ABSTRACT
There is a growing body of evidence suggesting that Hashimoto's thyroiditis (HT) may contribute to an increased risk of papillary thyroid carcinoma (PTC). However, the exact relationship between HT and PTC is still not fully understood. The objective of this study was to identify potential common biomarkers that may be associated with both PTC and HT. Three microarray datasets from the GEO database and RNA-seq dataset from TCGA database were collected to identify shared differentially expressed genes (DEGs) between HT and PTC. A total of 101 genes was identified as common DEGs, primarily enriched inflammation- and immune-related pathways through GO and KEGG analysis. We performed protein-protein interaction analysis and identified six significant modules comprising a total of 29 genes. Subsequently, tree hub genes (CD53, FCER1G, TYROBP) were selected using random forest (RF) algorithms for the development of three diagnostic models. The artificial neural network (ANN) model demonstrates superior performance. Notably, CD53 exerted the greatest influence on the ANN model output. We analyzed the protein expressions of the three genes using the Human Protein Atlas database. Moreover, we observed various dysregulated immune cells that were significantly associated with the hub genes through immune infiltration analysis. Immunofluorescence staining confirmed the differential expression of CD53, FCER1G, and TYROBP, as well as the results of immune infiltration analysis. Lastly, we hypothesise that benzylpenicilloyl polylysine and aspirinmay be effective in the treatment of HT and PTC and may prevent HT carcinogenesis. This study indicates that CD53, FCER1G, and TYROBP play a role in the development of HT and PTC, and may contribute to the progression of HT to PTC. These hub genes could potentially serve as diagnostic markers and therapeutic targets for PTC and HT.
Subject(s)
Biomarkers, Tumor , Computational Biology , Hashimoto Disease , Machine Learning , Thyroid Cancer, Papillary , Thyroid Neoplasms , Humans , Hashimoto Disease/genetics , Thyroid Cancer, Papillary/genetics , Thyroid Cancer, Papillary/diagnosis , Computational Biology/methods , Biomarkers, Tumor/genetics , Thyroid Neoplasms/genetics , Thyroid Neoplasms/diagnosis , Protein Interaction Maps/genetics , Gene Expression Regulation, Neoplastic , Gene Expression Profiling , Gene Regulatory Networks , Neural Networks, ComputerABSTRACT
Autoimmune thyroid diseases (AITD) such as Graves' disease (GD) or Hashimoto's thyroiditis (HT) are organ-specific diseases that involve complex interactions between distinct components of thyroid tissue. Here, we use spatial transcriptomics to explore the molecular architecture, heterogeneity and location of different cells present in the thyroid tissue, including thyroid follicular cells (TFCs), stromal cells such as fibroblasts, endothelial cells, and thyroid infiltrating lymphocytes. We identify damaged antigen-presenting TFCs with upregulated CD74 and MIF expression in thyroid samples from AITD patients. Furthermore, we discern two main fibroblast subpopulations in the connective tissue including ADIRF+ myofibroblasts, mainly enriched in GD, and inflammatory fibroblasts, enriched in HT patients. We also demonstrate an increase of fenestrated PLVAP+ vessels in AITD, especially in GD. Our data unveil stromal and thyroid epithelial cell subpopulations that could play a role in the pathogenesis of AITD.
Subject(s)
Antigens, Differentiation, B-Lymphocyte , Graves Disease , Hashimoto Disease , Thyroid Gland , Humans , Graves Disease/pathology , Graves Disease/immunology , Graves Disease/genetics , Graves Disease/metabolism , Thyroid Gland/pathology , Thyroid Gland/metabolism , Hashimoto Disease/pathology , Hashimoto Disease/immunology , Hashimoto Disease/metabolism , Hashimoto Disease/genetics , Antigens, Differentiation, B-Lymphocyte/metabolism , Antigens, Differentiation, B-Lymphocyte/genetics , Fibroblasts/metabolism , Fibroblasts/pathology , Histocompatibility Antigens Class II/metabolism , Histocompatibility Antigens Class II/genetics , Thyroid Epithelial Cells/metabolism , Thyroid Epithelial Cells/pathology , Endothelial Cells/metabolism , Endothelial Cells/pathology , Transcriptome , Myofibroblasts/metabolism , Myofibroblasts/pathology , Stromal Cells/metabolism , Stromal Cells/pathology , Female , Macrophage Migration-Inhibitory Factors , Intramolecular OxidoreductasesABSTRACT
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.
Subject(s)
Graves Disease , Mendelian Randomization Analysis , Humans , Graves Disease/genetics , Graves Disease/immunology , Hashimoto Disease/genetics , Hashimoto Disease/immunology , Phenotype , Genetic Predisposition to Disease , Thyroiditis, Autoimmune/genetics , Thyroiditis, Autoimmune/immunology , Autoimmune Diseases/genetics , Autoimmune Diseases/immunology , Polymorphism, Single NucleotideABSTRACT
Objectives: Previous studies have indicated a correlation between cytokines and autoimmune diseases. yet the causality remains uncertain. Through Mendelian Randomization (MR) analysis, we aimed to investigate the causal relationships between genetically predicted levels of 91 cytokines and three autoimmune diseases: Multiple Sclerosis (MS), Systemic Lupus Erythematosus (SLE), and Hashimoto's Thyroiditis (HT). Methods: A bidirectional two-sample MR approach was utilized to assess the causal relationships between cytokines and MS, SLE, and HT. The datasets included 47,429 MS cases and 68,374 controls, 5,201 SLE cases and 9,066 controls, and 16,191 HT cases with 210,612 controls. Data on 91 cytokines comprised 14,824 participants. Causal analyses primarily employed inverse variance weighted, weighted median, and MR-Egger methods, with sensitivity analyses including heterogeneity and pleiotropy assessment. Results: Genetically predicted levels of IL-18 (OR = 0.706; 95% C.I. 0.538-0.925), ADA (OR = 0.808; 95% C.I. 0.673-0.970), and SCF (OR = 0.898; 95% C.I. 0.816-0.987) were associated with a decreased risk of MS. IL-4 (OR = 1.384; 95% C.I. 1.081-1.771), IL-7 (OR = 1.401; 95% C.I. 1.010-1.943), IL-10RA (OR = 1.266; 95% C.I. 1.004-1.596), CXCL5 (OR = 1.170; 95% C.I. 1.021-1.341), NTN (OR = 1.225; 95% C.I. 1.004-1.496), FGF23 (OR = 0.644; 95% C.I. 0.460-0.902), and MCP4 (OR = 0.665; 95% C.I. 0.476-0.929) were associated with SLE risk. CDCP1 (OR = 1.127; 95% C.I. 1.008-1.261), IL-33 (OR = 0.852; 95% C.I. 0.727-0.999), and TRAIL (OR = 0.884; 95% C.I. 0.799-0.979) were associated with HT risk. Bidirectional MR results suggest the involvement of CCL19, IL-13, SLAM, ARTN, Eotaxin, IL-22RA1, ADA, and MMP10 in the downstream development of these diseases. Conclusions: Our findings support causal relationships between certain cytokines and the risks of MS, SLE, and HT, identifying potential biomarkers for diagnosis and prevention. Additionally, several cytokines previously unexplored in these autoimmune disease contexts were discovered, laying new groundwork for the study of disease mechanisms and therapeutic potentials.
Subject(s)
Autoimmune Diseases , Cytokines , Mendelian Randomization Analysis , Humans , Cytokines/blood , Cytokines/genetics , Autoimmune Diseases/genetics , Autoimmune Diseases/blood , Autoimmune Diseases/immunology , Genetic Predisposition to Disease , Multiple Sclerosis/genetics , Multiple Sclerosis/blood , Multiple Sclerosis/immunology , Lupus Erythematosus, Systemic/genetics , Lupus Erythematosus, Systemic/blood , Lupus Erythematosus, Systemic/immunology , Polymorphism, Single Nucleotide , Hashimoto Disease/genetics , Hashimoto Disease/blood , Hashimoto Disease/immunologyABSTRACT
OBJECTIVES: To investigate the expression of microRNA-142 (miR-142) in children with autoimmune thyroid disease (AITD) and its relationship with the imbalance of helper T cell 17 (Th17) and regulatory T cell (Treg). METHODS: A total of 89 children hospitalized for AITD from January 2019 to December 2022 were prospectively selected as the study subjects, including 48 children with Graves' disease (GD group) and 41 children with Hashimoto's thyroiditis (HT group). Additionally, 55 healthy children undergoing physical examinations during the same period were selected as the control group. The differences in serum miR-142, antithyroglobulin antibody (TGAb), antithyroperoxidase antibody (TPOAb), Th17/Treg, and interleukin-17 (IL-17) expression were compared among the groups. RESULTS: The expression of miR-142, TPOAb, TGAb, Th17, Th17/Treg, and IL-17 in the GD group and HT group was higher than that in the control group, while Treg was lower than that in the control group (P<0.05). Pearson correlation analysis revealed that in the GD group, miR-142 was positively correlated with TPOAb, TGAb, Th17, Th17/Treg, and IL-17 (r=0.711, 0.728, 0.785, 0.716, 0.709, respectively; P<0.001) and negatively correlated with Treg (r=-0.725, P<0.001); in the HT group, miR-142 was positively correlated with TPOAb and TGAb (r=0.752, 0.717, respectively; P<0.001). CONCLUSIONS: miR-142 is highly expressed in children with AITD, and its expression may be related to the Th17/Treg imbalance in children with GD.
Subject(s)
Interleukin-17 , MicroRNAs , T-Lymphocytes, Regulatory , Th17 Cells , Humans , MicroRNAs/blood , Th17 Cells/immunology , Child , Male , Female , T-Lymphocytes, Regulatory/immunology , Interleukin-17/blood , Hashimoto Disease/immunology , Hashimoto Disease/genetics , Hashimoto Disease/blood , Child, Preschool , Graves Disease/immunology , Graves Disease/genetics , Adolescent , Autoantibodies/bloodABSTRACT
The study aimed to investigate the BRAF V600E mutation and clinicopathological changes among patients with Hashimoto thyroiditis (HT), papillary thyroid carcinoma (PTC) with Hashimoto thyroiditis (HT), or nodular goiter (NG). A total of 87 patients with the BRAF V600E mutation who were diagnosed with HT (including with hyperplasia dysplasia), PTC with HT, and PTC with NG were enrolled. Clinical data, concentrations of antithyroglobulin antibodies (TGAb) and thyroid microsomal antibodies (TMAb) in the serum thyroid-function levels, and the result presence of the BRAF V600E mutation were retrospectively analyzed. There were significant differences in the BRAF V600E mutation rates between the HT and PTC with HT groups ( P <0.05) and the HT and PTC with NG groups ( P <0.05), whereas no significant difference was found between the PTC with HT and PTC with NG groups. There was no difference in incidences of PTC between HT with elevated TGAb and TMAb group and those with baseline levels. The incidence of multifocal PTC was higher in the PTC with HT group; however, the difference was not significant. Our findings documented that BRAF mutation distinguished between the benign HT and the malignant PTC groups. The serum levels of TGAb and TMAb autoantibodies did not directly correlate with PTC in the background of HT. HT and NG may similarly contribute to the pathogenesis of PTC.
Subject(s)
Goiter, Nodular , Hashimoto Disease , Proto-Oncogene Proteins B-raf , Thyroid Cancer, Papillary , Thyroid Neoplasms , Humans , Proto-Oncogene Proteins B-raf/genetics , Hashimoto Disease/genetics , Hashimoto Disease/pathology , Female , Male , Thyroid Cancer, Papillary/genetics , Thyroid Cancer, Papillary/pathology , Thyroid Cancer, Papillary/diagnosis , Middle Aged , Goiter, Nodular/genetics , Goiter, Nodular/pathology , Adult , Thyroid Neoplasms/genetics , Thyroid Neoplasms/pathology , Thyroid Neoplasms/diagnosis , Retrospective Studies , Mutation , Autoantibodies/blood , AgedABSTRACT
BACKGROUND: Studies have been conducted on the relationship between depression and thyroid diseases and function, its causal relationship remains unclear. METHODS: Using summary statistics of genome-wide association studies of European and East Asian ancestry, we conducted 2-sample bidirectional Mendelian randomization to estimate the association between MDD and thyroid function (European: normal range TSH, T4, T3, fT4, TPOAb levels and TPOAb-positives; East Asian: T4) and thyroid diseases (hypothyroidism, hyperthyroidism, and Hashimoto's thyroiditis), and used Mediation analysis to evaluate potential mediators (alcohol intake, antidepressant) of the association and calculate the mediated proportions. RESULTS: It was observed a significant causal association between MDD on hypothyroidism (P = 8.94 × 10-5), hyperthyroidism (P = 8.68 × 10-3), and hashimoto's thyroiditis (P = 3.97 × 10-5) among European ancestry, which was mediated by Alcohol intake (alcohol intake versus 10 years previously for hypothyroidism (P = 0.026), hashimoto's thyroiditis (P = 0.042), and alcohol intake frequency for hypothyroidism (P = 0.015)) and antidepressant (for hypothyroidism (P = 0.008), hashimoto's thyroiditis (P = 0.010)), but not among East Asian ancestry (PMDD-hypothyroidism = 0.016, but ß direction was different; PMDD-hyperthyroidism = 0.438; PMDD-hashimoto's thyroiditis = 0.496). There was no evidence for bidirectional causal association between thyroid function mentioned above and MDD among both ancestry (all P > 0.05). CONCLUSION: We importantly observed a significant causal association between MDD on risk of hypothyroidism, hyperthyroidism, and hashimoto's thyroiditis among European ancestry, and Alcohol intake and antidepressant as mediators for prevention of hypothyroidism, hashimoto's thyroiditis attributable to MDD.
Subject(s)
Depressive Disorder, Major , Genome-Wide Association Study , Mendelian Randomization Analysis , Thyroid Diseases , White People , Humans , Depressive Disorder, Major/genetics , Depressive Disorder, Major/epidemiology , Thyroid Diseases/genetics , Thyroid Diseases/epidemiology , White People/genetics , White People/statistics & numerical data , Mediation Analysis , Asian People/genetics , Asian People/statistics & numerical data , Alcohol Drinking/epidemiology , Alcohol Drinking/genetics , Hypothyroidism/genetics , Hypothyroidism/epidemiology , Antidepressive Agents/therapeutic use , Hashimoto Disease/genetics , Hashimoto Disease/epidemiology , Hyperthyroidism/genetics , Hyperthyroidism/epidemiology , Hyperthyroidism/complications , Male , FemaleABSTRACT
Background: This study aimed to analyze the effect of preoperative fine needle aspiration cytology (FNAC) combined with BRAFV600E mutation detection as compared to that of fine needle aspiration cytology alone on the diagnostic performance of papillary thyroid carcinoma (PTC) combined with Hashimoto's thyroiditis (HT). Method: Patients with thyroid nodules in Hashimoto's thyroiditis, who underwent fine-needle aspiration cytology examination and BRAFV600E mutation detection in the puncture eluate at the outpatient clinic, were selected. Finally, 122 patients received surgical treatment and were included in the study. We used postoperative pathological results as the gold standard. Accordingly, we compared the sensitivity, specificity and accuracy of preoperative FNAC alone and FNAC combined with BRAFV600E mutation detection in for the diagnosis of PTC combined with HT. Results: For PTC patients with HT, the sensitivity of FNAC diagnosis was 93.69%, the specificity was 90.90% and the accuracy was 93.44%. However, the sensitivity, specificity and accuracy of FNAC combined with BRAFV600E mutation detection were 97.30%, 90.90% and 96.72%, respectively. Therefore, combined detection can improve the sensitivity and accuracy of diagnosis (p<0.05). Conclusion: FNAC combined with eluent BRAFV600E mutation detection can improve the sensitivity and accuracy of diagnosis of PTC in the background of HT.
Subject(s)
Hashimoto Disease , Mutation , Proto-Oncogene Proteins B-raf , Thyroid Cancer, Papillary , Thyroid Neoplasms , Humans , Hashimoto Disease/genetics , Hashimoto Disease/diagnosis , Hashimoto Disease/complications , Proto-Oncogene Proteins B-raf/genetics , Biopsy, Fine-Needle , Female , Male , Thyroid Cancer, Papillary/genetics , Thyroid Cancer, Papillary/diagnosis , Thyroid Cancer, Papillary/pathology , Thyroid Cancer, Papillary/complications , Middle Aged , Adult , Thyroid Neoplasms/genetics , Thyroid Neoplasms/diagnosis , Thyroid Neoplasms/pathology , Sensitivity and Specificity , Aged , DNA Mutational Analysis/methodsABSTRACT
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.
Subject(s)
Genetic Predisposition to Disease , Humans , Thyroiditis, Autoimmune/genetics , Animals , Autoimmune Diseases/genetics , Autoimmune Diseases/immunology , Thyroid Diseases/genetics , Thyroid Diseases/immunology , Hashimoto Disease/genetics , Hashimoto Disease/immunologyABSTRACT
Objectives: Hashimoto's thyroiditis (HT) is a common autoimmune disease whose etiology involves a complex interplay between genetics and environment. Previous studies have demonstrated an association between immune cells and HT. However, the casual relationship was not clear. We aimed to explore the causal associations between signatures of immune cells and HT. Methods: In this study, bidirectional two-sample Mendelian randomization (MR) analysis was conducted to investigate the potential causal relationship between 731 immune cell signatures and HT by using genome-wide association study (GWAS) data. Heterogeneity and horizontal pleiotropy were detected through extensive sensitivity analyses. Results: The increased levels of six immune phenotypes were observed to be causally associated with increased risk of HT P < 0.01, which were CD3 on CM CD8br, CD3 on CD39+ secreting Treg, HLA DR on CD33dim HLA DR+ CD11b-, CD3 on CD4 Treg, CD62L- plasmacytoid DC %DC, and CD3 on CD45RA+ CD4+. In addition, the levels of FSC-A on HLA DR+ T cell and CD62L on monocyte were associated with disease risk of HT P < 0.01. In addition, HT also had causal effects on CD3 on CM CD8br, CCR2 on monocyte, CD25 on CD39+ resting Treg, and CCR2 on CD62L+ myeloid DC P < 0.05. Conclusions: In this study, we demonstrated the genetic connection between immune cell traits and HT, thereby providing guidance and direction for future treatment and clinical research.
Subject(s)
Genome-Wide Association Study , Hashimoto Disease , Mendelian Randomization Analysis , Humans , Hashimoto Disease/genetics , Hashimoto Disease/immunology , Polymorphism, Single Nucleotide , Genetic Predisposition to DiseaseABSTRACT
Hashimoto's thyroiditis (HT) and Graves' disease (GD) are common autoimmune endocrine disorders in children. Studies indicate that apart from environmental factors, genetic background significantly contributes to the development of these diseases. This study aimed to assess the prevalence of selected single-nucleotide polymorphisms (SNPs) of Il7R, CD226, CAPSL, and CLEC16A genes in children with autoimmune thyroid diseases. We analyzed SNPs at the locus rs3194051, rs6897932 of IL7R, rs763361 of CD226, rs1010601 of CAPSL, and rs725613 of CLEC16A gene in 56 HT patients, 124 GD patients, and 156 healthy children. We observed significant differences in alleles IL7R (rs6897932) between HT males and the control group (C > T, p = 0.028) and between all GD patients and healthy children (C > T, p = 0.035) as well as GD females and controls (C > T, p = 0.018). Moreover, the C/T genotype was less frequent in GD patients at rs6897932 locus and in HT males at rs1010601 locus. The presence of the T allele in the IL7R (rs6897932) locus appears to have a protective effect against HT in males and GD in all children. Similarly, the presence of the T allele in the CAPSL locus (rs1010601) seems to reduce the risk of HT development in all patients.
Subject(s)
Autoimmune Diseases , Graves Disease , Hashimoto Disease , Child , Female , Male , Humans , Adolescent , Prevalence , Alleles , Hashimoto Disease/genetics , Polymorphism, Single Nucleotide , Graves Disease/genetics , Receptors, Interleukin-7/genetics , Monosaccharide Transport Proteins , Lectins, C-Type/geneticsABSTRACT
One of the probable hypotheses for the onset of autoimmunity is molecular mimicry. This study aimed to determine the HLA-II risk alleles for developing Hashimoto's thyroiditis (HT) in order to analyze the molecular homology between candidate pathogen-derived epitopes and potentially self-antigens (thyroid peroxidase, TPO) based on the presence of HLA risk alleles. HLA-DRB1/-DQB1 genotyping was performed in 100 HT patients and 330 ethnically matched healthy controls to determine the predisposing/protective alleles for HT disease. Then, in silico analysis was conducted to examine the sequence homology between epitopes derived from autoantigens and four potentially relevant pathogens and their binding capacities to HLA risk alleles based on peptide docking analysis. We identified HLA-DRB1*03:01, *04:02, *04:05, and *11:04 as predisposing alleles and DRB1*13:01 as a potentially predictive allele for HT disease. Also, DRB1*11:04 ~ DQB1*03:01 (Pc = 0.002; OR, 3.97) and DRB1*03:01 ~ DQB1*02:01 (Pc = 0.004; OR, 2.24) haplotypes conferred a predisposing role for HT. Based on logistic regression analysis, carrying risk alleles increased the risk of HT development 4.5 times in our population (P = 7.09E-10). Also, ROC curve analysis revealed a high predictive power of those risk alleles for discrimination of the susceptible from healthy individuals (AUC, 0.70; P = 6.6E-10). Analysis of peptide sequence homology between epitopes of TPO and epitopes derived from four candidate microorganisms revealed a homology between envelop glycoprotein D of herpes virus and sequence 151-199 of TPO with remarkable binding capacity to HLA-DRB1*03:01 allele. Our findings indicate the increased risk of developing HT in those individuals carrying HLA risk alleles which can also be related to herpes virus infection.
Subject(s)
Alleles , Autoantigens , Epitopes , Genetic Predisposition to Disease , HLA-DQ beta-Chains , HLA-DRB1 Chains , Hashimoto Disease , Humans , Male , Female , Hashimoto Disease/genetics , Hashimoto Disease/immunology , Adult , Iran , HLA-DRB1 Chains/genetics , HLA-DQ beta-Chains/genetics , Autoantigens/immunology , Autoantigens/genetics , Epitopes/immunology , Epitopes/genetics , Middle Aged , Case-Control Studies , Iodide Peroxidase/genetics , Iodide Peroxidase/immunology , Haplotypes , Genotype , Gene FrequencyABSTRACT
Background: Autoimmune thyroid disease (AITD) ranks among the most prevalent thyroid diseases, with inflammatory cytokines playing a decisive role in its pathophysiological process. However, the causal relationship between the inflammatory cytokines and AITD remains elusive. Methods: A two-sample Mendelian randomization (MR) analysis was performed to elucidate the causal connection between AITD and 41 inflammatory cytokines. Genetic variations associated with inflammatory cytokines were sourced from the FinnGen biobank, whereas a comprehensive meta-analysis of genome-wide association studies (GWASs) yielded data on Graves' disease (GD) and Hashimoto thyroiditis. Regarding the MR analysis, the inverse variance-weighted, MR-Egger, and weighted median methods were utilized. Additionally, sensitivity analysis was conducted using MR-Egger regression, MR-pleiotropy residual sum, and outliers. Results: Seven causal associations were identified between inflammatory cytokines and AITD. High levels of tumor necrosis factor-ß and low levels of stem cell growth factor-ß were indicative of a higher risk of GD. In contrast, high levels of interleukin-12p70 (IL-12p70), IL-13, and interferon-γ and low levels of monocyte chemotactic protein-1 (MCP-1) and TNF-α suggested a higher risk of HD. Moreover, 14 causal associations were detected between AITD and inflammatory cytokines. GD increases the levels of macrophage inflammatory protein-1ß, MCP-1, monokine induced by interferon-γ (MIG), interferon γ-induced protein 10 (IP-10), stromal cell-derived factor-1α, platelet-derived growth factor BB, ß-nerve growth factor, IL-2ra, IL-4, and IL-17 in blood, whereas HD increases the levels of MIG, IL-2ra, IP-10, and IL-16 levels. Conclusion: Our bidirectional MR analysis revealed a causal relationship between inflammatory cytokines and AITD. These findings offer valuable insights into the pathophysiological mechanisms underlying AITD.
Subject(s)
Cytokines , Hashimoto Disease , Humans , Interferon-gamma , Mendelian Randomization Analysis , Hashimoto Disease/genetics , Chemokine CXCL10 , Genome-Wide Association StudyABSTRACT
(1) BACKGROUND: Hashimoto's thyroiditis (HT) can cause angiogenesis in the thyroid gland. However, the molecular mechanism of endothelial cells and angiogenesis related genes (ARGs) has not been extensively studied in HT. (2) METHODS: The HRA001684, GSE29315 and GSE163203 datasets were included in this study. Using single-cell analysis, weighted gene co-expression network analysis (WGCNA), functional enrichment analysis, machine learning algorithms and expression analysis for exploration. And receiver operator characteristic (ROC) curves was draw. Gene set enrichment analysis (GSEA) was utilized to investigate the biological function of the biomarkers. Meanwhile, we investigated into the relationship between biomarkers and different types of immune cells. Additionally, the expression of biomarkers in the TCGA-TC dataset was examined and the mRNA-drug interaction network was constructed. (3) RESULTS: We found 14 cell subtypes were obtained in HT samples after single-cell analysis. A total of 5 biomarkers (CD52, CD74, CD79A, HLA-B and RGS1) were derived, and they had excellent diagnostic performance. Then, 27 drugs targeting biomarkers were predicted. The expression analysis showed that CD74 and HLA-B were significantly up-regulated in HT samples. (4) CONCLUSION: In this study, 5 biomarkers (CD52, CD74, CD79A, HLA-B and RGS1) were screened and their expressions in endothelial cells was compared to offer a new reference for the recognition and management of HT.
Subject(s)
Endothelial Cells , Hashimoto Disease , Neovascularization, Pathologic , Single-Cell Analysis , Transcriptome , Humans , Hashimoto Disease/genetics , Hashimoto Disease/diagnosis , Single-Cell Analysis/methods , Endothelial Cells/metabolism , Neovascularization, Pathologic/genetics , Biomarkers/metabolism , Gene Expression Profiling , Sequence Analysis, RNA/methods , AngiogenesisABSTRACT
OBJECTIVE: To analyse the expression of BRAF V600E protein and RET gene rearrangement in papillary thyroid carcinoma (PTC) combined with Hashimoto's thyroiditis (HT) and to explore its clinical and pathological significance. STUDY DESIGN: Observational study. Place and Duration of the Study: Department of Pathology, East China Normal University (Wuhu No. 2 People's Hospital), Wuhu, China, from January 2019 to July 2022. METHODOLOGY: The study population of 150 patients who underwent central lymph node dissection. They were divided into two groups: the PTC group (76/150, 50.7%) and the PTC with HC group (74/150, 49.3%). The expression of BRAF V600E protein was detected using immunohistochemistry, and the RET gene rearrangement status was detected using fluorescence in situ hybridisation. The detection results and clinical pathological characteristics were statistically analysed. RESULTS: Compared with the PTC group, the prevalence rate of female PTC in HT group was significantly higher than that of the male group, the rate of lymph node metastasis was lower, and the proportion of tumour diameter ≤ 1cm was higher (p < 0.05). However, no significant difference in patient age and multifocality was found between the two groups (p > 0.05). The BRAF V600E positive rate in the PTC combined with HT group (48.6%) was lower than in the PTC group (73.7%), and the RET gene rearrangement positive rate was higher than in the PTC group (p < 0.05). The expression of BRAF V600E protein in PTC combined with HT is correlated with multifocality (p < 0.05), and there is a correlation between RET gene rearrangement and the gender of the patient in the PTC group (p < 0.05). CONCLUSION: There is a lower rate of BRAF V600E protein positivity in PTC combined with HT patients, as well as a higher rate of RET gene rearrangements positive in PTC combined with HT patients. There is a correlation between multifocality and BRAF V600E protein expression. KEY WORDS: Papillary thyroid carcinoma, Hashimoto's thyroiditis, BRAF V600E protein, RET gene rearrangement.
Subject(s)
Hashimoto Disease , Thyroid Neoplasms , Humans , Male , Female , Thyroid Cancer, Papillary/genetics , Thyroid Cancer, Papillary/pathology , Thyroid Neoplasms/complications , Thyroid Neoplasms/genetics , Thyroid Neoplasms/pathology , Proto-Oncogene Proteins B-raf/genetics , Mutation , Hashimoto Disease/complications , Hashimoto Disease/genetics , Gene Rearrangement , Proto-Oncogene Proteins c-ret/geneticsABSTRACT
PURPOSE OF REVIEW: We summarize the recent discoveries on genetic predisposition to autoimmune encephalitis and paraneoplastic neurological syndromes (PNS), emphasizing clinical and pathophysiological implications. RECENT FINDINGS: The human leukocyte antigen (HLA) is the most studied genetic factor in autoimmune encephalitis and PNS. The HLA haplotype 8.1, which is widely known to be related to systemic autoimmunity, has been only weakly associated with a few types of autoimmune encephalitis and PNS. However, the strongest and most specific associations have been reported in a subgroup of autoimmune encephalitis that comprises antileucine-rich glioma-inactivated 1 (LGI1) limbic encephalitis, associated with DRB1∗07â:â01 , anticontactin-associated protein-like 2 (CASPR2) limbic encephalitis, associated with DRB1∗11â:â01 , and anti-IgLON5 disease, associated with DRB1∗10â:â01â¼DQA1∗01â¼DQB1∗05 . Non-HLA genes have been poorly investigated so far in autoimmune encephalitis, mainly in those lacking HLA associations such as anti-N-methyl-D-aspartate receptor (NMDAR) encephalitis, with only a few genome-wide association studies (GWAS) reporting equivocal results principally limited by small sample size. SUMMARY: Genetic predisposition seems to be driven mostly by HLA in a group of autoimmune encephalitis characterized by being nonparaneoplastic and having predominantly IgG4 autoantibodies. The contribution of non-HLA genes, especially in those diseases lacking known or strong HLA associations, will require large cohorts enabling GWAS to be powerful enough to render meaningful results.
Subject(s)
Encephalitis , Genetic Predisposition to Disease , Hashimoto Disease , Paraneoplastic Syndromes, Nervous System , Humans , Autoantibodies/immunology , Encephalitis/genetics , Encephalitis/immunology , Genetic Predisposition to Disease/genetics , Hashimoto Disease/genetics , Hashimoto Disease/immunology , HLA Antigens/genetics , HLA Antigens/immunology , Paraneoplastic Syndromes, Nervous System/genetics , Paraneoplastic Syndromes, Nervous System/immunologyABSTRACT
Background: We aim to investigate the possible causal association between Hashimoto's thyroiditis (HT) and rheumatoid arthritis (RA) using Mendelian randomization (MR) methods. Methods: A bidirectional MR analysis was conducted to evaluate the causal association between HT and RA. We obtained summary statistics data from two extensive genome-wide association studies (GWAS) comprising 15,654 cases of HT and 14,361 cases of RA. The primary effect estimate utilized in this study was the inverse-variance weighted (IVW) method. To ensure the reliability and stability of the results, we employed several additional methods for testing, including MR-Egger, weighted median, simple mode, weighted mode, and MR-PRESSO. Results: Our study revealed compelling evidence of bidirectional causality between HT and RA. When HT was considered as an exposure factor and RA was considered as an outcome factor, this study revealed a positive correlation between HT and RA (IVW: odds ratio [OR] = 2.4546, 95% confidence interval [CI], 1.1473-5.2512; p = 0.0207). Conversely, when we examined RA as the exposure factor and HT as the outcome factor, we still found a positive correlation between them (IVW: OR = 1.2113, 95% CI, 1.1248-1.3044; p = 3.9478 × 10-7). Conclusions: According to our research findings, there exists a bidirectional positive causal relationship between HT and RA among European populations. This implies that individuals with HT have an elevated risk of developing RA, and conversely, individuals with RA have an increased risk of developing HT.
Subject(s)
Arthritis, Rheumatoid , Genetic Predisposition to Disease , Genome-Wide Association Study , Hashimoto Disease , Mendelian Randomization Analysis , Polymorphism, Single Nucleotide , Arthritis, Rheumatoid/genetics , Humans , Mendelian Randomization Analysis/methods , Hashimoto Disease/genetics , Genome-Wide Association Study/methods , Polymorphism, Single Nucleotide/genetics , Odds Ratio , Risk Factors , FemaleABSTRACT
(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.
Subject(s)
Hashimoto Disease , Thyroiditis, Autoimmune , Humans , Autoantibodies , Hashimoto Disease/genetics , Iodide Peroxidase/genetics , Poland , Polymorphism, Single Nucleotide , Thyroiditis, Autoimmune/geneticsABSTRACT
Background and objectives: Hashimoto's thyroiditis (HT), a chronic autoimmune disorder impacting thyroid function, is a growing public health concern. The relationship between Treg cells and HT has been extensively studied, with Treg cells considered crucial in suppressing HT progression. However, these studies have mainly been observational, limiting our understanding of Treg cells' impact on HT risk. Leveraging large datasets, we utilized Mendelian randomization (MR) analysis to examine the causal association between Treg cell biomarkers and HT, providing additional validation for these relationships. Methods: Comprehensive two-sample Mendelian randomization analysis was performed to determine the causal association between Treg cells signatures and HT in this study. Based on publicly available genetic data, we explored causal associations between 165 Treg cells signatures and HT risk. Results: The European cohort study has identified five Treg cell phenotypes that causally protect against HT risk. Resting Treg %CD4 (OR = 0.975, 95% CI = 0.954~0.998, P = 0.030); CD4 on resting Treg (OR = 0.938, 95% CI = 0.882~0.997, P = 0.041; CD28- CD8dim %CD8dim (OR = 0.983, 95% CI = 0.969~0.998, P = 0.030); CD25 on CD39+ resting Treg (OR = 0.926, 95% CI = 0.864~0.991, P = 0.026); 5) CD28 on activated & secreting Treg (OR = 0.969, 95% CI = 0.942~0.996, P = 0.025). The Asian cohort study has identified four Treg cell phenotypes negatively correlated with the risk of HT. CD25hi %T cell (OR = 0.635, 95% CI = 0.473~852, P = 0.002); CD4 Treg %CD4 (OR = 0.829, 95% CI = 0.687~1.000, P = 0.050); CD127-CD8br %T cell (OR = 0.463, 95% CI =0.311~0.687, P< 0.001); CD3 on resting Treg (OR = 0.786, 95% CI = 0.621~0.994, P = 0.044). Conclusion: Our study has demonstrated the close connection between Treg cells and HT by genetic means, thus providing foundational basis for future research.
Subject(s)
Hashimoto Disease , T-Lymphocytes, Regulatory , Humans , Protective Factors , CD28 Antigens , Cohort Studies , Mendelian Randomization Analysis , Hashimoto Disease/geneticsABSTRACT
PURPOSE: Exploring the connection between Hashimoto's thyroiditis (HT) and non-alcoholic fatty liver disease (NAFLD) through integrated genetic approaches. METHODS: We utilized integrated genetic approaches, such as single-cell RNA sequencing (scRNA-seq) data analysis, Mendelian Randomization (MR), colocalization analysis, cell communication, and metabolic analyses, to investigate potential correlations between HT and NAFLD. RESULTS: Through the integrated analysis of scRNA-seq data from individuals with HT, NAFLD, and healthy controls, we observed an upregulation in the proportion of CD4+central memory (CD4+CM) T cells among T cells in both diseases. A total of 63 differentially expressed genes (DEGs) were identified in the CD4+CM cells after the differential analysis. By using MR, 8 DEGs (MAGI3, CSGALNACT1, CAMK4, GRIP1, TRAT1, IL7R, ERN1, and MB21D2) were identified to have a causal relationship with HT, and 4 DEGs (MAGI3, RCAN3, DOCK10, and SAMD12) had a causal relationship with NAFLD. MAGI3 was found to be causally linked to both HT and NAFLD. Therefore, MAGI3 was designated as the marker gene. Reverse MR and Steiger filtering showed no evidence of reverse causality. Colocalization analyses further indicated close links between MAGI3 and HT as well as NAFLD. Finally, based on the expression levels of MAGI3, we stratified CD4+CM cells into two subsets: MAGI3+CD4+CM cells and MAGI3-CD4+CM cells. Functional analyses revealed significant differences between the two subsets, potentially related to the progression of the two diseases. CONCLUSION: This study delves into the potential connections between HT and NAFLD through integrated genetic methods. Our research reveals an elevated proportion of CD4+CM cells within T cells in both HT and NAFLD. Through MR and colocalization analysis, we identify specific genes causally linked to HT and NAFLD, such as MAGI3. Ultimately, based on MAGI3 expression levels, we categorize CD4+CM cells into MAGI3+CD4+CM cells and MAGI3-CD4+CM cells, uncovering significant differences between them through functional analyses.