Evaluation of Intrafollicular Syndecan 1, Glypican 3, and Spermidine Levels in Women with Diminished Ovarian Reserve

Gokce, Sefik; Herkiloğlu, Dilşad; Çevik, Özge; Turan, Volkan

doi:10.1007/s43032-022-01085-9

Cited by 4 publications

(1 citation statement)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Taurine has been previously detected in CC ( Lobo et al , 2001 ), where it probably plays anti-oxidant and biological membrane stabilization roles ( Goberdhan, 2010 ). Creatine has been suggested to act as a probable modulator of ATP concentration in the oocyte ( Scantland et al , 2014 ), and spermidine is a polyamine involved in post-translational modifications ( Pegg, 2016 ) that has been reported to be more abundant in follicular fluid from women with diminished ovarian reserve ( Gokce et al , 2023 ).…”

Section: Discussionmentioning

confidence: 99%

Metabolomics analysis of human cumulus cells obtained from cumulus–oocyte complexes with different developmental potential

Martínez-Moro,

González-Brusi,

Querejeta-Fernández

et al. 2023

Human Reproduction

View full text Add to dashboard Cite

STUDY QUESTION Is the abundance of certain biochemical compounds in human cumulus cells (CCs) related to oocyte quality? SUMMARY ANSWER Malonate, 5-oxyproline, and erythronate were positively associated with pregnancy potential. WHAT IS KNOWN ALREADY CCs are removed and discarded prior to ICSI, thereby constituting an interesting biological material on which to perform molecular analysis aimed to predict oocyte developmental competence. Mitochondrial DNA content and transcriptional analyses in CC have been shown to provide a poor predictive value of oocyte competence, but the untargeted analysis of biochemical compounds (metabolomics) has been unexplored. STUDY DESIGN, SIZE, DURATION CCs were obtained from three groups of cumulus–oocyte complexes (COCs) of known developmental potential: oocytes not developing to blastocyst following ICSI (Bl−); oocytes developing to blastocyst but failing to establish pregnancy following embryo transfer (P−); and oocytes developing to blastocyst able to establish a pregnancy (P+). Metabolomics analyses were performed on 12 samples per group, each sample comprising the CC recovered from a single COC. PARTICIPANTS/MATERIALS, SETTING, METHODS Human CC samples were obtained from IVF treatments. Only unfrozen oocytes and embryos not submitted to preimplantation genetic testing were included in the analysis. Metabolomics analysis was performed by ultra-high performance liquid chromatography-tandem mass spectroscopy. MAIN RESULTS AND THE ROLE OF CHANCE The analysis identified 98 compounds, five of which were differentially abundant (P < 0.05) between groups: asparagine, proline, and malonate were less abundant in P− compared to Bl−, malonate and 5-oxoproline were less abundant in P− group compared to P+, and erythronate was less abundant in Bl− group compared to P+. No significant association between the abundance of the compounds identified and donor age or BMI was noted. LIMITATIONS, REASONS FOR CAUTION Data dispersion and the lack of coherence between developmental groups preclude the direct use of metabolic markers in clinical practice, where the uterine environment plays a major role in pregnancy outcome. The abundance of other compounds not detected by the analysis may be associated with oocyte competence. As donors were lean (only two with BMI > 30 kg/m2) and young (<34 years old), a possible effect of obesity or advanced age on the CC metabolome could not be determined. WIDER IMPLICATIONS OF THE FINDINGS The abundance of malonate, 5-oxyproline, and erythronate in CC was significantly higher in COCs ultimately establishing pregnancy, providing clues on the pathways required for oocyte competence. The untargeted analysis uncovered the presence of compounds that were not expected in CC, such as β-citrylglutamate and the neurotransmitter N-acetyl-aspartyl-glutamate, which may play roles in chromatin remodeling and signaling, respectively. STUDY FUNDING/COMPETING INTEREST(S) Research was supported by the Industrial Doctorate Project IND2017/BIO-7748 funded by Madrid Region Government. The authors declare no competing interest. TRIAL REGISTRATION NUMBER N/A.

show abstract

Section: Discussionmentioning

confidence: 99%

Metabolomics analysis of human cumulus cells obtained from cumulus–oocyte complexes with different developmental potential

Martínez-Moro,

González-Brusi,

Querejeta-Fernández

et al. 2023

Human Reproduction

View full text Add to dashboard Cite

show abstract

Spermidine promotes fertility in aged female mice

Zimmermann,

Madeo

2023

Nat Aging

View full text Add to dashboard Cite

Screening and identification of key biomarkers associated with endometriosis using bioinformatics and next generation sequencing data analysis

Vastrad,

Vastrad

2024

Preprint

View full text Add to dashboard Cite

Endometriosis is a common cause of endometrial-type mucosa outside the uterine cavity with symptoms such as painful periods, chronic pelvic pain, pain with intercourse and infertility. However, the early diagnosis of endometriosis is still restricted. The purpose of this investigation is to identify and validate the key biomarkers of endometriosis. Next generation sequencing (NGS) dataset GSE243039 was obtained from the Gene Expression Omnibus (GEO) database, and differentially expressed genes (DEGs) between endometriosis and normal control samples were identified. After screening of DEGs, gene ontology (GO) and REACTOME pathway enrichment analyses were performed. Furthermore, a protein-protein interaction (PPI) network was constructed and modules were analysed using the Human Integrated Protein-Protein Interaction rEference (HIPIE) database and Cytoscape software, and hub genes were identified. Subsequantely, a network between miRNAs and hub genes, and network between TFss and hub genes were constructed using the miRNet and NetworkAnalyst tool, and possible key miRNAs and TFs were predicted. Finally, receiver operating characteristic curve (ROC) analysis was used to validate the hub genes. A total of 958 DEGs, including 479 up regulated genes and 479 down regulated genes, were screened between endometriosis and normal control samples. GO and REACTOME pathway enrichment analyses of the 958 DEGs showed that they were mainly involved in multicellular organismal process, developmental process, signaling by GPCR and muscle contraction. Further analysis of the PPI network and modules identified 10 hub genes, including VCAM1, SNCA, PRKCB, ADRB2, FOXQ1, MDFI, ACTBL2, PRKD1, DAPK1 and ACTC1. Possible target miRNAs, including hsa-mir-3143 and hsa-mir-2110, and target TFs, including TCF3 and CLOCK, were predicted by constructing a miRNA-hub gene regulatory network and TF-hub gene regulatory network. This investigation used bioinformatics techniques to explore the potential and novel biomarkers. These biomarkers might provide new ideas and methods for the early diagnosis, treatment, and monitoring of endometriosis.

show abstract

Evaluation of Intrafollicular Syndecan 1, Glypican 3, and Spermidine Levels in Women with Diminished Ovarian Reserve

Cited by 4 publications

References 33 publications

Metabolomics analysis of human cumulus cells obtained from cumulus–oocyte complexes with different developmental potential

Metabolomics analysis of human cumulus cells obtained from cumulus–oocyte complexes with different developmental potential

Spermidine promotes fertility in aged female mice

Screening and identification of key biomarkers associated with endometriosis using bioinformatics and next generation sequencing data analysis

Contact Info

Product

Resources

About