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Currently, autologous bone grafting represents the clinical gold standard in orthopaedic surgery. In certain cases, however, alternative techniques are required. The clinical utility of stem and stromal cells has been demonstrated for the repair and regeneration of craniomaxillofacial and long bone defects although clinical adoption of bone tissue engineering protocols has been very limited. Initial tissue engineering studies focused on the bone marrow as a source of cells for bone regeneration, and while a number of promising results continue to emerge, limitations to this technique have prompted the exploration of alternative cell sources, including adipose and muscle tissue. In this review paper we discuss the advantages and disadvantages of cell sources with a focus on adipose tissue and the bone marrow. Additionally, we highlight the relatively recent paradigm of developmental engineering, which promotes the recapitulation of naturally occurring developmental processes to allow the implant to optimally respond to endogenous cues. Finally we examine efforts to apply lessons from studies into different cell sources and developmental approaches to stimulate bone growth by use of decellularised hypertrophic cartilage templates.
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http://dx.doi.org/10.1155/2016/9352598 | DOI Listing |
Sci Adv
September 2025
Department of Cell & Molecular Biology, St. Jude Children's Research Hospital, Memphis, TN, USA.
Somatic mitochondrial DNA (mtDNA) mutations are frequently observed in tumors, yet their role in pediatric cancers remains poorly understood. The heteroplasmic nature of mtDNA-where mutant and wild-type mtDNA coexist-complicates efforts to define its contribution to disease progression. In this study, bulk whole-genome sequencing of 637 matched tumor-normal samples from the Pediatric Cancer Genome Project revealed an enrichment of functionally impactful mtDNA variants in specific pediatric leukemia subtypes.
View Article and Find Full Text PDFBioinformatics
September 2025
The Second Affiliated Hospital and School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Motivation: Drug repositioning presents a streamlined and cost-efficient way to expand the range of therapeutic possibilities. Drugs with human genetic evidence are more likely to advance successfully through clinical trials towards FDA approval. Single gene-based drug repositioning methods have been implemented, but approaches leveraging a broad spectrum of molecular signatures remain underexplored.
View Article and Find Full Text PDFPLoS Pathog
September 2025
National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China.
Neuroinflammation within the central nervous system (CNS) is recognized as a critical pathological process in meningitic Escherichia coli (E. coli) infection, leading to severe neurodegenerative disorders and long-term sequelae. Astrocyte reactivity plays a pivotal role in driving the neuroinflammatory cascade in response to pathological stimuli from peripheral sources or other cellular components of the CNS.
View Article and Find Full Text PDFTissue Eng Part B Rev
September 2025
The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China.
The reconstruction of critical-sized bone defects remains a challenging clinical problem. At present, the implantation of autogenous and allogeneic grafts is the main clinical treatment strategy but faces some drawbacks, such as inadequate source, donor site-related complications, and immune rejection, driving researchers to develop artificial bone substitutes based on distinct materials and fabrication technologies. Among the bone substitutes, bioceramic-based substitutes exhibit a remarkable biocompatibility, which can also be designed to degrade concomitantly with the formation of new bone.
View Article and Find Full Text PDFIEEE J Biomed Health Inform
September 2025
The tumor microenvironment is a dynamic eco system where cellular interactions drive cancer progression. However, inferring cell-cell communication from non-spatial scRNA-seq data remains challenging due to incomplete li gand-receptor databases and noisy cell type annotations. H ere, we propose scGraphDap, a graph neural network frame work that integrates functional state pseudo-labels and graph structure learning to improve both cell type annotation an d CCC inference.
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