Distinct cytokine profiles in patients with preeclampsia

被引:1
作者
Guo, Ling [1 ,2 ,3 ]
Lan, Xiangxin [1 ,2 ,3 ]
Liu, Shanshan [4 ]
Xu, Lianqiong [5 ]
Zhu, Shiqin [1 ,2 ,3 ]
Zhao, Hong-jin [6 ,7 ]
Meng, Jinlai [5 ,8 ]
Li, Yan [1 ,2 ,3 ,9 ]
机构
[1] Shandong Univ, Ctr Reprod Med, Jinan 250012, Shandong, Peoples R China
[2] Shandong Univ, Minist Educ, Key Lab Reprod Endocrinol, Jinan 250012, Shandong, Peoples R China
[3] Shandong Univ, Med Integrat & Practice Ctr, Jinan 250012, Shandong, Peoples R China
[4] Nanchang Univ, Queen Mary Sch, Nanchang 330036, Jiangxi, Peoples R China
[5] Shandong First Med Univ, Shandong Prov Hosp, Dept Obstet & Gynecol, Jinan 250021, Shandong, Peoples R China
[6] Shandong Univ, Shandong Prov Hosp, Dept Cardiol, Jinan 250021, Shandong, Peoples R China
[7] Shandong First Med Univ, Shandong Prov Hosp, Dept Cardiol, Jinan 250021, Shandong, Peoples R China
[8] Shandong Univ, Shandong Prov Hosp, Dept Obstet & Gynecol, Jinan 250021, Shandong, Peoples R China
[9] Shandong Univ, Suzhou Res Inst, Suzhou 215123, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Preeclampsia; Pregnancy; Cytokines; Inflammation; PREGNANCY; PATHOPHYSIOLOGY; HYPERTENSION; CELLS;
D O I
10.1007/s00011-023-01709-z
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
ObjectivePreeclampsia (PE) is a common but serious pregnancy complication that adversely affects both maternal and fetal health. However, the mechanisms of its pathogenesis remain unclear, and effective biomarkers for early diagnosis are still lacking.MethodsIn this retrospective study, comprehensive bioinformatic analysis and logistic regression analysis were used to compare profiles of 48 serum cytokines in 27 PE patients with those in 41 normotensive pregnant subjects.ResultsThe results revealed that serum cytokine profiles accumulated to different levels between the two groups, which had significant correlations with the clinical features of PE. Nine cytokines with high discriminatory capacity for diagnosising PE (AUC >= 0.7) were selected for inclusion in a multivariate logistic regression model for PE and calculated as a probability diagnostic formula. This model constructed from the panel of nine cytokines had better diagnostic performance than any individual cytokine (AUC = 0.97, 95% CI 0.94-1.00, P < 0.0001), with a sensitivity of 96.30% and a specificity of 90.24%.ConclusionsThe set of cytokine profiles and risk assessment model described here can serve as a basis for developing early clinical diagnostic and therapeutic strategies for PE.
引用
收藏
页码:847 / 858
页数:12
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