Hami Hemati, Madison B Blanton, Jude Koura, Rupak Khadka, Kathleen A Grant, Ilhem Messaoudi
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引用次数: 0
Abstract
Chronic alcohol consumption (CAC) is associated with an enhanced risk of bone fracture, reduced bone density, and osteoporosis. Previous studies, using a rhesus macaque model of voluntary ethanol consumption, have shown that CAC induces functional, transcriptomic, and epigenomic changes in hematopoietic stem and progenitor cells (HSPCs) and their resultant monocytes/macrophages, skewing them toward a hyper-inflammatory response. Here, those studies were extended to investigate alterations in osteoclasts development, which, in postnatal life, differentiate from HSPCs and play a critical role in maintaining bone homeostasis. Analysis using spectral flow cytometry revealed a skewing of HSPCs towards granulocyte-monocyte progenitors (GMPs) within the CAC group, concordant with an increased number of colony-forming unit-granulocyte/macrophage (CFU-GM) colonies. Additionally, HSPCs from animals in the CAC group incubated with M-CSF (macrophage colony-stimulating factor) and RANKL (Receptor Activator of Nuclear factor-κB Ligand) were more likely to differentiate into osteoclasts, as evidenced by increased Tartrate-Resistant Acid Phosphatase (TRAP) staining and bone resorption activity. Moreover, single-cell RNA sequencing (scRNA-seq) of differentiated HSPCs identified osteoclast-related clusters in the CAC group with enhanced gene expression in pathways associated with cellular response to stimuli, membrane trafficking, and vesicle-mediated transport. Collectively, these data show that CAC enhances the capacity of HSPCs to differentiate into osteoclast precursors. These findings provide critical insights into the mechanisms by which alcohol consumption contributes to reduced bone density.
期刊介绍:
The American Journal of Pathology, official journal of the American Society for Investigative Pathology, published by Elsevier, Inc., seeks high-quality original research reports, reviews, and commentaries related to the molecular and cellular basis of disease. The editors will consider basic, translational, and clinical investigations that directly address mechanisms of pathogenesis or provide a foundation for future mechanistic inquiries. Examples of such foundational investigations include data mining, identification of biomarkers, molecular pathology, and discovery research. Foundational studies that incorporate deep learning and artificial intelligence are also welcome. High priority is given to studies of human disease and relevant experimental models using molecular, cellular, and organismal approaches.