Skip to content
EvidenceHelixEvidenceLib · Scientific Encyclopedia
⌘ K

Scientific library

EvidenceLib encyclopediaAll articles A–Z2,835Open textbooks209Open-access articles1,406Cancer study catalog458How it is made

My workspace this browser

Saved pages0Notes & annotations0

Recently viewed

Explore by field

Cancer and Oncology182Genetics and Genomics170Neuroscience185Cardiovascular Medicine180Immunology142Pharmacology173Molecular Biology161Infectious Diseases150Rare and Inherited Diseases181Clinical Research173Anatomy and Physiology613Drugs and Chemicals621Psychiatry and Psychology185Public Health and Nutrition178Diagnostics and Medical Technology125Respiratory Medicine113Digestive System and Liver91Metabolism and Endocrine Disease177Bones, Joints, Muscles and Skin213Kidney, Urology and Women's Health173Eye, Ear, Nose and Throat55
Plans & pricingCompare EvidenceHelix workspace plans
Library›EvidenceLib›Diagnostics and Medical Technology›Semen Analysis

Continue where you left off ()

Explore more with EvidenceHelix Workspace

Compare studies, analyze evidence and create research reports with premium tools.

Explore Researcher plans

Research reading room

Semen Analysis

Diagnostics and Medical Technology · NLM MeSH · updated 2026-11-04 · version 1

Citations verified against PubMedNot yet clinician-reviewed10 referencesApproximately 5 min read

The quality of semen, an indicator of male fertility, can be determined by semen volume, pH, sperm concentration (sperm count), total sperm number, sperm viability, sperm vigor (sperm motility), normal sperm morphology, acrosome i

Table of Contents

1. Definition2. Research landscape3. Reading the evidence4. Open-access studies5. Key reviews6. References7. About this article

Definition and research guide

This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.

Content available: 4 complete abstracts (837 words), 10 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.

Definition

The quality of semen, an indicator of male fertility, can be determined by semen volume, pH, sperm concentration (sperm count), total sperm number, sperm viability, sperm vigor (sperm motility), normal sperm morphology, acrosome integrity, and the concentration of white blood cells.

Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.

Also known as: Semen Analyses; Semen Quality Analysis; Analyses, Semen Quality; Analysis, Semen Quality; Quality Analyses, Semen; Semen Quality Analyses; Semen Quality; Qualities, Semen.

Where it fits in the MeSH classification

Broader topics
Clinical Laboratory Techniques
Narrower topics
Sperm Count; Sperm Motility

Related concepts

  • Semen
  • Sperm Count
  • Sperm Motility
  • Acrosome
  • White Blood Cells

Research landscape

PubMed indexes 33,060 records tagged with the MeSH heading “Semen Analysis” (counts retrieved 2026-11-04). 7,834 of them (23.7%) were published from 2020 onward, and the busiest period so far is 2010-2019 with 9,712 records.

Reviews account for 2,306 records (7.0%) and meta-analyses for 268. Randomized controlled trials number 593 (1.8%) as a share of all records on the topic. Randomized trials make up only a small share of this literature, so much of what is known comes from laboratory, observational or descriptive work.

PubMed records by publication periodthrough 1999: 9,458 records; 2000-2009: 6,056 records; 2010-2019: 9,712 records; 2020 onward: 7,834 records9,458through 19996,0562000-20099,7122010-20197,8342020 onward
Records in PubMed indexed with this heading, by publication period. Real counts from NCBI E-utilities; the final period covers only part of the current year. Volume reflects how much has been published, not how strong the evidence is.
Show the data
PeriodRecords
through 19999,458
2000-20096,056
2010-20199,712
2020 onward7,834
Share of records by publication typeReviews: 7.0 percent; Meta-analyses: 0.8 percent; Randomized controlled trials: 1.8 percentReviews7.0% (2,306)Meta-analyses0.8% (268)Randomized controlled trials1.8% (593)
Share of all PubMed records on this heading that carry each publication type. Types overlap with other records, so the shares do not sum to 100%.
Publication-type chart data
Publication types among 33,060 PubMed records
TypeRecordsShare
Reviews2,3067.0%
Meta-analyses2680.8%
Randomized controlled trials5931.8%

Method: PubMed query "Semen Analysis"[MeSH Terms] with publication-type and date filters, retrieved 2026-11-04.

Reading the evidence in diagnostics and medical technology

A test or device is judged by how well it detects a condition, how often it gives false alarms or misses cases, and whether using it improves outcomes for people. Accuracy depends on who is tested and how common the condition is, so a test that performs well in a specialist hospital can perform differently in the community. Check the reference standard, the population studied, the sensitivity and specificity and whether results were confirmed in a separate group.

Evidence from open-access studies

These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.

Study comparison — selected abstracts, not a systematic review
Study / authorsYearSource label / designEurope PMC citationsLicence / source
Determinant genetic markers of semen quality in livestock
Khan MZ, Chen W, Naz S, Liu X, Liang H, Chen Y, et al.
2024Review article
Design not recorded in structured metadata
22cc by
PMID 39429738 · DOI · PMC11489916
Towards a kingdom of reproductive life - the core sperm proteome
Pini T, Nixon B, Karr TL, Teperino R, Sanz-Moreno A, da Silva-Buttkus P, et al.
2025Research article
Design not recorded in structured metadata
17cc by
PMID 40298292 · DOI · PMC12070448
Quantitative Phosphoproteomic Profiling of Mouse Sperm Maturation in Epididymis Revealed Kinases Important for Sperm Motility
Zhang X, Tu H, Zhou X, Wang B, Guo Y, Situ C, et al.
2024Research article
Design not recorded in structured metadata
14cc by
PMID 38977202 · DOI · PMC11338950
Meta-GWAS of Pig Semen Quality Traits Reveals Conserved Genes Regulating Mammalian Fertility
Lin Q, Cai X, Zhong Z, Li T, Chen X, Ayalew W, et al.
2026Research article
Design not recorded in structured metadata
3cc by
PMID 41504393 · DOI · PMC13042736

Determinant genetic markers of semen quality in livestock [1]

Review article Khan MZ, Chen W, Naz S, Liu X, Liang H, Chen Y, et al. · · 2024 · cited 22 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
The reproductive efficiency of livestock is crucial for agricultural productivity and economic sustainability.
Closing excerpt
The review underscores the importance of integrating genetic insights into breeding strategies to optimize reproductive efficiency and ensure the sustainable development of livestock industries.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (171 words)

The reproductive efficiency of livestock is crucial for agricultural productivity and economic sustainability. One critical factor in successful fertilization and the viability of offspring is the quality of semen. Poor semen quality, especially in frozen-thawed semen used in artificial insemination (AI) have been shown to influence conception outcomes, resulting a negative impact on livestock production. Recent advancements in genetic research have identified specific markers linked to semen quality traits in various livestock species, such as cattle, sheep, goats, pigs, buffalo, and equines. These genetic markers are essential in screening males for breeding suitability, which in turn enhances selective breeding programs. Understanding these markers is crucial for improving reproductive performance and increasing productivity in livestock populations. This review offers a comprehensive overview of the genetic markers associated with semen quality in key livestock. It explores the underlying genetic mechanisms and their practical implications in animal breeding and management. The review underscores the importance of integrating genetic insights into breeding strategies to optimize reproductive efficiency and ensure the sustainable development of livestock industries.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 39429738 · DOI · PMC11489916

Towards a kingdom of reproductive life - the core sperm proteome [2]

Research article Pini T, Nixon B, Karr TL, Teperino R, Sanz-Moreno A, da Silva-Buttkus P, et al. · · 2025 · cited 17 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
In briefSperm function is essential for fertility across humans, agriculture and wildlife, yet comparative studies remain limited.
Closing excerpt
io/ShinySpermKingdom/).
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (290 words)

In briefSperm function is essential for fertility across humans, agriculture and wildlife, yet comparative studies remain limited. This study integrates multi-species proteomic data to identify a core sperm proteome, uncovering conserved molecular pathways and validating novel sperm proteins critical for motility and fertilization.AbstractReproductive biology is often considered in three siloed research areas; humans, agriculture and wildlife. Yet, each demand solutions for treatment of subfertility, fertility biomarkers, development of assisted reproductive technologies and effective contraception. To efficiently develop solutions applicable to all species, we must improve our understanding of the common biology underpinning reproductive processes. Accordingly, we integrate proteomic data from 29 publicly available datasets (>2 TB of data) to characterize mature sperm proteomes spanning 12 vertebrate species, identifying 13,853 proteins. Although human and mouse have relatively well-annotated sperm proteomes, many non-model species rely heavily on predicted or homology-inferred identifications. Despite variation in proteome size, composition and reproductive strategies, comparative analyses revealed that vertebrates share a fundamental molecular framework essential for sperm function. A core set of 45 species-level and 135 order-level conserved proteins mapped to critical processes, including energy generation, acrosome function and novel signalling pathways (BAG2 and FAT10). Knockout mouse models further validate the significance of these conserved proteins, demonstrating that their disruption impairs sperm motility and fertilization capacity. Moreover, we discovered loss-of-function variants of two additional core sperm proteins in clinical samples, linking them to severe sperm defects. Intriguingly, in-silico analysis reveals function-driven, context-dependent diversity surpassing evolutionary patterns. Collectively, these results highlight the value of integrating publicly available datasets and underscore the need for improved genome/proteome annotation in non-model species in mammals. This work provides a foundation for developing cross-species strategies to enhance fertility treatments, assisted reproductive technologies and conservation efforts. All data are available via ShinySpermKingdom (https://reproproteomics.shinyapps.io/ShinySpermKingdom/).

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 40298292 · DOI · PMC12070448

Quantitative Phosphoproteomic Profiling of Mouse Sperm Maturation in Epididymis Revealed Kinases Important for Sperm Motility [3]

Research article Zhang X, Tu H, Zhou X, Wang B, Guo Y, Situ C, et al. · · 2024 · cited 14 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Transcriptionally and translationally silent sperm undergo functional maturation during epididymis traverse, which provides sperm ability to move and is crucial for successful fertilization.
Closing excerpt
This study systemically characterized the intricate phosphorylation regulation during sperm maturation in the mouse epididymis, which can be a basis to elucidate sperm motility acquisition, and to offer potential targets for male contraception and the treatment of male infertility.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (172 words)

Transcriptionally and translationally silent sperm undergo functional maturation during epididymis traverse, which provides sperm ability to move and is crucial for successful fertilization. However, the molecular mechanisms governing sperm maturation remain poorly understood, especially at the protein post-translational modification level. In this study, we conducted a comprehensive quantitative phosphoproteomic analysis of mouse epididymal sperm from different regions (caput, corpus, and cauda) to unveil the dynamics of protein phosphorylation during sperm maturation. We identified 6447 phosphorylation sites in 1407 phosphoproteins, and 345 phosphoproteins were differentially phosphorylated between caput and cauda sperm. Gene ontology and KEGG pathway analyses showed enrichment of differentially phosphorylated proteins in energy metabolism, sperm motility, and fertilization. Kinase substrate network analysis followed by inhibition assay and quantitative phosphoproteomics analysis showed that TSSK2 kinase is important for sperm motility and progressive motility. This study systemically characterized the intricate phosphorylation regulation during sperm maturation in the mouse epididymis, which can be a basis to elucidate sperm motility acquisition, and to offer potential targets for male contraception and the treatment of male infertility.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 38977202 · DOI · PMC11338950

Meta-GWAS of Pig Semen Quality Traits Reveals Conserved Genes Regulating Mammalian Fertility [4]

Research article Lin Q, Cai X, Zhong Z, Li T, Chen X, Ayalew W, et al. · · 2026 · cited 3 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Semen quality serves as a vital indicator of male fertility, yet its underlying genetic and regulatory mechanisms remain poorly understood.
Closing excerpt
This study provides novel insights into semen quality traits in mammals, which will provide candidate genes for pig selective breeding and potential targets for human male infertility research.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (204 words)

Semen quality serves as a vital indicator of male fertility, yet its underlying genetic and regulatory mechanisms remain poorly understood. Here, 1.15 million records of six semen quality traits from 14 210 boars in four distinct breeds were collected. These traits have low to moderate heritability (0.12-0.26), and are genetically correlated with growth traits like average daily gain. Genome-wide association study (GWAS) and multi-breed meta-analysis detected 234 loci associated with semen quality. Systematic integration of the Pig Genotype-Tissue Expression resource with these GWAS loci allowed the prioritization of 93 causal variants targeting 134 genes. For instance, the expression quantitative trait loci (eQTL) of NAXE in multiple tissues were colocalized with a GWAS loci of the number of sperms, while eQTL of LEFTY2 in the testis was exclusively colocalized with in a GWAS loci of semen volume. Through examining GWAS of semen quality traits in cattle and human complex traits, the ortholog genes (e.g., AURKAIP1 and ADRA2A) significant in pigs also regulated bovine semen quality, and were significantly enriched for heritability of human birth weight and height. This study provides novel insights into semen quality traits in mammals, which will provide candidate genes for pig selective breeding and potential targets for human male infertility research.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 41504393 · DOI · PMC13042736

Key reviews and meta-analyses

The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.

  • Research article Temporal trends in sperm count: a systematic review and meta-regression analysis [5]
    Levine H, Jørgensen N, Martino-Andrade A, Mendiola J, Weksler-Derri D, Mindlis I, et al. · Hum Reprod Update · 2017 · cited 931 times (Europe PMC)
  • Research article Temporal trends in sperm count: a systematic review and meta-regression analysis of samples collected globally in the 20th and 21st centuries [6]
    Levine H, Jørgensen N, Martino-Andrade A, Mendiola J, Weksler-Derri D, Jolles M, et al. · Hum Reprod Update · 2023 · cited 455 times (Europe PMC)
  • Research article The role of mitochondria in energy production for human sperm motility [7]
    Piomboni P, Focarelli R, Stendardi A, Ferramosca A, Zara V · Int J Androl · 2012 · cited 326 times (Europe PMC)
  • Research article Dietary patterns, foods and nutrients in male fertility parameters and fecundability: a systematic review of observational studies [8]
    Salas-Huetos A, Bulló M, Salas-Salvadó J · Hum Reprod Update · 2017 · cited 312 times (Europe PMC)
  • Research article Consistent age-dependent declines in human semen quality: a systematic review and meta-analysis [9]
    Johnson SL, Dunleavy J, Gemmell NJ, Nakagawa S · Ageing Res Rev · 2015 · cited 257 times (Europe PMC)
  • Research article Formation and function of sperm tail structures in association with sperm motility defects [10]
    Lehti MS, Sironen A · Biol Reprod · 2017 · cited 196 times (Europe PMC)

References

  1. Khan MZ, Chen W, Naz S, Liu X, Liang H, Chen Y, et al.. Determinant genetic markers of semen quality in livestock. . 2024. PMID 39429738 · DOI · PMC11489916
  2. Pini T, Nixon B, Karr TL, Teperino R, Sanz-Moreno A, da Silva-Buttkus P, et al.. Towards a kingdom of reproductive life - the core sperm proteome. . 2025. PMID 40298292 · DOI · PMC12070448
  3. Zhang X, Tu H, Zhou X, Wang B, Guo Y, Situ C, et al.. Quantitative Phosphoproteomic Profiling of Mouse Sperm Maturation in Epididymis Revealed Kinases Important for Sperm Motility. . 2024. PMID 38977202 · DOI · PMC11338950
  4. Lin Q, Cai X, Zhong Z, Li T, Chen X, Ayalew W, et al.. Meta-GWAS of Pig Semen Quality Traits Reveals Conserved Genes Regulating Mammalian Fertility. . 2026. PMID 41504393 · DOI · PMC13042736
  5. Levine H, Jørgensen N, Martino-Andrade A, Mendiola J, Weksler-Derri D, Mindlis I, et al.. Temporal trends in sperm count: a systematic review and meta-regression analysis. Hum Reprod Update. 2017. PMID 28981654 · DOI · PMC6455044
  6. Levine H, Jørgensen N, Martino-Andrade A, Mendiola J, Weksler-Derri D, Jolles M, et al.. Temporal trends in sperm count: a systematic review and meta-regression analysis of samples collected globally in the 20th and 21st centuries. Hum Reprod Update. 2023. PMID 36377604 · DOI
  7. Piomboni P, Focarelli R, Stendardi A, Ferramosca A, Zara V. The role of mitochondria in energy production for human sperm motility. Int J Androl. 2012. PMID 21950496 · DOI
  8. Salas-Huetos A, Bulló M, Salas-Salvadó J. Dietary patterns, foods and nutrients in male fertility parameters and fecundability: a systematic review of observational studies. Hum Reprod Update. 2017. PMID 28333357 · DOI
  9. Johnson SL, Dunleavy J, Gemmell NJ, Nakagawa S. Consistent age-dependent declines in human semen quality: a systematic review and meta-analysis. Ageing Res Rev. 2015. PMID 25462195 · DOI
  10. Lehti MS, Sironen A. Formation and function of sperm tail structures in association with sperm motility defects. Biol Reprod. 2017. PMID 29024992 · DOI

About this article

Sources
NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
Verification
Every reference was resolved against PubMed on 2026-11-04; title, year and DOI matched.
Review state
automated source verified; no human expert review has been recorded yet.
Version
1, last updated 2026-11-04.

See how EvidenceLib is built. Spotted an error? Email support@evidencehelix.com.

Evidence strength

EvidenceHelix's computed view of the study designs behind this topic: how common meta-analyses, randomized trials and reviews are, how recent the literature is, and a plain-language reading. It describes the design mix of the literature. It is not a quality appraisal of any study, and it is not medical advice.

Included with the Researcher plan

Reading every article stays free. This computed view is part of the paid plans.

See plans Sign in

Your notes

Notes and highlights stay in this browser only; they are not sent to EvidenceHelix.

Related research topics

  • Sperm MotilityMolecular Biology
  • Leukocyte CountMolecular Biology
  • Blood Urea NitrogenDiagnostics and Medical Technology
  • Multilocus Sequence TypingGenetics and Genomics
  • Glucose Tolerance TestDiagnostics and Medical Technology
  • Continuous Glucose MonitoringDiagnostics and Medical Technology

All 110 articles in Diagnostics and Medical Technology →

At a glance

33,060
PubMed records on this heading
24%
published since 2020
2,306
review articles
593
randomized trials
10
verified references below

Counts come from PubMed on 2026-11-04; they show how much has been written, not how strong the evidence is.

Related topics See all →

  • Sperm MotilityMolecular Biology
  • Leukocyte CountMolecular Biology
  • Blood Urea NitrogenDiagnostics and Medical Technology
  • Multilocus Sequence TypingGenetics and Genomics
  • Glucose Tolerance TestDiagnostics and Medical Technology

My notes & annotations (0)

Nothing yet. Select text and press Highlight, or write a note in the Notes tab. Stored in this browser only.

Sources

  • NLM MeSH record ↗
  • PubMed search used ↗

EvidenceLib is a research-education resource, not medical advice. It does not diagnose, prescribe or recommend starting, stopping or changing any treatment. Talk to a qualified clinician about your own situation. Methods, sources and licences · Rights and removal requests · Legal · Support