iScience (Jul 2024)

Pulmonary and renal long COVID at two-year revisit

  • Jing Wang,
  • Xiao Liang,
  • Yufen Zheng,
  • Yi Zhu,
  • Kai Zhou,
  • Xiaomai Wu,
  • Rui Sun,
  • Yifan Hu,
  • Xiaoli Zhu,
  • Hongbo Chi,
  • Shanjun Chen,
  • Mengge Lyu,
  • Yuting Xie,
  • Xiao Yi,
  • Wei Liu,
  • Xue Cai,
  • Sainan Li,
  • Qiushi Zhang,
  • Chunlong Wu,
  • Yingqiu Shi,
  • Donglian Wang,
  • Minfei Peng,
  • Ying Zhang,
  • Huafen Liu,
  • Chao Zhang,
  • Sheng Quan,
  • Ziqing Kong,
  • Zhouyang Kang,
  • Guangjun Zhu,
  • Hongguo Zhu,
  • Shiyong Chen,
  • Junbo Liang,
  • Hai Yang,
  • Jianxin Pang,
  • Yicheng Fang,
  • Haixiao Chen,
  • Jun Li,
  • Jiaqin Xu,
  • Tiannan Guo,
  • Bo Shen

Journal volume & issue
Vol. 27, no. 7
p. 110344

Abstract

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Summary: This study investigated host responses to long COVID by following up with 89 of the original 144 cohorts for 1-year (N = 73) and 2-year visits (N = 57). Pulmonary long COVID, characterized by fibrous stripes, was observed in 8.7% and 17.8% of patients at the 1-year and 2-year revisits, respectively, while renal long COVID was present in 15.2% and 23.9% of patients, respectively. Pulmonary and renal long COVID at 1-year revisit was predicted using a machine learning model based on clinical and multi-omics data collected during the first month of the disease with an accuracy of 87.5%. Proteomics revealed that lung fibrous stripes were associated with consistent down-regulation of surfactant-associated protein B in the sera, while renal long COVID could be linked to the inhibition of urinary protein expression. This study provides a longitudinal view of the clinical and molecular landscape of COVID-19 and presents a predictive model for pulmonary and renal long COVID.

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