Evidence map›Paper›PMID 41136544›Full record

ArticleCommunications medicine2025

Enhancing the diagnostic yield of monogenic diabetes in unresolved cases with early-onset hyperglycemia.

Pedro Campos Franco, Augusto Cezar Santomauro, Aline Dantas Costa-Riquetto, Lucas Santos de Santana, Larissa Garcia Gomes, Alexander Augusto de Lima Jorge, Milena Gurgel Teles

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Article in Communications medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Pedro Campos FrancoGrupo de Diabetes Monogênico (Monogenic Diabetes Group), Unidade de Endocrinologia Genética (LIM25), Unidade de Diabetes, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0003-4919-9869
Augusto Cezar SantomauroGrupo de Diabetes Monogênico (Monogenic Diabetes Group), Unidade de Endocrinologia Genética (LIM25), Unidade de Diabetes, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-8467-7195
Aline Dantas Costa-RiquettoGrupo de Diabetes Monogênico (Monogenic Diabetes Group), Unidade de Endocrinologia Genética (LIM25), Unidade de Diabetes, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil.
Lucas Santos de SantanaGrupo de Diabetes Monogênico (Monogenic Diabetes Group), Unidade de Endocrinologia Genética (LIM25), Unidade de Diabetes, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0003-0428-2386
Larissa Garcia GomesUnidade de Endocrinologia do Desenvolvimento, Laboratório de Hormônios e Genética Molecular (LIM42), Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil.
Alexander Augusto de Lima JorgeUnidade de Endocrinologia do Desenvolvimento, Laboratório de Hormônios e Genética Molecular (LIM42), Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil.
Milena Gurgel TelesGrupo de Diabetes Monogênico (Monogenic Diabetes Group), Unidade de Endocrinologia Genética (LIM25), Unidade de Diabetes, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil. milena.teles@gmail.com.ORCID http://orcid.org/0000-0002-0303-5335

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo improve the precision of molecular diagnosis by means of a comprehensive bidirectional phenotypic and genotypic reanalysis in cases of unresolved monogenic diabetes previously investigated using a targeted next-generation sequencing (tNGS) panel.

methodsMolecular and clinical data from 128 unresolved cases referred between 2011 and 2019 were analyzed. These included 92 cases of suspected maturity-onset diabetes of the young (MODY), 12 of neonatal diabetes, 16 of familial partial lipodystrophy (FPLD), 7 of mitochondrial diabetes, and 1 of Wolfram syndrome. All cases were initially investigated using a tNGS panel consisting of 51 nuclear genes and the complete mitochondrial genome.

resultsThis extensive reanalysis process increases molecular diagnosis from 9 to 22%. Phenotypic reevaluation, entailing in-depth phenotyping, is instrumental in excluding 62 atypical cases (48.4%). Genotypic reanalysis identifies 5 previously overlooked molecular defects: two mutations in regulatory regions (one in the HNF1A promoter and another in the PTF1A enhancer); one in the MTTK mitochondrial gene; one in the MFN2 gene; and one in the GCK gene.

conclusionsOur findings indicate that a combined approach of genotypic and, mainly, phenotypic reanalysis is an effective strategy for improving the accuracy of molecular diagnosis in individuals with suspected monogenic diabetes.

Identifiers

PMID41136544
PMCPMC12552679

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