ReviewBiology of reproduction2024
Biomarker-based human and animal sperm phenotyping: the good, the bad and the ugly†.
Review in Biology of reproduction, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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
8 citing papers in PubMed, 16 citations in OpenAlex.
- Doppler Waveform Alterations of the Supratesticular Artery and Associated Semen Biomarkers in Infertile Male Dromedary Camels.Animals : an open access journal from MDPI · 2026Article
- Deep learning-enabled morphology analysis of bovine sperm for label-free imaging flow cytometry.Frontiers in veterinary science · 2026Article
- NT5C1B Improves Fertility of Boar Spermatozoa by Enhancing Quality and Cryotolerance During Cryopreservation.Animals : an open access journal from MDPI · 2025Article
- Sperm Membrane Stability: In-Depth Analysis from Structural Basis to Functional Regulation.Veterinary sciences · 2025Review
- Differential Activity and Expression of Proteasome in Seminiferous Epithelium During Mouse Spermatogenesis.International journal of molecular sciences · 2025Article
- Exploring the full potential of sperm function with nanotechnology tools.Animal reproduction · 2024Article
- A time for sex: circadian regulation of mammalian sexual and reproductive function.Frontiers in neuroscience · 2024Review
- Sialic Acids and Tetraspanins: An Insight into their Potential as Indicators of Human Sperm Quality.American journal of men's healthArticle
Corrections and comments
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Authors and funding
9 authors at 5 institutions in 3 countries.
Funding
Abstract
Conventional, brightfield-microscopic semen analysis provides important baseline information about sperm quality of an individual; however, it falls short of identifying subtle subcellular and molecular defects in cohorts of "bad," defective human and animal spermatozoa with seemingly normal phenotypes. To bridge this gap, it is desirable to increase the precision of andrological evaluation in humans and livestock animals by pursuing advanced biomarker-based imaging methods. This review, spiced up with occasional classic movie references but seriously scholastic at the same time, focuses mainly on the biomarkers of altered male germ cell proteostasis resulting in post-testicular carryovers of proteins associated with ubiquitin-proteasome system. Also addressed are sperm redox homeostasis, epididymal sperm maturation, sperm-seminal plasma interactions, and sperm surface glycosylation. Zinc ion homeostasis-associated biomarkers and sperm-borne components, including the elements of neurodegenerative pathways such as Huntington and Alzheimer disease, are discussed. Such spectrum of biomarkers, imaged by highly specific vital fluorescent molecular probes, lectins, and antibodies, reveals both obvious and subtle defects of sperm chromatin, deoxyribonucleic acid, and accessory structures of the sperm head and tail. Introduction of next-generation image-based flow cytometry into research and clinical andrology will soon enable the incorporation of machine and deep learning algorithms with the end point of developing simple, label-free methods for clinical diagnostics and high-throughput phenotyping of spermatozoa in humans and economically important livestock animals.
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What OpenQuestion holds
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.