Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition)

European Journal of Immunology, Journal Year: 2019, Volume and Issue: 49(10), P. 1457 - 1973

Published: Oct. 1, 2019

These guidelines are a consensus work of considerable number members the immunology and flow cytometry community. They provide theory key practical aspects enabling immunologists to avoid common errors that often undermine immunological data. Notably, there comprehensive sections all major immune cell types with helpful Tables detailing phenotypes in murine human cells. The latest techniques applications also described, featuring examples data can be generated and, importantly, how analysed. Furthermore, tips, tricks pitfalls avoid, written peer-reviewed by leading experts field, making this an essential research companion.

Language: Английский

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Side effects of methotrexate therapy for rheumatoid arthritis: A systematic review

European Journal of Medicinal Chemistry, Journal Year: 2018, Volume and Issue: 158, P. 502 - 516

Published: Sept. 13, 2018

Language: Английский

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Metabolomics for laboratory diagnostics

Journal of Pharmaceutical and Biomedical Analysis, Journal Year: 2014, Volume and Issue: 113, P. 108 - 120

Published: Dec. 25, 2014

Language: Английский

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Metabolomics for Biomarker Discovery: Moving to the Clinic

BioMed Research International, Journal Year: 2015, Volume and Issue: 2015, P. 1 - 6

Published: Jan. 1, 2015

To improve the clinical course of diseases, more accurate diagnostic and assessment methods are required as early possible. In order to achieve this, metabolomics offers new opportunities for biomarker discovery in complex diseases may provide pathological understanding beyond traditional technologies. It is systematic analysis low-molecular-weight metabolites biological samples has become an important tool research diagnosis human disease been applied identification perturbed pathways. provides a powerful approach discover biomarkers systems holistic with promise clinically enhance diagnostics. When carried out properly, it could insight into underlying mechanisms help identify patients at risk disease, predict response specific treatments. Currently, becomes hot topic. This review will highlight importance benefit identifying that accurately screen potential diseases.

Language: Английский

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Metabolomics Analysis for Biomarker Discovery: Advances and Challenges

Current Medicinal Chemistry, Journal Year: 2013, Volume and Issue: 20(2), P. 257 - 271

Published: Jan. 1, 2013

Over the last decades there has been a change in biomedical research with search for single genes, transcripts, proteins, or metabolites being substituted by coverage of entire genome, transcriptome, proteome, and metabolome "omics" approaches. The emergence metabolomics, defined as comprehensive analysis all system, is still recent compared to other fields, but its particular features improvement both analytical techniques pattern recognition methods contributed greatly increasingly use. feasibility metabolomics biomarker discovery supported assumption that are important players biological systems diseases cause disruption biochemical pathways, which not new concepts. In fact, meaning parallel assessment multiple metabolites, shown have benefits various clinical areas. Compared classical diagnostic approaches conventional biomarkers, offers potential advantages sensitivity specificity. Despite potential, retains several intrinsic limitations great impact on widespread implementation - these experimental measurements. This review will provide an insight characteristics, strengths, limitations, advances always keeping mind application clinical/ health areas tool.

Language: Английский

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Guide to Metabolomics Analysis: A Bioinformatics Workflow

Metabolites, Journal Year: 2022, Volume and Issue: 12(4), P. 357 - 357

Published: April 15, 2022

Metabolomics is an emerging field that quantifies numerous metabolites systematically. The key purpose of metabolomics to identify the corresponding each biological phenotype, and then provide analysis mechanisms involved. Although important understand involved phenomena, approach's ability obtain exhaustive description processes limited. Thus, analysis-integrated metabolomics, transcriptomics, proteomics, other omics approach recommended. Such integration different data requires specialized statistical bioinformatics software. This review focuses on steps in research summarizes several main tools for analyses. We also outline most abnormal metabolic pathways cancers diseases, discuss importance multi-omics algorithms. Overall, our goal summarize current workflow its software useful insights researchers establish a preferable pipeline or analysis.

Language: Английский

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The serum metabolome of COVID-19 patients is distinctive and predictive

Metabolism, Journal Year: 2021, Volume and Issue: 118, P. 154739 - 154739

Published: March 2, 2021

Metabolism is critical for sustaining life, immunity and infection, but its role in COVID-19 not fully understood.Seventy-nine patients, 78 healthy controls (HCs) 30 COVID-19-like patients were recruited a prospective cohort study. Samples collected from with mild or severe symptoms on admission, who progressed to symptoms, followed hospital admission discharge. The metabolome was assayed using gas chromatography-mass spectrometry.Serum butyric acid, 2-hydroxybutyric l-glutamic l-phenylalanine, l-serine, l-lactic cholesterol enriched versus HCs. Notably, d-fructose succinic acid enriched, citric 2-palmitoyl-glycerol depleted compared HCs, these four metabolites differentially distributed non-COVID-19 groups. had 4-deoxythreonic 1,5-anhydroglucitol HCs oxalic phosphoric patients. A combination of d-fructose, distinguished an area under the curve (AUC) > 0.92 after validation. 2-hydroxy-3-methylbutyric 3-hydroxybutyric cholesterol, L-ornithine, oleic palmitelaidic predicted COVID-19, AUC 0.969. After discharge, nearly one-third recovered patients.The serum distinctive has important value investigating pathogenesis, determining diagnosis, predicting cases, improving treatment.

Language: Английский

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Metabolomics in toxicology and preclinical research

ALTEX, Journal Year: 2013, Volume and Issue: 30(2), P. 209 - 225

Published: Jan. 1, 2013

Metabolomics, the comprehensive analysis of metabolites in a biological system, provides detailed information about biochemical/physiological status and changes caused by chemicals. Metabolomics is used many fields, ranging from physiological genetically modified organisms safety science to evaluation human health conditions. In toxicology, metabolomics -omics discipline that most closely related classical knowledge disturbed biochemical pathways. It allows rapid identification potential targets hazardous compound. can give on target organs often help improve our understanding regarding mode-of-action given Such insights aid discovery biomarkers either indicate pathophysiological conditions or monitoring efficacy drug therapies. The first toxicological applications were for mechanistic research, but different ways use technology regulatory context are being explored. Ideally, further progress direction will position approach address challenges toxicology 21st century. To these issues, scientists academia, industry, bodies came together workshop discuss current applied its assessment compounds. We report here conclusions three working groups addressing questions 1) vitro studies 2) appropriate systems 3) context.

Language: Английский

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Metabolomics in diagnosis and biomarker discovery of colorectal cancer

Cancer Letters, Journal Year: 2013, Volume and Issue: 345(1), P. 17 - 20

Published: Dec. 11, 2013

Language: Английский

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Urine metabolomics

Clinica Chimica Acta, Journal Year: 2012, Volume and Issue: 414, P. 65 - 69

Published: Aug. 25, 2012

Language: Английский

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