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Pekayvaz, K.* ; Losert, C. ; Knottenberg, V.* ; Gold, C.* ; van Blokland, I.V.* ; Oelen, R.* ; Groot, H.E.* ; Benjamins, J.W.* ; Brambs, S.* ; Kaiser, R.* ; Gottschlich, A.* ; Hoffmann, G.V.* ; Eivers, L.* ; Martinez-Navarro, A.* ; Bruns, N.* ; Stiller, S.* ; Akgöl, S.* ; Yue, K.* ; Polewka, V.* ; Escaig, R.* ; Joppich, M.* ; Janjic, A.* ; Popp, O.* ; Kobold, S. ; Petzold, T.* ; Zimmer, R.* ; Enard, W.* ; Saar, K.* ; Mertins, P.* ; Huebner, N.* ; van der Harst, P.* ; Franke, L.H.* ; van der Wijst, M.G.P.* ; Massberg, S.* ; Heinig, M. ; Nicolai, L.* ; Stark, K.*

Multiomic analyses uncover immunological signatures in acute and chronic coronary syndromes.

Nat. Med. 30, 1696-1710 (2024)
Verlagsversion DOI PMC
Open Access Hybrid
Creative Commons Lizenzvertrag
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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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Cells; Alpha
Sprache englisch
Veröffentlichungsjahr 2024
HGF-Berichtsjahr 2024
ISSN (print) / ISBN 1078-8956
e-ISSN 1546-170X
Zeitschrift Nature medicine
Quellenangaben Band: 30, Heft: 6, Seiten: 1696-1710 Artikelnummer: , Supplement: ,
Verlag Nature Publishing Group
Verlagsort New York, NY
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Computational Biology (ICB)
Unit for Clinical Pharmacology (KKG-EKLiP)
POF Topic(s) 30205 - Bioengineering and Digital Health
30203 - Molecular Targets and Therapies
Forschungsfeld(er) Enabling and Novel Technologies
Immune Response and Infection
PSP-Element(e) G-553500-001
G-503800-001
G-522100-001
Förderungen Chan Zuckerberg Foundation
German Cancer Aid
Else Kroner-Fresenius-Stiftung
European Union
Melanoma Research Alliance
International doctoral program 'i-Target: immunotargeting of cancer' - Elite Network of Bavaria
TANGO
Bavarian Cancer Research Center (BZKF)
German Centre for Cardiovascular Research (DZHK)
ERC
Corona Foundation
DFG
Deutsche Forschungsgemeinschaft (DFG)
Deutsche Herzstiftung e.V.
DZHK partner site project
Wilhelm-Sander-Stiftung
Ernst Jung Stiftung
ERC Advanced Grant under the European Union
Zuckerberg Foundation
Helmholtz Association
Forderprogramm fur Forschung und Lehre (FoeFoLe) of LMU Munich
Bavarian Research Foundation
Ernst und Berta Grimmke Stiftung
Hector Foundation
Fritz-Bender Foundation
PoC
European Research Council
Bundesministerium fur Bildung und Forschung
Bavarian Ministry for Economical Affairs
Institutional Strategy LMUexcellent of LMU Munich
Deutsche Forschungsgemeinschaft (German Research Foundation)
DOI 10.1038/s41591-024-02953-4
WOS ID 001228800400001
Scopus ID 85193714873
PubMed ID 38773340
Erfassungsdatum 2024-06-14
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