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Novel drug targets and molecular mechanisms for sarcopenia based on systems biology
Centre for Host-Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London SE1 9RT, UK.
Department of Medical Biochemistry, Faculty of Medicine, Zonguldak Bulent Ecevit University, Zonguldak, Turkiye.
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Protein Science, Systems Biology. KTH, Centres, Science for Life Laboratory, SciLifeLab.
KTH, Centres, Science for Life Laboratory, SciLifeLab. KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Protein Science, Systems Biology.ORCID iD: 0000-0002-8301-9959
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2024 (English)In: Biomedicine and Pharmacotherapy, ISSN 0753-3322, E-ISSN 1950-6007, Vol. 176, article id 116920Article in journal (Refereed) Published
Abstract [en]

Sarcopenia is a major public health concern among older adults, leading to disabilities, falls, fractures, and mortality. This study aimed to elucidate the pathophysiological mechanisms of sarcopenia and identify potential therapeutic targets using systems biology approaches. RNA-seq data from muscle biopsies of 24 sarcopenic and 29 healthy individuals from a previous cohort were analysed. Differential expression, gene set enrichment, gene co-expression network, and topology analyses were conducted to identify target genes implicated in sarcopenia pathogenesis, resulting in the selection of 6 hub genes (PDHX, AGL, SEMA6C, CASQ1, MYORG, and CCDC69). A drug repurposing approach was then employed to identify new pharmacological treatment options for sarcopenia (clofibric-acid, troglitazone, withaferin-a, palbociclib, MG-132, bortezomib). Finally, validation experiments in muscle cell line (C2C12) revealed MG-132 and troglitazone as promising candidates for sarcopenia treatment. Our approach, based on systems biology and drug repositioning, provides insight into the molecular mechanisms of sarcopenia and offers potential new treatment options using existing drugs.

Place, publisher, year, edition, pages
Elsevier BV , 2024. Vol. 176, article id 116920
Keywords [en]
Co-expression network analysis, Differential expression analysis, Drug repurposing, Sarcopenia, System biology, Translational medicine
National Category
Geriatrics
Identifiers
URN: urn:nbn:se:kth:diva-348306DOI: 10.1016/j.biopha.2024.116920ISI: 001253736800001PubMedID: 38876054Scopus ID: 2-s2.0-85195638221OAI: oai:DiVA.org:kth-348306DiVA, id: diva2:1874678
Note

QC 20240624

Available from: 2024-06-20 Created: 2024-06-20 Last updated: 2024-07-05Bibliographically approved

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Kim, WoongheeLi, XiangyuAltay, ÖzlemZhang, ChengMardinoglu, Adil

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