August 16, 2025Scientific ReportsOpen Access

Exploring the role of lipid metabolism related genes and immune microenvironment in periodontitis by integrating machine learning and bioinformatics analysis

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The integrated lipid metabolism-related genes score shows excellent diagnostic performance with an area under the curve of 0.954.
Key hub genes like ADGRF5 and FABP4 are upregulated, indicating their significant roles in periodontitis pathology.
Assessment using machine learning methods and analysis of immune cell infiltration elucidates important immune interactions.
Single-cell RNA sequencing uncovers distinct immune cell types and communication networks crucial for understanding periodontitis.

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Analysis reveals diagnostic potential of lipid metabolism-related genes in periodontitis, indicating immune microenvironment impact.

Wei et al. (2025) studied this question.

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