Larijani Bagher, Goodarzi Parisa, Payab Moloud, Alavi-Moghadam Sepideh, Rahim Fakher, Bana Nikoo, Abedi Mina, Arabi Maryam, Adibi Hossein, Gilany Kambiz, Arjmand Babak
Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical sciences, Tehran, Iran.
Brain and Spinal Cord Injury Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran.
Int J Mol Cell Med. 2019 Winter;8(Suppl1):41-48. doi: 10.22088/IJMCM.BUMS.8.2.41. Epub 2019 May 30.
Diabetes with a broad spectrum of complications has become a global epidemic metabolic disorder. Till now, several pharmaceutical and non-pharmaceutical therapeutic approaches were applied for its treatment. Cell-based therapies have become promising methods for diabetes treatment. Better understanding of diabetes pathogenesis and identification of its specific biomarkers along with evaluation of different treatments efficacy, can be possible by clarification of specific metabolic modifications during the diabetes progression. Subsequently, metabolomics technology can support this goal as an effective tool. The present review tried to show how metabolomics quantifications can be useful for diabetic monitoring before and after cell therapy. Cell therapy is an alternative approach to achieve diabetes treatments goals including insulin resistance amelioration, insulin independence reparation, and control of glycemia. OMICs approaches provide a comprehensive insight into the molecular mechanisms of cells features and functional mechanism of their genomics, transcriptomics, proteomics, and metabolomics profile which can be useful for their therapeutic application. As a modern technology for the detection and analysis of metabolites in biological samples, metabolomica can identify many of the metabolic and molecular pathways associated with diabetes and its following complications.
伴有广泛并发症的糖尿病已成为一种全球性的流行性代谢紊乱疾病。到目前为止，人们应用了多种药物和非药物治疗方法来治疗糖尿病。基于细胞的疗法已成为治疗糖尿病的有前景的方法。通过阐明糖尿病进展过程中的特定代谢改变，有可能更好地理解糖尿病发病机制、识别其特定生物标志物以及评估不同治疗方法的疗效。随后，代谢组学技术作为一种有效工具可以支持这一目标。本综述试图展示代谢组学定量分析如何有助于细胞治疗前后的糖尿病监测。细胞疗法是实现糖尿病治疗目标的一种替代方法，这些目标包括改善胰岛素抵抗、修复胰岛素独立性以及控制血糖。组学方法能全面洞察细胞特征的分子机制及其基因组学、转录组学、蛋白质组学和代谢组学图谱的功能机制，这对其治疗应用可能是有用的。作为一种用于检测和分析生物样品中代谢物的现代技术，代谢组学可以识别许多与糖尿病及其后续并发症相关的代谢和分子途径。
