Evidence map›Paper›PMID 29410963›Full record

ArticleBioMed research international2017

Cotransplantation of Mesenchymal Stem Cells and Immature Dendritic Cells Potentiates the Blood Glucose Control of Islet Allografts.

Guanghui Long, Guangtao Zhang, Fangting Zhang, Minghua Li, Dongshuo Ye, Dengke Yang, Yinke Yang

Abstract read
In one paragraph

Article in BioMed research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

7 authors.

Guanghui LongDepartment of Hepatobiliary Surgery, Peking University Shenzhen Hospital, Shenzhen, China.
Guangtao ZhangDepartment of Hepatobiliary Surgery, Peking University Shenzhen Hospital, Shenzhen, China.
Fangting ZhangCenter Laboratory, Peking University Shenzhen Hospital, Shenzhen, China.ORCID 0000-0001-9923-7005
Minghua LiCenter Laboratory, Peking University Shenzhen Hospital, Shenzhen, China.
Dongshuo YeShenzhen BioScien Pharmaceuticals Co. LTD, Shenzhen, China.
Dengke YangShenzhen BioScien Pharmaceuticals Co. LTD, Shenzhen, China.
Yinke YangShenzhen BioScien Pharmaceuticals Co. LTD, Shenzhen, China.ORCID 0000-0001-9356-2755

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTransplantation of islets is a promising alternative to treat type 1 diabetes (T1D), but graft rejection is the major obstacle to its application in clinical practice. We evaluated the effects of mesenchymal stem cells (MSCs) and immature dendritic cells (imDCs) on islet transplantation in diabetic model.

methodsThe streptozotocin T1D model was established in BABL/c mice. Rat islets were isolated and identified with dithizone (DTZ) staining. MSCs and imDCs were isolated from bone marrow of syngenic mice. Islets, alone or along with MSCs and/or imDCs, were transplanted to the left kidney capsule of diabetic mice. The blood glucose levels and glycosylated hemoglobin levels after transplantation were monitored.

resultsCotransplantation significantly decreased blood glucose and glycosylated hemoglobin levels in the diabetes mice. Transplantation of 200 islets + 2 × 10

conclusionsCotransplantation of allogenic islets with imDCs and/or MSCs can significantly promote graft survival, reverse hyperglycemia, and effectively control the glycosylated hemoglobin levels.

Indexed as

Islets of Langerhans TransplantationMesenchymal Stem Cell TransplantationAllograftsAnimalsBlood GlucoseCell DifferentiationCell ProliferationCell SeparationCell ShapeCell SurvivalDendritic CellsFlow CytometryGlycated HemoglobinGraft SurvivalInsulinInsulin SecretionBlood GlucoseGlycated HemoglobinInsulin

Identifiers

PMID29410963
PMCPMC5749219

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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.