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Jiang Y, Cui C, Li Y, Zhang C. Early pregnancy loss rate in first-time fresh cycles of low prognosis patients according to the POSEIDON criteria: a single-center data analysis. Reprod Biol Endocrinol 2025; 23:50. [PMID: 40158126 PMCID: PMC11954217 DOI: 10.1186/s12958-025-01384-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2025] [Accepted: 03/16/2025] [Indexed: 04/01/2025] Open
Abstract
BACKGROUNDS The study was designed to analyze early pregnancy loss rates in first-time fresh embryo transfer cycles in low prognosis patients according to the POSEIDON criteria. METHODS This was a retrospective cohort study, including patients with positive human chorionic gonadotropin after first fresh cycles in the Reproductive Center of Henan Province People's Hospital from June 2018 to February 2023. A total of 2392 cycles were included in this study, which were divided into 4 groups according to the POSEIDON criteria. The general condition, laboratory indexes, and early pregnancy loss rates of patients were compared in each group and the prediction model was constructed in POSEIDON group 4. RESULTS The early pregnancy loss rate ranked from high to low in order of Group D (32.82%), Group B (23.31%), Group C (15.34%), and Group A (13.68%). After adjusting confounding factors, multivariate logistic regression analysis revealed that the early pregnancy loss rate was significantly higher in groups B and D than in groups A and C (all P < 0.05). The comparison between Group A and Group C, as well as between Group B and Group D, showed no statistical differences (both P > 0.05). Group D was randomly divided into training and validation cohorts according to 7:3. The prediction model was constructed based on risk factors. The AUC of the training cohort was 0.761(95% CI: 0.680-0.841), and the AUC of the validation cohort was 0.604(95% CI: 0.440-0.767). CONCLUSIONS Patients in POSEIDON group 4 have the highest early pregnancy loss rate, followed by group 2, while patients in groups 3 and 1 have the lowest rate in first-time fresh cycles. The prediction model was successfully established which can predict the occurrence of early pregnancy loss in first-time fresh cycles in POSEIDON group 4.
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Affiliation(s)
- Yilin Jiang
- Reproductive Medicine Center, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Chenchen Cui
- Reproductive Medicine Center, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yan Li
- Reproductive Medicine Center, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Cuilian Zhang
- Reproductive Medicine Center, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, Henan, China.
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Teng Y, Pan P, Liu C, Lin Y, Zhu X, Wu S, Yang H, Huang X, Lian F. Identify high-risk DOR women ≤ 35 years old following assisted reproduction technology through cutoffs of anti-mullerian hormone and antral follicle counts. Reprod Biol Endocrinol 2024; 22:130. [PMID: 39456075 PMCID: PMC11515411 DOI: 10.1186/s12958-024-01298-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Accepted: 10/06/2024] [Indexed: 10/28/2024] Open
Abstract
BACKGROUND Females with diminished ovarian reserve (DOR) have significantly lower cumulative live birth rates (CLBRs) than females with normal ovarian reserve. A subset of young infertile patients, whose ovarian reserve is declining but has not yet met the POSEIDON criteria for DOR, has not received the attention it merited. These individuals have not been identified in a timely manner prior to the initiation of assisted reproductive technology (ART), leading to suboptimal clinical pregnancy outcomes. We categorized this overlooked cohort as the "high-risk DOR" group. OBJECTIVE The primary aim of this study was to identify high-risk DOR patients through anti-Mullerian hormone (AMH) and antral follicle counts (AFCs). METHODS A total of 10037 young women (≤ 35 years old) who underwent their first initial oocyte aspiration cycle at a single reproductive medicine center were included and further classified into three groups, based on the thresholds for AMH and AFC established through receiver operating characteristic (ROC) analysis and in alignment with the POSEIDON criteria. Two ROC analyses were performed to identify the cutoff values of AMH and AFC to obtain one viable embryo (one top-quality embryo or one viable blastocyst). The cutoffs of ROC were measured by sensitivity and specificity. The primary outcome was the cumulative live birth rate (CLBR) per oocyte aspiration cycle. The secondary outcomes included the number of oocytes retrieved and the number of viable embryos formed. Pearson's chi-square tests were conducted to compare the clinical outcomes among the three groups. Furthermore, univariate logistic regression analyses were performed to investigate the associations between ovarian reserve and clinical outcomes. All of the above comparisons between the high-risk DOR and NOR were further confirmed by propensity score matching (PSM) (1:1 nearest-neighbor matching, with a caliper width of 0.02). RESULTS According to the ROC analyses and POSEIDON criteria, the present study identified a population of high-risk DOR patients (1.20 ng/mL < AMH values < 2.50 ng/mL, with 6 ≤ AFC ≤ 10; n = 682), and their outcomes were further compared to those of DOR patients (positive control, AMH values ≤ 1.2 ng/mL, and/or AFC ≤ 5; n = 1153) and of NOR patients (negative control, 2.5 ng/mL ≤ AMH values ≤ 5.5 ng/mL, and 11 ≤ AFC ≤ 20; n = 2649). Patients in the high-risk DOR group had significantly lower CLBRs than those in the NOR group (p < 0.001) but higher CLBRs than those in the DOR group (p < 0.001). Logistic regression further demonstrated that high-risk DOR was associated with a lower likelihood of cumulative live birth chance (OR 0.401, 95% CI: 0.332-0.486, p < 0.001) than NOR was, with a greater likelihood of cumulative live birth chance (OR 1.911, 95% CI:1.558-2.344, p < 0.001) than DOR was. To investigate the effects of embryo development stage, the outcomes of D3 embryos and blastocysts were analyzed separately. Significant differences in pregnancy outcomes were detected only in D3 embryo ET cycles among the three groups (high-risk DOR vs. NOR, all p < 0.05; DOR vs. NOR, all p < 0.05). DOR/high-risk DOR did not influence the pregnancy loss rates or pregnancy outcomes (clinical pregnancy rates and ongoing pregnancy rates) per positive HCG cycle (all p > 0.05). After PSM, the differences in ovarian response and pregnancy outcomes between the high-risk DOR and NOR groups were consistent with the results before PSM. CONCLUSION(S) Our study revealed that the CLBR of the high-risk DOR patients was significantly lower than that of females with normal ovarian reserve and greater than that of females with DOR. The values of AMH ranging from 1.2 to 2.5 and AFC ranging from 6 to 10 appeared to constitute meaningful thresholds in females with mildly reduced ovarian reserve.
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Affiliation(s)
- Yili Teng
- The First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, 250355, China
- Reproductive Medicine Center, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, 325015, China
| | - Peipei Pan
- Reproductive Medicine Center, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, 325015, China
| | - Chang Liu
- Reproductive Medicine Center, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, 325015, China
| | - Yue Lin
- Reproductive Medicine Center, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, 325015, China
| | - Xiaozhu Zhu
- Reproductive Medicine Center, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, 325015, China
| | - Suichun Wu
- Reproductive Medicine Center, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, 325015, China
| | - Haiyan Yang
- Reproductive Medicine Center, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, 325015, China
| | - Xuefeng Huang
- Reproductive Medicine Center, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, 325015, China
| | - Fang Lian
- The First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, 250355, China.
- Department of Reproduction and Genetics, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, No. 42, Wenhua West Road, Jinan, Shandong Province, 250011, China.
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Ortiz JA, Lledó B, Morales R, Máñez-Grau A, Cascales A, Rodríguez-Arnedo A, Castillo JC, Bernabeu A, Bernabeu R. Factors affecting biochemical pregnancy loss (BPL) in preimplantation genetic testing for aneuploidy (PGT-A) cycles: machine learning-assisted identification. Reprod Biol Endocrinol 2024; 22:101. [PMID: 39118049 PMCID: PMC11308629 DOI: 10.1186/s12958-024-01271-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2024] [Accepted: 07/29/2024] [Indexed: 08/10/2024] Open
Abstract
PURPOSE To determine the factors influencing the likelihood of biochemical pregnancy loss (BPL) after transfer of a euploid embryo from preimplantation genetic testing for aneuploidy (PGT-A) cycles. METHODS The study employed an observational, retrospective cohort design, encompassing 6020 embryos from 2879 PGT-A cycles conducted between February 2013 and September 2021. Trophectoderm biopsies in day 5 (D5) or day 6 (D6) blastocysts were analyzed by next generation sequencing (NGS). Only single embryo transfers (SET) were considered, totaling 1161 transfers. Of these, 49.9% resulted in positive pregnancy tests, with 18.3% experiencing BPL. To establish a predictive model for BPL, both classical statistical methods and five different supervised classification machine learning algorithms were used. A total of forty-seven factors were incorporated as predictor variables in the machine learning models. RESULTS Throughout the optimization process for each model, various performance metrics were computed. Random Forest model emerged as the best model, boasting the highest area under the ROC curve (AUC) value of 0.913, alongside an accuracy of 0.830, positive predictive value of 0.857, and negative predictive value of 0.807. For the selected model, SHAP (SHapley Additive exPlanations) values were determined for each of the variables to establish which had the best predictive ability. Notably, variables pertaining to embryo biopsy demonstrated the greatest predictive capacity, followed by factors associated with ovarian stimulation (COS), maternal age, and paternal age. CONCLUSIONS The Random Forest model had a higher predictive power for identifying BPL occurrences in PGT-A cycles. Specifically, variables associated with the embryo biopsy procedure (biopsy day, number of biopsied embryos, and number of biopsied cells) and ovarian stimulation (number of oocytes retrieved and duration of stimulation), exhibited the strongest predictive power.
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Affiliation(s)
- José A Ortiz
- Instituto Bernabeu, Molecular Biology Department, Alicante, Spain.
| | - B Lledó
- Instituto Bernabeu, Molecular Biology Department, Alicante, Spain
| | - R Morales
- Instituto Bernabeu, Molecular Biology Department, Alicante, Spain
| | - A Máñez-Grau
- Instituto Bernabeu, Reproductive Biology, Alicante, Spain
| | - A Cascales
- Instituto Bernabeu, Molecular Biology Department, Alicante, Spain
| | | | | | - A Bernabeu
- Instituto Bernabeu, Reproductive Medicine, Alicante, Spain
- Cátedra de Medicina Comunitaria y Salud Reproductiva, Miguel Hernández University, Alicante, Spain
| | - R Bernabeu
- Instituto Bernabeu, Reproductive Medicine, Alicante, Spain
- Cátedra de Medicina Comunitaria y Salud Reproductiva, Miguel Hernández University, Alicante, Spain
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Zhu S, Jiang W, Liao X, Sun Y, Chen X, Zheng B. Effect of diminished ovarian reserve on the outcome of fresh embryo transfer in IVF/ICSI cycles among young women: A retrospective cohort study. BMC Womens Health 2024; 24:230. [PMID: 38594688 PMCID: PMC11003098 DOI: 10.1186/s12905-024-03039-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Accepted: 03/21/2024] [Indexed: 04/11/2024] Open
Abstract
OBJECTIVE This study aims to investigate the effect of diminished ovarian reserve (DOR) on the clinical outcomes and maternal and infant safety of in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) procedures in young women aged ≤ 35 years. METHODS A retrospective cohort study was performed to analyze the clinical data of 4,203 infertile women aged ≤ 35 years who underwent fresh embryo transfer (ET) in IVF/ICSI cycles. The data were collected from their initial visits to Fujian Maternity and Child Health Hospital between January 2015 and January 2022. Based on their ovarian reserve, the participants were categorized into two groups: DOR group (n = 1,027) and non-DOR group (n = 3,176). A propensity score matching (PSM) method was employed to ensure a relatively balanced distribution of covariates. The primary outcome assessed in this study was the live birth rate, while the secondary observation indicators included rates of high-quality embryo development, blastocyst formation, clinical pregnancy, and miscarriage, along with perinatal complications, neonatal birth weight, and the incidence of low birth weight (LBW). RESULTS The DOR group showed notably lowered rates of blastocyst formation (59.8% vs. 64.1%), embryo implantation (29.8% vs.33.3%), clinical pregnancy (47.9% vs. 53.6%), and live birth (40.6% vs. 45.7%) compared to the non-DOR group (all P < 0.05). However, no statistically significant differences were observed in the high-quality embryo rate, miscarriage rate, perinatal complications, neonatal birth weight, or LBW incidence in infants between both groups (all P > 0.05). CONCLUSION DOR has been found to reduce both clinical pregnancy and live birth rates in young females undergoing fresh ET in IVF/ICSI cycles. However, this reduction does not increase the risk of perinatal complications or LBW of infants through live birth cycles.
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Affiliation(s)
- Suqin Zhu
- Center of Reproductive Medicine, Fujian Maternity and Child Health Hospital, Fujian Medical University, Fuzhou, 350001, China
- Fujian Maternal-Fetal Clinical Medicine Research Center, Fuzhou, 350001, China
| | - Wenwen Jiang
- Center of Reproductive Medicine, Fujian Maternity and Child Health Hospital, Fujian Medical University, Fuzhou, 350001, China
| | - Xiuhua Liao
- Center of Reproductive Medicine, Fujian Maternity and Child Health Hospital, Fujian Medical University, Fuzhou, 350001, China
| | - Yan Sun
- Center of Reproductive Medicine, Fujian Maternity and Child Health Hospital, Fujian Medical University, Fuzhou, 350001, China
| | - Xiaojing Chen
- Center of Reproductive Medicine, Fujian Maternity and Child Health Hospital, Fujian Medical University, Fuzhou, 350001, China.
- Fujian Provincial Reproductive Medicine Center, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, No. 18 Daoshan Road, Fuzhou City, Fujian Province, 350001, China.
| | - Beihong Zheng
- Center of Reproductive Medicine, Fujian Maternity and Child Health Hospital, Fujian Medical University, Fuzhou, 350001, China.
- Fujian Key Laboratory of Prenatal Diagnosis and Birth Defect, Fuzhou, 350001, China.
- Fujian Provincial Reproductive Medicine Center, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, No. 18 Daoshan Road, Fuzhou City, Fujian Province, 350001, China.
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Telfer EE, Grosbois J, Odey YL, Rosario R, Anderson RA. Making a good egg: human oocyte health, aging, and in vitro development. Physiol Rev 2023; 103:2623-2677. [PMID: 37171807 PMCID: PMC10625843 DOI: 10.1152/physrev.00032.2022] [Citation(s) in RCA: 57] [Impact Index Per Article: 28.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 05/03/2023] [Accepted: 05/06/2023] [Indexed: 05/13/2023] Open
Abstract
Mammalian eggs (oocytes) are formed during fetal life and establish associations with somatic cells to form primordial follicles that create a store of germ cells (the primordial pool). The size of this pool is influenced by key events during the formation of germ cells and by factors that influence the subsequent activation of follicle growth. These regulatory pathways must ensure that the reserve of oocytes within primordial follicles in humans lasts for up to 50 years, yet only approximately 0.1% will ever be ovulated with the rest undergoing degeneration. This review outlines the mechanisms and regulatory pathways that govern the processes of oocyte and follicle formation and later growth, within the ovarian stroma, through to ovulation with particular reference to human oocytes/follicles. In addition, the effects of aging on female reproductive capacity through changes in oocyte number and quality are emphasized, with both the cellular mechanisms and clinical implications discussed. Finally, the details of current developments in culture systems that support all stages of follicle growth to generate mature oocytes in vitro and emerging prospects for making new oocytes from stem cells are outlined.
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Affiliation(s)
- Evelyn E Telfer
- Institute of Cell Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Centre for Discovery Brain Sciences, Biomedical Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Johanne Grosbois
- Institute of Cell Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Centre for Discovery Brain Sciences, Biomedical Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Yvonne L Odey
- Institute of Cell Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Centre for Discovery Brain Sciences, Biomedical Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Roseanne Rosario
- Centre for Discovery Brain Sciences, Biomedical Sciences, University of Edinburgh, Edinburgh, United Kingdom
- MRC Centre for Reproductive Health, Queens Medical Research Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Richard A Anderson
- MRC Centre for Reproductive Health, Queens Medical Research Institute, University of Edinburgh, Edinburgh, United Kingdom
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Bao H, Cao J, Chen M, Chen M, Chen W, Chen X, Chen Y, Chen Y, Chen Y, Chen Z, Chhetri JK, Ding Y, Feng J, Guo J, Guo M, He C, Jia Y, Jiang H, Jing Y, Li D, Li J, Li J, Liang Q, Liang R, Liu F, Liu X, Liu Z, Luo OJ, Lv J, Ma J, Mao K, Nie J, Qiao X, Sun X, Tang X, Wang J, Wang Q, Wang S, Wang X, Wang Y, Wang Y, Wu R, Xia K, Xiao FH, Xu L, Xu Y, Yan H, Yang L, Yang R, Yang Y, Ying Y, Zhang L, Zhang W, Zhang W, Zhang X, Zhang Z, Zhou M, Zhou R, Zhu Q, Zhu Z, Cao F, Cao Z, Chan P, Chen C, Chen G, Chen HZ, Chen J, Ci W, Ding BS, Ding Q, Gao F, Han JDJ, Huang K, Ju Z, Kong QP, Li J, Li J, Li X, Liu B, Liu F, Liu L, Liu Q, Liu Q, Liu X, Liu Y, Luo X, Ma S, Ma X, Mao Z, Nie J, Peng Y, Qu J, Ren J, Ren R, Song M, Songyang Z, Sun YE, Sun Y, Tian M, Wang S, et alBao H, Cao J, Chen M, Chen M, Chen W, Chen X, Chen Y, Chen Y, Chen Y, Chen Z, Chhetri JK, Ding Y, Feng J, Guo J, Guo M, He C, Jia Y, Jiang H, Jing Y, Li D, Li J, Li J, Liang Q, Liang R, Liu F, Liu X, Liu Z, Luo OJ, Lv J, Ma J, Mao K, Nie J, Qiao X, Sun X, Tang X, Wang J, Wang Q, Wang S, Wang X, Wang Y, Wang Y, Wu R, Xia K, Xiao FH, Xu L, Xu Y, Yan H, Yang L, Yang R, Yang Y, Ying Y, Zhang L, Zhang W, Zhang W, Zhang X, Zhang Z, Zhou M, Zhou R, Zhu Q, Zhu Z, Cao F, Cao Z, Chan P, Chen C, Chen G, Chen HZ, Chen J, Ci W, Ding BS, Ding Q, Gao F, Han JDJ, Huang K, Ju Z, Kong QP, Li J, Li J, Li X, Liu B, Liu F, Liu L, Liu Q, Liu Q, Liu X, Liu Y, Luo X, Ma S, Ma X, Mao Z, Nie J, Peng Y, Qu J, Ren J, Ren R, Song M, Songyang Z, Sun YE, Sun Y, Tian M, Wang S, Wang S, Wang X, Wang X, Wang YJ, Wang Y, Wong CCL, Xiang AP, Xiao Y, Xie Z, Xu D, Ye J, Yue R, Zhang C, Zhang H, Zhang L, Zhang W, Zhang Y, Zhang YW, Zhang Z, Zhao T, Zhao Y, Zhu D, Zou W, Pei G, Liu GH. Biomarkers of aging. SCIENCE CHINA. LIFE SCIENCES 2023; 66:893-1066. [PMID: 37076725 PMCID: PMC10115486 DOI: 10.1007/s11427-023-2305-0] [Show More Authors] [Citation(s) in RCA: 154] [Impact Index Per Article: 77.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 02/27/2023] [Indexed: 04/21/2023]
Abstract
Aging biomarkers are a combination of biological parameters to (i) assess age-related changes, (ii) track the physiological aging process, and (iii) predict the transition into a pathological status. Although a broad spectrum of aging biomarkers has been developed, their potential uses and limitations remain poorly characterized. An immediate goal of biomarkers is to help us answer the following three fundamental questions in aging research: How old are we? Why do we get old? And how can we age slower? This review aims to address this need. Here, we summarize our current knowledge of biomarkers developed for cellular, organ, and organismal levels of aging, comprising six pillars: physiological characteristics, medical imaging, histological features, cellular alterations, molecular changes, and secretory factors. To fulfill all these requisites, we propose that aging biomarkers should qualify for being specific, systemic, and clinically relevant.
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Affiliation(s)
- Hainan Bao
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
| | - Jiani Cao
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Mengting Chen
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, China
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Min Chen
- Clinic Center of Human Gene Research, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Clinical Research Center of Metabolic and Cardiovascular Disease, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Wei Chen
- Stem Cell Translational Research Center, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China
| | - Xiao Chen
- Department of Nuclear Medicine, Daping Hospital, Third Military Medical University, Chongqing, 400042, China
| | - Yanhao Chen
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Yu Chen
- Shanghai Key Laboratory of Maternal Fetal Medicine, Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Yutian Chen
- The Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Zhiyang Chen
- Key Laboratory of Regenerative Medicine of Ministry of Education, Institute of Ageing and Regenerative Medicine, Jinan University, Guangzhou, 510632, China
| | - Jagadish K Chhetri
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Yingjie Ding
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Junlin Feng
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Jun Guo
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, China
| | - Mengmeng Guo
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, China
| | - Chuting He
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Yujuan Jia
- Department of Neurology, First Affiliated Hospital, Shanxi Medical University, Taiyuan, 030001, China
| | - Haiping Jiang
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Ying Jing
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China
| | - Dingfeng Li
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230036, China
| | - Jiaming Li
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jingyi Li
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Qinhao Liang
- College of Life Sciences, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, 430072, China
| | - Rui Liang
- Research Institute of Transplant Medicine, Organ Transplant Center, NHC Key Laboratory for Critical Care Medicine, Tianjin First Central Hospital, Nankai University, Tianjin, 300384, China
| | - Feng Liu
- MOE Key Laboratory of Gene Function and Regulation, Guangzhou Key Laboratory of Healthy Aging Research, School of Life Sciences, Institute of Healthy Aging Research, Sun Yat-sen University, Guangzhou, 510275, China
| | - Xiaoqian Liu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Zuojun Liu
- School of Life Sciences, Hainan University, Haikou, 570228, China
| | - Oscar Junhong Luo
- Department of Systems Biomedical Sciences, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Jianwei Lv
- School of Life Sciences, Xiamen University, Xiamen, 361102, China
| | - Jingyi Ma
- The State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Kehang Mao
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, 100871, China
| | - Jiawei Nie
- Shanghai Institute of Hematology, State Key Laboratory for Medical Genomics, National Research Center for Translational Medicine (Shanghai), International Center for Aging and Cancer, Collaborative Innovation Center of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xinhua Qiao
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
| | - Xinpei Sun
- Peking University International Cancer Institute, Health Science Center, Peking University, Beijing, 100101, China
| | - Xiaoqiang Tang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Jianfang Wang
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Qiaoran Wang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Siyuan Wang
- Clinical Research Institute, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100730, China
| | - Xuan Wang
- Hepatobiliary and Pancreatic Center, Medical Research Center, Beijing Tsinghua Changgung Hospital, Beijing, 102218, China
| | - Yaning Wang
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Yuhan Wang
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Rimo Wu
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China
| | - Kai Xia
- Center for Stem Cell Biologyand Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, 510080, China
- National-Local Joint Engineering Research Center for Stem Cells and Regenerative Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Fu-Hui Xiao
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China
- State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Lingyan Xu
- Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China
| | - Yingying Xu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
| | - Haoteng Yan
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China
| | - Liang Yang
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, 510530, China
| | - Ruici Yang
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China
| | - Yuanxin Yang
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 201210, China
| | - Yilin Ying
- Department of Geriatrics, Medical Center on Aging of Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- International Laboratory in Hematology and Cancer, Shanghai Jiao Tong University School of Medicine/Ruijin Hospital, Shanghai, 200025, China
| | - Le Zhang
- Gerontology Center of Hubei Province, Wuhan, 430000, China
- Institute of Gerontology, Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Weiwei Zhang
- Department of Cardiology, The Second Medical Centre, Chinese PLA General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, 100853, China
| | - Wenwan Zhang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Xing Zhang
- Key Laboratory of Ministry of Education, School of Aerospace Medicine, Fourth Military Medical University, Xi'an, 710032, China
| | - Zhuo Zhang
- Optogenetics & Synthetic Biology Interdisciplinary Research Center, State Key Laboratory of Bioreactor Engineering, Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology, Shanghai, 200237, China
- Research Unit of New Techniques for Live-cell Metabolic Imaging, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Min Zhou
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, 410008, China
| | - Rui Zhou
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, China
| | - Qingchen Zhu
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Zhengmao Zhu
- Department of Genetics and Cell Biology, College of Life Science, Nankai University, Tianjin, 300071, China
- Haihe Laboratory of Cell Ecosystem, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Feng Cao
- Department of Cardiology, The Second Medical Centre, Chinese PLA General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, 100853, China.
| | - Zhongwei Cao
- State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
| | - Piu Chan
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
| | - Chang Chen
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Guobing Chen
- Department of Microbiology and Immunology, School of Medicine, Jinan University, Guangzhou, 510632, China.
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Guangzhou, 510000, China.
| | - Hou-Zao Chen
- Department of Biochemistryand Molecular Biology, State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100005, China.
| | - Jun Chen
- Peking University Research Center on Aging, Beijing Key Laboratory of Protein Posttranslational Modifications and Cell Function, Department of Biochemistry and Molecular Biology, Department of Integration of Chinese and Western Medicine, School of Basic Medical Science, Peking University, Beijing, 100191, China.
| | - Weimin Ci
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
| | - Bi-Sen Ding
- State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
| | - Qiurong Ding
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Feng Gao
- Key Laboratory of Ministry of Education, School of Aerospace Medicine, Fourth Military Medical University, Xi'an, 710032, China.
| | - Jing-Dong J Han
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, 100871, China.
| | - Kai Huang
- Clinic Center of Human Gene Research, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Hubei Clinical Research Center of Metabolic and Cardiovascular Disease, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
| | - Zhenyu Ju
- Key Laboratory of Regenerative Medicine of Ministry of Education, Institute of Ageing and Regenerative Medicine, Jinan University, Guangzhou, 510632, China.
| | - Qing-Peng Kong
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China.
- State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.
| | - Ji Li
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, China.
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, 410008, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China.
| | - Jian Li
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, China.
| | - Xin Li
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Baohua Liu
- School of Basic Medical Sciences, Shenzhen University Medical School, Shenzhen, 518060, China.
| | - Feng Liu
- Metabolic Syndrome Research Center, The Second Xiangya Hospital, Central South Unversity, Changsha, 410011, China.
| | - Lin Liu
- Department of Genetics and Cell Biology, College of Life Science, Nankai University, Tianjin, 300071, China.
- Haihe Laboratory of Cell Ecosystem, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
- Institute of Translational Medicine, Tianjin Union Medical Center, Nankai University, Tianjin, 300000, China.
- State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin, 300350, China.
| | - Qiang Liu
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230036, China.
| | - Qiang Liu
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, 300052, China.
- Tianjin Institute of Immunology, Tianjin Medical University, Tianjin, 300070, China.
| | - Xingguo Liu
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, 510530, China.
| | - Yong Liu
- College of Life Sciences, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, 430072, China.
| | - Xianghang Luo
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, 410008, China.
| | - Shuai Ma
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Xinran Ma
- Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China.
| | - Zhiyong Mao
- Shanghai Key Laboratory of Maternal Fetal Medicine, Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
| | - Jing Nie
- The State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
| | - Yaojin Peng
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Jing Qu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Jie Ren
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Ruibao Ren
- Shanghai Institute of Hematology, State Key Laboratory for Medical Genomics, National Research Center for Translational Medicine (Shanghai), International Center for Aging and Cancer, Collaborative Innovation Center of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- International Center for Aging and Cancer, Hainan Medical University, Haikou, 571199, China.
| | - Moshi Song
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Zhou Songyang
- MOE Key Laboratory of Gene Function and Regulation, Guangzhou Key Laboratory of Healthy Aging Research, School of Life Sciences, Institute of Healthy Aging Research, Sun Yat-sen University, Guangzhou, 510275, China.
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China.
| | - Yi Eve Sun
- Stem Cell Translational Research Center, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China.
| | - Yu Sun
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
- Department of Medicine and VAPSHCS, University of Washington, Seattle, WA, 98195, USA.
| | - Mei Tian
- Human Phenome Institute, Fudan University, Shanghai, 201203, China.
| | - Shusen Wang
- Research Institute of Transplant Medicine, Organ Transplant Center, NHC Key Laboratory for Critical Care Medicine, Tianjin First Central Hospital, Nankai University, Tianjin, 300384, China.
| | - Si Wang
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China.
| | - Xia Wang
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, China.
| | - Xiaoning Wang
- Institute of Geriatrics, The second Medical Center, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China.
| | - Yan-Jiang Wang
- Department of Neurology and Center for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, 400042, China.
| | - Yunfang Wang
- Hepatobiliary and Pancreatic Center, Medical Research Center, Beijing Tsinghua Changgung Hospital, Beijing, 102218, China.
| | - Catherine C L Wong
- Clinical Research Institute, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100730, China.
| | - Andy Peng Xiang
- Center for Stem Cell Biologyand Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, 510080, China.
- National-Local Joint Engineering Research Center for Stem Cells and Regenerative Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Yichuan Xiao
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Zhengwei Xie
- Peking University International Cancer Institute, Health Science Center, Peking University, Beijing, 100101, China.
- Beijing & Qingdao Langu Pharmaceutical R&D Platform, Beijing Gigaceuticals Tech. Co. Ltd., Beijing, 100101, China.
| | - Daichao Xu
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 201210, China.
| | - Jing Ye
- Department of Geriatrics, Medical Center on Aging of Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- International Laboratory in Hematology and Cancer, Shanghai Jiao Tong University School of Medicine/Ruijin Hospital, Shanghai, 200025, China.
| | - Rui Yue
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
| | - Cuntai Zhang
- Gerontology Center of Hubei Province, Wuhan, 430000, China.
- Institute of Gerontology, Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| | - Hongbo Zhang
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Liang Zhang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Weiqi Zhang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Yong Zhang
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China.
- The State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, 100005, China.
| | - Yun-Wu Zhang
- Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, 361102, China.
| | - Zhuohua Zhang
- Key Laboratory of Molecular Precision Medicine of Hunan Province and Center for Medical Genetics, Institute of Molecular Precision Medicine, Xiangya Hospital, Central South University, Changsha, 410078, China.
- Department of Neurosciences, Hengyang Medical School, University of South China, Hengyang, 421001, China.
| | - Tongbiao Zhao
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Yuzheng Zhao
- Optogenetics & Synthetic Biology Interdisciplinary Research Center, State Key Laboratory of Bioreactor Engineering, Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology, Shanghai, 200237, China.
- Research Unit of New Techniques for Live-cell Metabolic Imaging, Chinese Academy of Medical Sciences, Beijing, 100730, China.
| | - Dahai Zhu
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China.
- The State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, 100005, China.
| | - Weiguo Zou
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Gang Pei
- Shanghai Key Laboratory of Signaling and Disease Research, Laboratory of Receptor-Based Biomedicine, The Collaborative Innovation Center for Brain Science, School of Life Sciences and Technology, Tongji University, Shanghai, 200070, China.
| | - Guang-Hui Liu
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China.
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Laqqan MM, Yassin MM. Investigation of the Predictive Factors of Diminished Ovarian Reserve in Women Aged Less Than 40 Years and Undergoing ICSI Cycle. Reprod Sci 2023; 30:873-882. [PMID: 36002711 DOI: 10.1007/s43032-022-01055-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 07/30/2022] [Indexed: 11/30/2022]
Abstract
Diminished ovarian reserve (DOR) is one of the primary causes of poor ICSI outcomes. Therefore, this study was performed to speculate which of the following parameters: AMH, AFC, and women's age can be used as a predictor factor of the DOR in women aged < 40 years. This prospective study enrolled 500 women suffering from idiopathic infertility problems and who underwent GnRH antagonist multiple-dose stimulation protocol. The women were divided into two groups: normal fertility (FSH ≤ 10 mIU/mL, n = 300) and DOR (FSH > 10 mIU/mL, n = 200). At the time of the study, the average of women age was 29.3 ± 5.7 years. A significant reduction was found in AMH level, AFC, number of mature, immature oocytes, fertilized oocytes, embryos transferred, and β-hCG level in the DOR group compared to the normal fertility group (P < 0.001). Conversely, a significant increase was shown in the age of the DOR group compared to the normal fertility group (30.8 ± 5.8 vs. 28.2 ± 5.4, respectively; P < 0.001). A significant negative association was found between the AFC, the number of mature oocytes, fertilized oocytes, embryos transferred, and the basal level of FSH in the DOR group (P < 0.01). The receiver operating characteristics (ROC) demonstrated that AMH level and AFC had the highest accuracy, followed by age in the prediction of DOR (P < 0.001) with a cut-off value of ≤ 1.2 ng/mL, ≤ 4.5, and > 29.5 years, respectively. This study exhibited that the levels of AMH and AFC are the best biomarkers, followed by age for the prediction of DOR in women < 40 years old. Furthermore, AMH is the only independent factor that is significantly related to DOR in women.
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Affiliation(s)
- Mohammed M Laqqan
- Faculty of Health Sciences, Department of Medical Laboratory Sciences, Islamic University, P.O. Box 108, Gaza, Palestine.
| | - Maged M Yassin
- Faculty of Medicine, Department of Human Physiology, Islamic University, P.O. Box 108, Gaza, Palestine
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Mardanian F, Dehghani-Mohammadabadi R, Tehrani HG, Naghshineh E, Mehrabian F. Evaluation of correlation between antral follicle diameters with Follicular Output Rate (FORT) in women under controlled ovarian hyperstimulation for assisted reproductive techniques. BENI-SUEF UNIVERSITY JOURNAL OF BASIC AND APPLIED SCIENCES 2022. [DOI: 10.1186/s43088-022-00320-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Abstract
Background
This study aimed to determine the association of diametrical antral follicles with the ovarian response by Follicular Output Rate (FORT) ratio in 100 females undergoing in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI). This study selected 100 women undergoing controlled ovarian hyperstimulation (COH). The number of antral follicles (diameter of 3–10 mm) was calculated with two-dimensional vaginal sonography on days 1–3 of the cycle. Then, on a triggering day with human chorionic gonadotropin (HCG), the number of follicles (with a diameter of 16–22 mm) and the ratio of FORT were determined. The correlation among FORT with age, antral follicle count (AFC), AFC ≤ 5, AFC > 5, number of preovulatory follicles (16–20 mm), number of metaphase II (MII) oocytes, body mass index (BMI), infertility period, and anti-Mullerian hormone (AMH) was assessed.
Results
There was a significant correlation between FORT and total AFC, AFC > 5, number of preovulatory follicles (16–20 mm), and number of MII oocytes retrieved. There is no significant relationship between FORT and examined two variables (AMH and AFC ≤ 5). Multiple linear regression analysis showed no significant relationship between FORT and examined two variables (AMH and AFC > 5). There was a significant correlation between MII oocytes retrieved and age, total AFC, AFC ≤ 5, AFC > 5, number of preovulatory follicles (16–20 mm), and AMH. A significant positive relationship existed between MII oocytes retrieved and examined two variables (AFC ≤ 5 and AFC > 5).
Conclusion
There was not much difference in the correlation between the AFC ≤ 5 and AFC > 5, and both positively correlated with the number of MII oocytes retrieved.
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Liu L, Shen F, Liang H, Yang Z, Yang J, Chen J. Machine Learning-Based Modeling of Ovarian Response and the Quantitative Evaluation of Comprehensive Impact Features. Diagnostics (Basel) 2022; 12:diagnostics12020492. [PMID: 35204580 PMCID: PMC8871024 DOI: 10.3390/diagnostics12020492] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Revised: 01/22/2022] [Accepted: 02/11/2022] [Indexed: 01/27/2023] Open
Abstract
Appropriate ovarian responses to the controlled ovarian stimulation strategy is the premise for a good outcome of the in vitro fertilization cycle. With the booming of artificial intelligence, machine learning is becoming a popular and promising approach for tailoring a controlled ovarian stimulation strategy. Nowadays, most machine learning-based tailoring strategies aim to generally classify the controlled ovarian stimulation outcome, lacking the capacity to precisely predict the outcome and evaluate the impact features. Based on a clinical cohort composed of 1365 women and two machine learning methods of artificial neural network and supporting vector regression, a regression prediction model of the number of oocytes retrieved is trained, validated, and selected. Given the proposed model, an index called the normalized mean impact value is defined and calculated to reflect the importance of each impact feature. The proposed models can estimate the number of oocytes retrieved with high precision, with the regression coefficient being 0.882% and 89.84% of the instances having the prediction number ≤ 5. Among the impact features, the antral follicle count has the highest importance, followed by the E2 level on the human chorionic gonadotropin day, the age, and the Anti-Müllerian hormone, with their normalized mean impact value > 0.3. Based on the proposed model, the prognostic results for ovarian response can be predicted, which enables scientific clinical decision support for the customized controlled ovarian stimulation strategies for women, and eventually helps yield better in vitro fertilization outcomes.
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Affiliation(s)
- Liu Liu
- Department of Obstetrics and Gynecology, Renmin Hospital, Wuhan University, Wuhan 430072, China; (L.L.); (F.S.); (H.L.)
| | - Fujin Shen
- Department of Obstetrics and Gynecology, Renmin Hospital, Wuhan University, Wuhan 430072, China; (L.L.); (F.S.); (H.L.)
| | - Hua Liang
- Department of Obstetrics and Gynecology, Renmin Hospital, Wuhan University, Wuhan 430072, China; (L.L.); (F.S.); (H.L.)
| | - Zhe Yang
- Reproductive Medicine Center, Renmin Hospital, Wuhan University, Wuhan 430072, China;
| | - Jing Yang
- Reproductive Medicine Center, Renmin Hospital, Wuhan University, Wuhan 430072, China;
- Correspondence: (J.Y.); (J.C.)
| | - Jiao Chen
- Reproductive Medicine Center, Renmin Hospital, Wuhan University, Wuhan 430072, China;
- Correspondence: (J.Y.); (J.C.)
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10
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Tan J, Luo L, Jiang J, Yan N, Wang Q. Decreased Ovarian Reserves With an Increasing Number of Previous Early Miscarriages: A Retrospective Analysis. Front Endocrinol (Lausanne) 2022; 13:859332. [PMID: 35757430 PMCID: PMC9226329 DOI: 10.3389/fendo.2022.859332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 05/11/2022] [Indexed: 11/13/2022] Open
Abstract
The fact of ovarian reserve (OR) decreased in women with recurrent miscarriage has been well known. However, Whether OR would decrease with increasing numbers of previous miscarriages (PMs) is still unclear. To address this, OR parameters of following four groups' patients were evaluated: 99 women with one previous miscarriage (PM1), 46 women with two previous miscarriages (PM2) and 35 women with three or more previous miscarriages (PM3). The control group included 213 women without a history of miscarriage (PM0). The correlation of OR parameters and the proportion of diminished ovarian reserve (DOR) patients between the four groups were analyzed using Kendall's Tau-B coefficients. The results showed the median anti-Müllerian hormone (AMH) levels were 4.04, 3.40, 3.14 and 2.55 respectively in the PM0, PM1, PM2 and PM3 groups, respectively (H=15.99, P = 0.001); the median antral follicle counts (AFCs) were 10, 8, 8 and 6, respectively (H=24.53, P < 0.001); and the proportions of DOR patients were 10.8%, 15.2%, 23.9% and 31.4% (χ2 = 13.01, P = 0.005). In addition, AMH level and AFC correlated negatively with the number of PMs (correlation coefficients -0.154, P < 0.001; -0.205, P < 0.001 respectively), the proportion of DOR patients correlated positively with the number of PMs (correlation coefficients 0.156, P = 0.001). After stratification by age, AMH and AFC levels were still significantly lower in the PM3 group than the PM0 group (P < 0.05). The proportion of DOR patients between the PM0 and PM3 groups was statistically significant (P < 0.001). This study showed that AMH levels and AFCs decreased as well as the proportion of DOR patients increased significantly as the number of PMs increased. In conclusion, our study indicates decreased AMH levels and AFCs might be one of the factors contributing to early miscarriage.
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Affiliation(s)
- Jifan Tan
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, China
| | - Lu Luo
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, China
| | - Jiaxin Jiang
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, China
| | - Niwei Yan
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, China
| | - Qiong Wang
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, China
- *Correspondence: Qiong Wang,
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11
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OUP accepted manuscript. Hum Reprod 2022; 37:1856-1870. [DOI: 10.1093/humrep/deac093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 03/17/2022] [Indexed: 11/14/2022] Open
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12
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Li L, Sun B, Wang F, Zhang Y, Sun Y. Which Factors Are Associated With Reproductive Outcomes of DOR Patients in ART Cycles: An Eight-Year Retrospective Study. Front Endocrinol (Lausanne) 2022; 13:796199. [PMID: 35813637 PMCID: PMC9259947 DOI: 10.3389/fendo.2022.796199] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2021] [Accepted: 04/25/2022] [Indexed: 11/22/2022] Open
Abstract
INTRODUCTION Women with diminished ovarian reserve (DOR) have a lower pregnancy rate and higher cancellation rate compared to those without DOR when seeking assisted reproductive technology. However, which factors are associated with reproductive outcomes and whether AMH is a predictor of clinical pregnancy remain unclear. OBJECTIVE This retrospective study was designed to find factors associated with reproductive outcomes in DOR patients and then discuss the role of AMH in predicting cycle results among this population. METHOD A total of 900 women were included in the study. They were diagnosed with DOR with the following criteria: (i) FSH > 10 IU/L; (ii)AMH < 1.1 ng/ml; and (iii) AFC <7. They were divided into different groups: firstly, based on whether they were clinically pregnant or not, pregnant group vs. non-pregnant group (comparison 1); secondly, if patients had transferrable embryos (TE) or not, TE vs. no TE group (comparison 2); thirdly, patients undergoing embryo transfer (ET) cycles were divided into pregnant I and non-pregnant I group (comparison 3). The baseline and ovarian stimulation characteristics of these women in their first IVF/ICSI cycles were analyzed. Logistic regression was performed to find factors associated with clinical pregnancy. RESULTS Of the 900 DOR patients, 138 women got pregnant in their first IVF/ICSI cycles while the rest did not. AMH was an independent predictor of TE after adjusting for confounding factors (adjusted OR:11.848, 95% CI: 6.21-22.62, P< 0.001). Further ROC (receiver operating characteristic) analysis was performed and the corresponding AUC (the area under the curve) was 0.679 (95% CI: 0.639-0.72, P< 0.001). Notably, an AMH level of 0.355 had a sensitivity of 62.6% and specificity of 65.6%. However, there was no statistical difference in AMH level in comparison 3, and multivariate logistic regression showed female age was associated with clinical pregnancy in ET cycles and women who were under 35 years old were more likely to be pregnant compared to those older than 40 years old (adjusted OR:4.755, 95% CI: 2.81-8.04, P< 0.001). CONCLUSION AMH is highly related to oocyte collection rate and TE rate,and 0.355 ng/ml was a cutoff value for the prediction of TE. For DOR patients who had an embryo transferred, AMH is not associated with clinical pregnancy while female age is an independent risk factor for it.
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Affiliation(s)
- Lu Li
- Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Key Laboratory of Reproduction and Genetics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Provincial Obstetrical and Gynecological Diseases (Reproductive Medicine) Clinical Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Engineering Laboratory of Preimplantation Genetic Diagnosis and Screening, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Bo Sun
- Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Key Laboratory of Reproduction and Genetics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Provincial Obstetrical and Gynecological Diseases (Reproductive Medicine) Clinical Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Engineering Laboratory of Preimplantation Genetic Diagnosis and Screening, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Fang Wang
- Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Key Laboratory of Reproduction and Genetics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Provincial Obstetrical and Gynecological Diseases (Reproductive Medicine) Clinical Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Engineering Laboratory of Preimplantation Genetic Diagnosis and Screening, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yile Zhang
- Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Key Laboratory of Reproduction and Genetics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Provincial Obstetrical and Gynecological Diseases (Reproductive Medicine) Clinical Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Engineering Laboratory of Preimplantation Genetic Diagnosis and Screening, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yingpu Sun
- Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Key Laboratory of Reproduction and Genetics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Provincial Obstetrical and Gynecological Diseases (Reproductive Medicine) Clinical Research Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Engineering Laboratory of Preimplantation Genetic Diagnosis and Screening, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- *Correspondence: Yingpu Sun,
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Idiopathic early ovarian aging: is there a relation with premenopausal accelerated biological aging in young women with diminished response to ART? J Assist Reprod Genet 2021; 38:3027-3038. [PMID: 34599460 DOI: 10.1007/s10815-021-02326-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 09/20/2021] [Indexed: 12/15/2022] Open
Abstract
PURPOSE To evaluate whether young women with idiopathic early ovarian aging, as defined by producing fewer oocytes than expected for a given age over multiple in vitro fertilization (IVF) cycles, have changes in telomere length and epigenetic age indicating accelerated biological aging (i.e., increased risk of morbidity and mortality). METHODS A prospective cohort study was conducted at two Danish public fertility clinics. A total of 55 young women (≤ 37 years) with at least two IVF cycles with ≤ 5 harvested oocytes despite sufficient stimulation with follicle-stimulating hormone (FSH) were included in the early ovarian aging group. As controls, 52 young women (≤ 37 years) with normal ovarian function, defined by at least eight harvested oocytes, were included. Relative telomere length (rTL) and epigenetic age acceleration (AgeAccel) were measured in white blood cells as markers of premenopausal accelerated biological aging. RESULTS rTL was comparable with a mean of 0.46 (± SD 0.12) in the early ovarian aging group and 0.47 (0.14) in the normal ovarian aging group. The AgeAccel of the early ovarian aging group was, insignificantly, 0.5 years older, but this difference disappeared when adjusting for chronological age. Sub-analysis using Anti-Müllerian hormone (AMH) as selection criterion for the two groups did not change the results. CONCLUSION We did not find any indications of accelerated aging in whole blood from young women with idiopathic early ovarian aging. Further investigations in a similar cohort of premenopausal women or other tissues are needed to fully elucidate the potential relationship between premenopausal accelerated biological aging and early ovarian aging.
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Liang C, Zhang X, Qi C, Hu H, Zhang Q, Zhu X, Fu Y. UHPLC-MS-MS analysis of oxylipins metabolomics components of follicular fluid in infertile individuals with diminished ovarian reserve. Reprod Biol Endocrinol 2021; 19:143. [PMID: 34521427 PMCID: PMC8438979 DOI: 10.1186/s12958-021-00825-x] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Accepted: 09/02/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Diminished ovarian reserve (DOR) refers to a decrease in the number and quality of oocytes in the ovary, which results in a lack of sex hormones and a decline of fertility in women. DOR can potentially progress to premature ovarian failure (POF), which has a negative impact on women's quality of life and is a major cause of female infertility. Oxidative stress is a major contributor to fertility decrease in DOR patients, affecting the follicular microenvironment, oocyte maturation, fertilization, and embryo development. Understanding intracellular signal transduction can be achieved by defining specific oxidized lipid components in follicular fluid (FF) of DOR infertile patients. METHODS The oxylipins metabolic signatures in the FF of DOR patients and females with normal ovarian reserve (NOR) enrolled for the in vitro fertilization (IVF) cycle were analyzed using UHPLC-MS-MS technology. Principal component analysis (PCA) and orthogonal projections to latent structure discriminant analysis (OPLS-DA) were used to analyze the derived metabolomic profiles. Pathway enrichment analysis was carried out using the Kyoto Encyclopedia of Genes and Genomes (KEGG) and MetaboAnalyst databases. Furthermore, the Spearman rank correlation coefficient was used to determine the correlation between age, FSH, AMH, AFC, oocytes retrieved, MII oocytes, fertilization, high-quality embryos, and the concentration of differential oxidized lipid metabolites in FF. RESULTS Fifteen oxylipins metabolites were found to be lower in the FF of DOR patients than those in the NOR group, including ±20-HDoHE, ±5-iso PGF2α-VI, 12S-HHTrE, 15-deoxy-Δ12,14-PGJ2, 1a,1b-dihomo PGE2, 1a,1b-dihomo PGF2α, 20-COOH-AA, 20-HETE, 8S,15S-DiHETE, PGA2, PGD2, PGE1, PGF1α, PGF2α, and PGJ2. The pathway enrichment analysis revealed that the 15 differentially oxidized lipid metabolites were closely related to the arachidonic acid metabolic pathway. Correlation analysis revealed that the concentration of 8 different oxidized lipid metabolites in FF was negatively correlated to FSH and positively correlated with AFC. AMH, the number of oocytes retrieved, MII oocytes and fertilization, were all positively correlated with 9 different oxidized lipid metabolites, but only one metabolite was positively correlated with the number of high-quality embryos. CONCLUSIONS Metabolomic analysis of FF revealed that oxylipins metabolism disorders were closely related to ovarian reserve function. Among these oxylipins metabolites, arachidonic acid metabolism undergoes significant changes that may be related to oocyte development, resulting in decreased fertility in DOR patients. TRIAL REGISTRATION ChiCTR, ChiCTR2000038182 , Registered 12 September 2020-Retrospectively registered.
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Affiliation(s)
- Chengcheng Liang
- Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
- Department of Gynecology, Shuguang Hospital affiliated to Shanghai University of Traditional Chinese Medicine, 201203, Shanghai, China
| | - Xiaole Zhang
- Department of Gynecology, Shuguang Hospital affiliated to Shanghai University of Traditional Chinese Medicine, 201203, Shanghai, China
| | - Cong Qi
- Department of Gynecology, Shuguang Hospital affiliated to Shanghai University of Traditional Chinese Medicine, 201203, Shanghai, China
| | - Hui Hu
- Department of Gynecology, Shuguang Hospital affiliated to Shanghai University of Traditional Chinese Medicine, 201203, Shanghai, China
| | - Qinhua Zhang
- Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, 201204, China.
| | - Xiuxian Zhu
- Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, 201204, China
| | - Yonglun Fu
- Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, 201204, China
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Busnelli A, Somigliana E, Cirillo F, Levi-Setti PE. Is diminished ovarian reserve a risk factor for miscarriage? Results of a systematic review and meta-analysis. Hum Reprod Update 2021; 27:973-988. [PMID: 34254138 DOI: 10.1093/humupd/dmab018] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Revised: 05/01/2021] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Anti-Müllerian hormone (AMH) serum concentration and antral follicle count (AFC), as measured by transvaginal ultrasonography, accurately reflect the antral follicle pool. However, AMH and AFC association with fertility surrogates (i.e. age at menopause, probability of conceiving naturally and ART success rate) is questioned. Miscarriage is often considered an alternative measure of reproductive capacity. Nonetheless, the impact of diminished ovarian reserve (DOR) on miscarriage incidence remains an understudied and unresolved issue. OBJECTIVE AND RATIONALE The aim of this systematic review and meta-analysis was to elucidate associations between DOR and miscarriage risk, both in women who conceived naturally and in those who achieved pregnancy through ART. SEARCH METHODS Relevant studies were identified by a systematic search in PubMed, MEDLINE, Embase and Scopus, from database inception to 1 March 2021. Studies were included only if all the following conditions were met: DOR was defined using serum AMH concentration or AFC; miscarriage rate was reported separately for different groups of women categorized according to the AMH and/or AFC level; authors reported either the rate of intrauterine pregnancy loss before 22 weeks of gestation or enough data were available to calculate it. OUTCOMES From a total of 347 publications initially identified, 16 studies were included. Pooled results from 13 retrospective studies focusing on ART pregnancies showed a significantly higher rate of miscarriage in women with a low AMH, as compared to women with a medium or high serum AMH concentration (12 042 women, random effects model, odds ratio (OR) 1.35; 95% CI, 1.10-1.66; P = 0.004; I2=50%). The only prospective study on ART pregnancies failed to show any association (61 women, risk ratio (RR) 2.95; 95% CI, 0.66-3.18; P = 0.16). Data from two prospective studies, which included naturally conceived pregnancies, showed a significantly increased miscarriage risk for women with low serum AMH. However, these data could not undergo meta-analysis owing to differing study designs. Using three retrospective studies, we observed an association between low AFC and miscarriage incidence (three retrospective studies on ART pregnancies, random effects model, OR 1.81; 95% CI, 1.02-3.21; P = 0.04; I2=64%). WIDER IMPLICATIONS Our meta-analysis findings suggest that within the DOR patient subgroup, serum AMH and AFC biomarker levels may correlate with both the quantitative and qualitative aspects of ovarian reserve. However, owing to study limitations, the aetiology of this effect remains unclear and we are unable to define a causal relationship between DOR and increased miscarriage or to provide clinical recommendations based on this information. However, if confirmed by future well-designed studies, these findings would be profoundly informative for guiding women in family planning decisions.
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Affiliation(s)
- Andrea Busnelli
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.,Division of Gynecology and Reproductive Medicine, Department of Gynecology, Fertility Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Edgardo Somigliana
- Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy.,Department of Obstetrics and Gynecology, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Federico Cirillo
- Division of Gynecology and Reproductive Medicine, Department of Gynecology, Fertility Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Paolo Emanuele Levi-Setti
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.,Division of Gynecology and Reproductive Medicine, Department of Gynecology, Fertility Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
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Yao LN, Lin WQ, Jiang N, Li C, Cao HF, Li H, Qian JH. Comparative study of assisted reproductive outcomes between young patients with occult premature ovarian insufficiency and advanced-age patients. J Int Med Res 2021; 48:300060520934656. [PMID: 32586157 PMCID: PMC7323297 DOI: 10.1177/0300060520934656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Objective The purpose of this study was to compare the pregnancy outcomes among young patients with occult premature ovarian insufficiency (OPOI), advanced-age patients with diminished ovarian reserve (DOR), and advanced-age patients with normal ovarian reserve. Methods We retrospectively reviewed 324 women who underwent their first cycles of in vitro fertilization/intracytoplasmic sperm injection. The women were divided into the following groups: young women with OPOI, advanced-age women with DOR, and advanced-age women with normal ovarian reserve. The outcomes were compared among the different groups: Results The rates of live birth and embryo implantation in the young OPOI group were significantly higher than in the advanced-age DOR group, but comparable to those in the advanced-age normal ovarian reserve group. Moreover, the abortion rate was significantly lower in young OPOI patients compared with advanced-age patients with or without DOR. Conclusion Higher embryo implantation and live birth rates and a lower abortion rate can be achieved in young patients with OPOI compared with older patients. The better outcomes in advanced-age patients with normal ovarian reserve compared with DOR may be related to egg quantity rather than quality.
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Affiliation(s)
- Ling-Nv Yao
- Reproductive Medical Center, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Wen-Qin Lin
- Reproductive Medical Center, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Nan Jiang
- Reproductive Medical Center, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Chuyan Li
- Reproductive Medical Center, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Hai-Feng Cao
- Reproductive Medical Center, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Hong Li
- Surgical Department, First Affiliated Hospital, Medical College, Zhejiang University, Hangzhou, China
| | - Jian-Hua Qian
- Department of Gynecology, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
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17
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Forecasting early onset diminished ovarian reserve for young reproductive age women. J Assist Reprod Genet 2021; 38:1853-1860. [PMID: 33786734 DOI: 10.1007/s10815-021-02155-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Accepted: 03/14/2021] [Indexed: 10/21/2022] Open
Abstract
PURPOSE To investigate the biological networks associated with DOR in young women and the subsequent molecular impact on preimplantation embryos. METHODS Whole peripheral blood was collected from patients: young women presenting with diminished ovarian reserve (DOR) and age-matched young women with normal ovarian reserve. Maternal exome sequencing was performed on the NovaSEQ 6000 and sequencing validation was completed using Taqman® SNP Genotyping Assays. Blastocyst global methylome and transcriptome sequencing were also analyzed. RESULTS Exome sequencing revealed 730 significant DNA variants observed exclusively in the young DOR patients. Bioinformatic analysis revealed a significant impact to the Glucocorticoid receptor (GR) signaling pathway and each young DOR female had an average of 6.2 deleterious DNA variants within this pathway. Additional stratification based on patient age resulted in a cut-off at 31 years for young DOR discrimination. Embryonic global methylome sequencing resulted in only a very small number of total CpG sites with methylation alterations (1,775; 0.015% of total) in the DOR group. Additionally, there was no co-localization between these limited number of altered CpG sites and significant variants, genes, or pathways. RNA sequencing also resulted in no biologically significant transcription changes between DOR blastocysts and controls. CONCLUSION GR signaling DNA variants were observed in women with early-onset DOR potentially compromising oocyte production and quality. However, no significant downstream effects on biological processes appear to impact the resulting blastocyst. The ability to forecast premature DOR for young women may allow for earlier identification and clinical intervention for this patient population.
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Zhang W, Zhang L, Liu Y, Li J, Xu X, Niu W, Xu J, Sun B, Guo Y. Higher chromosomal aberration frequency in products of conception from women older than 32 years old with diminished ovarian reserve undergoing IVF/ICSI. Aging (Albany NY) 2021; 13:10128-10140. [PMID: 33819190 PMCID: PMC8064218 DOI: 10.18632/aging.202772] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Accepted: 03/02/2021] [Indexed: 12/22/2022]
Abstract
Infertile women with diminished ovarian reserve (DOR) confront an increased miscarriage rate in assisted reproductive technology (ART). Genetic abnormality is the most important factor. However, the effects of DOR and female age on the molecular karyotype of products of conception (POCs) remain unknown. We analyzed POCs using a single nucleotide polymorphism (SNP) microarray from women with DOR who experienced first-trimester miscarriage in IVF/ICSI cycles. The SNP microarray revealed chromosomal abnormalities in 74.6% (47/63) of POCs, including trisomy in 83.0% (39/47). Chromosomal aberrations were more frequent in women older than 32 years old with DOR than in young women aged 20-32 years old (86.7% vs. 44.4%, P = 0.001). Univariate and multivariable analyses identified advanced age as a risk factor for chromosomal aberration-related miscarriage in women with DOR, with odds ratios of 8.125 (95% CI: 2.291-28.820, P = 0.001) and 5.867 (95% CI: 1.395-24.673, P = 0.016), respectively. The results showed that older women (older than 32 years old) with DOR had a high risk of miscarrying a chromosomally aberrant embryo/fetus, regardless of basal follicle-stimulating hormone (FSH), anti-Mullerian hormone (AMH), antral follicle count (AFC) and previous reproductive history. This finding indicates a novel cut-off value of age for women with DOR related to chromosomal aberration-related miscarriage.
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Affiliation(s)
- Wanyu Zhang
- Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China.,Henan Province Key Laboratory of Reproduction and Genetics, Henan, China
| | - Linghan Zhang
- Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China.,Henan Province Key Laboratory of Reproduction and Genetics, Henan, China
| | - Yu Liu
- Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China.,Henan Province Key Laboratory of Reproduction and Genetics, Henan, China
| | - Jing Li
- Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China.,Henan Province Key Laboratory of Reproduction and Genetics, Henan, China
| | - Xiaolu Xu
- Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China.,Henan Province Key Laboratory of Reproduction and Genetics, Henan, China
| | - Wenbin Niu
- Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China.,Henan Province Key Laboratory of Reproduction and Genetics, Henan, China.,Department of Preimplantation Genetic Diagnosis, Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jiawei Xu
- Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China.,Henan Province Key Laboratory of Reproduction and Genetics, Henan, China.,Department of Preimplantation Genetic Diagnosis, Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Bo Sun
- Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China.,Henan Province Key Laboratory of Reproduction and Genetics, Henan, China
| | - Yihong Guo
- Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China.,Henan Province Key Laboratory of Reproduction and Genetics, Henan, China
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Scheffer JB, Carvalho RFD, Aguiar APDS, Machado IJM, Franca JB, Lozano DM, Fanchin R. Which ovarian reserve marker relates to embryo quality on day 3 and blastocyst; age, AFC, AMH? JBRA Assist Reprod 2021; 25:109-114. [PMID: 32960526 PMCID: PMC7863095 DOI: 10.5935/1518-0557.20200060] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
Objective: The aim of the present prospective study was to evaluate which ovarian reserve marker would be more reliable as the quality of the A + B embryos (day 3 and blastocyst). Methods: We ran a prospective study with 124 infertile women, aged 24-48 years, from 2017 to 2018. The patients were divided into 3 groups according to age and the subgroups were compared for AMH, AFC, number of A+B embryos. New division of the 3 groups was performed based on the AMH, and the subgroups were compared for age, AFC and number of A+B embryos. Finally, we divided the patients into 3 groups, based on the AFC, and we compared the subgroups for age, AMH and number of A+B embryos. P<0.05 was considered statistically significant. Results: When the 124 patients were divided according to age, we found a significant fall in an A+B embryo quality (day3; blastocyst) after 35 years (p<0.038; p<0.035), and more severely after 37 years (p<0.032; p<0.027). When the 124 patients were divided according to AMH, there was a significant fall in A+B embryo quality (day 3; blastocyst), with AMH<1ng/ml (p<0.023; p<0.021). When the 124 patients were divided according to AFC, there was a significant fall in A+B embryo quality (day 3; blastocyst) with AFC<7 (p<0.025; p<0.023). These markers had significant associations with embryo quality (p<0.005). Conclusion: Age, AFC and AMH have significant associations with A +B embryo quality on day 3 and blastocyst.
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Affiliation(s)
| | | | | | | | | | - Daniel Mendez Lozano
- School of Medicine, Tecnologico de Monterrey and Center for Reproductive Medicine CREASIS, San Pedro Monterrey, Mexico
| | - Renato Fanchin
- Professeur des Universites - Praticien Hospitalier en Medecine de la Reproduction, France; Hopital Foch, France
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Cornille AS, Sapet C, Reignier A, Leperlier F, Barrière P, Caillet P, Fréour T, Lefebvre T. Is low anti-Mullerian hormone (AMH) level a risk factor of miscarriage in women <37 years old undergoing in vitro fertilization (IVF)? HUM FERTIL 2021; 25:600-606. [DOI: 10.1080/14647273.2021.1873431] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Affiliation(s)
- Anne-Sophie Cornille
- Service de Médecine et Biologie de la Reproduction, Hôpital Mère et Enfant, CHU de Nantes, Nantes, France
| | - Clémence Sapet
- Service de Médecine et Biologie de la Reproduction, Hôpital Mère et Enfant, CHU de Nantes, Nantes, France
| | - Arnaud Reignier
- Service de Médecine et Biologie de la Reproduction, Hôpital Mère et Enfant, CHU de Nantes, Nantes, France
- Faculté de Médecine, Nantes, France
- Centre de Recherche en Transplantation et Immunologie (ou CRTI), Inserm, Université de Nantes, Nantes, France
| | - Florence Leperlier
- Service de Médecine et Biologie de la Reproduction, Hôpital Mère et Enfant, CHU de Nantes, Nantes, France
| | - Paul Barrière
- Service de Médecine et Biologie de la Reproduction, Hôpital Mère et Enfant, CHU de Nantes, Nantes, France
- Faculté de Médecine, Nantes, France
| | - Pascal Caillet
- Service de Santé Publique, CHU de Nantes, Nantes, France
| | - Thomas Fréour
- Service de Médecine et Biologie de la Reproduction, Hôpital Mère et Enfant, CHU de Nantes, Nantes, France
- Faculté de Médecine, Nantes, France
- Centre de Recherche en Transplantation et Immunologie (ou CRTI), Inserm, Université de Nantes, Nantes, France
| | - Tiphaine Lefebvre
- Service de Médecine et Biologie de la Reproduction, Hôpital Mère et Enfant, CHU de Nantes, Nantes, France
- Faculté de Médecine, Nantes, France
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Lin HT, Wu MH, Tsai LC, Chen TS, Ou HT. Co-Administration of Clomiphene Citrate and Letrozole in Mild Ovarian Stimulation Versus Conventional Controlled Ovarian Stimulation Among POSEIDON Group 4 Patients. Front Endocrinol (Lausanne) 2021; 12:780392. [PMID: 35095758 PMCID: PMC8796317 DOI: 10.3389/fendo.2021.780392] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Accepted: 12/13/2021] [Indexed: 12/02/2022] Open
Abstract
This retrospective study assessed the effect of the co-administration of clomiphene citrate (CC) and letrozole in mild ovarian stimulation, compared to conventional regimens, among Patient-Oriented Strategies Encompassing Individualized Oocyte Number (POSEIDON) Group 4 patients. There were 114 POSEIDON Group 4 patients undergoing in vitro fertilization treatments with 216 stimulation cycles recruited from a Taiwan's reproductive center during 2016-2020. Main outcomes were the numbers, quality of retrieved oocytes and embryo development. Pregnancy outcomes were assessed after embryo transfers. Per stimulation cycle, patients receiving mild stimulation with a combination of CC and letrozole (study group) versus those with COS (control group) had lower numbers of pre-ovulatory follicles (2.00 ± 1.23 vs. 2.37 ± 1.23, p=0.0066) and oocytes retrieved (1.83 ± 1.17 vs. 2.37 ± 1.23, p=0.0017), and lower follicular output rate (58.6% vs. 68.38%, p=0.0093) and mature oocyte output rate (44.29% vs. 52.88%, p=0.0386) but a higher top-quality metaphase II oocyte ratio (66.7% vs. 54.59%, p=0.0444) and a similar fertilization rate (91.67% vs. 89.04%, p=0.4660). With adjustment for significant between-group baseline differences using multivariable logistic generalized estimating equation model analyses, there was no statistical difference in oocytes retrieved and embryo development between the study and control groups, and insignificant increases in successful pregnancies in the study group were found compared to the control group (i.e., odds ratios [95% CIs]: 1.13 [0.55, 232] and 1.50 [0.65, 3.49] for ongoing pregnancy and live birth, respectively). For POSEIDON Group 4 patients, cotreatment of CC and letrozole in mild stimulation may increase the high-quality oocyte ratio and yield comparable fertilization rate and pregnancy outcomes.
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Affiliation(s)
- Hsin-Ta Lin
- Department of Obstetrics and Gynecology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Meng-Hsing Wu
- Department of Obstetrics and Gynecology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- Department of Obstetrics and Gynecology, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Li-Chung Tsai
- Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Ta-Sheng Chen
- Department of Obstetrics and Gynecology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Huang-Tz Ou
- Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- School of Pharmacy, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- *Correspondence: Huang-Tz Ou,
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Li F, Ye T, Kong H, Li J, Hu L, Jin H, Guo Y, Li G. Predictive Factors for Live Birth in Fresh In Vitro Fertilization/Intracytoplasmic Sperm Injection Treatment in Poor Ovarian Reserve Patients Classified by the POSEIDON Criteria. Front Endocrinol (Lausanne) 2021; 12:630832. [PMID: 33967954 PMCID: PMC8099421 DOI: 10.3389/fendo.2021.630832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Accepted: 03/19/2021] [Indexed: 11/13/2022] Open
Abstract
The mechanisms underlying poor ovarian response (POR) in assisted reproductive technology remain unclear, there is no consensus on the management of poor responders, the POSEIDON stratification classifies infertility patients into "expected" or "unexpected" groups to provide a more nuanced picture of POR, but few researchers have discussed the independent predictive factors (smoothed plots and the threshold effect) for live birth in POR patients classified by the new criteria. We conducted a retrospective cohort study using clinical data from 6,580 POR patients classified by the POSEIDON criteria in the First Affiliated Hospital of Zhengzhou University, and explored the live birth based on the results before and after the threshold inflection point of each independent influencing factor. Among 6,580 poor ovarian reserve patients classified by the POSEIDON criteria, 1,549 (23.54%) had live births, and 5,031 (76.46%) did not have live births. Multivariate logistic regression analysis showed that female age (OR 0.901; 95% CI 0.887~0.916; P < 0.001), body mass index (OR 0.963; 95% CI 0.951~0.982; P < 0.001), antral follicle counting (OR 1.049; 95% CI 1.009~1.042; P < 0.001) and controlled ovarian hyperstimulation protocol were independent factors predicting live birth in patients with POR. The threshold effect analysis found that the inflection point of female age was 34 years old, and when age was > 34 years old, the probability of live birth in POR patients dropped sharply (OR 0.7; 95% CI 0.7~0.8; P < 0.001). The inflection point of BMI was 23.4 kg/m2, and BMI had a negative correlation with live birth (OR 0.963; 95% CI 0.951~0.982; P < 0.001). The threshold inflection point of AFC was 8n. Female age, BMI, AFC and COH protocol were independent predictive factors associated with live birth in POR patients classified by the POSEIDON criteria. The smooth curve fit and threshold effect analyses provide clinical management strategies for these patients. In addition, the early-follicular-phase long-acting GnRH-agonist long protocol seems to have a higher live birth rates than other protocols. It is worth highlighting that BMI should be considered as well in the POSEIDON criteria.
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Affiliation(s)
- Fei Li
- Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Center for Reproductive Medicine, The First People’s Hospital of Shangqiu, Shangqiu, China
| | - Tian Ye
- Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Huijuan Kong
- Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jing Li
- Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Linli Hu
- Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - HaiXia Jin
- Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - YiHong Guo
- Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Gang Li
- Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- *Correspondence: Gang Li,
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Abstract
PURPOSE OF REVIEW Diminished ovarian reserve, in general, implies a quantitative decline in the oocyte pool. However, whether this quantitative decline is necessarily accompanied by a qualitative decline, remains to be determined. RECENT FINDINGS Studies of natural conception suggest that fecundity of women with a quantitative decline in ovarian reserve is similar to age-matched women with normal ovarian reserve. Data on rates of pregnancy loss and fetal chromosomal abnormality do not consistently suggest a decline in oocyte quality in women who has a lower ovarian reserve. In assisted reproductive technology (ART) cycles, oocytes from women with diminished ovarian reserve have similar potential for euploid blastocyst development. Likewise, available evidence does not strongly suggest an increased risk of pregnancy loss in women with diminished reserve undergoing ART treatment as compared with similarly aged woman with normal ovarian reserve. SUMMARY Quantitative decline in ovarian reserve may not be necessarily accompanied by a qualitative decline. Although a decreased number of follicles and poor response to ovarian stimulation are hallmarks of ovarian aging, younger women with diminished ovarian reserve may not be experiencing the distinct effects of aging on oocyte quality.
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Chen T, Zhao F, Wang Q, Liu C, Lan Y, Wang S, Xin Z, Yang X. Salpingectomy may decrease antral follicle count but not live birth rate for IVF-ET patients aged 35-39 years: a retrospective study. J Ovarian Res 2020; 13:80. [PMID: 32684158 PMCID: PMC7370502 DOI: 10.1186/s13048-020-00678-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Accepted: 06/29/2020] [Indexed: 01/26/2023] Open
Abstract
Purpose Problems with fallopian tubes are one of the main reasons for women to undergo in vitro fertilization-embryo transfer (IVF-ET). A large proportion of women with ectopic pregnancy, fallopian tube obstruction and hydrosalpinx have had one or both fallopian tubes removed by salpingectomy. With increasing age, ovarian reserve deteriorates, the numbers of retrieved oocytes, available embryos and high-quality embryos are reduced, and the live birth rate for women treated with IVF treatment is affected. Thus, it is important to understand how salpingectomy affects live birth rates for IVF patients of different ages. This study analyzed how patients’ age and salpingectomy influenced ovarian reserve, ovarian response and pregnancy outcomes for infertile women undergoing IVF-ET. Methods A total of 1922 patients that underwent IVF-ET treatment from January 1, 2012, to December 31, 2018, were included in this retrospective study. The patients were divided into two groups according to whether or not they had a previous history of salpingectomy. The salpingectomy (group A, 534 patients) and control groups (group B, 1388 patients) were then further divided into two subgroups according to patient age (age<35 years, and age 35–39 years). Ovarian reserve, ovarian response, and IVF outcomes were investigated for each subgroup. Logistic regression model was used to estimate the relationship between clinical pregnancy and live births and patients’ baseline characteristics. Results In the salpingectomy group, antral follicle counts (AFC) were significantly lower for the subgroup aged 35 to 39 years compared with the control group. But this difference did not appear in women younger than 35 years. In addition, there were no significant differences in levels of basal follicle stimulation hormone (FSH), basal luteinizing hormone (LH), basal estradiol (E2), total gonadotropins (Gn) dose, duration of Gn, numbers of retrieved oocytes, fertilization rates, numbers of available embryos, live birth rates, clinical pregnancy rates, miscarriage rates, ectopic pregnancy rates, or multiple pregnancy rates between the salpingectomy group and the control group (P > 0.05). Age is a risk factor for the clinical pregnancy and live birth. Conclusion Salpingectomy may decrease antral follicle count but not live birth rate for IVF-ET patients aged 35–39 years. The increased female age was negative related with clinical pregnancy and live birth.
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Affiliation(s)
- Tong Chen
- Department of Human Reproductive Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, 251 Yao jia yuan Road, Chaoyang District, Beijing, 100026, China
| | - Feiyan Zhao
- Department of Human Reproductive Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, 251 Yao jia yuan Road, Chaoyang District, Beijing, 100026, China
| | - Qin Wang
- Department of Human Reproductive Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, 251 Yao jia yuan Road, Chaoyang District, Beijing, 100026, China
| | - Chang Liu
- Department of Human Reproductive Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, 251 Yao jia yuan Road, Chaoyang District, Beijing, 100026, China
| | - Yonglian Lan
- Department of Human Reproductive Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, 251 Yao jia yuan Road, Chaoyang District, Beijing, 100026, China
| | - Shuyu Wang
- Department of Human Reproductive Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, 251 Yao jia yuan Road, Chaoyang District, Beijing, 100026, China
| | - Zhimin Xin
- Department of Human Reproductive Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, 251 Yao jia yuan Road, Chaoyang District, Beijing, 100026, China.
| | - Xiaokui Yang
- Department of Human Reproductive Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, 251 Yao jia yuan Road, Chaoyang District, Beijing, 100026, China.
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Liu L, Zhou C. Anti-Müllerian hormone and antral follicle count differ in their ability to predict cumulative treatment outcomes of the first complete ovarian stimulation cycle in patients from POSEIDON groups 3 and 4. J Obstet Gynaecol Res 2020; 46:1801-1808. [PMID: 32686313 DOI: 10.1111/jog.14269] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Revised: 03/13/2020] [Accepted: 04/09/2020] [Indexed: 10/23/2022]
Abstract
AIM To explore the ability of anti-Müllerian hormone and antral follicle count to predict cumulative live birth and clinical pregnancy in the first complete ovarian stimulation cycle among patients from POSEIDON (Patient-Oriented Strategies Encompassing IndividualizeD Oocyte Number) groups 3-4. METHODS A single-center retrospective study was conducted on 260 patients in POSEIDON groups 3-4 (antral follicle count <5 and/or anti-Müllerian hormone <1.2 ng/mL) who first underwent complete in vitro fertilization/intracytoplasmic sperm injection cycles between January 2016 and June 2018. The main outcomes were cumulative live birth rate and cumulative clinical pregnancy rate. RESULTS Of 260 patients, 113 (43.5%) achieved clinical pregnancy and 82 (31.5%) achieved live birth in their first complete ovarian stimulation cycles. With multivariate regression analysis, age and antral follicle count were significantly correlated with cumulative clinical pregnancy, whereas age and anti-Müllerian hormone were significantly associated with cumulative live birth. Receiver operating characteristic curve analysis demonstrated that age had the highest accuracy for the prediction of cumulative treatment outcomes. The optimal cut-off value of age was 40.5 and that of antral follicle count was 2.5 for predicting cumulative clinical pregnancy. The optimal cut-off value of age was 36.5 and that of anti-Müllerian hormone was 0.725 for predicting cumulative live birth. CONCLUSION Our findings indicate that anti-Müllerian hormone is a better predictor of cumulative live birth than antral follicle count, independent of age, in the first complete ovarian stimulation cycle of in vitro fertilization/intracytoplasmic sperm injection among patients in POSEIDON groups 3-4.
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Affiliation(s)
- Luxin Liu
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Reproductive Medicine, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Canquan Zhou
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Reproductive Medicine, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
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Hu S, Xu B, Jin L. Perinatal outcome in young patients with diminished ovarian reserve undergoing assisted reproductive technology. Fertil Steril 2020; 114:118-124.e1. [PMID: 32622406 DOI: 10.1016/j.fertnstert.2020.02.112] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Revised: 02/18/2020] [Accepted: 02/28/2020] [Indexed: 12/14/2022]
Abstract
OBJECTIVE To investigate the risk of abnormal perinatal outcomes in young patients with diminished ovarian reserve (DOR). DESIGN A retrospective cohort study. SETTING Reproductive medicine center in a hospital. PATIENTS A total of 5,649 young patients (≤35 years) undergoing assisted reproductive technology for fresh-cycle ET between January 1, 2016, and January 31, 2019, were included. The patients were divided into two groups: the non-DOR group (n = 5,295) and the DOR group (n = 354). INTERVENTION(S) None. MAIN OUTCOME MEASURE(S) Singleton live births were assessed for obstetrical complications and adverse birth outcomes. RESULT(S) There were significantly lower rates of clinical pregnancy, live birth, and singleton live birth among young patients with DOR, without an increase in the rates of clinical pregnancy loss, biochemical pregnancy, and multiple live births compared with young patients without DOR. For young patients with singleton live births, there were no significant differences in the incidence of gestational hypertension, gestational diabetes mellitus, placenta previa, fetal malformation, macrosomia, low birth weight, or preterm birth between the two groups after adjusting with a multiple logistic regression model. CONCLUSION(S) We found that young patients with DOR still had acceptable pregnancy outcomes and similar risks of biochemical pregnancy, pregnancy loss, multiple live births, and abnormal perinatal outcomes compared with young patients with normal ovarian reserve.
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Affiliation(s)
- Shiqiao Hu
- Reproductive Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China
| | - Bei Xu
- Reproductive Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China
| | - Lei Jin
- Reproductive Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China.
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Shi XY, Guan ZQ, Yu JN, Liu HL. Follicle Stimulating Hormone Inhibits the Expression of p53 Up-Regulated Modulator of Apoptosis Induced by Reactive Oxygen Species Through PI3K/Akt in Mouse Granulosa Cells. Physiol Res 2020; 69:687-694. [PMID: 32584135 DOI: 10.33549/physiolres.934421] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
In mammalian ovaries, follicular atresia occurs periodically and destroys almost all the follicles in the ovary. Follicle-stimulating hormone (FSH) acts as the primary survival factor during follicular atresia by preventing apoptosis in granulosa cells (GCs). Many studies have demonstrated that oxidative stress-induced apoptosis is a main cause of follicular atresia. Reactive oxygen species (ROS)-induced GCs apoptosis is regulated by a variety of signaling pathways involving numerous genes and transcription factors. Therefore, we examined whether FSH inhibits the expression of p53 up-regulated modulator of apoptosis (PUMA) induced by reactive oxygen species (ROS) through phosphoinositide 3-kinase (PI3K) / protein kinase B (AKT) in mouse GCs. In vivo study: thirty-two-mice were randomly assigned to four groups and given FSH. We found that FSH can inhibit the 3-nitropropionic acid (3-NP) induced apoptosis and PUMA expression in mRNA level. Moreover, In vitro experiment, we found that FSH can inhibit the H(2)O(2)-induced apoptosis and PUMA expression in mRNA level. Additionally, we also found that PI3K/AKT inhibitor LY294002 abolished the downregulation of PUMA mRNA by FSH in vitro, In conclusion, FSH inhibit the expression of PUMA induced by ROS through PI3K/AKT pathway in vivo and vitro.
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Affiliation(s)
- X Y Shi
- College of Animal Science and Technology, Nanjing Agricultural University, Weigang, Nanjing, China.
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Ovarian Reserve Testing: A Review of the Options, Their Applications, and Their Limitations. Clin Obstet Gynecol 2020; 62:228-237. [PMID: 30998601 DOI: 10.1097/grf.0000000000000445] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Ovarian reserve refers to the number of oocytes remaining in a woman's ovaries that have the potential to yield a pregnancy. This is a concept based on the fact that the number of oocytes within a woman's ovaries and her ability to achieve pregnancy decline over time. There are 2 overlapping but distinct interpretations and utilizations of ovarian reserve testing (ORT)-biological and clinical. Given the increasing incorporation of ORT into clinical practice, care must be taken to ensure that patients and providers understand the limitations affecting ORT interpretation. Here, we will review commonly used tests of ovarian reserve and offer guidance on interpretation (biology) and application (clinical practice) of results.
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Li A, Zhang J, Kuang Y, Yu C. Analysis of IVF/ICSI-FET Outcomes in Women With Advanced Endometriosis: Influence on Ovarian Response and Oocyte Competence. Front Endocrinol (Lausanne) 2020; 11:427. [PMID: 32765424 PMCID: PMC7380107 DOI: 10.3389/fendo.2020.00427] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Accepted: 05/29/2020] [Indexed: 01/29/2023] Open
Abstract
Aims: To determine the impact of advanced endometriosis (EMS) on in vitro fertilization/intracytoplasmic sperm injection and frozen-thawed embryo transfer (IVF/ICSI-FET) outcomes and analyze the influencing factors. Methods: A retrospective study was conducted on sterile women with ovarian endometriomas (OMAs), including patients who underwent laparoscopic cystectomy (n = 224, 224 IVF/ICSI cycles, 205 FET cycles) and aspiration (n = 139, 139 IVF/ICSI cycles, 148 FET cycles); peritoneal EMS (n = 96, 96 IVF/ICSI cycles, 89 FET cycles); and tubal factors (n = 360, 360 IVF/ICSI cycles, 474 FET cycles). Our main outcomes included the number of MII oocytes retrieved, fertilization rate, the number of viable embryos, viable embryo rate per oocyte retrieved in oocyte retrieval cycles, and clinical pregnancy rate per transfer, live birth rate per transfer, and cumulative clinical pregnancy rate of this oocyte retrieval cycle in FET cycles. Finally, binary logistic regression analysis was performed to generate a prediction model for cumulative clinical pregnancy. Results: The results showed that significantly fewer MII oocytes retrieved and viable embryos and lower viable embryo rate and cumulative clinical pregnancy rate were observed in women with EMS compared with the control. Women with peritoneal EMS had lower fertilization rate and viable embryo rate per oocyte retrieved than patients with OMA (all p < 0.05). However, the pregnancy outcomes were not significantly different between the two phenotypes. The patients who underwent laparoscopic cystectomy had fewer MII oocytes retrieved and viable embryos compared with those with intact endometrioma(s) but no significant difference in pregnancy outcomes between the two types of OMA patients. By binary logistic regression analysis, antral follicle count (AFC) was found to be an independent factor associated with cumulative clinical pregnancy in this oocyte retrieval cycle (odds ratio = 1.054; 95% confidence interval, 1.011-1.100; p = 0.014), and the AFC prediction model of cumulative clinical pregnancy was established, with an area under the curve of 0.60. Conclusions: Our data supported that advanced EMS has negative effect on cumulative clinical pregnancy per oocyte retrieval cycle, and AFC is an independent predictor, which is mainly caused by poor ovarian response associated with OMA per se or its surgery and the damage of peritoneal EMS to oocyte maturation.
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Affiliation(s)
- Anji Li
- The First Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, China
| | - Jie Zhang
- Department of Assisted Reproduction, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yanping Kuang
- Department of Assisted Reproduction, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- *Correspondence: Yanping Kuang
| | - Chaoqin Yu
- Department of Gynecology of Traditional Chinese Medicine, Changhai Hospital, Naval Medical University, Shanghai, China
- Chaoqin Yu
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Leclercq E, de Saint Martin L, Bohec C, Le Martelot MT, Roche S, Alavi Z, Mottier D, Pasquier E. Blood anti-Müllerian hormone is a possible determinant of recurrent early miscarriage, yet not conclusive in predicting a further miscarriage. Reprod Biomed Online 2019; 39:304-311. [DOI: 10.1016/j.rbmo.2019.04.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2018] [Revised: 03/27/2019] [Accepted: 04/04/2019] [Indexed: 11/15/2022]
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Cito G, Coccia ME, Bertocci F, Picone R, Cocci A, Fucci R, Basile V, Micelli E, Criscuoli L, Serni S, Carini M, Natali A. Successful pregnancy in double factor infertility: Sperm in vitro culture by modified testicular fine-needle aspiration. Urologia 2019; 86:141-144. [PMID: 30919754 DOI: 10.1177/0391560319840203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
INTRODUCTION Infertility may depend up to 27% of couples on both partners. In patients with obstructive azoospermia, testicular fine-needle aspiration represents a good option to retrieve spermatozoa, in order to perform an assisted reproductive treatment. In vitro maturation of testicular spermatozoa could be the better choice of treatment in view of the increased motility, improving fertilization and pregnancy rates. CASE DESCRIPTION A 34-year-old azoospermic man and his 33-year-old partner referred for treatment of simultaneous male and female infertility factor. The woman presented a diminished ovarian reserve, with serum follicle stimulating hormone value of 27.15 IU/L. The man underwent trans-rectal and testicular ultrasounds that detected the congenital absence of proximal vas deferens on the right side and the absence of seminal vesicle and distal vas deferens on the left side. We proposed a chance to have their own biological child. The man underwent modified testicular fine-needle aspiration using a 18-gauge butterfly needle. Sperm retrieval was successful with 0.001 × 106 spermatozoa/mL and absence of motility. Testicular sperm suspension was cultured for 24 h to identify sperm viability, achieving 10% of sperm motility. Two metaphase II oocytes were retrieved and processed with intracytoplasmic sperm injection. Clinical pregnancy with live birth was obtained. CONCLUSION Performing modified testicular fine-needle aspiration increases successful sperm retrieval. Testicular sperm in vitro culture for 24 h proved to be a real and practical technique to increase sperm motility, in order to select mature and viable spermatozoa and improve successful intracytoplasmic sperm injection outcomes.
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Affiliation(s)
- Gianmartin Cito
- 1 Department of Urology, Careggi Hospital, University of Florence, Florence, Italy
| | - Maria Elisabetta Coccia
- 2 Assisted Reproductive Technology Centre, Careggi Hospital, University of Florence, Florence, Italy
| | - Francesco Bertocci
- 2 Assisted Reproductive Technology Centre, Careggi Hospital, University of Florence, Florence, Italy
| | - Rita Picone
- 2 Assisted Reproductive Technology Centre, Careggi Hospital, University of Florence, Florence, Italy
| | - Andrea Cocci
- 1 Department of Urology, Careggi Hospital, University of Florence, Florence, Italy
| | - Rossella Fucci
- 2 Assisted Reproductive Technology Centre, Careggi Hospital, University of Florence, Florence, Italy
| | - Valentina Basile
- 2 Assisted Reproductive Technology Centre, Careggi Hospital, University of Florence, Florence, Italy
| | - Elisabetta Micelli
- 3 Department of Gynecology and Obstetrics, St. Claire Hospital, University of Pisa, Pisa, Italy
| | - Luciana Criscuoli
- 2 Assisted Reproductive Technology Centre, Careggi Hospital, University of Florence, Florence, Italy
| | - Sergio Serni
- 1 Department of Urology, Careggi Hospital, University of Florence, Florence, Italy
| | - Marco Carini
- 1 Department of Urology, Careggi Hospital, University of Florence, Florence, Italy
| | - Alessandro Natali
- 1 Department of Urology, Careggi Hospital, University of Florence, Florence, Italy
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Complexities and potential pitfalls of clinical study design and data analysis in assisted reproduction. Curr Opin Obstet Gynecol 2019; 30:139-144. [PMID: 29652724 DOI: 10.1097/gco.0000000000000454] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE OF REVIEW The purpose of the current review is to describe the common pitfalls in design and statistical analysis of reproductive medicine studies. It serves to guide both authors and reviewers toward reducing the incidence of spurious statistical results and erroneous conclusions. RECENT FINDINGS The large amount of data gathered in IVF cycles leads to problems with multiplicity, multicollinearity, and over fitting of regression models. Furthermore, the use of the word 'trend' to describe nonsignificant results has increased in recent years. Finally, methods to accurately account for female age in infertility research models are becoming more common and necessary. SUMMARY The pitfalls of study design and analysis reviewed provide a framework for authors and reviewers to approach clinical research in the field of reproductive medicine. By providing a more rigorous approach to study design and analysis, the literature in reproductive medicine will have more reliable conclusions that can stand the test of time.
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Shi W, Zhou H, Tian L, Zhao Z, Zhang W, Shi J. Cumulative Live Birth Rates of Good and Low Prognosis Patients According to POSEIDON Criteria: A Single Center Analysis of 18,455 Treatment Cycles. Front Endocrinol (Lausanne) 2019; 10:409. [PMID: 31293519 PMCID: PMC6606694 DOI: 10.3389/fendo.2019.00409] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Accepted: 06/07/2019] [Indexed: 12/15/2022] Open
Abstract
Objective: To investigate the characteristics and outcomes of low prognosis patients defined by POSEIDON criteria undergoing IVF treatment. Design: Retrospective cohort analysis. Setting: An IVF clinic in a public hospital. Patients: 18,455 fresh aspirated IVF cycles with subsequently frozen embryo transfer from Jan 2014 to Jan 2017 in a single IVF clinic were included in the analysis. The low prognosis patients were categorized into 4 groups based on POSEIDON criteria: group 1: age < 35, antral follicle count (AFC) ≥ 5, number of oocytes retrieved ≤ 9 in the previous cycle; group 2: age ≥ 35, AFC≥5, number of oocytes retrieved ≤ 9 in the previous cycle; group 3: age < 35, AFC < 5; group 4: age ≥ 35, AFC < 5. The non-low prognosis patients: group 5: AFC ≥ 5, previous number of oocytes retrieved > 9 oocytes; group 6: AFC ≥ 5, no previous ovarian stimulation. Intervention(s): None. Main Outcome Measure: The primary outcome was cumulative live birth rate (CLBR). Result(s): Taking group 1 as reference, the CLBR from young women in group 3 (35.5%, OR 0.9, 95% CI 0.7-1.2) was slightly lower than that in group 1 (44.6%, p = 0.615). The CLBR in group 2 (24.5%, OR 0.6, 95% CI 0.4-0.8, p = 0.004) and group 4 (12.7%, OR 0.4, 95% CI 0.3-0.6, p < 0.001) was significant lower than that in group 1. In non-poor prognosis patients, the CLBR from young women in group 5 (53.5% OR 1.3 95% CI 0.9, 1.7, p = 0.111) was a slight higher than the reference group 1 while the highest CLBR was originated from the first IVF patients with good ovarian reserve in group 6 (66.9%, OR 2.0, 95% CI 1.6, 2.4). Conclusion(s): The CLBRs and implantation rates in the young women (group 3) with diminished ovarian reserve was similar in those young women (group 1), and was significantly higher than in advanced age women with a fair ovarian reserve (group 2). Though patients in group 2 had better ovarian reserve, more oocytes and more embryos, the pregnancy outcome was inferior to that of group 3 patients with poorer ovarian reserve, fewer oocytes and fewer embryos.
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Affiliation(s)
- Wenhao Shi
- The Assisted Reproduction Center, Northwest Women's and Children's Hospital, Xi'an, China
| | - Hanying Zhou
- The Assisted Reproduction Center, Northwest Women's and Children's Hospital, Xi'an, China
| | - Li Tian
- The Assisted Reproduction Center, Northwest Women's and Children's Hospital, Xi'an, China
| | - Zhenghao Zhao
- The Assisted Reproduction Center, Northwest Women's and Children's Hospital, Xi'an, China
| | - Wei Zhang
- Department of Respiratory Medicine, Shaanxi Provincial People's Hospital, Xi'an, China
- *Correspondence: Wei Zhang
| | - Juanzi Shi
- The Assisted Reproduction Center, Northwest Women's and Children's Hospital, Xi'an, China
- Juanzi Shi
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Chang Y, Li J, Li X, Liu H, Liang X. Egg Quality and Pregnancy Outcome in Young Infertile Women with Diminished Ovarian Reserve. Med Sci Monit 2018; 24:7279-7284. [PMID: 30310048 PMCID: PMC6195787 DOI: 10.12659/msm.910410] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
Background This study investigated the quality and quantity of eggs and embryos as well as the clinical pregnancy outcome in young infertile women with diminished ovarian reserve (DOR) after in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI). Material/Methods We retrospectively reviewed records of 4285 infertile women and divided them into 3 groups according to age and ovarian reserve: young women with normal ovarian reserve (n=1695), young women with DOR (n=1121), and older women with DOR (n=1469). Results In young women with DOR, the proportion of high-quality embryos was significantly higher than in older women with DOR and lower than in young women with normal ovarian reserve (P<0.01). The proportions of ovulation cancellation, ovulation without egg acquisition, and ovulation without available embryos in young women with DOR were significantly higher than in young women with normal ovarian reserve. The rates of biochemical pregnancy, clinical pregnancy, and embryo implantation in young women with DOR were significantly higher than in older women with DOR, and lower than in young women with normal ovarian reserve. The miscarriage rate was 19.17% in young women with DOR, significantly lower than in older women with DOR (33.90%), and higher than in young women with normal ovarian reserve. Conclusions Young women with DOR have ovarian hypo-response and low numbers of acquired eggs and embryos, but the possibilities of high-quality embryo and good clinical pregnancy are higher once eggs are acquired. The indications to IVF/ICSI can be widened and active treatments should be administered for these women.
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Affiliation(s)
- Yajie Chang
- Reproductive Center, Sixth Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China (mainland)
| | - Jingjie Li
- Reproductive Center, Sixth Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China (mainland)
| | - Xiaolan Li
- Reproductive Center, Sixth Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China (mainland)
| | - Hong'e Liu
- Department of Obstetrics and Gynecology, Guangzhou Development District Hospital, Guangzhou, Guangdong, China (mainland)
| | - Xiaoyan Liang
- Reproductive Center, Sixth Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China (mainland)
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A combination of follicle stimulating hormone, estradiol and age is associated with the pregnancy outcome for women undergoing assisted reproduction: a retrospective cohort analysis. SCIENCE CHINA-LIFE SCIENCES 2018; 62:112-118. [PMID: 29980904 DOI: 10.1007/s11427-018-9322-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2018] [Accepted: 04/26/2018] [Indexed: 10/28/2022]
Abstract
To investigate the effect of basal hormone levels including follicle stimulating hormone (FSH) and estradiol (E2) and age on the pregnancy outcomes in women undergoing in vitro fertilization and embryo transfer (IVF-ET), we designed a retrospective cohort analysis and collected information of patients undergoing IVF between January 2014 and April 2017. We found that young women had much better pregnancy outcomes than older women regardless of the hormone levels. The pregnancy outcomes declined in young women with high basal E2, even though they had normal FSH. Older women with higher FSH had a worse outcome of pregnancy, especially with increased E2 level. The results suggest that a combination of FSH, E2 and age could effectively predict the pregnancy outcome for women undergoing IVF-ET, and we should encourage infertile women with diminished ovarian reserve, especially young infertile women, to try the assisted reproduction as early as possible. After 40-yearold, the cost-benefit ratio should be considered according to the ovarian function.
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Esteves SC, Roque M, Bedoschi GM, Conforti A, Humaidan P, Alviggi C. Defining Low Prognosis Patients Undergoing Assisted Reproductive Technology: POSEIDON Criteria-The Why. Front Endocrinol (Lausanne) 2018; 9:461. [PMID: 30174650 PMCID: PMC6107695 DOI: 10.3389/fendo.2018.00461] [Citation(s) in RCA: 77] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2018] [Accepted: 07/26/2018] [Indexed: 01/12/2023] Open
Abstract
Women with impaired ovarian reserve or poor ovarian response (POR) to exogenous gonadotropin stimulation present a challenge for reproductive specialists. The primary reasons relate to the still limited knowledge about the POR pathophysiology and the lack of practical solutions for the management of these conditions. Indeed, clinical trials using the current standards to define POR failed to show evidence in favor of a particular treatment modality. Furthermore, critical factors for reproductive success, such as the age-dependent embryo aneuploidy rates and the intrinsic ovarian resistance to gonadotropin stimulation, are not taken into consideration by the current POR criteria. As a result, the accepted definitions for POR have been criticized for their inadequacy concerning the proper patient characterization and for not providing clinicians a guide for therapeutic management. A novel system to classify infertility patients with "expected" or "unexpected" inappropriate ovarian response to exogenous gonadotropins-the POSEIDON criteria-was developed to provide a more nuanced picture of POR and to guide physicians in the management of such patients. The new standards are provoking as they challenge the current terminology of POR in favor of the newly defined concept of "low prognosis." This article provides readers a critical appraisal of the existing criteria that standardize the definition of POR and explains the primary reasons for the development of the POSEIDON criteria.
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Affiliation(s)
- Sandro C. Esteves
- ANDROFERT, Andrology and Human Reproduction Clinic, Campinas, Brazil
- Department of Surgery, University of Campinas (UNICAMP), Campinas, Brazil
- Faculty of Health, Aarhus University, Aarhus, Denmark
- *Correspondence: Sandro C. Esteves
| | - Matheus Roque
- ORIGEN, Center for Reproductive Medicine, Rio de Janeiro, Brazil
| | - Giuliano M. Bedoschi
- Division of Reproductive Medicine, Department of Gynecology and Obstetrics, University of São Paulo, Ribeirão Preto, Brazil
| | - Alessandro Conforti
- Department of Neuroscience, Reproductive Science and Odontostomatology, University of Naples Federico II, Naples, Italy
| | - Peter Humaidan
- Faculty of Health, Aarhus University, Aarhus, Denmark
- Fertility Clinic Skive Regional Hospital, Skive, Denmark
| | - Carlo Alviggi
- Department of Neuroscience, Reproductive Science and Odontostomatology, University of Naples Federico II, Naples, Italy
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Kim HH. Markers of ovarian reserve: is it possible to estimate an ovarian age? Fertil Steril 2017; 108:950-951. [DOI: 10.1016/j.fertnstert.2017.10.023] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2017] [Accepted: 10/17/2017] [Indexed: 11/30/2022]
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