Diabetes mellitus: The pathophysiology as a canvas for management elucidation and strategies

Q3 Medicine
Franklyn Nonso Iheagwam , Olawumi Toyin Iheagwam
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引用次数: 0

Abstract

Diabetes mellitus (DM) is a progressive metabolic disease characterised by high blood glucose due to autoimmune destruction of the β-islet of Langerhans or gradual development of insulin resistance and β-cell degeneration. Numerous risk factors, from genetic to environmental, are associated with this disease. Based on the global observed cases and etiopathogenesis, DM falls into three broad categories: type 1, 2, and gestational diabetes mellitus. A comprehensive search was used to identify relevant publications using targeted keywords associated with DM, pathophysiology, medication, characterised compounds, and others across prominent databases like PubMed, Scopus, and Web of Science. This review examines how DM pathophysiology influences the type of diagnosis, screening, treatment, and management regimen that is implemented. The link between DM and some mechanistic factors and activated glucose metabolic changes is discussed. Insights on the medications targeting various DM pathophysiology mechanisms, antidiabetic mechanisms of characterised compounds from natural products and computer-aided identification of antidiabetics from natural sources are reviewed. These findings could lay the groundwork for inventive therapeutic strategies and leads from natural products based on the proper elucidation of antidiabetic mechanisms, thereby improving management and the impact of DM.
糖尿病:病理生理学作为管理阐明和策略的画布
糖尿病(DM)是一种进行性代谢性疾病,其特征是由于自身免疫破坏朗格汉斯β-胰岛或逐渐发展为胰岛素抵抗和β细胞变性而导致高血糖。许多危险因素,从遗传到环境,都与这种疾病有关。根据全球观察到的病例和发病机制,糖尿病分为三大类:1型、2型和妊娠期糖尿病。使用与糖尿病、病理生理学、药物、特征化合物等相关的目标关键词,在PubMed、Scopus和Web of Science等知名数据库中进行全面搜索,以确定相关出版物。这篇综述探讨了糖尿病病理生理如何影响诊断、筛查、治疗和管理方案的类型。讨论了糖尿病与一些机制因素和活化的葡萄糖代谢变化之间的联系。本文综述了针对各种糖尿病病理生理机制的药物,天然产物中特征化合物的抗糖尿病机制以及天然来源的抗糖尿病药物的计算机辅助鉴定。这些发现可以在正确阐明抗糖尿病机制的基础上,为创新治疗策略和从天然产物中获得线索奠定基础,从而改善糖尿病的管理和影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Medicine in Novel Technology and Devices
Medicine in Novel Technology and Devices Medicine-Medicine (miscellaneous)
CiteScore
3.00
自引率
0.00%
发文量
74
审稿时长
64 days
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