Evidence map›Paper›PMID 35028688›Full record

Trial reportAnalytical and bioanalytical chemistry2022

Comparison of chemometric strategies for potential exposure marker discovery and false-positive reduction in untargeted metabolomics: application to the serum analysis by LC-HRMS after intake of Vaccinium fruit supplements.

Lapo Renai, Claudia Ancillotti, Marynka Ulaszewska, Mar Garcia-Aloy, Fulvio Mattivi, Riccardo Bartoletti, Massimo Del Bubba

Open access · greenAbstract readComparative StudyRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Analytical and bioanalytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 46% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Biomarkers of Berry Intake: Systematic Review Update.Journal of agricultural and food chemistry · 2023
    Pooled it
  2. Trial
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 1 country.

Lapo RenaiDepartment of Chemistry, University of Florence, Via della Lastruccia 3, 50019, Sesto Fiorentino, Florence, Italy.
Claudia AncillottiDepartment of Chemistry, University of Florence, Via della Lastruccia 3, 50019, Sesto Fiorentino, Florence, Italy.
Marynka UlaszewskaIRCCS Ospedale San Raffaele, Center for Omics Sciences, Proteomics and Metabolomics Facility (ProMeFa), Via Olgettina, 60, 20132, Milan, Italy.
Mar Garcia-AloyMetabolomics Unit, Department of Food Quality and Nutrition, Research and Innovation Centre, Fondazione Edmund Mach (FEM), Via Mach 1, 38098 San Michele all'Adige, Trento, Italy.
Fulvio MattiviDepartment of Cellular, Computational, and Integrative Biology (CIBIO), University of Trento, Via Sommarive 9, 38123, Povo, Trento, Italy.
Riccardo BartolettiDepartment of Translational Research and New Technologies, University of Pisa, Via Risorgimento 36, 56126, Pisa, Italy.
Massimo Del BubbaDepartment of Chemistry, University of Florence, Via della Lastruccia 3, 50019, Sesto Fiorentino, Florence, Italy. massimo.delbubba@unifi.it.
University of Florence · ITFondazione Edmund Mach · ITIRCCS Ospedale San Raffaele · ITUniversity of Pisa · ITUniversity of Trento · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Untargeted liquid chromatographic-high-resolution mass spectrometric (LC-HRMS) metabolomics for potential exposure marker (PEM) discovery in nutrikinetic studies generates complex outputs. The correct selection of statistically significant PEMs is a crucial analytical step for understanding nutrition-health interactions. Hence, in this paper, different chemometric selection workflows for PEM discovery, using multivariate or univariate parametric or non-parametric data analyses, were comparatively tested and evaluated. The PEM selection protocols were applied to a small-sample-size untargeted LC-HRMS study of a longitudinal set of serum samples from 20 volunteers after a single intake of (poly)phenolic-rich Vaccinium myrtillus and Vaccinium corymbosum supplements. The non-parametric Games-Howell test identified a restricted group of significant features, thus minimizing the risk of false-positive retention. Among the forty-seven PEMs exhibiting a statistically significant postprandial kinetics, twelve were successfully annotated as purine pathway metabolites, benzoic and benzodiol metabolites, indole alkaloids, and organic and fatty acids, and five (i.e. octahydro-methyl-β-carboline-dicarboxylic acid, tetrahydro-methyl-β-carboline-dicarboxylic acid, citric acid, caprylic acid, and azelaic acid) were associated to Vaccinium berry consumption for the first time. The analysis of the area under the curve of the longitudinal dataset highlighted thirteen statistically significant PEMs discriminating the two interventions, including four intra-intervention relevant metabolites (i.e. abscisic acid glucuronide, catechol sulphate, methyl-catechol sulphate, and α-hydroxy-hippuric acid). Principal component analysis and sample classification through linear discriminant analysis performed on PEM maximum intensity confirmed the discriminating role of these PEMs.

Indexed as

AdultBiomarkersChromatography, LiquidFemaleHumansMaleMass SpectrometryMetabolomicsMiddle AgedPolyphenolsSingle-Blind MethodVacciniumBiomarkersPolyphenolsExposure markersMultivariate analysisNutrikineticUnivariate non-parametric analysisUnivariate parametric analysisUntargeted metabolomics

Identifiers

PMID35028688
OpenAlexW4205251129

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.