Evidence map›Paper›PMID 29447152›Full record

ArticlePLoS computational biology2018

A multiscale modelling approach to assess the impact of metabolic zonation and microperfusion on the hepatic carbohydrate metabolism.

Nikolaus Berndt, Marius Stefan Horger, Sascha Bulik, Hermann-Georg Holzhütter

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 39 citations in OpenAlex.

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  8. On the relationship between metabolic capacities andFrontiers in bioengineering and biotechnology · 2022
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  11. Review
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  15. Spatial heterogeneity in the mammalian liver.Nature reviews. Gastroenterology & hepatology · 2019
    Review
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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 3 institutions in 1 country.

Nikolaus BerndtComputational Biochemistry Group, Institute of Biochemistry, Charite-University Medicine Berlin, Charitéplatz 1, Berlin.ORCID 0000-0001-5594-9940
Marius Stefan HorgerDepartment of Diagnostic and Interventional Radiology, Eberhard-Karls-University Tubingen, Tuebingen, Germany.
Sascha BulikComputational Biochemistry Group, Institute of Biochemistry, Charite-University Medicine Berlin, Charitéplatz 1, Berlin.
Hermann-Georg HolzhütterComputational Biochemistry Group, Institute of Biochemistry, Charite-University Medicine Berlin, Charitéplatz 1, Berlin.ORCID 0000-0002-5054-6023
Charité - Universitätsmedizin Berlin · DEFederal Institute for Risk Assessment · DEUniversity of Tübingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The capacity of the liver to convert the metabolic input received from the incoming portal and arterial blood into the metabolic output of the outgoing venous blood has three major determinants: The intra-hepatic blood flow, the transport of metabolites between blood vessels (sinusoids) and hepatocytes and the metabolic capacity of hepatocytes. These determinants are not constant across the organ: Even in the normal organ, but much more pronounced in the fibrotic and cirrhotic liver, regional variability of the capillary blood pressure, tissue architecture and the expression level of metabolic enzymes (zonation) have been reported. Understanding how this variability may affect the regional metabolic capacity of the liver is important for the interpretation of functional liver tests and planning of pharmacological and surgical interventions. Here we present a mathematical model of the sinusoidal tissue unit (STU) that is composed of a single sinusoid surrounded by the space of Disse and a monolayer of hepatocytes. The total metabolic output of the liver (arterio-venous glucose difference) is obtained by integration across the metabolic output of a representative number of STUs. Application of the model to the hepatic glucose metabolism provided the following insights: (i) At portal glucose concentrations between 6-8 mM, an intra-sinusoidal glucose cycle may occur which is constituted by glucose producing periportal hepatocytes and glucose consuming pericentral hepatocytes, (ii) Regional variability of hepatic blood flow is higher than the corresponding regional variability of the metabolic output, (iii) a spatially resolved metabolic functiogram of the liver is constructed. Variations of tissue parameters are equally important as variations of enzyme activities for the control of the arterio-venous glucose difference.

Indexed as

Carbohydrate MetabolismPerfusionAnimalsBiochemical PhenomenaBlood Flow VelocityBlood GlucoseBlood PressureDogsFibrosisGlucoseGlycogenHepatocytesHumansKineticsLiverLiver CirrhosisBlood GlucoseGlucoseGlycogen

Identifiers

PMID29447152
PMCPMC5841820
OpenAlexW2785962748

What OpenQuestion holds

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LicenceCC BY
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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.