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Postmortem tissue biomarkers of menopausal transition.
Tickerhoof, Maria; Cham, Heining; Ger, Anaya; Burrja, Sonola; Auluck, Pavan; Schmidt, Peter J; Marenco, Stefano; Kundakovic, Marija.
Afiliação
  • Tickerhoof M; Department of Biological Sciences, Fordham University, Bronx, NY, USA.
  • Cham H; Department of Psychology, Fordham University, Bronx, NY, USA.
  • Ger A; Department of Biological Sciences, Fordham University, Bronx, NY, USA.
  • Burrja S; Department of Biological Sciences, Fordham University, Bronx, NY, USA.
  • Auluck P; Human Brain Collection Core, National Institute of Mental Health-Intramural Research Program, Bethesda, MD, USA.
  • Schmidt PJ; Behavioral Endocrinology Branch, National Institute of Mental Health-Intramural Research Program, Bethesda, MD, USA.
  • Marenco S; Human Brain Collection Core, National Institute of Mental Health-Intramural Research Program, Bethesda, MD, USA.
  • Kundakovic M; Department of Biological Sciences, Fordham University, Bronx, NY, USA.
bioRxiv ; 2024 Jun 24.
Article em En | MEDLINE | ID: mdl-38979150
ABSTRACT
The menopausal transition (MT) is associated with an increased risk for many disorders including neurological and mental disorders. Brain imaging studies in living humans show changes in brain metabolism and structure that may contribute to the MT-associated brain disease risk. Although deficits in ovarian hormones have been implicated, cellular and molecular studies of the brain undergoing MT are currently lacking, mostly due to a difficulty in studying MT in postmortem human brain. To enable this research, we explored 39 candidate biomarkers for menopausal status in 42 pre-, peri-, and post-menopausal subjects across three postmortem tissues blood, the hypothalamus, and pituitary gland. We identified thirteen significant and seven strongest menopausal biomarkers across the three tissues. Using these biomarkers, we generated multi-tissue and tissue-specific composite measures that allow the postmortem identification of the menopausal status across different age ranges, including the "perimenopausal", 45-55-year-old group. Our findings enable the study of cellular and molecular mechanisms underlying increased neuropsychiatric risk during the MT, opening the path for hormone status-informed, precision medicine approach in women's mental health.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: BioRxiv Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: BioRxiv Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos