Evidence map›Paper›PMID 40149016›Full record

ArticleDiabetology & metabolic syndrome2025

Genetically predicted amino acids related to neural regulation mediate the association between diabetes mellitus and postherpetic neuralgia: a Mendelian randomization study.

Haoning Lan, Zhangran Ai, Songchao Xu, Huili Li, Zhong Feng, Ruijuan Guo, Yun Wang

Abstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Haoning LanDepartment of Anaesthesiology, Beijing Friendship Hospital, Capital Medical University, No. 95, Yong' an Road, Beijing, 100050, China.
Zhangran AiDepartment of Anaesthesiology, Beijing Friendship Hospital, Capital Medical University, No. 95, Yong' an Road, Beijing, 100050, China.
Songchao XuDepartment of Anaesthesiology, Beijing Friendship Hospital, Capital Medical University, No. 95, Yong' an Road, Beijing, 100050, China.
Huili LiDepartment of Anaesthesiology, Beijing Friendship Hospital, Capital Medical University, No. 95, Yong' an Road, Beijing, 100050, China.
Zhong FengDepartment of Anaesthesiology, Beijing Friendship Hospital, Capital Medical University, No. 95, Yong' an Road, Beijing, 100050, China.
Ruijuan GuoDepartment of Anaesthesiology, Beijing Friendship Hospital, Capital Medical University, No. 95, Yong' an Road, Beijing, 100050, China.
Yun WangDepartment of Anaesthesiology, Beijing Friendship Hospital, Capital Medical University, No. 95, Yong' an Road, Beijing, 100050, China. wangyun129@ccmu.edu.cn.

Funding

Beijing Friendship Hospital Zhongzi Project YYZZ202332Beijing Natural Science Foundation 7202053National Natural Science Foundation of China 82171217, 81771181, 81571065
6 · The paper itself

Abstract

backgroundPostherpetic neuralgia (PHN) and diabetes mellitus frequently coexist in clinical settings; however, the causal relationship between them remains unclear. Moreover, the potential mediating role of amino acids related to neural regulation in this association has not been fully explored yet.

methodsUnivariable Mendelian randomized (UVMR) was utilized to examine the causal relationship between various subtypes of diabetes mellitus and PHN, with the inverse variance weighted method as the main approach. Multivariable MR (MVMR) was conducted to assess the direct effect of diabetes mellitus, accounting for waist circumference, diabetic neuropathy/ulcers, and depression. Moreover, a two-step MR analysis was employed to investigate the mediating role of neurotransmitter-related amino acids in the association between diabetes mellitus and PHN.

resultsA significant statistical correlation was found between type 2 diabetes mellitus (T2DM) and PHN (odds ratio, OR: 1.23, 95% confidence interval, CI: 1.01-1.49, P = 0.036), while in type 1 diabetes mellitus or pregnancy diabetes mellitus, no evidence of the association with PHN was observed. MVMR analyses demonstrated that the effect of T2DM on PHN remained significant after adjusting for waist circumference, diabetic neuropathy/ulcers, and depression. Further mediation analysis revealed that phenylalanine accounted for 49.2% (95% CI: 22.7- 75.6%) of the total effect of T2DM on PHN.

conclusionThe current study suggested that T2DM was associated with an increased risk of PHN, with phenylalanine playing a mediating role. These findings provided valuable insights for the screening and prevention of PHN in clinical practice.

Indexed as

Diabetes mellitusMendelian randomizationNeurotransmitterPhenylalaninePostherpetic neuralgia

Identifiers

PMID40149016
PMCPMC11951531

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.