ObjectiveTo analyze the phylogroups of Klebsiella pneumoniae isolates from laboratory rats and mice housed at the Laboratory Animal Center Fudan University, optimize the identification method for Klebsiella pneumoniae, and perform virulence genes detection and antimicrobial susceptibility testing, thereby providing a practical basis for microbial detection strategies and prevention and control measures in laboratory animal facilities. MethodsBetween September 2023 and September 2025, ileocecal contents were collected from laboratory rats and mice purchased from laboratory animal suppliers, from which 11 strains of Klebsiella pneumoniae were isolated and cryopreserved. These strains were tested for β-lactamase genes using multiplex PCR for phylogrouping. Furthermore, representative strains from different phylogroups were selected for biochemical tests, mass spectrometry analysis, 16S rRNA gene and tyrB gene sequencing, as well as virulence genes detection and antimicrobial susceptibility testing. ResultsMultiplex PCR detection of β-lactamase genes revealed that among 11 strains, 4 were identified as Klebsiella pneumoniae (Kp1), 4 as Klebsiella quasipneumoniae (Kp2), and 3 as Klebsiella variicola (Kp3). Kp1-Kp3 could not be differentiated using biochemical tests, mass spectrometry analysis, or 16S rRNA gene sequencing, whereas multiplex PCR of β-lactamase genes and tyrB gene sequencing enabled phylogrouping of all three. There were differences in the detection rates of capsular genes (capsule associated gene G and magnesium transport system ATP-binding protein A) and siderophore genes (Klebsiella pneumoniae iron uptake system genes) among Kp1-Kp3; susceptibility to different antibiotics also varied considerably. ConclusionKlebsiella pneumoniae phylogroups isolated from commercially produced laboratory rats and mice are similar to those in human clinical samples and likewise include multiple phylogroups of the species complex. In this study, the identification methods of Kp1-Kp3 were optimized,furthermore selected virulence genes and antimicrobial resistance in Kp1-Kp3 were preliminarily investigated, which could provide precise reference for the treatment of infections caused by different phylogroups occurring in laboratory animal facilities.

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

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 verify the accuracy of Youssef's formula and evaluate whether fetal biacromial diameter(BA)and other fetal biological diameters estimated by ultrasound can be used to predict macrosomia and shoulder dystocia,so as to provide the possibility for clinical prediction of shoulder dystocia.Methods A total of 200 pregnant women with a gestational period of 37-42 weeks were examined with ultrasound within 3 days before delivery for collecting biparietal diameter(BPD),head circumference(HC),abdominal circumference(AC),humerus length(HL),femur length(FL),thoracic transverse diameter and midpoint diameter of upper arm;and the fetal BA was estimated by Youssef's formula.Neonatal BA,body mass and body length were measured within 1 day after delivery.The above data were analyzed for correlation.Newborns were grouped according to their body mass(macrosomia vs non-macrosomia)and whether they had shoulder dystocia or not(shoulder dystocia vs non-shoulder dystocia).Results(1)The fetal BA estimated by Youssef's formula was consistent with neonatal BA(P>0.05),and the estimated BA was positively correlated with BPD,HC,AC and neonatal body mass(P<0.001).(2)The BA,BA/AC and BA/HC in macrosomia group were different from those in non-macrosomia group(P<0.05).ROC curve showed that the sensitivity and specificity were 92.3%and 88.2%for macrosomia prediction when the estimated BA threshold was 16.05 cm,and those were 61.5%and 77.0%when BA/AC threshold was 0.455,and 76.9%and 72.7%when BA/HC threshold was 0.465.(3)Shoulder dystocia group had neonatal weight close to non-shoulder dystocia group(P>0.05),but higher BA/BPD,BA/HC and BA-BPD(P<0.05).ROC curve showed that the sensitivity and specificity were 100.0%and 66.8%for shoulder dystocia when BA threshold was 15.45 cm,100.0%and 80.6%when BA/BPD threshold was 1.695,100.0%and 81.6%when BA/HC threshold was 0.475,and 100.0%and 76.0%when the threshold difference between BA and BPD was 6.35 cm.Conclusion Fetal BA,BA/BPD,BA/HC,BA/AC and BA-BPD may be effective predictors of shoulder dystocia and macrosomia.

Objective:To investigate the significance of urinary 8-oxo-7, 8-dihydroguanosine(8-oxoGuo)in assessing the short-term prognosis of sepsis in frail elderly patients.Methods:We conducted a cross-sectional study involving 62 frail elderly patients diagnosed with sepsis who were admitted to the Emergency Intensive Care Unit(EICU)at Beijing Hospital between March 2021 and March 2022.Based on their 28-day prognosis, the patients were categorized into two groups: those who died and those who survived.Upon admission, we collected urine samples and clinical data from both groups.We employed isotope dilution high-performance liquid chromatography-mass spectrometry to measure the levels of the RNA oxidation marker 8-oxoGuo in the urine.Results:A total of 62 frail elderly patients[aged(85.1±6.3)years]diagnosed with sepsis were included in the study, comprising 36 patients in the 28-day mortality group and 26 patients in the survival group.Univariate analysis revealed that the survival group had significantly lower body temperature, blood calcitonin(PCT)levels, sequential organ failure assessment(SOFA)scores, and urinary 8-oxoGuo levels compared to the mortality group.Additionally, the survival group exhibited a higher mean arterial pressure(MAP)than the mortality group, with all differences reaching statistical significance(all P<0.05).Spearman correlation analysis indicated that urinary 8-oxoGuo levels were positively correlated with both PCT and SOFA scores in frail elderly sepsis patients( r=0.426, 0.768, both P<0.05).Furthermore, logistic regression analysis identified urinary 8-oxoGuo and SOFA as independent risk factors for 28-day mortality in this population( OR=1.936, 1.427; P=0.006, 0.002).The area under the receiver operating characteristic curve(AUC)for urinary 8-oxoGuo and SOFA in predicting the 28-day prognosis of frail elderly sepsis patients was 0.761 and 0.741, respectively, both demonstrating statistical significance(both P<0.001). Conclusions:Our findings suggest that urinary 8-oxoGuo possesses strong predictive value for the short-term prognosis of sepsis in this vulnerable population.

Objective To verify the accuracy of Youssef's formula and evaluate whether fetal biacromial diameter(BA)and other fetal biological diameters estimated by ultrasound can be used to predict macrosomia and shoulder dystocia,so as to provide the possibility for clinical prediction of shoulder dystocia.Methods A total of 200 pregnant women with a gestational period of 37-42 weeks were examined with ultrasound within 3 days before delivery for collecting biparietal diameter(BPD),head circumference(HC),abdominal circumference(AC),humerus length(HL),femur length(FL),thoracic transverse diameter and midpoint diameter of upper arm;and the fetal BA was estimated by Youssef's formula.Neonatal BA,body mass and body length were measured within 1 day after delivery.The above data were analyzed for correlation.Newborns were grouped according to their body mass(macrosomia vs non-macrosomia)and whether they had shoulder dystocia or not(shoulder dystocia vs non-shoulder dystocia).Results(1)The fetal BA estimated by Youssef's formula was consistent with neonatal BA(P>0.05),and the estimated BA was positively correlated with BPD,HC,AC and neonatal body mass(P<0.001).(2)The BA,BA/AC and BA/HC in macrosomia group were different from those in non-macrosomia group(P<0.05).ROC curve showed that the sensitivity and specificity were 92.3%and 88.2%for macrosomia prediction when the estimated BA threshold was 16.05 cm,and those were 61.5%and 77.0%when BA/AC threshold was 0.455,and 76.9%and 72.7%when BA/HC threshold was 0.465.(3)Shoulder dystocia group had neonatal weight close to non-shoulder dystocia group(P>0.05),but higher BA/BPD,BA/HC and BA-BPD(P<0.05).ROC curve showed that the sensitivity and specificity were 100.0%and 66.8%for shoulder dystocia when BA threshold was 15.45 cm,100.0%and 80.6%when BA/BPD threshold was 1.695,100.0%and 81.6%when BA/HC threshold was 0.475,and 100.0%and 76.0%when the threshold difference between BA and BPD was 6.35 cm.Conclusion Fetal BA,BA/BPD,BA/HC,BA/AC and BA-BPD may be effective predictors of shoulder dystocia and macrosomia.