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美国成年女性α-1-酸性糖蛋白浓度与抑郁症之间的关联:一项来自2021 - 2023年美国国家健康与营养检查调查(NHANES)的横断面研究

Association between the Alpha-1-acid glycoprotein concentrations and depression in US adult women: a cross-sectional study from NHANES 2021-2023.

作者信息

Zhao Wanchen, Zhang Hui, Li Zhen, Ma Cong, Huo Xiaopeng, Guo Na

机构信息

Department of Nursing, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.

Department of Clinical Nutrition, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.

出版信息

Front Psychiatry. 2025 Jun 3;16:1555321. doi: 10.3389/fpsyt.2025.1555321. eCollection 2025.

DOI:10.3389/fpsyt.2025.1555321
PMID:40530060
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12172548/
Abstract

BACKGROUND

Recent evidence suggests that there is a close correlation of inflammation with depression. Therefore, our study aims to explore the association of Alpha-1-acid glycoprotein (AGP), a highly sensitive inflammatory biomarker, with depression in US adult women.

METHODS

Data from the National Health and Nutrition Examination Survey (NHANES) from 2021-2023 were selected for this study. Both AGP concentrations and depression levels were assessed using standardized survey instruments. Multivariate logistic and linear regression, and restricted cubic splines models (RCS) were performed to evaluate the relationship of AGP concentrations with depression. Stratified analyses and multiplicative interaction testing were conducted to evaluate the robustness of the observed association across relevant subgroups.

RESULTS

AGP concentrations demonstrated a positive linear association with depression among US adult women. Each standardized unit increment in ln-transformed AGP concentrations was associated with significantly higher odds of depression (OR = 2.04, 95% CI: 1.17-3.57) and a 1.47-point increase in PHQ-9 scores (β = 1.47, 95% CI: 0.37-2.56) in the fully adjusted model. Furthermore, compared with participants in the lowest AGP concentration quartile, those in the highest quartile exhibited 72% greater odds of depression (OR = 1.72, 95%CI: 1.03-2.87), and 1.32-point higher PHQ-9 scores ( = 1.32, 95%CI: 0.31-2.34) in the fully adjusted model. This positive association remained consistent across several subgroups and our sensitivity analysis. In addition, compared to C-reactive protein (CRP), AGP had a stronger predictive effect on depression using the ROC curve.

CONCLUSIONS

AGP exhibited a positive linear association with depression in US adult women. This positive association remained consistent across several subgroups. Furthermore, AGP had a stronger predictive effect on depression compared to CRP.

摘要

背景

最近的证据表明炎症与抑郁症密切相关。因此,我们的研究旨在探讨一种高度敏感的炎症生物标志物α-1-酸性糖蛋白(AGP)与美国成年女性抑郁症之间的关联。

方法

本研究选取了2021年至2023年美国国家健康与营养检查调查(NHANES)的数据。使用标准化调查工具评估AGP浓度和抑郁水平。进行多变量逻辑回归和线性回归以及受限立方样条模型(RCS)以评估AGP浓度与抑郁症之间的关系。进行分层分析和乘法交互作用检验以评估在相关亚组中观察到的关联的稳健性。

结果

在美国成年女性中,AGP浓度与抑郁症呈正线性关联。在完全调整模型中,ln转换后的AGP浓度每增加一个标准化单位,抑郁症的患病几率显著更高(OR = 2.04,95%CI:1.17 - 3.57),且PHQ - 9评分增加1.47分(β = 1.47, 95%CI:0.37 - 2.56)。此外,与AGP浓度最低四分位数的参与者相比,最高四分位数的参与者在完全调整模型中抑郁症的患病几率高72%(OR = 1.72, 95%CI:1.03 - 2.87),且PHQ - 9评分高1.32分(β = 1.32, 95%CI:0.31 - 2.34)。这种正相关在几个亚组和我们的敏感性分析中保持一致。此外,与C反应蛋白(CRP)相比,使用ROC曲线时AGP对抑郁症的预测作用更强。

结论

在美国成年女性中,AGP与抑郁症呈正线性关联。这种正相关在几个亚组中保持一致。此外,与CRP相比,AGP对抑郁症的预测作用更强。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6784/12172548/cf4a82361fee/fpsyt-16-1555321-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6784/12172548/cbe645cb5e8f/fpsyt-16-1555321-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6784/12172548/cfdd8b1ff7c7/fpsyt-16-1555321-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6784/12172548/2fc403844bd0/fpsyt-16-1555321-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6784/12172548/91a327d1645c/fpsyt-16-1555321-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6784/12172548/cf4a82361fee/fpsyt-16-1555321-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6784/12172548/cbe645cb5e8f/fpsyt-16-1555321-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6784/12172548/cfdd8b1ff7c7/fpsyt-16-1555321-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6784/12172548/2fc403844bd0/fpsyt-16-1555321-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6784/12172548/91a327d1645c/fpsyt-16-1555321-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6784/12172548/cf4a82361fee/fpsyt-16-1555321-g005.jpg

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