Osteoarthritis (OA) is one of the most prevalent joint disorders, with aging considered a primary, irreversible factor contributing to its progression. Telomere-related cellular senescence may be a crucial factor influencing the OA process, yet biomarkers for OA based on telomere-related genes have not been clearly identified. The datasets GSE51588, GSE12021, and GSE55457 were retrieved from the Gene Expression Omnibus database. Initially, R software was utilized to identify differentially expressed genes between OA and normal samples. Subsequently, differentially expressed telomere-related genes (DETMRGs) were obtained, and their functional enrichment was analyzed. Feature genes for OA diagnosis were selected from DETMRGs using a combination of least absolute shrinkage and selection operator, support vector machine-recursive feature elimination, and Random Forest algorithms. The diagnostic value of these feature genes was then validated through receiver operating characteristic (ROC) curves and decision curve analysis. Additionally, CIBERSORT and xCell were employed to assess the infiltration of immune cells in OA tissues.Finally, potential drugs targeting candidate genes were predicted. Three telomererelated genes, PGD, SLC7A5, and TKT, have been identified as biomarkers for OA diagnosis and were confirmed through ROC diagnostic tests. The immune infiltration of mast cells, neutrophils, common lymphoid precursors, and eosinophils associated with PGD, SLC7A5, and TKT was reduced. Recognizing telomere-related genes PGD, SLC7A5, and TKT as potential diagnostic biomarkers for OA is significant, as it offers valuable insights into the role of telomere-related genes in OA. This discovery also provides valuable information for the diagnosis and treatment of OA.

Osteoarthritis (OA) is one of the most prevalent joint disorders, with aging considered a primary, irreversible factor contributing to its progression. Telomere-related cellular senescence may be a crucial factor influencing the OA process, yet biomarkers for OA based on telomere-related genes have not been clearly identified. The datasets GSE51588, GSE12021, and GSE55457 were retrieved from the Gene Expression Omnibus database. Initially, R software was utilized to identify differentially expressed genes between OA and normal samples. Subsequently, differentially expressed telomere-related genes (DETMRGs) were obtained, and their functional enrichment was analyzed. Feature genes for OA diagnosis were selected from DETMRGs using a combination of least absolute shrinkage and selection operator, support vector machine-recursive feature elimination, and Random Forest algorithms. The diagnostic value of these feature genes was then validated through receiver operating characteristic (ROC) curves and decision curve analysis. Additionally, CIBERSORT and xCell were employed to assess the infiltration of immune cells in OA tissues.Finally, potential drugs targeting candidate genes were predicted. Three telomererelated genes, PGD, SLC7A5, and TKT, have been identified as biomarkers for OA diagnosis and were confirmed through ROC diagnostic tests. The immune infiltration of mast cells, neutrophils, common lymphoid precursors, and eosinophils associated with PGD, SLC7A5, and TKT was reduced. Recognizing telomere-related genes PGD, SLC7A5, and TKT as potential diagnostic biomarkers for OA is significant, as it offers valuable insights into the role of telomere-related genes in OA. This discovery also provides valuable information for the diagnosis and treatment of OA.

Osteoarthritis (OA) is one of the most prevalent joint disorders, with aging considered a primary, irreversible factor contributing to its progression. Telomere-related cellular senescence may be a crucial factor influencing the OA process, yet biomarkers for OA based on telomere-related genes have not been clearly identified. The datasets GSE51588, GSE12021, and GSE55457 were retrieved from the Gene Expression Omnibus database. Initially, R software was utilized to identify differentially expressed genes between OA and normal samples. Subsequently, differentially expressed telomere-related genes (DETMRGs) were obtained, and their functional enrichment was analyzed. Feature genes for OA diagnosis were selected from DETMRGs using a combination of least absolute shrinkage and selection operator, support vector machine-recursive feature elimination, and Random Forest algorithms. The diagnostic value of these feature genes was then validated through receiver operating characteristic (ROC) curves and decision curve analysis. Additionally, CIBERSORT and xCell were employed to assess the infiltration of immune cells in OA tissues.Finally, potential drugs targeting candidate genes were predicted. Three telomererelated genes, PGD, SLC7A5, and TKT, have been identified as biomarkers for OA diagnosis and were confirmed through ROC diagnostic tests. The immune infiltration of mast cells, neutrophils, common lymphoid precursors, and eosinophils associated with PGD, SLC7A5, and TKT was reduced. Recognizing telomere-related genes PGD, SLC7A5, and TKT as potential diagnostic biomarkers for OA is significant, as it offers valuable insights into the role of telomere-related genes in OA. This discovery also provides valuable information for the diagnosis and treatment of OA.

Osteoarthritis (OA) is one of the most prevalent joint disorders, with aging considered a primary, irreversible factor contributing to its progression. Telomere-related cellular senescence may be a crucial factor influencing the OA process, yet biomarkers for OA based on telomere-related genes have not been clearly identified. The datasets GSE51588, GSE12021, and GSE55457 were retrieved from the Gene Expression Omnibus database. Initially, R software was utilized to identify differentially expressed genes between OA and normal samples. Subsequently, differentially expressed telomere-related genes (DETMRGs) were obtained, and their functional enrichment was analyzed. Feature genes for OA diagnosis were selected from DETMRGs using a combination of least absolute shrinkage and selection operator, support vector machine-recursive feature elimination, and Random Forest algorithms. The diagnostic value of these feature genes was then validated through receiver operating characteristic (ROC) curves and decision curve analysis. Additionally, CIBERSORT and xCell were employed to assess the infiltration of immune cells in OA tissues.Finally, potential drugs targeting candidate genes were predicted. Three telomererelated genes, PGD, SLC7A5, and TKT, have been identified as biomarkers for OA diagnosis and were confirmed through ROC diagnostic tests. The immune infiltration of mast cells, neutrophils, common lymphoid precursors, and eosinophils associated with PGD, SLC7A5, and TKT was reduced. Recognizing telomere-related genes PGD, SLC7A5, and TKT as potential diagnostic biomarkers for OA is significant, as it offers valuable insights into the role of telomere-related genes in OA. This discovery also provides valuable information for the diagnosis and treatment of OA.

Osteoarthritis (OA) is one of the most prevalent joint disorders, with aging considered a primary, irreversible factor contributing to its progression. Telomere-related cellular senescence may be a crucial factor influencing the OA process, yet biomarkers for OA based on telomere-related genes have not been clearly identified. The datasets GSE51588, GSE12021, and GSE55457 were retrieved from the Gene Expression Omnibus database. Initially, R software was utilized to identify differentially expressed genes between OA and normal samples. Subsequently, differentially expressed telomere-related genes (DETMRGs) were obtained, and their functional enrichment was analyzed. Feature genes for OA diagnosis were selected from DETMRGs using a combination of least absolute shrinkage and selection operator, support vector machine-recursive feature elimination, and Random Forest algorithms. The diagnostic value of these feature genes was then validated through receiver operating characteristic (ROC) curves and decision curve analysis. Additionally, CIBERSORT and xCell were employed to assess the infiltration of immune cells in OA tissues.Finally, potential drugs targeting candidate genes were predicted. Three telomererelated genes, PGD, SLC7A5, and TKT, have been identified as biomarkers for OA diagnosis and were confirmed through ROC diagnostic tests. The immune infiltration of mast cells, neutrophils, common lymphoid precursors, and eosinophils associated with PGD, SLC7A5, and TKT was reduced. Recognizing telomere-related genes PGD, SLC7A5, and TKT as potential diagnostic biomarkers for OA is significant, as it offers valuable insights into the role of telomere-related genes in OA. This discovery also provides valuable information for the diagnosis and treatment of OA.

OBJECTIVE: To compare clinical effects of external fixation and minimally invasive percutaneous plate osteosynthesis (MIPPO) after external fixation in treating open fractures of tibial shaft. METHODS: From January 2020 to June 2022, 151 patients with open fracture of tibial shaft treated with external fixation stenting were divided into external fixation group and combined group according to different surgical methods. There were 81 patients in external fixation group, including 48 males and 33 females, aged from 21 to 68 years old with an average of (42.58±7.44) years old;according to Gustilo classification, 49 patients with typeⅡ, 32 patients with type ⅢA;the time from injury to treatment ranged from 2.5 to 10 h with an average of (4.25±0.74) h;external fixed stenting was performed. There were 70 patients in combined group, including 42 males and 28 females, aged from 20 to 69 years old with an average of (41.39±7.02) years old;35 patients with type Ⅱ and 35 patients with type ⅢA according to Gustilo classification;the time from injury to treatment ranged from 3 to 9 h with an average of (4.31±0.85) h;MIPPO treatment was performed after external fixed stenting. The time of callus formation, fracture healing and complications were compared between two groups. Rasmussen score and Hospital for Special Surgery (HSS) score were used to evaluate functional recovery of knee joint at 6 months after operation. RESULTS: Both groups were followed up for 6 to 13 months with an average of (10.17±2.33) months. The time of callus formation and fracture healing were (13.98±4.02) d and (70.26±12.15) d in combined group, and (18.56±4.37) d and (79.87±15.41) d in external fixation group, respectively. Combined group was better than external fixation group in the time of callus formation and fracture healing (P<0.05). At six months after operation, Rasmussen and HSS scores in combined group were (26.79±3.11) and (83.36±9.44), which were higher than those in external fixation group (24.51±4.63) and (79.63±8.46) (P<0.05). In external fixation group, there were 2 patients with incision infection, 2 patients with nail tract infection, 1 patient with stent loosening, fracture displacement, delayed union and malunion, and 1 patient with biocompatibility reaction in combined group, with statistical significance between two groups (P<0.05). CONCLUSION MIPPO could accelerate callus formation and fracture healing, improve knee function, improve clinical effects and reduce complications in patients with open tibial shaft fractures after external and external fixation.
Humans ; Male ; Female ; Middle Aged ; Adult ; Aged ; Tibial Fractures/physiopathology* ; Fracture Fixation, Internal/methods* ; Retrospective Studies ; Bone Plates ; External Fixators ; Fractures, Open/physiopathology* ; Stents ; Young Adult

The purpose of this study was to reveal the resistance mechanism of Mycoplasma bovis from Xizang yaks to macrolide antibiotics and provide theoretical basis for clinical medication.In this study,10 strains of Mycoplasma bovis from Xizang yaks were tested for drug sensitivity to macrolide antibiotics using the micromethod,and sensitive strains were induced to be highly resist-ant in vitro.The results showed that all 10 strains of Mycoplasma bovis exhibited varying degrees of resistance to macrolide antibiotics.However,through methylation enzyme and inactivation en-zyme gene detection and analysis,it was found that there was no methylation enzyme encoded by the methylation enzyme gene and no resistance mechanism mediated by macrolide inactivation en-zymes,indicating that there were no mutations in the target gene loci of the sensitive and resistant strains.However,highly resistant strains in vitro have mutations at the domain Ⅱ,L22,and even L4 target gene loci,indicating that if two or more target gene amino acid loci undergo mutations,highly resistant strains can be produced.After testing with active efflux systems,it was found that there were no active efflux systems using macrolide antibiotics as substrates.It can be seen that the strain of Mycoplasma bovis from Xizang yaks is prone to mutation under the pressure of high con-centrations of macrolides,and there are mutations in two or more target gene amino acid sites,which is prone to produce highly resistant strains.

Objectives:This study was aimed to investigate the risk factors for moderate and severe acute kidney injury(AKI),in-hospital mortality and dialysis dependence after acute Stanford type A aortic dissection(TAAD)surgery. Methods:Complete clinical data of 294 TAAD patients who underwent ascending aorta replacement,total aortic arch replacement combined with frozen elephant trunk between December 2014 and December 2016 with time between symptom onset and diagnosis<14 days were retrospectively and consecutively collected and analyzed.AKI was defined according to the SCr component of the Kidney Disease Improving Global Outcomes(KDIGO)2012 consensus criteria,and classified as moderate-severe AKI(AKI stage 2-3)or non-moderate-severe AKI(no AKI or AKI stage 1).Univariate and multivariate logistic regression analyses were used to analyze the risk factors for moderate to severe AKI,in-hospital mortality or dialysis dependence after TAAD surgery. Results:AKI occurs in 232 out of 294 patients(79.3%),124(42.2%)with AKI stage 1,45(15.3%)with AKI stage 2,63(21.4%)with AKI stage 3,and 27(9.2%)requiring continuous renal replacement therapy(CRRT).The dialysis dependence rate at discharge was 3.1%(n=9),and overall in-hospital mortality rate was 3.7%(n=11).Univariate analysis revealed that patients who developed the moderate-severe AKI were more likely to present with hypertension,preoperative renal hypoperfusion,longer duration of cardiopulmonary bypass(CPB),longer duration of aortic cross-clamp and higher intraoperative ultrafiltration volume(all P<0.05).Multivariate logistic regression analysis showed that renal hypoperfusion(OR=4.95,95%CI:1.97-12.26,P<0.001),and prolonged CPB time(OR=1.01,95%CI:1.00-1.02,P=0.016)were independent risk factors for moderate-severe AKI after TAAD surgery.Further analysis revealed that prolonged CPB time(OR=1.02,95%Cl:1.01-1.03,P=0.007)and moderate-severe AKI(OR=10.49,95%Cl:1.22-90.62,P=0.033)were independent risk factors for in-hospital mortality or dialysis dependence after TAAD surgery. Conclusions:Preoperative renal hypoperfusion and prolonged CPB time are independent risk factors for moderate-severe AKI after TAAD surgery.Prolonged CPB time and occurrence of moderate to severe AKI significantly increase the risk of in-hospital mortality and dialysis dependence,indicating that close clinical follow-up of these patients is required.

Objective To establish the drug use evaluation(DUE)criteria of recombinant human prourokinase(rhPro-UK),and to provide reference for the rational clinical application of rhPro-UK.Methods Based on the drug instructions of rhPro-UK,DUE standard rules were established by referring to relevant guidelines,expert consensus,authoritative literature and expert consultation.The medical records of hospitalized patients treated with rhPro-UK from January 2019 to May 2022 in Xilin Gol League Central Hospital were evaluated by retrospective investigation.The effectiveness of rhPro-UK was evaluated based on clinical outcome,and its safety was evaluated based on the incidence and severity of adverse reactions.Results A total of 230 cases were included,and 4 cases fully met the evaluation criteria(medication indication,medication process,medication results),accounting for 1.74％.There were 226 patients(98.26％)with irrational drug use,mainly manifested in two aspects of drug indication and drug process(administration mode and dosage).Treatment was effective in 221 patients,with an overall effective rate of 96.09％;139 patients experienced adverse reactions,with an incidence rate of 60.43％.Conclusion The clinical use of rhPro-UK in our hospital is irrational in the indication of medication and the process of medication,and the establishment of the DUE standard rules of rhPro-UK can provide a reference to standardize the clinical application of rhPro-UK and promote its rational use.

Objective To establish the drug use evaluation(DUE)standard of somatostatin and evaluate the rationality of its clinical use,so as to provide a reference for the rationally clinical application of somatostatin.Methods Based on the specification of somatostatin for injection,related guidelines and literature,DUE standard was established.Evaluate the rationality and standardization of the use of somatostatin for injection at Beihai People's Hospital from January 2021 to December 2021 based on the established DUE standards.Results A total of 407 patients were included,with a medication reasonable rate of 94.84％.The irrational use of drug included unreasonable indications(13 cases,3.19％),unreasonable drug use frequency(7 cases,1.72％),and unreasonable drug interactions(1 case,0.25％).Conclusion The somatostatin for injection DUE standard established is feasible and practical.The clinical application of somatostatin for injection in this hospital is basically reasonable,but there are still some irrational use of somatostatin,which should be strengthened for intervention.