The association of common autoimmune diseases with autoimmune thyroiditis: a two-sample Mendelian randomization study.

Objective: Numerous observational and retrospective studies have demonstrated an association between Autoimmune Thyroiditis (AIT) and various systemic Autoimmune Diseases (AIDs). However, the causal relationship between them remains uncertain. This study aims to investigate the causal link between AIT and diverse types of AIDs utilizing the Mendelian Randomization (MR) method. Method: We assessed the causal relationship between AIT and eight prevalent AIDs. Summary statistics from genome-wide association studies (GWAS) were sourced from the FinnGen biobank and IEU Open GWAS database. Two-sample MR analyses were conducted, with the primary statistical approach being the Inverse Variance Weighting (IVW) method. This was complemented by a series of sensitivity analyses, and the robustness of the findings was evaluated through the estimation of heterogeneity and pleiotropy. Results: When AIT was considered as the outcome, MR evidence suggested an association between Rheumatoid arthritis (RA), Type 1 diabetes (T1D), and Systemic lupus erythematosus (SLE) with AIT. Utilizing the Inverse Variance Weighting (IVW) method, we observed an increased risk of AIT with exposure to RA (P = 0.024, OR=1.25; 95% CI = 1.03, 1.52), T1D (P < 0.001, OR=1.27 95% CI = 1.11,1.46), and SLE (P = 0.037, OR=1.14; 95% CI = 1.04,1.26). Conversely, no significant genetic causal relationship with AIT was found for Sjögren's syndrome (SS), Ankylosing Spondylitis (AS), Multiple sclerosis (MS), Crohn's disease (CD), and Ulcerative colitis (UC). Conclusion: This study identified RA, T1D, and SLE as triggering factors for AIT. The incidence rate of AIT in patients with RA, T1D, and SLE may be higher than that in the general population. Therefore, individuals with these three diseases should undergo regular monitoring of thyroid-related indicators.

Genetically predicted circulating concentrations of micronutrients and risk of autoimmune thyroiditis: a Mendelian randomized study.

Background: Micronutrients play pivotal roles in modulating various aspects of the immune response. However, the existing literature on the association between micronutrients and autoimmune thyroiditis (AIT) remains limited and contentious. To address this gap, we conducted Mendelian randomization (MR) to investigate potential links between genetically predicted concentrations of six micronutrients (Copper (Cu), Iron (Ir), Calcium (Ca), Vitamin D (VD), Vitamin C (VC), Zinc (Zn)) and the risk of AIT. Method: Utilizing summary statistics from genome-wide association studies (GWAS) in individuals of European descent, we employed MR methodologies to elucidate the interplay between micronutrients and AIT. Three distinct MR techniques were employed: Inverse Variance Weighted (IVW), MR-Egger regression, and Weighted Median Estimator (WME). Additionally, we evaluated outcome heterogeneity using Cochran's Q statistic and assessed pleiotropy using the MR-Egger intercept. Result: IVW analysis revealed no substantial evidence supporting a significant impact of genetically predicted micronutrient concentrations on AIT risk (Cu: OR = 0.918, P = 0.875; Ir: OR = 0.653, P = 0.264; Ca: OR = 0.964, P = 0.906; VD: OR = 0.717, P = 0.378; VC: OR = 0.986, P = 0.875; Zn: OR = 0.789, P = 0.539). Cochran's Q test for IVW indicated no notable heterogeneity. Moreover, the MR-Egger intercept method suggested the presence of horizontal pleiotropy between serum VC levels and AIT (MR-Egger intercept = -0.037, p = 0.026), while no such pleiotropy was observed for other micronutrients. Conclusion: Our MR analysis does not support a causal relationship between genetically predicted concentrations of six micronutrients (Cu, Ir, Ca, VD, VC, and Zn) and the risk of AIT.

A CD3G homozygous pathogenic variant in a Chinese child with lupus-like disease, autoimmune thyroiditis and immunodeficiency.

BACKGROUND: The T-cell receptor (TCR)/CD3 complex plays a crucial role in T-cell development and immune regulation. CD3G gene encodes one of the CD3 subunits named CD3γ, and its deficiency can cause autoimmune disorders, immunodeficiency and recurrent infections. To date, only 13 patients with CD3G variants have been reported. CASE REPORT: We report a 10-year-old Chinese boy presented with lupus-like disease in addition to autoimmune thyroiditis, asthma, immunodeficiency and recurrent infection. Flow cytometric analysis revealed apparently decreased levels of CD3+ and CD8+ T cells but mildly decreased CD4+ T cells. However, the activation of T cells and B cells increased. RESULTS: Trio-based whole-exome sequencing revealed a homozygous pathogenic variant (c.213delA, p.Lys71fs) of CD3G gene in the proband. His parents were both heterozygous carriers of this variant. CONCLUSION: This is the first patient who met the diagnostic criteria for systemic lupus erythematosus by the Systemic Lupus International Collaborating Clinics (SLICC) group. In addition to low T cells and low Treg cells, our study further revealed T cells and B cells activation enhanced in CD3γ deficiency patient, which may play an important role in autoimmunity. We believe that our study makes a significant contribution to the literature and will provide further insight into CD3γ deficiency and monogenic lupus.

Identification and functionalization of thyrotropin receptor antibodies with different antigenic epitopes.

One of the sensitive markers for autoimmune thyroid disease (AITD) clinical identification is thyroid-stimulating hormone receptor antibodies (TRAbs). To quickly distinguish TRAb with distinct antigenic epitopes, a straightforward and uncomplicated technique has not yet been created. The objective of this study is to search for molecular diagnostic targets for different types of AITD {Graves' disease (GD), Graves' orbitopathy (GO), GD with third-degree goiter [GD(3)], hypothyroidism combined with positive TRAb [HT(TRAb+)]} as molecular diagnostic targets. Following action on thyroid cells, differential genes (DEGs) generated by TRAb with distinct antigenic epitopes were detected and identified by RNA sequencing (RNA-Seq), bioinformatics analysis, and quantitative reverse transcription-polymerase chain reaction (RT-qPCR) in the serum of patients with AITD. Using the 5-ethynyl-2'-deoxyuridine (EdU) assay, the effect of coculturing thyroid cells with different antigenic TRAb epitopes on the cells' capacity to proliferate was investigated. Bioinformatics analysis and RT-qPCR validation identified one GD key gene alpha 2-HS glycoprotein (AHSG), two GO key genes [adrenoceptor alpha 1D (ADRA1D) and H2B clustered histone 18 (H2BC18)], two GD(3) key genes [suppressor of cytokine signaling 1 (SOCS1) and cytochrome b-245 beta (CYBB)], and one HT(TRAb+) key gene (MASP2). Correlation analysis and ROC curves showed that the abovementioned genes could be used as molecular diagnostic targets for different types of AITD. Finally, EdU results showed that TRAb inhibited thyroid cell proliferation in the HT(TRAb+) group compared with the normal control group, whereas the remaining three groups promoted thyroid cell proliferation, with a statistically significant difference (P < 0.05). We identified six key genes for different types of AITD, which have diagnostic value for different types of AITD. Meanwhile, we found that TRAbs with different antigenic epitopes in AITD have different biological functions.NEW & NOTEWORTHY We identified six molecular targets of different types of AITD [GD, GO, GD(3), and HT(TRAb+)], which have diagnostic value for different types of AITD. Meanwhile, we found that TRAb with different antigenic epitopes extracted from the sera of patients with AITD had different biological functions, which also provided a new idea for further research on the mechanism of action of TRAb with different antigenic epitopes in AITD.

Start codon variant in LAG3 is associated with decreased LAG-3 expression and increased risk of autoimmune thyroid disease.

Autoimmune thyroid disease (AITD) is a common autoimmune disease. In a GWAS meta-analysis of 110,945 cases and 1,084,290 controls, 290 sequence variants at 225 loci are associated with AITD. Of these variants, 115 are previously unreported. Multiomics analysis yields 235 candidate genes outside the MHC-region and the findings highlight the importance of genes involved in T-cell regulation. A rare 5'-UTR variant (rs781745126-T, MAF = 0.13% in Iceland) in LAG3 has the largest effect (OR = 3.42, P = 2.2 × 10-16) and generates a novel start codon for an open reading frame upstream of the canonical protein translation initiation site. rs781745126-T reduces mRNA and surface expression of the inhibitory immune checkpoint LAG-3 co-receptor on activated lymphocyte subsets and halves LAG-3 levels in plasma among heterozygotes. All three homozygous carriers of rs781745126-T have AITD, of whom one also has two other T-cell mediated diseases, that is vitiligo and type 1 diabetes. rs781745126-T associates nominally with vitiligo (OR = 5.1, P = 6.5 × 10-3) but not with type 1 diabetes. Thus, the effect of rs781745126-T is akin to drugs that inhibit LAG-3, which unleash immune responses and can have thyroid dysfunction and vitiligo as adverse events. This illustrates how a multiomics approach can reveal potential drug targets and safety concerns.

Genetically predicted metabolites mediate the causal associations between autoimmune thyroiditis and immune cells.

Introduction: We aimed to comprehensively investigate the causal relationship between 731 immune cell traits and autoimmune thyroiditis (AIT) and to identify and quantify the role of 1400 metabolic traits as potential mediators in between. Methods: Using summary-level data from genome-wide association studies (GWAS) we performed a two-sample bidirectional Mendelian randomization (MR) analysis of genetically predicted AIT and 731 immune cell traits. Furthermore, we used a two-step MR analysis to quantify the proportion of the total effects (that the immune cells exerted on the risk of AIT) mediated by potential metabolites. Results: We identified 24 immune cell traits (with odds ratio (OR) ranging from 1.3166 6 to 0.6323) and 10 metabolic traits (with OR ranging from 1.7954 to 0.6158) to be causally associated with AIT, respectively. Five immune cell traits (including CD38 on IgD+ CD24-, CD28 on CD28+ CD45RA+ CD8br, HLA DR+ CD4+ AC, TD CD4+ %CD4+, and CD8 on EM CD8br) were found to be associated with the risk of AIT, which were partially mediated by metabolites (including glycolithocholate sulfate, 5alpha-androstan-3alpha,17beta-diol disulfate, arachidonoylcholine, X-15486, and kynurenine). The proportion of genetically predicted AIT mediated by the identified metabolites could range from 5.58% to 17.7%. Discussion: Our study identified causal associations between AIT and immune cells which were partially mediated by metabolites, thus providing guidance for future clinical and basic research.

Association between Vitamin D Receptor Gene Polymorphism (Fok 1), Vitamin D Status and Autoimmune Thyroiditis.

Autoimmune thyroiditis gradually destroys the thyroid gland leading to hypothyroidism and may even lead to papillary thyroid carcinoma. Deficiency of Vitamin D has been linked to development of autoimmunity. Single nucleotide polymorphisms of the Vitamin D receptor gene have associated with autoimmune diseases in several studies. In this hospital based non interventional cross-sectional study Vitamin D receptor gene was studied for FokI (rs2228570) polymorphism from purified DNA in forty-eight adult cases and fifty age and sex matched healthy controls. This study was conducted in the department of Biochemistry, Calcutta National Medical College, Kolkata, West Bengal, India from January 2021 to July 2022. Their DNA was isolated using phenol chloroform method and were analysed for the related single nucleotide polymorphism by restriction digestion using appropriate restriction enzymes after amplification by PCR. Differences in allele frequencies between two groups were estimated by chi square and odds ratio test. Any potential association between the vitamin D anti TPO antibody and thyroid hormone status with polymorphic variations were assessed by post hoc ANOVA among the three genotypes. The distribution of FF genotype was significantly higher among the case group (Χ²=10.2788, p=0.006). The odds ratio for the allele F was significantly higher in case group for a range of 1.97 to 5.94 for 95 percent confidence interval (Χ²=13.9678, p=<0.001). The genotype FF group had significantly lowest Vitamin D (p=0.008) and highest Anti TPO ab (p=0.031) compared to Ff and ff genotypes. Thus, significant association was revealed between the VDR gene Fok1(rs2228570) polymorphism and autoimmune thyroiditis with the predominance of FF genotype being a strong susceptibility factor for autoimmune thyroiditis and Vitamin D deficiency in the studied population of Eastern India.

Associations between immune cell traits and autoimmune thyroid diseases: a bidirectional two-sample mendelian randomization study.

Autoimmune thyroid diseases (AITDs), mainly including Graves' disease (GD) and Hashimoto's thyroiditis (HT), are common autoimmune disorders characterized by abnormal immune responses targeting the thyroid gland. We conducted a bidirectional two-sample MR analysis using the largest dataset of peripheral immune cell phenotypes from Sardinia, and the AITD dataset from the 10th round of the FinnGen and the UK Biobank project. Instrumental variables (IVs) were rigorously selected based on the three assumptions of MR and analyzed using the Wald ratio, inverse-variance weighted (IVW), MR-Egger, and weighted median methods. Additionally, sensitivity analyses were performed using Cochrane's Q, the Egger intercept, the MR-PRESSO, and the leave-one-out (LOO) method to ensure the robustness of the results. The Steiger test was utilized to identify and exclude potential reverse causation. The results showed that 3, 3, and 11 immune cell phenotypes were significantly associated with the risk of AITD. In GD, the proportion of naive CD4-CD8- (DN) T cells in T cells and the proportion of terminally differentiated CD4+T cells in T cells showed the strongest inducing and protective effects, respectively. In HT, lymphocyte count and CD45 on CD4+T cells showed the strongest inducing and protective effects, respectively. In autoimmune hypothyroidism, CD127 CD8+T cell count and terminally differentiated DN T cell count exhibited the strongest inducing and protective effects, respectively. Through MR analysis, our study provides direct genetic evidence of the impact of immune cell traits on AITD risk and lays the groundwork for potential therapeutic and diagnostic target discovery.

A Mendelian randomization study of the effect of selenium on autoimmune thyroid disease.

OBJECTIVE: The impact of selenium on autoimmune thyroid disease (AITD) is a subject of ongoing debate. This study aimed to analyze the causal correlations of selenium with autoimmune thyroiditis (AIT), autoimmune hyperthyroidism (AIH), and Graves' disease (GD) by Mendelian randomization (MR). MATERIALS AND METHODS: Single nucleotide polymorphisms related to selenium, AIT, AIH, and GD were sourced from the IEU Open GWAS project and FinnGen. Exposure-outcome causality was assessed using inverse variance weighted, MR-Egger, and weighted median. Horizontal pleiotropy was examined using the MR-Egger intercept, heterogeneity was evaluated with Cochran's Q test, and the robustness of the results was confirmed via leave-one-out sensitivity analysis. RESULTS: The MR analysis revealed that selenium did not exhibit a causal relationship with AIT (OR 0.993, 95% CI 0.786 to 1.108, p=0.432), AIH (OR 1.066, 95% CI 0.976 to 1.164, p=0.154), or GD (OR 1.052, 95% CI 0.984 to 1.126, p=0.138). Moreover, the MR-Egger intercept and Cochran's Q test demonstrated the absence of horizontal pleiotropy or heterogeneity in these results (p>0.05). Sensitivity analysis affirmed the robustness of these results. CONCLUSIONS: This MR analysis concluded that selenium was not linked to AIT, AIH, or GD risk. Therefore, indiscriminate selenium supplementation is not advisable for AITD patients without concurrent selenium deficiency.

The causal relationship between vitiligo and autoimmune thyroid diseases: A bidirectional two-sample Mendelian randomization analysis.

BACKGROUND: Vitiligo is an acquired autoimmune depigmented disorder characterized by the presence of white and well-defined patches on the skin, mucous membrane, or both. It is associated with a significant disease burden and has a profoundly impacts patients' quality of life. Autoimmune thyroid diseases (AITDs) result from an autoimmune system dysregulation, leading to an erroneous immune attack on the thyroid gland. Previous observational and epidemiological studies have suggested the association between vitiligo and AITDs. However, the bidirectional cause-effect relationship between vitiligo and AITDs has not been formally assessed. METHOD: Two-sample bidirectional Mendelian randomization (MR) analysis was conducted to explore potential causal relationships between genetically increased risk of vitiligo and AITDs, using summary statistics from genome-wide association studies in European populations. Causal effects were primarily estimated using the inverse variance weighted method, and additional quality control was performed using the MR-Egger, weighted median, simple mode, and weight mode methods. Sensitivity analysis was conducted to assess the robustness of the results. RESULTS: The forward MR analysis showed a positive causal relationship between vitiligo and autoimmune thyroiditis (AIT), autoimmune hyperthyroidism (AIH), and Graves' disease (GD). The odds ratio (OR) were 1.17 (95% CI, 1.01-1.35; p = 0.04), 1.12 (95% CI, 1.03-1.22; p = 0.01), and 1.13 (95% CI, 1.06-1.20; p < 0.01), respectively. In the reverse MR analysis, a positive causal relationship was found between AIT and vitiligo, with an OR of 1.10 (95% CI, 1.01-1.35; p = 0.04). However, no causal relationship was observed between AIH (p = 0.10) or GD (p = 0.61) and vitiligo. Sensitivity analysis revealed no evidence of horizontal pleiotropy or heterogeneity. CONCLUSIONS: The genetic-level investigation provides evidence of a genetic causal association between susceptibility to vitiligo and an increased risk of AITDs. Additionally, the results demonstrate a genetic causal association between susceptibility to AIT and an increased risk of vitiligo, while not indicating a similar association with susceptibility to AIH or GD.

Unraveling susceptibility genes: A contemporary overview of autoimmune thyroid diseases.

Autoimmune thyroid diseases (AITDs), including Graves' disease and Hashimoto's thyroiditis, are organ-specific autoimmune disorders characterized by conditions including goiter, autoimmune thyroiditis, hyperthyroidism, and hypothyroidism, which represent the most severe clinical manifestations of AITDs. The prevalence of autoimmune thyroid disorders is on the rise, influenced by increased environmental factors and changes in modern lifestyles. Understanding the pathophysiology of AITDs is crucial for identifying key factors that affect the disease's onset, progression, and recurrence, thereby laying a solid foundation for precise diagnosis and treatment. The development of AITDs involves a complex interplay of environmental influences, immune dysfunctions, and genetic predispositions. Genetic predispositions, in particular, are significant, with numerous genes identified as being linked to AITDs. This article focuses on examining the genes vulnerable to AITDs to deepen our understanding of the relevant genetic contributors, ultimately facilitating the development of effective prevention and treatment methods.

Characteristics of Human Leukocyte Antigen Class II Genes in Japanese Patients with Type 1 Diabetes and Autoimmune Thyroid Disease.

Genetic factors, particularly human leukocyte antigen (HLA) class II genes, are known to significantly influence the onset of type 1 diabetes (T1D). Additionally, patients with T1D often develop autoimmune thyroid diseases (AITD). Despite this association, comprehensive research on individuals with both AITD and T1D in Japan, especially regarding the influence of specific HLA alleles, remains insufficient. In this retrospective study, we analyzed 44 inpatients diagnosed with T1D. These patients were predominantly female, with an average onset age of 35 years, poor blood sugar control, and approximately 43.2% had concurrent AITD. We observed significant associations of HLA-DRB1*04:05, HLA-DRB1*09:01 and HLA-DRB1*15:02 alleles with T1D regardless of AITD presence, which had been previously established for T1D in Japanese. In this context, comparing Japanese patients with AITD alone, we noted AITD comorbidity with T1D results in alterations in the frequencies of HLA-DRB1*09:01, HLA-DRB1*04:03, and HLA-DRB1*15:02. Furthermore, HLA-DRB1*04:05, HLA-DRB1*09:01, HLA-DRB1*13:02, and HLA-DRB1*15:01 alleles may be alleles whose susceptibility varies for both conditions. These findings underscore the importance of understanding the relationship between T1D, AITD, and HLA genetics, which may inform personalized treatment strategies and facilitate the development of targeted therapies. Future research endeavors should aim to elucidate underlying mechanisms and validate these findings in larger cohorts.

Investigating the Bidirectional Association of Rheumatoid Arthritis and Thyroid Function: A Methodologic Assessment of Mendelian Randomization.

OBJECTIVE: Rheumatoid arthritis (RA) and thyroid dysfunction are frequently observed in the same patient. However, whether they co-occur or exhibit a causal relationship remains uncertain. We aimed to systematically investigate the causal relationship between RA and thyroid function using a large sample and advanced methods. METHODS: Bidirectional two-sample Mendelian randomization (MR) analysis was performed based on RA and six thyroid function trait data sets from the European population. The robustness of the results was demonstrated using multiple MR methods and a series of sensitivity analyses. Multivariable MR using Bayesian model averaging (MR-BMA) was performed to adjust for possible competing risk factors. A sensitivity data set, which included data from patients with seropositive RA and controls, was used to repeat the analyses. Furthermore, enrichment analysis was employed to discover the underlying mechanism between RA and thyroid functions. RESULTS: A significantly positive causal effect was identified for RA on autoimmune thyroid disease (AITD) as well as for AITD on RA (P < 0.001). Further sensitivity analyses showed consistent causal estimates from a variety of MR methods. After removing the outliers, MR-BMA results showed that RA and AITD were independent risk factors in their bidirectional causality, even in the presence of other competing risk factors (adjusted P < 0.05). Enrichment analysis showed immune cell activation and immune response play crucial roles in them. CONCLUSION: Our results illustrate the significant bidirectional causal effect of RA and AITD, which holds even in multiple competing risk factors. Clinical screening for thyroid dysfunction in patients with RA deserves further attention, and vice versa.

A Flexible Mouse Model of Autoimmune Thyroiditis Induced by Immunization with an Adenovirus Containing Full-Length Thyroglobulin cDNA.

The main challenge in the "post-GWAS" era is to determine the functional meaning of genetic variants and their contribution to disease pathogenesis. Development of suitable mouse models is critical because disease susceptibility is triggered by complex interactions between genetic, epigenetic, and environmental factors that cannot be modeled by in vitro models. Thyroglobulin (TG) is a key gene for autoimmune thyroid disease (AITD) and several single nucleotide polymorphisms (SNPs) in the TG coding region have been associated with AITD. The classical model of experimental autoimmune thyroiditis (EAT), based on immunization of genetically susceptible mouse strains with purified TG protein in adjuvant, does not allow testing the impact of TG sequence variants on the development of autoimmune thyroiditis. Here we describe a protocol for the induction of EAT by immunization of mice susceptible to thyroiditis with an adenovirus vector carrying full-length human TG cDNA (Ad-TG EAT). We also provide support protocols for evaluation of autoimmune thyroiditis including serological assessment of TG antibodies, in vitro splenocyte proliferation assay and cytokines secretion, thyroid histology, and evaluation of thyroid lymphocytic infiltration by immunostaining. This protocol for EAT induction allows manipulation of the TG cDNA to introduce variants associated with AITD, enabling the testing of the functional effects of susceptible variants and their haplotypes on the immunogenicity of TG. Furthermore, the Ad-TG EAT mouse model is a valuable model for studying the interactions of the TG variants with non-genetic factors influencing AITD development (e.g., cytokines, iodine exposure) or with variants of other susceptible genes (e.g., HLA-DRß1). © 2024 Wiley Periodicals LLC. Basic Protocol: Development of a mouse model of autoimmune thyroiditis induced by immunization with adenovirus containing full-length thyroglobulin cDNA Support Protocol 1: Splenocytes isolation Support Protocol 2: T cell stimulation and carboxyfluorescein diacetate succinimidyl ester (CFSE) based cell proliferation assay Support Protocol 3: Cytokine assays: measuring levels of interferon gamma (IFNγ) and interleukins IL-2, IL-4, and IL-10 in splenocyte supernatants Support Protocol 4: Evaluating thyroid histology and infiltration with immune cells: hematoxylin-eosin staining of mice thyroid glands Support Protocol 5: Immunohistochemistry of thyroid tissues: Immunofluorescence protocol of paraffin-embedded thyroid sections Support Protocol 6: Anti-thyroglobulin antibody measurement in mice sera by enzyme-linked immunosorbent assay (ELISA).

Is There a Link between Thyroid Peroxidase Gene Promoter Polymorphisms and Autoimmune Thyroiditis in the Polish Population?

(1) Autoimmune thyroiditis (AIT) is the most common cause of primary hypothyroidism and one of the most frequent organ-specific autoimmune diseases. Its pathogenesis is polygenic and still requires further research. The aim of the study was to assess, for the first time in the Caucasian population, the role of selected TPO gene promoter polymorphisms (rs2071399 G/A, rs2071400C/T, rs2071402 A/G, and rs2071403 A/G) in the development of AIT. A total of 237 patients diagnosed with AIT and 130 healthy controls were genotyped for four TPO gene polymorphisms, and the results were statistically analyzed to check for the role of these polymorphisms. There were no significant differences in the genotype and allele frequencies of the studied TPO gene promoter polymorphisms between patients and controls (p > 0.05). The haplotype distribution (rs2071400-rs2071402-rs2071403) between the two studied groups was similar for the most common variants (CGA, CAG, TGG). Only a rare haplotype (CGG) occurred more frequently among patients compared to controls (p = 0.04). The studied TPO gene promoter polymorphisms did not show an association with susceptibility to AIT in the Caucasian Polish population, contrary to the results in Japanese patients.

A novel homozygous SLC12A3 mutation causing Gitelman syndrome with co-existent autoimmune thyroiditis: a case report and review of the literature.

Gitelman syndrome is a rare, autosomal recessively inherited tubulopathy manifesting with hypokalemia, hypomagnesemia, hypocalciuria, and metabolic alkalosis. Common symptoms include fatigue, myalgia, reduced performance capacity, tetany, paresthesia, and delayed growth. However, as reported in the literature, diagnosis in some patients is prompted by an incidental finding of hypokalemia. GS develops due to mutations in the SLC12A3 gene, which encodes the thiazide-sensitive Na-Cl cotransporter. Many variants in the SLC12A3 gene causing GS have been reported in literature. A new pathogenic homozygous mutation (c.2612G > T), absence of hypomagnesemia, and accompanying autoimmune thyroiditis are remarkable in our patient. There are a few Gitelman syndrome cases that are complicated with autoimmune thyroiditis in the literature. In this study, we present a case of Gitelman syndrome with a novel homozygous mutation and accompanying autoimmune thyroiditis and review of the literature.

The association between endothelial function and autoimmune thyroiditis induced by iodine excess.

BACKGROUND: Iodine excess (IE) intake leads to lymphocyte dysfunction and contributes to autoimmune thyroiditis (AIT). Abnormal thyroid function is associated with adverse cardiovascular events, endothelial dysfunction is often an early pathophysiological feature in most cardiovascular disease. However, the relationship between iodine and the cardiovascular system is currently unclear. Therefore, the aim of this study was to investigate the effects of IE on endothelial function in mouse model. METHODS: A total of 24 NOD.H-2h4 mice were randomly divided into different groups. A sodium iodide (NaI) group supplied with 0.05% NaI water for 8 weeks. Serum levels of tumor necrosis factors α (TNFα), interleukin-6 (IL-6) and C-reactive Protein (CRP), as well as endothelin-1 (ET-1), von Willebrand factor (VWF) and thrombomodulin (THBD) were detected by Elisa. In addition, the mRNA and protein expression of these genes were measured by RT-PCR and Western blotting. RESULTS: Here, we found the urinary iodine concentration (UIC) was higher in the NaI group compared to the control group. Serum levels of ET-1, VWF, and THBD were also significantly lower in the NaI group, however, CRP serum levels are significantly increased. In aorta, the mRNA and protein expression of ET-1, VWF, THBD were downregulated, however, the expression of IL-6, CRP and TNFα mRNA and protein were upregulated in the NaI group. A correlation analysis showed negative correlation between UIC with ET-1, VWF, and THBD, similarly, negative correlation between CRP with THBD was observed. In addition, positive correlations between UIC with CRP. CONCLUSION: Collectively, in the NOD.H-2h4 mice, IE supplementation had a suppressive effect on endothelial function, and this inhibition maybe due to the increase expression of inflammatory cytokines.

Effect of disulfidptosis-related genes SLC3A2, SLC7A11 and FLNB polymorphisms on risk of autoimmune thyroiditis in a Chinese population.

PURPOSE: This study aimed to evaluate the associations between disulfidptosis related genes-SLC3A2, SLC7A11 and FLNB polymorphisms and risk of autoimmune thyroiditis (AIT). METHODS: Six SNPs in the SLC3A2, SLC7A11 and FLNB were genotyped in 650 AIT cases and 650 controls using a MassARRAY platform. RESULTS: Minor alleles of SLC3A2-rs12794763, rs1059292 and FLNB-rs839240 might lead to a higher risk of AIT (p < 0.001), while SLC7A11-rs969319-C allele tends to decrease the risk of the disease (p = 0.006). Genetic model analysis showed that SLC3A2-rs12794763, SLC3A2-rs1059292 and FLNB-rs839240 polymorphisms were risk factors for AIT (p < 0.001); while SLC7A11-rs969319 showed a protective role for the disease in all genetic models (p < 0.005). Stratification analysis showed that SLC3A2-rs1059292 and rs12794763 were correlated with higher risk of AIT regardless of sex (p < 0.05). Moreover, FLNB-rs839240 exhibited higher risk of disease only in females (p < 0.05). By contrast, SLC7A11-rs969319 showed a protective role only in females (p < 0.05). CONCLUSION: Our results shed new light on the association between disulfidptosis-related genes and AIT risk.

Causal association between body mass index and autoimmune thyroiditis: evidence from Mendelian randomization.

BACKGROUND: Recent studies have reported associations between body mass index (BMI) and various autoimmune disorders. However, it is still uncertain whether there exists a direct cause-and-effect relationship between BMI and autoimmune thyroiditis (AIT). The aim of our study is to investigate the causal association between BMI and AIT. METHODS: We conducted a two-sample summary data Mendelian randomization (MR) analysis using genome-wide association studies (GWAS) summary statistics data related to BMI as exposure, and GWAS summary statistic data sets for AIT as the outcome. Robustly associated single-nucleotide polymorphisms (SNPs) for BMI were selected as instrumental variables (IVs). We used the inverse variance weighted (IVW) method as the primary method and performed other MR methods such as MR-Egger regression, weighted median, simple mode, and weighted mode analyses for further validation. The slope of MR-Egger regression was used to correct for pleiotropy and provide estimates of causality. The p-value for the intercept in MR-Egger was utilized to detect any directional pleiotropic effects. Heterogeneity and sensitivity analyses were performed to assess the robustness of our findings. RESULTS: Seventy-eight SNPs were selected from GWAS on BMI as the IVs. Our MR analysis using the IVW method showed a potential causal association between BMI and AIT (OR = 3.071, 95% CI 1.324-7.118). Findings from other MR methods are non-significant, although the direction of effect is consistent. There was no evidence that the result was affected by genetic pleiotropy (MR-Egger regression intercept = 0.01, SE = 0.00025, p = 0.719). Heterogeneity and sensitivity analyses revealed no significant heterogeneity among SNPs, and no single SNP drove the observed associations. CONCLUSION: Our findings suggest a potential causal association between BMI and AIT, which may provide a basis for further investigation into the relationship between BMI and AIT. Further studies are required as only the IVW method shows significant results, and the case sample size is small.