| 张 迪,顾 挺,桑国耀,牛 瑶,刘 扬.活动期溃疡性结肠炎血清S100A2、S100A12与炎症因子的相关性分析及对复发的预测价值[J].现代生物医学进展英文版,2024,(1):91-95. |
| 活动期溃疡性结肠炎血清S100A2、S100A12与炎症因子的相关性分析及对复发的预测价值 |
| Correlation Analysis of Serum S100A2, S100A12 and Inflammatory Factors in Active Ulcerative Colitis and Their Predictive Value for Recurrence |
| Received:May 28, 2023 Revised:June 24, 2023 |
| DOI：10.13241/j.cnki.pmb.2024.01.017 |
| 中文关键词: 溃疡性结肠炎 S100钙结合蛋白A2 S100钙结合蛋白A12 炎症 复发 预测 |
| 英文关键词: Ulcerative colitis S100 calcium-binding protein A2 S100 calcium-binding protein A12 Inflammation Recurrence Prediction |
| 基金项目:新疆维吾尔自治区自然科学基金项目（2021D01C332） |
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| 中文摘要: |
| 摘要 目的：探讨活动期溃疡性结肠炎（UC）血清S100钙结合蛋白（S100）A2、S100A12与炎症因子的相关性分析及对复发的预测价值。方法：选取2019年1月～2021年1月我院收治的102例活动期UC患者为活动期组，根据2年后是否复发分为复发组和未复发组，另选取同期来院复查的50名缓解期UC患者为缓解期组，50名体检健康者为对照组。检测并比较三组血清S100A2、S100A12与炎症因子[C反应蛋白（CRP）、白细胞介素-6（IL-6）、肿瘤坏死因子-α（TNF-α）]水平。采用Pearson/Spearman相关性分析活动期UC患者血清S100A2、S100A12与炎症因子水平的相关性，单因素及多因素Logistic回归分析活动期UC复发的影响因素，受试者工作特征曲线分析血清S100A2、S100A12水平对活动期UC复发的预测价值。结果：对照组、缓解期组、活动期组血清S100A2、S100A12、CRP、IL-6、TNF-α水平依次升高（P＜0.05）。活动期UC患者血清S100A2、S100A12与CRP、IL-6、TNF-α水平均呈正相关（P均＜0.001）。随访2年，102例活动期UC患者复发率为56.86%（58/102）。单因素分析显示，病情严重程度、CRP、IL-6、TNF-α、S100A2、S100A12为活动期UC患者复发的影响因素（P＜0.05）。多因素Logistic回归分析显示，病情严重程度为重度和CRP、IL-6、TNF-α、S100A2、S100A12升高为活动期UC患者复发的独立危险因素（P＜0.05）。血清S100A2、S100A12水平单独和联合预测活动期UC复发的曲线下面积分别为0.782、0.784、0.876，两指标联合预测活动期UC患者复发的预测价值大于各指标单独预测。结论：活动期UC患者血清S100A2、S100A12与炎症因子水平和复发密切相关，血清S100A2、S100A12联合预测活动期UC患者复发的价值较高。 |
| 英文摘要: |
| ABSTRACT Objective: To investigate the correlation analysis of serum S100 calcium-binding protein (S100) A2 and S100A12 and inflammatory factors in active ulcerative colitis (UC) and their predictive value for recurrence. Methods: 102 active UC patients who were admitted to our hospital from January 2019 to January 2021 were selected as active stage group, patients were divided into recurrence group and non-recurrence group according to whether recurrence after 2 year, another 50 remission stage UC patients who came to the hospital for follow-up during the same period were selected as remission stage group, 50 healthy individuals undergoing physical examination were selected as control group. The levels of serum S100A2, S100A12 and inflammatory factors [C-reactive protein (CRP), interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α)] were detected and compared among three groups. The correlation between serum S100A2, S100A12 and inflammatory factors in active UC patients were analyzed by Pearson/Spearman correlation, the influencing factors of recurrence of active UC were analyzed by univariate and multivariate Logistic regression analysis, the predictive value of serum S100A2 and S100A12 levels on the recurrence of active UC were analyzed by receiver operating characteristic curve. Results: The levels of serum S100A2, S100A12, CRP, IL-6 and TNF-α in control group, remission stage group and active stage group increased in turn (P<0.05). The serum levels of S100A2 and S100A12 in active UC patients were positively correlated with the levels of CRP, IL-6 and TNF-α (all P＜0.001). Follow up for 2 year, the recurrence rate of 102 active UC patients was 56.86% (58/102). Single factor analysis shows that, the severity of disease, CRP, IL-6, TNF-α, S100A2 and S100A12 were the influencing factors of recurrence in active UC patients(P<0.05). Multivariate Logistic regression analysis showed that, the severity of the disease was severe and the increase of CRP, IL-6, TNF-α, S100A2 and S100A12 were independent risk factors of recurrence in active UC patients(P<0.05). The areas under the curve of serum S100 A2 and S100 A12 levels alone and in combination for predicting the recurrence of active UC were 0.782, 0.784 and 0.876 respectively, the predictive value of the combination of the two indicators in predicting the recurrence of active UC patients was greater than that of each indicator alone. Conclusion: Serum S100 A2 and S100 A12 are closely relate to the levels of inflammatory factors and recurrence active UC patients, and combination of serum S100A2 and S100A12 has a high value in predicting the recurrence of active UC patients. |
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