorei and B. vulgatus activate BAT BCAA oxidation, and C.B. lowers plasma BCAA/BCKA levels. | Reduces F4/80+ macrophage infiltration, macrophage activation, and inflammatory factors including TNF-α, IL-1β, IL-6, and MCP1. | Improves gut barrier function, glucose tolerance, insulin sensitivity, body weight, hepatic lipid deposition, and serum lipid profiles . | (Yoshida et al., 2021; Qiao et al., 2022; ; ; Zhang et al., 2025b, 2026) |
Intervention strategies targeting BCAA metabolism to regulate macrophage polarization and diabetic metabolic inflammation.
5 Conclusions and outlook
Based on the above findings, we conclude that BCAA metabolic dysregulation is a characteristic metabolic abnormality of diabetes. The BCAA-macrophage-metabolic inflammation axis serves as a key link connecting metabolic dysregulation, immune imbalance, IR, and the progression of diabetes. Abnormal BCAA catabolism can drive an imbalance in M1/M2 macrophage polarization through immunometabolic reprogramming. The specific mechanisms are as follows: ① Excessive BCAAs (particularly leucine) activate the mTORC1-HIF-1α signaling axis, significantly upregulating key enzymes of glycolysis and promoting the reprogramming of macrophages toward an M1-like pro-inflammatory metabolic phenotype; ② Impaired BCAA catabolism disrupts the tricarboxylic acid cycle and inhibits OXPHOS. It also compromises fatty acid oxidation and mitochondrial function, both of which are required for M2-like polarization, thereby suppressing the anti-inflammatory and reparative phenotype of macrophages. ③ The massive accumulation of BCAA degradation intermediates—BCKA, 3-HIB, and BCAC—induces lipotoxic stress and activates macrophages, further amplifying pro-inflammatory signaling; ④Excessive BCAA/BCKA disrupts mitochondrial homeostasis, triggering a burst of mitochondrial ROS, which in turn induces endoplasmic reticulum stress. Together, these factors activate the NLRP3 inflammasome, promoting the maturation and release of pro-inflammatory factors such as IL-1β, thereby amplifying the M1 pro-inflammatory response; ⑤ BCAAs continuously activate classic inflammatory pathways such as IFNGR1/JAK1/STAT1 and NF-κB, stably maintaining the M1-like polarization state of macrophages, ultimately leading to an imbalance in M1/M2 polarization and driving diabetes-related metabolic inflammation. Therefore, BCAA metabolic dysregulation serves as a key upstream driver of abnormal immune-metabolic reprogramming, polarization imbalance, and persistent chronic inflammation in diabetic macrophages. Targeted regulation of BCAA metabolism, including low-BCAA diet, nutritional restriction, exercise intervention, BCAA catabolism activators, PPARγ agonists, berberine, ginsenoside Rb1, mulberry leaf and twig extracts, as well as probiotics and gut microbiota, can effectively restore macrophage polarization balance and mitigate metabolic inflammation, providing a novel multi-target intervention strategy for diabetes.
However, current research on how BCAA metabolic abnormalities drive macrophage polarization imbalance through immunometabolic reprogramming still faces numerous limitations. Existing studies lack systematic validation of the mechanisms by which BCAA metabolic dysregulation leads to immunometabolic reprogramming, which in turn drives M1/M2 macrophage polarization and influences diabetes-related metabolic inflammation. Furthermore, Furthermore, it remains unclear whether BCAAs determine macrophage phenotype and function through epigenetic modifications, non-coding RNA-mediated regulation, or metabolite–protein interactions. Additionally, current research is largely confined to animal experiments and cellular models, lacking support from large-scale population cohort studies and randomized controlled clinical trials. In particular, there remains a limited number of drugs capable of specifically targeting BCAA metabolism and precisely regulating macrophage polarization, which restricts effective interventions for diabetes-related metabolic inflammation. It is hoped that in the future, large-scale randomized controlled trials involving interventions such as low-BCAA diets, BCKDK inhibitors, and berberine can be conducted to clarify the therapeutic effects of targeting BCAA metabolism on diabetes-related metabolic inflammation. Furthermore, we aim to conduct in-depth analyses of the epigenetic, non-coding RNA, and metabolite-protein interactions involved in BCAA regulation of macrophage polarization. At the same time, we are developing BCAA metabolism-targeted drugs with macrophage specificity to reduce systemic side effects and enhance therapeutic precision. We will further explore strategies for combining these BCAA metabolism-targeted drugs with existing antidiabetic medications, with the aim of improving glucose and lipid metabolism while alleviating chronic metabolic inflammation, thereby enhancing the overall therapeutic efficacy of diabetes treatment.
Statements
Author contributions
RuiY: Writing – original draft. RuoY: Writing – review & editing. HZ: Data curation, Writing – review & editing. YY: Conceptualization, Funding acquisition, Project administration, Writing – review & editing. YS: Conceptualization, Investigation, Writing – review & editing. JL: Conceptualization, Funding acquisition, Project administration, Writing – review & editing.
Funding
The author(s) declared that financial support was received for this work and/or its publication. This work was supported by the Department of Science and Technology of Liaoning Province under the Liaoning Provincial Key Laboratory of Integrated Traditional Chinese Medicine and Western Medicine for Diabetes (Grant No. 2019JH6/10100009), the Science and Technology Innovation Team Project of the Department of Education of Liaoning Province (Grant No. LJ222510162008), and the Liaoning Province Young Science and Technology Talent Support Program Grant issued by the Liaoning Association for Science and Technology (Document No. 2025-29).
Acknowledgments
All images in this article were created using WPS software, with some graphic elements sourced from the BioRender and BioGDP (Jiang et al., 2025) platforms. We would like to express our gratitude to these platforms for providing the materials.
Conflict of interest
The authors declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Generative AI statement
The authors declared that generative AI was not used in the creation of this manuscript.
Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.
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.
References
1
AranyZ.NeinastM. (2018). Branched chain amino acids in metabolic disease. Curr. Diabetes Rep.18, 76. doi: 10.1007/s11892-018-1048-7
2
BatchB. C.ShahS. H.NewgardC. B.TurerC. B.HaynesC.BainJ. R.et al. (2013). Branched chain amino acids are novel biomarkers for discrimination of metabolic wellness. Metabolism62, 961–969. doi: 10.1016/j.metabol.2013.01.007
3
BiswasD.DaoK. T.MercerA.CowieA. M.DuffleyL.El HianiY.et al. (2020). Branched-chain ketoacid overload inhibits insulin action in the muscle. J. Biol. Chem.295, 15597–15621. doi: 10.1074/jbc.RA120.013121
4
BlairM. C.NeinastM. D.JangC.ChuQ.JungJ. W.AxsomJ.et al. (2023). Branched-chain amino acid catabolism in muscle affects systemic BCAA levels but not insulin resistance. Nat. Metab.5, 589–606. doi: 10.1038/s42255-023-00794-y
5
BlanchardP.-G.MoreiraR. J.CastroÉ.CaronA.CôtéM.AndradeM. L.et al. (2018). PPARγ is a major regulator of branched-chain amino acid blood levels and catabolism in white and brown adipose tissues. Metabolism89, 27–38. doi: 10.1016/j.metabol.2018.09.007
6
BodenG.HomkoC.BarreroC. A.SteinT. P.ChenX.CheungP.et al. (2015). Excessive caloric intake acutely causes oxidative stress, GLUT4 carbonylation, and insulin resistance in healthy men. Sci. Transl. Med.7, 304re7. doi: 10.1126/scitranslmed.aac4765
7
BollingerE.PeloquinM.LiberaJ.AlbuquerqueB.PashosE.ShipstoneA.et al. (2022). BDK inhibition acts as a catabolic switch to mimic fasting and improve metabolism in mice. Mol. Metab.66, 101611. doi: 10.1016/j.molmet.2022.101611
8
BurrillJ. S.LongE. K.ReillyB.DengY.ArmitageI. M.SchererP. E.et al. (2015). Inflammation and ER stress regulate branched-chain amino acid uptake and metabolism in adipocytes. Mol. Endocrinol.29, 411–420. doi: 10.1210/me.2014-1275
9
ChenY.JiangS.WangH.SiM.WuH.LiangX.et al. (2025). The probiotic Parabacteroides johnsonii ameliorates metabolic disorders through promoting BCAAs to BSCFAs conversion. Adv. Sci.12, e02624. doi: 10.1002/advs.202502624
10
ChenS.SaeedA. F. U. H.LiuQ.JiangQ.XuH.XiaoG. G.et al. (2023). Macrophages in immunoregulation and therapeutics. Sig Transduct Target Ther.8, 207. doi: 10.1038/s41392-023-01452-1
11
ChengS.-C.QuintinJ.CramerR. A.ShepardsonK. M.SaeedS.KumarV.et al. (2014). mTOR- and HIF-1α–mediated aerobic glycolysis as metabolic basis for trained immunity. Science345, 1250684. doi: 10.1126/science.1250684
12
CifarelliV.BeemanS. C.SmithG. I.YoshinoJ.MorozovD.BealsJ. W.et al. (2020). Decreased adipose tissue oxygenation associates with insulin resistance in individuals with obesity. J. Clin. Invest.130, 6688–6699. doi: 10.1172/JCI141828
13
CorcoranS. E.O’NeillL. A. J. (2016). HIF1α and metabolic reprogramming in inflammation. J. Clin. Invest.126, 3699–3707. doi: 10.1172/JCI84431
14
CramerT.YamanishiY.ClausenB. E.FörsterI.PawlinskiR.MackmanN.et al. (2003). HIF-1alpha is essential for myeloid cell-mediated inflammation. Cell.112, 645–657. doi: 10.1016/s0092-8674(03)00154-5
15
CuiX.YuanQ.LongJ.ZhouJ. (2025). Recent advances in gut microbiota-mediated regulation of fat deposition and metabolic disorders. Microbiome Res. Rep.4, 31. doi: 10.20517/mrr.2025.25
16
CummingsN. E.WilliamsE. M.KaszaI.KononE. N.SchaidM. D.SchmidtB. A.et al. (2018). Restoration of metabolic health by decreased consumption of branched‐chain amino acids. J. Physiol.596, 623–645. doi: 10.1113/JP275075
17
DavidJ.DardevetD.MosoniL.Savary-AuzelouxI.PolakofS. (2019). Impaired skeletal muscle branched-chain amino acids catabolism contributes to their increased circulating levels in a non-obese insulin-resistant fructose-fed rat model. Nutrients11, 355. doi: 10.3390/nu11020355
18
De BandtJ.-P.CoumoulX.BaroukiR. (2022). Branched-chain amino acids and insulin resistance, from protein supply to diet-induced obesity. Nutrients15, 68. doi: 10.3390/nu15010068
19
DimouA.TsimihodimosV.BairaktariE. (2022). The critical role of the branched chain amino acids (BCAAs) catabolism-regulating enzymes, branched-chain aminotransferase (BCAT) and branched-chain α-keto acid dehydrogenase (BCKD), in human pathophysiology. IJMS23, 4022. doi: 10.3390/ijms23074022
20
DingH.DongJ.WangY.HuangQ.XuJ.QiuZ.et al. (2023). Ginsenoside Rb1 interfered with macrophage activation by activating PPARγ to inhibit insulin resistance in obesity. Molecules28, 3083. doi: 10.3390/molecules28073083
21
DongY.ZhangX.MiaoR.CaoW.WeiH.JiangW.et al. (2022). Branched-chain amino acids promotes the repair of exercise-induced muscle damage via enhancing macrophage polarization. Front. Physiol.13, 1037090. doi: 10.3389/fphys.2022.1037090
22
DoshiN. K.PesaresiT.PagadalaT.DionW.ZhangY.DavidN. L.et al. (2026). Branched chain amino acids prime metabolic inflammation. Mol. Metab.104, 102308. doi: 10.1016/j.molmet.2025.102308
23
DüvelK.YeciesJ. L.MenonS.RamanP.LipovskyA. I.SouzaA. L.et al. (2010). Activation of a metabolic gene regulatory network downstream of mTOR complex 1. Mol. Cell39, 171–183. doi: 10.1016/j.molcel.2010.06.022
24
EguchiK.NagaiR. (2017). Islet inflammation in type 2 diabetes and physiology. J. Clin. Invest.127, 14–23. doi: 10.1172/JCI88877
25
EnginA. (2017). “ Adipose tissue hypoxia in obesity and its impact on preadipocytes and macrophages: Hypoxia hypothesis,” in Obesity and Lipotoxicity. Eds. EnginA. B.EnginA. ( Springer International Publishing, Cham), 305–326. doi: 10.1007/978-3-319-48382-5_13
26
EverettB. M.DonathM. Y.PradhanA. D.ThurenT.PaisP.NicolauJ. C.et al. (2018). Anti-inflammatory therapy with canakinumab for the prevention and management of diabetes. J. Am. Coll. Cardiol.71, 2392–2401. doi: 10.1016/j.jacc.2018.03.002
27
Flores-GuerreroJ. L.OstéM. C. J.KienekerL. M.GruppenE. G.Wolak-DinsmoreJ.OtvosJ. D.et al. (2018). Plasma branched-chain amino acids and risk of incident type 2 diabetes: Results from the PREVEND prospective cohort study. J. Clin. Med.7, 513. doi: 10.3390/jcm7120513
28
FontanaL.CummingsN. E.Arriola ApeloS. I.NeumanJ. C.KaszaI.SchmidtB. A.et al. (2016). Decreased consumption of branched-chain amino acids improves metabolic health. Cell Rep.16, 520–530. doi: 10.1016/j.celrep.2016.05.092
29
GenitsaridiI.SalpeaP.SalimA.SajjadiS. F.TomicD.JamesS.et al. (2026). 11th edition of the IDF Diabetes Atlas: global, regional, and national diabetes prevalence estimates for 2024 and projections for 2050. Lancet Diabetes Endocrinol.14, 149–156. doi: 10.1016/S2213-8587(25)00299-2
30
GlynnE. L.PinerL. W.HuffmanK. M.SlentzC. A.Elliot-PenryL.AbouAssiH.et al. (2015). Impact of combined resistance and aerobic exercise training on branched-chain amino acid turnover, glycine metabolism and insulin sensitivity in overweight humans. Diabetologia58, 2324–2335. doi: 10.1007/s00125-015-3705-6
31
GordonS.PlüddemannA. (2017). Tissue macrophages: heterogeneity and functions. BMC Biol.15, 53. doi: 10.1186/s12915-017-0392-4
32
HermanM. A.SheP.PeroniO. D.LynchC. J.KahnB. B. (2010). Adipose tissue branched chain amino acid (BCAA) metabolism modulates circulating BCAA levels. J. Biol. Chem.285, 11348–11356. doi: 10.1074/jbc.M109.075184
33
HolečekM. (2018). Branched-chain amino acids in health and disease: metabolism, alterations in blood plasma, and as supplements. Nutr. Metab. (Lond)15, 33. doi: 10.1186/s12986-018-0271-1
34
HouM.WangR.ZhaoS.WangZ. (2021). Ginsenosides in Panax genus and their biosynthesis. Acta Pharm. Sin. B.11, 1813–1834. doi: 10.1016/j.apsb.2020.12.017
35
HuX.LiJ.FuM.ZhaoX.WangW. (2021). The JAK/STAT signaling pathway: from bench to clinic. Sig Transduct Target Ther.6, 402. doi: 10.1038/s41392-021-00791-1
36
HuangH.ChenH.YaoY.LouX. (2024). Branched-chain amino acids supplementation induces insulin resistance and pro-inflammatory macrophage polarization via INFGR1/JAK1/STAT1 signal pathway. Mol. Med.30, 149. doi: 10.1186/s10020-024-00894-9
37
HuangS. C.-C.EvertsB.IvanovaY.O’SullivanD.NascimentoM.SmithA. M.et al. (2014). Cell-intrinsic lysosomal lipolysis is essential for alternative activation of macrophages. Nat. Immunol.15, 846–855. doi: 10.1038/ni.2956
38
HutsonS. M.LiethE.LaNoueK. F. (2001). Function of leucine in excitatory neurotransmitter metabolism in the central nervous system. J. Nutr.131, 846S–850S. doi: 10.1093/jn/131.3.846S
39
HutsonS. M.SweattA. J.LaNoueK. F. (2005). Branched-chain amino acid metabolism: Implications for establishing safe intakes. J. Nutr.135, 1557S–1564S. doi: 10.1093/jn/135.6.1557S
40
JangC.OhS. F.WadaS.RoweG. C.LiuL.ChanM. C.et al. (2016). A branched-chain amino acid metabolite drives vascular fatty acid transport and causes insulin resistance. Nat. Med.22, 421–426. doi: 10.1038/nm.4057
41
JeongH. W.HsuK. C.LeeJ.-W.HamM.HuhJ. Y.ShinH. J.et al. (2009). Berberine suppresses proinflammatory responses through AMPK activation in macrophages. Am. J. Physiol. Endocrinol. Metab.296, E955–E963. doi: 10.1152/ajpendo.90599.2008
42
JhaA. K.HuangS. C.-C.SergushichevA.LampropoulouV.IvanovaY.LoginichevaE.et al. (2015). Network integration of parallel metabolic and transcriptional data reveals metabolic modules that regulate macrophage polarization. Immunity42, 419–430. doi: 10.1016/j.immuni.2015.02.005
43
JiangS.LiH.ZhangL.MuW.ZhangY.ChenT.et al. (2025). Generic diagramming platform (GDP): a comprehensive database of high-quality biomedical graphics. Nucleic Acids Res.53, D1670–D1676. doi: 10.1093/nar/gkae973
44
KandasamyP.GyimesiG.KanaiY.HedigerM. A. (2018). Amino acid transporters revisited: New views in health and disease. Trends Biochem. Sci.43, 752–789. doi: 10.1016/j.tibs.2018.05.003
45
KielerM.HofmannM.SchabbauerG. (2021). More than just protein building blocks: how amino acids and related metabolic pathways fuel macrophage polarization. FEBS J.288, 3694–3714. doi: 10.1111/febs.15715
46
LawrenceT. (2009). The nuclear factor NF- B pathway in inflammation. Cold Spring Harbor Perspect. Biol.1, a001651–a001651. doi: 10.1101/cshperspect.a001651
47
LeeY. S. (2026). Immunometabolism in obesity: Understanding the beneficial and detrimental roles of inflammation. PloS Biol.24, e3003620. doi: 10.1371/journal.pbio.3003620
48
LeeS.GulsethH. L.LangleiteT. M.NorheimF.OlsenT.RefsumH.et al. (2021). Branched-chain amino acid metabolism, insulin sensitivity and liver fat response to exercise training in sedentary dysglycaemic and normoglycaemic men. Diabetologia64, 410–423. doi: 10.1007/s00125-020-05296-0
49
LiN.ShiH.GuoQ.GanY.ZhangY.JiaJ.et al. (2022). Aerobic exercise prevents chronic inflammation and insulin resistance in skeletal muscle of high-fat diet mice. Nutrients14, 3730. doi: 10.3390/nu14183730
50
LiN.ZhangL.GuoQ.ShiH.GanY.WangW.et al. (2025). Aerobic exercise improves inflammation and insulin resistance in skeletal muscle by regulating miR-221-3p via JAK/STAT signaling pathway. Front. Physiol.16, 1534911. doi: 10.3389/fphys.2025.1534911
51
LitwiniukA.BikW.KaliszM.Baranowska-BikA. (2021). Inflammasome NLRP3 potentially links obesity-associated low-grade systemic inflammation and insulin resistance with Alzheimer’s disease. Ijms22, 5603. doi: 10.3390/ijms22115603
52
LiuZ.FengY.ZhaoH.HuJ.ChenY.LiuD.et al. (2023). Pharmacokinetics and tissue distribution of Ramulus Mori (Sangzhi) alkaloids in rats and its effects on liver enzyme activity. Front. Pharmacol.14, 1136772. doi: 10.3389/fphar.2023.1136772
53
LiuM.HuangY.ZhangH.AitkenD.NevittM. C.RockelJ. S.et al. (2022). Restricting branched-chain amino acids within a high-fat diet prevents obesity. Metabolites12, 334. doi: 10.3390/metabo12040334
54
LiuS.LiL.LouP.ZhaoM.WangY.TangM.et al. (2021). Elevated branched-chain α-keto acids exacerbate macrophage oxidative stress and chronic inflammatory damage in type 2 diabetes mellitus. Free Radical Biol. Med.175, 141–154. doi: 10.1016/j.freeradbiomed.2021.08.240
55
LiuY.LiuX.HuaW.WeiQ.FangX.ZhaoZ.et al. (2018). Berberine inhibits macrophage M1 polarization via AKT1/SOCS1/NF-κB signaling pathway to protect against DSS-induced colitis. Int. Immunopharmacol.57, 121–131. doi: 10.1016/j.intimp.2018.01.049
56
LocatiM.CurtaleG.MantovaniA. (2020). Diversity, mechanisms, and significance of macrophage plasticity. Annu. Rev. Pathol. Mech. Dis.15, 123–147. doi: 10.1146/annurev-pathmechdis-012418-012718
57
LottaL. A.ScottR. A.SharpS. J.BurgessS.LuanJ.TillinT.et al. (2016). Genetic predisposition to an impaired metabolism of the branched-chain amino acids and risk of type 2 diabetes: a Mendelian randomisation analysis. PloS Med.13, e1002179. doi: 10.1371/journal.pmed.1002179
58
LuM.LuoD.ZhangZ.OuyangF.ShiY.HuC.et al. (2024). Branched-chain amino acid catabolism promotes M2 macrophage polarization. Front. Immunol.15, 1469163. doi: 10.3389/fimmu.2024.1469163
59
LuG.SunH.SheP.YounJ.-Y.WarburtonS.PingP.et al. (2009). Protein phosphatase 2Cm is a critical regulator of branched-chain amino acid catabolism in mice and cultured cells. J. Clin. Invest.119, 1678–1687. doi: 10.1172/JCI38151
60
LvS.LiX.WangH. (2021). The role of the effects of endoplasmic reticulum stress on NLRP3 inflammasome in diabetes. Front. Cell Dev. Biol.9, 663528. doi: 10.3389/fcell.2021.663528
61
MaG.ChaiX.HouG.ZhaoF.MengQ. (2022). Phytochemistry, bioactivities and future prospects of mulberry leaves: a review. Food Chem.372, 131335. doi: 10.1016/j.foodchem.2021.131335
62
MahendranY.JonssonA.HaveC. T.AllinK. H.WitteD. R.JørgensenM. E.et al. (2017). Genetic evidence of a causal effect of insulin resistance on branched-chain amino acid levels. Diabetologia60, 873–878. doi: 10.1007/s00125-017-4222-6
63
MathisD.ShoelsonS. E. (2011). Immunometabolism: an emerging frontier. Nat. Rev. Immunol.11, 81–83. doi: 10.1038/nri2922
64
MehlaK.SinghP. K. (2019). Metabolic regulation of macrophage polarization in cancer. Trends In Cancer5, 822–834. doi: 10.1016/j.trecan.2019.10.007
65
MuL.YeZ.HuJ.ZhangY.ChenK.SunH.et al. (2023). PPM1K-regulated impaired catabolism of branched-chain amino acids orchestrates polycystic ovary syndrome. Ebiomedicine89, 104492. doi: 10.1016/j.ebiom.2023.104492
66
MurrayP. J.AllenJ. E.BiswasS. K.FisherE. A.GilroyD. W.GoerdtS.et al. (2014). Macrophage activation and polarization: nomenclature and experimental guidelines. Immunity41, 14–20. doi: 10.1016/j.immuni.2014.06.008
67
MussbacherM.DerlerM.BasílioJ.SchmidJ. A. (2023). NF-κB in monocytes and macrophages – an inflammatory master regulator in multitalented immune cells. Front. Immunol.14, 1134661. doi: 10.3389/fimmu.2023.1134661
68
NeagM. A.MocanA.EcheverríaJ.PopR. M.BocsanC. I.CrişanG.et al. (2018). Berberine: botanical occurrence, traditional uses, extraction methods, and relevance in cardiovascular, metabolic, hepatic, and renal disorders. Front. Pharmacol.9, 557. doi: 10.3389/fphar.2018.00557
69
NeinastM.MurashigeD.AranyZ. (2019). Branched chain amino acids. Annu. Rev. Physiol.81, 139–164. doi: 10.1146/annurev-physiol-020518-114455
70
NewgardC. B.AnJ.BainJ. R.MuehlbauerM. J.StevensR. D.LienL. F.et al. (2009). A branched-chain amino acid-related metabolic signature that differentiates obese and lean humans and contributes to insulin resistance. Cell Metab.9, 311–326. doi: 10.1016/j.cmet.2009.02.002
71
NilsenM. S.JersinR.Å.UlvikA.MadsenA.McCannA.SvenssonP.-A.et al. (2020). 3-Hydroxyisobutyrate, a strong marker of insulin resistance in type 2 diabetes and obesity that modulates white and brown adipocyte metabolism. Diabetes69, 1903–1916. doi: 10.2337/db19-1174
72
NishiK.YoshiiA.AbellL.ZhouB.FraustoR.RitterhoffJ.et al. (2023). Branched-chain keto acids inhibit mitochondrial pyruvate carrier and suppress gluconeogenesis in hepatocytes. Cell Rep.42, 112641. doi: 10.1016/j.celrep.2023.112641
73
O’NeillL. A. J.KishtonR. J.RathmellJ. (2016). A guide to immunometabolism for immunologists. Nat. Rev. Immunol.16, 553–565. doi: 10.1038/nri.2016.70
74
OdegaardJ. I.Ricardo-GonzalezR. R.GoforthM. H.MorelC. R.SubramanianV.MukundanL.et al. (2007). Macrophage-specific PPARgamma controls alternative activation and improves insulin resistance. Nature447, 1116–1122. doi: 10.1038/nature05894
75
PengD.ZhugeF.WangM.ZhangB.ZhuangZ.ZhouR.et al. (2024). Morus alba L. (Sangzhi) alkaloids mitigate atherosclerosis by regulating M1/M2 macrophage polarization. Phytomedicine128, 155526. doi: 10.1016/j.phymed.2024.155526
76
PradhanA. D. (2001). C-reactive protein, interleukin 6, and risk of developing type 2 diabetes mellitus. Jama286, 327. doi: 10.1001/jama.286.3.327
77
QiaoS.LiuC.SunL.WangT.DaiH.WangK.et al. (2022). Gut Parabacteroides merdae protects against cardiovascular damage by enhancing branched-chain amino acid catabolism. Nat. Metab.4, 1271–1286. doi: 10.1038/s42255-022-00649-y
78
ReifenbergP.ZimmerA. (2024). Branched-chain amino acids: physico-chemical properties, industrial synthesis and role in signaling, metabolism and energy production. Amino Acids56, 51. doi: 10.1007/s00726-024-03417-2
79
Rivas-TumanyanS.PachecoL. S.HaslamD. E.Morou-BermudezE.LiangL.TuckerK. L.et al. (2024). Branched-chain and aromatic amino acids, type 2 diabetes, and cardiometabolic risk factors among Puerto Rican adults. Nutrients16, 2562. doi: 10.3390/nu16152562
80
RohmT. V.Castellani Gomes Dos ReisF.IsaacR.MurphyC.Cunha E RochaK.BandyopadhyayG.et al. (2024). Adipose tissue macrophages secrete small extracellular vesicles that mediate rosiglitazone-induced insulin sensitization. Nat. Metab.6, 880–898. doi: 10.1038/s42255-024-01023-w
81
SchroderK.HertzogP. J.RavasiT.HumeD. A. (2004). Interferon-γ: an overview of signals, mechanisms and functions. J. Leukocyte Biol.75, 163–189. doi: 10.1189/jlb.0603252
82
Shapouri‐MoghaddamA.MohammadianS.VaziniH.TaghadosiM.EsmaeiliS.MardaniF.et al. (2018). Macrophage plasticity, polarization, and function in health and disease. J. Cell. Physiol.233, 6425–6440. doi: 10.1002/jcp.26429
83
SheuK. M.HoffmannA. (2022). Functional hallmarks of healthy macrophage responses: their regulatory basis and disease relevance. Annu. Rev. Immunol.40, 295–321. doi: 10.1146/annurev-immunol-101320-031555
84
ShinA. C.FasshauerM.FilatovaN.GrundellL. A.ZielinskiE.ZhouJ.-Y.et al. (2014). Brain insulin lowers circulating BCAA levels by inducing hepatic BCAA catabolism. Cell Metab.20, 898–909. doi: 10.1016/j.cmet.2014.09.003
85
SicaA.MantovaniA. (2012). Macrophage plasticity and polarization: in vivo veritas. J. Clin. Invest.122, 787–795. doi: 10.1172/JCI59643
86
SiebelerR.De WintherM. P. J.HoeksemaM. A. (2023). The regulatory landscape of macrophage interferon signaling in inflammation. J. Allergy And Clin. Immunol.152, 326–337. doi: 10.1016/j.jaci.2023.04.022
87
Sloan-LancasterJ.Abu-RaddadE.PolzerJ.MillerJ. W.SchererJ. C.De GaetanoA.et al. (2013). Double-blind, randomized study evaluating the glycemic and anti-inflammatory effects of subcutaneous LY2189102, a neutralizing IL-1β antibody, in patients with type 2 diabetes. Diabetes Care36, 2239–2246. doi: 10.2337/dc12-1835
88
SongD.HaoJ.FanD. (2020). Biological properties and clinical applications of berberine. Front. Med.14, 564–582. doi: 10.1007/s11684-019-0724-6
89
TangM.FengJ.NiY.ZhangW.ZhouM.ZhaoC. (2026). Branch-chain amino acid accumulation: multiple roles in the pathogenesis of diabetic foot ulcers. Diabetes Res. And Clin. Pract.236, 113255. doi: 10.1016/j.diabres.2026.113255
90
TianS.WangM.LiuC.ZhaoH.ZhaoB. (2019). Mulberry leaf reduces inflammation and insulin resistance in type 2 diabetic mice by TLRs and insulin signalling pathway. BMC Complement Altern. Med.19, 326. doi: 10.1186/s12906-019-2742-y
91
TsoS.-C.GuiW.-J.WuC.-Y.ChuangJ. L.QiX.SkvorakK. J.et al. (2014). Benzothiophene carboxylate derivatives as novel allosteric inhibitors of branched-chain α-ketoacid dehydrogenase kinase. J. Biol. Chem.289, 20583–20593. doi: 10.1074/jbc.M114.569251
92
VandanmagsarB.YoumY.-H.RavussinA.GalganiJ. E.StadlerK.MynattR. L.et al. (2011). The NLRP3 inflammasome instigates obesity-induced inflammation and insulin resistance. Nat. Med.17, 179–188. doi: 10.1038/nm.2279
93
VanweertF.SchrauwenP.PhielixE. (2022). Role of branched-chain amino acid metabolism in the pathogenesis of obesity and type 2 diabetes-related metabolic disturbances BCAA metabolism in type 2 diabetes. Nutr. Diabetes12, 35. doi: 10.1038/s41387-022-00213-3
94
ViolaA.MunariF.Sánchez-RodríguezR.ScolaroT.CastegnaA. (2019). The metabolic signature of macrophage responses. Front. Immunol.10, 1462. doi: 10.3389/fimmu.2019.01462
95
WangX.BaoW.LiuJ.OuYangY.-Y.WangD.RongS.et al. (2013). Inflammatory markers and risk of type 2 diabetes. Diabetes Care36, 166–175. doi: 10.2337/dc12-0702
96
WangQ.HolmesM. V.Davey SmithG.Ala-KorpelaM. (2017). Genetic support for a causal role of insulin resistance on circulating branched-chain amino acids and inflammation. Diabetes Care40, 1779–1786. doi: 10.2337/dc17-1642
97
WangY.TangX.CuiJ.WangP.YangQ.ChenY.et al. (2024b). Ginsenoside Rb1 mitigates acute catecholamine surge-induced myocardial injuries in part by suppressing STING-mediated macrophage activation. Biomedicine Pharmacotherapy175, 116794. doi: 10.1016/j.biopha.2024.116794
98
WangY.WangJ.TaoS.LiangZ.XieR.LiuN.et al. (2024c). Mitochondrial damage‐associated molecular patterns: a new insight into metabolic inflammation in type 2 diabetes mellitus. Diabetes Metab. Res.40, e3733. doi: 10.1002/dmrr.3733
99
WangK.YinJ.ChenJ.MaJ.SiH.XiaD. (2024a). Inhibition of inflammation by berberine: molecular mechanism and network pharmacology analysis. Phytomedicine128, 155258. doi: 10.1016/j.phymed.2023.155258
100
WhiteP. J.McGarrahR. W.GrimsrudP. A.TsoS.-C.YangW.-H.HaldemanJ. M.et al. (2018). The BCKDH kinase and phosphatase integrate BCAA and lipid metabolism via regulation of ATP-citrate lyase. Cell Metab.27, 1281–1293.e7. doi: 10.1016/j.cmet.2018.04.015
101
XuH.BarnesG. T.YangQ.TanG.YangD.ChouC. J.et al. (2003). Chronic inflammation in fat plays a crucial role in the development of obesity-related insulin resistance. J. Clin. Invest.112, 1821–1830. doi: 10.1172/JCI200319451
102
YangX.DongB.AnL.ZhangQ.ChenY.WangH.et al. (2021). Ginsenoside Rb1 ameliorates glycemic disorder in mice with high fat diet-induced obesity via regulating gut microbiota and amino acid metabolism. Front. Pharmacol.12, 756491. doi: 10.3389/fphar.2021.756491
103
YeJ.GaoZ.YinJ.HeQ. (2007). Hypoxia is a potential risk factor for chronic inflammation and adiponectin reduction in adipose tissue of ob / ob and dietary obese mice. Am. J. Physiol. Endocrinol. Metab.293, E1118–E1128. doi: 10.1152/ajpendo.00435.2007
104
YoneshiroT.WangQ.TajimaK.MatsushitaM.MakiH.IgarashiK.et al. (2019). BCAA catabolism in brown fat controls energy homeostasis through SLC25A44. Nature572, 614–619. doi: 10.1038/s41586-019-1503-x
105
YoonM.-S. (2016). The emerging role of branched-chain amino acids in insulin resistance and metabolism. Nutrients8, 405. doi: 10.3390/nu8070405
106
YoonB. R.OhY.-J.KangS. W.LeeE. B.LeeW.-W. (2018). Role of SLC7A5 in metabolic reprogramming of human monocyte/macrophage immune responses. Front. Immunol.9, 53. doi: 10.3389/fimmu.2018.00053
107
YoshidaN.YamashitaT.OsoneT.HosookaT.ShinoharaM.KitahamaS.et al. (2021). Bacteroides spp. promotes branched-chain amino acid catabolism in brown fat and inhibits obesity. iScience24, 103342. doi: 10.1016/j.isci.2021.103342
108
YueS.-J.LiuJ.WangA.-T.MengX.-T.YangZ.-R.PengC.et al. (2019). Berberine alleviates insulin resistance by reducing peripheral branched-chain amino acids. Am. J. Physiol. Endocrinol. Metab.316, E73–E85. doi: 10.1152/ajpendo.00256.2018
109
ZhangY.CaiY.LiX.ZhangQ.LuoY.ZhaoR.et al. (2026). Gut microbiota‐mediated branched‐chain amino acid metabolism: A novel mechanism by which Bacteroides uniformis improves type 2 diabetes mellitus. Diabetes Obes. Metab.28, 3764–3776. doi: 10.1111/dom.70559
110
ZhangX.LiZ.CaoJ.SunH.NiuW. (2025c). Clostridium butyricum 337279 shapes the gut microbiota to attenuate metabolic disorder in diet-induced obese mice. Front. Microbiol.16, 1580847. doi: 10.3389/fmicb.2025.1580847
111
ZhangD.MengL.XiM.LiS.ChenW.LiL.et al. (2025a). Interactions between islet-resident macrophages and β cells in diabetes. Front. Immunol.16, 1630507. doi: 10.3389/fimmu.2025.1630507
112
ZhangL.XuZ.QinS.LiuR. (2025b). Dietary branched-chain amino acids restriction in high-fat diet-induced obese mice: Effects on metabolic homeostasis, adipose inflammation, and gut microbiota. J. Nutr.155, 2700–2710. doi: 10.1016/j.tjnut.2025.05.049
113
ZhaoX.HanQ.LiuY.SunC.GangX.WangG. (2016). The relationship between branched-chain amino acid related metabolomic signature and insulin resistance: A systematic review. J. Diabetes Res.2016, 2794591. doi: 10.1155/2016/2794591
114
ZhaoS.ZhouL.WangQ.CaoJ.-H.ChenY.WangW.et al. (2023). Elevated branched-chain amino acid promotes atherosclerosis progression by enhancing mitochondrial-to-nuclear H2O2-disulfide HMGB1 in macrophages. Redox Biol.62, 102696. doi: 10.1016/j.redox.2023.102696
115
ZhenH.KitauraY.KadotaY.IshikawaT.KondoY.XuM.et al. (2016). mTORC1 is involved in the regulation of branched-chain amino acid catabolism in mouse heart. FEBS Open Bio6, 43–49. doi: 10.1002/2211-5463.12007
116
ZhengX.LiD.LiY.ChenY.ZhaoY.JiS.et al. (2023). Mulberry leaf water extract alleviates type 2 diabetes in mice via modulating gut microbiota‐host co‐metabolism of branched‐chain amino acid. Phytother. Res.37, 3195–3210. doi: 10.1002/ptr.7822
117
ZhenyukhO.CivantosE.Ruiz-OrtegaM.SánchezM. S.VázquezC.PeiróC.et al. (2017). High concentration of branched-chain amino acids promotes oxidative stress, inflammation and migration of human peripheral blood mononuclear cells via mTORC1 activation. Free Radic. Biol. Med.104, 165–177. doi: 10.1016/j.freeradbiomed.2017.01.009
118
ZhouM.ShaoJ.WuC.-Y.ShuL.DongW.LiuY.et al. (2019a). Targeting BCAA catabolism to treat obesity-associated insulin resistance. Diabetes68, 1730–1746. doi: 10.2337/db18-0927
119
ZhouP.XieW.HeS.SunY.MengX.SunG.et al. (2019b). Ginsenoside Rb1 as an anti-diabetic agent and its underlying mechanism analysis. Cells8, 204. doi: 10.3390/cells8030204
Summary
Keywords
branched-chain amino acid metabolism, diabetes mellitus, immunometabolic reprogramming, macrophage polarization, metabolic inflammation
Citation
Yang R, Yang R, Zhang H, Yang Y, Shi Y and Liu J (2026) Branched-chain amino acid metabolism and macrophage polarization: potential regulatory nodes and therapeutic targets in diabetes-associated metabolic inflammation. Front. Cell. Infect. Microbiol. 16:1902640. doi: 10.3389/fcimb.2026.1902640
Received
07 June 2026
Revised
14 July 2026
Accepted
28 July 2026
Published
10 August 2026
Volume
16 - 2026
Edited by
Kangling Zhang, University of Texas Medical Branch at Galveston, United States
Reviewed by
Wei Cao, Shandong Sport University, China
Normala Abd Latip, MARA University of Technology, Malaysia
Updates
Copyright
© 2026 Yang, Yang, Zhang, Yang, Shi and Liu.
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: Yan Shi, shi_yan0705@163.com; Juntong Liu, wojiaoliujuntong@163.com
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.