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Association between Hashimoto’s thyroiditis and ischaemic stroke and screening of key genes based on Mendelian randomization and bioinformatics methods
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Zhe ZHANG1, Cong WEN1, Kai-yun ZHANG2, Rui XU1
Modern Preventive Medicine | 2025, 52(6) : 994 - 1000
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Modern Preventive Medicine | 2025, 52(6): 994-1000
Epidemiology and Statistical Methods Advances
Association between Hashimoto’s thyroiditis and ischaemic stroke and screening of key genes based on Mendelian randomization and bioinformatics methods
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Zhe ZHANG1, Cong WEN1, Kai-yun ZHANG2, Rui XU1
Affiliations
  • Department of Cardiology, Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250013, China
Published: 2025-03-25 doi: 10.20043/j.cnki.MPM.202408176
Outline
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Objective

This study aimed to explore the causal relationship between Hashimoto's thyroiditis (HT) and ischemic stroke (IS) through Mendelian randomization (MR) and to identify key interacting genes using bioinformatics methods.

Methods

Single nucleotide polymorphisms (SNPs) significantly associated with exposure factors were selected as instrumental variables. The random-effects inverse-variance weighted method (IVW) was used as the main analysis method of MR analysis, and the odds ratio (OR) evaluated the causal association of HT and IS. The HT and IS datasets were downloaded from the GEO database. HT data were subjected to Weighted gene co-expression network analysis (WGCNA) and differential analysis and screened for overlapping genes between the two diseases by intersection of differential genes in IS. Hub genes were obtained by intersecting the top 20 genes in the five algorithms of the Cytoscape software cytoHubba package. LASSO regression was applied to identify key comorbidity genes.

Results

IVW results showed that HT was a risk factor for the development of IS (OR=1.087, 95% CI: 1.001-1.181, P=0.048) while IS did not increase the risk of HT (OR=1.159, 95% CI: 0.899-1.494, P=0.256). Integration analysis of HT and IS data identified 102 overlapping genes. A total of 11 Hub genes were identified by the five algorithms. LASSO regression ultimately identified SERBP1 and WDR75 as key comorbidity genes.

Conclusion

This study demonstrates that HT may be a risk factor for the development of IS through MR analysis and identified SERBP1 and WDR75 as key comorbidity genes for HT with IS using bioinformatics methods, which may be the potential therapeutic target for HT patients with IS.

Hashimoto’s thyroiditis  /  Ischemic stroke  /  Mendelian randomization  /  Bioinformatics  /  Comorbidity mechanism
Zhe ZHANG, Cong WEN, Kai-yun ZHANG, Rui XU. Association between Hashimoto’s thyroiditis and ischaemic stroke and screening of key genes based on Mendelian randomization and bioinformatics methods[J]. Modern Preventive Medicine, 2025 , 52 (6) : 994 -1000 . DOI: 10.20043/j.cnki.MPM.202408176
Year 2025 volume 52 Issue 6
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Article Info
doi: 10.20043/j.cnki.MPM.202408176
  • Receive Date:2024-08-13
  • Online Date:2026-03-18
  • Published:2025-03-25
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History
  • Received:2024-08-13
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    Department of Cardiology, Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250013, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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