ABSTRACT
OBJECTIVES: To explore serum cytokine levels over time in patients with chronic low back pain (cLBP) and Modic changes (MCs), difference in change between treatment groups in the Antibiotics in Modic Changes (AIM) study and associations between change in cytokines and low back pain. METHODS: Serum concentrations of 39 cytokines were measured at baseline and 1 year from 73 participants in the AIM study; 30 randomized to placebo, 43 to Amoxicillin. Low back pain intensity was measured by numeric rating scale. Change in cytokine levels over time were assessed by paired t-tests. Difference in change in cytokine levels between treatment groups and associations between changes in LBP and cytokine levels were assessed by linear regression models. Networks of cytokine changes in each treatment groups were explored by Pearson's correlations. RESULTS: Five cytokines changed from baseline to 1 year, (mean change, log transformed values with CI) C-X-C motif chemokine ligand (CXCL) 10 (IP-10) (0.11 (0.01-0.20)), CXCL13 (0.61 (0.00-0.12)), C-C motif chemokine ligand (CCL)26 (0.05 (0.01-0.1)), granulocyte macrophage-colony stimulating factor (GM-CSF) (-0.12 (-0.23 to 0.00)) and CXCL11 (0.12 (0.03-0.22)). Treatment group only influenced change in CCL21 (ß 0.07 (0.01-0.12)), and IL-6 (ß -0.17 (-0.30 to -0.03)). Change in CXCL13 (ß 2.43 (0.49-4.38)), CCL27 (ß 3.07 (0.46-5.69)), IL-8 (ß 1.83 (0.08-3.58)) and CCL19 (ß 3.10 (0.86-5.43)) were associated with change in LBP. The correlation networks of cytokine changes demonstrate small differences between treatment groups. CONCLUSIONS: Cytokine levels are relatively stable over time in our sample, with little difference between treatment groups. Some cytokines may be associated with LBP intensity. The differences between the correlation networks suggest that long-term Amoxicillin-treatment may have longstanding effects to be further explored.
Subject(s)
Chronic Pain , Low Back Pain , Humans , Low Back Pain/drug therapy , Cytokines , Ligands , Amoxicillin/therapeutic use , Anti-Bacterial Agents/therapeutic use , Lumbar Vertebrae , Magnetic Resonance Imaging , Chemokines , Chronic Pain/drug therapyABSTRACT
Type 1 diabetes (T1D) and allergic asthma are immune-mediated diseases. Pattern recognition receptors are proteins expressed by cells in the immune system to identify microbial pathogens and endogenous ligands. Toll-like receptors (TLRs) and CD14 are members of this family and could represent a molecular link between microbial infections and immune-mediated diseases. Diverging hypotheses regarding whether there exists a common or inverse genetic etiology behind these immune-mediated diseases have been presented. We aimed to test whether there exist common or inverse associations between polymorphisms in the pattern recognition receptors TLR2, TLR4 and CD14 and T1D and allergic asthma. Eighteen single nucleotide polymorphisms (SNPs) were genotyped in TLR2 (2), TLR4 (12) and CD14 (4) in 700 T1D children, 357 nuclear families with T1D children and 796 children from the 'Environment and Childhood Asthma' study. Allele and haplotype frequencies were analyzed in relation to diseases and in addition transmission disequilibrium test analyses were performed in the family material. Both T1D and allergic asthma were significantly associated with the TLR2 rs3804100 T allele and further associated with the haplotype including this SNP, possibly representing a susceptibility locus common for the two diseases. Neither TLR4 nor CD14 were associated with T1D or allergic asthma.
Subject(s)
Asthma/genetics , Diabetes Mellitus, Type 1/genetics , Genetic Predisposition to Disease/genetics , Polymorphism, Single Nucleotide , Quantitative Trait Loci/genetics , Toll-Like Receptor 2/genetics , Adolescent , Alleles , Asthma/immunology , Diabetes Mellitus, Type 1/immunology , Female , Humans , Linkage Disequilibrium/genetics , Linkage Disequilibrium/immunology , Lipopolysaccharide Receptors/genetics , Lipopolysaccharide Receptors/immunology , Male , Norway , Quantitative Trait Loci/immunology , Toll-Like Receptor 2/immunology , Toll-Like Receptor 4/genetics , Toll-Like Receptor 4/immunologyABSTRACT
BACKGROUND/HYPOTHESIS: HLA, INS, PTPN22 and CTLA4 are considered to be confirmed type 1 diabetes susceptibility genes. HLA, PTPN22 and CTLA4 are known to be involved in immune regulation. Few studies have systematically investigated the joint effect of multiple genetic variants. We evaluated joint effects of the four established genes on the risk of childhood-onset type 1 diabetes. METHODS: We genotyped 421 nuclear families, 1,331 patients and 1,625 controls for polymorphisms of HLA-DRB1, -DQA1 and -DQB1, the insulin gene (INS, -23 HphI), CTLA4 (JO27_1) and PTPN22 (Arg620Trp). RESULTS: The joint effect of HLA and PTPN22 on type 1 diabetes risk was significantly less than multiplicative in the case-control data, but a multiplicative model could not be rejected in the trio data. All other two-way gene-gene interactions fitted multiplicative models. The high-risk HLA genotype conferred a very high risk of type 1 diabetes (OR 20.6, using the neutral-risk HLA genotype as reference). When including also intermediate-risk HLA genotypes together with risk genotypes at the three non-HLA loci, the joint odds ratio was 61 (using non-risk genotypes at all loci as reference). CONCLUSION: Most established susceptibility genes seem to act approximately multiplicatively with other loci on the risk of disease except for the joint effect of HLA and PTPN22. The joint effect of multiple susceptibility loci conferred a very high risk of type 1 diabetes, but applies to a very small proportion of the general population. Using multiple susceptibility genotypes compared with HLA genotype alone seemed to influence the prediction of disease only marginally.