Jiang Qing, Hu Yun, Ma Jian-Hua
Department of Endocrinology, The Affiliated Geriatric Hospital of Nanjing Medical University, Nanjing 210000, Jiangsu Province, China.
Department of Endocrinology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi 214000, Jiangsu Province, China.
World J Diabetes. 2025 May 15;16(5):103316. doi: 10.4239/wjd.v16.i5.103316.
In the era of precision medicine, the classification of diabetes mellitus has evolved beyond the traditional categories. Various classification methods now account for a multitude of factors, including variations in specific genes, type of β-cell impairment, degree of insulin resistance, and clinical characteristics of metabolic profiles. Improved classification methods enable healthcare providers to formulate blood glucose management strategies more precisely. Applying these updated classification systems, will assist clinicians in further optimising treatment plans, including targeted drug therapies, personalized dietary advice, and specific exercise plans. Ultimately, this will facilitate stricter blood glucose control, minimize the risks of hypoglycaemia and hyperglycaemia, and reduce long-term complications associated with diabetes.
在精准医学时代，糖尿病的分类已超越传统类别。现在各种分类方法考虑了众多因素，包括特定基因的变异、β细胞损伤类型、胰岛素抵抗程度以及代谢谱的临床特征。改进的分类方法使医疗保健提供者能够更精确地制定血糖管理策略。应用这些更新的分类系统，将有助于临床医生进一步优化治疗方案，包括靶向药物治疗、个性化饮食建议和特定的运动计划。最终，这将有助于更严格地控制血糖，将低血糖和高血糖的风险降至最低，并减少与糖尿病相关的长期并发症。
