ArticleBioengineered2021
Gut Microbiome-Based Diagnostic Model to Predict Diabetes Mellitus.
Article in Bioengineered, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Efficacy of fecal microbiota transplantation in type 2 diabetes mellitus: a systematic review and meta-analysis.Endocrine · 2024Pooled it
- A systematic review on gut microbiota in type 2 diabetes mellitus.Frontiers in endocrinology · 2024Pooled it
- Impact of dietary interventions on pre-diabetic oral and gut microbiome, metabolites and cytokines.Nature communications · 2023Trial
- Pharmacomicrobiomics in metabolic syndrome and type 2 diabetes: the microbiome-drug-host triad.Frontiers in pharmacology · 2026Review
- Multi-omics reveals the mechanism of quality discrepancy between Gayal (Bos frontalis) and yellow cattle beef.BMC genomics · 2025Article
- Characterization of vaginal microbiomes in clinician-collected bacterial vaginosis diagnosed samples.Microbiology spectrum · 2025Article
- Fecal Microbiome and Urine Metabolome Profiling of Type 2 Diabetes.Journal of microbiology and biotechnology · 2025Article
- Using gut microbiome metagenomic hypervariable features for diabetes screening and typing through supervised machine learning.Microbial genomics · 2025Article
- The emerging role of probiotics in the management and treatment of diabetic foot ulcer: a comprehensive review.AIMS microbiology · 2025Review
- Bifidobacteria in disease: from head to toe.Folia microbiologica · 2024Review
- Faecalibacterium prausnitzii as a potential Antiatherosclerotic microbe.Cell communication and signaling : CCS · 2024Article
- Investigation of the hypoglycemic mechanism of the ShenQi compound formula through metabonomics and 16S rRNA sequencing.Frontiers in pharmacology · 2024Article
- Article
- Alterations of the intestinal microbiome and metabolome in women with rheumatoid arthritis.Clinical and experimental medicine · 2023Article
- Immune-mediated hematological disease in dogs is associated with alterations of the fecal microbiota: a pilot study.Animal microbiome · 2023Article
- Effects of dietary supplementation of Anoectochilus roxburghii extract (ARE) on growth performance, abdominal fat deposition, meat quality, and gut microbiota in broilers.Poultry science · 2023Article
- Gut microbiota: The key to the treatment of metabolic syndrome in traditional Chinese medicine - a case study of diabetes and nonalcoholic fatty liver disease.Frontiers in immunology · 2022Review
- Gut-microbiome-based predictive model for ST-elevation myocardial infarction in young male patients.Frontiers in microbiology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of this study was to determine the diversity of intestinal microflora and its correlation with clinical parameters in diabetic patients and healthy subjects and to assess the importance of intestinal flora in patients with diabetes. Forty-four patients with diabetes were included. The control group included 47 healthy people. Their data, biochemical indicators and results from 16S rRNA sequencing of their fecal samples were collected. Compared with the healthy population, the intestinal flora of the diabetic patients was obviously abnormal. Within the diabetes group, the abundances of the genera Faecalibacterium, Prevotella, and Roseburia were higher, and the abundances of the genera Shigella and Bifidobacterium were lower. In the correlation analysis between bacteria and clinical indicators, it was found that the genera Veillonella and unclassified_Enterobacteriaceae were negatively related to blood glucose, while the genera Phascolarctobacterium, unidentified_Bacteroidales and Prevotella were significantly positively correlated with fasting blood glucose. Twelve microbial markers were detected in the random forest model, and the area under the curve (AUC) was 84.1%. This index was greater than the diagnostic effect of fasting blood glucose. This was also supported by the joint diagnostic model of microorganisms and clinical indicators. In addition, the intestinal flora significantly improved the diagnosis of diabetes. In conclusion, it can be concluded from these results that intestinal flora is essential for the occurrence and development of diabetes, which seems to be as important as blood glucose itself.
Indexed as
Identifiers
What OpenQuestion holds
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.