Deciphering embryo-maternal cross-talk: advanced in vitro approaches.
Gislaine Dos Santos1, María Gemma Millán de la Blanca1,2, Yulia Nathaly Cajas1,3
1Departamento de Reproducción Animal, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria - INIA, Consejo Superior de Investigaciones Científicas - CSIC, Madrid, Spain.
Animal Reproduction
|September 11, 2025
Summary
This review explores various in vitro systems for studying embryo-maternal communication, crucial for implantation and pregnancy success. Advanced models like organoids and organ-on-a-chip platforms better mimic in vivo conditions for improved reproductive technologies.
Area of Science:
- Reproductive Biology and Developmental Science
- Biomedical Engineering
- Cell Biology
Background:
- Embryo-maternal communication is vital for mammalian reproduction, influencing development, implantation, and pregnancy outcomes.
- Understanding this dialogue is key to improving fertility treatments and reducing early pregnancy loss.
Purpose of the Study:
- To review and compare diverse in vitro systems used to study embryo-maternal communication.
- To provide a framework for selecting appropriate models based on research needs.
- To highlight the role of extracellular vesicles in mediating this communication.
Main Methods:
- Review of conventional 2D cell cultures, fluid co-cultures, explant cultures, air-liquid interface systems, 3D organoids, and organ-on-a-chip platforms.
- Analysis of the advantages and limitations of each system.
- Examination of extracellular vesicles (EVs) as signaling mediators.
Main Results:
- 2D cultures are simple but lack in vivo complexity.
- Advanced models (organoids, organ-on-a-chip) better replicate the 3D structure, cellular functions, and dynamic conditions of the maternal environment.
- Extracellular vesicles (EVs) are identified as key molecular transporters in embryo-maternal signaling.
Conclusions:
- Sophisticated in vitro systems are essential for accurately studying embryo-maternal cross-talk.
- Integrating these models with advanced analytics can enhance understanding and lead to better assisted reproductive technologies.
- Continued refinement of these systems will elucidate mechanisms of successful implantation and early development.


