Evidence map›Paper›PMID 39341790›Full record

ArticlePathogens and disease2024

Optimal protein allocation controls the inhibition of GltA and AcnB in Neisseria gonorrhoeae.

Nabia Shahreen, Niaz Bahar Chowdhury, Rajib Saha

Abstract read
In one paragraph

Article in Pathogens and disease, 2024. 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
–field-weighted citation impact
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.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Nabia ShahreenDepartment of Chemical and Biomolecular Engineering, University of Nebraska-Lincoln, Lincoln, NE 68588, United States.
Niaz Bahar ChowdhuryDepartment of Chemical and Biomolecular Engineering, University of Nebraska-Lincoln, Lincoln, NE 68588, United States.
Rajib SahaDepartment of Chemical and Biomolecular Engineering, University of Nebraska-Lincoln, Lincoln, NE 68588, United States.ORCID 0000-0002-2974-0243

Funding

A Predictive Modeling Framework to Dissect the Dynamic Immunometabolic Responses to Pathogenic infection and the Kinetic Reprogramming of Metabolism in Cancer Cell SystemR35GM143009 · NIGMS · UNIVERSITY OF NEBRASKA LINCOLN · PI SAHA, RAJIB · 2021 to 2025
$1.8M
National Science Foundation 1943310NIGMS NIH HHS R35 GM143009
6 · The paper itself

Abstract

Neisseria gonorrhea (Ngo) is a major concern for global public health due to its severe implications for reproductive health. Understanding its metabolic phenotype is crucial for comprehending its pathogenicity. Despite Ngo's ability to encode tricarboxylic acid (TCA) cycle proteins, GltA and AcnB, their activities are notably restricted. To investigate this phenomenon, we used the iNgo_557 metabolic model and incorporated a constraint on total cellular protein content. Our results indicate that low cellular protein content severely limits GltA and AcnB activity, leading to a shift toward acetate overflow for Adenosine triphosphate (ATP) production, which is more efficient in terms of protein usage. Surprisingly, increasing cellular protein content alleviates this restriction on GltA and AcnB and delays the onset of acetate overflow, highlighting protein allocation as a critical determinant in understanding Ngo's metabolic phenotype. These findings underscore the significance of Ngo's metabolic adaptation in light of optimal protein allocation, providing a blueprint to understand Ngo's metabolic landscape.

Indexed as

Adenosine TriphosphateBacterial ProteinsNeisseria gonorrhoeaeAcetatesCitric Acid CycleGene Expression Regulation, BacterialGonorrheaHumansAcetatesAdenosine TriphosphateBacterial Proteinsacetate overflowconstraint-based modelingenergy productionNeisseria gonorrhoeaeoptimal protein allocation

Identifiers

PMID39341790
PMCPMC11493098

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.