Cited by 90Sperm and Testicular FunctionReproductive Health and TechnologiesMale Reproductive Health Studies

Assessing human sperm morphology: top models, underdogs or biometrics?

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Auger, Jacques·2010·Asian Journal of Andrology

Abstract

The assessment of the percentage of spermatozoa having an 'ideal' morphology using so-called strict method is the method recommended in the latest edition of the World Health Organization (WHO) laboratory manual for semen analysis. This recommendation is a result of the statistical association between 'ideal' sperm morphology and fertility, and of the current general belief that sperm morphology assessment should be used primarily as a fertility tool. The notion of an 'ideal' sperm morphology has persisted despite the very low percentage of such spermatozoa in the semen of fertile men, a subject of intense controversy. The detailed categorization of each abnormal spermatozoon has thus, for a long time, been considered optional and partially redundant, an idea which is reflected in the earlier editions of the WHO manual. However, several recent studies have shown the importance of carefully assessing abnormal sperm morphology for use in the diagnosis of infertility, to determine fertility prognosis, and for basic or public health studies. One approach, which combines videomicroscopy and computer vision, and is the only approach able to assess the continuum of sperm biometrics, has been used successfully in several recent clinical, basic and toxicology studies. In summary, the visual assessment of detailed sperm morphology-including the categorization of anomalies allowing arithmetically derived indices of teratozoospermia-and the more modern computer-based approaches, although often considered to be redundant, are in fact complementary. The choice of the most appropriate method depends on the field of investigation (clinical, research, toxicology) and the problem being addressed. Each approach has advantages as well as certain limitations, which will be discussed briefly herein.

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  • Other genetic causes of sperm morphological abnormalities include mutations of SUN5, SPATA20, ACTL7A, and CCIN, which result in pinhead spermatozoa, acephalic spermatozoa syndrome, bubble-shaped acrosome, and severe head malformations, respectively.

    “Other genetic causes of sperm morphological abnormalities include mutations of the SUN5, SPATA20, ACTL7A, and CCIN genes which result in pinhead spermatozoa and acephalic spermatozoa syndrome, bubble-shaped acrosome and severe head malformations, respectively (37,48,49,50).”

    From Isolated teratozoospermia: revisiting its relevance in male infertility: a narrative review (2024) · cites this paper as [37]

    Section 4 says several sperm abnormalities have a precise genetic origin, and the References list a study of acephalic spermatozoa described as a syndrome of genetic origin. But our copy does not identify SUN5, SPATA20, ACTL7A, or CCIN or link their mutations to the specific abnormalities claimed. (LLM, conf=0.84)

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Cited by

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Authors
Auger, J.
Affiliations
Hôpital Cochin (FR)
Corresponding author
Auger, Jacques
Venue
Asian Journal of Andrology
Publisher
Medknow
Published
2010-01
Volume
12
Issue
1
Pages
36-46
ISSN
  • 1008-682X (ISSN-L)
  • 1745-7262
OpenAlex
W2100182972
Cited by
90
References
2
Citations by year
2025: 4 · 2024: 4 · 2023: 8 · 2022: 1 · 2021: 7 · 2020: 3 · 2019: 10 · 2018: 10 · 2017: 5 · 2016: 5 · 2015: 6 · 2014: 8 · 2013: 7 · 2012: 2
FWCI
7.24
Type
journal article
Language
en
Open access
Licence
cc-by-nc-sa
Locations
  • Asian Journal of Andrology (publishedVersion, cc-by-nc-sa)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Reproductive Medicine › Sperm and Testicular Function
  • Health Sciences › Medicine › Reproductive Medicine › Reproductive Health and Technologies
  • Health Sciences › Health Professions › General Health Professions › Male Reproductive Health Studies
Keywords
sperm morphology assessment, abnormal spermatozoa, teratozoospermia, video microscopy, computer vision, male infertility diagnosis, fertility prediction, sperm morphology classification
MeSH terms
Biometry, Humans, Male, Manuals as Topic, Spermatozoa, World Health Organization, Semen Analysis

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