Multi-omics Characterization of Neutrophil Extracellular Trap Formation in Severe and Mild COVID-19 Infections
Bramer, L.; Hontz, R.; Eisfeld, A.; Sims, A.; Kim, Y.-M.; Stratton, K.; Nicora, C.; Gritsenko, M.; Schepmoes, A.; Akasaka, O.; Koga, M.; Tsutsumi, T.; Nakamura, M.; Nakachi, I.; Baba, R.; Tateno, H.; Suzuki, S.; Nakajima, H.; Kato, H.; Ishida, K.; Ishii, M.; Uwamino, Y.; Mitamura, K.; Paurus, V.; Nakayasu, E.; Attah, I.; Letizia, A. G.; Waters, K.; Metz, T.; Corson, K.; Kawaoka, Y.; Gerbasi, V. R.
Show abstract
The detailed mechanisms of COVID-19 infection pathology remain poorly understood. To improve our understanding of SARS-CoV-2 pathology, we performed a multi-omics analysis of an immunologically naive SARS-CoV-2 clinical cohort from the plasma of uninfected controls, mild, and severe infections. A comparison of healthy controls and patient samples showed activation of neutrophil degranulation pathways and formation of neutrophil extracellular trap (NET) complexes that were activated in a subset of the mild infections and more prevalent in severe infections (containing multiple NET proteins in individual patient samples). As a potential mechanism to suppress NET formation, multiple redox enzymes were elevated in the mild and severe symptom population. Analysis of metabolites from the same cohort showed a 24- and 60-fold elevation in plasma L-cystine, the oxidized form of cysteine, which is a substrate of the powerful antioxidant glutathione, in mild and severe patients, respectively. Unique to patients with mild infections, the carnosine dipeptidase modifying enzyme (CNDP1) was up-regulated. The strong protein and metabolite oxidation signatures suggest multiple compensatory pathways working to suppress oxidation and NET formation in SARS-CoV-2 infections.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Persistence of SARS CoV-2 S1 Protein in CD16+ Monocytes in Post-Acute Sequelae of COVID-19 (PASC) Up to 15 Months Post-Infection 95%
- Distinct proteomic signatures in Ethiopians predict acute and long-term sequelae of COVID-19 95%
- An Autoantigen Atlas from Human Lung HFL1 Cells Offers Clues to Neurological and Diverse Autoimmune Manifestations of COVID-19 94%
Similar papers in this journal
- Mapping a Toxoplasma gondii interactome by crosslinking mass spectrometry and machine learning 94%
- The glycoprotease CpaA secreted by medically relevant Acinetobacter species targets multiple O-linked host glycoproteins 93%
- Diverse Humoral Immune Responses in Younger and Older Adult COVID-19 Patients 92%
Similar papers in this journal
- Spatial metabolomics reveals localized impact of influenza virus infection on the lung tissue metabolome 96%
- Spatially-divergent metabolic impact of experimental toxoplasmosis: immunological and microbial correlates 95%
- Systems analysis of gut microbiome influence on metabolic disease in HIV and high-risk populations 95%
"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.