Evidence map›Paper›PMID 23765442›Full record

ArticleMolecular therapy : the journal of the American Society of Gene Therapy2013

Third-party mesenchymal stem cells improved human islet transplantation in a humanized diabetic mouse model.

Hao Wu, Di Wen, Ram I Mahato

Abstract read
In one paragraph

Article in Molecular therapy : the journal of the American Society of Gene Therapy, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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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

3 authors.

Hao WuDepartment of Pharmaceutical Sciences, University of Tennessee Health Science Center, Memphis, Tennessee, USA.
Di Wen
Ram I Mahato

Funding

Growth Factor and Antiapoptotic Gene Delivery to Human IsletsR01DK069968 · NIDDK · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI MAHATO, RAM I. · 2005 to 2012
$2.2M
NIDDK NIH HHS R01 DK069968NIDDK NIH HHS R01 DK69968
6 · The paper itself

Abstract

Human islet transplantation can be a permanent treatment of type 1 diabetes if the immune rejection and primary nonfunction (PNF) of transplanted islet grafts were properly addressed. In this study, we determined whether cotransplantation of human bone marrow-derived mesenchymal stem cells (hBMSCs) could prevent immune rejection and improve human islet transplantation in a humanized NOD scid gamma (NSG) mouse model. Human immunity was rebuilt and maintained in NOD.Cg-Prkdc(scid) Il2rg(tm1Wjl)/SzJ (NSG) mice up to 13 weeks after intraperitoneal injection of mature human peripheral blood mononuclear cells (PBMCs). The blood glucose control and the levels of serum insulin and c-peptide clearly indicated a better outcome of islet transplantation when islets were cotransplanted with hBMSCs. hBMSCs actively interacted with interleukin-10 (IL-10)-producing CD14+ monocytes to suppress the proliferation and activation of T cells in the PBMC/hBMSC coculture and prevent the T cell recruitment into the transplantation site. hBMSCs also increased the percentage of immunosuppressive regulatory T cells (Tregs) and prevented the cytokine-induced loss-of-function of human islets. Taken together, our studies demonstrated that transplantation of islets with hBMSCs is a promising strategy to improve the outcome of human islet transplantation.

Indexed as

Islets of Langerhans TransplantationMesenchymal Stem Cell TransplantationAnimalsCells, CulturedDiabetes Mellitus, Type 1Disease Models, AnimalHumansIslets of LangerhansLeukocytes, MononuclearMesenchymal Stem CellsMiceMice, Inbred NODMice, SCIDT-Lymphocytes, Regulatory

Identifiers

PMID23765442
PMCPMC3776634

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.