Evidence map›Paper›PMID 38189041›Full record

ArticleFrontiers in endocrinology2023

Associations of genetic variants contributing to gut microbiota composition in diabetic nephropathy.

Xiao Lu, Junjun Ma, Lili Guo, Wei Wu, Rongshan Li

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 1 country.

Xiao LuDepartment of Nephrology, Fifth Hospital of Shanxi Medical University (Shanxi Provincial People's Hospital), Taiyuan, China.
Junjun MaDepartment of Thoracic Surgery, Fifth Hospital of Shanxi Medical University (Shanxi Provincial People's Hospital), Taiyuan, China.
Lili GuoShanxi Provincial Key Laboratory of Kidney Disease, Fifth Hospital of Shanxi Medical University (Shanxi Provincial People's Hospital), Taiyuan, China.
Wei WuDepartment of Clinical Laboratory, Fifth Hospital of Shanxi Medical University (Shanxi Provincial People's Hospital), Taiyuan, China.
Rongshan LiDepartment of Clinical Laboratory, Fifth Hospital of Shanxi Medical University (Shanxi Provincial People's Hospital), Taiyuan, China.
Shanxi Medical University · CNSecond Hospital of Shanxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The gut microbiota is strongly associated with multiple kidney diseases, and since microbial composition is heritable, we hypothesized that genetic variations controlling gut microbiota composition were associated with diabetic nephropathy susceptibility or clinical subphenotypes. Methods: The genetic variations associated with gut microbiota were retrieved from the genome-wide association study database and analysed in our diabetic nephropathy susceptibility gene screening cohort. Candidate microorganisms with possible genetic associations were identified using the annotation of microbial quantitative trait loci. Finally, the candidate microorganisms were verified by 16S rDNA gene sequencing. Results: There were 13 genetic variation loci associated with susceptibility to diabetic nephropathy. The TCF7L2 risk genotype was associated with a long duration of diabetes and high diastolic blood pressure, the ZCWPW2 risk genotype was associated with increased glycosylated hemoglobin, and the ZNRF3 risk genotype was associated with an increased urinary microalbumin-to-creatinine ratio. Both the ZNRF3 and SPECC1L risk genotypes were associated with the abundance of Lactococcus. 16S rDNA sequencing confirmed that there was indeed a significant difference in the Lactococcus genus between DN and DM patients. Conclusions: In this study, we preliminarily confirmed that the gut microbiota of diabetic nephropathy patients is influenced by host genetics and provide a new basis for future accurate diagnosis and treatment.

Indexed as

Diabetes MellitusDiabetic NephropathiesGastrointestinal MicrobiomeDNA, RibosomalGenome-Wide Association StudyHumansQuantitative Trait LociDNA, Ribosomaldiabetes mellitusdiabetic nephropathygut microbiotamicrobial quantitative trait locussusceptibility genes

Identifiers

PMID38189041
PMCPMC10771622
OpenAlexW4390006736

What OpenQuestion holds

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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.