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Nature cardiovascular research · 2022

Transcriptomic-based clustering of human atherosclerotic plaques identifies subgroups with different underlying biology and clinical presentation.

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Mokry Michal, Boltjes Arjan, Slenders Lotte, Bel-Bordes Gemma, Cui Kai, Brouwer Eli, Mekke Joost M, Depuydt Marie A C, Timmerman Nathalie, Waissi Farahnaz, Verwer Maarten C, Turner Adam W, Khan Mohammad Daud, Hodonsky Chani J, Benavente Ernest Diez, Hartman Robin J G, van den Dungen Noortje A M, Lansu Nico, Nagyova Emilia, Prange Koen H M, Kovacic Jason C, Björkegren Johan L M, Pavlos Eleftherios, Andreakos Evangelos, Schunkert Heribert, Owens Gary K, Monaco Claudia, Finn Aloke V, Virmani Renu, Leeper Nicholas J, de Winther Menno P J, Kuiper Johan, de Borst Gert J, Stroes Erik S G, Civelek Mete, de Kleijn Dominique P V, den Ruijter Hester M, Asselbergs Folkert W, van der Laan Sander W, Miller Clint L, Pasterkamp Gerard

Аннотация

Histopathological studies have revealed key processes of atherosclerotic plaque thrombosis. However, the diversity and complexity of lesion types highlight the need for improved sub-phenotyping. Here we analyze the gene expression profiles of 654 advanced human carotid plaques. The unsupervised, transcriptome-driven clustering revealed five dominant plaque types. These plaque phenotypes were associated with clinical presentation and showed differences in cellular compositions. Validation in coronary segments showed that the molecular signature of these plaques was linked to coronary ischemia. One of the plaque types with the most severe clinical symptoms pointed to both inflammatory and fibrotic cell lineages. Further, we did a preliminary analysis of potential circulating biomarkers that mark the different plaques phenotypes. In conclusion, the definition of the plaque at risk for a thrombotic event can be fine-tuned by in-depth transcriptomic-based phenotyping. These differential plaque phenotypes prove clinically relevant for both carotid and coronary artery plaques and point to distinct underlying biology of symptomatic lesions.

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

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