Evidence map›Paper›PMID 22196162›Full record

ReviewCritical reviews in biomedical engineering2011

Modeling Ca2+ signaling in the microcirculation: intercellular communication and vasoreactivity.

Adam Kapela, Sridevi Nagaraja, Jaimit Parikh, Nikolaos M Tsoukias

Open access · greenAbstract readReview
In one paragraph

Review in Critical reviews in biomedical engineering, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.3field-weighted citation impact, top 37% 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

9 citing papers in PubMed, 14 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

4 authors at 1 institution in 1 country.

Adam KapelaDepartment of Biomedical Engineering, Florida International University, Miami, FL, USA.
Sridevi Nagaraja
Jaimit Parikh
Nikolaos M Tsoukias
Florida International University · US

Funding

Theorectal and Experimental Investigations of Microcirculatory SignalingSC1HL095101 · NHLBI · FLORIDA INTERNATIONAL UNIVERSITY · PI TSOUKIAS, NIKOLAOS MICHAEL · 2008 to 2012
$1.4M
NHLBI NIH HHS HL095101NHLBI NIH HHS SC1 HL095101
6 · The paper itself

Abstract

A network of intracellular signaling pathways and complex intercellular interactions regulate calcium mobilization in vascular cells, arteriolar tone, and blood flow. Different endothelium-derived vasoreactive factors have been identified and the importance of myoendothelial communication in vasoreactivity is now well appreciated. The ability of many vascular networks to conduct signals upstream also is established. This phenomenon is critical for both short-term changes in blood perfusion as well as long-term adaptations of a vascular network. In addition, in a phenomenon termed vasomotion, arterioles often exhibit spontaneous oscillations in diameter. This is thought to improve tissue oxygenation and enhance blood flow. Experimentation has begun to reveal important aspects of the regulatory machinery and the significance of these phenomena for the regulation of local perfusion and oxygenation. Mathematical modeling can assist in elucidating the complex signaling mechanisms that participate in these phenomena. This review highlights some of the important experimental studies and relevant mathematical models that provide the current understanding of these mechanisms in vasoreactivity.

Indexed as

Models, CardiovascularAdaptation, PhysiologicalAnimalsArteriolesCalciumCalcium SignalingCardiovascular Physiological PhenomenaCell CommunicationEndothelium, VascularHemodynamicsHumansMicrocirculationMuscle, Smooth, VascularVasomotor SystemCalcium

Identifiers

PMID22196162
PMCPMC3681513
OpenAlexW2060466478

What OpenQuestion holds

Textmetadata
LicenceTDM
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.