Evidence map›Paper›PMID 38496440›Full record

ArticlebioRxiv : the preprint server for biology2024

Comparison of a novel potentiator of CFTR channel activity to ivacaftor in ameliorating mucostasis caused by cigarette smoke in primary human bronchial airway epithelial cells.

Adrian Constantin Tanjala, Jia Xin Jiang, Paul D W Eckford, Mohabir Ramjeesingh, Canhui Li, Ling Jun Huan, Gabrielle Langeveld, Claire Townsend, Daniel V Paone, Jakob Busch-Petersen and 5 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 3 institutions in 3 countries.

Adrian Constantin Tanjala
Jia Xin Jiang
Paul D W Eckford
Mohabir Ramjeesingh
Canhui Li
Ling Jun Huan
Gabrielle Langeveld
Claire Townsend
Daniel V Paone
Jakob Busch-Petersen
Roman Pekhletski
LiPing Tang
Vamsee Raju
Steven M Rowe
Christine E Bear
Great Ormond Street Hospital · GBMolecular Discovery (United Kingdom) · GBUniversity of Alabama at Birmingham · US

Funding

UAB CF Research and Translation Core CenterP30DK072482 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI David M. Bedwell · 2007 to 2026
$23.0M
NIDDK NIH HHS P30 DK072482
6 · The paper itself

Abstract

Background: Cystic Fibrosis causing mutations in the gene Methods: A novel small molecule potentiator (SK-POT1), previously identified in CFTR binding studies, was tested for its activity in augmenting CFTR channel activity using patch clamp electrophysiology in HEK-293 cells, a fluorescence-based assay of membrane potential in Calu-3 cells and in Ussing chamber studies of primary bronchial epithelial cultures. Addition of cigarette smoke extract (CSE) to the solutions bathing the apical surface of Calu-3 cells and primary bronchial airway cultures was used to model COPD. Confocal studies of the velocity of fluorescent microsphere movement on the apical surface of CSE exposed airway epithelial cultures, were used to assess the effect of potentiators on CFTR-mediated mucociliary movement. Results: We showed that SK-POT1, like VX-770, was effective in augmenting the cyclic AMP-dependent channel activity of CFTR. SK-POT-1 enhanced CFTR channel activity in airway epithelial cells previously exposed to CSE and ameliorated mucostasis on the surface of primary airway cultures. Conclusion: Together, this evidence supports the further development of SK-POT1 as an intervention in the treatment of COPD.

Identifiers

PMID38496440
PMCPMC10942391
OpenAlexW4392384430

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.