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高密度脂蛋白胆固醇与7种自身抗体之间的关联:基于2018年至2023年体检数据的研究

Association between high-density lipoprotein cholesterol and 7-autoantibodies: a study on physical examination data from 2018 to 2023.

作者信息

Zhou Yang, Sun Yongbing, Qiao Qi, Qi Xin, Lin Xinbei, Du Yawei, Liu Ao, Zhou Jing, Lv Xue, Li Zhonglin, Wu Xiaoling, Zou Zhi, Zhang Michael, Zhu Jiadong, Shang Feifei, Li Hao, Li Yongli

机构信息

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

Department of Medical Imaging, Henan Provincial People's Hospital, Xinxiang Medical University, Zhengzhou, Henan, China.

出版信息

Front Endocrinol (Lausanne). 2025 Mar 6;16:1504266. doi: 10.3389/fendo.2025.1504266. eCollection 2025.

DOI:10.3389/fendo.2025.1504266
PMID:40115741
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11922732/
Abstract

BACKGROUND

Limited research has explored the effect of high-density lipoprotein cholesterol (HDL-C) on lung cancer's seven autoantibodies (7-AABs). This study investigated the association between serum HDL-C and 7-AABs among 5,574 Chinese adults aged ≥ 18 years from January 2018 to December 2023.

METHODS

This cross-sectional study utilized physical examination data from the Department of Health Management at Henan Provincial People's Hospital. The associations between HDL-C and autoantibodies, such as tumor protein 53(P53), SRY-box containing gene 2 (SOX2), and ATP-dependent RNA helicase 4-5 (GBU4-5), were modeled using a restricted cubic spline logistic regression model.

RESULTS

After the adjustment for factors, such as age and body mass index, the binary logistic regression model showed distinct correlations between serum HDL-C levels and autoantibodies, including P53, SOX2, and 7-AABs. Restricted cubic spline logistic regression analysis indicated that the increased level of serum HDL-C was associated with a decreased risk of positive P53 (all participants: HDL-C: 1.227-1.366 mmol/L, =0.028), SOX2 (all participants: HDL-C ≥ 1.227 mmol/L, =0.021; all women: HDL-C ≥ 1.224 mmol/L, =0.037), GBU4-5 (all women: HDL-C ≥ 1.269 mmol/L, =0.039), and 7-AABs (all women: HDL-C ≥ 1.224 mmol/L, =0.015). In women, HDL-C levels between 1.163 and 1.224 mmol/L correlated with an increased risk of positive 7-AABs test results.

CONCLUSIONS

Elevated HDL-C levels exhibited an independent association with a reduced risk of positivity for 7-AABs of lung cancer, especially in the female physical examination population. These findings suggest that high HDL-C levels may play a role in hindering lung cancer development with gender differences. However, further confirmation is still needed in the future.

摘要

背景

关于高密度脂蛋白胆固醇(HDL-C)对肺癌七种自身抗体(7-AABs)影响的研究有限。本研究调查了2018年1月至2023年12月期间5574名年龄≥18岁的中国成年人血清HDL-C与7-AABs之间的关联。

方法

这项横断面研究利用了河南省人民医院健康管理部的体检数据。使用受限立方样条逻辑回归模型对HDL-C与自身抗体之间的关联进行建模,这些自身抗体包括肿瘤蛋白53(P53)、含SRY盒基因2(SOX2)和ATP依赖性RNA解旋酶4-5(GBU4-5)。

结果

在对年龄和体重指数等因素进行调整后,二元逻辑回归模型显示血清HDL-C水平与自身抗体之间存在明显相关性,包括P53、SOX2和7-AABs。受限立方样条逻辑回归分析表明,血清HDL-C水平升高与P53阳性风险降低相关(所有参与者:HDL-C:1.227 - 1.366 mmol/L,P = 0.028),与SOX2阳性风险降低相关(所有参与者:HDL-C≥1.227 mmol/L,P = 0.021;所有女性:HDL-C≥1.224 mmol/L,P = 0.037),与GBU4-5阳性风险降低相关(所有女性:HDL-C≥1.269 mmol/L,P = 0.039),与7-AABs阳性风险降低相关(所有女性:HDL-C≥1.224 mmol/L,P = 0.015)。在女性中,HDL-C水平在1.163至1.224 mmol/L之间与7-AABs检测结果阳性风险增加相关。

结论

HDL-C水平升高与肺癌7-AABs阳性风险降低呈独立关联,尤其是在女性体检人群中。这些发现表明,高HDL-C水平可能在阻碍肺癌发展中起作用,且存在性别差异。然而,未来仍需进一步证实。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d715/11922732/c4d6706cba11/fendo-16-1504266-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d715/11922732/8cfc44bcacaa/fendo-16-1504266-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d715/11922732/c0366565f24a/fendo-16-1504266-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d715/11922732/1a8320b269c1/fendo-16-1504266-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d715/11922732/fbccbf0a4318/fendo-16-1504266-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d715/11922732/c4d6706cba11/fendo-16-1504266-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d715/11922732/8cfc44bcacaa/fendo-16-1504266-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d715/11922732/c0366565f24a/fendo-16-1504266-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d715/11922732/1a8320b269c1/fendo-16-1504266-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d715/11922732/fbccbf0a4318/fendo-16-1504266-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d715/11922732/c4d6706cba11/fendo-16-1504266-g005.jpg

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