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Aims: Maturity Onset Diabetes of the Young (MODY) is a monogenic form of diabetes with autosomal dominant inheritance pattern. The diagnosis of MODY and its subtypes is based on genetic testing. Our aim was investigating MODY by means of next-generation sequencing in the Tunisian population.
Methods: We performed a targeted sequencing of 27 genes known to cause monogenic diabetes in 11 phenotypically suspected Tunisian patients. We retained genetic variants passing filters of frequency in public databases as well as their probable effects on protein structures and functions evaluated by bioinformatics prediction tools.
Results: Five heterozygous variants were found in four patients. They include two mutations in HNF1A and GCK that are the causative genes of the two most prevalent MODY subtypes described in the literature. Other possible mutations, including novel frameshift and splice-site variants were identified in ABCC8 gene.
Conclusions: Our study is the first to investigate the clinical application of targeted next-generation sequencing for the diagnosis of MODY in Africa. The combination of this approach with a filtering/prioritization strategy made a step towards the identification of MODY mutations in the Tunisian population.
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http://dx.doi.org/10.1007/s00592-018-01283-5 | DOI Listing |
J Assist Reprod Genet
September 2025
Division of Reproductive and Developmental Sciences, Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, OR, USA.
Purpose: To determine if melatonin-enriched culture media could offset loss of imprinting in mouse concepti.
Methods: Zygotes were cultured to blastocyst stage under optimized conditions in melatonin-supplemented media at either 10 M (MT 10) or 10 M (MT 10), or without supplementation (Culture + embryo transfer, or ET, positive control). Blastocysts were also developed in vivo (ET negative control).
J Cancer Res Clin Oncol
September 2025
Division of Gastroenterology, Department of Medicine, Asahikawa Medical University, Asahikawa, Japan.
Purpose: Next-generation sequencing (NGS) has revolutionized cancer treatment by enabling comprehensive cancer genomic profiling (CGP) to guide genotype-directed therapies. While several prospective trials have demonstrated varying outcomes with CGP in patients with advanced solid tumors, its clinical utility in colorectal cancer (CRC) remains to be evaluated.
Methods: We conducted a prospective observational study of CGP in our hospital between September 2019 and March 2024.
Virchows Arch
September 2025
Department of Public Health, University Federico II of Naples, Naples, Italy.
The PTEN tumor suppressor regulates the PIK3CA/AKT1 pathway, and its inactivation significantly contributes to tumorigenesis and progression in hormone receptor-positive/HER2-negative (HR + /HER2 -) metastatic breast cancer (MBC). In ~ 5% of these patients, PTEN loss, primarily due to gene deletions, leads to aberrant PI3K signaling and enhanced oncogenic potential. Findings from the CAPItello-291 study further establish PTEN together with PIK3CA and AKT1 as a predictive biomarker for Capivasertib, a pan-AKT inhibitor, in these patients.
View Article and Find Full Text PDFNature
September 2025
Department of Laboratory Medicine and Pathology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada.
Cancer-associated muscle wasting is associated with poor clinical outcomes, but its underlying biology is largely uncharted in humans. Unbiased analysis of the RNAome (coding and non-coding RNAs) with unsupervised clustering using integrative non-negative matrix factorization provides a means of identifying distinct molecular subtypes and was applied here to muscle of patients with colorectal or pancreatic cancer. Rectus abdominis biopsies from 84 patients were profiled using high-throughput next-generation sequencing.
View Article and Find Full Text PDFSci Justice
September 2025
School of Life Sciences, University of KwaZulu-Natal, Private Bag X54001, Westville, Durban 4000, South Africa. Electronic address:
A compound marker integrates two or more genetic markers into a single assay. The application of compound markers enhances the predictive accuracy of genetic testing by leveraging the strengths of different genetic variations while mitigating the limitations of individual markers. Compound markers include SNP-SNPs, SNP-STRs, DIP-SNPs, DIP-STRs, Multi-In/Dels, CpG-SNPs, CpG-STRs/CpG-In/Del, and Methylation-Microhaplotypes.
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