Genetic relationship between Hashimoto`s thyroiditis and papillary thyroid carcinoma with coexisting Hashimoto`s thyroiditis

Subhi, Ohoud; Schulten, Hans-Juergen; Bagatian, Nadia; Al-Dayini, Roa'a; Karim, Sajjad; Bakhashab, Sherin; Alotibi, Reem; Alahmadi, Alaa; Ata, Manar; Elaimi, Aisha; Almuhayawi, Saad M.; Mansouri, Majdi; Al‐Ghamdi, Khalid A.; Hamour, Osman A; Jamal, Awatif; Al-Maghrabi, Jaudah; Al‐Qahtani, Mohammed

doi:10.1371/journal.pone.0234566

Cited by 26 publications

(17 citation statements)

References 81 publications

(90 reference statements)

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“…Typically, T4 is the preferred thyroid hormone test for hypothyroidism. [ 3 ] In the Table 2 showed increased levels of MCP 1 in patients compared with control groups, its one of the main chemokines molecules with powerful chemotactic action for monocyte and macrophage cells at inflammatory site. MCP-1 is produced by several cell types, including mesangial, podocytes, and monocytes, in response to various proinflammatory stimuli such as tumor necrosis factor alpha.…”

Section: R Esults and Discussionmentioning

confidence: 99%

“…In addition to the risk factors for incidence Hashimoto's thyroiditis include environmental factors, such as iodine deficiency and infection, and nonenvironmental risk factors, such as genetic susceptibility, which may be associated with a history of hereditary autoimmune disorders in some cases. [ 3 ] Therefore, autoimmune thyroiditis is, thus, a polygenic disorder arising from a complex set of genetic and environmental causes and the function of both is still poorly understood. [ 4 ] A number of genetic susceptibility loci associated with autoimmunity have been identified by genome-wide association study, especially with the production of thyroid autoantibodies.…”

Section: Introductionmentioning

confidence: 99%

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The prevalence role of monocyte chemoattractant protein-1 in hashimoto's thyroiditis via various stimuli mechanisms

2021

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Section: R Esults and Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The prevalence role of monocyte chemoattractant protein-1 in hashimoto's thyroiditis via various stimuli mechanisms

2021

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“…Due to its activation of the transcription factor T-bet, STAT1 was recognized to be crucial for the production of Th1 cells downstream of IFN-γ [35]. STAT1 was involved in the signaling of IFN and a variety of interleukins, making it an important part of the normal immune response and also has a role in the shape and function of the thyroid [36]. Cluster of differentiation (CD4) is a glycoprotein that functions as a co-receptor for the T-cell receptor, which is encoded by the CD4 gene [37].…”

Section: Discussionmentioning

confidence: 99%

Bioinformatics-Based Study to Investigate Potential Differentially Expressed Genes and miRNAs in Hashimoto’s Thyroiditis

et al. 2021

Preprint

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BackgroundHashimoto's thyroiditis (HT), also known as chronic lymphocytic thyroiditis, is a common autoimmune disease, which mainly occurs in women. The early manifestation was hyperthyroidism, however, hypothyroidism may occur if HT was not controlled for a long time. Numerous studies have shown that multiple factors, including genetic, environmental, and autoimmune factors, were involved in the pathogenesis of the disease, but the exact mechanisms were not yet clear. The aim of this study was to identify differentially expressed genes (DEGs) by comprehensive analysis and to provide specific insights into HT. MethodsTwo gene expression profiles (GSE6339, GSE138198) about HT were downloaded from the Gene Expression Omnibus (GEO) database. The DEGs were assessed between the HT and normal groups using the GEO2R. The DEGs were then sent to the Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. The hub genes were discovered using Cytoscape and CytoHubba. Finally, NetworkAnalyst was utilized to create the hub genes' targeted microRNAs (miRNAs). ResultsA total of 62 DEGs were discovered, including 60 up-regulated and 2 down-regulated DEGs. The signaling pathways were mainly engaged in cytokine interaction and cytotoxicity, and the DEGs were mostly enriched in immunological and inflammatory responses. IL2RA, CXCL9, IL10RA, CCL3, CCL4, CCL2, STAT1, CD4, CSF1R, and ITGAX were chosen as hub genes based on the results of the protein-protein interaction (PPI) network and CytoHubba. Five miRNAs, including mir-24-3p, mir-223-3p, mir-155-5p, mir-34a-5p, mir-26b-5p, and mir-6499-3p, were suggested as likely important miRNAs in HT. ConclusionsThese hub genes, pathways and miRNAs contribute to a better understanding of the pathophysiology of HT and offer potential treatment options for HT.

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“…The T1D dataset GSE72492 ( 7 ) contained pancreas samples from 10 T1D patients, 6 auto-antibody positive individuals (AP) but not diagnosed with T1D and 7 normal controls (NC). In the HT dataset GSE138198 ( 8 ), data from 13 HT thyroid samples and three normal thyroid samples were used for analysis. The CD dataset GSE164883 ( 9 ) included intestinal tissues samples from 25 CD patients and 21 normal controls.…”

Section: Methodsmentioning

confidence: 99%

Gene Expression Signatures Reveal Common Virus Infection Pathways in Target Tissues of Type 1 Diabetes, Hashimoto’s Thyroiditis, and Celiac Disease

et al. 2022

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Type 1 diabetes (T1D) patients are at heightened risk for other autoimmune disorders, particularly Hashimoto’s thyroiditis (HT) and celiac disease (CD). Recent evidence suggests that target tissues of autoimmune diseases engage in a harmful dialogue with the immune system. However, it is unclear whether shared mechanisms drive similar molecular signatures at the target tissues among T1D, HT, and CD. In our current study, microarray datasets were obtained and mined to identify gene signatures from disease-specific targeted tissues including the pancreas, thyroid, and intestine from individuals with T1D, HT, and CD, as well as their matched controls. Further, the threshold-free algorithm rank-rank hypergeometric overlap analysis (RRHO) was used to compare the genomic signatures of the target tissues of the three autoimmune diseases. Next, promising drugs that could potentially reverse the observed signatures in patients with two or more autoimmune disorders were identified using the cloud-based CLUE software platform. Finally, microarray data of auto-antibody positive individuals but not diagnosed with T1D and single cell sequencing data of patients with T1D and HT were used to validate the shared transcriptomic fingerprint. Our findings revealed significant common gene expression changes in target tissues of the three autoimmune diseases studied, many of which are associated with virus infections, including influenza A, human T-lymphotropic virus type 1, and herpes simplex infection. These findings support the importance of common environmental factors in the pathogenesis of T1D, HT, and CD.

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Genetic relationship between Hashimoto`s thyroiditis and papillary thyroid carcinoma with coexisting Hashimoto`s thyroiditis

Cited by 26 publications

References 81 publications

The prevalence role of monocyte chemoattractant protein-1 in hashimoto's thyroiditis via various stimuli mechanisms

The prevalence role of monocyte chemoattractant protein-1 in hashimoto's thyroiditis via various stimuli mechanisms

Bioinformatics-Based Study to Investigate Potential Differentially Expressed Genes and miRNAs in Hashimoto’s Thyroiditis

Gene Expression Signatures Reveal Common Virus Infection Pathways in Target Tissues of Type 1 Diabetes, Hashimoto’s Thyroiditis, and Celiac Disease

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