Evidence map›Paper›PMID 38481313›Full record

ArticleDiabetology & metabolic syndrome2024

Large-scale causal analysis of gut microbiota and six common complications of diabetes: a mendelian randomization study.

Jiachen Wang, Menghao Teng, Ruoyang Feng, Xiaochen Su, Ke Xu, Junxiang Wang, Guoqiang Wang, Yulong Zhang, Peng Xu

Open access · goldAbstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Towards Microbiota-Targeted Interventions in Acute Pancreatitis: Evidence From Meta-Analysis and Mendelian Randomization.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 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

9 authors at 3 institutions in 1 country.

Jiachen Wang *Department of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, 710054, Xi'an, Shaanxi, China.
Menghao Teng *Department of Orthopedics, The First Affiliated Hospital of Xi'an Jiaotong University, 710054, Xi'an, Shaanxi, China.
Ruoyang FengDepartment of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, 710054, Xi'an, Shaanxi, China.
Xiaochen SuDepartment of Orthopedics, The First Affiliated Hospital of Xi'an Jiaotong University, 710054, Xi'an, Shaanxi, China.
Ke XuDepartment of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, 710054, Xi'an, Shaanxi, China.
Junxiang WangDepartment of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, 710054, Xi'an, Shaanxi, China.
Guoqiang WangDepartment of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, 710054, Xi'an, Shaanxi, China.
Yulong ZhangDepartment of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, 710054, Xi'an, Shaanxi, China.
Peng XuDepartment of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, 710054, Xi'an, Shaanxi, China. sousou369@163.com.
Xi'an Honghui Hospital · CNXi'an Jiaotong University · CNFirst Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to reveal the association between the gut microbiota (GM) and six diabetic complications: diabetic hypoglycemia; ketoacidosis; nephropathy; neuropathy; retinopathy; and Charcot's foot.

methodsGM data were obtained from the MiBioGen consortium and Dutch Microbiome Project while data on the six diabetic complications were obtained from the FinnGen consortium. Two-sample Mendelian randomization (TSMR) was performed to explore the association between GM and the common diabetic complications. Inverse MR analysis was conducted to examine the effect of diabetic complications on the identified GM. Sensitivity tests were conducted to validate the stability of the results. Finally, multivariate MR (MVMR) was performed to determine whether GM had a direct influence on the diabetic complications.

resultsAfter multiple corrections, the inverse variance weighted (IVW) results predicted 61 suggestive markers between GM and six diabetic complications. In particular, the IVW results revealed that the Bacteroidia class and Bacteroidales order were positively associated with diabetic hypoglycemia while the Verrucomicrobiae class and Verrucomicrobiales order were positively associated with diabetic nephropathy. Based on the replication analysis, these results were identified to be stable. MVMR showed that the results remained stable after accounting for traditional risk factors.

conclusionExtensive causal associations were found between GM and diabetic complications, which may provide new insights into the mechanisms of microbiome-mediated complications of diabetes.

Indexed as

Complications of diabetesGenome-wise association studiesGut microbiotaMendelian randomization studySingle-nucleotide polymorphism

Identifiers

PMID38481313
PMCPMC10935953
OpenAlexW4392752180

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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.