Evidence map›Paper›PMID 29602296›Full record

ArticlePhysiological genomics2018

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

Louise C Evans, Alex Dayton, Chun Yang, Pengyuan Liu, Theresa Kurth, Kwang Woo Ahn, Steve Komas, Francesco C Stingo, Purushottam W Laud, Marina Vannucci and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Physiological genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Long Noncoding RNA MALAT1: Salt-Sensitive Hypertension.International journal of molecular sciences · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 1 country.

Louise C EvansDepartment of Physiology, Medical College of Wisconsin , Milwaukee, Wisconsin.
Alex DaytonDepartment of Physiology, Medical College of Wisconsin , Milwaukee, Wisconsin.
Chun YangDepartment of Physiology, Medical College of Wisconsin , Milwaukee, Wisconsin.
Pengyuan LiuDepartment of Physiology, Medical College of Wisconsin , Milwaukee, Wisconsin.
Theresa KurthDepartment of Physiology, Medical College of Wisconsin , Milwaukee, Wisconsin.
Kwang Woo AhnDivision of Biostatistics, Medical College of Wisconsin , Milwaukee, Wisconsin.
Steve KomasCancer Center, Redox and Bioenergetics Shared Resource, Medical College of Wisconsin , Milwaukee, Wisconsin.
Francesco C StingoDepartment of Statistics, Rice University, Houston, Texas.
Purushottam W LaudCenter for Patient Care and Outcomes Research, Medical College of Wisconsin , Milwaukee, Wisconsin.
Marina VannucciDepartment of Statistics, Rice University, Houston, Texas.
Mingyu LiangDepartment of Physiology, Medical College of Wisconsin , Milwaukee, Wisconsin.
Allen W CowleyDepartment of Physiology, Medical College of Wisconsin , Milwaukee, Wisconsin.
Medical College of Wisconsin · USRice University · US

Funding

Therapeutic Effects of mTOR Inhibition in Salt-Sensitive HypertensionP01HL116264 · NHLBI · MEDICAL COLLEGE OF WISCONSIN · PI COWLEY, ALLEN W · 2013 to 2021
$18.7M
INTEGRATED PHYSIOLOGY TRAINING--MOLECULE TO ORGANISMT32HL007852 · NHLBI · MEDICAL COLLEGE OF WISCONSIN · PI Matthew Robert Hodges · 1996 to 2026
$6.5M
Bayesian modeling to infer mechanisms of GWAS hypertension genes in ratsF30HL127979 · NHLBI · MEDICAL COLLEGE OF WISCONSIN · PI DAYTON, ALEXANDER R · 2016 to 2018
$137k
NHLBI NIH HHS F30 HL127979NHLBI NIH HHS P01 HL116264NHLBI NIH HHS T32 HL007852
6 · The paper itself

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.

Indexed as

Gene Expression ProfilingGene Expression RegulationPerfusionAnimalsBayes TheoremCell RespirationHypertensionInflammationKidney MedullaMetabolic Networks and PathwaysMetabolomeMetabolomicsMitochondriaRats, Inbred DahlRegression AnalysisSoftwareinflammationmetabolismperfusion pressurerenal transcriptome

Identifiers

PMID29602296
PMCPMC6032288
OpenAlexW2795255485

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.