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At the 2015 World Health Assembly, UN member states adopted a resolution that committed to the development of national action plans (NAPs) for antimicrobial resistance (AMR). The political determination to commit to NAPs and the availability of robust governance structures to assure sustainable translation of the identified NAP objectives from policy to practice remain major barriers to progress. Inter-country variability in economic and political resilience and resource constraints could be fundamental barriers to progressing AMR NAPs. Although there have been regional and global analyses of NAPs from a One Health and policy perspective, a global assessment of the NAP objectives targeting antimicrobial use in human populations is needed. In this Health Policy, we report a systematic evidence synthesis of existing NAPs that are aimed at tackling AMR in human populations. We find marked gaps and variability in maturity of NAP development and operationalisation across the domains of: (1) policy and strategic planning; (2) medicines management and prescribing systems; (3) technology for optimised antimicrobial prescribing; (4) context, culture, and behaviours; (5) operational delivery and monitoring; and (6) patient and public engagement and involvement. The gaps identified in these domains highlight opportunities to facilitate sustainable delivery and operationalisation of NAPs. The findings from this analysis can be used at country, regional, and global levels to identify AMR-related priorities that are relevant to infrastructure needs and contexts.
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http://dx.doi.org/10.1016/S2214-109X(23)00019-0 | DOI Listing |
Circ Genom Precis Med
September 2025
Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China (J.Z., S.R., L.C., M.C., F.T., B.A., Y.Y., H.L.).
Background: Previous studies have suggested that the associations between ambient air pollution and atherosclerotic cardiovascular diseases (ASCVD) differ by genotype. A genome-wide approach provides a more comprehensive understanding of this relationship on a genomic scale.
Methods: Using data from ≈300 000 UK Biobank participants, we conducted a genome-wide interaction analysis on 10 745 802 variants.
Brain Behav
September 2025
Department of Biology, Faculty of Science, Ferdowsi University of Mashhad, Mashhad, Iran.
Introduction: Anxiety and stress are prevalent mental health issues. Traditional drug treatments often come with unwanted side effects and may not produce the desired results. As an alternative, probiotics are being used as a treatment option due to their lack of specific side effects.
View Article and Find Full Text PDFCirc Genom Precis Med
September 2025
Feinberg School of Medicine, Northwestern University, Chicago, IL (Z.C., P.G., A.G., G.W.).
Background: Genetic variation contributes to atrial fibrillation (AF), but its impact may vary with age. The Research Program contains whole-genome sequencing of data from 100 574 adult participants with linked electronic health records.
Methods: We assessed clinical, monogenic, and polygenic associations with AF in a cross-sectional analysis, stratified by age: <45 years (n=22 290), 45 to 60 years (n=26 805), and >60 years (n=51 659).
Circ Genom Precis Med
September 2025
Clinical Pharmacology and Precision Medicine, William Harvey Research Institute, London, United Kingdom (W.J.Y., M.M.S., J.R., S.v.D., H.R.W., A.T., P.B.M.).
Background: There is a higher prevalence of heart rate corrected QT (QTc) prolongation in patients with diabetes and metabolic syndrome. QT interval genome-wide association studies have identified candidate genes for cardiac energy metabolism, and experimental studies suggest that polyunsaturated fatty acids have direct effects on ion channel function. Despite this, there has been limited study of metabolite concentration relationships with QT intervals.
View Article and Find Full Text PDFJ Biomed Res
September 2025
State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University; Nanjing, Jiangsu 211166, China.
Non-obstructive azoospermia (NOA), characterized by impaired spermatogenesis and the complete absence of sperm in the ejaculate, represents one of the most severe forms of male infertility. Current diagnostic strategies rely on invasive procedures such as testicular sperm extraction, underscoring the urgent need for reliable, non-invasive alternatives. In the present study, we performed untargeted metabolomic profiling of human seminal plasma to identify biomarker panels capable of stratifying azoospermia subtypes through a stepwise approach.
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