Evidence map›Paper›PMID 26451950›Full record

ArticlePloS one2015

Hydrogel Based 3-Dimensional (3D) System for Toxicity and High-Throughput (HTP) Analysis for Cultured Murine Ovarian Follicles.

Hong Zhou, Malika Amattullah Malik, Aarthi Arab, Matthew Thomas Hill, Ariella Shikanov

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 6% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Optimized study of anJournal of veterinary science · 2023
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  11. Engineered reproductive tissues.Nature biomedical engineering · 2020
    Review
  12. Article
  13. New advances in probing cell-extracellular matrix interactions.Integrative biology : quantitative biosciences from nano to macro · 2017
    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

5 authors at 1 institution in 1 country.

Hong ZhouDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, 48109, United States of America.
Malika Amattullah MalikCollege of Literature, Science and the Arts, University of Michigan, Ann Arbor, Michigan, 48109, United States of America.
Aarthi ArabDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, 48109, United States of America.
Matthew Thomas HillDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, 48109, United States of America.
Ariella ShikanovDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, 48109, United States of America; Department of Macromolecular Science and Engineering, University of Michigan, Ann Arbor, Michigan, 48109, United States of America.
University of Michigan–Ann Arbor · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Various toxicants, drugs and their metabolites carry potential ovarian toxicity. Ovarian follicles, the functional unit of the ovary, are susceptible to this type of damage at all stages of their development. However, despite of the large scale of potential negative impacts, assays that study ovarian toxicity are limited. Exposure of cultured ovarian follicles to toxicants of interest served as an important tool for evaluation of toxic effects for decades. Mouse follicles cultured on the bottom of a culture dish continue to serve an important approach for mechanistic studies. In this paper, we demonstrated the usefulness of a hydrogel based 3-dimensional (3D) mouse ovarian follicle culture as a tool to study ovarian toxicity in a different setup. The 3D in vitro culture, based on fibrin alginate interpenetrating network (FA-IPN), preserves the architecture of the ovarian follicle and physiological structure-function relationship. We applied the novel 3D high-throughput (HTP) in vitro ovarian follicle culture system to study the ovotoxic effects of an anti-cancer drug, Doxorobucin (DXR). The fibrin component in the system is degraded by plasmin and appears as a clear circle around the encapsulated follicle. The degradation area of the follicle is strongly correlated with follicle survival and growth. To analyze fibrin degradation in a high throughput manner, we created a custom MATLAB® code that converts brightfield micrographs of follicles encapsulated in FA-IPN to binary images, followed by image analysis. We did not observe any significant difference between manually processed images to the automated MATLAB® method, thereby confirming that the automated program is suitable to measure fibrin degradation to evaluate follicle health. The cultured follicles were treated with DXR at concentrations ranging from 0.005 nM to 200 nM, corresponding to the therapeutic plasma levels of DXR in patients. Follicles treated with DXR demonstrated decreased survival rate in greater DXR concentrations. We observed partial follicle survival of 35% ± 3% (n = 80) in 0.01nM treatment and 48% ± 2% (n = 92) in 0.005nM, which we identified as the IC50 for secondary follicles. In summary, we established a 3D in vitro ovarian follicle culture system that could be used in an HTP approach to measure toxic effects on ovarian follicles.

Indexed as

Hydrogel, Polyethylene Glycol DimethacrylateTissue Culture TechniquesAnimalsAprotininDose-Response Relationship, DrugDoxorubicinFemaleFibrinHigh-Throughput Screening AssaysInhibitory Concentration 50MiceOvarian FollicleProteolysisToxicity TestsAprotininDoxorubicinFibrinHydrogel, Polyethylene Glycol Dimethacrylate

Identifiers

PMID26451950
PMCPMC4599796
OpenAlexW2217070831

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.