From Complexity to Clarity: Expanding Metabolome Coverage With Innovative Analytical Strategies

Journal of Separation Science, Journal Year: 2025, Volume and Issue: 48(2)

Published: Feb. 1, 2025

ABSTRACT Metabolomics, a powerful discipline within systems biology, aims at comprehensive profiling of small molecules in biological samples. The challenges sample complexity are addressed through innovative preparation methods, including solid‐phase extraction and microextraction techniques, enhancing the detection quantification low‐abundance metabolites. Advances chromatographic separation, particularly liquid chromatography (LC) gas (GC), coupled with high‐resolution (HR) mass spectrometry (MS), have significantly improved sensitivity, selectivity, throughput metabolomic studies. Cutting‐edge such as ion‐mobility (IM‐MS) tandem MS (MS/MS), further expand capacity for metabolite profiling. These advanced analytical platforms each offer unique advantages metabolomics, continued technological improvements driving deeper insights into metabolic pathways biomarker discovery. By providing detailed overview current trends this review to valuable future metabolomics human health research its translational potential clinical settings. Toward end, also highlights biomedical applications emphasizing role discovery, disease diagnostics, personalized medicine, drug development.

Language: Английский

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Lipidomics and cardiovascular disease

Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Journal Year: 2025, Volume and Issue: unknown, P. 167806 - 167806

Published: March 1, 2025

Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide, necessitating innovative approaches for early detection and personalized interventions. Lipidomics, leveraging advanced mass spectrometry techniques, has become instrumental in deciphering lipid-mediated mechanisms CVDs. This review explores application lipidomics identifying biomarkers myocardial infarction, heart failure, stroke, calcific aortic valve stenosis (CAVS). examines technological advancements shotgun LC/MS, which provide unparalleled insights into lipid composition function. Key biomarkers, including ceramides lysophospholipids, have been linked to disease progression therapeutic outcomes. Integrating with genomic proteomic data reveals molecular underpinnings CVDs, enhancing risk prediction intervention strategies. positions as a transformative tool reshaping cardiovascular research clinical practice.

Language: Английский

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Advances in Metabolomics: A Comprehensive Review of Type 2 Diabetes and Cardiovascular Disease Interactions

International Journal of Molecular Sciences, Journal Year: 2025, Volume and Issue: 26(8), P. 3572 - 3572

Published: April 10, 2025

Type 2 diabetes (T2D) and cardiovascular diseases (CVDs) are major public health challenges worldwide. Metabolomics, the exhaustive assessment of metabolites in biological systems, offers important insights regarding metabolic disturbances related to these disorders. Recent advances toward integration metabolomics into clinical practice facilitate discovery novel biomarkers that can improve diagnosis, prognosis, treatment T2D CVDs discussed this review. Metabolomics potential characterize key alterations associated with disease pathophysiology treatment. is a heterogeneous develops through diverse pathophysiological processes molecular mechanisms; therefore, disease-causing pathways not completely understood. studies have identified several robust clusters variants representing biologically meaningful, distinct pathways, such as beta cell proinsulin cluster pancreatic insulin secretion, obesity, lipodystrophy, liver/lipid cluster, glycemia, blood pressure, syndrome different causing resistance. Regarding CVDs, recent allowed metabolomic profile delineate contribute atherosclerosis heart failure, well development targeted therapy. This review also covers role integrated genomics other omics platforms better understand mechanisms, along transition precision medicine. further investigates use multi-metabolite modeling enhance risk prediction models for predicting first occurrence adverse events among individuals T2D, highlighting value approaches optimizing preventive therapeutic used practice.

Language: Английский

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Unravelling disease complexity: integrative analysis of multi-omic data in clinical research

Expert Review of Proteomics, Journal Year: 2025, Volume and Issue: unknown

Published: April 10, 2025

A holistic view on biological systems is today a reality with the application of multi-omic technologies. These technologies allow profiling genome, epigenome, transcriptome, proteome, metabolome as well newly emerging 'omes.' While multiple layers data accumulate, their integration and reconciliation in single system map cumbersome exercise that faces many challenges. Application to human health disease requires large sample size, robust methodologies high-quality standards. We review different methods used integrate multi-omics, recent ones including artificial intelligence. With proteomics an anchor technology, we then present selected applications its combination other omics' clinical research, mainly covering literature from last five years Scopus and/or PubMed databases. Multi-omics powerful comprehensively type molecular link them phenotype. Yet, are very diverse still strategies properly these modalities needed.

Language: Английский

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