ReviewOpen biology2026
Cracking the fertility code: a comprehensive review of biomarkers and functional measures.
Review in Open biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Human fertility is regulated by a complex, integrated network of biological systems that collectively determine reproductive competence in males and females. Conventional fertility assessment relies on established clinical biomarkers, including reproductive hormone profiles, gamete-based functional assessments and imaging indicators of gonadal structure and function. While clinically informative, these measures capture only partial views of molecular and cellular processes underlying gametogenesis and reproductive capacity. Recent advances in reproductive medicine have expanded the biomarker landscape through genetic and epigenetic profiling, enabling identification of pathogenic variants, chromosomal abnormalities and regulatory modifications associated with infertility syndromes. In parallel, multi-omics approaches are increasingly being used to characterize molecular networks governing gamete development, meiotic integrity, DNA repair and cellular differentiation. This review presents a comprehensive synthesis of fertility biomarkers, spanning endocrine, genetic, epigenetic, structural, metabolic and inflammatory systems. Current evidence is examined on endocrine and reproductive hormone biomarkers, followed by an investigation of genetic and epigenetic markers of reproductive dysfunction, as well as structural and imaging-based biomarkers and inflammatory and metabolic indicators. Finally, emerging biomarker platforms are highlighted as key advances towards precision reproductive medicine. Collectively, these developments support a shift towards a more comprehensive, biomarker-driven framework for the evaluation and management of infertility.
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Registered trials
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.