A Transcriptomic Biomarker Predicting Linezolid-Associated Neuropathy During Treatment of Drug-Resistant Tuberculosis.

Q1 Medicine
Pathogens and Immunity Pub Date : 2024-06-25 eCollection Date: 2024-01-01 DOI:10.20411/pai.v9i2.705
Nika Zielinski, Dragos Baiceanu, Antonela Dragomir, Jan Heyckendorf, Elmira Ibraim, Niklas Köhler, Christoph Leschczyk, Cristina Popa, Andrea Rachow, Jens Sachsenweger, Patricia Sanchez Carballo, Dagmar Schaub, Hajo Zeeb, Begna Tulu, Andrew R DiNardo, Christoph Lange, Maja Reimann
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引用次数: 0

Abstract

Background: Neuropathic adverse events occur frequently in linezolid-containing regimens, some of which remain irreversible after drug discontinuation.

Objective: We aimed to identify and validate a host RNA-based biomarker that can predict linezolid-associated neuropathy before multidrug-resistant/rifampicin-resistant tuberculosis (MDR/RR-TB) treatment initiation and to identify genes and pathways that are associated with linezolid-associated neuropathy.

Methods: Adult patients initiating MDR/RR-TB treatment including linezolid were prospectively enrolled in 3 independent cohorts in Germany. Clinical data and whole blood RNA for transcriptomic analysis were collected. The primary outcome was linezolid-associated optic and/or peripheral neuropathy. A random forest algorithm was used for biomarker identification. The biomarker was validated in an additional fourth cohort of patients with MDR/RR-TB from Romania.

Results: A total of 52 patients from the 3 identification cohorts received linezolid treatment. Of those, 24 (46.2%) developed peripheral and/or optic neuropathies during linezolid treatment. The majority (59.3%) of the episodes were of moderate (grade 2) severity. In total, the expression of 1,479 genes differed significantly at baseline of treatment. Suprabasin (SBSN) was identified as a potential biomarker to predict linezolid-associated neuropathy. In the validation cohort, 10 of 42 (23.8%) patients developed grade ≥3 neuropathies. The area under the curve for the biomarker algorithm prediction of grade ≥3 neuropathies was 0.63 (poor; 95% confidence interval: 0.42 - 0.84).

Conclusions: We identified and preliminarily validated a potential clinical biomarker to predict linezolid-associated neuropathies before the initiation of MDR/RR-TB therapy. Larger studies of the SBSN biomarker in more diverse populations are warranted.

预测耐药结核病治疗过程中利奈唑胺相关神经病变的转录组生物标记物
背景:含有利奈唑胺的治疗方案中经常出现神经病变不良事件,其中一些在停药后仍不可逆转:我们的目的是在耐多药/耐利福平结核病(MDR/RR-TB)治疗开始前,鉴定并验证一种基于宿主RNA的生物标记物,该标记物可预测利奈唑胺相关神经病变,并鉴定与利奈唑胺相关神经病变相关的基因和通路:在德国的 3 个独立队列中对开始接受包括利奈唑胺在内的 MDR/RR-TB 治疗的成年患者进行了前瞻性登记。收集了临床数据和用于转录组分析的全血 RNA。主要结果是利奈唑胺相关的视神经和/或周围神经病变。生物标记物的鉴定采用随机森林算法。在罗马尼亚的第四批 MDR/RR-TB 患者中对生物标志物进行了验证:3个鉴定队列中共有52名患者接受了利奈唑胺治疗。其中,24 例(46.2%)患者在利奈唑胺治疗期间出现了周围神经和/或视神经病变。大多数病症(59.3%)的严重程度为中度(2级)。共有1479个基因的表达在治疗基线时存在显著差异。Suprabasin(SBSN)被确定为预测利奈唑胺相关神经病变的潜在生物标记物。在验证队列中,42名患者中有10名(23.8%)出现了≥3级神经病变。生物标记物算法预测≥3级神经病变的曲线下面积为0.63(差;95%置信区间:0.42 - 0.84):我们发现并初步验证了一种潜在的临床生物标志物,可在开始 MDR/RR-TB 治疗前预测利奈唑胺相关神经病变。有必要在更多不同人群中对 SBSN 生物标志物进行更大规模的研究。
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来源期刊
Pathogens and Immunity
Pathogens and Immunity Medicine-Infectious Diseases
CiteScore
10.60
自引率
0.00%
发文量
16
审稿时长
10 weeks
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