Evidence map›Paper›PMID 39195645›Full record

ArticleToxics2024

Innovative Approach for Human Semen Quality Assessment Based on Volatilomics.

Simonetta Capone, Angiola Forleo, Antonio Vincenzo Radogna, Valentina Longo, Giulia My, Alessandra Genga, Alessandra Ferramosca, Giuseppe Grassi, Flavio Casino, Pietro Siciliano and 4 more

Abstract read
In one paragraph

Article in Toxics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Simonetta CaponeNational Research Council, Institute for Microelectronics and Microsystems (CNR-IMM), 73100 Lecce, Italy.ORCID 0000-0001-6448-9261
Angiola ForleoNational Research Council, Institute for Microelectronics and Microsystems (CNR-IMM), 73100 Lecce, Italy.ORCID 0000-0003-2291-8675
Antonio Vincenzo RadognaNational Research Council, Institute for Microelectronics and Microsystems (CNR-IMM), 73100 Lecce, Italy.ORCID 0000-0002-7305-5614
Valentina LongoNational Research Council, Institute for Microelectronics and Microsystems (CNR-IMM), 73100 Lecce, Italy.ORCID 0000-0002-5763-8879
Giulia MyNational Research Council, Institute for Microelectronics and Microsystems (CNR-IMM), 73100 Lecce, Italy.ORCID 0000-0002-2662-6920
Alessandra GengaDepartment of Biological and Environmental Sciences and Technologies, University of Salento, 73100 Lecce, Italy.ORCID 0000-0003-1172-0735
Alessandra FerramoscaDepartment of Experimental Medicine, University of Salento, 73100 Lecce, Italy.ORCID 0000-0002-8251-9652
Giuseppe GrassiDepartment of Engineering for Innovation, University of Salento, 73100 Lecce, Italy.
Flavio CasinoNational Research Council, Institute for Microelectronics and Microsystems (CNR-IMM), 73100 Lecce, Italy.
Pietro SicilianoNational Research Council, Institute for Microelectronics and Microsystems (CNR-IMM), 73100 Lecce, Italy.ORCID 0000-0002-1312-4593
Tiziana NotariReproductive Medicine Unit of Check Up Polydiagnostic Center, 84131 Salerno, Italy.ORCID 0000-0002-5968-8415
Sebastiana PappalardoReproduction and Fertility Center, 00128 Rome, Italy.
Marina PiscopoDepartment of Biology, University of Naples Federico II, 80138 Naples, Italy.ORCID 0000-0003-0560-6952
Luigi MontanoAndrology Unit and Service of Lifestyle Medicine in UroAndrology, "S. Francesco d'Assisi" Hospital, Oliveto Citra, 84020 Salerno, Italy.ORCID 0000-0001-5670-9439

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The volatilome profile of some biofluids (blood, urine, and human semen) identified by Solid-Phase Microextraction-Gas Chromatography/Mass Spectrometry (SPME-GC/MS) and collected from young men living in two high-pollution areas in Italy, i.e., Land of Fires and Valley of Sacco River, have been coupled to sperm parameters obtained by spermiogram analysis to build general multiple regression models. Panels of volatile organic compounds (VOCs) have been selected to optimize the models and used as predictive variables to estimate the different sperm quality parameters (sperm cell concentration, total and progressive motility/immotile cells, total/head/neck/tail morphology anomalies, semen round cell concentration). The results of the multiple linear regression models based on the different subgroups of data joining VOCs from one/two or three biofluids have been compared. Surprisingly, the models based on blood and urine VOCs have allowed an excellent estimate of spermiogram values, paving the way towards a new method of indirect evaluation of semen quality and preventive screening. The significance of VOCs in terms of toxicity and dangerousness was discussed with the support of chemical databases available online.

Indexed as

GC/MShuman exposomesemen qualityvolatilomics

Identifiers

PMID39195645
PMCPMC11360181

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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.