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Physiology and Pathophysiology of Marathon Running: A narrative Review.
Sports Med Open
January 2025
Institute of Primary Care, University of Zurich, Zurich, Switzerland.
Background: Marathon training and running have many beneficial effects on human health and physical fitness; however, they also pose risks. To date, no comprehensive review regarding both the benefits and risks of marathon running on different organ systems has been published.
Main Body: The aim of this review was to provide a comprehensive review of the benefits and risks of marathon training and racing on different organ systems.
Hotspots and global trends in research of host immune response in periodontitis: A bibliometric analysis.
J Periodontol
January 2025
Department of Stomatology, School of Dentistry, University of São Paulo, Av. Prof. Lineu Prestes, São Paulo, SP, Brazil.
Background: The host immune response plays a major role in the pathogenesis of periodontitis. A bibliometric study can be crucial to understanding the different processes involved in this area; however, to our knowledge, it has not been published until now. Therefore, a bibliometric analysis was conducted to assess research hotspots and global trends in scientific articles about the immune response in periodontitis published between 1952 and 2023.
View Article and Find Full Text PDFHOTAIR expression as a biomarker in glioblastoma multiforme: a comprehensive meta-analysis of current evidence.
Biomark Med
January 2025
Department of Clinical Biochemistry, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Purpose: Glioblastoma multiforme (GBM) is an aggressive brain tumor. This meta-analysis investigates the association between HOTAIR expression levels and GBM.
Methods: We searched the literature for studies on HOTAIR expression in GBM patients.
[Development of prognostic clinical and genetic models of the risk of low bone mineral density using neural network training].
Probl Endokrinol (Mosk)
January 2024
Background: Osteoporosis is a common age-related disease with disabling consequences, the early diagnosis of which is difficult due to its long and hidden course, which often leads to diagnosis only after a fracture. In this regard, great expectations are placed on advanced developments in machine learning technologies aimed at predicting osteoporosis at an early stage of development, including the use of large data sets containing information on genetic and clinical predictors of the disease. Nevertheless, the inclusion of DNA markers in prediction models is fraught with a number of difficulties due to the complex polygenic and heterogeneous nature of the disease.
View Article and Find Full Text PDFBackground: Insulinoma is a neuroendocrine tumor, the main manifestation of which is hypoglycemia. However, the symptoms of hypoglycemia can be non-specific for a long time, especially outside provocative conditions, and quite often the tumor manifests from a life-threatening condition - hypoglycemic coma. In this regard, timely laboratory diagnosis of insulinoma and determination of its aggressive course is one of the priorities in modern researches.
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