OPRM1 and BDNF polymorphisms associated with a compensatory neurophysiologic signature in knee osteoarthritis patients

IF 2.7 4区医学 Q2 CLINICAL NEUROLOGY

Neurophysiologie Clinique/Clinical Neurophysiology Pub Date : 2023-11-07 DOI:10.1016/j.neucli.2023.102917

Fernanda de Toledo Gonçalves , Lucas Murrins Marques , Anne Victório Pessotto , Sara Pinto Barbosa , Marta Imamura , Marcel Simis , Felipe Fregni , Linamara Battistella

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引用次数: 0

Abstract

Objective

The present study investigated the relationship between three genetic polymorphisms of OPRM1 (rs1799971 - A118G and rs1799972 - C17T) and BDNF (rs6265 - C196T) and EEG-measured brain oscillations in Knee Osteoarthritis (KOA) patients.

Materials and Methods

We performed a cross-sectional analysis of a cohort study (DEFINE cohort), KOA arm, with 66 patients, considering demographic (age, sex, and education), clinical (pain intensity and duration), OPRM1 (rs1799971 - A118G and rs1799972 - C17T) and BDNF (rs6265 - C196T) genotypes, and electrophysiological measures. Brain oscillations relative power from Delta, Theta, Alpha, Low Alpha, High Alpha, Beta, Low Beta and High Beta oscillations were measured during resting state EEG. Multivariate regression models were used to explore the main brain oscillation predictors of the three genetic polymorphisms.

Results

Our findings demonstrate that Theta and Low Beta oscillations are associated with the variant allele of OPRM1-rs1799971 (A118G) on left frontal and left central regions, respectively, while Alpha brain oscillation is associated with variant genotypes (CT/TT) of BDNF-rs6265 on frontal (decrease of oscillation power) and left central (increase of oscillation power) regions. No significant model was found for OPRM1-rs1799972 (C17T) in addition to the inclusion of pain intensity as a significant predictor of this last model.

Conclusion

One potential interpretation for these findings is that polymorphisms of OPRM1 – that is involved with endogenous pain control - lead to increased compensatory oscillatory mechanisms, characterized by increased theta oscillations. Along the same line, polymorphisms of the BDNF lead to decreased alpha oscillations in the frontal area, likely also reflecting the disruption of resting states to also compensate for the increased injury associated with knee OA. It is possible that these polymorphisms require additional brain adaption to the knee OA related injury.

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OPRM1和BDNF多态性与膝骨关节炎患者的代偿性神经生理学特征相关。

目的：研究OPRM1（rs1799971-A118G和rs1799972-C17T）和BDNF（rs6265-C196T）三个基因多态性与膝骨关节炎（KOA）患者脑电振荡的关系。材料和方法：我们对一项队列研究（DEFINE队列），KOA组，66名患者进行了横断面分析，考虑了人口统计学（年龄、性别和教育）、临床（疼痛强度和持续时间）、OPRM1（rs1799971-A118G和rs1799972-C17T）和BDNF（rs6265-C196T）基因型以及电生理测量。在静息状态EEG期间测量来自Delta、Theta、Alpha、Low Alpha、High Alpha、Beta、Low Beta和High Beta振荡的大脑振荡相对功率。使用多变量回归模型来探索三种遗传多态性的主要大脑振荡预测因素。结果：我们的研究结果表明，Theta和Low Beta振荡分别与左额叶和左中央区域的OPRM1-rs179971（A118G）变异等位基因有关，而Alpha脑振荡与额叶（振荡功率降低）和左中央（振荡功率增加）区域的BDNF-rs6265变异基因型（CT/TT）有关。除了将疼痛强度作为最后一个模型的重要预测因素外，还没有发现OPRM1-rs179972（C17T）的显著模型。结论：对这些发现的一种潜在解释是，与内源性疼痛控制有关的OPRM1多态性导致代偿振荡机制增加，其特征是θ振荡增加。同样，BDNF的多态性导致额叶区域的α振荡减少，这可能也反映了静息状态的破坏，以补偿与膝关节骨性关节炎相关的损伤增加。这些多态性可能需要大脑对膝关节骨性关节炎相关损伤的额外适应。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Neurophysiologie Clinique/Clinical Neurophysiology 医学-临床神经学

CiteScore

5.20

自引率

3.30%

发文量

审稿时长

60 days

期刊介绍： Neurophysiologie Clinique / Clinical Neurophysiology (NCCN) is the official organ of the French Society of Clinical Neurophysiology (SNCLF). This journal is published 6 times a year, and is aimed at an international readership, with articles written in English. These can take the form of original research papers, comprehensive review articles, viewpoints, short communications, technical notes, editorials or letters to the Editor. The theme is the neurophysiological investigation of central or peripheral nervous system or muscle in healthy humans or patients. The journal focuses on key areas of clinical neurophysiology: electro- or magneto-encephalography, evoked potentials of all modalities, electroneuromyography, sleep, pain, posture, balance, motor control, autonomic nervous system, cognition, invasive and non-invasive neuromodulation, signal processing, bio-engineering, functional imaging.