Pronuclear morphology evaluation in in vitro fertilization (IVF) / intracytoplasmic sperm injection (ICSI) cycles: a retrospective clinical review

Nicoli, Alessia; Capodanno, Francesco; Rondini, Ilaria; Valli, Barbara; Villani, Maria Teresa; Morini, Daria; Pascalis, Leonardo De; Palomba, Stefano; Sala, Giovanni Battista La

doi:10.1186/1757-2215-6-1

Cited by 31 publications

(36 citation statements)

References 21 publications

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“…KRAS-variant is found to be a genetic marker for increased risk of developing ovarian cancer [7]. Genes related with cell cycle, lipid metabolism and cytoskeletal structure are screened as the treatment targets for ovarian cancer [8]. …”

Section: Introductionmentioning

confidence: 99%

Gene-gene interaction network analysis of ovarian cancer using TCGA data

Ying

et al. 2013

Journal of Ovarian Research

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BackgroundThe Cancer Genome Atlas (TCGA) Data portal provides a platform for researchers to search, download, and analysis data generated by TCGA. The objective of this study was to explore the molecular mechanism of ovarian cancer pathogenesis.MethodsMicroarray data of ovarian cancer were downloaded from TCGA database, and Limma package in R language was used to identify the differentially expressed genes (DEGs) between ovarian cancer and normal samples, followed by the function and pathway annotations of the DEGs. Next, NetBox software was used to for the gene-gene interaction (GGI) network construction and the corresponding modules identification, and functions of genes in the modules were screened using DAVID.ResultsOur studies identified 332 DEGs, including 146 up-regulated genes which mainly involved in the cell cycle related functions and cell cycle pathway, and 186 down-regulated genes which were enriched in extracellular region par function, and Ether lipid metabolism pathway. GGI network was constructed by 127 DEGs and their significantly interacted 209 genes (LINKERs). In the top 10 nodes ranked by degrees in the network, 5 were LINKERs. Totally, 7 functional modules in the network were selected, and they were enriched in different functions and pathways, such as mitosis process, DNA replication and DNA double-strand synthesis, lipid synthesis processes and metabolic pathways. AR, BRCA1, TFDP1, FOXM1, CDK2, and DBF4 were identified as the transcript factors of the 7 modules.Conclusionour data provides a comprehensive bioinformatics analysis of genes, functions, and pathways which may be involved in the pathogenesis of ovarian cancer.

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Section: Introductionmentioning

confidence: 99%

Gene-gene interaction network analysis of ovarian cancer using TCGA data

Ying

et al. 2013

Journal of Ovarian Research

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“…From 2000 to 2003, the majority of the studies published showed that the zygote morphology significantly correlated with the pregnancy rates [10-14,19,21,23]. In the subsequent years until today, this trend has significantly changed, due to the publication of studies in contrast with earlier data [25,26,28,30,32,34,38,40],[46,49]. …”

Section: Resultsmentioning

confidence: 99%

“…One study (25.0%) found a significant correlation [36], whereas 3 (75.0%) did not find any relationship [30,46,49]. …”

Section: Resultsmentioning

confidence: 99%

“…Specifically, James et al [30] in 2006 analyzed 3,333 zygotes claiming that embryos with different zygote features have similar viability, and so the zygote morphology evaluation does not affect the IVF/ICSI outcomes [30]. The lack of clinical significance of zygote morphology in the prediction of delivery and live-birth rate was confirmed by the two more recent analyses, published by Nicoli et al [46,49] in 2010 and in 2013. The Authors included 1,078 zygotes in the first study and 755 zygotes in the second one [46,49].…”

Section: Resultsmentioning

confidence: 99%

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Pronuclear morphology evaluation for fresh in vitro fertilization (IVF) and intracytoplasmic sperm injection (ICSI) cycles: a systematic review

et al. 2013

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The current systematic review was aimed to assess the effectiveness of the zygote morphology evaluation in fresh in vitro fertilization (IVF) and intracytoplasmic sperm injection (ICSI) cycles. All available studies reporting on zygote morphology and clinical and/or biological outcomes were analyzed. Forty studies were included in the final analysis. Fourteen different zygote scoring systems were employed. Zygote morphology correlated significantly with embryo quality and cleavage, blastocyst stage, embryonic chromosome status, in a high proportion of the studies which assessed the specific outcome [15/25 (60%), 15/20 (75%), 7/8 (87.5%), 6/6 (100%), respectively]. On the other hand, only a reduced proportion of papers showed a statistically significant relationship between implantation, pregnancy and delivery/live-birth rates and zygote morphology score [12/23 (52.2%), 12/25 (48%), 1/4 (25%), respectively]. In conclusion, our findings demonstrate the lack of conclusive data on the clinical efficacy of the zygote morphology evaluation in fresh IVF/ICSI cycles, even if biological results showing a good relationship with embryo viability suggest a role in cycles in which the transfer/freezing is performed at day 1.

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“…Moreover most investigations have evaluated ED but not fertilization, determined by PN formation, to assure that the zygotes are diploid. This condition is essential for the normal development of the embryos [23]. When oocytes are artificially activated, a high probability that the resultant blastocysts will be parthenogenic exists [17, 24, 25].…”

Section: Introductionmentioning

confidence: 99%

Pronuclear formation by ICSI using chemically activated ovine oocytes and zona pellucida bound sperm

Hernández-Pichardo

Ducolomb

Romo

et al. 2016

J Animal Sci Biotechnol

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BackgroundIn order to improve ICSI, appropiate sperm selection and oocyte activation is necessary. The objective of the present study was to determine the efficiency of fertilization using ICSI with chemically activated ovine oocytes and sperm selected by swim up (SU) or swim up + zona pellucida (SU + ZP) binding.ResultsExperiment 1, 4–20 replicates with total 821 in vitro matured oocytes were chemically activated with ethanol, calcium ionophore or ionomycin, to determine oocyte activation (precense of one PN). Treatments showed similar results (54, 47, 42 %, respectively) but statistically differents (P < 0.05) than mechanical activated oocytes in sham, ICSI and sham injection (13, 25, 32 %, respectively) (10–17 replicates; n = 429).Experiment 2: Twelve ejaculates and 28 straws of semen were used (11–19 replicates). Sperm were selected by SU in BSA-TCM 199-H medium. A total of 2,294 fresh sperm and 2,760 from frozen-thawed semen were analyzed after SU or SU + ZP binding. Fresh sperm selected by SU showed acrosome reaction (AR) of 59 %, the sperm selected by SU + ZP binding increased AR to 91 %. In comparison, the AR of frozen-thawed sperm using SU or SU + ZP binding was 77 and 86 %, respectively (P < 0.05).Experiment 3: fertilization in 200 mechanical activativated oocytes (17 replicates) was 4 %, but fertilization increased in ethanol activated oocytes after ICSI (12-28 %) (5–6 replicates). When fresh sperm only selected by SU were injected to 123 oocytes, a fertilization rate (28 %) was achieved; in sperm selected by SU + ZP was 25 % (73 oocytes). In comparison, in frozen-thawed sperm selected by SU, fertilization was 13 % (70 oocytes), whereas sperm from SU + ZP binding displayed 12 % (51 oocytes) (P > 0.05).ConclusionsChemical activation induces higher ovine oocyte activation than mechanical activation. Ethanol slightly displays higher oocyte activation than calcium ionophore and ionomicine. Sperm selection with SU + ZP increased AR/A and AR/D rates in comparison with SU in fresh and frozen-thawed sperm. According to this, in terms of fertilization rates, chemical activation after ICSI increased oocyte PN formation compared to mechanical activation. Also, fresh sperm treated with SU and SU + ZP were significantly different than frozen-thawed sperm, but between sperm treatments no significant differences were obtained.

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Pronuclear morphology evaluation in in vitro fertilization (IVF) / intracytoplasmic sperm injection (ICSI) cycles: a retrospective clinical review

Cited by 31 publications

References 21 publications

Gene-gene interaction network analysis of ovarian cancer using TCGA data

Gene-gene interaction network analysis of ovarian cancer using TCGA data

Pronuclear morphology evaluation for fresh in vitro fertilization (IVF) and intracytoplasmic sperm injection (ICSI) cycles: a systematic review

Pronuclear formation by ICSI using chemically activated ovine oocytes and zona pellucida bound sperm

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