Objective:To construct and identify a plasmid vector of short interfering RNA(siRNA) on pneumocystis carinii(PC) major surface glycoprotein(MSG) gene.Methods:Short hairpin RNA(shRNA) oligonucleotide targeting PC MSG gene which was chemically synthesized and inserted into RNAi-Ready plasmid vector pTZU6+1 after annealing.the recombinant plasmid, pPC-MSG,transgormed into E.coil.TOP10 and amplified,was digested by restriction endonucleases HindⅢand EcoRⅠand identified by gelelectrophoresis and DNA sequencing.Results:Gel electrophoresis and DNA sequencing showed that the recombinant plasmid containing the correct and full shRNA oligonucleotide.Conclusion:The siRNA plasmid,pPC-MSG was constructed successfully.

Objective To investigate the effect of airway lavage on patients with inhalation injury.Methods Sixty patients in our department with simple inhalation injury were divided into experimental group(n=30)and control group(n=30).The control group accepted traditional nursing care(aspiration of sputum,aerosol inhalation,backslap and body position adjusting) and the experimental group accepted timed airway lavage and necessary ventilator-assisted breathing in addition to traditional nursing.The arterial blood gas value(PaO2,PaCO2),rate of sputum crab plugging and lung infection were compared.Result The lung function, SpO2 and PaO2 significantly increased and rate of sputum crab plugging and lung infection significantly decreased in experiment group (P<0.05).Conclusion Airway lavage can clear sputum crab in time,improve lung fuction and reduce lung infection of patients with inhalation injury.

Objective To explore the curative effect of Uvb radiation treatment on inflammation of radioactive oral mucosa and summarize nursing points. Methods Seventy patients with oral mucositis after radiotherapy for head and neck cancer were randomly divided into experiment group and control group, 35 in each group: The experiment group was treated by shortwave ultraviolet intracavitary irradiation and the control group, mouthwash by silver, 3 times a day, observing two groups of therapeutic effect after 3 d. Results The total effective rate of the observation group was statistically better higher than that of control group ( P < 0 . 05 ) . Conclusion Short-wave ultraviolet radiation is effective in the treatment of inflammation of radioactive oral cavity mucous membrane.

OBJECTIVETo study the effect of the volatile oil from nutmeg on liver microsomal cytochrome P450 in mice.

METHODMice were administered the volatile oil from nutmeg at 0.4, 0.8 and 1.2 mg x g(-1), respectively, twice a day for 10 days. And then, the contents of liver microsomal cytochrome P450 (CYP), cytochrome b5 (Cytb5), MDA and GST in serum were examined by UV chromatography method.

RESULTThe contents of liver CYP, Cytb5 and GST in serum were increased significantly (P < 0.01) and the contents of MDA was reduced significantly (P < 0.01).

CONCLUSIONThe volatile oil from nutmeg showed induction effect on the hepatic microsomal CYP in mice.

Animals ; Cytochrome P-450 Enzyme System ; metabolism ; Cytochromes b5 ; metabolism ; Drugs, Chinese Herbal ; pharmacology ; Female ; Gene Expression Regulation, Enzymologic ; Male ; Mice ; Microsomes, Liver ; drug effects ; enzymology ; Myristica fragrans ; chemistry ; Oils, Volatile ; pharmacology ; Plant Oils ; pharmacology

Objective To investigate the morbidity, diagnostic profile and perinatal outcome of pregestational diabetes mellitus (PGDM) in 15 hospitals in Guangdong province. Methods A total of 41338 women delivered in the 15 hospitals during the 6 months,195 women with PGDM(PGDM group) and 195 women with normal glucose test result(control group)were recruited from these tertiary hospitals in Guangdong province from January 2016 to June 2016. The morbidity and diagnostic profile of PGDM were analyzed. The complications during pregnancy and perinatal outcomes were compared between the two groups. In the PGDM group, pregnancy outcomes were analyzed in women who used insulin treatment (n=91) and women who did not (n=104). Results (1)The incidence of PGDM was 0.472%(195/41338). Diabetes mellitus were diagnosed in 59 women (30.3%, 59/195) before pregnancy, and 136 women (69.7%,136/195) were diagnosed as PGDM after conceptions. Forty-six women (33.8%) were diagnosed by fasting glucose and glycohemoglobin (HbA1c) screening. (2) The maternal age, pre-pregnancy body mass index (BMI), prenatal BMI, percentage of family history of diabetes, incidence of macrosomia, concentration of low density lipoprotein were significantly higher in PGDM group than those in control group (all P<0.05). Women in PGDM group had significantly higher HbA1c concentration((6.3±1.3)% vs (5.2±0.4)%), fasting glucose [(6.3±2.3) vs (4.8±1.1) mmol/L], oral glucose tolerance test(OGTT)-1 h glucose((12.6±2.9) vs (7.1± 1.3) mmol/L)and OGTT-2 h glucose [(12.0±3.0) vs (6.4±1.0) mmol/L] than those in control group (P<0.01). (3)The morbidity of preterm births was significantly higher (11.3% vs 1.0%, P<0.01), and the gestational age at delivery in PGDM group was significantly smaller [(37.6±2.3) vs (39.2±1.2) weeks, P<0.01]. Cesarean delivery rate in the PGDM group (70.8% vs 29.7%) was significantly higher than the control group (P<0.01). There was significantly difference between PGDM group and control in the neonatal male/female ratio (98/97 vs 111/84, P=0.033). The neonatal birth weight in PGDM group was significantly higher((3159±700) vs (3451±423) g, P<0.01). And the incidence of neonatal hypoglycemia in the PGDM group was higher than the control group (7.7% vs 2.6%, P=0.036).(4)In the PGDM group, women who were treated with insulin had a smaller gestational age at delivery [(36.9±2.9) vs (37.9±2.5) weeks, P<0.01], and the neonates had a higher neonatal ICU(NICU)admission rate (24.2% vs 9.6% , P<0.01). Conclusions The morbidity of PGDM in the 15 hospitals in Guangdong province is 0.472%. The majority of PGDM was diagnosed during pregnancy; HbA1c and fasting glucose are reliable parameters for PGDM screening. Women with PGDM have obvious family history of diabetes and repeated pregnancy may accelerate the process of diabetes mellitus. Women with PGDM have higher risk for preterm delivery and neonatal hypoglycemia. Unsatisfied glucose control followed by insulin treatment may increase the need for NICU admission.

Objective:To explore the effects of the fat mass and obesity-associated gene(FTO)on apoptosis and the inflammatory response of chondrocytes in osteoarthritis(OA).Methods:Differences in FTO expression between normal human cartilage tissue samples and OA cartilage tissue samples were examined.Primary OA chondrocytes were isolated and cultured, and a rat OA model was constructed.The expression of FTO was detected in clinical, animal and cellular samples.Cells were treated with an FTO knockdown lentivirus vector(sh-FTO)and an m 6A methylation inhibitor(cycloleucine). The amount of m 6A and the expression levels of inflammatory cytokines, interleukin-6(IL-6)and tumor necrosis factor-α(TNF-α), were detected.Flow cytometry was used to detect apoptosis in OA chondrocytes, and Western blot was used to detect the expression levels of B-cell lymphoma 2(Bcl-2)and Bcl-2-associated X protein(Bax). Results:Compared with the normal control group, FTO mRNA and protein expression in human OA cartilage tissue, rat OA cartilage tissue and OA chondrocytes was significantly increased(all P<0.05). After FTO knockdown, the level of m 6A increased, the levels of IL-6 and TNF-α decreased considerably, the apoptosis rate decreased, the expression of the proapoptotic protein Bax decreased considerably, and the expression of Bcl-2 increased considerably in primary OA chondrocytes.However, cycloleucine intervention clearly reduced the level of m6A, increased the levels of IL-6 and TNF-α, promoted cell apoptosis and the expression of apoptosis-related proteins, and reversed the effect induced by the FTO knockdown lentivirus in OA chondrocytes(all P<0.05). Conclusions:FTO may be involved in mechanisms related to the action of m 6A to promote OA chondrocyte apoptosis and the inflammatory response, thus accelerating the progression of OA.

Background Diagnosis of pneumoconiosis by radiologist reading chest X-ray images is affected by many factors and is prone to misdiagnosis/missed diagnosis. With the rapid development of artificial intelligence in the field of medical imaging, whether artificial intelligence can be used to read images of pneumoconiosis deserves consideration. Objective Three deep learning models for identifying presence of pneumoconiosis were constructed based on deep convolutional neural network. An optimal model was selected by comparing diagnostic efficiency of the three models. Methods Digital radiography (DR) chest images were collected between June 2017 and December 2020 from 7 hospitals and standard radiograph quality control protocol was also followed. The DR chest images with positive results were classified into the positive group, while those without pneumoconiosis were classified into the negative group. The collected chest radiographs were labeled by experts who had passed the assessment of reading radiographs,and the experts were constantly assessed for consistency in the labeling process based on an expectation-maximization algorithm. The labeled data were cleaned, archived, and preprocessed, and then were grouped into a training set and a verification set. Three deep convolutional neural network models TMNet, ResNet-50, and ResNeXt-50 were constructed and trained by ten-fold cross-validation method to obtain an optimal model. Five hundred cases of DR chest radiographs that were not included in the training set and the validation set were collected, and identified by five senior experts as the gold standard, named the test set. The accuracy rate, sensitivity, specificity, area under curve (AUC), and other indexes of the three models were derived after testing, and the efficiency of the three models was evaluated and compared. Results A total of 24867 DR chest radiographs of the training set and the validation set were collected in this study, including 6978 images in the positive group and 17889 images in the negative group. There were 312 cases of pulmonary abnormalities such as pneumothorax and pulmonary tuberculosis. A total of nine experts labeled the chest radiographs, the labeling consistency rate of pneumoconiosis (non-staging) was above 88%, and the labeling consistency rate of pneumoconiosis staging ranged from 84.68% to 93.66%. The diagnostic accuracy, sensitivity, specificity, and AUC of TMNet were 95.20%, 99.66%, 88.61%, and 0.987, respectively. The indicators of ResNeXt were 87.00%, 89.93%, 82.67%, and 0.911, respectively. Those of ResNet were 84.00%, 85.91%, 81.19%, and 0.912, respectively. All these indexes of TMNet were higher than those of ResNeXt-50 and ResNet-50 models. The AUC differences between TMNet and the other two models were both statistically significant (P<0.001). Conclusion All the three convolutional neural network models can effectively diagnose the presence of pneumoconiosis, among which TMNet provides the best efficiency.

BACKGROUND: Currently, the effect of the 2022 nationwide coronavirus disease 2019 (COVID-19) wave on the perioperative prognosis of surgical patients in China is unclear. Thus, we aimed to explore its influence on postoperative morbidity and mortality in surgical patients. METHODS: An ambispective cohort study was conducted at Xijing Hospital, China. We collected 10-day time-series data from December 29 until January 7 for the 2018-2022 period. The primary outcome was major postoperative complications (Clavien-Dindo class III-V). The association between COVID-19 exposure and postoperative prognosis was explored by comparing consecutive 5-year data at the population level and by comparing patients with and without COVID-19 exposure at the patient level. RESULTS: The entire cohort consisted of 3350 patients (age: 48.5 ± 19.2 years), including 1759 females (52.5%). Overall, 961 (28.7%) underwent emergency surgery, and 553 (16.5%) had COVID-19 exposure (from the 2022 cohort). At the population level, major postoperative complications occurred in 5.9% (42/707), 5.7% (53/935), 5.1% (46/901), 9.4% (11/117), and 22.0% (152/690) patients in the 2018-2022 cohorts, respectively. After adjusting for potential confounding factors, the 2022 cohort (80% patients with COVID-19 history) had a significantly higher postoperative major complication risk than did the 2018 cohort (adjusted risk difference [aRD], 14.9% (95% confidence interval [CI], 11.5-18.4%); adjusted odds ratio [aOR], 8.19 (95% CI, 5.24-12.81)). At the patient level, the incidence of major postoperative complications was significantly greater in patients with (24.6%, 136/553) than that in patients without COVID-19 history (6.0% [168/2797]; aRD, 17.8% [95% CI, 13.6-22.1%]; aOR, 7.89 [95% CI, 5.76-10.83]). Secondary outcomes of postoperative pulmonary complications were consistent with primary findings. These findings were verified through sensitivity analyses using time-series data projections and propensity score matching. CONCLUSION: Based on a single-center observation, patients with recent COVID-19 exposure were likely to have a high incidence of major postoperative complications. REGISTRATION NCT05677815 at https://clinicaltrials.gov/ .
Female ; Humans ; Adult ; Middle Aged ; Aged ; Cohort Studies ; COVID-19/complications* ; Pandemics ; Retrospective Studies ; Postoperative Complications/epidemiology*