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Electroacupuncture for reproductive hormone levels in patients with diminished ovarian reserve: a prospective observational study.

ABSTRACT: BACKGROUND:Effective methods for the treatment of reproductive dysfunction are limited. Previous studies have reported that acupuncture can modulate female hormone levels, improve menstrual disorders, alleviate depression and improve pregnancy rates. However, studies of acupuncture for diminished ovarian reserve (DOR) are lacking. OBJECTIVE:To carry out a prospective observational study aimed at assessing the effect of EA on the reproductive hormone levels of patients with DOR seeking fertility support and consider its safety. METHODS:Eligible patients with DOR received EA for 12 weeks: five times a week for 4?weeks followed by three times a week for 8?weeks. The primary outcome was the change in mean follicle-stimulating hormone (FSH) level at week 12. Mean luteinising hormone (LH) and serum oestradiol (E2) levels, FSH/LH ratios and symptom scale scores were simultaneously observed. RESULTS:Twenty-one patients with DOR were included in the final analysis. Mean FSH levels fell from 19.33±9.47?mIU/mL at baseline to 10.58±6.34?mIU/mL at week 12 and 11.25±6.68?mIU/mL at week 24. Change in mean FSH from baseline was -8.75±11.13?mIU/mL at week 12 (p=0.002) and -8.08±9.56?mIU/mL at week 24 (p=0.001). Mean E2 and LH levels, FSH/LH ratios and irritability scores were improved at weeks 12 and/or 24. Approximately 30% patients reported subjective increases in menstrual volume after treatment. CONCLUSIONS:EA may modulate reproductive hormone levels and the effects seem to persist for at least 12?weeks after treatment with no significant side effects. EA may improve the ovarian reserve of patients with DOR, though further research is needed. TRIAL REGISTRATION NUMBER:NCT02229604; Results.

SUBMITTER: Wang Y

PROVIDER: S-EPMC5099178 | biostudies-literature | 2016 Oct

REPOSITORIES: biostudies-literature

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Electroacupuncture for reproductive hormone levels in patients with diminished ovarian reserve: a prospective observational study.

Wang Yang Y Li Yanhong Y Chen Ruixue R Cui Xiaoming X Yu Jinna J Liu Zhishun Z

Acupuncture in medicine : journal of the British Medical Acupuncture Society 20160513 5

<h4>Background</h4>Effective methods for the treatment of reproductive dysfunction are limited. Previous studies have reported that acupuncture can modulate female hormone levels, improve menstrual disorders, alleviate depression and improve pregnancy rates. However, studies of acupuncture for diminished ovarian reserve (DOR) are lacking.<h4>Objective</h4>To carry out a prospective observational study aimed at assessing the effect of EA on the reproductive hormone levels of patients with DOR see ...[more]

PMID: 27177929

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Project description:BackgroundIncreasing evidence supports that the co-treatment with growth hormone (GH) enhances ovarian response and oocyte quality during controlled ovarian stimulation (COS) in patients with diminished ovarian reserve (DOR). The composition of follicular fluid (FF) plays an essential role in oocyte development and mirrors the communication occurring between the oocyte and follicular microenvironment. However, the effect of GH on the FF metabolome remains unclear.MethodsThis prospective observational study recruited DOR patients undergoing in vitro fertilization (IVF) cycles with minimal stimulation protocol for COS. Each patient receiving GH co-treatment was matched to a patient without GH co-treatment by propensity score matching. The FF was collected after isolating oocytes and assayed by gas chromatograph-mass spectrometry (GC-MS) metabolomics. The Pearson correlation was performed to evaluate the relationship between the number of oocytes retrieved and the levels of differential metabolites. The KEGG database was used to map differential metabolites onto various metabolic pathways.ResultsOne hundred thirty-four FF metabolites were identified by GC-MS metabolomics. Twenty-four metabolites, including glutathione, itaconic acid and S-adenosylmethionin (SAM) showed significant differences between the GH and control groups (p-value < 0.05 and q-value < 0.1). In addition, the number of oocytes retrieved was significantly higher in the GH group compared to the control group (3 vs 2, p = 0.04) and correlated with the levels of five differential metabolites. Among them, the levels of antioxidant metabolite itaconic acid were upregulated by GH administration, while SAM levels were downregulated.ConclusionsThe co-treatment with GH during COS may improve oocyte development by altering FF metabolite profiles in DOR patients. However, given the downregulation of SAM, a regulator of genomic imprinting, the potential risk of imprinting disturbances should not be neglected.

Project description:BackgroundPreviously, we reported a model for assessing ovarian reserves using 4 predictors: anti-Müllerian hormone (AMH) level, antral follicle count (AFC), follicle-stimulating hormone (FSH) level, and female age. This model is referred as the AAFA (anti-Müllerian hormone level-antral follicle count-follicle-stimulating hormone level-age) model.ObjectiveThis study aims to explore the possibility of establishing a model for predicting ovarian reserves using only 3 factors: AMH level, FSH level, and age. The proposed model is referred to as the AFA (anti-Müllerian hormone level-follicle-stimulating hormone level-age) model.MethodsOocytes from ovarian cycles stimulated by gonadotropin-releasing hormone antagonist were collected retrospectively at our reproductive center. Poor ovarian response (<5 oocytes retrieved) was defined as an outcome variable. The AFA model was built using a multivariable logistic regression analysis on data from 2017; data from 2018 were used to validate the performance of AFA model. Measurements of the area under the curve (AUC), sensitivity, specificity, positive predictive value, and negative predicative value were used to evaluate the performance of the model. To rank the ovarian reserves of the whole population, we ranked the subgroups according to the predicted probability of poor ovarian response and further divided the 60 subgroups into 4 clusters, A-D, according to cut-off values consistent with the AAFA model.ResultsThe AUCs of the AFA and AAFA models were similar for the same validation set, with values of 0.853 (95% CI 0.841-0.865) and 0.850 (95% CI 0.838-0.862), respectively. We further ranked the ovarian reserves according to their predicted probability of poor ovarian response, which was calculated using our AFA model. The actual incidences of poor ovarian response in groups from A-D in the AFA model were 0.037 (95% CI 0.029-0.046), 0.128 (95% CI 0.099-0.165), 0.294 (95% CI 0.250-0.341), and 0.624 (95% CI 0.577-0.669), respectively. The order of ovarian reserve from adequate to poor followed the order from A to D. The clinical pregnancy rate, live-birth rate, and specific differences in groups A-D were similar when predicted using the AFA and AAFA models.ConclusionsThis AFA model for assessing the true ovarian reserve was more convenient, cost-effective, and objective than our original AAFA model.

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Electroacupuncture for reproductive hormone levels in patients with diminished ovarian reserve: a prospective observational study.

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Electroacupuncture for reproductive hormone levels in patients with diminished ovarian reserve: a prospective observational study.

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