Evidence map›Paper›PMID 37554525›Full record

ArticleTranslational andrology and urology2023

Metabonomic analysis of seminal plasma in necrozoospermia patients based on liquid chromatography-mass spectrometry.

Tianqin Deng, Xuemei Li, Bing Yao

Abstract read
In one paragraph

Article in Translational andrology and urology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

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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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

3 authors.

Tianqin DengCenter of Reproductive Medicine, Nanjing Jinling Hospital, The First School of Clinical Medicine, Southern Medical University (General Hospital of Eastern Military Region), Nanjing, China.
Xuemei LiReproductive Medical Center, Affiliated Shenzhen Maternity & Child Healthcare Hospital, Southern Medical University, Shenzhen, China.
Bing YaoCenter of Reproductive Medicine, Nanjing Jinling Hospital, The First School of Clinical Medicine, Southern Medical University (General Hospital of Eastern Military Region), Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In the pathological study of necrozoospermia-a form of sperm mortality-the underlying metabolic mechanism remains unclear. Thus, the aim of this study was to characterize metabolic alterations in the seminal plasma of necrozoospermic patients and to provide insights into the etiology of the disease. Methods: Seminal plasma samples were collected from patients diagnosed with necrozoospermia (n=28) as well as normozoospermia (n=37). The samples were analyzed using nontargeted metabolomics based on liquid chromatography-mass spectrometry (LC-MS). The raw data were subjected to multivariate analysis to identify metabolites correlated with necrozoospermia. Differential metabolites were subjected to pathway analysis using MetaboAnalyst. Results: The results of the metabolomic analysis showed that there were 194 differential metabolites between the two groups; 129 metabolites were upregulated and 65 metabolites were downregulated. Among the differential metabolites, the top ten differential metabolites were choline, benzaldehyde, pyrazinamide, 5-aminoimidazole-4-carboxamide, and dihydrothymine. The following differential metabolite pathways were identified, and the top five metabolite pathways were arachidonic acid metabolism, steroid hormone biosynthesis, alanine aspartate and glutamate metabolism, bile secretion, and prostate cancer. Conclusions: The elevation of choline and 2-hydroxyglutarate levels in seminal plasma was an important finding, and the results also indicate that abnormalities in arachidonic acid metabolism and glutamate metabolism were an underlying pathological mechanism of necrozoospermia.

Indexed as

mass spectrometrymetabonomicNecrozoospermiaseminal plasma

Identifiers

PMID37554525
PMCPMC10406541

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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.