Evidence map›Paper›PMID 33020379›Full record

ArticleBrain sciences2020

Metformin Enhances Excitatory Synaptic Transmission onto Hippocampal CA1 Pyramidal Neurons.

Wen-Bing Chen, Jiang Chen, Zi-Yang Liu, Bin Luo, Tian Zhou, Er-Kang Fei

Open access · goldAbstract read
In one paragraph

Article in Brain sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

12 citing papers in PubMed, 21 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 1 institution in 1 country.

Wen-Bing ChenSchool of Life Sciences, Nanchang University, Nanchang 330031, China.
Jiang ChenSchool of Life Sciences, Nanchang University, Nanchang 330031, China.
Zi-Yang LiuSchool of Life Sciences, Nanchang University, Nanchang 330031, China.
Bin LuoSchool of Life Sciences, Nanchang University, Nanchang 330031, China.
Tian ZhouSchool of Basic Medical Sciences, Nanchang University, Nanchang 330031, China.
Er-Kang FeiSchool of Life Sciences, Nanchang University, Nanchang 330031, China.ORCID 0000-0002-3581-9521
Nanchang University · CN

Funding

National Natural Science Foundation of China 31771142National Natural Science Foundation of China 31860268National Natural Science Foundation of China 81460215
6 · The paper itself

Abstract

Metformin (Met) is a first-line drug for type 2 diabetes mellitus (T2DM). Numerous studies have shown that Met exerts beneficial effects on a variety of neurological disorders, including Alzheimer's disease (AD), Parkinson's disease (PD) and Huntington's disease (HD). However, it is still largely unclear how Met acts on neurons. Here, by treating acute hippocampal slices with Met (1 μM and 10 μM) and recording synaptic transmission as well as neuronal excitability of CA1 pyramidal neurons, we found that Met treatments significantly increased the frequency of miniature excitatory postsynaptic currents (mEPSCs), but not amplitude. Neither frequency nor amplitude of miniature inhibitory postsynaptic currents (mIPSCs) were changed with Met treatments. Analysis of paired-pulse ratios (PPR) demonstrates that enhanced presynaptic glutamate release from terminals innervating CA1 hippocampal pyramidal neurons, while excitability of CA1 pyramidal neurons was not altered. Our results suggest that Met preferentially increases glutamatergic rather than GABAergic transmission in hippocampal CA1, providing a new insight on how Met acts on neurons.

Indexed as

glutamate releasehippocampalmetforminneuronal excitabilitypyramidal neurons

Identifiers

PMID33020379
PMCPMC7601223
OpenAlexW3090555570

What OpenQuestion holds

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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.