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Volume 28 Issue 11, November 2022

Metabolic individuality

In this issue, Langenberg and colleagues reveal the genetic architecture that underpins individualized metabolic profiles and their relationship with clinical phenotypes. The tattoos of metabolic pathways on the cover reflect the chemical individuality of the person, with the base codes in the background representing the genetics that underlie the metabolic phenotypes.

See Langenberg et al.

IMAGE: Polygraph Design. COVER DESIGN: Marina Spence

Editorial

  • New initiatives aimed at reducing the burden of diabetes are laudable, but they will have to account for the disease’s complexity and heterogeneity to be truly effective and equitable at a global scale.

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World View

  • Use of AI-driven care for patients with type 1 diabetes has freed up clinicians’ time to focus on patients’ quality of life and provide more empathic, patient-centered care.

    • Aaron B. Neinstein
    World View
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News & Views

  • Circulating tumor DNA (ctDNA) informs predictive biomarkers in non–small-cell lung cancer, but the presence of ctDNA itself could also be a prognostic indicator.

    • Ana Vivancos
    • Josep Tabernero
    News & Views
  • Emerging evidence shows that boosting with updated mRNA vaccines that target SARS-CoV-2 variants stimulates better neutralizing antibody responses than homologous boosters.

    • Deepta Bhattacharya
    • Gabriel D. Victora
    News & Views
  • In a clinical trial, non-nutritive sweeteners — which are supposedly inert — were shown to disrupt the gut microbiome of healthy people and impair glucose tolerance.

    • Tiphaine Le Roy
    • Karine Clément
    News & Views
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Research Briefings

  • Impaired glucose tolerance (IGT) is a common condition that affects glucose control after sugar consumption. Isolated IGT is undetected by screening and diagnostic strategies, leaving affected individuals at high risk of developing diabetes. Here, a machine-learning framework identifies a three-protein signature for detecting isolated IGT from a single blood sample.

    Research Briefing
  • Using electronic health records data from the All of Us Research Program, we show that higher daily step counts in data collected over several years of Fitbit fitness tracker use were associated with lower risk of common, chronic diseases, including diabetes, hypertension, gastroesophageal reflux disease, depression, obesity and sleep apnea.

    Research Briefing
  • Early identification of at-risk people is critical in disease prevention, but current screening approaches are resource intensive and are often restricted to one disease at a time. We show how nuclear magnetic resonance (NMR) spectroscopy–derived metabolomics profiles can be used to predict multi-disease risk for the onset of 24 common conditions.

    Research Briefing
  • We show that patients who survive the first 30 days of acute SARS-CoV-2 infection have an increased risk of various post-acute neurological disorders after 1 year compared with uninfected contemporaries. The burden of these sequelae (aspects of ‘long COVID’) has serious implications for patients as well as society.

    Research Briefing
  • We used a global mathematical model simulating different scenarios to study the effects of increased COVID-19 vaccine equity during 2021. Our results indicate that vaccine nationalism leads to increased infections and mortality worldwide, and by favoring the emergence of new viral variants, in the long term it may adversely affect all countries.

    Research Briefing
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