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Assessing platelet-derived extracellular vesicles for potential as therapeutic targets in cardiovascular diseases.
Expert Opin Ther Targets
January 2025
Department of Biochemistry, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, the Netherlands.
Introduction: Cardiovascular disease (CVD) is the leading cause of death worldwide. Platelet-derived extracellular vesicles (PEV) have attracted extensive attention in cardiovascular disease research in recent years because their cargo is involved in a variety of pathophysiological processes, such as thrombosis, immune response, promotion or inhibition of inflammatory response, promotion of angiogenesis as well as cell proliferation and migration.
Areas Covered: This review explores the role of PEV in various cardiovascular diseases (such as atherosclerosis, myocardial infarction, ischemia-reperfusion injury, and heart failure), with relation to its molecular cargo (nucleic acids, bioactive lipids, proteins) and aims to provide new insights in the pathophysiologic role of PEV, and methods for preventing and treating cardiovascular diseases based on PEV.
A Study on Endometrial Polyps Recurrence Post-Hysteroscopic Resection: Identification of Influencing Factors and Development of a Predictive Model.
Ann Ital Chir
January 2025
Department of Obstetrics and Gynecology, Center for Reproductive Medicine, The Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, 322000 Yiwu, Zhejiang, China.
Aim: This study aimed to explore influencing factors and develop a predictive model of endometrial polyps (EP) recurrence after hysteroscopic resection.
Methods: This retrospective study included 180 patients who underwent hysteroscopic resection for EP between January 2021 to December 2023. The patients were divided into a modeling group (n = 135) and a validation group (n = 45) in a 3:1 ratio.
PD-L1 positive platelets mediate resistance to immune checkpoint inhibitors in patients with colorectal cancer.
Cell Commun Signal
January 2025
Digestive Disease Center, The First Affiliated Hospital of Jiamusi University, Jiamusi, Heilongjiang Province, 154000, China.
Background: Programmed cell death ligand 1 (PD-L1) expression on immune cells is correlated with the efficacy of immune checkpoint inhibitor (ICI) therapy in various types of cancer. Platelets are important components of the tumour microenvironment (TME) and are widely involved in the development of many types of cancer including colorectal cancer (CRC). However, the role of PD-L1 positive platelets in ICI therapy for CRC remains unknown.
View Article and Find Full Text PDFEffects of adipose allograft matrix on viability of humeral head cartilage and rotator cuff tendon.
BMC Musculoskelet Disord
January 2025
Department of Clinical Sciences, College of Veterinary Medicine, Columbus, OH, USA.
Background: Rotator cuff repairs may fail because of compromised blood supply, suture anchor pullout, or poor fixation to bone. To augment the repairs and promote healing of the tears, orthobiologics, such a platelet-rich plasma (PRP), and biologic scaffolds have been applied with mixed results. Adipose allograft matrix (AAM), which recruits native cells to damaged tissues, may also be a potential treatment for rotator cuff tears.
View Article and Find Full Text PDFThe efficacy of platelet-derived extracellular vesicles in the treatment of diabetic wounds: a systematic review and meta-analysis of animal studies.
Arch Dermatol Res
January 2025
Department of Transfusion, The Affiliated Hospital of Southwest Medical University, Sichuan, 646000, Luzhou, People's Republic of China.
Platelet-derived extracellular vesicles (PEVs) are rich in growth factors and have significant potential for facilitating tissue repair and regeneration. Therefore, we conducted this meta-analysis to assess the efficacy of PEVs in treating diabetic wounds. To assess the efficacy and safety of PEVs in treating diabetic wounds, we conducted a systematic review of several databases and performed a meta-analysis using a random effects model.
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