Evidence map›Paper›PMID 26053546›Full record

ArticlePloS one2015

Differential MicroRNA Expression in Human Macrophages with Mycobacterium tuberculosis Infection of Beijing/W and Non-Beijing/W Strain Types.

Lin Zheng, Eric Leung, Nelson Lee, Grace Lui, Ka-Fai To, Raphael C Y Chan, Margaret Ip

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 11% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

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  12. A putative short-chain dehydrogenase Rv0148 ofCurrent research in microbial sciences · 2022
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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

7 authors at 1 institution in 1 country.

Lin ZhengDepartment of Microbiology, The Chinese University of Hong Kong, Hong Kong SAR, China.
Eric LeungDepartment of Microbiology, The Chinese University of Hong Kong, Hong Kong SAR, China.
Nelson LeeDepartment of Medicine & Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.
Grace LuiDepartment of Medicine & Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.
Ka-Fai ToDepartment of Anatomical & Cellular Pathology, The Chinese University of Hong Kong, Hong Kong SAR, China.
Raphael C Y ChanDepartment of Microbiology, The Chinese University of Hong Kong, Hong Kong SAR, China.
Margaret IpDepartment of Microbiology, The Chinese University of Hong Kong, Hong Kong SAR, China.
Chinese University of Hong Kong · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe role of microRNAs in association with Mycobacterium tuberculosis (MTB) infection and the immunology regulated by microRNAs upon MTB infection have not been fully unravelled. We examined the microRNA profiles of THP-1 macrophages upon the MTB infection of Beijing/W and non-Beijing/W clinical strains. We also studied the microRNA profiles of the host macrophages by microarray in a small cohort with active MTB disease, latent infection (LTBI), and from healthy controls.

resultsThe results revealed that 14 microRNAs differentiated infections of Beijing/W from non-Beijing/W strains (P<0.05). A unique signature of 11 microRNAs in human macrophages was identified to differentiate active MTB disease from LTBI and healthy controls. Pathway analyses of these differentially expressed miRNAs suggest that the immune-regulatory interactions involving TGF-β signalling pathway take part in the dysregulation of critical TB processes in the macrophages, resulting in active expression of both cell communication and signalling transduction systems.

conclusionWe showed for the first time that the Beijing/W TB strains repressed a number of miRNAs expressions which may reflect their virulence characteristics in altering the host response. The unique signatures of 11 microRNAs may deserve further evaluation as candidates for biomarkers in the diagnosis of MTB and Beijing/W infections.

Indexed as

Gene Expression ProfilingGene Expression RegulationBiomarkersCase-Control StudiesCell LineCluster AnalysisHumansLatent TuberculosisMacrophagesMicroRNAsMycobacterium tuberculosisReproducibility of ResultsRNA, MessengerSignal TransductionTuberculosisBiomarkersMicroRNAsRNA, Messenger

Identifiers

PMID26053546
PMCPMC4460131
OpenAlexW658411201

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Registered trials

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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.