Classifying patients with psoriatic arthritis according to their disease activity status using serum metabolites and machine learning
ConclusionSeveral lipids and other metabolites when combined in classifying models predict high disease activity from both low and moderate disease activity. Lipids of key interest included lysophosphatidylcholine and sphingomyelin. Quantitative MS assays based on selected reaction monitoring, are required to quantify the candidate biomarkers identified. (Source: Metabolomics)
Source: Metabolomics - January 24, 2024 Category: Biology Source Type: research
Metabolomic profiling of human bladder tissue extracts
ConclusionTo date, this is the first study in which bladder human normal tissues adjacent to cancerous tissues are analyzed using both NMR and MS method. These findings suggest that the metabolite markers identified in this study may be useful for the detection and monitoring of bladder cancer stages and grades. (Source: Metabolomics)
Source: Metabolomics - January 24, 2024 Category: Biology Source Type: research
Metabolomic data presents challenges for epidemiological meta-analysis: a case study of childhood body mass index from the ECHO consortium
ConclusionsDespite including three cohorts with large sample sizes (N > 100), we failed to identify significant metabolite associations after FDR correction. Our investigation demonstrates difficulties in applying epidemiological meta-analysis to clinical metabolomics, emphasizes challenges to reproducibility, and highlights the need for standardized best practices i n metabolomic epidemiology. (Source: Metabolomics)
Source: Metabolomics - January 24, 2024 Category: Biology Source Type: research
Challenges and perspectives for naming lipids in the context of lipidomics
ConclusionHomogenising this identification and adopting the same rules is essential to be able to share data within the community and to map data on functional networks. (Source: Metabolomics)
Source: Metabolomics - January 24, 2024 Category: Biology Source Type: research
Serum metabolic signatures for Alzheimer ’s Disease reveal alterations in amino acid composition: a validation study
ConclusionsOur proposed panel of metabolites was successfully validated using a combined approach of NMR and sPLS-DA. It was discovered that cognitive-impairment-related metabolites belong to BCAAs and are involved in energy metabolism. (Source: Metabolomics)
Source: Metabolomics - January 5, 2024 Category: Biology Source Type: research
Plasma lipidomic profiling reveals six candidate biomarkers for the prediction of incident stroke in patients with hypertension
ConclusionsWe determined lipidomic signatures associated with future stroke development and identified new lipid biomarkers for predicting stroke in patients with hypertension. The biomarkers have translational potential and thus may serve as blood-based biomarkers for predicting hypertensive stroke. (Source: Metabolomics)
Source: Metabolomics - January 5, 2024 Category: Biology Source Type: research
Serum metabolic signatures for Alzheimer ’s Disease reveal alterations in amino acid composition: a validation study
ConclusionsOur proposed panel of metabolites was successfully validated using a combined approach of NMR and sPLS-DA. It was discovered that cognitive-impairment-related metabolites belong to BCAAs and are involved in energy metabolism. (Source: Metabolomics)
Source: Metabolomics - January 5, 2024 Category: Biology Source Type: research
A lipidomic and metabolomic signature of a very low-carbohydrate high-fat diet and high-intensity interval training: an additional analysis of a randomized controlled clinical trial
ConclusionsThis study deciphers the specific responses to a VLCHF diet, HIIT and their combination by analysing untargeted lipidomic and metabolomic profile. VLCHF diet caused divergent changes of plasma lipids and other metabolites when compared to the exercise and control group which may contribute to a better understanding of metabolic changes and the appraisal of VLCHF diet benefits and harms.Clinical Trial Registry numberNCT03934476, registered 1st May 2019https://clinicaltrials.gov/ct2/show/NCT03934476?term=NCT03934476&draw=2&rank=1. (Source: Metabolomics)
Source: Metabolomics - December 23, 2023 Category: Biology Source Type: research
Extended automated quantification algorithm (AQuA) for targeted 1H NMR metabolomics of highly complex samples: application to plant root exudates
ConclusionsThe extended AQuA is an automated quantification method intended for 1D-1H NMR spectra containing broad background signals and baseline distortions. Although the method was developed for plant root exudates, it should be readily applicable to any NMR spectra displaying similar issues as it is purely computational and applied to NMR spectra post-acquisition. (Source: Metabolomics)
Source: Metabolomics - December 23, 2023 Category: Biology Source Type: research
A lipidomic and metabolomic signature of a very low-carbohydrate high-fat diet and high-intensity interval training: an additional analysis of a randomized controlled clinical trial
ConclusionsThis study deciphers the specific responses to a VLCHF diet, HIIT and their combination by analysing untargeted lipidomic and metabolomic profile. VLCHF diet caused divergent changes of plasma lipids and other metabolites when compared to the exercise and control group which may contribute to a better understanding of metabolic changes and the appraisal of VLCHF diet benefits and harms.Clinical Trial Registry numberNCT03934476, registered 1st May 2019https://clinicaltrials.gov/ct2/show/NCT03934476?term=NCT03934476&draw=2&rank=1. (Source: Metabolomics)
Source: Metabolomics - December 23, 2023 Category: Biology Source Type: research
Extended automated quantification algorithm (AQuA) for targeted 1H NMR metabolomics of highly complex samples: application to plant root exudates
ConclusionsThe extended AQuA is an automated quantification method intended for 1D-1H NMR spectra containing broad background signals and baseline distortions. Although the method was developed for plant root exudates, it should be readily applicable to any NMR spectra displaying similar issues as it is purely computational and applied to NMR spectra post-acquisition. (Source: Metabolomics)
Source: Metabolomics - December 23, 2023 Category: Biology Source Type: research
Distinct emissions of biogenic volatile organic compounds from temperate benthic taxa
ConclusionShifts in benthic community composition could disproportionately impact local marine chemistry and affect how ecosystems contribute to broader BVOC emissions. (Source: Metabolomics)
Source: Metabolomics - December 22, 2023 Category: Biology Source Type: research
Performance evaluate of different chemometrics formalisms used for prostate cancer diagnosis by NMR-based metabolomics
ConclusionThe results show that the pick of a proper feature selection method and classification model, and a resampling method can avoid overfitting in a small metabolomic dataset. Furthermore, this approach would decrease the number of biopsies and optimize patient follow-up.1H NMR-based metabolomics promises to be a non-invasive tool in prostate cancer diagnosis. (Source: Metabolomics)
Source: Metabolomics - December 21, 2023 Category: Biology Source Type: research
