• Asian Pacific Journal of Cancer Prevention
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• v.16 no.2
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• pp.451-455
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• 2015

More than one million new patients suffer from breast cancer annually in the world. In developed countries, breast cancer is the most common malignancy diagnosed among women, and in developing regions, it often ranks second to cervical cancer. This study aimed to investigate the relationship between incidence of breast cancer and reproductive factors in North-West of Iran. This retrospective analytical control-case study was conducted with 235 breast cancer patients and 235 women in the control group. Data collection tools included a set of questions with interviews and patient medical records. Data were analyzed using statistical tests: t-test, Chi-square, Fisher, and Pearson correlation coefficient. Significantly increased risks were associated between breast cancer and older age at first pregnancy, age at menopause and history of contraceptive use. A trend for decreasing risk were observed with increasing parity. Findings of this study showed no association between breast cancer and age at menarche. The study results suggested that physiological and reproductive factors may play important roles in the development breast cancer among Iranian women.

• Journal of Korean Public Health Nursing
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• v.35 no.1
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• pp.120-134
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• 2021

Purpose: The reproductive health of women in early adulthood can affect pregnancy, childbirth, and menopause in later life. Menstrual symptoms not only affect daily life, but are also a reflection of a woman's reproductive health. This study was conducted to explore the factors affecting menstrual symptoms among university students. Methods: The general characteristics, life style, menstrual characteristics, stress, and menstrual symptom of 177 female students were assessed through an online survey at one university. An independent sample t-test, one-way variance analysis, correlation analysis, and multiple regression analysis were performed using the SPSS 22.0 program. Results: The menstrual symptom score was 91.68±32.11 points, and the score of 'mood change' was the highest. Stress (��=.38, p<.001), amount of menstruation (��=.20, p=.001), menarche age (��=-.18, p=.003), health problems (��=.16, p=.010), and age (��=.15, p=.016) were found to have a significant effect on menstrual symptom, and the explanatory power of the regression model was 40%. Conclusion: This study investigated the degree and influencing factors of menstrual symptom using the Korean Menstrual Symptom Scale (KMSS) developed for Korean university students. Among the factors influencing menstrual symptom, stress appeared to play a significant role. Stress management, observation of menstrual characteristics, and general health care are necessary to maintain a woman's reproductive health.

• Clinical and Experimental Reproductive Medicine
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• v.43 no.2
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• pp.59-81
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• 2016

It is well established that there is a heritable element of susceptibility to chronic human ailments, yet there is compelling evidence that some components of such heritability are transmitted through non-genetic factors. Due to the complexity of reproductive processes, identifying the inheritance patterns of these factors is not easy. But little doubt exists that besides the genomic backbone, a range of epigenetic cues affect our genetic programme. The inter-generational transmission of epigenetic marks is believed to operate via four principal means that dramatically differ in their information content: DNA methylation, histone modifications, microRNAs and nucleosome positioning. These epigenetic signatures influence the cellular machinery through positive and negative feedback mechanisms either alone or interactively. Understanding how these mechanisms work to activate or deactivate parts of our genetic programme not only on a day-to-day basis but also over generations is an important area of reproductive health research.

• Clinical and Experimental Reproductive Medicine
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• v.48 no.2
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• pp.142-149
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• 2021

Objective: Bacteriospermia and urogenital infections are common problems in male infertility. This study aimed to evaluate the effects of bacteriospermia on sperm parameters and clinical outcomes in semen samples infected with two common bacteria (Staphylococcus saprophyticus and Escherichia coli) in northern Iran. Methods: Microbiological tests were performed to isolate and identify organisms from 435 semen samples from infertile couples. Semen samples were assessed according to the World Health Organization criteria. The protamine status, chromatin structure, chromatin condensation, and acrosome reaction of sperm and assisted reproductive outcomes were determined in couples with different male infertility factors. Results: Among the total cases, the two most prevalent pathogens were considered: S. saprophyticus (38.2%) and E. coli (52.9%). In the semen samples infected with E. coli, the spontaneous acrosome reaction and abnormal chromatin condensation were more common (p<0.05). Significant increases in abnormal chromatin condensation and deprotamination were seen in the presence of S. saprophyticus. In washed semen, tight adhesion between the sperm midpiece and S. saprophyticus was observed. There was also a significant decrease in the fertilization rate using semen samples infected with S. saprophyticus and E. coli during in vitro fertilization cycles (p<0.001). In addition, the presence of S. saprophyticus and E. coli in semen samples was associated with a lower likelihood of clinical pregnancy in couples with various factors of male infertility. Conclusion: Poor results of assisted reproductive techniques may be correlated with semen samples infected with two common bacteria in northern Iran.

• 대한생식의학회:학술대회논문집
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• 2003.12a
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• pp.102-103
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• 2003

• Clinical and Experimental Reproductive Medicine
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• v.51 no.1
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• pp.1-12
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• 2024

This review article discusses the integration of artificial intelligence (AI) in assisted reproductive technology and provides key concepts to consider when introducing AI systems into reproductive medicine practices. The article highlights the various applications of AI in reproductive medicine and discusses whether to use commercial or in-house AI systems. This review also provides criteria for implementing new AI systems in the laboratory and discusses the factors that should be considered when introducing AI in the laboratory, including the user interface, scalability, training, support, follow-up, cost, ethics, and data quality. The article emphasises the importance of ethical considerations, data quality, and continuous algorithm updates to ensure the accuracy and safety of AI systems.

• Clinical and Experimental Reproductive Medicine
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• v.47 no.2
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• pp.94-100
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• 2020

The inverse correlation between maternal age and pregnancy rate represents a major challenge for reproductive endocrinology. The high embryo ploidy error rate in failed in vitro fertilization (IVF) cycles reflects genetic misfires accumulated by older oocytes over time. Despite the application of different follicular recruitment protocols during IVF, gonadotropin modifications are generally futile in addressing such damage. Even when additional oocytes are retrieved, quality is frequently poor. Older oocytes with serious cytoplasmic and/or chromosomal errors are often harvested from poorly perfused follicles, and ovarian vascularity and follicular oxygenation impact embryonic chromosomal competency. Because stimulation regimens exert their effects briefly and immediately before ovulation, gonadotropins alone are an ineffective antidote to long-term hypoxic pathology. In contrast, the tissue repair properties (and particularly the angiogenic effects) of platelet-rich plasma (PRP) are well known, with applications in other clinical contexts. Injection of conventional PRP and/or its components (e.g., isolated platelet-derived growth factors as a cell-free substrate) into ovarian tissue prior to IVF has been reported to improve reproductive outcomes. Any derivative neovascularity may modulate oocyte competence by increasing cellular oxygenation and/or lowering concentrations of intraovarian reactive oxygen species. We propose a mechanism to support intrastromal angiogenesis, improved follicular perfusion, and, crucially, embryo ploidy rescue. This last effect may be explained by mRNA upregulation coordinated by PRP-associated molecular signaling, as in other tissue systems. Additionally, we outline an intraovarian injection technique for platelet-derived growth factors and present this method to help minimize reliance on donor oocytes and conventional hormone replacement therapy.

• Clinical and Experimental Reproductive Medicine
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• v.46 no.2
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• pp.50-59
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• 2019

Anti-$M{\ddot{u}}llerian$ hormone (AMH), a peptide growth factor of the transforming growth $factor-{\beta}$ family, is a reliable marker of ovarian reserve. Regarding assisted reproductive technology, AMH has been efficiently used as a marker to predict ovarian response to stimulation. The clinical use of AMH has recently been extended and emphasized. The uses of AMH as a predictive marker of menopause onset, diagnostic tool for polycystic ovary syndrome, and assessment of ovarian function before and after gynecologic surgeries or gonadotoxic agents such as chemotherapy have been investigated. Serum AMH levels can also be affected by environmental and genetic factors; thus, the effects of factors that may alter AMH test results should be considered. This review summarizes the findings of recent studies focusing on the clinical application of AMH and factors that influence the AMH level and opinions on the use of the AMH level to assess the probability of conception before reproductive life planning as a "fertility test."

• Clinical and Experimental Reproductive Medicine
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• v.44 no.1
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• pp.1-7
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• 2017

The task force of the Korean Society for Reproductive Immunology recommends intravenous immunoglobulin G treatment in women with reproductive failure, including recurrent pregnancy loss and/or repeated implantation failure, who show cellular immune factors such as abnormal natural killer cell levels, natural killer cell cytotoxicity, and/or type 1 T helper immunity.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.7
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• pp.2959-2965
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• 2015

The incidence and mortality rates of breast cancer in Northeast Brazil are increasing and little is known about prevailing reproductive factors contributing to this increase. A case-control study was conducted in a public hospital of Campina Grande, state of $Para{\acute{i}}ba$, including 81 women with diagnosed invasive breast cancer and 162 age matched (${\pm}5years$) controls. Binominal logistic regression analysis was applied to estimate odds ratio (OR) and confidence intervals (CI) of risk factors. In this model, age at menarche ${\leq}12$ (OR=2.120; CI: 1.043-4.308; p=0.038), single parity (OR=3.748; CI: 1.459-9.627; p=0.06) and reproductive period >10 years (OR=3.042; CI: 1.421-6.512; p=0.04) were identified as independent variables that significantly increased breast cancer risk of parous women. Compared to parous women who never practised breastfeeding, total breastfeeding time > 24 months decreased the risk of breast cancer (OR=0.258; CI: 0.084-0.787; p=0.017). The results indicated that modifiable reproductive factors contribute to breast cancer risk in women included in the present study. Women's knowledge about factors such as the protective effect of breastfeeding could reduce the risk of breast cancer.