Chronic heart failure, caused by myocardial fibrosis after acute myocardial infarction (AMI), remains a serious clinical problem that needs urgent resolution. Nitro-oleic acid (OA-NO), an electrophilic nitro-fatty acid found in human plasma, is believed to regulate various pathophysiological functions, particularly anti-inflammation and anti-fibrosis. However, the role of OA-NO in AMI remains unexplored. Thus, our aim was to investigate whether OA-NO could ameliorate post-myocardial infarction fibrosis, improve cardiac function, and elucidate its mechanism in AMI mice. In vivo experiments involved constructing an AMI mice model and administering OA-NO via subcutaneous osmotic minipumps. Echocardiography and transmission electron microscope experiments indicated that OA-NO can alleviate myocardial injury and improve heart systolic function. Transcriptomics of cardiac tissue suggested that OA-NO improved myocardial fibrosis. Immunohistochemistry and qPCR results demonstrated OA-NO's reduction in the accumulation of extracellular matrix (Collagen I and Collagen III). In vitro experiments showed that OA-NO remarkably suppressed the activation of cardiac fibroblasts to myofibroblast transition induced by transforming growth factor-β (TGF-β). Furthermore, OA-NO inhibited the expression of α-SMA, collagen I, and collagen III via the TGF-β/smad2/3 signaling pathway. Immunofluorescence experiments and ELISA detection revealed that OA-NO not only alleviated myocardial fibrosis but also reduced myocardial inflammation and decreased inflammatory factors (TNF-α, IL-1β, IL-6, and MCP-1). Mechanistically, OA-NO significantly reduced the polarization of LPS-induced macrophages into M1-type macrophages by inhibiting the NF-κB (P65) related pathways. Therefore, OA-NO could ameliorate postmyocardial infarction fibrosis and improve cardiac function by inhibiting the activation of cardiac myofibroblasts and M1 macrophages.
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http://dx.doi.org/10.1016/j.intimp.2024.113710 | DOI Listing |
Cardiovasc Revasc Med
January 2025
Division of Cardiology, Department of Medicine, University of Texas Health Sciences Center, San Antonio, TX, USA.
Background: Pulmonary hypertension (pHTN) has been associated with increased morbidity and mortality after mitral Transcatheter Edge-to-Edge Repair (TEER), but the association remains uncertain. This study aims to evaluate the impact of pHTN on cardiovascular outcomes following TEER.
Methods: We searched PubMed, Scopus, and Medline to identify studies reporting outcomes after TEER in individuals with pHTN.
Clin Nutr
December 2024
Division of Cardiovascular Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Hyogo, Japan.
Background & Aims: In older patients undergoing cardiac surgery, physical function is a critical determinant of postoperative outcomes. Beta-hydroxy-beta-methylbutyrate (HMB) supplementation has been shown to promote muscle protein anabolism and inhibit catabolism, thereby preventing muscle weakness. However, its efficacy in older patients undergoing cardiac surgery remains unknown.
View Article and Find Full Text PDFJ Neurol Sci
December 2024
Emergency Department, Stroke Unit, Sapienza University of Rome, Rome, Italy. Electronic address:
Background And Aims: Iron deficiency (ID) is a prognostic factor in heart failure and acute coronary syndrome. However, its role in cerebrovascular diseases is controversial. We aimed to determine the impact of ID on the functional outcome of acute ischemic stroke patients.
View Article and Find Full Text PDFInt Immunopharmacol
January 2025
Department of Cardiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China; State Key Laboratory of Transvascular Implantation Devices, China; Heart Regeneration and Repair Key Laboratory of Zhejiang province, China; Binjiang Institute of Zhejiang University, Hangzhou 310053, China. Electronic address:
Med Image Anal
December 2024
Department of Electrical Engineering, Yale University, New Haven, CT, USA; Department of Biomedical Engineering, Yale University, New Haven, CT, USA. Electronic address:
Unsupervised domain adaptation (UDA) has shown impressive performance by improving the generalizability of the model to tackle the domain shift problem for cross-modality medical segmentation. However, most of the existing UDA approaches depend on high-quality image translation with diversity constraints to explicitly augment the potential data diversity, which is hard to ensure semantic consistency and capture domain-invariant representation. In this paper, free of image translation and diversity constraints, we propose a novel Style Mixup Enhanced Disentanglement Learning (SMEDL) for UDA medical image segmentation to further improve domain generalization and enhance domain-invariant learning ability.
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