Interleukin-17B is a new biomarker of human muscle regeneration in dystrophinopathies

IF 11.7 1区 医学 Q1 CLINICAL NEUROLOGY Brain Pub Date : 2025-02-11 DOI:10.1093/brain/awaf058
Chang Liu, Zhihao Xie, Qingyue Yuan, Yanyu Lu, Jianwen Deng, Zhaoxia Wang, Lingchao Meng, Yun Yuan, Zhiying Xie
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Abstract

We aimed to identify novel biomarkers of muscle pathological changes via a large-scale histopathology-based multi-omics study of dystrophinopathies. We performed a comparative pathological analysis of 121 Duchenne muscular dystrophy (DMD) and 114 Becker muscular dystrophy (BMD) patients to determine muscle pathological similarities and differences between DMD and BMD that have not been systematically investigated. Customized bioinformatic analyses of bulk muscle RNA-sequencing data derived from 35 DMD patients, 39 BMD patients, and 21 controls were performed to identify gene signatures associated with pathological changes. Validation experiments, including single-nucleus RNA-sequencing, RNAscope in situ hybridization, and immunofluorescence staining, were performed in a subset of DMD and BMD patients, as well as 27 patients with other acquired and inherited myopathies. Systematic pathological analyses revealed that the percentages of necrotic, regenerating, and hypercontractive myofibers and the degree of muscle fibrosis were greater in DMD patients than in BMD patients. In both DMD and BMD patients, the percentages of necrotic, regenerating, and hypercontractive myofibers respectively increased in the early-stage and decreased in later disease stages, whereas muscle fibrosis progressively worsened with disease progression. Comparative transcriptomic analysis indicated that inflammatory responses were significantly activated in DMD patients compared to BMD patients, which was confirmed by immunohistochemistry analyses. Our customized bioinformatic analyses identified the gene set of MYH3, MYH8, IL17B, TNNT2, MYMK, and TDO2 as the most associated gene signature for muscle necrosis and regeneration. Muscle quantitative reverse transcription-polymerase chain reaction analyses confirmed significantly increased levels of IL17B and TNNT2 mRNA expression in both DMD and BMD patients compared to controls. Muscle IL17B mRNA expression was significantly correlated with histological muscle regeneration and negatively correlated with the age of patients with dystrophinopathy. Single-nucleus RNA-sequencing and RNAscope in situ hybridization demonstrated that IL17B mRNA was expressed in regenerating myofibers of patients with DMD and BMD, as well as in various acquired and inherited myopathies. Immunofluorescence staining further confirmed that interleukin-17B was expressed in regenerating myofibers of DMD and BMD patients. Our study provides evidence that interleukin-17B is a new biomarker of muscle regeneration in dystrophinopathies.
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白细胞介素- 17b是肌营养不良症患者肌肉再生的新生物标志物
我们旨在通过大规模的基于组织病理学的肌营养不良病多组学研究,确定肌肉病理变化的新生物标志物。我们对121例Duchenne肌营养不良症(DMD)和114例Becker肌营养不良症(BMD)患者进行了病理比较分析,以确定DMD和BMD之间肌肉病理的异同,这些异同尚未得到系统的研究。对来自35名DMD患者、39名BMD患者和21名对照者的大块肌肉rna测序数据进行了定制的生物信息学分析,以确定与病理变化相关的基因特征。验证实验,包括单核rna测序,RNAscope原位杂交和免疫荧光染色,在DMD和BMD患者亚组以及27例其他获得性和遗传性肌病患者中进行。系统病理分析显示,DMD患者的坏死、再生和过度收缩肌纤维的百分比和肌肉纤维化程度高于BMD患者。在DMD和BMD患者中,坏死肌纤维、再生肌纤维和过度收缩肌纤维的百分比分别在疾病早期增加,在疾病晚期减少,而肌肉纤维化随着疾病进展而逐渐恶化。比较转录组学分析表明,与BMD患者相比,DMD患者的炎症反应明显激活,免疫组织化学分析证实了这一点。我们定制的生物信息学分析鉴定出MYH3、MYH8、IL17B、TNNT2、MYMK和TDO2基因组是与肌肉坏死和再生最相关的基因标志。肌肉定量逆转录聚合酶链反应分析证实,与对照组相比,DMD和BMD患者的IL17B和TNNT2 mRNA表达水平显著升高。肌肉IL17B mRNA表达与肌营养不良患者的组织学肌肉再生显著相关,与年龄负相关。单核rna测序和RNAscope原位杂交显示,IL17B mRNA在DMD和BMD患者的再生肌纤维以及各种获得性和遗传性肌病中表达。免疫荧光染色进一步证实白介素- 17b在DMD和BMD患者再生肌纤维中表达。我们的研究提供了白介素- 17b是肌营养不良症肌肉再生的新生物标志物的证据。
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来源期刊
Brain
Brain 医学-临床神经学
CiteScore
20.30
自引率
4.10%
发文量
458
审稿时长
3-6 weeks
期刊介绍: Brain, a journal focused on clinical neurology and translational neuroscience, has been publishing landmark papers since 1878. The journal aims to expand its scope by including studies that shed light on disease mechanisms and conducting innovative clinical trials for brain disorders. With a wide range of topics covered, the Editorial Board represents the international readership and diverse coverage of the journal. Accepted articles are promptly posted online, typically within a few weeks of acceptance. As of 2022, Brain holds an impressive impact factor of 14.5, according to the Journal Citation Reports.
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