Evidence map›Paper›PMID 29717209›Full record

ArticleScientific reports2018

Therapeutic Delivery Specifications Identified Through Compartmental Analysis of a Mesenchymal Stromal Cell-Immune Reaction.

Matthew Li, Danika Khong, Ling-Yee Chin, Amy Singleton, Biju Parekkadan

Abstract read
In one paragraph

Article in Scientific reports, 2018. 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
–field-weighted citation impact
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.

  1. Article
  2. Review
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  11. Convergence of Cell Pharmacology and Drug Delivery.Stem cells translational medicine · 2019
    Article
  12. Review
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

5 authors.

Matthew LiCenter for Surgery, Innovation, and Bioengineering, Department of Surgery, Massachusetts General Hospital, Harvard Medical School and the Shriners Hospitals for Children, Boston, Massachusetts, 02114, USA.
Danika KhongCenter for Surgery, Innovation, and Bioengineering, Department of Surgery, Massachusetts General Hospital, Harvard Medical School and the Shriners Hospitals for Children, Boston, Massachusetts, 02114, USA.
Ling-Yee ChinCenter for Surgery, Innovation, and Bioengineering, Department of Surgery, Massachusetts General Hospital, Harvard Medical School and the Shriners Hospitals for Children, Boston, Massachusetts, 02114, USA.
Amy SingletonCenter for Surgery, Innovation, and Bioengineering, Department of Surgery, Massachusetts General Hospital, Harvard Medical School and the Shriners Hospitals for Children, Boston, Massachusetts, 02114, USA.
Biju ParekkadanCenter for Surgery, Innovation, and Bioengineering, Department of Surgery, Massachusetts General Hospital, Harvard Medical School and the Shriners Hospitals for Children, Boston, Massachusetts, 02114, USA. biju_parekkadan@hms.harvard.edu.

Funding

Artificial, Humanized Stem Cell NichesR01EB012521 · NIBIB · RUTGERS, THE STATE UNIV OF N.J. · PI PAREKKADAN, BIJU · 2011 to 2021
$6.0M
Organ Design and Engineering Training Program (ODET Program)T32EB016652 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI BONVENTRE, JOSEPH VINCENT · 2014 to 2023
$3.5M
NIBIB NIH HHS R01 EB012521NIBIB NIH HHS T32 EB016652
6 · The paper itself

Abstract

Despite widespread preclinical success, mesenchymal stromal cell (MSC) therapy has not reached consistent pivotal clinical endpoints in primary indications of autoinflammatory diseases. Numerous studies aim to uncover specific mechanisms of action towards better control of therapy using in vitro immunomodulation assays. However, many of these immunomodulation assays are imperfectly designed to accurately recapitulate microenvironment conditions where MSCs act. To increase our understanding of MSC efficacy, we herein conduct a systems level microenvironment approach to define compartmental features that can influence the delivery of MSCs' immunomodulatory effect in vitro in a more quantitative manner than ever before. Using this approach, we notably uncover an improved MSC quantification method with predictive cross-study applicability and unveil the key importance of system volume, time exposure to MSCs, and cross-communication between MSC and T cell populations to realize full therapeutic effect. The application of these compartmental analysis can improve our understanding of MSC mechanism(s) of action and further lead to administration methods that deliver MSCs within a compartment for predictable potency.

Indexed as

Immunosuppression TherapyMesenchymal Stem Cell TransplantationBone Marrow CellsBrefeldin ACell CommunicationCell ProliferationCells, CulturedCoculture TechniquesDinoprostoneHealthy VolunteersHumansInterferon-alphaInterleukin-6Linear ModelsMesenchymal Stem CellsMonocytesBrefeldin ADinoprostoneIL6 protein, humanInterferon-alphaInterleukin-6

Identifiers

PMID29717209
PMCPMC5931547

What OpenQuestion holds

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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.