Evidence map›Paper›PMID 38551770›Full record

ArticleMolecular biology reports2024

Good manufacturing practices production of human placental derived mesenchymal stem cells for therapeutic applications: focus on multiple sclerosis.

Ameneh Shokati, Abdorreza Naser Moghadasi, Andisheh Ghashghaei, Mohammad Ali Sahraian, Bahram Chahardouli, Seyed Asadollah Mousavi, Jafar Ai, Mohsen Nikbakht

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In one paragraph

Article in Molecular biology reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Super-Enhancers in Placental Development and Diseases.Journal of developmental biology · 2025
    Review
  4. 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 2 institutions in 1 country.

Ameneh ShokatiDepartment of Applied Cell Sciences, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Abdorreza Naser MoghadasiMultiple Sclerosis Research Center, Neuroscience Institute, Tehran University of Medical Sciences (TUMS), Tehran, Iran. abdorrezamoghadasi@gmail.com.ORCID http://orcid.org/0000-0002-8598-0911
Andisheh GhashghaeiDepartment of Tissue Engineering and Applied Cell Sciences, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad Ali SahraianMultiple Sclerosis Research Center, Neuroscience Institute, Tehran University of Medical Sciences (TUMS), Tehran, Iran.
Bahram ChahardouliDepartment of Tissue Engineering and Applied Cell Sciences, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Seyed Asadollah MousaviDepartment of Tissue Engineering and Applied Cell Sciences, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Jafar AiDepartment of Tissue Engineering and Applied Cell Sciences, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran. jafar_ai@tums.ac.ir.ORCID http://orcid.org/0000-0001-5083-2081
Mohsen NikbakhtDepartment of Tissue Engineering and Applied Cell Sciences, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran. m-nikbakht@sina.tums.ac.ir.ORCID http://orcid.org/0000-0001-6621-5424
Tehran University of Medical Sciences · IRSina Hospital · IR

Funding

Multiple Sclerosis Research Center to support this project grant number 1400-1-148-52617Research Institute for Oncology, Hematology& Cell Therapy Facility, Shariati Hospital grant number 1400-1-233-51589 .
6 · The paper itself

Abstract

backgroundAmong neurological diseases, multiple sclerosis (MS) affects mostly young adults and can cause long-term disability. While most medications with approval from regulatory agencies are very effective in treating MS disease, they are unable to repair the tissue damage found in the central nervous system (CNS). Consequently, Cell-based therapy particularly using mesenchymal stem/stromal cells (MSCs), holds promise for neuroprotection and tissue repair in MS treatment. Furthermore, placenta-derived MSCs (PLMSCs) have shown the potential to treat MS due to their abundance, noninvasive isolation from discarded tissues, no ethical problems, anti-inflammatory, and reparative properties. Accordingly, good manufacturing practices (GMPs) plays a crucial part in clinical SCs manufacturing. The purpose of our article is to discuss GMP-grade PLMSC protocols for treating MS as well as other clinical applications. METHODS AND

resultsPlacental tissue obtained of a healthy donor during the caesarean delivery and PLMSCs isolated by GMP standards. Flow cytometry was used to assess the expression of the CD markers CD34, CD105, CD90, and CD73 in the MSCs and the mesodermal differentiation ability was evaluated. Furthermore, Genetic evaluation of PLMSCs was done by G-banded karyotyping and revealed no chromosomal instability. In spite of the anatomical origin of the starting material, PLMSCs using this method of culture were maternal in origin.

conclusionsWe hope that our protocol for clinical manufacturing of PLMSCs according to GMP standards will assist researchers in isolating MSCs from placental tissue for clinical and pre-clinical applications.

Indexed as

Mesenchymal Stem CellsMultiple SclerosisCell- and Tissue-Based TherapyCell DifferentiationCell ProliferationCells, CulturedFemaleFlow CytometryHumansPlacentaPregnancyYoung AdultCell therapyClinical applicationGood manufacturing practiceMesenchymal stem cellsMultiple sclerosisPlacenta

Identifiers

PMID38551770
OpenAlexW4393317148

What OpenQuestion holds

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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.