Evidence map›Paper›PMID 41162426›Full record

ArticleNPJ science of food2025

Comprehensive multi omics explore the microbial function in metabolic pathway flow during altered diet.

Yiming Zhao, Siqi Yao, Abdulrahim Umar, Jing Huang, Shuijiao Chen, Zheng Yu

Abstract read
In one paragraph

Article in NPJ science of food, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
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  3. Review
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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

6 authors.

Yiming Zhao *Human Microbiome and Health Group, Department of Microbiology, Xiangya School of Basic Medical Science, Central South University, Changsha, Hunan, China.
Siqi Yao *Human Microbiome and Health Group, Department of Microbiology, Xiangya School of Basic Medical Science, Central South University, Changsha, Hunan, China.
Abdulrahim UmarHuman Microbiome and Health Group, Department of Microbiology, Xiangya School of Basic Medical Science, Central South University, Changsha, Hunan, China.
Jing HuangHuman Microbiome and Health Group, Department of Microbiology, Xiangya School of Basic Medical Science, Central South University, Changsha, Hunan, China.
Shuijiao ChenDepartment of Gastroenterology, Xiangya Hospital Central South University, Changsha, China. shuijiaoxy@csu.edu.cn.
Zheng YuHuman Microbiome and Health Group, Department of Microbiology, Xiangya School of Basic Medical Science, Central South University, Changsha, Hunan, China. yuzheng@csu.edu.cn.

Funding

Central South University Innovation-Driven Research Programme 2023CXQD059China Postdoctoral Science Foundation 2022M713521National Natural Science Foundation of China 32170071National Natural Science Foundation of China 82270564Natural Science Foundation of Hunan Province 2022JJ30916
6 · The paper itself

Abstract

High-protein diet (HPD) and high-fiber diet (HFiD) are two common types of diet, and the transition from HPD to HFiD frequently happens in people who perform diet control. Gut microbiota provide a bridge between diet and health. However, most of the research left out the metabolic landscape change and gut microbial influence under this kind of altered diet. Here, we examined gut microbiome and metabolites change using multi-omics (16S rRNA gene sequencing, shotgun metagenomics, LC-MS/MS metabolomics), and machine-learning methods were introduced to capture the response of gut microbiota to altered diet and associate the variable metabolites and microbial factors. The results suggest that the conversion from HPD to HFiD improves the gut microbial diversity and promotes the pathways of tryptophan, galactose, fructose, and mannose metabolism, which are associated with different gut microbiota and special metabolites. Among them, Faecalibacterium rodentium and Akkermansia muciniphila indicate potential roles in the multi-metabolism. Although these findings are exploratory and hypothesis-generating, they provide a foundation for future mechanistic investigations and emphasize the importance of diverse diets.

Identifiers

PMID41162426
PMCPMC12572146

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Registered trials

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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.