Background: Congenital nemaline myopathies are rare pathologies characterised by muscle weakness and rod-shaped inclusions in the muscle fibres.
Methods: Using next-generation sequencing, we identified three patients with pathogenic variants in the () gene, coding for the troponin T (TNT) skeletal muscle isoform.
Results: The clinical phenotype was similar in all patients, associating hypotonia, orthopaedic deformities and progressive chronic respiratory failure, leading to early death. The anatomopathological phenotype was characterised by a disproportion in the muscle fibre size, endomysial fibrosis and nemaline rods. Molecular analyses of revealed a homozygous deletion of exons 8 and 9 in patient 1; a heterozygous nonsense mutation in exon 9 and retention of part of intron 4 in muscle transcripts in patient 2; and a homozygous, very early nonsense mutation in patient 3.Western blot analyses confirmed the absence of the TNT protein resulting from these mutations.
Discussion: The clinical and anatomopathological presentations of our patients reinforce the homogeneous character of the phenotype associated with recessive mutations. Previous studies revealed an impact of recessive variants on the tropomyosin-binding affinity of TNT. We report in our patients a complete loss of TNT protein due to open reading frame disruption or to post-translational degradation of TNT.
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http://dx.doi.org/10.1136/jmedgenet-2019-106714 | DOI Listing |
Pulmonology
December 2025
Laboratory of Experimental Therapeutics, LIM-20, Department of Clinical Medicine, School of Medicine, University of Sao Paulo, Sao Paulo, Brazil.
Background: Chronic obstructive pulmonary disease (COPD) induces an imbalance in T helper (Th) 17/regulatory T (Treg) cells that contributes to of the dysregulation of inflammation. Exercise training can modulate the immune response in healthy subjects.
Objective: We aimed to evaluate the effects of exercise training on Th17/Treg responses and the differentiation of Treg phenotypes in individuals with COPD.
Genet Epidemiol
January 2025
Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts, USA.
Large-scale gene-environment interaction (GxE) discovery efforts often involve analytical compromises for the sake of data harmonization and statistical power. Refinement of exposures, covariates, outcomes, and population subsets may be helpful to establish often-elusive replication and evaluate potential clinical utility. Here, we used additional datasets, an expanded set of statistical models, and interrogation of lipoprotein metabolism via nuclear magnetic resonance (NMR)-based lipoprotein subfractions to refine a previously discovered GxE modifying the relationship between physical activity (PA) and HDL-cholesterol (HDL-C).
View Article and Find Full Text PDFPostgrad Med J
January 2025
Department of Pediatric Metabolic Diseases, University of Health Sciences, Ankara Etlik City Hospital, Ankara 06170, Turkey.
Metabolism is the name given to all of the chemical reactions in the cell involving thousands of proteins, including enzymes, receptors, and transporters. Inborn errors of metabolism (IEM) are caused by defects in the production and breakdown of proteins, fats, and carbohydrates. Micro ribonucleic acids (miRNAs) are short non-coding RNA molecules, ⁓19-25 nucleotides long, hairpin-shaped, produced from DNA.
View Article and Find Full Text PDFHum Mol Genet
January 2025
Department of Reproductive Medicine, The First Affiliated Hospital of Henan University of CM, No. 19, Renmin Road, Jinshui District, Zhengzhou City, Henan Province, China.
This study systematically explores the oncogenic role of the long non-coding RNA (lncRNA) LINC00115 in endometrial cancer (EC) and reveals its unique mechanism in promoting proliferation, invasion, and metastasis via the JAK/STAT signaling pathway. LINC00115 is significantly upregulated in EC tissues and closely associated with advanced TNM staging and lymph node metastasis. Functional assays showed that knockdown of LINC00115 suppressed EC cell proliferation, invasion, and metastasis, while overexpression enhanced these malignant behaviors.
View Article and Find Full Text PDFFront Artif Intell
December 2024
Alimentary Tract Research Center, Clinical Sciences Research Institute, Imam Khomeini Hospital, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
One of the foremost causes of global healthcare burden is cancer of the gastrointestinal tract. The medical records, lab results, radiographs, endoscopic images, tissue samples, and medical histories of patients with gastrointestinal malignancies provide an enormous amount of medical data. There are encouraging signs that the advent of artificial intelligence could enhance the treatment of gastrointestinal issues with this data.
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