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Single-cell transcriptomics of bronchoalveolar lavage during PRRSV infection with different virulence

  • Byeonghwi Lim
  • , Seung Chai Kim
  • , Hwan Ju Kim
  • , Jae Hwan Kim
  • , Young Jun Seo
  • , Chiwoong Lim
  • , Yejee Park
  • , Sunirmal Sheet
  • , Dahye Kim
  • , Do Hwan Lim
  • , Kyeongsoon Park
  • , Kyung Tai Lee*
  • , Won Il Kim*
  • , Jun Mo Kim*
  • *Corresponding author for this work
  • Chung-Ang University
  • Jeonbuk National University
  • United States Food and Drug Administration
  • Soongsil University

Research output: Contribution to journalJournal articlepeer-review

Abstract

Porcine reproductive and respiratory syndrome virus (PRRSV) causes significant economic losses in the global swine industry due to its high genetic diversity and different virulence levels, which complicate disease management and vaccine development. This study evaluated longitudinal changes in the immune cell composition of bronchoalveolar lavage fluid and the clinical outcomes across PRRSV strains with varying virulence, using techniques including single-cell transcriptomics. In highly virulent infection, faster viral replication results in an earlier peak lung-damage time point, marked by significant interstitial pneumonia, a significant decrease in macrophages, and an influx of lymphocytes. Viral tracking reveals less than 5% of macrophages are directly infected, and further analysis indicates bystander cell death, likely regulated by exosomal microRNAs as a significant factor. In contrast, the peak intermediate infection shows a delayed lung-damage time point with fewer cell population modifications. Furthermore, anti-inflammatory M2-like macrophages (SPP1-CXCL14high) are identified and their counts increase during the peak lung-damage time point, likely contributing to local defense and lung recovery, which is not observed in high virulent infection. These findings provide a comprehensive description of the immune cellular landscape and differential PRRSV virulence mechanisms, which will help build new hypotheses to understand PRRSV pathogenesis and other respiratory infections.

Original languageEnglish
Article number1112
JournalNature Communications
Volume16
Issue number1
DOIs
StatePublished - 2025.12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Quacquarelli Symonds(QS) Subject Topics

  • Chemistry
  • Physics & Astronomy
  • Biological Sciences

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