Evidence map›Paper›PMID 32214153›Full record

ArticleScientific reports2020

Implication of the gut microbiome composition of type 2 diabetic patients from northern China.

Qian Li, Yujun Chang, Ke Zhang, Hao Chen, Shiheng Tao, Zhi Zhang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 125 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
125citing papers in PubMed, 4 pooled it
10.0field-weighted citation impact, top 1% 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

125 citing papers in PubMed, 4 syntheses or guidelines pooled it, 193 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Trial
  7. Trial
  8. Trial
  9. Trial
  10. Article
  11. Article
  12. Review
  13. COVID-19 Infection and Gut Microbial Dysbiosis Among Filipinos with Type 2 Diabetes Mellitus.Journal of the ASEAN Federation of Endocrine Societies · 2026
    Article
  14. Review
  15. Article
  16. Review
  17. Review
  18. Review
  19. Review
  20. Review

65 more citing papers are in PubMed but not listed here.

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

6 authors at 3 institutions in 1 country.

Qian Li *College of Life Science, State Key Laboratory of Crop Stress Biology for Arid Areas, Northwest A&F University, Yangling, Shaanxi, China.
Yujun Chang *Department of Biomedical Engineering, Medical Systems Biology Research Center, Tsinghua University School of Medicine, Beijing, China.
Ke ZhangNational Engineering Research Center for Beijing Biochip Technology, Beijing, China.
Hao ChenDepartment of Emergency Medicine, The First Affiliated Hospital, Zhengzhou University, Zhengzhou, China.
Shiheng TaoCollege of Life Science, State Key Laboratory of Crop Stress Biology for Arid Areas, Northwest A&F University, Yangling, Shaanxi, China. shihengt@nwafu.edu.cn.
Zhi ZhangNational Engineering Research Center for Beijing Biochip Technology, Beijing, China. zhizhang@capitalbio.com.
Northwest A&F University · CNFirst Affiliated Hospital of Zhengzhou University · CNTsinghua University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emerging evidence has suggested the association of the gut microbiome with some human diseases, including type 2 diabetes (T2D). In this study, we analyzed the gut microbiota from a cohort of healthy and diabetic Chinese individuals from Northern China. Pyrosequencing of the V4V5 region of 16S rRNA genes revealed a significant decrease in the gut microbiota diversity of diabetic patients as compared to healthy individuals. Butyrate-producing bacteria such as Bifidobacterium and Akkermansia were significantly decreased in diabetic patients. Furthermore, the abundance of Dorea was significantly increased in T2D individuals and negatively correlated with the abundance of butyrate-producing bacteria. The increase of Dorea could play a role in the development of T2D and has been previously overlooked. Importantly, functional analysis of the gut microbiome revealed for the first time that increased levels of butyrate production via transferases and the degradation of several amino acids due to gut microbial metabolism have strong correlations with T2D in Northern China. Moreover, the potential of gut microbiota-based classifiers to identify individuals with a high risk for T2D has been demonstrated in this study. Taken together, our findings have revealed a previously unappreciated association of the gut microbiome with T2D and have also suggested that changes in gut microbiota may be used to identify individuals at high risk for T2D.

Indexed as

Gastrointestinal MicrobiomeAkkermansiaBifidobacteriumButyratesChinaDiabetes Mellitus, Type 2DNA, BacterialEubacterialesFecesFemaleHumansMaleMicrobial InteractionsRiskRNA, Ribosomal, 16SSequence Analysis, RNAButyratesDNA, BacterialRNA, Ribosomal, 16S

Identifiers

PMID32214153
PMCPMC7096501
OpenAlexW3013609045

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.