Evidence map›Paper›PMID 41995076›Full record

ArticleeLife2026

Uncovering shared and tissue-specific molecular adaptations to intermittent fasting in liver, brain, and muscle.

Yibo Fan, Senuri De Silva, Nishat I Tabassum, Xiangyuan Peng, Vernise J T Lim, Xiangru Cheng, Keshava K Datta, Rohan Lowe, Terrance G Johns, Mark P Mattson and 9 more

Abstract read
In one paragraph

Article in eLife, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

19 authors.

Yibo Fan *Department of Microbiology, Anatomy, Physiology and Pharmacology, School of Agriculture, Biomedicine and Environment, La Trobe University, Melbourne, Australia.
Senuri De Silva *Translational Biomedical Proteomics Laboratory, Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore, Singapore.
Nishat I TabassumDepartment of Microbiology, Anatomy, Physiology and Pharmacology, School of Agriculture, Biomedicine and Environment, La Trobe University, Melbourne, Australia.ORCID https://orcid.org/0009-0004-8388-5074
Xiangyuan PengDepartment of Microbiology, Anatomy, Physiology and Pharmacology, School of Agriculture, Biomedicine and Environment, La Trobe University, Melbourne, Australia.
Vernise J T LimDepartment of Microbiology, Anatomy, Physiology and Pharmacology, School of Agriculture, Biomedicine and Environment, La Trobe University, Melbourne, Australia.
Xiangru ChengDepartment of Microbiology, Anatomy, Physiology and Pharmacology, School of Agriculture, Biomedicine and Environment, La Trobe University, Melbourne, Australia.
Keshava K DattaLa Trobe University-Proteomics and Metabolomics Platform (LTU-PMP), La Trobe Institute for Molecular Science, La Trobe University, Melbourne, Australia.
Rohan LoweLa Trobe University-Proteomics and Metabolomics Platform (LTU-PMP), La Trobe Institute for Molecular Science, La Trobe University, Melbourne, Australia.
Terrance G JohnsEpigenes Australia Pty Ltd, Melbourne, Australia.ORCID https://orcid.org/0000-0002-8874-4543
Mark P MattsonDepartment of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, United States.
Suresh MathivananLa Trobe Institute for Molecular Science, La Trobe University, Melbourne, Australia.
Christopher G SobeyDepartment of Microbiology, Anatomy, Physiology and Pharmacology, School of Agriculture, Biomedicine and Environment, La Trobe University, Melbourne, Australia.ORCID https://orcid.org/0000-0001-6525-9097
Eitan OkunThe Paul Feder laboratory for Alzheimer's disease research at the Mina and Everard Goodman Faculty of Life Sciences, and the Leslie and Susan Gonda Multidisciplinary Brain Research Center, Bar Ilan University, Ramat Gan, Israel.ORCID https://orcid.org/0000-0001-8474-1487
Yong U LiuLaboratory for Neuroimmunology in Health and Disease, Center for Medical Research on Innovation and Translation, The Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, China.
Guobing ChenDepartment of Microbiology and Immunology, School of Medicine; Institute of Geriatric Immunology, School of Medicine, Jinan University, Guangzhou, China.
Mitchell Kim Peng LaiDepartment of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID https://orcid.org/0000-0001-7685-1424
Dong-Gyu JoSchool of Pharmacy, Sungkyunkwan University, Suwon, Republic of Korea.
Jayantha GunaratneTranslational Biomedical Proteomics Laboratory, Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore, Singapore.ORCID https://orcid.org/0000-0002-5377-6537
Thiruma V ArumugamDepartment of Microbiology, Anatomy, Physiology and Pharmacology, School of Agriculture, Biomedicine and Environment, La Trobe University, Melbourne, Australia.ORCID https://orcid.org/0000-0002-3377-0939

Funding

National Health and Medical Research Council 2019100
6 · The paper itself

Abstract

Intermittent fasting (IF) has emerged as a powerful dietary intervention with profound metabolic benefits, yet the tissue-specific molecular mechanisms underlying these effects remain poorly understood. In this study, we employed comprehensive proteomics and transcriptomics analysis to investigate the systemic and organ-specific adaptations to IF in male C57BL/6 mice. Following a 16 hr daily fasting regimen (IF16) over 4 months, IF reduced blood glucose, HbA1c, and cholesterol levels while increasing ketone bodies, indicative of enhanced metabolic flexibility. Proteomic profiling of the liver, skeletal muscle, and cerebral cortex revealed tissue-specific responses, with the liver exhibiting the most pronounced changes, including upregulation of pathways involved in fatty acid oxidation, ketogenesis, and glycan degradation, and downregulation of steroid hormone and cholesterol metabolism. In muscle, IF enhanced pyruvate metabolism, fatty acid biosynthesis, and AMPK signaling, while suppressing oxidative phosphorylation and thermogenesis. The cerebral cortex displayed unique adaptations, with upregulation of autophagy, PPAR signaling, and metabolic pathways, and downregulation of TGF-beta and p53 signaling, suggesting a shift toward energy conservation and stress resilience. Notably, Serpin A1c emerged as the only protein commonly upregulated across all three tissues, highlighting its potential role in systemic adaptation to IF. Integrative transcriptomic and proteomic analyses revealed partial concordance between mRNA and protein expression, underscoring the complexity of post-transcriptional regulation. Shared biological signaling processes were identified across tissues, suggesting unifying mechanisms linking metabolic changes to cellular communication. Our findings reveal both conserved and tissue-specific responses by which IF may optimize energy utilization, enhance metabolic flexibility, and promote cellular resilience.

Indexed as

Adaptation, PhysiologicalBrainFastingLiverMuscle, SkeletalAnimalsGene Expression ProfilingIntermittent FastingMaleMiceMice, Inbred C57BLProteomeProteomicsProteomebioinformaticscell biologyintermittent fastingmedicinemetabolic reprogrammingmouseproteomicsSerpin A1ctranscriptomics

Identifiers

PMID41995076
PMCPMC13090031

What Socratic holds

Textmetadata
LicenceCC BY
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.