RESUMEN
Ischemic stroke (IS) is a major cause of mortality and disability worldwide. However, the pathogenesis of IS remains unknown, and methods for early prediction and diagnosis of IS are lacking. Metabolomics can be applied to biomarker discovery and mechanism exploration of IS by exploring metabolic alterations. In this review, 62 IS metabolomics studies in the murine model published from January 2006 to December 2020 in the PubMed and Web of Science databases were systematically reviewed. Twenty metabolites (e.g., lysine, phenylalanine, methionine, tryptophan, leucine, lactate, serine, N-acetyl-aspartic acid, and glutathione) were reported consistently in more than two-third murine studies. The disturbance of metabolic pathways, such as arginine biosynthesis; alanine, aspartate and glutamate metabolism; aminoacyl-tRNA biosynthesis; and citrate cycle, may be implicated in the development of IS by influencing the biological processes such as energy failure, oxidative stress, apoptosis, and glutamate toxicity. The transient middle cerebral artery occlusion model and permanent middle cerebral artery occlusion model exhibit both common and distinct metabolic patterns. Furthermore, five metabolites (proline, serine, LysoPC (16:0), uric acid, glutamate) in the blood sample and 7 metabolic pathways (e.g., alanine, aspartate, and glutamate metabolism) are shared in animal and clinical studies. The potential biomarkers and related pathways of IS in the murine model may facilitate the biomarker discovery for early diagnosis of IS and the development of novel therapeutic targets.
Asunto(s)
Accidente Cerebrovascular Isquémico/diagnóstico , Metabolómica , Animales , Biomarcadores/metabolismo , Modelos Animales de Enfermedad , Humanos , Accidente Cerebrovascular Isquémico/metabolismo , RatonesRESUMEN
To explore the law and characteristics of adverse events of medical devices and to provide research methods and basis for reducing the recurrence of similar adverse events, we collect medical devices safety information from five representative countries in the world, and make statistics and analysis on the types of events, the types of management and the causes of events. The results show that among 136 serious adverse events, the top three causes of recall are product design factors, software factors, and component defects. In order to reduce the application risk of medical devices, it is suggested that product designers, operating users and medical institutions should correctly implement the monitoring and evaluation system of medical devices.