Constructing and validating a predictive nomogram for osteoporosis risk among Chinese single-center male population using the systemic immune-inflammation index.

Osteoporosis (OP) is a bone metabolism disease that is associated with inflammatory pathological mechanism. Nonetheless, rare studies have investigated the diagnostic effectiveness of immune-inflammation index in the male population. Therefore, it is interesting to achieve early diagnosis of OP in male population based on the inflammatory makers from blood routine examination. We developed a prediction model based on a training dataset of 826 Chinese male patients through a retrospective study, and the data was collected from January 2022 to May 2023. All participants underwent the dual-energy X-ray absorptiometry (DXEA) and blood routine examination. Inflammatory markers such as systemic immune-inflammation index (SII) and platelet-to-lymphocyte ratio (PLR) was calculated and recorded. We utilized the least absolute shrinkage and selection operator (LASSO) regression model to optimize feature selection. Multivariable logistic regression analysis was applied to construct a predicting model incorporating the feature selected in the LASSO model. This predictive model was displayed as a nomogram. Receiver operating characteristic (ROC) curve, C-index, calibration curve, and clinical decision curve analysis (DCA) to evaluate model performance. Internal validation was test by the bootstrapping method. This study was approved by the Ethic Committee of the First Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine (Ethic No. JY2023012) and conducted in accordance with the relevant guidelines and regulations. The predictive factors included in the prediction model were age, BMI, cardiovascular diseases, cerebrovascular diseases, neuropathy, thyroid diseases, fracture history, SII, PLR, C-reactive protein (CRP). The model displayed well discrimination with a C-index of 0.822 (95% confidence interval: 0.798-0.846) and good calibration. Internal validation showed a high C-index value of 0.805. Decision curve analysis (DCA) showed that when the threshold probability was between 3 and 76%, the nomogram had a good clinical value. This nomogram can effectively predict the incidence of OP in male population based on SII and PLR, which would help clinicians rapidly and conveniently diagnose OP with men in the future.

Correlation of Hounsfield Units with Bone Mineral Density and T-Score in Chinese Adults.

OBJECTIVE: To examine the association between vertebral cancellous Hounsfield units (HUs), age, bone mineral density, and T-score in a sample of Chinese adults. METHODS: The study included a sample of 739 participants. Age, bone mineral density, and T-score of each participant were recorded, and HUs were measured in the L1-L4 vertebrae. RESULTS: Data analysis revealed that HUs of vertebral cancellous bone across the pedicle level decreased with age, with women having higher values than men up to age 50 and vice versa thereafter. Furthermore, a positive correlation was found between HUs of vertebral cancellous bone across the pedicle level and bone mineral density/T-score in the L1-L4 vertebrae, but with a weaker correlation in the L4 vertebrae. Additionally, HU values for participants with osteoporosis were significantly lower than HU values for participants with osteopenia and normal bone health. CONCLUSIONS: From the findings of this study, it can be concluded that HUs may be a potential predictor of bone health, with implications for presurgical assessment of the quality of bone-screw interfaces for spinal surgery.

Unearths IFNB1 immune infiltrates in SOP-related ossification of ligamentum flavum pathogenesis.

Background: Ossification of ligamentum flavum (OLF) is a hidden, indolent disease condition with variable unexplained etiology and pathology. Growing evidences show a correlation between senile osteoporosis (SOP) and OLF, but the fundamental relationship between SOP and OLF remains unclear. Therefore, the purpose of this work is to investigate unique SOP-related genes and their potential functions in OLF. Methods: Gene Expression Omnibus (GEO) database was utilized to gather the mRNA expression data (GSE106253) and then analyzed by R software. A variety of methods, including ssGSEA, machine learning (LASSO and SVM-RFE), GO and KEGG enrichment, PPI network, transcription factor enrichment analysis (TFEA), GSEA and xCells were employed to verified the critical genes and signaling pathways. Furthermore, ligamentum flavum cells were cultured and used in vitro to identify the expression of the core genes. Results: The preliminary identification of 236 SODEGs revealed their involvement in BP pathways associated with ossification, inflammation, and immune response, including the TNF signaling pathway, PI3K/AKT signaling pathway and osteoclast differentiation. Four down-regulated genes (SERPINE1, SOCS3, AKT1, CCL2) and one up-regulated gene (IFNB1) were among the five hub SODEGs that were validated. Additionally, they were performed by ssGSEA and xCell to show the relationship of immune cells infiltrating in OLF. The most fundamental gene, IFNB1, which was only found in the classical ossification- and inflammation-related pathways, suggested that it may affect OLF via regulating the inflammatory response. In vitro experiment, we found that IFNB1 expression was dramatically higher in cells cocultured with osteogenic induction than in controls. Conclusion: As far as we are concerned, this is the first observation using transcriptome data mining to reveal distinct SOP-related gene profiles between OLF and normal controls. Five hub SODEGs were ultimately found using bioinformatics algorithms and experimental verification. These genes may mediate intricate inflammatory/immune responses or signaling pathways in the pathogenesis of OLF, according to the thorough functional annotations. Since IFNB1 was discovered to be a key gene and was connected to numerous immune infiltrates in OLF, it is possible that IFNB1 expression has a substantial impact on the pathogenesis of OLF. Our research will give rise to new possibilities for potential therapeutics that target SOP reverent genes and immune-associated pathways in OLF.

A New Potential Complication in 2-Level Anterior Cervical Discectomy and Fusion with Zero-Profile Devices: Collapse of the Middle Cervical Vertebra.

OBJECTIVE: The objective of this study was to describe a new potential complication, collapse in the middle cervical vertebra of consecutive 2-level anterior cervical discectomy and fusion (ACDF), and discuss its possible mechanism. METHODS: Clinical and radiologic outcome data from 27 consecutive 2-level ACDF patients using zero-profile devices were collected at 1, 3, 6, and 12 months postoperatively, as well as the last follow-up. Dysphagia was assessed using the Bazaz score, and clinical outcomes were analyzed using the neck disability index and Japanese Orthopaedic Association score. Radiographic evaluation included measurements of the overall and surgical segment curvature, identification of collapse, and assessment of the ratio of anterior height and wedge of the upper, middle, and lower vertebrae in the surgical segment. RESULTS: The application of zero-profile devices to treat consecutive 2-level cervical spondylosis mostly resulted in good midterm clinical outcomes. Surprisingly, as evidenced by the significantly decreased anterior height and wedge ratio of the middle cervical vertebra, collapse was noted immediately in the middle vertebra in 4 patients at 1 month (n = 3) and 3 months (n = 1). The collapse increased for no more than 6 months, and there was no deterioration of clinical and radiological outcomes at the last follow-up. CONCLUSIONS: Collapse in the middle cervical vertebra of consecutive 2-level ACDF with the application of zero-profile devices can occur in the early postoperative period, which may be due to axial stress concentration and blood supply damage in the middle cervical vertebral body.