2022
DOI: 10.3389/fendo.2022.950030
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Integrated Bioinformatic Analysis of the Shared Molecular Mechanisms Between Osteoporosis and Atherosclerosis

Abstract: BackgroundOsteoporosis and atherosclerosis are common in the elderly population, conferring a heavy worldwide burden. Evidence links osteoporosis and atherosclerosis but the exact underlying common mechanism of its occurrence is unclear. The purpose of this study is to further explore the molecular mechanism between osteoporosis and atherosclerosis through integrated bioinformatic analysis.MethodsThe microarray data of osteoporosis and atherosclerosis in the Gene Expression Omnibus (GEO) database were download… Show more

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Cited by 33 publications
(17 citation statements)
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References 71 publications
(69 reference statements)
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“…Furthermore, in this group, higher NLR was correlated with arterial stiffness, an indicator of subclinical atherosclerosis [ 34 ]. Taking into account the proposed association between CVD and bone metabolism [ 77 ], as well as the recent gene analysis pointing to an immune and inflammatory response as a shared factor in the pathophysiology of both atherosclerosis and osteoporosis [ 78 ], the above-mentioned research suggests a correlation with bone mass density and osteoporosis appear to corroborate our results. The lack of connection between PLR and ACS may result from including only platelet and lymphocyte counts, contrary to other markers that comprise monocytes and neutrophils with the functions described above.…”
Section: Discussionsupporting
confidence: 89%
“…Furthermore, in this group, higher NLR was correlated with arterial stiffness, an indicator of subclinical atherosclerosis [ 34 ]. Taking into account the proposed association between CVD and bone metabolism [ 77 ], as well as the recent gene analysis pointing to an immune and inflammatory response as a shared factor in the pathophysiology of both atherosclerosis and osteoporosis [ 78 ], the above-mentioned research suggests a correlation with bone mass density and osteoporosis appear to corroborate our results. The lack of connection between PLR and ACS may result from including only platelet and lymphocyte counts, contrary to other markers that comprise monocytes and neutrophils with the functions described above.…”
Section: Discussionsupporting
confidence: 89%
“…Co‐expressed genes are strong‐related genes and always affect a synergistic effect in malignancies 42,43 . In accordance with abundant previous studies, the co‐expressed genes in our study were calculated using correlation analysis based on high‐throughput data 43,44 . LPCAT1‐related genes can perfectly separate the GC and non‐tumorous tissue so we consider that LPCAT1 can combine these genes to play a role in promoting cancer.…”
Section: Discussionmentioning
confidence: 58%
“…The previous bioinformatics analyses have demonstrated the significant involvement of MI macrophages in various diseases associated with atherosclerosis. [47] Our results have shown there was a large influx of immune cells into the gastric mucosa, including macrophages and lymphocytes in CAG caused by H. pylori . M1 macrophages can release high levels of proinflammatory cytokines and inhibit acid secretion, leading to atrophic gastritis and parietal cell atrophy.…”
Section: Discussionmentioning
confidence: 83%