A5001056422- Metabolomics and Mass Spectrometry Studies
- Gut microbiota and health
- Mass Spectrometry Techniques and Applications
- Tryptophan and brain disorders
- Advanced Chemical Sensor Technologies
- Computational Drug Discovery Methods
- Analytical Chemistry and Chromatography
- Silymarin and Mushroom Poisoning
- Nutrition, Genetics, and Disease
- Fungal Biology and Applications
- Ginseng Biological Effects and Applications
- Pharmacogenetics and Drug Metabolism
- Diet and metabolism studies
- Bee Products Chemical Analysis
University of Liverpool
2020-2025
Systems Biology Institute
2021
Abstract Introduction The diagnosis of COVID-19 is normally based on the qualitative detection viral nucleic acid sequences. Properties host response are not measured but key in determining outcome. Although metabolic profiles well suited to capture state, most metabolomics studies either underpowered, measure only a restricted subset metabolites, compare infected individuals against uninfected control cohorts that suitably matched, or do provide compact predictive model. Objectives Here we...
The ‘inverse problem’ of mass spectrometric molecular identification (‘given a spectrum, calculate/predict the 2D structure molecule whence it came’) is largely unsolved, and especially acute in metabolomics where many small molecules remain unidentified. This because number experimentally available electrospray spectra quite limited. However, forward problem (‘calculate molecule’s likely fragmentation hence at least some its spectrum from alone’) much more tractable, strengths different...
Abstract Introduction It is widely but erroneously believed that drugs get into cells by passing through the phospholipid bilayer portion of plasma and other membranes. Much evidence shows, however, this not case, cross biomembranes hitchhiking on transporters for natural molecules to which these are structurally similar. Untargeted metabolomics can provide a method determining differential uptake such metabolites. Objectives Blood serum contains many thousands provides convenient source...
Abstract Background Accurately recognizing that a person may be dying is central to improving their experience of care at the end-of-life. However, predicting frequently inaccurate and often occurs only hours or few days before death. Methods We performed urinary metabolomics analysis on patients with lung cancer create metabolite model predict over last 30 life. Results Here we show model, using 7 metabolites, has excellent accuracy in Training cohort n = 112 (AUC 0·85, 0·88 0·86 5, 10, 20...
Abstract The diagnosis of COVID-19 is normally based on the qualitative detection viral nucleic acid sequences. Properties host response are not measured but key in determining outcome. Although metabolic profiles well suited to capture state, most metabolomics studies either underpowered, measure only a restricted subset metabolites, compare infected individuals against uninfected control cohorts that suitably matched, or do provide compact predictive model. Here we well-powered, untargeted...
Since the beginning of SARS-CoV-2 pandemic in December 2019 multiple metabolomics studies have proposed predictive biomarkers infection severity and outcome. Whilst some trends emerged, findings remain intangible uninformative when it comes to new patients.In this study, we accurately quantitate a subset compounds patient serum that were found outcome.A targeted LC-MS method was used 46 control 95 acute COVID-19 samples selected metabolites. These included tryptophan its degradation products...
Abstract The ‘inverse problem’ of mass spectrometric molecular identification (‘given a spectrum, calculate the molecule whence it came’) is largely unsolved, and especially acute in metabolomics where many small molecules remain unidentified. This because number experimentally available electrospray spectra quite limited. However, forward problem (‘calculate molecule’s likely fragmentation hence at least some its spectrum from structure alone’) much more tractable, strengths different...
The ‘inverse problem’ of mass spectrometric molecular identification (‘given a spectrum, calculate/predict the 2D structure molecule whence it came’) is largely unsolved, and especially acute in metabolomics where many small molecules remain unidentified. This because number experimentally available electrospray spectra quite limited. However, forward problem (‘calculate molecule’s likely fragmentation hence at least some its...
Ergothioneine (ERG) is a natural sulfur-containing amino acid found in many organisms, including humans. It accumulates at high concentrations red blood cells and distributed to various organs, the brain. ERG has numerous health benefits antioxidant capabilities, it been linked human physiological processes, such as anti-inflammatory, neuroprotective, anti-aging effects. Accurate, rapid, cost-effective quantification of levels biofluids crucial for understanding its role oxidative...
Abstract Introduction It is widely but erroneously believed that drugs get into cells by passing through the phospholipid bilayer portion of plasma and other membranes. Much evidence shows, however, this not case, cross biomembranes hitchhiking on transporters for natural molecules to which these are structurally similar. Untargeted metabolomics can provide a method determining differential uptake such metabolites. Objectives Blood serum contains many thousands provides convenient source...
INTRODUCTION Since the beginning of SARS-CoV-2 pandemic in December 2019 multiple metabolomics studies have proposed predictive biomarkers infection severity and outcome. Whilst some trends emerged, findings remain intangible uninformative when it comes to new patients. OBJECTIVES In this study, we accurately quantitate a subset compounds patient serum that were found METHODS A targeted LC-MS method was used 46 control 95 acute COVID-19 samples selected metabolites. These included tryptophan...
Background: Accurately recognising that a person may be dying is central for improving their experience of care. Yet difficult and predicting frequently inaccurate.Methods: Urine samples from patients (n=112 49, training validation cohorts, respectively)) with lung cancer were analysed using high resolution mass spectrometry. Cox lasso regression was engaged to develop multivariable model the probability survival within last 30 days life. ANOVA volcano plot analysis demonstrated metabolites...
Abstract INTRODUCTION Since the beginning of SARS-CoV-2 pandemic in December 2019 multiple metabolomics studies have proposed predictive biomarkers infection severity and outcome. Whilst some trends emerged, findings remain intangible uninformative when it comes to new patients. OBJECTIVES In this study, we accurately quantitate a subset compounds patient serum that were found METHODS A targeted LC-MS method was used 46 control 95 acute COVID-19 samples selected metabolites. These included...