Displaying publications 81 - 100 of 128 in total

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  1. Mookiah MR, Acharya UR, Chandran V, Martis RJ, Tan JH, Koh JE, et al.
    Med Biol Eng Comput, 2015 Dec;53(12):1319-31.
    PMID: 25894464 DOI: 10.1007/s11517-015-1278-7
    Diabetic macular edema (DME) is one of the most common causes of visual loss among diabetes mellitus patients. Early detection and successive treatment may improve the visual acuity. DME is mainly graded into non-clinically significant macular edema (NCSME) and clinically significant macular edema according to the location of hard exudates in the macula region. DME can be identified by manual examination of fundus images. It is laborious and resource intensive. Hence, in this work, automated grading of DME is proposed using higher-order spectra (HOS) of Radon transform projections of the fundus images. We have used third-order cumulants and bispectrum magnitude, in this work, as features, and compared their performance. They can capture subtle changes in the fundus image. Spectral regression discriminant analysis (SRDA) reduces feature dimension, and minimum redundancy maximum relevance method is used to rank the significant SRDA components. Ranked features are fed to various supervised classifiers, viz. Naive Bayes, AdaBoost and support vector machine, to discriminate No DME, NCSME and clinically significant macular edema classes. The performance of our system is evaluated using the publicly available MESSIDOR dataset (300 images) and also verified with a local dataset (300 images). Our results show that HOS cumulants and bispectrum magnitude obtained an average accuracy of 95.56 and 94.39% for MESSIDOR dataset and 95.93 and 93.33% for local dataset, respectively.
    Matched MeSH terms: Diabetic Retinopathy/classification*; Diabetic Retinopathy/diagnosis*
  2. Sahoo S, Barua A, Myint KT, Haq A, Abas AB, Nair NS
    PMID: 25686158 DOI: 10.1002/14651858.CD010009.pub2
    Diabetic cystoid macular oedema (CMO) is a condition which involves fluid accumulation in the inner portion of the retina. It often follows changes in retinal blood vessels which enhance the fluid to come out of vessels. Although it may be asymptomatic, symptoms are primarily painless loss of central vision, often with the complaint of seeing black spots in front of the eye.It is reported that CMO may resolve spontaneously, or fluctuate for months, before causing loss of vision. If left untreated or undiagnosed, progression of CMO may lead to permanent visual loss.It has been noted that patients with diabetic retinopathy have elevated inflammatory markers, and therefore it is likely that inflammation aids in the progression of vascular disease in these patients. Several topical non-steroidal anti-inflammatory drugs (NSAIDs) such as ketorolac 0.5%, bromfenac 0.09%, and nepafenac 0.1%, have therefore also been used topically to treat chronic diabetic CMO. Hence this review was conducted to find out the effects of topical NSAIDs in diabetic CMO.
    Matched MeSH terms: Diabetic Retinopathy/complications; Diabetic Retinopathy/drug therapy*
  3. Abougalambou SS, Abougalambou AS
    Diabetes Metab Syndr, 2015 Apr-Jun;9(2):98-103.
    PMID: 25470640 DOI: 10.1016/j.dsx.2014.04.019
    BACKGROUND: Diabetic retinopathy (DR) is the leading cause of blindness in the United States and it is the leading cause of new cases of blindness in adults aged 20-74. It is estimated that about 20% of patients with type 2 DM have evidence of diabetic retinopathy at diagnosis with diabetes.
    OBJECTIVE: To evaluate the prevalence of DR and to determine risk factors related to diabetic retinopathy among type 2 diabetes patients attending endocrinology clinics at Hospital Universiti Sains Malaysia (HUSM).
    SUBJECTS AND METHODS: The study design was observational prospective longitudinal follow-up study, the study was conducted with sample of 1077 type 2 diabetes mellitus outpatient recruited via attended the diabetes clinics at HUSM. Diagnosis of retinopathy is based on finding the diagnostic signs of retinopathy on eye exams by fundoscopy. Logistic regression analysis was used to assess the independent variables that affect the development of retinopathy.
    RESULTS: The prevalence of retinopathy was 39.3%. It has been noticed from this study findings, that the progression of retinopathy is been influenced by five independent risk factors such as duration of diabetes, presence neuropathy, total cholesterol at second and third visit and createnine clearance.
    CONCLUSION: DR is highly prevalent among type 2 DM. The progression of retinopathy is been influenced by five independent risk factors such as duration of diabetes, presence neuropathy, total cholesterol at second and third visit and createnine clearance. DR is a serious diabetic complication and public health strategies are required in order to reduce its risk factors and decrease its prevalence.
    KEYWORDS: Prevalence; Retinopathy; Risk factors; Type 2 diabetes mellitus
    Study site: Endocrinology clinics, Hospital Universiti Sains Malaysia (HUSM), Kelantan, Malaysia
    Matched MeSH terms: Diabetic Retinopathy/etiology*; Diabetic Retinopathy/metabolism; Diabetic Retinopathy/epidemiology
  4. Salowi MA, Goh PP, Lee MY, Adnan TH, Ismail M
    PMID: 26172075 DOI: 10.1097/APO.0000000000000068
    PURPOSE: To investigate the change in the profile of patients who had cataract surgery at Ministry of Health (MOH) hospitals in Malaysia.

    DESIGN: Secondary analysis on Malaysian Cataract Surgery Registry data.

    METHODS: The Malaysian Cataract Surgery Registry, a MOH-initiated registry, collects data on patients who had cataract surgery at the 36 MOH ophthalmology departments including demography, causes of cataract, systemic and ocular comorbidity, preoperative visual acuity (VA), operative details, and postoperative outcomes. This article reviews data on patient profiles from 2002 to 2004 and 2007 to 2011.

    RESULTS: The coverage of cataract surgery was 91.5% (171,482/185,388). Mean patient age was 64.5 years, and 51.6% were women. A high proportion of patients had hypertension (48.9%), diabetes mellitus (37.1%), and diabetic retinopathy (10.7%). Most had senile cataract (93.4%) and one third had second eye surgery. Most patients (82.0%) had preoperative unaided VA of worse than 6/12. Eyes presenting with unaided VA of worse than 3/60 decreased from 62.6% in 2002 to 47.7% in 2011, whereas those with 6/18 to 3/60 increased from 35.2% to 48.5% (P < 0.001). Patients who had extracapsular cataract extraction had worse preoperative VA than those who had phacoemulsification (81.3% vs 40% had vision worse than 3/60).

    CONCLUSIONS: The obvious change in patient profiles was the decreasing number of eyes presenting with worse than 3/60 vision. Compared with developed countries, patients who had cataract surgery at MOH hospitals in Malaysia were younger and had higher associations with diabetes mellitus and diabetic retinopathy.

    Matched MeSH terms: Diabetic Retinopathy/complications
  5. Khangholi S, Majid FA, Berwary NJ, Ahmad F, Aziz RB
    Planta Med, 2016 Jan;82(1-2):32-45.
    PMID: 26550791 DOI: 10.1055/s-0035-1558086
    Glycation, the non-enzymatic binding of glucose to free amino groups of an amino acid, yields irreversible heterogeneous compounds known as advanced glycation end products. Those products play a significant role in diabetic complications. In the present article we briefly discuss the contribution of advanced glycation end products to the pathogenesis of diabetic complications, such as atherosclerosis, diabetic retinopathy, nephropathy, neuropathy, and wound healing. Then we mention the various mechanisms by which polyphenols inhibit the formation of advanced glycation end products. Finally, recent supporting documents are presented to clarify the inhibitory effects of polyphenols on the formation of advanced glycation end products. Phytochemicals apply several antiglycation mechanisms, including glucose metabolism, amelioration of oxidative stress, scavenging of dicarbonyl species, and up/down-regulation of gene expression. To utilize polyphenols in order to remedy diabetic complications, we must explore, examine and clarify the action mechanisms of the components of polyphenols.
    Matched MeSH terms: Diabetic Retinopathy
  6. Rahim SS, Palade V, Shuttleworth J, Jayne C
    Brain Inform, 2016 Mar 16.
    PMID: 27747815 DOI: 10.1007/s40708-016-0045-3
    Digital retinal imaging is a challenging screening method for which effective, robust and cost-effective approaches are still to be developed. Regular screening for diabetic retinopathy and diabetic maculopathy diseases is necessary in order to identify the group at risk of visual impairment. This paper presents a novel automatic detection of diabetic retinopathy and maculopathy in eye fundus images by employing fuzzy image processing techniques. The paper first introduces the existing systems for diabetic retinopathy screening, with an emphasis on the maculopathy detection methods. The proposed medical decision support system consists of four parts, namely: image acquisition, image preprocessing including four retinal structures localisation, feature extraction and the classification of diabetic retinopathy and maculopathy. A combination of fuzzy image processing techniques, the Circular Hough Transform and several feature extraction methods are implemented in the proposed system. The paper also presents a novel technique for the macula region localisation in order to detect the maculopathy. In addition to the proposed detection system, the paper highlights a novel online dataset and it presents the dataset collection, the expert diagnosis process and the advantages of our online database compared to other public eye fundus image databases for diabetic retinopathy purposes.
    Matched MeSH terms: Diabetic Retinopathy*
  7. Aljarousha M, Badarudin NE, Che Azemin MZ
    Malays J Med Sci, 2016 May;23(3):72-7.
    PMID: 27418872 MyJurnal
    INTRODUCTION: Diabetes may affect the human body's systems and organs, including the eye. Diabetic retinopathy is the 5th leading cause of blindness globally. Diabetic subjects demonstrated dry eye symptoms that were also supported by the low values of the clinical tests.
    PURPOSE: This study aimed to compare the dry eye symptoms and signs between diabetics and non-diabetics and tear functions between diabetic subjects with and without dry eye.
    METHODS: This retrospective study was based on the observation of 643 medical files. Using a convenience sampling method, 88 subjects were found to report diabetes mellitus. The information extracted from the files included: date of first examination, age at first visit, gender, past ocular history, systemic disease, symptoms of dry eye disease and details of clinical diagnostic signs. Non-contact lens wearers were excluded. A group of 88, age and gender matched, control subjects were included for this comparison study.
    RESULTS: The percentage of dry eye symptoms was higher in diabetic subjects (15.9%) compared with non-diabetic subjects (13.6%; p<0.001). The percentage of dry eye symptoms was also higher in diabetics with dry eye (63%) than in diabetics without dry eye (36.9%; p<0.001). Tear break up time was significantly different between diabetics and non-diabetics (p<0.001) and between diabetics with and without dry eye (p=0.046). The corneal staining was significantly different between diabetic subjects with and without dry eye (p=0.028).
    CONCLUSION: Dry eye symptoms were significantly associated with diabetics. Tear break up time was significantly shorter in diabetics with dry eye compared to diabetics without dry eye.
    KEYWORDS: Diabetes mellitus; cornea; dry eye syndromes; signs and symptoms; tears
    Study site: Klinik Kesihatan Jalan Hospital, Kuantan, Malaysia
    Matched MeSH terms: Diabetic Retinopathy
  8. Acharya UR, Mookiah MR, Koh JE, Tan JH, Bhandary SV, Rao AK, et al.
    Comput Biol Med, 2016 08 01;75:54-62.
    PMID: 27253617 DOI: 10.1016/j.compbiomed.2016.04.015
    Posterior Segment Eye Diseases (PSED) namely Diabetic Retinopathy (DR), glaucoma and Age-related Macular Degeneration (AMD) are the prime causes of vision loss globally. Vision loss can be prevented, if these diseases are detected at an early stage. Structural abnormalities such as changes in cup-to-disc ratio, Hard Exudates (HE), drusen, Microaneurysms (MA), Cotton Wool Spots (CWS), Haemorrhages (HA), Geographic Atrophy (GA) and Choroidal Neovascularization (CNV) in PSED can be identified by manual examination of fundus images by clinicians. However, manual screening is labour-intensive, tiresome and time consuming. Hence, there is a need to automate the eye screening. In this work Bi-dimensional Empirical Mode Decomposition (BEMD) technique is used to decompose fundus images into 2D Intrinsic Mode Functions (IMFs) to capture variations in the pixels due to morphological changes. Further, various entropy namely Renyi, Fuzzy, Shannon, Vajda, Kapur and Yager and energy features are extracted from IMFs. These extracted features are ranked using Chernoff Bound and Bhattacharyya Distance (CBBD), Kullback-Leibler Divergence (KLD), Fuzzy-minimum Redundancy Maximum Relevance (FmRMR), Wilcoxon, Receiver Operating Characteristics Curve (ROC) and t-test methods. Further, these ranked features are fed to Support Vector Machine (SVM) classifier to classify normal and abnormal (DR, AMD and glaucoma) classes. The performance of the proposed eye screening system is evaluated using 800 (Normal=400 and Abnormal=400) digital fundus images and 10-fold cross validation method. Our proposed system automatically identifies normal and abnormal classes with an average accuracy of 88.63%, sensitivity of 86.25% and specificity of 91% using 17 optimal features ranked using CBBD and SVM-Radial Basis Function (RBF) classifier. Moreover, a novel Retinal Risk Index (RRI) is developed using two significant features to distinguish two classes using single number. Such a system helps to reduce eye screening time in polyclinics or community-based mass screening. They will refer the patients to main hospitals only if the diagnosis belong to the abnormal class. Hence, the main hospitals will not be unnecessarily crowded and doctors can devote their time for other urgent cases.
    Matched MeSH terms: Diabetic Retinopathy
  9. Ali Shah SA, Laude A, Faye I, Tang TB
    J Biomed Opt, 2016 Oct;21(10):101404.
    PMID: 26868326 DOI: 10.1117/1.JBO.21.10.101404
    Microaneurysms (MAs) are known to be the early signs of diabetic retinopathy (DR). An automated MA detection system based on curvelet transform is proposed for color fundus image analysis. Candidates of MA were extracted in two parallel steps. In step one, blood vessels were removed from preprocessed green band image and preliminary MA candidates were selected by local thresholding technique. In step two, based on statistical features, the image background was estimated. The results from the two steps allowed us to identify preliminary MA candidates which were also present in the image foreground. A collection set of features was fed to a rule-based classifier to divide the candidates into MAs and non-MAs. The proposed system was tested with Retinopathy Online Challenge database. The automated system detected 162 MAs out of 336, thus achieved a sensitivity of 48.21% with 65 false positives per image. Counting MA is a means to measure the progression of DR. Hence, the proposed system may be deployed to monitor the progression of DR at early stage in population studies.
    Matched MeSH terms: Diabetic Retinopathy/complications*; Diabetic Retinopathy/pathology
  10. Chee CS, Chang KM, Loke MF, Angela Loo VP, Subrayan V
    PeerJ, 2016;4:e2022.
    PMID: 27280065 DOI: 10.7717/peerj.2022
    AIM/HYPOTHESIS: The aim of our study was to characterize the human salivary proteome and determine the changes in protein expression in two different stages of diabetic retinopathy with type-2 diabetes mellitus: (1) with non-proliferative diabetic retinopathy (NPDR) and (2) with proliferative diabetic retinopathy (PDR). Type-2 diabetes mellitus without diabetic retinopathy (XDR) was designated as control.
    METHOD: In this study, 45 saliva samples were collected (15 samples from XDR control group, 15 samples from NPDR disease group and 15 samples from PDR disease group). Salivary proteins were extracted, reduced, alkylated, trypsin digested and labeled with an isobaric tag for relative and absolute quantitation (iTRAQ) before being analyzed by an Orbitrap fusion tribrid mass spectrometer. Protein annotation, fold change calculation and statistical analysis were interrogated by Proteome Discoverer. Biological pathway analysis was performed by Ingenuity Pathway Analysis. Data are available via ProteomeXchange with identifiers PXD003723-PX003725.
    RESULTS: A total of 315 proteins were identified from the salivary proteome and 119 proteins were found to be differentially expressed. The differentially expressed proteins from the NPDR disease group and the PDR disease group were assigned to respective canonical pathways indicating increased Liver X receptor/Retinoid X receptor (LXR/RXR) activation, Farnesoid X receptor/Retinoid X receptor (FXR/RXR) activation, acute phase response signaling, sucrose degradation V and regulation of actin-based motility by Rho in the PDR disease group compared to the NPDR disease group.
    CONCLUSIONS/INTERPRETATION: Progression from non-proliferative to proliferative retinopathy in type-2 diabetic patients is a complex multi-mechanism and systemic process. Furthermore, saliva was shown to be a feasible alternative sample source for diabetic retinopathy biomarkers.
    Matched MeSH terms: Diabetic Retinopathy*
  11. Pusparajah P, Lee LH, Abdul Kadir K
    Front Physiol, 2016;7:200.
    PMID: 27313539 DOI: 10.3389/fphys.2016.00200
    Diabetic retinopathy (DR) is among the leading causes of new onset blindness in adults. Effective treatment may delay the onset and progression of this disease provided it is diagnosed early. At present retinopathy can only be diagnosed via formal examination of the eye by a trained specialist, which limits the population that can be effectively screened. An easily accessible, reliable screening biomarker of diabetic retinopathy would be of tremendous benefit in detecting the population in need of further assessment and treatment. This review highlights specific biomarkers that show promise as screening markers to detect early diabetic retinopathy or even to detect patients at increased risk of DR at the time of diagnosis of diabetes. The pathobiology of DR is complex and multifactorial giving rise to a wide array of potential biomarkers. This review provides an overview of these pathways and looks at older markers such as advanced glycation end products (AGEs), inflammatory markers, vascular endothelial growth factor (VEGF) as well as other newer proteins with a role in the pathogenesis of DR including neuroprotective factors such as brain derived neurotrophic factor (BDNF) and Pigment Epithelium Derived Factor (PEDF); SA100A12, pentraxin 3, brain natriuretic peptide, apelin 3, and chemerin as well as various metabolites such as lipoprotein A, folate, and homocysteine. We also consider the possible role of proteins identified through proteomics work whose levels are altered in the sera of patients with DR as screening markers though their role in pathophysiology remains to be characterized. The role of microRNA as a promising new screening marker is also discussed.
    Matched MeSH terms: Diabetic Retinopathy*
  12. Nur Jannah Ambak, Aniza Abd Aziz, Nor Azwany Yaacob, Siti Raihan Ishak, Wan Mohd Razin Wan Hassan, Syaratul Emma Hashim, et al.
    MyJurnal
    Diabetic retinopathy (DR) may result in progressive visual impairment and blindness which affects the diabetic patients‟ morbidity and quality of life significantly. The objective of this study was to determine the proportions and prognostic factors of DR severity among Type 2 diabetes mellitus patients. A cross sectional study was conducted at the Ophthalmology Clinic in a tertiary hospital using the medical record database from 2005 to 2011. A total of 216DR patients were randomly selected. The study outcome was DR severity which was classified into four grading based on the International Clinical Diabetic Retinopathy Scale. Descriptive statistics and Ordinal Logistic Regression were applied using Stata SE/11. The mean (SD) age of DR
    in this study was 56.06 (9.98) years old with almost equal sex ratio. Proportion of mild non proliferative diabetic retinopathy (NPDR) was 48.6% (95% CI: 40.0, 60.0), moderate NPDR was 28.2% (95%CI: 22.0, 40.0), severe NPDR was 6.9% (95% CI: 4.0, 11.0) and proliferative diabetic retinopathy (PDR) was 16.2% (95%CI: 10.0, 22.0). Diabetic patients that suffered from diabetes mellitus for more than 10 years, having nephropathy, every increased of HbA1c by 1% and higher total cholesterol were at increased risk of worsening DR.
    Note: content of full text inconsistent with title and abstract. Author informed.
    Matched MeSH terms: Diabetic Retinopathy*
  13. Goh. SY, Ropilah, AR, Othmaliza, O, Mushawiahti, M
    MyJurnal
    Diabetic retinopathy is a disease involving microangiopathic changes in response to chronic hyperglycaemia and pan retinal photocoagulation (PRP) is currently the mainstay of treatment for proliferative retinopathy. In the present study, we evaluated the effect of pan retinal photocoagulation (PRP) on retinal nerve fibre layer (RNFL) thickness in patients with diabetic retinopathy using optical coherence tomography (OCT). This was a prospective longitudinal study. Patients with Type 2 diabetes mellitus with proliferative diabetic retinopathy (PDR) or very severe non-(N)PDR requiring laser treatment were included in the study. PRP was performed by a single trained personnel. Peripapillary RNFL located 3.4 mm around the optic disc was evaluated using time-domain OCT. Examination was performed before treatment, and 2 and 4 months after laser treatment. In total, 39 subjects (39 eyes) were recruited into this study. Twenty-nine patients had PDR and 10 had very severe NPDR. Mean age was 54.97 ± 8.38 years. Male and female genders were almost equally distributed with 18 males and 21 females. Median thickness of average RNFL at baseline was 108.8 um (interquartile range [IQR] 35.3). At two months post-procedure, average RNFL thickness significantly increased to 117.4 (IQR 28.6; P = 0.006). Although, other quadrants revealed a similar trend of increasing thickness at two months but it was not significant. At 4 months post-laser treatment, RNFL thickness in all quadrants reduced to baseline levels with insignificant changes of thickness compared to prior to laser treatment. There was also no significant association between changes in RNFL thickness and HbA1c levels (P = 0.77). In conclusion, PRP causes transient thickening of the RNFL which recovers within 4 months post-laser treatment. At the same time, poor sugar control has no direct influence on the RNFL changes after PRP.
    Matched MeSH terms: Diabetic Retinopathy
  14. Maimunah, M., Ropilah, A.R., Othmaliza, O., Mushawiahti, M.
    Medicine & Health, 2016;11(2):199-208.
    MyJurnal
    Conventional argon laser causes transient thickening of retinal nerve fibre layer (RNFL). The effect of pattern scanning laser (PASCAL) has not been well described. We compared the immediate changes in peripapillary RNFL thickness post-panretinal photocoagulation between conventional argon lasers and PASCAL in patients with diabetic retinopathy changes. A total of 32 subjects were recruited. There were 16 patients in the argon group and 16 patients in PASCAL group. Diabetic patients were recruited from Ophthalmology Clinic, Universiti Kebangsaan Malaysia Medical Centre (UKMMC). Complete eye examinations and fundus photographs were performed at baseline prior to laser treatment, and post-laser treatment at two and four months. RNFL thickness was measured using time domain optical coherence tomography. Both groups were comparable with respect to clinical characteristics and demographics. There was no significant difference in average RNFL thickness between the two groups prior to treatment (p= 0.323). RNFL post-laser treatment for patients receiving conventional argon laser remained unchanged with no significant differences in all quadrants at any time-point (two and four months). However, for the PASCAL group, significant thickening occurred at four months for average RNFL and the inferior quadrant (p <0.05). The other quadrants similarly demonstrated increasing thickness at four months but this did not reach statistical significance. Transient RNFL thickening occurs in both conventional and PASCAL laser patients. The PASCAL laser induces a greater increase in RNFL thickness than the argon laser group. Important events, such as laser eye treatments and even type of laser used, are worthy of consideration when evaluating RNFL.
    Keywords: diabetic retinopathy, optical coherence, photocoagulation, retinal ganglion cells, tomography
    Study site: Ophthalmology Clinic, Pusat Perubatan Universiti Kebangsaan Malaysia (PPUKM), Kuala Lumpur, Malaysia
    Matched MeSH terms: Diabetic Retinopathy*
  15. Dongare S, Gupta SK, Mathur R, Saxena R, Mathur S, Agarwal R, et al.
    Mol Vis, 2016;22:599-609.
    PMID: 27293376
    PURPOSE: Diabetic retinopathy is a common microvascular complication of long-standing diabetes. Several complex interconnecting biochemical pathways are activated in response to hyperglycemia. These pathways culminate into proinflammatory and angiogenic effects that bring about structural and functional damage to the retinal vasculature. Since Zingiber officinale (ginger) is known for its anti-inflammatory and antiangiogenic properties, we investigated the effects of its extract standardized to 5% 6-gingerol, the major active constituent of ginger, in attenuating retinal microvascular changes in rats with streptozotocin-induced diabetes.

    METHODS: Diabetic rats were treated orally with the vehicle or the ginger extract (75 mg/kg/day) over a period of 24 weeks along with regular monitoring of bodyweight and blood glucose and weekly fundus photography. At the end of the 24-week treatment, the retinas were isolated for histopathological examination under a light microscope, transmission electron microscopy, and determination of the retinal tumor necrosis factor-α (TNF-α), nuclear factor-kappa B (NF-κB), and vascular endothelial growth factor (VEGF) levels.

    RESULTS: Oral administration of the ginger extract resulted in significant reduction of hyperglycemia, the diameter of the retinal vessels, and vascular basement membrane thickness. Improvement in the architecture of the retinal vasculature was associated with significantly reduced expression of NF-κB and reduced activity of TNF-α and VEGF in the retinal tissue in the ginger extract-treated group compared to the vehicle-treated group.

    CONCLUSIONS: The current study showed that ginger extract containing 5% of 6-gingerol attenuates the retinal microvascular changes in rats with streptozotocin-induced diabetes through anti-inflammatory and antiangiogenic actions. Although precise molecular targets remain to be determined, 6-gingerol seems to be a potential candidate for further investigation.

    Matched MeSH terms: Diabetic Retinopathy/blood; Diabetic Retinopathy/drug therapy*
  16. Vinuthinee-Naidu MN, Zunaina E, Azreen-Redzal A, Nyi-Nyi N
    BMC Ophthalmol, 2017 Jun 14;17(1):91.
    PMID: 28615022 DOI: 10.1186/s12886-017-0486-3
    BACKGROUND: Uric acid is a final breakdown product of purine catabolism in humans. It's a potent antioxidant and can also act as a pro-oxidant that induces oxidative stress on the vascular endothelial cells, thus mediating progression of diabetic related diseases. Various epidemiological and experimental evidence suggest that uric acid has a role in the etiology of type 2 diabetes mellitus. We conducted a cross-sectional study to evaluate the correlation of retinal nerve fibre layer (RNFL) and macular thickness with serum uric acid in type 2 diabetic patients.

    METHODS: A cross-sectional study was conducted in the Eye Clinic, Hospital Universiti Sains Malaysia, Kelantan between the period of August 2013 till July 2015 involving type 2 diabetes mellitus patients with no diabetic retinopathy and with non-proliferative diabetic retinopathy (NPDR). An evaluation for RNFL and macular thickness was measured using Spectralis Heidelberg optical coherence tomography. Six ml of venous blood was taken for the measurement of serum uric acid and glycosylated haemoglobin (HbA1C).

    RESULTS: A total of 180 diabetic patients were recruited (90 patients with no diabetic retinopathy and 90 patients with NPDR) into the study. The mean level of serum uric acid for both the groups was within normal range and there was no significance difference between the two groups. Based on gender, both male and female gender showed significantly higher level of mean serum uric acid in no diabetic retinopathy group (p = 0.004 respectively). The mean serum uric acid was significantly higher in patient with HbA1C 
    Matched MeSH terms: Diabetic Retinopathy/blood; Diabetic Retinopathy/diagnosis*; Diabetic Retinopathy/etiology
  17. Kamble R, Kokare M, Deshmukh G, Hussin FA, Mériaudeau F
    Comput Biol Med, 2017 08 01;87:382-396.
    PMID: 28595892 DOI: 10.1016/j.compbiomed.2017.04.016
    Accurate detection of diabetic retinopathy (DR) mainly depends on identification of retinal landmarks such as optic disc and fovea. Present methods suffer from challenges like less accuracy and high computational complexity. To address this issue, this paper presents a novel approach for fast and accurate localization of optic disc (OD) and fovea using one-dimensional scanned intensity profile analysis. The proposed method utilizes both time and frequency domain information effectively for localization of OD. The final OD center is located using signal peak-valley detection in time domain and discontinuity detection in frequency domain analysis. However, with the help of detected OD location, the fovea center is located using signal valley analysis. Experiments were conducted on MESSIDOR dataset, where OD was successfully located in 1197 out of 1200 images (99.75%) and fovea in 1196 out of 1200 images (99.66%) with an average computation time of 0.52s. The large scale evaluation has been carried out extensively on nine publicly available databases. The proposed method is highly efficient in terms of quickly and accurately localizing OD and fovea structure together compared with the other state-of-the-art methods.
    Matched MeSH terms: Diabetic Retinopathy/diagnosis; Diabetic Retinopathy/pathology
  18. Bujang MA, Ismail M, Hatta NKBM, Othman SH, Baharum N, Lazim SSM
    Malays J Med Sci, 2017 Aug;24(4):86-96.
    PMID: 28951693 MyJurnal DOI: 10.21315/mjms2017.24.4.10
    OBJECTIVE: We aimed to validate the Malay version of Diabetes Quality of Life (DQOL) questionnaire for Malaysian adult population with type 2 diabetes mellitus (DM).
    METHODS: This is a cross-sectional study to validate Malay version of DQOL among the adult diabetic patients. DQOL questionnaire has 46 items consist of three domains, namely Satisfaction Domain, Impact Domain and Worry Domain. Both forward and backward translations from the English version of DQOL into Malay version were performed. After the face validity of the Malay version was established, it was then pilot-tested. Finally, the validity and reliability of the final Malay version of DQOL questionnaire were evaluated.
    RESULTS: There were 290 patients participated in this study with a mean (SD) age of 53.1 (10.0) years. The Cronbach's alpha coefficients of the overall items and the main domains were between 0.846 and 0.941. The Pearson's correlation coefficients for the three domains were between 0.228 and 0.451. HbA1C was found to be positively correlated with Impact Domain (P = 0.006). The Worry Domain was associated with diabetic retinopathy (P = 0.014) and nephropathy (P = 0.033).
    CONCLUSION: The Malay version of diabetes quality of life (DQOL) questionnaire was found to be a valid and reliable survey instrument to be used for Malaysian adult patients with diabetes mellitus.
    Study site: Klinik Kesihatan Seremban 2, Seremban, Negeri Sembilan, Malaysia
    Matched MeSH terms: Diabetic Retinopathy
  19. Kamalden TA, Macgregor-Das AM, Kannan SM, Dunkerly-Eyring B, Khaliddin N, Xu Z, et al.
    Antioxid Redox Signal, 2017 Nov 01;27(13):913-930.
    PMID: 28173719 DOI: 10.1089/ars.2016.6844
    AIMS: MicroRNAs (miRNAs), one type of noncoding RNA, modulate post-transcriptional gene expression in various pathogenic pathways in type 2 diabetes (T2D). Currently, little is known about how miRNAs influence disease pathogenesis by targeting cells at a distance. The purpose of this study was to investigate the role of exosomal miRNAs during T2D.

    RESULTS: We show that miR-15a is increased in the plasma of diabetic patients, correlating with disease severity. miR-15 plays an important role in insulin production in pancreatic β-cells. By culturing rat pancreatic β-cells (INS-1) cells in high-glucose media, we identified a source of increased miR-15a in the blood as exosomes secreted by pancreatic β-cells. We postulate that miR-15a, produced in pancreatic β-cells, can enter the bloodstream and contribute to retinal injury. miR-15a overexpression in Müller cells can be induced by exposing Müller cells to exosomes derived from INS-1 cells under high-glucose conditions and results in oxidative stress by targeting Akt3, which leads to apoptotic cell death. The in vivo relevance of these findings is supported by results from high-fat diet and pancreatic β-cell-specific miR-15a-/- mice.

    INNOVATION: This study highlights an important and underappreciated mechanism of remote cell-cell communication (exosomal transfer of miRNA) and its influence on the development of T2D complications.

    CONCLUSION: Our findings suggest that circulating miR-15a contributes to the pathogenesis of diabetes and supports the concept that miRNAs released by one cell type can travel through the circulation and play a role in disease progression via their transfer to different cell types, inducing oxidative stress and cell injury. Antioxid. Redox Signal. 27, 913-930.

    Matched MeSH terms: Diabetic Retinopathy/blood; Diabetic Retinopathy/genetics*
  20. Bawankar P, Shanbhag N, K SS, Dhawan B, Palsule A, Kumar D, et al.
    PLoS One, 2017;12(12):e0189854.
    PMID: 29281690 DOI: 10.1371/journal.pone.0189854
    Diabetic retinopathy (DR) is a leading cause of blindness among working-age adults. Early diagnosis through effective screening programs is likely to improve vision outcomes. The ETDRS seven-standard-field 35-mm stereoscopic color retinal imaging (ETDRS) of the dilated eye is elaborate and requires mydriasis, and is unsuitable for screening. We evaluated an image analysis application for the automated diagnosis of DR from non-mydriatic single-field images. Patients suffering from diabetes for at least 5 years were included if they were 18 years or older. Patients already diagnosed with DR were excluded. Physiologic mydriasis was achieved by placing the subjects in a dark room. Images were captured using a Bosch Mobile Eye Care fundus camera. The images were analyzed by the Retinal Imaging Bosch DR Algorithm for the diagnosis of DR. All subjects also subsequently underwent pharmacological mydriasis and ETDRS imaging. Non-mydriatic and mydriatic images were read by ophthalmologists. The ETDRS readings were used as the gold standard for calculating the sensitivity and specificity for the software. 564 consecutive subjects (1128 eyes) were recruited from six centers in India. Each subject was evaluated at a single outpatient visit. Forty-four of 1128 images (3.9%) could not be read by the algorithm, and were categorized as inconclusive. In four subjects, neither eye provided an acceptable image: these four subjects were excluded from the analysis. This left 560 subjects for analysis (1084 eyes). The algorithm correctly diagnosed 531 of 560 cases. The sensitivity, specificity, and positive and negative predictive values were 91%, 97%, 94%, and 95% respectively. The Bosch DR Algorithm shows favorable sensitivity and specificity in diagnosing DR from non-mydriatic images, and can greatly simplify screening for DR. This also has major implications for telemedicine in the use of screening for retinopathy in patients with diabetes mellitus.

    Study site: India
    Matched MeSH terms: Diabetic Retinopathy/diagnosis*; Diabetic Retinopathy/physiopathology
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