Role of tumor necrosis factor in the development of metabolic syndrome

脂质过氧化 医学 胰岛素抵抗 代谢综合征 促炎细胞因子 内科学 内分泌学 血脂谱 脂质代谢 肿瘤坏死因子α 载脂蛋白A1 碳水化合物代谢 脂蛋白 胰岛素 胆固醇 氧化应激 炎症 糖尿病
作者
Н. С. Юбицкая,М В Антонюк,Л. В. Веремчук,К. К. Ходосова
标识
摘要

Aim to study a relationship of the proinflammatory cytokine - alpha-tumor necrosis factor (alpha-TNF) to the values of carbohydrate and lipid metabolisms, lipid peroxidation, and hemorheology in patients with components of the metabolic syndrome (MS). Subjects and methods Eighty-seven patients (35 males and 52 females) aged 21 to 69 years were examined. Groups were formed depending on the number of components of MS and its existing complications. Physical examination was conducted; the values of lipid and carbohydrate metabolisms, lipid peroxidation, and hemorheology were estimated. The serum alpha-TNF levels were measured by enzyme immunoassay. The neural network technique was used to analyze the factor correlations of different types of MS. Results The estimation of a diversity of homeostatic parameters could ascertain the significance of the level of alpha-TNF in different types of MS. Its high level is associated with the elevated concentrations of low-density lipoprotein cholesterol (LDL-C) and apolipoprotein A1 (apoA1) in the presence of 1-2 risk factors for MS. In the individuals with 3 components of MS or more, as well as in the presence of its complications, the levels of alpha-TNF were closely related to those of LDL-C and apoA1, insulin resistance, and the changes in lipid peroxidation and hemostasis. Conclusion The early stage of MS is marked by the higher alpha-TNF level, its correlation with the changes in lipid metabolism and insulin concentrations. Alpha-TNF may be considered not only as an early marker of a systemic inflammatory reaction in the development of cardiovascular events, as well as a risk factor for MS.

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
白石人家应助一颗荔枝采纳,获得10
1秒前
初景应助墨沫采纳,获得20
1秒前
张志超发布了新的文献求助10
1秒前
2秒前
墨扬完成签到,获得积分10
2秒前
telademalajichi完成签到,获得积分10
3秒前
丽丽发布了新的文献求助10
3秒前
4秒前
果冻完成签到,获得积分10
4秒前
5秒前
Wensent发布了新的文献求助10
5秒前
ya完成签到 ,获得积分10
6秒前
6秒前
hh完成签到,获得积分10
7秒前
上帝肥嘟嘟完成签到 ,获得积分10
7秒前
椰子壳发布了新的文献求助10
7秒前
8秒前
852应助勤奋的男生采纳,获得10
8秒前
赵敏发布了新的文献求助30
9秒前
着急的剑发布了新的文献求助10
9秒前
Akim应助小通通采纳,获得10
10秒前
unicorn完成签到 ,获得积分10
10秒前
LL应助正直的沁采纳,获得10
10秒前
ly666完成签到,获得积分10
10秒前
CodeCraft应助正直的沁采纳,获得10
10秒前
大傻逼发布了新的文献求助10
11秒前
大气的襄发布了新的文献求助10
11秒前
隐形曼青应助繁荣的若之采纳,获得10
11秒前
晴天发布了新的文献求助10
11秒前
科研通AI6.2应助xzccc采纳,获得10
12秒前
shuqin完成签到,获得积分10
12秒前
李爱国应助无辜的翠安采纳,获得10
12秒前
13秒前
充电宝应助冷静的莞采纳,获得10
13秒前
科研通AI6.2应助Yuuuan采纳,获得10
13秒前
molihuakai应助pretty采纳,获得10
13秒前
13秒前
椰子壳完成签到,获得积分10
13秒前
14秒前
强健的玉兰完成签到,获得积分10
14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
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
核安全综合知识2024版 500
Photothermal Science and Techniques 500
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 500
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7718483
求助须知:如何正确求助?哪些是违规求助? 9272608
关于积分的说明 20092277
捐赠科研通 7294467
什么是DOI,文献DOI怎么找? 3299403
关于科研通互助平台的介绍 2453320
邀请新用户注册赠送积分活动 2306783