Additional file 3: of Biological variation of immunological blood biomarkers in healthy individuals and quality goals for biomarker tests

Figure S1 and Figure S2. There were strong positive correlation coefficients (r) between serum levels of IL-1ra and TNF-α (r = 0.65, p < 0.001), and percentage CD4+ T-cell and CD3 T-cell (r = 0.49, p < 0.001), a strong negative correlation coefficient between serum levels of sIL-6R and percentage of CD4+ T-cell (r = − 0.65, p < 0.001), and between percentage of CD56/16 and CD4+ T-cell (r = − 0.58, p < 0.001). Moderate correlation was seen between serum levels of MIP-1β and sCD14, between serum levels of sIL-2Rα and sCD14, and between serum levels of IFN-γ and IL-6, while no correlation was seen between serum levels of sCD40 and CD4+ T-cell. (ZIP 2800 kb)补充图S1与补充图S2显示：血清白细胞介素-1受体拮抗剂（IL-1ra）与肿瘤坏死因子-α（TNF-α）水平间存在显著正相关（r=0.65，p<0.001），CD4+T细胞占比与CD3+T细胞占比间亦存在显著正相关（r=0.49，p<0.001）；血清可溶性白细胞介素-6受体（sIL-6R）水平与CD4+T细胞占比间、CD56/16阳性细胞占比与CD4+T细胞占比间均存在显著负相关（r分别为-0.65和-0.58，均p<0.001）。巨噬细胞炎性蛋白-1β（MIP-1β）与可溶性CD14（sCD14）血清水平、可溶性白细胞介素-2受体α（sIL-2Rα）与可溶性CD14血清水平、干扰素-γ（IFN-γ）与白细胞介素-6（IL-6）血清水平间存在中等强度相关；而可溶性CD40（sCD40）血清水平与CD4+T细胞占比间无相关关系。（压缩包大小2800千字节）