Suppr超能文献

血清脑源性神经营养因子作为老年人慢性疼痛生物标志物的作用

Role of Serum Brain-Derived Neurotrophic Factor as a Biomarker of Chronic Pain in Older Adults.

作者信息

Ortolá R, Sotos-Prieto M, Carballo A, Cabello-Plan S, Koni Aida, Mustieles V, García-Segura L M, Artalejo A R, Rodríguez-Artalejo F, García-Esquinas E

机构信息

Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain.

CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain.

出版信息

Eur J Pain. 2025 May;29(5):e70014. doi: 10.1002/ejp.70014.

Abstract

BACKGROUND

Serum brain-derived neurotrophic factor (BDNF) has emerged as a promising biomarker for chronic pain (CP) research and treatment. Yet, most human studies have been limited by small sample sizes, inadequate control of confounders and a lack of focus on sex and mental health differences.

METHODS

This study included data from 1932 community-dwelling individuals aged ≥ 65 years, randomly sampled from the Spanish general population. Serum BDNF was quantified by ELISA. CP characteristics were assessed using the European Chronic Pain Survey and classified according to electronic medical records (ICPC-2 codes). Linear regression models-adjusted for sociodemographic, lifestyle and clinical factors-and stratified analyses by sex and depression status (defined by Geriatric Depression Scale score, recent physician diagnosis or antidepressant use) were performed.

RESULTS

Among 962 men and 970 women, mean BDNF concentrations were 18.55 (5.66) ng/mL and 19.39 (5.77) ng/mL, respectively. Most participants reported pain in multiple locations (median 3 sites, interquartile range: 2-4). In 511 participants with CP, probable musculoskeletal pain was predominant (n = 446), followed by nociplastic (n = 71), neuropathic (n = 54), visceral (n = 51) and vascular pain (n = 22). Notably, in non-depressed participants (n = 1639), women with severe or interfering pain showed lower BDNF concentrations [β coefficient (95% confidence interval) = -2.62 ng/mL (-5.03, -0.22) and -3.09 ng/mL (-4.71, -1.47), respectively] compared to those without CP-a pattern not seen in men. Conversely, among men with depression (n = 293), both severe [-5.12 g/mL (-9.26, -0.99)] and interfering [-4.95 g/mL (-8.29, -1.61)] pain were linked to lower BDNF, a trend absent in depressed women. Similar associations were observed in analyses of musculoskeletal and nociplastic pain subtypes.

CONCLUSIONS

While serum BDNF is a promising biomarker for CP, its reliability for gauging pain severity depends on patient sex and depression status. These factors must be considered to enhance the accuracy and clinical relevance of BDNF in CP evaluation.

SIGNIFICANCE

Our study is the first to reveal that the relationship between serum BDNF and chronic pain is distinctly modulated by sex and depression. This novel insight challenges one-size-fits-all biomarker approaches and paves the way for more personalised, precision-based strategies in chronic pain diagnosis and management.

摘要

背景

血清脑源性神经营养因子(BDNF)已成为慢性疼痛(CP)研究和治疗中一种很有前景的生物标志物。然而,大多数人体研究受到样本量小、混杂因素控制不足以及缺乏对性别和心理健康差异关注的限制。

方法

本研究纳入了1932名年龄≥65岁的社区居住个体的数据,这些个体是从西班牙普通人群中随机抽取的。采用酶联免疫吸附测定法(ELISA)对血清BDNF进行定量。使用欧洲慢性疼痛调查评估CP特征,并根据电子病历(ICPC - 2编码)进行分类。进行了针对社会人口统计学、生活方式和临床因素调整的线性回归模型以及按性别和抑郁状态(由老年抑郁量表评分、近期医生诊断或抗抑郁药使用定义)的分层分析。

结果

在962名男性和970名女性中,BDNF平均浓度分别为18.55(5.66)ng/mL和19.39(5.77)ng/mL。大多数参与者报告在多个部位疼痛(中位数为3个部位,四分位间距:2 - 4)。在511名患有CP的参与者中,可能的肌肉骨骼疼痛最为常见(n = 446),其次是伤害性疼痛(n = 71)、神经性疼痛(n = 54)、内脏性疼痛(n = 51)和血管性疼痛(n = 22)。值得注意的是,在非抑郁参与者(n = 1639)中,患有严重或干扰性疼痛的女性与无CP的女性相比,BDNF浓度较低[β系数(95%置信区间)分别为 - 2.62 ng/mL(- 5.03,- 0.22)和 - 3.09 ng/mL(- 4.71,- 1.47)],男性中未观察到这种模式。相反,在患有抑郁症的男性(n = 293)中,严重疼痛[- 5.12 g/mL(- 9.26,- 0.99)]和干扰性疼痛[- 4.95 g/mL(- 8.29,- 1.61)]均与较低的BDNF相关,而在患有抑郁症的女性中未观察到这种趋势。在肌肉骨骼和伤害性疼痛亚型分析中也观察到类似的关联。

结论

虽然血清BDNF是CP的一种有前景的生物标志物,但其评估疼痛严重程度的可靠性取决于患者的性别和抑郁状态。在CP评估中,必须考虑这些因素以提高BDNF的准确性和临床相关性。

意义

我们的研究首次揭示血清BDNF与慢性疼痛之间的关系受到性别和抑郁的显著调节。这一新颖见解挑战了一刀切的生物标志物方法,并为慢性疼痛诊断和管理中更个性化、基于精准的策略铺平了道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a6e/11994381/70ec92f32b36/EJP-29-0-g002.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验