Donor and recipient gastrointestinal tracts and their microbiomes are represented on the cover as converging pipes, demonstrating the interplay between the microbial communities after FMT, described in Bork et al.

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  • Individuals with COVID-19 are at an increased risk for an array of neurologic disorders at 12 months, even in those who were not hospitalized during the acute phase of the infection.

    • Evan Xu
    • Yan Xie
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  • In a study involving more than 100,000 individuals in the UK Biobank, a neural network model trained on metabolomic data can predict disease risk for over 20 conditions and adds predictive information over clinical variables for eight common diseases.

    • Thore Buergel
    • Jakob Steinfeldt
    • Ulf Landmesser
    Article Open Access
  • Analysis of outcomes of over 800 patients with relapsed/refractory diffuse large B cell lymphoma, treated with commercially available CAR T cell therapy, supports higher efficacy and also a higher toxicity of axicabtagene ciloleucel compared to tisagenlecleucel as the third or more treatment line for this type of tumor.

    • Emmanuel Bachy
    • Steven Le Gouill
    • Franck Morschhauser
    Article Open Access
  • A deep-learning algorithm that removes patient-identifying information from facial images, while retaining sufficient information for accurate disease diagnosis, has the potential to protect patient privacy and facilitate public acceptance of facial imaging for use in digital medicine.

    • Yahan Yang
    • Junfeng Lyu
    • Haotian Lin
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    • 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
    • To accelerate the development of T cell–based immunotherapies that are effective for more patients with cancer, there is an urgent need to decipher the precise attributes of the ideal therapeutic T cell. In March 2021, the Parker Institute of Cancer Immunotherapy and 10x Genomics partnered to bring together a group of T cell immunotherapy researchers and single-cell-technology innovators for a day’s workshop. Participants evaluated the current cutting edge of knowledge, identified areas for focused technology development, and put forward a call to action to the field. Insights were provided on how to best leverage single-cell technologies and key areas for future development were proposed — with the goal of facilitating a better understanding of T cell research and translation of this research into effective cancer immunotherapies. The key points of discussion that emerged from this workshop are summarized here.

      • Samantha L. Bucktrout
      • Nicholas E. Banovich
      • Abbey Cutchin
      Meeting Report
    • Using comprehensive single-cell profiling, two studies reveal the molecular phenotypes of CAR T cells associated with durable response in patients with lymphoma, and highlight the role of CAR regulatory T cells in mediating resistance.

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