Evidence map›Paper›PMID 21219635›Full record

ArticleCritical care (London, England)2011

Variants in the Toll-interacting protein gene are associated with susceptibility to sepsis in the Chinese Han population.

Zhenju Song, Jun Yin, Chenling Yao, Zhan Sun, Mian Shao, Yaping Zhang, Zhengang Tao, Peizhi Huang, Chaoyang Tong

Open access · goldAbstract read
In one paragraph

Article in Critical care (London, England), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Pooled it
  2. Review
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  6. Review
  7. Pathogenic Single Nucleotide Polymorphisms on Autophagy-Related Genes.International journal of molecular sciences · 2020
    Review
  8. Journal of clinical medicine · 2019
    Article
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  12. Tollip SNP rs5743899 modulates human airway epithelial responses to rhinovirus infection.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2016
    Article
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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 4 institutions in 1 country.

Zhenju SongDepartment of Emergency Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai 200032, PR China.
Jun Yin
Chenling Yao
Zhan Sun
Mian Shao
Yaping Zhang
Zhengang Tao
Peizhi Huang
Chaoyang Tong
Sun Yat-sen University · CNFudan University · CNThe First Affiliated Hospital, Sun Yat-sen University · CNZhongshan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDeregulated or excessive host immune responses contribute to the pathogenesis of sepsis. Toll-like receptor (TLR) signaling pathways and their negative regulators play a pivotal role in the modulation of host immune responses and the development of sepsis. The objective of this study was to investigate the association of variants in the TLR signaling pathway genes and their negative regulator genes with susceptibility to sepsis in the Chinese Han population.

methodsPatients with severe sepsis (n = 378) and healthy control subjects (n = 390) were enrolled. Five genes, namely TLR2, TLR4, TLR9, MyD88 and TOLLIP, were investigated for their association with sepsis susceptibility by a tag single nucleotide polymorphism (SNP) strategy. Twelve tag SNPs were selected based on the data of Chinese Han in Beijing from the HapMap project and genotyped by direct sequencing. The mRNA expression levels of TOLLIP were determined using real-time quantitative Polymerase Chain Reaction (PCR) assays, and concentrations of tumor necrosis factor alpha (TNF-α) and interleukin-6 (IL-6) were measured by enzyme-linked immunosorbent assay (ELISA).

resultsOur results showed that the minor C-allele of rs5743867 in TOLLIP was significantly associated with the decreased risk of sepsis (Padj = 0.00062, odds ratio (OR)adj = 0.71, 95% confidence interval (CI) 0.59 to 0.86) after adjustment for covariates in multiple logistic regression analysis. A 3-SNP haplotype block harboring the associated SNP rs5743867 also displayed strong association with omnibus test P value of 0.00049. Haplotype GTC showed a protective role against sepsis (Padj = 0.0012), while haplotype GCT showed an increased risk for sepsis (Padj = 0.00092). After exposure to lipopolysaccharide (LPS), TOLLIP mRNA expression levels in peripheral blood mononuclear cells (PBMCs) from homozygotes for the rs5743867C allele were significantly higher than in heterozygotes and homozygotes for the rs5743867T allele (P = 0.013 and P = 0.01, respectively). Moreover, the concentrations of TNF-α and IL-6 in culture supernatants were significantly lower in the subjects of rs5743867CC genotype than in CT and TT genotype subjects (P = 0.016 and P = 0.003 for TNF-α; P = 0.01 and P = 0.002 for IL-6, respectively).

conclusionsOur findings indicated that the variants in TOLLIP were significantly associated with sepsis susceptibility in the Chinese Han population.

Indexed as

AgedAsian PeopleCase-Control StudiesChinaFemaleGenetic Predisposition to DiseaseHumansIntracellular Signaling Peptides and ProteinsMaleMiddle AgedMyeloid Differentiation Factor 88Polymorphism, Single NucleotideRNA, MessengerSepsisSignal TransductionToll-Like Receptor 2Intracellular Signaling Peptides and ProteinsMYD88 protein, humanMyeloid Differentiation Factor 88RNA, MessengerTOLLIP protein, humanToll-Like Receptor 2Toll-Like Receptor 4Toll-Like Receptor 9

Identifiers

PMID21219635
PMCPMC3222042
OpenAlexW2104756748

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.