<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>69(2)</volume><submitter>Aniagyei W</submitter><funding>Universitätsklinikum Düsseldorf. Anstalt öffentlichen Rechts</funding><funding>Else Kröner-Fresenius Stiftung</funding><funding>Elterninitiative Kinderkrebsklinik e.V.</funding><pubmed_abstract>&lt;h4>Aims/hypothesis&lt;/h4>In sub-Saharan Africa, type 1 diabetes is typically diagnosed clinically, which can be challenging due to atypical diabetes presentations such as ketosis-prone type 2 diabetes or type 2 diabetes in the absence of overweight and obesity. C-peptide, a marker of residual insulin secretion capacity, is crucial for understanding these variations but understudied in the region. Here, we investigated whether C-peptide measurement and concomitant genetic, autoimmune and metabolic characterisation of individuals with clinically diagnosed type 1 diabetes confirm diabetes classification and highlight population-specific features.&lt;h4>Methods&lt;/h4>In this case-control study from Ghana, we recruited 266 individuals with clinically diagnosed and insulin-treated long-term type 1 dia</pubmed_abstract><journal>Diabetologia</journal><pagination>308-320</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12779725</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Heterogeneity in clinically diagnosed type 1 diabetes: characterising a unique cohort with maintained C-peptide secretion in Ghana.</pubmed_title><pmcid>PMC12779725</pmcid><pubmed_authors>Sarfo-Kantanka O</pubmed_authors><pubmed_authors>Boateng AO</pubmed_authors><pubmed_authors>Meissner T</pubmed_authors><pubmed_authors>Phillips RO</pubmed_authors><pubmed_authors>Asibey SO</pubmed_authors><pubmed_authors>Balz V</pubmed_authors><pubmed_authors>Sterzenbach M</pubmed_authors><pubmed_authors>Owusu DO</pubmed_authors><pubmed_authors>Adankwah E</pubmed_authors><pubmed_authors>Karusheva Y</pubmed_authors><pubmed_authors>Burkart V</pubmed_authors><pubmed_authors>Herebian D</pubmed_authors><pubmed_authors>Mayatepek E</pubmed_authors><pubmed_authors>Yeboah A</pubmed_authors><pubmed_authors>Huttasch M</pubmed_authors><pubmed_authors>Roden M</pubmed_authors><pubmed_authors>Jacobsen M</pubmed_authors><pubmed_authors>Kummer S</pubmed_authors><pubmed_authors>Arthur JF</pubmed_authors><pubmed_authors>Seyfarth J</pubmed_authors><pubmed_authors>Aniagyei W</pubmed_authors><pubmed_authors>Wagner R</pubmed_authors><pubmed_authors>Mohayideen S</pubmed_authors><pubmed_authors>Enczmann J</pubmed_authors><pubmed_authors>Owusu E</pubmed_authors><pubmed_authors>Vivekanandan MM</pubmed_authors><pubmed_authors>Ahor HS</pubmed_authors></additional><is_claimable>false</is_claimable><name>Heterogeneity in clinically diagnosed type 1 diabetes: characterising a unique cohort with maintained C-peptide secretion in Ghana.</name><description>&lt;h4>Aims/hypothesis&lt;/h4>In sub-Saharan Africa, type 1 diabetes is typically diagnosed clinically, which can be challenging due to atypical diabetes presentations such as ketosis-prone type 2 diabetes or type 2 diabetes in the absence of overweight and obesity. C-peptide, a marker of residual insulin secretion capacity, is crucial for understanding these variations but understudied in the region. Here, we investigated whether C-peptide measurement and concomitant genetic, autoimmune and metabolic characterisation of individuals with clinically diagnosed type 1 diabetes confirm diabetes classification and highlight population-specific features.&lt;h4>Methods&lt;/h4>In this case-control study from Ghana, we recruited 266 individuals with clinically diagnosed and insulin-treated long-term type 1 dia</description><dates><release>2026-01-01T00:00:00Z</release><publication>2026 Feb</publication><modification>2026-06-06T12:50:53.877Z</modification><creation>2026-05-30T03:11:40.846Z</creation></dates><accession>S-EPMC12779725</accession><cross_references><pubmed>41175199</pubmed><doi>10.1007/s00125-025-06576-3</doi></cross_references></HashMap>