Evidence map›Paper›PMID 21471994›Full record

ReviewGenes and immunity2011

Genetic variation of innate immune response genes in invasive pneumococcal and meningococcal disease applied to the pathogenesis of meningitis.

M S Sanders, G T J van Well, S Ouburg, S A Morré, A M van Furth

Open access · greenAbstract readReview
PubMed Publisher
In one paragraph

Review in Genes and immunity, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-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

14 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Frontiers in microbiology · 2021
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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

5 authors at 1 institution in 1 country.

M S SandersDepartment of Pathology, Laboratory for Immunogenetics, VU University Medical Center, Amsterdam, The Netherlands.
G T J van Well
S Ouburg
S A Morré
A M van Furth
Amsterdam UMC Location VUmc · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The susceptibility, severity and prognosis of infectious diseases depend on the ability of the host immune system to respond to pathogens. Genetic variation of immune response genes is associated with susceptibility to and severity of infectious diseases. Bacterial meningitis (BM) is a serious and life-threatening infectious disease of the central nervous system (CNS). Despite adequate antibiotic treatment and immunization strategies, mortality remains high, especially in developing countries. Streptococcus pneumoniae and Neisseria meningitidis are the two most common causative microorganisms of BM worldwide. The pathogenesis of BM starts with mucosal bacterial colonization, followed by invasion and survival of bacteria in the bloodstream, crossing of the blood-brain barrier, finally causing infection in the CNS, where host defense is less adequate. Host defense to BM starts with a complex cascade of pathogen recognition and subsequent intracellular signaling causing transcription of genes leading to the production of inflammatory mediators. Although this immune reaction is essential for killing microbes, it is also associated with damage to healthy cells and thus adverse disease outcome. This review provides an overview of the pathogenesis of invasive pneumococcal disease and invasive meningococcal disease related to the influence of genetic variation in genes involved in innate immunity, focusing on BM.

Indexed as

Genetic VariationAnimalsGenetic Predisposition to DiseaseHumansImmunity, InnateMeningitis, BacterialMeningitis, MeningococcalMeningitis, Pneumococcal

Identifiers

PMID21471994
OpenAlexW2025038875

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.