Evidence map›Paper›PMID 39095895›Full record

ArticleReproductive biology and endocrinology : RB&E2024

Bioengineered 3D ovarian model for long-term multiple development of preantral follicle: bridging the gap for poly(ε-caprolactone) (PCL)-based scaffold reproductive applications.

Chiara Di Berardino, Alessia Peserico, Chiara Camerano Spelta Rapini, Liliana Liverani, Giulia Capacchietti, Valentina Russo, Paolo Berardinelli, Irem Unalan, Andrada-Ioana Damian-Buda, Aldo R Boccaccini and 1 more

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Article in Reproductive biology and endocrinology : RB&E, 2024. 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
–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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Tailor-made 3DFrontiers in endocrinology · 2025
    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

11 authors.

Chiara Di BerardinoDepartment of Bioscience and Technology for Food, Agriculture and Environment, University of Teramo, 64100, Teramo, Italy. cdiberardino@unite.it.
Alessia PesericoDepartment of Bioscience and Technology for Food, Agriculture and Environment, University of Teramo, 64100, Teramo, Italy.
Chiara Camerano Spelta RapiniDepartment of Bioscience and Technology for Food, Agriculture and Environment, University of Teramo, 64100, Teramo, Italy.
Liliana LiveraniInstitute of Biomaterials, Department of Materials Science and Engineering, University of Erlangen-Nuremberg, Cauerstraße 6, 91058, Erlangen, Germany.
Giulia CapacchiettiDepartment of Bioscience and Technology for Food, Agriculture and Environment, University of Teramo, 64100, Teramo, Italy.
Valentina RussoDepartment of Bioscience and Technology for Food, Agriculture and Environment, University of Teramo, 64100, Teramo, Italy.
Paolo BerardinelliDepartment of Bioscience and Technology for Food, Agriculture and Environment, University of Teramo, 64100, Teramo, Italy.
Irem UnalanInstitute of Biomaterials, Department of Materials Science and Engineering, University of Erlangen-Nuremberg, Cauerstraße 6, 91058, Erlangen, Germany.
Andrada-Ioana Damian-BudaInstitute of Biomaterials, Department of Materials Science and Engineering, University of Erlangen-Nuremberg, Cauerstraße 6, 91058, Erlangen, Germany.
Aldo R BoccacciniInstitute of Biomaterials, Department of Materials Science and Engineering, University of Erlangen-Nuremberg, Cauerstraße 6, 91058, Erlangen, Germany.
Barbara BarboniDepartment of Bioscience and Technology for Food, Agriculture and Environment, University of Teramo, 64100, Teramo, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAssisted Reproductive Technologies (ARTs) have been validated in human and animal to solve reproductive problems such as infertility, aging, genetic selection/amplification and diseases. The persistent gap in ART biomedical applications lies in recapitulating the early stage of ovarian folliculogenesis, thus providing protocols to drive the large reserve of immature follicles towards the gonadotropin-dependent phase. Tissue engineering is becoming a concrete solution to potentially recapitulate ovarian structure, mostly relying on the use of autologous early follicles on natural or synthetic scaffolds. Based on these premises, the present study has been designed to validate the use of the ovarian bioinspired patterned electrospun fibrous scaffolds fabricated with poly(ε-caprolactone) (PCL) for multiple preantral (PA) follicle development.

methodsPA follicles isolated from lamb ovaries were cultured on PCL scaffold adopting a validated single-follicle protocol (Ctrl) or simulating a multiple-follicle condition by reproducing an artificial ovary engrafted with 5 or 10 PA (AO

resultsThe ivF outcomes demonstrated that PCL-scaffolds generate an appropriate biomimetic ovarian microenvironment supporting the transition of multiple PA follicles towards early antral (EA) stage by supporting follicle growth and steroidogenic activation. PCL-multiple bioengineering ivF (AO

conclusionsThe study showcased the proof of concept for a next-generation ART use of PCL-patterned scaffold aimed to generate transplantable artificial ovary engrafted with autologous early-stage follicles or to advance ivF technologies holding a 3D bioinspired matrix promoting a physiological long-term multiple PA follicle protocol.

Indexed as

Ovarian FolliclePolyestersTissue EngineeringTissue ScaffoldsAnimalsBioengineeringFemaleFertilization in VitroOogenesisOvaryReproductive Techniques, AssistedSheeppolycaprolactonePolyestersin vitro folliculogenesisin vitro oogenesis, Tissue engineering, Artificial-ovary, Preantral follicle developmentLarge chromatin remodelingOocyte maturationParthenogenetic activation, Embryo developmentPCL-electrospun scaffold

Identifiers

PMID39095895
PMCPMC11295475

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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.