ArticlePloS one2016
Establishment of Protocols for Global Metabolomics by LC-MS for Biomarker Discovery.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.
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Who cites it
48 citing papers in PubMed, 90 citations in OpenAlex.
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- Cardiometabolic Factor-Specific Metabolic Signatures in Metabolic Dysfunction-Associated Steatotic Liver Disease: Insights from Non-Targeted Metabolomics.Antioxidants (Basel, Switzerland) · 2026Article
- Receptor-Mitochondria Crosstalk in the Kynurenine Metabolic Pathway: Integrating Metabolomics and Clinical Mass Spectrometry.Antioxidants (Basel, Switzerland) · 2026Review
- Diagnostic Biomarkers for Pancreatic Ductal Adenocarcinoma Using Non-Targeted Metabolomic Analysis.Cancers · 2026Article
- Separative Techniques Coupled to Mass Spectrometry for Metabolomic Analysis.Advances in experimental medicine and biology · 2026Review
- The Application of Omics Technologies in Type II Diabetes Mellitus Research.Current diabetes reviews · 2026Review
- Article
- Association of circulating metabolites and polygenic risk score with incident type 2 diabetes: a prospective community-based cohort study.Cardiovascular diabetology · 2025Article
- Non-Targeted Metabolomics Reveal Apomorphine's Therapeutic Effects and Lysophospholipid Alterations in Steatohepatitis.Antioxidants (Basel, Switzerland) · 2024Article
- Global and Targeted Metabolomics for Revealing Metabolomic Alteration in Niemann-Pick Disease Type C Model Cells.Metabolites · 2024Article
- A novel PDHK inhibitor restored cognitive dysfunction and limited neurodegeneration without affecting amyloid pathology in 5xFAD mouse, a model of Alzheimer's disease.Alzheimer's research & therapy · 2024Article
- Identifying critical age and gender-based metabolomic shifts in a Japanese population of the Tohoku Medical Megabank cohort.Scientific reports · 2024Article
- Changes in Faecal Microbiota Profile and Plasma Biomarkers following the Administration of an Antioxidant Oleuropein-Rich Leaf Extract in a Rat Model Mimicking Colorectal Cancer.Antioxidants (Basel, Switzerland) · 2024Article
- Application of the Hydrophilic Interaction Liquid Chromatography (HILIC-MS) Novel Protocol to Study the Metabolic Heterogeneity of Glioblastoma Cells.Metabolites · 2024Article
- Translational response to mitochondrial stresses is orchestrated by tRNA modifications.bioRxiv : the preprint server for biology · 2024Article
- Identification of kynurenine and quinolinic acid as promising serum biomarkers for drug-induced interstitial lung diseases.Respiratory research · 2024Article
- jMorp: Japanese Multi-Omics Reference Panel update report 2023.Nucleic acids research · 2024Article
- UHPLC-qTOF-MS-Based Nontargeted Metabolomics to Characterize the Effects of Capsaicin on Plasma and Skin Metabolic Profiles of C57BL/6 Mice-An In vivo Experimental Study.Drug design, development and therapy · 2024Article
- Fatty acid binding protein type 7 deficiency preserves auditory function in noise-exposed mice.Scientific reports · 2023Article
- Reduced glutathione level in the aqueous humor of patients with primary open-angle glaucoma and normal-tension glaucoma.npj aging · 2023Article
Corrections and comments
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Authors and funding
13 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Metabolomics is a promising avenue for biomarker discovery. Although the quality of metabolomic analyses, especially global metabolomics (G-Met) using mass spectrometry (MS), largely depends on the instrumentation, potential bottlenecks still exist at several basic levels in the metabolomics workflow. Therefore, we established a precise protocol initially for the G-Met analyses of human blood plasma to overcome some these difficulties. In our protocol, samples are deproteinized in a 96-well plate using an automated liquid-handling system, and conducted either using a UHPLC-QTOF/MS system equipped with a reverse phase column or a LC-FTMS system equipped with a normal phase column. A normalization protocol of G-Met data was also developed to compensate for intra- and inter-batch differences, and the variations were significantly reduced along with our normalization, especially for the UHPLC-QTOF/MS data with a C18 reverse-phase column for positive ions. Secondly, we examined the changes in metabolomic profiles caused by the storage of EDTA-blood specimens to identify quality markers for the evaluation of the specimens' pre-analytical conditions. Forty quality markers, including lysophospholipids, dipeptides, fatty acids, succinic acid, amino acids, glucose, and uric acid were identified by G-Met for the evaluation of plasma sample quality and established the equation of calculating the quality score. We applied our quality markers to a small-scale study to evaluate the quality of clinical samples. The G-Met protocols and quality markers established here should prove useful for the discovery and development of biomarkers for a wider range of diseases.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.