Evidence map›Paper›PMID 31384843›Full record

ArticleIFAC-PapersOnLine2018

Characterization of Blood Volume Space and Mitochondrial Activity in Functional Renal Cells.

Matthew J McCarroll, Gilles Clermont, Hernando Gomez, David Swigon, Robert S Parker

Abstract read
In one paragraph

Article in IFAC-PapersOnLine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Matthew J McCarrollDepartment of Chemical and Petroleum Engineering, University of Pittsburgh, Pittsburgh, PA 15261 USA.
Gilles ClermontDepartment of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA 15261 USA.
Hernando GomezCenter for Critical Care Nephrology, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA 15261 USA.
David SwigonDepartment of Mathematics, University of Pittsburgh, Pittsburgh, PA 15261 USA.
Robert S ParkerDepartment of Chemical and Petroleum Engineering, University of Pittsburgh, Pittsburgh, PA 15261 USA.

Funding

Pittsburgh Career Development Program in Emergency Medicine ResearchK12HL109068 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CALLAWAY, CLIFTON W., YEALY, DONALD M · 2011 to 2015
$3.1M
Model-Based Decisions in SepsisR01GM105728 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CLERMONT, GILLES · 2014 to 2017
$1.1M
The role of energy regulation in the epithelial cell response to sepsis and the origin of multiple organ dysfuntionK08GM117310 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GOMEZ DANIES, HERNANDO · 2016 to 2018
$560k
NHLBI NIH HHS K12 HL109068NIGMS NIH HHS K08 GM117310NIGMS NIH HHS R01 GM105728
6 · The paper itself

Abstract

Renal function can become compromised in the event of shock, leading to acute kidney injury (AKI). As a result, microcirculatory dysfunction and disruption of oxygen homeostastis is observed, which leads to a shift in mitochondrial bioenergetics. These events can be studied by assessing the functionality in healthy, normal states and diseased states. Characterization of the spatial heterogeneity of mitochondrial activity and capillary blood volume space in healthy renal cells was performed using intravital multi-photon microscopy. The developed metrics that were used for depiction and quantification of the physiologic normal state can be applied to a diseased state, allowing the extent of microcirculatory dysfunction to be observed and evaluated.

Indexed as

AKIbioenergeticsimage analysismicrocirculationmitochondria

Identifiers

PMID31384843
PMCPMC6681423

What OpenQuestion holds

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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.