Evidence map›Paper›PMID 34557650›Full record

ArticleAnimal models and experimental medicine2021

Molsidomine ameliorates diabetic peripheral neuropathy complications in Wistar rats.

Pranav Nayak B, Nathani Minaz, Khadar Pasha

Open access · diamondAbstract read
In one paragraph

Article in Animal models and experimental medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
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  3. Article
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

3 authors at 1 institution in 1 country.

Pranav Nayak BPharmacology Department and Al-Ameen College of Pharmacy and Rajiv Gandhi University Bangalore India.ORCID 0000-0002-8158-3580
Nathani MinazPharmacology Department and Al-Ameen College of Pharmacy and Rajiv Gandhi University Bangalore India.
Khadar PashaPharmacology Department and Al-Ameen College of Pharmacy and Rajiv Gandhi University Bangalore India.
Rajiv Gandhi University of Health Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic neuropathy is a disorder that affects various regions of the nervous system and there is no specific treatment available for it. This study evaluated the protective effect of molsidomine in diabetic neuropathy in rats. Diabetes was induced in male Wistar rats by administrating streptozotocin (52 mg/kg ip). Diabetic rats were treated with molsidomine 5 mg/kg po and 10 mg/kg po. After 8 weeks of treatment, motor coordination, mechanical allodynia, mechanical hyperalgesia, nerve conduction velocity, and glycosylated hemoglobin were assessed. Thereafter, animals were killed and the sciatic nerve was isolated for measurement of reduced glutathione and lipid peroxidation, and histopathological analysis. Treatment with molsidomine significantly improved motor coordination, paw withdrawal threshold, mechanical threshold, and nerve conduction velocity. Furthermore, molsidomine treatment also reduced malondialdehyde levels and prevented depletion of reduced glutathione in the sciatic nerve homogenate. Histopathology revealed that molsidomine treatment maintained normal architecture of the sciatic nerve. The results of our study strengthen the alternative use of molsidomine in diabetic neuropathy.

Indexed as

Diabetes Mellitus, ExperimentalDiabetic NeuropathiesAnimalsMaleMolsidomineOxidative StressRatsRats, WistarMolsidominediabetic neuropathymolsidominestreptozotocinWistar rats

Identifiers

PMID34557650
PMCPMC8446713
OpenAlexW3137296394

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LicenceCC BY
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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.