G-protein-coupled receptors (GPCRs) participate in a broad range of physiological functions. A priority for fundamental and clinical research, therefore, is to decipher the function of over 140 remaining orphan GPCRs. The suprachiasmatic nucleus (SCN), the brain's circadian pacemaker, governs daily rhythms in behaviour and physiology. Here we launch the SCN orphan GPCR project to (i) search for murine orphan GPCRs with enriched expression in the SCN, (ii) generate mutant animals deficient in candidate GPCRs, and (iii) analyse the impact on circadian rhythms. We thereby identify Gpr176 as an SCN-enriched orphan GPCR that sets the pace of circadian behaviour. Gpr176 is expressed in a circadian manner by SCN neurons, and molecular characterization reveals that it represses cAMP signalling in an agonist-independent manner. Gpr176 acts independently of, and in parallel to, the Vipr2 GPCR, not through the canonical Gi, but via the unique G-protein subclass Gz.
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http://dx.doi.org/10.1038/ncomms10583 | DOI Listing |
Campbell Syst Rev
March 2025
Liverpool School of Tropical Medicine, International Public Health Liverpool UK.
This is the protocol for a Campbell systematic review. The objectives are as follows. The primary objective of this systematic review is to evaluate and synthesise both published and unpublished literature on the effectiveness of sexual and reproductive health blended learning approaches for capacity strengthening of healthcare practitioners in LMICs.
View Article and Find Full Text PDFBMC Res Notes
March 2025
Department of Surgery, Medical Research Institute, Alexandria University, Alexandria, Egypt.
Employing a mixed-methods approach, this study: (a) scoped the literature for desirable characteristics of online learning environments; (b) analyzed and compared the available online systematic review and meta-analysis (SR/MA) courses; and (c) proposed an outline for a model online systematic review SR/MA course that is aligned with PRISMA principles, and (d) charted learning outcomes, module contents, interactive elements, feedback and module assessment, and course evaluation of the proposed course. The findings highlight the many distinctive aspects and design of the proposed model course, including its comprehensiveness, alignment with PRISMA principles, self-pace and self-direction, with high interactivity levels, augmented by the expert trainer guidance ('human' factor), and individualized feedback, and its conclusion with the incorporation of the learners in virtual research teams undertaking real SR/MA. The proposed model course integrates principles of problem-based learning, where in addition to the provided resources (interactive assignments and video tutorials), trainees will be actively conducting their own real SR/MA as part of the course, while receiving expert feedback to enhance learning outcomes.
View Article and Find Full Text PDFTheor Appl Genet
February 2025
Institut de Génétique, Environnement et Protection des Plantes (IGEPP), INRAE, Institut Agro, Univ Rennes, Ploudaniel, France.
Identified and validated QTL GpaVa_MRQ and GpaIX_MRQ provide robust tools for improving potato resistance to Globodera pallida via marker-assisted selection. Potato (Solanum tuberosum L.), a vital food crop globally, faces significant yield losses due to potato cyst nematodes (PCN).
View Article and Find Full Text PDFJ Vet Med Educ
February 2025
College of Veterinary Medicine, University of Tennessee, Knoxville, TN, USA.
Comments requested on student evaluation of teaching (SET) forms are intended to help instructors identify strengths and weaknesses in their teaching methods. However, low SET completion rates limit their usefulness. Standard practice in US higher education is that students complete SETs before their final examination period due to concerns about negative effects of the exam and grade.
View Article and Find Full Text PDFStat Med
February 2025
Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.
Background: External validations are essential to assess the performance of a clinical prediction model (CPM) before deployment. Apart from model misspecification, also differences in patient population, the standard of care, predictor definitions, and other factors influence a model's discriminative ability, as commonly quantified by the AUC (or c-statistic). We aimed to quantify the variation in AUCs across sets of external validation studies and propose ways to adjust expectations of a model's performance in a new setting.
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