Evidence map›Paper›PMID 40164832›Full record

ArticleNature microbiology2025

Gut metagenomes reveal interactions between dietary restriction, ageing and the microbiome in genetically diverse mice.

Lev Litichevskiy, Maya Considine, Jasleen Gill, Vasuprada Shandar, Timothy O Cox, Hélène C Descamps, Kevin M Wright, Kevin R Amses, Lenka Dohnalová, Megan J Liou and 33 more

Abstract read
In one paragraph

Article in Nature microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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  9. 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

43 authors.

Lev LitichevskiyDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-0510-4509
Maya ConsidineDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Jasleen GillDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0003-3091-3102
Vasuprada ShandarDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Timothy O CoxDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-7232-5096
Hélène C DescampsDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0001-5591-5839
Kevin M WrightCalico Life Sciences LLC, South San Francisco, CA, USA.
Kevin R AmsesDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Lenka DohnalováDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Megan J LiouDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Monika TetlakDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Mario R Galindo-FiallosDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0009-0009-6200-502X
Andrea C WongDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Patrick LundgrenDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Junwon KimDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-6512-2928
Giulia T UhrDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Ryan J RahmanDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Sydney MasonDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Carter MerensteinDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Frederic D BushmanDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0003-4740-4056
Anil RajCalico Life Sciences LLC, South San Francisco, CA, USA.
Fiona HardingCalico Life Sciences LLC, South San Francisco, CA, USA.ORCID http://orcid.org/0000-0003-3817-1203
Zhenghao ChenCalico Life Sciences LLC, South San Francisco, CA, USA.
G V PrateekCalico Life Sciences LLC, South San Francisco, CA, USA.
Martin MullisCalico Life Sciences LLC, South San Francisco, CA, USA.
Andrew G DeighanThe Jackson Laboratory, Bar Harbor, ME, USA.
Laura RobinsonThe Jackson Laboratory, Bar Harbor, ME, USA.
Ceylan TanesDivision of Gastroenterology, Hepatology, and Nutrition, Children's Hospital of Philadelphia, Perelman School of Medicine, Philadelphia, PA, USA.
Kyle BittingerDivision of Gastroenterology, Hepatology, and Nutrition, Children's Hospital of Philadelphia, Perelman School of Medicine, Philadelphia, PA, USA.
Meenakshi ChakrabortyDepartment of Genetics, Stanford University, Stanford, CA, USA.
Ami S BhattDepartment of Genetics, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-8099-2975
Hongzhe LiCenter for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Ian BarnettDepartment of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Emily R DavenportDepartment of Biology, Pennsylvania State University, University Park, PA, USA.ORCID http://orcid.org/0000-0002-6938-4933
Karl W BromanDepartment of Biostatistics & Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA.ORCID http://orcid.org/0000-0002-4914-6671
Maayan LevyDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Robert L CohenCalico Life Sciences LLC, South San Francisco, CA, USA.ORCID http://orcid.org/0009-0002-2355-1705
David BotsteinCalico Life Sciences LLC, South San Francisco, CA, USA.
Adam FreundCalico Life Sciences LLC, South San Francisco, CA, USA.
Andrea Di FrancescoCalico Life Sciences LLC, South San Francisco, CA, USA.ORCID http://orcid.org/0000-0001-6867-8203
Gary A ChurchillThe Jackson Laboratory, Bar Harbor, ME, USA.ORCID http://orcid.org/0000-0001-9190-9284
Mingyao LiDepartment of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0001-8180-0621
Christoph A ThaissDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. thaiss@stanford.edu.ORCID http://orcid.org/0000-0001-8226-7718

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
INSTITUTIONAL TRAINING GRANT IN GENOME SCIENCET32HG000044 · NHGRI · STANFORD UNIVERSITY · PI MICHAEL P. SNYDER · 1995 to 2026
$32.2M
Translational CoreP30AG038070 · NIA · JACKSON LABORATORY · PI John Matthew Mahoney · 2010 to 2026
$19.3M
Training Program in Computational GenomicsT32HG000046 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI JUNHYONG KIM, Mingyao Li · 1999 to 2026
$9.5M
Elucidation of Tissue-Specific Transcriptomic Profiles in Cardiometabolic DiseaseR01HL113147 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI LI, MINGYAO, REILLY, MUREDACH P · 2012 to 2022
$6.8M
Deconstructing and Modeling the Single Cell Architecture of the Age-Related Macular Degeneration Retina and RPE/ChoroidR01EY031209 · NEI · UNIVERSITY OF PENNSYLVANIA · PI DEANGELIS, MARGARET M, LI, MINGYAO · 2020 to 2024
$2.7M
Computational and functional strategies to decipher lncRNAs in human atherosclerosisR01HL150359 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LI, MINGYAO, REILLY, MUREDACH P · 2020 to 2023
$2.7M
Single-Cell Transcriptomic Analysis of Human RetinaR01EY030192 · NEI · UNIVERSITY OF PENNSYLVANIA · PI LI, MINGYAO · 2019 to 2022
$2.6M
A conserved function of amyloid proteins in host-microbiome interactionsDP2AG067492 · NIA · UNIVERSITY OF PENNSYLVANIA · PI THAISS, CHRISTOPH ALEXANDER · 2019 to 2019
$2.4M
Defining non-genetic mechanisms that prevent death in a Hirschsprung disease mouse modelR01DK129691 · NIDDK · CHILDREN'S HOSP OF PHILADELPHIA · PI HEUCKEROTH, ROBERT O · 2021 to 2024
$2.3M
Memory in the enteric nervous systemDP1DK140021 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI Christoph Alexander Thaiss · 2024 to 2026
$2.3M
Characterizing human-microbiome interactions via molecular and functional genomic approaches - Equipment SupplementR35GM146980 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI Emily R. Davenport · 2022 to 2026
$2.1M
NCATS NIH HHS UL1 TR001873NEI NIH HHS R01 EY030192NEI NIH HHS R01 EY031209NHGRI NIH HHS T32 HG000044NHGRI NIH HHS T32 HG000046NHLBI NIH HHS R01 HL113147NHLBI NIH HHS R01 HL150359NIA NIH HHS DP2 AG067492NIA NIH HHS F30 AG080958NIA NIH HHS P30 AG038070NIDDK NIH HHS DP1 DK140021NIDDK NIH HHS R01 DK129691NIGMS NIH HHS R01 GM125301NIGMS NIH HHS R35 GM146980NINDS NIH HHS R01 NS134976
6 · The paper itself

Abstract

The gut microbiome changes with age and has been proposed to mediate the benefit of lifespan-extending interventions such as dietary restriction. However, the causes and consequences of microbiome ageing and the potential of such interventions remain unclear. Here we analysed 2,997 metagenomes collected longitudinally from 913 deeply phenotyped, genetically diverse mice to investigate interactions between the microbiome, ageing, dietary restriction (caloric restriction and fasting), host genetics and a range of health parameters. Among the numerous age-associated microbiome changes that we find in this cohort, increased microbiome uniqueness is the most consistent parameter across a second longitudinal mouse experiment that we performed on inbred mice and a compendium of 4,101 human metagenomes. Furthermore, cohousing experiments show that age-associated microbiome changes may be caused by an accumulation of stochastic environmental exposures (neutral theory) rather than by the influence of an ageing host (selection theory). Unexpectedly, the majority of taxonomic and functional microbiome features show small but significant heritability, and the amount of variation explained by host genetics is similar to ageing and dietary restriction. We also find that more intense dietary interventions lead to larger microbiome changes and that dietary restriction does not rejuvenate the microbiome. Lastly, we find that the microbiome is associated with multiple health parameters, including body composition, immune components and frailty, but not lifespan. Overall, this study sheds light on the factors influencing microbiome ageing and aspects of host physiology modulated by the microbiome.

Indexed as

AgingCaloric RestrictionGastrointestinal MicrobiomeMetagenomeAnimalsFemaleHumansLongevityMaleMiceMice, Inbred C57BL

Identifiers

PMID40164832
PMCPMC12360852

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.