- 1Gut Microbiome Division, Scientific Knowledge on Aging and Neurological Ailments (SKAN) Research Trust, Bengaluru, India
- 2Chemomicrobiomics Laboratory, Department of Biochemistry and Microbiology, KMCH Research Foundation, Coimbatore, India
- 3Central Research Laboratory, KMCH Institute of Health Science & Research, Coimbatore, India
- 4Department of Immunology, University of Texas Southwestern Medical Center, Dallas, TX, United States
- 5Department of Oral Diagnostic Sciences & Research, School of Dentistry, Meharry Medical College, Nashville, TN, United States
Editorial on the Research Topic
Gut and circulating microbiota in the pathophysiology and clinical complications of diabetes
Introduction
Diabetes mellitus is a multifactorial metabolic disorder characterized by chronic hyperglycemia and progressive multisystem complications. Growing evidences positions the microbiome (including intestinal microbial communities comprising of bacteria, viruses, fungi and protozoans and their metabolites) as one of the major axes of disease pathogenesis alongside host genetics and life style factors. Beyond change in gut microbial diversity, dysbiosis leads to disturbance of gut barrier integrity, trigger immune activation, and alter metabolic signaling through short-chain fatty acids (SCFAs), bile acids, and tryptophan metabolites, as well as epigenetic regulation (1, 2). Circulating microbial DNA and metabolites are increasingly investigated as potential biomarkers for disease progression and complications (3).
This Research Topic, Gut and Circulating Microbiota in the Pathophysiology and Clinical Complications of Diabetes, gathers seven contributions that explore how gut and circulating microbiota shape diabetes pathophysiology and clinical complications, from microbial metabolites and viral elements to organ specific outcomes.
Pathophysiology and clinical complications of diabetes
Diabetes arises from impaired insulin secretion, insulin resistance, or both, with contributions from genetic predisposition, environmental triggers, and systemic inflammation. These drive β-cell dysfunction, oxidative stress, and dysregulated glucose and lipid metabolism (4). Chronic hyperglycemia promotes formation of advanced glycation end-products (AGEs), causing vascular damage and endothelial dysfunction (5), which in turn underlie microvascular complications (retinopathy, nephropathy, neuropathy) and macrovascular complications (atherosclerosis, coronary artery disease, stroke) (6). Low-grade inflammation and altered gut and circulating microbiota amplify metabolic dysregulation, further increasing risks of cardiovascular and hepatic disease (2). Together, these mechanisms explain the broad clinical spectrum that makes diabetes a global health burden.
Gut and circulating microbial components
The gut microbiota exerts both local and systemic effects through the release of microbial products into circulation. These include cell-free microbial DNA (cf-mDNA), lipopolysaccharide (LPS), peptidoglycans, extracellular vesicles, and metabolites such as SCFAs, bile acids, and trimethylamine N-oxide (TMAO) (7). Gut barrier dysfunction facilitates the translocation of these components, which interact with host receptors such as Toll-like receptors (TLRs) and NOD-like receptors to modulate immune and metabolic pathways (1, 2). Elevated circulating microbial DNA and endotoxin levels have been associated with metabolic disorders, cardiovascular disease, and sepsis, suggesting potential as biomarkers (3). SCFAs improve glucose homeostasis and inflammation, whereas TMAO and secondary bile acids promote cardiometabolic complications (8). Thus, circulating microbial components function as both mediators of host–microbe interactions and candidate biomarkers for precision medicine.
Microbial components in diabetes
Microbial products, including cf-mDNA, LPS, peptidoglycans, and metabolites, are implicated in diabetes pathogenesis. Obesity-associated gut barrier dysfunction enables their translocation, driving “metabolic endotoxemia” (9). Circulating LPS engages TLR4 signaling, inducing chronic inflammation and insulin resistance (10). Similarly, altered microbial DNA signatures have been reported in diabetic patients, pointing to biomarker potential (3).
Microbial metabolites also play dual roles: SCFAs confer metabolic and anti-inflammatory benefits, whereas TMAO and certain bile acids exacerbate cardiovascular risk (8). These findings support the view that microbial components are active drivers of immune–metabolic crosstalk in diabetes.
Highlights of the Research Topic
Gut-associated metabolites and diabetes pathology
Gough et al. systematically reviewed 34 studies across type 1 diabetes (T1DM), gestational diabetes (GDM), prediabetes, and type 2 diabetes (T2DM), identifying 272 metabolites from 38 classes associated with diabetes. SCFAs and bile acids emerged repeatedly, but considerable methodological heterogeneity (sample type, platforms) limited comparability.
Duodenal mucosal resurfacing with GLP-1RA in T2DM
Meiring et al. studied 16 insulin-treated T2DM patients undergoing duodenal mucosal resurfacing (DMR) combined with GLP-1 receptor agonists (GLP-1RA). Clinical improvements included insulin withdrawal in many patients. Importantly, increases in α-diversity correlated with HbA1c reduction, and β-diversity changes correlated with liver fat fraction improvements.
Gut microbiome in obese Mongolians with and without T2DM
Shinoda et al. explored the “Mongolian paradox,” comparing obese individuals with and without T2DM. Nondiabetic obese participants had higher abundances of SCFA producers (Anaerostipes hadrus) and faecal acetate, whereas diabetic obese individuals had pro-inflammatory taxa (Methanobrevibacter, Desulfovibrio) and reduced Faecalibacterium. SCFA levels were among the strongest negative associations with diabetes.
Maternal Western diet, microbiome, and fetal programming
Sugino et al. demonstrated in a baboon model that maternal Western-style diet altered the maternal gut microbiome and induced changes in placental and fetal hepatic miRNA/gene expression. This work highlights maternal diet–microbiome interactions as drivers of developmental programming of metabolic disease risk.
Oral virome in diabetes
Zhang et al. expanded the microbiome perspective by characterizing the oral virome in patients with diabetes. Distinct viral community structures, altered virus–bacteria interaction networks, and functional pathway shifts were observed, underscoring the role of viral components in diabetic dysbiosis.
Microbiota and enteric nervous system crosstalk in diabetic gastroenteropathy
Tao et al. reviewed evidence linking gut dysbiosis to enteric nervous system (ENS) dysfunction in diabetic gastroenteropathy. They outlined how microbial metabolites, hormones, and neurotransmitters interact with the ENS, framing the microbiota–ENS axis as a therapeutic target for gastrointestinal complications.
Gut microbiota in diabetic kidney disease
Wu et al. compared gut microbiota across DKD, long-term diabetes without nephropathy, and DKD with non-diabetic renal disease. While overall diversity was similar, taxa such as Olsenella were enriched and Faecalibacterium prausnitzii depleted in DKD. Distinct functional predictions (e.g., pyruvate metabolism) may help explain renal involvement and serve as potential biomarkers.
Shared insights and implications
Across these studies, several unifying themes emerge:
SCFA producers confer protective effects (Gough et al.; Shinoda et al.; Wu et al.).
Microbial diversity correlates with metabolic improvement and complication profiles (Meiring et al.; Shinoda et al.).
Expansion beyond bacteria to viruses (Zhang et al.), ENS interactions (Tao et al.), and epigenetics (Sugino et al.) enriches mechanistic understanding.
Organ-specific microbiota signatures (Wu et al.; Tao et al.) link dysbiosis to complications such as DKD and gastroenteropathy.
Conclusion
Together, these contributions underscore the central role of gut and circulating microbiota in diabetes. They highlight the protective role of SCFA-producing taxa, the impact of diet and interventions on microbial diversity, and the expanding importance of non-bacterial elements and host–microbiota crosstalk. Future progress will require longitudinal and interventional studies, methodological standardization, and integration of multi-omics approaches. Translating these findings into diagnostics and targeted therapies promises to advance precision medicine for diabetes and its complications.
Author contributions
DV: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. VG: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. CD: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. CS: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
The author(s) declare that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.
Generative AI statement
The author(s) declare that no Generative AI was 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. Cani PD and Jordan BF. Gut microbiota-mediated inflammation in obesity: a link with gastrointestinal cancer. Nat Rev Gastroenterol Hepatol. (2018) 15:671–82. doi: 10.1038/s41575-018-0025-6
2. Tilg H, Zmora N, Adolph TE, and Elinav E. The intestinal microbiota fuelling metabolic inflammation. Nat Rev Immunol. (2020) 20:40–54. doi: 10.1038/s41577-019-0198-4
3. Castillo DJ, Rifkin RF, Cowan DA, and Potgieter M. The healthy human blood microbiome: Fact or fiction? Front Cell Infect Microbiol. (2019) 9:148. doi: 10.3389/fcimb.2019.00148
4. DeFronzo RA, Ferrannini E, Groop L, Henry RR, Herman WH, Holst JJ, et al. Type 2 diabetes mellitus. Nat Rev Dis Primers. (2015) 1:15019. doi: 10.1038/nrdp.2015.19
5. Brownlee M. The pathobiology of diabetic complications: a unifying mechanism. Diabetes. (2005) 54:1615–25. doi: 10.2337/diabetes.54.6.1615
6. Forbes JM and Cooper ME. Mechanisms of diabetic complications. Physiol Rev. (2013) 93:137–88. doi: 10.1152/physrev.00045.2011
7. Velmurugan G, Dinakaran V, Rajendhran J, and Swaminathan K. Blood Microbiota and circulating microbial metabolites in diabetes and cardiovascular disease. Trends Endocrinol Metabol: TEM. (2020) 31:835–47. doi: 10.1016/j.tem.2020.01.013
8. Tang WHW, Li DY, and Hazen SL. Dietary metabolism, the gut microbiome, and heart failure. Nat Rev Cardiol. (2019) 16:137–54. doi: 10.1038/s41569-018-0108-7
9. Cani PD, Amar J, Iglesias MA, Poggi M, Knauf C, Bastelica D, et al. Metabolic endotoxemia initiates obesity and insulin resistance. Diabetes. (2007) 56:1761–72. doi: 10.2337/db06-1491
Keywords: gut microbiota, circulating microbiota, diabetes mellitus, short-chain fatty acids, microbiome diversity, oral virome, diabetic kidney disease, enteric nervous system
Citation: Vasudevan D, Ganesan V, Dende C and Sampath C (2025) Editorial: Gut and circulating microbiota in the pathophysiology and clinical complications of diabetes. Front. Clin. Diabetes Healthc. 6:1717638. doi: 10.3389/fcdhc.2025.1717638
Received: 02 October 2025; Accepted: 06 October 2025;
Published: 10 October 2025.
Edited and reviewed by:
Didac Mauricio, University of Vic - Central University of Catalonia, SpainCopyright © 2025 Vasudevan, Ganesan, Dende and Sampath. 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: Dinakaran Vasudevan, ZGluYWthcmFuLnN2Z2V2QGdtYWlsLmNvbQ==; Velmurugan Ganesan, dmVsQGttY2hyZi5vcmc=; Chaitanya Dende, Y2hhaXRhbnlhLmRlbmRlQHV0c291dGh3ZXN0ZXJuLmVkdQ==; Chethan Sampath, Y3NhbXBhdGhAbW1jLmVkdQ==