PMID- 37319368 OWN - NLM STAT- MEDLINE DCOM- 20231127 LR - 20231127 IS - 1945-7197 (Electronic) IS - 0021-972X (Linking) VI - 108 IP - 12 DP - 2023 Nov 17 TI - Type 2 Diabetes Family History as a Significant Index on the Clinical Heterogeneity Differentiation in Type 1 Diabetes. PG - e1633-e1641 LID - 10.1210/clinem/dgad363 [doi] AB - CONTEXT: Family history of type 2 diabetes (T2D) is an important but neglected parameter; however, its role in identifying the heterogeneity and subtypes of type 1 diabetes (T1D) remains unclear. OBJECTIVE: We investigated the effect of family history of T2D on the clinical phenotype of T1D patients and evaluated its value in T1D classification. METHODS: A total of 1410 T1D patients were enrolled in this prospective study. Information on family history of T2D in first-degree relatives (FDRs) was collected by research nurses using a semi-structured questionnaire as previously described. The effect of family history of T2D on clinical characteristics was evaluated in overall and subgroups of T1D patients stratified by islet autoantibodies, onset age, and human leukocyte antigen (HLA) genotype. Cluster analysis was performed to identify family history of T2D-related subgroups. RESULTS: A total of 10% (141/1410) of patients had at least 1 FDR diagnosed with T2D. A milder phenotype associated with family history of T2D was present in overall T1D patients, including older onset age (P < .001), higher body mass index (P < .001), higher fasting and postprandial C-peptide levels (all P < .01), lower positive rates of all islet autoantibodies, and susceptible HLA genotypes (all P < .05). Clinical heterogeneity associated with family history of T2D in the T1D subgroup stratified by autoimmunity, age of onset, and HLA genotypes was consistent. Using family history of T2D as a cluster variable, T1D patients were divided into 5 clusters, and patients in the T2D family history cluster displayed a milder phenotype than others. CONCLUSION: Family history of T2D should be considered as an important indicator for precise subclassification of T1D patients based on clinical heterogeneity. CI - (c) The Author(s) 2023. Published by Oxford University Press on behalf of the Endocrine Society. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. FAU - Wang, Qianrong AU - Wang Q AD - National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China. FAU - Chen, Yan AU - Chen Y AD - National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China. FAU - Xie, Yuting AU - Xie Y AD - National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China. FAU - Xia, Ying AU - Xia Y AD - National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China. FAU - Xie, Zhiguo AU - Xie Z AD - National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China. FAU - Huang, Gan AU - Huang G AD - National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China. FAU - Fan, Li AU - Fan L AD - National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China. FAU - Zhou, Zhiguang AU - Zhou Z AUID- ORCID: 0000-0002-0374-1838 AD - National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China. FAU - Li, Xia AU - Li X AUID- ORCID: 0000-0001-8665-7983 AD - National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China. LA - eng GR - 2022YFC2010102/National Key R&D Program of China/ GR - 2020RC4044/Science and Technology Innovation Program of Hunan Province/ GR - 82070812/National Natural Science Foundation of China/ GR - 2021JC0003/Natural Science Foundation of Hunan Province/ PT - Journal Article PL - United States TA - J Clin Endocrinol Metab JT - The Journal of clinical endocrinology and metabolism JID - 0375362 RN - 0 (Autoantibodies) RN - 0 (HLA Antigens) RN - 0 (Histocompatibility Antigens Class II) SB - IM MH - Humans MH - *Diabetes Mellitus, Type 1/diagnosis MH - *Diabetes Mellitus, Type 2/genetics MH - Prospective Studies MH - Autoantibodies MH - Autoimmunity MH - HLA Antigens MH - Histocompatibility Antigens Class II OTO - NOTNLM OT - cluster analysis OT - family history OT - heterogeneity OT - type 1 diabetes OT - type 2 diabetes EDAT- 2023/06/15 19:14 MHDA- 2023/11/27 12:44 CRDT- 2023/06/15 15:37 PHST- 2023/03/11 00:00 [received] PHST- 2023/11/27 12:44 [medline] PHST- 2023/06/15 19:14 [pubmed] PHST- 2023/06/15 15:37 [entrez] AID - 7199084 [pii] AID - 10.1210/clinem/dgad363 [doi] PST - ppublish SO - J Clin Endocrinol Metab. 2023 Nov 17;108(12):e1633-e1641. doi: 10.1210/clinem/dgad363.