ArticlePloS one2025
Exploring the link between osteoporosis and stroke risk: An exploratory study based on 2017-2018 NHANES clinical data and bioinformatics analysis.
Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
objectiveThis study aims to explore the correlation between Osteoporosis and stroke risk, and find potential common key genes and drugs for intervention through bioinformatics methods.
methodsThis study used clinical data to assess the relationship between Osteoporosis and stroke risk through univariate and multivariate logistic regression analyses. Additionally, blood sequencing data from patients with Osteoporosis and stroke were obtained from the GEO database, and common key genes were identified using differential analysis, LASSO regression, and ROC curve methods. Potential interventional drugs were predicted using the DSigDB database.
resultsIn the initial model, Osteoporosis was significantly associated with stroke risk (OR=1.78, 95% CI: 1.14-2.78, p < 0.01). This association was still significant after adjusting for factors such as age, gender, race, and BMI (OR=1.84, 95% CI: 1.18-2.89, p = 0.007). Bioinformatics analysis identified LILRA5, HNRNPL and AGBL3 as common key genes for Osteoporosis and stroke, and these genes were highly effective in diagnosing both diseases. The DSigDB database predicted that Cyclopenthiazide, Neostigmine bromide, and R-atenolol could potentially intervene with these three genes.
conclusionThere is a significant positive correlation between Osteoporosis and stroke risk. LILRA5, HNRNPL and AGBL3 could be key genes common to both diseases, and Cyclopenthiazide, Neostigmine bromide, and R-atenolol could be potential drugs for intervention.
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