PADI4 (rs2240340), PDCD1 (rs10204525), and CTLA4 (231775) gene polymorphisms and polyarticular juvenile idiopathic arthritis

Exploration of the association between the single-nucleotide polymorphism of co-stimulatory system and rheumatoid arthritis

Introduction

The human leukocyte antigen (HLA) has been linked to the majority of autoimmune diseases (ADs). However, non-HLA genes may be risk factors for ADs. A number of genes encoding proteins involved in regulating T-cell and B-cell function have been identified as rheumatoid arthritis (RA) susceptibility genes.

Methods

In this study, we investigated the association between RA and single-nucleotide polymorphisms (SNPs) of co-stimulatory or co-inhibitory molecules in 124 RA cases and 100 healthy controls without immune-related diseases [including tumor necrosis factor superfamily member 4 (TNFSF4), CD28, cytotoxic T-lymphocyte-associated protein 4 (CTLA4), and programmed cell death protein 1 (PDCD1)].

Results

The results showed that there were 13 SNPs associated with RA, including rs181758110 of TNFSF4 (CC vs. CT, p = 0.038); rs3181096 of CD28 (TT vs. CC + CT, p = 0.035; CC vs. TT, p = 0.047); rs11571315 (TT vs. CT, p = 0.045), rs733618 (CC vs. TT + CT, p = 0.043), rs4553808 (AA vs. AG vs. GG, p = 0.035), rs11571316 (GG vs. AG vs. AA, p = 0.048; GG vs. AG + AA, p = 0.026; GG vs. AG, p = 0.014), rs16840252 (CC vs. CT vs. TT, p = 0.007; CC vs. CT, p = 0.011), rs5742909 (CC vs. CT vs. TT, p = 0.040), and rs11571319 of CTLA4 (GG vs. AG vs. AA, p < 0.001; GG vs. AG + AA, p = 0.048; AA vs. GG + AG, p = 0.001; GG vs. AA, p = 0.008; GG vs. AG, p ≤ 0.001); and rs10204525 (TT vs. CT + CC, p = 0.024; TT vs. CT, p = 0.021), rs2227982 (AA vs. GG, p = 0.047), rs36084323 (TT vs. CT vs. CC, p = 0.022; TT vs. CT + CC, p = 0.013; CC vs. TT + CT, p = 0.048; TT vs. CC, p = 0.008), and rs5839828 of PDCD1 (DEL vs. DEL/G vs. GG, p = 0.014; DEL vs. DEL/G + GG, p = 0.014; GG vs. DEL + DEL/G, p = 0.025; DEL vs. GG, p = 0.007).

Discussion

Consequently, these SNPs may play an important role in immune regulation, and further research into the role of these SNPs of immune regulatory genes in the pathogenesis of RA is required.

PADI4 and IL-33 gene polymorphisms with susceptibility to systemic lupus erythematosus and juvenile idiopathic arthritis, a systematic review and meta-analysis

BACKGROUND

This study evaluated the association between peptidyl arginine deiminase type IV (PADI4) and interleukin 33 (IL-33) with systemic lupus erythematosus (SLE) and juvenile idiopathic arthritis (JIA).

METHOD

We searched the PubMed, Web of Science, Embase and Cochrane Library databases to retrieve articles published up to January 20, 2023. Stata/SE 17.0 (College Station, TX) software was used to estimate the odds ratios (ORs) and 95% confidence intervals (CIs). The cohort study, case-control study focusing on the PADI4, IL-33 polymorphism, and SLE, JIA were retrieved. The data included basic information of each study and the genotypes and allele frequencies.

RESULTS

Studies in PADI4 rs2240340 = 2 and 3 IL-33(rs1891385 = 3, rs10975498 = 2, rs1929992 = 4) were found in 6 articles. Overall, only the IL-33 rs1891385 show significant association between SLE in all 5 models. The results were OR (95% CI) = 1.528 (1.312, 1.778), P = .000 in Allele model (C vs A), OR (95% CI) =1.473 (1.092, 1.988), P = .000 in Dominant model (CC + CA vs AA), 2.302 (1.583, 3.349), P = .000 in Recessive model (CC vs CA + AA), 2.711 (1.845, 3.983), P = .000 in Homozygote model (CC vs AA), 5.568 (3.943, 7.863), P = .000 in Heterozygote model (CA vs AA). PADI4 rs2240340, IL-33 rs10975498, IL-33 rs1929992 were not found to be association with the risk of SLE and JIA. In gene model, statistically significant association was found between IL-33 rs1891385 and SLE in sensitivity analysis. Egger's publication bias plot showed there was no publication bias (P = .165). Only in recessive model the heterogeneity test was significant (I2 = 57.9%, P ≤ .093) of IL-33 rs1891385.

CONCLUSION

The current study suggests that in all 5 model, IL-33 rs1891385 polymorphism may be associated with genetic susceptibility to SLE. There was unclear association found between PADI4 rs2240340, IL-33 rs10975498, and IL-33 rs1929992 polymorphisms and SLE and JIA. Due to the limitations of included studies and the risk of heterogeneity, additional research is required to confirm our findings.

PROSPERO REGISTRATION NUMBER

CRD42023391268.

Role of the PADI family in inflammatory autoimmune diseases and cancers: A systematic review

The peptidyl arginine deiminase (PADI) family is a calcium ion-dependent group of isozymes with sequence similarity that catalyze the citrullination of proteins. Histones can serve as the target substrate of PADI family isozymes, and therefore, the PADI family is involved in NETosis and the secretion of inflammatory cytokines. Thus, the PADI family is associated with the development of inflammatory autoimmune diseases and cancer, reproductive development, and other related diseases. In this review, we systematically discuss the role of the PADI family in the pathogenesis of various diseases based on studies from the past decade to provide a reference for future research.

PADI4 and IL-33 gene polymorphisms associated with differential susceptibility to juvenile-onset systemic lupus erythematosus and juvenile idiopathic arthritis in Chinese children

BACKGROUND

Juvenile systemic lupus erythematosus (JSLE) and juvenile idiopathic arthritis (JIA) are two common types of autoimmune diseases in children with unclear pathogenesis. Both peptidyl arginine deiminase type IV (PADI4) and interleukin 33 (IL-33) are the key molecular involved in immune responses in autoimmune diseases. Usually, it may share the same risk genetic alleles for autoimmune diseases.

METHODS

So measurement of PADI4 and IL-33 polymorphisms was conducted with 303 healthy controls, 144 JSLE patients and 160 JIA patients in this study.

RESULTS

It demonstrated that there was a significant association between PADI4 genotypes (rs2240340: CT, CT + CC), IL-33 genotype (rs1929992: TT) and JSLE susceptibility in Southwest China population. While no significant association with the risk of JIA were observed no matter at allelic or genotypic levels.

CONCLUSIONS

Our study reveals the importance of PADI4 and IL-33 polymorphisms with JSLE risk and their roles in the development of the diseases need more further researches.

Positive regulators of T cell proliferation as biomarkers for predicting prognosis and characterizing the immune landscape in lung adenocarcinoma

Lung adenocarcinoma (LUAD) is the one of the most prevalent and fatal form of malignant tumors worldwide. Recently, immunotherapy is widely used in the treatment of patients with LUAD and has proved to be clinically effective in improve the prognosis of patients. But there still has been a tremendous thrust to further improve the efficacy of immunotherapy in individual patients with LUAD. The suppression of T cells and their effector functions in the tumor microenvironment (TME) of LUAD is one of the primary reasons for the low efficacy of immunotherapy in some patients with LUAD. Therefore, identifying positive regulators of T cell proliferation (TPRs) may offer novel avenues for LUAD immunotherapy. In this study, we comprehensively evaluated the infiltration patterns of TPRs in 1,066 patients with LUAD using unsupervised consensus clustering and identified correlations with genomic and clinicopathological characteristics. Three infiltrating TPR clusters were defined, and a TPR-related risk signature composed of nine TPRs was constructed using least absolute shrinkage and selection operator-Cox regression algorithms to classify the individual TPR infiltration patterns. Cluster 1 exhibited high levels of T cell infiltration and activation of immune-related signaling pathways, whereas cluster 2 was characterized by robust T cell immune infiltration and enrichment of pathways associated with carcinogenic gene sets and tumor immunity. Cluster 3 was characterized as an immune-desert phenotype. Moreover, the TPR signature was confirmed as an independent prognostic biomarker for drug sensitivity in patients with LUAD. In conclusion, the TPR signature may serve as a novel tool for effectively characterizing immune characteristics and evaluating the prognosis of patients with LUAD.

Underlying CTLA4 Deficiency in a Patient With Juvenile Idiopathic Arthritis and Autoimmune Lymphoproliferative Syndrome Features Successfully Treated With Abatacept-A Case Report

BACKGROUND

Functional variants of the cytotoxic T-lymphocyte antigen-4 (CTLA4) could contribute to the pathogenesis of disorders characterized by abnormal T-cell responses.

CASE PRESENTATION

We report a case of a 13-year-old girl who first presented with polyarticular juvenile idiopathic arthritis poorly responsive to treatment. During the following years the patient developed cytopenias, chronic lymphoproliferation, high values of T-cell receptor αβ+ CD4- CD8- double-negative T cells and defective Fas-mediated T cells apoptosis. Autoimmune lymphoproliferative syndrome was diagnosed and therapy with mycophenolate mofetil was started, with good hematological control. Due to the persistence of active polyarthritis, mycophenolate mofetil was replaced with sirolimus. In the following months the patient developed hypogammaglobulinemia and started having severe diarrhea. Histologically, duodenitis and chronic gastritis were present. Using the next generation sequencing-based gene panel screening, a CTLA4 mutation was detected (p.Cys58Serfs*13). At the age of 21 the patient developed acute autoimmune hemolytic anemia; steroid treatment in combination with abatacept were started with clinical remission of all symptoms, even arthritis.

CONCLUSIONS

Targeted immunologic screening and appropriate genetic tests could help in the diagnosis of a specific genetically mediated immune dysregulation syndrome, allowing to select those patients who can take advantage of target therapy, as in the case of abatacept in CTLA4 deficiency.

British Journal of Biomedical Science in 2020. What have we learned?

Each year the British Journal of Biomedical Science publishes a 'What have we learned' editorial designed to introduce readers within the major disciplines of laboratory medicine to developments outside their immediate area. In addition it is designed to inform a wider readership of the advances in the diagnosis and treatment of disease. To this end, in 2020 the journal published 39 articles covering the disciplines within Biomedical Science in the 4 issues comprising volume 77. These included a review of COVID-19 in this issue, 27 original articles, 6 Biomedical Science 'In Brief' and 4 case histories. 27 of the articles involved molecular techniques, with one of these comparing results with a mass spectrometry based method. The preponderance of molecular genetic studies gives us a good idea of the likely future direction of the disciplines.

Using Machine Learning Modeling to Explore New Immune-Related Prognostic Markers in Non-Small Cell Lung Cancer

OBJECTIVE

To find new immune-related prognostic markers for non-small cell lung cancer (NSCLC).

METHODS

We found GSE14814 is related to NSCLC in GEO database. The non-small cell lung cancer observation (NSCLC-OBS) group was evaluated for immunity and divided into high and low groups for differential gene screening according to the score of immune evaluation. A single factor COX regression analysis was performed to select the genes related to prognosis. A prognostic model was constructed by machine learning, and test whether the model has a test efficacy for prognosis. A chip-in-chip non-small cell lung cancer chemotherapy (NSCLC-ACT) sample was used as a validation dataset for the same validation and prognostic analysis of the model. The coexpression genes of hub genes were obtained by pearson analysis and gene enrichment, function enrichment and protein interaction analysis. The tumor samples of patients with different clinical stages were detected by immunohistochemistry and the expression difference of prognostic genes in tumor tissues of patients with different stages was compared.

RESULTS

By screening, we found that LYN, C3, COPG2IT1, HLA.DQA1, and TNFRSF17 is closely related to prognosis. After machine learning, we constructed the immune prognosis model from these 5 genes, and the model AUC values were greater than 0.9 at three time periods of 1, 3, and 5 years; the total survival period of the low-risk group was significantly better than that of the high-risk group. The results of prognosis analysis in ACT samples were consistent with OBS groups. The coexpression genes are mainly involved B cell receptor signaling pathway and are mainly enriched in apoptotic cell clearance. Prognostic key genes are highly correlated with PDCD1, PDCD1LG2, LAG3, and CTLA4 immune checkpoints. The immunohistochemical results showed that the expression of COPG2IT1 and HLA.DQA1 in stage III increased significantly and the expression of LYN, C3, and TNFRSF17 in stage III decreased significantly compared with that of stage I. The experimental results are consistent with the previous analysis.

CONCLUSION

LYN, C3, COPG2IT1, LA.DQA1, and NFRSF17 may be new immune markers to judge the prognosis of patients with non-small cell lung cancer.