Evidence map›Paper›PMID 19097989›Full record

ArticleAmerican journal of respiratory cell and molecular biology2009

Intrapulmonary delivery of XCL1-targeting small interfering RNA in mice chronically infected with Mycobacterium tuberculosis.

Adrian G Rosas-Taraco, David M Higgins, Joaquín Sánchez-Campillo, Eric J Lee, Ian M Orme, Mercedes González-Juarrero

Open access · greenAbstract read
In one paragraph

Article in American journal of respiratory cell and molecular biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

26 citing papers in PubMed, 64 citations in OpenAlex.

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  20. RNAi Therapeutic Platforms for Lung Diseases.Pharmaceuticals (Basel, Switzerland) · 2013
    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 1 institution in 1 country.

Adrian G Rosas-TaracoDepartment of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, CO 80523-1682, USA.
David M Higgins
Joaquín Sánchez-Campillo
Eric J Lee
Ian M Orme
Mercedes González-Juarrero
Colorado State University · US

Funding

CHRONIC TUBERCULOSIS--LATENT OR DYNAMICR01AI044072 · NIAID · COLORADO STATE UNIVERSITY-FORT COLLINS · PI ORME, IAN M · 1999 to 2008
$2.7M
NIAID NIH HHS AI-44072
6 · The paper itself

Abstract

Mice infected for 60 days with Mycobacterium tuberculosis were treated with aerosolized XCL1-targeting small interfering RNA (siRNA) to induce local and transient suppression of XCL1/lymphotactin (an important chemokine in tuberculoid granuloma formation). The local pulmonary siRNA therapy resulted in a 50% decrease in the total amount of xcl1 gene transcripts at 3 days, and 40 to 50% protein suppression 3 and 5 days after treatment. Reduced XCL1 expression in the lungs was associated with decreased numbers of T lymphocytes, reduction in the IFN-gamma response, disorganized granulomatous lesions, and higher fibrosis when compared with control mice treated with either PBS or nontargeting siRNA. This indicates that a transient but strong modulation of the production of XCL1 in the lungs has a significant effect on the influx of IFN-gamma-secreting T cells, as well as local pathology, but without significantly altering containment of the infection.

Indexed as

Tuberculosis, PulmonaryAdministration, InhalationAerosolsAnimalsChemokines, CFemaleFibrosisGene SilencingHumansInterferon-gammaLungMiceMice, Inbred C57BLMycobacterium tuberculosisRNA, Small InterferingTissue DistributionAerosolsChemokines, CInterferon-gammaRNA, Small InterferingXcl1 protein, mouse

Identifiers

PMID19097989
PMCPMC2715903
OpenAlexW2149299006

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.