循环炎症标志物预测了COVID-19幸存者的抑郁症状
Mariagrazia Palladini1, Mario Gennaro Mazza2, Rebecca De Lorenzo3
1Vita-Salute San Raffaele University, Milano, Italy; Psychiatry and Clinical Psychobiology Unit, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy.
Cytokine
|December 19, 2024
概括
后COVID-19抑郁症可能源于免疫反应. 特定的细胞因子水平,如CCL17和CCL22,与抑郁症有关,而其他细胞因子则对幸存者产生保护作用.
科学领域:
- 神经免疫学 神经免疫学
- 精神病学是一种精神病学.
- 传染病流行病学 传染病流行病学
背景情况:
- 越来越多地承认COVID-19后抑郁症,怀疑免疫失调是关键的神经生物学机制.
- 在SARS-CoV-2感染后持续的低级炎症可能会导致抑郁症状的发展.
研究的目的:
- 调查血清细胞因子水平与COVID-19幸存者的抑郁症存在之间的关联.
- 确定特定的炎症生物标志物,可以预测COVID-19后抑郁症的发展.
主要方法:
- 87名COVID-19幸存者感染后1个月和3个月的血清细胞因子水平被测量.
- 使用贝克抑郁 inventory (BDI-13) 和自评抑郁量表 (ZSDS) 评估抑郁症状.
- 机器学习模型,包括处罚后勤回归和引导分析,用于分析42种炎症化合物并预测抑郁症.
主要成果:
- 在横截面分析中,高水平的CCL17和CCL22与COVID-19后抑郁症有关 (平衡精度:76%;灵敏度:70%).
- 一些细胞因子 (CXCL10,CCL2,CCL3,CCL8,CXCL5,CCL15,CCL23,CXCL13,GM-CSF) 显示出具有保护性的作用.
- 纵向分析显示了CXCL16和CCL25作为额外的预测因子,细胞因子水平的动态变化准确地预测了长期抑郁症 (平衡精度:76% ,灵敏度:75%).
结论:
- 特定的免疫特征,以明显的细胞因子模式为特征,与COVID-19后抑郁症有关.
- 这些发现强调了免疫失调在COVID-19后抑郁症病理生理学的作用.
- 对这些分子机制的进一步研究对于开发针对COVID-19幸存者抑郁症的向治疗策略至关重要.
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