[Objective]To assess the influence of three-dimensional computed tomography (3D CT) reconstruction on preoperative fracture classification of intraarticular fractures by comparing 3D CT and 2D CT in preoperative fracture classification of tibial plateau fractures and acetabular fractures.[Method]A retrospective study was performed to evaluate 28 tibial plateau fractures and 19 acetabular fractures.Four attending traumatic orthopaedic surgeons used 3D CT and 2D CT respectively to evaluate fractures and rendered fracture classification.Test of agreement was performed to evaluate interobserver and intraobserver agreement about fracture classification.[Result]With the use of 3D CT images,interobserver and intraobserver reliability for fracture classification increased to perfect agreement.[Conclusion]3D CT could improve the reliability of preoperative fracture classification for tibial plateau fractures and acetabular fractures.3D CT is helpful and worthwhile for preoperative evaluation for fracture classification of intraarticular fractures.

Objective To compare the diagnostic values of 3D CT and 2D CT imaging for tibial plateau fractures. Methods A retrospective study was performed to evaluate 21 tibial plateau fractures. Four experienced orthopaedists were asked To make assessmem of fracture classifications and characteristics using 3D CT and 2D CT images.Agreement test Was performed to evaluate interobserver and intraobserver reliability for fracture classification and criteria validity for fracture characteristics(intraoperative findings were taken as the golden standard).Furthermore,MeNemar test was used to compare the agreement of 3D CT results and 2D CT results respectively with the golden standard for fracture characteristics.Results When 3D CT images were used.interobserver reliability and intraobserver reliability for fracture elassiftcation increased to"almost perfect agreement".The agreement of golden standard with 3D CT results for fracture characteristics Was significantly higher than that with 2D CT results. Condmiou Since 3D CT imaging can improve the reliability and accuracy of preoperative assessment oftibial plateau fractures,it is helpful and valuable for tibial plateau fractures.

Near infrared chemical imaging (NIR-CI) is an emerging technology for rapidly analyzing the critical quality attribute of Chinese materia medica (CMM). It integrates NIR spectroscopy with chemical imaging. In this paper, it provided a systematic introduction to NIR-CI, such as the core part of instrument, the reliability, transformation, analysis and application of high-dimensional data acquisition. In addition, current studies of NIR-CI application in pharmaceutical field were analyzed. Finally, future opportunities and challenges of NIR -CI applications in the quality control of CMM preparation were prospected.

Objective To provide a valid tool for assessment of the interpersonal climate of research teams by develo -ping a team interpersonal climate questionnaire .Methods Based on literature research and panel study , a pilot question-naire was constructed and handed out to a sample of 378 research graduate students in research teams .The analysis of va-lidity and reliability was conducted by SPSS 16.0 and Amos 17.0 for the questionnaire.Results The interpersonal climate in research teams is a two-facet concept , including mentor-mentee dyadic interpersonal relationship .The peer interpersonal relationship.The mentor-mentee dyadic interpersonal relationship consists of five dimensions: identification, support, developmental direction, individualized care , effectiveness of relationship , with the alpha coefficient ranging fron 0.931 to 0.959, while peer interpersonal relationship has only one dimension .Conclusion ①The interpersonal climate is a two-facet, six-dimension concept .②The self-developed interpersonal climate questionnaire achieves satisfactory validity and reliability .

Objective: To analyze the clinical features of ovarian fibrothecoma complicated with ascites and high level of CA125. and to explore the causes of elevated CA125 level and its significance in identifying benign and malignant ovarian tumors. Methods: The clinical data of one patient with varian fibrothecoma complicated with ascites and high level of senim CA125; combined with relevant literature review, the clinical characteristics, diagnosis and treatment process, and the significance of CA125 in the differential diagnosis of benign and malignant ovarian tumors were analyzed. Results: The patient was admitted to hospital due to vaginal bleeding for 4 months and pelvic mass for 1 month. The diagnosis result was pelvic and abdominal mass arising from ovarian according to the preoperative color Doppler ultrasound, enhanced CT» serum CA125 level and physical examination, and was highly suspected as ovarian malignant tumor. Surgery treatment was performed; based on the intraoperative rapid pathological results and postoperative slow pathology, the patient was diagnosed as ovarian fibrothecoma; the operation was successful. The patient recovered well and discharged from hospital. The serum CA125 level was decreased to the normal range 1 month after operation. Conclusion; Identification and quantitative analysis of the glycosylation modification and specific glycan structure of CA125 from different sources can significantly improve the diagnostic specificity of CA125 for benign and malignant ovarian tumors.

This study was aimed to optimize the near infrared (NIR) variable selection method based on multivariate detection limit (MDL). Using Qing-Kai-Ling (QKL) injection as object, three variable selection methods (interval par-tial least-squares, iPLS; backward interval partial least squares, BiPLS; moving window interval partial least squares, mwPLS) were used to establish the PLS models of baicalin in QKL injection, respectively. The prediction ability of different variable selection method was compared. MDL of all models were calculated in contrast to the MDL value of full spectra PLS model, to select optimal variable selection method. The results showed that different variable selec-tion methods had different prediction ability. Among them, iPLS had the best performance which determination coef-ficient of prediction (Rpre2) and the root mean square errors of prediction (SEP) were 0.996 5 and 602.3 μg·mL-1, re-spectively. All MDLs of different variable selection methods were reduced compared with the full spectra PLS model. The value of iPLS was the lowest comes to be 1.19 μg·mL-1. The results above indicated that the best variable se-lection method for baicalin in QKL injection was iPLS. MDL theory took the error of calibration and validation set and the leverage of external sample into account, which can comprehensively evaluate model detection performance compared to the classic chemical indicator parameters. This method was particularly suitable for the variable selec-tion method optimization of NIR quantitative model of low concentration sample such as Chinese herbal medicine.

This article was aimed to study the different clinical characteristics using drug pair of Cassia twig and white peony root with the contents ratio of 1:1 and 1:2. Based on the different clinical treatment of drug pair of Cas-sia twig and white peony root, different compositional ingredients in ratio of 1:1 and 1:2 were illuminated by HPLC/MS method. The drug pair of Cassia twig and white peony roots in ratio of 1:1 and 1:2 and single herbs were ex-tracted for HPLC/MS analysis. A protocol was followed, including acetonitrile - 0.1% acetic acid with gradient elution, positive mode, 350℃ capillary temperature and 300℃ vaporization temperature. The results showed that Procyanidol B2 and 2-Hydroxy cinnamal dehyde can be extracted from single Cassia twig, but 2-Hydroxy cinna-mal dehyde cannot be detected in drug pair. It showed the contents of Procyanidol B2 in 1:1 ratio was more than 1:2 ratio. Simultaneously, Palbinone, paeoniflorin sulfonate, 1,2,3,6-Tetra-O-galloyl-β-D-glucose, Paeoniflorin, Pae-oniflorin isomers, Benzoylpaeo-niflorin, and Benzoyl Paeoniflorin isomers can also be dissolved in white peony root. In addition, the contents of 1,2,3,6-Tetra-O-galloyl-β-D-glucose, Paeoniflorin, Benzoylpaeo-niflorin, and Benzoyl Paeoniflorin isomers in 1:1 were more than 1:2. The contents of Palbinone, paeoniflorin sulfonate and Paeoniflorin isomers in 1:2 were more than 1:1. It was concluded that Procyanidol B2, 1,2,3,6-Tetra-O-galloyl-β-D-glucose, Paeoniflorin, Benzoylpaeo-niflorin and Benzoyl Paeoniflorin isomers in 1:1 were more than 1:2. The contents of Pal-binone, Paeoniflorin sulfonate and Paeoniflorin isomers in 1:2 were more than 1:1. It provided a scientific basis for traditional Chinese medicine treatment using rational drug pair.

To investigate the effects of induction temperature on the expression product and the impact of urea concentration on the purification, HIV-1 Gag inclusion bodies from E. coli induced at 30 degrees C (IB30) and 37 degrees C (IB37) were dissolved with urea of different concentrations. The solubility and yield of refolding were compared. IB30 were dissolved with 2 mol/L and 8 mol/L urea, and then purified with chromatography. IB30 were found easier to be solubilized in low concentration of urea and easier to be refolded than IB37. Furthermore, compared to the IB30 dissolved in 8 mol/L urea, Gag protein solubilized in 2 mol/L urea was purified to higher purity with gel filtration (GF) and ion exchange (IEX) chromatography. Gag inclusion body induced at lower temperature may contain more protein with native-like or reversibly-denatured structures, and solubilization in the presence of low concentrations of urea can help to retain these structures. This study has provided new insights into the purification of proteins from inclusion bodies.
Escherichia coli ; genetics ; metabolism ; HIV-1 ; genetics ; Humans ; Inclusion Bodies ; metabolism ; Protein Denaturation ; Recombinant Proteins ; biosynthesis ; genetics ; isolation & purification ; Temperature ; Urea ; chemistry ; gag Gene Products, Human Immunodeficiency Virus ; biosynthesis ; genetics

Contrast-induced acute kidney injury (CI-AKI) refers to acute kidney injury that occurs after intravascular contrast media is applied. It is the third most common cause for acute renal failure in hospitalized patients and can cause severe renal impairment and adverse cardiovascular outcomes. In severe cases, it can even lead to the death of the patient. Due to its complicated pathogenesis, the pathogenesis of CI-AKI has not yet been elucidated. Therefore, it is of great significance to further study the pathogenesis for the prevention of CI-AKI. Moreover, a good animal model of CI-AKI is an important tool for in-depth research on the pathogenesis of acute kidney injury induced by contrast agents.
Animals ; Acute Kidney Injury/chemically induced* ; Contrast Media/adverse effects* ; Models, Animal

Objective: Yupingfeng Powder (YPF), a kind of preventative patent medicine, is chosen for treatment of coronavirus disease 2019 (COVID-19) due to its high frequency application in respiratory tract diseases, such as chronic obstructive pulmonary disease, asthma, respiratory tract infections, and pneumonia, with the advantage of reducing the relapse rate and the severity. However, the active components of YPF and the mechanisms of components affecting COVID-19 are unclear. This study aimed to determine active constituents and elucidate its potential mechanisms. Methods: Ultra performance liquid chromatography-quadrupole-time of flight mass spectrometry (UPLC-Q/TOF-MS) and liquid chromatography-triple quadrupole mass spectrometry (LC-QQQ-MS) were used to determine the components and absorbable constituents of YPF. Secondly, TCMSP, Drugbank, Swiss and PharmMapper were used to search the targets of absorbable bioactive constituents of YPF, and the targets of COVID-19 were identified based on GeneCards and OMIM databases. STRING database was used to filter the possible inter-protein interactions. Thirdly, Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways analysis were performed to identify molecular function and systemic involvement of target genes. Results: A total of 61 components of YPF and 36 absorbable constituents were identified through UPLC-Q/TOF-MS. Wogonin, prim-O-glucosylcimifugin, 5-O-methylvisamminol, astragaloside IV and 5-O-methylvisamminol (hydroxylation) were vital constituents for the treatment of COVID-19, and RELA, TNF, IL-6, MAPK14 and MAPK8ere recognized as key targets of YPF. The major metabolic reactions of the absorbed constituents of YPF were demethylation, hydroxylation, sulfation and glucuronidation. GO and KEGG pathway analysis further showed that the most important functions of YPF were T cell activation, response to molecule of bacterial origin, cytokine receptor binding, receptor ligand activity, cytokine activity, IL-17 signaling pathway, Chagas disease, lipid and atherosclerosis, etc. Conclusion: The approach of combining UPLC-Q/TOF-MS with network pharmacology is an effective tool to identify potentially bioactive constituents of YPF and its key targets on treatment of COVID-19.