Evidence map›Paper›PMID 25352164›Full record

ArticleMolecular medicine reports2015

Tracking of mesenchymal stem cells labeled with gadolinium diethylenetriamine pentaacetic acid by 7T magnetic resonance imaging in a model of cerebral ischemia.

Kuan Geng, Zhong Xian Yang, Dexiao Huang, Meizi Yi, Yanlong Jia, Gen Yan, Xiaofang Cheng, Renhua Wu

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2015. 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
1.5field-weighted citation impact, top 18% 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, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Multinuclear MRI in Drug Discovery.Molecules (Basel, Switzerland) · 2022
    Review
  4. Review
  5. Article
  6. Cell Tracking in Cancer Immunotherapy.Frontiers in medicine · 2020
    Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

8 authors at 3 institutions in 1 country.

Kuan GengThe Chinese People's Liberation Army 59 Hospital, Yunnan, Kaiyuan, Yunnan 661699, P.R. China.
Zhong Xian YangDepartment of Medical Imaging, The Second Affiliated Hospital, Medical College of Shantou University, Shantou, Guangdong 515041, P.R. China.
Dexiao HuangDepartment of Medical Imaging, The Second Affiliated Hospital, Medical College of Shantou University, Shantou, Guangdong 515041, P.R. China.
Meizi YiDepartment of Medical Imaging, The Second Affiliated Hospital, Medical College of Shantou University, Shantou, Guangdong 515041, P.R. China.
Yanlong JiaDepartment of Medical Imaging, The Second Affiliated Hospital, Medical College of Shantou University, Shantou, Guangdong 515041, P.R. China.
Gen YanDepartment of Medical Imaging, The Second Affiliated Hospital, Medical College of Shantou University, Shantou, Guangdong 515041, P.R. China.
Xiaofang ChengDepartment of Medical Imaging, The Second Affiliated Hospital, Medical College of Shantou University, Shantou, Guangdong 515041, P.R. China.
Renhua WuDepartment of Medical Imaging, The Second Affiliated Hospital, Medical College of Shantou University, Shantou, Guangdong 515041, P.R. China.
Second Affiliated Hospital of Shantou University Medical College · CNShantou University · CNChinese People's Liberation Army · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Progress in the development of stem cell and gene therapy requires repeatable and non‑invasive techniques to monitor the survival and integration of stem cells in vivo with a high temporal and spatial resolution. The purpose of the present study was to examine the feasibility of using the standard contrast agent gadolinium diethylenetriamine pentaacetic acid (Gd‑DTPA) to label rat mesenchymal stem cells (MSCs) for stem cell tracking. MSCs, obtained from the bilateral femora of rats, were cultured and propagated. The non‑liposomal lipid transfection reagent effectene was then used to induce the intracellular uptake of Gd‑DTPA. Electron microscopy was used to detect the distribution of Gd‑DTPA particles in the MSCs. The labeling efficiency of the Gd‑DTPA particles in the MSCs was determined using spectrophotometry, and MTT and trypan blue exclusion assays were used to evaluate the viability and proliferation of the labeled MSCs. T1‑weighted magnetic resonance imaging (MRI) was used to observe the labeled cells in vitro and in the rat brain. Gd‑DTPA particles were detected inside the MSCs using transmission electron microscopy and a high labeling efficiency was observed. No difference was observed in cell viability or proliferation between the labeled and unlabeled MSCs (P>0.05). In the in vitro T1‑weighted MRI and in the rat brain, a high signal intensity was observed in the labeled MSCs. The T1‑weighted imaging of the labeled cells revealed a significantly higher signal intensity compared with that of the unlabeled cells (P<0.05) and the T1 values were significantly lower. The function of the labeled MSCs demonstrated no change following Gd‑DTPA labeling, with no evident adverse effect on cell viability or proliferation. Therefore, a change in MR signal intensity was detected in vitro and in vivo, suggesting Gd‑DTPA can be used to label MSCs for MRI tracking.

Indexed as

AnimalsBrain IschemiaCell DifferentiationCell ProliferationCell SurvivalCell TrackingContrast MediaDisease Models, AnimalGadolinium DTPAMagnetic Resonance ImagingMaleMesenchymal Stem CellsMesenchymal Stem Cell TransplantationRatsRats, Sprague-DawleyContrast MediaGadolinium DTPA

Identifiers

PMID25352164
PMCPMC4262487
OpenAlexW2155026650

What OpenQuestion holds

Textmetadata
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.