Evidence map›Paper›PMID 33362711›Full record

ArticleFrontiers in endocrinology2020

Bio-Functional Sperm Parameters: Does Age Matter?

Rosita A Condorelli, Sandro La Vignera, Federica Barbagallo, Angela Alamo, Laura M Mongioì, Rossella Cannarella, Antonio Aversa, Aldo E Calogero

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
2.4field-weighted citation impact, top 11% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Age-Associated Metabolomic Changes in Human Spermatozoa.International journal of molecular sciences · 2026
    Article
  5. Age-Associated Proteomic Changes in Human Spermatozoa.International journal of molecular sciences · 2025
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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

8 authors at 2 institutions in 1 country.

Rosita A CondorelliDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Sandro La VigneraDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Federica BarbagalloDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Angela AlamoDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Laura M MongioìDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Rossella CannarellaDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Antonio AversaDepartment of Experimental and Clinical Medicine, Magna Graecia University of Catanzaro, Catanzaro, Italy.
Aldo E CalogeroDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
University of Catania · ITMagna Graecia University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evaluation of biofunctional sperm parameters can explain some cases of idiopathic male infertility. Among these, sperm DNA fragmentation (fDNA) is the most studied biofunctional sperm parameter. Mitochondrial membrane potential (MMP) correlates positively with sperm motility, the evaluation of sperm apoptosis by flow cytometry allows us to identify a population of spermatozoa not recognizable at the optical microscopy and finally, lipid peroxidation (LP) and mitochondrial superoxide levels measurements are rational oxidative stress indices. Male age seems to affect sperm concentration and sperm fDNA. For these reasons, this study was undertaken to evaluate the correlation, if any, between male age and biofunctional sperm parameters evaluating their possible impact on fDNA. To accomplish this, MMP, degree of chromatin compactness, sperm apoptosis/vitality, fDNA, LP, and mitochondrial superoxide levels were evaluated by flow cytometry in a cohort of 874 men. A significant negative correlation was found between age and the percentage of alive spermatozoa (r = -0.75, p < 0.05). The percentage of spermatozoa with low MMP (L-MMP) correlated positively with the percentage of spermatozoa with abnormal chromatin compactness (r = 0.24, p < 0.05). Spermatozoa with abnormal chromatin compactness and L-MMP correlated negatively with the percentage of alive spermatozoa (r = 0.83, p < 0.05) and positively with spermatozoa with PS externalization (r = 0.13, p < 0.01). The percentage of alive spermatozoa correlated negatively with both the percentage of spermatozoa with PS externalization (r = 0.24, p < 0.01) and of the spermatozoa with fDNA (r = 0.10, p < 0.05). Spermatozoa with PS externalization correlated positively with the percentage of spermatozoa with fDNA (r = 0.09, p < 0.05). Spermatozoa with LP correlated positively with the percentage of spermatozoa with increased mitochondrial superoxide (r = 0.11, p < 0.01) In conclusion, these findings in a large number of men suggest that age, mitochondrial damage, and alteration of chromatin compactness could activate the apoptotic cascade which could result in an increased fDNA rate.

Indexed as

AdolescentAdultAgedAged, 80 and overAge FactorsApoptosisChildChild, PreschoolChromatinDNA FragmentationHumansLipid PeroxidationMaleMembrane Potential, MitochondrialMiddle AgedSpermatozoaChromatinalive spermatozoamale agesperm apoptosisspermatozoasperm DNA fragmentationsperm lipid peroxidationsperm mitochondrial membrane potential

Identifiers

PMID33362711
PMCPMC7761869
OpenAlexW3112813377

What OpenQuestion holds

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Registered trials

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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.