Association between chemokine (C-C motif) ligand 2 gene -2518 A/G polymorphism and pancreatitis risk: a meta-analysis

The effect of ITLN1, XCL2 and DOT1L variants on knee osteoarthritis risk in the Han population

BACKGROUND

Knee osteoarthritis (KOA) is a complex multifactorial disease, in which genetic factors account for 50% of the risk of osteoarthritis. This study investigated the association between ITLN1, XCL2 and DOT1L variants and KOA risk in the Han population.

METHODS

We applied Agena MassARRAY technology platform to genotype five single-nucleotide polymorphisms (SNPs) in 710 KOA patients and 709 controls. The correlation between ITLN1, XCL2 and DOT1L SNPs (rs2274908, rs4282797, rs4301615 and rs3815308) and KOA risk was calculated by logistic regression analysis, with odds ratio (OR) and 95% confidence intervals (CIs). Also, the relationship between genotypes at these different loci and clinical parameters (White blood cell, Eosinophil ratio, Neutrophil count, Eosinophil count, Monocyte ratio and Monocyte count) among patients and controls was analyzed.

RESULTS

In the overall results, rs2274908, rs4301615 and rs3815308 were correlated with KOA susceptibility. After gender stratification analysis, ITLN1 rs2274908 and XCL2 rs4301615 were related to an increased risk of KOA in males, and ITLN1 rs2274908 and DOT1L rs3815308 were related to an increased risk of KOA in females. After age stratification analysis, ITLN1 rs2274908 and XCL2 rs4301615 were correlated with an increased risk of KOA in people aged > 65 year old. After smoking stratification analysis and drinking stratification analysis, ITLN1 rs2274908, XCL2 rs4301615 and DOT1L rs3815308 were still associated with the risk of KOA.

CONCLUSION

In short, ITLN1 rs2274908, XCL2 rs4301615 and DOT1L rs3815308 were related to KOA risk in the Han population, which was helpful to clarify the pathogenesis of these sites in KOA.

Transcriptomic Analysis of Mycobacterium leprae-Stimulated Response in Peripheral Blood Mononuclear Cells Reveal Potential Biomarkers for Early Diagnosis of Leprosy

We aimed to identify an unique host transcriptional signature in peripheral blood mononuclear cells (PBMCs) in response to Mycobacterium leprae antigens to distinguish between patients with leprosy and non-leprosy controls for early diagnosis of the disease. Sixteen individuals were enrolled in the discovery cohort [eight patients with leprosy, comprising four multibacillary (MB) and four paucibacillary (PB); and eight non-leprosy controls, comprising four healthy house contacts (HHCs) and four endemic controls (ECs)]. The differences in the transcriptome response of PBMCs to M. leprae sonicate antigen were evaluated between leprosy patients and non-leprosy controls, and 12 differentially expressed genes (CCL2/MCP-1, IL-8, JAKM, ATP, ND1, SERP, FLJ10489, LINC00659, LOC34487, LOC101928143, MIR22, and NCF1C) were identified. The accuracy of the 12 differentially expressed genes was further validated for the diagnosis of leprosy using real-time quantitative PCR in 82 individuals (13 MB, 10 PB, 37 HHCs, and 22 ECs) in the validation cohort. We found that a 5 gene signature set IL-8, CCL2/MCP-1, SERP, LINC00659 and FLJ10489 had a suitable performance in discriminating leprosy from ECs. In addition, elevated expression of IL-8, CCL2/MCP-1, SERP and LINC00659 was associated with MB diagnosis compared with ECs, whereas increased expression of IL-8, CCL2/MCP-1, SERP and FLJ10489 was found to be useful biomarkers for PB diagnosis from ECs. Moreover, we found decreased expression of NCF1C among leprosy patients could distinguish leprosy from HHCs, whereas higher expression of CCL2 among MB than PB could distinguish different leprosy patients. In conclusion, among the 12 candidate host genes identified, a three gene signature IL-8, CCL2/MCP-1, and SERP showed the best performance in distinguishing leprosy patients from healthy controls. These findings may have implications for developing a rapid blood-based test for early diagnosis of leprosy.

Meta-analysis and field synopsis of genetic variants associated with the risk and severity of acute pancreatitis

Background

Genetic risk factors can provide insight into susceptibility for acute pancreatitis (AP) and disease progression towards (infected) necrotizing pancreatitis and persistent organ failure. The aim of the study was to undertake a systematic review of the genetic evidence for AP.

Methods

Online databases (MEDLINE, Embase, BIOSIS, Web of Science, Cochrane Library) were searched to 8 February 2018. Studies that reported on genetic associations with AP susceptibility, severity and/or complications were eligible for inclusion. Meta‐analyses were performed of variants that were reported by at least two data sources. Venice criteria and Bayesian false‐discovery probability were applied to assess credibility.

Results

Ninety‐six studies reporting on 181 variants in 79 genes were identified. In agreement with previous meta‐analyses, credible associations were established for SPINK1 (odds ratio (OR) 2·87, 95 per cent c.i. 1·89 to 4·34), IL1B (OR 1·23, 1·06 to 1·42) and IL6 (OR 1·64, 1·15 to 2·32) and disease risk. In addition, two novel credible single‐nucleotide polymorphisms were identified in Asian populations: ALDH2 (OR 0·48, 0·36 to 0·64) and IL18 (OR 1·47, 1·18 to 1·82). Associations of variants in TNF, GSTP1 and CXCL8 genes with disease severity were identified, but were of low credibility.

Conclusion

Genetic risk factors in genes related to trypsin activation and innate immunity appear to be associated with susceptibility to and severity of AP.

Association between Genetic Polymorphisms of Inflammatory Response Genes and Acute Pancreatitis

Inflammation plays a central role in the pathophysiology of acute pancreatitis (AP). We hypothesized that changes in the function of key components of the inflammatory cascade, caused by genetic polymorphisms, could determine the development and/or severity of AP. We studied the following polymorphisms in 269 patients: IL23R rs11209026, TNF rs1800629, RIPK2 rs42490, NOD2 rs9302752, MCP1 rs1024611 and NFKB1 rs28362491. The rs11209026 A allele was related to the presence of AP (p = 0.007261; OR = 1 .523). Epistasis analysis revealed that AP susceptibility was increased by interaction between IL23R rs11209026 and TNF rs1800629 (p = 1.205 × 10-5; ORinteraction = 4.031). The rs42490-G allele was associated with an increased risk of severe pancreatitis (p = 0.01583; OR = 2.736), severe or moderately severe pancreatitis (p = 0.04206; OR = 1.609), and death (p = 0.03226; OR = 3.010). In conclusion, these results point to a plausible role for genetic polymorphisms in IL23R and RIPK2 in the development and severity of AP.

Interleukin-6 significantly improves predictive value of systemic inflammatory response syndrome for predicting severe acute pancreatitis

BACKGROUND

Predicting severe acute pancreatitis (AP) is important for triage, prognosis, and designing therapeutic trials. Persistent systemic inflammatory response syndrome (SIRS) predicts severe AP but its diagnostic accuracy is suboptimal. Our objective was to study if cytokine levels could improve the predictive value of clinical variables for the development of severe AP.

METHODS

Consecutive patients with AP were included in a prospective cohort study at a tertiary care center. Serum levels of IL-6, TNF-α, IL-10, MCP-1, GM-CSF and IL-1β were measured at day 3 of onset of AP. Variables such as age, co-morbidity, etiology, SIRS, and cytokines were modeled to predict severe AP by multivariable regression analysis. Genotyping was done to correlate IL-6, TNF-α and MCP-1 gene polymorphisms with cytokine levels.

RESULTS

Of 236 patients with AP, 115 patients admitted within 7 days of onset formed the study group. 37 of the 115 (32%) patients developed organ failure. Independent predictors of organ failure were persistent SIRS (OR 34; 95% CI: 7.2-159) and day 3 serum IL-6 of >160 pg/ml (OR 16.1; 95% CI:1.8-142). IL-6 gene (-174 G/C) GG genotype was associated with significantly higher levels of IL-6 compared to CC/CG genotype. Serum IL-6 >160 pg/ml increased the positive predictive value of persistent SIRS from 56% to 85% and specificity from 64% to 95% for predicting OF without compromising its sensitivity and negative predictive value.

CONCLUSION

Serum IL-6 of >160 ng/ml added significantly to the predictive value of SIRS for severe AP.

Genetic Polymorphisms: A Novel Perspective on Acute Pancreatitis

Acute pancreatitis (AP) is a complex disease that results in significant morbidity and mortality. For many decades, it has compelled researchers to explore the exact pathogenesis and the understanding of the pathogenesis of AP has progressed dramatically. Currently, premature trypsinogen activation and NF-κB activation for inflammation are two remarkable hypotheses for the mechanism of AP. Meanwhile, understanding of the influence of genetic polymorphisms has resulted in tremendous development in the understanding of the advancement of complex diseases. Now, genetic polymorphisms of AP have been noted gradually and many researchers devote themselves to this emerging area. In this review, we comprehensively describe genetic polymorphisms combined with the latest hypothesis of pathogenesis associated with AP.

Chemokine genetic polymorphism in human health and disease

Chemokine receptor-ligand interaction regulates transmigration of lymphocytes and monocytes from circulation to the inflammatory sites. CC chemokine receptors, chemokine receptor 2(CCR2) and 5 (CCR5) are important in recruitment of immune cells as well as non-immune cells under pathological condition. CCR2, CCR5 and their ligands (CCL2 and CCL5) are major contributor to the autoimmune and inflammatory diseases and cancer. Currently studies are being done to explore genetic variations in chemokine genes and their involvement in diseases that could make clear disease severity and deaths. Conflicting results of studies in different populations and diseases promoted to investigate chemokines genetic polymorphisms in miscellaneous diseases. This study is aimed to evaluate the influence of chemokines genetic polymorphisms in pathogenesis and outcome of prevalent non infectious diseases. Present study demonstrates the likely role played by genetic variations in drug response and evolution. Moreover this study highlights chemokine as therapeutic target and diagnostic biomarker in pathological condition.