Comparative Analysis of Growth Dynamics and Relative Abundances of Gut Microbiota Influenced by Ketogenic Diet.

Mi Tang, Zhidong Zhang, Liyuan Lin, Junling Niu, Guangxun Meng, Wei Wang, Jiwen Wang, Yingyan Wang

Abstract read

In one paragraph

Article in Phenomics (Cham, Switzerland), 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.

From cooperation to collapse: the diet-microbiota-host gene triad in disease and aging.Frontiers in microbiomes · 2026
Review
Ketogenic metabolic therapy: low-carbohydrate interventions as novel neuroprotective strategies for cognitive dysfunction in diabetes.Frontiers in aging neuroscience · 2026
Review
Modulation of Gut Microbiome and Metabolome as One of the Potential Mechanisms of Ketogenic Diet Effect in the Treatment of Epilepsy.Nutrients · 2025
Review
Alteration of Gut Microbiota by Ketogenic Diet as an Alternative Therapeutic Target for Drug-Resistant Epilepsy.Microorganisms · 2025
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.

Mi Tang *Department of Neurology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127 China.

Zhidong Zhang *State Key Laboratory of Genetic Engineering, Department of Microbiology, Fudan Microbiome Center, School of Life Sciences, Fudan University, Shanghai, 200438 China.

Liyuan LinInstitute of Molecular Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127 China.

Junling NiuThe Center for Microbes, Development, and Health, Key Laboratory of Immune Response and Immunotherapy, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai, 200031 China.

Guangxun MengThe Center for Microbes, Development, and Health, Key Laboratory of Immune Response and Immunotherapy, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai, 200031 China.

Wei WangState Key Laboratory of Genetic Engineering, Department of Microbiology, Fudan Microbiome Center, School of Life Sciences, Fudan University, Shanghai, 200438 China.ORCID 0000-0002-5539-4532

Jiwen WangDepartment of Neurology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127 China.

Yingyan WangDepartment of Neurology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although the compositional alterations of gut bacteria in ketogenic diet (KD) have been intensively investigated, the causal relationship between this extreme diet and the microbiota changes is not fully understood. Here, we studied the growth dynamics of intestinal bacteria in KD. We used the CoPTR method to calculate the peak-to-trough ratio (PTR) based on metagenomic sequencing data, serving as an indicator of bacterial growth rates. Notably, Supplementary Information: The online version contains supplementary material available at 10.1007/s43657-025-00228-7.

Indexed as

Bacterial Growth RatesCompute peak-to-trough RatioGut MicrobiotaKetogenic diet

Identifiers

PMID40313600

DOI10.1007/s43657-025-00228-7

PMCPMC12040800

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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.