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Ten W, Yuan Y, Zhang W, Wu Y, Ke B. High myopia is protective against diabetic retinopathy in the participants of the National Health and Nutrition Examination Survey. BMC Ophthalmol 2023; 23:468. [PMID: 37978475 PMCID: PMC10655330 DOI: 10.1186/s12886-023-03191-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 10/28/2023] [Indexed: 11/19/2023] Open
Abstract
PURPOSE To investigate the association of subjects with refractive error and diabetic retinopathy (DR) in the United States comparing results between different race groups. METHODS All data were derived from National Health and Nutrition Examination Survey (NHANES) from 2005 to 2008. The data were divided into four groups (emmetropia, mild myopia, high myopia, hypertropia) according to the spherical equivalent (SE), and those who met the enrollment conditions were selected as the study subjects. Multivariable logistic regression analysis was used to evaluate the relationship between refractive error and diabetic retinopathy risk. RESULTS A total of 1317 participants were included in the study, including 331 participants with diabetic retinopathy, and 986 without diabetic retinopathy. After adjustment for potential confounders, subjects with high myopia were associated with a lower risk of diabetic retinopathy. The odds ratio (OR) was 0.44, 95% confidence interval (CI): (0.20-0.96), P-value = 0.040 in the multivariate regression analysis. Subgroup analyses showed that subjects with high myopia in the non-Hispanic Black group were associated with decreased odds of diabetic retinopathy. (OR was 0.20, and 95% CI: 0.04-0.95, P-value = 0.042). CONCLUSION The results show that high myopia is associated with diabetic retinopathy in diabetic patients.
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Affiliation(s)
- Weijung Ten
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, No. 100 Haining Road, Shanghai, 200080, China
- Shanghai Key Laboratory of Fundus Disease, Shanghai, China
- Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai, China
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital,, Fudan University, Shanghai, China
| | - Ying Yuan
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, No. 100 Haining Road, Shanghai, 200080, China
- Shanghai Key Laboratory of Fundus Disease, Shanghai, China
- Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai, China
| | - Wei Zhang
- Shanghai Public Health Clinical Center & Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Yue Wu
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, No. 100 Haining Road, Shanghai, 200080, China
- Shanghai Key Laboratory of Fundus Disease, Shanghai, China
- Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai, China
| | - Bilian Ke
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, No. 100 Haining Road, Shanghai, 200080, China.
- Shanghai Key Laboratory of Fundus Disease, Shanghai, China.
- Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai, China.
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Sun X, Wang Y, Ge H, Chen C, Han X, Sun K, Wang M, Wei X, Ye M, Zhang Q, Liang T. Development and Validation of Novel Models Including Tumor Micronecrosis for Predicting the Postoperative Survival of Patients with Hepatocellular Carcinoma. J Hepatocell Carcinoma 2023; 10:1181-1194. [PMID: 37521028 PMCID: PMC10386864 DOI: 10.2147/jhc.s423687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 07/20/2023] [Indexed: 08/01/2023] Open
Abstract
Background The heterogeneity of hepatocellular carcinoma (HCC) leads to the unsatisfying predictive performance of current staging systems. HCC patients with pathological tumor micronecrosis have an immunosuppressive microenvironment. We aimed to develop novel prognostic models by integrating micronecrosis to predict the survival of HCC patients after hepatectomy more precisely. Methods We enrolled 765 HCC patients receiving curative hepatic resection. They were randomly divided into a training cohort (n= 536) and a validation cohort (n = 229). We developed two prognostic models for postoperative recurrence-free survival (RFS) and overall survival (OS) based on independent factors identified through multivariate Cox regression analyses. The predictive performance was assessed using the Harrell concordance index (C-index) and the time-dependent area under the receiver operating characteristic curve, compared with six conventional staging systems. Results The RFS and OS nomograms were developed based on tumor micronecrosis, tumor size, albumin-bilirubin grade, tumor number and prothrombin time. The C-indexes for the RFS nomogram and OS nomogram were respectively 0.66 (95% CI, 0.62-0.69) and 0.74 (95% CI, 0.69-0.79) in the training cohort, which was significantly better than those of the six common staging systems (0.52-0.61 for RFS and 0.53-0.63 for OS). The results were further confirmed in the validation group, with the C-indexes being 0.66 and 0.77 for the RFS and OS nomograms, respectively. Conclusion The two nomograms could more accurately predict RFS and OS in HCC patients receiving curative hepatic resection, thereby aiding in formulating personalized postoperative follow-up plans.
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Affiliation(s)
- Xuqi Sun
- Department of Medical Oncology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
| | - Yangyang Wang
- Department of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
- Zhejiang Provincial Key Laboratory of Pancreatic Disease, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
| | - Hongbin Ge
- Department of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
- Zhejiang Provincial Key Laboratory of Pancreatic Disease, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
| | - Cao Chen
- Department of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
- Zhejiang Provincial Key Laboratory of Pancreatic Disease, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
| | - Xu Han
- Department of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
- Zhejiang Provincial Key Laboratory of Pancreatic Disease, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
| | - Ke Sun
- Department of Pathology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
| | - Meng Wang
- Department of Pathology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
| | - Xiaobao Wei
- Department of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
- Zhejiang Provincial Key Laboratory of Pancreatic Disease, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
| | - Mao Ye
- Department of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
- Zhejiang Provincial Key Laboratory of Pancreatic Disease, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
| | - Qi Zhang
- Department of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
- Zhejiang Provincial Key Laboratory of Pancreatic Disease, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
- Zhejiang University Cancer Center, Hangzhou, People’s Republic of China
- Zhejiang Clinical Research Center of Hepatobiliary and Pancreatic Diseases, Hangzhou, People’s Republic of China
| | - Tingbo Liang
- Department of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
- Zhejiang Provincial Key Laboratory of Pancreatic Disease, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
- Zhejiang University Cancer Center, Hangzhou, People’s Republic of China
- Zhejiang Clinical Research Center of Hepatobiliary and Pancreatic Diseases, Hangzhou, People’s Republic of China
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Liu Y, Wang W, Sun J, Li Y, Wu S, Li Q, Dong M, Wang L, Song L. CgDM9CP-5-Integrin-MAPK Pathway Regulates the Production of CgIL-17s and Cgdefensins in the Pacific Oyster, Crassostrea gigas. J Immunol 2023; 210:245-258. [PMID: 36548464 PMCID: PMC9842941 DOI: 10.4049/jimmunol.2200016] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 11/19/2022] [Indexed: 12/24/2022]
Abstract
DM9 domain containing protein (DM9CP) is a family of newly identified recognition receptors exiting in most organisms except plants and mammals. In the current study, to our knowledge, a novel DM9CP-5 (CgDM9CP-5) with two tandem DM9 repeats and high expression level in gill was identified from the Pacific oyster, Crassostrea gigas. The deduced amino acid sequence of CgDM9CP-5 shared 62.1% identity with CgDM9CP-1 from C. gigas, and 47.8% identity with OeFAMeT from Ostrea edulis. The recombinant CgDM9CP-5 (rCgDM9CP-5) was able to bind d-mannose, LPS, peptidoglycan, and polyinosinic-polycytidylic acid, as well as fungi Pichia pastoris, Gram-negative bacteria Escherichia coli and Vibrio splendidus, and Gram-positive bacteria Staphylococcus aureus. The mRNA transcript of CgDM9CP-5 was highly expressed in gill, and its protein was mainly distributed in gill mucus. After the stimulations with V. splendidus and mannose, mRNA expression of CgDM9CP-5 in oyster gill was significantly upregulated and reached the peak level at 6 and 24 h, which was 13.58-fold (p < 0.05) and 14.01-fold (p < 0.05) of that in the control group, respectively. CgDM9CP-5 was able to bind CgIntegrin both in vivo and in vitro. After CgDM9CP-5 or CgIntegrin was knocked down by RNA interference, the phosphorylation levels of JNK and P38 in the MAPK pathway decreased, and the expression levels of CgIL-17s (CgIL-17-3, -4, -5, and -6), Cg-Defh1, Cg-Defh2, and CgMolluscidin were significantly downregulated. These results suggested that there was a pathway of DM9CP-5-Integrin-MAPK mediated by CgDM9CP-5 to regulate the release of proinflammatory factors and defensins in C. gigas.
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Affiliation(s)
- Yu Liu
- Liaoning Key Laboratory of Marine Animal Immunology and Disease Control, Dalian Ocean University, Dalian, China
- Liaoning Key Laboratory of Marine Animal Immunology, Dalian Ocean University, Dalian, China
| | - Weilin Wang
- Liaoning Key Laboratory of Marine Animal Immunology and Disease Control, Dalian Ocean University, Dalian, China
- Liaoning Key Laboratory of Marine Animal Immunology, Dalian Ocean University, Dalian, China
| | - Jiejie Sun
- Liaoning Key Laboratory of Marine Animal Immunology and Disease Control, Dalian Ocean University, Dalian, China
- Liaoning Key Laboratory of Marine Animal Immunology, Dalian Ocean University, Dalian, China
| | - Yinan Li
- Liaoning Key Laboratory of Marine Animal Immunology and Disease Control, Dalian Ocean University, Dalian, China
- Liaoning Key Laboratory of Marine Animal Immunology, Dalian Ocean University, Dalian, China
| | - Shasha Wu
- Liaoning Key Laboratory of Marine Animal Immunology and Disease Control, Dalian Ocean University, Dalian, China
- Liaoning Key Laboratory of Marine Animal Immunology, Dalian Ocean University, Dalian, China
| | - Qing Li
- Liaoning Key Laboratory of Marine Animal Immunology and Disease Control, Dalian Ocean University, Dalian, China
- Liaoning Key Laboratory of Marine Animal Immunology, Dalian Ocean University, Dalian, China
| | - Miren Dong
- Liaoning Key Laboratory of Marine Animal Immunology and Disease Control, Dalian Ocean University, Dalian, China
- Liaoning Key Laboratory of Marine Animal Immunology, Dalian Ocean University, Dalian, China
| | - Lingling Wang
- Liaoning Key Laboratory of Marine Animal Immunology and Disease Control, Dalian Ocean University, Dalian, China
- Liaoning Key Laboratory of Marine Animal Immunology, Dalian Ocean University, Dalian, China
- Dalian Key Laboratory of Aquatic Animal Disease Prevention and Control, Dalian Ocean University, Dalian, China; and
| | - Linsheng Song
- Liaoning Key Laboratory of Marine Animal Immunology and Disease Control, Dalian Ocean University, Dalian, China
- Liaoning Key Laboratory of Marine Animal Immunology, Dalian Ocean University, Dalian, China
- Dalian Key Laboratory of Aquatic Animal Disease Prevention and Control, Dalian Ocean University, Dalian, China; and
- Functional Laboratory of Marine Fisheries Science and Food Production Process, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
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Lv H, Li X, Du J, Ling X, Diao F, Lu Q, Tao S, Huang L, Chen S, Han X, Zhou K, Xu B, Liu X, Ma H, Xia Y, Shen H, Hu Z, Jin G, Guan Y, Wang X. Effect of endometrial thickness and embryo quality on live-birth rate of fresh IVF/ICSI cycles: a retrospective cohort study. Reprod Biol Endocrinol 2020; 18:89. [PMID: 32825835 PMCID: PMC7441697 DOI: 10.1186/s12958-020-00636-6] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Accepted: 07/29/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Successful implantation and delivery require both the functional embryo and receptive endometrium in assisted reproductive technology (ART) cycles. However, little is known about embryo-endometrial interaction on live-birth. We aimed to investigate the independent effect and interaction of endometrial thickness (EMT) and embryo quality on live-birth in fresh embryo transfer (ET) cycles. METHODS We conducted a retrospective cohort study including 15,012 ART cycles between 2013 and 2016 in three centers in China. Poisson regression with generalized estimating equations was employed to calculate relative risks (RRs) and 95% confidence intervals (CIs). We estimated the interaction of embryo quality and EMT on live-birth rate (LBR). RESULTS The LBR per cycle was 42.8% overall. LBR increased with increasing EMT and reached a plateau (50.6 to 54.2%) when EMT was 11 mm or thicker. Embryo quality represented by cumulative score was associated with LBR independently of number of embryos transferred and EMT. LBR was not increased with thicker EMT when only Q1 cleavage-stage embryo transferred (aRR 0.95, 95%CI 0.61-1.46). LBR was not increased significantly with thicker EMT with transfer of two good-quality cleavage-stage embryos and any blastocyst combination except Q1 group. There was significant interaction between EMT and embryo quality on LBR for cleavage-stage ETs (P=0.023). CONCLUSIONS This study demonstrated the nonlinear EMT-LBR association and the EMT cut-off value of 11 mm which may be of more clinical significance for predicting live-birth. Embryo quality is an independent prognostic tool for LBR. Our finding of significant embryo-endometrial interaction indicates combination of EMT and embryos quality might improve the prognostic value in clinical practice for live-birth in patients undergoing transfer of 1-2 fresh cleavage-stage embryos.
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Affiliation(s)
- Hong Lv
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, China
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Xiuzhu Li
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, China
| | - Jiangbo Du
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, China
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Xiufeng Ling
- Department of Reproduction, the Affiliated Nanjing Maternity and Child Health Hospital of Nanjing Medical University, Nanjing, 210004, China
| | - Feiyang Diao
- Department of Reproduction, the First Affiliated Hospital with Nanjing Medical University, Nanjing, 210029, China
| | - Qun Lu
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, China
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Shiyao Tao
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, China
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Lei Huang
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, China
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Shiyao Chen
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, China
| | - Xiumei Han
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, China
| | - Kun Zhou
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, China
| | - Bo Xu
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, China
| | - Xiaoyu Liu
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, China
| | - Hongxia Ma
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, China
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Yankai Xia
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, China
| | - Hongbing Shen
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, China
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Zhibin Hu
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, China
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Guangfu Jin
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, China.
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
| | - Yichun Guan
- Department of Reproduction, Henan Medical Maternity and Child Health Care Hospital, Henan, 450052, China.
| | - Xinru Wang
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, China.
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Fang D, Chen B, Hubacek K, Ni R, Chen L, Feng K, Lin J. Clean air for some: Unintended spillover effects of regional air pollution policies. Sci Adv 2019; 5:eaav4707. [PMID: 31032411 PMCID: PMC6482018 DOI: 10.1126/sciadv.aav4707] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2018] [Accepted: 03/06/2019] [Indexed: 05/18/2023]
Abstract
China has enacted a number of ambitious pollution control policies to mitigate air pollution in urban areas. Unintended side effects of these policies to other environmental policy arenas and regions have largely been ignored. To bridge this gap, we use a multiregional input-output model in combination with an atmospheric chemical transport model to simulate clean air policy scenarios and evaluate their environmental impacts on primary PM2.5 and secondary precursor emissions, as well as CO2 emissions and water consumption, in the target region and spillover effects to other regions. Our results show that the reduction in primary PM2.5 and secondary precursor emissions in the target regions comes at the cost of increasing emissions especially in neighboring provinces. Similarly, co-benefits of lower CO2 emissions and reduced water consumption in the target region are achieved at the expense of higher impacts elsewhere, through outsourcing production to less developed regions in China.
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Affiliation(s)
- Delin Fang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Bin Chen
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Klaus Hubacek
- Center for Energy and Environmental Sciences (IVEM), Energy and Sustainability Research Institute Groningen (ESRIG), University of Groningen, Groningen, 9747 AG, Netherlands
- Department of Environmental Studies, Masaryk University, Brno, Czech Republic
- Department of Geographical Sciences, University of Maryland, College Park, MD 20740, USA
- International Institute for Applied Systems Analysis, Schlossplatz 1 - A-2361 Laxenburg, Austria
| | - Ruijing Ni
- Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China
| | - Lulu Chen
- Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China
| | - Kuishuang Feng
- Department of Geographical Sciences, University of Maryland, College Park, MD 20740, USA
| | - Jintai Lin
- Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China
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Hu L, Du J, Lv H, Zhao J, Chen M, Wang Y, Wu F, Liu F, Chen X, Zhang J, Ma H, Jin G, Shen H, Chen L, Ling X, Hu Z. Influencing factors of pregnancy loss and survival probability of clinical pregnancies conceived through assisted reproductive technology. Reprod Biol Endocrinol 2018; 16:74. [PMID: 30086781 PMCID: PMC6081896 DOI: 10.1186/s12958-018-0390-6] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Accepted: 07/23/2018] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Pregnancies following assisted reproductive technology (ART) may have elevated potential risk of pregnancy loss (PL) when compared to natural conception. However, rare studies comprehensively analyzed the IVF/ICSI cycle-dependent factors for loss of clinical pregnancy. Therefore, we aimed to determine the ART subgroup-specific risks of PL throughout pregnancy and explore different risk factors for early miscarriage and late miscarriage among pregnancies conceived through ART. METHODS A retrospective cohort study was launched in two infertility treatment centers in Nanjing and Changzhou including 5485 IVF/ICSI embryo transfer cycles with known outcomes after clinical pregnancy by the end of 2015. Cox proportional hazards regression analysis was performed to estimate the hazard ratios and their 95% confidence intervals. The associations between survival time during pregnancy and demographics and clinical characteristics of clinical pregnancies were estimated using the Kaplan-Meier method and the Log-rank test. RESULTS The overall PL rate in current ART population was 12.5%. Among the 685 pregnancy loss cycles, a total of 460 ended as early miscarriage, 191 as late miscarriage. We found couples in ART pregnancies demonstrated a significantly increased risk of PL as maternal age (HR = 1.31, Ptrend < 0.001) grows. Pregnancies received controlled ovarian hyperstimulation (COH) protocol like GnRH antagonist protocol (HR = 3.49, P < 0.001) and minimal stimulation protocol (HR = 1.83, P < 0.001) had higher risk of PL than GnRH-a long protocol. Notably, in contrast to fresh cycle, women who received frozen cycle embryo had a significant increased risk of early miscarriage (P < 0.001), while frozen cycle was linked with lower risk of late miscarriage (P = 0.045). In addition, four factors (maternal age, COH protocol, cycle type and serum hCG level 14 days after transfer) had independent impact on miscarriage mainly before 12 weeks of gestational age. CONCLUSIONS With these findings in this study, clinicians may make it better to evaluate a patient's risk of PL based on the maternal age at the time of treatment, COH protocol, cycle type and serum hCG level 14 days after transfer and the gestational week of the fetus, and we hope that it contributes to future study on its etiology and guide the clinical prevention and treatment.
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Affiliation(s)
- Lingmin Hu
- Department of Reproduction, the Affiliated Changzhou Maternity and Child Health Care, Hospital of Nanjing Medical University, Changzhou, 213003, Jiangsu, China
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, China
| | - Jiangbo Du
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, China
| | - Hong Lv
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, China
| | - Jing Zhao
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, China
- Department of Reproduction, the Affiliated Nanjing Maternity and Child Health, Hospital of Nanjing Medical University, Nanjing, 210004, China
| | - Mengxi Chen
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, China
- Department of Reproduction, the Affiliated Nanjing Maternity and Child Health, Hospital of Nanjing Medical University, Nanjing, 210004, China
| | - Yifeng Wang
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, China
| | - Fang Wu
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, China
| | - Feng Liu
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, China
| | - Xiaojiao Chen
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, China
- Department of Reproduction, the Affiliated Nanjing Maternity and Child Health, Hospital of Nanjing Medical University, Nanjing, 210004, China
| | - Junqiang Zhang
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, China
- Department of Reproduction, the Affiliated Nanjing Maternity and Child Health, Hospital of Nanjing Medical University, Nanjing, 210004, China
| | - Hongxia Ma
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, China
| | - Guangfu Jin
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, China
| | - Hongbing Shen
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, China
| | - Li Chen
- Department of Reproduction, the Affiliated Changzhou Maternity and Child Health Care, Hospital of Nanjing Medical University, Changzhou, 213003, Jiangsu, China.
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, China.
| | - Xiufeng Ling
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, China.
- Department of Reproduction, the Affiliated Nanjing Maternity and Child Health, Hospital of Nanjing Medical University, Nanjing, 210004, China.
| | - Zhibin Hu
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, China.
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Zhang X, Lei L, Lai J, Zhao H, Song W. Effects of drought stress and water recovery on physiological responses and gene expression in maize seedlings. BMC Plant Biol 2018; 18:68. [PMID: 29685101 PMCID: PMC5913800 DOI: 10.1186/s12870-018-1281-x] [Citation(s) in RCA: 63] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2017] [Accepted: 04/03/2018] [Indexed: 05/24/2023]
Abstract
BACKGROUND Drought is one of the major factors limiting global maize production. Exposure to long-term drought conditions inhibits growth and leads to yield losses. Although several drought-responsive genes have been identified and functionally analyzed, the mechanisms underlying responses to drought and water recovery treatments have not been fully elucidated. To characterize how maize seedling respond to drought stress at the transcriptional level, we analyzed physiological responses and differentially expressed genes (DEGs) in the inbred line B73 under water deficit and recovery conditions. RESULTS The data for relative leaf water content, leaf size, and photosynthesis-related parameters indicated that drought stress significantly repressed maize seedling growth. Further RNA sequencing analysis revealed that 6107 DEGs were responsive to drought stress and water recovery, with more down-regulated than up-regulated genes. Among the DEGs, the photosynthesis- and hormone-related genes were enriched in responses to drought stress and re-watering. Additionally, transcription factor genes from 37 families were differentially expressed among the three analyzed time-points. Gene ontology enrichment analyses of the DEGs indicated that 50 GO terms, including those related to photosynthesis, carbohydrate metabolism, oxidoreductase activities, nutrient metabolism and other drought-responsive pathways, were over-represented in the drought-treated seedlings. The content of gibberellin in drought treatment seedlings was decreased compared to that of control seedlings, while abscisic acid showed accumulated in the drought treated plants. The deep analysis of DEGs related to cell wall development indicated that these genes were prone to be down-regulated at drought treatment stage. CONCLUSIONS Many genes that are differentially expressed in responses to drought stress and water recovery conditions affect photosynthetic systems and hormone biosynthesis. The identified DEGs, especially those encoding transcription factors, represent potential targets for developing drought-tolerant maize lines.
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Affiliation(s)
- Xiangbo Zhang
- State Key Laboratory of Agrobiotechnology/National Maize Improvement Center of China/Key Laboratory of Crop Heterosis and Utilization of the Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, No. 2, Yuanmingyuan West Road, Haidian District, Beijing, 100193 China
| | - Lei Lei
- State Key Laboratory of Agrobiotechnology/National Maize Improvement Center of China/Key Laboratory of Crop Heterosis and Utilization of the Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, No. 2, Yuanmingyuan West Road, Haidian District, Beijing, 100193 China
| | - Jinsheng Lai
- State Key Laboratory of Agrobiotechnology/National Maize Improvement Center of China/Key Laboratory of Crop Heterosis and Utilization of the Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, No. 2, Yuanmingyuan West Road, Haidian District, Beijing, 100193 China
| | - Haiming Zhao
- State Key Laboratory of Agrobiotechnology/National Maize Improvement Center of China/Key Laboratory of Crop Heterosis and Utilization of the Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, No. 2, Yuanmingyuan West Road, Haidian District, Beijing, 100193 China
| | - Weibin Song
- State Key Laboratory of Agrobiotechnology/National Maize Improvement Center of China/Key Laboratory of Crop Heterosis and Utilization of the Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, No. 2, Yuanmingyuan West Road, Haidian District, Beijing, 100193 China
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