Javascript must be enabled to continue!
Bioinformatics Unravels the Epigenetic Mechanisms of Hashimoto’s Thyroiditis: Deciphering Molecular Complexity
View through CrossRef
ABSTRACT
Introduction
Recent research in the field of epigenetics has shed light on the impact of epigenetic modifications in the development and progression of Hashimoto’s thyroiditis (HT). However, the epigenetic roles in HT are still not fully elucidated.
Objective
To exhibit an
in silico
representation of the epigenetic mechanism in HT development and explicate their function in the pathogenesis of the ailment.
Methods
Genetic data were retrieved from GEO database (NCBI) for DNA methylation assessment through bioinformatics. We evaluated 6 HT samples from GSE29315 dataset. Normalization of the data was performed to identify differentially expressed genes (DEGs). Standardization of all expression data was accomplished using the R programming language. The R package was employed for the analysis of DEGs. Genes exhibiting an expression fold change greater than 4 and a P-value less than 0.05 were considered to be DEGs.
Results
The expression data from the 6 HT specimens in GSE29315 (GSM724489, GSM724490, GSM724491, GSM724492, GSM724493, GSM724494) were patterned. In total, 71 DEGs, including 63 positively regulated genes and 7 negatively regulated genes, were identified. An expression density plot was used to display the clustering of DEGs, and average log-expression was constructed to visually display all DEGs in the HT sample. In the
in silico
simulation of the methylated regions in gene GSE29315, we identify specific CpG sites within the analyzed regions that showed significant methylation changes: Region 1 - Promoter Region: CpG site 1: Hypomethylated (40% methylation), CpG site 2: Hypomethylated (35% methylation), and CpG site 3: Hypomethylated (38% methylation); Region 2 - Enhancer Region: CpG site 4: Hypermethylated (80% methylation). CpG site 5: Hypermethylated (75% methylation), and CpG site 6: Hypermethylated (85% methylation); Region 3 - Transcription Start Site: CpG site 7: Hypomethylated (30% methylation), CpG site 8: Hypomethylated (25% methylation), and CpG site 9: Hypomethylated (28% methylation); Region 4 - Intronic Region: CpG site 10: Hypermethylated (70% methylation), CpG site 11: Hypermethylated (65% methylation), and CpG site 12: Hypermethylated (75% methylation.
Conclusion
Our analysis of the GSE29315 gene revealed significant hypermethylation in specific regions, which could lead to gene silencing or altered gene expression. Additionally, we identified regions of hypomethylation that may upregulate gene activity.
Title: Bioinformatics Unravels the Epigenetic Mechanisms of Hashimoto’s Thyroiditis: Deciphering Molecular Complexity
Description:
ABSTRACT
Introduction
Recent research in the field of epigenetics has shed light on the impact of epigenetic modifications in the development and progression of Hashimoto’s thyroiditis (HT).
However, the epigenetic roles in HT are still not fully elucidated.
Objective
To exhibit an
in silico
representation of the epigenetic mechanism in HT development and explicate their function in the pathogenesis of the ailment.
Methods
Genetic data were retrieved from GEO database (NCBI) for DNA methylation assessment through bioinformatics.
We evaluated 6 HT samples from GSE29315 dataset.
Normalization of the data was performed to identify differentially expressed genes (DEGs).
Standardization of all expression data was accomplished using the R programming language.
The R package was employed for the analysis of DEGs.
Genes exhibiting an expression fold change greater than 4 and a P-value less than 0.
05 were considered to be DEGs.
Results
The expression data from the 6 HT specimens in GSE29315 (GSM724489, GSM724490, GSM724491, GSM724492, GSM724493, GSM724494) were patterned.
In total, 71 DEGs, including 63 positively regulated genes and 7 negatively regulated genes, were identified.
An expression density plot was used to display the clustering of DEGs, and average log-expression was constructed to visually display all DEGs in the HT sample.
In the
in silico
simulation of the methylated regions in gene GSE29315, we identify specific CpG sites within the analyzed regions that showed significant methylation changes: Region 1 - Promoter Region: CpG site 1: Hypomethylated (40% methylation), CpG site 2: Hypomethylated (35% methylation), and CpG site 3: Hypomethylated (38% methylation); Region 2 - Enhancer Region: CpG site 4: Hypermethylated (80% methylation).
CpG site 5: Hypermethylated (75% methylation), and CpG site 6: Hypermethylated (85% methylation); Region 3 - Transcription Start Site: CpG site 7: Hypomethylated (30% methylation), CpG site 8: Hypomethylated (25% methylation), and CpG site 9: Hypomethylated (28% methylation); Region 4 - Intronic Region: CpG site 10: Hypermethylated (70% methylation), CpG site 11: Hypermethylated (65% methylation), and CpG site 12: Hypermethylated (75% methylation.
Conclusion
Our analysis of the GSE29315 gene revealed significant hypermethylation in specific regions, which could lead to gene silencing or altered gene expression.
Additionally, we identified regions of hypomethylation that may upregulate gene activity.
Related Results
Clinical Significance Of Co-Existance Of Hashimoto Thyroiditis (HT) With Differentiated Thyroid Cancer (DTC)
Clinical Significance Of Co-Existance Of Hashimoto Thyroiditis (HT) With Differentiated Thyroid Cancer (DTC)
Abstract
Background
Hashimoto's Thyroiditis represents a long-term autoimmune condition which ordinarily develops in people diagnosed with Differentiated Thyroid C...
relationship between vitamin D and TPO antibody in Hashimoto's thyroiditis
relationship between vitamin D and TPO antibody in Hashimoto's thyroiditis
Introduction: Hashimoto's thyroiditis is autoimmune disease that effect on thyroid gland tissue via penetration some special white blood cells (called lymphocyte) into thyroid glan...
Primary Thyroid Non-Hodgkin B-Cell Lymphoma: A Case Series
Primary Thyroid Non-Hodgkin B-Cell Lymphoma: A Case Series
Abstract
Introduction
Non-Hodgkin lymphoma (NHL) of the thyroid, a rare malignancy linked to autoimmune disorders, is poorly understood in terms of its pathogenesis and treatment o...
CTLA-4 POLYMORPHISM ALONG WITH PROINFLAMMATORY CYTOKINES IN AUTOIMMUNE THYROIDITIS DISEASE
CTLA-4 POLYMORPHISM ALONG WITH PROINFLAMMATORY CYTOKINES IN AUTOIMMUNE THYROIDITIS DISEASE
The aim: Evaluating serum concentration of IL-17 and IL-23 in autoimmune thyroiditis patient and control group along with the role of CTLA-4 rs3087243 gene polymorphism.
Materials ...
CYTOLOGICAL, ULTRASOUND AND BIOCHEMICAL CORRELATION IN HASHIMOTO’S THYROIDITIS, FARIDABAD, INDIA: A RETROSPECTIVE CROSS-SECTIONAL ANALYSIS.
CYTOLOGICAL, ULTRASOUND AND BIOCHEMICAL CORRELATION IN HASHIMOTO’S THYROIDITIS, FARIDABAD, INDIA: A RETROSPECTIVE CROSS-SECTIONAL ANALYSIS.
Background
Hashimoto’s thyroiditis, an autoimmune disorder that impairs thyroid hormone production via antibody-mediated destruction of thyroid cells, affects women more frequently...
Recurrent Silent Thyroiditis as a Sequela of Postpartum Thyroiditis
Recurrent Silent Thyroiditis as a Sequela of Postpartum Thyroiditis
Thyroiditis encompasses a group of disorders characterized by thyroid inflammation. Though clinically indistinguishable from silent thyroiditis, postpartum thyroiditis occurs in wo...
Autoimmune Hashimoto’s Thyroiditis and Hypothyroidism: Novel Aspects
Autoimmune Hashimoto’s Thyroiditis and Hypothyroidism: Novel Aspects
Autoimmune Hashimoto’s thyroiditis is an organ specific autoimmune disorder. It affects the thyroid gland and it is characterized by the presence of antibodies to thyroid proteins,...
Hashimoto Heartbreak: The Silent Squeeze of Autoimmune Hypothyroidism
Hashimoto Heartbreak: The Silent Squeeze of Autoimmune Hypothyroidism
Abstract
Background: Cardiac tamponade is a life-threatening condition characterized by the accumulation of fluid in the pericardial space, leading to compromised...

