Interaction between TGF-β1 (869C/T) polymorphism and biochemical risk factor for prediction of disease progression in rheumatoid arthritis

TGF-β signaling in health, disease, and therapeutics

Transforming growth factor (TGF)-β is a multifunctional cytokine expressed by almost every tissue and cell type. The signal transduction of TGF-β can stimulate diverse cellular responses and is particularly critical to embryonic development, wound healing, tissue homeostasis, and immune homeostasis in health. The dysfunction of TGF-β can play key roles in many diseases, and numerous targeted therapies have been developed to rectify its pathogenic activity. In the past decades, a large number of studies on TGF-β signaling have been carried out, covering a broad spectrum of topics in health, disease, and therapeutics. Thus, a comprehensive overview of TGF-β signaling is required for a general picture of the studies in this field. In this review, we retrace the research history of TGF-β and introduce the molecular mechanisms regarding its biosynthesis, activation, and signal transduction. We also provide deep insights into the functions of TGF-β signaling in physiological conditions as well as in pathological processes. TGF-β-targeting therapies which have brought fresh hope to the treatment of relevant diseases are highlighted. Through the summary of previous knowledge and recent updates, this review aims to provide a systematic understanding of TGF-β signaling and to attract more attention and interest to this research area.

Molecular Dynamic Simulations Unravel the Underlying Impact of Missense Mutation in Autoimmunity Gene PTPN22 on Predisposition to Rheumatoid Arthritis

Genetic mutations in various proteins have been implicated with increased risk or severity of rheumatoid arthritis (RA) in different population groups. In the present case-control study, we have investigated the risk association of single nucleotide mutations present in some of the highly reported anti-inflammatory proteins and/or cytokines, with RA susceptibility in the Pakistani subjects. The study involves 310 ethnically and demographically similar participants from whom blood samples were taken and processed for DNA extraction. Through extensive data mining, 5 hotspot mutations reported in 4 genes, that is, interleukin (IL)-4 (-590; rs2243250), IL-10 (-592; rs1800872), IL-10 (-1082; rs1800896), PTPN22 (C1858T; rs2476601), and TNFAIP3 (T380G; rs2230926), were selected for RA susceptibility analyses using genotyping assays. The results demonstrated the association of only 2 DNA variants [rs2243250 (odds ratio, OR = 2.025, 95% confidence interval, CI = 1.357-3.002, P = 0.0005 Allelic) and rs2476601 (OR = 4.25, 95% CI = 1.569-11.55, P = 0.004 Allelic)] with RA susceptibility in the local population. The former single nucleotide mutation was nonfunctional, whereas the latter, residing in the exonic region of a linkage-proven autoimmunity gene PTPN22, was involved in R620→W620 substitution. Comparative molecular dynamic simulations and free-energy calculations revealed a radical impact on the geometry/confirmation of key functional moieties in the mutant protein leading to a rather weak binding of W620 variant with the interacting receptor (SRC kinase). The interaction imbalance and binding instabilities provide convincing clues about the insufficient inhibition of T cell activation and/or ineffective clearance of autoimmune clones-a hallmark of several autoimmune disorders. In conclusion, the present research describes the association of 2 hotspot mutations in IL-4 promoter and PTPN22 gene with RA susceptibility in the Pakistani study cohort. It also details how a functional mutation in PTPN22 impacts the overall protein geometry, charge, and/or receptor interactions to contribute to RA susceptibility.

TGFB1 (rs1800470 and rs1800469) variants are independently associated with disease activity and autoantibodies in rheumatoid arthritis patients

To evaluate the association between TGFB1 + 869 T > C (rs1800470) and TGFB1-509 C > T (rs1800469) variants with susceptibility for rheumatoid arthritis (RA), disease activity, presence of rheumatoid factor (RF), anti-cyclic citrullinated peptide (anti-CCP) and TGF-β1 plasma levels. A total of 262 patients with RA and 168 control individuals were tested for the TGFB1 variants using a TaqMan genotyping assay. Disease activity score in 28 joints (DAS28) classified RA patients into two groups of disease activity: remission/mild (DAS28 < 3.2) and moderate/severe (DAS28 ≥ 3.2). TGFB1 + 869 T > C and -509 C > T variants, independently or in haplotype combination, were not associated with RA's susceptibility. Patients with the TGFB1-509 TT genotype had a higher frequency of DAS28 ≥ 3.2 (OR 2.58, 95% CI 1.04-6.42, p = 0.041). The TGFB1 + 869 CC genotype in seropositive patients for RF or anti-CCP was associated with decreased TGF-β1 levels (p = 0.032 and p = 0.039, respectively). Patients with the TGFB1 + 869 C allele and elevated RF titles demonstrated a higher frequency of DAS28 ≥ 3.2 (p = 0.037). The TGFB1 + 869 T > C variant was associated with diminished TGF-β1 plasma levels and moderate/severe activity disease only in seropositive RF patients. This is the first study showing that TGF-β1 plasma levels can be modulated by the interaction between the TGFB1 + 869 T > C variant and autoantibodies. However, the TGFB1-509 C > T variant was associated with moderate/severe activity disease, independently of autoantibodies positivity. Thus, our findings suggest that TGFB1 + 869 T > C and -509 C > T variants can predict activity disease in different RA patient subgroups.

TGF-β1 +869T/C (rs1982073) gene polymorphism and susceptibility to rheumatoid arthritis: Updated systematic review and meta-analysis

Rheumatoid arthritis (RA) is a complex autoimmune disease that affects about 1% of the world's population. The conclusions about the relationship between TGF gene polymorphism and the risk of RA are still inconsistent. Therefore, we performed a meta-analysis to re-evaluate the relationship between TGF-β1 T869C gene polymorphism and the risk of rheumatoid arthritis.

METHOD

We performed a systematic electronic search in PubMed, Embase, Elsevier, Web of Science, Cochrane Library, Medline and China National Knowledge Infrastructure database (up to August 2020). In the subgroup analysis, we divide the research into three groups: Asian, European and Mediterranean, The combined OR and 95%CI of the five models (allele model, homozygous model, heterozygous model, dominant model, recessive model) were calculated, respectively.

RESULTS

15 case-control studies (14 articles) were involved in this meta-analysis, including 2103 cases and 2143 healthy controls. In the overall analysis, it showed that there may be an significant association between TGF-β1+869T/C polymorphism and RA sensitivity (allele model, T vs. C: OR=1.444, 95% CI=1.171-1.782, P=0.001; homozygous model, TT vs. CC: OR=1.910, 95% CI=1.322-2.761, P=0.001; heterozygous model, CT vs. CC: OR=1.558, 95% CI=1.179-2.059,P=0.002; dominant model, TT+CT vs. CC: OR= 1.742, 95% CI=1.303-2.329, P=0.001; recessive model, TT vs. CT+CC: OR=1.400, 95% CI= 1.058-1.852, P=0.018).However, the results of ethnic subgroup analysis indicated that rs1982073 was not associated with RA risk in Europeans(allele model, T vs. C: OR=0.993, 95% CI=0.849-1.162, P=0.931, I² <0.1%, P>0.1).

CONCLUSION

In summary, our meta-analysis showed that the rs1982073 T allele does not increase RA susceptibility in Europeans.

The association of transforming growth factor beta 1 gene polymorphisms with arthritis: a systematic review and meta-analysis

The objective of this study was to explore the association between transformation growth factor beta 1 (TGF-β1) gene polymorphisms and different types of arthritis. PubMed, Medline, Web of Science, Cochrane Library, Biosis and four Chinese databases: China Biology Medicine, China National Knowledge Infrastructure, Wanfang and CQVIP, were searched. Studies that analyzed the association of the TGF-β1 polymorphisms with different types of arthritis were included. OR, 95% confidence interval and P value were calculated in three models including allele, dominant and recessive models, using D + L method. The Newcastle-Ottawa Scale was used to assess the quality of the included studies. TGF-β1 869T > C polymorphism was significantly associated with rheumatoid arthritis (RA) in allele and recessive models, but not in dominant model (allele model T vs. C: OR = 1.30, 95% CI = 1.13-1.49, P < 0.001; recessive model CC vs. TT + TC: OR = 0.57, 95% CI = 0.43-0.76, P < 0.001; dominant model TT vs. TC + CC: OR = 1.20, 95% CI = 0.99-1.45, P = 0.063). Additionally, allele and recessive models showed that TGF-β1 -509C > T was significantly correlated with RA susceptibility, while dominant model revealed nonsignificant correlation (allele model: C vs. T: OR = 1.51; 95% CI = 1.00-2.28; P = 0.049; recessive model: TT vs. CC + TC: OR = 0.52, 95% CI = 0.37-0.72, P = 0.000; dominant model: CC vs. TT + TC: OR = 1.48; 95% CI = 0.79-2.76; P = 0.223). However, no significant association was found between TGF-β1 polymorphisms and ankylosing spondylitis (AS) or osteoarthritis (OA) risk. This study demonstrated that 869T > C, -509 C > T polymorphisms of TGF-β1 gene were associated with increased susceptibility of RA, while polymorphisms of TGF-β1 gene were not associated with OA and AS. These findings suggest that studying TGF-β1 genotype may be useful in the prevention and management of RA. However, more studies are needed to evaluate the association of TGF-β1 gene polymorphisms with the susceptibility of OA and AS.

Association between gene polymorphisms of TGF-β and Smad3 and susceptibility to arthritis: a meta-analysis

OBJECTIVES

This meta-analysis was performed to investigate the associations between single-nucleotide polymorphisms (SNPs) in the TGF- β and Smad3 genes and arthritis.

METHODS

A meta-analysis was performed in STATA 14.0, with publication bias and meta-regression analysis. All types of arthritis were included, and subgroup analyses were performed to interpret variations among different types of arthritis.

RESULTS

Twenty-two qualified studieswere selected to analyze the pooled accuracy, and 4 SNP sites were involved. The analysis of the TGFB1 SNP rs1800470 showed an association with arthritis in allelic (P = 0.011), homozygous (P = 0.034) and recessive (P = 0.021) genetic models. The analysis of the TGFB1 SNP rs1800471 demonstrated a close association with rheumatoid arthritis (RA) in homozygous (P = 0.000, 95%) and recessive (P = 0.008) models. The analysis of the SMAD3 SNP rs12901499 revealed a close association with osteoarthritis (OA) in the allelic (P = 0.001) model.

CONCLUSION

This research showed that genetic variants of the TGF-β pathway impact arthritis. The polymorphisms rs1800470, rs1800471 and rs12901499 were correlated with a higher prevalence of arthritis.

Association of ITGAV polymorphisms and risk of rheumatoid arthritis: evidence from a meta-analysis

OBJECTIVE

Currently published papers regarding the relationship between integrin alpha V (ITGAV) gene polymorphisms and rheumatoid arthritis (RA) are contradictory. The aim of this meta-analysis was to evaluate the associations between the ITGAV gene polymorphisms and RA risk.

METHODS

Comprehensive literature search based on four electronic databases was applied to retrieve all related data. Two independent reviewers screened each article for eligibility according to the predetermined inclusion criteria. Pooled odds ratios (ORs) and 95% confidence intervals (95% CIs) were used to assess associations between ITGAV gene polymorphisms and RA.

RESULTS

Six articles involving 5794 RA patients and 5297 healthy controls were included in this meta-analysis. The combined data indicated that rs3911238, rs3738919, rs3768777, and rs10174098 in ITGAV gene were not associated with RA risk in the overall population. However, stratification analysis by ethnicity suggested that rs3768777 was related with risk of RA among Caucasian population (OR 3.51, 95%CI 2.06, 5.97; P < 0.0001), but not among Asian population (OR 1.06, 95%CI 0.67, 1.69; P = 0.81).

CONCLUSIONS

Our meta-analysis confirmed that the ITGAV gene rs3768777 polymorphisms might be a risk factor among Caucasians. However, larger-scale studies in Caucasian population are still warranted to confirm the findings of our study.

Detection of IL-37 in peripheral blood of patients with rheumatoid arthritis and its clinical significance

The study aimed to detect the expression level of interleukin-37 (IL-37) in patients with rheumatoid arthritis (RA) and explore its clinical significance. A total of 40 peripheral blood samples from active and stable RA patients were collected (40 patients with RA), and peripheral blood from 40 healthy volunteers was used as the control group. Peripheral blood serum and peripheral blood mononuclear cells (PBMCs) were isolated. The expression of IL-37 mRNA in PBMCs was detected by real-time fluorescence quantitative PCR. Serum levels of IL-37, rheumatoid factor (RF), and anticyclic citrullinated peptide antibody (CCP) were measured by enzyme-linked immunosorbent assay (ELISA). The results were then calculated and analyzed. The results showed that expression of IL-37 mRNA in the PBMCs of patients with RA was significantly higher than that in the control group ( P < 0.05). Expression of IL-37 mRNA in the PBMCs of the active period group was significantly higher than that in the stable period group ( P < 0.05). IL-37 levels in patients with RA were significantly higher than those of the control group ( P < 0.05). IL-37 levels in the active period group were also significantly higher than those of the stable period group ( P < 0.05). The comparative analysis of RF and anti-CCP antibody levels showed that IL-37 was positively correlated with RF and anti-CCP levels in patients with RA. In conclusion, the expression level of IL-37 in peripheral blood of RA patients was significantly higher than that of normal control group, and it was correlated with RF and CCP antibody levels, indicating that IL-37 plays an important role in the development of RA.

Methylene tetrahydrofolate reductase, transforming growth factor-β1 and lymphotoxin-α genes polymorphisms and susceptibility to rheumatoid arthritis

BACKGROUND

Rheumatoid arthritis is a widely prevalent autoimmune disorder with suggested genetic predisposition.

OBJECTIVES

The aim of this study is to detect the pattern of genetic polymorphism of methylene tetrahydrofolate reductase (MTHFR C677 T and A1298 C), transforming growth factor-β1 (TGF-β1 T869 C) and lymphotoxin-α (LT-α A252G) in patients having rheumatoid arthritis and correlate these patterns to disease activity and serum levels of tumor necrosis factor-alpha (TNF-α), B-Cell Activating Factor (BAFF), and osteopontin.

METHODS

A total of 194 subjects, 90 controls and 104 patients with rheumatoid arthritis were genotyped for MTHFR C677 T and A1298 C, TGF-β1 T869 C and LT-α A252G polymorphisms using a methodology based on PCR-RFLP. Also serum levels of TNF-α, osteopontin and BAFF were measured by ELISA kits.

RESULTS

The CT genotype and T allele of MTHFR C677 T and GG genotype and G allele of LT-α A252G are associated with the risk of RA and with higher levels of the pro-inflammatory cytokine, TNF-α in patients with rheumatoid arthritis.

CONCLUSION

Our findings suggest that there is association between MTHFR C677 T and LT-α A252G genes polymorphisms and increased risk of RA in this sample of Egyptian population.

Genetic Case-Control Study for Eight Polymorphisms Associated with Rheumatoid Arthritis

Rheumatoid arthritis (RA) is an autoimmune disease which has a significant socio-economic impact. The aim of the current study was to investigate eight candidate RA susceptibility loci to identify the associated variants in Egyptian population. Eight single nucleotide polymorphisms (SNPs) (MTHFR—C677T and A1298C, TGFβ1 T869C, TNFB A252G, and VDR—ApaI, BsmI, FokI, and TaqI) were tested by genotyping patients with RA (n = 105) and unrelated controls (n = 80). Associations were tested using multiplicative, dominant, recessive, and co-dominant models. Also, the linkage disequilibrium (LD) between the VDR SNPs was measured to detect any indirect association. By comparing RA patients with controls (TNFB, BsmI, and TaqI), SNPs were associated with RA using all models. MTHFR C677T was associated with RA using all models except the recessive model. TGFβ1 and MTHFR A1298C were associated with RA using the dominant and the co-dominant models. The recessive model represented the association for ApaI variant. There were no significant differences for FokI and the presence of RA disease by the used models examination. For LD results, There was a high D′ value between BsmI and FokI (D′ = 0.91), but the r² value between them was poor. All the studied SNPs may contribute to the susceptibility of RA disease in Egyptian population except for FokI SNP.

Effect of MTHFR, TGFβ1, and TNFB polymorphisms on osteoporosis in rheumatoid arthritis patients

Diseases of the immune and the skeletal systems should be studied together for the deep interaction between them. Many studies consider osteoporosis (OP) as a risk factor for the prediction of disease progression in rheumatoid arthritis (RA). The aim of this research is to study the effect of four single nucleotide polymorphisms (SNPs) on RA patients with and without OP. The examined SNPs (MTHFR (C677T, and A1298C), TGFβ1 (T869C), and TNFB (A252G)) were tested by genotyping 17 RA patients with OP and 72 RA patients without OP. Associations were tested using four models (multiplicative, dominant, recessive, and co-dominant). The studied SNPs were not significantly associated with the risk of OP in RA. MTHFR, TGFβ1, and TNFB polymorphisms don't appear to be clinically useful genetic markers for predicting RA severity in Egyptian women population.

Combined effects of TGFB1 +869 T/C and +915 G/C polymorphisms on acute rejection risk in solid organ transplant recipients: a systematic review and meta-analysis

Background

Transforming growth factor-beta 1(TGF-β1) is involved in the development of acute rejection (AR) episodes in solid organ transplant recipients; and a number of studies have been conducted to investigate the combined effects of human TGF-β1 gene (TGFB1) +869 T/C and +915 G/C polymorphisms on AR risk. However, the results obtained are inconclusive.

Methods

Eligible studies that investigated the haplotypic association between TGFB1 +869 T/C and +915 G/C polymorphisms and AR risk were comprehensively searched in the PUBMED, EMBASE, China National Knowledge Infrastructure, and Wanfang Database. Statistical analyses were performed by using STATA 12.0 and Review Manager 5.0.

Results

Fourteen eligible studies with 565 AR cases and 1219 non-AR cases were included. Overall, a significantly decreased risk was detected in patients carried with intermediate producer (IP) haplotypes (T/C G/C, T/T G/C, and C/C G/G) and/or low producer (LP) haplotypes (C/C G/C, C/C C/C, T/T C/C, and T/C C/C) compared with high producer (HP) haplotypes (T/T G/G and T/C G/G; IP vs. HP: OR = 0.75, 95% CI, 0.58–0.96, P _{heterogeneity}  = 0.238; IP/LP vs. HP: OR  = 0.77, 95% CI, 0.61–0.98, P _{heterogeneity}  = 0.144). In addition, subgroup analysis by transplant types demonstrated a similar association in patients receiving heart transplant (IP vs. HP: OR  = 0.32, 95% CI, 0.14–0.73, P _{heterogeneity}  = 0.790; IP/LP vs. HP: OR  = 0.41, 95% CI, 0.20–0.85, P _{heterogeneity}  = 0.320).

Conclusions

The current meta-analysis and systematic review indicated that recipient TGFB1 HP haplotypes were significantly associated with an increased risk for AR in solid organ transplant recipients, particularly patients receiving cardiac allograft.