Evidence map›Paper›PMID 41817853›Full record

ArticleImmunologic research2026

Association between osteoporosis and cardiovascular disease in women and the mediating role of inflammatory biomarkers: based on the NHANES database : Mediating role of inflammatory biomarkers between OP and CVD in women.

Bi Zhang, Yi Jiang, Luyi Zhou, Xiaotian Li, Jiaqi Huang, Jie Xiao

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Article in Immunologic research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Bi ZhangOrthopedics Department, The First People's Hospital of Jiande, No. 599, Yanzhou Avenue, Jiande City, Hangzhou City, Zhejiang Province, 311600, China.
Yi JiangOrthopedics Department, The First People's Hospital of Jiande, No. 599, Yanzhou Avenue, Jiande City, Hangzhou City, Zhejiang Province, 311600, China.
Luyi ZhouDepartment of Anesthesiology and Surgery, The First People's Hospital of Jiande, No. 599, Yanzhou Avenue, Jiande City, Hangzhou City, Zhejiang Province, 311600, China.
Xiaotian LiOrthopedics Department, The First People's Hospital of Jiande, No. 599, Yanzhou Avenue, Jiande City, Hangzhou City, Zhejiang Province, 311600, China.
Jiaqi HuangOrthopedics Department, The First People's Hospital of Jiande, No. 599, Yanzhou Avenue, Jiande City, Hangzhou City, Zhejiang Province, 311600, China.
Jie XiaoOrthopedics Department, The First People's Hospital of Jiande, No. 599, Yanzhou Avenue, Jiande City, Hangzhou City, Zhejiang Province, 311600, China. jiiexxiaoo@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monocyte-to-lymphocyte ratio (MLR) and systemic inflammation response index (SIRI) are independently associated with osteoporosis (OP) and cardiovascular disease (CVD). However, whether MLR and SIRI mediate the relationship between OP and CVD remains unknown. To investigate the linkage between OP and CVD prevalence in women and the mediating role of MLR and SIRI. Data were obtained from the NHANES. Logistic regression and restricted cubic spline analyses were used to explore the associations among OP, femoral bone mineral density (BMD), and CVD prevalence in women. Subgroup analyses were conducted to examine differences in the linkage between OP and CVD prevalence among different populations. Mediation analyses were performed to assess the mediating effects of MLR and SIRI in the aforementioned associations. Subgroup analysis evaluated association heterogeneity; mediation analysis assessed MLR and SIRI mediating effects. 2,292 participants were included. Logistic regression showed that in Model III, OP was positively linked with CVD prevalence in women (OR = 2.09, 95% CI: 1.02–4.28, P = 0.044). Furthermore, in Model III, total femur BMD (OR = 0.06, 95% CI: 0.01–0.53, P = 0.013) and intertrochanteric BMD (OR = 0.06, 95% CI: 0.01–0.39, P = 0.004) were negatively associated with CVD prevalence in women, with no evidence of non-linear associations (P-non-linear > 0.05). Subgroup analysis revealed a stronger association in non-estrogen-users, women with a high school education or lower, and physically inactive women. MLR and SIRI mediated 6.27% and 5.66% of the association between OP and CVD prevalence, respectively. OP and CVD prevalence are significantly positively correlated in the female population, which is partially mediated by the systemic inflammatory markers MLR and SIRI. These findings provide new insights for cardiovascular risk management in women with OP in clinical practice.

Indexed as

Cardiovascular DiseasesInflammationMonocytesOsteoporosisAdultAgedBiomarkersBone DensityFemaleHumansInflammation MediatorsMiddle AgedNutrition SurveysPrevalenceRisk FactorsBiomarkersInflammation MediatorsCardiovascular DiseaseInflammatory BiomarkersMediationNHANESOsteoporosis

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.