Research updates, June 3

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Infographic from JAMA Pediatrics, describing Long COVID in children. The graphic features a pink background and a pink version of a SARS-CoV-2 molecule in one corner. Text reads: "Long COVID happens when a child continues to have symptoms at least months after having a COVID-19 infection. Sometimes symptoms change, or symptoms may reappear after feeling better. Signs and symptoms of long COVID are variable in children of different ages." The graphic then lists symptoms and signs by age group, such as trouble sleeping in infants and toddlers (0-2 y), and trouble with memory or focusing in school-aged children (6-11 y).
Graphic via Gross et al in JAMA Pediatrics, May 2025.
  • A new National Institutes of Health RECOVER program study in JAMA Pediatrics found that around one in seven children under age six with a prior SARS-CoV-2 infection met the probable diagnostic criteria for Long COVID. Studying over 1,000 infants, toddlers, and preschool-aged children, researchers revealed differences in how Long COVID presented between age groups. “Young children have been largely excluded from public conversations about the impact of COVID,”  said co-author Megan Carmilani in a press release. “[This study] should be a wake-up call to providers and parents: babies and toddlers can develop Long COVID.” The authors also put together a resource designed for caregivers of children with Long COVID, which identifies Long COVID as “the most common chronic health problem in children.”
     
  • Pemivibart (Pemgarda), a monoclonal antibody that helps prevent COVID-19, was found to be “well tolerated” and effective in a new phase 3 clinical trial of nearly 800 participants. Published in Clinical Infectious Diseases, the study noted that a small number of trial participants experienced  anaphylaxis — a severe allergic reaction. “Overall, these data underscore the ongoing need for preventive measures, especially during periods of high exposure to SARS-CoV-2,” the study’s authors concluded.
     
  • A new preprint from researchers in the United States and Canada used a model called “Mobius” to classify ME and Long COVID with 97% accuracy, using data from the blood of people with the diseases. The scientists used 852 samples from 14 different data sets and concluded that while clinical validation is needed, the open-source model “could enable a much-needed objective blood test for these conditions and guide targeted precision medicine therapies.”

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