ArticleDisease markers2022
Transcriptomic Analysis Reveals Genetic Cross-Talk between Periodontitis and Hypothyroidism.
Article in Disease markers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed.
- Integrative multi-omics analyses identify key genes and elucidate bidirectional regulatory mechanisms in thyroid dysfunction.PloS one · 2026Article
- The oral - X axis: from periodontal dysbiosis to systemic disease.Frontiers in immunology · 2026Review
- Identification of key genes related to glutamine metabolism in diabetic nephropathy by machine learning methods.Scientific reports · 2025Article
- Exploring putative links between gut microbiota and allergic rhinitis: insights from Mendelian randomization and multi-transcriptome integration.AMB Express · 2025Article
- Preliminary exploration of potential biomarkers for heart failure and bipolar disorder: an exploratory study based on bioinformatics.Frontiers in psychiatry · 2025Article
- FAS-mediated circRNA-miRNA-mRNA Crosstalk Network Regulates Immune Cell Infiltration in Cerebral Infarction.Journal of molecular neuroscience : MN · 2023Article
- Unveiling the m6A Methylation Regulator Links between Prostate Cancer and Periodontitis by Transcriptomic Analysis.Disease markers · 2022Article
- Identifying crosstalk genetic biomarkers linking a neurodegenerative disease, Parkinson's disease, and periodontitis using integrated bioinformatics analyses.Frontiers in aging neuroscience · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Aim of this bioinformatics study based on transcriptomic analysis was to reveal the cross-talk between periodontitis (PD) and hypothyroidism (HT). Methods: The gene expression datasets GSE18152 and GSE176153 of HT and GSE10334, GSE16134, and GSE173078 of PD were downloaded through the Gene Expression Omnibus (GEO) database. Differential Expression Genes (DEG) between cases and controls in each microarray were assessed by using the "limma" (linear models for microarray data) R package (|log2 fold change (FC)| >0 and Results: The overlapping DEG between HT and PD were 107 cross-talk genes. The results revealed that developmental process ( Conclusions: A genetic cross-talk between HT and PD was detected, whereby LCE family genes appeared to play the most important role.
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