Evidence map›Paper›PMID 31160598›Full record

ArticleNature communications2019

Sex-specific association between gut microbiome and fat distribution.

Yan Min, Xiaoguang Ma, Kris Sankaran, Yuan Ru, Lijin Chen, Mike Baiocchi, Shankuan Zhu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing 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

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

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9 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

7 authors.

Yan MinStanford Prevention Research Center, Stanford School of Medicine, Stanford, CA 94305, USA.ORCID http://orcid.org/0000-0002-7775-3153
Xiaoguang MaDepartment of Nutrition and Food Hygiene, School of Public Health, Zhejiang University, Hangzhou, 310058, China.
Kris SankaranDepartment of Statistics, Stanford University, Stanford, CA 94305, USA.
Yuan RuDepartment of Nutrition and Food Hygiene, School of Public Health, Zhejiang University, Hangzhou, 310058, China.
Lijin ChenDepartment of Nutrition and Food Hygiene, School of Public Health, Zhejiang University, Hangzhou, 310058, China.
Mike BaiocchiStanford Prevention Research Center, Stanford School of Medicine, Stanford, CA 94305, USA. baiocchi@stanford.edu.
Shankuan ZhuDepartment of Nutrition and Food Hygiene, School of Public Health, Zhejiang University, Hangzhou, 310058, China. zsk@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The gut microbiome has been linked to host obesity; however, sex-specific associations between microbiome and fat distribution are not well understood. Here we show sex-specific microbiome signatures contributing to obesity despite both sexes having similar gut microbiome characteristics, including overall abundance and diversity. Our comparisons of the taxa associated with the android fat ratio in men and women found that there is no widespread species-level overlap. We did observe overlap between the sexes at the genus and family levels in the gut microbiome, such as Holdemanella and Gemmiger; however, they had opposite correlations with fat distribution in men and women. Our findings support a role for fat distribution in sex-specific relationships with the composition of the microbiome. Our results suggest that studies of the gut microbiome and abdominal obesity-related disease outcomes should account for sex-specific differences.

Indexed as

Body Fat DistributionAbsorptiometry, PhotonAdultAgedFemaleGastrointestinal MicrobiomeHumansMaleMiddle AgedRNA, Ribosomal, 16SSex FactorsRNA, Ribosomal, 16S

Identifiers

PMID31160598
PMCPMC6546740

What OpenQuestion holds

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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.