A Review on Recent Developments for Detection of Diabetic Retinopathy

Amin, Javeria; Sharif, Muhammad; Yasmin, Mussarat

doi:10.1155/2016/6838976

Cited by 102 publications

(57 citation statements)

References 91 publications

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“…An epidemiological survey showed that the prevalence rate of DR in China has increased on a yearly basis [2]. DR is caused by alterations in the retinal micro vasculature in diabetic patients, and retina neovascularization is one of the most significant clinical properties of proliferative diabetic retinopathy (PDR) [3]. Therefore, anti-neovascularization strategies are the only effective form of therapy for PDR.…”

Section: Introductionmentioning

confidence: 99%

Transthyretin Exerts Pro-Apoptotic Effects in Human Retinal Microvascular Endothelial Cells Through a GRP78-Dependent Pathway in Diabetic Retinopathy

Shao

Yin

et al. 2017

Cell Physiol Biochem

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Background/Aims: Diabetic retinopathy (DR) is one of the main causes of blindness in the world. Our previous study showed that transthyretin (TTR) regulates key genes in the Tie2 pathway and inhibits the development of neovascularization in DR, but the mechanism is still unclear. Here, we investigated how TTR affects the progression of neovascularization in DR. Methods: Natural and simulated DR media (hyperglycemia and hypoxia) were used to culture human retinal microvascular endothelial cells (hRECs). Flow cytometry was employed to investigate the effect of TTR on apoptosis of hRECs. Fluorescent labeling and immunofluorescence staining were used to determine the TTR distribution in hRECs. The membrane proteins of hRECs were extracted and applied to a sepharose-TTR column, and the captured proteins were identified by Mass Spectrometric analysis. Gene knock-down and western blotting assays were used to study the key signal pathway of the most abundant identified protein. Results: TTR induced apoptosis of hRECs in an environment that simulated hypoxia. Immunofluorescent staining showed that TTR could enter the nuclei of hRECs. A total of 30 unique TTR-captured proteins were identified by Mass Spectrometry, and glucoseregulated protein 78 (GRP78) was one of the most abundant. Western blotting and gene knock-down indicated that TTR might upregulate GRP78 and facilitate apoptosis through the eIF2α/CHOP pathway. Conclusions: In the DR environment (hyperglycemia and hypoxia), TTR was shown to repress neovascularization by promoting apoptosis of hRECs through a GRP78-dependent pathway.

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Section: Introductionmentioning

confidence: 99%

Transthyretin Exerts Pro-Apoptotic Effects in Human Retinal Microvascular Endothelial Cells Through a GRP78-Dependent Pathway in Diabetic Retinopathy

Shao

Yin

et al. 2017

Cell Physiol Biochem

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“…In computer aided diagnosis for retinal diseases, the precise retinal blood vessel segmentation process is compulsory such as Amin, Sharif, and Yasmin (), Amin, Sharif, Yasmin, Ali, and Fernandes (), Qureshi, Sharif, Yasmin, Raza, and Javed (), Shabbir, Sharif, Nisar, Yasmin, and Fernandes (), Akbar, Akram, Sharif, Tariq, & ullah Yasin (),Akbar, Akram, Sharif, Tariq, and Khan (), and Akbar, Akram, Sharif, Tariq, and ullah Yasin (). The article explains an analysis of segmentation methods for retinal vessel through which the readers can understand the existing literature and provides a framework of existing research which will provide a foundation for future research and publicly available databases for different users in research.…”

Section: Resultsmentioning

confidence: 99%

Automated techniques for blood vessels segmentation through fundus retinal images: A review

Akbar

Sharif

Akram

et al. 2019

Microscopy Res & Technique

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Retina is the interior part of human's eye, has a vital role in vision. The digital image captured by fundus camera is very useful to analyze the abnormalities in retina especially in retinal blood vessels. To get information of blood vessels through fundus retinal image, a precise and accurate vessels segmentation image is required. This segmented blood vessel image is most beneficial to detect retinal diseases. Many automated techniques are widely used for retinal vessels segmentation which is a primary element of computerized diagnostic systems for retinal diseases. The automatic vessels segmentation may lead to more challenging task in the presence of lesions and abnormalities. This paper briefly describes the various publicly available retinal image databases and various machine learning techniques. State of the art exhibited that researchers have proposed several vessel segmentation methods based on supervised and supervised techniques and evaluated their results mostly on publicly datasets such as digital retinal images for vessel extraction and structured analysis of the retina. A comprehensive review of existing supervised and unsupervised vessel segmentation techniques or algorithms is presented which describes the philosophy of each algorithm. This review will be useful for readers in their future research. K E Y W O R D S retinal blood vessels, retinal diseases, retinal image databases, supervised techniques, unsupervised techniques

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“…Other restorative difficulties most often result in this sort of glaucoma (Giaconi et al, 2016 (Akbar, Akram, Sharif, Tariq, & Yasin, 2018;Amin, Sharif, Yasmin, Ali, & Fernandes, 2017;Amin et al, 2016;Station, 2007).…”

Section: Secondary Glaucomamentioning

confidence: 99%

“…The factors considered to detect glaucoma include neuro‐retinal rim notching, peripapillary atrophy, RNFL, neuroretinal rim thinning, the optic cup‐to‐disc ratio (CDR), disc haemorrhage and inter‐eye asymmetry defect. The persons suffering from hyperlipidemia, the chances of glaucoma and diabetic retinopathy are enhanced (Akbar, Akram, Sharif, Tariq, & Yasin, ; Amin, Sharif, Yasmin, Ali, & Fernandes, ; Amin et al, ; Station, ).…”

Section: Introductionmentioning

confidence: 99%

Fundus image classification methods for the detection of glaucoma: A review

Saba

Bokhari

Sharif

et al. 2018

Microscopy Res & Technique

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Glaucoma is a neurodegenerative illness and is considered as a standout amongst the most widely recognized reasons for visual impairment. Nerve's degeneration is an irretrievable procedure, so the diagnosis of the illness at an early stage is an absolute requirement to stay away from lasting loss of vision. Glaucoma effected mainly because of increased intraocular pressure, if it is not distinguished and looked early, it can result in visual impairment. There are not generally evident side effects of glaucoma; thus, patients attempt to get treatment just when the seriousness of malady is advanced altogether. Determination of glaucoma often comprises of review of the basic crumbling of the nerve in conjunction with the examination of visual function capacity. This article shows the persistent illustration of glaucoma, its side effects, and the potential people inclined to this malady. The essence of this article is on different classification methods being utilized and proposed by various scientists for the identification of glaucoma. This article audits a few division and segmentation methodologies that are exceptionally useful for recognizable proof, identification, and diagnosis of glaucoma. The research related to the findings and the treatment is likewise evaluated in this article.

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A Review on Recent Developments for Detection of Diabetic Retinopathy

Cited by 102 publications

References 91 publications

Transthyretin Exerts Pro-Apoptotic Effects in Human Retinal Microvascular Endothelial Cells Through a GRP78-Dependent Pathway in Diabetic Retinopathy

Transthyretin Exerts Pro-Apoptotic Effects in Human Retinal Microvascular Endothelial Cells Through a GRP78-Dependent Pathway in Diabetic Retinopathy

Automated techniques for blood vessels segmentation through fundus retinal images: A review

Fundus image classification methods for the detection of glaucoma: A review

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