The December 2024 US Food and Drug Administration (FDA) approval of Mesoblast's Ryoncil (remestemcel-L-rknd)-allogeneic bone marrow mesenchymal stromal cell (MSC(M)) therapy-in pediatric acute steroid-refractory graft-versus-host-disease finally ended a long-lasting drought on approved MSC clinical products in the United States. While other jurisdictions-including Europe, Japan, India, and South Korea-have marketed autologous or allogeneic MSC products, the United States has lagged in its approval. The sponsor's significant efforts and investments, working closely with the FDA addressing concerns regarding clinical efficacy and consistent MSC potency through an iterative process that spanned several years, was rewarded with this landmark approval.
View Article and Find Full Text PDFImportance: Fracture-related infection (FRI) is a serious complication following fracture fixation surgery. Current treatment of FRIs entails debridement and 6 weeks of intravenous (IV) antibiotics. Lab data and retrospective clinical studies support use of oral antibiotics, which are less expensive and may have fewer complications than IV antibiotics.
View Article and Find Full Text PDFBackground: Bulbar function is frequently impaired in patients with spinal muscular atrophy (SMA). Although extremely important for the patient's quality of life, it is difficult to address therapeutically. Due to bulbar dysfunction, maximum mouth opening (MMO) is suspected to be reduced in children with SMA.
View Article and Find Full Text PDFDual activation of the TLR7 and TLR8 pathways leads to the production of type I interferon and proinflammatory cytokines, resulting in efficient antigen presentation by dendritic cells to promote T-cell priming and antitumor immunity. We developed a novel series of TLR7/8 dual agonists with varying ratios of TLR7 and TLR8 activity for use as payloads for an antibody-drug conjugate approach. The agonist-induced production of several cytokines in human whole blood confirmed their functional activity.
View Article and Find Full Text PDFIntroduction: Ventriculoperitoneal shunts (VPS) are an essential part of the treatment of hydrocephalus, with numerous valve models available with different ways of indicating pressure levels. The model types often need to be identified on X‑rays to assess pressure levels using a matching template. Artificial intelligence (AI), in particular deep learning, is ideally suited to automate repetitive tasks such as identifying different VPS valve models.
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