Evidence map›Paper›PMID 37404371›Full record

ArticleiScience2023

Modeling control and transduction of electrochemical gradients in acid-stressed bacteria.

Marcus S Benyamin, Matthew P Perisin, Caleb A Hellman, Nathan D Schwalm, Justin P Jahnke, Christian J Sund

Open access · goldAbstract read
In one paragraph

Article in iScience, 2023. 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
1.0field-weighted citation impact, top 28% 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, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  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

6 authors at 1 institution in 1 country.

Marcus S BenyaminBiological and Biotechnology Sciences Division, DEVCOM Army Research Laboratory, Adelphi, MD, USA.
Matthew P PerisinBiological and Biotechnology Sciences Division, DEVCOM Army Research Laboratory, Adelphi, MD, USA.
Caleb A HellmanBiological and Biotechnology Sciences Division, DEVCOM Army Research Laboratory, Adelphi, MD, USA.
Nathan D SchwalmBiological and Biotechnology Sciences Division, DEVCOM Army Research Laboratory, Adelphi, MD, USA.
Justin P JahnkeBiological and Biotechnology Sciences Division, DEVCOM Army Research Laboratory, Adelphi, MD, USA.
Christian J SundBiological and Biotechnology Sciences Division, DEVCOM Army Research Laboratory, Adelphi, MD, USA.
DEVCOM Army Research Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transmembrane electrochemical gradients drive solute uptake and constitute a substantial fraction of the cellular energy pool in bacteria. These gradients act not only as "homeostatic contributors," but also play a dynamic and keystone role in several bacterial functions, including sensing, stress response, and metabolism. At the system level, multiple gradients interact with ion transporters and bacterial behavior in a complex, rapid, and emergent manner; consequently, experiments alone cannot untangle their interdependencies. Electrochemical gradient modeling provides a general framework to understand these interactions and their underlying mechanisms. We quantify the generation, maintenance, and interactions of electrical, proton, and potassium potential gradients under lactic acid-stress and lactic acid fermentation. Further, we elucidate a gradient-mediated mechanism for intracellular pH sensing and stress response. We demonstrate that this gradient model can yield insights on the energetic limitations of membrane transport, and can predict bacterial behavior across changing environments.

Indexed as

ElectrochemistryMicrobial physiologyMicrobiology

Identifiers

PMID37404371
PMCPMC10316662
OpenAlexW4380991152

What Socratic 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 Socratic graph.