Evidence map›Paper›PMID 42319612›Full record

ArticleGeroScience2026

Amino acid and appendicular skeletal muscle mass insufficiency are associated to cognitive decline in Chinese population.

Ting Tang, Shuxian Zhang, Yanni Pu, Siquan Li, Bin Jiang, Huiting Liang, Kunmu Zheng, Yan Zheng, He Huang, Jin Li and 1 more

Abstract read
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In one paragraph

Article in GeroScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Ting Tang *Department of Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, Fujian Medical University, Fuzhou, China.
Shuxian Zhang *Institute of Metabolism and Integrative Biology, State Key Laboratory of Genetic Engineering, School of Life Sciences, Zhongshan Hospital and Shanghai Cancer Center, Fudan University, Shanghai, China.
Yanni Pu *Institute of Metabolism and Integrative Biology, State Key Laboratory of Genetic Engineering, School of Life Sciences, Zhongshan Hospital and Shanghai Cancer Center, Fudan University, Shanghai, China.
Siquan LiInstitute of Metabolism and Integrative Biology, State Key Laboratory of Genetic Engineering, School of Life Sciences, Zhongshan Hospital and Shanghai Cancer Center, Fudan University, Shanghai, China.
Bin JiangDepartment of Neurology and Department of Neuroscience, School of Medicine, The First Affiliated Hospital of Xiamen University, Xiamen University, Xiamen, China.
Huiting LiangDepartment of Neurology, First Affiliated Hospital of Nanchang University, Nanchang, 330006, China.
Kunmu ZhengDepartment of Neurology and Department of Neuroscience, School of Medicine, The First Affiliated Hospital of Xiamen University, Xiamen University, Xiamen, China.
Yan ZhengInstitute of Metabolism and Integrative Biology, State Key Laboratory of Genetic Engineering, School of Life Sciences, Zhongshan Hospital and Shanghai Cancer Center, Fudan University, Shanghai, China.
He HuangInstitute of Metabolism and Integrative Biology, State Key Laboratory of Genetic Engineering, School of Life Sciences, Zhongshan Hospital and Shanghai Cancer Center, Fudan University, Shanghai, China.
Jin LiInstitute of Metabolism and Integrative Biology, State Key Laboratory of Genetic Engineering, School of Life Sciences, Zhongshan Hospital and Shanghai Cancer Center, Fudan University, Shanghai, China. li_jin_lifescience@fudan.edu.cn.ORCID http://orcid.org/0000-0002-7957-1476
Xiaodong PanDepartment of Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, Fujian Medical University, Fuzhou, China. pxd77316@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The relation between cognitive impairment and skeletal muscle mass or physical exercise has been broadly discussed. However, the underlying molecular features have not been systemically investigated. Essential amino acids are the key factors for skeletal muscle mass. In the current study, we investigated the abundance of metabolites in the serum of ~ 1500 participants in various cognitive status from multiple centers. Our study revealed a positive correlation between serum level of essential AA and cognitive capability in Chinese population cross-sectionally. In addition, the positive correlation between skeletal muscle mass and cognitive capability was identified in an independent population with ~ 6000 participants from a community-based cohort cross-sectionally but not longitudinally. In summary, we observed that the insufficiency of essential AA accompanied by loss of skeletal muscle mass could serve as a potential metabolic signature linking peripheral aging to cognitive decline. The follow-up studies to fully validate our findings may help us to better understand the mechanism of cognitive decline and develop specific therapies for it.

Indexed as

Amino acidCognitive declineMetabolismSkeletal muscle

Identifiers

PMID42319612

What Socratic holds

Textmetadata
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.