Evidence map›Paper›PMID 40600028›Full record

ArticleFrontiers in molecular biosciences2025

Untargeted metabolomics fingerprints in seminal plasma of patients with abnormal sperm morphology using high-performance liquid chromatography and mass spectrometry.

Serena Correnti, Giuseppina Fanelli, Mariaimmacolata Preianò, Veronica Lelli, Mariagrazia Tarantino, Annalisa Fregola, Massimo Bitonti, Emanuela Chiarella, Anna Maria Timperio, Sara Rinalducci and 2 more

Abstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2025. 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
–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

1 citing paper in PubMed.

  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

12 authors.

Serena Correnti *Department of Health Sciences, Magna Græcia University, Catanzaro, Italy.
Giuseppina Fanelli *Department of Ecological and Biological Sciences (DEB), University of Tuscia, Viterbo, Italy.
Mariaimmacolata PreianòDepartment of Health Sciences, Magna Græcia University, Catanzaro, Italy.
Veronica LelliDepartment of Ecological and Biological Sciences (DEB), University of Tuscia, Viterbo, Italy.
Mariagrazia TarantinoDepartment of Experimental and Clinical Medicine, Magna Græcia University, Catanzaro, Italy.
Annalisa FregolaUrogyn Biotech S. R. L., Catanzaro, Italy.
Massimo BitontiUrogyn Biotech S. R. L., Catanzaro, Italy.
Emanuela ChiarellaDepartment of Experimental and Clinical Medicine, Magna Græcia University, Catanzaro, Italy.
Anna Maria TimperioDepartment of Ecological and Biological Sciences (DEB), University of Tuscia, Viterbo, Italy.
Sara RinalducciDepartment of Ecological and Biological Sciences (DEB), University of Tuscia, Viterbo, Italy.
Rocco SavinoDepartment of Medical and Surgical Sciences, Magna Græcia University, Catanzaro, Italy.
Rosa TerraccianoDepartment of Experimental and Clinical Medicine, Magna Græcia University, Catanzaro, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Teratozoospermia, a qualitative sperm disorder characterized by abnormal sperm morphology, represents one of the causes of male infertility worldwide. The metabolic analysis of human seminal plasma (SP), can provide insights into the underlying molecular mechanisms of this condition, identifying novel biomarkers and facilitating the development of diagnostic tests. In this study, an untargeted High-Performance Liquid Chromatography-Mass Spectrometry (HPLC-MS) approach was performed to explore SP metabolic alterations associated with teratozoospermia. SP samples from 15 teratozoospermic (TZ) vs. 20 normozoospermic (NZ) subjects were analyzed to identify metabolic pathways linked to sperm morphology dysfunction. Multivariate statistical analysis, including Partial Least Squares Discriminant Analysis (PLS-DA) and Orthogonal PLS-DA, revealed a distinct separation between TZ and NZ, highlighting 14 significantly altered metabolites. Based on Variable Importance in Projection scores, O-acetyl-L-serine showed the highest score. Main findings include alterations in Creatine, Histidine, Adenine, Allantoin and Deoxyuridine levels, suggesting perturbations in inflammation, oxidative stress and sperm DNA damage in teratozoospermia. Correlation and Receiver Operating Characteristic (ROC) analyses identified potential biomarkers, including O-acetyl-L-serine, Creatine, and Histidine, with robust discriminatory power (AUC >0.7). These findings highlight potential metabolic pathways implicated in the pathophysiology of teratozoospermia and provide a foundation for enabling personalized patient management with precision treatment.

Indexed as

biomarkershuman seminal plasmamale infertilitymass spectrometrymetabolomicsprecision medicinereproductive medicineteratozoospermia

Identifiers

PMID40600028
PMCPMC12208838

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