Literature DB >> 29602296

Transcriptomic analysis reveals inflammatory and metabolic pathways that are regulated by renal perfusion pressure in the outer medulla of Dahl-S rats.

Louise C Evans1, Alex Dayton1, Chun Yang1, Pengyuan Liu1,2, Theresa Kurth1, Kwang Woo Ahn3, Steve Komas4, Francesco C Stingo5, Purushottam W Laud6, Marina Vannucci5, Mingyu Liang1,2, Allen W Cowley1.   

Abstract

Studies exploring the development of hypertension have traditionally been unable to distinguish which of the observed changes are underlying causes from those that are a consequence of elevated blood pressure. In this study, a custom-designed servo-control system was utilized to precisely control renal perfusion pressure to the left kidney continuously during the development of hypertension in Dahl salt-sensitive rats. In this way, we maintained the left kidney at control blood pressure while the right kidney was exposed to hypertensive pressures. As each kidney was exposed to the same circulating factors, differences between them represent changes induced by pressure alone. RNA sequencing analysis identified 1,613 differently expressed genes affected by renal perfusion pressure. Three pathway analysis methods were applied, one a novel approach incorporating arterial pressure as an input variable allowing a more direct connection between the expression of genes and pressure. The statistical analysis proposed several novel pathways by which pressure affects renal physiology. We confirmed the effects of pressure on p-Jnk regulation, in which the hypertensive medullas show increased p-Jnk/Jnk ratios relative to the left (0.79 ± 0.11 vs. 0.53 ± 0.10, P < 0.01, n = 8). We also confirmed pathway predictions of mitochondrial function, in which the respiratory control ratio of hypertensive vs. control mitochondria are significantly reduced (7.9 ± 1.2 vs. 10.4 ± 1.8, P < 0.01, n = 6) and metabolomic profile, in which 14 metabolites differed significantly between hypertensive and control medullas ( P < 0.05, n = 5). These findings demonstrate that subtle differences in the transcriptome can be used to predict functional changes of the kidney as a consequence of pressure elevation.

Entities:  

Keywords:  inflammation; metabolism; perfusion pressure; renal transcriptome

Mesh:

Year:  2018        PMID: 29602296      PMCID: PMC6032288          DOI: 10.1152/physiolgenomics.00034.2018

Source DB:  PubMed          Journal:  Physiol Genomics        ISSN: 1094-8341            Impact factor:   3.107


  39 in total

1.  KEGG: kyoto encyclopedia of genes and genomes.

Authors:  M Kanehisa; S Goto
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

Review 2.  Dopamine, the kidney, and hypertension.

Authors:  Raymond C Harris; Ming-Zhi Zhang
Journal:  Curr Hypertens Rep       Date:  2012-04       Impact factor: 5.369

3.  T lymphocytes mediate hypertension and kidney damage in Dahl salt-sensitive rats.

Authors:  Carmen De Miguel; Satarupa Das; Hayley Lund; David L Mattson
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2010-02-10       Impact factor: 3.619

Review 4.  A mitochondrial paradigm of metabolic and degenerative diseases, aging, and cancer: a dawn for evolutionary medicine.

Authors:  Douglas C Wallace
Journal:  Annu Rev Genet       Date:  2005       Impact factor: 16.830

5.  Amino acids as modulators of endothelium-derived nitric oxide.

Authors:  Masao Kakoki; Hyung-Suk Kim; Cora-Jean S Edgell; Nobuyo Maeda; Oliver Smithies; David L Mattson
Journal:  Am J Physiol Renal Physiol       Date:  2006-03-28

6.  Increased expression of NAD(P)H oxidase subunit p67(phox) in the renal medulla contributes to excess oxidative stress and salt-sensitive hypertension.

Authors:  Di Feng; Chun Yang; Aron M Geurts; Terry Kurth; Mingyu Liang; Jozef Lazar; David L Mattson; Paul M O'Connor; Allen W Cowley
Journal:  Cell Metab       Date:  2012-02-08       Impact factor: 27.287

7.  Mitochondrial genome mutations in hypertensive individuals.

Authors:  Faina Schwartz; Arvi Duka; Fengzhu Sun; Jing Cui; Athanasios Manolis; Haralambos Gavras
Journal:  Am J Hypertens       Date:  2004-07       Impact factor: 2.689

8.  Molecular networks in Dahl salt-sensitive hypertension based on transcriptome analysis of a panel of consomic rats.

Authors:  Mingyu Liang; Norman H Lee; Hongying Wang; Andrew S Greene; Anne E Kwitek; Mary L Kaldunski; Truong V Luu; Bryan C Frank; Scott Bugenhagen; Howard J Jacob; Allen W Cowley
Journal:  Physiol Genomics       Date:  2008-04-22       Impact factor: 3.107

9.  Dopamine-1 receptors in the proximal convoluted tubule of Dahl rats: defective coupling to adenylate cyclase.

Authors:  K Ohbu; F J Kaskel; S Kinoshita; R A Felder
Journal:  Am J Physiol       Date:  1995-01

10.  Increased proliferative cells in the medullary thick ascending limb of the loop of Henle in the Dahl salt-sensitive rat.

Authors:  Chun Yang; Francesco C Stingo; Kwang Woo Ahn; Pengyuan Liu; Marina Vannucci; Purushottam W Laud; Meredith Skelton; Paul O'Connor; Terry Kurth; Robert P Ryan; Carol Moreno; Shirng-Wern Tsaih; Giannino Patone; Oliver Hummel; Howard J Jacob; Mingyu Liang; Allen W Cowley
Journal:  Hypertension       Date:  2012-11-26       Impact factor: 10.190

View more
  3 in total

1.  Acute Increase of Renal Perfusion Pressure Causes Rapid Activation of mTORC1 (Mechanistic Target Of Rapamycin Complex 1) and Leukocyte Infiltration.

Authors:  Satoshi Shimada; Chun Yang; Vikash Kumar; David L Mattson; Allen W Cowley
Journal:  Hypertension       Date:  2022-03-16       Impact factor: 9.897

2.  Renal Perfusion Pressure Determines Infiltration of Leukocytes in the Kidney of Rats With Angiotensin II-Induced Hypertension.

Authors:  Satoshi Shimada; Justine M Abais-Battad; Ammar J Alsheikh; Chun Yang; Megan Stumpf; Theresa Kurth; David L Mattson; Allen W Cowley
Journal:  Hypertension       Date:  2020-08-03       Impact factor: 10.190

3.  Transcriptome Sequencing to Detect the Potential Role of Long Noncoding RNAs in Salt-Sensitive Hypertensive Rats.

Authors:  Hao Wu; Sibo Zhu; Rui Yuan; Yang Yi; Hanqing Wang; Bo Gu; Timing Zhen; Kaichen Xing; Jun Ma
Journal:  Biomed Res Int       Date:  2019-12-06       Impact factor: 3.411

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.