Evidence map›Paper›PMID 18421376›Full record

ArticlePLoS pathogens2008

An unbiased systems genetics approach to mapping genetic loci modulating susceptibility to severe streptococcal sepsis.

Nourtan F Abdeltawab, Ramy K Aziz, Rita Kansal, Sarah L Rowe, Yin Su, Lidia Gardner, Charity Brannen, Mohammed M Nooh, Ramy R Attia, Hossam A Abdelsamed and 4 more

Open access · goldAbstract read
In one paragraph

Article in PLoS pathogens, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.8field-weighted citation impact, top 6% 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

20 citing papers in PubMed, 35 citations in OpenAlex.

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  14. Postpartum group a Streptococcus sepsis and maternal immunology.American journal of reproductive immunology (New York, N.Y. : 1989) · 2012
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Population biology of the human restricted pathogen, Streptococcus pyogenes.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2009
    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 2 institutions in 2 countries.

Nourtan F AbdeltawabMid-South Center for Biodefense and Security, The University of Tennessee Health Science Center, Memphis, Tennessee, United States of America.
Ramy K Aziz
Rita Kansal
Sarah L Rowe
Yin Su
Lidia Gardner
Charity Brannen
Mohammed M Nooh
Ramy R Attia
Hossam A Abdelsamed
William L Taylor
Lu Lu
Robert W Williams
Malak Kotb
University of Tennessee Health Science Center · USMemphis VA Medical Center · US

Funding

MOUSE BIRNU24RR021760 · NCRR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TOGA, ARTHUR W · 2005 to 2009
$11.6M
Modeling heterogeneity for safe cancer prevention and detectionU01CA105417 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI THREADGILL, DAVID W. · 2004 to 2013
$6.7M
Informatics Center for Mouse NeurogeneticsP20DA021131 · NIDA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI WILLIAMS, ROBERT W. · 2005 to 2009
$5.0M
Systems Genetics of Alcohol Response and Stress Effects in CNSU01AA013499 · NIAAA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI WILLIAMS, ROBERT W. · 2002 to 2016
$4.8M
IMMUNOPATHOGENESIS OF GROUP A STREPTOCOCCAL INFECTIONSR01AI040198 · NIAID · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI KANSAL, RITA · 1998 to 2007
$2.0M
NCI NIH HHS U01 CA105417NCI NIH HHS U01CA105417NCRR NIH HHS U24 RR021760NIAAA NIH HHS U01 AA013499NIAAA NIH HHS U01AA13499NIAID NIH HHS R01 AI040198NIDA NIH HHS P20 DA021131NIDA NIH HHS P20-DA 21131
6 · The paper itself

Abstract

Striking individual differences in severity of group A streptococcal (GAS) sepsis have been noted, even among patients infected with the same bacterial strain. We had provided evidence that HLA class II allelic variation contributes significantly to differences in systemic disease severity by modulating host responses to streptococcal superantigens. Inasmuch as the bacteria produce additional virulence factors that participate in the pathogenesis of this complex disease, we sought to identify additional gene networks modulating GAS sepsis. Accordingly, we applied a systems genetics approach using a panel of advanced recombinant inbred mice. By analyzing disease phenotypes in the context of mice genotypes we identified a highly significant quantitative trait locus (QTL) on Chromosome 2 between 22 and 34 Mb that strongly predicts disease severity, accounting for 25%-30% of variance. This QTL harbors several polymorphic genes known to regulate immune responses to bacterial infections. We evaluated candidate genes within this QTL using multiple parameters that included linkage, gene ontology, variation in gene expression, cocitation networks, and biological relevance, and identified interleukin1 alpha and prostaglandin E synthases pathways as key networks involved in modulating GAS sepsis severity. The association of GAS sepsis with multiple pathways underscores the complexity of traits modulating GAS sepsis and provides a powerful approach for analyzing interactive traits affecting outcomes of other infectious diseases.

Indexed as

Genetic Predisposition to DiseaseAnimalsBacteremiaChromosome MappingFemaleGene Expression Regulation, BacterialGenomicsGenotypeLongevityMaleMiceMice, Inbred StrainsMice, TransgenicQuantitative Trait LociRecombination, GeneticSepsis

Identifiers

PMID18421376
PMCPMC2277464
OpenAlexW2018134587

What OpenQuestion holds

Textmetadata
LicenceCC0
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.