Evidence map›Paper›PMID 41102214›Full record

ArticleScientific reports2025

Deficiencies in methionine, tryptophan, and niacin remodels intestinal transcriptome and gut microbiota in female mice.

Tomoaki Hara, Sikun Meng, Daisuke Motooka, Yasuko Arao, Yoshiko Saito, Sarah Rennie, Shizuka Uchida, Ken Ofusa, Takahiro Arai, Masamitsu Konno and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Tomoaki HaraDepartment of Medical Data Science, Center of Medical Innovation and Translational Research, Osaka University Graduate School of Medicine, Yamadaoka 2-2, Suita, Osaka, 565-0871, Japan.
Sikun MengDepartment of Medical Data Science, Center of Medical Innovation and Translational Research, Osaka University Graduate School of Medicine, Yamadaoka 2-2, Suita, Osaka, 565-0871, Japan.
Daisuke MotookaGenome Information Research Center, Research Institute for Microbial Diseases, Osaka University, Suita, Osaka, 565-0871, Japan.
Yasuko AraoDepartment of Medical Data Science, Center of Medical Innovation and Translational Research, Osaka University Graduate School of Medicine, Yamadaoka 2-2, Suita, Osaka, 565-0871, Japan.
Yoshiko SaitoDepartment of Medical Data Science, Center of Medical Innovation and Translational Research, Osaka University Graduate School of Medicine, Yamadaoka 2-2, Suita, Osaka, 565-0871, Japan.
Sarah RennieSection for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark.
Shizuka UchidaCenter for RNA Medicine, Department of Clinical Medicine, Aalborg University, DK-2450, Copenhagen SV, Denmark.
Ken OfusaDepartment of Medical Data Science, Center of Medical Innovation and Translational Research, Osaka University Graduate School of Medicine, Yamadaoka 2-2, Suita, Osaka, 565-0871, Japan.
Takahiro AraiDepartment of Medical Data Science, Center of Medical Innovation and Translational Research, Osaka University Graduate School of Medicine, Yamadaoka 2-2, Suita, Osaka, 565-0871, Japan.
Masamitsu KonnoDepartment of Medical Data Science, Center of Medical Innovation and Translational Research, Osaka University Graduate School of Medicine, Yamadaoka 2-2, Suita, Osaka, 565-0871, Japan.
Taroh SatohDepartment of Gastroenterological Surgery, Osaka University Graduate School of Medicine, Yamadaoka 2-2, Suita, 565-0871, Japan.
Hideshi IshiiDepartment of Medical Data Science, Center of Medical Innovation and Translational Research, Osaka University Graduate School of Medicine, Yamadaoka 2-2, Suita, Osaka, 565-0871, Japan. hishii@gesurg.med.osaka-u.ac.jp.

Funding

Japan Agency for Medical Research and Development JP23ym0126809 and JP24ym0126809Ministry of Education, Culture, Sports, Science and Technology 19K22658, 20H00541, 21K19526, 22H03146, 22K19559, 23K19505, 23K18313, 23KK0153, 24K22144, and 16H06279 (PAGS)
6 · The paper itself

Abstract

Caloric restriction is well-established as a robust intervention that may extend lifespan and improve metabolic health across species with effects that are increasingly attributed to both host metabolic remodeling and alterations in the gut microbiota. Recent studies suggest that restricting specific dietary components can replicate these benefits. While methionine and branched-chain amino acid restriction improve metabolism and modulate the gut microbiome, the effects of other nutrients remain unclear. Here, we explore the effects of methionine, tryptophan and niacin deprivation on host intestinal gene expression and gut microbiota using female murine models. Through transcriptomic analysis of the intestinal tissue, we found that transient dietary restriction of methionine, tryptophan, and niacin induced significant changes in intestinal gene expression, particularly in genes involved in oxidative phosphorylation and ATP production. Single-cell analysis revealed that dietary restriction of those nutrients led to an increase in intestinal immune cell populations. Gut microbiota profiling also revealed that transient deprivation of those nutrients resulted in changes in microbial composition, with an increased relative abundance of Lactobacillus species observed in some cases. Our findings highlight the potential of targeted nutrient restriction as a strategy to reprogram host-microbiome interactions.

Indexed as

Gastrointestinal MicrobiomeIntestinesMethionineNiacinTranscriptomeTryptophanAnimalsCaloric RestrictionFemaleMiceMice, Inbred C57BLMethionineNiacinTryptophanAnd niacin restriction (MTNR)Gut microbiotaIntestinal transcriptomeMethionineMethionine restriction (MR)TryptophanTryptophan and niacin restriction (TNR)

Identifiers

PMID41102214
PMCPMC12533107

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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.