Evidence map›Paper›PMID 37100762›Full record

ReviewJournal of microbiology and biotechnology2023

ClC Chloride Channels in Gram-Negative Bacteria and Its Role in the Acid Resistance Systems.

Minjeong Kim, Nakjun Choi, Eunna Choi, Eun-Jin Lee

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of microbiology and biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Applied and environmental microbiology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. RpoS and the bacterial general stress response.Microbiology and molecular biology reviews : MMBR · 2024
    Review
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

4 authors at 1 institution in 1 country.

Minjeong KimDepartment of Life Sciences, College of Life Sciences and Biotechnology, Korea University, Seoul 02841, Republic of Korea.
Nakjun ChoiDepartment of Life Sciences, College of Life Sciences and Biotechnology, Korea University, Seoul 02841, Republic of Korea.
Eunna ChoiDepartment of Life Sciences, College of Life Sciences and Biotechnology, Korea University, Seoul 02841, Republic of Korea.
Eun-Jin LeeDepartment of Life Sciences, College of Life Sciences and Biotechnology, Korea University, Seoul 02841, Republic of Korea.
Korea University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pathogenic bacteria that colonize the human intestinal tract have evolved strategies to overcome acidic conditions when they pass through the gastrointestinal tract. Amino acid-mediated acid resistance systems are effective survival strategies in a stomach that is full of amino acid substrate. The amino acid antiporter, amino acid decarboxylase, and ClC chloride antiporter are all engaged in these systems, and each one plays a role in protecting against or adapting to the acidic environment. The ClC chloride antiporter, a member of the ClC channel family, eliminates negatively charged intracellular chloride ions to avoid inner membrane hyperpolarization as an electrical shunt of the acid resistance system. In this review, we will discuss the structure and function of the prokaryotic ClC chloride antiporter of amino acid-mediated acid resistance system.

Indexed as

AntiportersChloridesAmino AcidsChloride ChannelsGram-Negative BacteriaHumansAmino AcidsAntiportersChloride ChannelsChloridesacid resistancechloride antiporterclcAClC channel

Identifiers

PMID37100762
PMCPMC10394335
OpenAlexW4366813840

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.