Functional Validation and Network-Based Prioritization of Key Transcriptional Factors of Diabetic Kidney Disease

<p><strong>Poster by Ikhlak Ahmed (Sidra Medicine), Mubarak Ziab (Sidra Medicine), Sahar Da’as (Sidra Medicine, Hamad Bin Khalifa University), Waseem Hasan (Sidra Medicine), Sujitha P. Jeya (Sidra Medicine), Elbay Aliyev (Sidra Medicine), Sabah Nisar (Sidra Medicine), Ajaz A. Bhat (Sidra...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Ikhlak Ahmed (6428939) (author)
مؤلفون آخرون: Mubarak Ziab (15430083) (author), Sahar Da’as (15430086) (author), Waseem H. Hasan (15273008) (author), Sujitha P. Jeya (15430110) (author), Elbay Aliyev (14056972) (author), Sabah Nisar (12561961) (author), Ajaz A. Bhat (158004) (author), Khalid Fakhro (11657571) (author), Ammira S. Alshabeeb Akil (15430143) (author)
منشور في: 2023
الموضوعات:
الوسوم: إضافة وسم
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author Ikhlak Ahmed (6428939)
author2 Mubarak Ziab (15430083)
Sahar Da’as (15430086)
Waseem H. Hasan (15273008)
Sujitha P. Jeya (15430110)
Elbay Aliyev (14056972)
Sabah Nisar (12561961)
Ajaz A. Bhat (158004)
Khalid Fakhro (11657571)
Ammira S. Alshabeeb Akil (15430143)
author2_role author
author
author
author
author
author
author
author
author
author_facet Ikhlak Ahmed (6428939)
Mubarak Ziab (15430083)
Sahar Da’as (15430086)
Waseem H. Hasan (15273008)
Sujitha P. Jeya (15430110)
Elbay Aliyev (14056972)
Sabah Nisar (12561961)
Ajaz A. Bhat (158004)
Khalid Fakhro (11657571)
Ammira S. Alshabeeb Akil (15430143)
author_role author
dc.creator.none.fl_str_mv Ikhlak Ahmed (6428939)
Mubarak Ziab (15430083)
Sahar Da’as (15430086)
Waseem H. Hasan (15273008)
Sujitha P. Jeya (15430110)
Elbay Aliyev (14056972)
Sabah Nisar (12561961)
Ajaz A. Bhat (158004)
Khalid Fakhro (11657571)
Ammira S. Alshabeeb Akil (15430143)
dc.date.none.fl_str_mv 2023-05-17T11:53:35Z
dc.identifier.none.fl_str_mv 10.57945/manara.22785296.v1
dc.relation.none.fl_str_mv https://figshare.com/articles/poster/Functional_Validation_and_Network-Based_Prioritization_of_Key_Transcriptional_Factors_of_Diabetic_Kidney_Disease/22785296
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Biomedical and clinical sciences
Medical biotechnology
Diabetic nephropathy
Diabetic Kidney disease
gene expression
network analysis
hyperglycemic zebrafish
transcription factors
DACH1
LMX1B
WT
therapeutic biomarkers
dc.title.none.fl_str_mv Functional Validation and Network-Based Prioritization of Key Transcriptional Factors of Diabetic Kidney Disease
dc.type.none.fl_str_mv Image
Poster
info:eu-repo/semantics/publishedVersion
image
description <p><strong>Poster by Ikhlak Ahmed (Sidra Medicine), Mubarak Ziab (Sidra Medicine), Sahar Da’as (Sidra Medicine, Hamad Bin Khalifa University), Waseem Hasan (Sidra Medicine), Sujitha P. Jeya (Sidra Medicine), Elbay Aliyev (Sidra Medicine), Sabah Nisar (Sidra Medicine), Ajaz A. Bhat (Sidra Medicine), Khalid Fakhro (Sidra Medicine, Hamad Bin Khalifa University, Weill Cornell Medicine College - Qatar), Ammira S. Alshabeeb Akil (Sidra Medicine)</strong></p> <p>Background: Diabetic nephropathy (DN) is one of the most established microvascular complications of diabetes and a key cause of end-stage renal disease. It is well established that gene susceptibility to DN plays a critical role in disease pathophysiology. Therefore, many genetic studies have been performed to categorize candidate genes in prominent diabetic cohorts, aiming to investigate DN pathogenesis and etiology.</p> <p>Objective: The objective of this study is to identify critical transcriptional factors associated with diabetic nephropathy (DN) progression and validate their role in DN development using a hyperglycemic zebrafish model.</p> <p>Methods: In this study, we performed a meta-analysis on the expression profiles of GSE1009, GSE30122, GSE96804, GSE99340, GSE104948, GSE104954, and GSE111154 to identify critical transcriptional factors associated with DN progression. The analysis was conducted for all individual datasets for each kidney tissue (glomerulus, tubules, and kidney cortex).</p> <p>Results: We identified distinct clusters of susceptibility genes that were dysregulated in a renal compartment- specific pattern. Further, we recognized a small but a closely connected set of these susceptibility genes enriched for podocyte differentiation, several of which were characterized as genes encoding critical transcriptional factors (TFs) involved in DN development and podocyte function. To validate the role of identified TFs in DN progression, we functionally validated the three main TFs (DACH1, LMX1B, and WT1) identified through differential gene expression and network analysis using the hyperglycemic zebrafish model. We report that hyperglycemia-induced altered gene expression of the key TF genes leads to morphological abnormalities in zebrafish glomeruli, pronephric tubules, proximal and distal ducts.</p> <p>Conclusion: This study demonstrated that altered expression of these TF genes could be associated with hyperglycemia-induced nephropathy and, thus, aids in understanding the molecular drivers, essential genes, and pathways that trigger DN initiation and development.</p>
eu_rights_str_mv openAccess
id Manara2_ce8ca61b755b4acd949491eec32b6f48
identifier_str_mv 10.57945/manara.22785296.v1
network_acronym_str Manara2
network_name_str Manara2
oai_identifier_str oai:figshare.com:article/22785296
publishDate 2023
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spelling Functional Validation and Network-Based Prioritization of Key Transcriptional Factors of Diabetic Kidney DiseaseIkhlak Ahmed (6428939)Mubarak Ziab (15430083)Sahar Da’as (15430086)Waseem H. Hasan (15273008)Sujitha P. Jeya (15430110)Elbay Aliyev (14056972)Sabah Nisar (12561961)Ajaz A. Bhat (158004)Khalid Fakhro (11657571)Ammira S. Alshabeeb Akil (15430143)Biomedical and clinical sciencesMedical biotechnologyDiabetic nephropathyDiabetic Kidney diseasegene expressionnetwork analysishyperglycemic zebrafishtranscription factorsDACH1LMX1BWTtherapeutic biomarkers<p><strong>Poster by Ikhlak Ahmed (Sidra Medicine), Mubarak Ziab (Sidra Medicine), Sahar Da’as (Sidra Medicine, Hamad Bin Khalifa University), Waseem Hasan (Sidra Medicine), Sujitha P. Jeya (Sidra Medicine), Elbay Aliyev (Sidra Medicine), Sabah Nisar (Sidra Medicine), Ajaz A. Bhat (Sidra Medicine), Khalid Fakhro (Sidra Medicine, Hamad Bin Khalifa University, Weill Cornell Medicine College - Qatar), Ammira S. Alshabeeb Akil (Sidra Medicine)</strong></p> <p>Background: Diabetic nephropathy (DN) is one of the most established microvascular complications of diabetes and a key cause of end-stage renal disease. It is well established that gene susceptibility to DN plays a critical role in disease pathophysiology. Therefore, many genetic studies have been performed to categorize candidate genes in prominent diabetic cohorts, aiming to investigate DN pathogenesis and etiology.</p> <p>Objective: The objective of this study is to identify critical transcriptional factors associated with diabetic nephropathy (DN) progression and validate their role in DN development using a hyperglycemic zebrafish model.</p> <p>Methods: In this study, we performed a meta-analysis on the expression profiles of GSE1009, GSE30122, GSE96804, GSE99340, GSE104948, GSE104954, and GSE111154 to identify critical transcriptional factors associated with DN progression. The analysis was conducted for all individual datasets for each kidney tissue (glomerulus, tubules, and kidney cortex).</p> <p>Results: We identified distinct clusters of susceptibility genes that were dysregulated in a renal compartment- specific pattern. Further, we recognized a small but a closely connected set of these susceptibility genes enriched for podocyte differentiation, several of which were characterized as genes encoding critical transcriptional factors (TFs) involved in DN development and podocyte function. To validate the role of identified TFs in DN progression, we functionally validated the three main TFs (DACH1, LMX1B, and WT1) identified through differential gene expression and network analysis using the hyperglycemic zebrafish model. We report that hyperglycemia-induced altered gene expression of the key TF genes leads to morphological abnormalities in zebrafish glomeruli, pronephric tubules, proximal and distal ducts.</p> <p>Conclusion: This study demonstrated that altered expression of these TF genes could be associated with hyperglycemia-induced nephropathy and, thus, aids in understanding the molecular drivers, essential genes, and pathways that trigger DN initiation and development.</p>2023-05-17T11:53:35ZImagePosterinfo:eu-repo/semantics/publishedVersionimage10.57945/manara.22785296.v1https://figshare.com/articles/poster/Functional_Validation_and_Network-Based_Prioritization_of_Key_Transcriptional_Factors_of_Diabetic_Kidney_Disease/22785296CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/227852962023-05-17T11:53:35Z
spellingShingle Functional Validation and Network-Based Prioritization of Key Transcriptional Factors of Diabetic Kidney Disease
Ikhlak Ahmed (6428939)
Biomedical and clinical sciences
Medical biotechnology
Diabetic nephropathy
Diabetic Kidney disease
gene expression
network analysis
hyperglycemic zebrafish
transcription factors
DACH1
LMX1B
WT
therapeutic biomarkers
status_str publishedVersion
title Functional Validation and Network-Based Prioritization of Key Transcriptional Factors of Diabetic Kidney Disease
title_full Functional Validation and Network-Based Prioritization of Key Transcriptional Factors of Diabetic Kidney Disease
title_fullStr Functional Validation and Network-Based Prioritization of Key Transcriptional Factors of Diabetic Kidney Disease
title_full_unstemmed Functional Validation and Network-Based Prioritization of Key Transcriptional Factors of Diabetic Kidney Disease
title_short Functional Validation and Network-Based Prioritization of Key Transcriptional Factors of Diabetic Kidney Disease
title_sort Functional Validation and Network-Based Prioritization of Key Transcriptional Factors of Diabetic Kidney Disease
topic Biomedical and clinical sciences
Medical biotechnology
Diabetic nephropathy
Diabetic Kidney disease
gene expression
network analysis
hyperglycemic zebrafish
transcription factors
DACH1
LMX1B
WT
therapeutic biomarkers