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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Main Authors: Supriya S Dabir, Debashish Das, Jeyabalan Nallathambi, Shwetha Mangalesh, Naresh Kumar Yadav, Jan S A G Schouten
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2014-01-01
Series:Indian Journal of Ophthalmology
Subjects:
Online Access: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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spelling 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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