ArticleEndocrine2019
A decision algorithm to identify patients with high probability of monogenic diabetes due to HNF1A mutations.
Article in Endocrine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Insights from basic adjunctive examinations of GCK-MODY, HNF1A-MODY, and type 2 diabetes: A systemic review and meta-analysis.Journal of diabetes · 2023Pooled it
- Monogenic diabetes: An evidence-based clinical approach.World journal of diabetes · 2025Review
- Decoding MODY: exploring genetic roots and clinical pathways.Diabetology international · 2025Review
- Identification of appropriate biochemical parameters and cut points to detect Maturity Onset Diabetes of Young (MODY) in Asian Indians in a clinic setting.Scientific reports · 2023Article
- Maturity Onset Diabetes of the Young-New Approaches for Disease Modelling.International journal of molecular sciences · 2021Review
- Discoveries from the study of longstanding type 1 diabetes.Diabetologia · 2021Review
- Update on clinical screening of maturity-onset diabetes of the young (MODY).Diabetology & metabolic syndrome · 2020Review
- Biomarkers: Tools for Discriminating MODY from Other Diabetic Subtypes.Indian journal of endocrinology and metabolismReview
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Authors and funding
11 authors at 1 institution in 1 country.
Funding
Abstract
purposeTo investigate the utility of biomarkers of maturity-onset diabetes of the young (MODY), high-sensitivity C-reactive protein (hsCRP), and 1,5-anhydroglucitol (1,5-AG) in conjunction with other clinical and laboratory features to improve diagnostic accuracy and provide a diagnostic algorithm for HNF1A MODY.
methodsWe examined 77 patients with HNF1A MODY, 88 with GCK MODY mutations, 99 with type 1 diabetes, and 92 with type 2 diabetes. In addition to 1,5-AG and hsCRP, we considered body mass index (BMI), fasting glucose, and fasting serum C-peptide as potential biomarkers. Logistic regression and receiver operating characteristic curves were used in marker evaluation.
resultsConcentration of hsCRP was lowest in HNF1A MODY (0.51 mg/l) and highest in type 2 diabetes (1.33 mg/l). The level of 1,5-AG was lowest in type 1 diabetes and HNF1A MODY, 3.8 and 4.7 μg/ml, respectively, and highest (11.2 μg/ml) in GCK MODY. In the diagnostic algorithm, we first excluded patients with type 1 diabetes based on low C-peptide (C-statistic 0.98) before using high BMI and C-peptide to identify type 2 diabetes patients (C-statistic 0.92). Finally, 1,5-AG and hsCRP in conjunction yielded a C-statistic of 0.86 in discriminating HNF1A from GCK MODY. We correctly classified 92.9% of patients with type 1 diabetes, 84.8% with type 2 diabetes, 64.9% HNF1A MODY, and 52.3% GCK MODY patients.
conclusionsPlasma 1,5-AG and serum hsCRP do not discriminate sufficiently HNF1A MODY from common diabetes types, but could be potentially useful in prioritizing Sanger sequencing of HNF1A gene.
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