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Chronic nonbacterial osteomyelitis (CNO) is an autoinflammatory bone disorder. The origin and development of CNO involve many complex immune processes, resulting in delayed diagnosis and a lack of effective treatment. Although bioinformatics analysis has been utilized to seek key genes and pathways in CNO, only a few bioinformatics studies that focus on CNO pathogenesis and mechanisms have been reported. This study aimed to identify key biomarkers that could serve as early diagnostic or therapeutic markers for CNO. Two RNA-seq datasets (GSE133378 and GSE187429) were obtained from the Gene Expression Omnibus (GEO). Weighted gene coexpression network analysis (WGCNA) and differentially expressed gene (DEG) analysis were conducted to identify the genes associated with CNO. Then, the autoinflammatory genes most associated with CNO were identified based on the GeneCards database and a CNO prediction model, which was created by the LASSO machine learning algorithm. The accuracy of the model and effects of the autoinflammatory genes according to receiver operating characteristic (ROC) curves were verified in external datasets (GSE7014). Finally, we performed clustering analysis with ConsensusClusterPlus. In total, eighty CNO-related genes were identified and were significantly enriched in the biological processes regulation of actin filament organization, cell–cell junction organization and gamma-catenin binding. The main enriched pathways were adherens junctions, viral carcinogenesis and systemic lupus erythematosus. Two autoinflammatory genes with high expression in CNO samples were identified by combining an optimal machine learning algorithm (LASSO) with the GeneCards database. An external validation dataset (GSE187429) was utilized for ROC analysis of the prediction model and two genes, and the results indicated good efficiency. Then, based on consensus clustering analysis, we found that the expression of UTS2 and MPO differed between clusters. Finally, the ceRNA network of lncRNAs and the small molecule compounds targeting the two autoinflammatory genes were predicted. The identification of two autoinflammatory genes, the HCG18/has-mir-147a/UTS2/MPO axis and signalling pathways in this study can help us understand the molecular mechanism of CNO formation and provides candidate targets for the diagnosis and treatment of CNO. [ABSTRACT FROM AUTHOR]

At present, the pedicle screw is the most commonly used internal fixation device. However, there are many kinds of common posterior pedicle screw insertion techniques performed to reconstruct the lumbar stability. Therefore, spinal surgeons often face a difficult choice. The stress distribution of internal fixation system is an important index for evaluating safety. Unfortunately, little had been known about the difference of stress distribution of screw-rod systems that established by Roy-Camille, Magerl and Krag insertion techniques. Here, combination of finite element analysis and model measurement research was adopted to evaluate the difference of stress. Following different pedicle screw insertion techniques, three lumbar posterior surgery models were established after modeling and validation of the L1–S1 vertebrae finite element model. By analyzing the data, we found that stress concentration phenomenon was in all the postoperative models. Roy-Camille and Magerl insertion techniques led to the great stress on screw-rod systems. Then, fresh frozen calf spines were selected as a model for subsequent measurements. Fitted with a specially designed test pedicle screw, L5–L6 vertebrae were selected to repeat and verify the results of the finite element analysis. With the aid of universal testing machine and digital torque wrench, models simulated flexion, extension, lateral bending and rotation. Finally, the strain value was captured by the strain gauge and was then calculated as the stress value. Krag and Magerl were found to be the safer choice for pedicle screw insertion. Overall, our combination method obtained the reliable result that Krag insertion technique was the safer approach for pedicle screw implantation due to its relatively dispersive stress. Therefore, without the consideration of screw size, pedicle fill, bone density, and bone structures, we recommend the Krag insertion technique as the first choice to reconstruction of lumbar stability. Additionally, the combination method of finite element analysis and strain gauge measurement can provide a feasible way to study the stress distribution of spinal internal fixation. [ABSTRACT FROM AUTHOR]

Aims: The objective is to investigate the effects of liraglutide on nonalcoholic fatty liver disease in type 2 diabetes mellitus. Materials and methods: Thirty-two patients with T2DM and NAFLD admitted to the Third Affiliated Hospital of Dalian Medical University from December 2014 to December 2016 were selected, including 11 females and 21 males, aged 39.34 ± 8.54 years old. The patients were given liraglutide on the basis of their original hypoglycemic regimen. Results: After 3 months treatment of liraglutide, FPG was reduced from 8.54 ± 2.21 mmol/L to 6.90 ± 1.73 mmol/L. HbA1c was reduced from 9.72 ± 1.95 to 7.78 ± 1.99. WC was reduced from 103.27 ± 9.92 kg to 93.97 ± 8.35 kg. BMI was reduced from 30.56 ± 4.06 kg/m2 to 28.01 ± 3.12 kg/m2. FLI was reduced from 79.23 ± 16.56 to 58.83 ± 19.75. The differences were statistically significant (p < 0.001). TG was reduced from 2.95 ± 2.13 mmol/L to 2.27 ± 1.31 mmol/L. The difference was significant (p < 0.01). Meanwhile, HOMA-IR was reduced from 1.504 ± 0.002 to 1.503 ± 0.002. GGT was reduced from 62.63 ± 71.61 U/L to 38.13 ± 30.13 U/L. AST was reduced from 27.25 ± 13.74 U/L to 25.44 ± 16.69 U/L. The differences were statistically significant (p < 0.05). After treatment, FCP, TC, HDL-C, LDL-C, ALT, and HOMA-β were also improved compared with before treatment, but the difference was not statistically significant (p > 0.05). Conclusion: In addition to effectively lowering glucose and improving islet resistance, liraglutide could also improve obesity and adjust blood lipids. However, the improvement of islet function might not be significant after 3 months of treatment. Liraglutide could reduce liver fat accumulation in patients with T2DM and NAFLD. [ABSTRACT FROM AUTHOR]

Annexins are a group of calcium- and phospholipid-dependent proteins. As a member of the annexin, annexin A2 (Anxa2) is widely distributed in nucleus, cytoplasm and extracellular surface and mainly expressed in human endothelial cells, mononuclear cells, macrophages, marrow cells and some tumor cells. Accumulated evidences indicated that Anxa2 deregulation was associated with the occurrence, invasion and metastasis of cancers. Anxa2 up-regulation was related to the development, invasion, metastasis and drug resistance of hepatocellular carcinoma, colorectal cancer, breast cancer, pancreatic cancer, acute promyelocytic leukemia and renal cell carcinoma; while Anxa2 down-regulation was associated with prostate cancer, esophageal squamous carcinoma and nasopharyngeal carcinoma and sinonasal adenocarcinoma. The association between Anxa2 and malignant tumors as well as the potential action mechanisms were summarized in current work. Anxa2 might be used as a potential biomarker for the diagnosis, treatment and prognosis of certain tumors. [ABSTRACT FROM AUTHOR]

Lymph node metastasis (LNM) is recognised as an important factor involved in malignant tumour progression by interfering with a favourable prognosis. It is involved in a variety of cancers. Proteins are believed to play important roles in the LNM of cancers. The rapid achievements of state-of-the-art proteomic techniques have emerged as the key technologies successfully applied to identify markers for cancers at high-throughput level by providing novel targets and creating possible therapeutic interventions in cancer research. This review summarises recent progress in proteomic research in hepatocarcinoma, gastric cancer, oesophageal cancer, colorectal cancer, breast cancer, lung cancer and nasopharyngeal cancer. Actin, heat-shock proteins (HSPs), annexins, cytokeratin 10 (CK10), CK19, protein gene product 9.5 (PGP9.5) and protein disulfide isomerase (PDI) are the most common proteins in lymphatic metastases of cancers revealed by proteomic and protein functional studies. Other protein candidates specifically associated with LNMs of certain cancers are also summarised and discussed. [ABSTRACT FROM AUTHOR]