The Impact of Smoking on Bone Metabolism, Bone Mineral Density and Vertebral Fractures in Postmenopausal Women

Trevisan, Caterina; Alessi, Agnese; Girotti, G.; Zanforlini, Bruno Micael; Bertocco, Anna; Mazzochin, Mattia; Zoccarato, Francesca; Piovesan, Francesca; Dianin, Marta; Giannini, Sandro; Manzato, Enzo; Sergi, Giuseppe

doi:10.1016/j.jocd.2019.07.007

Cited by 43 publications

(27 citation statements)

References 41 publications

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“…The results of numerous studies had concluded that smoking had a negative impact on human bone. The results of the present study showed that the risk of abnormal BMD was 1.908 (95CI: 1.547, 2.353) times higher in workers who smoked compared to those who never smoked, which was consistent with the results of previous studies [ 42 , 43 , 44 ]. The possible reasons for this were that tobacco can affect the production and metabolism of estrogen and androgen, affect the activity of osteoblasts and osteoclasts, and inhibit the vitamin D-parathyroid hormone axis, which can had a negative impact on bones [ 45 ].…”

Section: Discussionsupporting

confidence: 92%

A Predictive Model for Abnormal Bone Density in Male Underground Coal Mine Workers

Zheng¹,

Chen²,

Yang³

et al. 2022

IJERPH

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The dark and humid environment of underground coal mines had a detrimental effect on workers’ skeletal health. Optimal risk prediction models can protect the skeletal health of coal miners by identifying those at risk of abnormal bone density as early as possible. A total of 3695 male underground workers who attended occupational health physical examination in a coal mine in Hebei, China, from July to August 2018 were included in this study. The predictor variables were identified through single-factor analysis and literature review. Three prediction models, Logistic Regression, CNN and XG Boost, were developed to evaluate the prediction performance. The training set results showed that the sensitivity of Logistic Regression, XG Boost and CNN models was 74.687, 82.058, 70.620, the specificity was 80.986, 89.448, 91.866, the F1 scores was 0.618, 0.919, 0.740, the Brier scores was 0.153, 0.040, 0.156, and the Calibration-in-the-large was 0.104, 0.020, 0.076, respectively, XG Boost outperformed the other two models. Similar results were obtained for the test set and validation set. A two-by-two comparison of the area under the ROC curve (AUC) of the three models showed that the XG Boost model had the best prediction performance. The XG Boost model had a high application value and outperformed the CNN and Logistic regression models in prediction.

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Section: Discussionsupporting

confidence: 92%

A Predictive Model for Abnormal Bone Density in Male Underground Coal Mine Workers

Zheng¹,

Chen²,

Yang³

et al. 2022

IJERPH

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“…To our knowledge, this is the first study that has analyzed subgroups in association with hyperuricemia and osteoporosis. Many studies have reported that smoking 30 , alcohol consumption 33 and nutritional intake 34 are factors influencing bone metabolism. In our study, there were still significant findings after adjusting for confounders.…”

Section: Discussionmentioning

confidence: 99%

“…Chi-square tests were used to compare the rates of sex, income group, smoking, alcohol consumption, and hypertension, diabetes mellitus, and hyperlipidemia history 30 . Independent t-tests were used to compare age, BMI, and nutritional intake 7 .…”

Section: Methodsmentioning

confidence: 99%

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Analyses of the relationship between hyperuricemia and osteoporosis

Lee

Kwon

Choi

2021

Sci Rep

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The aim of the present study was to evaluate the association between hyperuricemia and osteoporosis in a Korean population. Data from participants of the Korean Genome and Epidemiology Study who were ≥ 40 years old were collected from 2004 to 2016. Among 173,209 participants, 11,781 with hyperuricemia (> 7.0 mg/dL in men and > 6.0 mg/dL in women) and 156,580 controls were selected based on serum measurements. Odds ratios (ORs) of osteoporosis between individuals with hyperuricemia and controls were analyzed using a logistic regression model. In the adjusted model, age, sex, income group, body mass index, smoking, alcohol consumption, hypertension, diabetes mellitus, hyperlipidemia history and nutritional intake were adjusted. The adjusted OR (aOR) of osteoporosis was 0.79 [95% confidence interval (CI) = 0.71–0.87, P < 0.001]. In subgroup analyses according to age and sex, statistical significance was observed in men > 60 years old and in women > 50 years old. In another subgroup analysis according to past medical history, significant differences were found according to hypertension (aOR = 0.83, 95% CI = 0.73–0.94, and 0.75, 95% CI = 0.64–0.87), diabetes mellitus (aOR = 0.77, 95% CI = 0.69–0.86), and hyperlipidemia (aOR = 0.74, 95% CI = 0.61–0.89, and 0.81, 95% CI = 0.72–0.91). This study demonstrated that hyperuricemia was associated with a decreased risk of osteoporosis.

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“…Therefore, the prevention and treatment of PMOP are particularly important. There have been many studies in recent years on the pathogenesis of PMOP, and they have shown that [ 5 – 12 ] numerous factors are closely related to the pathogenesis of PMOP, including reproductive history, age, dietary exercise, body mass index, and genetics. The clinical treatments for PMOP principally include bisphosphonates, hormone-replacement therapy, selective estrogen receptor modulators, and parathyroid hormone; however, the effects of those treatment methods usually cause obvious side effects [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

Use of Network Pharmacology and Molecular Docking Technology to Analyze the Mechanism of Action of Velvet Antler in the Treatment of Postmenopausal Osteoporosis

Guo

Wang

Luo

et al. 2021

Evidence-Based Complementary and Alternative Medicine

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Deer velvet antlers are the young horns of male deer that are not ossified and densely overgrown. Velvet antler and its preparations have been widely used in the treatment of postmenopausal osteoporosis (PMOP) in recent years, although its mechanism of action in the human body remains unclear. To screen the effective ingredients and targets of velvet antler in the treatment of PMOP using network pharmacology and to explore the potential mechanisms of velvet antler action in such treatments, we screened the active ingredients and targets of velvet antler in the BATMAN-TCM database. We also screened the relevant targets of PMOP in the GeneCards and OMIM databases and then compared the targets at the intersection of both velvet antler and PMOP. We used Cytoscape 3.7.2 software to construct a network diagram of “disease-drug-components-targets” and a protein-protein interaction (PPI) network through the STRING database and screened out the core targets; the R language was then used to analyze the shared targets between antler and PMOP for GO-enrichment analysis and KEGG pathway-annotation analysis. Furthermore, we used the professional software Maestro 11.1 to verify the predictive analysis based on network pharmacology. Hematoxylin-eosin (H&E) staining and micro-CT were used to observe the changes in trabecular bone tissue, further confirming the results of network pharmacological analysis. The potentially effective components of velvet antler principally include 17β-E2, adenosine triphosphate, and oestrone. These components act on key target genes such as AKT1, IL6, MAPK3, TP53, EGFR, SRC, and TNF and regulate the PI3K/Akt-signaling and MAPK-signaling pathways. These molecules participate in a series of processes such as cellular differentiation, apoptosis, metabolism, and inflammation and can ultimately be used to treat PMOP; they reflect the overall regulation, network regulation, and protein interactions.

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The Impact of Smoking on Bone Metabolism, Bone Mineral Density and Vertebral Fractures in Postmenopausal Women

Cited by 43 publications

References 41 publications

A Predictive Model for Abnormal Bone Density in Male Underground Coal Mine Workers

A Predictive Model for Abnormal Bone Density in Male Underground Coal Mine Workers

Analyses of the relationship between hyperuricemia and osteoporosis

Use of Network Pharmacology and Molecular Docking Technology to Analyze the Mechanism of Action of Velvet Antler in the Treatment of Postmenopausal Osteoporosis

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