Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Department of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Front Immunol. 2023 May 26;14:1175764. doi: 10.3389/fimmu.2023.1175764. eCollection 2023.
A series of novel inflammation-related indexes has been confirmed to be efficient indicators of human immune and inflammatory status, with great potential as predictors for a variety of diseases. However, the association between inflammation-related indexes and sex hormones in the general population remained uncertain.
We incorporated data from the NHANES 2013-2016 survey of American adults. On the basis of distribution and comparison analysis, we chose to undertake separate analyses of men and women (including premenopausal and postmenopausal groups). Multivariable weighted linear regression models, eXtreme Gradient Boosting (XGBoost) models, generalized linear analysis, stratified models, logistic regression models and sensitivity analysis were utilized to assess the relationships between inflammation-related indexes and sex hormones.
Total 9372 participants out of 20146 were fitted into our research. We conducted separate gender analysis due to different distribution. Multivariable weighted linear regression indicated every component of the inflammation-related index was negatively correlated with at least one component of the male hormone indexes. However, SII, NLR, PPN, and NC were associated positively with female estradiol. XGBoost identify SII, PLR and NLR were the critical indexes on sex hormones. Inflammation-related indexes was associated with Testosterone deficiency in male and postmenstrual group and associated with Excessive Estradiol in premenstrual group. Finally, the subgroup analysis revealed that the association between sex hormones and inflammatory indicators was prominent in American adults over the age of 60 or those with BMI (>28 kg/m).
In all, inflammation-related indexes act as independent risks associated with sex hormone alterations and metabolic disorder in both genders. Using multiple models, we revealed the relative importance of inflammation-related indexes. Subgroup analysis also identified the high-risk population. More prospective and experimental research should be conducted to validate the results.
一系列新的炎症相关指标已被证实是人类免疫和炎症状态的有效指标，它们在预测各种疾病方面具有很大的潜力。然而，在普通人群中，炎症相关指标与性激素之间的关系仍不确定。
我们纳入了美国成年人 2013-2016 年 NHANES 调查的数据。基于分布和比较分析，我们选择分别对男性和女性（包括绝经前和绝经后组）进行分析。多变量加权线性回归模型、极端梯度提升（XGBoost）模型、广义线性分析、分层模型、逻辑回归模型和敏感性分析用于评估炎症相关指标与性激素之间的关系。
共有 20146 名参与者中的 9372 名符合我们的研究要求。由于分布不同，我们进行了性别分析。多变量加权线性回归表明，炎症相关指标的每个成分都与至少一个男性激素指标的成分呈负相关。然而，SII、NLR、PPN 和 NC 与女性雌二醇呈正相关。XGBoost 确定 SII、PLR 和 NLR 是性激素的关键指标。炎症相关指标与男性睾酮缺乏症和绝经后组相关，与绝经前组的雌激素过多相关。最后，亚组分析表明，性激素和炎症指标之间的关联在年龄大于 60 岁或 BMI（>28kg/m）的美国成年人中更为显著。
总之，炎症相关指标是男性和女性性激素改变和代谢紊乱的独立危险因素。通过使用多种模型，我们揭示了炎症相关指标的相对重要性。亚组分析还确定了高危人群。应进行更多的前瞻性和实验性研究来验证这些结果。
