Evidence map›Paper›PMID 26064459›Full record

ArticlePulmonary circulation2015

A nonmuscle myosin light chain kinase-dependent gene signature in peripheral blood mononuclear cells is linked to human asthma severity and exacerbation status.

Tong Zhou, Ting Wang, Joe G N Garcia

Open access · bronzeAbstract read
In one paragraph

Article in Pulmonary circulation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

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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 1 institution in 1 country.

Tong ZhouArizona Respiratory Center and Department of Medicine, University of Arizona, Tucson, Arizona, USA.
Ting WangTW and JGNG contributed equally as senior authors.
Joe G N GarciaTW and JGNG contributed equally as senior authors.
University of Arizona · US

Funding

Structure-Function Analysis of nmMLCK in EC Barrier ResponsesP01HL126609 · NHLBI · UNIVERSITY OF FLORIDA · PI STEVEN M DUDEK · 2016 to 2026
$24.4M
Regulation of Asthmatic Inflammation by Non-Muscle MLCKR01HL091889 · NHLBI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI GARCIA, JOE G. N., WANG, TING · 2008 to 2018
$3.2M
NHLBI NIH HHS P01 HL126609NHLBI NIH HHS R01 HL091889
6 · The paper itself

Abstract

Asthma is increasingly recognized as a heterogeneous disease influenced by complex genetic and environmental contributions. Myosin light chain kinase (MLCK; gene symbol, MYLK), especially the nonmuscle isoform nmMLCK, is a cytoskeleton protein known to be related to human asthma susceptibility and severity, findings confirmed in preclinical models of asthmatic inflammation. In this study, we define the central capacity for a nmMLCK-influenced gene signature in human peripheral blood mononuclear cells to predict human asthma severity and exacerbation status. We refined this signature from a list of nmMLCK-influenced genes identified in lung tissues of nmMLCK knockout mice exposed to inflammatory stimuli (ventilator-induced lung injury), with subsequent identification of nmMLCK-influenced genes in a list of human asthma severity-related genes expressed in blood. The enriched nmMLCK-influenced gene signature successfully predicted human asthma severity and exacerbation status in both discovery and validation human asthma cohorts. These findings validate the central role played by nmMLCK in asthma susceptibility, severity, and exacerbation and further provide novel gene signatures as effective asthma biomarkers for severity, exacerbation, and prognosis.

Indexed as

asthma exacerbationasthma severitygene expressionnmMLCK

Identifiers

PMID26064459
PMCPMC4449245
OpenAlexW2025200379

What OpenQuestion holds

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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.