Paper Spray Ionization Ion Mobility Mass Spectrometry of Sebum Classifies Biomarker Classes for the Diagnosis of Parkinson’s Disease

JACS Au, Journal Year: 2022, Volume and Issue: 2(9), P. 2013 - 2022

Published: Sept. 7, 2022

Parkinson's disease (PD) is the second most common neurodegenerative disorder, and identification of robust biomarkers to complement clinical diagnosis will accelerate treatment options. Here, we demonstrate use direct infusion sebum from skin swabs using paper spray ionization coupled with ion mobility mass spectrometry (PS-IM-MS) determine regulation molecular classes lipids in that are diagnostic PD. A PS-IM-MS method for samples takes 3 min per swab was developed optimized. The applied collected 150 people elucidates ∼4200 features each subject, which were independently analyzed. data included high weight (>600 Da) differ significantly Putative metabolite annotations several lipid classes, predominantly triglycerides larger acyl glycerides, obtained accurate mass, tandem spectrometry, collision cross section measurements.

Language: Английский

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An integrated analysis and comparison of serum, saliva and sebum for COVID-19 metabolomics

Scientific Reports, Journal Year: 2022, Volume and Issue: 12(1)

Published: July 13, 2022

The majority of metabolomics studies to date have utilised blood serum or plasma, biofluids that do not necessarily address the full range patient pathologies. Here, correlations between metabolites, salivary metabolites and sebum lipids are studied for first time. 83 COVID-19 positive negative hospitalised participants provided alongside saliva samples analysis by liquid chromatography mass spectrometry. Widespread alterations serum-sebum lipid relationships were observed in versus controls. There was also a marked correlation immunostimulatory hormone dehydroepiandrosterone sulphate cohort. analysed herein compared terms their ability differentiate from controls; performed best multivariate (sensitivity specificity 0.97), with dominant changes triglyceride bile acid levels, concordant other identifying dyslipidemia as hallmark infection. Sebum well 0.92; 0.84), performing worst 0.78; 0.83). These findings show skin profiles coincide dyslipidaemia serum. work signposts potential integrated biofluid analyses provide insight into whole-body atlas pathophysiological conditions.

Language: Английский

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Advances in mass spectrometry-based multi-scale metabolomic methodologies and their applications in biological and clinical investigations

Science Bulletin, Journal Year: 2023, Volume and Issue: 68(19), P. 2268 - 2284

Published: Aug. 29, 2023

Metabolomics is a nascent field of inquiry that emerged in the late 20th century. It encompasses comprehensive profiling metabolites across spectrum organisms, ranging from bacteria and cells to tissues. The rapid evolution analytical methods data analysis has greatly accelerated progress this dynamic discipline over recent decades. Sophisticated techniques such as liquid chromatograph mass spectrometry (MS), gas MS, capillary electrophoresis nuclear magnetic resonance serve cornerstone metabolomic analysis. Building upon these methods, plethora modifications combinations have propel advancement metabolomics. Despite progress, scrutinizing metabolism at single-cell or single-organelle level remains an arduous task Some most thrilling advancements, metabolic techniques, offer profound insights into intricate mechanisms within organelles. This allows for study heterogeneity its pivotal role multiple biological processes. made MS imaging enabled high-resolution situ tissue sections even individual cells. Spatial reconstruction enable direct representation distribution alteration three-dimensional space. application novel led significant breakthroughs clinical studies, including discovery pathways, determination cell fate differentiation, anti-aging intervention through modulating metabolism, metabolomics-based clinicopathologic analysis, surgical decision-making based on on-site intraoperative review presents overview both conventional innovative highlighting their applications groundbreaking studies.

Language: Английский

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Interpretable Machine Learning on Metabolomics Data Reveals Biomarkers for Parkinson’s Disease

ACS Central Science, Journal Year: 2023, Volume and Issue: 9(5), P. 1035 - 1045

Published: May 9, 2023

The use of machine learning (ML) with metabolomics provides opportunities for the early diagnosis disease. However, accuracy ML and extent information obtained from can be limited owing to challenges associated interpreting disease prediction models analyzing many chemical features abundances that are correlated "noisy". Here, we report an interpretable neural network (NN) framework accurately predict identify significant biomarkers using whole data sets without a priori feature selection. performance NN approach predicting Parkinson's (PD) blood plasma is significantly higher than other methods mean area under curve >0.995. PD-specific markers predate clinical PD contribute were identified including exogenous polyfluoroalkyl substance. It anticipated this accurate NN-based improve diagnostic diseases untargeted 'omics methods.

Language: Английский

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Clinical lipidomics in the era of the big data

Clinical Chemistry and Laboratory Medicine (CCLM), Journal Year: 2023, Volume and Issue: 61(4), P. 587 - 598

Published: Jan. 2, 2023

Abstract Lipidomics as a branch of metabolomics provides unique information on the complex lipid profile in biological materials. In clinically focused studies, hundreds lipids together with available clinical proved to be an effective tool discovery biomarkers and understanding pathobiochemistry. However, despite introduction lipidomics nearly twenty years ago, only dozens big data studies using have been published date. this review, we discuss workflow, statistical tools, challenges standartisation. The consequent summary divided into major areas cardiovascular disease, cancer, diabetes mellitus, neurodegenerative liver diseases is demonstrating importance lipidomics. these publications, potential for prediction, diagnosis or finding new targets treatment selected can seen. first results already implemented practice field diseases, while other expect application summarized review near future.

Language: Английский

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