基础医学与临床 ›› 2018, Vol. 38 ›› Issue (12): 1673-1679.

• 研究论文 •    下一篇

血清新脂肪因子前神经降压肽与贵州省汉族人群代谢综合征相关

宁冬平1,2,许可1,朱惠娟3,单广良4,王定明5,平波6,余杨文5,潘慧1,龚凤英7   

  1. 1. 北京协和医院
    2. 河北北方学院
    3. 中国医学科学院 北京协和医学院 北京协和医院
    4. 中国医学科学院基础医学研究所 北京协和医学院基础学院
    5. 贵州省疾病预防控制中心
    6. 贵州省龙里县疾病预防控制中心
    7. 北京协和医院内分泌科
  • 收稿日期:2018-08-08 修回日期:2018-10-23 出版日期:2018-12-05 发布日期:2018-11-23
  • 通讯作者: 潘慧 E-mail:panhui20111111@163.com
  • 基金资助:
    国家“十二五”科技支撑项目;中国医学科学院医学与健康科技创新工程项目;国家自然科学基金面上项目;北京市自然科学基金资助项目;北京市自然科学基金资助项目;国家临床重点专科建设项目单位;国家自然科学基金面上项目

Association of serum proneurotensin levels with metabolic syndrome in Guizhou Han population

  • Received:2018-08-08 Revised:2018-10-23 Online:2018-12-05 Published:2018-11-23

摘要: 目的 探讨血清新脂肪因子前神经降压肽(PNT)血清水平与代谢综合征指标的相关性。方法 在中国贵州省汉族体检人群中按年龄、性别匹配设立健康对照组(n=70),按照IDF代谢综合征诊断标准筛选非代谢综合征组(n=84)、代谢综合征组(n=158)。用ELISA测定血清PNT水平。结果 代谢综合征组人群血清PNT水平较对照组明显增高10.3% [ (57.54±13.16) ng/L vs. (52.19±13.28) ng/L,P<0.05 ]。PNT浓度与BMI、脂肪百分比、WHR、TC、TG、DBP、FBG及Cr呈正相关,与年龄呈负相关。TG、FBG、LDL-C 和年龄是血清PNT浓度的独立影响因素。将血清PNT水平进行3等分,二元logistic回归分析发现,校正年龄、性别后,代谢综合征组与对照组相比,血清PNT水平最高分位人群患代谢综合征的风险是PNT水平最低分位人群的2.32倍 (95%CI 1.34~4.87, P<0.05)。结论 首次发现PNT与代谢综合征多个组分如肥胖指标、血糖、血脂和血压均呈正相关,与年龄呈负相关。血清PNT水平增高可能是代谢综合征患病的危险因素。

关键词: proneurotensin, 代谢综合征, 脂肪细胞因子, 相关性

Abstract: Objective To investigate the association of serum proneurotensin (PNT) levels with metabolic syndrome (MetS)-related items. Methods A total of 312 Hans from Guizhou province were recruited in the present study and divided into control, non-MetS and MetS groups according to age and gender. Subjects with or without MetS were diagnosed according to the IDF diagnostic criteria. Serum PNT levels were measured by an enzyme-linked immunosorbent assay method. Results Serum PNT levels in the MetS group were significantly increased by 10.3% compared with the controls [ (57.54±13.16) ng/L vs. (52.19±13.28) ng/L, P<0.05]. Serum PNT level was independently negatively correlated with age, but positively correlated with TG, FBG and LDL-C in all subjects. TG, FBG, LDL-C and age were independent factors for serum PNT levels. According to tertiles of PNT, binary logistic regression analysis between MetS and controls showed that the risk of MetS in subjects with the highest serum PNT levels was 1.32-fold higher than in those with the lowest PNT levels after adjusting for age and gender [odds ratio (OR) = 2.32, 95% confidence interval (CI) 1.34~4.87, P<0.05]. Conclusions It has been founded that serum PNT levels are positively correlated with components of MetS and independently negatively correlated with age. Subjects with high serum PNT levels are more susceptible to MetS than those with low PNT levels. PNT might be the risk factor of MetS.

Key words: proneurotensin (PNT), metabolic syndrome, adipokine, association

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