Evidence map›Paper›PMID 22562369›Full record

ArticleMedical & biological engineering & computing2012

The effect of microvascular pattern alterations on network resistance in spontaneously hypertensive rats.

Ming Yang, Walter L Murfee

Abstract read
In one paragraph

Article in Medical & biological engineering & computing, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
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  3. Review
  4. Article
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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

2 authors.

Ming YangDepartment of Biomedical Engineering, Tulane University, New Orleans, LA 70118, USA.
Walter L Murfee

Funding

The role of the CMV-associated reactive oxygen species in age-relatedP20GM103629 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI ROUT, NAMITA · 2012 to 2021
$22.4M
TULANE COBRE: TRANSGENIC &GENE-TARGETED ANIMAL COREP20RR017659 · NCRR · TULANE UNIVERSITY OF LOUISIANA · PI NAVAR, LUIS GABRIEL · 2002 to 2011
$22.1M
NCRR NIH HHS P20 RR017659NCRR NIH HHS P20RR017659-08NIGMS NIH HHS P20 GM103629
6 · The paper itself

Abstract

Structural microvascular rarefaction, defined by a loss of vessels, is a common characteristic of hypertension and has been associated with elevated microvascular resistance. However, determining the causal relationship between microvascular network structure and resistance requires a consideration of all pattern changes throughout a network. The objectives of this study were to determine whether microvascular rarefaction is associated with other network pattern alterations and to evaluate whether pattern alterations in hypertension necessarily contribute to increased microvascular resistance. Mesenteric tissues from age-matched (15-16 weeks) male spontaneously hypertensive rats (SHR) and normotensive Wistar-Kyoto (WKY) rats were harvested and immunolabeled for PECAM. SHR networks displayed a decreased microvascular area, arteriolar-venular (AV) length, number of AV branches, and number of capillary segments. In addition, SHR networks displayed increased AV connections per network compared to WKY networks. Based on network geometries, resistance per network was calculated using a computational model. For simulations with equal vessel diameter and with relative diameters based on reported intravital measurements, SHR microvascular network resistance was not elevated compared to the WKY level. Our results suggest that microvascular pattern alterations associated with hypertension are more complex than vessel loss, and that these combined alterations do not necessarily lead to elevated resistance.

Indexed as

AnimalsHypertensionMaleMicrocirculationMicrovesselsRatsRats, Inbred SHRRats, Inbred WKYSplanchnic CirculationVascular Resistance

Identifiers

PMID22562369
PMCPMC3608097

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Registered trials

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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.