Evidence map›Paper›PMID 38622407›Full record

ArticleNature aging2024

Human skeletal muscle aging atlas.

Veronika R Kedlian, Yaning Wang, Tianliang Liu, Xiaoping Chen, Liam Bolt, Catherine Tudor, Zhuojian Shen, Eirini S Fasouli, Elena Prigmore, Vitalii Kleshchevnikov and 22 more

Abstract read
In one paragraph

Article in Nature aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 143 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
143citing papers in PubMed, 2 pooled it
–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

143 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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83 more citing papers are in PubMed but not listed here.

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

32 authors.

Veronika R Kedlian *Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.ORCID http://orcid.org/0000-0001-6563-0829
Yaning Wang *Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
Tianliang Liu *Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.ORCID http://orcid.org/0000-0002-7872-4370
Xiaoping ChenKey Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
Liam BoltWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.ORCID http://orcid.org/0000-0001-7293-0774
Catherine TudorWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.ORCID http://orcid.org/0000-0003-2093-9683
Zhuojian ShenDepartment of Thoracic Surgery, Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China.
Eirini S FasouliWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.ORCID http://orcid.org/0000-0003-1621-3396
Elena PrigmoreWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.ORCID http://orcid.org/0000-0001-8870-0316
Vitalii KleshchevnikovWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
Jan Patrick PettWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.ORCID http://orcid.org/0000-0002-5249-444X
Tong LiWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.ORCID http://orcid.org/0000-0002-8240-4476
John E G LawrenceWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
Shani PereraWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
Martin PreteWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
Ni HuangWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
Qin GuoKey Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
Xinrui ZengKey Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
Lu YangWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.ORCID http://orcid.org/0000-0002-2694-1189
Krzysztof PolańskiWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.ORCID http://orcid.org/0000-0002-2586-9576
Nana-Jane ChipampeWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.ORCID http://orcid.org/0000-0002-8802-0473
Monika DabrowskaWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
Xiaobo LiCore Facilities for Medical Science, Sun Yat-sen University, Guangzhou, China.
Omer Ali BayraktarWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.ORCID http://orcid.org/0000-0001-6055-277X
Minal PatelWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
Natsuhiko KumasakaWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
Krishnaa T MahbubaniDepartment of Surgery, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-1327-2334
Andy Peng XiangKey Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.ORCID http://orcid.org/0000-0003-3409-5012
Kerstin B MeyerWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.ORCID http://orcid.org/0000-0001-5906-1498
Kourosh Saeb-ParsyDepartment of Surgery, University of Cambridge, Cambridge, UK. ks10014@cam.ac.uk.ORCID http://orcid.org/0000-0002-0633-3696
Sarah A TeichmannWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK. st9@sanger.ac.uk.ORCID http://orcid.org/0000-0002-6294-6366
Hongbo ZhangKey Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China. zhanghongbo@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0002-4081-5752

Funding

EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 101026233National Natural Science Foundation of China (National Science Foundation of China) 31871370National Natural Science Foundation of China (National Science Foundation of China) 32000840Natural Science Foundation of Guangdong Province (Guangdong Natural Science Foundation) 2021A1515012065Wellcome TrustWellcome Trust (Wellcome) 220540/Z/20/AWellcome Trust (Wellcome) WT206194Wellcome Trust (Wellcome) WT211276/Z/18/Z
6 · The paper itself

Abstract

Skeletal muscle aging is a key contributor to age-related frailty and sarcopenia with substantial implications for global health. Here we profiled 90,902 single cells and 92,259 single nuclei from 17 donors to map the aging process in the adult human intercostal muscle, identifying cellular changes in each muscle compartment. We found that distinct subsets of muscle stem cells exhibit decreased ribosome biogenesis genes and increased CCL2 expression, causing different aging phenotypes. Our atlas also highlights an expansion of nuclei associated with the neuromuscular junction, which may reflect re-innervation, and outlines how the loss of fast-twitch myofibers is mitigated through regeneration and upregulation of fast-type markers in slow-twitch myofibers with age. Furthermore, we document the function of aging muscle microenvironment in immune cell attraction. Overall, we present a comprehensive human skeletal muscle aging resource ( https://www.muscleageingcellatlas.org/ ) together with an in-house mouse muscle atlas to study common features of muscle aging across species.

Indexed as

AgingMuscle, SkeletalAdultAgedAnimalsFemaleHumansMaleMiceMiddle AgedNeuromuscular JunctionSarcopenia

Identifiers

PMID38622407
PMCPMC11108788

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.