Association of serum secreted protein acidic and rich in cysteine-like protein 1 with metabolic measures and dyslipidemia among Chinese adults.

Association of serum secreted protein acidic and rich in cysteine-like protein 1 with metabolic measures and dyslipidemia among Chinese adults.
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DOI:
10.3389/fendo.2022.1018657
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发表时间:
2022
影响因子:
5.2
通讯作者:
Lu, Jieli
Lu, Jieli
中科院分区:
医学2区
文献类型:
--
作者:
Hu, Chunyan;Wang, Shuangyuan;Lin, Lin;Qi, Hongyan;Lin, Hong;Jia, Xiaojing;Zhu, Yuanyue;Wu, Xueyan;Li, Mian;Wang, Tiange;Zhao, Zhiyun;Xu, Min;Xu, Yu;Wang, Weiqing;Ning, Guang;Bi, Yufang;Li, Donghui;Chen, Yuhong;Dai, Meng;Lu, Jieli

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近年来研究发现,富含半胱氨酸样蛋白1(Sparcl 1)的酸性分泌蛋白可通过过氧化物酶体增殖物激活受体-γ(PPARγ)信号通路抑制脂滴积聚。然而,在人群研究中,血清Sparcl 1水平与血脂谱和其他代谢表型的关联仍然未知。我们确定血清Sparcl 1使用夹心酶联免疫吸附试验在1750名40岁及以上的成年人从上海,中国的社区。广义线性回归模型用于评估Sparcl 1和代谢指标之间的关联。采用多因素校正logistic回归分析评价血清Sparcl 1水平与血脂异常的关系。随着血清Sparcl 1水平的升高,受试者的甘油三酯水平有降低的趋势,而高密度脂蛋白胆固醇水平有升高的趋势(P均< 0.01)。未观察到血清Sparcl 1与血糖、血压或体型之间存在显著相关性。广义线性回归模型显示血清Sparcl 1每标准差(SD)增量与甘油三酯显著负相关(β=-0.06,P =0.02)。血脂异常的患病率在sparcl 1四分位数中降低(趋势P <0.01)。在控制了潜在的混杂因素后,与最低四分位数相比,sparcl 1浓度最高四分位数的参与者血脂异常的患病率最低(比值比[OR],0.69; 95%置信区间[CI],0.52-0.91)。Sparcl 1每SD增加与高血脂症患病率降低20%(OR,0.80; 95%CI,0.69-0.94)和血脂异常患病率降低12%(OR,0.88; 95%CI,0.79-0.97)相关。血清Sparcl 1和血脂异常之间的相关性在亚组中基本一致(所有相互作用P> 0.05)。在中国人群中,血清Sparcl 1与血脂异常患病风险降低显著相关。需要进一步的研究来证实这种关联。
Recent studies found that secreted protein acidic and rich in cysteine-like protein 1 (Sparcl1) could inhibit lipid droplets accumulation by peroxisome proliferator-activated receptor-gamma (PPARγ) signal pathway. However, the associations of serum Sparcl1 level with lipids profiles and other metabolic phenotypes remain unknown in human population study. We determined serum Sparcl1 using sandwich enzyme-linked immunosorbent assays among 1750 adults aged 40 years and older from a community in Shanghai, China. Generalized linear regression models were used to evaluate the association between Sparcl1 and metabolic measures. Multivariable-adjusted logistic regression analyses were performed to evaluate the relationship of serum Sparcl1 with prevalent dyslipidemia. With the increment of serum Sparcl1, participants tended to have lower level of triglycerides, and higher level of high-density lipoprotein cholesterol (all P for trend < 0.01). No significant associations between serum Sparcl1 and glucose, blood pressure, or body size were observed. The generalized linear regression models suggested that per standard deviation (SD) increment of serum Sparcl1 was significantly inversely associated with triglycerides (β= -0.06, P=0.02). The prevalence of dyslipidemia decreased across the sparcl1 quartiles (P for trend <0.01). After controlling the potential confounders, participants in the highest quartile of sparcl1 concentration had the lowest prevalence of dyslipidemia (odds ratio [OR], 0.69; 95% confidence interval [CI], 0.52-0.91), compared with the lowest quartile. Per SD increment of Sparcl1 was associated with 20% (OR, 0.80; 95%CI, 0.69-0.94) lower prevalence of hypertriglyceridemia and 12% (OR, 0.88; 95%CI, 0.79-0.97) lower prevalence of dyslipidemia. The association between serum Sparcl1 and dyslipidemia were generally consistent across subgroups (all P for interaction > 0.05). Serum Sparcl1 was significantly associated with decreased risk of prevalent dyslipidemia in Chinese population. Further studies are warranted to confirm this association.
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