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Vachey C, Dufour A, Tardif PA, Sidibé A, Moore L, Mac-Way F. Association Between Bone Ultrasonometry and Cardiovascular Morbimortality: A Systematic Review and Meta-analysis. J Endocr Soc 2025; 9:bvaf049. [PMID: 40160293 PMCID: PMC11949689 DOI: 10.1210/jendso/bvaf049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2024] [Indexed: 04/02/2025] Open
Abstract
Context Quantitative ultrasound (QUS) can estimate bone mineral density and predict fracture risk, but its association with cardiovascular outcomes remains unclear. Objective We aimed to assess the associations between bone QUS parameters and cardiovascular event risk, cardiovascular mortality (CVM) and all-cause mortality (ACM). Data Sources Pubmed, Embase, Cochrane Library databases, and grey literature were searched. Study Selection We considered studies including people aged >40 years who reported associations between bone QUS parameters (any bone site) and our outcomes. Data Extraction Two reviewers selected eligible studies, extracted and analyzed data, and assessed risk of bias with the Risk of Bias in Non-randomized Studies of Exposure tool. Adjusted hazard ratios (HR) with 95% confidence intervals (CIs), estimated for 1 SD reduction of QUS parameters, were pooled using random effects meta-analyses. Data Synthesis We included 9 studies with 275 to 477 683 (median = 3244) participants (follow-up duration range 2.8-12.8 years). All studies presented associations based on calcaneal QUS parameters; only 2 reported associations with cardiovascular events with discordant results. Seven studies reported associations with CVM and 7 with ACM. Meta-analyses based on 3 studies showed that broadband ultrasound attenuation (BUA) was inversely associated with CVM (HR = 1.22, 95% CI: 1.11-1.34, I 2 = 0%) and ACM (HR = 1.16, 95% CI: 1.10-1.23, I 2 = 0%). Meta-analyses, based on 4 and 3 studies, respectively, showed that speed of sound (SOS) was also inversely associated with CVM (HR = 1.19, 95% CI: 1.11-1.27, I 2 = 29%) and ACM (HR = 1.15, 95% CI: 1.07-1.23, I 2 = 0%). Conclusion In a cohort of middle-aged individuals, a decrease in calcaneal BUA and SOS were both independently associated with higher cardiovascular and ACM.
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Affiliation(s)
- Clément Vachey
- Department of Medicine, Centre de recherche du CHU de Québec-Université Laval (L’Hôtel-Dieu de Québec Hospital), Nephrology and Endocrinology Axis, Quebec City, QC, Canada G1R 2J6
- Faculty and Department of Medicine, Université Laval, Quebec City, QC, Canada G1V 0A6
| | - Aurélie Dufour
- Department of Medicine, Centre de recherche du CHU de Québec-Université Laval (L’Hôtel-Dieu de Québec Hospital), Nephrology and Endocrinology Axis, Quebec City, QC, Canada G1R 2J6
- Faculty and Department of Medicine, Université Laval, Quebec City, QC, Canada G1V 0A6
| | - Pier-Alexandre Tardif
- Population Health and Optimal Health Practices Research Unit, Trauma—Emergency—Critical Care Medicine, Centre de Recherche du CHU de Québec—Université Laval (l'Enfant-Jésus Hospital), Quebec City, QC, Canada G1J 1Z4
| | - Aboubacar Sidibé
- Quebec National Institute of Public Health, Quebec City, QC, Canada G1V 5B3
| | - Lynne Moore
- Population Health and Optimal Health Practices Research Unit, Trauma—Emergency—Critical Care Medicine, Centre de Recherche du CHU de Québec—Université Laval (l'Enfant-Jésus Hospital), Quebec City, QC, Canada G1J 1Z4
- Department of Social and Preventive Medicine, Université Laval, Quebec City, QC, Canada G1V 0A6
| | - Fabrice Mac-Way
- Department of Medicine, Centre de recherche du CHU de Québec-Université Laval (L’Hôtel-Dieu de Québec Hospital), Nephrology and Endocrinology Axis, Quebec City, QC, Canada G1R 2J6
- Faculty and Department of Medicine, Université Laval, Quebec City, QC, Canada G1V 0A6
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Pan XB, Ma QY, Gao T, Zhang T, Xun J, Ma XT, Liu YY. Osteoporosis risk and its association with all-cause and cause-specific mortality among the elderly: a 16-year nationwide cohort study. BMC Geriatr 2025; 25:199. [PMID: 40140739 PMCID: PMC11948726 DOI: 10.1186/s12877-025-05843-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2024] [Accepted: 03/06/2025] [Indexed: 03/28/2025] Open
Abstract
BACKGROUND Aged osteoporosis poses a significant threat to the well-being and longevity of older individuals, yet evidence regarding the relationship between osteoporosis risk and mortality among the elderly population in Asia remains unknown. AIMS Our study aimed to investigate associations between osteoporosis risk and all-cause mortality, as well as cause-specific mortality, among the Chinese elderly population. METHODS Pooled data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) conducted between 2002 and 2018 were utilized to analyze the associations between osteoporosis risk and all-cause, heart disease, cardiovascular disease (CVD), respiratory disease, and cancer mortality. Cox proportional hazards models were employed for this analysis. Osteoporosis risk was assessed using the Osteoporosis Self-Assessment Tool for Asians (OSTA). Restricted cubic spline (RCS) functions were applied to explore the nonlinear relationship between OSTA and mortality. The robustness of the Cox models was evaluated through internal verification, subgroup analyses, and sensitivity analyses. RESULTS A total of 12,711 elderly individuals aged ≥ 65 years were included for analysis at baseline. During a 16-year follow-up, 7,963 individuals in the cohort were identified as deceased. Compared to those with low osteoporosis risk, elderly individuals with high osteoporosis risk demonstrated a significantly elevated risk of all-cause, heart disease, CVD, respiratory disease and cancer mortality. The relationship between OSTA level and all-cause and cause-specific mortality exhibited a significant L-shaped pattern. CONCLUSIONS The risk of osteoporosis is independently associated with the prediction of mortality. The OSTA may serve as a suitable predictor for mortality related to osteoporosis among the Asian population.
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Affiliation(s)
- Xing-Bing Pan
- Department of Performance Appraisal Office, Children's Hospital of Hebei Province, Shijiazhuang, China
| | - Qing-Ya Ma
- Department of Obstetrics and Gynecology, The First Hospital of Hebei Medical University, Shijiazhuang, China
| | - Teng Gao
- Department of Stomatology, Children's Hospital of Hebei Province, Shijiazhuang, China
| | - Tai Zhang
- Department of Oral and Maxillofacial Surgery, Hospital of Stomatology Hebei Medical University, Shijiazhuang, China
| | - Jian Xun
- Department of Traditional Chinese Medicine, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Xiang-Tao Ma
- Department of Periodontology II, Hospital of Stomatology Hebei Medical University, Shijiazhuang, China
| | - Yan-Yu Liu
- Cancer Institute, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
- Cancer Institute, The Fourth Hospital of Hebei Medical University/The Tumour Hospital of Hebei Province, 12 Jiankang Road, Shijiazhuang, 050017, China.
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3
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Valero C, González Macías J. Atherosclerosis, vascular calcification and osteoporosis. Med Clin (Barc) 2025; 164:e13-e20. [PMID: 39547901 DOI: 10.1016/j.medcli.2024.07.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 06/03/2024] [Accepted: 07/11/2024] [Indexed: 11/17/2024]
Abstract
Numerous epidemiological studies link bone loss with vascular calcification and cardiovascular disease. Osteoporosis and atherosclerosis share risk factors and are likely to share pathogenic mechanisms as well. On the other hand, drugs used in the treatment of osteoporosis could influence cardiovascular risk, just as those used in cardiovascular disease could affect bone mineral density and the development of fractures.
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Affiliation(s)
- Carmen Valero
- Hospital Marqués de Valdecilla, Instituto de Investigación Valdecilla (IDIVAL), Santander, Cantabria, España; Universidad de Cantabria, Santander, Cantabria, España.
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Li H, Wang B, Xu D, Zhang J, Wang C. Bone Mineral Density is Negatively Associated with Risk of All-Cause and Cardiovascular Mortality among Adults with Type 2 Diabetes Mellitus: A Cross-sectional Study of the NHANES 2005-2010, 2013-2014. Rev Cardiovasc Med 2024; 25:434. [PMID: 39742238 PMCID: PMC11683720 DOI: 10.31083/j.rcm2512434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2024] [Revised: 07/22/2024] [Accepted: 07/29/2024] [Indexed: 01/03/2025] Open
Abstract
Background With ageing and lifestyle changes, the coexistence of osteoporosis and type 2 diabetes (T2DM) is becoming more common, which greatly increases patient disability and mortality. However, the association of low bone mineral density (BMD) with cardiovascular disease (CVD) and all-cause mortality in T2DM patients have not been conclusively established. Methods Using the National Health and Nutrition Examination Survey (NHANES) to obtain a nationally representative sample of the US population, we sought to determine the independent and incremental value of low BMD, particularly in patients with osteoporosis in assessing all-cause and CVD mortality in adults with T2DM. Results We demonstrated that increased BMD was significantly related to decreased mortality from all-causes and CVDs among US adults with T2DM. In addition, we found that, after multivariate adjustment, osteoporosis and osteopenia were independently associated with an increased risk of all-cause and CVD mortality in T2DM patients at long-term follow-up. Conclusions The clinical diagnosis of osteopenia or osteoporosis in adults with T2DM provides independent prognostic value for CVD and all-cause mortality.
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Affiliation(s)
- Haipeng Li
- Department of Cardiology, The First Affiliated Hospital of Anhui Medical University, 230022 Hefei, Anhui, China
| | - Baolong Wang
- Department of Cardiology, The First Affiliated Hospital of Anhui Medical University, 230022 Hefei, Anhui, China
| | - Dongshuo Xu
- Department of Cardiology, The First Affiliated Hospital of Anhui Medical University, 230022 Hefei, Anhui, China
| | - Jialu Zhang
- Department of Cardiology, The First Affiliated Hospital of Anhui Medical University, 230022 Hefei, Anhui, China
| | - Changhui Wang
- Department of Cardiology, The First Affiliated Hospital of Anhui Medical University, 230022 Hefei, Anhui, China
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Guo T, Feng H, Xiong L, Mo J, Zhang X, Xie J, Hu H. Relationship between Geriatric Nutritional Risk Index with all-cause and CVD mortality in osteopenia and osteoporosis. Front Public Health 2024; 12:1420832. [PMID: 39664554 PMCID: PMC11631725 DOI: 10.3389/fpubh.2024.1420832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2024] [Accepted: 10/30/2024] [Indexed: 12/13/2024] Open
Abstract
Purpose This study investigated the relationship between Geriatric Nutritional Risk Index (GNRI), and all-cause, cardiovascular (CVD) mortality, in individuals with osteopenia and osteoporosis. Methods Using NHANES data from 2005 to 2019, 6,824 participants diagnosed with osteopenia and osteoporosis were analyzed. Participants were categorized based on GNRI tertiles, and statistical methods like the fitted curves, Kaplan-Meier curves, cox regression, and subgroup analyses were employed. Results Lower GNRI tertiles correlated with older age, male gender, and more comorbidities. Mortality rates differed significantly across GNRI tertiles over an average 7.9-year follow-up, with a notable inverse J-shaped association between GNRI and mortality. Adjusted HRs indicated a 1.6-2-fold increase in all-cause mortality for the lowest GNRI tertile, persisting across comprehensive adjustments. CVD mortality followed a similar trend. Conclusions This study illuminates a robust correlation between GNRI levels and mortality risks in osteopenia and osteoporosis. Its consistent dose-response relationship across all-cause, and CVD mortality underscores its pivotal role as a prognostic factor.
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Affiliation(s)
- Tianting Guo
- Guangdong Provincial People's Hospital Ganzhou Hospital (Ganzhou Municipal Hospital), Ganzhou, Jiangxi, China
| | - Haorong Feng
- Department of Anesthesiology, South Taihu Hospital Affiliated to Huzhou College (Huzhou South Taihu Hospital), Huzhou, Zhejiang, China
| | - Lijiao Xiong
- The Second Clinical Medical College, Jinan University (Shenzhen People's Hospital), Shenzhen, China
| | - Jianwen Mo
- The First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China
| | - Xiaoan Zhang
- Guangdong Provincial People's Hospital Ganzhou Hospital (Ganzhou Municipal Hospital), Ganzhou, Jiangxi, China
| | - Junbin Xie
- Guangdong Provincial People's Hospital Ganzhou Hospital (Ganzhou Municipal Hospital), Ganzhou, Jiangxi, China
| | - Hongkai Hu
- Guangdong Provincial People's Hospital Ganzhou Hospital (Ganzhou Municipal Hospital), Ganzhou, Jiangxi, China
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Wearing SC, Hooper SL, Langton CM, Keiner M, Horstmann T, Crevier-Denoix N, Pourcelot P. The Biomechanics of Musculoskeletal Tissues during Activities of Daily Living: Dynamic Assessment Using Quantitative Transmission-Mode Ultrasound Techniques. Healthcare (Basel) 2024; 12:1254. [PMID: 38998789 PMCID: PMC11241410 DOI: 10.3390/healthcare12131254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Revised: 06/18/2024] [Accepted: 06/19/2024] [Indexed: 07/14/2024] Open
Abstract
The measurement of musculoskeletal tissue properties and loading patterns during physical activity is important for understanding the adaptation mechanisms of tissues such as bone, tendon, and muscle tissues, particularly with injury and repair. Although the properties and loading of these connective tissues have been quantified using direct measurement techniques, these methods are highly invasive and often prevent or interfere with normal activity patterns. Indirect biomechanical methods, such as estimates based on electromyography, ultrasound, and inverse dynamics, are used more widely but are known to yield different parameter values than direct measurements. Through a series of literature searches of electronic databases, including Pubmed, Embase, Web of Science, and IEEE Explore, this paper reviews current methods used for the in vivo measurement of human musculoskeletal tissue and describes the operating principals, application, and emerging research findings gained from the use of quantitative transmission-mode ultrasound measurement techniques to non-invasively characterize human bone, tendon, and muscle properties at rest and during activities of daily living. In contrast to standard ultrasound imaging approaches, these techniques assess the interaction between ultrasound compression waves and connective tissues to provide quantifiable parameters associated with the structure, instantaneous elastic modulus, and density of tissues. By taking advantage of the physical relationship between the axial velocity of ultrasound compression waves and the instantaneous modulus of the propagation material, these techniques can also be used to estimate the in vivo loading environment of relatively superficial soft connective tissues during sports and activities of daily living. This paper highlights key findings from clinical studies in which quantitative transmission-mode ultrasound has been used to measure the properties and loading of bone, tendon, and muscle tissue during common physical activities in healthy and pathological populations.
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Affiliation(s)
- Scott C. Wearing
- School of Medicine and Health, Technical University of Munich, 80992 Munich, Bavaria, Germany
| | - Sue L. Hooper
- School of Health, University of the Sunshine Coast, Sippy Downs, QLD 4556, Australia
| | - Christian M. Langton
- Griffith Centre of Rehabilitation Engineering, Griffith University, Southport, QLD 4222, Australia
| | - Michael Keiner
- Department of Exercise and Training Science, German University of Health and Sport, 85737 Ismaning, Bavaria, Germany
| | - Thomas Horstmann
- School of Medicine and Health, Technical University of Munich, 80992 Munich, Bavaria, Germany
| | | | - Philippe Pourcelot
- INRAE, BPLC Unit, Ecole Nationale Vétérinaire d’Alfort, 94700 Maisons-Alfort, France
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Condurache DG, D’Angelo S, Salih AM, Szabo L, McCracken C, Mahmood A, Curtis EM, Altmann A, Petersen SE, Harvey NC, Raisi-Estabragh Z. Bone health, cardiovascular disease, and imaging outcomes in UK Biobank: a causal analysis. JBMR Plus 2024; 8:ziae058. [PMID: 38784722 PMCID: PMC11114472 DOI: 10.1093/jbmrpl/ziae058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Accepted: 04/22/2024] [Indexed: 05/25/2024] Open
Abstract
This study examined the association of estimated heel bone mineral density (eBMD, derived from quantitative ultrasound) with: (1) prevalent and incident cardiovascular diseases (CVDs: ischemic heart disease (IHD), myocardial infarction (MI), heart failure (HF), non-ischemic cardiomyopathy (NICM), arrhythmia), (2) mortality (all-cause, CVD, IHD), and (3) cardiovascular magnetic resonance (CMR) measures of left ventricular and atrial structure and function and aortic distensibility, in the UK Biobank. Clinical outcomes were ascertained using health record linkage over 12.3 yr of prospective follow-up. Two-sample Mendelian randomization (MR) was conducted to assess causal associations between BMD and CMR metrics using genetic instrumental variables identified from published genome-wide association studies. The analysis included 485 257 participants (55% women, mean age 56.5 ± 8.1 yr). Higher heel eBMD was associated with lower odds of all prevalent CVDs considered. The greatest magnitude of effect was seen in association with HF and NICM, where 1-SD increase in eBMD was associated with 15% lower odds of HF and 16% lower odds of NICM. Association between eBMD and incident IHD and MI was non-significant; the strongest relationship was with incident HF (SHR: 0.90 [95% CI, 0.89-0.92]). Higher eBMD was associated with a decreased risk in all-cause, CVD, and IHD mortality, in the fully adjusted model. Higher eBMD was associated with greater aortic distensibility; associations with other CMR metrics were null. Higher heel eBMD is linked to reduced risk of a range of prevalent and incident CVD and mortality outcomes. Although observational analyses suggest associations between higher eBMD and greater aortic compliance, MR analysis did not support a causal relationship between genetically predicted BMD and CMR phenotypes. These findings support the notion that bone-cardiovascular associations reflect shared risk factors/mechanisms rather than direct causal pathways.
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Affiliation(s)
- Dorina-Gabriela Condurache
- NIHR Barts Biomedical Research Centre, William Harvey Research Institute, Centre for Advanced Cardiovascular Imaging, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, England, United Kingdom
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health National Health Service (NHS) Trust, West Smithfield, London EC1A 7BE, England, United Kingdom
| | - Stefania D’Angelo
- MRC Lifecourse Epidemiology Centre, University of Southampton, Tremona Road, Southampton SO16 6YD, England,United Kingdom
| | - Ahmed M Salih
- NIHR Barts Biomedical Research Centre, William Harvey Research Institute, Centre for Advanced Cardiovascular Imaging, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, England, United Kingdom
- Department of Population Health Sciences, University of Leicester, Leicester LE1 7RH, England, United Kingdom
- Department of Computer Science, Faculty of Science, University of Zakho, Zakho 42002, Kurdistan Region, Iraq
| | - Liliana Szabo
- NIHR Barts Biomedical Research Centre, William Harvey Research Institute, Centre for Advanced Cardiovascular Imaging, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, England, United Kingdom
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health National Health Service (NHS) Trust, West Smithfield, London EC1A 7BE, England, United Kingdom
- Semmelweis University, Heart and Vascular Centre, Budapest, Hungary
| | - Celeste McCracken
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, National Institute for Health Research Oxford Biomedical Research Centre, University of Oxford, Oxford University Hospitals NHS Foundation Trust, Oxford OX3 9DU, England, United Kingdom
| | - Adil Mahmood
- NIHR Barts Biomedical Research Centre, William Harvey Research Institute, Centre for Advanced Cardiovascular Imaging, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, England, United Kingdom
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health National Health Service (NHS) Trust, West Smithfield, London EC1A 7BE, England, United Kingdom
| | - Elizabeth M Curtis
- MRC Lifecourse Epidemiology Centre, University of Southampton, Tremona Road, Southampton SO16 6YD, England,United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, England, United Kingdom
| | - Andre Altmann
- Department of Medical Physics and Biomedical Engineering, Centre for Medical Image Computing (CMIC), University College London, London WC1E 6BT, England, United Kingdom
| | - Steffen E Petersen
- NIHR Barts Biomedical Research Centre, William Harvey Research Institute, Centre for Advanced Cardiovascular Imaging, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, England, United Kingdom
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health National Health Service (NHS) Trust, West Smithfield, London EC1A 7BE, England, United Kingdom
- Health Data Research UK, British Heart Foundation Data Science Centre, London NW1 2BE, England, United Kingdom
| | - Nicholas C Harvey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Tremona Road, Southampton SO16 6YD, England,United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, England, United Kingdom
| | - Zahra Raisi-Estabragh
- NIHR Barts Biomedical Research Centre, William Harvey Research Institute, Centre for Advanced Cardiovascular Imaging, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, England, United Kingdom
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health National Health Service (NHS) Trust, West Smithfield, London EC1A 7BE, England, United Kingdom
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Liang W, Wei T, Hu L, Chen M, Tong L, Zhou W, Duan X, Zhao X, Zhou W, Jiang Q, Xiao G, Zou W, Chen D, Zou Z, Bai X. An integrated multi-omics analysis reveals osteokines involved in global regulation. Cell Metab 2024; 36:1144-1163.e7. [PMID: 38574738 DOI: 10.1016/j.cmet.2024.03.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 01/22/2024] [Accepted: 03/10/2024] [Indexed: 04/06/2024]
Abstract
Bone secretory proteins, termed osteokines, regulate bone metabolism and whole-body homeostasis. However, fundamental questions as to what the bona fide osteokines and their cellular sources are and how they are regulated remain unclear. In this study, we analyzed bone and extraskeletal tissues, osteoblast (OB) conditioned media, bone marrow supernatant (BMS), and serum, for basal osteokines and those responsive to aging and mechanical loading/unloading. We identified 375 candidate osteokines and their changes in response to aging and mechanical dynamics by integrating data from RNA-seq, scRNA-seq, and proteomic approaches. Furthermore, we analyzed their cellular sources in the bone and inter-organ communication facilitated by them (bone-brain, liver, and aorta). Notably, we discovered that senescent OBs secrete fatty-acid-binding protein 3 to propagate senescence toward vascular smooth muscle cells (VSMCs). Taken together, we identified previously unknown candidate osteokines and established a dynamic regulatory network among them, thus providing valuable resources to further investigate their systemic roles.
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Affiliation(s)
- Wenquan Liang
- State Key Laboratory of Organ Failure Research, Department of Cell Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Tiantian Wei
- State Key Laboratory of Organ Failure Research, Department of Cell Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Le Hu
- State Key Laboratory of Organ Failure Research, Department of Cell Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Meijun Chen
- State Key Laboratory of Organ Failure Research, Department of Cell Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Liping Tong
- Research Center for Computer-Aided Drug Discovery, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Wu Zhou
- State Key Laboratory of Organ Failure Research, Department of Cell Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Xingwei Duan
- State Key Laboratory of Organ Failure Research, Department of Cell Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Xiaoyang Zhao
- Department of Developmental Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Weijie Zhou
- Department of Pathology, Nanfang Hospital, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Qing Jiang
- State Key Laboratory of Pharmaceutical Biotechnology, Division of Sports Medicine and Adult Reconstructive Surgery, Department of Orthopedic Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Guozhi Xiao
- Department of Biochemistry, School of Medicine, Shenzhen Key Laboratory of Cell Microenvironment, Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Southern University of Science and Technology, Shenzhen 518055, China
| | - Weiguo Zou
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, CAS Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai 200031, China
| | - Di Chen
- Research Center for Computer-Aided Drug Discovery, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; Faculty of Pharmaceutical Sciences, Shenzhen Institute of Advanced Technology, Shenzhen, China.
| | - Zhipeng Zou
- State Key Laboratory of Organ Failure Research, Department of Cell Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China.
| | - Xiaochun Bai
- State Key Laboratory of Organ Failure Research, Department of Cell Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China; Academy of Orthopedics, Guangdong Provincial Key Laboratory of Bone and Joint Degeneration Diseases, The Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong Province 510630, China.
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9
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Via JD, Gebre AK, Smith C, Gilani Z, Suter D, Sharif N, Szulc P, Schousboe JT, Kiel DP, Zhu K, Leslie WD, Prince RL, Lewis JR, Sim M. Machine-Learning Assessed Abdominal Aortic Calcification is Associated with Long-Term Fall and Fracture Risk in Community-Dwelling Older Australian Women. J Bone Miner Res 2023; 38:1867-1876. [PMID: 37823606 PMCID: PMC10842308 DOI: 10.1002/jbmr.4921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 09/14/2023] [Accepted: 10/10/2023] [Indexed: 10/13/2023]
Abstract
Abdominal aortic calcification (AAC), a recognized measure of advanced vascular disease, is associated with higher cardiovascular risk and poorer long-term prognosis. AAC can be assessed on dual-energy X-ray absorptiometry (DXA)-derived lateral spine images used for vertebral fracture assessment at the time of bone density screening using a validated 24-point scoring method (AAC-24). Previous studies have identified robust associations between AAC-24 score, incident falls, and fractures. However, a major limitation of manual AAC assessment is that it requires a trained expert. Hence, we have developed an automated machine-learning algorithm for assessing AAC-24 scores (ML-AAC24). In this prospective study, we evaluated the association between ML-AAC24 and long-term incident falls and fractures in 1023 community-dwelling older women (mean age, 75 ± 3 years) from the Perth Longitudinal Study of Ageing Women. Over 10 years of follow-up, 253 (24.7%) women experienced a clinical fracture identified via self-report every 4-6 months and verified by X-ray, and 169 (16.5%) women had a fracture hospitalization identified from linked hospital discharge data. Over 14.5 years, 393 (38.4%) women experienced an injurious fall requiring hospitalization identified from linked hospital discharge data. After adjusting for baseline fracture risk, women with moderate to extensive AAC (ML-AAC24 ≥ 2) had a greater risk of clinical fractures (hazard ratio [HR] 1.42; 95% confidence interval [CI], 1.10-1.85) and fall-related hospitalization (HR 1.35; 95% CI, 1.09-1.66), compared to those with low AAC (ML-AAC24 ≤ 1). Similar to manually assessed AAC-24, ML-AAC24 was not associated with fracture hospitalizations. The relative hazard estimates obtained using machine learning were similar to those using manually assessed AAC-24 scores. In conclusion, this novel automated method for assessing AAC, that can be easily and seamlessly captured at the time of bone density testing, has robust associations with long-term incident clinical fractures and injurious falls. However, the performance of the ML-AAC24 algorithm needs to be verified in independent cohorts. © 2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).
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Affiliation(s)
- Jack Dalla Via
- Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia
| | - Abadi K Gebre
- Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia
- School of Pharmacy, College of Health Sciences, Mekelle University, Mekelle, Tigray
| | - Cassandra Smith
- Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia
- Medical School, The University of Western Australia, Perth, Western Australia, Australia
| | - Zulqarnain Gilani
- Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia
- Centre for Artificial Intelligence and Machine Learning, School of Science, Edith Cowan University, Perth, Western Australia, Australia
| | - David Suter
- Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia
- Centre for Artificial Intelligence and Machine Learning, School of Science, Edith Cowan University, Perth, Western Australia, Australia
| | - Naeha Sharif
- Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia
- Centre for Artificial Intelligence and Machine Learning, School of Science, Edith Cowan University, Perth, Western Australia, Australia
- Department of Computer Science and Software Engineering, the University of Western Australia, Perth, Western Australia, Australia
| | - Pawel Szulc
- INSERM UMR 1033, University of Lyon, Hospices Civils de Lyon, Lyon, France
| | - John T Schousboe
- Park Nicollet Clinic and HealthPartners Institute, HealthPartners, Minneapolis, USA and Division of Health Policy and Management, University of Minnesota, Minneapolis, USA
| | - Douglas P Kiel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew Senior Life, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Kun Zhu
- Medical School, The University of Western Australia, Perth, Western Australia, Australia
- Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia
| | - William D. Leslie
- Departments of Medicine and Radiology, University of Manitoba, Winnipeg, Canada
| | - Richard L Prince
- Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia
- Medical School, The University of Western Australia, Perth, Western Australia, Australia
| | - Joshua R Lewis
- Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia
- Medical School, The University of Western Australia, Perth, Western Australia, Australia
- Centre for Kidney Research, Children’s Hospital at Westmead School of Public Health, Sydney Medical School, The University of Sydney, Sydney, New South Wales, Australia
| | - Marc Sim
- Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia
- Medical School, The University of Western Australia, Perth, Western Australia, Australia
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10
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Verde L, Pagano AM, de Leo M, Vetrani C, Ambretti A, Lucania L, Babudieri S, De Chiara A, Colao A, Corsi M, Muscogiuri G, Barrea L. Diet-Related Risk Factors for Chronic Noncommunicable Diseases in Italian Prisoners: B.A.C.I. (Benessere All'interno delle Carceri Italiane, Well-Being Inside the Italian Prisons) Project by the Italian Society of Penitentiary Medicine and Public Health (S.I.M.S.Pe. Società Italiana di Medicina e Sanità Penitenziaria). Curr Nutr Rep 2023; 12:709-720. [PMID: 37948008 PMCID: PMC10766735 DOI: 10.1007/s13668-023-00502-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/10/2023] [Indexed: 11/12/2023]
Abstract
PURPOSE OF REVIEW The review aims to present an overview of inmate health, focusing on lifestyle-related diseases, physical activity levels, and nutritional status. It also presents the B.A.C.I. (Benessere All'interno delle Carceri Italiane, well-being inside the Italian prisons) project, which aims to offers an innovative path of prevention, diagnosis, and treatment of noncommunicable diseases (NCDs) related to unhealthy lifestyles in prisons in the Campania region, Italy. RECENT FINDINGS The global prison population has risen by 24% since the year 2000, with over 10.77 million people detained worldwide in 2021. In Italy alone, there are currently over 57,000 inmates. Inmates face a higher risk of NCDs such as cardiovascular disease due to unhealthy lifestyles characterized by poor diets and lack of physical activity. Additionally, sleep disorders, particularly insomnia, are prevalent among inmates, further contributing to health disparities. While physical activity has shown positive effects on inmate well-being, there is limited research on nutritional status and interventions in prison populations. Providing quality healthcare to inmates is an international policy norm, but the standards vary globally and are often inadequate. The economic burden of NCDs is rising, and this is exacerbated in prisons, making it challenging for individuals to reintegrate into society after release.
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Affiliation(s)
- Ludovica Verde
- Department of Public Health, University of Naples Federico II, Via Sergio Pansini 5, 80131, Naples, Italy
| | - Antonio Maria Pagano
- President S.I.M.S.Pe. Società Italiana Di Medicina E Sanità Penitenziaria (Italian Society of Penitentiary Medicine and Healthcare), Viale Bruno Buozzi 109, 00197, Rome, Italy
- Dipartimento Delle Attività Territoriali, ASL Salerno, U.O. Tutela Salute Adulti E Minori, Area Penale, 84124, Salerno, Italy
| | - Monica de Leo
- Dipartimento Delle Attività Territoriali, ASL Salerno, U.O. Tutela Salute Adulti E Minori, Area Penale, 84124, Salerno, Italy
| | - Claudia Vetrani
- Dipartimento Di Scienze Umanistiche, Università Telematica Pegaso, Centro Direzionale Isola F2, Via Porzio, 80143, Naples, Italy
| | - Antinea Ambretti
- Dipartimento Di Scienze Umanistiche, Università Telematica Pegaso, Centro Direzionale Isola F2, Via Porzio, 80143, Naples, Italy
| | - Luciano Lucania
- Specialista Ambulatoriale in Chirurgia, Responsabile, Giuseppe Panzera, Street Carcere Nuovo, 15 Istituto Penitenziario Di Reggio Calabria, 89100, Reggio Calabria, Italy
- Director S.I.M.S.Pe. Società Italiana di Medicina e Sanità Penitenziaria (Italian Society of Penitentiary Medicine and Healthcare). Viale Bruno Buozzi 109, 00197, Rome, Italy
| | - Sergio Babudieri
- Unit of Infectious and Tropical Diseases, Department of Medicine, Surgery and Pharmacy, University of Sassari, 07100, Sassari, Italy
- Scientific Director S.I.M.S.Pe. Società Italiana di Medicina e Sanità Penitenziaria (Italian Society of Penitentiary Medicine and Healthcare). Viale Bruno Buozzi 109, 00197, Rome, Italy
| | - Anna De Chiara
- Dipartimento Delle Attività Territoriali, ASL Salerno, U.O. Tutela Salute Adulti E Minori, Area Penale, 84124, Salerno, Italy
| | - Annamaria Colao
- Unità di Endocrinologia, Diabetologia e Andrologia, Dipartimento di Medicina Clinica e Chirurgia, Università degli Studi di Napoli Federico II, Via Sergio Pansini 5, 80131, Naples, Italy
- Cattedra Unesco "Educazione Alla Salute E Allo Sviluppo Sostenibile", University Federico II, 80131, Naples, Italy
| | - Michele Corsi
- Dipartimento Di Scienze Umanistiche, Università Telematica Pegaso, Centro Direzionale Isola F2, Via Porzio, 80143, Naples, Italy
| | - Giovanna Muscogiuri
- Unità di Endocrinologia, Diabetologia e Andrologia, Dipartimento di Medicina Clinica e Chirurgia, Università degli Studi di Napoli Federico II, Via Sergio Pansini 5, 80131, Naples, Italy.
- Cattedra Unesco "Educazione Alla Salute E Allo Sviluppo Sostenibile", University Federico II, 80131, Naples, Italy.
| | - Luigi Barrea
- Dipartimento Di Scienze Umanistiche, Università Telematica Pegaso, Centro Direzionale Isola F2, Via Porzio, 80143, Naples, Italy
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Wu S, Ye Z, Yan Y, Zhan X, Ren L, Zhou C, Chen T, Yao Y, Zhu J, Wu S, Ma F, Liu L, Fan B, Liu C. The causal relationship between autoimmune diseases and osteoporosis: a study based on Mendelian randomization. Front Endocrinol (Lausanne) 2023; 14:1196269. [PMID: 37693362 PMCID: PMC10484226 DOI: 10.3389/fendo.2023.1196269] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 07/17/2023] [Indexed: 09/12/2023] Open
Abstract
Objective The relationship between different autoimmune diseases and bone mineral density (BMD) and fractures has been reported in epidemiological studies. This study aimed to explore the causal relationship between autoimmune diseases and BMD, falls, and fractures using Mendelian randomization (MR). Methods The instrumental variables were selected from the aggregated statistical data of these diseases from the largest genome-wide association study in Europe. Specifically, 12 common autoimmune diseases were selected as exposure. Outcome variables included BMD, falls, and fractures. Multiple analysis methods were utilized to comprehensively evaluate the causal relationship between autoimmune diseases and BMD, falls, and fractures. Additionally, sensitivity analyses, including Cochran's Q test, MR-Egger intercept test, and one analysis, were conducted to verify the result's reliability. Results Strong evidence was provided in the results of the negatively association of ulcerative colitis (UC) with forearm BMD. UC also had a negatively association with the total body BMD, while inflammatory bowel disease (IBD) depicted a negatively association with the total body BMD at the age of 45-60 years. Horizontal pleiotropy or heterogeneity was not detected through sensitivity analysis, indicating that the causal estimation was reliable. Conclusion This study shows a negative causal relationship between UC and forearm and total body BMD, and between IBD and total body BMD at the age of 45-60 years. These results should be considered in future research and when public health measures and osteoporosis prevention strategies are formulated.
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Affiliation(s)
- Shaofeng Wu
- Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Zhen Ye
- Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Yi Yan
- Department of Operating Room, Taixing People’s Hospital, Taixing, China
| | - Xinli Zhan
- Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Liang Ren
- Reproductive Medicine Center, The First Afliated Hospital of Guangxi Medical University, Nanning, China
| | - Chenxing Zhou
- Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Tianyou Chen
- Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Yuanlin Yao
- Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Jichong Zhu
- Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Siling Wu
- Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Fengzhi Ma
- Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Lu Liu
- Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Binguang Fan
- Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Chong Liu
- Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
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