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Metabolomic analysis reveals a unique urinary pattern in normozoospermic infertile men

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Metabolomic analysis reveals a unique urinary pattern in normozoospermic infertile men. / Zhang, Jie; Mu, Xiaoli; Xia, Yankai et al.
In: Journal of Proteome Research, Vol. 13, No. 6, 06.06.2014, p. 3088-3099.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Zhang, J, Mu, X, Xia, Y, Martin, FL, Hang, W, Liu, L, Tian, M, Huang, Q & Shen, H 2014, 'Metabolomic analysis reveals a unique urinary pattern in normozoospermic infertile men', Journal of Proteome Research, vol. 13, no. 6, pp. 3088-3099. https://doi.org/10.1021/pr5003142

APA

Zhang, J., Mu, X., Xia, Y., Martin, F. L., Hang, W., Liu, L., Tian, M., Huang, Q., & Shen, H. (2014). Metabolomic analysis reveals a unique urinary pattern in normozoospermic infertile men. Journal of Proteome Research, 13(6), 3088-3099. https://doi.org/10.1021/pr5003142

Vancouver

Zhang J, Mu X, Xia Y, Martin FL, Hang W, Liu L et al. Metabolomic analysis reveals a unique urinary pattern in normozoospermic infertile men. Journal of Proteome Research. 2014 Jun 6;13(6):3088-3099. Epub 2014 May 6. doi: 10.1021/pr5003142

Author

Zhang, Jie ; Mu, Xiaoli ; Xia, Yankai et al. / Metabolomic analysis reveals a unique urinary pattern in normozoospermic infertile men. In: Journal of Proteome Research. 2014 ; Vol. 13, No. 6. pp. 3088-3099.

Bibtex

@article{3fe9e6a454c242edb3439605b672b3c1,
title = "Metabolomic analysis reveals a unique urinary pattern in normozoospermic infertile men",
abstract = "ormozoospermic infertility has become a common and important health problem worldwide. We designed this metabolomic case-control study to investigate the possible mechanism and urinary biomarkers of normozoospermic infertility. Normozoospermic infertile cases (n = 71) and fertile controls (n = 47) were recruited. A urinary metabolome pattern could discriminate normozoospermic infertile cases from fertile controls. A total of 37 potential biomarkers were identified; these have functionally important roles in energy production, antioxidation, and hormone regulation in spermatogenesis. This gave rise to a combined biomarker pattern of leukotriene E4, 3-hydroxypalmitoylcarnitine, aspartate, xanthosine, and methoxytryptophan pointing to a diagnostic capability (AUC = 0.901, sensitivity = 85.7%, and specificity = 86.8%) in a ROC model; these markers may highlight keynote events of normozoospermic infertility. Stalled medium- and long-chain fatty acid metabolism with improved ketone body metabolism, plus decreased levels of malate and aspartate could result in citrate cycle alterations via a malate-aspartate shuttle in ATP generation in spermatogenesis. Inhibitory alterations in the normal hormone-secreting activity in spermatogenesis were suggested in normozoospermic infertility. Folate deficiency and oxidative stress may jointly impact infertile patients. The disruption of eicosanoid metabolism and xanthine oxidase system, which were tightly associated with energy metabolism and oxidative stress, was also a potential underlying mechanism. In addition, depression might be associated with normozoospermic infertility via neural activity-related metabolites. This study suggests that the urinary metabolome can be used to differentiate normozoospermic infertile men from fertile individuals. Potential metabolic biomarkers derived from these analyses might be used to diagnose what remains a somewhat idiopathic condition and provide functional insights into its pathogenesis.",
keywords = "biomarkers, male infertility, metabolomics, multivariate analysis, normozoospermic infertility, urine",
author = "Jie Zhang and Xiaoli Mu and Yankai Xia and Martin, {Francis Luke} and Wei Hang and Liangpo Liu and Meiping Tian and Qingyu Huang and Heqing Shen",
year = "2014",
month = jun,
day = "6",
doi = "10.1021/pr5003142",
language = "English",
volume = "13",
pages = "3088--3099",
journal = "Journal of Proteome Research",
issn = "1535-3893",
publisher = "American Chemical Society",
number = "6",

}

RIS

TY - JOUR

T1 - Metabolomic analysis reveals a unique urinary pattern in normozoospermic infertile men

AU - Zhang, Jie

AU - Mu, Xiaoli

AU - Xia, Yankai

AU - Martin, Francis Luke

AU - Hang, Wei

AU - Liu, Liangpo

AU - Tian, Meiping

AU - Huang, Qingyu

AU - Shen, Heqing

PY - 2014/6/6

Y1 - 2014/6/6

N2 - ormozoospermic infertility has become a common and important health problem worldwide. We designed this metabolomic case-control study to investigate the possible mechanism and urinary biomarkers of normozoospermic infertility. Normozoospermic infertile cases (n = 71) and fertile controls (n = 47) were recruited. A urinary metabolome pattern could discriminate normozoospermic infertile cases from fertile controls. A total of 37 potential biomarkers were identified; these have functionally important roles in energy production, antioxidation, and hormone regulation in spermatogenesis. This gave rise to a combined biomarker pattern of leukotriene E4, 3-hydroxypalmitoylcarnitine, aspartate, xanthosine, and methoxytryptophan pointing to a diagnostic capability (AUC = 0.901, sensitivity = 85.7%, and specificity = 86.8%) in a ROC model; these markers may highlight keynote events of normozoospermic infertility. Stalled medium- and long-chain fatty acid metabolism with improved ketone body metabolism, plus decreased levels of malate and aspartate could result in citrate cycle alterations via a malate-aspartate shuttle in ATP generation in spermatogenesis. Inhibitory alterations in the normal hormone-secreting activity in spermatogenesis were suggested in normozoospermic infertility. Folate deficiency and oxidative stress may jointly impact infertile patients. The disruption of eicosanoid metabolism and xanthine oxidase system, which were tightly associated with energy metabolism and oxidative stress, was also a potential underlying mechanism. In addition, depression might be associated with normozoospermic infertility via neural activity-related metabolites. This study suggests that the urinary metabolome can be used to differentiate normozoospermic infertile men from fertile individuals. Potential metabolic biomarkers derived from these analyses might be used to diagnose what remains a somewhat idiopathic condition and provide functional insights into its pathogenesis.

AB - ormozoospermic infertility has become a common and important health problem worldwide. We designed this metabolomic case-control study to investigate the possible mechanism and urinary biomarkers of normozoospermic infertility. Normozoospermic infertile cases (n = 71) and fertile controls (n = 47) were recruited. A urinary metabolome pattern could discriminate normozoospermic infertile cases from fertile controls. A total of 37 potential biomarkers were identified; these have functionally important roles in energy production, antioxidation, and hormone regulation in spermatogenesis. This gave rise to a combined biomarker pattern of leukotriene E4, 3-hydroxypalmitoylcarnitine, aspartate, xanthosine, and methoxytryptophan pointing to a diagnostic capability (AUC = 0.901, sensitivity = 85.7%, and specificity = 86.8%) in a ROC model; these markers may highlight keynote events of normozoospermic infertility. Stalled medium- and long-chain fatty acid metabolism with improved ketone body metabolism, plus decreased levels of malate and aspartate could result in citrate cycle alterations via a malate-aspartate shuttle in ATP generation in spermatogenesis. Inhibitory alterations in the normal hormone-secreting activity in spermatogenesis were suggested in normozoospermic infertility. Folate deficiency and oxidative stress may jointly impact infertile patients. The disruption of eicosanoid metabolism and xanthine oxidase system, which were tightly associated with energy metabolism and oxidative stress, was also a potential underlying mechanism. In addition, depression might be associated with normozoospermic infertility via neural activity-related metabolites. This study suggests that the urinary metabolome can be used to differentiate normozoospermic infertile men from fertile individuals. Potential metabolic biomarkers derived from these analyses might be used to diagnose what remains a somewhat idiopathic condition and provide functional insights into its pathogenesis.

KW - biomarkers

KW - male infertility

KW - metabolomics

KW - multivariate analysis

KW - normozoospermic infertility

KW - urine

U2 - 10.1021/pr5003142

DO - 10.1021/pr5003142

M3 - Journal article

VL - 13

SP - 3088

EP - 3099

JO - Journal of Proteome Research

JF - Journal of Proteome Research

SN - 1535-3893

IS - 6

ER -