Evidence map›Paper›PMID 25826674›Full record

ArticleMolecular medicine (Cambridge, Mass.)2015

Reg3α Overexpression Protects Pancreatic β Cells from Cytokine-Induced Damage and Improves Islet Transplant Outcome.

Ying Ding, Yuemei Xu, Xuanyu Shuai, Xuhui Shi, Xiang Chen, Wenbin Huang, Yun Liu, Xiubin Liang, Zhihong Zhang, Dongming Su

Open access · goldAbstract read
In one paragraph

Article in Molecular medicine (Cambridge, Mass.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

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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

10 authors at 3 institutions in 1 country.

Ying DingDepartment of Pathology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Yuemei XuDepartment of Pathology, Nanjing Medical University, Nanjing, China.
Xuanyu ShuaiDepartment of Pathology, Nanjing Medical University, Nanjing, China.
Xuhui ShiDepartment of Pathology, Nanjing Medical University, Nanjing, China.
Xiang ChenCenter of Cellular Therapy, the Second Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Wenbin HuangDepartment of Pathology, Nanjing First Hospital, Nanjing, China.
Yun LiuCenter of Metabolic Research, Nanjing Medical University, Nanjing, China.
Xiubin LiangCenter of Metabolic Research, Nanjing Medical University, Nanjing, China.
Zhihong ZhangDepartment of Pathology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Dongming SuDepartment of Pathology, Nanjing Medical University, Nanjing, China.
Nanjing Medical University · CNSecond Affiliated Hospital of Nanjing Medical University · CNJiangsu Province Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The process of islet transplantation for treating type 1 diabetes has been limited by the high level of graft failure. This may be overcome by locally delivering trophic factors to enhance engraftment. Regenerating islet-derived protein 3α (Reg3α) is a pancreatic secretory protein which functions as an antimicrobial peptide in control of inflammation and cell proliferation. In this study, to investigate whether Reg3α could improve islet engraftment, a marginal mass of syngeneic islets pretransduced with adenoviruses expressing Reg3α or control EGFP were transplanted under the renal capsule of streptozotocin-induced diabetic mice. Mice receiving islets with elevated Reg3α production exhibited significantly lower blood glucose levels (9.057 ± 0.59 mmol/L versus 13.48 ± 0.35 mmol/L,

Identifiers

PMID25826674
PMCPMC4365059
OpenAlexW336966241

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.