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ALB、HP、OAF 和 RBP4 作为 DIA 识别肺结核治愈患者的新型蛋白质生物标志物。

ALB, HP, OAF and RBP4 as novel protein biomarkers for identifying cured patients with pulmonary tuberculosis by DIA.

机构信息

The Medical Research Center, Yue Bei People's Hospital, Shantou University Medical College, Shaoguan 512025, China.

The Medical Research Center, Yue Bei People's Hospital, Shantou University Medical College, Shaoguan 512025, China; The Central Laboratory, Yangjiang People's Hospital, Yangjiang 529500, China.

出版信息

Clin Chim Acta. 2022 Oct 1;535:82-91. doi: 10.1016/j.cca.2022.08.002. Epub 2022 Aug 12.

DOI:10.1016/j.cca.2022.08.002
PMID:35964702
Abstract

BACKGROUND

Pulmonary tuberculosis (TB) is a serious infectious disease that lacks robust blood-based biomarkers to identify cured TB. Some discharged patients are not fully cured and may relapse or even develop multidrug-resistant TB. This study is committed to finding proteomic-based plasma biomarkers to support establishing laboratory standards for clinical TB cure.

METHODS

Data-independent acquisition (DIA) was used to obtain the plasma protein expression profiles of TB patients at different treatment stages compared with healthy controls. Multivariate statistical methods and bioinformatics were used to analyze the data.

RESULTS

Bioinformatic analysis suggests coagulation dysfunction and vitamin and lipid metabolism disturbances in TB. Albumin (ALB), haptoglobin (HP), out at first protein homolog (OAF), and retinol-binding protein 4 (RBP4) can be used to establish a diagnostic model for the efficacy evaluation of TB with an area under the curve of 0.963, which could effectively distinguish untreated TB patients from cured patients.

CONCLUSIONS

Our research demonstrated that ALB, HP, OAF and RBP4 can be potential biomarkers for evaluating the efficacy of TB. These findings may provide experimental data for establishing the laboratory indicators of clinical TB cure and providing clinicians with new targets for exploring the underlying mechanisms of TB pathogenesis.

摘要

背景

肺结核(TB)是一种严重的传染病,缺乏用于识别治愈 TB 的强大基于血液的生物标志物。一些出院的患者并未完全治愈,可能会复发甚至发展为耐多药 TB。本研究致力于寻找基于蛋白质组的血浆生物标志物,以支持建立临床 TB 治愈的实验室标准。

方法

与健康对照组相比,使用数据非依赖性采集(DIA)获得不同治疗阶段 TB 患者的血浆蛋白表达谱。使用多变量统计方法和生物信息学对数据进行分析。

结果

生物信息学分析表明,TB 存在凝血功能障碍和维生素及脂质代谢紊乱。白蛋白(ALB)、触珠蛋白(HP)、初乳蛋白同源物(OAF)和视黄醇结合蛋白 4(RBP4)可用于建立 TB 疗效评估的诊断模型,曲线下面积为 0.963,可有效区分未经治疗的 TB 患者和治愈患者。

结论

我们的研究表明,ALB、HP、OAF 和 RBP4 可能是评估 TB 疗效的潜在生物标志物。这些发现可能为建立临床 TB 治愈的实验室指标提供实验数据,并为临床医生探索 TB 发病机制的潜在机制提供新的目标。

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