Single and Joint Associations Between Blood Cell-Based Inflammatory Indicator in Early Pregnancy and Risk of Gestational Diabetes Mellitus (GDM): A Prospective Cohort Study

IF 2.5 3区医学 Q3 IMMUNOLOGY

American Journal of Reproductive Immunology Pub Date : 2024-12-03 DOI:10.1111/aji.70021

Yanling Xiao, Haonan Zhang, Songlin An, Rui Yu, Jing Yang, Xingting Zheng, Nian Wu, Lin Tao, Dengqing Liao, Mingyu Deng, Zhongmei Hu, Yijun Liu, Qing Chen, Yuanzhong Zhou

{"title":"Single and Joint Associations Between Blood Cell-Based Inflammatory Indicator in Early Pregnancy and Risk of Gestational Diabetes Mellitus (GDM): A Prospective Cohort Study","authors":"Yanling Xiao, Haonan Zhang, Songlin An, Rui Yu, Jing Yang, Xingting Zheng, Nian Wu, Lin Tao, Dengqing Liao, Mingyu Deng, Zhongmei Hu, Yijun Liu, Qing Chen, Yuanzhong Zhou","doi":"10.1111/aji.70021","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Problem</h3>\n \n <p>This study aims to introduce the Bayesian kernel machine regression (BKMR) model to explore the single and joint associations between exposure to blood cell-based inflammatory in early pregnant women and gestational diabetes mellitus (GDM).</p>\n </section>\n \n <section>\n \n <h3> Method of Study</h3>\n \n <p>The study included 536 singleton pregnant women from the Zunyi Birth Cohort. Logistic regression, restricted cubic spline regression, and BKMR were used to investigate single, nonlinear, and combined associations.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>In this study, the adjusted odds ratio (OR) of white blood cell (WBC), neutrophil (NEUT), monocyte (MONO), platelet (PLT), neutrophil-to-lymphocyte ratio (NLR), and systemic immune inflammation index (SII) were 2.20 (95% confidence interval [CI]: 1.43–3.37), 2.27 (95% CI: 1.48–3.48), 1.67 (95% CI: 1.09–2.57), 1.66 (95% CI: 1.07–2.58), 1.65 (95% CI: 1.08–2.54), and 1.89 (95% CI: 1.23–2.91), respectively. Nonlinear associations of WBC (cutoff level: 7.91 × 10<sup>9</sup>/L) and NEUT (cutoff level: 5.52 × 10<sup>9</sup>/L) with GDM were also observed. Furthermore, BKMR analysis showed that the risk of GDM was linked with increased levels of blood cell-based inflammatory indicators.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>In early pregnancy, multiple blood cell-based inflammatory indicators are significantly positively correlated with the risk of GDM. Specifically, WBC and NEUT counts exhibit the most prominent association with GDM risk. Therefore, more attention should be paid to the inflammation levels of early pregnant women.</p>\n </section>\n </div>","PeriodicalId":7665,"journal":{"name":"American Journal of Reproductive Immunology","volume":"92 6","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Reproductive Immunology","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/aji.70021","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"IMMUNOLOGY","Score":null,"Total":0}

引用次数: 0

Abstract

Problem

This study aims to introduce the Bayesian kernel machine regression (BKMR) model to explore the single and joint associations between exposure to blood cell-based inflammatory in early pregnant women and gestational diabetes mellitus (GDM).

Method of Study

The study included 536 singleton pregnant women from the Zunyi Birth Cohort. Logistic regression, restricted cubic spline regression, and BKMR were used to investigate single, nonlinear, and combined associations.

Results

In this study, the adjusted odds ratio (OR) of white blood cell (WBC), neutrophil (NEUT), monocyte (MONO), platelet (PLT), neutrophil-to-lymphocyte ratio (NLR), and systemic immune inflammation index (SII) were 2.20 (95% confidence interval [CI]: 1.43–3.37), 2.27 (95% CI: 1.48–3.48), 1.67 (95% CI: 1.09–2.57), 1.66 (95% CI: 1.07–2.58), 1.65 (95% CI: 1.08–2.54), and 1.89 (95% CI: 1.23–2.91), respectively. Nonlinear associations of WBC (cutoff level: 7.91 × 10⁹/L) and NEUT (cutoff level: 5.52 × 10⁹/L) with GDM were also observed. Furthermore, BKMR analysis showed that the risk of GDM was linked with increased levels of blood cell-based inflammatory indicators.

Conclusion

In early pregnancy, multiple blood cell-based inflammatory indicators are significantly positively correlated with the risk of GDM. Specifically, WBC and NEUT counts exhibit the most prominent association with GDM risk. Therefore, more attention should be paid to the inflammation levels of early pregnant women.

查看原文本刊更多论文

妊娠早期血细胞炎性指标与妊娠期糖尿病（GDM）风险之间的单一和联合关联：一项前瞻性队列研究

本研究旨在引入贝叶斯核机回归（BKMR）模型，探讨早期妊娠妇女暴露于血细胞性炎症与妊娠糖尿病（GDM）之间的单一和联合关联。研究对象为来自遵义出生队列的536名单胎孕妇。使用逻辑回归、受限三次样条回归和BKMR来研究单一、非线性和联合关联。结果本研究中，白细胞（WBC）、中性粒细胞（NEUT）、单核细胞（MONO）、血小板（PLT）、中性粒细胞与淋巴细胞比值（NLR）和全身免疫炎症指数（SII）的校正比值比（OR）分别为2.20（95%可信区间[CI]: 1.43 ~ 3.37）、2.27 （95% CI: 1.48 ~ 3.48）、1.67 （95% CI: 1.09 ~ 2.57）、1.66 （95% CI: 1.07 ~ 2.58）、1.65 （95% CI: 1.08 ~ 2.54）和1.89 （95% CI: 1.23 ~ 2.91）。WBC（临界值：7.91 × 109/L）和NEUT（临界值：5.52 × 109/L）与GDM也存在非线性关联。此外，BKMR分析显示，GDM的风险与血细胞炎症指标水平的增加有关。结论妊娠早期多项血细胞炎性指标与GDM发生风险显著正相关。具体而言，WBC和NEUT计数与GDM风险表现出最显著的相关性。因此，应更加关注孕早期妇女的炎症水平。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

American Journal of Reproductive Immunology 医学-免疫学

CiteScore

6.20

自引率

5.60%

发文量

314

审稿时长

2 months

期刊介绍： The American Journal of Reproductive Immunology is an international journal devoted to the presentation of current information in all areas relating to Reproductive Immunology. The journal is directed toward both the basic scientist and the clinician, covering the whole process of reproduction as affected by immunological processes. The journal covers a variety of subspecialty topics, including fertility immunology, pregnancy immunology, immunogenetics, mucosal immunology, immunocontraception, endometriosis, abortion, tumor immunology of the reproductive tract, autoantibodies, infectious disease of the reproductive tract, and technical news.