心臓発作の徴候:心臓発作における免疫応答をマッピングし、臨床的進行と相関する特徴を特定した。(Signatures of heart attack:Researchers have mapped the immune response in heart attacks and identified signatures that correlate with the clinical progression.)

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2024-05-21 ミュンヘン大学(LMU)

心筋梗塞後の患者の転帰を改善することは心臓病学の主要な課題の一つです。LMU大学病院、ヘルムホルツ・ミュンヘンなどの研究者たちは、心筋梗塞に対する免疫反応を詳細にマッピングし、臨床経過と相関する免疫署名を特定しました。この研究成果は「Nature Medicine」に発表されました。研究は、心筋梗塞後の免疫反応が心機能の回復に重要な役割を果たし、誤ったまたは過剰な免疫反応が回復を妨げることを示しています。MOFA技術を用いた解析により、異なる臨床経過に関連する免疫パターンが明らかになり、将来的に心筋梗塞患者の転帰予測に役立つ可能性があります。

<関連情報>

マルチオミクス解析により急性冠症候群と慢性冠症候群における免疫学的シグネチャーが明らかになった Multiomic analyses uncover immunological signatures in acute and chronic coronary syndromes

Kami Pekayvaz,Corinna Losert,Viktoria Knottenberg,Christoph Gold,Irene V. van Blokland,Roy Oelen,Hilde E. Groot,Jan Walter Benjamins,Sophia Brambs,Rainer Kaiser,Adrian Gottschlich,Gordon Victor Hoffmann,Luke Eivers,Alejandro Martinez-Navarro,Nils Bruns,Susanne Stiller,Sezer Akgöl,Keyang Yue,Vivien Polewka,Raphael Escaig,Markus Joppich,Aleksandar Janjic,Oliver Popp,Sebastian Kobold,… Konstantin Stark
Nature Medicine  Published:21 May 2024
DOI:https://doi.org/10.1038/s41591-024-02953-4

figure 1

Abstract

Acute and chronic coronary syndromes (ACS and CCS) are leading causes of mortality. Inflammation is considered a key pathogenic driver of these diseases, but the underlying immune states and their clinical implications remain poorly understood. Multiomic factor analysis (MOFA) allows unsupervised data exploration across multiple data types, identifying major axes of variation and associating these with underlying molecular processes. We hypothesized that applying MOFA to multiomic data obtained from blood might uncover hidden sources of variance and provide pathophysiological insights linked to clinical needs. Here we compile a longitudinal multiomic dataset of the systemic immune landscape in both ACS and CCS (n = 62 patients in total, n = 15 women and n = 47 men) and validate this in an external cohort (n = 55 patients in total, n = 11 women and n = 44 men). MOFA reveals multicellular immune signatures characterized by distinct monocyte, natural killer and T cell substates and immune-communication pathways that explain a large proportion of inter-patient variance. We also identify specific factors that reflect disease state or associate with treatment outcome in ACS as measured using left ventricular ejection fraction. Hence, this study provides proof-of-concept evidence for the ability of MOFA to uncover multicellular immune programs in cardiovascular disease, opening new directions for mechanistic, biomarker and therapeutic studies.

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