Evidence map›Paper›PMID 27371260›Full record

ArticleBulletin of mathematical biology2016

Modeling Glucose Metabolism in the Kidney.

Ying Chen, Brendan C Fry, Anita T Layton

Open access · greenAbstract read
In one paragraph

Article in Bulletin of mathematical biology, 2016. 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
1.1field-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

16 citing papers in PubMed, 25 citations in OpenAlex.

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  6. Handling the sugar rush: the role of the renal proximal tubule.American journal of physiology. Renal physiology · 2024
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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 at 2 institutions in 1 country.

Ying ChenDepartment of Mathematics, Duke University, Durham, NC, USA.
Brendan C FryDepartment of Mathematical and Computer Sciences, Metropolitan State University of Denver, Denver, CO, USA.
Anita T LaytonDepartment of Mathematics, Duke University, Durham, NC, USA. alayton@math.duke.edu.
Duke University · USMetropolitan State University of Denver · US

Funding

Unraveling Kidney Physiology, Pathophysiology & Therapeutics: A Modeling ApproachR01DK106102 · NIDDK · DUKE UNIVERSITY · PI LAYTON, ANITA · 2016 to 2019
$1.4M
Modeling Solute Transport and Urine Concentrating Mechanism in the Rat KidneyR01DK089066 · NIDDK · DUKE UNIVERSITY · PI LAYTON, ANITA · 2010 to 2014
$1.2M
NIDDK NIH HHS R01 DK089066NIDDK NIH HHS R01 DK106102
6 · The paper itself

Abstract

The mammalian kidney consumes a large amount of energy to support the reabsorptive work it needs to excrete metabolic wastes and to maintain homeostasis. Part of that energy is supplied via the metabolism of glucose. To gain insights into the transport and metabolic processes in the kidney, we have developed a detailed model of the renal medulla of the rat kidney. The model represents water and solute flows, transmural fluxes, and biochemical reactions in the luminal fluid of the nephrons and vessels. In particular, the model simulates the metabolism of oxygen and glucose. Using that model, we have identified parameters concerning glucose transport and basal metabolism that yield predicted blood glucose concentrations that are consistent with experimental measurements. The model predicts substantial axial gradients in blood glucose levels along various medullary structures. Furthermore, the model predicts that in the inner medulla, owing to the relatively limited blood flow and low tissue oxygen tension, anaerobic metabolism of glucose dominates.

Indexed as

AnaerobiosisAnimalsGlucoseKidney MedullaMathematical ConceptsModels, BiologicalOxygen ConsumptionRatsGlucoseAnaerobic respirationGlycolysisRenal physiology

Identifiers

PMID27371260
PMCPMC5431085
OpenAlexW2464788888

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.