Multi-omics of NET formation and correlations with CNDP1, PSPB, and L-cystine levels in severe and mild COVID-19 infections

Bramer, Lisa; Hontz, Robert D.; Eisfeld, Amie J.; Sims, Amy C.; Kim, Young Mo; Stratton, Kelly G.; Nicora, Carrie; Gritsenko, Marina; Schepmoes, Athena; Akasaka, Osamu; Koga, Michiko; Tsutsumi, Takeshi; Nakamura, Morio; Nakachi, Ichiro; Baba, Rie; Tateno, Hiroki; Suzuki, Shoji; Nakajima, Hitoshi; Kato, Hideaki; Ishida, Kazunari; Ishii, Makoto; Uwamino, Yoshifumi; Mitamura, Keiko; Paurus, Vanessa; Nakayasu, Ernesto; Attah, Isaac K.; Letizia, Andrew G.; Waters, Katrina M.; Metz, Thomas O.; Corson, Karen; Kawaoka, Yoshihiro; Gerbasi, Vincent R.; Yotsuyanagi, Hiroshi; Iwatsuki‐Horimoto, Kiyoko

doi:10.1016/j.heliyon.2023.e13795

Cited by 3 publications

(6 citation statements)

References 76 publications

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“…An increase in cystine and cysteine levels in the plasma of COVID-19 patients with increasing severity of infection (from moderate to severe) was also reported in Bramer et al 24 . Cystine is formed in the extracellular space from reduced glutathione, functions as a general marker of infection and can serve as an indicator of glutathione production and activity of its cycle under oxidative stress 22,24 .…”

Section: Discussionsupporting

confidence: 71%

“…Decreased glutathione levels were observed 22,23 in diseases that increase the risk of COVID-19, and the resulting glutathione deficiency was associated with the severity of course and death in patients with COVID-19. An increase in cystine and cysteine levels in the plasma of COVID-19 patients with increasing severity of infection (from moderate to severe) was also reported in Bramer et al 24 . Cystine is formed in the extracellular space from reduced glutathione, functions as a general marker of infection and can serve as an indicator of glutathione production and activity of its cycle under oxidative stress 22,24 .…”

Section: Discussionsupporting

confidence: 71%

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Amino acid profiling of COVID-19 patients blood serum

Russkikh,

Sushentseva,

Popov

et al. 2024

Preprint

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Main objectives of this study were to analyse metabolomic profile features of patients with COVID-19 using mass spectrometry techniques while taking into account the clinical and laboratory history, and to study the relationship between the severity of COVID-19 symptoms and the concentration of primary metabolites, primarily amino acids. We used frozen blood serum samples of 935 COVID-19 patients from the City Hospital No. 40 biobank collection. Metabolomic profile was studied by HPLS-MS/MS method. R programming language was used for statistical data processing. The difference of metabolic profile of patients with COVID-19 depending on the severity of the disease was revealed based on the performed analysis - for 52 out of 84 detected compounds there were differences with reliability p<0,01. Statistically significant differences in concentration were recorded for organic acids, amino acids and their derivatives. Using samples from the biobank collection, a metabolomic study of the biomaterial of patients hospitalised with the diagnosis of COVID-19 was carried out. According to the results obtained, kynurenine, phenylalanine and acetylcarnitine were associated with the severity of COVID-19 infection.

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Section: Discussionsupporting

confidence: 71%

Section: Discussionsupporting

confidence: 71%

Amino acid profiling of COVID-19 patients blood serum

Russkikh,

Sushentseva,

Popov

et al. 2024

Preprint

View full text Add to dashboard Cite

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“…Metabolites analysis revealed that neutrophils from SARS‐CoV‐2 patients have shown higher ROS emission. Also, COVID‐19 patients have higher levels of glutathione synthesis, which is probably a defense mechanism against NETs formation 22 …”

Section: Nets Formation and Its Role In The Sars‐cov‐2 Infectionmentioning

confidence: 99%

“…Also, COVID-19 patients have higher levels of glutathione synthesis, which is probably a defense mechanism against NETs formation. 22 Major changes are brought about in the neutrophil compartment by SARS-CoV-2 infection. Low-density neutrophils (LDNs), a mixture of both mature and immature neutrophils, have been demonstrated to be more susceptible to NETosis and NETs formation.…”

Section: Nets In Sars-cov-2 Infectionmentioning

confidence: 99%

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The central role of neutrophil extracellular traps (NETs) and by‐products in COVID‐19 related pulmonary thrombosis

Li,

Wang,

Shao

2023

Immunity Inflam & Disease

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Extracellular trap networks (neutrophil extracellular traps [NETs]) of polymorphonuclear neutrophils are mesh‐like substances that prevent the spread of pathogens. They primarily consist of DNA skeletons, histones, granule components, and cytoplasmic proteins. NETs formation requires a certain environment and there are different pathways for NETs production. However, it is still not clear how severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) promotes NETs. NETs exert antiinflammatory effects through immune response, while they can also lead to certain adverse outcomes, such as the development of immunothrombosis. Coronavirus disease 2019 (COVID‐19) is an inflammatory reaction affecting various organs caused by SARS‐CoV‐2, especially the lungs. NETs production and disease severity are linked with unique neutrophil clusters by single‐cell RNA sequencing. NETs might exert an anti‐inflammatory role in the initial stage of lung tissue inflammation. Nevertheless, numerous studies and cases have shown that they can also result in pulmonary thrombosis. There is mounting evidence that NETs are tightly related with COVID‐19 pulmonary thrombosis, and many studies on the mechanisms are involved. The role and mechanism of NETs in the development of pulmonary thrombosis will be the main topics of this manuscript. Additionally, we address the potential targeting of NETs in COVID‐19 patients.

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Study of the metabolome features of patients with COVID-19

Russkikh,

Sushentseva,

Popov

et al. 2023

Cardiovasc Ther Prev

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Aim. To analyze the metabolomic profile of patients with coronavirus disease 2019 (COVID-19) using mass spectrometry methods and taking into account clinical and laboratory history. Studying the relationship between the severity of COVID-19 symptoms and the concentration of primary metabolites, primarily amino acids.Material and methods. The retrospective study included serum samples from a total of 935 people (445 men and 490 women) with COVID-19 from the collection of the biobank of the City Hospital № 40. A metabolomic profile was studied in all samples using chromatography-mass spectrometry. The R language was used for statistical data processing.Results. Based on the analysis, a difference in the metabolic profile of patients with COVID-19 was identified depending on the disease severity — for 52 of the 84 detected compounds, differences were observed with a significance of p<0,01. Significant differences in concentration were recorded for organic acids, amino acids and their derivatives.Conclusion. Using samples from the biobank collection, a metabolomic study of the biomaterial of patients hospitalized with a diagnosis of COVID-19 was carried out. According to the results obtained, kynurenine, phenylalanine and acetylcarnitine are associated with COVID-19 severity. Differences in the metabolomic profile were identified in patients with cytokine storm at the time of blood collection. Potential biomarkers for cytokine storm were identified.

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Multi-omics of NET formation and correlations with CNDP1, PSPB, and L-cystine levels in severe and mild COVID-19 infections

Cited by 3 publications

References 76 publications

Amino acid profiling of COVID-19 patients blood serum

Amino acid profiling of COVID-19 patients blood serum

The central role of neutrophil extracellular traps (NETs) and by‐products in COVID‐19 related pulmonary thrombosis

Study of the metabolome features of patients with COVID-19

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