Background: Wearables hold potential to improve chronic disease self-management in conditions like cystic fibrosis (CF) through remote monitoring, early detection of illness and motivation. Little is known about the acceptability and sustainability of integrating wearables into routine care from the perspectives of people with CF (pwCF) and their treating clinicians.
Methods: A cross-sectional qualitative study involving semi-structured interviews with adult pwCF and focus groups comprising members of a CF multidisciplinary team (MDT) were conducted at a specialist CF centre in Australia. A phenomenological orientation underpinned the study. Inductive thematic analysis was performed using the Framework method. The study adhered to the Consolidated Criteria for Reporting Qualitative Research (COREQ) checklist.
Results: Nine pwCF and eight members of a CF MDT, representing six clinical disciplines, participated in the study. Eight themes were inductively generated from the data, of which four were identified from each group. PwCF valued wearables for providing real-time data to motivate healthy behaviours and support shared goal-setting with healthcare providers. Wearables did not influence adherence to CF-specific self-management practices and had some hardware limitations. Members of the CF MDT recognised potential benefits of remote monitoring and shared goal-setting, but advised caution regarding data accuracy, generating patient anxiety in certain personality traits, and lack of evidence supporting use in CF self-management.
Conclusions: Perspectives on integrating wearables into CF care were cautiously optimistic, with emerging risks related to patient anxiety and lack of evidence moderating acceptance.
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http://dx.doi.org/10.1016/j.ijmedinf.2024.105532 | 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.
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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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