The role of intestinal microbiota in the pathogenesis of nephropathy in patients with metabolic syndrome; a systematic review
Bibliographic record
Abstract
Introduction: The gut microbiota plays a vital role in maintaining metabolic and renal health. Dysbiosis associated with metabolic syndrome contributes to the development of nephropathy through mechanisms involving inflammation and the production of uremic toxins. Objectives: This study aims to examine the role of the intestinal microbiota in the onset and progression of nephropathy in patients with metabolic syndrome, particularly its impact on renal function. Methods: A systematic review was conducted covering the period from 2020 to 2025, following PRISMA guidelines. Relevant literature on gut microbiota, nephropathy, and metabolic syndrome was identified through databases including Scopus, Web of Science, Cochrane Library, PubMed, and Europe PMC. The quality of included studies was assessed using the Cochrane Risk of Bias tool and the Newcastle-Ottawa Scale to ensure methodological rigor. Results: The 16 included studies varied in design, study populations, and duration. All reported a reduction in microbial diversity among patients with chronic kidney disease (CKD) and nephropathy. The presence of Prevotella and Faecalibacterium was generally associated with improved kidney function, whereas disease progression correlated with higher levels of Proteobacteria and Clostridium. Metabolites such as indoxyl sulfate and p-cresol glucuronide were commonly linked to nephropathy. Interventions such as probiotic supplementation, fecal microbiota transplantation (FMT), and time-restricted feeding (TRF) showed potential in stabilizing the estimated glomerular filtration rate, reducing uremic toxins, and slowing disease progression. Conclusion: The gut microbiota and its metabolites significantly influence the development and progression of nephropathy in the context of metabolic syndrome. Modulating microbial composition through probiotics and dietary interventions may help restore renal function and mitigate disease advancement. Registration: This review was conducted in accordance with the PRISMA checklist, and the protocol was registered with PROSPERO (ID: CRD420251053100).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".