Evidence map›Paper›PMID 24321277›Full record

ReviewJournal of chromatography. B, Analytical technologies in the biomedical and life sciences2014

Studies of metabolite-protein interactions: a review.

Ryan Matsuda, Cong Bi, Jeanethe Anguizola, Matthew Sobansky, Elliott Rodriguez, John Vargas Badilla, Xiwei Zheng, Benjamin Hage, David S Hage

Abstract readReview
In one paragraph

Review in Journal of chromatography. B, Analytical technologies in the biomedical and life sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

20 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Applications of chromatographic methods in metabolomics: A review.Journal of chromatography. B, Analytical technologies in the biomedical and life sciences · 2024
    Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. [Application of metabolomics in neonatal clinical practice].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2019
    Review
  9. Article
  10. Kinetic Analysis by Affinity Chromatography.Frontiers in chemistry · 2019
    Review
  11. Review
  12. Studies of drug interactions with alphaJournal of chromatography. A · 2017
    Article
  13. Review
  14. Metabolomic profiling of brain from infants who died from Sudden Infant Death Syndrome reveals novel predictive biomarkers.Journal of perinatology : official journal of the California Perinatal Association · 2017
    Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. 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

9 authors at 1 institution in 1 country.

Ryan MatsudaDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln, NE 68588-0304, USA.
Cong BiDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln, NE 68588-0304, USA.
Jeanethe AnguizolaDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln, NE 68588-0304, USA.
Matthew SobanskyDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln, NE 68588-0304, USA.
Elliott RodriguezDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln, NE 68588-0304, USA.
John Vargas BadillaDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln, NE 68588-0304, USA.
Xiwei ZhengDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln, NE 68588-0304, USA.
Benjamin HageDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln, NE 68588-0304, USA.
David S HageDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln, NE 68588-0304, USA. Electronic address: dhage1@unl.edu.
University of Nebraska–Lincoln · US

Funding

CHROMATOGRAPHIC AUTOMATION OF IMMUNOASSAYSR01GM044931 · NIGMS · UNIVERSITY OF NEBRASKA LINCOLN · PI HAGE, DAVID S · 1998 to 2014
$2.7M
EXTRAMURAL RESEARCH FACILITIES CONSTRUCTIONC06RR015468 · NCRR · UNIVERSITY OF NEBRASKA LINCOLN · PI PAUL, PREM S · 2000 to 2000
$2.0M
CHROMATOGRAPHIC STUDIES OF FUNCTIONAL PROTEOMICSR01DK069629 · NIDDK · UNIVERSITY OF NEBRASKA LINCOLN · PI HAGE, DAVID S · 2006 to 2017
$1.8M
NCRR NIH HHS C06 RR015468NCRR NIH HHS RR015468-01NIDDK NIH HHS R01 DK069629NIGMS NIH HHS R01 GM044931
6 · The paper itself

Abstract

The study of metabolomics can provide valuable information about biochemical pathways and processes at the molecular level. There have been many reports that have examined the structure, identity and concentrations of metabolites in biological systems. However, the binding of metabolites with proteins is also of growing interest. This review examines past reports that have looked at the binding of various types of metabolites with proteins. An overview of the techniques that have been used to characterize and study metabolite-protein binding is first provided. This is followed by examples of studies that have investigated the binding of hormones, fatty acids, drugs or other xenobiotics, and their metabolites with transport proteins and receptors. These examples include reports that have considered the structure of the resulting solute-protein complexes, the nature of the binding sites, the strength of these interactions, the variations in these interactions with solute structure, and the kinetics of these reactions. The possible effects of metabolic diseases on these processes, including the impact of alterations in the structure and function of proteins, are also considered.

Indexed as

MetabolomeMetabolomicsFatty AcidsHumansModels, MolecularPharmaceutical PreparationsProtein BindingProteinsFatty AcidsPharmaceutical PreparationsProteinsDrug–protein interactionsFatty acid–protein interactionsHormone–protein interactionsMetabolomicsProtein modificationXenobiotic–protein interactions

Identifiers

PMID24321277
PMCPMC4032809
OpenAlexW2160840771

What OpenQuestion holds

Textmetadata
LicenceTDM
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.