Identifying the Right Diagnosis of Diabetes in Death: Unlocking A Key to Understanding Type 1 Diabetes Pathogenesis.

IF 16.6
Diabetes care Pub Date : 2026-07-22 DOI:10.2337/dci26-0020
Laura M Jacobsen, Martha Campbell-Thompson, Clive Wasserfall, Mark A Atkinson, Desmond A Schatz
{"title":"Identifying the Right Diagnosis of Diabetes in Death: Unlocking A Key to Understanding Type 1 Diabetes Pathogenesis.","authors":"Laura M Jacobsen, Martha Campbell-Thompson, Clive Wasserfall, Mark A Atkinson, Desmond A Schatz","doi":"10.2337/dci26-0020","DOIUrl":null,"url":null,"abstract":"<p><p>Accurate classification of diabetes into type 1, type 2, or monogenic forms remains a major challenge. This difficulty arises from overlapping clinical features and substantial heterogeneity within these conditions, particularly in adults, due to nonconforming presentations such as obesity coexisting with autoimmunity. Consequently, misclassification is common and can contribute to suboptimal therapeutic decisions, delayed achievement of glycemic targets, and increased risk of long-term complications. Growing evidence supports a spectrum-based view of diabetes pathophysiology rather than rigid categorical definitions, highlighting the need for improved biomarkers and a deeper mechanistic understanding of disease processes. To address this knowledge gap, over the past two decades we have conducted studies of human pancreata obtained through the Network for Pancreatic Organ donors with Diabetes (nPOD) and related programs, enabling in situ investigation of disease pathogenesis. Insights derived from such tissues and their biological relevance are based on limited clinical data at the time of terminal hospitalization. Challenges with postmortem diabetes classification have led to the creation of classification pathways that include not only clinical variables but also histopathology and genetics. For example, including the presence of insulin-negative islets and insulitic lesions on histopathology and clinical features such as C-peptide loss and increased type 1 diabetes genetic risk score, over clinical history alone, supports a more holistic diagnosis of type 1 diabetes, which may include atypical forms of diabetes. Continued integration of organ donor-based research with comprehensive clinical data is essential to refine classification systems, improve diagnostic accuracy, and advance personalized approaches to diabetes care.</p>","PeriodicalId":93979,"journal":{"name":"Diabetes care","volume":" ","pages":""},"PeriodicalIF":16.6000,"publicationDate":"2026-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Diabetes care","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2337/dci26-0020","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Accurate classification of diabetes into type 1, type 2, or monogenic forms remains a major challenge. This difficulty arises from overlapping clinical features and substantial heterogeneity within these conditions, particularly in adults, due to nonconforming presentations such as obesity coexisting with autoimmunity. Consequently, misclassification is common and can contribute to suboptimal therapeutic decisions, delayed achievement of glycemic targets, and increased risk of long-term complications. Growing evidence supports a spectrum-based view of diabetes pathophysiology rather than rigid categorical definitions, highlighting the need for improved biomarkers and a deeper mechanistic understanding of disease processes. To address this knowledge gap, over the past two decades we have conducted studies of human pancreata obtained through the Network for Pancreatic Organ donors with Diabetes (nPOD) and related programs, enabling in situ investigation of disease pathogenesis. Insights derived from such tissues and their biological relevance are based on limited clinical data at the time of terminal hospitalization. Challenges with postmortem diabetes classification have led to the creation of classification pathways that include not only clinical variables but also histopathology and genetics. For example, including the presence of insulin-negative islets and insulitic lesions on histopathology and clinical features such as C-peptide loss and increased type 1 diabetes genetic risk score, over clinical history alone, supports a more holistic diagnosis of type 1 diabetes, which may include atypical forms of diabetes. Continued integration of organ donor-based research with comprehensive clinical data is essential to refine classification systems, improve diagnostic accuracy, and advance personalized approaches to diabetes care.

确定死亡中糖尿病的正确诊断:解开了解1型糖尿病发病机制的关键。
将糖尿病准确分类为1型、2型或单基因型仍然是一个重大挑战。这一困难来自于这些疾病的重叠临床特征和巨大的异质性,特别是在成人中,由于不符合标准的表现,如肥胖与自身免疫并存。因此,错误分类是常见的,并可能导致不理想的治疗决策,延迟实现血糖目标,并增加长期并发症的风险。越来越多的证据支持基于谱的糖尿病病理生理学观点,而不是严格的分类定义,强调需要改进生物标志物和对疾病过程的更深层次的机制理解。为了解决这一知识缺口,在过去的二十年中,我们通过糖尿病胰腺器官供体网络(nPOD)和相关项目对人类胰腺进行了研究,使疾病发病机制的原位调查成为可能。从这些组织中获得的见解及其生物学相关性是基于临终住院时有限的临床数据。死后糖尿病分类的挑战导致了分类途径的创建,不仅包括临床变量,还包括组织病理学和遗传学。例如,包括胰岛素阴性胰岛的存在和胰岛素病变的组织病理学和临床特征,如c肽丢失和1型糖尿病遗传风险评分增加,仅通过临床病史,支持更全面的1型糖尿病诊断,其中可能包括非典型糖尿病。将基于器官供体的研究与全面的临床数据持续整合,对于完善分类系统、提高诊断准确性和推进糖尿病个性化治疗至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
29.50
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书