Bone Health in Patients with Dyslipidemias: An Underestimated Aspect

Anagnostis, Panagiotis; Florentin, Matilda; Livadas, Sarantis; Lambrinoudaki, Ιrene; Goulis, Dimitrios G.

doi:10.3390/ijms23031639

Cited by 57 publications

(37 citation statements)

References 140 publications

(146 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It has been observed that dyslipidemia elevates the concentrations of total and low-density lipoprotein (LDL) concentrations that are further associated with low bone mass and enhanced fracture risk. Dyslipidemia, enhances the activity of the osteoclasts by inducing oxidative stress and systemic inflammation, thereby reducing the formation of bone [ 79 ].…”

Section: Metabolism and Bone Related Diseasesmentioning

confidence: 99%

Osteometabolism: Metabolic Alterations in Bone Pathologies

Srivastava

Sapra

Mishra³

2022

Cells

View full text Add to dashboard Cite

Renewing interest in the study of intermediate metabolism and cellular bioenergetics is brought on by the global increase in the prevalence of metabolic illnesses. Understanding of the mechanisms that integrate energy metabolism in the entire organism has significantly improved with the application of contemporary biochemical tools for quantifying the fuel substrate metabolism with cutting-edge mouse genetic procedures. Several unexpected findings in genetically altered mice have prompted research into the direction of intermediate metabolism of skeletal cells. These findings point to the possibility of novel endocrine connections through which bone cells can convey their energy status to other metabolic control centers. Understanding the expanded function of skeleton system has in turn inspired new lines of research aimed at characterizing the energy needs and bioenergetic characteristics of these bone cells. Bone-forming osteoblast and bone-resorbing osteoclast cells require a constant and large supply of energy substrates such as glucose, fatty acids, glutamine, etc., for their differentiation and functional activity. According to latest research, important developmental signaling pathways in bone cells are connected to bioenergetic programs, which may accommodate variations in energy requirements during their life cycle. The present review article provides a unique perspective of the past and present research in the metabolic characteristics of bone cells along with mechanisms governing energy substrate utilization and bioenergetics. In addition, we discussed the therapeutic inventions which are currently being utilized for the treatment and management of bone-related diseases such as osteoporosis, rheumatoid arthritis (RA), osteogenesis imperfecta (OIM), etc., by modulating the energetics of bone cells. We further emphasized on the role of GUT-associated metabolites (GAMs) such as short-chain fatty acids (SCFAs), medium-chain fatty acids (MCFAs), indole derivates, bile acids, etc., in regulating the energetics of bone cells and their plausible role in maintaining bone health. Emphasis is importantly placed on highlighting knowledge gaps in this novel field of skeletal biology, i.e., “Osteometabolism” (proposed by our group) that need to be further explored to characterize the physiological importance of skeletal cell bioenergetics in the context of human health and bone related metabolic diseases.

show abstract

Section: Metabolism and Bone Related Diseasesmentioning

confidence: 99%

Osteometabolism: Metabolic Alterations in Bone Pathologies

Srivastava

Sapra

Mishra³

2022

Cells

View full text Add to dashboard Cite

show abstract

“…Recently, accumulated studies suggested that high cholesterol inhibits osteoblast differentiation and enhances osteoclastogenesis, thereby decreasing BMD, but the process various in different body sites [ 29 – 31 ]. Panagiotis Anagnostis et al considered that serum cholesterol directly affects bone dyslipidemia via inhibiting osteoblast differentiation, accumulating in the subendothelial area of bone arteries, and activating oxidative stress in bone marrow microcirculation [ 32 ]. Among our representative US participants, a higher total cholesterol was tied with a lower total BMD in participants aged 20–59 years.…”

Section: Discussionmentioning

confidence: 99%

Association between total cholesterol and total bone mineral density in US adults: National Health and Nutrition Examination Survey (NHANES), 2011–2018

Cao

Deng

et al. 2023

J Orthop Surg Res

View full text Add to dashboard Cite

Background Accumulated evidence indicates that cholesterol is offensive to bone metabolism. Therefore, we examined the real-world study among total cholesterol and total bone mineral density (BMD). We investigated the relationship between total cholesterol and total BMD among 10,039 US participants aged 20–59 years old over the period 2011–2018 from the NHANES. Methods To analyze the relationship among total cholesterol and total BMD, multivariate linear regression models were used. Fitted smoothing curves, generalized additive models, and threshold effect analysis were also conducted. Results After adjusting for additional covariates, weighted multivariable linear regression models indicated total cholesterol concentration levels exhibited a negative relationship with total BMD, particularly among participants aged 20–29 years. Concerning subgroup analysis, stratified by gender, race/ethnicity and age group, the negative correlation of total cholesterol with total BMD dwelled in both female and male as well as in whites and other races (including Hispanic and Multi-Racial), but not in non-Hispanic blacks and Mexican American. In other races, this relationship presented a nonlinear association (inflection point: 6.7 mmol/L) with a U-shaped curve. Among participants aged 40 to 49 years, this relationship also followed a nonlinear association (inflection point: 5.84 mmol/L), indicating a saturation effect. Moreover, the three types of diabetes status were found to have negative, U-shaped, and positive relationships. In participants with borderline diabetes status, the relationship of total cholesterol with total BMD was a U-shaped curve (inflection point: 4.65 mmol/L). Conclusions For US young adults (20–29 years old), our study revealed a negative relationship between total cholesterol and total BMD. This association followed a U-shaped curve (inflection point: 4.65 mmol/L) in borderline diabetes status participants, a saturation curve (inflection point: 5.84 mmol/L) in participants aged 40–49 years and a nonlinear curve (inflection point: 6.7 mmol/L) in other races (including Hispanic and Multi-Racial). Therefore, keeping total cholesterol concentration at a reasonable level for young adults and diabetic population might be an approach to prevent osteoporosis or osteopenia.

show abstract

“…Our results found that dyslipidemia was associated with an increased risk of osteoporosis. Dyslipidemia may cause increased oxidative stress and systemic inflammation, further leading to increased osteoclast activity and decreased bone formation [ 33 , 34 ]. Higher blood pressure was found to be associated with increased risk of osteoporosis.…”

Section: Discussionmentioning

confidence: 99%

Differences in the prevalence and risk factors of osteoporosis in chinese urban and rural regions: a cross-sectional study

Zheng

Wan

Liu

et al. 2023

BMC Musculoskelet Disord

View full text Add to dashboard Cite

Background Bone mineral density (BMD) and prevalence of osteoporosis may differ between urban and rural populations. This study aimed to investigate the differences in BMD characteristics between urban and rural populations in Jiangsu, China. Methods A total of 2,711 participants aged 20 years and older were included in the cross-sectional study. Multistage and stratified cluster random sampling was used as the sampling strategy. BMD was measured by the method of dual-energy x-ray absorptiometry (DXA). Data were collected through questionnaires/interview. BMD values at the lumbar spine (L1-L4), femoral neck, total hip, and greater trochanter were collected. Descriptive statistics were used to demonstrate the characteristics of urban and rural participants. Multivariate logistic regression analysis was utilized to analyze the factors that may be associated with osteoporosis in urban and rural populations. Results Of these participants, 1,540 (50.49%) were females and 1,363 (42.14%) were from urban. The prevalence of osteoporosis in urban and rural populations was 5.52% and 10.33%, respectively. In terms of gender, the prevalence of osteoporosis was 2.68% in males and 13.82% in females. For menopausal status, the prevalence of osteoporosis was 30.34% in postmenopausal females and 4.78% in premenopausal females. In urban populations, older age [adjusted odds ratio (AOR) = 2.36, 95%CI, 2.35–2.36), hypertension (AOR = 1.37, 95%CI, 1.36–1.37), unmarried (AOR = 4.04, 95%CI, 3.99–4.09), smoking everyday (AOR = 2.26, 95%CI, 2.23–2.28), family history of osteoporosis (AOR = 1.66, 95%CI, 1.65–1.67), dyslipidemia (AOR = 1.05, 95%CI, 1.04–1.05), and higher β-crosslaps (β-CTX) level (AOR = 1.02, 95%CI, 1.02–1.02) were associated with an increased risk of osteoporosis, while males (AOR = 0.04, 95%CI, 0.04–0.04), higher education level (AOR = 0.95, 95%CI, 0.95–0.95), and aquatic product intake (AOR = 0.99, 95%CI, 0.99–0.99) were related to decreased risk of osteoporosis. Similar results were also observed in rural populations, and (all P < 0.05). Conclusion The prevalence of osteoporosis in rural populations was higher than that in urban populations, and the factors associated with the risk of osteoporosis were similar in urban and rural populations.

show abstract

Bone Health in Patients with Dyslipidemias: An Underestimated Aspect

Cited by 57 publications

References 140 publications

Osteometabolism: Metabolic Alterations in Bone Pathologies

Osteometabolism: Metabolic Alterations in Bone Pathologies

Association between total cholesterol and total bone mineral density in US adults: National Health and Nutrition Examination Survey (NHANES), 2011–2018

Differences in the prevalence and risk factors of osteoporosis in chinese urban and rural regions: a cross-sectional study

Contact Info

Product

Resources

About