Evidence map›Paper›PMID 34500665›Full record

ReviewMolecules (Basel, Switzerland)2021

Enantioselectivity Effects in Clinical Metabolomics and Lipidomics.

Regina V Oliveira, Ana Valéria C Simionato, Quezia B Cass

Open access · goldAbstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Chiral High-Performance Liquid Chromatography (HPLC) in Targeted Metabolomics.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  3. Article
  4. Advances in Chiral Metabolomic Profiling and Biomarker Discovery.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  5. 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

3 authors at 2 institutions in 1 country.

Regina V OliveiraSEPARARE-Núcleo de Pesquisa em Cromatografia, Department of Chemistry, Federal University of São Carlos, Rod. Washington Luiz, Km 235, São Carlos 13565-905, SP, Brazil.ORCID 0000-0002-5061-5957
Ana Valéria C SimionatoDepartment of Analytical Chemistry, Institute of Chemistry, University of Campinas, Campinas 13083-970, SP, Brazil.ORCID 0000-0003-3899-2917
Quezia B CassSEPARARE-Núcleo de Pesquisa em Cromatografia, Department of Chemistry, Federal University of São Carlos, Rod. Washington Luiz, Km 235, São Carlos 13565-905, SP, Brazil.ORCID 0000-0002-6550-1194
Universidade Federal de São Carlos · BRUniversidade Estadual de Campinas (UNICAMP) · BR

Funding

Agency for the Improvement of Higher Education Personnel (CAPES) 001National Council for Scientific and Technological Development (CNPq) 406064/2018-05São Paulo Research Foundation (FAPESP) 2020/05965-8
6 · The paper itself

Abstract

Metabolomics and lipidomics have demonstrated increasing importance in underlying biochemical mechanisms involved in the pathogenesis of diseases to identify novel drug targets and/or biomarkers for establishing therapeutic approaches for human health. Particularly, bioactive metabolites and lipids have biological activity and have been implicated in various biological processes in physiological conditions. Thus, comprehensive metabolites, and lipids profiling are required to obtain further advances in understanding pathophysiological changes that occur in cells and tissues. Chirality is one of the most important phenomena in living organisms and has attracted long-term interest in medical and natural science. Enantioselective separation plays a pivotal role in understanding the distribution and physiological function of a diversity of chiral bioactive molecules. In this context, it has been the goal of method development for targeted and untargeted metabolomics and lipidomic assays. Herein we will highlight the benefits and challenges involved in these stereoselective analyses for clinical samples.

Indexed as

Amino AcidsAnimalsBiomarkersChromatography, LiquidHumansLipidomicsMass SpectrometryMetabolomicsStereoisomerismAmino AcidsBiomarkersCE-MSchiral amino acidschiral biomarkersLC-MSlipidomicsmetabolomicsstereoisomers

Identifiers

PMID34500665
PMCPMC8433918
OpenAlexW3196480813

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.