Suppr超能文献

在谱系/亚谱系水平上进行全基因组比较分析,揭示了基因型与临床表型之间的关系。

Whole-genome comparative analysis at the lineage/sublineage level discloses relationships between genotype and clinical phenotype.

作者信息

Negrete-Paz Andrea Monserrat, Vázquez-Marrufo Gerardo, Vázquez-Garcidueñas Ma Soledad

机构信息

Centro Multidisciplinario de Estudios en Biotecnología, Facultad de Medicina Veterinaria y Zootecnia, Universidad Michoacana de San Nicolás de Hidalgo, Tarímbaro, Michoacán, Mexico.

División de Estudios de Posgrado, Facultad de Ciencias Médicas y Biológicas "Dr. Ignacio Chávez", Universidad Michoacana de San Nicolás de Hidalgo, Morelia, Michoacán, Mexico.

出版信息

PeerJ. 2021 Sep 8;9:e12128. doi: 10.7717/peerj.12128. eCollection 2021.

Abstract

BACKGROUND

Human tuberculosis (TB) caused by members of the complex (MTBC) is the main cause of death among infectious diseases worldwide. Pulmonary TB (PTB) is the most common clinical phenotype of the disease, but some patients develop an extrapulmonary (EPTB) phenotype in which any organ or tissue can be affected. MTBC species include nine phylogenetic lineages, with some appearing globally and others being geographically restricted. EPTB can or not have pulmonary involvement, challenging its diagnosis when lungs are not implicated, thus causing an inadequate treatment. Finding evidence of a specific genetic background associated with EPTB is epidemiologically relevant due to the virulent and multidrug-resistant strains isolated from such cases. Until now, the studies conducted to establish associations between lineages and PTB/EPTB phenotypes have shown inconsistent results, which are attributed to the strain predominance from specific lineages/sublineages in the samples analyzed and the use of low-resolution phylogenetic tools that have impaired sublineage discrimination abilities. The present work elucidates the relationships between the MTBC strain lineages/sublineages and the clinical phenotypes of the disease as well as the antibiotic resistance of the strains.

METHODS

To avoid biases, we retrieved the raw genomic reads (RGRs) of all ( = 245) the strains worldwide causing EPTB available in databases and an equally representative sample of the RGRs ( = 245) of PTB strains. A multiple alignment was constructed, and a robust maximum likelihood phylogeny based on single-nucleotide polymorphisms was generated, allowing effective strain lineage/sublineage assignment.

RESULTS

A significant Odds Ratio (OR range: 1.8-8.1) association was found between EPTB and the 1.1.1, 1.2.1, 4.1.2.1 and ancestral Beijing sublineages. Additionally, a significant association between PTB with 4.3.1, 4.3.3, and 4.5 and Asian African 2 and Europe/Russia B0/W148 modern Beijing sublineages was found. We also observed a significant association of Lineage 3 strains with multidrug resistance (OR 3.8; 95% CI [1.1-13.6]), as well as between modern Beijing sublineages and antibiotic resistance (OR 4.3; 3.8-8.6). In this work, it was found that intralineage diversity can drive differences in the immune response that triggers the PTB/EPTB phenotype.

摘要

背景

由结核分枝杆菌复合群(MTBC)成员引起的人类结核病是全球传染病死亡的主要原因。肺结核(PTB)是该疾病最常见的临床表型,但一些患者会出现肺外(EPTB)表型,其中任何器官或组织都可能受到影响。MTBC物种包括九个系统发育谱系,有些在全球范围内出现,有些则受地理限制。EPTB可能有或没有肺部受累,当肺部未受累时,其诊断具有挑战性,从而导致治疗不足。由于从此类病例中分离出毒性强和耐多药的菌株,寻找与EPTB相关的特定遗传背景的证据在流行病学上具有相关性。到目前为止,为建立谱系与PTB/EPTB表型之间的关联而进行的研究结果不一致,这归因于分析样本中特定谱系/亚谱系的菌株优势以及使用了低分辨率的系统发育工具,这些工具损害了亚谱系的区分能力。本研究阐明了MTBC菌株谱系/亚谱系与疾病临床表型以及菌株抗生素耐药性之间的关系。

方法

为避免偏差,我们检索了数据库中全球所有(n = 245)导致EPTB的结核分枝杆菌菌株的原始基因组读数(RGRs)以及同样具有代表性的PTB菌株RGRs样本(n = 245)。构建了多序列比对,并基于单核苷酸多态性生成了稳健的最大似然系统发育树,从而能够有效地对菌株谱系/亚谱系进行分类。

结果

发现EPTB与1.1.1、1.2.1、4.1.2.1和祖传北京亚谱系之间存在显著的优势比(OR范围:1.8 - 8.1)关联。此外,还发现PTB与4.3.1、4.3.3和4.5以及亚洲非洲2和欧洲/俄罗斯B0/W148现代北京亚谱系之间存在显著关联。我们还观察到3型菌株与多药耐药性之间存在显著关联(OR 3.8;95% CI [1.1 - 13.6]),以及现代北京亚谱系与抗生素耐药性之间存在显著关联(OR 4.3;3.8 - 8.6)。在这项研究中,发现谱系内多样性可导致触发PTB/EPTB表型的免疫反应存在差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7cb/8434806/6fa6b40acf94/peerj-09-12128-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验