Evidence map›Paper›PMID 35764724›Full record

ArticleEuropean journal of nutrition2022

Dietary variety relates to gut microbiota diversity and abundance in humans.

Xueran Huang, Yongfen Gao, Wanrong Chen, Qiantu Hu, Zouyan He, Xi Wang, Dan Li, Rui Lin

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In one paragraph

Article in European journal of nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–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

17 citing papers in PubMed.

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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

8 authors.

Xueran Huang *Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, China.
Yongfen Gao *Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, China.
Wanrong Chen *Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, China.
Qiantu HuCenter for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, China.
Zouyan HeDepartment of Nutrition and Food Hygiene, School of Public Health, Guangxi Medical University, Nanning, 530021, China.
Xi WangCenter for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, China.
Dan LiThe Third Affiliated Hospital of Guangxi Medical University, Nanning Second Peoples Hospital, Nanning, 530031, China. ankongking@vip.qq.com.
Rui LinCenter for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, China. linrui@gxmu.edu.cn.ORCID http://orcid.org/0000-0002-3846-9301

Funding

National Natural Science Foundation of China 81660540National Natural Science Foundation of China 82060593Natural Science Foundation of Guangxi Province 2018GXNSFDA050019
6 · The paper itself

Abstract

purposeWe aim to investigate the relationship between gut microbiota and dietary variety in a Chinese population using Dietary Variety Score (DVS), an index of dietary variety, as little has studied the relationship of dietary variety and gut microbiota in a general population.

methodsIn this cross-sectional study, recruited participants were conducted with face-to-face interview to collect information on 24-h food intake and dietary consumption using a valid food frequency questionnaire. Subjects (n = 128) were divided as high and low DVS groups by the median of DVS after rigorously matching for confounding factors. The gut microbiota was assessed by 16S rRNA sequencing and the correlations between key phylotypes and DVS, Index of Nutritional Quality (INQ) and clinical indices were examined using generalized linear model in negative binomial regression.

resultsHigher score of DVS, INQVB6, INQVE and INQZn exhibited higher α-diversity. DVS was correlated with INQ and six genera. Among the DVS-correlated genera, Turicibacter, Alistipes and Barnesiella were positively correlated with INQVE, INQZn and INQCu, individually or in combination, while Cetobacterium was negatively correlated with INQCu, INQZn and INQVE. The abundance of Coprococcus and Barnesiella increased with the elevated cumulative scores of INQVE, INQVB6 and INQZn. The combination of Alistipes, Roseburia and Barnesiella could moderately predict dietary variety status.

conclusionHigher DVS was correlated with higher microbial diversity and more abundance of some potentially beneficial bacteria but with less some potentially pathogenic bacteria. A high variety dietary, therefore, should be recommended in our daily life.

Indexed as

Gastrointestinal MicrobiomeCross-Sectional StudiesDietHumansNutritional StatusRNA, Ribosomal, 16SRNA, Ribosomal, 16SCumulative effectDietary diversityDietary variety scoreGut microbiotaIndex of nutritional quality

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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.