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May 27, 2026Cells0 citationsOpen Access

Extracellular Vesicles in Human Reproduction: Integrating Redox–Mitochondrial Signaling with Multi-Omics and AI-Driven Biomarker Discovery

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SSSofoklis StavrosAGAngeliki GeredeEMEfthalia Moustakli

Key Points

  • This review aims to integrate redox-mitochondrial signaling with multi-omics and AI for biomarker discovery related to human reproduction.
  • Examined the role of extracellular vesicles (EVs) in human reproduction.
  • Suggested multi-omics technologies, including transcriptomics and proteomics, for understanding EVs.
  • Proposed the use of AI and machine learning for predictive analysis in reproductive outcomes.
  • Identified extracellular vesicles as crucial in embryo development and gamete quality.
  • Highlighted the link between oxidative stress and reproductive failure.
  • Discussed the potential of AI in enhancing biomarker discovery for reproductive health.

Abstract

In the human reproductive system, extracellular vesicles (EVs) have been recognized as playing a vital role in mediating cell–cell communication. They are considered critical for embryo development, implantation, gamete interaction, and fertilization. The various cargoes carried by EVs, depending on the physiological and pathological state of the cell, include proteins, lipids, nucleic acids, and mitochondrial components. EVs are recognized as critical carriers of redox-related signals and mitochondrial components, linking oxidative stress (OS) to reproductive failure and influencing gamete quality and embryo competence. Although considerable progress has been made, research remains poorly integrated, despite individual omics technologies providing valuable molecular insights. The use of multi-omics technologies, including transcriptomics, proteomics, metabolomics, and microbiome analysis, has been proposed as a global approach to understanding the complexities associated with EVs and discovering new biomarkers associated with infertility. ML and AI have been proposed to identify predictive signatures linked to ART effectiveness and reproductive outcomes, with a strong capacity to handle high-dimensional data. The review aims to provide an overview of current knowledge on EV-mediated redox–mitochondrial signaling in human reproduction, while highlighting the importance of emerging multi-omics and AI technologies for EV-mediated biomarker development. The review discusses the promise of EVs in the development of minimally invasive diagnostic approaches and therapeutic interventions, as well as the challenges in the standardization, integration, and clinical translation of EV-mediated research. In addition, the review proposes integrating computational approaches to better understand molecular pathways involved in the development of next-generation precision medicine in human reproduction.

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Cite This Study

Stavros et al. (2026) studied this question.

synapsesocial.com/papers/6a168ab40c924ddd1bd59797https://doi.org/10.3390/cells15100955
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