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New evidence of cross-disease communication between heart and liver.
J Hepatol
December 2024
Oxford Centre for Diabetes Endocrinology and Metabolism (OCDEM), Churchill Hospital, Radcliffe Department of Medicine, University of Oxford, UK; Translational Gastroenterology and Liver Unit (TGLU), Nuffield Department of Medicine, John Radcliffe Hospital, University of Oxford, UK. Electronic address:
Cross-disease modeling of peripheral blood identifies biomarkers of type 2 diabetes predictive of Alzheimer's disease.
bioRxiv
December 2024
Center for Global Health & Diseases, Department of Pathology, School of Medicine, Case Western Reserve University School of Medicine, Cleveland, OH, USA.
Type 2 diabetes (T2D) is a significant risk factor for Alzheimer's disease (AD). Despite multiple studies reporting this connection, the mechanism by which T2D exacerbates AD is poorly understood. It is challenging to design studies that address co-occurring and comorbid diseases, limiting the number of existing evidence bases.
View Article and Find Full Text PDFSpecification of variant interpretation guidelines for inherited retinal dystrophy in Japan.
Jpn J Ophthalmol
July 2024
Department of Ophthalmology, Faculty of Medicine, University of Miyazaki, Miyazaki, 889-1692, Japan.
Accurate interpretation of sequence variants in inherited retinal dystrophy (IRD) is vital given the significant genetic heterogeneity observed in this disorder. To achieve consistent and accurate diagnoses, establishment of standardized guidelines for variant interpretation is essential. The American College of Medical Genetics and Genomics/Association for Molecular Pathology (ACMG/AMP) guidelines for variant interpretation serve as the global "cross-disease" standard for classifying variants in Mendelian hereditary disorders.
View Article and Find Full Text PDFPooled Cohort Profile: ReCoDID Consortium's Harmonized Acute Febrile Illness Arbovirus Meta-Cohort.
JMIR Public Health Surveill
July 2024
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Infectious disease (ID) cohorts are key to advancing public health surveillance, public policies, and pandemic responses. Unfortunately, ID cohorts often lack funding to store and share clinical-epidemiological (CE) data and high-dimensional laboratory (HDL) data long term, which is evident when the link between these data elements is not kept up to date. This becomes particularly apparent when smaller cohorts fail to successfully address the initial scientific objectives due to limited case numbers, which also limits the potential to pool these studies to monitor long-term cross-disease interactions within and across populations.
View Article and Find Full Text PDFCross-disease spillover from research funding: Evidence from four diseases.
Soc Sci Med
May 2024
Department of Science Technology, Engineering & Public Policy (STEaPP), University College London, London, UK.
There is widespread appreciation for the role of research in addressing health problems. However, there is limited evidence on the extent to which research can be targeted to specific diseases. Analyses highlighting a concentration of research funding towards certain diseases have prompted growing scrutiny over the allocation of research funding.
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