Mass spectrometry-based metabolomic as a powerful tool to unravel the component and mechanism in TCM DOI Creative Commons

Guangqin Liao,

Hongmei Tang,

Yuandi Yu

et al.

Chinese Medicine, Journal Year: 2025, Volume and Issue: 20(1)

Published: May 12, 2025

Abstract Mass spectrometry (MS)-based metabolomics has emerged as a transformative tool to unraveling components and their mechanisms in traditional Chinese medicine (TCM). The integration of advanced analytical platforms, such LC–MS GC–MS, coupled with metabolomics, propelled the qualitative quantitative characterization TCM’s complex components. This review comprehensively examines applications MS-based elucidating TCM efficacy, spanning chemical composition analysis, molecular target identification, mechanism-of-action studies, syndrome differentiation. Recent innovations functional spatial single-cell metabolic flux analysis have further expanded research horizons. Artificial intelligence (AI) bioinformatics offer promising avenues for overcoming bottlenecks, enhancing database standardization, driving interdisciplinary breakthroughs. However, challenges remain, including need improved data processing expansion, understanding metabolite-gene-protein interactions. By addressing these gaps, can bridge practices modern biomedical research, fostering global acceptance TCM. highlights synergy MS techniques, computational tools, holistic philosophy, presenting forward-looking perspective on its clinical translation internationalization.

Language: Английский

AI in analytical chemistry: Advancements, challenges, and future directions DOI
Rafael Cardoso Rial

Talanta, Journal Year: 2024, Volume and Issue: 274, P. 125949 - 125949

Published: March 19, 2024

Language: Английский

Citations

32
Mass spectrometry imaging for spatially resolved multi-omics molecular mapping DOI Creative Commons
Hua Zhang,

K. Lu,

Malik Ebbini

et al.

npj Imaging, Journal Year: 2024, Volume and Issue: 2(1)

Published: July 17, 2024

Abstract The recent upswing in the integration of spatial multi-omics for conducting multidimensional information measurements is opening a new chapter biological research. Mapping landscape various biomolecules including metabolites, proteins, nucleic acids, etc., and even deciphering their functional interactions pathways believed to provide more holistic nuanced exploration molecular intricacies within living systems. Mass spectrometry imaging (MSI) stands as forefront technique spatially mapping metabolome, lipidome, proteome diverse tissue cell samples. In this review, we offer systematic survey delineating different MSI techniques resolved analysis, elucidating principles, capabilities, limitations. Particularly, focus on advancements methodologies aimed at augmenting sensitivity specificity MSI; depict burgeoning MSI-based metabolomics, lipidomics, proteomics, encompassing synergy with other modalities. Furthermore, speculative insights into potential trajectory technology future.

Language: Английский

Citations

19
Rescoring Peptide Spectrum Matches: Boosting Proteomics Performance by Integrating Peptide Property Predictors into Peptide Identification DOI Creative Commons
Mostafa Kalhor, Joel Lapin, Mario Picciani

et al.

Molecular & Cellular Proteomics, Journal Year: 2024, Volume and Issue: 23(7), P. 100798 - 100798

Published: June 12, 2024

Language: Английский

Citations

9
Advancing Clinical Liquid Chromatography-Mass Spectrometry Analysis: Rational Design and Optimization of Derivatization Techniques for Enhanced Sensitivity and Throughput DOI Creative Commons
Hua‐Ming Xiao, А. З. Темердашев, Na An

et al.

Journal of Chromatography Open, Journal Year: 2025, Volume and Issue: unknown, P. 100215 - 100215

Published: March 1, 2025

Language: Английский

Citations

0
Advancing clinical biochemistry: addressing gaps and driving future innovations DOI Creative Commons

Haiou Cao,

Felix Oghenemaro Enwa,

Amaliya Latypova

et al.

Frontiers in Medicine, Journal Year: 2025, Volume and Issue: 12

Published: April 8, 2025

Modern healthcare depends fundamentally on clinical biochemistry for disease diagnosis and therapeutic guidance. The discipline encounters operational constraints, including sampling inefficiencies, precision limitations, expansion difficulties. Recent advancements in established technologies, such as mass spectrometry the development of high-throughput screening point-of-care are revolutionizing industry. biosensor technology wearable monitors facilitate continuous health tracking, Artificial Intelligence (AI)/machine learning (ML) applications enhance analytical capabilities, generating predictive insights individualized treatment protocols. However, concerns regarding algorithmic bias, data privacy, lack transparency decision-making ("black box" models), over-reliance automated systems pose significant challenges that must be addressed responsible AI integration. limitations remain-substantial implementation expenses, system incompatibility issues, information security vulnerabilities intersect with ethical considerations fairness protected information. Addressing these demands coordinated efforts between clinicians, scientists, technical specialists. This review discusses current biochemistry, explicitly addressing reference intervals barriers to implementing innovative biomarkers medical settings. discussion evaluates how advanced technologies multidisciplinary collaboration can overcome constraints while identifying research priorities diagnostic accessibility better delivery.

Language: Английский

Citations

0
Untargeted metabolomics HRMS data processing using regions of interest and multivariate curve resolution approaches to unveil health-to-disease transition DOI Creative Commons
Luísa Barreiros, Benedita Sampaio‐Maia, Inês S. Alencastre

et al.

Microchemical Journal, Journal Year: 2025, Volume and Issue: unknown, P. 113737 - 113737

Published: April 1, 2025

Language: Английский

Citations

0
Mass spectrometry-based metabolomic as a powerful tool to unravel the component and mechanism in TCM DOI Creative Commons

Guangqin Liao,

Hongmei Tang,

Yuandi Yu

et al.

Chinese Medicine, Journal Year: 2025, Volume and Issue: 20(1)

Published: May 12, 2025

Abstract Mass spectrometry (MS)-based metabolomics has emerged as a transformative tool to unraveling components and their mechanisms in traditional Chinese medicine (TCM). The integration of advanced analytical platforms, such LC–MS GC–MS, coupled with metabolomics, propelled the qualitative quantitative characterization TCM’s complex components. This review comprehensively examines applications MS-based elucidating TCM efficacy, spanning chemical composition analysis, molecular target identification, mechanism-of-action studies, syndrome differentiation. Recent innovations functional spatial single-cell metabolic flux analysis have further expanded research horizons. Artificial intelligence (AI) bioinformatics offer promising avenues for overcoming bottlenecks, enhancing database standardization, driving interdisciplinary breakthroughs. However, challenges remain, including need improved data processing expansion, understanding metabolite-gene-protein interactions. By addressing these gaps, can bridge practices modern biomedical research, fostering global acceptance TCM. highlights synergy MS techniques, computational tools, holistic philosophy, presenting forward-looking perspective on its clinical translation internationalization.

Language: Английский

Citations

0