Multi-omics landscapes reveal heterogeneity in long COVID patients characterized with enhanced neutrophil activity

The transcriptomic and proteomic profiling revealed heterogeneity among long COVID patients. We discovered a subgroup of long COVID population characterized by neutrophil activation, which might associate with the development of psychiatric symptoms and indicate a higher inflammatory state. Meanwhile, a cluster of 5 genes was manually curated as the most potent discriminators of NU-LC from long COVID population. This study can serve as a foundational exploration of the heterogeneity in the pathogenesis of long COVID and assist in therapeutic targeting and detailed epidemiological investigation of long COVID.

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Publication Details

Journal
Journal of Translational Medicine
Published
2024-08-12
DOI
https://doi.org/10.1186/s12967-024-05560-6
Citations
11
Primary Topic
Long-Term Effects of COVID-19
Type
article
Field-Weighted Citation Impact
4.06

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article

Multi-omics landscapes reveal heterogeneity in long COVID patients characterized with enhanced neutrophil activity

H. C. Zhang, Jingwen Ai, Jingxin Guo, Guanmin Yuan et al.
11 citations
Journal of Translational Medicine
Long-Term Effects of COVID-19
4.06
article

Multi-omics landscapes reveal heterogeneity in long COVID patients characterized with enhanced neutrophil activity

H. C. Zhang, Jingwen Ai, Jingxin Guo, Guanmin Yuan, Kun Zhu, Wenhong Zhang, Pengfei Wang, Ke Lin, Quanlin Xue, Yuhan Sun, Feng Zhu, Jian‐Peng Cai, Gangqiang Sun, Xun Wang, Sen Wang
article en
11 citations

Abstract

The transcriptomic and proteomic profiling revealed heterogeneity among long COVID patients. We discovered a subgroup of long COVID population characterized by neutrophil activation, which might associate with the development of psychiatric symptoms and indicate a higher inflammatory state. Meanwhile, a cluster of 5 genes was manually curated as the most potent discriminators of NU-LC from long COVID population. This study can serve as a foundational exploration of the heterogeneity in the pathogenesis of long COVID and assist in therapeutic targeting and detailed epidemiological investigation of long COVID.

Journal of Translational MedicineVol. 22(1)
Jiangnan University (CN), Fudan University (CN), Shanghai Public Health Clinical Center (CN), Pudong Medical Center (CN), Wuxi People's Hospital (CN), Huashan Hospital (CN), Institute of Infection and Immunity (CA), State Key Laboratory of Genetic Engineering
Shanghai Municipal Health Commission, National Natural Science Foundation of China, National Key Research and Development Program of China
Climate action
Openalex Percentile: Top 5%
Long-Term Effects of COVID-19
4.06
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