Biomarker-based human and animal sperm phenotyping: the good, the bad and the ugly

Author:

Sutovsky Peter123,Hamilton Lauren E1,Zigo Michal1,Ortiz D’Avila Assumpção Mayra E145,Jones Alexis1,Tirpak Filip1,Agca Yuksel67,Kerns Karl8,Sutovsky Miriam1

Affiliation:

1. Division of Animal Sciences, University of Missouri , Columbia MO , USA

2. Department of Obstetrics , Gynecology and Women’s Health, , Columbia MO , USA

3. University of Missouri , Gynecology and Women’s Health, , Columbia MO , USA

4. Department of Animal Reproduction , School of Veterinary Medicine and Animal Science, , São Paulo, SP , Brazil

5. University of São Paulo , School of Veterinary Medicine and Animal Science, , São Paulo, SP , Brazil

6. Department of Veterinary Pathobiology , College of Veterinary Medicine, , Columbia, MO , USA

7. University of Missouri , College of Veterinary Medicine, , Columbia, MO , USA

8. Department of Animal Science, Iowa State University , Ames, IA , USA

Abstract

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.

Funder

USDA NIFA Animal Breeding, Genetics & Genomics

USDA NIFA Animal Reproduction

Publisher

Oxford University Press (OUP)

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