Evidence map›Paper›PMID 30472496›Full record

ArticleComputers in biology and medicine2019

Sex-specific long-term blood pressure regulation: Modeling and analysis.

Jessica Leete, Anita T Layton

Open access · greenAbstract read
In one paragraph

Article in Computers in biology and medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

24 citing papers in PubMed, 60 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. A Computational Model of Kidney Function in a Patient with Diabetes.International journal of molecular sciences · 2021
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Sex differences in solute transport along the nephrons: effects of NaAmerican journal of physiology. Renal physiology · 2020
    Article
  20. Article
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 2 countries.

Jessica LeeteComputational Biology & Bioinformatics Program, Duke University, Durham, NC, USA. Electronic address: jessica.leete@duke.edu.
Anita T LaytonDepartments of Mathematics, Biomedical Engineering, and Medicine, Duke University, Durham, NC, USA; Department of Applied Mathematics and School of Pharmacy, University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada.
Duke University · USUniversity of Waterloo · CA

Funding

Computational Biology and Bioinformatics Training ProgramT32GM071340 · NIGMS · DUKE UNIVERSITY · PI MAGWENE, PAUL MITAARI · 2005 to 2020
$3.3M
Unraveling Kidney Physiology, Pathophysiology & Therapeutics: A Modeling ApproachR01DK106102 · NIDDK · DUKE UNIVERSITY · PI LAYTON, ANITA · 2016 to 2019
$1.4M
NIDDK NIH HHS R01 DK106102NIGMS NIH HHS T32 GM071340
6 · The paper itself

Abstract

Hypertension is a global health challenge: it affects one billion people worldwide and is estimated to account for >60% of all cases or types of cardiovascular disease. In part because sex differences in blood pressure regulation mechanisms are not sufficiently well understood, fewer hypertensive women achieve blood pressure control compared to men, even though compliance and treatment rates are generally higher in women. Thus, the objective of this study is to identify which factors contribute to the sexual dimorphism in response to anti-hypertensive therapies targeting the renin angiotensin system (RAS). To accomplish that goal, we develop sex-specific blood pressure regulation models. Sex differences in the RAS, baseline adosterone level, and the reactivity of renal sympathetic nervous activity (RSNA) are represented. A novel aspect of the model is the representation of sex-specific vasodilatory effect of the bound angiotensin II type two receptor (AT2R-bound Ang II) on renal vascular resistance. Model simulations suggest that sex differences in RSNA are the largest cause of female resistance to developing hypertension due to the direct influence of RSNA on afferent arteriole resistance. Furthermore, the model predicts that the sex-specific vasodilatory effects of AT2R-bound Ang II on renal vascular resistance may explain the higher effectiveness of angiotensin receptor blockers in treating hypertensive women (but not men), compared to angiotensin converting enzyme inhibitors.

Indexed as

Blood PressureHypertensionModels, CardiovascularSex CharacteristicsAngiotensin-Converting Enzyme InhibitorsFemaleHumansKidneyMaleRenin-Angiotensin SystemSympathetic Nervous SystemAngiotensin-Converting Enzyme InhibitorsACE inhibitorsAngiotensin receptor blockersBlood pressureHypertensionrenin angiotensin system

Identifiers

PMID30472496
PMCPMC6590082
OpenAlexW2900373994

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.