Gene Expression Changes in Venous Segment of Overflow Arteriovenous Fistula

Aim. The objective of this study was to characterize coordinated molecular changes in the structure and composition of the walls of venous segments of arteriovenous (AV) fistulas evoked by overflow. Methods. Venous tissue samples were collected from 6 hemodialysis patients with AV fistulas exposed t...

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Main Authors: Yasuhiro Hashimoto, Akiko Okamoto, Hisao Saitoh, Shingo Hatakeyama, Takahiro Yoneyama, Takuya Koie, Chikara Ohyama
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:International Journal of Nephrology
Online Access:http://dx.doi.org/10.1155/2013/980923
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author Yasuhiro Hashimoto
Akiko Okamoto
Hisao Saitoh
Shingo Hatakeyama
Takahiro Yoneyama
Takuya Koie
Chikara Ohyama
author_facet Yasuhiro Hashimoto
Akiko Okamoto
Hisao Saitoh
Shingo Hatakeyama
Takahiro Yoneyama
Takuya Koie
Chikara Ohyama
author_sort Yasuhiro Hashimoto
collection DOAJ
description Aim. The objective of this study was to characterize coordinated molecular changes in the structure and composition of the walls of venous segments of arteriovenous (AV) fistulas evoked by overflow. Methods. Venous tissue samples were collected from 6 hemodialysis patients with AV fistulas exposed to overflow and from the normal cephalic veins of 4 other hemodialysis patients. Total RNA was extracted from the venous tissue samples, and gene expression between the 2 groups was compared using Whole Human Genome DNA microarray 44 K. Microarray data were analyzed by GeneSpring GX software and Ingenuity Pathway Analysis. Results. The cDNA microarray analysis identified 397 upregulated genes and 456 downregulated genes. Gene ontology analysis with GeneSpring GX software revealed that biological developmental processes and glycosaminoglycan binding were the most upregulated. In addition, most upregulation occurred extracellularly. In the pathway analysis, the TGF beta signaling pathway, cytokines and inflammatory response pathway, hypertrophy model, and the myometrial relaxation and contraction pathway were significantly upregulated compared with the control cephalic vein. Conclusion. Combining microarray results and pathway information available via the Internet provided biological insight into the structure and composition of the venous wall of overflow AV fistulas.
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institution Kabale University
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publishDate 2013-01-01
publisher Wiley
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series International Journal of Nephrology
spelling doaj-art-53fd431447474782b9092524de8023962025-02-03T01:03:48ZengWileyInternational Journal of Nephrology2090-214X2090-21582013-01-01201310.1155/2013/980923980923Gene Expression Changes in Venous Segment of Overflow Arteriovenous FistulaYasuhiro Hashimoto0Akiko Okamoto1Hisao Saitoh2Shingo Hatakeyama3Takahiro Yoneyama4Takuya Koie5Chikara Ohyama6Oyokyo Kidney Research Institute, Hirosaki Hospital, Hirosaki 036-8243, JapanOyokyo Kidney Research Institute, Hirosaki Hospital, Hirosaki 036-8243, JapanOyokyo Kidney Research Institute, Hirosaki Hospital, Hirosaki 036-8243, JapanDepartment of Urology, Hirosaki University Graduate School of Medicine, 5 Zaifucho, Hirosaki, Aomori 036-8562, JapanDepartment of Urology, Hirosaki University Graduate School of Medicine, 5 Zaifucho, Hirosaki, Aomori 036-8562, JapanDepartment of Urology, Hirosaki University Graduate School of Medicine, 5 Zaifucho, Hirosaki, Aomori 036-8562, JapanDepartment of Urology, Hirosaki University Graduate School of Medicine, 5 Zaifucho, Hirosaki, Aomori 036-8562, JapanAim. The objective of this study was to characterize coordinated molecular changes in the structure and composition of the walls of venous segments of arteriovenous (AV) fistulas evoked by overflow. Methods. Venous tissue samples were collected from 6 hemodialysis patients with AV fistulas exposed to overflow and from the normal cephalic veins of 4 other hemodialysis patients. Total RNA was extracted from the venous tissue samples, and gene expression between the 2 groups was compared using Whole Human Genome DNA microarray 44 K. Microarray data were analyzed by GeneSpring GX software and Ingenuity Pathway Analysis. Results. The cDNA microarray analysis identified 397 upregulated genes and 456 downregulated genes. Gene ontology analysis with GeneSpring GX software revealed that biological developmental processes and glycosaminoglycan binding were the most upregulated. In addition, most upregulation occurred extracellularly. In the pathway analysis, the TGF beta signaling pathway, cytokines and inflammatory response pathway, hypertrophy model, and the myometrial relaxation and contraction pathway were significantly upregulated compared with the control cephalic vein. Conclusion. Combining microarray results and pathway information available via the Internet provided biological insight into the structure and composition of the venous wall of overflow AV fistulas.http://dx.doi.org/10.1155/2013/980923
spellingShingle Yasuhiro Hashimoto
Akiko Okamoto
Hisao Saitoh
Shingo Hatakeyama
Takahiro Yoneyama
Takuya Koie
Chikara Ohyama
Gene Expression Changes in Venous Segment of Overflow Arteriovenous Fistula
International Journal of Nephrology
title Gene Expression Changes in Venous Segment of Overflow Arteriovenous Fistula
title_full Gene Expression Changes in Venous Segment of Overflow Arteriovenous Fistula
title_fullStr Gene Expression Changes in Venous Segment of Overflow Arteriovenous Fistula
title_full_unstemmed Gene Expression Changes in Venous Segment of Overflow Arteriovenous Fistula
title_short Gene Expression Changes in Venous Segment of Overflow Arteriovenous Fistula
title_sort gene expression changes in venous segment of overflow arteriovenous fistula
url http://dx.doi.org/10.1155/2013/980923
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