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Interim results from a large, ongoing study shows that genomic newborn screening identifies treatable conditions that would be missed by standard tests.
Despite increasing availability of pharmacotherapies, interventions targeting unhealthy lifestyle behaviors continue to be critically important in the prevention and management of cardiometabolic diseases—and should be reinforced by supportive environments and policy measures.
According to a large international study, Internet use among adults 50 or more years of age correlates with reduced depressive symptoms, increased life satisfaction and improved self-reported health.
In a cohort of 50,556 South Asian individuals, partitioned polygenic scores helped identify genetic susceptibility to insulin deficiency and unfavorable fat distribution as key drivers of young-onset T2D diagnosis and faster progression to diabetes-related complications.
A prospective, multicenter study of patients hospitalized with COVID-19 demonstrates objective global cognitive impairment after 12–18 months of follow-up, especially in those who had experienced encephalopathy. The cognitive impairment was associated with increased levels of serum brain injury biomarkers and a reduction in regional brain volume on MRI.
Metastatic spread of cancer to the brain has a devastating effect on patient outcomes, yet identifying patients who will develop brain metastases is difficult in current clinical practice. We show that DNA methylation signatures from lung adenocarcinomas can accurately predict which patients are at risk of metastasis to the brain, which could transform future cancer care.
A large-scale genomic analysis reveals associations between body mass index and certain driver mutations in various cancer types, particularly lung adenocarcinoma.
Citizen-science approaches can help challenge taboos around intimate health topics, amplify underrepresented voices and prioritize women’s involvement in health research; this Perspective considers the key challenges and ingredients for success.
The placenta has an essential role in maintaining a successful pregnancy, yet its molecular composition and functions remain poorly understood. We present a comprehensive spatially resolved single-cell multi-omic census and molecular architecture of the first trimester human placenta.
A vascular cell atlas integrating single-cell data of 19 organs and tissues from 62 donors identifies angiotypic and organotypic characteristics of endothelial and mural cells.
Post-war rationing in the UK in 1953 facilitated a natural experiment that now reveals that restricting sugar intake in early life reduces the risk of diabetes and hypertension.
The spatial single-cell multiomic atlas of the first trimester human placenta at molecular resolution provides a blueprint for future studies on early placental development and pregnancy.
A single-cell study integrating data from lung tissues from patients with fatal COVID-19 from Malawi, the United States and Europe identifies shared and distinct immune and inflammatory mechanisms of response.
In a mechanistic analysis of the SUMMIT trial that tested tirzepatide in patients with heart failure with preserved ejection fraction and obesity, treatment with this dual glucagon-like peptide-1 receptor and gastric inhibitory polypeptide agonist, as compared with placebo, reduced blood pressure and estimated circulatory volume–pressure overload, reduced systemic inflammation and mitigated cardiovascular and kidney injury.
Blood lipid profiling in a pediatric cohort identified lipid species associated with cardiometabolic risk factors. Circulating levels of these lipid markers decreased with weight loss after obesity treatment, highlighting their potential as indicators to monitor cardiometabolic health and the effectiveness of obesity management in children and adolescents.
As GLP-1 receptor agonists emerge as treatment options for conditions beyond diabetes and obesity, it becomes critical to understand how genetic, clinical and sociodemographic differences impact their effects on weight loss.
Next-generation metagenomic testing increases the accuracy and sensitivity of the etiology of central nervous system infections in hospitalized patients.