Mass spectrometry-based metabolomics in microbiome investigations

Nature Reviews Microbiology, Journal Year: 2021, Volume and Issue: 20(3), P. 143 - 160

Published: Sept. 22, 2021

Language: Английский

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Biomarkers as Biomedical Bioindicators: Approaches and Techniques for the Detection, Analysis, and Validation of Novel Biomarkers of Diseases

Pharmaceutics, Journal Year: 2023, Volume and Issue: 15(6), P. 1630 - 1630

Published: May 31, 2023

A biomarker is any measurable biological moiety that can be assessed and measured as a potential index of either normal or abnormal pathophysiology pharmacological responses to some treatment regimen. Every tissue in the body has distinct biomolecular make-up, which known its biomarkers, possess particular features, viz., levels activities (the ability gene protein carry out function) gene, protein, other biomolecules. refers feature objectively quantified by various biochemical samples evaluates exposure an organism pathological procedures their response drug interventions. An in-depth comprehensive realization significance these biomarkers becomes quite important for efficient diagnosis diseases providing appropriate directions case multiple choices being presently available, benefit patient. Presently, advancements omics technologies have opened up new possibilities obtain novel different types, employing genomic strategies, epigenetics, metabolomics, transcriptomics, lipid-based analysis, studies, etc. Particular specific diseases, prognostic capabilities, therapeutic paradigms been applied screening healthy, well diseased, serum samples, act appreciable tools pharmacology therapeutics, In this review, we summarized classification, monitoring detection methods strategies. Various analytical techniques approaches also described along with clinically applicable sensing developed recent past. section dedicated latest trends formulation designing nanotechnology-based developments field.

Language: Английский

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Next Generation Gold Drugs and Probes: Chemistry and Biomedical Applications

Chemical Reviews, Journal Year: 2023, Volume and Issue: 123(10), P. 6612 - 6667

Published: April 18, 2023

The gold drugs, sodium thiomalate (Myocrisin), aurothioglucose (Solganal), and the orally administered auranofin (Ridaura), are utilized in modern medicine for treatment of inflammatory arthritis including rheumatoid juvenile arthritis; however, new agents have been slow to enter clinic. Repurposing different disease indications such as cancer, parasitic, microbial infections clinic has provided impetus development complexes biomedical applications based on unique mechanistic insights differentiated from auranofin. Various chemical methods preparation physiologically stable associated mechanisms explored biomedicine therapeutics or probes. In this Review, we discuss chemistry next generation which encompasses oxidation states, geometry, ligands, coordination, organometallic compounds infectious diseases, inflammation, tools biology via gold-protein interactions. We will focus within past decade. Review provides readers with an accessible overview utility, development, mechanism action gold-based small molecules establish context basis thriving resurgence medicine.

Language: Английский

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Chromatography hyphenated to high resolution mass spectrometry in untargeted metabolomics for investigation of food (bio)markers

TrAC Trends in Analytical Chemistry, Journal Year: 2020, Volume and Issue: 135, P. 116161 - 116161

Published: Dec. 24, 2020

Language: Английский

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Metabolomics for personalized medicine: the input of analytical chemistry from biomarker discovery to point-of-care tests

Analytical and Bioanalytical Chemistry, Journal Year: 2021, Volume and Issue: 414(2), P. 759 - 789

Published: Aug. 25, 2021

Abstract Metabolomics refers to the large-scale detection, quantification, and analysis of small molecules (metabolites) in biological media. Although metabolomics, alone or combined with other omics data, has already demonstrated its relevance for patient stratification frame research projects clinical studies, much remains be done move this approach practice. This is especially true perspective being applied personalized/precision medicine, which aims at stratifying patients according their risk developing diseases, tailoring medical treatments individual characteristics order improve efficacy limit toxicity. In review article, we discuss main challenges linked analytical chemistry that need addressed foster implementation metabolomics clinics use data produced by personalized medicine. First all, there are well-known issues related untargeted workflows levels production (lack standardization), metabolite identification (small proportion annotated features identified metabolites), processing (from automatic detection multi-omic integration) hamper inter-operability reusability data. Furthermore, outputs complex molecular signatures few tens metabolites, often abundance variations, obtained expensive laboratory equipment. It thus necessary simplify these so they can used field. last point, still poorly community, may crucial a near future increased availability societal demand participatory Graphical abstract

Language: Английский

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Arsenic stress in plants: A metabolomic perspective

Plant Stress, Journal Year: 2022, Volume and Issue: 3, P. 100055 - 100055

Published: Jan. 1, 2022

Arsenic (As) is a natural contaminant that exists naturally in the earth crust and it toxic to plant cells. Studies involving absorption of As by plants have already been described previously. Recently, researchers intended understand molecular physiological mechanisms intervene interact absorption. The study metabolome under stress makes use advances instrumentation analytical equipment allows for metabolomics be performed. aim this comprehensive review provide revision metabolomic studies related As-induced main alterations its metabolism compared non-stress situation. According reviewed research, affects both primary secondary metabolism, with amino acids, proteins, antioxidant complex enzymes being molecules most studied stress. However, non-enzymatic compounds, derived from scarcely on plants. In conclusion, as research approach studying could permit in-depth understanding As-related behavior

Language: Английский

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PeakDecoder enables machine learning-based metabolite annotation and accurate profiling in multidimensional mass spectrometry measurements

Nature Communications, Journal Year: 2023, Volume and Issue: 14(1)

Published: April 28, 2023

Abstract Multidimensional measurements using state-of-the-art separations and mass spectrometry provide advantages in untargeted metabolomics analyses for studying biological environmental bio-chemical processes. However, the lack of rapid analytical methods robust algorithms these heterogeneous data has limited its application. Here, we develop evaluate a sensitive high-throughput computational workflow to enable accurate metabolite profiling. Our combines liquid chromatography, ion mobility data-independent acquisition with PeakDecoder, machine learning-based algorithm that learns distinguish true co-elution co-mobility from raw calculates identification error rates. We apply PeakDecoder profiling various engineered strains Aspergillus pseudoterreus, niger, Pseudomonas putida Rhodosporidium toruloides . Results, validated manually against selected reaction monitoring gas-chromatography platforms, show 2683 features could be confidently annotated quantified across 116 microbial sample runs library built 64 standards.

Language: Английский

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Biomarkers for Early Cancer Detection: A Landscape View of Recent Advancements, Spotlighting Pancreatic and Liver Cancers

ACS Pharmacology & Translational Science, Journal Year: 2024, Volume and Issue: 7(3), P. 586 - 613

Published: Feb. 14, 2024

Cancer is one of the leading causes death worldwide. Early cancer detection critical because it can significantly improve treatment outcomes, thus saving lives, reducing suffering, and lessening psychological economic burdens. biomarkers provide varied information about cancer, from early malignancy to decisions on subsequent monitoring. A large variety molecular, histologic, radiographic, or physiological entities features are among common types biomarkers. Sizeable recent methodological progress insights have promoted significant developments in field Here we an overview advances knowledge related biomolecules cellular used for detection. We examine data CAS Content Collection, largest human-curated collection published scientific information, as well biomarker datasets at Excelra, analyze publication landscape research. also discuss evolution key concepts development pipelines, with a particular focus pancreatic liver cancers, which known be remarkably difficult detect particularly high morbidity mortality. The objective paper broad evolving current outline challenges evaluate growth opportunities, order further efforts solving problems that remain. merit this review stems extensive, wide-ranging coverage most up-to-date allowing unique, unmatched breadth analysis in-depth insights.

Language: Английский

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Exploring the intricacies of plant growth promoting rhizobacteria interactions: an omics review

Annals of Microbiology, Journal Year: 2025, Volume and Issue: 75(1)

Published: Feb. 4, 2025

Language: Английский

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MALDI Matrices for the Analysis of Low Molecular Weight Compounds: Rational Design, Challenges and Perspectives

Chemistry - An Asian Journal, Journal Year: 2021, Volume and Issue: 16(8), P. 868 - 878

Published: March 3, 2021

Abstract The analysis of low molecular weight (LMW) compounds is great interest to detect small pharmaceutical drugs rapidly and sensitively, or trace understand metabolic pathways. Matrix‐assisted laser desorption/ionization mass spectrometry (MALDI MS) plays a central role in the high (bio)molecules. However, its application for LMW restricted by spectral interferences m/z region, which are produced conventional organic matrices. Several strategies regarding sample preparation have been investigated overcome this problem. A different rationale centred on developing new matrices not only meet fundamental requirements good absorption ionization efficiency, but also vacuum stable “MALDI silent”, i. e., do give matrix‐related signals area. This review gives an overview rational design used develop matrix systems compounds, focusing (i) modification well‐known matrices, (ii) search (iii) development binary, hybrid nanomaterial‐based (iv) advance reactive (v) progress made negative dual polarity mode.

Language: Английский

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