ReviewFrontiers in immunology2021
Meta-Inflammation and Metabolic Reprogramming of Macrophages in Diabetes and Obesity: The Importance of Metabolites.
Review in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 173 papers, 1 of them a synthesis that pooled it.
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Who cites it
173 citing papers in PubMed, 1 synthesis or guideline pooled it, 229 citations in OpenAlex.
- Sex and Gender Differences on the Impact of Metabolism-Disrupting Chemicals on Obesity: A Systematic Review.Nutrients · 2024Pooled it
- Trial
- Green Tea Kombucha Impacts Inflammation and Salivary Microbiota in Individuals with Excess Body Weight: A Randomized Controlled Trial.Nutrients · 2024Trial
- Subtype-specific mechanisms of lipid metabolism in gynecological malignancies and novel targeted intervention strategies (Review).Oncology letters · 2026Review
- Phytochemicals and Irisin as Multi-Target Regulators of Adipose Tissue Browning and Metabolic Reprogramming: Synergies with GLP-1 Pathways.Antioxidants (Basel, Switzerland) · 2026Review
- The Metabolic Reprogramming Mechanism of Astragalus Polysaccharide-Induced Immune Memory in HD11 Cells: Integrated Analysis Based on Glycolysis and the TLR2/mTOR Pathway.Poultry science · 2026Article
- Tissue-Resident Macrophage in Inflammation and Cancer.MedComm · 2026Review
- Immunometabolic Dysregulation in Obesity: Integrating Macrophage Polarization, Metabolic Reprogramming, and Gut Microbiota Crosstalk.Immunity, inflammation and disease · 2026Review
- Metainflammation, Mitochondrial Dysfunction, and Organokine Crosstalk: A Central Axis Linking Metabolic Syndrome to Cardiovascular Diseases.International journal of molecular sciences · 2026Review
- cAMP-response element binding protein (CREB)-mediated glycolysis enhancement promotes apoptosis of RAW264.7 macrophages infected with BCG under high glucose conditions.BMC microbiology · 2026Article
- The Sirtuin Network: Linking NADDiabetes/metabolism research and reviews · 2026Review
- Lipidomic signatures in gestational diabetes mellitus and postpartum type 2 diabetes mellitus: a narrative review of etiologic and predictive implications.EBioMedicine · 2026Review
- ACOT1-specific expression modulates metabolic reprogramming in diabetic cardiomyopathy: The role of SREBP1c lactylation in CD36-mediated lipotoxicity.American heart journal plus : cardiology research and practice · 2026Article
- Structural Lipidomics Uncovers CC Location-Specific Lipid Signatures and the Response to Immune Checkpoint Inhibitor in dMMR/MSI‑H Colorectal Cancer.ACS measurement science au · 2026Article
- Time for a More Precise and Practical Laboratory Definition of Metainflammation in Obesity-Related Diseases.Medical sciences (Basel, Switzerland) · 2026Article
- Mitochondrial metabolic reprogramming drives diabetic kidney disease progression: cell-specific mechanisms, metabolic memory, and targeted strategies.Molecular medicine (Cambridge, Mass.) · 2026Review
- Macrophage metabolism reprogramming in sepsis: Pathogenesis and therapeutic implications (Review).International journal of molecular medicine · 2026Review
- Therapeutic Regulation of Macrophage Polarization for Diabetic Kidney Disease by Targeted Metabolic Reprogramming.Current medical science · 2026Review
- The Proteomics-Based Stratification of Obese Subjects Allows for a Second Selective Level Beyond Gender Classification.International journal of molecular sciences · 2026Article
- Review
113 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diabetes mellitus type II and obesity are two important causes of death in modern society. They are characterized by low-grade chronic inflammation and metabolic dysfunction (meta-inflammation), which is observed in all tissues involved in energy homeostasis. A substantial body of evidence has established an important role for macrophages in these tissues during the development of diabetes mellitus type II and obesity. Macrophages can activate into specialized subsets by cues from their microenvironment to handle a variety of tasks. Many different subsets have been described and in diabetes/obesity literature two main classifications are widely used that are also defined by differential metabolic reprogramming taking place to fuel their main functions. Classically activated, pro-inflammatory macrophages (often referred to as M1) favor glycolysis, produce lactate instead of metabolizing pyruvate to acetyl-CoA, and have a tricarboxylic acid cycle that is interrupted at two points. Alternatively activated macrophages (often referred to as M2) mainly use beta-oxidation of fatty acids and oxidative phosphorylation to create energy-rich molecules such as ATP and are involved in tissue repair and downregulation of inflammation. Since diabetes type II and obesity are characterized by metabolic alterations at the organism level, these alterations may also induce changes in macrophage metabolism resulting in unique macrophage activation patterns in diabetes and obesity. This review describes the interactions between metabolic reprogramming of macrophages and conditions of metabolic dysfunction like diabetes and obesity. We also focus on different possibilities of measuring a range of metabolites intra-and extracellularly in a precise and comprehensive manner to better identify the subsets of polarized macrophages that are unique to diabetes and obesity. Advantages and disadvantages of the currently most widely used metabolite analysis approaches are highlighted. We further describe how their combined use may serve to provide a comprehensive overview of the metabolic changes that take place intracellularly during macrophage activation in conditions like diabetes and obesity.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.