Evidence map›Paper›PMID 25162451›Full record

ArticlePloS one2014

Is the poly (L- lactide- co- caprolactone) nanofibrous membrane suitable for urinary bladder regeneration?

Marta Pokrywczynska, Arkadiusz Jundzill, Jan Adamowicz, Tomasz Kowalczyk, Karolina Warda, Marta Rasmus, Lukasz Buchholz, Sandra Krzyzanowska, Pawel Nakielski, Tomasz Chmielewski and 8 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

19 citing papers in PubMed, 39 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Electrospinning: Application and Prospects for Urologic Tissue Engineering.Frontiers in bioengineering and biotechnology · 2020
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Vascularization Potential of Electrospun Poly(L-Lactide-co-Caprolactone) Scaffold: The Impact for Tissue Engineering.Medical science monitor : international medical journal of experimental and clinical research · 2017
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

18 authors at 4 institutions in 1 country.

Marta PokrywczynskaChair of Regenerative Medicine, Department of Tissue Engineering, Nicolaus Copernicus University in Torun, Ludwik Rydygier Medical College in Bydgoszcz, Bydgoszcz, Poland.
Arkadiusz JundzillChair of Regenerative Medicine, Department of Tissue Engineering, Nicolaus Copernicus University in Torun, Ludwik Rydygier Medical College in Bydgoszcz, Bydgoszcz, Poland.
Jan AdamowiczChair of Regenerative Medicine, Department of Tissue Engineering, Nicolaus Copernicus University in Torun, Ludwik Rydygier Medical College in Bydgoszcz, Bydgoszcz, Poland.
Tomasz KowalczykDepartment of Theory of Continuous Media, Institute of Fundamental Technological Research, Polish Academy of Sciences, Warsaw, Poland.
Karolina WardaChair of Regenerative Medicine, Department of Tissue Engineering, Nicolaus Copernicus University in Torun, Ludwik Rydygier Medical College in Bydgoszcz, Bydgoszcz, Poland.
Marta RasmusChair of Regenerative Medicine, Department of Tissue Engineering, Nicolaus Copernicus University in Torun, Ludwik Rydygier Medical College in Bydgoszcz, Bydgoszcz, Poland.
Lukasz BuchholzChair of Regenerative Medicine, Department of Tissue Engineering, Nicolaus Copernicus University in Torun, Ludwik Rydygier Medical College in Bydgoszcz, Bydgoszcz, Poland.
Sandra KrzyzanowskaChair of Regenerative Medicine, Department of Tissue Engineering, Nicolaus Copernicus University in Torun, Ludwik Rydygier Medical College in Bydgoszcz, Bydgoszcz, Poland.
Pawel NakielskiDepartment of Mechanics and Physics of Fluids, Institute of Fundamental Technological Research, Polish Academy of Sciences, Warsaw, Poland.
Tomasz ChmielewskiDepartment of Mechanics and Physics of Fluids, Institute of Fundamental Technological Research, Polish Academy of Sciences, Warsaw, Poland.
Magdalena BodnarDepartment of Clinical Pathomorphology, Nicolaus Copernicus University in Torun, Ludwik Rydygier Medical College in Bydgoszcz, Bydgoszcz, Poland.
Andrzej MarszalekDepartment of Clinical Pathomorphology, Nicolaus Copernicus University in Torun, Ludwik Rydygier Medical College in Bydgoszcz, Bydgoszcz, Poland; Department of Tumor Pathology, Center of Oncology, Poznan University of Medical Sciences, Poznan, Poland.
Robert DebskiDepartment of Pediatrics, Hematology and Oncology, Nicolaus Copernicus University in Torun, Ludwik Rydygier Medical College in Bydgoszcz, Bydgoszcz, Poland.
Malgorzata Frontczak-BaniewiczElectron Microscopy Platform, Mossakowski Medical Research Centre, Polish Academy of Sciences, Warsaw, Poland.
Grzegorz MikułowskiDepartment of Intelligent Technologies, Institute of Fundamental Technological Research, Polish Academy of Sciences, Warsaw, Poland.
Maciej NowackiChair of Regenerative Medicine, Department of Tissue Engineering, Nicolaus Copernicus University in Torun, Ludwik Rydygier Medical College in Bydgoszcz, Bydgoszcz, Poland.
Tomasz A KowalewskiDepartment of Mechanics and Physics of Fluids, Institute of Fundamental Technological Research, Polish Academy of Sciences, Warsaw, Poland.
Tomasz DrewaChair of Regenerative Medicine, Department of Tissue Engineering, Nicolaus Copernicus University in Torun, Ludwik Rydygier Medical College in Bydgoszcz, Bydgoszcz, Poland; Department of Urology, Nicolaus Copernicus Hospital, Torun, Poland.
Nicolaus Copernicus University · PLPolish Academy of Sciences · PLInstitute of Fundamental Technological Research · PLPoznan University of Medical Sciences · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to compare: a new five-layered poly (L-lactide-co-caprolactone) (PLC) membrane and small intestinal submucosa (SIS) as a control in rat urinary bladder wall regeneration. The five-layered poly (L-lactide-co-caprolactone) membrane was prepared by an electrospinning process. Adipose tissue was harvested from five 8-week old male Wistar rats. Adipose derived stem cells (ADSCs) were seeded in a density of 3×10(6) cells/cm2 onto PLC membrane and SIS scaffolds, and cultured for 5-7 days in the stem cell culture medium. Twenty male Wistar rats were randomly divided into five equal groups. Augmentation cystoplasty was performed in a previously created dome defect. Groups: (I) PLC+ 3×10(6)ADSCs; (II) SIS+ 3×10(6)ADSCs; (III) PLC; (IV) SIS; (V) control. Cystography was performed after three months. The reconstructed urinary bladders were evaluated in H&E and Masson's trichrome staining. Regeneration of all components of the normal urinary bladder wall was observed in bladders augmented with cell-seeded SIS matrices. The urinary bladders augmented with SIS matrices without cells showed fibrosis and graft contraction. Bladder augmentation with the PLC membrane led to numerous undesirable events including: bladder wall perforation, fistula or diverticula formation, and incorporation of the reconstructed wall into the bladder lumen. The new five-layered poly (L-lactide-co-caprolactone) membrane possesses poorer potential for regenerating the urinary bladder wall compared with SIS scaffold.

Indexed as

RegenerationTissue ScaffoldsAdipocytesAnimalsCell DifferentiationCell ProliferationCells, CulturedIntestinal MucosaMaleMembranes, ArtificialPolyestersRatsRats, WistarTissue EngineeringUrinary Bladderlactide-caprolactone copolymerMembranes, ArtificialPolyesters

Identifiers

PMID25162451
PMCPMC4146509
OpenAlexW2042575951

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.