Association of inflammatory factors and aging in Parkinson's disease

帕金森病 C反应蛋白 生物标志物 疾病 医学 内科学 炎症 风险因素 逻辑回归 免疫学 生物 生物化学
作者
Jing Hong,Han‐Ying Gu,Cheng‐Jie Mao,Jing Chen,Chunfeng Liu
出处
期刊:Neuroscience Letters [Elsevier]
卷期号:736: 135259-135259 被引量:34
标识
DOI:10.1016/j.neulet.2020.135259
摘要

Parkinson's disease as a common neurodegenerative disease, has been found to be related to inflammation. So we observed the characteristics of inflammatory indexes in patients with Parkinson's disease and investigated the relationship between inflammatory cytokines and clinical characteristics. Emerging data may reveal novel neuroinflammatory pathways and identify new targets for treatment of Parkinson's disease. We examined the inflammatory indexes in 183 patients and 89 healthy controls in association with clinical characteristics. Patients had significantly higher levels of monocytes, neutrophils, high-sensitivity C-reactive protein, and monocyte-to-high-density lipoprotein ratios (p < 0.01) and lower levels of lymphocytes (p = 0.02) than the controls. There were no significant differences in age, leukocytes, high-density lipoprotein, or neutrophil-lymphocyte ratios between the two groups (p > 0.05). Multivariate logistic regression analysis of these indicators revealed that lymphocyte level was a protective factor (p = 0.025, OR=-0.679), while high-sensitivity C-reactive protein level was a risk factor (p = 0.000, OR=1.168) for Parkinson's disease. High-sensitivity C-reactive protein levels were higher in older Parkinson's disease patients. High-sensitivity C-reactive protein is positively related to the risk of Parkinson's disease, especially in aging patients. High-sensitivity C-reactive protein is a potential biomarker for disease progression and treatment response for Parkinson's disease.

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
刚刚
kekemu完成签到 ,获得积分10
刚刚
洛神完成签到,获得积分10
1秒前
young完成签到,获得积分10
1秒前
1秒前
田様应助郑女士采纳,获得10
2秒前
2秒前
2秒前
小猪完成签到 ,获得积分10
3秒前
3秒前
啊啊啊啊啊完成签到 ,获得积分10
3秒前
遇见发布了新的文献求助10
4秒前
袁江堰发布了新的文献求助10
4秒前
5秒前
沏碗麻花发布了新的文献求助10
5秒前
九湘发布了新的文献求助20
6秒前
7秒前
7秒前
灰鹅发布了新的文献求助10
7秒前
7秒前
眼睛大的宝马关注了科研通微信公众号
8秒前
bkagyin应助王粒伊采纳,获得10
8秒前
KK发布了新的文献求助10
8秒前
8秒前
9秒前
Lee发布了新的文献求助10
9秒前
小薯条发布了新的文献求助10
9秒前
小糊涂完成签到 ,获得积分10
10秒前
10秒前
11秒前
Rivery发布了新的文献求助10
12秒前
杨新苗发布了新的文献求助10
12秒前
英俊的铭应助追寻锦程采纳,获得10
13秒前
14秒前
14秒前
无限藏鸟发布了新的文献求助10
14秒前
ceeray23应助无私的忆山采纳,获得10
15秒前
Joseph_LIN发布了新的文献求助10
15秒前
李健应助苏诗兰采纳,获得10
15秒前
15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
Modern Epidemiology, Fourth Edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
Social Cognition: Understanding People and Events 800
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6026296
求助须知:如何正确求助?哪些是违规求助? 7668707
关于积分的说明 16182308
捐赠科研通 5174282
什么是DOI,文献DOI怎么找? 2768694
邀请新用户注册赠送积分活动 1752014
关于科研通互助平台的介绍 1637980