S100A9/CD163 expression profiles in classical monocytes as biomarkers to discriminate idiopathic pulmonary fibrosis from idiopathic nonspecific interstitial pneumonia.
S100A9/CD163 expression profiles in classical monocytes as biomarkers to discriminate idiopathic pulmonary fibrosis from idiopathic nonspecific interstitial pneumonia.
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DOI：
10.1038/s41598-021-91407-9
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发表时间：
2021-06-09
影响因子：
4.6
通讯作者：
Yamauchi K
中科院分区：
文献类型：
--
作者：
Yamashita M;Utsumi Y;Nagashima H;Nitanai H;Yamauchi K
循环单核细胞在特发性肺纤维化（IPF）中具有致病相关性。在此，我们通过流式细胞术确定了在CD 14 + CD 16-经典单核细胞上表达的两种标志物（促炎相关S100 A9和抗炎相关CD 163）的细胞表面水平是否可以区分IPF和特发性非特异性间质性肺炎（iNSIP）。本研究前瞻性入组了25例IPF患者、25例iNSIP患者和20例健康志愿者。与IPF相比，iNSIP中经典单核细胞中S100 A9 + CD 163 −细胞百分比显示单核细胞显著降低。相反，iNSIP患者中S100 A9 − CD 163+细胞的百分比显著高于IPF患者和健康志愿者。在IPF患者中，S100 A9 + CD 163 −单核细胞百分比与表面活性蛋白-D（SP-D）血清水平之间存在相关性趋势（r = 0.4158，[95%置信区间（CI）-0.02042-0.7191]，p = 0.051）。通过多变量回归分析，S100 A9 + CD 163 −和S100 A9 − CD 163+细胞的个体百分比也与IPF独立相关。用于区分IPF与iNSIP的未校正的受试者工作特征曲线下面积（ROC-AUC）为（ROC-AUC 0.802，95% CI [0.687-0.928]），表明这些是比血清SP-D更好的生物标志物（p < 0.05）。这项初步研究报告了IPF和iNSIP之间单核细胞表型的首次比较表征。
Circulating monocytes have pathogenic relevance in idiopathic pulmonary fibrosis (IPF). Here, we determined whether the cell surface levels of two markers, pro-inflammatory-related S100A9 and anti-inflammatory-related CD163, expressed on CD14strongCD16− classical monocytes by flow cytometry could discriminate IPF from idiopathic nonspecific interstitial pneumonia (iNSIP). Twenty-five patients with IPF, 25 with iNSIP, and 20 healthy volunteers were prospectively enrolled in this study. The S100A9+CD163− cell percentages in classical monocytes showed a pronounced decrease on monocytes in iNSIP compared to that in IPF. In contrast, the percentages of S100A9−CD163+ cells were significantly higher in iNSIP patients than in IPF patients and healthy volunteers. In IPF patients, there was a trend toward a correlation between the percentage of S100A9+CD163− monocytes and the surfactant protein-D (SP-D) serum levels (r = 0.4158, [95% confidence interval (CI) − 0.02042–0.7191], p = 0.051). The individual percentages of S100A9+CD163− and S100A9−CD163+ cells were also independently associated with IPF through multivariate regression analysis. The unadjusted area under the receiver operating characteristic curve (ROC-AUC) to discriminate IPF from iNSIP was (ROC-AUC 0.802, 95% CI [0.687–0.928]), suggesting that these are better biomarkers than serum SP-D (p < 0.05). This preliminary study reports the first comparative characterization of monocyte phenotypes between IPF and iNSIP.
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