AI Article Synopsis

  • The study focuses on "post-acute COVID-19 syndrome" (PACS), also known as long COVID, which affects a significant portion of survivors, with 37.2% of participants meeting PACS criteria 7-19 months post-infection.
  • Researchers examined clinical, immunological, and metabolomic factors in 51 patients and found notable differences in immune responses and metabolite levels associated with PACS.
  • Key findings included elevated levels of certain immune cells and metabolites like interleukin-8 and pyruvate in PACS patients, suggesting that these biomarkers during acute infection could help predict the risk of developing PACS.

Article Abstract

The coronavirus disease 2019 (COVID-19) survivors are frequently observed to present persistent symptoms constituting what has been called "post-acute COVID-19 syndrome" (PACS) or "long COVID-19". Some clinical risk factors have been identified to be associated with PACS development; however, specific mechanisms responsible for PACS pathology remain unknown. This study investigates clinical, immunological, and metabolomic risk factors associated with post-acute COVID-19 syndrome (PACS) in 51 patients, assessed 7-19 months after acute infection. Among the participants, 62.7% were male and 37.2% were female, with an average age of 47.8 years. At the follow-up, 37.2% met the criteria for PACS, revealing significant differences in immunological and metabolomic profiles at the time of acute infection. Patients with PACS were characterized by elevated levels of mature low-density granulocytes (LDGs), interleukin-8 (IL-8), pyruvate, pseudouridine, and cystine. Baseline multivariate analysis showed increased pyruvate and decreased alpha tocopherol levels. At follow-up, there was a decrease in absolute B lymphocytes and an increase in non-classical monocytes and 3-hydroxyisovaleric acid levels. These findings suggest that specific immunological and metabolomic markers during acute infection can help identify patients at higher risk of developing persistent PACS.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11395921PMC
http://dx.doi.org/10.3390/ijms25179661DOI Listing

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