Targeted lipidomics data of COVID-19 patients

Data in Brief, Journal Year: 2023, Volume and Issue: 48, P. 109089 - 109089

Published: March 29, 2023

The dataset provided with this article describes a targeted lipidomics analysis performed on the serum of COVID-19 patients characterized by different degree severity. As ongoing pandemic has posed challenging threat for humanity, data here presented belong to one first studies carried out patients' samples collected during waves. Serum were obtained from hospitalized molecular diagnosis SARS-CoV-2 infection detected after nasal swab, and categorized as mild, moderate, or severe according pre-established clinical descriptors. MS-based lipidomic was MRM using Triple Quad 5500+ mass spectrometer, quantitative acquired panel 483 lipids. characterization been outlined multivariate univariate descriptive statistics bioinformatics tools.

Language: Английский

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COVID-19 and One-Carbon Metabolism

International Journal of Molecular Sciences, Journal Year: 2022, Volume and Issue: 23(8), P. 4181 - 4181

Published: April 10, 2022

Dysregulation of one-carbon metabolism affects a wide range biological processes and is associated with number diseases, including cardiovascular disease, dementia, neural tube defects, cancer. Accumulating evidence suggests that plays an important role in COVID-19. The symptoms long COVID-19 are similar to those presented by subjects suffering from vitamin B12 deficiency (pernicious anemia). cell infected the SARS-CoV-2 virus reshaped fulfill need for massive viral RNA synthesis, which requires de novo purine biosynthesis involving folate metabolism. Many aspects host sulfur amino acid metabolism, particularly glutathione underlying antioxidant defenses, also taken over virus. purpose this review summarize recent findings related metabolites discuss how they inform strategies combat disease.

Language: Английский

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Combining Semi-Targeted Metabolomics and Machine Learning to Identify Metabolic Alterations in the Serum and Urine of Hospitalized Patients with COVID-19

Biomolecules, Journal Year: 2023, Volume and Issue: 13(1), P. 163 - 163

Published: Jan. 12, 2023

Viral infections cause metabolic dysregulation in the infected organism. The present study used metabolomics techniques and machine learning algorithms to retrospectively analyze alterations of a broad panel metabolites serum urine cohort 126 patients hospitalized with COVID-19. Results were compared those 50 healthy subjects 45 COVID-19-negative but bacterial infectious diseases. Metabolites analyzed by gas chromatography coupled quadrupole time-of-flight mass spectrometry. main altered sera COVID-19 pentose glucuronate interconversion, ascorbate fructose metabolism, nucleotide sugars, amino acid metabolism. Alterations maltose, mannonic acid, xylitol, or glyceric segregated positive from control group high diagnostic accuracy, while succinic other disparate Increased lauric concentrations associated severity infection death. Urine analyses could not discriminate between groups. Targeted facilitated exploration underlying infection, identify potential biomarkers for diagnosis prognosis disease.

Language: Английский

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SARS‐CoV‐2 infection results in upregulation of Plasminogen Activator Inhibitor‐1 and Neuroserpin in the lungs, and an increase in fibrinolysis inhibitors associated with disease severity

eJHaem, Journal Year: 2023, Volume and Issue: 4(2), P. 324 - 338

Published: Feb. 23, 2023

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection results in coagulation activation although it is usually not associated with consumption coagulopathy. D-dimers are also commonly elevated despite systemic hypofibrinolysis. To understand these unusual features of disease 2019 (COVID-19) coagulopathy, 64 adult patients SARS-CoV-2 (36 moderate and 28 severe) 16 controls were studied. We evaluated the repertoire plasma protease inhibitors (Serpins, Kunitz, Kazal, Cystatin-like) targeting fibrinolytic system: Plasminogen Activator Inhibitor-1 (PAI-1), Tissue Activator/Plasminogen complex (t-PA/PAI-1), α-2-Antiplasmin, Plasmin-α2-Antiplasmin Complex, Thrombin-activatable Fibrinolysis Inhibitor (TAFI)/TAFIa, Protease Nexin-1 (PN-1), Neuroserpin (the main t-PA inhibitor central nervous system). Inhibitors common (Antithrombin, Thrombin-antithrombin complex, Protein Z [PZ]/PZ inhibitor, Heparin Cofactor II, α2-Macroglobulin), C ([PC], S), contact (Kallistatin, Nexin-2/Amyloid Beta Precursor Protein, α-1-Antitrypsin), complement (C1-Inhibitor) pathways, addition to Factor XIII, Histidine-rich glycoprotein (HRG) Vaspin investigated by enzyme-linked immunosorbent assay. The association markers severity was logistic regression. Pulmonary expression PAI-1 lungs from eight post-mortem cases assessed immunohistochemistry. Results show that six (10%) developed thrombotic events, mortality 11%. There no significant reduction anticoagulants, keeping a compensated state. However, an increase fibrinolysis (PAI-1, Neuroserpin, PN-1, PAP, t-PA/PAI-1) consistently observed, while HRG reduced. Furthermore, and/or severe disease. Notably, immunostains demonstrated overexpression epithelial cells, macrophages, endothelial cells fatal COVID-19, found intraalveolar macrophages only. These imply provide anti-fibrinolytic activity resulting shift toward local hypofibrinolytic state predisposing (immuno)thrombosis, often background disseminated intravascular coagulation.

Language: Английский

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Integrative Plasma Metabolic and Lipidomic Modelling of SARS-CoV-2 Infection in Relation to Clinical Severity and Early Mortality Prediction

International Journal of Molecular Sciences, Journal Year: 2023, Volume and Issue: 24(14), P. 11614 - 11614

Published: July 18, 2023

An integrative multi-modal metabolic phenotyping model was developed to assess the systemic plasma sequelae of SARS-CoV-2 (rRT-PCR positive) induced COVID-19 disease in patients with different respiratory severity levels. Plasma samples from 306 unvaccinated were collected 2020 and classified into four levels ranging mild symptoms severe ventilated cases. These investigated using a combination quantitative Nuclear Magnetic Resonance (NMR) spectroscopy Mass Spectrometry (MS) platforms give broad lipoprotein, lipidomic amino acid, tryptophan-kynurenine pathway, biogenic amine pathway coverage. All revealed highly significant differences metabolite patterns between controls (n = 89) that had been prior pandemic. The total number metabolites increased 344 out 1034 variables being common all classes. Metabolic signatures showed continuum changes across most extensive severely affected patients. Even mildly multiple abnormal biochemical reflecting serious deficiencies type observed Post-acute syndrome high mortality (56.1%) we found could predict this patient sub-group accuracy some cases up 61 days death, based on separate model, which highlighted set those defining basic disease. Specifically, hexosylceramides (HCER 16:0, HCER 20:0, 24:1, 26:0, 26:1) markedly elevated non-surviving group (Cliff's delta 0.91-0.95) two phosphoethanolamines (PE.O 18:0/18:1, Cliff's -0.98 PE.P 16:0/18:1, -0.93) lower non-survivors. results indicate morbidity trajectories is determined relatively soon after infection, opening opportunity select more intensive therapeutic interventions these "high risk" early stages.

Language: Английский

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Dysregulations in hemostasis, metabolism, immune response, and angiogenesis in post-acute COVID-19 syndrome with and without postural orthostatic tachycardia syndrome: a multi-omic profiling study

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: Nov. 19, 2023

Post-acute COVID-19 (PACS) are associated with cardiovascular dysfunction, especially postural orthostatic tachycardia syndrome (POTS). Patients PACS, both in the absence or presence of POTS, exhibit a wide range persisting symptoms long after acute infection. Some these may stem from alterations homeostasis, but exact mechanisms poorly understood. The aim this study was to provide broad molecular characterization patients PACS (PACS + POTS) and without (PACS-POTS) POTS compared healthy subjects, including proteomic focus on plasma cardiometabolic proteins, quantification cytokines/chemokines determination sphingolipid levels. Twenty-one subjects prior infection (mean age 43 years, 95% females), 20 non-hospitalized 39 females) 22 PACS-POTS 44 100% were studied. recruited ≈18 months Cardiometabolic analyses revealed dysregulation ≈200 out 700 analyzed proteins groups vs. majority (> 90%) being upregulated. There large overlap no major differences between groups. Gene ontology enrichment analysis hemostasis/coagulation, metabolism, immune responses, angiogenesis controls. Furthermore, 11 33 significantly upregulated controls none cytokines downregulated. cytokine Lastly, 16 19 88 sphingolipids dysregulated PACS-POTS, respectively, Collectively, observations suggest clear distinct proteome, cytokines/chemokines, levels any signature POTS. This enhances our understanding might pave way for future experimental clinical investigations elucidate and/or target resolution inflammation micro-clots restore hemostasis immunity PACS.

Language: Английский

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Identification of key genes associated with persistent immune changes and secondary immune activation responses induced by influenza vaccination after COVID-19 recovery by machine learning methods

Computers in Biology and Medicine, Journal Year: 2023, Volume and Issue: 169, P. 107883 - 107883

Published: Dec. 22, 2023

Language: Английский

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Plasma Proteomic Variables Related to COVID-19 Severity: An Untargeted nLC-MS/MS Investigation

International Journal of Molecular Sciences, Journal Year: 2023, Volume and Issue: 24(4), P. 3570 - 3570

Published: Feb. 10, 2023

Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) infection leads to a wide range of clinical manifestations and determines the need for personalized precision medicine. To better understand biological determinants this heterogeneity, we explored plasma proteome 43 COVID-19 patients with different outcomes by an untargeted liquid chromatography-mass spectrometry approach. The comparison between asymptomatic or pauci-symptomatic subjects (MILDs), hospitalised in oxygen support therapy (SEVEREs) highlighted 29 proteins emerged as differentially expressed: 12 overexpressed MILDs 17 SEVEREs. Moreover, supervised analysis based on decision-tree recognised three (Fetuin-A, Ig lambda-2chain-C-region, Vitronectin) that are able robustly discriminate two classes independently from stage. In silico functional annotation deregulated pinpointed several functions possibly related severity; no pathway was associated exclusively MILDs, while only SEVEREs, some both SEVEREs; SARS-CoV-2 signalling significantly enriched up-expressed SEVEREs (SAA1/2, CRP, HP, LRG1) (GSN, HRG). conclusion, our could provide key information 'proteomically' defining possible upstream mechanisms mediators triggering limiting domino effect immune-related response characterizing severe exacerbations.

Language: Английский

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Recent advances in nutritional metabolism studies on SARS-CoV-2 infection

Infectious Medicine, Journal Year: 2025, Volume and Issue: 4(1), P. 100162 - 100162

Published: Jan. 16, 2025

In the context of coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome 2 (SARS-CoV-2), metabolic research has become crucial for in-depth exploration viral infection mechanisms and in searching therapeutic strategies. This paper summarizes interrelationships between carbohydrate, lipid, amino acid metabolism COVID-19 infection, discussing their roles progression. SARS-CoV-2 leads to insulin resistance increased glycolysis, reducing glucose utilization shifting use fat as an energy source. Fat is replication, imbalances may interfere with immune regulation. Consequently, changes such hyperglycemia, hypolipidemia, deficiency certain acids following can contribute progression toward conditions. These pathways not only have potential value prediction diagnosis but also provide new perspectives development By monitoring changes, severity be predicted early, modulating these help reduce inflammatory responses, improve risk thrombosis. Research on relationship provides important scientific basis addressing global challenge posed COVID-19, however, further studies are needed validate findings more effective strategies control.

Language: Английский

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Mapping the knowledge of omics in myocardial infarction: A scientometric analysis in R Studio, VOSviewer, Citespace, and SciMAT

Medicine, Journal Year: 2025, Volume and Issue: 104(7), P. e41368 - e41368

Published: Feb. 14, 2025

Many researchers nowadays choose multi-omics techniques for myocardial infarction studies. However, there’s yet to be a review article integrating multi-omics. Hence, this study adopts the popular bibliometrics. Based on its principles, we use software like R Studio, Vosviewer, Citespace, and SciMAT analyze literature data of omics research (1991–2022) from Web Science. By extracting key information calculating weights, conduct analyses 4 aspects: Collaboration Network Analysis, Co-word Citing Cited Journal Co-citation Clustering aiming understand field’s cooperation, topic evolution, knowledge flow. The results show that is still in early stage with limited international cooperation. In terms flow, no significant difference within discipline, but non-biomedical disciplines have joined, indicating an interdisciplinary integration trend. overall field, genomics remains main many breakthroughs identifying susceptibility sites. Meanwhile, other fields lipidomics proteomics are also progressing, clarifying pathogenesis. cooperation details enable connect others, facilitating their research. evolution trend subject helps them set goals directions, quickly grasp development context, read relevant literature. analysis offers submission suggestions, base frontier provides references research’s future development.

Language: Английский

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