Differential systemic gene expression profile in patients with diabetic macular edema: Responders versus nonresponders to standard treatment
Introduction: Diabetic macular edema (DME) is a vision-threatening complication of diabetic retinopathy. The current practice of management is a" trial and error "method of using intravitreal antivascular endothelial growth factor (VEGF)′′ or steroids to treat the patient and watch the res...
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doaj-fb355614c5c6481ea29ac082c7e21dd82020-11-25T00:49:51ZengWolters Kluwer Medknow PublicationsIndian Journal of Ophthalmology0301-47381998-36892014-01-01621667310.4103/0301-4738.126186Differential systemic gene expression profile in patients with diabetic macular edema: Responders versus nonresponders to standard treatmentSupriya S DabirDebashish DasJeyabalan NallathambiShwetha MangaleshNaresh Kumar YadavJan S A G SchoutenIntroduction: Diabetic macular edema (DME) is a vision-threatening complication of diabetic retinopathy. The current practice of management is a" trial and error "method of using intravitreal antivascular endothelial growth factor (VEGF)′′ or steroids to treat the patient and watch the response. However, if the patient′s genetic profile helps us choose appropriate medicine, it would help customize treatment option for each patient. This forms the basis of our study. Materials and Methods: A case-control, prospective, observational series, where DME patients were treated with bevacizumab and subclassified as treatment naοve, treatment responders, and treatment nonresponders. Blood samples of 20 subjects were studied, with five patients in each of the groups (nondiabetic- group 1, treatment naοve- group 2, treatment responder- group 3, and treatment nonresponder-group 4). Whole blood RNA extraction followed by labeling, amplification and hybridization was done, and microarray data analyzed. Genes were classified based on functional category and pathways. Results: The total number of genes upregulated among all three experimental groups was 5, whereas 105 genes were downregulated. There were no common genes upregulated between the responders and nonresponders. There was only one gene upregulated between the diabetic and diabetic responders posttreatment. There were 19 genes upregulated and 8 genes downregulated in the inflammatory pathway in group 2 versus group 1. There were no downregulated genes detected in vascular angiogenesis and transcription group. There were identical numbers of genes up- and downregulated in the inflammatory pathway. Seventeen genes were upreguated and 11 genes downregulated in receptor activity, which remained the predominant group in the group classification. Discussion: In summary, this study would provide an insight into the probable signaling mechanisms for disease pathogenesis as well as progression. This type of study eventually would aid in developing or improvising existing treatment modules with a rational approach towards personalized medicine, in future addressing the differential responses to treatment.http://www.ijo.in/article.asp?issn=0301-4738;year=2014;volume=62;issue=1;spage=66;epage=73;aulast=DabirLasikcorneal scarscorneoplastiquepremium cataract surgeryrefractive complicationsradial keratotomypterygiumpingueculaastigmatismcorneal scarsAntioxidantselectromagnetic rationglutathionelensoxidative stress2-ethylpyridineapoptosisARPE-19 cellscigarette smoke toxicantmitochondrial membrane potentialreactive oxygen/nitrogen speciesIntacskeratoconusnomogramAllograftautograftcell-based therapylimbuslimbal stem cell deficiencylimbal transplantationnichestem cellsInfant blindnessiPhonemiddle-income countriesnon-physician gradersRetcamretinopathy of prematurity (ROP)rural areasscreeningsmart phonestelemedicinetele-ophthalmologytele-ROPwide-field digital imagingDiode laserpattern laserretinal photocoagulationsubthreshold micropulse laseryellow laserEye movement perimeterglaucomasaccadic reaction timeAdaptive opticscone countcone spacingretinal imagingBevacizumabdiabetic macular edemagene expression profilemicroarray analysis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Supriya S Dabir Debashish Das Jeyabalan Nallathambi Shwetha Mangalesh Naresh Kumar Yadav Jan S A G Schouten |
spellingShingle |
Supriya S Dabir Debashish Das Jeyabalan Nallathambi Shwetha Mangalesh Naresh Kumar Yadav Jan S A G Schouten Differential systemic gene expression profile in patients with diabetic macular edema: Responders versus nonresponders to standard treatment Indian Journal of Ophthalmology Lasik corneal scars corneoplastique premium cataract surgery refractive complications radial keratotomy pterygium pinguecula astigmatism corneal scars Antioxidants electromagnetic ration glutathione lens oxidative stress 2-ethylpyridine apoptosis ARPE-19 cells cigarette smoke toxicant mitochondrial membrane potential reactive oxygen/nitrogen species Intacs keratoconus nomogram Allograft autograft cell-based therapy limbus limbal stem cell deficiency limbal transplantation niche stem cells Infant blindness iPhone middle-income countries non-physician graders Retcam retinopathy of prematurity (ROP) rural areas screening smart phones telemedicine tele-ophthalmology tele-ROP wide-field digital imaging Diode laser pattern laser retinal photocoagulation subthreshold micropulse laser yellow laser Eye movement perimeter glaucoma saccadic reaction time Adaptive optics cone count cone spacing retinal imaging Bevacizumab diabetic macular edema gene expression profile microarray analysis |
author_facet |
Supriya S Dabir Debashish Das Jeyabalan Nallathambi Shwetha Mangalesh Naresh Kumar Yadav Jan S A G Schouten |
author_sort |
Supriya S Dabir |
title |
Differential systemic gene expression profile in patients with diabetic macular edema: Responders versus nonresponders to standard treatment |
title_short |
Differential systemic gene expression profile in patients with diabetic macular edema: Responders versus nonresponders to standard treatment |
title_full |
Differential systemic gene expression profile in patients with diabetic macular edema: Responders versus nonresponders to standard treatment |
title_fullStr |
Differential systemic gene expression profile in patients with diabetic macular edema: Responders versus nonresponders to standard treatment |
title_full_unstemmed |
Differential systemic gene expression profile in patients with diabetic macular edema: Responders versus nonresponders to standard treatment |
title_sort |
differential systemic gene expression profile in patients with diabetic macular edema: responders versus nonresponders to standard treatment |
publisher |
Wolters Kluwer Medknow Publications |
series |
Indian Journal of Ophthalmology |
issn |
0301-4738 1998-3689 |
publishDate |
2014-01-01 |
description |
Introduction: Diabetic macular edema (DME) is a vision-threatening complication of diabetic retinopathy. The current practice of management is a" trial and error "method of using intravitreal antivascular endothelial growth factor (VEGF)′′ or steroids to treat the patient and watch the response. However, if the patient′s genetic profile helps us choose appropriate medicine, it would help customize treatment option for each patient. This forms the basis of our study. Materials and Methods: A case-control, prospective, observational series, where DME patients were treated with bevacizumab and subclassified as treatment naοve, treatment responders, and treatment nonresponders. Blood samples of 20 subjects were studied, with five patients in each of the groups (nondiabetic- group 1, treatment naοve- group 2, treatment responder- group 3, and treatment nonresponder-group 4). Whole blood RNA extraction followed by labeling, amplification and hybridization was done, and microarray data analyzed. Genes were classified based on functional category and pathways. Results: The total number of genes upregulated among all three experimental groups was 5, whereas 105 genes were downregulated. There were no common genes upregulated between the responders and nonresponders. There was only one gene upregulated between the diabetic and diabetic responders posttreatment. There were 19 genes upregulated and 8 genes downregulated in the inflammatory pathway in group 2 versus group 1. There were no downregulated genes detected in vascular angiogenesis and transcription group. There were identical numbers of genes up- and downregulated in the inflammatory pathway. Seventeen genes were upreguated and 11 genes downregulated in receptor activity, which remained the predominant group in the group classification. Discussion: In summary, this study would provide an insight into the probable signaling mechanisms for disease pathogenesis as well as progression. This type of study eventually would aid in developing or improvising existing treatment modules with a rational approach towards personalized medicine, in future addressing the differential responses to treatment. |
topic |
Lasik corneal scars corneoplastique premium cataract surgery refractive complications radial keratotomy pterygium pinguecula astigmatism corneal scars Antioxidants electromagnetic ration glutathione lens oxidative stress 2-ethylpyridine apoptosis ARPE-19 cells cigarette smoke toxicant mitochondrial membrane potential reactive oxygen/nitrogen species Intacs keratoconus nomogram Allograft autograft cell-based therapy limbus limbal stem cell deficiency limbal transplantation niche stem cells Infant blindness iPhone middle-income countries non-physician graders Retcam retinopathy of prematurity (ROP) rural areas screening smart phones telemedicine tele-ophthalmology tele-ROP wide-field digital imaging Diode laser pattern laser retinal photocoagulation subthreshold micropulse laser yellow laser Eye movement perimeter glaucoma saccadic reaction time Adaptive optics cone count cone spacing retinal imaging Bevacizumab diabetic macular edema gene expression profile microarray analysis |
url |
http://www.ijo.in/article.asp?issn=0301-4738;year=2014;volume=62;issue=1;spage=66;epage=73;aulast=Dabir |
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