Survival after lung transplantation lags behind outcomes of other solid organ transplants, and complications from lung transplant are the second most common cause of death in cystic fibrosis. Evolving surgical techniques, therapeutics, and perioperative management have improved short-term survival after lung transplantation, yet have not translated into significant improvement in long-term mortality. Areas covered: We review risk factors for poor long-term outcomes among patients with cystic fibrosis undergoing lung transplantation to highlight areas for improvement. This includes reasons for organ dysfunction, complications of immunosuppression, further exacerbation of extrapulmonary complications of cystic fibrosis, and quality of life. A literature search was performed using PubMed-indexed journals. Expert commentary: There are multiple medical and socioeconomic barriers that threaten long-term survival following lung transplant for patients with cystic fibrosis. An understanding of the causes of each could elucidate treatment options. There is a lack of prospective, multicenter, randomized control trials due to cost, complexity, and feasibility. Ongoing prospective studies should be reserved for the most promising interventions identified in retrospective studies in order to improve long-term outcomes.
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http://dx.doi.org/10.1080/17476348.2018.1522254 | DOI Listing |
Front Mol Neurosci
December 2024
Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN, United States.
The 90 kDa Heat shock protein (Hsp90) is a family of ubiquitously expressed molecular chaperones responsible for the stabilization and maturation of >400 client proteins. Hsp90 exhibits dramatic conformational changes to accomplish this, which are regulated by partner proteins termed co-chaperones. One of these co-chaperones is called the activator or Hsp90 ATPase activity homolog 1 (Aha1) and is the most potent accelerator of Hsp90 ATPase activity.
View Article and Find Full Text PDFPharmacoepidemiol Drug Saf
January 2025
Mukoviszidose Institut gGmbH, Bonn, Germany.
The German Cystic Fibrosis (CF) Registry (GCFR) is a national General Data Protection Regulation-compliant centralised database sponsored by the German Cystic Fibrosis Association (Mukoviszidose e.V.) and based on informed consent for each participating patient, ethical approval, and data protection votes.
View Article and Find Full Text PDFNat Commun
January 2025
Replicate Bioscience Inc, San Diego, CA, USA.
Self-replicating RNA (srRNA) technology, in comparison to mRNA vaccines, has shown dose-sparing by approximately 10-fold and more durable immune responses. However, no improvements are observed in the adverse events profile. Here, we develop an srRNA vaccine platform with optimized non-coding regions and demonstrate immunogenicity and safety in preclinical and clinical development.
View Article and Find Full Text PDFGenes Immun
January 2025
Department of Medicine, Medical University of South Carolina, Charleston, SC, USA.
Immunoglobulin GM (γ marker) and KM (κ marker) allotypes-encoded by immunoglobulin heavy chain G (IGHG) and immunoglobulin κ constant (IGKC) genes-have been shown to be associated with immune responsiveness to a variety of self and nonself antigens. The aim of the present investigation was to determine whether allelic variation at the GM and KM loci was associated with antibody responsiveness to poly-N-acetyl-D-glucosamine (PNAG), a broadly-conserved surface polysaccharide expressed by many microbial pathogens. In addition, we wished to determine whether Fcγ receptor 2 A (FCGR2A) genotypes, which have been shown to be risk factors for some pathogens, also influenced antibody responses to PNAG.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Biomedical Informatics, Harvard Medical School, Boston, MA, 02115, USA.
Continuous glucose monitors (CGM) provide valuable insights about glycemic control that aid in diabetes management. However, interpreting metrics and charts and synthesizing them into linguistic summaries is often non-trivial for patients and providers. The advent of large language models (LLMs) has enabled real-time text generation and summarization of medical data.
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