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Abstract：
Diagnosis of tuberculosis remains a challenge when microbiological tests are negative. Immune cell atlas of patients with tuberculosis and healthy controls were established by single-cell transcriptome. Through integrated analysis of scRNA-seq with microarray and bulk RNA sequencing data, a ferroptosis-related gene signature containing ACSL4, CTSB, and TLR4 genes that were associated with tuberculosis disease was identified. Four gene expression datasets from blood samples of patients with tuberculosis, latent tuberculosis infection, and healthy controls were used to assess the diagnostic value of the gene signature. The areas under the ROC curve for the combined gene signature were 1.000, 0.866, 0.912, and 0.786, respectively, in differentiating active tuberculosis from latent infection. During anti-tuberculosis treatment, the expression of the gene signature decreased significantly in cured patients with tuberculosis. In conclusion, the ferroptosis-related gene signature was associated with tuberculosis treatment efficacy and was a promising biomarker for differentiating active tuberculosis from latent infection.
摘要：
当微生物测试为阴性时，结核病的诊断仍然是一个挑战。通过单细胞转录组建立结核病患者和健康对照的免疫细胞图谱。通过整合分析scRNA-seq与微阵列和批量RNA测序数据，包含ACSL4，CTSB，并鉴定了与结核病相关的TLR4基因。来自结核病患者血液样本的四个基因表达数据集，潜伏性结核感染,和健康对照用于评估基因标签的诊断价值.组合基因标记的ROC曲线下面积分别为1.000、0.866、0.912和0.786,区分活动性结核病和潜伏感染。在抗结核治疗期间，在治愈的结核病患者中,基因签名的表达显著下降.总之,铁凋亡相关基因标签与结核病治疗疗效相关,是区分活动性结核和潜伏感染的有前景的生物标志物.
