已发表论文

肉碱及其他代谢产物与纤维肌痛:一项孟德尔随机化研究的临床视角

 

Authors Hong M, Wang J, Huang X, Xu Q, Xiao Y, Ling K 

Received 28 September 2025

Accepted for publication 18 December 2025

Published 25 December 2025 Volume 2025:18 Pages 7097—7107

DOI https://doi.org/10.2147/JPR.S569174

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 3

Editor who approved publication: Dr Alaa Abd-Elsayed

Minping Hong,1,* Jianguo Wang,2,* Xiaowen Huang,1 Qin Xu,1 Yujin Xiao,1 Keng Ling2 

1Department of Radiology, Jiaxing Hospital of Traditional Chinese Medicine Affiliated to Zhejiang Chinese Medical Universityl, Jiaxing, People’s Republic of China; 2Clinical laboratory, Jiaxing Maternity and Children Health Care Hospital, Jiaxing, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Keng Ling, Clinical Laboratory, Jiaxing University, Jiaxing Maternity and Children Health Care Hospital, No. 2468 Zhonghuan East Road, Nanhu District, Jiaxing, Zhejiang Province, 314000, People’s Republic of China, Email 450620239@qq.com Yujin Xiao, Jiaxing Hospital of Traditional Chinese Medical, No. 1501 Zhongshan East Road, Nanhu District, Jiaxing, Zhejiang Province, 314000, People’s Republic of China, Email 249877814@qq.com

Background: Fibromyalgia (FM) is a chronic pain disorder lacking reliable biomarkers. While metabolomic studies have suggested associations with various metabolites, including carnitine, establishing causality remains a challenge. This study integrates clinical metabolomic profiling with a Mendelian Randomization (MR) framework to investigate the potential causal influence of blood metabolites on FM.
Methods: In this study, 96 patients with Fibromyalgia and normal controls were recruited, and the carnitine level in peripheral blood was detected by ELISA method. And then, a two-sample Mendelian randomization (MR) method was used to test the potential causal relationship between 1400 metabolite biomarkers, including the level of carnitine, and Fibromyalgia. Additionally, for those metabolites demonstrating a causal link to Fibromyalgia in the initial MR analysis, a reverse Mendelian Randomization analysis was conducted to further validate these findings.
Results: Carnitine levels were markedly decreased in patients with fibromyalgia compared with healthy controls. The MR analysis identified 10 metabolites potentially causally linked to fibromyalgia. Among them, carnitine has a causal relationship with Fibromyalgia and is a protective factor (OR 0.73, 95% CI: 0.59– 0.91, p = 0.004). There are others, 4 metabolites showed protective effects, whereas 5 were linked to an elevated risk of the condition. The results were consistent among various MR methods, suggesting a strong correlation.
Conclusion: Our findings provide novel evidence supporting a potential causal, protective role of carnitine in FM pathogenesis, alongside other implicated metabolites. These results highlight the promise of metabolic pathways as targets for intervention, but future studies in larger, diverse populations are warranted to confirm these relationships.

Keywords: fibromyalgia, carnitine, metabolomics, Mendelian randomization