Evidence map›Paper›PMID 34484230›Full record

ArticleFrontiers in immunology2021

Gut Bacterial Characteristics of Patients With Type 2 Diabetes Mellitus and the Application Potential.

Yanyan Que, Man Cao, Jianquan He, Qiang Zhang, Qiongyun Chen, Changsheng Yan, Aiqiang Lin, Luxi Yang, Zezhen Wu, Dan Zhu and 5 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 3 pooled it
4.9field-weighted citation impact, top 3% of its field
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

53 citing papers in PubMed, 3 syntheses or guidelines pooled it, 85 citations in OpenAlex.

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  17. International journal of molecular sciences · 2025
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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

15 authors at 6 institutions in 1 country.

Yanyan QueDepartment of Endocrinology, Zhongshan Hospital Xiamen University, Xiamen, China.
Man CaoDepartment of Mathematics and Numerical Simulation and High-Performance Computing Laboratory, School of Sciences, Nanchang University, Nanchang, China.
Jianquan HeDepartment of Rehabilitation, Zhongshan Hospital Xiamen University, Xiamen, China.
Qiang ZhangDepartment of Gastroenterology, Zhongshan Hospital Xiamen University, Xiamen, China.
Qiongyun ChenDepartment of Gastroenterology, Zhongshan Hospital Xiamen University, Xiamen, China.
Changsheng YanDepartment of Gastroenterology, Zhongshan Hospital Xiamen University, Xiamen, China.
Aiqiang LinDepartment of Research and Development, Xiamen Treatgut Biotechnology Co., Ltd., Xiamen, China.
Luxi YangSchool of Medicine, Xiamen University, Xiamen, China.
Zezhen WuDepartment of Endocrine and Metabolic Diseases, Longhu Hospital, The First Affiliated Hospital of Medical College of Shantou University, Shantou, China.
Dan ZhuDepartment of Endocrine and Metabolic Diseases, Longhu Hospital, The First Affiliated Hospital of Medical College of Shantou University, Shantou, China.
Fengwu ChenDepartment of Endocrine and Metabolic Diseases, Longhu Hospital, The First Affiliated Hospital of Medical College of Shantou University, Shantou, China.
Zhangran ChenDepartment of Gastroenterology, Zhongshan Hospital Xiamen University, Xiamen, China.
Chuanxing XiaoSchool of Pharmacy, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
Kaijian HouDepartment of Endocrine and Metabolic Diseases, Longhu Hospital, The First Affiliated Hospital of Medical College of Shantou University, Shantou, China.
Bangzhou ZhangDepartment of Gastroenterology, Zhongshan Hospital Xiamen University, Xiamen, China.
Xiamen University · CNZhongshan Hospital of Xiamen University · CNFirst Affiliated Hospital of Shantou University Medical College · CNNanchang University · CNShantou University · CNShantou University Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes mellitus (T2DM) is a complex disorder comprehensively influenced by genetic and environmental risk, and research increasingly has indicated the role of microbial dysbiosis in T2DM pathogenesis. However, studies comparing the microbiome characteristics between T2DM and healthy controls have reported inconsistent results. To further identify and describe the characteristics of the intestinal flora of T2DM patients, we performed a systematic review and meta-analysis of stool microbial profiles to discern and describe microbial dysbiosis in T2DM and to explore heterogeneity among 7 studies (600 T2DM cases, 543 controls, 1143 samples in total). Using a random effects model and a fixed effects model, we observed significant differences in beta diversity, but not alpha diversity, between individuals with T2DM and controls. We identified various operational taxonomic unit (OTUs) and bacterial genera with significant odds ratios for T2DM. The T2DM signatures derived from a single study by stepwise feature selection could be applied in other studies. By training on multiple studies, we improved the detection accuracy and disease specificity for T2DM. We also discuss the relationship between T2DM-enriched or T2DM-depleted genera and probiotics and provide new ideas for diabetes prevention and improvement.

Indexed as

Gastrointestinal MicrobiomeCase-Control StudiesDiabetes Mellitus, Type 2DysbiosisFecesHumansMetagenomeMetagenomicsProbioticsRNA, Ribosomal, 16SROC CurveRNA, Ribosomal, 16S16S rRNA sequencingmeta-analysismicrobiotaprobioticsT2DM

Identifiers

PMID34484230
PMCPMC8415158
OpenAlexW3192299318

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.