Protocol for a multicentre, prospective cohort study of clinical, proteomic and genomic patterns associated with osteoporosis to develop a multidimensional fracture assessment tool: the PoCOsteo Study

Association between liver fibrosis and osteoporosis in adults aged 50 and older: insights from the Bushehr Elderly Health Program

Objectives

Both liver fibrosis and osteoporosis share inflammatory pathways, with liver fibrosis potentially contributing to decreased bone mineral density (BMD). The rising prevalence of non-alcoholic fatty liver disease (NAFLD) and associated liver fibrosis, especially in older populations, may increase the risk of osteoporosis, but evidence remains inconclusive. This study aims to investigate the relationship between liver fibrosis and osteoporosis in individuals over 50 years old.

Methods

This cross-sectional study used data from the Bushehr Elderly Health Program (BEHP), a cohort of 2,000 participants aged 50 and older, selected through multistage stratified random sampling. BMD and trabecular bone score (TBS) measurements were assessed. The Fibrosis-4 (FIB-4) index, a surrogate marker for liver fibrosis, was also calculated to examine its association with these bone health indicators. Multiple linear regression was applied to assess the relationship between FIB-4 and lumbar, hip, femoral neck BMD, and TBS scores, while logistic regression was used to evaluate osteoporosis as the dependent variable.

Results

A total of 1,959 participants with adequate data were included in our analysis. 538 participants had osteoporosis, 936 participants had osteopenia, and 485 participants had normal bone density. FIB-4 index was higher in osteoporotic groups (1.45 ± 0.90) than in osteopenic (1.26 ± 0.58, p < 0.001) and normal groups (1.17 ± 0.48, p < 0.001). After controlling for confounders, FIB-4 index was negatively associated with hip BMD (βmen=-0.0162; 95% CI: -0.0313, -0.0012 and βwomen=-0.0221; 95% CI: -0.0340, -0.0102), femoral neck BMD (βmen=-0.0216; 95% CI: -0.0356, -0.0076 and βwomen=-0.0233; 95% CI: -0.0342, 0.0124), and TBS (βmen=-0.0154; 95% CI: -0.0264, -0.0043 and βwomen=-0.0244; 95% CI: -0.0338, -0.0149) in both genders and with lumbar BMD in women (β=-0.0176; 95% CI: -0.0307, -0.0045). An increase in the FIB-4 index was associated with more than a twofold rise in the risk of developing osteoporosis in women (OR = 2.123; 95% CI: 1.503, 3.000; p < 0.001) and a 36% higher risk in men (OR = 1.366; 95% CI: 1.012, 1.844; p = 0.042).

Conclusions

Liver fibrosis is associated with decreased bone density and attenuated bone architecture. Elevated FIB-4 index has been identified as a risk factor for osteoporosis, indicating a potential link between liver fibrosis and deteriorating bone health.

The impact of osteosarcopenia and its parameters on mortality of COVID-19 in-hospitalized older patients: the findings of BEH (Bushehr elderly health) program

Background

It has been documented that old age and chronic diseases are associated with poor prognosis and mortality among COVID-19 patients. Osteosarcopenia is a geriatric syndrome with a considerable prevalence which increases morbidity and mortality. This study investigated the relationship between COVID-19 mortality and osteosarcopenia and its parameters in-hospitalized patients in Bushehr, Iran.

Methods

In this retrospective cohort study, participants of the Bushehr Elderly Health (BEH) program who were hospitalized due to COVID-19 between 1st March 2020 and 23rd September 2021 were assessed. Osteosarcopenia was considered as the presence of both osteopenia/osteoporosis and sarcopenia. We used the Cox proportional hazards model to identify the association between oteosarcopenia and the risk of COVID-mortality in 2442 person-days.

Results

Among 4173 participants,297 patients were in-hospitalized due to COVID-19. We found that 80(26.94%) patients expired due to COVID-19 during the follow-up period. Osteosarcopenia and its parameters were more prevalent in patients who expired. The incidence rate of mortality among osteosarcopenic patients was 5.04(3.43- 7.40) per 100 person-days. In the Cox proportional hazards models, osteosarcopenia and its parameters increase the risk of COVID-mortality [Osteosarcopenia: HRadjusment:1.73(1.00-3.01), sarcopenia: HRadjusment:1.72(1.00-2.99), Osteoporosis: HRadjusment:2.67(1.53-4.67), Low muscle mass: HRadjusment:1.90(1.05-3.46), low muscle strength: HRadjusment:1.80(1.03-3.16), and low gait speed: HRadj:2.39(1.31-4.38). The ORs of ICU admission and use of invasive mechanical ventilation among osteosarcopenic patients and its parameters were higher than those without it.

Conclusions

This study identified the impact of osteosarcopenia and its parameters on the mortality of in-hospitalized patients with COVID-19. Assessment of musculoskeletal disorders could help in early warning of older patients with severe COVID-19.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40200-024-01443-1.

Association of serum 25-hydroxy vitamin D status with cardiometabolic risk factors and total and regional obesity in southern Iran: evidence from the PoCOsteo study

Cardiometabolic risk factors increase the chance of developing cardiovascular disease (CVD) and type 2 diabetes. Most CVD risk factors are influenced by total and regional obesity. A higher risk of developing CVD may be linked to vitamin D deficiency, which is more prevalent in the older population. With the goal of evaluating the association between vitamin D and cardiometabolic risk factors and total and regional obesity in older adults, this research included 25 (OH) vitamin D3 concentrations and biochemical markers associated with cardiometabolic diseases, as well as total and regional adiposity, which was measured by DXA. A total of 1991 older participants in the PoCOsteo study were included. Overall, 38.5% of participants had vitamin D deficiency. After adjusting for confounders, the results of multiple linear and logistic regression suggested an inverse association between vitamin D and body mass index (P = 0.04), waist circumference (P = 0.001), total fat (P = 0.02), android fat (P = 0.001), visceral fat (P < 0.001), subcutaneous fat (P = 0.01), trunk fat (P = 0.006), arm fat (P = 0.03), high systolic blood pressure (P = 0.004), high total cholesterol (P < 0.001), high LDL-cholesterol (P < 0.001), high serum triglycerides (P = 0.001), and high fasting glucose (P < 0.001). Additionally, higher vitamin D concentrations decreased the risk of dyslipidemia by 2%. Our results showed a significant association between serum vitamin D and a number of cardiometabolic risk factors, including total and regional obesity.

Proteomic Insights into Osteoporosis: Unraveling Diagnostic Markers of and Therapeutic Targets for the Metabolic Bone Disease

Osteoporosis (OP), a prevalent skeletal disorder characterized by compromised bone strength and increased susceptibility to fractures, poses a significant public health concern. This review aims to provide a comprehensive analysis of the current state of research in the field, focusing on the application of proteomic techniques to elucidate diagnostic markers and therapeutic targets for OP. The integration of cutting-edge proteomic technologies has enabled the identification and quantification of proteins associated with bone metabolism, leading to a deeper understanding of the molecular mechanisms underlying OP. In this review, we systematically examine recent advancements in proteomic studies related to OP, emphasizing the identification of potential biomarkers for OP diagnosis and the discovery of novel therapeutic targets. Additionally, we discuss the challenges and future directions in the field, highlighting the potential impact of proteomic research in transforming the landscape of OP diagnosis and treatment.

Amoli M, Fana SE, Dimai HP, Obermayer-Pietsch B, Luegger B, Rivadeneira F, Nabipour I, Larijani B, Khashayar P. Protocol for preliminary, multicenteric validation of "PoCOsteo device": A point of care tool for proteomic and genomic study of osteoporosis

One of the goals of the HORIZON 2020 project PoCOsteo was to develop a medical device, which would measure and/or quantify proteomic as well as genomic factors as present in whole blood samples collected through finger prick. After validating the tool in the clinical setting, the next step would be its clinical validation based on the existing guidelines. This article presents the protocol of a validation study to be carried out independently at two different centers (Division of Endocrinology and Diabetology at the Medical University of Graz as a clinic-based cohort, and the Endocrinology and Metabolism Research Institute at the Tehran University of Medical Sciences as a population-based cohort). It aims to assess the tool according to the Clinical & Laboratory Standards Institute guidelines, confirming if the proteomics and genomics measurements provided by the tool are accurate and reproducible compared with the existing state-of-the-art tests. This is the first time that such a detailed protocol for lab validation of a medical tool for proteomics and genomic measurement is designed based on the existing guidelines and thus could be used as a template for clinical validation of future point-of-care tools. Moreover, the multicentric cohort design will allow the study of a large number of diverse individuals, which will improve the validity and generalizability of the results for different settings.