Evidence map›Paper›PMID 38628946›Full record

ArticleFrontiers in veterinary science2024

Exploring altered bovine sperm trajectories by sperm tracking in unconfined conditions.

Luigi Fausto Canonico, Claudia De Clemente, Margarida Fardilha, Ana Filipa Ferreira, Maria Isabella Maremonti, David Dannhauser, Filippo Causa, Paolo Antonio Netti

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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 2 countries.

Luigi Fausto Canonico *Interdisciplinary Research Centre on Biomaterials (CRIB) and Dipartimento di Ingegneria Chimica, Dei Materiali e Della Produzione Industriale, University of Naples "Federico II", Naples, Italy.
Claudia De Clemente *Interdisciplinary Research Centre on Biomaterials (CRIB) and Dipartimento di Ingegneria Chimica, Dei Materiali e Della Produzione Industriale, University of Naples "Federico II", Naples, Italy.
Margarida FardilhaLaboratory of Signal Transduction, Institute for Biomedicine-iBiMED, Medical Sciences Department, University of Aveiro, Aveiro, Portugal.
Ana Filipa FerreiraLaboratory of Signal Transduction, Institute for Biomedicine-iBiMED, Medical Sciences Department, University of Aveiro, Aveiro, Portugal.
Maria Isabella MaremontiInterdisciplinary Research Centre on Biomaterials (CRIB) and Dipartimento di Ingegneria Chimica, Dei Materiali e Della Produzione Industriale, University of Naples "Federico II", Naples, Italy.
David DannhauserInterdisciplinary Research Centre on Biomaterials (CRIB) and Dipartimento di Ingegneria Chimica, Dei Materiali e Della Produzione Industriale, University of Naples "Federico II", Naples, Italy.
Filippo CausaInterdisciplinary Research Centre on Biomaterials (CRIB) and Dipartimento di Ingegneria Chimica, Dei Materiali e Della Produzione Industriale, University of Naples "Federico II", Naples, Italy.
Paolo Antonio NettiInterdisciplinary Research Centre on Biomaterials (CRIB) and Dipartimento di Ingegneria Chimica, Dei Materiali e Della Produzione Industriale, University of Naples "Federico II", Naples, Italy.
University of Naples Federico II · ITUniversity of Aveiro · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mammalian sperm motility is getting more relevant due to rising infertility rates worldwide, generating the need to improve conventional analysis and diagnostic approaches. Nowadays, computer assisted sperm analysis (CASA) technologies represent a popular alternative to manual examination which is generally performed by observing sperm motility in very confined geometries. However, under physiological conditions, sperm describe three-dimensional motility patterns which are not well reconstructed by the limited depth of standard acquisition chambers. Therefore, affordable and more versatile alternatives are needed. Here, a motility analysis in unconfined conditions is proposed. In details, the analysis is characterized by a significant longer duration -with respect to conventional systems- with the aim to observe eventually altered motility patterns. Brightfield acquisition in rectangular glass capillaries captured frozen-thawed bovine spermatozoa which were analyzed by means of a self-written tracking routine and classified in sub-populations, based on their curvilinear velocity. To test the versatility of our approach, cypermethrin -a commonly used pesticides- known to be responsible for changes in sperm motility was employed, assessing its effect at three different time-steps. Experimental results showed that such drug induces an increase in sperm velocity and progressiveness as well as circular pattern formation, likely independent of wall interactions. Moreover, this resulted in a redistribution of sperm with the rapid class declining in number with time, but still showing an overall velocity increase. The flexibility of the approach permits parameter modifications with the experimental needs, allowing us to conduct a comprehensive examination of sperm motility. This adaptability facilitated data acquisition which can be computed at different frame rates, extended time periods, and within deeper observation chambers. The suggested approach for sperm analysis exhibits potential as a valuable augmentation to current diagnostic instruments.

Indexed as

sperm classificationsperm motilitysperm trackingswimming patternsunconfined motion

Identifiers

PMID38628946
PMCPMC11019440
OpenAlexW4393433073

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.