Publications by authors named "M A Greenblatt"
Skeletal Stem Cells: A Basis for Orthopaedic Pathology and Tissue Repair.
J Bone Joint Surg Am
December 2024
➢ Skeletal stem cells (SSCs) continually replenish mature cell populations to support skeletal homeostasis.➢ SSCs repopulate by self-renewal, have multilineage potential, and are long-lived in vivo.➢ SSCs express specific combinations of cell surface markers that reflect their lineage identity.
View Article and Find Full Text PDFBackground: The current murine models of peri-implant osseointegration failure are associated with wear particles. However, the current clinical osseointegration failure is not associated with wear particles. Here, we develop a murine model of osseointegration failure not associated with wear particles and validate it by comparing the cellular composition of interfacial tissues with human samples collected during total joint arthroplasty revision for aseptic loosening.
View Article and Find Full Text PDFWhere Minimal Incision Surgery Can Have Maximum Results with Charcot Reconstruction.
Clin Podiatr Med Surg
January 2025
Minimally invasive surgery (MIS) continues to develop as a viable alternative to traditional open surgery for various foot and ankle pathologies. The neuropathic foot is one area where MIS can be very beneficial to surgeons and their patients. Improving wound healing and decreasing the surgical footprint and thus reducing complications associated with soft tissue in this population is advantageous.
View Article and Find Full Text PDFArticle Synopsis
- - Pathogenic variants in the APC gene are responsible for familial adenomatous polyposis, the most common hereditary gastrointestinal polyposis syndrome, prompting the development of specific classification criteria to aid in variant interpretation.
- - The study involved applying these APC-specific criteria to assess over 10,000 unique APC variants from databases like ClinVar and LOVD, leading to a significant reclassification of variants of uncertain significance (VUSs), with many being reassessed as (likely) benign or (likely) pathogenic.
- - The results showed that using these tailored criteria effectively reduced VUSs by 37%, highlighted the potential for systematic variant classification in large datasets, and established a model that could benefit future genetic variant interpretation efforts in
Purpose: We previously developed an approach to calibrate computational tools for clinical variant classification, updating recommendations for the reliable use of variant impact predictors to provide evidence strength up to . A new generation of tools using distinctive approaches have since been released, and these methods must be independently calibrated for clinical application.
Method: Using our local posterior probability-based calibration and our established data set of ClinVar pathogenic and benign variants, we determined the strength of evidence provided by three new tools (AlphaMissense, ESM1b, VARITY) and calibrated scores meeting each evidence strength.