Metabolites, Journal Year: 2023, Volume and Issue: 13(2), P. 282 - 282
Published: Feb. 15, 2023
Metabolite identification in untargeted metabolomics is complex, with the risk of false positive annotations. This work aims to use machine learning successively predict retention time (Rt) and collision cross-section (CCS) an open-access database accelerate interpretation metabolomic results. Standards metabolites were tested using liquid chromatography coupled high-resolution mass spectrometry. In CCSBase QSRR predictor models, experimental results used generate predicted CCS Rt Human Metabolome Database. From 542 standards, 266 301 compounds detected negative electrospray ionization mode, respectively, corresponding 380 different metabolites. then tools for almost 114,000 R2 score linear regression between measured data achieved 0.938 0.898 Rt, demonstrating models' reliability. A index filter mean error ± 2 standard deviations could remove most misidentifications. Its application generated from a toxicology study on tobacco cigarettes reduced hits by 76%. Regarding volume produced metabolomics, practical workflow provided allows implementation valuable large-scale databases improve biological data.
Language: Английский
Citations
14Applied Sciences, Journal Year: 2024, Volume and Issue: 14(12), P. 5147 - 5147
Published: June 13, 2024
With a view to understand and resolve the complexity of food matrix, omic technologies alone or in combination are extensively employed. In this sense, newest developments advances proteomics, metabolomics lipidomics with their unique benefits could simplify help link between physiological pathological activities biology, physiology, pathology science processing. This review aims briefly introduce basis lipidomics, then expansively impact on assessment meat quality safety. Here, also, we discuss application for authentication adulteration derivatives from different sources provide some perspectives regarding use emerging techniques such as rapid mass spectrometry (MS) non-invasive measurements analysis paper summarizes all significant investigations into these matters underlines analytical chemistry areas. By emphasizing requirement additional examinations, attempts comprehensive knowledge “foodomics” potential improve its employment science.
Language: Английский
Citations
4Metabolites, Journal Year: 2025, Volume and Issue: 15(1), P. 60 - 60
Published: Jan. 16, 2025
Purpose: Immunodeficiency conditions, which are characterized by reduced immune activity that promotes the development of chronic diseases, needed for efficient monitoring. A promising area monitoring and early diagnosis immunodeficiency diseases is determination metabolic biomarkers in blood. Methods: In this work, we identified a set lipid states performing high-performance liquid chromatography–high-resolution mass spectrometry (HPLC-HRMS) analysis blood plasma samples from mice processing them with bioinformatics approaches. Potential were selected through statistical further validated MS/MS. Conclusions: As result, 15 lipids confirmed as potential states. The can be studied serve targets diseases.
Language: Английский
Citations
0Electronic Journal of Biotechnology, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 1, 2025
Language: Английский
Citations
0Current Pharmacology Reports, Journal Year: 2025, Volume and Issue: 11(1)
Published: Feb. 6, 2025
In this review article, specific emphasis is on evolution of metabolomics in cancer research, workflow, general understanding liquid chromatography - mass spectrometry (LC-MS) based platform for quantitation metabolites, their biological interpretation and the application carcinogenesis prevention by dietary phytochemicals. Metabolomics increasingly becoming a preferred approach next generation metabolic screening has profound impact medical practice. describes end products biochemical processes which are greatly influenced genetic environmental factors. Metabolic alterations can be linked to potential reactions/enzymes corresponding genes. Thus, these results further validated via multi-omics including genomics, transcriptomics proteomics. However, challenges exist within between omic-domain data integration considering complex regulation organism versus tissue cellular level processes, epigenetics, transcriptional post translational modifications. reflect steady state or dynamic metabolism because metabolites highly space time. Metabolomic analysis samples exhibit possibility determine mechanism action anti-cancer agents, biomarker discovery alterations.
Language: Английский
Citations
0Expert Review of Proteomics, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 9, 2025
Introduction Exogenous Cushing's syndrome is the result of long-term exposure to glucocorticoids, while endogenous occurs due excessive production glucocorticoids within body. remains a diagnostic challenge for treating physician.Mass spectrometry, with its better resolution, detectability and specificity, paved way understanding cellular molecular mechanisms involved in several diseases that facilitated evolution biomarkers personalized medicine, which can be applicable manage as well.
Language: Английский
Citations
0TrAC Trends in Analytical Chemistry, Journal Year: 2025, Volume and Issue: unknown, P. 118190 - 118190
Published: Feb. 1, 2025
Language: Английский
Citations
0Phytomedicine, Journal Year: 2025, Volume and Issue: 140, P. 156631 - 156631
Published: March 7, 2025
Sjögren's syndrome (SS) is a complicated autoimmune disorder, encompassing multifaceted pathogenesis of inflammatory response, immune dysregulation and metabolic abnormalities. Shaoteng Decoction (STD) type traditional Chinese medicine preparation that has been shown to effectively improve damage dysfunction in patients with SS. Nevertheless, the exact mechanism not unspecified. This work aims determine STD treatment on SS, identifying potential therapeutic targets their relationships. Non-obese diabetic mice served as disease model. study analyzes signaling pathways for SS through network pharmacology, assesses role reducing using pathological staining, ELISA, immunohistochemistry. Additionally, apply gut microbiota, metabolomics, proteomics analyses identify key metabolites proteins, aiming find action STD. We use Western blotting immunohistochemistry verify authenticity relevant interactions among metabolites, proteins. Proteobacteria important intestinal bacteria, Bile Acid Biosynthesis main pathway, IfI30, Ndufv3, Ndufs6 are crucial differential expressed Moreover, there strong correlation three. treats by abundance Proteobacteria, increasing Biosynthesis, decreasing IfI30 expression, expression Ndufv3 Ndufs6. inhibits responses, improves energy metabolism abnormalities, prevents progression regulating enhancing modulating proteins levels.
Language: Английский
Citations
0Cells, Journal Year: 2025, Volume and Issue: 14(6), P. 402 - 402
Published: March 10, 2025
Metabolic reprogramming is a hallmark of cancer, with cancer cells acquiring many unique metabolic traits to support malignant growth, and extensive intra- inter-tumour heterogeneity. Understanding these characteristics presents opportunities in precision medicine for both diagnosis therapy. However, despite its potential, phenotyping has lagged behind genetic, transcriptomic, immunohistochemical profiling clinical applications. This partly due the lack single experimental technique capable entire metabolome, necessitating use multiple technologies approaches capture full range plasticity. review examines repertoire tools available metabolism, demonstrating their applications preclinical settings. It also case studies illustrating how metabolomic been integrated other omics gain insights into tumour biology guide treatment strategies. information aims assist researchers selecting most effective highlights importance combining different techniques comprehensively understand metabolism.
Language: Английский
Citations
0Current Allergy and Asthma Reports, Journal Year: 2025, Volume and Issue: 25(1)
Published: May 9, 2025
Abstract Purpose of Review The aim our review is to summarize the available literature where metabolomics was used in studies on childhood asthma, and find metabolites that are diagnostic biomarker candidates asthma. Moreover, also describes related metabo-endotypes heterogeneity severity disease, response drug treatment. Recent Findings Metabolomics has opened up new perspectives asthma investigation. Based literature, we found nine demonstrated highest potential for differentiation between children with healthy controls: adenine, adenosine, benzoic acid, hypoxanthine, p-cresol, taurocholate, threonine, tyrosine, 1-methyl nicotinamide. Many identified closely associated inflammatory processes responsible Metabolomic analysis contributed characterizing endotypes highlighting pediatric Summary can bring about valuable insights, which, when integrated other omic disciplines, facilitate diagnosis management search biomarkers disease. Improvements detection preschool children, including endotypes, will ease application proper treatment enable elimination unnecessary test corticosteroids young patients.
Language: Английский
Citations
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