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全身免疫炎症指数与血清神经丝轻链之间的关联:一项基于美国国家健康与营养检查调查(2013 - 2014年)的人群研究。

Association between systemic immune-inflammation index and serum neurofilament light chain: a population-based study from the NHANES (2013-2014).

作者信息

Liu Xinyu, Yang Yue, Lu Qiutong, Yang Jianshu, Yuan Jing, Hu Jun, Tu Yue

机构信息

Department of Traditional Chinese Medicine Rehabilitation, Acupuncture, Moxibustion and Massage College, Health Preservation and Rehabilitation College, Nanjing University of Chinese Medicine, Nanjing, China.

Department of Big Data Management and Application, Health Economics and Management College, Nanjing University of Chinese Medicine, Nanjing, China.

出版信息

Front Neurol. 2024 Aug 22;15:1432401. doi: 10.3389/fneur.2024.1432401. eCollection 2024.

Abstract

BACKGROUND

The systemic immune-inflammation index (SII) is a novel inflammatory marker used to assess the immune-inflammatory status of the human body. The systemic immune inflammation has an interplay and mutual relationship with neurological disorders. Serum neurofilament light chain (sNfL) is widely regarded as a potential biomarker for various neurological diseases. The study aimed to examine the association between SII and sNfL.

METHODS

This cross-sectional investigation was conducted in a population with complete data on SII and sNfL from the 2013-2014 National Health and Nutrition Examination Survey (NHANES). The SII was calculated by dividing the product of platelet count and neutrophil count by the lymphocyte count. Multivariate linear regression models and smooth curves were used to explore the linear connection between SII and sNfL. Sensitivity analyses, interaction tests, and diabetes subgroup smoothing curve fitting were also performed.

RESULTS

A total of 2,025 participants were included in our present research. SII showed a significant positive association with the natural logarithm-transformed sNfL (ln-sNfL) in crude model [0.17 (0.07, 0.28)], partially adjusted model [0.13 (0.03, 0.22)], and fully adjusted model [0.12 (0.02, 0.22)]. In all participants, the positive association between SII and ln-sNfL served as a linear relationship, as indicated by a smooth curve. Interaction tests showed that age, gender, BMI, hypertension, and diabetes did not have a significant impact on this positive association ( for interaction >0.05). The subgroup analysis of diabetes was conducted using smooth curve fitting. It was found that compared to the group without diabetes and the group in a pre-diabetic state, the effect was more pronounced in the group with diabetes.

CONCLUSION

Our findings suggest that there is a positive association between SII and sNfL. Furthermore, in comparison to individuals without diabetes and those in a pre-diabetic state, the positive association between SII and sNfL was more pronounced in individuals with diabetes. Further large-scale prospective studies are needed to confirm the association between SII and sNfL.

摘要

背景

全身免疫炎症指数(SII)是一种用于评估人体免疫炎症状态的新型炎症标志物。全身免疫炎症与神经系统疾病之间存在相互作用和相互关系。血清神经丝轻链(sNfL)被广泛认为是各种神经系统疾病的潜在生物标志物。本研究旨在探讨SII与sNfL之间的关联。

方法

本横断面调查是在2013 - 2014年国家健康与营养检查调查(NHANES)中对具有SII和sNfL完整数据的人群进行的。SII通过将血小板计数与中性粒细胞计数的乘积除以淋巴细胞计数来计算。使用多元线性回归模型和平滑曲线来探索SII与sNfL之间的线性联系。还进行了敏感性分析、交互作用检验和糖尿病亚组平滑曲线拟合。

结果

本研究共纳入2025名参与者。在粗模型[0.17(0.07,0.28)]、部分调整模型[0.13(0.03,0.22)]和完全调整模型[0.12(0.02,0.22)]中,SII与自然对数转换后的sNfL(ln-sNfL)呈显著正相关。在所有参与者中,SII与ln-sNfL之间的正相关呈线性关系,如平滑曲线所示。交互作用检验表明,年龄、性别、BMI、高血压和糖尿病对这种正相关没有显著影响(交互作用P>0.05)。使用平滑曲线拟合对糖尿病进行亚组分析。发现与无糖尿病组和糖尿病前期组相比,糖尿病组的这种效应更明显。

结论

我们的研究结果表明SII与sNfL之间存在正相关。此外,与无糖尿病个体和糖尿病前期个体相比,SII与sNfL之间的正相关在糖尿病个体中更明显。需要进一步的大规模前瞻性研究来证实SII与sNfL之间的关联。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe75/11374650/baef47e64721/fneur-15-1432401-g001.jpg

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