Evidence map›Paper›PMID 25691946›Full record

ArticleIranian journal of basic medical sciences2014

Comparison of human adipose-derived stem cells and chondroitinase ABC transplantation on locomotor recovery in the contusion model of spinal cord injury in rats.

Arash Sarveazad, Mehrdad Bakhtiari, Asrin Babahajian, Atusa Janzade, Ali Fallah, Fateme Moradi, Mansoureh Soleimani, Mohammadreza Younesi, Farjam Goudarzi, Mohammad Taghi Joghataei

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In one paragraph

Article in Iranian journal of basic medical sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 pooled it
1.4field-weighted citation impact, top 22% 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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it, 25 citations in OpenAlex.

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  11. [Effects of human urine-derived stem cells combined with chondroitinase ABC on the expressions of nerve growth factor and brain-derived neurotrophic factor in the spinal cord injury].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2017
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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 2 institutions in 1 country.

Arash SarveazadDepartment of Anatomy, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Mehrdad BakhtiariDepartment of Anatomy, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Asrin BabahajianDepartment of Anatomy, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Atusa JanzadePhysiology Research Center, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran ; Department of Medical Basic Sciences, Faculty of Allied Medicine, Iran University of Medical Sciences, Tehran, Iran ; Department of Physiology, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Ali FallahSystems and Synthetic Biology Group, Bioeconomy Company, Tehran, Iran.
Fateme MoradiDepartment of Anatomy, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Mansoureh SoleimaniDepartment of Anatomy, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran ; Cellular and Molecular Research Center, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Mohammadreza YounesiDepartment of Hematology, School of Allied Medical, Tehran University of Medical Sciences, Tehran, Iran.
Farjam GoudarziDepartment of Nutrition and Biochemistry, School of Public Health, Tehran University of Sciences, Tehran, Iran.
Mohammad Taghi JoghataeiDepartment of Anatomy, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran ; Cellular and Molecular Research Center, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Iran University of Medical Sciences · IRTehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesSpinal cord injury (SCI) is one of the most serious clinical diseases and its treatment has been a subject of interest to researchers. There are two important therapeutic strategies in the treatment of SCI: replacing lost tissue cells through cells implantation and scar elimination. Therefore, in this study we used human adipose-derived stem cells (hADSCs) implantation and injection of Chondroitinase ABC. Aim of present study was to answer to this question: which one is more efficient for Improvement of locomotor recovery after SCI in rat? Transplantation of hADSCs or injection of ChABC. MATERIALS AND

methodsThe spinal cord of rats was injured by contusion using a weight-drop at the level of T8-9, the hADSCs and Chondroitinase ABC were infused in to the spinal cord tissue after injury. BBB test was performed and recorded for each animal weekly for 8 weeks. After the 8(th) weeks, Serial cross-sections were stained with cresyl violet and examined under a light microscope and area of cavity in the spinal cord was measured.

resultsAt 8(th) weeks after injection, hADSCs and ChABC significantly promote locomotor function (P<0.01) and spinal cords of hADSCs and ChABC group had cavities much smaller than those of the control group (P<0.001).

conclusionResults of the present study shows dealing with inappropriate neuro-inhibitory environment and glial scar by ChABC have equal role compare to cell therapy (with hADSCs) for improving motor function after SCI and this result in adoption of proper therapeutic strategies for SCI intervention is important.

Indexed as

BBBChondroitinase ABCContusionhADSCsSpinal Cord Injury

Identifiers

PMID25691946
PMCPMC4322153
OpenAlexW2122760070

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.