Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Novel protocol for metabolomics data normalization and biomarker discovery in human tears

17 Mar 2025

Abstract excerpt

OBJECTIVES: Human tear analysis holds promise for biomarker discovery, but its clinical utility is hindered by the lack of standardized reference values, limiting interindividual comparisons. This study aimed at developing a protocol for normalizing metabolomic data from human tears, enhancing its potential for biomarker identification. METHODS: Tear metabolomic profiling was conducted on 103 donors (64 females,...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Metabolomics and Mass Spectrometry Studies
Share to Ocular Surface and Contact Lens
Share to Oral microbiology and periodontitis research

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 40097363
DOI: 10.1515/cclm-2024-1360

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Novel protocol for metabolomics data normalization and biomarker discovery in human tearsPMID 40097363Read ↗

Saliva as a Complementary Matrix to Whole Blood in Untargeted Lipidomics and Metabolomics: A Baseline Profiling Study in Healthy SubjectsSemantic proximity Read ↗

Retention Time Standardization and Registration (RTStaR): An algorithm that matches corresponding and identifies unique species in nanoliquid chromatography-nanoelectrospray ionization-mass spectrometry lipidomic datasetsSemantic proximity Read ↗

Interlaboratory comparison of standardised metabolomics and lipidomics analyses in human and rodent blood using the MxP® Quant 500 kitSemantic proximity Read ↗

Plasma and Serum Lipidomics of Healthy White Adults Shows Characteristic Profiles by Subjects’ Gender and AgeSemantic proximity Read ↗

High-Fidelity Lipidomics Co-Clustering Analysis Reveals Critical Lipid Metabolic Crux and Mechanisms in Meibomian Gland Dysfunction (MGD)Semantic proximity Read ↗

Multi-platform characterization of the human cerebrospinal fluid metabolome: a comprehensive and quantitative updateSemantic proximity Read ↗

Software tool for internal standard based normalization of lipids, and effect of data-processing strategies on resulting valuesSemantic proximity Read ↗

Variability of the Human Serum Metabolome over 3 Months in the EXPOsOMICS Personal Exposure Monitoring Study.Semantic proximity Read ↗

Pre-analytical processing of plasma and serum samples for combined proteome and metabolome analysisSemantic proximity Read ↗

Cohort-based strategies as an in-house tool to evaluate and improve phenotyping robustness of LC-MS/MS lipidomics platforms.Semantic proximity Read ↗

Comprehensive Analysis of Liver Enzyme Profiles: Age-Related Variations, Predictive Modeling, and Phenotypic ClassificationSemantic proximity Read ↗

Reference intervals of amino acid for newborns in North Asia: Diagnosing Inborn Errors of Metabolism Using Liquid Chromatography Tandem Mass SpectrometrySemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.