Evidence map›Paper›PMID 25716801›Full record

ArticleScientific reports2015

Induced pluripotent stem cells as a model for diabetes investigation.

J Stepniewski, N Kachamakova-Trojanowska, D Ogrocki, M Szopa, M Matlok, M Beilharz, G Dyduch, M T Malecki, A Jozkowicz, J Dulak

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
4.7field-weighted citation impact, top 4% 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

32 citing papers in PubMed, 65 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. HNF1A Mutations and Beta Cell Dysfunction in Diabetes.International journal of molecular sciences · 2022
    Review
  5. Article
  6. Article
  7. Maturity Onset Diabetes of the Young-New Approaches for Disease Modelling.International journal of molecular sciences · 2021
    Review
  8. The multifaceted view of heart problem in Duchenne muscular dystrophy.Cellular and molecular life sciences : CMLS · 2021
    Review
  9. Review
  10. Article
  11. Recent progress in pancreatic islet cell therapy.Inflammation and regeneration · 2021
    Review
  12. Review
  13. Review
  14. Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. 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

10 authors at 1 institution in 1 country.

J StepniewskiDepartment of Medical Biotechnology, Faculty of Biochemistry, Biophysics and Biotechnology, Jagiellonian University, Krakow, Poland.
N Kachamakova-TrojanowskaDepartment of Medical Biotechnology, Faculty of Biochemistry, Biophysics and Biotechnology, Jagiellonian University, Krakow, Poland.
D OgrockiDepartment of Medical Biotechnology, Faculty of Biochemistry, Biophysics and Biotechnology, Jagiellonian University, Krakow, Poland.
M Szopa1] Clinic of Metabolic Diseases, Jagiellonian University Medical College, Krakow, Poland [2] University Hospital Krakow Poland.
M MatlokII Clinic of General Surgery, Collegium Medicum, Jagiellonian University, Krakow, Poland.
M BeilharzDepartment of Medical Biotechnology, Faculty of Biochemistry, Biophysics and Biotechnology, Jagiellonian University, Krakow, Poland.
G DyduchDepartment of Clinical and Experimental Pathomorphology, Jagiellonian University Medical College, Krakow, Poland.
M T Malecki1] Clinic of Metabolic Diseases, Jagiellonian University Medical College, Krakow, Poland [2] University Hospital Krakow Poland.
A JozkowiczDepartment of Medical Biotechnology, Faculty of Biochemistry, Biophysics and Biotechnology, Jagiellonian University, Krakow, Poland.
J Dulak1] Department of Medical Biotechnology, Faculty of Biochemistry, Biophysics and Biotechnology, Jagiellonian University, Krakow, Poland [2] Malopolska Centre of Biotechnology, Jagiellonian University, Poland.
Jagiellonian University · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mouse and human induced pluripotent stem cells (iPSCs) may represent a novel approach for modeling diabetes. Taking this into consideration, the aim of this study was to generate and evaluate differentiation potential of iPSCs from lep(db/db) (db/db) mice, the model of diabetes type 2 as well as from patients with Maturity Onset Diabetes of the Young 3 (HNF1A MODY). Murine iPSC colonies from both wild type and db/db mice were positive for markers of pluripotency: Oct3/4A, Nanog, SSEA1, CDy1 and alkaline phosphatase and differentiated in vitro and in vivo into cells originating from three germ layers. However, our results suggest impaired differentiation of db/db cells into endothelial progenitor-like cells expressing CD34 and Tie2 markers and their reduced angiogenic potential. Human control and HNF1A MODY reprogrammed cells also expressed pluripotency markers: OCT3/4A, SSEA4, TRA-1-60, TRA-1-81, formed embryoid bodies (EBs) and differentiated into cells of three germ layers. Additionally, insulin expressing cells were obtained from those partially reprogrammed cells with direct as well as EB-mediated differentiation method. Our findings indicate that disease-specific iPSCs may help to better understand the mechanisms responsible for defective insulin production or vascular dysfunction upon differentiation toward cell types affected by diabetes.

Indexed as

AdultAnimalsBiomarkersCell DifferentiationCells, CulturedDiabetes Mellitus, Type 2Embryoid BodiesEndothelial Progenitor CellsFemaleHomeodomain ProteinsHumansInduced Pluripotent Stem CellsLewis X AntigenMaleMice, Inbred C57BLMice, ObeseBiomarkersHomeodomain ProteinsLewis X AntigenNanog Homeobox ProteinNanog protein, mouseNuclear ProteinsOctamer Transcription Factor-3Pou5f1 protein, mouse

Identifiers

PMID25716801
PMCPMC4341212
OpenAlexW2051830265

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.