Flow-Induced Dispersion Analysis for Probing Anti-dsDNA Antibody Binding Heterogeneity in Systemic Lupus Erythematosus Patients: Toward a New Approach for Diagnosis and Patient Stratification

自身抗体 化学 抗体 自身免疫性疾病 免疫系统 免疫学 红斑狼疮 免疫复合物 计算生物学 医学 生物
作者
Nicklas N. Poulsen,Morten E. Pedersen,Jesper Østergaard,Nickolaj J. Petersen,Christoffer Tandrup Nielsen,Niels H. H. Heegaard,Henrik Jensen
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:88 (18): 9056-9061 被引量:16
标识
DOI:10.1021/acs.analchem.6b01741
摘要

Detection of immune responses is important in the diagnosis of many diseases. For example, the detection of circulating autoantibodies against double-stranded DNA (dsDNA) is used in the diagnosis of Systemic Lupus Erythematosus (SLE). It is, however, difficult to reach satisfactory sensitivity, specificity, and accuracy with established assays. Also, existing methodologies for quantification of autoantibodies are challenging to transfer to a point-of-care setting. Here we present the use of flow-induced dispersion analysis (FIDA) for rapid (minutes) measurement of autoantibodies against dsDNA. The assay is based on Taylor dispersion analysis (TDA) and is fully automated with the use of standard capillary electrophoresis (CE) based equipment employing fluorescence detection. It is robust toward matrix effects as demonstrated by the direct analysis of samples composed of up to 85% plasma derived from human blood samples, and it allows for flexible exchange of the DNA sequences used to probe for the autoantibodies. Plasma samples from SLE positive patients were analyzed using the new FIDA methodology as well as by standard indirect immunofluorescence and solid-phase immunoassays. Interestingly, the patient antibodies bound DNA sequences with different affinities, suggesting pronounced heterogeneity among autoantibodies produced in SLE. The FIDA based methodology is a new approach for autoantibody detection and holds promise for being used for patient stratification and monitoring of disease activity.

科研通智能强力驱动
Strongly Powered by AbleSci AI

祝大家在新的一年里科研腾飞
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
Shrek1018发布了新的文献求助10
刚刚
11发布了新的文献求助10
1秒前
6秒前
7秒前
沉默问夏完成签到 ,获得积分10
8秒前
哈哈哈哈哈哈完成签到 ,获得积分10
8秒前
大个应助11采纳,获得10
14秒前
Hiker发布了新的文献求助10
15秒前
16秒前
SciGPT应助Hiker采纳,获得10
23秒前
紫熊发布了新的文献求助10
28秒前
nook完成签到,获得积分10
30秒前
38秒前
40秒前
沈清酌完成签到,获得积分10
41秒前
咯咚完成签到 ,获得积分10
42秒前
科研通AI6.2应助dl采纳,获得30
43秒前
沈清酌发布了新的文献求助10
43秒前
liuliu发布了新的文献求助10
51秒前
52秒前
52秒前
冷艳的寻冬完成签到 ,获得积分10
53秒前
机智靖柔发布了新的文献求助10
55秒前
58秒前
自然的行恶完成签到 ,获得积分10
58秒前
Fortune完成签到,获得积分10
1分钟前
iyuccvbe完成签到,获得积分10
1分钟前
朴实初夏完成签到 ,获得积分10
1分钟前
1分钟前
howl发布了新的文献求助10
1分钟前
Hello应助liuliu采纳,获得10
1分钟前
所所应助ylz采纳,获得50
1分钟前
Running完成签到 ,获得积分10
1分钟前
111完成签到 ,获得积分10
1分钟前
嚯嚯嚯嚯完成签到 ,获得积分10
1分钟前
liuliu发布了新的文献求助10
1分钟前
yi完成签到 ,获得积分10
1分钟前
fmrre完成签到,获得积分10
1分钟前
fossick2010完成签到 ,获得积分10
1分钟前
爆米花应助周梦蝶采纳,获得10
1分钟前
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
Les Mantodea de guyane 2500
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 600
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
Using a Non-Equivalent Control Group Design in Educational Research 200
Public Health, Personal Health and Pills: Drug Entanglements and Pharmaceuticalised Governance 200
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5868022
求助须知:如何正确求助?哪些是违规求助? 6437147
关于积分的说明 15657551
捐赠科研通 4983349
什么是DOI,文献DOI怎么找? 2687459
邀请新用户注册赠送积分活动 1630126
关于科研通互助平台的介绍 1588186