Serum Glial Fibrillary Acidic Protein Compared With Neurofilament Light Chain as a Biomarker for Disease Progression in Multiple Sclerosis

医学 队列 多发性硬化 内科学 生物标志物 扩大残疾状况量表 前瞻性队列研究 胶质纤维酸性蛋白 肿瘤科 队列研究 胃肠病学 免疫学 免疫组织化学 生物化学 化学
作者
Stéphanie Meier,Eline A.J. Willemse,Sabine Schaedelin,Johanna Oechtering,Johannes Lorscheider,Lester Melie‐García,Alessandro Cagol,Muhamed Baraković,Riccardo Galbusera,Suvitha Subramaniam,Christian Barro,Ahmed Abdelhak,Simon Thebault,Lutz Achtnichts,Patrice H. Lalive,Stefanie Müller,Caroline Pot,Anke Salmen,Giulio Disanto,Chiara Zecca
出处
期刊:JAMA Neurology [American Medical Association]
卷期号:80 (3): 287-287 被引量:228
标识
DOI:10.1001/jamaneurol.2022.5250
摘要

Importance There is a lack of validated biomarkers for disability progression independent of relapse activity (PIRA) in multiple sclerosis (MS). Objective To determine how serum glial fibrillary acidic protein (sGFAP) and serum neurofilament light chain (sNfL) correlate with features of disease progression vs acute focal inflammation in MS and how they can prognosticate disease progression. Design, Setting, and Participants Data were acquired in the longitudinal Swiss MS cohort (SMSC; a consortium of tertiary referral hospitals) from January 1, 2012, to October 20, 2022. The SMSC is a prospective, multicenter study performed in 8 centers in Switzerland. For this nested study, participants had to meet the following inclusion criteria: cohort 1, patients with MS and either stable or worsening disability and similar baseline Expanded Disability Status Scale scores with no relapses during the entire follow-up; and cohort 2, all SMSC study patients who had initiated and continued B-cell–depleting treatment (ie, ocrelizumab or rituximab). Exposures Patients received standard immunotherapies or were untreated. Main Outcomes and Measures In cohort 1, sGFAP and sNfL levels were measured longitudinally using Simoa assays. Healthy control samples served as the reference. In cohort 2, sGFAP and sNfL levels were determined cross-sectionally. Results This study included a total of 355 patients (103 [29.0%] in cohort 1: median [IQR] age, 42.1 [33.2-47.6] years; 73 female patients [70.9%]; and 252 [71.0%] in cohort 2: median [IQR] age, 44.3 [33.3-54.7] years; 156 female patients [61.9%]) and 259 healthy controls with a median [IQR] age of 44.3 [36.3-52.3] years and 177 female individuals (68.3%). sGFAP levels in controls increased as a function of age (1.5% per year; P < .001), were inversely correlated with BMI (−1.1% per BMI unit; P = .01), and were 14.9% higher in women than in men ( P = .004). In cohort 1, patients with worsening progressive MS showed 50.9% higher sGFAP levels compared with those with stable MS after additional sNfL adjustment, whereas the 25% increase of sNfL disappeared after additional sGFAP adjustment. Higher sGFAP at baseline was associated with accelerated gray matter brain volume loss (per doubling: 0.24% per year; P < .001) but not white matter loss. sGFAP levels remained unchanged during disease exacerbations vs remission phases. In cohort 2, median (IQR) sGFAP z scores were higher in patients developing future confirmed disability worsening compared with those with stable disability (1.94 [0.36-2.23] vs 0.71 [−0.13 to 1.73]; P = .002); this was not significant for sNfL. However, the combined elevation of z scores of both biomarkers resulted in a 4- to 5-fold increased risk of confirmed disability worsening (hazard ratio [HR], 4.09; 95% CI, 2.04-8.18; P < .001) and PIRA (HR, 4.71; 95% CI, 2.05-9.77; P < .001). Conclusions and Relevance Results of this cohort study suggest that sGFAP is a prognostic biomarker for future PIRA and revealed its complementary potential next to sNfL. sGFAP may serve as a useful biomarker for disease progression in MS in individual patient management and drug development.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
奋斗千秋完成签到,获得积分20
刚刚
1秒前
2秒前
2秒前
爱咋咋地完成签到,获得积分10
3秒前
memory完成签到,获得积分10
3秒前
俭朴笑晴完成签到 ,获得积分10
3秒前
5秒前
wuhuhu发布了新的文献求助10
5秒前
mst完成签到,获得积分10
5秒前
在水一方应助奋斗千秋采纳,获得10
6秒前
文艺水风完成签到 ,获得积分10
6秒前
6秒前
小吉利发布了新的文献求助10
7秒前
9秒前
9秒前
HongJiang完成签到,获得积分10
10秒前
10秒前
风清扬发布了新的文献求助10
10秒前
Xiaofei发布了新的文献求助30
11秒前
11秒前
和花花完成签到,获得积分10
12秒前
KK完成签到,获得积分10
12秒前
帅气之双发布了新的文献求助50
12秒前
自觉的万言完成签到,获得积分20
13秒前
louis完成签到,获得积分10
13秒前
田様应助cw采纳,获得10
13秒前
孟似狮发布了新的文献求助10
14秒前
vv完成签到,获得积分10
14秒前
严西完成签到,获得积分10
15秒前
KK发布了新的文献求助10
15秒前
情怀应助11111采纳,获得10
15秒前
让我再眯一会完成签到 ,获得积分10
16秒前
lwroche完成签到,获得积分10
16秒前
junkai关注了科研通微信公众号
16秒前
He发布了新的文献求助30
17秒前
18秒前
六尺巷完成签到,获得积分10
18秒前
梁平完成签到 ,获得积分10
19秒前
panchaoteng关注了科研通微信公众号
19秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6359264
求助须知:如何正确求助?哪些是违规求助? 8173237
关于积分的说明 17213576
捐赠科研通 5414355
什么是DOI,文献DOI怎么找? 2865433
邀请新用户注册赠送积分活动 1842799
关于科研通互助平台的介绍 1690962