Recent Analytical Methodologies in Lipid Analysis

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(4), P. 2249 - 2249

Published: Feb. 13, 2024

Lipids represent a large group of biomolecules that are responsible for various functions in organisms. Diseases such as diabetes, chronic inflammation, neurological disorders, or neurodegenerative and cardiovascular diseases can be caused by lipid imbalance. Due to the different stereochemical properties composition fatty acyl groups molecules most classes, quantification lipids development lipidomic analytical techniques problematic. Identification species from complex matrices is difficult, therefore individual steps, which include extraction, separation, detection lipids, must chosen properly. This review critically documents recent strategies analysis sample pretreatment instrumental data interpretation published last five years (2019 2023). The advantages disadvantages extraction methods covered. step comprises identification quantification. Mass spectrometry (MS) used technique analysis, performed direct infusion MS approach combination with suitable separation liquid chromatography gas chromatography. Special attention also given correct evaluation obtained analyses. Only accurate, precise, robust reliable able bring useful information, may contribute clarification some at molecular level, putative biomarkers and/or therapeutic targets.

Language: Английский

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High-Throughput Single-Cell Mass Spectrometry Reveals Sex-Specific Metabolic Responses to 6:2 Chlorinated Polyfluoroalkyl Ether Sulfonate in Zebrafish Liver Cells

Analytical Chemistry, Journal Year: 2025, Volume and Issue: unknown

Published: April 3, 2025

Compound 6:2 chlorinated polyfluoroalkyl ether sulfonate (6:2 Cl-PFESA) is an emerging per- and substance (PFAS) with potential toxicity health risks to biosystems ecosystems. Here, we developed a metabolomics method based on single-cell mass spectrometry investigate the hepatotoxicity heterogeneous responses in zebrafish exposed Cl-PFESA. Zebrafish were environmentally relevant concentration (200 ng/L) of Cl-PFESA for 14 days. The livers dissociated prepared as cell suspensions then introduced high-throughput analysis endogenous metabolites individual primary liver cells. Significant sex-specific heterogeneity accumulation was observed (p < 0.05). Metabolomics revealed perturbations lipid metabolism, particularly affecting unsaturated fatty acids, lipids, sphingolipids cells, indicating hepatotoxicity. Sex-dependent metabolic evident: males showed notable changes glucose acid whereas females experienced pronounced disruptions glycerophospholipid amino pathways. ROC identified biomarkers, including FA(18:3) FA(16:1) (AUC > 0.85), well proline phosphatidylcholine 0.90). These findings reflect dysregulation highlight responses. This study demonstrates feasibility elucidate cellular mechanisms pollutant exposure, offering insights into precise comprehensive assessments at level.

Language: Английский

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Heterogeneous Single-Cell Distribution of Trace-Level Metal Mixtures in Tetrahymena thermophila Using Mass Cytometry

Environmental Science & Technology, Journal Year: 2025, Volume and Issue: unknown

Published: April 18, 2025

The uptake of heavy metals by unicellular organisms can lead to the bioaccumulation these in higher organisms, detrimentally affecting organismal health and ultimately impacts ecosystems. By studying accumulation we gain insights into potential risks associated with low-dose metal exposure aquatic environments. Thus, investigate characteristics Mo, Ag, Cd, Sn, Sb, Hg, Tl, Pb mixtures single Tetrahymena thermophila cells, developed a label-free approach for simultaneous absolute quantification multiple cell using mass cytometry. Our results demonstrated dynamic changes concentrations T. thermophila, competition between excretory pathways resulted heterogeneous bioconcentration metals. Additionally, our findings revealed limited capacity excrete Cd suggesting risk cells when exposed Hg over an extended period. Therefore, current study provides valuable data more comprehensive understanding impact on

Language: Английский

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Dynamic single-cell metabolomics reveals cell-cell interaction between tumor cells and macrophages

Nature Communications, Journal Year: 2025, Volume and Issue: 16(1)

Published: May 16, 2025

Single-cell metabolomics reveals cell heterogeneity and elucidates intracellular molecular mechanisms. However, general concentration measurement of metabolites can only provide a static delineation metabolomics, lacking the metabolic activity information biological pathways. Herein, we develop universal system for dynamic by stable isotope tracing at single-cell level. This comprises high-throughput data acquisition platform an untargeted processing platform, providing integrated workflow single cells. enables global profiling flow analysis interlaced networks level heterogeneous activities among The significance is underscored 2-deoxyglucose inhibition model, demonstrating delicate alteration within cells which cannot reflected analysis. Significantly, combined with neural network model metabolomic direct co-cultured tumor macrophages. intricate cell-cell interaction mechanisms microenvironment firstly identifies versatile polarization subtypes tumor-associated macrophages based on their signatures, in line renewed diversity atlas from RNA-sequencing. developed facilitates comprehensive understanding both perspectives.

Language: Английский

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Enabling high-sensitivity live single-cell mass spectrometry using an integrated electrical lysis and nano electrospray ionization interface

Analytica Chimica Acta, Journal Year: 2024, Volume and Issue: 1324, P. 343068 - 343068

Published: Aug. 6, 2024

Live single-cell metabolomic studies encounter inherent difficulties attributed to the limited sample volume, minimal compound quantity, and insufficient sensitivity in Mass Spectrometry (MS) method used obtain data. However, understanding cellular heterogeneity, functional diversity, metabolic processes within individual cells is essential. Exploring how respond stimuli, including drugs, environmental changes, or signaling molecules, offers insights into biology, oncology, drug discovery. Efficient release of cell contents (lysis) vital for accurate metabolite detection at level. Despite this, traditional approaches live single metabolomics methods do not emphasize efficient lysis prevent dilution. Instead, current use direct infusion introduce mass spectrometry without prior chromatographic separation a step, which adversely affects coverage.

Language: Английский

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Advances in mass spectrometry for clinical analysis: Data acquisition, interpretation and information integration

TrAC Trends in Analytical Chemistry, Journal Year: 2023, Volume and Issue: 169, P. 117380 - 117380

Published: Oct. 13, 2023

Language: Английский

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Recent Progress in Mass Spectrometry‐Based Single‐Cell Metabolic Analysis

Small Methods, Journal Year: 2023, Volume and Issue: 8(3)

Published: Nov. 30, 2023

Single-cell analysis enables the measurement of biomolecules at level individual cells, facilitating in-depth investigations into cellular heterogeneity and precise interpretation related biological mechanisms. Among these biomolecules, metabolites exhibit remarkable sensitivity to environmental biochemical changes, unveiling a hidden world underlying allowing for determination cell physiological states. However, metabolic single cells is challenging due extremely low concentrations, substantial content variations, rapid turnover rates metabolites. Mass spectrometry (MS), characterized by its high sensitivity, wide dynamic range, excellent selectivity, employed in single-cell analysis. This review focuses on recent advances applications MS-based analysis, encompassing three key steps isolation, detection, application. It anticipated that MS will bring profound implications biomedical practices, serving as advanced tools depict landscape.

Language: Английский

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

Biomedical Chromatography, Journal Year: 2024, Volume and Issue: 38(12)

Published: Oct. 7, 2024

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

Language: Английский

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Single-cell technology for drug discovery and development

Frontiers in Drug Discovery, Journal Year: 2024, Volume and Issue: 4

Published: Oct. 18, 2024

The success rate of drug development today remains low, with long cycles and high costs, especially in areas such as oncology, neurology, immunology, infectious diseases. Single-cell omics, encompassing transcriptomics, genomics, epigenomics, proteomics, metabolomics enable the analysis gene expression profiles cellular heterogeneity from perspective individual cells, offering a high-resolution view their functional diversity. These technologies can help reveal disease mechanisms, target identification validation, selection preclinical models candidate drugs, clinical decision-making based on response to all at single-cell level. deep learning technology has provided powerful tool for research discovery techniques, which evolved advent large-scale public databases predict responses targets. In addition, traditional Chinese medicine (TCMs) also entered era technology. omics offer an alternative way deciphering mechanisms TCMs treatment, revealing targets, screening new designing combinations TCMs. This review aims explore application comprehensively, highlighting how they accelerate process facilitate personalized by precisely identifying therapeutic predicting responsiveness, action. It is concluded that efficacy drugs be improved combining artificial intelligence techniques.

Language: Английский

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Dissecting Cellular Heterogeneity: Single-Cell Metabolomics for Unmasking Hidden Variations

Published: Jan. 1, 2024

Language: Английский

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