1
|
Chen R, Zhang H, Tang B, Luo Y, Yang Y, Zhong X, Chen S, Xu X, Huang S, Liu C. Macrophages in cardiovascular diseases: molecular mechanisms and therapeutic targets. Signal Transduct Target Ther 2024; 9:130. [PMID: 38816371 PMCID: PMC11139930 DOI: 10.1038/s41392-024-01840-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Revised: 04/02/2024] [Accepted: 04/21/2024] [Indexed: 06/01/2024] Open
Abstract
The immune response holds a pivotal role in cardiovascular disease development. As multifunctional cells of the innate immune system, macrophages play an essential role in initial inflammatory response that occurs following cardiovascular injury, thereby inducing subsequent damage while also facilitating recovery. Meanwhile, the diverse phenotypes and phenotypic alterations of macrophages strongly associate with distinct types and severity of cardiovascular diseases, including coronary heart disease, valvular disease, myocarditis, cardiomyopathy, heart failure, atherosclerosis and aneurysm, which underscores the importance of investigating macrophage regulatory mechanisms within the context of specific diseases. Besides, recent strides in single-cell sequencing technologies have revealed macrophage heterogeneity, cell-cell interactions, and downstream mechanisms of therapeutic targets at a higher resolution, which brings new perspectives into macrophage-mediated mechanisms and potential therapeutic targets in cardiovascular diseases. Remarkably, myocardial fibrosis, a prevalent characteristic in most cardiac diseases, remains a formidable clinical challenge, necessitating a profound investigation into the impact of macrophages on myocardial fibrosis within the context of cardiac diseases. In this review, we systematically summarize the diverse phenotypic and functional plasticity of macrophages in regulatory mechanisms of cardiovascular diseases and unprecedented insights introduced by single-cell sequencing technologies, with a focus on different causes and characteristics of diseases, especially the relationship between inflammation and fibrosis in cardiac diseases (myocardial infarction, pressure overload, myocarditis, dilated cardiomyopathy, diabetic cardiomyopathy and cardiac aging) and the relationship between inflammation and vascular injury in vascular diseases (atherosclerosis and aneurysm). Finally, we also highlight the preclinical/clinical macrophage targeting strategies and translational implications.
Collapse
Affiliation(s)
- Runkai Chen
- Department of Cardiology, Laboratory of Heart Center, Heart Center, Translational Medicine Research Center, Zhujiang Hospital, Southern Medical University, 253 Industrial Avenue, Guangzhou, 510280, China
| | - Hongrui Zhang
- Department of Cardiology, Laboratory of Heart Center, Heart Center, Translational Medicine Research Center, Zhujiang Hospital, Southern Medical University, 253 Industrial Avenue, Guangzhou, 510280, China
| | - Botao Tang
- Department of Cardiology, Laboratory of Heart Center, Heart Center, Translational Medicine Research Center, Zhujiang Hospital, Southern Medical University, 253 Industrial Avenue, Guangzhou, 510280, China
| | - Yukun Luo
- Department of Cardiology, Laboratory of Heart Center, Heart Center, Translational Medicine Research Center, Zhujiang Hospital, Southern Medical University, 253 Industrial Avenue, Guangzhou, 510280, China
| | - Yufei Yang
- Department of Cardiology, Laboratory of Heart Center, Heart Center, Translational Medicine Research Center, Zhujiang Hospital, Southern Medical University, 253 Industrial Avenue, Guangzhou, 510280, China
| | - Xin Zhong
- Department of Cardiology, Laboratory of Heart Center, Heart Center, Translational Medicine Research Center, Zhujiang Hospital, Southern Medical University, 253 Industrial Avenue, Guangzhou, 510280, China
| | - Sifei Chen
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China
| | - Xinjie Xu
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China.
| | - Shengkang Huang
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China.
| | - Canzhao Liu
- Department of Cardiology, Laboratory of Heart Center, Heart Center, Translational Medicine Research Center, Zhujiang Hospital, Southern Medical University, 253 Industrial Avenue, Guangzhou, 510280, China.
| |
Collapse
|
2
|
Wang J, Seo JW, Kare AJ, Schneider M, Tumbale SK, Wu B, Raie MN, Pandrala M, Iagaru A, Brunsing RL, Charville GW, Park WG, Ferrara KW. Spatial transcriptomic analysis drives PET imaging of tight junction protein expression in pancreatic cancer theranostics. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.07.574209. [PMID: 38249519 PMCID: PMC10798647 DOI: 10.1101/2024.01.07.574209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/23/2024]
Abstract
We apply spatial transcriptomics and proteomics to select pancreatic cancer surface receptor targets for molecular imaging and theranostics using an approach that can be applied to many cancers. Selected cancer surfaceome epithelial markers were spatially correlated and provided specific cancer localization, whereas the spatial correlation between cancer markers and immune- cell or fibroblast markers was low. While molecular imaging of cancer-associated fibroblasts and integrins has been proposed for pancreatic cancer, our data point to the tight junction protein claudin-4 as a theranostic target. Claudin-4 expression increased ∼16 fold in cancer as compared with normal pancreas, and the tight junction localization conferred low background for imaging in normal tissue. We developed a peptide-based molecular imaging agent targeted to claudin-4 with accumulation to ∼25% injected activity per cc (IA/cc) in metastases and ∼18% IA/cc in tumors. Our work motivates a new approach for data-driven selection of molecular targets.
Collapse
|