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Spatiotemperal Dynamics of Osteoarthritis: Bridging Insights from Bench to Bedside.
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Department of Orthopaedic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.
Osteoarthritis (OA) is a multifaceted degenerative joint disorder affected by various risk factors such as age, mechanical stress, inflammation, and metabolic influences. These elements contribute to its diverse phenotypes and endotypes, underscoring the disease's inherent complexity. The involvement of multiple tissues and their interplay further complicates OA's investigation.
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Washington University School of Medicine, Saint Louis, MO, USA.
Background: The recent European-ancestry based genome-wide association study (GWAS) of Alzheimer disease (AD) by Bellenguez2022 has identified 75 significant genetic loci, but only a few have been functionally mapped to effector gene level. Besides the large-scale RNA expression, protein and metabolite levels are key molecular traits bridging the genetic variants to AD risk, and thus we decided to integrate them into the genetic analysis to pinpoint key proteins and metabolites underlying AD etiology. Few studies have generated more than one layer of post-transcriptional phenotypes, limiting the scale of biological translation of disease modifying treatments.
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University of Pennsylvania, Philadelphia, PA, USA.
Background: Alzheimer's disease (AD), characterized by significant brain volume reduction, is influenced by genetic predispositions related to brain volumetric phenotypes. While genome-wide association studies (GWASs) have linked brain imaging-derived phenotypes (IDPs) with AD, existing polygenic risk scores (PRSs) based models inadequately capture this relationship. We develop BrainNetScore, a network-based model enhancing AD risk prediction by integrating genetic associations between multiple brain IDPs and AD incidence.
View Article and Find Full Text PDFBackground: Despite significant advancements in the development of blood biomarkers for AD, challenges persist due to the complex interplay of genetic and environmental risk factors in AD pathogenesis. Epigenetic processes, including non-coding RNAs and especially microRNAs (miRs), have emerged as important players in the molecular mechanisms underlying neurodegenerative diseases. MiRs have the ability to fine-tune gene expression and proteostasis, and microRNAome profiling in liquid biopsies is gaining increasing interest since changes in miR levels can indicate the presence of multiple pathologies.
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Salk Institute for Biological Studies, La Jolla, CA, USA.
Background: As humans age, some experience cognitive impairment while others do not. When impairment occurs, it varies in severity across individuals. Translationally relevant models are critical for understanding the neurobiological drivers of this variability, which is essential to uncovering the mechanisms underlying the brain's susceptibility to aging.
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