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Dong L, Zhou WD, Ju L, Zhao HQ, Yang YH, Shao L, Song KM, Wang L, Ma T, Wang YX, Wei WB. [Preliminary study on automatic quantification and grading of leopard spots fundus based on deep learning technology]. Zhonghua Yan Ke Za Zhi 2024; 60:257-264. [PMID: 38462374 DOI: 10.3760/cma.j.cn112142-20231210-00281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Objective: To achieve automatic segmentation, quantification, and grading of different regions of leopard spots fundus (FT) using deep learning technology. The analysis includes exploring the correlation between novel quantitative indicators, leopard spot fundus grades, and various systemic and ocular parameters. Methods: This was a cross-sectional study. The data were sourced from the Beijing Eye Study, a population-based longitudinal study. In 2001, a group of individuals aged 40 and above were surveyed in five urban communities in Haidian District and three rural communities in Daxing District of Beijing. A follow-up was conducted in 2011. This study included individuals aged 50 and above who participated in the second 5-year follow-up in 2011, considering only the data from the right eye. Color fundus images centered on the macula of the right eye were input into the leopard spot segmentation model and macular detection network. Using the macular center as the origin, with inner circle diameters of 1 mm, 3 mm, and outer circle diameter of 6 mm, fine segmentation of the fundus was achieved. This allowed the calculation of the leopard spot density (FTD) and leopard spot grade for each region. Further analyses of the differences in ocular and systemic parameters among different regions' FTD and leopard spot grades were conducted. The participants were categorized into three refractive types based on equivalent spherical power (SE): myopia (SE<-0.25 D), emmetropia (-0.25 D≤SE≤0.25 D), and hyperopia (SE>0.25 D). Based on axial length, the participants were divided into groups with axial length<24 mm, 24-26 mm, and>26 mm for the analysis of different types of FTD. Statistical analyses were performed using one-way analysis of variance, Kruskal-Wallis test, Bonferroni test, and Spearman correlation analysis. Results: The study included 3 369 participants (3 369 eyes) with an average age of (63.9±10.6) years; among them, 1 886 were female (56.0%) and 1, 483 were male (64.0%). The overall FTD for all eyes was 0.060 (0.016, 0.163); inner circle FTD was 0.000 (0.000, 0.025); middle circle FTD was 0.030 (0.000, 0.130); outer circle FTD was 0.055 (0.009, 0.171). The results of the univariate analysis indicated that FTD in various regions was correlated with axial length (overall: r=0.38, P<0.001; inner circle: r=0.31, P<0.001; middle circle: r=0.36, P<0.001; outer circle: r=0.39, P<0.001), subfoveal choroidal thickness (SFCT) (overall: r=-0.69, P<0.001; inner circle: r=-0.57, P<0.001; middle circle: r=-0.68, P<0.001; outer circle: r=-0.72, P<0.001), age (overall: r=0.34, P<0.001; inner circle: r=0.30, P<0.001; middle circle: r=0.31, P<0.001; outer circle: r=0.35, P<0.001), gender (overall: r=-0.11, P<0.001; inner circle: r=-0.04, P<0.001; middle circle: r=-0.07, P<0.001; outer circle: r=-0.11, P<0.001), SE (overall: r=-0.20; P<0.001; inner circle: r=-0.19, P<0.001; middle circle: r=-0.20, P<0.001; outer circle: r=-0.20, P<0.001), uncorrected visual acuity (overall: r=-0.18, P<0.001; inner circle: r=-0.26, P<0.001; middle circle: r=-0.24, P<0.001; outer circle: r=-0.22, P<0.001), and body mass index (BMI) (overall: r=-0.11, P<0.001; inner circle: r=-0.13, P<0.001; middle circle: r=-0.14, P<0.001; outer circle: r=-0.13, P<0.001). Further multivariate analysis results indicated that different region FTD was correlated with axial length (overall: β=0.020, P<0.001; inner circle: β=-0.022, P<0.001; middle circle: β=0.027, P<0.001; outer circle: β=0.022, P<0.001), SFCT (overall: β=-0.001, P<0.001; inner circle: β=-0.001, P<0.001; middle circle: β=-0.001, P<0.001; outer circle: β=-0.001, P<0.001), and age (overall: β=0.002, P<0.001; inner circle: β=0.001, P<0.001; middle circle: β=0.002, P<0.001; outer circle: β=0.002, P<0.001). The distribution of overall (H=56.76, P<0.001), inner circle (H=72.22, P<0.001), middle circle (H=75.83, P<0.001), and outer circle (H=70.34, P<0.001) FTD differed significantly among different refractive types. The distribution of overall (H=373.15, P<0.001), inner circle (H=367.67, P<0.001), middle circle (H=389.14, P<0.001), and outer circle (H=386.89, P<0.001) FTD differed significantly among different axial length groups. Furthermore, comparing various levels of FTD with systemic and ocular parameters, significant differences were found in axial length (F=142.85, P<0.001) and SFCT (F=530.46, P<0.001). Conclusions: The use of deep learning technology enables automatic segmentation and quantification of different regions of theFT, as well as preliminary grading. Different region FTD is significantly correlated with axial length, SFCT, and age. Individuals with older age, myopia, and longer axial length tend to have higher FTD and more advanced FT grades.
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Affiliation(s)
- L Dong
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - W D Zhou
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - L Ju
- Beijing Airdoc Technology Co, Ltd, Beijing 100029, China
| | - H Q Zhao
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - Y H Yang
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - L Shao
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - K M Song
- Beijing Airdoc Technology Co, Ltd, Beijing 100029, China
| | - L Wang
- Beijing Airdoc Technology Co, Ltd, Beijing 100029, China
| | - T Ma
- Beijing Airdoc Technology Co, Ltd, Beijing 100029, China
| | - Y X Wang
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - W B Wei
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
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Wei WB, Shao L, Zhou WD. [Emphasizing the timing and procedure selection for vitrectomy in pathological myopic traction maculopathy]. Zhonghua Yan Ke Za Zhi 2024; 60:211-214. [PMID: 38462367 DOI: 10.3760/cma.j.cn112142-20231221-00299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Myopic maculopathy is the primary cause of irreversible visual impairment in patients with pathologic myopia, and myopic traction maculopathy often requires vitrectomy for treatment. Myopic traction maculopathy encompasses epiretinal membrane, foveoschisis, macular hole, and macular hole-related retinal detachment. It is recommended to perform vitrectomy combined with inner limiting membrane peeling for Type II epiretinal membrane, foveal-sparing inner limiting membrane peeling for foveoschisis, inverted inner limiting membrane flap technique for macular hole, and vitrectomy combined with macular buckle for refractory macular hole-related retinal detachment. Myopic traction maculopathy is a chronically progressive condition, and surgeons need to accurately determine the timing of surgery and choose appropriate procedures to maximize the benefits for patients.
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Affiliation(s)
- W B Wei
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - L Shao
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - W D Zhou
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
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Shi XH, Dong L, Zhang RH, Zhou WD, Li YF, Wu HT, Li HY, Yu CY, Li YT, Wang YX, Jonas JB, Wei WB. Reduction of experimental ocular axial elongation by neuregulin-1 antibody. Front Med (Lausanne) 2023; 10:1277180. [PMID: 37964886 PMCID: PMC10640991 DOI: 10.3389/fmed.2023.1277180] [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] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 10/13/2023] [Indexed: 11/16/2023] Open
Abstract
Background Since the mechanisms underlying myopic axial elongation have remained unclear, we examined the effect of neuregulin-1 (NRG-1), an epidermal growth factor family member, on myopic axial elongation. Methods The guinea pigs aged two to three weeks were subjected to bilateral negative lens-induced axial elongation and received weekly intravitreal injections into their right eyes of NRG-1 antibody (doses: 5 μg, n = 8; 10 μg, n = 8, 20 μg, n = 9) or of NRG-1 (doses: 0.05 μg, n = 8; 0.01 μg, n = 9; 0.2 μg, n = 8), underwent only bilateral negative lens-induced axial elongation (myopia control group, n = 10), or underwent no intervention (control group, n = 10). The contralateral eyes received corresponding intravitreal phosphate-buffered solution injections. One week after the last injection, the guinea pigs were sacrificed, the eyeballs were removed, the thicknesses of the retina and sclera were histologically examined, the expression of NRG-1 and downstream signal transduction pathway members (ERK1/2 and PI3K/AKT) and the mRNA expression of NRG-1 in the retina was assessed. Results The inter-eye difference in axial length at study end increased (p < 0.001) from the normal control group (-0.02 ± 0.09 mm) and the myopia control group (-0.01 ± 0.09 mm) to the low-dose NRG-1 antibody group (-0.11 ± 0.05 mm), medium-dose NRG-1 antibody group (-0.17 ± 0.07 mm), and high-dose NRG-1 antibody group (-0.28 ± 0.06 mm). The relative expression of NRG-1, ERK1/2, and PI3K/AKT in the retina decreased in a dose-dependent manner from the myopia control group to the NRG-1 antibody groups and the normal control group. The relative NRG-1 mRNA expression in the retina was higher (p < 0.01) in the myopic control group than in the NRG-1 antibody groups and normal control group. Scleral and retinal thickness decreased from the normal control group to the NRG-1 antibody groups to the myopic control group. After intraocular injection of NRG-1 protein, there was a slight dose-dependent increase in the difference in axial length between the right and left eye, however not statistically significantly, from the normal control group (-0.02 ± 0.09 mm) to the high-dose NRG-1 protein group (0.03 ± 0.03 mm; p = 0.12). Conclusion Intravitreal NRG-1 antibody application was dose-dependently and time-dependently associated with a reduction in negative lens-induced axial elongation in young guinea pigs.
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Affiliation(s)
- Xu Han Shi
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Tongren Hospital, Capital Medical University, Beijing, China
- Beijing Ophthalmology and Visual Sciences Key Lab, Beijing Tongren Hospital, Capital Medical University, Beijing, China
- Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Li Dong
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Tongren Hospital, Capital Medical University, Beijing, China
- Beijing Ophthalmology and Visual Sciences Key Lab, Beijing Tongren Hospital, Capital Medical University, Beijing, China
- Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Rui Heng Zhang
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Tongren Hospital, Capital Medical University, Beijing, China
- Beijing Ophthalmology and Visual Sciences Key Lab, Beijing Tongren Hospital, Capital Medical University, Beijing, China
- Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Wen Da Zhou
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Tongren Hospital, Capital Medical University, Beijing, China
- Beijing Ophthalmology and Visual Sciences Key Lab, Beijing Tongren Hospital, Capital Medical University, Beijing, China
- Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Yi Fan Li
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Tongren Hospital, Capital Medical University, Beijing, China
- Beijing Ophthalmology and Visual Sciences Key Lab, Beijing Tongren Hospital, Capital Medical University, Beijing, China
- Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Hao Tian Wu
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Tongren Hospital, Capital Medical University, Beijing, China
- Beijing Ophthalmology and Visual Sciences Key Lab, Beijing Tongren Hospital, Capital Medical University, Beijing, China
- Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - He Yan Li
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Tongren Hospital, Capital Medical University, Beijing, China
- Beijing Ophthalmology and Visual Sciences Key Lab, Beijing Tongren Hospital, Capital Medical University, Beijing, China
- Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Chu Yao Yu
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Tongren Hospital, Capital Medical University, Beijing, China
- Beijing Ophthalmology and Visual Sciences Key Lab, Beijing Tongren Hospital, Capital Medical University, Beijing, China
- Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Yi Tong Li
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Tongren Hospital, Capital Medical University, Beijing, China
- Beijing Ophthalmology and Visual Sciences Key Lab, Beijing Tongren Hospital, Capital Medical University, Beijing, China
- Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Ya Xing Wang
- Beijing Ophthalmology and Visual Science Key Laboratory, Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Institute of Ophthalmology, Capital Medical University, Beijing, China
| | - Jost B. Jonas
- Department of Ophthalmology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Institute of Molecular and Clinical Ophthalmology Basel, Basel, Switzerland
| | - Wen Bin Wei
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Tongren Hospital, Capital Medical University, Beijing, China
- Beijing Ophthalmology and Visual Sciences Key Lab, Beijing Tongren Hospital, Capital Medical University, Beijing, China
- Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
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Shao L, Zhang QL, Zhang C, Dong L, Zhou WD, Zhang RH, Wu HT, Wei WB. Thickness of retinal pigment epithelium-Bruch's membrane complex in adult Chinese using optical coherence tomography. Eye (Lond) 2023; 37:155-159. [PMID: 35046547 PMCID: PMC9829656 DOI: 10.1038/s41433-021-01911-5] [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: 09/22/2021] [Revised: 12/05/2021] [Accepted: 12/15/2021] [Indexed: 01/17/2023] Open
Abstract
PURPOSE To study thickness of RPE-BM complex in adult Chinese subjects and its correlation with systemic and ocular biometric parameters. DESIGN Population-based longitudinal study. Cross-sectional study. PARTICIPANTS The population-based Beijing Eye Study 2011 included 3468 individuals with a mean age of 64.6 ± 9.8 years (range: 50-93 years). METHODS A detailed ophthalmic examination was performed including spectral-domain optical coherence tomography (SD OCT) for measurement of the thickness of RPE-BM complex. Use Heidelberg software "Heidelberg Eye Explorer" for segmentation and measurements. MAIN OUTCOME MEASURE Thickness of RPE-BM complex. RESULTS In total, 3276 people (6530 eyes) were included in the study. In total, 1844 (56.3%) subjects were female. The mean age was 64.3 ± 9.6 years (range: 50-93 years). The mean refractive error (spherical equivalent) was -0.18 ± 2.04 diopters (range: -22.0 to +7.50 diopters). Mean thickness of the RPE-BM complex at the foveal center was 25.09 ± 3.98 μm (range: 17-37 μm). In multiple regression analysis, subfoveal thickness of the RPE-BM complex was associated with age (p = 0.039; beta: 0.22; B: 0.10 (95% CI: 0.01, 0.20)) and hypertension history (p = 0.038; beta: 0.23; B: 1.96 (95% CI: 0.12, 3.81)). CONCLUSION Mean subfoveal thickness of the RPE-BM complex was 25.09 ± 3.98 μm in elderly subjects with a mean age of 64.3 years increased with age and hypertension history. The increase in the thickness of RPE-BM complex may play a role in the pathophysiologic features of various age-related ocular conditions.
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Affiliation(s)
- Lei Shao
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology and Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Qing Lin Zhang
- Department of Neurosurgery, Tsinghua University Yuquan Hospital, Beijing, China
| | - Chuan Zhang
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology and Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Li Dong
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology and Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Wen Da Zhou
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology and Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Rui Heng Zhang
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology and Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Hao Tian Wu
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology and Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Wen Bin Wei
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology and Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
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Tong JL, Zhu GH, Sun DW, Lu D, Cheng YF, Chen H, Pei LJ, Yin X, Zhou WD, Zhang W, Ling D, Xie X, Tan X, Zhu YJ, Wu XM, Hu CY, Li H, Wang Y, Fan JY, Jia XM, Zhu TY, Chen LM, Guo HY, Zhao SJ, Wang S, Feng SW, He XY, Chi YG, Sun XL, Lang JH, Sui L, Zhu L. [Consensus of Chinese experts on hysteroscopy day surgery center set-up and management process]. Zhonghua Fu Chan Ke Za Zhi 2022; 57:891-899. [PMID: 36562222 DOI: 10.3760/cma.j.cn112141-20220925-00594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Zhou LX, Shao L, Da Zhou W, Xu L, Li R, Wei WB. Beta zone parapapillary atrophy in elderly Chinese. BMC Ophthalmol 2022; 22:431. [DOI: 10.1186/s12886-022-02651-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 10/26/2022] [Indexed: 11/13/2022] Open
Abstract
Abstract
Purpose
Assess the beta zone parapapillary atrophy in elderly Chinese.
Patients and methods
The Beijing Eye Study 2011 is a population-based cross-sectional study, which includes 3468 patients with the average age of 64.5 ± 9.8 years. The beta zone of parapapillary atrophy was captured and analyzed morphometrically by using colour optic disc photographs.
Results
The beta zone was found in 1358 (39.9%) eyes, measuring 0.37 ± 0.84 mm2 in size, 203.5 ± 81.8° in circumferential angle, 0.36 ± 0.27 mm in the maximum radial extent, the most often and longest in the temporal peripapillary region, followed by the temporal inferior region and the temporal superior region, the nasal region at least. Beta zone has statistically significant association with male gender (P = 0.001), myopic refractive error (P = 0.003), thinner retinal nerve fiber layer thickness (P<0.001), thinner subfoveal choroidal thickness (P<0.001), bigger size of optic disc size (P<0.001). The size of beta zone has statistically significant association with longer axial length (P = 0.004),increasing age (P<0.001), urban (P = 0.025), cardiovascular disease history (P = 0.025), with age related macular degeneration (P = 0.038), myopic ametropia (P<0.001), thinner retinal nerve fiber layer thickness (P = 0.001), thinner subfoveal choroidal thickness (P<0.001), bigger size of optic disc size (P = 0.001).
Conclusion
The population prevalence of beta zone was 39.9% in elderly Chinese. The area of the beta zone has statistically significant association with age, urban, the thickness of retinal nerve fiber layer, age related macular degeneration, cardiovascular disease history, axial length, myopic refractive error, size of optic disc size, the thickness of subfoveal choroid.
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Zhang C, Shao L, Dong L, Da Zhou W, Zhang RH, Wei WB. Prevalence and associations of asteroid hyalosis: the Beijing Eye Study. BMC Ophthalmol 2022; 22:360. [PMID: 36068511 PMCID: PMC9446789 DOI: 10.1186/s12886-022-02586-6] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Accepted: 08/25/2022] [Indexed: 11/12/2022] Open
Abstract
Background To determine the prevalence and associations of asteroid hyalosis (AH) in a Chinese population-based cohort. Methods The retrospective, cross-sectional, population-based Beijing Eye Study 2011 included 3468 individuals with a mean age of 64.6 ± 9.8 years (range: 50–93 years). Participants underwent detailed ophthalmic examinations including fundus photographs for diagnosis of AH. Data on systemic and ocular factors were collected for all participants according to the standardized protocol. Multiple linear regression and multivariate Logistic regression analysis were performed. Results Fundus photographs were gradable in 3419 subjects. AH was detected in 63 (0.9%, 95% CI: 0.7%, 1.1%) eyes of 53 (1.6%, 95% CI: 1.1%, 2.0%) subjects. AH was bilateral in 18.9%. Mean age of all subjects with AH was 69.2 ± 9.5 years (median, 71.0 years; range, 51–91 years), mean spherical equivalent was 0.63 ± 1.53D (median, 0.75 D; range, -4.12 to 4.00D). In multivariate analysis, prevalence of AH was associated with elder age (P = 0.014, OR 1.057), thicker lens (P = 0.032, OR 3.887), higher spherical equivalent (P = 0.017, OR 1.396). Conclusions In adult Chinese in Beijing, the prevalence of AH was 0.9% for eyes or 1.6% for subjects. AH was associated with elder age, thicker lens, and higher spherical equivalent. It was not associated with diabetes or other systemic indicators.
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Affiliation(s)
- Chuan Zhang
- Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Lei Shao
- Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Li Dong
- Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Wen Da Zhou
- Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Rui Heng Zhang
- Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Wen Bin Wei
- Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
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Shao L, Zhang X, Hu T, Chen Y, Zhang C, Dong L, Ling S, Dong Z, Zhou WD, Zhang RH, Qin L, Wei WB. Prediction of the Fundus Tessellation Severity With Machine Learning Methods. Front Med (Lausanne) 2022; 9:817114. [PMID: 35360710 PMCID: PMC8960643 DOI: 10.3389/fmed.2022.817114] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 01/28/2022] [Indexed: 11/13/2022] Open
Abstract
Purpose To predict the fundus tessellation (FT) severity with machine learning methods. Methods A population-based cross-sectional study with 3,468 individuals (mean age of 64.6 ± 9.8 years) based on Beijing Eye Study 2011. Participants underwent detailed ophthalmic examinations including fundus images. Five machine learning methods including ordinal logistic regression, ordinal probit regression, ordinal log-gamma regression, ordinal forest and neural network were used. Main Outcome Measure FT precision, recall, F1-score, weighted-average F1-score and AUC value. Results Observed from the in-sample fitting performance, the optimal model was ordinal forest, which had correct classification rate (precision) of 81.28%, while 34.75, 93.73, 70.03, and 24.82% in each classified group by FT severity. The AUC value was 0.7249. And the F1-score was 65.05%, weighted-average F1-score was 79.64% on the whole dataset. For out-of-sample prediction performance, the optimal model was ordinal logistic regression, which had precision of 77.12% on the validation dataset, while 19.57, 92.68, 64.74, and 6.76% in each classified group by FT severity. The AUC value was 0.7187. The classification accuracy of light FT group was the highest, while that of severe FT group was the lowest. And the F1-score was 54.46%, weighted-average F1-score was 74.19% on the whole dataset. Conclusions The ordinal forest and ordinal logistic regression model had the strong prediction in-sample and out-sample performance, respectively. The threshold ranges of the ordinal forest model for no FT and light, moderate, severe FT were [0, 0.3078], [0.3078, 0.3347], [0.3347, 0.4048], [0.4048, 1], respectively. Likewise, the threshold ranges of ordinal logistic regression model were ≤ 3.7389, [3.7389, 10.5053], [10.5053, 13.9323], > 13.9323. These results can be applied to guide clinical fundus disease screening and FT severity assessment.
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Affiliation(s)
- Lei Shao
- Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Xiaomei Zhang
- School of Statistics, University of International Business and Economics, Beijing, China
| | - Teng Hu
- School of Banking and Finance, University of International Business and Economics, Beijing, China
| | - Yang Chen
- School of Statistics, University of International Business and Economics, Beijing, China
| | - Chuan Zhang
- Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Li Dong
- Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Saiguang Ling
- EVision Technology (Beijing) Co. LTD., Beijing, China
| | - Zhou Dong
- EVision Technology (Beijing) Co. LTD., Beijing, China
| | - Wen Da Zhou
- Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Rui Heng Zhang
- Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Lei Qin
- School of Statistics, University of International Business and Economics, Beijing, China
- Lei Qin
| | - Wen Bin Wei
- Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
- *Correspondence: Wen Bin Wei
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Shao L, Zhang C, Dong L, Zhou WD, Zhang RH, Wei WB. Prevalence and Associations of Vitreomacular Traction: The Beijing Eye Study. Int J Gen Med 2021; 14:7059-7064. [PMID: 34707397 PMCID: PMC8544120 DOI: 10.2147/ijgm.s333010] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 10/13/2021] [Indexed: 11/23/2022] Open
Abstract
Purpose To explore the prevalence and associations of vitreous macular traction (VMT) in Chinese population. Methods A population-based cross-sectional study with 3468 individuals (mean age of 64.6 ± 9.8 years) based on Beijing Eye Study 2011. Participants underwent detailed ophthalmic examinations, including spectral domain optical coherence tomography (SD-OCT). VMT was defined as abnormal posterior vitreous detachment with anatomical deformation of the fovea, which may include pseudocyst, macular schisis, cystoid macular edema, and subretinal fluid. Main Outcome Measure Prevalence of VMT. Results A VMT was detected in 151 (2.3%) eyes (prevalence rate (mean ± SE): 2.3± 0.2%; 95% CI: 1.9%, 2.7%) of 80 (2.4%) subjects (prevalence rate: 2.4± 0.3%; 95% CI: 1.9%, 2.9%). Mean age of all subjects with VMT was 70.1± 8.7 years (median, 70.0 years; range, 50–90 years), mean refractive error was −0.22 ± 2.38D (median, 0.25 D; range, −15.00 to 5.25D). In multivariate analysis, prevalence of VMT was associated with elder age (P=0.001, OR 1.06), female gender (P = 0.036, OR 1.77), subfoveal retinal thickness (P = 0.005, OR 1.01), and subfoveal choroidal thickness (P = 0.026, OR 0.10). Conclusion In adult Chinese in Greater Beijing, the prevalence of VMT was 2.3% for eyes or 2.4% for subjects. While it was associated with elder age, female gender, thicker subfoveal retinal thickness and thinner subfoveal choroidal thickness.
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Affiliation(s)
- Lei Shao
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Chuan Zhang
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Li Dong
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Wen Da Zhou
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Rui Heng Zhang
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Wen Bin Wei
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, People's Republic of China
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Wang BB, Hou LM, Zhou WD, Liu H, Tao W, Wu WJ, Niu PP, Zhang ZP, Zhou J, Li Q, Huang RH, Li PH. Genome-wide association study reveals a quantitative trait locus and two candidate genes on Sus scrofa chromosome 5 affecting intramuscular fat content in Suhuai pigs. Animal 2021; 15:100341. [PMID: 34425484 DOI: 10.1016/j.animal.2021.100341] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2020] [Revised: 07/22/2021] [Accepted: 07/23/2021] [Indexed: 12/14/2022] Open
Abstract
Intramuscular fat content (IFC) is an essential quantitative trait of meat, affecting multiple meat quality indicators. A certain amount of IFC could not only improve the sensory score of pork but also increase the flavour, tenderness, juiciness and shelf-life. To dissect the genetic determinants of IFC, two methods, including genome-wide efficient mixed-model analysis (GEMMA) and linkage disequilibrium adjusted kinships (LDAKs), were used to carry out genome-wide association studies for IFC in Suhuai pig population. A total of 14 and 18 significant single nucleotide polymorphisms (SNPs) were identified by GEMMA and LDAK, respectively. The results of these two methods were highly consistent and all 14 significant SNPs in GEMMA were detected by LDAK. Seven of the 18 SNPs reached the genome-wide significance level (P < 9.85E-07) while 11 cases reached the suggestive significance level (P < 1.77E-05). These significant SNPs were mainly distributed on Sus scrofa chromosome (SSC) 5, 3, and 7. Moreover, one locus resides in a 2.27 Mb (71.37-73.64 Mb) region on SSC5 harbouring 13 significant SNPs associated with IFC, and the lead SNP (rs81302978) also locates in this region. Linkage disequilibrium (LD) analysis showed that there were four pairs of complete LD (r2 = 1) among these 13 SNPs, and the remaining 9 SNPs with incomplete LD (r2 ≠ 1) were selected for subsequent analyses of IFC. Association analyses showed that 7 out of 9 SNPs were significantly associated with IFC (P < 0.05) in 330 Suhuai pigs, and the other 2 SNPs tended to reach a significant association level with IFC (P < 0.1). The phenotypic variance explained (PVE) range of these 9 SNPs was 0.92-3.55%. Meanwhile, the lead SNP was also significantly associated (rs81302978) with IFC (P < 0.05) in 378 commercial hybrid pigs (Pietrain × Duroc) × (Landrace × Yorkshire) (PDLY), and the PVE was 1.38%. Besides, two lipid metabolism-relevant candidate genes, the leucine rich repeat kinase 2 (LRRK2) and PDZ domain containing ring finger 4 (PDZRN4) were identified in the 2.27 Mb region on SSC5. In conclusion, our results may provide a set of markers useful for genetic improvement of IFC in pigs and will advance the genome selection process of IFC on pig breeding programmes.
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Affiliation(s)
- B B Wang
- Institute of Swine Science, Nanjing Agricultural University, Nanjing 210095, China; Huaian Academy, Nanjing Agricultural University, Huaian 223005, China
| | - L M Hou
- Institute of Swine Science, Nanjing Agricultural University, Nanjing 210095, China; Huaian Academy, Nanjing Agricultural University, Huaian 223005, China
| | - W D Zhou
- Institute of Swine Science, Nanjing Agricultural University, Nanjing 210095, China
| | - H Liu
- Institute of Swine Science, Nanjing Agricultural University, Nanjing 210095, China; Huaian Academy, Nanjing Agricultural University, Huaian 223005, China
| | - W Tao
- Institute of Swine Science, Nanjing Agricultural University, Nanjing 210095, China; Huaian Academy, Nanjing Agricultural University, Huaian 223005, China
| | - W J Wu
- Institute of Swine Science, Nanjing Agricultural University, Nanjing 210095, China
| | - P P Niu
- Huaian Academy, Nanjing Agricultural University, Huaian 223005, China
| | - Z P Zhang
- Huaian Academy, Nanjing Agricultural University, Huaian 223005, China
| | - J Zhou
- Huaiyin Pig Breeding Farm of Huaian City, Huaian 223322, China
| | - Q Li
- Huaiyin Pig Breeding Farm of Huaian City, Huaian 223322, China
| | - R H Huang
- Institute of Swine Science, Nanjing Agricultural University, Nanjing 210095, China; Huaian Academy, Nanjing Agricultural University, Huaian 223005, China
| | - P H Li
- Institute of Swine Science, Nanjing Agricultural University, Nanjing 210095, China; Huaian Academy, Nanjing Agricultural University, Huaian 223005, China.
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Shao L, Zhang QL, Long TF, Dong L, Zhang C, Da Zhou W, Wang YX, Wei WB. Quantitative Assessment of Fundus Tessellated Density and Associated Factors in Fundus Images Using Artificial Intelligence. Transl Vis Sci Technol 2021; 10:23. [PMID: 34406340 PMCID: PMC8383900 DOI: 10.1167/tvst.10.9.23] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Purpose This study aimed to quantitative assess the fundus tessellated density (FTD) and associated factors on the basis of fundus photographs using artificial intelligence. Methods A detailed examination of 3468 individuals was performed. The proposed method for FTD measurements consists of image preprocessing, sample labeling, deep learning segmentation model, and FTD calculation. Fundus tessellation was extracted as region of interest and then the FTD could be obtained by calculating the average exposed choroid area of per unit area of fundus. Besides, univariate and multivariate linear regression analysis have been conducted for the statistical analysis. Results The mean FTD was 0.14 ± 0.08 (median, 0.13; range, 0–0.39). In multivariate analysis, FTD was significantly (P < 0.001) associated with thinner subfoveal choroidal thickness, longer axial length, larger parapapillary atrophy, older age, male sex and lower body mass index. Correlation analysis suggested that the FTD increased by 33.1% (r = 0.33, P < .001) for each decade of life. Besides, correlation analysis indicated the negative correlation between FTD and spherical equivalent (SE) in the myopia participants (r = −0.25, P < 0.001), and no correlations between FTD and SE in the hypermetropia and emmetropic participants. Conclusions It is feasible and efficient to extract FTD information from fundus images by artificial intelligence–based imaging processing. FTD can be widely used in population screening as a new quantitative biomarker for the thickness of the subfoveal choroid. The association between FTD with pathological myopia and lower visual acuity warrants further investigation. Translational Relevance Artificial intelligence can extract valuable clinical biomarkers from fundus images and assist in population screening.
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Affiliation(s)
- Lei Shao
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Qing Lin Zhang
- Department of Neurosurgery, Tsinghua University Yuquan Hospital, Beijing, China
| | - Teng Fei Long
- Aerospace Information Research Institute, Chinese Academy of Sciences (CAS), Beijing, China
| | - Li Dong
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Chuan Zhang
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Wen Da Zhou
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Ya Xing Wang
- Beijing Institute of Ophthalmology, Beijing Ophthalmology & Visual Science Key Lab, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Wen Bin Wei
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
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Jiang JF, Song XM, Huang X, Zhou WD, Wu JL, Zhu ZG, Zheng HC, Jiang YQ. Effects of alfalfa meal on growth performance and gastrointestinal tract development of growing ducks. Asian-Australas J Anim Sci 2014; 25:1445-50. [PMID: 25049501 PMCID: PMC4093017 DOI: 10.5713/ajas.2012.12190] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/11/2012] [Revised: 07/02/2012] [Accepted: 05/30/2012] [Indexed: 11/27/2022]
Abstract
A study was conducted to evaluate effects of alfalfa meal on growth performance and gastrointestinal tract development of growing layer ducks to provide evidence for application of alfalfa meal in the duck industry. Two hundred and fifty-six healthy Shaoxing 7-wk old growing layer ducks were selected and randomly allocated to 1 of 4 dietary treatments based on corn and soybean meal and containing 0, 3, 6, and 9% of alfalfa meal for 8 wks. Each treatment consisted of 4 replicates of 16 ducks each. Briefly, birds were raised in separate compartments, and each compartment consisted of three parts: indoor floor house, adjacent open area and a connecting water area. The results showed: i) Growing ducks fed alfalfa meal diet were not significantly different in average daily gain, feed intake and gain-to-feed ratio from those fed no alfalfa diet (p>0.05). ii) Alfalfa meal increased the ratio crop, gizzard to live weight, caecum to live weight, the caecum index of growing ducks (p<0.05). iii) Villus height in duodenum and jejunum of growing ducks increased significantly with the increase of alfalfa meal levels (p<0.05). Crypt depth in duodenum and jejunum of growing ducks decreased significantly with the increase of alfalfa meal levels (p<0.05). This experiment showed that feeding of alfalfa meal to growing layer ducks could improve gastrointestinal tract growth and small intestinal morphology without effect on performance. This experiment provides evidence that alfalfa meal is a very valuable feedstuff for growing layer ducks.
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Affiliation(s)
- J F Jiang
- National Shaoxing Duck Breeding Farm, Shaoxing, 312000, Zhejiang, China
| | - X M Song
- National Shaoxing Duck Breeding Farm, Shaoxing, 312000, Zhejiang, China
| | - X Huang
- National Shaoxing Duck Breeding Farm, Shaoxing, 312000, Zhejiang, China
| | - W D Zhou
- National Shaoxing Duck Breeding Farm, Shaoxing, 312000, Zhejiang, China
| | - J L Wu
- National Shaoxing Duck Breeding Farm, Shaoxing, 312000, Zhejiang, China
| | - Z G Zhu
- National Shaoxing Duck Breeding Farm, Shaoxing, 312000, Zhejiang, China
| | - H C Zheng
- National Shaoxing Duck Breeding Farm, Shaoxing, 312000, Zhejiang, China
| | - Y Q Jiang
- National Shaoxing Duck Breeding Farm, Shaoxing, 312000, Zhejiang, China
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Zhou WD, Liu B, Yu SK, Hua W. Rarefied-gas heat transfer in micro- and nanoscale Couette flows. Phys Rev E Stat Nonlin Soft Matter Phys 2010; 81:011204. [PMID: 20365361 DOI: 10.1103/physreve.81.011204] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2008] [Revised: 11/06/2009] [Indexed: 05/29/2023]
Abstract
The physics of the heat conduction and viscous dissipation in rarefied gases is analyzed and discussed. A heat transfer model valid for arbitrary Knudsen numbers, defined as the ratio of the molecular mean free path to the characteristic length of channels, is derived by treating the heat transfer behavior in the slip and transition regimes as an intermediate function of continuum heat transfer model and free molecular heat transfer model. Comparison studies reveal that this model not only shows good agreement with the numerical results based on the direct simulation Monte Carlo method, but also has some unique features that can overcome the deficiencies existing in the previous models. Therefore, this model is capable to study the heat transport phenomena in very dilute gas Couette flows through micro/nanochannels more accurately.
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Affiliation(s)
- W D Zhou
- Data Storage Institute, (A*STAR) Agency for Science, Technology and Research, Singapore 117608, Singapore
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14
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Xu ZY, Zhu YW, Zhou WD. [Clinical and experimental study on effect of shuanghuang shengbai granule on myelosuppression induced by chemotherapy and ultrastructure observation of bone marrow in mice]. Zhongguo Zhong Xi Yi Jie He Za Zhi 2001; 21:328-31. [PMID: 12577413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/28/2023]
Abstract
OBJECTIVE To observe the leukocyte increasing effects of Shaunghuang Shengbai Granule (SHSBG) in tumor patients treated by chemotherapy (CT) and its function on bone marrow hematopoietic microenvironment in mice. METHODS Patients of non-small-cell lung cancer and breast, gastric or intestinal cancer, who were retreated with CT, were enrolled and divided into 4 groups randomly. The 28 cases in the treated group 1 received SHSBG and CT simultaneously. The 27 cases in the treated group 2 also received firstly CT, and SHSBG started when WBC count lowered to less than 4 x 10(9)/L after CT. The control group 1 and 2 (n = 33 and n = 24) was treated by the method similar to that applied to the treated group 1 and 2 respectively but with Rubidate instead of SHSBG. Experimental study of observing bone marrow ultrastructure in mice was also conducted with electron microscopy. RESULTS The total leukocyte increasing effective rate occurred in the treated group 1 was 75.00%, that in the treated group 2 was 88.89%, in the control group 1 was 54.55% and in the control group 2 was 58.33%. There was significant difference between the treated groups and the control groups (P < 0.01). Experimental study showed that SHSBG has good bone marrow hematopoietic microenvironmental protecting and improving effect in mice. CONCLUSION SHSBG has obvious protecting and treating effect on CT caused bone marrow suppression in tumor patients.
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Affiliation(s)
- Z Y Xu
- Department of Oncology, Longhua Hospital, Shanghai University of TCM, Shanghai 200032
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Amenomori M, Ayabe S, Cao PY, Ding LK, Feng ZY, Fu Y, Guo HW, He M, Hibino K, Hotta N, Huang Q, Huo AX, Izu K, Jia HY, Kajino F, Kasahara K, Katayose Y, Li JY, Lu H, Lu SL, Luo GX, Meng XR, Mizutani K, Mu J, Nanjo H, Nishizawa M, Ohnishi M, Ohta I, Ouchi T, Ren JR, Saito T, Sakata M, Sasaki T, Shi ZZ, Shibata M, Shiomi A, Shirai T, Sugimoto H, Taira K, Tan YH, Tateyama N, Torii S, Utsugi T, Wang CR, Wang H, Xu XW, Yamamoto Y, Yu GC, Yuan AF, Yuda T, Zhang CS, Zhang HM, Zhang JL, Zhang NJ, Zhang XY, Zhou WD, Collaboration) T. Observation of Multi-TeV Gamma Rays from the Crab Nebula using the Tibet Air Shower Array. Astrophys J 1999; 525:L93-L96. [PMID: 10525462 DOI: 10.1086/312342] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
The Tibet experiment, operating at Yangbajing (4300 m above sea level), is the lowest energy air shower array, and the new high-density array constructed in 1996 is sensitive to gamma-ray air showers at energies as low as 3 TeV. With this new array, the Crab Nebula was observed in multi-TeV gamma-rays and a signal was detected at the 5.5 sigma level. We also obtained the energy spectrum of gamma-rays in the energy region above 3 TeV which partially overlaps those observed with imaging atmospheric Cerenkov telescopes. The Crab spectrum observed in this energy region can be represented by the power-law fit dJ&parl0;E&parr0;&solm0;dE=&parl0;4.61+/-0.90&parr0;x10-12&parl0;E&solm0;3 TeV&parr0;-2.62+/-0.17 cm-2 s-1 TeV-1. This is the first observation of gamma-ray signals from point sources with a conventional air shower array using scintillation detectors.
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Meng FH, He QY, Chi XS, Zhou WD, Zhang HQ, Xue SB. [Effects of differentiation status on apoptosis of human leukemia HL60 cells]. Yao Xue Xue Bao 1997; 32:496-501. [PMID: 11596273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/21/2023]
Abstract
The effects of differentiation of human leukemia HL60 cells on harringtonine(Har) and camptothecin(Cam) induced apoptosis(in these cells) were studied. When treated with phorbol 12-myriate, 13-acetate 16 nmol.L-1 for 24 h, the HL60 cells differentiated into monocyte/macrophage cells and were arrested at G1 phase. The differentiated cells were shown to be resistant to the Har and Cam induced apoptosis, but showed no change of expression of c-myc gene. HL60 cells incubated in 1.4% dimethyl sulfoxide for 48 h differentiated into granulocyte cells and were also gene arrested at G1 phase. The differentiated cells became resistant to the apoptosis induced by Cam, but not that by Har, and expression of c-myc decreased drastically in the differentiated cells. The results indicate that the differentiated status of human leukemia HL60 cells apparently affected the apoptosis induced by harringtonine and camptothecin, but it was irrelevant to the change of the expression of c-myc gene.
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Affiliation(s)
- F H Meng
- Department of Biology, Beijing Normal University, Beijing 100875
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17
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Zhou WD, Zhang HQ, Fang M, Xue SB. Correlation between expression of mdr-1 gene and oncogenes in human promyelocytic leukemic HL60 cell line and sublines. Zhongguo Yao Li Xue Bao 1996; 17:471-3. [PMID: 9863178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 04/11/2023]
Abstract
AIM To study the relationship between expression of oncogenes and multiple drug resistant (MDR) phenotype. METHODS The drug resistant level of HL60 cell line and its sublines were determined with flow cytometry. RNA Dot blot hybridization was used to identify the expression of oncogenes and mdr-1 gene. RESULTS The expression of mdr-1 gene was in the opposite relation with c-myc expression, but in the positive relation with c-H-ras gene expression in the multiple drug resistant cell lines. In non-MDR cell line HL60/RA, the expression levels of mdr-1, c-myc, and c-H-ras were the same as HL60 parental cells. CONCLUSION Multiple drug resistance is related to not only mdr-1 expression, but also some oncogenes expression level.
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Affiliation(s)
- W D Zhou
- Department of Biology, Beijing Normal University, China
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He QY, Zhou WD, Ji L, Zhang HQ, He NG, Xue SB. Characteristics of harringtonine-resistant human leukemia HL60 cell. Zhongguo Yao Li Xue Bao 1996; 17:463-7. [PMID: 9863176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Abstract
AIM To study the mechanisms of the resistance to harringtonine (Har) in the HL60 cells. METHODS Growth inhibition, karyotype analysis, flow cytometry, Western blotting and polymerase chain reaction. RESULTS The Har-resistant HL60 cell line, named HR20, showed cross resistance to homoharringtonine, doxorubicin, daunorubicin, vincristine, and colchicine. The growth doubling time and the cell numbers in G1 phase were increased. The accumulation of cellular daunorubicin in the resistant cells was obviously reduced, but distinctly increased by tetrandrine and verapamil. The numbers of telocentromeric chromosome increased and the chromosomal aberration more occured in the resistant cells. The resistant cells overexpressed multidrug resistant mdr-1 gene and P-glycoprotein 150 kDa. CONCLUSION The Har-resistant HL60 cell strain belonged to a multidrug resistance strain, overexpressing mdr-1 gene and P-glycoprotein.
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Affiliation(s)
- Q Y He
- Department of Biology, Beijing Normal University, China
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Abstract
Poliovirus (PV) 2C protein is a nonstructural polypeptide involved in viral RNA replication, whose biochemical activity(ies) in this process has not been defined. By using site-directed mutagenesis, it was shown previously that disruption of nucleotide-binding motifs present in this protein abolished viral RNA synthesis (C. Mirzayan and E. Wimmer, Virology 189:547-555, 1992; N. L. Teterina, K. M. Kean, E. Gorbalenya, V. I. Agol, and M. Girard, J. Gen. Virol. 73:1977-1986, 1992). We have tested whether PV 2C or 2BC protein provided in trans could rescue the replication of these mutated genomes. Rescuing proteins were provided either by cotransfection with helper chimeric PV-coxsackievirus genomes or by expression in cells with a vaccinia virus-T7 RNA polymerase transient-expression system. We report here that replication of mutated RNAs genomes was poorly supported in trans both by helper genomes and by expressed 2C or 2BC proteins. Similarly, very inefficient complementation was observed for two mutated genomes with lethal lesions in 3D polymerase coding sequence. Our results indicate that poliovirus RNA replication shows marked preference for proteins contributed in cis.
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Affiliation(s)
- N L Teterina
- Department of Molecular Biology and Biochemistry, School of Biological Sciences, University of California, Irvine 92717, USA
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Kong XM, Zhou WD, Xia JJ. [Replacement of complete denture: Technical note]. Shanghai Kou Qiang Yi Xue 1993; 2:91. [PMID: 15159856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 04/29/2023]
Affiliation(s)
- X M Kong
- Department of Dentistry, Huadong Hospital. Shanghai 200040,China
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21
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Amenomori M, Cao Z, Ding LK, Feng ZY, Hibino K, Hotta N, Huang Q, Huo AX, Jia HY, Jiang GZ, Jiao SQ, Kajino F, Kasahara K, Mei DM, Meng L, Meng XR, Mizutani K, Mu J, Nanjo H, Nishizawa M, Oguro A, Ohnishi M, Ohta I, Ren JR, Saito T, Sakata M, Shi ZZ, Shibata M, Shirai T, Sugimoto H, Sun XX, Tai A, Taira K, Tan YH, Tateyama N, Torii S, Wang H, Wen CZ, Yamamoto Y, Yao XY, Yu GC, Yuan P, Yuda T, Zeng JG, Zhang CS, Zhang HM, Zhang L, Zhou WD. Cosmic-ray deficit from the directions of the Moon and the Sun detected with the Tibet air-shower array. Phys Rev D Part Fields 1993; 47:2675-2681. [PMID: 10015867 DOI: 10.1103/physrevd.47.2675] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
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22
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Amenomori M, Cao Z, Ding LK, Feng ZY, Hibino K, Hotta N, Huang Q, Huo AX, Jia HY, Jiang GZ, Jiao SQ, Kajino F, Kasahara K, Mei DM, Meng L, Meng XR, Mizutani K, Mu J, Nanjo H, Nishizawa M, Oguro A, Ohnishi M, Ohta I, Ren JR, Saito T, Sakata M, Shi ZZ, Shibata M, Shirai T, Sugimoto H, Sun XX, Tai A, Taira K, Tan YH, Tateyama N, Torii S, Wang H, Wen CZ, Yamamoto Y, Yao XY, Yu GC, Yuan P, Yuda T, Zeng JG, Zhang CS, Zhang HM, Zhang L, Zhou WD. Search for steady emission of 10-TeV gamma rays from the Crab Nebula, Cygnus X-3, and Hercules X-1 using the Tibet air shower array. Phys Rev Lett 1992; 69:2468-2471. [PMID: 10046502 DOI: 10.1103/physrevlett.69.2468] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
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23
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Tindle RW, Zhou WD, Saul A, Frazer IH. The molecular specificity of linear B-epitopes in the E7 open reading frame protein of human papillomavirus 16 defined by monoclonal antibodies. Pept Res 1990; 3:162-6. [PMID: 1724617] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Human papillomavirus (HPV) 16 is highly associated with premalignant and malignant anogenital epithelial lesions. The transforming function resides within the viral E7 open reading frame protein. We have defined three immunodominant linear B-epitopes in the E7 protein. In the present study, we determine the contribution of individual amino acid residues to antibody binding of these three epitopes using replacement set analysis. In this approach, each epitope residue is substituted in turn by each of the other 19 genetically encoded amino acids to produce analogues which are tested for specific monoclonal antibody binding. We demonstrate the specificity of the monoclonal antibodies for epitopes of HPV 16 E7 in binding studies using synthetic epitope analogues of other HPV genotypes. Comparison between HPV 16 and other HPV genotypes suggests that variability in amino acid composition at the E7 epitopic sites does not appear to be host-antibody driven.
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Affiliation(s)
- R W Tindle
- Lions Human Immunology Laboratories, Princess Alexandra Hospital, Brisbane, Queensland, Australia
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24
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Ren JR, Huo AX, Lu SL, Su S, Wang CR, Zhang NJ, Cao PY, Zou BT, Li JY, Wang SZ, Bai GZ, Liu ZH, Li GJ, Geng QX, Zhou WD, He RD, Amenomori M, Nanjo H, Hotta N, Ohta I, Mizutani K, Kasahara K, Yuda T, Shibata M, Shirai T, Tateyama N, Torii S, Sugimoto H, Taira K. Primary-cosmic-ray protons above 1015 eV derived from the observation of superhigh-energy halo events. Phys Rev D Part Fields 1988; 38:1426-1432. [PMID: 9959288 DOI: 10.1103/physrevd.38.1426] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
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25
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Ren JR, Huo AX, Lu SL, Su S, Wang CR, Chang NJ, Cao PY, Li JY, Zou BT, Wang SZ, Bai GZ, Liu ZH, Li GJ, Geng QX, He RD, Zhou WD, Amenomori M, Nanjo H, Hotta N, Ohta I, Mizutani K, Kasahara K, Yuda T, Shirai T, Tateyama N, Torii S, Shibata M, Sugimoto H, Taira K. Hadronic interactions and primary-cosmic-ray composition at energies around 10(15)-10(16) eV derived from the analysis of high-energy gamma families. Phys Rev D Part Fields 1988; 38:1404-1416. [PMID: 9959286 DOI: 10.1103/physrevd.38.1404] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
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Ren JR, Huo AX, Lu SL, Su S, Wang CR, Chang NJ, Cao PY, Li JY, Zou BT, Wang SZ, Bai GZ, Liu ZH, Li GJ, Geng QX, He RD, Zhou WD, Amenomori M, Nanjo H, Hotta N, Ohta I, Mizutani K, Kasahara K, Yuda T, Shirai T, Tateyama N, Torii S, Shibata M, Sugimoto H, Taira K. Properties of hadron families observed with thick-type emulsion chambers at Mts. Kanbala and Fuji and search for Centauro events. Phys Rev D Part Fields 1988; 38:1417-1425. [PMID: 9959287 DOI: 10.1103/physrevd.38.1417] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
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Wang YF, Zhou WD, Liu JX, Fi C, Zhu WX, Chen YZ, Yan LM, Shen GS, Wu YE, Zhu W. Prostaglandin E and F2 alpha levels in plasma and amniotic fluid during mid-trimester abortion induced by trichosanthin. Prostaglandins 1981; 22:289-94. [PMID: 6945634 DOI: 10.1016/0090-6980(81)90043-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
This paper gives a brief account concerning the estimation of PGE and PGF2 alpha concentrations in both plasma and amniotic fluid by radioimmunoassay in mid-trimester abortion induced by Trichosanthin. The significant change in amniotic fluids as compared with that in plasma is brought out for discussion as an aid to the study of mechanism of abortion by Trichosanthin.
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