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ObjectiveBy starting with the combination of Os Draconis， Bupleuri Radix， and Ostreae Concha， the role of mineral medicine Os Draconis in the combination of the Bupleuri Radix-containing tri-herbal medicines was preliminarily explored from the perspective of supramolecular system formation. Method① The appearance and Tyndall phenomenon of single decoction of Os Draconis， Bupleuri Radix， and Ostreae Concha， as well as co-decoction of Bupleuri Radix-Os Draconis， Bupleuri Radix-Os Draconis-Ostreae Concha， and Bupleuri Radix-Ostreae Concha were observed， and the average particle size， dispersion coefficient， and Zeta potential of suspension particles in each decoction were determined. The micromorphology of supramolecular structures was observed by scanning electron microscope （SEM）. ② The pH of different compatibility systems， liquid viscosity coefficient， liquid surface tension， freeze-dried powder yield rate， and other physical properties were determined， and the interaction of different compatibility systems was detected by infrared absorption spectroscopy （FTIR） and UV-visible spectrophotometry （UV-Vis）. ③ The composition and content difference of different compatible systems were determined by high-performance liquid chromatography （HPLC） and ultra-performance liquid chromatography-quadrupole-time of flight mass spectrometry （UPLC-Q-TOF-MS）. ResultCompared with the single decoction， the co-decoction had more obvious turbidity and Tyndall phenomenon. The particles in the co-decoction suspension were smaller and more evenly distributed， and the Zeta potential was reduced， indicating a more stable system. Under SEM， Bupleuri Radix was irregularly lamellar， and Bupleuri Radix-Os Draconis and Bupleuri Radix-Os Draconis-Ostreae Concha were mainly spherical nanoparticles. Bupleuri Radix-Ostreae Concha was irregularly lamellar， with a small number of spherical nanoparticles. The pH of the single decoction of Bupleuri Radix and co-decoction increased， and the viscosity coefficient increased. The liquid surface tension decreased. The freeze-dried powder yield rate of the Bupleuri Radix-Os Draconis co-decoction was the highest， followed by Bupleuri Radix-Ostreae Concha decoction and Bupleuri Radix-Os Draconis-Ostreae Concha decoction， and the yield rate of Bupleuri Radix single decoction was the lowest. The main change of FTIR was the stretching vibration of -OH， and the co-decoction moved to the low-frequency direction obviously. UV-Vis showed that the maximum absorption occurred at 295.8 nm for all groups， and the absorption intensity was different （Bupleuri Radix-Os Draconis>Bupleuri Radix-Os Draconis-Ostreae Concha>Bupleuri Radix-Ostreae Concha>Bupleuri Radix）. The components of Bupleuri Radix were used as the indexes， and the content of methanol extract determined by HPLC was higher than that of water extract， and the components of Bupleuri Radix single decoction were mainly saikosaponin a （SSa） and saikosaponin c （SSc）， which were slightly higher after co-decoction compatibility. UPLC-Q-TOF-MS could identify 37 compounds in both single decoction and co-decoction. ConclusionThe combination of Bupleuri Radix， Os Draconis， and Ostreae Concha can form a smaller， more uniform， and stable nano-sized supramolecular system， which is conducive to the dissolution of the main components of Bupleuri Radix， and the Os Draconis contributes the most in this process.
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【Objective】 To establish an effective quality indicator monitoring system, scientifically and objectively evaluate the quality management level of blood banks, and achieve continuous improvement of quality management in blood bank. 【Methods】 A quality monitoring indicator system that covers the whole process of blood collection and supply was established, the questionnaire of Quality Monitoring Indicators for Blood Collection and Supply Process with clear definition of indicators and calculation formulas was distributed to 17 blood banks in Shandong. Statistical analysis of 21 quality monitoring indicators in terms of blood donation service (10 indicators), blood component preparation (7 indicators ), and blood supply (4 indicators) from each blood bank from January to December 2022 were conducted using SPSS25.0 software The differences in quality monitoring indicators of blood banks of different scales were analyzed. 【Results】 The average values of quality monitoring indicators for blood donation service process of 17 blood banks were as follows: 44.66% (2 233/5 000) of regular donors proportion, 0.22% (11/50) of adverse reactions incidence, 0.46% (23/5 000) of non-standard whole blood collection rate, 0.052% (13/25 000) of missed HBsAg screening rate, 99.42% (4 971/5 000) of first, puncture successful rate, 86.49% (173/200) of double platelet collection rate, 66.50% (133/200) of 400 mL whole blood collection rate, 99.25% (397/400) of donor satisfaction rate, 82.68% (2 067/2 500) of use rate of whole blood collection bags with bypass system with sample tube, and 1 case of occupational exposure in blood collection.There was a strong positive correlation between the proportion of regular blood donors and the collection rate of 400 mL whole blood (P<0.05). The platelet collection rate, incidence of adverse reactions to blood donation, and non-standard whole blood collection rate in large blood banks were significantly lower than those in medium and small blood banks (P<0.05). The average quality monitoring indicators for blood component preparation process of 17 blood banks were as follows: the leakage rate of blood component preparation bags was 0.03% (3/10 000), the discarding rate of lipemic blood was 3.05% (61/2 000), the discarding rate of hemolysis blood was 0.13%(13/10 000). 0.06 case had labeling errors, 8 bags had blood catheter leaks, 2.76 bags had blood puncture/connection leaks, and 0.59 cases had non-conforming consumables. The discarding rate of hemolysis blood of large blood banks was significantly lower than that of medium and small blood banks (P<0.05), and the discarding rate of lipemic blood of large and medium blood banks was significantly lower than that of small blood banks (P<0.05). The average values of quality monitoring indicators for blood supply process of 17 blood banks were as follows: the discarding rate of expired blood was 0.023% (23/100 000), the leakage rate during storage and distribution was of 0.009%(9/100 000), the discarding rate of returned blood was 0.106% (53/50 000), the service satisfaction of hospitals was 99.16% (2 479/2 500). The leakage rate of blood components during storage and distribution was statistically different with that of blood component preparation bags between different blood banks (P<0.05). There were statistically significant differences in the proportion of regular blood donors, incidence of adverse reactions, non-standard whole blood collection rate, 400 mL whole blood collection rate, double platelet collection rate, the blood bag leakage rate during preparation process, the blood components leakage rate during storage and distribution as well as the discarding rate of lipemic blood, hemolysis blood, expired blood and returned blood among large, medium and small blood banks (all P<0.05). 【Conclusion】 The establishment of a quality monitoring indicator system for blood donation services, blood component preparation and blood supply processes in Shandong has good applicability, feasibility and effectiveness. It can objectively evaluate the quality management level, facilitate the continuous improvement of the quality management system, promote the homogenization of blood management in the province and lay the foundation for future comprehensive evaluation of blood banks.
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The increasing frequency of radiographic diagnostic imaging and the cumulative dose to the public from radiation has raised widespread concerns. However, accurate measurement of the radiation dose received by the human body is difficult to achieve. Monte Carlo simulation, as a numerical computational method guided by probability statistics theory, has been applied to various dose assessments, imaging optimizations, and radiation protection in radiographic diagnostic imaging. We provide a comprehensive review of the principles of the Monte Carlo method, the modelling process of Monte Carlo simulation and the progress of its application to diagnostic radiological dose estimation.
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ObjectiveTo discover and analyze single or several correlative key amino acid sites that influence the host tropism during the influenza A virus （IAV） infection based on complete internal protein gene segments of IAV strains， and to provide evidence for the study of human host-adaptive mutations of IAV. MethodsThe full-length nucleotide sequences of 43 671 IAV strains containing 6 complete internal gene segments were downloaded from the GISAID EpiFluTM database， and 698 human-tropic （HU） and 1 266 avian-tropic （AV） representative strains were included. The consensus coding sequences of the representative strains from the amphitropic category were compared by R script， and the differential amino acid sites and their polymorphisms were then obtained. The multi-site combination analysis of differential sites was conducted with R script. ResultsA total of 49 and 57 conserved differential sites were obtained from the consensus sequence comparison between AV and H1N1 （subtype from HU）， and comparison between AV and H3N2 （another subtype from HU）， separately. 79 and 65 multi-site combinations were found between HU and AV strains through 3 and 4 sites combination analysis， respectively， and a total of 11 conserved sites were involved： site 271 and 684 in PB2； site 336， 486， 581 and 621 in PB1； site 204 and 356 in PA； site 33， 305 and 357 in NP. No eligible differential sites were found in M1 and NS1. ConclusionSeveral conserved amino acid differential sites， between HU and AV strains of IAV， are found in PB2， PB1， PA and NP proteins. Instead of working as single units， these sites may have interactions， forming specific amino acid combinations that determine the host tropism of IAV collectively.
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Objective:To investigate the predictive value of serum anti-Mullerian hormone (AMH) combined with transvaginal color Doppler ultrasonography (vaginal color ultrasound) for ovarian reserve function in infertility patients.Methods:A total of 105 infertility patients diagnosed and treated in Dezhou People′s Hospital from January 2018 to October 2020 were selected as study subjects. Among them, 32 patients with less than 5 eggs obtained after the first treatment (low ovarian response) were included in group A, and 73 patients with 5 to 15 eggs obtained (normal ovarian response) were included in group B. Serum AMH levels were measured, antral follicle count (AFC), ovarian volume (OV), and ovarian stromal peak diastolic systolic velocity (PSV) were recorded by vaginal ultrasound. The levels of above index in A, B groups, patients aged > 35 years old, and those aged ≤35 years old were compared. Moreover, the correlation among serum AMH level and aged, ultrasonic parameters were analyzed. The efficacy of serum AMH level and AFC, OV and PSV in predicting low ovarian response was analyzed by receiver operating characteristic (ROC) curve.Results:The levels of serum AMH, AFC, OV and PSV in group A were lower than those in group B: (0.69 ± 0.28) μg/L vs. (1.43 ± 0.44) μg/L, (8.52 ± 2.29) eggs vs. (11.15 ± 2.56) eggs, (3.12 ± 0.70) cm 3 vs. (4.50 ± 1.31) cm 3, (8.80 ± 2.14) cm/s vs. (15.80 ± 4.43) cm/s, the differences were statistically significant ( P<0.05). The levels of serum AMH, AFC, OV and PSV in aged > 35 years old group were lower than those in aged ≤35 years old group: (0.64 ± 0.20) g/L vs. (1.71 ± 0.46) μg/L, (8.35 ± 2.68) eggs vs. (12.17 ± 2.79) eggs, (3.05 ± 0.78) cm 3 vs. (5.02 ± 1.26) cm 3, (9.01 ± 3.04) cm/s vs. (17.90 ± 4.19) cm/s, the differences were statistically significant ( P<0.05). Serum AMH level was negatively correlated with age ( r = -0.317, P<0.05), and positively correlated with AFC, OV and PSV ( r = 0.288, 0.326, 0.370, P<0.05). The sensitivity and specificity for the evaluation of low ovarian response by AMH+AFC+OV+PSV were 96.90% and 100.00% respectively. Conclusions:The sensitivity and specificity of serum AMH combined with vaginal color ultrasound for the evaluation of ovarian reserve function in infertility patients are both high.
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LRXs (leucine-rich repeat extensins) are chimeric cell wall proteins containing an N-terminal leucine-rich repeat (LRR) and a C-terminal extensin domain. Increasing evidences suggest that LRXs family genes play important roles in pollen germination and pollen tube growth in Arabidopsis thaliana. However, the functions of rice (Oryza sativa L.) LRX genes in pollen development remain poorly understood. Bioinformatics analysis showed that the rice LRX gene family consist of eight members, namely OsPEX3, OsLRX3 and OsLRX5 located on chromosome 1, OsLRX1, OsLRX3, OsLRX2,OsPEX1 and OsPEX2 located on chromosome 2, 5, 6, 11 and 12, respectively. The OsPEX1 gene is preferentially expressed in rice anther, suggesting that it may be involved in the regulation of pollen development. Next, we further investigated the role of the OsPEX1 gene in rice by knockdown of its expression using an RNAi approach. The OsPEX1 RNAi transgenic lines showed a significant decrease in seed setting rate (10%~30%) due to pollen sterility. Further quantitative RT-PCR analysis indicated that the OsPEX1 gene was significantly down-regulated in the RNAi transgenic lines. The results indicate that the OsPEX1plays an important role in the regulation of rice pollen development. Further studies on this gene could provide insights on the molecular and genetic mechanisms in this developmental process.
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Oryza , Pared Celular/metabolismo , Fertilidad , Regulación de la Expresión Génica de las Plantas , Oryza/genética , Oryza/metabolismo , Proteínas de Plantas/genética , Proteínas de Plantas/metabolismo , Polen/genéticaRESUMEN
肌肉硬度； 竖脊肌； 信度； 康复训练
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Current studies have found that cognitive training has a significant effect on the improvement of training task performance in the elderly, but the training effects are difficult to transfer to untrained cognitive tasks.Recent studies have found that adaptive cognitive training can obtain better transfer effects.This article focuses on the transfer and maintenance effects of adaptive cognitive training; reviews recent research on brain mechanisms related to adaptive cognitive training; analyzes existing problems in the field, and proposes further studies to explore ways for effective implementation of adaptive cognitive training with continuously challenging tasks and to elucidate the cognitive and neural mechanisms related to the transfer effects.
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BackgroundThe first case of COVID-19 atypical pneumonia was reported in Wuhan, China on December 1, 2019. Since then, at least 33 other countries have been affected and there is a possibility of a global outbreak. A tremendous amount of effort has been made to understand its transmission dynamics; however, the temporal and spatial transmission heterogeneity and changing epidemiology have been mostly ignored. The epidemic mechanism of COVID-19 remains largely unclear. MethodsEpidemiological data on COVID-19 in China and daily population movement data from Wuhan to other cities were obtained and analyzed. To describe the transmission dynamics of COVID-19 at different spatio-temporal scales, we used a three-stage continuous-time Susceptible-Exposed-Infectious-Recovered (SEIR) meta-population model based on the characteristics and transmission dynamics of each stage: 1) local epidemic from December 1, 2019 to January 9, 2020; 2) long-distance spread due to the Spring Festival travel rush from January 10 to 22, 2020; and 3) intra-provincial transmission from January 23, 2020 when travel restrictions were imposed. Together with the basic reproduction number (R0) for mathematical modelling, we also considered the variation in infectivity and introduced the controlled reproduction number (Rc) by assuming that exposed individuals to be infectious; we then simulated the future spread of COVID across Wuhan and all the provinces in mainland China. In addition, we built a novel source tracing algorithm to infer the initial exposed number of individuals in Wuhan on January 10, 2020, to estimate the number of infections early during this epidemic. FindingsThe spatial patterns of disease spread were heterogeneous. The estimated controlled reproduction number (Rc) in the neighboring provinces of Hubei province were relatively large, and the nationwide reproduction number - except for Hubei - ranged from 0.98 to 2.74 with an average of 1.79 (95% CI 1.77-1.80). Infectivity was significantly greater for exposed than infectious individuals, and exposed individuals were predicted to have become the major source of infection after January 23. For the epidemic process, most provinces reached their epidemic peak before February 10, 2020. It is expected that the maximum number of infections will be approached by the end of March. The final infectious size is estimated to be about 58,000 for Wuhan, 20,800 for the rest of Hubei province, and 17,000 for the other provinces in mainland China. Moreover, the estimated number of the exposed individuals is much greater than the officially reported number of infectious individuals in Wuhan on January 10, 2020. InterpretationThe transmission dynamics of COVID-19 have been changing over time and were heterogeneous across regions. There was a substantial underestimation of the number of exposed individuals in Wuhan early in the epidemic, and the Spring Festival travel rush played an important role in enhancing and accelerating the spread of COVID-19. However, Chinas unprecedented large-scale travel restrictions quickly reduced Rc. The next challenge for the control of COVID-19 will be the second great population movement brought by removing these travel restrictions.
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COVID-19 has become a pandemic. The influence of meteorological factors on the transmission and spread of COVID-19 if of interest. This study sought to examine the associations of daily average temperature (AT) and relative humidity (ARH) with the daily count of COVID-19 cases in 30 Chinese provinces (in Hubei from December 1, 2019 to February 11, 2020 and in other provinces from January 20, 2020 to Februarys 11, 2020). A Generalized Additive Model (GAM) was fitted to quantify the province-specific associations between meteorological variables and the daily cases of COVID-19 during the study periods. In the model, the 14-day exponential moving averages (EMAs) of AT and ARH, and their interaction were included with time trend and health-seeking behavior adjusted. Their spatial distributions were visualized. AT and ARH showed significantly negative associations with COVID-19 with a significant interaction between them (0.04, 95% confidence interval: 0.004-0.07) in Hubei. Every 1{degrees}C increase in the AT led to a decrease in the daily confirmed cases by 36% to 57% when ARH was in the range from 67% to 85.5%. Every 1% increase in ARH led to a decrease in the daily confirmed cases by 11% to 22% when AT was in the range from 5.04{degrees}C to 8.2{degrees}C. However, these associations were not consistent throughout Mainland China.
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Objectives@#Fitting and forecasting the trend of COVID-19 epidemics.@*Methods@#Based on SEIR dynamic model, considering the COVID-19 transmission mechanism, infection spectrum and prevention and control procedures, we developed SEIR+ CAQ dynamic model to fit the frequencies of laboratory confirmed cases obtained from the government official websites. The data from January 20, 2020 to February 7, 2020 were used to fit the model, while the left data between February 8-12 were used to evaluate the quality of forecasting.@*Results@#According to the cumulative number of confirmed cases between January 29 to February 7, the fitting bias of SEIR+ CAQ model for overall China (except for cases of Hubei province), Hubei province (except for cases of Wuhan city) and Wuhan city was less than 5%. For the data of subsequent 5 days between February 8 to 12, which were not included in the model fitting, the prediction biases were less than 10%. Regardless of the cases diagnosed by clinical examines, the numbers of daily emerging cases of China (Hubei province not included), Hubei Province (Wuhan city not included) and Wuhan city reached the peak in the early February. Under the current strength of prevention and control, the total number of laboratory- confirmed cases in overall China will reach 80 417 till February 29, 2020, respectively.@*Conclusions@#The proposed SEIR+ CAQ dynamic model fits and forecasts the trend of novel coronavirus pneumonia well and provides evidence for decision making.
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Objective:To explore the role of small molecule glycoprotein Serglycin (SRGN) in chemotherapy resistance of non-small cell lung cancer (NSCLC).Methods:In NSCLC H1299 cell line, shRNA technology was used to interfere with the expression of SRGN and establish stable interfering cell line. Western blot and real time fluorescence quantitative polymerase chain reaction (qRT-PCR) were used to verify the knockdown efficiency; MTS was used to detect the knockdown cell line′s drug sensitivity to cDDP and Oxaliplatin; enzyme linked immunosorbent assay (ELISA), Western blot and qRT-PCR were used to explore the effect of transforming growth factor β (TGFβ) on SRGN and vice versa; Western blot was used to detect the effect of SRGN on epithelial-mesenchymal transition (EMT) related molecules, and online data bioinformatics was used to analyze the correlation between SRGN and EMT related molecules expression; in addition, online prognostic analysis software (kmplot) was used to analyze the correlation between SRGN, TGFβ and prognosis of lung cancer patients.Results:Comparing with the control group, the test group, knocking down SRGN can obviously improve the drug sensitivity of NSCLC cell to cDDP ( P=0.032 7) or Oxaliplatin ( P=0.014 2). TGFβ can enhance the experission of SRGN in NSCLC and SRGN also can help TGFβ secreted from cells. SRGN promotes the epithelial mesenchyme transition by modulating Snail1. By analyzing TCGA database, we found that the expression of SRGN was negatively correlated with the expression of CDH1 (coding for Ecadherin protein) ( r=-0.25) and there was a positive correlation with Snai1 expression ( r=0.37). These results suggest that SRGN can promote the change of EMT in lung cancer cells through TGF β 1 and snail 1. The overall survival time of NSCLC patients with low expression of SRGN was much longer than the patients with high expression of SRGN ( P=0.007 7). The overall survival time of NSCLC patient with low expression in both SRGN and TGFβ1 or TGFβ2 was 73months or 42.8 months longer than that with high expression in both SRGN and TGFβ1/2. Conclusions:Intercting with TGFβ1, SRGN promotes EMT of NSCLC cells, which facilitates the chemoresistence of NSCLC. The simultaneous low expression of SRGN and TGFβ1 or TGFβ2 can significantly prolong the overall survival of patients with NSCLC.
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Objective:To study the expression of ubiquilin2 (UBQLN2) in non-small cell lung cancer (NSCLC) and its effect on the proliferation, invasion and metastasis ability of NSCLC cells.Methods:Immunohistochemistry was used to detect the expression of UBQLN2 in NSCLC cancer (24 cases) and adjacent normal tissues (24 cases), and to analyze the relationship between the expression of UBQLN2 and lymph node metastasis of NSCLC cancer. The expression of UBQLN2 in human normal bronchopulmonary epithelial cells and NSCLC cells was detected by real-time quantitative polymerase chain reaction (qRT-PCR)and Western blot; the effect of UBQLN2 on the proliferation of NSCLC cells was detected by lentivirus overexpression technology combined with MTS and EDU experiments in vitro; the effect of UBQLN2 on the invasion and metastasis of NSCLC cells was detected by scratch experiments in vitro and transwell experiments; a dual-fluorescence autophagy flow detection system was constructed by GFP-LC3-RFP-mLC3 plasmid packaging virus and Western blot was used to detect the change of autophagy after overexpression of UBQLN2; TCGA online data was uesd to analyze the expression level of UBQLN2 and lung cancer patients relevance of prognosis. Results:The expression of UBQLN2 in normal lung tissues was significantly higher than that in NSCLC tissues ( P<0.01), and the expression in patients with negative lymph node metastasis was significantly higher than that in patients with positive lymph node metastasis ( P<0.01); the expression of UBQLN2 in NSCLC cells was significantly lower than that in normal lung epithelial cells, and the overexpression of UBQLN2 could inhibit the proliferation and invasion and metastasis of tumor cells. The expression of UBQLN2 was positively correlated with the prognosis of NSCLC. Conclusions:The expression of UBQLN2 is significantly lower in lung cancer tissues and cells, and is negatively correlated with the lymph node metastasis of NSCLC; UBQLN2 can inhibit the proliferation and invasion of NSCLC cells; the expression of UBQLN2 is positively correlated with the prognosis of patients.
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Objective To study the role of leucine rich repeat neuronal 3 (LRRN3) in the prolif-eration of non-small cell lung cancer and its possible mechanism of expression regulation. Methods The expression of LRRN3 in non-small cell lung cancer was detected by real-time quantitative polymerase chain reaction ( qPCR) , immunohistochemistry and bioinformatics retrieval;A lung cancer cell line A549-LRRN3 with stable over-expression of LRRN3 was established by lentivirus over-expression technology;The effect of LRRN3 on the proliferation of non-small cell lung cancer was detected by methyl thiazolyl tetrazolium ( MTT) assay;Bioinformatics search for changes in methylation of LRRN3 promoter region and treatment of lung cancer cells by methyltransferase inhibitors to detect the effect of methylation on the regulation of LR-RN3 expression; Finally, bioinformatics search analyzes the correlation between LRRN3 and lung cancer prognosis. Results The mRNA expression of LRRN3 in clinical tissues of non-small cell lung cancer (n=12) was significantly lower than that of adjacent normal tissues (n=12) (P=0. 0014). The results of immunohistochemistry showed that the protein expression level of LRRN3 in non-small cell lung adenocar-cinoma was lower than that in normal tissues (P=0. 001), and the expression in non-small cell lung squa-mous cell carcinoma was also lower than that in normal tissues (P=0. 003). Overexpression of LRRN3 in-hibited the proliferation of tumor cells (P<0. 01), and the hypermethylation of LRRN3 in the promoter re-gion inhibited its transcriptional expression. LRRN3 was positively correlated with the survival prognosis of lung adenocarcinoma (P=5. 2e-09;HR=0. 48). Conclusions Hypermethylation in the promoter region of LRRN3 inhibits its transcriptional expression, thereby promoting the proliferation of lung cancer cells.
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@#Objective To explore the intra- and inter-rater reliability of shear wave elastography (SWE) for the patellar tendon and quadriceps femoris stiffness.Methods From October to November, 2017, the stiffness of the patellar tendon and quadriceps femoris of 20 healthy men was measured by SWE, and measured again five days later. The results were evaluated with interclass correlation coefficient (ICC).Results For patellar tendon, ICC=0.79 in intra-rater and inter-rater; for rectus femoris, ICC=0.71 in intra-rater and 0.73 in inter-rater; for vastus lateralis muscle, ICC=0.84 in intra-rater and 0.74 in inter-rater; for vastus medialis,ICC=0.95 in intra-rater and 0.94 in inter-rater.Conclusion It is a reliable and repeatable method to measure the stiffness of patellar tendon and quadriceps femoris by SWE.
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Objective To investigate the value of stretched-exponential model of DWI in differential diagnosis of benign and malignant breast lesions.Methods Totally 58 patients with 63 breast lesions (33 benign,30 malignant lesions) were enrolled.All the patients underwent multiple b value DWI and dynamic contrast enhancement MRI (DCE-MRI) scans.The values of ADC,DDC and water molecular diffusion heterogeneity index (α) were calculated,and the time signal intensity curve (TIC) was obtained.All the parameters were compared between benign and malignant breast lesions.The diagnostic performance of different parameters was evaluated with ROC curve.Results ADC,DDC and α value of malignant lesions was (1.01±0.19)×10-3 mm2/s,(0.89±0.23)×10-3 mm2/s and 0.75±0.09,while of benign lesions was (1.41±0.27)× 10-3 mm2/s,(1.49±0.29)× 10-3mm2/s and 0.87±0.07,respectively.All 3 parameters in malignant lesions were lower than those in benign lesions (all P＜0.01).Taking 1.22 × 10-3 mm2/s as the optimal threshold,the area under the curve (AUC) of DDC was the largest as 0.958,and the corresponding diagnostic sensitivity and specificity was 96.67％ and 81.82％,respectively.AUC value was 0.976 by combining DDC with TIC,and the corresponding diagnostic sensitivity and specificity was 93.33％ and 93.94％,respectively.Conclusion The stretched-exponential model DWI can differentiate breast lesions,and diagnostic performance of combination of DDC and TIC is better than ADC or DCE.
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Objective To detect the spatial distribution characteristics of water fluoride in Shandong Province.Methods The county-based study set Shandong Province as a research site.The county level fluoride database was matched with electronic maps to build geographic information system (GIS) spatial data platform.Global Moran's I and Local Moran's I index were calculated,respectively,and the cluster range of water fluoride distribution in Shandong Province was studied through SaTScan software.Results The water fluoride was normal (≤ 1.0 mg/L) in 54 counties in Shandong Province,mainly located in Weihai and Yantai in the eastern,Dongying in northern,and vast region in middle and southeastern of Shandong Province.Eighty-six counties were high water fluoride counties (＞ 1.0 mg/L),mainly distributed in the southwest,northwest and north-central of Shandong Province,showing a significant geographical feature.Global spatial autocorrelation analysis showed that the distribution of water fluoride content in Shandong Province showed significant positive spatial autocorrelation (Moran's I =0.44,Z =6.83,P ＜ 0.01).Local Moran's I analysis showed water fluoride in 13 counties had local spatial autocorrelation,being all high-high clusters.And these results were statistically significant (P ＜ 0.05).A cluster area was detected through SaTScan spatial analysis software,including 15 counties.The center was located in Dongming County of Heze City,with radius of 130.08 km.The results and the local spatial autocorrelation results were basically consistent.Conclusions There are apparent spatial autocorrelation and spatial cluster in water fluoridation in Shandong Province.Spatial autocorrelation and SaTScan software can be combined in exploring the spatial distribution of water fluoride.
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Objective To investigate the antibiotic resistance and resistance genes of carbapenem-resistant Enterobacteriaceaes (CRE) isolated from 5 hospitals in Northeast China.Methods This study collected 85 CRE isolates during January 2013 to June 2015 from five hospitals in Northeast China.Drug sensitivities of 14 antimicrobial agents were determined by the broth microdilution method.The phenotypes of carbapenemases were screened by modified Hodge test and EDTA test respectively.The genotypes of carbapenemases and other extended spectrum β-lactamases (ESBL) were detected by PCR gene amplification and DNA sequencing method.Using the PCR result as gold standard, the performances of other two carbapenemase detection methods were evaluated.Results Among the 85 CRE strains collected in this study, Klebsiella pneumoniae was the most frequently isolated species (61/85,71.8%).The results of antimicrobial agent sensitivity showed that the 85 CRE strains had resistance rate of cephalosporin and β-lactams/enzyme inhibitor (piperacillin-tazobactam) over 80.0%.The resistance rate of carbapenem was high, with ertapenem 100.0% (85/85), meropenem 65.9% (56/85), imipenem 71.8% (61/85).There were 36 isolates resistant to both meropenem and imipenem.For fluoroquinolones, the resistance rates of levofloxacin and ciprofloxacin were 72.9% (62/85) and 65.9% (56/85), respectively.The resistance rate to fosfomycin and amikacin were 65.0% (55/85) and 54.1% (46/85), respectively.The resistance rate of colistin (21.2%, 18/85) and tigecycline (20.5%, 17/85) were low.Forty-nine strains were modified Hodge test positive and 12 strains were EDTA test positive.By PCR gene amplification and DNA sequencing method, 64 strains carried carbapenemase-encoding genes, of which KPC-2 was the main type (53/85, 62.4%), followed by IMP-4 (10/85, 11.8%), NDM-5 (7/85, 8.2%) and NDM-6 (1/85, 1.2%).At the same time, 85 CRE isolates had the ESBL gene detection and 47 isolates were CTX-M type ESBLs (47/85, 55.3%), with no TEM or SHV type.Conclusions Klebsiella pneumoniae is the majority of CRE strains from 5 large hospitals in Northeastern China.The CRE strains are resistant to most of antimicrobials.Most carbapenemases-producing isolates have the KPC-2 type.Nearly half of the carbapenemase-producing strains also carry ESBL genes, which makes the resistance mechanisms more complicated.
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Objective The method for detecting expression of human CDK14 gene with Real-time quantitative PCR was developed.Methods To establish a method for detecting expression of human CDK14 gene with Real-time quantitative PCR by designing and synthesis of the primers of CDK14 target gene andβ-Actin reference gene and extracting total RNA from different lung cancer cell lines.Then the specificity,detection range and repeatability of this method were evaluated.At last,the expression level of CDK14 gene in different cell lines,which were with or without siRNA interference,were carried out by using this method.Results The method for detecting expression of human CDK14 gene with Real-time quantitative PCR,which had good specificity,good repeatability (CV=7.3 ％) and wide detection range (Ct value range of CDK14 and β-Actin amplification curve were 22.47～32.96 and 15.14～ 27.55 respectively,r2 =0.9844),was developed and it was verified by electrophoresis analysis,melting curve,PCR product sequencing.And CDK14 gene expression level,which was detected by this method,increased in HCC827 D5,H1650 and number 1 siRNA segment was effective interference segment.Conclusion The method for detecting expression of human CDK14 gene with Real-time quantitauve PCR was established successfully.
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Objective To explore the technique of maximum entropy model for extracting Oncomelania hupensis snail habi?tats in Poyang Lake zone. Methods The information of snail habitats and related environment factors collected in Poyang Lake zone were integrated to set up the maximum entropy based species model and generate snail habitats distribution map. Two Land?sat 7 ETM+remote sensing images of both wet and drought seasons in Poyang Lake zone were obtained,where the two indices of modified normalized difference water index(MNDWI)and normalized difference vegetation index(NDVI)were applied to ex?tract snail habitats. The ROC curve,sensitivities and specificities were applied to assess their results. Furthermore,the impor?tance of the variables for snail habitats was analyzed by using Jackknife approach. Results The evaluation results showed that the area under receiver operating characteristic curve(AUC)of testing data by the remote sensing?based method was only 0.56, and the sensitivity and specificity were 0.23 and 0.89 respectively. Nevertheless,those indices above?mentioned of maximum en?tropy model were 0.876,0.89 and 0.74 respectively. The main concentration of snail habitats in Poyang Lake zone covered the northeast part of Yongxiu County,northwest of Yugan County,southwest of Poyang County and middle of Xinjian County,and the elevation was the most important environment variable affecting the distribution of snails,and the next was land surface tem?perature(LST). Conclusions The maximum entropy model is more reliable and accurate than the remote sensing?based meth?od for the sake of extracting snail habitats,which has certain guiding significance for the relevant departments to carry out mea?sures to prevent and control high?risk snail habitats.