Metabolite profiling of camel milk and the fermentation bacteria agent TR1 fermented two types of sour camel milk using LC-MS in relation to their probiotic potentials.

Camel milk is a nutrient-rich diet and fermentation affects its nutritional value and probiotic function. In this study, sour camel milk and oat jujube sour camel milk were prepared using fermentation bacteria agent TR1, and the metabolites of camel milk, sour camel milk and oat jujube sour camel milk were detected using a non-targeted metabolomics approach using liquid chromatography-mass spectrometry (LC-MS).The results showed that the partial least squares discriminant analysis (PLS-DA) with 100 % accuracy and good predictive power detected 343 components in positive ion mode and 220 components in negative ion mode. The differential metabolites were mainly organic acids, amino acids, esters, vitamins and other substances contained in camel milk.It showed that there were significant differences in the metabolites of camel milk, sour camel milk and oat jujube sour camel milk. Based on the pathway enrichment analysis of the three dairy products in the KEGG database, 12 metabolic pathways mainly involved in the positive ion mode and 20 metabolic pathways mainly involved in the negative ion mode were identified. The main biochemical metabolic pathways and signal transduction pathways of the differential metabolites of the three dairy products were obtained. This study provides theoretical support for improving the nutritional quality and probiotic function of camel milk and fermented camel milk products and provides a basis for the development of relevant processing technologies and products for camel milk and fermented camel milk.

Multi-omics Analysis to Identify Key Immune Genes for Osteoporosis based on Machine Learning and Single-cell Analysis.

OBJECTIVE: Osteoporosis is a severe bone disease with a complex pathogenesis involving various immune processes. With the in-depth understanding of bone immune mechanisms, discovering new therapeutic targets is crucial for the prevention and treatment of osteoporosis. This study aims to explore novel bone immune markers related to osteoporosis based on single-cell and transcriptome data, utilizing bioinformatics and machine learning methods, in order to provide novel strategies for the diagnosis and treatment of the disease. METHODS: Single cell and transcriptome data sets were acquired from Gene Expression Omnibus (GEO). The data was then subjected to cell communication analysis, pseudotime analysis, and high dimensional WGCNA (hdWGCNA) analysis to identify key immune cell subpopulations and module genes. Subsequently, ConsensusClusterPlus analysis was performed on the key module genes to identify different diseased subgroups in the osteoporosis (OP) training set samples. The immune characteristics between subgroups were evaluated using Cibersort, EPIC, and MCP counter algorithms. OP's hub genes were screened using 10 machine learning algorithms and 113 algorithm combinations. The relationship between hub genes and immunity and pathways was established by evaluating the immune and pathway scores of the training set samples through the ESTIMATE, MCP-counter, and ssGSEA algorithms. Real-time fluorescence quantitative PCR (RT-qPCR) testing was conducted on serum samples collected from osteoporosis patients and healthy adults. RESULTS: In OP samples, the proportions of bone marrow-derived mesenchymal stem cells (BM-MSCs) and neutrophils increased significantly by 6.73% (from 24.01% to 30.74%) and 6.36% (from 26.82% to 33.18%), respectively. We found 16 intersection genes and four hub genes (DND1, HIRA, SH3GLB2, and F7). RT-qPCR results showed reduced expression levels of DND1, HIRA, and SH3GLB2 in clinical blood samples of OP patients. Moreover, the four hub genes showed positive correlations with neutrophils (0.65-0.90), immature B cells (0.76-0.92), and endothelial cells (0.79-0.87), while showing negative correlations with myeloid-derived suppressor cells (negative 0.54-0.73), T follicular helper cells (negative 0.71-0.86), and natural killer T cells (negative 0.75-0.85). CONCLUSION: Neutrophils play a crucial role in the occurrence and development of osteoporosis. The four hub genes potentially inhibit metabolic activities and trigger inflammation by interacting with other immune cells, thereby significantly contributing to the onset and diagnosis of OP.

Treatment of supracondylar fractures of the humerus in adults using a novel anatomical locking plate on the anterior distal humerus: a case report.

BACKGROUND: Due to its unique anatomical characteristics, supracondylar fractures of the humerus are often difficult to achieve firm fixation with internal fixation equipment, resulting in delayed functional exercise, often leaving cubitus varus deformity, elbow stiffness, contractures, and other complications. Here, we report an adult patient with a supracondylar fracture of the humerus who underwent internal fixation through an anterior median incision in the humerus with our self-developed anterior anatomical locking plate of the distal humerus. CASE PRESENTATION: A 29-year-old male patient of Chinese ethnicity with trauma-induced right supracondylar fracture of the humerus and multiple soft tissue contusions, without nerve damage, blood vessel damage, or other injuries, underwent an internal incision in our hospital using a new anatomical locking plate for the anterior distal humerus fixed treatment. During the 16-month follow-up period, the patient's elbow range of motion was almost completely restored, functional scores were excellent, and there were no minor or major postoperative complications. CONCLUSION: In this study, we propose a surgical reconstruction strategy for adult patients with supracondylar humeral fractures. Through the anterior median incision of the humerus, open reduction and internal fixation were performed with an anatomic locking plate on the anterior side of the distal humerus to restore and fix the structure of the distal humerus, and satisfactory clinical results were achieved in our case.

Plasma proteins, circulating metabolites mediate causal inference studies on the effect of gut bacteria on the risk of osteoporosis development.

BACKGROUND: The role of gut bacteria in preventing and delaying osteoporosis has been studied. However, the causal relationship between gut bacteria, plasma proteins, circulating metabolites and osteoporosis (OP) risk has not been fully revealed. MATERIALS AND METHODS: In this study, a two-sample Mendelian randomization study (MR) approach was used to assess the causal associations between gut bacteria, plasma proteins and circulating metabolites, and osteoporosis risk using Genome Wide Association Study (GWAS) data from gut bacteria(n=8208), plasma proteins(n=2263), circulating metabolites (n=123), and osteoporosis (3203 cases and 16380452 controls). Inverse-variance weighted (IVW) was used as the main analytical method to estimate the MR causal effect and to perform directional sensitivity analysis of causality. Finally, the mediating effect values for the influence of gut flora on OP pathogenesis through circulating metabolites were calculated by univariate MR analysis, and multivariate MR analysis. Next, we evaluated the effect of Phosphatidylcholine on the osteogenic function of bone marrow mesenchymal stem cells (BMSCs) through relevant experiments, including Edu detection of cell proliferation, alkaline phosphatase (ALP) staining, Alizarin red staining to evaluate osteogenic function, qPCR and WB detection of osteogenic differentiation related gene expression. RESULTS: A total of 9 gut microbial taxa, 15 plasma proteins and eight circulating metabolites were analysed for significant causal associations with the development of OP. Significant causal effects of 7 on gut bacteria, plasma proteins and circulating metabolites were analysed by univariate MR analysis and these results were used as exposure factors for subsequent multivariate MR. Multivariate MR analyses yielded a significant effect of circulating metabolites Phosphatidylcholine and other cholines on OP (P<0.05). Further mediation effect analysis showed that the mediation effect of Bifidobacteriaceae affecting OP through the circulating metabolite Phosphatidylcholine and other cholines was -0.0224, with a 95 % confidence interval for the mediation effect that did not include 0, and the complete mediation effect was significant. Phosphatidylcholine can promote BMSCs proliferation and osteogenesis. CONCLUSION: Our study demonstrated significant causal associations of gut bacteria, plasma proteins and circulating metabolites on OP, and that Bifidobacteriaceae affect OP through the circulating metabolites Phosphatidylcholine and other cholines. Phosphatidylcholine affects the osteogenic ability of BMSCs. Further exploration of potential microbiota-associated mechanisms of bone metabolism may offer new avenues for osteoporosis prevention and treatment of osteoporosis.

3D-printed porous zinc scaffold combined with bioactive serum exosomes promotes bone defect repair in rabbit radius.

Currently, the repair of large bone defects still faces numerous challenges, with the most crucial being the lack of large bone grafts with good osteogenic properties. In this study, a novel bone repair implant (degradable porous zinc scaffold/BF Exo composite implant) was developed by utilizing laser melting rapid prototyping 3D printing technology to fabricate a porous zinc scaffold, combining it under vacuum conditions with highly bioactive serum exosomes (BF EXO) and Poloxamer 407 thermosensitive hydrogel. The electron microscope revealed the presence of tea saucer-shaped exosomes with a double-layered membrane structure, ranging in diameter from 30-150 nm, with an average size of 86.3 nm and a concentration of 3.28E+09 particles/mL. In vitro experiments demonstrated that the zinc scaffold displayed no significant cytotoxicity, and loading exosomes enhanced the zinc scaffold's ability to promote osteogenic cell activity while inhibiting osteoclast activity. In vivo experiments on rabbits indicated that the hepatic and renal toxicity of the zinc scaffold decreased over time, and the loading of exosomes alleviated the hepatic and renal toxic effects of the zinc scaffold. Throughout various stages of repairing radial bone defects in rabbits, loading exosomes reinforced the zinc scaffold's capacity to enhance osteogenic cell activity, suppress osteoclast activity, and promote angiogenesis. This effect may be attributed to BF Exo's regulation of p38/STAT1 signaling. This study signifies that the combined treatment of degradable porous zinc scaffolds and BF Exo is an effective and biocompatible strategy for bone defect repair therapy.

Integrative analysis of cellular autophagy-related genes in steroid-induced osteonecrosis of the femoral head.

OBJECTIVE: This study aimed to identify and evaluate genes associated with cellular autophagy in steroid hormonal femoral head necrosis. METHODS: Autophagy-related differentially expressed genes (ARDEGs) in steroid-induced osteonecrosis of the femoral head (SONFH) were identified by obtaining the intersection of differentially expressed genes (DEGs) and autophagy-related genes in a SONFH Gene Expression Omnibus dataset. The ARDEGs were screened, and correlations between gene expression and immune cell infiltration were evaluated. Finally, the validation of hub genes was undertaken through quantitative real-time-PCR. RESULTS: A comparison of peripheral blood samples from patients with and without SONFH revealed 189 DEGs. Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, and gene set enrichment analyses showed that the DEGs were related to various biologic processes (e.g., neutrophil activation) and pathways (e.g., hematopoietic cell lineage). The expression levels of these genes were correlated with the infiltration of multiple immune cell types. Among the 189 putative autophagy-related genes associated with SONFH, three genes, RPL6, RPL9, and RPL23, were identified as candidate biomarkers or therapeutic targets based on network analysis and their correlations with immune cell subtypes. The quantitative real-time polymerase chain reaction results confirmed our prediction regarding the mRNA expression of RPL9 and RPS6. CONCLUSION: In this study, we identified 189 putative autophagy-related genes associated with SONFH, and the prediction of down-regulated genes RPL9 and RPS6 was validated using PCR, thereby expanding our understanding of the contribution of autophagy to SONFH.

Prognostic analysis and validation of diagnostic marker genes in patients with osteoporosis.

Backgrounds: As a systemic skeletal dysfunction, osteoporosis (OP) is characterized by low bone mass and bone microarchitectural damage. The global incidences of OP are high. Methods: Data were retrieved from databases like Gene Expression Omnibus (GEO), GeneCards, Search Tool for the Retrieval of Interacting Genes/Proteins (STRING), Gene Expression Profiling Interactive Analysis (GEPIA2), and other databases. R software (version 4.1.1) was used to identify differentially expressed genes (DEGs) and perform functional analysis. The Least Absolute Shrinkage and Selection Operator (LASSO) logistic regression and random forest algorithm were combined and used for screening diagnostic markers for OP. The diagnostic value was assessed by the receiver operating characteristic (ROC) curve. Molecular signature subtypes were identified using a consensus clustering approach, and prognostic analysis was performed. The level of immune cell infiltration was assessed by the Cell-type Identification by Estimating Relative Subsets of RNA Transcripts (CIBERSORT) algorithm. The hub gene was identified using the CytoHubba algorithm. Real-time fluorescence quantitative PCR (RT-qPCR) was performed on the plasma of osteoporosis patients and control samples. The interaction network was constructed between the hub genes and miRNAs, transcription factors, RNA binding proteins, and drugs. Results: A total of 40 DEGs, eight OP-related differential genes, six OP diagnostic marker genes, four OP key diagnostic marker genes, and ten hub genes (TNF, RARRES2, FLNA, STXBP2, EGR2, MAP4K2, NFKBIA, JUNB, SPI1, CTSD) were identified. RT-qPCR results revealed a total of eight genes had significant differential expression between osteoporosis patients and control samples. Enrichment analysis showed these genes were mainly related to MAPK signaling pathways, TNF signaling pathway, apoptosis, and Salmonella infection. RT-qPCR also revealed that the MAPK signaling pathway (p38, TRAF6) and NF-kappa B signaling pathway (c-FLIP, MIP1ß) were significantly different between osteoporosis patients and control samples. The analysis of immune cell infiltration revealed that monocytes, activated CD4 memory T cells, and memory and naïve B cells may be related to the occurrence and development of OP. Conclusions: We identified six novel OP diagnostic marker genes and ten OP-hub genes. These genes can be used to improve the prognostic of OP and to identify potential relationships between the immune microenvironment and OP. Our research will provide insights into the potential therapeutic targets and pathogenesis of osteoporosis.