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Metabolic regulation of the immune system in disease

How metabolic pathways shape immune cell fate and drive inflammation, immune dysfunction, and disease progression across cancer, autoimmunity, and metabolic disorders.

Immunometabolism is the field that examines how intracellular metabolic pathways regulate immune cell fate, function, and effector output, and how immune activity in turn reshapes systemic and tissue metabolism. It positions metabolism as an active regulator of immunity rather than a passive consequence of activation.¹

Metabolism as an active regulator of immunity

Immune cells are among the most metabolically plastic cells in the body. Their capacity to sense nutrients, oxygen, and inflammatory cues allows them to rapidly reconfigure bioenergetic and biosynthetic pathways in ways that dictate whether they proliferate, differentiate, mount effector responses, or enter regulatory and memory states.¹,²

This plasticity is essential because immune responses impose sharply different demands at different phases. Quiescent lymphocytes require efficient ATP generation for surveillance, while activated effectors need rapid biomass accumulation for clonal expansion and cytokine synthesis. Memory and regulatory populations, in contrast, depend on sustained mitochondrial fitness to persist long-term.²,³

Crucially, the relationship between metabolism and immunity is bidirectional. Metabolic pathways shape immune cell decisions, but immune-driven inflammation also remodels systemic metabolism through cytokine signaling, altered nutrient partitioning, and changes to tissue microenvironments. When this crosstalk becomes dysregulated, it can drive chronic inflammation and disease progression.¹,⁴

Core metabolic pathways shaping immune cell function

Several interconnected pathways integrate environmental signals with cell-intrinsic programs to determine immune phenotype. Rather than acting in isolation, they operate as a network in which the balance between catabolic and anabolic activity governs functional identity.

Glycolysis and the inflammatory program

Aerobic glycolysis, the conversion of glucose to lactate even under oxygen-sufficient conditions, is a hallmark of activated effector T cells, inflammatory (M1-like) macrophages, and mature dendritic cells. Although less efficient than oxidative phosphorylation for ATP yield, glycolysis rapidly supplies biosynthetic intermediates for nucleotide, amino acid, and lipid synthesis, supporting proliferation and cytokine output.²,⁷

Glycolytic intermediates also act as signaling molecules. For example, accumulation of succinate and citrate in inflammatory macrophages stabilizes HIF-1α and drives IL-1β production, linking central carbon metabolism directly to inflammatory gene expression.²

Oxidative phosphorylation and mitochondrial fitness

Mitochondrial oxidative phosphorylation (OXPHOS) dominates in naïve, memory, and regulatory immune populations. Beyond ATP generation, mitochondria regulate immune fate through reactive oxygen species (ROS) signaling, calcium handling, and the release of metabolites that shape epigenetic programs.³

Mitochondrial fitness, encompassing membrane potential, biogenesis, and dynamics, is now recognized as a determinant of memory T-cell longevity and regulatory T-cell (Treg) stability. Loss of mitochondrial integrity is linked to exhaustion phenotypes and impaired immune persistence.³,⁷

Lipid metabolism

Fatty acid oxidation (FAO) supports the energetic needs of memory T cells, Tregs, and alternatively activated (M2-like) macrophages, while fatty acid synthesis (FAS) fuels the membrane expansion and lipid signaling required by proliferating effectors and dendritic cells.²,⁵

Cholesterol and phospholipid metabolism further influence membrane composition, receptor clustering, and inflammasome activation, linking lipid handling to both innate sensing and adaptive differentiation.

Amino acid metabolism and nutrient sensing

Amino acids act as both substrates and signaling cues. Glutamine fuels anaplerosis and nucleotide synthesis in proliferating lymphocytes; arginine availability shapes macrophage polarization and T-cell effector capacity; and tryptophan catabolism, particularly via indoleamine 2,3-dioxygenase (IDO), generates kynurenine metabolites that promote immune tolerance.¹,⁷

These inputs converge on nutrient-sensing hubs, most notably mTORC1, which promotes anabolic effector programs, and AMPK, which favors catabolic, regulatory, and memory states. The balance between these sensors is a central axis controlling immune cell fate.²,⁷

How do metabolic programs determine immune cell identity?

Metabolic programs determine immune cell identity by coupling nutrient availability and signaling inputs to transcriptional and epigenetic machinery. Shifts between glycolysis, OXPHOS, and FAO are not merely energetic choices, they generate distinct metabolite pools that modify chromatin, control transcription factor activity, and lock cells into specific functional states.²,⁷

For example, acetyl-CoA levels influence histone acetylation at effector gene loci, while α-ketoglutarate and succinate modulate the activity of chromatin-modifying enzymes. In this way, metabolic flux directly imprints on the epigenome, stabilizing phenotypes such as Th17 versus Treg differentiation or M1 versus M2 macrophage polarization.²

Immunometabolism across disease states

Metabolic dysregulation is a shared feature of many diseases, though the mechanisms and consequences differ substantially by context. Across settings, disease-associated metabolic remodeling can either amplify pathological immunity or blunt protective responses.

Disease context
Dominant metabolic feature
Functional consequence
Cancer
Nutrient competition in the tumor microenvironment; lactate accumulation
T-cell exhaustion, impaired anti-tumor immunity⁴

Autoimmunity (e.g., SLE, RA)
Sustained glycolysis, mitochondrial dysfunction
Persistent autoreactive activation, chronic inflammation⁴,⁶
Neuroinflammation (e.g., MS)
Altered lipid and oxidative metabolism in CNS-infiltrating immune cells
Sustained demyelinating inflammation⁵
Obesity
Nutrient excess, adipose tissue immune remodeling
Meta-inflammation, insulin resistance⁵,⁷

Cancer

Within the tumor microenvironment, cancer cells and immune cells compete for glucose, glutamine, and amino acids. Tumor-driven nutrient depletion and accumulation of immunosuppressive metabolites such as lactate and kynurenine impair effector T-cell function and promote exhaustion, blunting responses to immunotherapy.⁴

Autoimmunity

In autoimmune disease, immune cells often show sustained glycolytic activity and mitochondrial abnormalities that reinforce pathogenic effector programs. Altered lipid handling and dysregulated nutrient sensing further contribute to the persistence of autoreactive T and B cells and inflammatory myeloid populations.⁴,⁶

Obesity and meta-inflammation

Chronic nutrient excess reshapes adipose tissue-resident immune populations, shifting macrophages toward inflammatory phenotypes and disrupting local Treg networks. The resulting low-grade systemic inflammation contributes to insulin resistance and heightened susceptibility to metabolic and inflammatory complications.⁵,⁷

Why is immunometabolism a priority for therapeutic research?

Immunometabolism is a therapeutic priority because metabolic pathways are both druggable and functionally decisive. Targeting metabolic nodes offers a way to reprogram immune responses, dampening pathological inflammation, restoring exhausted effector function, or reinforcing regulatory populations, without broadly suppressing immunity.¹,⁴

This has driven interest in strategies that modulate glycolysis, mitochondrial function, lipid handling, and amino acid catabolism to enhance immunotherapy responses in cancer, restore tolerance in autoimmunity, and resolve chronic inflammation in metabolic disease. Immunometabolic biomarkers are also emerging as tools for patient stratification and monitoring.⁴,⁶

Exploring immunometabolism in major diseases

This article series examines how metabolic pathways shape immune responses across five disease areas, each highlighting distinct mechanisms and translational opportunities:

Together, these articles illustrate how immunometabolism is reshaping our understanding of disease mechanisms and opening new avenues for biomarker discovery and therapeutic innovation.

FAQs

What is the difference between immunometabolism and general cellular metabolism?

Immunometabolism specifically examines how metabolic pathways regulate immune cell activation, differentiation, and effector function, and how immune signaling reshapes systemic metabolism. While it draws on the same core biochemistry as general cellular metabolism, its focus is on the bidirectional interplay between metabolic flux and immune identity.¹,²

Why do activated immune cells favor glycolysis over more efficient oxidative phosphorylation?

Activated immune cells favor glycolysis because it rapidly supplies biosynthetic intermediates needed for proliferation and cytokine production, even though it yields less ATP per glucose molecule. Glycolytic intermediates also serve as signaling molecules that reinforce inflammatory transcriptional programs, making glycolysis a functional as well as energetic choice.²,⁷

Can targeting immune cell metabolism treat disease without broad immunosuppression?

Emerging evidence suggests that selectively modulating metabolic nodes, such as specific amino acid pathways or mitochondrial function, can reprogram pathogenic immune subsets while preserving protective immunity. This selectivity is a key advantage over conventional immunosuppression and underpins the growing translational interest in immunometabolism.¹,⁴

References

  1. Lu Y, et al. Immunometabolism at the intersection of metabolic signaling, cell fate, and systems immunology. Cellular & Molecular Immunology. 2022.
  2. Li X, et al. Metabolic regulation of the immune system in health and diseases. Signal Transduction and Targeted Therapy. 2024.
  3. Xu R, et al. Immunometabolism: signaling pathways, homeostasis, and therapeutic targets. MedComm. 2024.
  4. De Martino M, Rathmell JC, Galluzzi L, Vanpouille-Box C. Cancer cell metabolism and antitumour immunity. Nature Reviews Immunology. 2024.
  5. Roma EH, Gonçalves JL. Immunometabolism: exploring the nexus of metabolism and immune function in health and disease. Frontiers in Immunology. 2024.
  6. Liu X, et al. Immunometabolism in rheumatoid arthritis: mechanisms, biomarkers, and the path to precision medicine. Frontiers in Immunology. 2024.
  7. Zheng F, et al. Editorial: Immunometabolism in autoimmune and autoinflammatory disorders. Frontiers in Immunology. 2023.
Pathway
Target
Recommended clone
Species reactivity
Fluorescent conjugates available
Catalog numbers
Glycolysis
GLUT1
EPR3915
Human, Mouse, Rat
SNv428, AF® 647, APC, PE
ab326117
ab195020
ab316298
ab209449
Glycolysis
HK1
EPR10134(B)
Human, Mouse, Rat
SNv428, AF® 488, AF® 647, APC
ab326119
ab184818
ab197864
ab303120
Glycolysis
GAPDH
EPR16891
Human, Mouse, Rat
SNv428, AF® 488, AF® 647, PE
ab326140
ab201768
ab201272
ab224004
Glycolysis
PKM
EPR10138(B)
Human, Mouse, Rat
SNv428, AF® 647, PE
ab326147
ab214257
ab210448
Glycolysis
LDH
EP1566Y
Human, Mouse, Rat
AF® 488, APC, PE
ab202652
ab310866
ab310930
Glycolysis
GYS1
EP817Y
Human
SNv428, AF® 488, AF® 647, PE
ab326124
ab326126
ab326127
ab326128
Glycolysis
HIF-1a
EP1215Y
Human
AF® 488, AF® 647
ab326123
ab190569
Glycolysis
Visfatin
EPR21980
Human, Mouse, Rat
SNv428, AF® 488, AF® 647, PE
ab326284
ab319013
ab318236
ab326286
TCA cycle
CS
EPR8067
Human, Mouse, Rat
AF® 488, AF® 647, APC, PE
ab197488
ab196860
ab319332
ab319469
TCA cycle
IDH2
EPR7577
Human, Mouse, Rat
SNv428, AF® 488, AF® 647, APC, PE
ab326201
ab326446
ab326447
ab317932
ab212122
TCA cycle
OGDH
EPR27181-78
Human, Mouse, Rat
SNv428, AF® 488
ab326188
ab326186
TCA cycle
SDHB
EPR13042(B)
Human
AF® 488, AF® 647, APC, PE
ab309855
ab310223
ab305932
ab305931
OXPOS
Cyt c
7H8.2C12
Human
AF® 488, PE
ab326168
ab326170
OXPOS
ATP5A
EPR13030(B)
Human, Mouse, Rat
SNv428, AF® 488, PE
ab326174
ab196467
ab326920
OXPOS
AIF
E20
Human, Mouse, Rat
SNv428, AF® 488, AF® 647
ab326171
ab309660
ab196847
OXPOS
VDAC1/Porin + VDAC2
EPR10852(B)
Human, Mouse, Rat
AF® 488
ab317974
OXPOS
MFN2
EPR19796
Human
AF® 488
ab326161
OXPOS
mtTFA
18G102B2E11
Human
SNv428, AF® 488, PE
ab326181
ab198308
ab326185
OXPOS
CPOX
EPR11927(B)
Human, Mouse
SNv428, AF® 647, PE
ab326176
ab326179
ab326180
Protein and Dna metabolism
ASCT2
CAL33
Human
AF® 488, AF® 647
ab326135
ab326136
Protein and Dna metabolism
CD98
EPR27110-42
Human
APC, PE
ab317481
ab322668
Protein and Dna metabolism
GLS
EPR19525
Human, Mouse, Rat
Ready for conjugation
ab223129
Protein and Dna metabolism
GLUD1+GLUD2
EPR11370
Human, Mouse, Rat
AF® 488, AF® 647, APC, PE
ab204001
ab310124
ab305457
ab305456
Protein and Dna metabolism
ASS1
EPR12398
Human, Mouse, Rat
APC, PE
ab310832
ab210451
Protein and Dna metabolism
CAD
EP710Y
Human
AF® 488, AF® 647, APC, PE
ab309830
ab203699
ab305487
ab305486
Protein and Dna metabolism
DPD
EPR8811
Human
AF® 647
ab209933
Protein and Dna metabolism
G6PD
EPR20668
Human, Mouse, Rat
SNv428, PE
ab326142
ab326146
Protein and Dna metabolism
SHMT2/SHMT
EPR28607-51
Human, Mouse, Rat
Ready for conjugation
ab316329
Protein and Dna metabolism
ENT1
SP120
Human
AF® 488, AF® 647, APC, PE
ab310983
ab311105
ab310837
ab310912
Lipid metabolism
CD36 / FAT
EPR22509-40
Human, Mouse, Rat
AF® 488
ab320068
Lipid metabolism
ACACA
EPR23235-47
Human, Mouse, Rat
Ready for conjugation
ab272703
Lipid metabolism
ACLY
EP704Y
Human, Mouse, Rat
AF® 488, AF® 647, PE
ab205429
ab205430
ab209750
Lipid metabolism
DGAT1
EPR13430-4
Human
Ready for conjugation
ab240250
Lipid metabolism
CPT1A
EPR21843-71-1C
Human, Mouse, Rat
SNv428
ab326247
Lipid metabolism
ACADM / MCAD
EPR3708
Human, Mouse, Rat
AF® 488
ab203262
Lipid metabolism
FASN
EPR7465
Human, Mouse, Rat
AF® 488, APC, PE
ab204660
ab223965
ab223964
Redox
GSS
EPR6563
Human
Ready for conjugation
ab236062
Redox
PRDX2 / PRP
EPR5154
Human, Mouse, Rat
SNv428, AF® 488, AF® 647
ab326225
ab197536
ab197041
Redox
SIRT1
E104
Human
AF® 488, AF® 647, APC, PE
ab196368
ab196144
ab303069
ab303068