RESUMEN
The utilization of herbal formulations for the management of reproductive tract disorders has been a longstanding practice in traditional medicine. In this study, we investigated the efficacy of a herbal extract, Shalmali (Bombax ceiba), in addressing uterine bleeding, a common concern in gynecological health. Through gene expression analysis, this study examined the impact of Shalmali extract on key genes associated with uterine bleeding, namely ESR1, CD56, and SDF-1, in the human endometrial stromal cell line (T HESC). Our findings revealed a dose-dependent decrease in ESR1 and CD56 gene expression levels following treatment with Shalmali extract, suggesting its potential to modulate hormonal and cellular processes involved in uterine bleeding. Notably, an increase in SDF-1 gene expression was observed, indicating a possible role of Shalmali extract in promoting tissue repair and regeneration. Comparison with the standard drug tranexamic acid demonstrated similar effects on gene expression levels, further validating the therapeutic potential of Shalmali extract. Agarose gel electrophoresis images supported these findings, showing reduced gene expression in cells treated with Shalmali extract comparable to those treated with tranexamic acid. These results underscore the promising efficacy of Shalmali extract as a natural alternative for managing uterine bleeding, potentially offering a safe and effective treatment option for individuals seeking traditional remedies for gynecological concerns. Further research is warranted to elucidate the underlying mechanisms of action and assess the long-term safety and efficacy of Shalmali extract in clinical settings.
RESUMEN
Objective Fetal growth can be affected by maternal PCOS and may have an impact on offspring and childhood growth. The current findings across studies are divergent and controversial. This study aims to determine whether maternal PCOS can affect the physical measurements of newborns and to establish the differences in birth weight, length, head, and chest circumference between newborns of mothers with polycystic ovarian syndrome and those of mothers without polycystic ovarian syndrome. Methods In this study, we examined the gestational age, birth weight, length, head circumference, chest circumference, and ponderal index of 75 infants born to mothers with polycystic ovary syndrome (PCOS) and compared them to those of 94 infants born to mothers without PCOS. Result Compared with the other groups, the PCOS group does not show significant differences in anthropometric indices compared to the control group. Infants born to normal and PCOS mothers birth weight were categorized as SGA (small for gestational age) if birth weight was less than the 5th percentile. LGA is large for gestational age if birth weight is greater than the 90th percentile. Other appropriate for gestational age if infant birth weight is between> 5th and < 90th percentile. Significant differences in anthropometric indices like birth weight, head circumference, and Ponderal index were observed in SGA and LGA newborns of normal and PCOS mothers. Conclusion The study findings indicate that neonates born to mothers with PCOS have higher rates of SGA and LGA newborns, and differences in anthropometric indices (birth weight, head circumference, and Ponderal index) were observed between SGA and LGA newborns of PCOS mothers.
RESUMEN
Introduction Anti-mullerian hormone (AMH) is a member of the transforming growth factor ß family and is a marker of ovarian reserve; it is produced by the granulosa cells of developing preantral and early antral ovarian follicles. AMH concentration decreases with increasing age. Its concentration is increased relatively in those with polycystic ovary syndrome (PCOS) than eumenorrheic women. Objectives In this research, using a model of AMH over age, the age of menopause is predicted in PCOS and eumenorrheic women. Study design The study subjects were classified into two groups. Group 1 included PCOS subjects. Group 2 included eumenorrheic women. General profiles such as age, BMI, and hormonal parameters such as AMH were measured. Based on the exponential functional dependence of AMH over age, a model was proposed, and the value of exponential constants such as log ßo and ß1 were calculated using least square approximation. An arbitrary value of 0.2 ng/mL for AMH was taken as a cut-off value to predict the age of menopause in both groups. Outcome measures We predicted the age of menopause using a model of AMH over age by the least square approximation technique. Results The age prediction for menopause using the least squares model of AMH over age showed that in group 1 patients with PCOS, menopause is projected to occur at around 54.7 years, while in group 2 with eumenorrheic women, it is expected to happen at approximately 45.2 years. Conclusion Data demonstrates that serum AMH concentration declines over time, and predicting the age of menopause reflects sustained reproductive life span in PCOS subjects.