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Zhang HJ, Liu XB, Chen XM, Kong QH, Liu YS, So KF, Chen JS, Xu Y, Mi XS, Tang SB. Lutein delays photoreceptor degeneration in a mouse model of retinitis pigmentosa. Neural Regen Res 2021; 17:1596-1603. [PMID: 34916446 PMCID: PMC8771084 DOI: 10.4103/1673-5374.330622] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [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] [Indexed: 11/22/2022] Open
Abstract
Retinitis pigmentosa is a retinal disease characterized by photoreceptor degeneration. There is currently no effective treatment for retinitis pigmentosa. Although a mixture of lutein and other antioxidant agents has shown promising effects in protecting the retina from degeneration, the role of lutein alone remains unclear. In this study, we administered intragastric lutein to Pde6brd10 model mice, which display degeneration of retinal photoreceptors, on postnatal days 17 (P17) to P25, when rod apoptosis reaches peak. Lutein at the optimal protective dose of 200 mg/kg promoted the survival of photoreceptors compared with vehicle control. Lutein increased rhodopsin expression in rod cells and opsin expression in cone cells, in line with an increased survival rate of photoreceptors. Functionally, lutein improved visual behavior, visual acuity, and retinal electroretinogram responses in Pde6brd10 mice. Mechanistically, lutein reduced the expression of glial fibrillary acidic protein in Müller glial cells. The results of this study confirm the ability of lutein to postpone photoreceptor degeneration by reducing reactive gliosis of Müller cells in the retina and exerting anti-inflammatory effects. This study was approved by the Laboratory Animal Ethics Committee of Jinan University (approval No. LACUC-20181217-02) on December 17, 2018.
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Affiliation(s)
- Hui-Jun Zhang
- Department of Ophthalmology, The First Affiliated Hospital of Jinan University; Department of Ophthalmology, Guangzhou Panyu Central Hospital, Guangzhou, Guangdong Province, China
| | - Xiao-Bin Liu
- Guangdong-Hong Kong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou, Guangdong Province, China
| | - Xiong-Min Chen
- Guangdong-Hong Kong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou, Guangdong Province, China
| | - Qi-Hang Kong
- Department of Ophthalmology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province, China
| | - Yu-Sang Liu
- Guangdong-Hong Kong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou, Guangdong Province, China
| | - Kwok-Fai So
- Guangdong-Hong Kong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou, Guangdong Province; Aier Academician Station, Changsha, Hunan Province; Key Laboratory of CNS Regeneration (Jinan University), Ministry of Education, Guangzhou, Guangdong Province; Co-Innovation Center of Neuroregeneration, Nantong University, Nantong, Jiangsu Province, China
| | - Jian-Su Chen
- Department of Ophthalmology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province; Laboratory of Retinal Cell Biology, Aier Eye Institute; Aier Academician Station, Changsha, Hunan Province, China
| | - Ying Xu
- Guangdong-Hong Kong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou, Guangdong Province; Aier Academician Station, Changsha, Hunan Province; Key Laboratory of CNS Regeneration (Jinan University), Ministry of Education, Guangzhou, Guangdong Province; Co-Innovation Center of Neuroregeneration, Nantong University, Nantong, Jiangsu Province, China
| | - Xue-Song Mi
- Department of Ophthalmology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province; Aier Academician Station, Changsha, Hunan Province, China
| | - Shi-Bo Tang
- Laboratory of Retinal Cell Biology, Aier Eye Institute; Aier Academician Station, Changsha, Hunan Province, China
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Bao Y, Ming WK, Mou ZW, Kong QH, Li A, Yuan TF, Mi XS. Current Application of Digital Diagnosing Systems for Retinopathy of Prematurity. Comput Methods Programs Biomed 2021; 200:105871. [PMID: 33309305 DOI: 10.1016/j.cmpb.2020.105871] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Accepted: 11/18/2020] [Indexed: 06/12/2023]
Abstract
BACKGROUND AND OBJECTIVE Retinopathy of prematurity (ROP), a proliferative vascular eye disease, is one of the leading causes of blindness in childhood and prevails in premature infants with low-birth-weight. The recent progress in digital image analysis offers novel strategies for ROP diagnosis. This paper provides a comprehensive review on the development of digital diagnosing systems for ROP to software researchers. It may also be adopted as a guide to ophthalmologists for selecting the most suitable diagnostic software in the clinical setting, particularly for the remote ophthalmic support. METHODS We review the latest literatures concerning the application of digital diagnosing systems for ROP. The diagnosing systems are analyzed and categorized. Articles published between 1998 and 2020 were screened with the two searching engines Pubmed and Google Scholar. RESULTS Telemedicine is a method of remote image interpretation that can provide medical service to remote regions, and yet requires training to local operators. On the basis of image collection in telemedicine, computer-based image analytical systems for ROP were later developed. So far, the aforementioned systems have been mainly developed by virtue of classic machine learning, deep learning (DL) and multiple machine learning. During the past two decades, various computer-aided systems for ROP based on classic machine learning (e.g. RISA, ROPtool, CAIER) became available and have achieved satisfactory performance. Further, automated systems for ROP diagnosis based on DL are developed for clinical applications and exhibit high accuracy. Moreover, multiple instance learning is another method to establish an automated system for ROP detection besides DL, which, however, warrants further investigation in future. CONCLUSION At present, the incorporation of computer-based image analysis with telemedicine potentially enables the detection, supervision and in-time treatment of ROP for the preterm babies.
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Affiliation(s)
- Yuekun Bao
- Department of Ophthalmology, the First Affiliated Hospital of Jinan University, Guangzhou, China; State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Wai-Kit Ming
- Clinical Medicine, International School, Jinan University, Guangzhou, China
| | - Zhi-Wei Mou
- Department of Rehabilitation, the First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Qi-Hang Kong
- Department of Ophthalmology, the First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Ang Li
- Guangdong - Hong Kong - Macau Institute of CNS Regeneration, Joint International Research Laboratory of CNS Regeneration Ministry of Education, Jinan University, Guangzhou, China; Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, China.
| | - Ti-Fei Yuan
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.
| | - Xue-Song Mi
- Department of Ophthalmology, the First Affiliated Hospital of Jinan University, Guangzhou, China; Changsha Academician Expert Workstation, Aier Eye Hospital Group, Changsha, China.
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Abstract
AIM To discuss the effects and mechanism of microRNA-34a in cell apoptosis induced by osteoarthritis. METHODS Collection of the normal and osteoarthritis synovial tissues and measurements of the miRNA-34a and TGIF2 gene expression. In the cell experiment, the cells were divided into Control, Blank and miRNA inhibitor group. The cell proliferation and apoptosis of the different groups were measured by MTT and flow cytometry and the TGIF2 protein expression in the different groups was evaluated by WB assay. The correlation between TGIF2 and miRNA-34a was analyzed by Double luciferase experiment. RESULTS Compared with normal synovial tissues, the miRNA-34a gene expression was significantly up-regulated and TGIF2 gene expression was significantly suppressed in osteoarthritis synovial tissues (p < 0.001, respectively). The cell proliferation was significantly depressed and the cell apoptosis rate was significantly increased in miRNA inhibitor group compared with the Control group (p < 0.001, respectively). Using the WB assay it was shown that the TGIF2 protein expression of miRNA inhibitor group was significantly suppressed compared with that of Control group (p < 0.01). By Double luciferase assay, TGIF2 gene was one target gene of miRNA-34a. CONCLUSION miRNA-34a could induce osteoarthritis synovial cell apoptosis via regulation of TGIF2 in vitro (Fig. 6, Ref. 29).
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Luo C, Liang JS, Gong J, Zhang HL, Feng ZJ, Yang HT, Zhang HB, Kong QH. miRNA-31 over-expression improve synovial cells apoptosis induced by RA. ACTA ACUST UNITED AC 2018; 119:355-360. [PMID: 29947235 DOI: 10.4149/bll_2018_066] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
OBJECTIVE The aim of this study was to evaluate the effects and mechanism of miRNA-31 in synovial cells apoptosis induced by RA. METHODS The miRNA-31 gene expressions were extracted from synovial tissues of normal and RA patients by RT-PCR and H et E staining. The synovial cells of RA patients were isolated and randomly divided into Control, Blank and miRNA groups. The cell apoptosis of difference groups were measured by flow cytometry; the TNF-α and IL-1β concentrations of difference groups were measured by Elisa assay; TLR4 and NF-κB proteins expressions were measured by WB assay and the correlation between TLR4 and miRNA-31 were evaluated by double luciferase target experiment. RESULTS The miRNA-31 gene expression was significantly suppressed in RA tissues (p<0.001); Compared with control group, the cell apoptosis rate of miRNA group was significantly suppressed (p<0.001); TNF-α and IL-1β concentrations were significantly down-regulation in culture fluid (p<0.001, respectively) and TLR4 and NF-κB proteins expressions were significantly depressed (p<0.001, respectively) in miRNA group. By double luciferase target experiment, the TLR4 was a target gene of miRNA-31. CONCLUSION miRNA-31 is a key role in synovial cells apoptosis induced by RA (Fig. 7, Ref. 23).
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Zhu ZM, Jia XM, Chai JK, Gao WY, Kong QH. Clinical use of homograft stored by vitrification. Chin Med J (Engl) 1994; 107:574-6. [PMID: 7805439] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
Using 20% DMSO and 6% propylene glycol in Kreb' Ringer phosphate solution as cryopotective agent for homograft vitrification storage, the viability of stored homograft (79.2%) was higher than that of slow cooling storage (59.7%). About 540000 cm2 of vitrified homograft were used to cover the wounds after excision of burn eschar in 135 patients with major burns. The take-rate was over 94%. The cryopreservation of skin by vitrification can improve the viability and quality of skin and save time and cost.
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Affiliation(s)
- Z M Zhu
- Burn Unit, 304th Hospital, Beijing
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Ji SG, Kong QH, Li XL, Li P. Gas chromatographic determination of mexiletine in human plasma with flame ionization detection after reaction with carbon disulphide. Biomed Chromatogr 1993; 7:196-9. [PMID: 8219696 DOI: 10.1002/bmc.1130070405] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
A gas chromatographic method for the determination of mexiletine in human plasma is described. Mexiletine was simultaneously extracted and derivatized with carbon disulphide for separation and quantitation on a glass column (1.5 m x 3 mm i.d.) packed with 1.5% OV-1 coated on 80-100 mesh Shimalite W (201D). The method required only 0.5 mL of plasma and could detect as little as 10 ng of mexiletine. It has been applied to the study of the pharmacokinetics of mexiletine in healthy volunteers.
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Affiliation(s)
- S G Ji
- Department of Medicine, Hospital 401, Qingdao, People's Republic of China
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