Evidence mapPaperPMID 40489582Full record

SynthesisThe Journal of clinical endocrinology and metabolism2025

Glucose Parameters, Inflammation Markers, and Gut Microbiota Changes of Gut Microbiome-Targeted Therapies in Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Xin Zhou, Wenbin Zheng, Wen Kong, Jiaoyue Zhang, Yunfei Liao, Jie Min, Tianshu Zeng

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in The Journal of clinical endocrinology and metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Antioxidant and Anti-Inflammatory Activities of Probiotic Strains.International journal of molecular sciences · 2026
    Review
  4. Review
  5. Review
  6. Probiotics,Metabolism open · 2025
    Article
  7. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Xin ZhouDepartment of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City 430022, Hubei Province, China.ORCID 0000-0002-1854-1337
Wenbin ZhengDepartment of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City 430022, Hubei Province, China.
Wen KongDepartment of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City 430022, Hubei Province, China.
Jiaoyue ZhangDepartment of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City 430022, Hubei Province, China.ORCID 0000-0002-3789-0997
Yunfei LiaoDepartment of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City 430022, Hubei Province, China.
Jie MinDepartment of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City 430022, Hubei Province, China.ORCID 0000-0002-8371-2390
Tianshu ZengDepartment of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City 430022, Hubei Province, China.ORCID 0000-0001-9171-7151

Funding

Key R&D Program of Hubei Province 2020BCB003National Natural Science Foundation of China 82270909
6 · The paper itself

Abstract

purposeThis meta-analysis aims to summarize the effects of gut microbiome-targeted therapies (MTTs) on glucometabolic, inflammatory factors and gut microbiota in patients with type 2 diabetes mellitus (T2DM).

methodsFour databases were searched for randomized controlled trials (RCTs) that included subjects with T2DM who received MTTs. All results were presented as standardized mean difference (SMD) or mean difference (MD) and 95% CIs. In addition, subgroup analyses were performed according to region, type of MTTs, number of probiotic strains, probiotics dose, prebiotics dose, duration of MTTs, mean age, and baseline body mass index.

resultsA total of 54 RCTs were included, encompassing 60 groups and 3390 subjects. Overall, MTTs intervention decreased fasting plasma glucose (MD = -7.97 mg/dL [95% CI = -10.82, -5.12]; P < .00001), 2-hour postprandial blood glucose (MD =  -43.30 mg/dL [95% CI = -75.83, -10.77]; P = .009), fasting insulin (MD = -1.73 uU/mL [95% CI = -2.63, -0.84]; P = .0001), HbA1c (MD = -0.28%, [95% CI = -0.39, -0.17]; P < .00001), and homeostatic model assessment of insulin resistance (MD =-0.53 [95% CI = -0.85, -0.20]; P = .0002). Furthermore, MTTs supplementation reduced high-sensitivity C-reactive protein, tumor necrosis factor alpha, and lipopolysaccharides. Meanwhile, the levels of interleukin-10 were increased. Moreover, the abundance of Actinobacteria, Lactobacillus, and Lactobacillus casei subgroup increased.

conclusionMTTs modestly improved glucometabolic parameters, reduced pro-inflammatory cytokines, and enriched beneficial microbes (eg, Actinobacteria, Lactobacillus) in subjects with T2DM. However, heterogeneity and limited long-term data highlight the need for large-scale RCTs.

Indexed as

Blood GlucoseDiabetes Mellitus, Type 2Gastrointestinal MicrobiomeInflammationProbioticsBiomarkersHumansPrebioticsRandomized Controlled Trials as TopicBiomarkersBlood GlucosePrebioticsglucose parametersgut microbiotainflammationmeta-analysistype 2 diabetes mellitus

Identifiers

PMID40489582
PMCPMC12448586

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.