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Background: The most severe forms of congenital hyperinsulinism (CHI) are caused by inactivating mutations of two KATP channel genes, KCNJ11 and ABCC8. Unresponsiveness to diazoxide and need for subtotal pancreatectomy can usually be predicted by genetic form, particularly biallelic mutations in KATP channel genes. A few reports indicated marked clinical heterogeneity in siblings with identical biallelic mutations in ABCC8. The clinical heterogeneity in biallelic KATP CHI was speculated to be caused by epigenetic and environmental factors or related to differences in splicing factor machinery.
Objective: To elucidate the clinical pathophysiology, especially heterogeneity, among three cases with CHI caused by a homogenous novel mutation.
Patients And Methods: We report a case series that includes two siblings and one unrelated individual with CHI caused by a homogenous 1-bp deletion around the splice acceptor site at the exon 35 mutation of ABCC8, which exhibited markedly distinct phenotypes. To assess the effect of the mutation on splicing, we performed digital droplet polymerase chain reaction (ddPCR) on normal pancreas tissue and a patient's lymphocytes.
Results: ddPCR of ABCC8 cDNA revealed that expression of exon 35 and its upstream and downstream regions did not differ. These data suggested that clinical heterogeneity may not be caused by differences in splicing factor machinery.
Conclusion: The phenotypic variation in homozygotes could not be explained by splicing abnormalities. Though early genetic diagnosis of KATP CHI could contribute to selecting appropriate therapeutic options, more deliberate selection of therapeutic options in diffuse CHI due to biallelic ABCC8 mutations may be required.
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http://dx.doi.org/10.1111/cen.14443 | DOI Listing |
Neuro Oncol
September 2025
Department of Radiation Oncology, Mayo Clinic, Rochester, MN, USA.
Background: Disruption of the blood-brain barrier (BBB) in high-grade brain tumors is characterized by contrast accumulation on diagnostic imaging. This window of opportunity study correlates contrast imaging features with the tumor distribution of BBB-permeable (levetiracetam) and -impermeable (cefazolin) drugs.
Methods: Patients with a clinical diagnosis of a high-grade brain tumor underwent MRI for surgical planning.
Zhong Nan Da Xue Xue Bao Yi Xue Ban
May 2025
Department of Geriatric Pulmonary and Critical Care Medicine, Xiangya Hospital, Central South University; National Clinical Research Center for Geriatric Disorders (Xiangya Hospital), Changsha 410008.
Objectives: Non-small cell lung cancer (NSCLC) is associated with poor prognosis, with 30% of patients diagnosed at an advanced stage. Mutations in the and genes are important prognostic factors for NSCLC, and targeted therapies can significantly improve survival in these patients. Although tissue biopsy remains the gold standard for detecting gene mutations, it has limitations, including invasiveness, sampling errors due to tumor heterogeneity, and poor reproducibility.
View Article and Find Full Text PDFGut Liver
September 2025
Department of Internal Medicine, Chonnam National University Medical School, Gwangju, Korea.
Background/aims: Ampullary adenomas are precancerous lesions requiring accurate diagnosis and timely intervention to prevent malignant transformation. Endoscopic papillectomy (EP) has emerged as a less invasive alternative to surgery; however, technical variations in practice remain. This study evaluated contemporary real-world approaches to the diagnosis, treatment, and surveillance of ampullary adenomas among pancreatobiliary endoscopists.
View Article and Find Full Text PDFBiotechniques
September 2025
Woman, Mother + Baby Research Institute, Tufts Medicine, Boston, MA, USA.
MicroRNAs (miRNAs) are considered more stable than mRNA, but the impact of progressive thawing of biological samples after freezing as may happen during shipping delays has not been quantified. To address this, we utilized digital PCR to estimate the absolute concentrations of select miRNAs following progressive thawing of human plasma and maintenance at ambient temperature. Specifically, we quantified let-7b-3p, miR-144-5p, miR-150-5p, miR-517a-3p, miR-524-5p, and miR-1283, which have varying abundance in plasma.
View Article and Find Full Text PDFProteomics Clin Appl
September 2025
AIBioMed Research Group, Taipei Medical University, Taipei, Taiwan.
Background: Endometrial carcinoma (EC) represents a significant clinical challenge due to its pronounced molecular heterogeneity, directly influencing prognosis and therapeutic responses. Accurate classification of molecular subtypes (CNV-high, CNV-low, MSI-H, POLE) and precise tumor mutational burden (TMB) assessment is crucial for guiding personalized therapeutic interventions. Integrating proteomics data with advanced machine learning (ML) techniques offers a promising strategy for achieving precise, clinically actionable classification and biomarker discovery in EC.
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