Evidence map›Paper›PMID 35241684›Full record

ArticleScientific reports2022

Modeling energy depletion in rat livers using Nash equilibrium metabolic pathway analysis.

Angelo Lucia, Emily Ferrarese, Korkut Uygun

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

3 authors.

Angelo LuciaDepartment of Chemical Engineering, University of Rhode Island, Kington, RI, 02881, USA. alucia@uri.edu.
Emily FerrareseDepartment of Chemical Engineering, University of Rhode Island, Kington, RI, 02881, USA.
Korkut UygunCenter for Engineering in Medicine and Surgery, Massachusetts General Hospital, Boston, MA, 02114, USA.

Funding

High subzero preservation of liver for transplantationR01DK114506 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI TONER, MEHMET, UYGUN, KORKUT · 2017 to 2025
$4.4M
Metabolic Modeling for Cadaveric Organ ResuscitationR01DK096075 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI UYGUN, KORKUT, YEH, HEIDI · 2012 to 2022
$3.9M
NIDDK NIH HHS R01 DK096075NIDDK NIH HHS R01 DK114506
6 · The paper itself

Abstract

The current gold standard of Static Cold Storage (SCS), which is static cold storage on ice (about + 4 °C) in a specialized media such as the University of Wisconsin solution (UW), limits storage to few hours for vascular and metabolically active tissues such as the liver and the heart. The liver is arguably the pinnacle of metabolism in human body and therefore metabolic pathway analysis immediately becomes very relevant. In this article, a Nash Equilibrium (NE) approach, which is a first principles approach, is used to model and simulate the static cold storage and warm ischemia of a proposed model of liver cells. Simulations of energy depletion in the liver in static cold storage measured by ATP content and energy charge are presented along with comparisons to experimental data. In addition, conversion of Nash Equilibrium iterations to time are described along with an uncertainty analysis for the parameters in the model. Results in this work show that the Nash Equilibrium approach provides a good match to experimental data for energy depletion and that the uncertainty in model parameters is very small with percent variances less than 0.1%.

Indexed as

Liver TransplantationOrgan Preservation SolutionsAdenosineAllopurinolAnimalsCold TemperatureGlutathioneHumansInsulinLiverMetabolic Networks and PathwaysOrgan PreservationRaffinoseRatsAdenosineAllopurinolGlutathioneInsulinOrgan Preservation SolutionsRaffinoseUniversity of Wisconsin-lactobionate solution

Identifiers

PMID35241684
PMCPMC8894355

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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.