Analysis of Prognostic Factors and Establishment of a Nomogram to Predict Risk for COVID-19 Convalescent Patients Based on Metabolomic and Lipidomic DOI Creative Commons

Anzhu Wang,

Yingying Yang, Peng Miao

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: March 8, 2024

Abstract Ethnopharmacological relevance: Qimai Feiluoping Mixture (QM) is a traditional Chinese herbal formulation that has demonstrated efficacy in improving both clinical symptoms and radiological indications of pulmonary fibrosis patients convalescing from Coronavirus Disease 2019 (COVID-19). Aim the study: To analyze factors associated with prognosis COVID-19 patients. It seeks to develop validate nomogram based on metabolomic lipidomic for predicting improvements lung imaging Additionally, study evaluates application value this nomogram. Methods materials: A retrospective analysis was conducted data recovery January 2020 April 2022. Non-targeted plasma were performed using LC-MS normal phase (NP)-HPLC coupled mass spectrometry. Patients divided into training validation sets 7:3 ratio their omics data. Multivariate logistic regression identify independent risk imaging. Based these factors, prediction model developed. The evaluated receiver operating characteristic (ROC) curves calibration curves. In addition, decision curve (DCA) assess performance predictive applications. Results use QM found be (P < 0.05). Among 75 metabolites detected test 32 lipids identified test, Pro Ser Val, PC36:1(18:0_18:1), BMP36:3(18:2_18:1) utilized constructing model. good discriminative ability, an Area Under Curve (AUC) 0.821 (95% CI: 0.718–0.924) set 0.808 0.627–0.989) set. indicated agreement between predicted probabilities actual sets. Finally, DCA suggested utility. Conclusion utilization may beneficially influence COVID-19. straightforward nomogram, developed lipidomic, could valuable tool clinicians predict likelihood

Language: Английский

Mediators of monocyte chemotaxis and matrix remodeling are associated with mortality and pulmonary fibroproliferation in patients with severe COVID-19 DOI Creative Commons
Sarah E. Holton,

Mallorie Mitchem,

Hamid Chalian

et al.

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(8), P. e0285638 - e0285638

Published: Aug. 6, 2024

Acute respiratory distress syndrome (ARDS) has a fibroproliferative phase that may be followed by pulmonary fibrosis. Pulmonary fibrosis following COVID-19 pneumonia been described at autopsy and lung transplantation. We hypothesized protein mediators of tissue remodeling monocyte chemotaxis are elevated in the plasma endotracheal aspirates critically ill patients with who subsequently develop features fibroproliferation. enrolled admitted to ICU hypoxemic failure. ( n = 195). Plasma was collected within 24h admission 7d. In mechanically ventilated patients, (ETA) were collected. Protein concentrations measured immunoassay. tested for associations between outcomes using logistic regression adjusting age, sex, treatment steroids, APACHE III score. subset had CT scans during hospitalization 75), we radiographic Among entire cohort, IL-6, TNF-α, CCL2, Amphiregulin levels significantly associated in-hospital mortality. addition, higher Amphiregulin, CXCL12 fewer ventilator-free days. identified 20/75 (26%) Within admission, no proteins response. However, when 96h-128h after those developed ETAs not correlated measurements did show any association mortality, days (VFDs), or This cohort study identifies recruitment VFDs, Measuring changes these over time allow early identification severe risk

Language: Английский

Citations

1
Longitudinal Assessment of Nasopharyngeal Biomarkers Post-COVID-19: Unveiling Persistent Markers and Severity Correlations DOI Creative Commons
Francisco Javier Redondo Calvo, Yoana Rabanal‐Ruiz,

Gema Verdugo-Moreno

et al.

Journal of Proteome Research, Journal Year: 2024, Volume and Issue: 23(11), P. 5064 - 5084

Published: Oct. 11, 2024

SARS-CoV-19 infection provokes a variety of symptoms; most patients present mild/moderate symptoms, whereas small proportion progress to severe illness with multiorgan failure accompanied by metabolic disturbances requiring ICU-level care. Given the importance disease, researchers focused on identifying severity-associated biomarkers in infected as well markers associated suffering long-COVID. However, little is known about presence that remain few years after SARS-CoV-2 once fully recover symptoms. In this study, we evaluated persistent nasopharyngeal tract two SARS-Cov-2 asymptomatic patients, taking into account severity their (mild/moderate and infections). addition direct identification several components Coronavirus Infection Pathway those individuals suffered infections, describe herein 371 proteins canonical pathways define different adverse effects infections. The persistence these for up infection, along ability distinguish endured, highlights surprising exudate changes recovered patients.

Language: Английский

Citations

1
Long COVID elevated MMP-9 and release from microglia by SARS-CoV-2 Spike protein DOI Creative Commons
Duraisamy Kempuraj, Irene Tsilioni, Kristina Aenlle

et al.

Translational Neuroscience, Journal Year: 2024, Volume and Issue: 15(1)

Published: Jan. 1, 2024

Abstract Objective Long COVID is a major health concern because many patients develop chronic neuropsychiatric symptoms, but the precise pathogenesis unknown. Matrix metalloproteinase-9 (MMP-9) can disrupt neuronal connectivity and be elevated in with long COVID. Methods In this study, MMP-9 was measured serum of healthy controls, as well supernatant fluid cultured human microglia cell line stimulated by recombinant severe acute respiratory syndrome coronavirus 2 Spike protein, lipopolysaccharide (LPS) neurotensin (NT) used positive controls. commercial enzyme-linked immunosorbent assay. Results significantly compared to Moreover, there significant release from LPS, NT, or protein. We further show that pretreatment flavonoids luteolin tetramethoxyluteolin (methlut) inhibited Conclusion protein-stimulated could contribute development may serve target for treatment including use luteolin.

Language: Английский

Citations

1
Targeting G9a translational mechanism of SARS-CoV-2 pathogenesis for multifaceted therapeutics of COVID-19 and its sequalae DOI Open Access
Adil Muneer, Ling Xie, Xuping Xie

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: March 6, 2024

By largely unknown mechanism(s), SARS-CoV-2 hijacks the host translation apparatus to promote COVID-19 pathogenesis. We report that histone methyltransferase G9a noncanonically regulates viral hijacking of machinery bring about symptoms hyperinflammation, lymphopenia, and blood coagulation. Chemoproteomic analysis patient peripheral mononuclear cells (PBMC) identified enhanced interactions between SARS-CoV-2-upregulated distinct regulators, particularly N

Language: Английский

Citations

0
Analysis of Prognostic Factors and Establishment of a Nomogram to Predict Risk for COVID-19 Convalescent Patients Based on Metabolomic and Lipidomic DOI Creative Commons

Anzhu Wang,

Yingying Yang, Peng Miao

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: March 8, 2024

Abstract Ethnopharmacological relevance: Qimai Feiluoping Mixture (QM) is a traditional Chinese herbal formulation that has demonstrated efficacy in improving both clinical symptoms and radiological indications of pulmonary fibrosis patients convalescing from Coronavirus Disease 2019 (COVID-19). Aim the study: To analyze factors associated with prognosis COVID-19 patients. It seeks to develop validate nomogram based on metabolomic lipidomic for predicting improvements lung imaging Additionally, study evaluates application value this nomogram. Methods materials: A retrospective analysis was conducted data recovery January 2020 April 2022. Non-targeted plasma were performed using LC-MS normal phase (NP)-HPLC coupled mass spectrometry. Patients divided into training validation sets 7:3 ratio their omics data. Multivariate logistic regression identify independent risk imaging. Based these factors, prediction model developed. The evaluated receiver operating characteristic (ROC) curves calibration curves. In addition, decision curve (DCA) assess performance predictive applications. Results use QM found be (P < 0.05). Among 75 metabolites detected test 32 lipids identified test, Pro Ser Val, PC36:1(18:0_18:1), BMP36:3(18:2_18:1) utilized constructing model. good discriminative ability, an Area Under Curve (AUC) 0.821 (95% CI: 0.718–0.924) set 0.808 0.627–0.989) set. indicated agreement between predicted probabilities actual sets. Finally, DCA suggested utility. Conclusion utilization may beneficially influence COVID-19. straightforward nomogram, developed lipidomic, could valuable tool clinicians predict likelihood

Language: Английский

Citations

0