Metabolomics fingerprinting of seminal plasma from unexplained infertile men: A need for novel diagnostic biomarkers

Jafarzadeh, Naser; Mani-Varnosfaderani, Ahmad; Minai-Tehrani, Arash; Savadi-Shiraz, Elham; Sadeghi, Mohammad Reza; Gilany, Kambiz

doi:10.1002/mrd.22457

Cited by 29 publications

(15 citation statements)

References 3 publications

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“…Finally, the metabolites were correlated with clinical parameters of the patients, such as total spermatozoa, total motile spermatozoa, age, % of motility of spermatozoa, % of progressive motility, and % of "in situ" motility to investigate a possible association. To the best of our knowledge, only a few studies have been performed with the metabolomics approach [30] on a cohort of patients affected by oligozoospermia and, for this reason, it is not simple to explain the biological meaning of the metabolites by comparing our study with others. Zhao et al applied an untargeted GC-MS analysis on patients affected by idiopathic asthenozoospermia, and they found a different panel of altered metabolites compared with our study based on the different analytical technique used [31].…”

Section: Discussionmentioning

confidence: 99%

Seminal Fluid Metabolomic Markers of Oligozoospermic Infertility in Humans

et al. 2020

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Infertility affects 12–15% of couples worldwide, and male factors are the cause of nearly half of all cases. Studying seminal fluid composition could lead to additional diagnostic accuracy and a better understanding of the pathophysiology of male factor infertility. Metabolomics offers a new opportunity to evaluate biomarkers and better understand pathological mechanisms. The aim of the study was to identify new markers or therapeutic targets to improve outcomes in male factor or idiopathic infertility patients. Semen samples were obtained from 29 men with a normal spermogram test, and from 18 oligozoospermic men. Samples were processed and analyzed by Nuclear Magnetic Resonance spectroscopy and, subsequently, multivariate and univariate statistical analyses. Receiving Operator Curves (ROC) and Spearman correlations were also performed. An Orthogonal Partial Least Square Discriminant Analysis supervised multivariate model was devised to compare the groups. The levels of fructose, myo-inositol, aspartate and choline were altered. Moreover, Spearman Correlation associated fructose, aspartate and myo-inositol with the total amount of spermatozoa, total motile spermatozoa, % of immotility and % of “in situ” spermatozoic motility respectively. NMR-based metabolomics allowed the identification of a specific metabolic fingerprint of the seminal fluids of patients affected by oligozoospermia.

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Section: Discussionmentioning

confidence: 99%

Seminal Fluid Metabolomic Markers of Oligozoospermic Infertility in Humans

et al. 2020

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“…It has been reported that infertile patients represent significant change at metabolome level compared to fertile men, based on metabolomics fingerprinting studying infertile patient seminal plasma [ 4 ]. Previous studies have shown that metabolic fingerprinting can be applied as a screening tool for male infertility problems [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

Seminal plasma metabolomics approach for the diagnosis of unexplained male infertility

Qiao

Chen

et al. 2017

PLoS ONE

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We used a gas chromatography-mass spectrometry (GC-MS) based metabolomics approach to obtain the metabolic profiling of unexplained male infertility (UMI), and identified seminal plasma biomarkers associated with UMI by a two-stage population study. A robust OPLS-DA model based on these identified metabolites was able to distinguish 82% of the UMI patients from health controls with a specificity of 92%. In this model, 44 metabolites were found differentially expressed in UMI subjects compared with health controls. By pathway enrichment analysis, we identified several major changed metabolic pathways related to UMI. Our findings provide new perspective for the diagnosis of UMI.

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“…Thus, Raman and IR are complementary techniques. The main advantage of Raman in metabolomics studies is that, the water in this technique provides very weak signals, making the analysis of aqueous samples very easy (Jafarzadeh et al ., ). Furthermore, the latest commercial Raman includes no moving elements and contains compressed, stable laser diode basis, leading to have a reasonable instrument and portable tool (Dunn et al ., ; Ellis et al ., ).…”

Section: Optical Spectroscopymentioning

confidence: 97%

“…Oxidative stress has been reported to cause spermatogenic abnormalities due to the increased level of reactive oxygen species (ROS) in the seminal plasma along with impaired antioxidant defence machinery (Sharma & Agarwal, ; Deepinder et al ., ). In the most recent studies based on metabolomics fingerprinting, the imbalance of oxidative stress was observed in the seminal plasma of unexplained infertile men as determined by Raman spectroscopy (Jafarzadeh et al ., ).…”

Section: Metabolomic Biomarkers In Infertile Menmentioning

confidence: 97%

Metabolomics: a state-of-the-art technology for better understanding of male infertility

2015

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Male factor infertility affects approximately half of the infertile couples, in spite of many years of research on male infertility treatment and diagnosis; several outstanding questions remain to be addressed. In this regard, metabolomics as a novel field of omics has been suggested to be applied for male infertility problems. A variety of terms associated with metabolite quantity and quality have been established to demonstrate mixtures of metabolites. Despite metabolomics and metabolite analyses have been around more than decades, a limited number of studies concerning male infertility have been carried out. In this review, we summarised the latest finding in metabolomics techniques and metabolomics biomarkers correlated with male infertility. The rapid progress of a variety of metabolomics platforms, such as nonoptical and optical spectroscopy, could ease separation, recognition, classification and quantification of several metabolites and their metabolic pathways. Here, we recommend that the novel biomarkers determined in the course of metabolomics analysis may stand for potential application of treatment and future clinical practice.

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Metabolomics fingerprinting of seminal plasma from unexplained infertile men: A need for novel diagnostic biomarkers

Cited by 29 publications

References 3 publications

Seminal Fluid Metabolomic Markers of Oligozoospermic Infertility in Humans

Seminal Fluid Metabolomic Markers of Oligozoospermic Infertility in Humans

Seminal plasma metabolomics approach for the diagnosis of unexplained male infertility

Metabolomics: a state-of-the-art technology for better understanding of male infertility

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