Small molecule metabolites: discovery of biomarkers and therapeutic targets

Signal Transduction and Targeted Therapy, Год журнала: 2023, Номер 8(1)

Опубликована: Март 20, 2023

Metabolic abnormalities lead to the dysfunction of metabolic pathways and metabolite accumulation or deficiency which is well-recognized hallmarks diseases. Metabolite signatures that have close proximity subject's phenotypic informative dimension, are useful for predicting diagnosis prognosis diseases as well monitoring treatments. The lack early biomarkers could poor serious outcomes. Therefore, noninvasive methods with high specificity selectivity desperately needed. Small molecule metabolites-based metabolomics has become a specialized tool biomarker pathway analysis, revealing possible mechanisms human various deciphering therapeutic potentials. It help identify functional related variation delineate biochemical changes indicators pathological damage prior disease development. Recently, scientists established large number profiles reveal underlying networks target exploration in biomedicine. This review summarized analysis on potential value small-molecule candidate metabolites clinical events, may better diagnosis, prognosis, drug screening treatment. We also discuss challenges need be addressed fuel next wave breakthroughs.

Язык: Английский

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Metabolomics: An analytical technique for food processing evaluation

Food Chemistry, Год журнала: 2021, Номер 366, С. 130685 - 130685

Опубликована: Июль 22, 2021

Язык: Английский

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Identification and Prioritization of Environmental Organic Pollutants: From an Analytical and Toxicological Perspective

Chemical Reviews, Год журнала: 2023, Номер 123(17), С. 10584 - 10640

Опубликована: Авг. 2, 2023

Exposure to environmental organic pollutants has triggered significant ecological impacts and adverse health outcomes, which have been received substantial increasing attention. The contribution of unidentified chemical components is considered as the most knowledge gap in understanding combined effects pollutant mixtures. To address this issue, remarkable analytical breakthroughs recently made. In review, basic principles on recognition are overviewed. Complementary methodologies (i.e., quantitative structure–activity relationship prediction, mass spectrometric nontarget screening, effect-directed analysis) experimental platforms briefly described. stages technique development and/or essential parts workflow for each then reviewed. Finally, plausible paths applications future screening methods, interdisciplinary techniques achieving toxicant identification, burgeoning strategies risk assessment cocktails discussed.

Язык: Английский

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Untargeted metabolomic analysis of Chinese red wines for geographical origin traceability by UPLC-QTOF-MS coupled with chemometrics

Food Chemistry, Год журнала: 2022, Номер 394, С. 133473 - 133473

Опубликована: Июнь 11, 2022

Язык: Английский

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Identification of characteristic volatiles and metabolomic pathway during pork storage using HS-SPME-GC/MS coupled with multivariate analysis

Food Chemistry, Год журнала: 2021, Номер 373, С. 131431 - 131431

Опубликована: Окт. 21, 2021

Язык: Английский

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Influence of curing on the metabolite profile of water-boiled salted duck

Food Chemistry, Год журнала: 2022, Номер 397, С. 133752 - 133752

Опубликована: Июль 21, 2022

Язык: Английский

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Untargeted metabolomics by liquid chromatography‐mass spectrometry for food authentication: A review

Comprehensive Reviews in Food Science and Food Safety, Год журнала: 2022, Номер 21(3), С. 2455 - 2488

Опубликована: Март 29, 2022

Abstract Food fraud is currently a growing global concern with far‐reaching consequences. authenticity attributes, including biological identity, geographical origin, agricultural production, and processing technology, are susceptible to food fraud. Metabolic markers their corresponding authentication methods considered as promising choice for authentication. However, few metabolic were available develop robust analytical in routine control. Untargeted metabolomics by liquid chromatography‐mass spectrometry (LC‐MS) increasingly used discover markers. This review summarizes the general workflow, recent applications, advantages, advances, limitations, future needs of untargeted LC‐MS identifying In conclusion, shows great efficiency assessment freshness, cause animals’ death, so on, through three main steps, namely, data acquisition, biomarker discovery, validation. The application prospects selected require be valued, need eventually applicable at targeted analysis assessing unknown samples.

Язык: Английский

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Untargeted metabolomics analysis based on LC-IM-QTOF-MS for discriminating geographical origin and vintage of Chinese red wine

Food Research International, Год журнала: 2023, Номер 165, С. 112547 - 112547

Опубликована: Фев. 3, 2023

Язык: Английский

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Multiplatform Untargeted Metabolomics

Magnetic Resonance in Chemistry, Год журнала: 2023, Номер 61(12), С. 628 - 653

Опубликована: Апрель 3, 2023

Metabolomics samples like human urine or serum contain upwards of a few thousand metabolites, but individual analytical techniques can only characterize hundred metabolites at best. The uncertainty in metabolite identification commonly encountered untargeted metabolomics adds to this low coverage problem. A multiplatform (multiple techniques) approach improve upon the number reliably detected and correctly assigned. This be further improved by applying synergistic sample preparation along with use combinatorial sequential non-destructive destructive techniques. Similarly, peak detection strategies that employ multiple probabilistic approaches have led better annotation decisions. Applying these also addresses issues reproducibility found single platform methods. Nevertheless, analysis large data sets from disparate presents unique challenges. While general processing workflow is similar across platforms, many software packages are fully capable types instrument. Traditional statistical methods such as principal component were not designed handle multiple, distinct sets. Instead, multivariate requires multiblock other model for understanding contribution instruments. review summarizes advantages, limitations, recent achievements metabolomics.

Язык: Английский

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Applications of multi-omics techniques to unravel the fermentation process and the flavor formation mechanism in fermented foods

Critical Reviews in Food Science and Nutrition, Год журнала: 2023, Номер 64(23), С. 8367 - 8383

Опубликована: Апрель 17, 2023

Fermented foods are important components of the human diet. There is increasing awareness abundant nutritional and functional properties present in fermented that arise from transformation substrates by microbial communities. Thus, it significant to unravel communities mechanisms characteristic flavor formation occurring during fermentation. has been rapid development high-throughput other omics technologies, such as metaproteomics metabolomics, a result, there growing recognition importance integrating these approaches. The successful applications multi-omics approaches bioinformatics analyses have provided solid foundation for exploring fermentation process. Compared with single-omics, more accurately delineate molecular features, thus they apt reveal This review introduces an overview single-omics technologies - including metagenomics, metatranscriptomics, metaproteomics, metabolomics. We also discuss integrated bioinformatic their role recent research progress related foods, well summarize main potential pathways involved certain foods. In future, multilayered data should be conducted enable better understanding

Язык: Английский

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