Evidence map›Paper›PMID 37103850›Full record

ReviewMembranes2023

Interfacial Enzymes Enable Gram-Positive Microbes to Eat Fatty Acids.

Christopher D Radka

Open access · goldAbstract readReview
In one paragraph

Review in Membranes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. 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

1 author at 1 institution in 1 country.

Christopher D RadkaDepartment of Infectious Diseases, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.ORCID 0000-0002-6037-7710
St. Jude Children's Research Hospital · US

Funding

Bacterial anti-inflammatory lipid mediatorsR00AI166116 · NIAID · UNIVERSITY OF KENTUCKY · PI RADKA, CHRISTOPHER DAVID · 2023 to 2025
$733k
Bacterial anti-inflammatory lipid mediatorsK99AI166116 · NIAID · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI RADKA, CHRISTOPHER DAVID · 2022 to 2023
$147k
NIAID NIH HHS K99 AI166116NIAID NIH HHS R00 AI166116
6 · The paper itself

Abstract

Exogenous fatty acid (eFA) activation and utilization play key roles in bacterial physiology and confer growth advantages by bypassing the need to make fatty acids for lipid synthesis. In Gram-positive bacteria, eFA activation and utilization is generally carried out by the fatty acid kinase (FakAB) two-component system that converts eFA to acyl phosphate, and the acyl-ACP:phosphate transacylase (PlsX) that catalyzes the reversible conversion of acyl phosphate to acyl-acyl carrier protein. Acyl-acyl carrier protein is a soluble format of the fatty acid that is compatible with cellular metabolic enzymes and can feed multiple processes including the fatty acid biosynthesis pathway. The combination of FakAB and PlsX enables the bacteria to channel eFA nutrients. These key enzymes are peripheral membrane interfacial proteins that associate with the membrane through amphipathic helices and hydrophobic loops. In this review, we discuss the biochemical and biophysical advances that have established the structural features that drive FakB or PlsX association with the membrane, and how these protein-lipid interactions contribute to enzyme catalysis.

Indexed as

fatty acid metabolisminterfacial enzymesmechanismmembrane bindingperipheral membrane proteins

Identifiers

PMID37103850
PMCPMC10146087
OpenAlexW4363650851

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.