Evidence map›Paper›PMID 24314112›Full record

ArticleBMC neurology2013

Cortical GABAergic neurons are more severely impaired by alkalosis than acidosis.

Shuyan Zhang, Piyun Sun, Zhongren Sun, Jingyu Zhang, Jinlong Zhou, Yingli Gu

Open access · goldAbstract read
In one paragraph

Article in BMC neurology, 2013. 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
0.1field-weighted citation impact, top 53% 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, 9 citations in OpenAlex.

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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 3 institutions in 1 country.

Shuyan ZhangDepartment of Neurology, The Fourth Affiliated Hospital of Harbin Medical University, 37 Yiyuan Street, Harbin 150001, P,R, China. zhangsy70@yahoo.com.
Piyun Sun
Zhongren Sun
Jingyu Zhang
Jinlong Zhou
Yingli Gu
Harbin Medical University · CNFourth Affiliated Hospital of Harbin Medical University · CNHeilongjiang University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcid-base imbalance in various metabolic disturbances leads to human brain dysfunction. Compared with acidosis, the patients suffered from alkalosis demonstrate more severe neurological signs that are difficultly corrected. We hypothesize a causative process that the nerve cells in the brain are more vulnerable to alkalosis than acidosis.

methodsThe vulnerability of GABAergic neurons to alkalosis versus acidosis was compared by analyzing their functional changes in response to the extracellular high pH and low pH. The neuronal and synaptic functions were recorded by whole-cell recordings in the cortical slices.

resultsThe elevation or attenuation of extracellular pH impaired these GABAergic neurons in terms of their capability to produce spikes, their responsiveness to excitatory synaptic inputs and their outputs via inhibitory synapses. Importantly, the dysfunction of these active properties appeared severer in alkalosis than acidosis.

conclusionsThe severer impairment of cortical GABAergic neurons in alkalosis patients leads to more critical neural excitotoxicity, so that alkalosis-induced brain dysfunction is difficultly corrected, compared to acidosis. The vulnerability of cortical GABAergic neurons to high pH is likely a basis of severe clinical outcomes in alkalosis versus acidosis.

Indexed as

AcidosisAction PotentialsAlkalosisAnimalsCerebral CortexGABAergic NeuronsGlutamate DecarboxylaseGreen Fluorescent ProteinsInhibitory Postsynaptic PotentialsIn Vitro TechniquesMiceMice, Inbred C57BLMice, TransgenicPatch-Clamp TechniquesGlutamate DecarboxylaseGreen Fluorescent Proteins

Identifiers

PMID24314112
PMCPMC3879204
OpenAlexW1987209784

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Registered trials

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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.