Immunology of osteoporosis: relevance of inflammatory targets for the development of novel interventions

Oleandrin inhibits osteoclast differentiation by targeting the LRP4/MAPK/NF-κB signalling pathway to treat osteoporosis

Osteoporosis is a common inflammation-related disease in which the release of proinflammatory cytokines promotes bone loss. Oleandrin is a monomer compound extracted from the leaves of the Nerium oleander plant, has been shown to exert an anti-inflammatory effect on a variety of inflammation-related diseases. However, its role in osteoporosis and the underlying mechanisms remain unclear. In this study, Oleandrin was shown to reduce bone loss in ovariectomy-induced osteoporotic mice in vivo. Additionally, Oleandrin inhibited RANKL-induced osteoclast differentiation in a concentration-dependent manner in vitro. Signalling pathway studies showed that Oleandrin could inhibit osteoclast differentiation by targeting MAPK and NF-κB signalling pathways. Further mechanistic studies showed that Oleandrin binds to low-density lipoprotein receptor-related protein 4 in osteoclast, thereby exerting inhibitory effects on osteoclast differentiation. In conclusion, this study lays the foundation for further research on the anti-inflammatory and anti-osteoporotic effects of Oleandrin on osteoporosis and its underlying mechanism and provides new possibilities for the treatment of osteoporosis.

Unravelling the role of dipeptidyl peptidases-8/9 (DPP-8/9) in inflammatory osteoporosis: a comprehensive study investigating chrysin as a potential anti-osteoporotic agent

OBJECTIVES

This study aimed to investigate the role of dipeptidyl peptidase-8 and 9 (DPP-8/9) enzymes in inflammatory bone loss using a 4-vinylcyclohexene diepoxide (VCD)-induced model in Wistar rats. Additionally, we evaluated the therapeutic potential of inhibiting these enzymes with the flavonoid chrysin.

METHODS

Inflammatory osteoporosis was induced by administering VCD that elevated interleukin-6 (IL-6) and tumour necrosis factor-alpha (TNF-α) levels. DPP-8/9 enzyme expression and various bone markers were assayed using serum. Further analysis included bone microarchitecture, histology, and immunohistochemistry. Additionally, chrysin's potential to inhibit DPP-8/9 and mitigate VCD-induced inflammatory bone loss was also evaluated.

KEY FINDINGS

VCD administration in rats caused ovotoxicity that increased IL-6 and TNF-α levels, resulting in significant bone loss. Serum analysis revealed elevated bone resorption markers and DPP-8/9 enzyme levels. Inhibiting DPP-8/9 with 1G244 reversed these effects, confirmed by histology, immunohistochemistry, and micro-CT scans. Moreover, chrysin significantly reduced DPP-8/9 levels compared with the untreated group, improved bone markers, and lower inflammatory cytokines, indicating reduced osteoclastogenesis.

CONCLUSION

This study highlights the role of DPP-8/9 in inflammation-induced osteoporosis. Following inhibition of DPP-8/9, we observed improved bone markers with preservation of trabecular bone mineral density in rats. Additionally, chrysin demonstrated potential as an anti-DPP-8/9 agent, suggesting its viability for future therapeutic interventions in DPP-8/9-related inflammatory diseases.

The Brain-Gut-Bone Axis in Neurodegenerative Diseases: Insights, Challenges, and Future Prospects

Neurodegenerative diseases are global health challenges characterized by the progressive degeneration of nerve cells, leading to cognitive and motor impairments. The brain-gut-bone axis, a complex network that modulates multiple physiological systems, has gained increasing attention owing to its profound effects on the occurrence and development of neurodegenerative diseases. No comprehensive review has been conducted to clarify the triangular relationship involving the brain-gut-bone axis and its potential for innovative therapies for neurodegenerative disorders. In light of this, a new perspective is aimed to propose on the interplay between the brain, gut, and bone systems, highlighting the potential of their dynamic communication in neurodegenerative diseases, as they modulate multiple physiological systems, including the nervous, immune, endocrine, and metabolic systems. Therapeutic strategies for maintaining the balance of the axis, including brain health regulation, intestinal microbiota regulation, and improving skeletal health, are also explored. The intricate physiological interactions within the brain-gut-bone axis pose a challenge in the development of effective treatments that can comprehensively target this system. Furthermore, the safety of these treatments requires further evaluation. This review offers a novel insights and strategies for the prevention and treatment of neurodegenerative diseases, which have important implications for clinical practice and patient well-being.

Exercise and osteoimmunology in bone remodeling

Bones can form the scaffolding of the body, support the organism, coordinate somatic movements, and control mineral homeostasis and hematopoiesis. The immune system plays immune supervisory, defensive, and regulatory roles in the organism, which mainly consists of immune organs (spleen, bone marrow, tonsils, lymph nodes, etc.), immune cells (granulocytes, platelets, lymphocytes, etc.), and immune molecules (immune factors, interferons, interleukins, tumor necrosis factors, etc.). Bone and the immune system have long been considered two distinct fields of study, and the bone marrow, as a shared microenvironment between the bone and the immune system, closely links the two. Osteoimmunology organically combines bone and the immune system, elucidates the role of the immune system in bone, and creatively emphasizes its interdisciplinary characteristics and the function of immune cells and factors in maintaining bone homeostasis, providing new perspectives for skeletal-related field research. In recent years, bone immunology has gradually become a hot spot in the study of bone-related diseases. As a new branch of immunology, bone immunology emphasizes that the immune system can directly or indirectly affect bones through the RANKL/RANK/OPG signaling pathway, IL family, TNF-α, TGF-β, and IFN-γ. These effects are of great significance for understanding inflammatory bone loss caused by various autoimmune or infectious diseases. In addition, as an external environment that plays an important role in immunity and bone, this study pays attention to the role of exercise-mediated bone immunity in bone reconstruction.

Association of statin use with osteoporosis risk: a drug-targeted Mendelian randomization study

BACKGROUND

Hypercholesterolemia and the related inflammatory response promote the development of osteoporosis, but whether targeted interventions are protective against this bone metabolic disease remains unknown. The aim of this study was to investigate the association between the use of statins (one well-recognized cholesterol-lowering drug with anti-inflammatory properties) and the risk of osteoporosis using a drug-targeted Mendelian randomization (MR) approach.

METHODS

Instrumental variables predicting three cholesterol-lowering target genes (including HGMCR) and the cholesterol effectors mediated by these genes (i.e., total cholesterol, LDL cholesterol, and non-HDL cholesterol) were extracted from expression quantitative trait loci and genome-wide association studies. Inverse variance-weighted (IVW), summary data-based MR (SMR), multivariate MR, and colocalization analysis were used to determine the association of the interventions represented by these instrumental variables with heel bone mineral density (one diagnostic indicator of osteoporosis).

RESULTS

The IVW reported that increased levels of HGMCR-mediated total cholesterol, LDL cholesterol, and non-HDL cholesterol were associated with the decreased level of heel bone mineral density (P = 4.086e-10, P = 1.487e-09, P = 1.967e-09). The colocalization analysis supported the relationship between HGMCR-mediated non-HDL cholesterol and heel bone mineral density. The SMR reported that higher expression of HGMCR was associated with the decreased level of this osteoporosis indicator (P = 0.036). The multivariate MR further confirmed the role of HGMCR in the correlation between cholesterol traits and heel bone mineral density, and also reported that estrogen played a mediating role in the above correlations.

CONCLUSION

These evidence supported a protective effect of HMGCR-mediated non-HDL cholesterol reduction or statin use against osteoporosis.

Identification and validation of iron metabolism genes in osteoporosis

BACKGROUND

Osteoporosis is the most common metabolic bone disease in humans. Exploring the expression difference of iron metabolism-related genes in osteoporosis can provide a new target for diagnosis and treatment.

METHODS

First, we used online databases to identify differentially expressed genes (DEGs) related to iron metabolism in patients with osteoporosis. The differential genes were comprehensively analyzed by bioinformatics method (GO, KEGG, GSEA, immune infiltration analysis, PPI). The expression levels of hub genes and important signaling pathways were verified by qRT-PCR and Western blotting.

RESULTS

A total of 23 iron metabolism-related genes with significant differences were identified, which were enriched in "regulation of protein dephosphorylation" and "negative regulation of protein dephosphorylation". The GSEA results, heme metabolism and Myc targets v1 were among the top two pathways, both upregulated. The immune infiltration analysis revealed that the expressions of genes such as ABCA5, D2HGDH, GNAI2, and CTSW were correlated with the infiltration degree of significantly different cells. The PPI network contained 12 differentially expressed iron metabolism-related genes. Additionally, YWHAE, TGFB1, PPP1R15A, TOP2A, and CALR were mined as hub genes using the Cytoscape software. qRT PCR showed that the expression of TGF-β1, YWHAE, TOP2A and CALR increased. We also verified the expression of related proteins and genes in the oxidative stress signaling pathway by qRT PCR and Western blotting. The results showed that Mob1, YAP and TAZ molecules were highly expressed at the gene and protein levels.

CONCLUSIONS

These differentially expressed iron metabolism-related genes could provide new potential targets for the diagnosis and treatment of osteoporosis.

Effect of immunology biomarkers associated with hip fracture and fracture risk in older adults

Osteoporosis is a skeletal disease that can increase the risk of fractures, leading to adverse health and socioeconomic consequences. However, current clinical methods have limitations in accurately estimating fracture risk, particularly in older adults. Thus, new technologies are necessary to improve the accuracy of fracture risk estimation. In this observational study, we aimed to explore the association between serum cytokines and hip fracture status in older adults, and their associations with fracture risk using the FRAX reference tool. We investigated the use of a proximity extension assay (PEA) with Olink. We compared the characteristics of the population, functional status and detailed body composition (determined using densitometry) between groups. We enrolled 40 participants, including 20 with hip fracture and 20 without fracture, and studied 46 cytokines in their serum. After conducting a score plot and two unpaired t-tests using the Benjamini-Hochberg method, we found that Interleukin 6 (IL-6), Lymphotoxin-alpha (LT-α), Fms-related tyrosine kinase 3 ligand (FLT3LG), Colony stimulating factor 1 (CSF1), and Chemokine (C-C motif) ligand 7 (CCL7) were significantly different between fracture and non-fracture patients (p < 0.05). IL-6 had a moderate correlation with FRAX (R2 = 0.409, p < 0.001), while CSF1 and CCL7 had weak correlations with FRAX. LT-α and FLT3LG exhibited a negative correlation with the risk of fracture. Our results suggest that targeted proteomic tools have the capability to identify differentially regulated proteins and may serve as potential markers for estimating fracture risk. However, longitudinal studies will be necessary to validate these results and determine the temporal patterns of changes in cytokine profiles.

Identification of key immune genes of osteoporosis based on bioinformatics and machine learning

Introduction

Immunity is involved in a variety of bone metabolic processes, especially osteoporosis. The aim of this study is to explore new bone immune-related markers by bioinformatics method and evaluate their ability to predict osteoporosis.

Methods

The mRNA expression profiles were obtained from GSE7158 in Gene expression Omnibus (GEO), and immune-related genes were obtained from ImmPort database (https://www.immport.org/shared/). immune genes related to bone mineral density(BMD) were screened out for differential analysis. protein-protein interaction (PPIs) networks were used to analyze the interrelationships between different immune-related genes (DIRGs). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses of DIRGs function were performed. A least absolute shrinkage and selection operation (LASSO) regression model and multiple Support Vector Machine-Recursive Feature Elimination (mSVM-RFE) model were constructed to identify the candidate genes for osteoporosis prediction The receiver operator characteristic (ROC) curves were used to validate the performances of predictive models and candidate genes in GEO database (GSE7158,GSE13850).Through the RT - qPCR verify the key genes differentially expressed in peripheral blood mononuclear cells Finally, we constructed a nomogram model for predicting osteoporosis based on five immune-related genes. CIBERSORT algorithm was used to calculate the relative proportion of 22 immune cells.

Results

A total of 1158 DEGs and 66 DIRGs were identified between high-BMD and low-BMD women. These DIRGs were mainly enriched in cytokine-mediated signaling pathway, positive regulation of response to external stimulus and the cellular components of genes are mostly localized to external side of plasma membrane. And the KEGG enrichment analysis were mainly involved in Cytokine-cytokine receptor interaction, PI3K-Akt signaling pathway, Neuroactive ligand-receptor interaction,Natural killer cell mediated cytotoxicity. Then five key genes (CCR5, IAPP, IFNA4, IGHV3-73 and PTGER1) were identified and used as features to construct a predictive prognostic model for osteoporosis using the GSE7158 dataset.

Conclusion

Immunity plays an important role in the development of osteoporosis.CCR5, IAPP, IFNA4, IGHV3-73 and PTGER1were play an important role in the occurrences and diagnosis of OP.

Periplocin targets low density lipoprotein receptor-related protein 4 to attenuate osteoclastogenesis and protect against osteoporosis

Osteoporosis is a common inflammaging-related condition, where long-term accumulation of pro-inflammatory cytokines causes massive bone loss. Periplocin, a cardiotonic steroid isolated from Periploca forrestii, has been proved to reduce inflammation in several inflammatory diseases, such as rheumatoid arthritis. However, its effect and mechanism of inflammation in osteoporosis, in which pro-inflammatory factors accelerate bone loss, has not been well demonstrated. In this study, periplocin attenuated receptor activator of nuclear factor-κB ligand (RANKL)-induced osteoclast differentiation of bone marrow-derived macrophages (BMMs) and RAW264.7 cells in vitro. It reduced osteoclast numbers and bone resorption in a concentration- and time-dependent manner. Further, periplocin treatment resulted in reduced bone loss on mice with ovariectomy-induced osteoporosis in vivo. By transcriptome sequencing, periplocin was indicated to function through inhibition of the mitogen-activated protein kinase (MAPK) and nuclear factor-κB (NF-κB) signaling pathways and attenuating interactions between NF-κB and nuclear factor of activated T-cells 1 (NFATc1). It was further detected to bind low density lipoprotein receptor-related protein 4 (LRP4) in osteoclasts to exert anti-inflammatory and anti-osteoclastic effects. Overall, the findings have highlighted a better understanding for the anti-inflammatory and anti-osteoclastic role of periplocin in osteoporosis and its mechanism, bringing new possibilities for osteoporosis treatment.

Utilization of Nanotechnology to Improve Bone Health in Osteoporosis Exploiting Nigella sativa and Its Active Constituent Thymoquinone

Osteoporosis, a chronic bone disorder, is one of the leading causes of fracture and morbidity risk. Numerous medicinally important herbs have been evaluated for their efficacy in improving bone mass density in exhaustive preclinical and limited clinical studies. Nigella sativa L. has been used as local folk medicine, and traditional healers have used it to manage various ailments. Its reported beneficial effects include controlling bone and joint diseases. The present manuscript aimed to provide a sound discussion on the pharmacological evidence of N. sativa and its active constituent, thymoquinone, for its utility in the effective management of osteoporosis. N. sativa is reported to possess anti-IL-1 and anti-TNF-α-mediated anti-inflammatory effects, leading to positive effects on bone turnover markers, such as alkaline phosphatase and tartrate-resistant acid phosphatase. It is reported to stimulate bone regeneration by prompting osteoblast proliferation, ossification, and decreasing osteoclast cells. Thymoquinone from N. sativa has exhibited an antioxidant effect on bone tissue by reducing the FeNTA-induced oxidative stress. The present manuscript highlights phytochemistry, pharmacological effect, and the important mechanistic perspective of N. sativa and its active constituents for the management of osteoporosis. Further, it also provides sound discussion on the utilization of a nanotechnology-mediated drug delivery approach as a promising strategy to improve the therapeutic performance of N. sativa and its active constituent, thymoquinone, in the effective management of osteoporosis.