Suppr超能文献

循环系统中警报素在非节段性白癜风患者中的水平:疾病诊断和活动/严重程度评估的潜在生物标志物。

Circulatory levels of alarmins in patients with non-segmental vitiligo: Potential biomarkers for disease diagnosis and activity/severity assessment.

机构信息

Department of Dermatology, Xijing Hospital, Fourth Military Medical University, Xi'an, China.

Department of Dermatology and Venereology, Nanfang Hospital, Southern Medical University, Guangzhou, China.

出版信息

Front Immunol. 2022 Dec 7;13:1069196. doi: 10.3389/fimmu.2022.1069196. eCollection 2022.

Abstract

BACKGROUND

Non-segmental vitiligo (NSV) is an autoimmune skin disorder that is difficult to determine disease activity/severity and thus to treat. Alarmins have emerged as promising biomarkers in various diseases, so further confirmation of their potential roles in NSV would be of considerable value. With the present work, we aimed to determine the serum levels of alarmins in patients with NSV, correlate these alarmins with disease activity and severity, and analyze the predictive value of the combination of these markers.

METHODS

104 NSV patients and 56 healthy controls were enrolled at the Xijing Hospital of Fourth Military Medical University between September 1, 2018, and June 30, 2019. The serum levels of alarmins (including IL-33, IL-1α, S100A9, S100A12, S100B, and HMGB1) were measured with enzyme-linked immunosorbent assays. The predictive performance of these biomarkers was evaluated with the area under the receiver operating characteristic curve (AUC), sensitivity, specificity, and other representative statistics.

RESULTS

A total of 104 patients with NSV (mean [SD] age, 34.2 [13.0] years; 62 [59.6%] male) and 56 healthy controls (mean [SD] age, 34.8 [13.5] years; 34 [60.7%] male) were enrolled. For vitiligo diagnosis, S100B had the highest sensitivity (92.31%), whereas HMGB1 had the highest specificity (85.71%); the combination of IL-1α, S100B, S100A9, and HMGB1 increased the AUC value to 0.925, with a sensitivity of 87.50% and a specificity of 85.71%. Multivariate logistic regression analysis showed S100B (OR, 1.019; 95% CI, 1.002-1.038;  =0.03), S100A9 (OR, 1.002; 95% CI, 1.001-1.003; <0.001), and HMGB1 (OR, 1.915; 95% CI, 1.186-3.091;  =0.008) were significantly associated with vitiligo activity. S100A9 had the highest accuracy in discriminating patients at the active stage from the stable stage, with an AUC value of 0.827. The combination of these alarmins had an AUC value of 0.860 to assess disease activity, with a sensitivity of 90.00% and a specificity of 72.97%. Furthermore, S100B (r=0.61, 0.001), S100A9 (r=0.33, 0.001), and HMGB1 (r = 0.51, 0.001) levels were positively correlated with the affected body surface area (BSA) in NSV patients.

CONCLUSIONS

Serum S100B, S100A9, and HMGB1 might be biomarkers for diagnosing and assessing the activity/severity of NSV, either used alone or in combination.

摘要

背景

非节段性白癜风(NSV)是一种自身免疫性皮肤疾病,难以确定疾病活动/严重程度,因此难以治疗。警报素已成为各种疾病中有前途的生物标志物,因此进一步证实它们在 NSV 中的潜在作用将具有相当大的价值。本研究旨在确定 NSV 患者血清中警报素的水平,将这些警报素与疾病活动和严重程度相关联,并分析这些标志物联合的预测价值。

方法

2018 年 9 月 1 日至 2019 年 6 月 30 日,我们在第四军医大学西京医院招募了 104 名 NSV 患者和 56 名健康对照者。采用酶联免疫吸附试验测定警报素(包括 IL-33、IL-1α、S100A9、S100A12、S100B 和 HMGB1)的血清水平。采用受试者工作特征曲线(AUC)下面积、灵敏度、特异性和其他代表统计学评估这些生物标志物的预测性能。

结果

共纳入 104 名 NSV 患者(平均[标准差]年龄,34.2[13.0]岁;62[59.6%]男性)和 56 名健康对照者(平均[标准差]年龄,34.8[13.5]岁;34[60.7%]男性)。对于白癜风的诊断,S100B 的灵敏度最高(92.31%),而 HMGB1 的特异性最高(85.71%);IL-1α、S100B、S100A9 和 HMGB1 的联合增加了 AUC 值至 0.925,灵敏度为 87.50%,特异性为 85.71%。多变量逻辑回归分析显示 S100B(OR,1.019;95%CI,1.002-1.038; =0.03)、S100A9(OR,1.002;95%CI,1.001-1.003;<0.001)和 HMGB1(OR,1.915;95%CI,1.186-3.091; =0.008)与白癜风的活动性显著相关。S100A9 在区分活动期和稳定期患者方面具有最高的准确性,AUC 值为 0.827。这些警报素的组合对评估疾病活动具有 AUC 值为 0.860,灵敏度为 90.00%,特异性为 72.97%。此外,S100B(r=0.61,0.001)、S100A9(r=0.33,0.001)和 HMGB1(r=0.51,0.001)水平与 NSV 患者的受累体表面积(BSA)呈正相关。

结论

血清 S100B、S100A9 和 HMGB1 可能是诊断和评估 NSV 活动/严重程度的生物标志物,单独使用或联合使用均可。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd30/9767981/349947644acf/fimmu-13-1069196-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验