Background: Research has pointed to secure attachment as a possible key factor of resilience in adulthood. Objective: We aimed to investigate the role of secure attachment as a potential core feature in the properties of resilience. Methods: We conducted a systematic review in accordance with PRISMA guidelines followed by a meta-analysis. Results: Thirty-three studies were included in the review, and 10 of these, including 2305 subjects, were used for meta-analysis. The raw correlation coefficients ranged from .20 to .57, which indicated weak to moderate correlations between resilience and attachment. The synthesized correlation coefficients indicated that the correlations were significant and highly unlikely to be due to random variation. All studies are also reported on qualitatively. Conclusions: In both of our meta-analyses and in the narratively reported studies, we found that secure attachment is associated with the presence of resilience.

Summary: Background: Personalised medicine, including biomarkers for treatment selection, may provide new algorithms for more effective treatment of patients. Genetic variation may impact drug response and genetic markers could help selecting the best treatment strategy for the individual patient.Aim: To identify polymorphisms and candidate genes from the literature that are associated with anti‐tumour necrosis factor (TNF) treatment response in patients with inflammatory bowel diseases (IBD), Crohn's disease (CD) and ulcerative colitis.Methods: We performed a PubMed literature search and retrieved studies reporting original data on association between polymorphisms and anti‐TNF treatment response and conducted a meta‐analysis.Results: A functional polymorphism in FCGR3A was significantly associated with anti‐TNF treatment response among CD patients using biological response criterion (decrease in C‐reactive protein, levels). Meta‐analyses showed that polymorphisms in TLR2 (rs3804099, OR (95% CI) = 2.17 (1.35–3.47)], rs11938228 [OR = 0.64 (0.43–0.96)], TLR4 (rs5030728) [OR = 3.18 (1.63–6.21)], TLR9 (rs352139) [OR = 0.43 (0.21–0.88)], TNFRSF1A (rs4149570) [OR = 2.06 (1.02–4.17)], IFNG (rs2430561) [OR = 1.66 (1.05–2.63)], IL6 (rs10499563) [OR = 1.65 (1.04–2.63)] and IL1B (rs4848306) [OR = 1.88 (1.05–3.35)] were significantly associated with response among IBD patients using clinical response criteria. A positive predictive value of 0.96 was achieved by combining five genetic markers in an explorative analysis.Conclusions: There are no genetic markers currently available which are adequately predictive of anti‐TNF response for use in the clinic. Genetic markers bear the advantage that they do not change over time. Therefore, hypothesis‐free approaches, testing a large number of polymorphisms in large, well‐characterised cohorts, are required in order to identify genetic profiles with larger effect sizes, which could be employed as biomarkers for treatment selection in clinical settings.

Rheumatoid arthritis (RA) is a chronic inflammatory disease that affects ~1% of the Caucasian population. Over the last decades, the availability of biological drugs targeting the proinflammatory cytokine tumour necrosis factor α, anti-TNF drugs, has improved the treatment of patients with RA. However, one-third of the patients do not respond to the treatment. We wanted to evaluate the status of pharmacogenomics of anti-TNF treatment. We performed a PubMed literature search and all studies reporting original data on associations between genetic variants and anti-TNF treatment response in RA patients were included and results evaluated by meta-analysis. In total, 25 single nucleotide polymorphisms were found to be associated with anti-TNF treatment response in RA (19 from genome-wide association studies and 6 from the meta-analyses), and these map to genes involved in T cell function, NFκB and TNF signalling pathways (including CTCN5, TEC, PTPRC, FCGR2A, NFKBIB, FCGR2A, IRAK3). Explorative prediction analyses found that biomarkers for clinical treatment selection are not yet available.

Summary: Background: Anti‐tumor necrosis factor‐α (TNF‐α) is used for the treatment of severe cases of IBD, including Crohn's disease (CD) and ulcerative colitis (UC). However, one‐third of the patients do not respond to the treatment. We have previously investigated whether single nucleotide polymorphisms (SNPs) in genes involved in inflammation were associated with response to anti‐TNF therapy among patients with CD or UC.Aim: A new cohort of patients was established for replication of the previous findings and to identify new SNPs associated with anti‐TNF response.Methods: Fifty‐three SNPs assessed previously in cohort 1 (482 CD and 256 UC patients) were genotyped in cohort 2 (587 CD and 458 UC patients). The results were analysed using logistic regression (adjusted for age and gender).Results: Ten SNPs were associated with anti‐TNF response either among patients with CD (TNFRSF1A(rs4149570) (OR: 1.92, 95% CI: 1.02‐3.60, P = 0.04), IL18(rs187238) (OR: 1.35, 95% CI: 1.00‐1.82, P = 0.05), and JAK2(rs12343867) (OR: 1.35, 95% CI: 1.02‐1.78, P = 0.03)), UC (TLR2(rs11938228) (OR: 0.55, 95% CI: 0.33‐0.92, P = 0.02), TLR4(rs5030728) (OR: 2.23, 95% CI: 1.24‐4.01, P = 0.01) and (rs1554973) (OR: 0.49, 95% CI: 0.27‐0.90, P = 0.02), NFKBIA(rs696) (OR: 1.45, 95% CI: 1.06‐2.00, P = 0.02), and NLRP3(rs4612666) (OR: 0.63, 95% CI: 0.44‐0.91, P = 0.01)) or in the combined cohort of patient with CD and UC (IBD) (TLR4(rs5030728) (OR: 1.46, 95% CI: 1.01‐2.11, P = 0.04) and (rs1554973)(OR: 0.80, 95% CI: 0.65‐0.98, P = 0.03), NFKBIA(rs696) (OR: 1.25, 95% CI: 1.01‐1.54, P = 0.04), NLRP3(rs4612666) (OR: 0.73, 95% CI: 0.57‐0.95, P = 0.02), IL1RN(rs4251961) (OR: 0.81, 95% CI: 0.66‐1.00, P = 0.05), IL18(rs1946518) (OR: 1.24, 95% CI: 1.01‐1.53, P = 0.04), and JAK2(rs12343867) (OR: 1.24, 95% CI: 1.01‐1.53, P = 0.04)).Conclusions: The results support that polymorphisms in genes involved in the regulation of the NFκB pathway (TLR2, TLR4, and NFKBIA), the TNF‐α signalling pathway (TNFRSF1A), and other cytokine pathways (NLRP3, IL1RN, IL18, and JAK2) were associated with response to anti‐TNF therapy. Our multi‐SNP model predicted response rate of more than 82% (in 9% of the CD patients) and 75% (in 15% of the UC patients), compared to 71% and 64% in all CD and UC patients, respectively. More studies are warranted to predict response for use in the clinic.

Ankylosing spondylitis (AS) results from the combined effects of susceptibility genes and environmental factors. Polymorphisms in genes regulating inflammation may explain part of the heritability of AS. Using a candidate gene approach in this case-control study, 51 mainly functional single nucleotide polymorphisms (SNPs) in genes regulating inflammation were assessed in 709 patients with AS and 795 controls. Data on the patients with AS were obtained from the DANBIO registry where patients from all of Denmark are monitored in routine care during treatment with conventional and biologic disease modifying anti-rheumatic drugs (bDMARDs). The results were analyzed using logistic regression (adjusted for age and sex). Nine polymorphisms were associated with risk of AS (p < 0.05). The polymorphisms were in genes regulating a: the TNF-α pathway (TNF -308 G > A (rs1800629), and − 238 G > A (rs361525); TNFRSF1A -609 G > T (rs4149570), and PTPN22 1858 G > A (rs2476601)), b: the IL23/IL17 pathway (IL23R G > A (rs11209026), and IL18–137 G > C (rs187238)), or c: the NFkB pathway (TLR1 743 T > C (rs4833095), TLR4 T > C (rs1554973), and LY96–1625 C > G (rs11465996)). After Bonferroni correction the homozygous variant genotype of TLR1 743 T > C (rs4833095) (odds ratios (OR): 2.59, 95% confidence interval (CI): 1.48–4.51, p = 0.04), and TNFRSF1A -609 G > T (rs4149570) (OR: 1.79, 95% CI: 1.31–2.41, p = 0.01) were associated with increased risk of AS and the combined homozygous and heterozygous variant genotypes of TNF -308 G > A (rs1800629) (OR: 0.56, 95% CI: 0.44–0.72, p = 0.0002) were associated with reduced risk of AS. We replicated associations between AS and the polymorphisms in TNF (rs1800629), TNFRSF1A (rs4149570), and IL23R (rs11209026). Furthermore, we identified novel risk loci in TNF (rs361525), IL18 (rs187238), TLR1 (rs4833095), TLR4 (rs1554973), and LY96 (rs11465996) that need validation in independent cohorts. The results suggest that genetically determined high activity of the TNF-α, IL23/IL17, and NFkB pathways increase risk of AS.