Evidence map›Paper›PMID 26011432›Full record

ArticleExperimental physiology2015

Perfusion pressure and blood flow determine microvascular apparent viscosity.

Ozlem Yalcin, Daniel Ortiz, Alexander T Williams, Paul C Johnson, Pedro Cabrales

Open access · greenAbstract read
In one paragraph

Article in Experimental physiology, 2015. 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
1.0field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 17 citations in OpenAlex.

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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

5 authors at 2 institutions in 2 countries.

Ozlem YalcinSchool of Medicine, Koç University, Sariyer, Istanbul, Turkey.
Daniel OrtizDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, 92093-0412, USA.
Alexander T WilliamsDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, 92093-0412, USA.
Paul C JohnsonDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, 92093-0412, USA.
Pedro CabralesDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, 92093-0412, USA.
La Jolla Bioengineering Institute · USUniversity of California, San Diego · US

Funding

New Paradigms in the Design of Blood SubstitutesP01HL071064 · NHLBI · YESHIVA UNIVERSITY · PI MANJULA, BELUR N · 2002 to 2006
$11.8M
Recombinant HbAp Production for In Vivo Toxicity StudiesP01HL110900 · NHLBI · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI ALAYASH, ABDU I. · 2012 to 2016
$10.6M
Bioengineering Design of Artificial BloodR01HL064395 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI INTAGLIETTA, MARCOS · 2007 to 2011
$3.6M
BLOOD FLOW AND RHEOLOGY IN THE VENOUS MICROCIRCULATIONR01HL052684 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CABRALES, PEDRO · 1996 to 2011
$3.3M
FUNCTIONAL ASPECTS OF OXYGEN DELIVERYR01HL062318 · NHLBI · UNIVERSITY OF CALIFORNIA SAN DIEGO · PI INTAGLIETTA, MARCOS · 2001 to 2004
$1.5M
NHLBI NIH HHS P01 HL071064NHLBI NIH HHS P01 HL110900NHLBI NIH HHS R01 HL052684NHLBI NIH HHS R01 HL062318NHLBI NIH HHS R01 HL064395NHLBI NIH HHS R01 HL52684
6 · The paper itself

Abstract

NEW

findingsWhat is the central question of this study? The aim was to evaluate the effect of perfusion pressure on blood flow in small arterioles. The hypothesis was that blood flow regulates the thickness of the red-cell-free layer and, therefore, blood flow determines blood apparent viscosity and local vascular resistance in vascular networks with limited myogenic or metabolic regulation of blood flow. What is the main finding and its importance? Reduced perfusion pressures lowered volumetric flow rates and increased local vascular resistance, due to increased blood apparent viscosity. Thus, the local vascular resistance of small arterioles with limited myogenic or metabolic regulation of blood flow, appeared to be determined by changes in blood rheology rather than blood vessel diameter. The study of blood flow regulation is important to understand and resolve pathological conditions. As blood is a complex non-Newtonian multiphase system, the foundations of blood rheological properties have been obtained mostly in viscometers. However, blood rheological behaviour in vivo depends on the concentration of red blood cells (RBCs), their mechanical properties and the RBC hydrodynamics, including RBC migration away from the vessel wall in shear flow. This migration promotes the formation of a RBC-depleted zone, or cell-free layer (CFL), which reduces the apparent viscosity of blood. We hypothesize that perfusion pressure determines blood apparent viscosity in microvessels, as shear rate affects axial migration of RBCs by influencing the CFL thickness. In this study, we analysed the effects of perfusion pressure on blood flow in individual arterioles within the rat cremaster muscle preparation. Perfusion pressures to this microvascular bed were controlled by occlusions of the iliac artery using a pressure cuff. Blood flow measurements were obtained from direct measurements of blood flow velocity profile, as well as determination of CFL thickness using intravital microscopy. Our results indicate that perfusion pressure determines shear rates and the CFL thickness and its variations. In addition, blood flow reduction increased local vascular resistance by augmenting blood apparent viscosity rather than vascular hindrance. In conclusion, blood rheology could act as an intrinsic mechanism to further limit blood flow to tissue with limited myogenic and metabolic responses at low perfusion pressures.

Indexed as

AnimalsBlood Flow VelocityBlood PressureBlood ViscosityMicrovesselsRatsRats, Sprague-DawleyVascular Resistance

Identifiers

PMID26011432
PMCPMC6361618
OpenAlexW2136631048

What OpenQuestion holds

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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.