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血清sortilin、高迁移率族蛋白B1(HMGB1)和甘丙肽样肽对多囊卵巢综合征女性妊娠糖尿病的预测价值。

Predictive value of serum sortilin, HMGB1, and galanin-like peptide for gestational diabetes mellitus in women with polycystic ovary syndrome.

作者信息

Li Hui, Zhao Xinghao

机构信息

Department of Gynecology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, Henan, China.

出版信息

Front Endocrinol (Lausanne). 2025 May 19;16:1602622. doi: 10.3389/fendo.2025.1602622. eCollection 2025.

Abstract

BACKGROUND

Polycystic ovary syndrome (PCOS) is associated with increased risk of gestational diabetes mellitus (GDM), but reliable early predictive biomarkers remain lacking. This study investigated the predictive value of serum Sortilin, HMGB1, and galanin-like peptide (GALP) for GDM development in PCOS pregnancies.

METHODS

This prospective cohort study enrolled 139 PCOS patients. Serum Sortilin, HMGB1 and GALP levels were measured by ELISA at 8-12 weeks. GDM was diagnosed at 24-28 weeks using 75g OGTT (IADPSG criteria). Predictive performance was assessed using multivariable logistic regression and receiver operating characteristic (ROC) curve analysis, with adjustment for maternal age, BMI, and lipid profiles.

RESULTS

The PCOS-GDM group (n=60) showed significantly higher levels of all biomarkers versus controls (n=79) (all p<0.001). GALP (aOR=1.55, 95%CI:1.05-1.92) and HMGB1 (aOR=1.65, 95%CI:1.50-1.79) independently predicted GDM after adjustment. The combined model achieved superior prediction (AUC=0.84, 95%CI:0.74-0.94) versus individual markers.

CONCLUSION

Serum GALP and HMGB1 are promising early predictors of GDM in PCOS pregnancies, with combined assessment offering optimal risk stratification. These findings may facilitate timely intervention in high-risk populations.

摘要

背景

多囊卵巢综合征(PCOS)与妊娠期糖尿病(GDM)风险增加相关,但仍缺乏可靠的早期预测生物标志物。本研究调查了血清sortilin、高迁移率族蛋白B1(HMGB1)和甘丙肽样肽(GALP)对PCOS妊娠中GDM发生的预测价值。

方法

这项前瞻性队列研究纳入了139例PCOS患者。在孕8 - 12周时通过酶联免疫吸附测定法(ELISA)检测血清sortilin、HMGB1和GALP水平。在孕24 - 28周时使用75g口服葡萄糖耐量试验(OGTT)(国际糖尿病和妊娠研究组协会(IADPSG)标准)诊断GDM。使用多变量逻辑回归和受试者工作特征(ROC)曲线分析评估预测性能,并对产妇年龄、体重指数(BMI)和血脂谱进行校正。

结果

PCOS - GDM组(n = 60)与对照组(n = 79)相比,所有生物标志物水平均显著更高(所有p < 0.001)。校正后,GALP(调整后比值比(aOR)= 1.55,95%置信区间(CI):1.05 - 1.92)和HMGB1(aOR = 1.65,95%CI:1.50 - 1.79)独立预测GDM。联合模型与单个标志物相比,实现了更好的预测(曲线下面积(AUC)= 0.84,95%CI:0.74 - 0.94)。

结论

血清GALP和HMGB1是PCOS妊娠中GDM有前景的早期预测指标,联合评估可提供最佳风险分层。这些发现可能有助于对高危人群进行及时干预。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca70/12127198/835935ac4561/fendo-16-1602622-g001.jpg

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