Proteomics Uncovers Immunosuppression in COVID-19 Patients with Long Disease Course
Tang, S.; Sun, R.; Xiao, Q.; Mao, T.; Ge, W.; Huang, C.; Luo, M.; Qian, L.; Chen, H.; Zhang, Q.; Li, S.; Liu, W.; Li, S.; Xu, X.; Li, H.; Wu, L.; Dai, J.; Gao, H.; Li, L.; Lu, T.; Liang, X.; Cai, X.; Ruan, G.; Liu, K.; Zhu, Y.; Huang, J.; Guo, T. J.
Show abstract
Little is known regarding why a subset of COVID-19 patients exhibited prolonged positivity of SARS-CoV-2 infection. Here, we present a longitudinal sera proteomic resource for 37 COVID-19 patients over nine weeks, in which 2700 proteins were quantified with high quality. Remarkably, we found that during the first three weeks since disease onset, while clinical symptoms and outcome were indistinguishable, patients with prolonged disease course displayed characteristic immunological responses including enhanced Natural Killer (NK) cell-mediated innate immunity and regulatory T cell-mediated immunosuppression. We further showed that it is possible to predict the length of disease course using machine learning based on blood protein levels during the first three weeks. Validation in an independent cohort achieved an accuracy of 82%. In summary, this study presents a rich serum proteomic resource to understand host responses in COVID-19 patients and identifies characteristic Treg-mediated immunosuppression in LC patients, nominating new therapeutic target and diagnosis strategy.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Minimal Correlation but Complementary Diagnostic Utility for Plasma Cell-free RNA and Proteins 94%
- Deep Proteome Profiling of Metabolic Dysfunction-Associated Steatotic Liver Disease 93%
- Machine learning-based proteogenomic data modeling identifies circulating plasma biomarkers for early detection of lung cancer 93%
Similar papers in this journal
- Mass spectrometry-based quantification of proteins and post-translational modifications in dried blood: longitudinal sampling of patients with sepsis in Tanzania 92%
- Data-Independent Acquisition and Quantification of Extracellular Matrix from Human Lung in Chronic Inflammation-Associated Carcinomas 92%
- Proteomic and Metabolomic Investigation of COVID-19 Patients with Elevated Serum Lactate Dehydrogenase 92%
Similar papers in this journal
Similar papers in this journal
- High-resolution longitudinal serum proteome trajectories in COVID-19 reveal patients-specific seroconversion 95%
- Plasma proteome profiling to detect and avoid sample-related biases in biomarker studies 93%
- Integrated single cell analysis of human lung fibrosis resolves cellular origins of predictive protein signatures in body fluids 91%
Similar papers in this journal
- The Whole Proteome, Phosphoproteome, and Glycoproteome Landscape of Pan-Cancer Cell Lines Profiled by Mass Spectrometry and Reverse Phase Protein Array 92%
- Multi-Omics and Machine Learning-Based Profiling of Severity Signatures in Mycoplasma Pneumoniae Infection in Children 91%
- Distinct lipid profile, low-level inflammation and increased antioxidant defense as a signature in HIV-1 elite control status 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.