| 魏权黄奋明卢俊张春春.代谢综合症患者血清IL-18 水平变化及临床意义[J].,2012,12(6):1142-1145 |
| 代谢综合症患者血清IL-18 水平变化及临床意义 |
| Changes of Serum IL-18 Levels in Metabolic Syndrome Patients and itsSignificance |
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| DOI： |
| 中文关键词: IL-18 代谢综合症 肥胖 炎症介质 |
| 英文关键词: Interleukin-18 Metabolic syndrome Obesity Inflammatory mediators |
| 基金项目: |
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| 中文摘要: |
| 目的：研究血清IL-18 与亚代谢综合症（亚MS）、代谢综合症（MS）的关系，探讨生活方式改变（TLC）后IL-18 及相关标记物
的变化及其临床意义。方法：16 例对照组，14 例亚MS 组，34 例MS 组；采用自动生化仪测定空腹血脂水平；采用乳胶增强免疫比
浊法检测hs-CRP 水平；采用ELISA 法检测受试者血清IL-18、IL-6 和脂联素水平。结果：MS 患者血清IL-18 水平与腰围有明显相
关性（rs=0.45，P<0.01）；与亚MS 组比较，MS 组IL-18 水平显著升高（P<0.01）；与正常组比较，MS 组患者的腰围、体重指数、
hs-CRP、IL-6 及IL-18 显著升高（P<0.05）。TLC 后体重减轻5%，MS 患者IL-18、IL-6、hs-CRP 水平显著降低（P<0.01），脂联素水平
显著升高（P<0.01）。结论：IL-18 可作为亚MS 和MS 预测指标，鉴别亚MS 与MS，其含量的变化对病情进展的程度及疗效的判定
有重要意义。 |
| 英文摘要: |
| Objective: To study the relationship of serum IL-18 levels with metabolic syndrome (MS) and pre-MS, to investigate
after lifestyle modification the changes of serum IL-18 levels and related biomarkers, as well as their clinic significance. Methods: Subjects
were divided into control group(n=16), pre-MS group(n=14) and MS group(n=34) . The automatic biochemistry analyzer was employed
to measure the fasting lipid levels. The level of serum high-sensitivity C-reactive protein was detected by immune turbidimetry.
The levels of interleukin-18, IL-6 and adiponectin were detected by ELISA. Results: Levels of IL-18 were highly correlated with waist
circumference (rs=0.45，P<0.01). Compared with pre-MS group, the level of IL-18 was significantly increased in MS group (P<0.01).
When compared with control group, the levels of waist circumference, BMI, hs-CRP, IL-6 and IL-18 showed a significant increase in MS
group. Weight loss of at least 5% caused by lifestyle modification significantly decreased the serum IL-18 concentration and levels of
IL-6 and hs-CRP (P<0.01), but increased the adiponectin levels. Conclusion: IL-18 may be a useful biomarker for distinguishing MS from
pre-MS subjects. The detection of IL-18 and related biomarkers could bring more instructive information in disease severity assessment
and prognosis. |
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