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The role of microRNAs in pathophysiology and diagnostics of metabolic complications in obstructive sleep apnea patients.
Karuga, Filip Franciszek; Jaromirska, Julia; Malicki, Mikolaj; Sochal, Marcin; Szmyd, Bartosz; Bialasiewicz, Piotr; Strzelecki, Dominik; Gabryelska, Agata.
Afiliação
  • Karuga FF; Department of Sleep Medicine and Metabolic Disorders, Medical University of Lodz, Lodz, Poland.
  • Jaromirska J; Department of Sleep Medicine and Metabolic Disorders, Medical University of Lodz, Lodz, Poland.
  • Malicki M; Department of Sleep Medicine and Metabolic Disorders, Medical University of Lodz, Lodz, Poland.
  • Sochal M; Department of Sleep Medicine and Metabolic Disorders, Medical University of Lodz, Lodz, Poland.
  • Szmyd B; Department of Neurosurgery and Neuro-Oncology, Barlicki University Hospital, Medical University of Lodz, Lodz, Poland.
  • Bialasiewicz P; Department of Pediatrics, Oncology, and Hematology, Medical University of Lodz, Lodz, Poland.
  • Strzelecki D; Department of Sleep Medicine and Metabolic Disorders, Medical University of Lodz, Lodz, Poland.
  • Gabryelska A; Department of Affective and Psychotic Disorders, Medical University of Lodz, Lodz, Poland.
Front Mol Neurosci ; 16: 1208886, 2023.
Article em En | MEDLINE | ID: mdl-37547923
ABSTRACT
Obstructive sleep apnea (OSA) is one of the most common sleep disorders, which is characterized by recurrent apneas and/or hypopneas occurring during sleep due to upper airway obstruction. Among a variety of health consequences, OSA patients are particularly susceptible to developing metabolic complications, such as metabolic syndrome and diabetes mellitus type 2. MicroRNAs (miRNAs) as epigenetic modulators are promising particles in both understanding the pathophysiology of OSA and the prediction of OSA complications. This review describes the role of miRNAs in the development of OSA-associated metabolic complications. Moreover, it summarizes the usefulness of miRNAs as biomarkers in predicting the aforementioned OSA complications.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article