Evidence map›Paper›PMID 26972744›Full record

ArticleMathematical biosciences2016

Modeling the effects of positive and negative feedback in kidney blood flow control.

Runjing Liu, Anita T Layton

Abstract read
In one paragraph

Article in Mathematical biosciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-weighted citation impact, top 32% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Terpenes in the management of chronic kidney disease.Naunyn-Schmiedeberg's archives of pharmacology · 2024
    Review
  2. Article
  3. Review
  4. Renal blood flow and oxygenation.Pflugers Archiv : European journal of physiology · 2022
    Review
  5. Tubule-vascular feedback in renal autoregulation.American journal of physiology. Renal physiology · 2019
    Review
  6. Review
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

2 authors at 2 institutions in 1 country.

Runjing LiuTrinity College, Duke University, Durham, NC 27708, USA. Electronic address: runjing.liu@duke.edu.
Anita T LaytonDepartment of Mathematics, Duke University, Durham, NC 27708, USA. Electronic address: alayton@math.duke.edu.
Duke University · USTrinity College · 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

Blood flow in the mammalian kidney is tightly autoregulated. One of the important autoregulation mechanisms is the myogenic response, which is activated by perturbations in blood pressure along the afferent arteriole. Another is the tubuloglomerular feedback, which is a negative feedback that responds to variations in tubular fluid [Cl(-)] at the macula densa.(1) When initiated, both the myogenic response and the tubuloglomerular feedback adjust the afferent arteriole muscle tone. A third mechanism is the connecting tubule glomerular feedback, which is a positive feedback mechanism located at the connecting tubule, downstream of the macula densa. The connecting tubule glomerular feedback is much less well studied. The goal of this study is to investigate the interactions among these feedback mechanisms and to better understand the effects of their interactions. To that end, we have developed a mathematical model of solute transport and blood flow control in the rat kidney. The model represents the myogenic response, tubuloglomerular feedback, and connecting tubule glomerular feedback. By conducting a bifurcation analysis, we studied the stability of the system under a range of physiologically-relevant parameters. The bifurcation results were confirmed by means of a comparison with numerical simulations. Additionally, we conducted numerical simulations to test the hypothesis that the interactions between the tubuloglomerular feedback and the connecting tubule glomerular feedback may give rise to a yet-to-be-explained low-frequency oscillation that has been observed in experimental records.

Indexed as

Models, TheoreticalAnimalsFeedback, PhysiologicalHomeostasisRatsRenal CirculationAutoregulationBifurcation analysisHemodynamicsLimit-cycle oscillations

Identifiers

PMID26972744
PMCPMC4860047
OpenAlexW2301539703

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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.