Evidence map›Paper›PMID 41681357›Full record

ArticleAnimals : an open access journal from MDPI2026

Optimization of Sodium Alginate Concentration and Evaluation of Individual Versus Group In Vitro Culture of Porcine Preantral Follicles in a Serum-Free Medium.

Alfredo González-Gil, Belén Sánchez-Maldonado, Carlos García-Artiga, Pedro José Aranda, Rosa Ana Picazo

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Alfredo González-GilDepartment of Physiology, School of Veterinary Medicine, Complutense University of Madrid, 28040 Madrid, Spain.ORCID 0000-0002-5802-8028
Belén Sánchez-MaldonadoDepartment of Animal Medicine and Surgery, School of Veterinary Medicine, Complutense University of Madrid, 28040 Madrid, Spain.ORCID 0000-0001-6330-9484
Carlos García-ArtigaDepartment of Physiology, School of Veterinary Medicine, Complutense University of Madrid, 28040 Madrid, Spain.
Pedro José ArandaDepartment of Animal Medicine and Surgery, School of Veterinary Medicine, Complutense University of Madrid, 28040 Madrid, Spain.
Rosa Ana PicazoDepartment of Physiology, School of Veterinary Medicine, Complutense University of Madrid, 28040 Madrid, Spain.ORCID 0000-0003-0346-5623

Funding

Santander-UCM Research Project Funding Program PR75/18-21600
6 · The paper itself

Abstract

The increasing biomedical and conservation interest in porcine species has driven the development of advanced in vitro follicle culture systems designed to preserve genetic diversity and accurately model key stages of folliculogenesis. This study assessed a three-dimensional (3D) alginate-based system for the in vitro culture of porcine preantral follicles, aiming to overcome the structural limitations of conventional two-dimensional (2D) methods. A total of six experimental groups were established, consisting of group-cultured (four follicles/well) or individually cultured (one follicle/well) follicles maintained either without alginate (0%) or encapsulated in 0.5% or 1% alginate for 14 days in media supplemented with FSH, EGF, and IGF-I, with LH added from day 9. Follicular development was assessed by morphometric evaluation, image-based and histological analyses, and quantification of steroid hormones in media collected every 48 h. Group-cultured follicles encapsulated in 0.5% alginate most effectively maintained their 3D architecture, reached the largest diameters, and progressed more uniformly compared with other groups. In contrast, follicles cultured without alginate rapidly lost structural integrity, showed granulosa cell migration, and decreased in size, whereas those encapsulated in 1% alginate exhibited restricted growth. Estradiol and testosterone concentrations increased over time in the 0.5% alginate group, were lowest without alginate, and intermediate in 1% alginate. Individually cultured follicles exhibited reduced growth and lower total hormone production compared with group-cultured follicles; however, when normalized per-follicle, steroid secretion, particularly in the 0.5% alginate group, was enhanced, indicating increased steroidogenic efficiency on a per-follicle basis. These findings indicate that 0.5% alginate provides an optimal balance between structural support and physiological steroidogenesis during preantral follicle culture. This 3D system improves the biological relevance of porcine follicle culture and may support future applications in reproductive biology, conservation, and genetic resource preservation.

Indexed as

alginateporcinepreantral folliclesteroid hormones

Identifiers

PMID41681357
PMCPMC12896457

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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.