Non-targeted metabolomics study for discovery of hepatocellular carcinoma serum diagnostic biomarker

Wang, Shufeng; He, Tingting; Wang, Hongxia

doi:10.1016/j.jpba.2023.115869

Cited by 3 publications

(1 citation statement)

References 54 publications

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“…Other most affordable LC–MS/MS strategies employed for metabolomics analysis of biological samples have served to identify potential biomarkers in human serum from patients with diabetes [ 116 ], schizophrenia [ 117 ], ischemic stroke [ 118 ], and other health conditions [ 119 , 120 , 121 ]. Similar technique also have been used to assess food quality [ 122 , 123 , 124 , 125 , 126 ] and the toxic effects of xenobiotics [ 127 , 128 ].…”

Section: Metabolomics and Lipidomicsmentioning

confidence: 99%

Multi Omics Applications in Biological Systems

Gutierrez Reyes,

Alejo-Jacuinde,

Perez Sanchez

et al. 2024

CIMB

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Traditional methodologies often fall short in addressing the complexity of biological systems. In this regard, system biology omics have brought invaluable tools for conducting comprehensive analysis. Current sequencing capabilities have revolutionized genetics and genomics studies, as well as the characterization of transcriptional profiling and dynamics of several species and sample types. Biological systems experience complex biochemical processes involving thousands of molecules. These processes occur at different levels that can be studied using mass spectrometry-based (MS-based) analysis, enabling high-throughput proteomics, glycoproteomics, glycomics, metabolomics, and lipidomics analysis. Here, we present the most up-to-date techniques utilized in the completion of omics analysis. Additionally, we include some interesting examples of the applicability of multi omics to a variety of biological systems.

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Section: Metabolomics and Lipidomicsmentioning

confidence: 99%

Multi Omics Applications in Biological Systems

Gutierrez Reyes,

Alejo-Jacuinde,

Perez Sanchez

et al. 2024

CIMB

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Advances in mass spectrometry for metabolomics: Strategies, challenges, and innovations in disease biomarker discovery

Titkare,

Chaturvedi,

Borah

et al. 2024

Biomedical Chromatography

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Mass spectrometry (MS) plays a crucial role in metabolomics, especially in the discovery of disease biomarkers. This review outlines strategies for identifying metabolites, emphasizing precise and detailed use of MS techniques. It explores various methods for quantification, discusses challenges encountered, and examines recent breakthroughs in biomarker discovery. In the field of diagnostics, MS has revolutionized approaches by enabling a deeper understanding of tissue‐specific metabolic changes associated with disease. The reliability of results is ensured through robust experimental design and stringent system suitability criteria. In the past, data quality, standardization, and reproducibility were often overlooked despite their significant impact on MS‐based metabolomics. Progress in this field heavily depends on continuous training and education. The review also highlights the emergence of innovative MS technologies and methodologies. MS has the potential to transform our understanding of metabolic landscapes, which is crucial for disease biomarker discovery. This article serves as an invaluable resource for researchers in metabolomics, presenting fresh perspectives and advancements that propels the field forward.

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