Association of transforming growth factor-β1 T869C, G915C, and C509T gene polymorphisms with rheumatoid arthritis risk

Genetic variations related to inflammation in suicidal ideation and behavior: A systematic review

BACKGROUND/OBJECTIVES

Immune-inflammatory changes have been found in all types of suicidal ideation and behavior (SIB), independently of associated mental disorders. Since several Single Nucleotide Polymorphisms (SNPs) affect the function of inflammation-related genes, we searched the literature for genetic variations potentially altering inflammatory processes in SIB.

METHODS

We included studies that looked for associations between SIB and SNPs in genes related to inflammatory processes. Case reports, literature reviews, and animal studies were excluded. Articles were retrieved from PubMed and PsycINFO databases, Google Scholar and GreySource Index until September 17th, 2022. Quality was assessed using Q-Genie.

RESULTS

We analyzed 32 studies. SIB has been associated with eighteen SNPs located in genes encoding for interleukin-8 (rs4073), C-reactive protein (rs1130864), tumor necrosis factor α (rs1800629, rs361525, and rs1099724), tumor necrosis factor receptor 2 (rs1061622), transforming growth factor β-1 (rs1982073), acid phosphatase 1 (rs7419262, rs300774), interleukin-10 (rs1800896), interferon γ (rs2430561), amino-carboxy muconate semialdehyde decarboxylase (rs2121337), interleukin 7 (rs10448044, rs10448042), macrophage migration inhibitory factor (rs755622), interleukin 1-α (rs1800587), and interleukin 1-β (rs1143634 and rs16944. A genome-wide association study reported one association at the threshold of significance with the rs300774 SNP, located in the 2p25 region containing ACP1 gene.

DISCUSSION

The studies included were methodologically and clinically diverse and of moderate quality. Their findings suggest that some inflammation-related SNPs could increase the likelihood of SIB but the evidence to date is insufficient. Further research using gene-gene (GxG) and gene-environment (GxE) approaches is warranted.

SYSTEMATIC REVIEW REGISTRATION

[https://www.crd.york.ac.uk], identifier [CRD42022296310].

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.

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.

Genetic Polymorphisms Associated with Rheumatoid Arthritis Development and Antirheumatic Therapy Response

Rheumatoid arthritis (RA) is the most common inflammatory arthropathy worldwide. Possible manifestations of RA can be represented by a wide variability of symptoms, clinical forms, and course options. This multifactorial disease is triggered by a genetic predisposition and environmental factors. Both clinical and genealogical studies have demonstrated disease case accumulation in families. Revealing the impact of candidate gene missense variants on the disease course elucidates understanding of RA molecular pathogenesis. A multivariate genomewide association study (GWAS) based analysis identified the genes and signalling pathways involved in the pathogenesis of the disease. However, these identified RA candidate gene variants only explain 30% of familial disease cases. The genetic causes for a significant proportion of familial RA have not been determined until now. Therefore, it is important to identify RA risk groups in different populations, as well as the possible prognostic value of some genetic variants for disease development, progression, and treatment. Our review has two purposes. First, to summarise the data on RA candidate genes and the increased disease risk associated with these alleles in various populations. Second, to describe how the genetic variants can be used in the selection of drugs for the treatment of RA.

Transforming growth factor-β1 gene polymorphism in psoriasis vulgaris

Background

Increased transforming growth factor beta 1 (TGF-β1) in the epidermis and serum has been found in psoriatic patients. The mechanism for this increase remains unclear.

Objective

To study the TGF-β1 gene polymorphism at codon 10 and its relation to psoriasis susceptibility in a sample of Egyptian patients.

Materials and methods

This cross-sectional study involved 70 patients with psoriasis vulgaris and 100 age- and sex- comparable healthy volunteers as a control group. Genomic DNA was prepared from peripheral blood lymphocytes from all subjects using QIAamp DNA mini kit (QIAGEN Inc., Germany). The TGF-β1 polymorphism was genotyped by PCR-based restricted fragment length polymorphism (PCR-RFLP) analysis. Amplification of codon 10, located in exon 1 of TGFβ1 gene was done through PCR reaction using gene-specific primers.

Results

Statistically significant difference was found between psoriasis patient and controls as regards TGF-β1 (T869C) polymorphism (P=0.045). The presence of TT genotype was associated with a 3-fold risk of psoriasis compared to CC genotype (P=0.016, OR: 3.13 95% CI: 1.24–7.88). T allele was significantly more frequent in psoriasis patients (P=0.017). TGF-β1 gene mutation was significantly higher among psoriasis patients with positive family history (P=0.007).

Conclusion

TGF-β1 gene polymorphism at codon 10 (T869C) is significantly associated with susceptibility to psoriasis in Egyptian patients. This polymorphism is more common in patients with a positive family history of psoriasis.

Transforming growth factor-beta 1 polymorphisms and anti-tuberculosis drug-induced liver injury. Polymorphisms in TGFβ1 and its relationship with anti-tuberculosis drug-induced liver injury

AIM

There is evidence to suggest that transforming growth factor-beta 1 takes part in a series of physiological and pathological processes in the human body, including wound healing, tissue fibrosis and embryonic development. We hypothesized that polymorphisms in the transforming growth factor-beta 1 gene single nucleotide polymorphisms (SNPs) were associated with anti-tuberculosis drug-induced liver injury (ATLI).

METHODS

In a prospective study, 280 newly diagnosed tuberculosis patients were followed up for three months after initiating anti-tuberculosis therapy. Tag-SNPs of transforming growth factor-beta 1 were genotyped with the MassARRAY platform. The associations between SNPs and ATLI were analyzed by logistic regression analysis adjusting for confounding factors.

RESULTS

Of the 280 patients recruited in this study, 33 were excluded during the three months of follow-up, and 24 were diagnosed with ATLI and were considered as the ATLI group. The remaining 223 subjects without ATLI were considered as the non-ATLI group. After correction for potential confounding factors using a multivariate logistic regression analysis, we found that the frequencies of polymorphisms and haplotypes of transforming growth factor-beta 1 were similar in patients with ATLI and without ATLI.

CONCLUSION

The present results suggest that transforming growth factor-beta 1 polymorphisms do not play essential roles in the pathogenesis of ATLI in Chinese patients.

Identification of potential genetic causal variants for rheumatoid arthritis by whole-exome sequencing

Rheumatoid arthritis (RA) is a highly prevalent chronic autoimmune disease. However, genetic and environmental factors involved in RA pathogenesis are still remained largely unknown. To identify the genetic causal variants underlying pathogenesis and disease progression of RA patients, we undertook the first comprehensive whole-exome sequencing (WES) study in a total of 124 subjects including 58 RA cases and 66 healthy controls in Han Chinese population. We identified 378 novel genes that were enriched with deleterious variants in RA patients using a gene burden test. The further functional effects of associated genetic genes were classified and assessed, including 21 newly identified genes that were involved in the extracellular matrix (ECM)-receptor interaction, protein digestion and absorption, focal adhesion and glycerophospholipid metabolism pathways relevant to RA pathogenesis. Moreover, six pathogenic variants were investigated and structural analysis predicted their potentially functional alteration by homology modeling. Importantly, five novel and rare homozygous variants (NCR3LG1, RAP1GAP, CHCHD5, HIPK2 and DIAPH2) were identified, which may exhibit more functional impact on RA pathogenesis. Notably, 7 genes involved in the olfactory transduction pathway were enriched and associated with RA disease progression. Therefore, we performed an efficient and powerful technique WES in Chinese RA patients and identified novel, rare and common disease causing genes that alter innate immunity pathways and contribute to the risk of RA. Findings in this study may provide potential diagnostic tools and therapeutic strategies for RA patients.

Polymorphisms of -800G/A and +915G/C in TGF-β1 gene and lung cancer susceptibility

We studied the relationship between the polymorphisms of −800G/A and +915G/C in transforming growth factor-β1 (TGF-β1) gene and lung cancer susceptibility. The sequence-specific primer polymerase chain reaction (PCR-SSP) technique was used to test 156 non-small cell lung cancer (NSCLC) patients that were selected as the observation group and 156 patients with pneumonia and tuberculosis that were selected as the control group (age and gender 1:1 proximal matching principle) and the polymorphisms of the first exon −800G/A and +915G/C TGF-β1 genes. The expression of TGF-β1 levels in peripheral blood was detected using ELISA. The proportion of −800G/A gene AA subtype and A allelic gene in the observation group was significantly higher than that in the control group, while the proportion of +915G/C gene CC subtype and C allelic gene was also significantly higher than that in the control group (P<0.05). The cancer risk [odds ratio (OR)] of patients with A allelic gene in −800G/A gene was 4.8 (95% CI=2.563–6.537, P<0.05), while the cancer risk (OR) of patients with C allelic gene in +915G/C gene was 4.7 (95% CI=2.317–5.864, P<0.05). The serum TGF-β1 expression levels of −800G/A gene AA subtype in the observation group was significantly higher than the GG type, GA type and the control group, while the TGF-β1 level of +915G/C gene CC subtype was significantly higher than the GG type, GC type and the control group (P<0.05). Therefore, the polymorphisms of −800G/A and +915G/C in TGF-β1 gene are closely related to the lung cancer susceptibility.

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.