探索性多组学分析揭示了与银屑病皮肤疾病严重程度相关的宿主-微生物相互作用。

IF 9.7 1区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL EBioMedicine Pub Date : 2024-07-01 Epub Date: 2024-06-25 DOI:10.1016/j.ebiom.2024.105222
Ying Yang, Peter Olah, Zoltan Radai, Guilherme Maia, Alexander Salava, Ville Salo, Jonathan Barker, Antti Lauerma, Björn Andersson, Bernhard Homey, Nanna Fyhrquist, Harri Alenius
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Skin microbiota samples and biopsies were collected from both lesional and non-lesional skin areas on the lower back. Weighted Gene Correlation Network Analysis (WGCNA) was employed for co-expression network analysis, and cell deconvolution was conducted to estimate cell fractions. Taxonomic and functional features of the microbiome were identified using whole metagenomic shotgun sequencing. Association between host genes and microbes was analyzed using Spearman correlation.</p><p><strong>Findings: </strong>Host anti-viral responses and interferon-related networks were identified and correlated with the severity of psoriasis. The skin microbiome showed a greater prevalence of Corynebacterium simulans in the PASI severe-moderate groups, which correlated with interferon-induced host genes. Two distinct psoriatic clusters with varying disease severities were identified. 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引用次数: 0

摘要

背景:银屑病(Psoriasis,Pso)是一种慢性炎症性皮肤病,给患者带来生理和心理上的双重挑战。皮肤微生物组的菌群失调与银屑病有关联,但目前仍缺乏对宿主与微生物相互作用的全面多组学分析。为了填补这一空白,我们采用了将整个元基因组枪式测序与皮肤转录组学相结合的综合方法,进行了一项探索性研究:这是一项横断面研究,研究对象包括斑块型银屑病(Pso)成年患者和健康志愿者。研究人员从背部下方的皮损区和非皮损区采集了皮肤微生物群样本和活组织切片。采用加权基因相关网络分析(WGCNA)进行共表达网络分析,并进行细胞解卷积以估计细胞分数。利用整个元基因组枪式测序确定了微生物组的分类和功能特征。利用斯皮尔曼相关性分析了宿主基因与微生物之间的关联:研究结果:发现了宿主抗病毒反应和干扰素相关网络,它们与银屑病的严重程度相关。皮肤微生物组显示,在 PASI 重度-中度组中,拟杆菌(Corynebacterium simulans)的流行率更高,这与干扰素诱导的宿主基因相关。研究还发现了两个病情严重程度不同的银屑病群。细胞凋亡相关抗菌肽(AMPs)和微生物有氧呼吸 I 通路的表达差异可能是造成这些疾病严重程度差异的部分原因:我们的多组学分析首次揭示了与银屑病严重程度相关的抗病毒反应和拟杆菌的存在。我们的多组学分析首次揭示了与银屑病严重程度相关的抗病毒反应和C. simulans的存在,还发现了两种具有不同AMP和代谢途径表达的银屑病亚型。我们的研究为了解银屑病中宿主与微生物的相互作用提供了新的视角,并为制定针对亚型的策略管理这种慢性皮肤病奠定了基础:该研究得到了 FP7(MAARS-Grant 261366)和创新药物倡议 2 联合项目(JU)的资助,资助协议号为 821511(BIOMAP)。该联合企业得到了欧盟地平线 2020 研究与创新计划和欧洲药物开发协会的支持。本出版物仅反映作者的观点,联合大学不对任何使用其中信息的行为负责。GAM获得了CAPES-PRINT提供的奖学金支持,CAPES由巴西政府机构Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES资助。作者感谢所有参与研究的患者。
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Exploratory multi-omics analysis reveals host-microbe interactions associated with disease severity in psoriatic skin.

Background: Psoriasis (Pso) is a chronic inflammatory skin disease that poses both physical and psychological challenges. Dysbiosis of the skin microbiome has been implicated in Pso, yet a comprehensive multi-omics analysis of host-microbe interactions is still lacking. To bridge this gap, we conducted an exploratory study by adopting the integrated approach that combines whole metagenomic shotgun sequencing with skin transcriptomics.

Methods: This was a cross-sectional study, adult patients with plaque-type Psoriasis (Pso) and healthy volunteers were included. Skin microbiota samples and biopsies were collected from both lesional and non-lesional skin areas on the lower back. Weighted Gene Correlation Network Analysis (WGCNA) was employed for co-expression network analysis, and cell deconvolution was conducted to estimate cell fractions. Taxonomic and functional features of the microbiome were identified using whole metagenomic shotgun sequencing. Association between host genes and microbes was analyzed using Spearman correlation.

Findings: Host anti-viral responses and interferon-related networks were identified and correlated with the severity of psoriasis. The skin microbiome showed a greater prevalence of Corynebacterium simulans in the PASI severe-moderate groups, which correlated with interferon-induced host genes. Two distinct psoriatic clusters with varying disease severities were identified. Variations in the expression of cell apoptosis-associated antimicrobial peptides (AMPs) and microbial aerobic respiration I pathway may partly account for these differences in disease severity.

Interpretation: Our multi-omics analysis revealed for the first time anti-viral responses and the presence of C. simulans associated with psoriasis severity. It also identified two psoriatic subtypes with distinct AMP and metabolic pathway expression. Our study provides new insights into understanding the host-microbe interaction in psoriasis and lays the groundwork for developing subtype-specific strategies for managing this chronic skin disease.

Funding: The research has received funding from the FP7 (MAARS-Grant 261366) and the Innovative Medicines Initiative 2 Joint Undertaking (JU) under grant agreement No 821511 (BIOMAP). The JU receives support from the European Union's Horizon 2020 research and innovation programme and EFPIA. This publication reflects only the author's view and the JU is not responsible for any use that may be made of the information it contains. GAM was supported by a scholarship provided by CAPES-PRINT, financed by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES (Brazilian Government Agency). The authors thank all patients who participated in our study.

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来源期刊
EBioMedicine
EBioMedicine Biochemistry, Genetics and Molecular Biology-General Biochemistry,Genetics and Molecular Biology
CiteScore
17.70
自引率
0.90%
发文量
579
审稿时长
5 weeks
期刊介绍: eBioMedicine is a comprehensive biomedical research journal that covers a wide range of studies that are relevant to human health. Our focus is on original research that explores the fundamental factors influencing human health and disease, including the discovery of new therapeutic targets and treatments, the identification of biomarkers and diagnostic tools, and the investigation and modification of disease pathways and mechanisms. We welcome studies from any biomedical discipline that contribute to our understanding of disease and aim to improve human health.
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