Evidence map›Paper›PMID 16797204›Full record

ArticleMicrobes and infection2006

Signature patterns revealed by microarray analyses of mice infected with influenza virus A and Streptococcus pneumoniae.

Hong Zhang, Yan A Su, Peisheng Hu, Jun Yang, Biyu Zheng, Peter Wu, Jingzhong Peng, Yanlin Tang, Lin Zhang

Abstract read
In one paragraph

Article in Microbes and infection, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

11 citing papers in PubMed, 22 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

9 authors at 3 institutions in 1 country.

Hong ZhangZ-BioMed Inc., 15725 Crabbs Branch Way, Rockville, MD 20855, USA. hzhang@zbiomed.com
Yan A Su
Peisheng Hu
Jun Yang
Biyu Zheng
Peter Wu
Jingzhong Peng
Yanlin Tang
Lin Zhang
Loyola University Medical Center · USUniversity of Southern California · USBiomed Research Institute · US

Funding

NIEHS NIH HHS N43 ES035509NIEHS NIH HHS N43-ES-35509
6 · The paper itself

Abstract

We used cDNA microarrays to identify differentially expressed genes in mice in response to infections with influenza virus A/PR/8/34 (H1N1) and Streptococcus pneumoniae. Expression microarray analysis showed up-regulation and down-regulation of many genes involved in the defense, inflammatory response and intracellular signaling pathways including chemokine, apoptosis, MAPK, Notch, Jak-STAT, T-cell receptor and complement and coagulation cascades. We have revealed signature patterns of gene expression in mice infected with two different classes of pathogens: influenza virus A and S. pneumoniae. Quantitative real-time RT-PCR results confirmed microarray results for most of the genes tested. These studies document clear differences in gene expression profiles between mice infected with influenza virus A and S. pneumoniae. Identification of genes that are differentially expressed after respiratory infections can provide insights into the mechanisms by which the host interacts with different pathogens, useful information about stage of diseases and selection of suitable targets for early diagnosis and treatments. The advantage of this novel approach is that the detection of pathogens is based on the differences in host gene expression profiles in response to different pathogens instead of detecting pathogens directly.

Indexed as

Gene Expression ProfilingGene Expression RegulationInfluenza A Virus, H1N1 SubtypeAnimalsDown-RegulationFemaleMiceMice, Inbred BALB COligonucleotide Array Sequence AnalysisOrthomyxoviridae InfectionsPneumococcal InfectionsReverse Transcriptase Polymerase Chain ReactionRNA, MessengerUp-RegulationRNA, Messenger

Identifiers

PMID16797204
PMCPMC7110625
OpenAlexW2044164674

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.