Evidence map›Paper›PMID 37271779›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2023

Low-polarity untargeted metabolomic profiling as a tool to gain insight into seminal fluid.

Eulalia Olesti, Julien Boccard, Rita Rahban, Sergey Girel, Natalia E Moskaleva, Fanny Zufferey, Michel F Rossier, Serge Nef, Serge Rudaz, Víctor González-Ruiz

Open access · hybridAbstract read
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

10 authors at 5 institutions in 3 countries.

Eulalia OlestiSchool of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland.
Julien BoccardSchool of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland.
Rita RahbanSwiss Centre for Applied Human Toxicology (SCAHT), Basel, Switzerland.
Sergey GirelSchool of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland.
Natalia E MoskalevaLaboratory of Pharmacokinetics and Metabolomic Analysis, Institute of Translational Medicine and Biotechnology, I. M. Sechenov First Moscow State Medical University, Moscow, Russian Federation.
Fanny ZuffereySwiss Centre for Applied Human Toxicology (SCAHT), Basel, Switzerland.
Michel F RossierSwiss Centre for Applied Human Toxicology (SCAHT), Basel, Switzerland.
Serge NefSwiss Centre for Applied Human Toxicology (SCAHT), Basel, Switzerland.
Serge RudazSchool of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland. serge.rudaz@unige.ch.
Víctor González-RuizSchool of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland.
University of Geneva · CHHES-SO University of Applied Sciences and Arts Western Switzerland · CHSwiss Centre for Applied Human ToxicologyHôpital du Valais · CHSechenov University · RU

Funding

Swiss National Science Foundation 31003A_166658
6 · The paper itself

Abstract

introductionA decrease in sperm cell count has been observed along the last several decades, especially in the most developed regions of the world. The use of metabolomics to study the composition of the seminal fluid is a promising approach to gain access to the molecular mechanisms underlying this fact.

objectivesIn the present work, we aimed at relating metabolomic profiles of young healthy men to their semen quality parameters obtained from conventional microscopic analysis.

methodsAn untargeted metabolomics approach focusing on low- to mid-polarity compounds was used to analyze a subset of seminal fluid samples from a cohort of over 2700 young healthy men.

resultsOur results show that a broad metabolic profiling comprising several families of compounds (including acyl-carnitines, steroids, and other lipids) can contribute to effectively distinguish samples provided by individuals exhibiting low or high absolute sperm counts.

conclusionA number of metabolites involved in sexual development and function, signaling, and energy metabolism were highlighted as being distinctive of samples coming from either group, proving untargeted metabolomics as a promising tool to better understand the pathophysiological processes responsible for male fertility impairment.

Indexed as

SemenSemen AnalysisHumansMaleMetabolomicsSpermatozoaSperm CountMetabolomicsSemen qualitySeminal fluidSperm

Identifiers

PMID37271779
PMCPMC10239740
OpenAlexW4379365105

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.