Anti-inflammatory properties of GLP-1 receptor agonists and other ancillary benefits from a pharmacological perspective
Abstract
Incretin-based therapies, particularly glucagon-like peptide-1 receptor agonists (GLP-1RAs), exert a wide range of beneficial effects beyond glycemic control, largely mediated by their anti-inflammatory properties. Chronic low-grade inflammation is a common pathological mechanism underlying metabolic, cardiovascular, hepatic, and neurodegenerative diseases. GLP-1RAs reduce systemic and tissue-specific inflammation through both direct and indirect mechanisms, including inhibition of nuclear factor kappa B signaling, reduction of proinflammatory cytokines, and modulation of immune cell activity, such as that of macrophages and microglia. In type 2 diabetes and obesity, GLP-1RAs improve insulin sensitivity and endothelial function by attenuating inflammation. In metabolic dysfunction-associated steatotic liver disease, GLP-1RAs reduce hepatic steatosis and fibrosis by modulating inflammation in hepatocytes and Kupffer cells. In cardiovascular disease, they mitigate atherosclerosis progression and improve vascular health. GLP-1RAs also exert direct nephroprotective effects by reducing renal inflammation, oxidative stress, and glomerular hyperfiltration in both diabetic and nondiabetic models. GLP-RAs have been also associated with the preservation of cognitive and motor function. Preclinical studies suggest that these neuroprotective effects may involve the attenuation of neuroinflammation and reduced aggregation of pathological proteins. Overall, these pleiotropic actions position incretin-based therapies as promising tools for the management of complex chronic diseases with an inflammatory component.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
GLP-1 RAs modulate inflammation by reducing pro-inflammatory cytokine production.
“Furthermore, GLP-1 RAs modulate inflammation by reducing pro-inflammatory cytokine production, a feature that could be particularly beneficial in the context of obesity and type 2 diabetes, which are often characterized by low-grade chronic inflammation [27].”
From A Narrative Review on GLP-1 Receptor Agonists for Obesity in Older Women: Maximizing Weight Loss While Preserving Lean Mass (2026) · cites this paper as [27]
Cites
Tacke, F., Horn, P., Wai-Sun Wong, V., Ratziu, V., Bugianesi, E., Francque, S., Zelber-Sagi, S., Valenti, L., Roden, M., Schick, F., et al. (2024) · Journal of Hepatology · doi:10.1016/j.jhep.2024.04.031 · Cited by 2,210 · see citing works
Tirzepatide versus Semaglutide Once Weekly in Patients with Type 2 Diabetes
Frías, J. P., Davies, M. J., Rosenstock, J., Pérez Manghi, F. C., Fernández Landó, L., Bergman, B. K., Liu, B., Cui, X., & Brown, K. (2021) · New England Journal of Medicine · doi:10.1056/nejmoa2107519 · Cited by 2,096 · see citing works
Tirzepatide for metabolic dysfunction-associated steatohepatitis with liver fibrosis
Loomba, R., Hartman, M. L., Lawitz, E. J., Vuppalanchi, R., Boursier, J., Bugianesi, E., Yoneda, M., Behling, C., Cummings, O. W., Tang, Y., et al. (2024) · New England Journal of Medicine · doi:10.1056/nejmoa2401943 · Cited by 1,005 · see citing works
Athauda, D., Maclagan, K., Skene, S. S., Bajwa-Joseph, M., Letchford, D., Chowdhury, K., Hibbert, S., Budnik, N., Zampedri, L., Dickson, J., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)31585-4 · Cited by 889 · see citing works
Tirzepatide for the Treatment of Obstructive Sleep Apnea and Obesity
Malhotra, A., Grunstein, R. R., Fietze, I., Weaver, T. E., Redline, S., Azarbarzin, A., Sands, S. A., Schwab, R. J., Dunn, J. P., Chakladar, S., et al. (2024) · New England Journal of Medicine · doi:10.1056/nejmoa2404881 · Cited by 871 · see citing works
Anti-Inflammatory Effects of GLP-1-Based Therapies beyond Glucose Control
Lee, Y.-S., & Jun, H.-S. (2016) · Mediators of Inflammation · doi:10.1155/2016/3094642 · Cited by 503 · see citing works
An integrated view of anti-inflammatory and antifibrotic targets for the treatment of NASH
Tacke, F., Puengel, T., Loomba, R., & Friedman, S. L. (2023) · Journal of Hepatology · doi:10.1016/j.jhep.2023.03.038 · Cited by 321 · see citing works
Romero-Gómez, M., Lawitz, E., Shankar, R. R., Chaudhri, E., Liu, J., Lam, R. L. H., Kaufman, K. D., Engel, S. S., Bruzone, S. O., Coronel, M. J., et al. (2023) · Journal of Hepatology · doi:10.1016/j.jhep.2023.05.013 · Cited by 220 · see citing works
GLP-1 receptor agonists and kidney protection
Greco, E., Russo, G., Giandalia, A., Viazzi, F., Pontremoli, R., & De Cosmo, S. (2019) · Medicina · doi:10.3390/medicina55060233 · Cited by 173 · see citing works
Marx, N., Deanfield, J. E., Mann, J. F. E., Arechavaleta, R., Bain, S. C., Bajaj, H. S., Bayer Tanggaard, K., Birkenfeld, A. L., Buse, J. B., Davicevic-Elez, Z., et al. (2025) · Circulation · doi:10.1161/circulationaha.125.074545 · Cited by 70 · see citing works
Parker, V. E. R., Robertson, D., Erazo-Tapia, E., Havekes, B., Phielix, E., de Ligt, M., Roumans, K. H. M., Mevenkamp, J., Sjoberg, F., Schrauwen-Hinderling, V. B., et al. (2023) · Nature Metabolism · doi:10.1038/s42255-023-00938-0 · Cited by 53 · see citing works
Friedrichsen, M. H., Endahl, L., Kreiner, F. F., Goldwater, R., Kankam, M., Toubro, S., & Nygård, S. B. (2023) · Molecular Metabolism · doi:10.1016/j.molmet.2023.101801 · Cited by 46 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Moscucci, F., Baratta, F., Pastori, D., Menichelli, D., Mattioli, A. V., Gallina, S., Lospinuso, I., Sciomer, S., Piccirillo, G., & Desideri, G. (2026) · Nutrients · doi:10.3390/nu18040632 · Cited by 9 · see citing works
“Furthermore, GLP-1 RAs modulate inflammation by reducing pro-inflammatory cytokine production, a feature that could be particularly beneficial in the context of obesity and type 2 diabetes, which are often characterized by low-grade chronic inflammation [27].”
- Authors
- Ros-Madrid, I., Cano-Mármol, R. P., Ferrer-Gomez, M., & Ramos-Molina, B.
- Affiliations
- Virgen de la Arrixaca University Hospital
- Instituto Murciano de Investigación Biosanitaria (ES)
- Obesity, Diabetes and Metabolism Research Group, Biomedical Research Institute of Murcia (IMIB)
- Venue
- Canadian Journal of Physiology and Pharmacology
- Publisher
- Canadian Science Publishing
- Published
- 2025-12-01
- Volume
- 103
- Issue
- 12
- Pages
- 369-377
- ISSN
- 0008-4212 (ISSN-L)
- 1205-7541
- OpenAlex
- W4415163407
- Cited by
- 31
- References
- 12
- Citations by year
- 2026: 30 · 2025: 1
- FWCI
- 4.25
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Canadian Journal of Physiology and Pharmacology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Instituto de Salud Carlos III (CM24/00019, PI20/00505, PI23/00171)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Health Sciences › Medicine › Epidemiology › Adipokines, Inflammation, and Metabolic Diseases
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Peroxisome Proliferator-Activated Receptors
- Keywords
- GLP-1 receptor agonists, anti-inflammatory activity, incretin-based therapy, low-grade inflammation, NF-κB signaling, inflammatory cytokines, macrophages, microglia, type 2 diabetes, obesity, insulin sensitivity, endothelial function, non-alcoholic fatty liver disease, hepatic steatosis, Kupffer cells, atherosclerosis, renal protection, neuroprotection, neuroinflammation, cognitive function
- MeSH terms
- Glucagon-Like Peptide-1 Receptor, Glucagon-Like Peptide-1 Receptor Agonists, Animals, Anti-Inflammatory Agents, Diabetes Mellitus, Type 2, Humans, Inflammation, Incretins
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review