Evidence map›Paper›PMID 20824097›Full record

ArticlePLoS pathogens2010

Two genes on A/J chromosome 18 are associated with susceptibility to Staphylococcus aureus infection by combined microarray and QTL analyses.

Sun-Hee Ahn, Hitesh Deshmukh, Nicole Johnson, Lindsay G Cowell, Thomas H Rude, William K Scott, Charlotte L Nelson, Aimee K Zaas, Douglas A Marchuk, Sehoon Keum and 4 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in PLoS pathogens, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

48 citing papers in PubMed, 70 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Genetic variation of DNA methyltransferase-3A contributes to protection against persistent MRSA bacteremia in patients.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Review
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

14 authors at 5 institutions in 1 country.

Sun-Hee AhnDepartment of Medicine, Duke University Medical Center, Durham, North Carolina, USA.
Hitesh Deshmukh
Nicole Johnson
Lindsay G Cowell
Thomas H Rude
William K Scott
Charlotte L Nelson
Aimee K Zaas
Douglas A Marchuk
Sehoon Keum
Supaporn Lamlertthon
Batu K Sharma-Kuinkel
Gregory D Sempowski
Vance G Fowler
Duke Medical Center · USClinical Research Institute · USDr. John T. Macdonald Foundation · USDuke University · USDuke University Hospital · US

Funding

Regional Biocontainment Laboratory (RBL)UC6AI058607 · NIAID · DUKE UNIVERSITY · PI WILLIAMS, R SANDERS · 2003 to 2005
$16.3M
Host Susceptibility to S. aureusR01AI068804 · NIAID · DUKE UNIVERSITY · PI FOWLER, VANCE G. · 2007 to 2016
$6.9M
Immune System Biological Networks:Case Study Improved Data Integration & AnalysisR01AI077706 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI COWELL, LINDSAY G. · 2008 to 2011
$1.7M
NIAID NIH HHS R01 AI068804NIAID NIH HHS R01AI068804NIAID NIH HHS R01 AI077706NIAID NIH HHS R01AI77706NIAID NIH HHS UC6 AI058607NIAID NIH HHS UC6-AI058607
6 · The paper itself

Abstract

Although it has recently been shown that A/J mice are highly susceptible to Staphylococcus aureus sepsis as compared to C57BL/6J, the specific genes responsible for this differential phenotype are unknown. Using chromosome substitution strains (CSS), we found that loci on chromosomes 8, 11, and 18 influence susceptibility to S. aureus sepsis in A/J mice. We then used two candidate gene selection strategies to identify genes on these three chromosomes associated with S. aureus susceptibility, and targeted genes identified by both gene selection strategies. First, we used whole genome transcription profiling to identify 191 (56 on chr. 8, 100 on chr. 11, and 35 on chr. 18) genes on our three chromosomes of interest that are differentially expressed between S. aureus-infected A/J and C57BL/6J. Second, we identified two significant quantitative trait loci (QTL) for survival post-infection on chr. 18 using N(2) backcross mice (F(1) [C18A]xC57BL/6J). Ten genes on chr. 18 (March3, Cep120, Chmp1b, Dcp2, Dtwd2, Isoc1, Lman1, Spire1, Tnfaip8, and Seh1l) mapped to the two significant QTL regions and were also identified by the expression array selection strategy. Using real-time PCR, 6 of these 10 genes (Chmp1b, Dtwd2, Isoc1, Lman1, Tnfaip8, and Seh1l) showed significantly different expression levels between S. aureus-infected A/J and C57BL/6J. For two (Tnfaip8 and Seh1l) of these 6 genes, siRNA-mediated knockdown of gene expression in S. aureus-challenged RAW264.7 macrophages induced significant changes in the cytokine response (IL-1 beta and GM-CSF) compared to negative controls. These cytokine response changes were consistent with those seen in S. aureus-challenged peritoneal macrophages from CSS 18 mice (which contain A/J chromosome 18 but are otherwise C57BL/6J), but not C57BL/6J mice. These findings suggest that two genes, Tnfaip8 and Seh1l, may contribute to susceptibility to S. aureus in A/J mice, and represent promising candidates for human genetic susceptibility studies.

Indexed as

Genetic Predisposition to DiseaseAnimalsApoptosis Regulatory ProteinsBiomarkersBlotting, WesternChemokinesChromosome MappingChromosomes, MammalianCytokinesEnzyme-Linked Immunosorbent AssayFlow CytometryGene Expression ProfilingHumansMacrophages, PeritonealMaleMiceApoptosis Regulatory ProteinsBiomarkersChemokinesCytokinesRNA, MessengerRNA, Small InterferingTNFAIP8 protein, mouse

Identifiers

PMID20824097
PMCPMC2932726
OpenAlexW2046718906

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.