Division of Diabetes, Endocrinology and Metabolism, Baylor College of Medicine, Houston, Texas 77030, USA; email:
Annu Rev Med. 2021 Jan 27;72:63-74. doi: 10.1146/annurev-med-050219-034524. Epub 2020 Oct 16.
An etiologically based classification of diabetes is needed to account for the heterogeneity of type 1 and type 2 diabetes (T1D and T2D) and emerging forms of diabetes worldwide. It may be productive for both classification and clinical discovery to consider variant forms of diabetes as a spectrum. Maturity onset diabetes of youth and neonatal diabetes serve as models for etiologically defined, rare forms of diabetes in the spectrum. Ketosis-prone diabetes is a model for more complex forms, amenable to phenotypic dissection. Bioinformatic approaches such as clustering analyses of large datasets and multi-omics investigations of rare and atypical phenotypes are promising avenues to explore and define new subgroups of diabetes.
需要一种基于病因的糖尿病分类方法,以解释 1 型和 2 型糖尿病(T1D 和 T2D)以及全球新兴形式的糖尿病的异质性。将糖尿病的变异形式视为一个谱系,这对于分类和临床发现可能都是富有成效的。青少年起病的成年型糖尿病和新生儿糖尿病为谱系中病因明确的罕见糖尿病形式提供了模型。易发生酮症的糖尿病是更复杂形式的模型,适合表型剖析。生物信息学方法,如对大型数据集的聚类分析和对罕见和非典型表型的多组学研究,是探索和定义新的糖尿病亚组的有前途的途径。