Primate Monocytes - CD14, CD16 - Ziegler-Heitbrock

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Monocyte Single-Cell Multimodal Profiling in Cardiovascular Disease Risk States.

Abstract

BACKGROUND: Monocytes are a critical innate immune system cell type that serves homeostatic and immunoregulatory functions. They have been identified historically by the cell surface expression of CD14 and CD16. However, recent single-cell studies have revealed that they are much more heterogeneous than previously realized. METHODS: We utilized cellular indexing of transcriptomes and epitopes by sequencing (cellular indexing of transcriptomes and epitopes by sequencing) and single-cell RNA sequencing to describe the comprehensive transcriptional and phenotypic landscape of 437 126 monocytes. RESULTS: This high-dimensional multimodal approach identified vast phenotypic diversity and functionally distinct subsets, including IFN-responsive, MHCIIhi, monocyte-platelet aggregates, as well as nonclassical, sand several subpopulations of classical monocytes. Using flow cytometry, we validated the existence of MHCII+CD275+ MHCIIhi, CD42b+ monocyte-platelet aggregates, CD16+CD99- nonclassical monocytes, and CD99+ classical monocytes. Each subpopulation exhibited unique characteristics, developmental trajectories, transcriptional regulation, and tissue distribution. In addition, alterations associated with cardiovascular disease risk factors, including race, smoking, and hyperlipidemia were identified. Moreover, the effect of hyperlipidemia was recapitulated in mouse models of elevated cholesterol. CONCLUSIONS: This integrative and cross-species comparative analysis provides a new perspective on the comparison of alterations in monocytes in pathological conditions and offers insights into monocyte-driven mechanisms in cardiovascular disease and the potential for monocyte subpopulation targeted therapies.

Authors: Bashore AC, Xue C, Kim E, Yan H, Zhu LY, Pan H, Kissner M, Ross LS, Zhang H, Li M, Reilly MP,
Journal: Circ Res;2024 Aug 30;135(6):685-700 doi:10.1161/CIRCRESAHA.124.324457
Year: 2024
PubMed: PMID: 39105287 (Go to PubMed)