Evidence map›Paper›PMID 24105600›Full record

ArticleThe journal of physiological sciences : JPS2014

Chronic exposure to valproic acid promotes insulin release, reduces KATP channel current and does not affect Ca (2+) signaling in mouse islets.

Kazunori Manaka, Masanori Nakata, Kenju Shimomura, Rauza S Rita, Yuko Maejima, Masashi Yoshida, Katsuya Dezaki, Masafumi Kakei, Toshihiko Yada

Open access · goldAbstract read
In one paragraph

Article in The journal of physiological sciences : JPS, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 12 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

9 authors at 3 institutions in 1 country.

Kazunori ManakaDivision of Integrative Physiology, Department of Physiology, Jichi Medical University, School of Medicine, Yakushiji 3311-1, Shimotsuke, Tochigi, 329-0498, Japan.
Masanori Nakata
Kenju Shimomura
Rauza S Rita
Yuko Maejima
Masashi Yoshida
Katsuya Dezaki
Masafumi Kakei
Toshihiko Yada
Jichi Medical University · JPJichi Medical University Saitama Medical Center · JPNational Institute for Physiological Sciences · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hyperinsulinemia is one of the reported side effects of valproic acid (VPA), a medicine used to treat epilepsy. However, its underlying mechanism remains unknown. The present study was designed to investigate a direct effect of VPA on insulin secretion by using mouse pancreactic islets and β-cells. VPA had no acute effect on insulin secretion from islets, or on cytosolic Ca(2+) ([Ca(2+)]i) in single β-cells. However, following long-term exposure to VPA (48 h), both basal and glucose-stimulated insulin secretion were markedly elevated (5-fold), while the insulin gene expression level was unaltered. Following long-term exposure to VPA, β-cells showed a decrease in whole cell KATP channel current. However, the increase in [Ca(2+)]i in response to the sulfonylurea drug, tolbutamide was attenuated. The present study shows that VPA has no acute effects, but long-term treatment results in enhancement of both basal and glucose-stimulated insulin secretion. This long-term effect may mediate the KATP channel, while VPA can also attenuate the effect of the KATP channel blocker tolbutamide.

Indexed as

AnimalsCalcium SignalingInsulinIslets of LangerhansKATP ChannelsMaleMiceModels, AnimalPatch-Clamp TechniquesPotassium Channel BlockersTolbutamideValproic AcidInsulinKATP ChannelsPotassium Channel BlockersTolbutamideValproic Acid

Identifiers

PMID24105600
PMCPMC10716979
OpenAlexW2004713986

What OpenQuestion holds

Textmetadata
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.