Evidence map›Paper›PMID 21756351›Full record

ArticleBMC medical genetics2011

Genetic polymorphisms of innate immunity-related inflammatory pathways and their association with factors related to type 2 diabetes.

Paul Arora, Bibiana Garcia-Bailo, Zari Dastani, Darren Brenner, Andre Villegas, Suneil Malik, Timothy D Spector, Brent Richards, Ahmed El-Sohemy, Mohamed Karmali and 1 more

Open access · goldAbstract readComparative StudyTwin Study
In one paragraph

Article in BMC medical genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

29 citing papers in PubMed, 65 citations in OpenAlex.

  1. Observational
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  3. Association of Protein Z with Prediabetes and Type 2 Diabetes.Endocrinology and metabolism (Seoul, Korea) · 2021
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  4. Mechanisms Underlying the Comorbidity of Schizophrenia and Type 2 Diabetes Mellitus.The international journal of neuropsychopharmacology · 2021
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  13. Novel biomarkers for prediabetes, diabetes, and associated complications.Diabetes, metabolic syndrome and obesity : targets and therapy · 2017
    Review
  14. Article
  15. Article
  16. Association of genetic polymorphisms with osteosarcoma risk: a meta-analysis.International journal of clinical and experimental medicine · 2015
    Review
  17. Review
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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

11 authors at 5 institutions in 2 countries.

Paul AroraOffice for Biotechnology, Genomics and Population Health, Public Health Agency of Canada, 180 Queen Street West, Toronto, M5V 3L7, Canada.
Bibiana Garcia-Bailo
Zari Dastani
Darren Brenner
Andre Villegas
Suneil Malik
Timothy D Spector
Brent Richards
Ahmed El-Sohemy
Mohamed Karmali
Alaa Badawi
Public Health Agency of Canada · CAMcGill University · CAUniversity of Toronto · CAKing's College London · GBPublic Health Ontario · CA

Funding

Arthritis Research UKBiotechnology and Biological Sciences Research Council G20234Canadian Institutes of Health ResearchWellcome Trust
6 · The paper itself

Abstract

backgroundType 2 diabetes mellitus (T2DM) has been linked to a state of pre-clinical chronic inflammation resulting from abnormalities in the innate immune pathway. Serum levels of pro-inflammatory cytokines and acute-phase proteins, collectively known as 'inflammatory network', are elevated in the pre-, or early, stages of T2DM and increase with disease progression. Genetic variation can affect the innate immune response to certain environmental factors, and may, therefore, determine an individual's lifetime risk of disease.

methodsWe conducted a cross-sectional study in 6,720 subjects from the Twins UK Registry to evaluate the association between 18 single nucleotide polymorphisms (SNPs) in five genes (TLR4, IL1A, IL6, TNFA, and CRP) along the innate immunity-related inflammatory pathway and biomarkers of predisposition to T2DM [fasting insulin and glucose, HDL- and LDL- cholesterols, triglycerides (TGs), amyloid-A, sensitive C-reactive protein (sCRP) and vitamin D binding protein (VDBP) and body mass index (BMI)].

resultsOf 18 the SNPs examined for their association with nine metabolic phenotypes of interest, six were significantly associated with five metabolic phenotypes (Bonferroni correction, P ≤ 0.0027). Fasting insulin was associated with SNPs in IL6 and TNFA, serum HDL-C with variants of TNFA and CRP and serum sCRP level with SNPs in CRP. Cross-correlation analysis among the different metabolic factors related to risk of T2DM showed several significant associations. For example, BMI was directly correlated with glucose (r = 0.11), insulin (r = 0.15), sCRP (r = 0.23), LDL-C (r = 0.067) and TGs (r = 0.18) but inversely with HDL-C (r = -0.14). sCRP was also positively correlated (P < 0.0001) with insulin (r = 0.17), amyloid-A (r = 0.39), TGs (r = 0.26), and VDBP (r = 0.36) but inversely with HDL-C (r = -0.12).

conclusionGenetic variants in the innate immunity pathway and its related inflammatory cascade is associated with some metabolic risk factors for T2DM; an observation that may provide a rationale for further studying their role as biomarkers for disease early risk prediction.

Indexed as

Acute-Phase ProteinsBlood GlucoseBody Mass IndexCholesterolC-Reactive ProteinCross-Sectional StudiesCytokinesDiabetes Mellitus, Type 2FemaleHumansImmunity, InnateInsulinInterleukin-1alphaInterleukin-6Linear ModelsPolymorphism, Single NucleotideAcute-Phase ProteinsBlood GlucoseCholesterolC-Reactive ProteinCRP protein, humanCytokinesIL1A protein, humanIL6 protein, humanInsulinInterleukin-1alphaInterleukin-6Receptors, ImmunologicSerum Amyloid A ProteinTLR4 protein, humanToll-Like Receptor 4TriglyceridesVitamin D-Binding Protein

Identifiers

PMID21756351
PMCPMC3161932
OpenAlexW1995716751

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.