Protein biomarkers associated with pain mechanisms in osteoarthritis

骨关节炎 医学 生物标志物 生物信息学 内科学 病理 生物 遗传学 替代医学
作者
Christian S. Thudium,Henrik Löfvall,M.A. Karsdal,Anne‐Christine Bay‐Jensen,Asger Reinstrup Bihlet
出处
期刊:Journal of Proteomics [Elsevier BV]
卷期号:190: 55-66 被引量:31
标识
DOI:10.1016/j.jprot.2018.04.030
摘要

Osteoarthritis (OA) is the most common arthritic disease in the world, leading to debilitating pain and destruction of joint tissues. While pain is the hallmark symptom of osteoarthritis, clear associations between pain and disease processes involved in joint deterioration are lacking. OA pain is multifactorial and may arise from multiple distinct or concurrent mechanisms, and may thus present as different pain sub-types. Several biomarkers developed to reflect important pathological processes are available, and associations between such biomarkers and OA pain may give hints to important pathological features, which have not been possible to assess using clinical, radiographic or magnetic resonance imaging techniques. This review highlights a selection of important, protein-derived biomarkers measured in body fluids from OA patients, which have been associated with different types and aspects of OA pain, and discusses the potential mechanisms behind the associations. Osteoarthritis (OA) is a heterogenous disease affecting the entire joint, including cartilage, bone and synovium. While pain is the hallmark symptom of osteoarthritis, clear associations between pain and disease processes involved in joint deterioration are lacking. Thus, there is clear need for biomarkers that can accurately describe the underlying processes and distinguish between different disease and pain pathologies. In this review we discuss a selected number of biomarkers which have been directly or indirectly associated with pain mechanisms and development of pain in OA either via structural correlates or as molecular sensitizing agents. We further evaluate the challenges that the OA field faces in the development and application of biomarkers for OA pain.
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
无情听南完成签到,获得积分10
1秒前
我爱螺蛳粉完成签到 ,获得积分10
2秒前
fafa发布了新的文献求助10
4秒前
lin完成签到 ,获得积分10
6秒前
7秒前
CipherSage应助栀璃鸳挽采纳,获得10
9秒前
deswin完成签到 ,获得积分10
11秒前
CipherSage应助Sephirex采纳,获得30
12秒前
哈哈哈发布了新的文献求助10
13秒前
明理的天抒完成签到 ,获得积分10
15秒前
19秒前
21秒前
哈哈哈完成签到,获得积分10
21秒前
勤奋完成签到,获得积分0
22秒前
maodianandme发布了新的文献求助10
26秒前
紫瓜完成签到,获得积分10
26秒前
科研通AI5应助玄轩采纳,获得10
26秒前
orixero应助帅气的猫采纳,获得10
28秒前
30秒前
30秒前
SciGPT应助HS采纳,获得10
31秒前
于清绝完成签到 ,获得积分10
32秒前
杨佳晨发布了新的文献求助10
33秒前
科目三应助科研通管家采纳,获得30
35秒前
赘婿应助科研通管家采纳,获得10
35秒前
搜集达人应助科研通管家采纳,获得10
35秒前
小马甲应助科研通管家采纳,获得10
35秒前
Azhou应助科研通管家采纳,获得10
35秒前
乐乐应助科研通管家采纳,获得20
35秒前
科研通AI5应助科研通管家采纳,获得10
36秒前
打打应助科研通管家采纳,获得10
36秒前
贰鸟应助科研通管家采纳,获得20
36秒前
SciGPT应助科研通管家采纳,获得10
36秒前
斯文败类应助关天木采纳,获得10
36秒前
36秒前
机灵的幻灵完成签到 ,获得积分10
36秒前
37秒前
38秒前
ding应助舒服的觅夏采纳,获得10
39秒前
星夜发布了新的文献求助10
42秒前
高分求助中
【此为提示信息,请勿应助】请按要求发布求助,避免被关 20000
ISCN 2024 – An International System for Human Cytogenomic Nomenclature (2024) 3000
Continuum Thermodynamics and Material Modelling 2000
Encyclopedia of Geology (2nd Edition) 2000
105th Edition CRC Handbook of Chemistry and Physics 1600
Maneuvering of a Damaged Navy Combatant 650
the MD Anderson Surgical Oncology Manual, Seventh Edition 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3777469
求助须知:如何正确求助?哪些是违规求助? 3322775
关于积分的说明 10211743
捐赠科研通 3038195
什么是DOI,文献DOI怎么找? 1667163
邀请新用户注册赠送积分活动 797990
科研通“疑难数据库(出版商)”最低求助积分说明 758133