Evidence map›Paper›PMID 22328944›Full record

ArticleInternational journal of clinical and experimental medicine2012

The role of immunostimulatory nucleic acids in septic shock.

Farag Bleiblo, Paul Michael, Danielle Brabant, Chilakamarti V Ramana, Tc Tai, Mazen Saleh, Joseph E Parrillo, Anand Kumar, Aseem Kumar

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

7 citing papers in PubMed, 12 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.

Farag Bleiblo
Paul Michael
Danielle Brabant
Chilakamarti V Ramana
Tc Tai
Mazen Saleh
Joseph E Parrillo
Anand Kumar
Aseem Kumar

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis and its associated syndromes represent the systemic host response to severe infection and is manifested by varying degrees of hypotension, coagulopathy, and multiorgan dysfunction. Despite great efforts being made to understand this condition and designing therapies to treat sepsis, mortality rates are still high in septic patients. Characterization of the complex molecular signaling networks between the various components of host-pathogen interactions, highlights the difficulty in identifying a single driving force responsible for sepsis. Although triggering the inflammatory response is generally considered as protective against pathogenic threats, the interplay between the signaling pathways that are induced or suppressed during sepsis may harm the host. Numerous surveillance mechanisms have evolved to discriminate self from foreign agents and accordingly provoke an effective cellular response to target the pathogens. Nucleic acids are not only an essential genetic component, but sensing their molecular signature is also an important quality control mechanism which has evolved to maintain the integrity of the human genome. Evidence that has accumulated recently indicated that distinct pattern recognition receptors sense nucleic acids released from infectious organisms or from damaged host cells, resulting in the modulation of intracellular signalling cascades. Immunoreceptor-mediated detection of these nucleic acids induces antigen-specific immunity, secretion of proinflammatory cytokines and reactive oxygen/nitrogen species and thus are implicated in a range of diseases including septic shock.

Indexed as

immunostimulatory nucleic acidSepsisseptic shocksignaling networkstherapy

Identifiers

PMID22328944
PMCPMC3272682
OpenAlexW2236185008

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.