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pmid:34493981

Integrative Analyses of Genes Associated with Hashimoto's Thyroiditis.

Kangli Qiu · Kai Li · Tianshu Zeng · Yunfei Liao · Jie Min · Nan Zhang · Miaomiao Peng · Wen Kong · Lu-Lu Chen

Journal of immunology research · 2021 doi:10.1155/2021/8263829

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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title
Integrative Analyses of Genes Associated with Hashimoto's Thyroiditis.
doi
10.1155/2021/8263829
pmid
34493981
authors array · 9 items
[0]
Kangli Qiu
[1]
Kai Li
[2]
Tianshu Zeng
[3]
Yunfei Liao
[4]
Jie Min
[5]
Nan Zhang
[6]
Miaomiao Peng
[7]
Wen Kong
[8]
Lu-Lu Chen
journal
Journal of immunology research
year
2021
abstract
OBJECTIVE: Hashimoto's thyroiditis, also known as chronic lymphocytic thyroiditis, is a common autoimmune thyroiditis, which mostly occurs in young and middle-aged women. It can be manifested as hyperthyroidism in the early stage; hypothyroidism may appear with the progression of the disease. Studies have shown that multiple factors such as heredity, environment, and autoimmunity are involved in the pathogenesis, but the specific mechanism is not clear. In our study, we tried to find key genes and potential molecular mechanisms of Hashimoto's thyroiditis to provide new ideas for the therapeutic targets of Hashimoto's thyroiditis. METHOD: GSE138198 and GSE54958 were downloaded from the GEO database, and two datasets were combined for analysis. The combined data were normalized to identify the differentially expressed genes (DEGs), and GO and KEGG enrichment analyses were performed. Protein-protein interaction (PPI) networks and hub genes between DEGs were identified. We also used the miRWalk database to identify regulatory miRNAs associated with expressions of DEGs. RESULT: We identified 182 DEGs (160 upregulated and 22 downregulated) between Hashimoto's disease patients and the healthy control group. GO analysis showed that DEGs were mostly concentrated in detection of chemical stimulus involved in sensory perception, intermediate filament cytoskeleton, and olfactory receptor activity. KEGG pathway analysis showed that DEGs were mainly related to olfactory transduction. Some members of the KRTAP family and HTR5A, KNG1, DRD3, HTR1D, TAS2R16, INSL5, TAS2R42, and GRM7 are the most important hub genes in the PPI network. In addition, we recognized that OTUD4, LLPH, and ECHDC1 were the most important hub genes in the miRNA-target gene network. CONCLUSION: In this study, a series of bioinformatics analyses of DEGs were performed to identify the key genes and pathways associated with Hashimoto's thyroiditis. These genes and pathways provide a more detailed understanding of the pathogenesis of Hashimoto's disease and provide new ideas for the therapeutic targets of Hashimoto's thyroiditis.
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The GSE138198 and GSE54958 raw datasets were evaluated using the limma R package, and the two datasets were merged for joint analysis.
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Differentially expression profiling in Hashimoto's thyroiditis (HT), papillary thyroid carcinoma (PTC) with HT in background, PTC without HT in background, micro PTC (mPTC), and three normal thyroid samples (TN).
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Expression profiling in proliferative thyroid lesions of different histologies and normal thyroid tissue
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{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34493981", "kind": "science-record", "revision": 8, "content_hash": "sha256:6dcb82ad201dca460cb13f399bebaf73771c55cf137f9372508248160afef436", "created_at": "2026-11-01T15:41:51Z", "updated_at": "2026-11-01T22:47:27Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Integrative Analyses of Genes Associated with Hashimoto's Thyroiditis.", "doi": "10.1155/2021/8263829", "pmid": "34493981", "authors": ["Kangli Qiu", "Kai Li", "Tianshu Zeng", "Yunfei Liao", "Jie Min", "Nan Zhang", "Miaomiao Peng", "Wen Kong", "Lu-Lu Chen"], "journal": "Journal of immunology research", "year": 2021, "abstract": "OBJECTIVE: Hashimoto's thyroiditis, also known as chronic lymphocytic thyroiditis, is a common autoimmune thyroiditis, which mostly occurs in young and middle-aged women. It can be manifested as hyperthyroidism in the early stage; hypothyroidism may appear with the progression of the disease. Studies have shown that multiple factors such as heredity, environment, and autoimmunity are involved in the pathogenesis, but the specific mechanism is not clear. In our study, we tried to find key genes and potential molecular mechanisms of Hashimoto's thyroiditis to provide new ideas for the therapeutic targets of Hashimoto's thyroiditis.\nMETHOD: GSE138198 and GSE54958 were downloaded from the GEO database, and two datasets were combined for analysis. The combined data were normalized to identify the differentially expressed genes (DEGs), and GO and KEGG enrichment analyses were performed. Protein-protein interaction (PPI) networks and hub genes between DEGs were identified. We also used the miRWalk database to identify regulatory miRNAs associated with expressions of DEGs.\nRESULT: We identified 182 DEGs (160 upregulated and 22 downregulated) between Hashimoto's disease patients and the healthy control group. GO analysis showed that DEGs were mostly concentrated in detection of chemical stimulus involved in sensory perception, intermediate filament cytoskeleton, and olfactory receptor activity. KEGG pathway analysis showed that DEGs were mainly related to olfactory transduction. Some members of the KRTAP family and HTR5A, KNG1, DRD3, HTR1D, TAS2R16, INSL5, TAS2R42, and GRM7 are the most important hub genes in the PPI network. In addition, we recognized that OTUD4, LLPH, and ECHDC1 were the most important hub genes in the miRNA-target gene network.\nCONCLUSION: In this study, a series of bioinformatics analyses of DEGs were performed to identify the key genes and pathways associated with Hashimoto's thyroiditis. These genes and pathways provide a more detailed understanding of the pathogenesis of Hashimoto's disease and provide new ideas for the therapeutic targets of Hashimoto's thyroiditis.", "claims": [{"id": "claim-method", "statement": "The GSE138198 and GSE54958 raw datasets were evaluated using the limma R package, and the two datasets were merged for joint analysis.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34493981", "locator": "sections[4] \"2.2. 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