Evidence map›Paper›PMID 38640912›Full record

ReviewBiology of reproduction2024

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

Peter Sutovsky, Lauren E Hamilton, Michal Zigo, Mayra E Ortiz D'Avila Assumpção, Alexis Jones, Filip Tirpak, Yuksel Agca, Karl Kerns, Miriam Sutovsky

Open access · greenAbstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
8.6field-weighted citation impact, top 2% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 16 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 3 countries.

Peter SutovskyDivision of Animal Sciences, University of Missouri, Columbia MO, USA.
Lauren E HamiltonDivision of Animal Sciences, University of Missouri, Columbia MO, USA.
Michal ZigoDivision of Animal Sciences, University of Missouri, Columbia MO, USA.
Mayra E Ortiz D'Avila AssumpçãoDivision of Animal Sciences, University of Missouri, Columbia MO, USA.
Alexis JonesDivision of Animal Sciences, University of Missouri, Columbia MO, USA.
Filip TirpakDivision of Animal Sciences, University of Missouri, Columbia MO, USA.
Yuksel AgcaDepartment of Veterinary Pathobiology, College of Veterinary Medicine, University of Missouri, Columbia, MO, USA.
Karl KernsDepartment of Animal Science, Iowa State University, Ames, IA, USA.
Miriam SutovskyDivision of Animal Sciences, University of Missouri, Columbia MO, USA.
University of Missouri · USIowa State University · USMissouri College · USUniversidade de São Paulo · BRUniversity of Missouri Health System · US

Funding

USDA NIFA Animal Breeding, Genetics & Genomics 2023-67015-39262USDA NIFA Animal Reproduction 2022-67015-36298
6 · The paper itself

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.

Indexed as

BiomarkersPhenotypeSpermatozoaAnimalsHumansMaleSemen AnalysisBiomarkersbiomarkerfertilityphenomicsproteomesperm

Identifiers

PMID38640912
PMCPMC11180624
OpenAlexW4394964104

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.