首页|基于MALDI-TOF-MS和ELISA法对多囊卵巢综合征患者胰岛素抵抗的血清蛋白质组学和细胞因子分析

基于MALDI-TOF-MS和ELISA法对多囊卵巢综合征患者胰岛素抵抗的血清蛋白质组学和细胞因子分析

Serum proteomic and cytokine analysis of insulin resistance in patients with polycystic ovary syndrome based on MALDI-TOF-MS and ELISA

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目的 比较多囊卵巢综合征(PCOS)患者发生或不发生胰岛素抵抗(IR)的血清蛋白表达水平差异,确定多囊卵巢综合征发生胰岛素抵抗的潜在血清生物标志物.方法 纳入2022年1-12月期间在东莞市中医院诊治的193例PCOS患者,根据胰岛素抵抗稳态模型评估分为胰岛素抵抗组(PCOS-IR,n=95)和非胰岛素抵抗组(PCOS-NIR,n=98),选择同期非PCOS者为健康对照组(n=34).使用ELISA法测试8个炎症指标:KLF、INF-γ、IL-2、IL-4、IL-6、IL-10、IL-22、TNF-α.基于基质辅助激光解吸/电离飞行时间质谱(MALDI-TOF-MS)技术鉴定PCOS-IR组和PCOS-NIR组之间蛋白表达水平的差异.结果 KLF、IL-4、IL-6和TNF-α4个指标,在PCOS-IR组中含量最高,在健康对照组中含量最低,而INF-γ、IL-2、IL-10和IL-22在PCOS-IR组中含量最低,在健康对照组中含量最高.蛋白多肽质谱学分析显示83个离子峰的相对峰强度在组间具有显著性差异(P<0.05),并且PCA及PLS-DA分析能够明显区分开健康对照组和PCOS-IR组,PCOS组与其他两组虽有分离趋势,但会存在重叠.结论 该研究发现PCOS患者、PCOS-IR患者、与非PCOS者之间的血清蛋白和多肽成分存在差异,在PCOS-IR诊断或筛查方面具有较好潜力.
Objective The aim of this study was to identify potential serum biomarkers of insulin resistance(IR)in polycystic ovary syndrome(PCOS)by comparing the serum protein expression levels between PCOS patients with and with-out insulin resistance(IR).Methods 193 patients with PCOS who were treated at Dongguan Traditional Chinese Medicine Hospital from January 2022 to December 2022 were divided into insulin resistance group(PCOS-IR,n=95)and non insulin resistance group(PCOS-NIR,n=98)based on insulin resistance steady-state model evaluation.Non PCOS patients in the same period were selected as healthy control group(n=34).Eight inflammatory markers were tested using ELISA:KLF,INF-γ,IL-2,IL-4,IL-6,IL-10,IL-22,TNF-α.Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry(MALDI-TOF-MS)was used to identify the differences in protein expression levels between PCOS-IR and PCOS-NIR groups.Results The levels of KLF,IL-4,IL-6 and TNF-α were the highest in the PCOS-IR group and the lowest in the healthy group,while the levels of INF-γ,IL-2,IL-10 and IL-22 were the lowest in the PCOS-IR group and the highest in the healthy group.Peptide mass spectrometry analysis showed that the relative peak intensities of 83 ion peaks were significantly different between the two groups(P<0.05).PCA and PLS-DA analysis could clearly distinguish the healthy control group and the PCOS-IR group.Al-though PCOS group had a tendency to separate from the other two groups,there would be overlap.Conclusion This study found that there were differences in serum protein and polypeptide composition among PCOS group,PCOS-IR group and healthy control group,which had a good potential in the diagnosis or screening of PCOS-IR.

PCOSIRMALDI-TOF-MSdiagnosisinflammation

陈见辉、冯奕习、李汉秋、彭伟如、黄雪梅、薛新娜

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东莞市中医院医学检验科,广东东莞 523005

东莞市中医院输血科,广东东莞 523005

东莞市中医院妇产科,广东东莞 523005

多囊卵巢综合征 胰岛素抵抗 基质辅助激光解吸/电离飞行时间质谱 诊断 炎症

东莞市社会发展科技重点项目

20221800906022

2024

中国优生与遗传杂志
中国优生科学协会

中国优生与遗传杂志

CSTPCD
影响因子:0.527
ISSN:1006-9534
年,卷(期):2024.32(1)
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