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Premature termination codon (PTC) mutations in the ATP-Binding Cassette, Sub-Family A, Member 7 gene (ABCA7) have recently been identified as intermediate-to-high penetrant risk factor for late-onset Alzheimer's disease (LOAD). High variability, however, is observed in downstream ABCA7 mRNA and protein expression, disease penetrance, and onset age, indicative of unknown modifying factors. Here, we investigated the prevalence and disease penetrance of ABCA7 PTC mutations in a large early onset AD (EOAD)-control cohort, and examined the effect on transcript level with comprehensive third-generation long-read sequencing. We characterized the ABCA7 coding sequence with next-generation sequencing in 928 EOAD patients and 980 matched control individuals. With MetaSKAT rare variant association analysis, we observed a fivefold enrichment (p = 0.0004) of PTC mutations in EOAD patients (3%) versus controls (0.6%). Ten novel PTC mutations were only observed in patients, and PTC mutation carriers in general had an increased familial AD load. In addition, we observed nominal risk reducing trends for three common coding variants. Seven PTC mutations were further analyzed using targeted long-read cDNA sequencing on an Oxford Nanopore MinION platform. PTC-containing transcripts for each investigated PTC mutation were observed at varying proportion (5-41% of the total read count), implying incomplete nonsense-mediated mRNA decay (NMD). Furthermore, we distinguished and phased several previously unknown alternative splicing events (up to 30% of transcripts). In conjunction with PTC mutations, several of these novel ABCA7 isoforms have the potential to rescue deleterious PTC effects. In conclusion, ABCA7 PTC mutations play a substantial role in EOAD, warranting genetic screening of ABCA7 in genetically unexplained patients. Long-read cDNA sequencing revealed both varying degrees of NMD and transcript-modifying events, which may influence ABCA7 dosage, disease severity, and may create opportunities for therapeutic interventions in AD.
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http://dx.doi.org/10.1007/s00401-017-1714-x | DOI Listing |
Biosens Bioelectron
September 2025
College of Chemistry, Jilin Province Research Center for Engineering and Technology of Spectral Analytical Instruments, Jilin University, Qianjin Street 2699, Changchun, 130012, China. Electronic address:
Papillary thyroid carcinoma (PTC) is the most prevalent form of thyroid cancer with a high incidence among endocrine malignancies. It tends to metastasize early in lymph nodes and differs markedly from other subtypes in biological behavior, clinical management, and prognosis. Therefore, accurately distinguishing PTC from other pathological subtypes is crucial for guiding diagnosis and treatment decisions.
View Article and Find Full Text PDFiScience
September 2025
Department of Developmental Neurosciences, Zayed Centre for Research into Rare Disease in Children, Great Ormond Street Institute of Child Health, University College London, London, UK.
Manganese (Mn) is an essential trace metal required for normal biological function, yet it also poses neurotoxic risks when dysregulated. Maintaining proper intracellular and extracellular Mn levels is critical, as Mn imbalance has been implicated in a spectrum of human diseases-including inherited Mn transport disorders, acquired manganism, and more prevalent neurodegenerative diseases such as Parkinson's and Alzheimer's disease. Despite these associations, the cellular mechanisms driving Mn-induced neuropathology remain poorly understood.
View Article and Find Full Text PDFFront Endocrinol (Lausanne)
September 2025
Department of Medical Ultrasound, Affiliated Hospital of Jiangsu University, Zhenjiang, China.
Background: Given the challenge in preoperative diagnosis of high-volume lymph node metastasis (HVLNM) in clinical practice, we constructed and externally validated a comprehensive predictive model that integrated conventional ultrasound characteristics, contrast-enhanced ultrasound (CEUS) parameters, BRAFmutation, and clinicopathological data for HVLNM in clinically lymph node-negative (cN0) papillary thyroid carcinoma (PTC).
Methods: Totally, 126 clinically lymph node-negative (cN0) PTC patients who underwent subtotal or total thyroidectomy and accompanied with prophylactic cervical lymph node dissection between December 2022 and December 2024 were enrolled in this retrospective study, and an additional 47 cN0 PTC patients included for the external validation cohort. Univariate and multivariate analysis were performed to identify the independent risk factors for HVLNM, and a binary logistic regression equation and relevant nomogram was constructed to predict the risk about HVLNM.
Brain Dev
September 2025
Department of Mental Retardation and Birth Defect Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry (NCNP), Japan.
Hypomyelinating leukodystrophies (HLDs) are a group of inherited disorders characterized by impaired myelin formation in the central nervous system. Among them, Pelizaeus-Merzbacher disease (PMD) is a well-defined X-linked leukodystrophy caused by mutations in the PLP1 gene, including duplications, missense variants, and null mutations. Recent studies have revealed that different types of PLP1 mutations lead to distinct pathomechanisms: while missense mutations induce endoplasmic reticulum stress and activate the unfolded protein response (UPR), PLP1 duplications cause aberrant intracellular trafficking and cholesterol accumulation without UPR activation.
View Article and Find Full Text PDFFront Endocrinol (Lausanne)
September 2025
Department of Ultrasonic Medicine, Nantong Tumor Hospital, Nantong, Jiangsu, China.
Objective: This study aims to develop an integrated model that combines radiomics, deep learning features, and clinical and ultrasound characteristics for predicting mutations in patients with papillary thyroid carcinoma (PTC) combined with Hashimoto's thyroiditis (HT).
Methods: This retrospective study included 717 thyroid nodules from 672 patients with PTC combined with HT from four hospitals in China. Deep learning and radiomics were employed to extract deep learning and radiomics features from ultrasound images.