Evidence map›Paper›PMID 37764748›Full record

ArticleNutrients2023

Genetically Predicted Levels of Serum Metabolites and Risk of Sarcopenia: A Mendelian Randomization Study.

Tingting Sha, Ning Wang, Jie Wei, Hongyi He, Yilun Wang, Chao Zeng, Guanghua Lei

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2023. 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
2.3field-weighted citation impact, top 11% of its field
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, 13 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Tingting ShaDepartment of Orthopaedics, Xiangya Hospital, Central South University, Changsha 410008, China.ORCID 0000-0002-8559-2150
Ning WangDepartment of Orthopaedics, Xiangya Hospital, Central South University, Changsha 410008, China.
Jie WeiKey Laboratory of Aging-Related Bone and Joint Diseases Prevention and Treatment, Ministry of Education, Xiangya Hospital, Central South University, Changsha 410008, China.
Hongyi HeDepartment of Orthopaedics, Xiangya Hospital, Central South University, Changsha 410008, China.
Yilun WangDepartment of Orthopaedics, Xiangya Hospital, Central South University, Changsha 410008, China.
Chao ZengDepartment of Orthopaedics, Xiangya Hospital, Central South University, Changsha 410008, China.
Guanghua LeiDepartment of Orthopaedics, Xiangya Hospital, Central South University, Changsha 410008, China.
Central South University · CN

Funding

the Key Projects of Postgraduate Independent Exploration and Innovation of Central South University 2023ZZTS0202the National Key Research and Development Plan 2022YFC3601900, 2022YFC3601901, 2022YFC3601902, 2022YFC3601903, 2022YFC3601904, 2022YFC3601905, and 2022YFC2505500the National Natural Science Foundation of China 81930071, 82072502, U21A20352the Natural Science Foundation of Hunan Province 2022JJ40821the Postgraduate Scientific Research Innovation Project of Hunan Prov-ince CX20230278the Youth Science Foundation of Xiangya Hospital 2021Q14
6 · The paper itself

Abstract

Metabolites' connection to sarcopenia through inflammation and mitochondrial dysfunction is presumed, but their impact remains unclear due to limitations in conventional observational studies caused by confounding bias and reverse causation. We conducted a Mendelian randomization (MR) analysis to elucidate the association of serum metabolites with sarcopenia and its related traits, i.e., appendicular lean mass and grip strength. Genetic instruments to proxy the serum metabolites were extracted from the most comprehensive genome-wide association study on the topic published so far. The corresponding summary statistics for the associations of genetic instruments with outcomes were calculated from the UK Biobank (n = 324,976 participants). The primary analyses were assessed by an inverse-variance weighted (IVW) method. The weighted median and MR-PRESSO methods were used as sensitive analyses. Fourteen genetically predicted serum metabolites were associated with the risk of sarcopenia (

Indexed as

SarcopeniaGenome-Wide Association StudyHand StrengthHumansInflammationMendelian Randomization Analysisappendicular lean massdocosapentaenoategrip strengthisovalerylcarnitinesarcopenia

Identifiers

PMID37764748
PMCPMC10536442
OpenAlexW4386747485

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.