LipidSIM: Inferring mechanistic lipid biosynthesis perturbations from lipidomics with a flexible, low-parameter, Markov modeling framework DOI

Chenguang Liang,

Sue Murray, Yang Li

et al.

Metabolic Engineering, Journal Year: 2024, Volume and Issue: 82, P. 110 - 122

Published: Feb. 2, 2024

Language: Английский

Metabolomics as a powerful tool for diagnostic, pronostic and drug intervention analysis in COVID-19 DOI Creative Commons
Chiara Bruzzone, Ricardo Conde, Nieves Embade

et al.

Frontiers in Molecular Biosciences, Journal Year: 2023, Volume and Issue: 10

Published: Feb. 15, 2023

COVID-19 currently represents one of the major health challenges worldwide. Albeit its infectious character, with onset affectation mainly at respiratory track, it is clear that pathophysiology has a systemic ultimately affecting many organs. This feature enables possibility investigating SARS-CoV-2 infection using multi-omic techniques, including metabolomic studies by chromatography coupled to mass spectrometry or nuclear magnetic resonance (NMR) spectroscopy. Here we review extensive literature on metabolomics in COVID-19, unraveled aspects disease including: characteristic metabotipic signature associated discrimination patients according severity, effect drugs and vaccination treatments characterization natural history metabolic evolution disease, from full recovery long-term long sequelae COVID.

Language: Английский

Citations

31

An integrated analysis and comparison of serum, saliva and sebum for COVID-19 metabolomics DOI Creative Commons
Matt Spick, Holly-May Lewis,

Cécile Frampas

et al.

Scientific Reports, Journal Year: 2022, Volume and Issue: 12(1)

Published: July 13, 2022

The majority of metabolomics studies to date have utilised blood serum or plasma, biofluids that do not necessarily address the full range patient pathologies. Here, correlations between metabolites, salivary metabolites and sebum lipids are studied for first time. 83 COVID-19 positive negative hospitalised participants provided alongside saliva samples analysis by liquid chromatography mass spectrometry. Widespread alterations serum-sebum lipid relationships were observed in versus controls. There was also a marked correlation immunostimulatory hormone dehydroepiandrosterone sulphate cohort. analysed herein compared terms their ability differentiate from controls; performed best multivariate (sensitivity specificity 0.97), with dominant changes triglyceride bile acid levels, concordant other identifying dyslipidemia as hallmark infection. Sebum well 0.92; 0.84), performing worst 0.78; 0.83). These findings show skin profiles coincide dyslipidaemia serum. work signposts potential integrated biofluid analyses provide insight into whole-body atlas pathophysiological conditions.

Language: Английский

Citations

30

Simultaneous Quantitation and Discovery (SQUAD) Analysis: Combining the Best of Targeted and Untargeted Mass Spectrometry-Based Metabolomics DOI Creative Commons
Bashar Amer, Rahul Deshpande,

Susan S. Bird

et al.

Metabolites, Journal Year: 2023, Volume and Issue: 13(5), P. 648 - 648

Published: May 10, 2023

Untargeted and targeted approaches are the traditional metabolomics workflows acquired for a wider understanding of metabolome under focus. Both have their strengths weaknesses. The untargeted, example, is maximizing detection accurate identification thousands metabolites, while linear dynamic range quantification sensitivity. These workflows, however, separately, so researchers compromise either low-accuracy overview total molecular changes (i.e., untargeted analysis) or detailed yet blinkered snapshot selected group metabolites by selecting one over other. In this review, we present novel single injection simultaneous quantitation discovery (SQUAD) that combines workflows. It used to identify accurately quantify set metabolites. also allows data retro-mining look global metabolic were not part original This offers way strike balance between in experiment address two approaches’ limitations. acquisition hypothesis-led discovery-led datasets scientists gain more knowledge about biological systems experiment.

Language: Английский

Citations

22

Metabolomics Markers of COVID-19 Are Dependent on Collection Wave DOI Creative Commons
Holly-May Lewis, Yufan Liu,

Cécile Frampas

et al.

Metabolites, Journal Year: 2022, Volume and Issue: 12(8), P. 713 - 713

Published: July 30, 2022

The effect of COVID-19 infection on the human metabolome has been widely reported, but to date all such studies have focused a single wave infection. generated numerous waves disease with different clinical presentations, and therefore it is pertinent explore whether metabolic disturbance changes accordingly, gain better understanding its impact host metabolism enable treatments. This work used targeted metabolomics platform (Biocrates Life Sciences) analyze serum 164 hospitalized patients, 123 confirmed positive RT-PCR tests 41 providing negative tests, across two Seven COVID-19-positive patients also provided longitudinal samples 2–7 months after Changes metabolites lipids between were found be dependent collection wave. A machine learning model identified six that robust in diagnosing both infection: TG (22:1_32:5), (18:0_36:3), glutamic acid (Glu), glycolithocholic (GLCA), aspartic (Asp) methionine sulfoxide (Met-SO), an accuracy 91%. Although some (TG (18:0_36:3) Asp) returned normal infection, was still dysregulated samples. demonstrates, for first time, dysregulation partially changed over course pandemic, reflecting variants, presentation treatment regimes. It shows are waves, these can differentiate individuals from controls hospital setting. research supports hypothesis pathways disrupted several

Language: Английский

Citations

25

Dynamic modulations of sphingolipids and glycerophospholipids in COVID‐19 DOI Creative Commons
Makoto Kurano, Koh Okamoto, Daisuke Jubishi

et al.

Clinical and Translational Medicine, Journal Year: 2022, Volume and Issue: 12(10)

Published: Oct. 1, 2022

Abstract Background A heterogeneous clinical phenotype is a characteristic of coronavirus disease 2019 (COVID‐19). Therefore, investigating biomarkers associated with severity important for understanding the mechanisms responsible this heterogeneity and developing novel agents to prevent critical conditions. This study aimed elucidate modulations sphingolipids glycerophospholipids, which have been shown possess potent biological properties. Methods We measured serum sphingolipid glycerophospholipid levels in total 887 samples from 215 COVID‐19 subjects, plus 115 control subjects without infectious diseases 109 other than COVID‐19. Results observed dynamic glycerophospholipids depending on time course severity. The elevation C16:0 ceramide lysophosphatidylinositol decreases C18:1 ceramide, dihydrosphingosine, lysophosphatidylglycerol, phosphatidylglycerol phosphatidylinositol were specific Regarding association maximum severity, phosphatidylcholine species long unsaturated acyl chains negatively associated, while lysophosphatidylethanolamine phosphatidylethanolamine positively during early phase. Lysophosphatidylcholine had strong negative correlations CRP, positive ones. lysophosphatidylcholine, D‐dimer, short Several phosphatidylcholine, sphingomyelin might serve as better predicting severe phase CRP D‐dimer. Compared lipid seen mice treated lipopolysaccharide, tissue factor, or histone, most akin those administered lipopolysaccharide. Conclusion disturbances will prompt further investigation develop laboratory testing and/or suppress aggravation

Language: Английский

Citations

23

Oligosaccharides as Potential Regulators of Gut Microbiota and Intestinal Health in Post-COVID-19 Management DOI Creative Commons
Kit‐Leong Cheong, Shutong Chen, Bo Teng

et al.

Pharmaceuticals, Journal Year: 2023, Volume and Issue: 16(6), P. 860 - 860

Published: June 9, 2023

The COVID-19 pandemic has had a profound impact worldwide, resulting in long-term health effects for many individuals. Recently, as more and people recover from COVID-19, there is an increasing need to identify effective management strategies post-COVID-19 syndrome, which may include diarrhea, fatigue, chronic inflammation. Oligosaccharides derived natural resources have been shown prebiotic effects, emerging evidence suggests that they also immunomodulatory anti-inflammatory could be particularly relevant mitigating the of COVID-19. In this review, we explore potential oligosaccharides regulators gut microbiota intestinal management. We discuss complex interactions between microbiota, their functional metabolites, such short-chain fatty acids, immune system, highlighting improve manage syndrome. Furthermore, review with angiotensin-converting enzyme 2 expression alleviating Therefore, offer safe, natural, approach potentially improving health, overall outcomes

Language: Английский

Citations

14

Integrated microbiome and metabolome analysis reveals the potential therapeutic mechanism of Qing-Fei-Pai-Du decoction in mice with coronavirus-induced pneumonia DOI Creative Commons
Gaosong Wu,

Wendan Zhang,

Ningning Zheng

et al.

Frontiers in Cellular and Infection Microbiology, Journal Year: 2022, Volume and Issue: 12

Published: Aug. 26, 2022

Current studies have shown that gut microbiota may be closely related to the severity of coronavirus disease 2019 (COVID-19) by regulating host immune response. Qing-Fei-Pai-Du decoction (QFPDD) is recommended drug for clinical treatment patients with COVID-19 in China, but whether it exerts a therapeutic effect modulating response through remains unclear. In this study, we evaluated effects QFPDD pneumonia model mice and performed 16S rRNA sequencing serum lung tissue metabolomic analysis explore underlying mechanisms during treatment. Then, Spearman correlation was on microbiome, metabolome, immune-inflammation-related indicators. Our results suggest can restore richness diversity microbiota, multiple (including Alistipes , Odoribacter Staphylococcus Lachnospiraceae_NK4A136_group Enterorhabdus unclassified_f_Lachnospiraceae ) are significantly associated addition, various types lipid metabolism changes were observed especially glycerophospholipids fatty acids. A total 27 differential metabolites (DMs) correlated indicators, including 9 glycerophospholipids, 7 acids, 3 linoleic acid, 2 eicosanoids, amino bile others. Interestingly, these DMs showed good affected QFPDD. The above improve function reduce inflammation remodeling metabolism.

Language: Английский

Citations

19

Combining Semi-Targeted Metabolomics and Machine Learning to Identify Metabolic Alterations in the Serum and Urine of Hospitalized Patients with COVID-19 DOI Creative Commons
Gerard Baiges‐Gayà, Simona Iftimie, Helena Castañé

et al.

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

Citations

13

COVID-19, Blood Lipid Changes, and Thrombosis DOI Creative Commons

Akhlaq A. Farooqui,

Tahira Farooqui,

Grace Y. Sun

et al.

Biomedicines, Journal Year: 2023, Volume and Issue: 11(4), P. 1181 - 1181

Published: April 15, 2023

Although there is increasing evidence that oxidative stress and inflammation induced by COVID-19 may contribute to increased risk severity of thromboses, the underlying mechanism(s) remain be understood. The purpose this review highlight role blood lipids in association with thrombosis events observed patients. Among different types phospholipases A2 target cell membrane phospholipids, focus on inflammatory secretory phospholipase IIA (sPLA2-IIA), which associated COVID-19. Analysis indicates sPLA2-IIA levels together eicosanoids sera COVID sPLA2 could metabolise phospholipids platelets, erythrocytes, endothelial cells produce arachidonic acid (ARA) lysophospholipids. Arachidonic platelets metabolised prostaglandin H2 thromboxane A2, known for their pro-coagulation vasoconstrictive properties. Lysophospholipids, such as lysophosphatidylcholine, autotaxin (ATX) further converted lysophosphatidic (LPA). Increased ATX has been found serum patients COVID-19, LPA recently induce NETosis, a clotting mechanism triggered release extracellular fibres from neutrophils key feature hypercoagulable state. PLA2 also catalyse formation platelet activating factor (PAF) ether phospholipids. Many above lipid mediators are Together, findings analyses suggest an important metabolites COVID-19-associated coagulopathy (CAC).

Language: Английский

Citations

13

Advancements in Mass Spectrometry-Based Targeted Metabolomics and Lipidomics: Implications for Clinical Research DOI Creative Commons
Nguyen Ky Anh,

Nguyen Quang Thu,

Nguyen Tran Nam Tien

et al.

Molecules, Journal Year: 2024, Volume and Issue: 29(24), P. 5934 - 5934

Published: Dec. 16, 2024

Targeted metabolomics and lipidomics are increasingly utilized in clinical research, providing quantitative comprehensive assessments of metabolic profiles that underlie physiological pathological mechanisms. These approaches enable the identification critical metabolites alterations essential for accurate diagnosis precision treatment. Mass spectrometry, combination with various separation techniques, offers a highly sensitive specific platform implementing targeted settings. Nevertheless, challenges persist areas such as sample collection, quantification, quality control, data interpretation. This review summarizes recent advances lipidomics, emphasizing their applications research. Advancements, including microsampling, dynamic multiple reaction monitoring, integration ion mobility mass highlighted. Additionally, discusses importance standardization harmonization successful implementation.

Language: Английский

Citations

4