Evidence map›Paper›PMID 39569747›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Ucp1 Ablation Improves Skeletal Muscle Glycolytic Function in Aging Mice.

Jin Qiu, Yuhan Guo, Xiaozhen Guo, Ziqi Liu, Zixuan Li, Jun Zhang, Yutang Cao, Jiaqi Li, Shuwu Yu, Sainan Xu and 10 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Ablation of UCP-1+ cells impacts FAP dynamics in muscle regeneration.American journal of physiology. Cell physiology · 2025
    Article
  3. Article
  4. Article
  5. Ucp1 Ablation Improves Skeletal Muscle Glycolytic Function in Aging Mice.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
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

20 authors.

Jin QiuShanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China.
Yuhan GuoShanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China.
Xiaozhen GuoState Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
Ziqi LiuShanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China.
Zixuan LiShanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China.
Jun ZhangShanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China.
Yutang CaoSchool of Chinese Materia Medica, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Jiaqi LiState Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
Shuwu YuState Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
Sainan XuShanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China.
Juntong ChenShanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China.
Dongmei WangShanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China.
Jian YuShanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China.
Mingwei GuoShanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China.
Wenhao ZhouShanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China.
Sainan WangShanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China.
Yiwen WangShanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China.
Xinran MaShanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China.ORCID 0000-0003-4968-6536
Cen XieState Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
Lingyan XuShanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China.

Funding

China Postdoctoral Science Foundation 2022M721159Fundamental Research Funds for the Central UniversitiesNational Key Research and Development Program of China 2023YFA1800400National Natural Science Foundation of China 32071148National Natural Science Foundation of China 32222024National Natural Science Foundation of China 32271224National Natural Science Foundation of China 32325024National Natural Science Foundation of China 82222071Natural Science Foundation of Chongqing CSTB2022NSCQJQX0033Science and Technology Commission of ShanghaiScience and Technology Commission of Shanghai Municipality 22ZR1421200Science and Technology Innovation Action Plan 21140904300Strategic Priority Research Program of the Chinese Academy of Sciences XDB39020600
6 · The paper itself

Abstract

Muscular atrophy is among the systematic decline in organ functions in aging, while defective thermogenic fat functionality precedes these anomalies. The potential crosstalk between adipose tissue and muscle during aging is poorly understood. In this study, it is showed that UCP1 knockout (KO) mice characterized deteriorated brown adipose tissue (BAT) function in aging, yet their glucose homeostasis is sustained and energy expenditure is increased, possibly compensated by improved inguinal adipose tissue (iWAT) and muscle functionality compared to age-matched WT mice. To understand the potential crosstalk, RNA-seq and metabolomic analysis were performed on adipose tissue and muscle in aging mice and revealed that creatine levels are increased both in iWAT and muscle of UCP1 KO mice. Interestingly, molecular analysis and metabolite tracing revealed that creatine biosynthesis is increased in iWAT while creatine uptake is increased in muscle in UCP1 KO mice, suggesting creatine transportation from iWAT to muscle. Importantly, creatine analog β-GPA abolished the differences in muscle functions between aging WT and UCP1 KO mice, while UCP1 inhibitor α-CD improved muscle glycolytic function and glucose metabolism in aging mice. Overall, these results suggested that iWAT and skeletal muscle compensate for declined BAT function during aging via creatine metabolism to sustain metabolic homeostasis.

Indexed as

AgingGlycolysisMuscle, SkeletalUncoupling Protein 1Adipose Tissue, BrownAnimalsCreatineEnergy MetabolismMaleMiceMice, Inbred C57BLMice, KnockoutCreatineUcp1 protein, mouseUncoupling Protein 1agingcreatineglycolytic functionskeletal musclethermogenic adipose tissue

Identifiers

PMID39569747
PMCPMC11727132

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.