Evidence map›Paper›PMID 37325710›Full record

ReviewPhenomics (Cham, Switzerland)2023

Diets, Gut Microbiota and Metabolites.

Yilian Liu, Wanglei Zhong, Xiao Li, Feng Shen, Xiaonan Ma, Qi Yang, Shangyu Hong, Yan Sun

Abstract readReview
In one paragraph

Review in Phenomics (Cham, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

  1. Pooled it
  2. Review
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  8. Review
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  18. The AntioxidantAntioxidants (Basel, Switzerland) · 2024
    Article
  19. Article
  20. Impact of NAD+ metabolism on ovarian aging.Immunity & ageing : I & A · 2023
    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

8 authors.

Yilian Liu *State Key Laboratory of Genetic Engineering and School of Life Sciences, Human Phenome Institute, Fudan University, 2005 Songhu Road, Yangpu District, Shanghai, 200433 China.ORCID 0000-0002-7642-7727
Wanglei Zhong *State Key Laboratory of Genetic Engineering and School of Life Sciences, Human Phenome Institute, Fudan University, 2005 Songhu Road, Yangpu District, Shanghai, 200433 China.ORCID 0000-0001-9966-2378
Xiao Li *State Key Laboratory of Genetic Engineering and School of Life Sciences, Human Phenome Institute, Fudan University, 2005 Songhu Road, Yangpu District, Shanghai, 200433 China.ORCID 0000-0002-8733-813X
Feng Shen *Department of Hepatobiliary Surgery, Dongfeng Hospital, Hubei University of Medicine, Shiyan, 442001 Hubei China.ORCID 0000-0003-1304-3141
Xiaonan MaState Key Laboratory of Genetic Engineering and School of Life Sciences, Human Phenome Institute, Fudan University, 2005 Songhu Road, Yangpu District, Shanghai, 200433 China.ORCID 0000-0001-6485-0184
Qi YangState Key Laboratory of Genetic Engineering and School of Life Sciences, Human Phenome Institute, Fudan University, 2005 Songhu Road, Yangpu District, Shanghai, 200433 China.ORCID 0000-0003-0570-2215
Shangyu HongState Key Laboratory of Genetic Engineering and School of Life Sciences, Human Phenome Institute, Fudan University, 2005 Songhu Road, Yangpu District, Shanghai, 200433 China.ORCID 0000-0001-6144-5618
Yan SunMasonic Medical Research Institute, 2150 Bleecker St, Utica, NY 13501 USA.ORCID 0000-0002-8776-0832

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The gut microbiota refers to the gross collection of microorganisms, estimated trillions of them, which reside within the gut and play crucial roles in the absorption and digestion of dietary nutrients. In the past decades, the new generation 'omics' (metagenomics, transcriptomics, proteomics, and metabolomics) technologies made it possible to precisely identify microbiota and metabolites and describe their variability between individuals, populations and even different time points within the same subjects. With massive efforts made, it is now generally accepted that the gut microbiota is a dynamically changing population, whose composition is influenced by the hosts' health conditions and lifestyles. Diet is one of the major contributors to shaping the gut microbiota. The components in the diets vary in different countries, religions, and populations. Some special diets have been adopted by people for hundreds of years aiming for better health, while the underlying mechanisms remain largely unknown. Recent studies based on volunteers or diet-treated animals demonstrated that diets can greatly and rapidly change the gut microbiota. The unique pattern of the nutrients from the diets and their metabolites produced by the gut microbiota has been linked with the occurrence of diseases, including obesity, diabetes, nonalcoholic fatty liver disease, cardiovascular disease, neural diseases, and more. This review will summarize the recent progress and current understanding of the effects of different dietary patterns on the composition of gut microbiota, bacterial metabolites, and their effects on the host's metabolism.

Indexed as

DietsGut microbiotaMetabolic diseasesMetabolitesNutrients

Identifiers

PMID37325710
PMCPMC10260722

What OpenQuestion holds

Textmetadata
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.