Evidence map›Paper›PMID 21461749›Full record

ArticleJournal of physiology and biochemistry2011

Wfs1 mutation makes mice sensitive to insulin-like effect of acute valproic acid and resistant to streptozocin.

Anton Terasmaa, Ursel Soomets, Julia Oflijan, Marite Punapart, Mats Hansen, Vallo Matto, Kersti Ehrlich, Anne Must, Sulev Kõks, Eero Vasar

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In one paragraph

Article in Journal of physiology and biochemistry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

19 citing papers in PubMed, 32 citations in OpenAlex.

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  18. Meeting report of the European mouse complex genetics network SYSGENET.Mammalian genome : official journal of the International Mammalian Genome Society · 2013
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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

10 authors at 1 institution in 1 country.

Anton TerasmaaDepartment of Physiology, University of Tartu, 19 Ravila Street, Tartu, Estonia. anton.terasmaa@ut.ee
Ursel Soomets
Julia Oflijan
Marite Punapart
Mats Hansen
Vallo Matto
Kersti Ehrlich
Anne Must
Sulev Kõks
Eero Vasar
University of Tartu · EE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Valproic acid (VLP) is a widely used anticonvulsant and mood-stabilizing drug that relieves the endoplasmic reticulum (ER) stress response, a pathogenetic process related to diabetes. The aim of the present study was to evaluate whether acute valproic acid is able to interfere with glucose intolerance in two different diabetes models: The first model was a Wfs1 mutant mouse with an elevated ER stress response and the second model a streptozocin-induced diabetic mouse. VLP (300 mg/kg, i.p.) was administered to Wfs1 knockout (KO) mice and glucose tolerance test was performed 15 min later. VLP did not have an effect on the course of the glucose tolerance test in wild-type mice, while it did normalize the glucose intolerance in Wfs1 knockout mice. Acute valproic acid also lowered the blood glucose levels in streptozocin-treated mice and potentiated the effect of insulin in these mice. Thus, acute valproic acid is effective in lowering blood glucose levels possibly by potentiating insulin action in both Wfs1 KO mice and in streptozocin-induced type 1 diabetic mice.

Indexed as

MutationAnimalsBlood GlucoseBody WeightCreatinineDrug ResistanceGlucoseGlycosuriaHypoglycemic AgentsInsulinMaleMembrane ProteinsMiceMice, Inbred C57BLMice, KnockoutPancreasBlood GlucoseCreatinineGlucoseHypoglycemic AgentsInsulinMembrane ProteinsStreptozocinValproic Acidwolframin protein

Identifiers

PMID21461749
OpenAlexW1965500568

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.