Comparative host transcriptomics as a tool to identify candidate biomarkers for immune reactions in leprosy using meta-analysis

Anuj Mavlankar, Mukul Sharma, Afzal Ansari, Pushpendra Singh
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Abstract

Leprosy is no longer considered an imprecation, as an effective multidrug therapy regimen is available worldwide for its cure. However, its diverse clinical manifestations sometimes involve acute inflammatory reactions. These complications result in irreversible nerve damage, neuritis and anatomical deformities that emerge before, during the treatment or after the completion of treatment. Reversal reaction (Type-I) and erythema nodosum leprosum (Type-II) are the leprosy reactions generally seen in patients with lepromatous and borderline forms of leprosy. At present, there is no accurate diagnostic test available to detect these leprosy reactions. To identify potential biomarkers indicative of Type-I and Type-II leprosy reactions that could help in their early diagnosis. Host-transcriptomics investigations have been utilised in this study to decipher a correlation between host-gene expression-based biomarkers and exacerbation of leprosy reactions. We present a comparative analysis of publicly available host transcriptomics datasets (from Gene Expression Omnibus) related to leprosy reactions. Individual datasets were analysed and integration of results was carried out using meta-analysis. Common differentially expressed genes (DEGs) were identified using the frequentist and Bayesian ratio association test methods. We have identified several genes – ADAMTS5, ADAMTS9, IFITM2, IFITM3, KIRREL, ANK3, CD1E, CTSF, DOCK9 and KRT73 to name a few – which can serve as potential biomarkers for Type-II reaction. Similarly, ACP5, APOC1, CCL17, S100B, SLC11A1 among others may likely serve as biomarkers for Type-I reaction. The number of datasets related to leprosy reactions found after the systematic search is less (n = 4) and may limit the accuracy of identified biomarker genes. This could be resolved by including more studies in the data analysis. We provide a comprehensive list of gene candidates which could be prioritised further in research focusing on immune reactions in leprosy, as they are likely important in understanding its complexities and could be useful in its early diagnosis.
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以宿主转录组学比较为工具,利用荟萃分析确定麻风病免疫反应的候选生物标志物
麻风病不再被认为是一种蔑称,因为全世界都有有效的多种药物治疗方案来治愈麻风病。然而,麻风病的临床表现多种多样,有时会出现急性炎症反应。这些并发症会导致不可逆转的神经损伤、神经炎和解剖学畸形,在治疗前、治疗过程中或治疗结束后都会出现。逆转反应(I 型)和结节性麻风红斑(II 型)是麻风病人和边缘型麻风病人通常会出现的麻风反应。本研究利用宿主转录组学调查来破译基于宿主基因表达的生物标志物与麻风反应加重之间的相关性。我们对与麻风病反应有关的公开宿主转录组学数据集(来自基因表达总库)进行了比较分析。我们对单个数据集进行了分析,并通过荟萃分析对结果进行了整合。使用频数法和贝叶斯比值关联检验法确定了常见的差异表达基因(DEGs)。我们确定了几个基因--ADAMTS5、ADAMTS9、IFITM2、IFITM3、KIRREL、ANK3、CD1E、CTSF、DOCK9 和 KRT73 等等--可作为 II 型反应的潜在生物标记物。同样,ACP5、APOC1、CCL17、S100B、SLC11A1等也可能成为I型反应的生物标志物。系统搜索后发现的与麻风反应相关的数据集数量较少(n = 4),这可能会限制已确定的生物标志基因的准确性。我们提供了一份全面的候选基因列表,在以麻风病免疫反应为重点的研究中可进一步优先考虑这些基因,因为它们可能对了解麻风病的复杂性非常重要,并有助于麻风病的早期诊断。
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