Evidence map›Paper›PMID 31367915›Full record

ArticleAnnals of biomedical engineering2020

Encapsulation of Mesenchymal Stem Cells in 3D Ovarian Cell Constructs Promotes Stable and Long-Term Hormone Secretion with Improved Physiological Outcomes in a Syngeneic Rat Model.

Sivanandane Sittadjody, Kevin M Enck, Alexandra Wells, James J Yoo, Anthony Atala, Justin M Saul, Emmanuel C Opara

Open access · greenAbstract read
In one paragraph

Article in Annals of biomedical engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.6field-weighted citation impact, top 8% 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

18 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
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  14. Regenerative Medicine Approaches in Bioengineering Female Reproductive Tissues.Reproductive sciences (Thousand Oaks, Calif.) · 2021
    Review
  15. Engineering Functional Rat Ovarian Spheroids Using Granulosa and Theca Cells.Reproductive sciences (Thousand Oaks, Calif.) · 2021
    Article
  16. Article
  17. Article
  18. Engineered reproductive tissues.Nature biomedical engineering · 2020
    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

7 authors at 2 institutions in 1 country.

Sivanandane SittadjodyWake Forest Institute for Regenerative Medicine, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA.ORCID http://orcid.org/0000-0003-1990-3640
Kevin M EnckWake Forest Institute for Regenerative Medicine, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA.ORCID http://orcid.org/0000-0003-0558-8950
Alexandra WellsWake Forest Institute for Regenerative Medicine, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA.
James J YooWake Forest Institute for Regenerative Medicine, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA.ORCID http://orcid.org/0000-0002-7827-3848
Anthony AtalaWake Forest Institute for Regenerative Medicine, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA.ORCID http://orcid.org/0000-0001-8186-2160
Justin M SaulDepartment of Chemical, Paper and Biomedical Engineering, Miami University, Oxford, OH, 45056, USA. sauljm@MiamiOH.edu.ORCID http://orcid.org/0000-0002-5771-4958
Emmanuel C OparaWake Forest Institute for Regenerative Medicine, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA.ORCID http://orcid.org/0000-0002-3486-1453
Forest Institute · USMiami University · US

Funding

Studies in Translational Regenerative MedicineT32EB014836 · NIBIB · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ANTHONY ATALA, Victoria Weis · 2013 to 2026
$1.7M
Keratin hydrogel matrix for tunable growth factor delivery in bone regenerationR01AR061391 · NIAMS · MIAMI UNIVERSITY OXFORD · PI SAUL, JUSTIN · 2012 to 2015
$1.4M
NIAMS NIH HHS R01 AR061391NIBIB NIH HHS T32 EB014836NIH HHS R01AR061391
6 · The paper itself

Abstract

Loss of ovarian function (e.g., due to menopause) leads to profound physiological effects in women including changes in sexual function and osteoporosis. Hormone therapies are a known solution, but their use has significantly decreased due to concerns over cardiovascular disease and certain cancers. We recently reported a tissue-engineering strategy for cell hormone therapy (cHT) in which granulosa cells and theca cells are encapsulated to mimic native ovarian follicles. cHT improved physiological outcomes and safety compared to pharmacological hormone therapies in a rat ovariectomy model. However, cHT did not achieve estrogen levels as high as ovary-intact animals. In this report, we examined if hormone secretion from cHT constructs is impacted by incorporation of bone marrow-derived mesenchymal stem cells (BMSC) since these cells contain regulatory factors such as aromatase necessary for estrogen production. Incorporation of BMSCs led to enhanced estrogen secretion in vitro. Moreover, cHT constructs with BMSCs achieved estrogen secretion levels significantly greater than constructs without BMSCs in ovariectomized rats from 70 to 90 days after implantation, while also regulating pituitary hormones. cHT constructs with BMSC ameliorated estrogen deficiency-induced uterine atrophy without hyperplasia. The results indicate that inclusion of BMSC in cHT strategies can improve performance.

Indexed as

Cell- and Tissue-Based TherapyHormone Replacement TherapyTissue EngineeringAnimalsAromataseCells, CulturedEstrogensFemaleFollicle Stimulating HormoneGranulosa CellsLuteinizing HormoneMesenchymal Stem CellsOvariectomyProgesteroneRats, Inbred F344Theca CellsAromataseEstrogensFollicle Stimulating HormoneLuteinizing HormoneProgesteroneAlginateEstrogenHormone therapyOvariectomyOvary

Identifiers

PMID31367915
PMCPMC7021574
OpenAlexW2965550362

What OpenQuestion holds

Textmetadata
LicenceTDM
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.