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循环生物标志物与疾病严重程度测量的关联可区分肌痛性脑脊髓炎/慢性疲劳综合征和新冠后状况:一项前瞻性试点队列研究。

Association of circulating biomarkers with illness severity measures differentiates myalgic encephalomyelitis/chronic fatigue syndrome and post-COVID-19 condition: a prospective pilot cohort study.

机构信息

Department of Biochemistry and Molecular Biomedicine, Faculty of Biology, University of Barcelona, Barcelona, 08028, Spain.

Molecular Modelling and Bioinformatics Group, Institute for Research in Biomedicine, Barcelona Institute of Science and Technology, Barcelona, 08028, Spain.

出版信息

J Transl Med. 2024 Apr 10;22(1):343. doi: 10.1186/s12967-024-05148-0.

Abstract

BACKGROUND

Accumulating evidence suggests that autonomic dysfunction and persistent systemic inflammation are common clinical features in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and long COVID. However, there is limited knowledge regarding their potential association with circulating biomarkers and illness severity in these conditions.

METHODS

This single-site, prospective, cross-sectional, pilot cohort study aimed to distinguish between the two patient populations by using self-reported outcome measures and circulating biomarkers of endothelial function and systemic inflammation status. Thirty-one individuals with ME/CFS, 23 individuals with long COVID, and 31 matched sedentary healthy controls were included. All study participants underwent non-invasive cardiovascular hemodynamic challenge testing (10 min NASA lean test) for assessment of orthostatic intolerance. Regression analysis was used to examine associations between outcome measures and circulating biomarkers in the study participants. Classification across groups was based on principal component and discriminant analyses.

RESULTS

Four ME/CFS patients (13%), 1 with long COVID (4%), and 1 healthy control (3%) presented postural orthostatic tachycardia syndrome (POTS) using the 10-min NASA lean test. Compared with matched healthy controls, ME/CFS and long COVID subjects showed higher levels of ET-1 (p < 0.05) and VCAM-1 (p < 0.001), and lower levels of nitrites (NOx assessed as NO + NO) (p < 0.01). ME/CFS patients also showed higher levels of serpin E1 (PAI-1) and E-selectin than did both long COVID and matched control subjects (p < 0.01 in all cases). Long COVID patients had lower TSP-1 levels than did ME/CFS patients and matched sedentary healthy controls (p < 0.001). As for inflammation biomarkers, both long COVID and ME/CFS subjects had higher levels of TNF-α than did matched healthy controls (p < 0.01 in both comparisons). Compared with controls, ME/CFS patients had higher levels of IL-1β (p < 0.001), IL-4 (p < 0.001), IL-6 (p < 0.01), IL-10 (p < 0.001), IP-10 (p < 0.05), and leptin (p < 0.001). Principal component analysis supported differentiation between groups based on self-reported outcome measures and biomarkers of endothelial function and inflammatory status in the study population.

CONCLUSIONS

Our findings revealed that combining biomarkers of endothelial dysfunction and inflammation with outcome measures differentiate ME/CFS and Long COVID using robust discriminant analysis of principal components. Further research is needed to provide a more comprehensive characterization of these underlying pathomechanisms, which could be promising targets for therapeutic and preventive strategies in these conditions.

摘要

背景

越来越多的证据表明,自主神经功能障碍和持续的全身炎症是肌痛性脑脊髓炎/慢性疲劳综合征(ME/CFS)和长新冠的常见临床特征。然而,对于这些病症中循环生物标志物与疾病严重程度之间的潜在关联,我们知之甚少。

方法

这项单站点、前瞻性、横断面、试点队列研究旨在通过使用自我报告的结果测量和内皮功能和全身炎症状态的循环生物标志物来区分这两种患者人群。共纳入 31 名 ME/CFS 患者、23 名长新冠患者和 31 名匹配的久坐健康对照者。所有研究参与者均接受非侵入性心血管血流动力学挑战测试(10 分钟 NASA 倾斜测试)以评估直立不耐受。回归分析用于检查研究参与者中结果测量值和循环生物标志物之间的关联。基于主成分和判别分析对组间进行分类。

结果

4 名 ME/CFS 患者(13%)、1 名长新冠患者(4%)和 1 名健康对照者(3%)在使用 10 分钟 NASA 倾斜测试时出现体位性心动过速综合征(POTS)。与匹配的健康对照者相比,ME/CFS 和长新冠患者的 ET-1 水平更高(p<0.05),VCAM-1 水平更高(p<0.001),NOx 水平(作为 NO+NO 评估的硝酸盐)更低(p<0.01)。ME/CFS 患者的 serpin E1(PAI-1)和 E-选择素水平也高于长新冠和匹配的对照者(p<0.01)。长新冠患者的 TSP-1 水平低于 ME/CFS 患者和匹配的久坐健康对照者(p<0.001)。就炎症生物标志物而言,长新冠和 ME/CFS 患者的 TNF-α 水平均高于匹配的健康对照者(p<0.01)。与对照组相比,ME/CFS 患者的 IL-1β 水平更高(p<0.001),IL-4 水平更高(p<0.001),IL-6 水平更高(p<0.01),IL-10 水平更高(p<0.001),IP-10 水平更高(p<0.05),瘦素水平更高(p<0.001)。主成分分析支持基于研究人群中自我报告的结果测量和内皮功能及炎症状态的生物标志物对组进行区分。

结论

我们的研究结果表明,通过稳健的主成分判别分析,将内皮功能障碍和炎症生物标志物与结果测量值相结合,可以区分 ME/CFS 和长新冠。需要进一步的研究来更全面地描述这些潜在的病理机制,这可能是这些病症的治疗和预防策略的有希望的靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51b1/11005215/07b9b60be603/12967_2024_5148_Fig1_HTML.jpg

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