Evidence map›Paper›PMID 38349781›Full record

ArticleAmerican journal of physiology. Gastrointestinal and liver physiology2024

A mathematical model of ENaC and Slc26a6 regulation by CFTR in salivary gland ducts.

Shan Su, Amanda Wahl, John Rugis, Vinod Suresh, David I Yule, James Sneyd

Open access · greenAbstract read
In one paragraph

Article in American journal of physiology. Gastrointestinal and liver physiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

6 authors at 2 institutions in 2 countries.

Shan SuDepartment of Mathematics, University of Auckland, Auckland, New Zealand.ORCID 0000-0001-6492-2619
Amanda WahlDepartment of Pharmacology and Physiology, University of Rochester, Rochester, New York, United States.
John RugisDepartment of Mathematics, University of Auckland, Auckland, New Zealand.
Vinod SureshAuckland Biomedical Engineering Institute, University of Auckland, Auckland, New Zealand.ORCID 0000-0002-7198-1446
David I YuleDepartment of Pharmacology and Physiology, University of Rochester, Rochester, New York, United States.
James SneydDepartment of Mathematics, University of Auckland, Auckland, New Zealand.
University of Auckland · NZUniversity of Rochester · US

Funding

An experimental/computational approach for understanding salivary fluid secretionR01DE019245 · NIDCR · UNIVERSITY OF ROCHESTER · PI David I Yule · 2008 to 2026
$9.7M
Elucidating the Mechanisms of Salivary Gland Dysfunction Following Gamma-Irradiation Utilizing an Experimental and Computational ApproachF31DE030670 · NIDCR · UNIVERSITY OF ROCHESTER · PI WAHL, AMANDA MICHELLE · 2021 to 2023
$132k
HHS | NIH | National Institute of Dental and Craniofacial Research (NIDCR) 2R01DE01924HHS | NIH | National Institute of Dental and Craniofacial Research (NIDCR) 31 DE030670NIDCR NIH HHS F31 DE030670NIDCR NIH HHS R01 DE019245
6 · The paper itself

Abstract

Cystic fibrosis (CF) is a genetic disease caused by the mutations of cystic fibrosis transmembrane conductance regulator (

Indexed as

Cystic FibrosisCystic Fibrosis Transmembrane Conductance RegulatorAnimalsAntiportersCell MembraneEpithelial Sodium ChannelsMiceModels, TheoreticalSodiumSulfate TransportersAntiportersCystic Fibrosis Transmembrane Conductance RegulatorEpithelial Sodium ChannelsSlc26a6 protein, mouseSodiumSulfate TransportersCFTRcystic fibrosision channelsmathematical modelingsalivary gland

Identifiers

PMID38349781
PMCPMC11551000
OpenAlexW4391774895

What OpenQuestion holds

Textmetadata
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.