The Relationship Between Novel Inflammatory Markers and Serum 25-Hydroxyvitamin D Among US Adults

IF 3.1 4区医学 Q3 IMMUNOLOGY

Immunity, Inflammation and Disease Pub Date : 2025-01-14 DOI:10.1002/iid3.70115

Hang Zhao, Yangyang Zhao, Yini Fang, Weibang Zhou, Wenjing Zhang, Jiecheng Peng

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引用次数: 0

Abstract

Background

Vitamin D is the focus of extensive medical research globally. Recent studies have investigated the correlation between serum 25-hydroxyvitamin D (25(OH)D) and common inflammatory markers. However, few studies have incorporated novel inflammatory markers such as the platelet-to-lymphocyte ratio (PLR), platelet-to-high density lipoprotein cholesterol ratio (PHR), systemic inflammatory index (SII), neutrophil-to-lymphocyte ratio (NLR), systemic inflammatory response (SIRI), and neutrophil-to-high-density lipoprotein cholesterol ratio (NHR). This study investigated these correlations among adults in the USA.

Methods

We ultimately included a total of 5308 participants from the National Health and Nutrition Examination Survey (NHANES) database spanning 2007 to 2018. A multivariable linear regression model assessed the links between serum 25(OH)D and these novel inflammatory markers, with subgroup analyses for hypertension and diabetes. To further explore the relationship between the two, we applied smooth curve fittings and generalized additive models. Upon detecting nonlinear relationships, we used a recursive algorithm to pinpoint the inflection point.

Results

In our multivariate linear regression model, serum 25(OH)D concentrations were negatively correlated with NHR (β = −0.003, 95% CI: −0.005 to −0.001), NLR (β = −0.002, 95% CI: −0.003 to 0.000), SII (β = −0.579, 95% CI: −0.954 to −0.205), PHR (β = −0.171, 95% CI: −0.249 to −0.093), and PLR (β = −0.096, 95% CI: −0.051 to −0.040) among adults in the USA. Nevertheless, no significant association was found with SIRI (β = −0.001, 95% CI: −0.002 to 0.000). Subgroup analysis by hypertension and diabetes showed that in the hypertensive group, serum 25(OH)D was significantly and negatively associated with NHR, NLR, SII, SIRI, PHR, and PLR. However, no correlation was found in the diabetic group between serum 25(OH)D levels and these inflammatory markers.

Conclusions

Our research confirms that serum 25(OH)D levels are negatively correlated with several novel inflammatory markers among adults in the USA, suggesting potential directions for further research into vitamin D's role in inflammation.

Abstract Image

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美国成人新型炎症标志物与血清25-羟基维生素D的关系

背景：维生素D是全球广泛医学研究的焦点。最近的研究调查了血清25-羟基维生素D （25(OH)D）与常见炎症标志物之间的相关性。然而，很少有研究纳入新的炎症标志物，如血小板与淋巴细胞比值（PLR）、血小板与高密度脂蛋白胆固醇比值（PHR）、全身炎症指数（SII）、中性粒细胞与淋巴细胞比值（NLR）、全身炎症反应（SIRI）和中性粒细胞与高密度脂蛋白胆固醇比值（NHR）。这项研究调查了美国成年人的这些相关性。方法：我们最终从2007年至2018年的国家健康与营养检查调查（NHANES）数据库中纳入了5308名参与者。多变量线性回归模型评估了血清25(OH)D与这些新型炎症标志物之间的联系，并对高血压和糖尿病进行了亚组分析。为了进一步探讨两者之间的关系，我们采用了光滑曲线拟合和广义加性模型。在检测非线性关系后，我们使用递归算法来确定拐点。结果：在我们的多元线性回归模型中，美国成人血清25(OH)D浓度与NHR （β = -0.003, 95% CI: -0.005 ~ -0.001）、NLR （β = -0.002, 95% CI: -0.003 ~ 0.000）、SII （β = -0.579, 95% CI: -0.954 ~ -0.205）、PHR （β = -0.171, 95% CI: -0.249 ~ -0.093）和PLR （β = -0.096, 95% CI: -0.051 ~ -0.040）呈负相关。然而，没有发现与SIRI有显著关联（β = -0.001, 95% CI: -0.002至0.000）。高血压和糖尿病亚组分析显示，高血压组血清25(OH)D与NHR、NLR、SII、SIRI、PHR、PLR呈显著负相关。然而，在糖尿病组中，血清25(OH)D水平与这些炎症标志物之间没有相关性。结论：我们的研究证实了美国成年人血清25(OH)D水平与几种新型炎症标志物呈负相关，这为进一步研究维生素D在炎症中的作用提供了潜在的方向。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Immunity, Inflammation and Disease Medicine-Immunology and Allergy

CiteScore

3.60

自引率

0.00%

发文量

146

审稿时长

8 weeks

期刊介绍： Immunity, Inflammation and Disease is a peer-reviewed, open access, interdisciplinary journal providing rapid publication of research across the broad field of immunology. Immunity, Inflammation and Disease gives rapid consideration to papers in all areas of clinical and basic research. The journal is indexed in Medline and the Science Citation Index Expanded (part of Web of Science), among others. It welcomes original work that enhances the understanding of immunology in areas including: • cellular and molecular immunology • clinical immunology • allergy • immunochemistry • immunogenetics • immune signalling • immune development • imaging • mathematical modelling • autoimmunity • transplantation immunology • cancer immunology