Fang Ying, Hu Dandan, Li Qin, Chen Mei, Yin Cuiying
Third Affiliated Hospital of Zhejiang Chinese Medicine University, Department of Respiratory and Critical Care Medicine, Hangzhou, Zhejiang Province, China.
Third Affiliated Hospital of Zhejiang Chinese Medicine University, 2Department of Critical Care Medicine, Hangzhou, Zhejiang Province, China.
J Med Biochem. 2024 Nov 16;43(6):908-914. doi: 10.5937/jomb0-49201.
The pathogenesis of chronic obstructive pulmonary disease (COPD) is not fully understood. This work aimed to demonstrate the role of serum free light chains (sFLC) in the pulmonary inflammatory response of COPD patients and its relationship with serum inflammatory cytokine (IC) levels.
Eighty subjects were enrolled, including 40 COPD patients (COPD group) and 40 healthy controls (control group). All patients were further rolled into four subgroups regarding the Global Initiative for Chronic Obstructive Lung Disease (GOLD) staging criteria. The serum levels of sFLC and ICs were compared between the two groups, and their correlations with lung function indicators were analyzed.
The serum sFLC levels of COPD patients were markedly superior to those of healthy controls. The levels of serum sFLC and ICs (tumour necrosis factor-a (TNF-a), interleukin (IL)-6, IL-8) gradually increased with the severity of the disease. The levels of ICs were negatively correlated with lung function indicators (FEV1% predicted, FEV1/FVC).
These findings suggest that serum sFLC may play a critical role in the pulmonary inflammatory response of COPD patients and serve as a potential indicator for evaluating COPD severity and predicting disease progression.
慢性阻塞性肺疾病(COPD)的发病机制尚未完全明确。本研究旨在探讨血清游离轻链(sFLC)在COPD患者肺部炎症反应中的作用及其与血清炎症细胞因子(IC)水平的关系。
纳入80名受试者,包括40例COPD患者(COPD组)和40名健康对照者(对照组)。所有患者根据慢性阻塞性肺疾病全球倡议(GOLD)分期标准进一步分为四个亚组。比较两组患者血清sFLC和ICs水平,并分析其与肺功能指标的相关性。
COPD患者血清sFLC水平显著高于健康对照者。血清sFLC和ICs(肿瘤坏死因子-α(TNF-α)、白细胞介素(IL)-6、IL-8)水平随疾病严重程度逐渐升高。ICs水平与肺功能指标(预测第一秒用力呼气容积百分比(FEV1%predicted)、FEV1/FVC)呈负相关。
这些结果表明,血清sFLC可能在COPD患者肺部炎症反应中起关键作用,并可作为评估COPD严重程度和预测疾病进展的潜在指标。