Ammarin Thakkinstian

IFN-γ–induced protein 10 is a novel biomarker of rhinovirus-induced asthma exacerbations

Background Rhinovirus-induced acute asthma is the most frequent trigger for asthma exacerbations. Objective We assessed which inflammatory mediators were released from bronchial epithelial cells (BECs) after infection with rhinovirus and then determined whether they were also present in subjects with acute virus-induced asthma, with the aim to identify a biomarker or biomarkers for acute virus-induced asthma. Methods BECs were obtained from bronchial brushings of steroid-naive asthmatic subjects and healthy nonatopic control subjects. Cells were infected with rhinovirus 16. Inflammatory mediators were measured by means of flow cytometry with a cytometric bead array. Subjects with acute asthma and virus infection were recruited; they were characterized clinically by using lung function tests and had blood taken to measure the inflammatory mediators identified as important by the BEC experiments. Results IFN-γ–induced protein 10 (IP-10) and RANTES were released in the greatest quantities, followed by IL-6, IL-8, and TNF-α. Dexamethasone treatment of BECs only partially suppressed IP-10 and TNF-α but was more effective at suppressing RANTES, IL-6, and IL-8. In acute clinical asthma serum IP-10 levels were increased to a greater extent in those with acute virus-induced asthma (median of 604 pg/mL compared with 167 pg/mL in those with non–virus-induced acute asthma, P < .01). Increased serum IP-10 levels were predictive of virus-induced asthma (odds ratio, 44.3 [95% CI, 3.9-100.3]). Increased serum IP-10 levels were strongly associated with more severe airflow obstruction (r = −0.8; P < .01). Conclusions IP-10 release is specific to acute virus-induced asthma. Clinical implications Measurement of serum IP-10 could be used to predict a viral trigger to acute asthma.

Meta-analysis of B type natriuretic peptide and N-terminal pro B natriuretic peptide in the diagnosis of clinical heart failure and population screening for left ventricular systolic dysfunction

Background:  We set out to review the validity of tests for B type natriuretic peptide (BNP) and N‐terminal pro BNP (NTproBNP) in the diagnosis of clinical heart failure (HF) in primary care and hospital settings and to examine the effect of age. We also examined the accuracy of the test in population screening for left ventricular systolic dysfunction.

Association between phosphodiesterase 4D gene and ischaemic stroke

Background: An association between the phosphodiesterase 4D (PDE4D) gene and risk of ischaemic stroke in an Icelandic population has been suggested by the deCODE group. Methods: A case–control study of 151 hospitalised patients with first-ever ischaemic stroke and 164 randomly selected age-matched and sex-matched community controls was conducted. PDE4D genotypes for the six single-nucleotide polymorphisms (SNPs) previously reported to be independently associated with stroke were determined, common haplotypes were inferred using the expectation-maximisation algorithm, and SNP and haplotype associations with stroke were examined. A meta-analysis of published studies examining the association between PDE4D and stroke was also carried out. Results: Our study of Australian patients with stroke showed an independent association between ischaemic stroke and PDE4D SNP 89 (CC: odds ratio (OR) 5.55, 95% confidence interval (CI) 1.02 to 30.19; CA: OR 1.68, 95% CI 0.96 to 2.96; AA: OR 1 (reference)), SNP 87 (CC: OR 2.13, 95% CI 1.08 to 4.20; TC: OR 1.64, 95% CI 0.89 to 3.00; TT: OR 1 (reference)) and SNP 83 (TT: OR 2.16, 95% CI 1.08 to 4.32; TC: OR 1.37, 95% CI 0.77 to 2.43; CC: OR 1 (reference)), and between ischaemic stroke and PDE4D haplotypes at SNP 89–87–83 (A–C–C: OR 2.13, 95% CI 1.15 to 3.96; C–C–T: OR 2.25, 95% CI 1.29 to 3.92), but no association between ischaemic stroke and PDE4D SNP 56, SNP 45 or SNP 41, or with PDE4D haplotypes at SNP 56–45–41. A meta-analysis of nine case–control studies (including our current results) of 3808 stroke cases and 4377 controls confirmed a significant association between stroke and PDE SNP 87 (pooled p = 0.002), SNP 83 (0.003) and SNP 41 (0.003). However, there was statistical heterogeneity (p<0.1) among the studies in the direction of association for each of the individual SNPs tested. Conclusions: Our results and the pooled analyses from all the studies indicate a strong association between PDE4D and ischaemic stroke. This strengthens the evidence that PDE4D plays a key part in the pathogenesis of ischaemic stroke. Heterogeneity among the studies in the direction of association between individual SNPs and stroke suggests that the SNPs tested are in linkage disequilibrium with the causal allele(s).

Factor V Leiden is associated with pre-eclampsia but not with fetal growth restriction: a genetic association study and meta-analysis

Summary.  Background: Adverse pregnancy outcomes have been related to environmental and/or genetic factors. Of interest are genes associated with the clotting system as any perturbation in the balance of thrombotic and thrombolytic cascades could affect the placental circulation and hence the viability of the developing fetus. Several previous reports using relatively small numbers of cases and controls have suggested that there is a relationship between poor pregnancy outcomes and two polymorphisms, one in the factor V gene, the 1691G to A change (rs6025) located on chromosome 1q23 (factor V Leiden, FVL), and the other in the prothrombin gene, 20210G to A change (rs1799963) on chromosome 11p11‐q12 (PT). These results, however, are conflicting. Methods: We genotyped 6755 mother/infant pairs from the Avon Longitudinal Study of Parents and Children (ALSPAC) to determine whether maternal or fetal FVL or PT, either alone or in combination, are associated with fetal growth restriction (FGR) or pre‐eclampsia (PE). We also added the present results to previous cohort studies using meta‐analysis. Results: Smoking, primiparity and lower body mass index (BMI) were all associated with FGR, but neither maternal nor fetal FVL or PT, singly or in combination, were associated with FGR in the ALSPAC cohort. Meta‐analysis confirmed the lack of association between maternal FVL and FGR with a pooled odds ratio (OR) of 1.15 [95% confidence interval (CI) 0.95–1.39]. High BMI, primiparity, diabetes and chronic hypertension were all associated with pre‐eclampsia. Combining ALSPAC results with previous studies in a meta‐analysis indicated that maternal FVL is significantly associated with pre‐eclampsia, with a pooled OR of 1.49 (95% CI 1.13–1.96). Conclusion: Neither maternal nor fetal FVL or PT, singly or in combination, are associated with FGR; this contradicts previous case–control studies and meta‐analyses based on these studies. In a meta‐analysis of all published cohort studies to date, maternal FVL appears to increase the risk of pre‐eclampsia by almost 50%. This result is robust, homogeneous and does not appear to be affected by publication bias.

Impact of COX-2 rs5275 and rs20417 and GPIIIa rs5918 Polymorphisms on 90-Day Ischemic Stroke Functional Outcome: A Novel Finding

We hypothesized that polymorphisms in 5 genes related to thrombolytic and inflammation pathways will independently influence occurrence, severity, and 3-month functional outcome in patients with ischemic stroke. This was a case-control design with ischemic stroke patients recruited from 4 public hospitals (n = 640) and community controls (n = 627). Baseline clinical data were collected, and follow-up telephone interviews were conducted with 520 patients at 90 days postevent to determine stroke outcome using the Barthel Index (BI), Modified Rankin Scale (mRS) and Glasgow Outcome Scale (GOS). Blood samples were collected and genotyped for polymorphisms in platelet glycoprotein Ibα (GPIbα) rs224309 and rs6065, glycoprotein IIIa (GPIIIa) rs5918, tissue plasminogen activator (tPA) rs63020761, plasminogen activating inhibitor (PAI-1) rs72578597, and cyclooxygenase-2 (COX-2) rs5275 and rs20417. COX-2 polymorphism rs5275 demonstrated a significant association with poststroke mRS, with a dominant genetic model demonstrating the best fit (CC + TC) (adjusted odds ratio [aOR] = 1.61; P = .026). The COX-2 rs20417 C allele showed an association with GOS (aOR = 1.95; P = .012), and again a dominant genetic model demonstrated the best fit (CC + GC). GPIIIa rs5918 (A1A2) was associated with poststroke BI, with a dominant model demonstrating the best fit (A1A2 + A2A2) (aOR = 0.56; P = .014). There was a significant association between stroke severity and tPA rs63020761 TT allele (aOR = 1.96; 95% CI = 1.03-3.72; P = .040). This is the first study to demonstrate associations between stroke functional outcome and 2 COX-2 variants (rs20417 and rs5275) and a GPIIIa variant (rs5918).

Choosing between per-genotype, per-allele, and trend approaches for initial detection of gene-disease association

There are a number of approaches to detect candidate gene–disease associations including: (i) ‘per-genotype’, which looks for any difference across the genotype groups without making any assumptions about the direction of the effect or the genetic model; (ii) ‘per-allele’, which assumes an additive genetic model, i.e. an effect for each allele copy; and (iii) linear trend, which looks for an incremental effect across the genotype groups. We simulated a number of gene–disease associations, varying odds ratios, allele frequency, genetic model, and deviation from Hardy–Weinberg equilibrium (HWE) and tested the performance of each of the three methods to detect the associations, where performance was judged by looking at critical values, power, coverage, bias, and root mean square error. Results indicate that the per-allele method is very susceptible to false positives and false negatives when deviations from HWE occur. The linear trend test appears to have the best power under most simulated scenarios, but can sometimes be biased and have poor coverage. These results indicate that of these strategies a linear trend test may be best for initially testing an association, and the per-genotype approach may be best for estimating the magnitude of the association.