Objective To explore the effect of resilience in the relationship between workplace bullying （WPB） and professional identity among nursing interns. Methods A total of 292 nursing interns from six grade A hospitals were selected as the research subjects using convenience sampling method. The WPB，professional identity，resilience，perceived stress and coping styles were investigated by the Negative Acts Questionnaire Revised， the Professional Identity Questionnaire for nurse students，the Chinese version of 10-item Connor-Davidson Resilience Scale，the Chinese Perceived Stress Scale and the Simplified Coping Style Questionnaire. Results The scores of WPB and perceived stress were negatively correlated with those of professional identity，resilience，and positive coping styles（PCS）［Spearman correlation coefficients（rS ）were −0.354，−0.316，−0.388，−0.488，−0.636 and −0.478，all P<0.01］. There was a negative correlation between negative coping styles（NCS）and professional identity（rS =−0.117，P=0.046）. The scores of resilience and professional identity were positively correlated with that of PCS（rS were 0.539 and 0.482，both P<0.01）. There was a positive correlation between resilience and professional identity （rS =0.567，P<0.01）. The scores of WPB and perceived stress were positively correlated with that of NCS（rS were 0.350 and 0.281，both P<0.01）. There was a positive correlation between WPB and perceived stress（rS =0.419，P<0.01）. The scores of resilience and PCS were not correlated with that of NCS（both P>0.05）. Resilience played a mediating role between WPB and professional identity. The interaction between WPB and NCS could predict the professional identity and resilience of nursing interns（standardized regression coefficient were 0.31 and 0.17，both P<0.01）. Conclusion WPB can directly or indirectly affect nursing interns’professional identity through resilience，and NCS plays a moderating role on the direct effect of WPB and professional identity，and the relationship between WPB and resilience.

Objective To establish a Loop-mediated Isothermal Amplification (LAMP) for Pseudomonas aeruginosa rapid detection. Method 152 P. aeruginosa strains isolated from nasal swabs and 30 reference strains were applied. P. aeruginosa ATCC15442 was used to develop LAMP amplification and evaluate sensitivity and specificity. Results Sensitivity of LAMP was 103 times higher than PCR, with DNA amount as 132 fg. When LAMP was applied to 30 reference strains and 152 P. aeruginosa strains , the specification was 100% while iden-tification rate reached 94.7%. Conclusion The establishment LAMP showed a promising prospect in P. aerugi-nosa rapid detection.

Objective To investigate the correlation between chronic hepatic diseases and small intestinal inflammation.Methods Patients who received capsule endoscopy in The First Affiliated Hospital of Guangdong Pharmaceutical University were divided into groups of liver cirrhosis,non-alcoholic fatty liver disease(NAFLD),chronic hepatitis and non-hepatic disease according to clinic data from August 2011 to August 2015.The severity of small intestinal mucosal inflammation was graded according to Lewis Scoring system and incidence of small intestinal lesions in different groups and Lewis scores were compared.The liver function was also graded with liver noninvasive scoring systems.Then the correlation between liver function damage and small intestinal lesions was investigated.Results A total of 338 cases were enrolled in the study,including 25 cases of liver cirrhosis,47 cases of NAFLD,20 cases of chronic hepaitis and 246 cases of non-hepatic disease.There were 22 (88.0％),36 (76.6％),12 (60.0％) and 78 (31.7％) cases with lesions in small intestine in the four group respectively with significant differences(P＜0.001).Rate of small intestinal villi edema was significantly higher in liver cirrhosis group,NAFLD group,chronic hepatitis group than that in non-hepatic disease group(all P＜0.017).Small intestinal villi edema was found mainly in the upper and one third of middle parts in small intestine (P =0.033).Lewis scores of liver cirrhosis group (190.80±228.42)and NAFLD group(125.38± 191.31) were higher than those of non-hepatic disease group (42.91±97.69,P=0.021,P =0.034).Forns score,FIB-4 score,NAFLD-FS score and Child-Pugh score were positively correlated with Lewis score (correlation coefficient:0.247,0.244,0.223,0.284respectively,all P＜0.001).Conclusion Chronic hepatic diseases such as liver cirrhosis,NAFLD,chronic hepatitis might be risk factors for small intestinal mucosal inflammation,and the severity of chronic hepatic diseases may be positively correlated with that of small intestinal mucosal lesions.

Objective To analyze the effect of siRNA targeting MIF( MIFsiRNA) on the growth of colorectal cancer xenografts and the life quality of tumor-bearing mice.Methods BALB/C mouse model carring colorectal cancer was established.Thirty mice were divided into three groups randomly and managed respectively with intratumor injection of DEPC water, MIFsiRNA(0.15 nmol/g) and non-specific siRNA (0.15 nmol/g), respectively twice a week for consecutively 4 weeks.Drinking water, fodder consumed and body weight was recorded daily, and tumor volume was measured once a week.Mice were sacrificed after four weeks.ELISA and immunohistochemistry were used to detect the expression of MIF in serum and in tumor tissues.Spectrophotometric detection was used to detect caspase-3 protein.TUNEL was used to detect apoptotic cells.Results MIF expression in serum in MIFsiRNA group was lower than the other two groups [(22 ± 6) ng/ml vs (32 ± 8) ng/ml and (33 ± 8) ng/ml, P ＜ 0.01]; MIF expression in tissues was less than the other two groups [(85 ± 20) /500 vs.(423 ± 23) /500 and (442 ± 31) /500, P ＜ 0.01]; Tumor was smaller than the other two groups at third and fourth week (P ＜ 0.01) ; Tumor weight was significantly less than the other two groups [(1.93 ±0.21) g vs (4.40 ±0.30) g and (5.25 ±0.44) g, P＜0.01]; Mice in MIFsiRNA group were healthier than the other two groups as judged by water and fodder consumption (P ＜ 0.01 ) , while weight change was not significantly different among the three groups ( P ＞ 0.05 ).Caspase-3 protein in tissues was higher than the other two groups [(0.74 ±0.06) μg vs (0.57 ±0.08) μg and (0.56 ±0.02) μg, P ＜0.01]; Apoptosis cells in tissues were higher than the other two groups [(12 ± 2)/ 100 个vs 0 and 0, P ＜ 0.01].Conclusions Knockdowning MIF gene expression inhibits the growth of colorectal cancer xenografts and improves life quality of tumor-bearing mice, possibly by a mechanism in which MIFsiRNA activates caspase-3 promoting cell apoptosis.

Objective To evaluate the effect of strengthening nutrition intervention in gravidas with gestational diabetes mellitus (GDM) with WeChat on blood glucose control and pregnant outcomes.Methods A total of 410 gravidas,diagnosed with GDM and treated in the Department of Clinical Nutrition of Shanghai General Hospital from October 2015 to April 2016,were enrolled and randomly divided into two groups (n=205).The control group received traditional nutrition clinic education only,while the intervention group was given strengthened nutrition education through WeChat in addition to traditional education.Blood glucose level and insulin dosage were followed up after one,two and four weeks of intervention.Pregnant outcomes and patient satisfaction were investigated on 42 d after delivery.T test,Chi-square test and non-parametric test were used for statistical analysis.Results (1) Two weeks after the intervention,the average 1-hour postprandial blood glucose in the intervention group was lower than in the control group [(7.46± 1.01) vs (7.68± 1.06) mmol/L,t=2.243,P=0.025].After 4 weeks,both 1-and 2-hour postprandial blood glucose levels of the intervention group were lower than those of the control group [(7.03±0.65) vs (7.33±0.63) mmol/L,t=4.629,P＜0.05;(6.00±0.65) vs (6.21 ±0.62) mmol/L,t=3.153,P＜0.05] and more gravidas achieved euglycemia [79.9％ (151/189) vs 60.8％ (113/186),x2=16.483,P＜0.001].(2) Compared with the control group,the intervention group had a higher vaginal delivery rate [38.7％ (72/186) vs 50.5％ (95/188),x2=5.288,P=0.021] and a lower rate of postpartum complications [9.1％ (17/186) vs 2.1％ (4/188),x2=7.394,P=0.007].All of the gravidas in the intervention group were satisfied with the WeChat intervention except one lost to follow up [99.5％ (203/204)].Conclusions Strengthening nutrition education through WeChat is much more effective than traditional nutritional outpatient education alone in order to achieve a better control of blood glucose and improve pregnant outcomes in GDM women.This intervention is highly acceptable to gravidas and can be further extensively applied in nutrition clinic.

We detected Zika virus (ZIKV) in a febrile case returning from Suriname and entry China from Guangzhou Baiyun International Airport Port.Serum and saliva samples were collected from a suspected case returning from Suriname.We detected ZIKV RNA using real-time fluorescence RT-PCR methods by both in-house reagent and commercial detection kits.RT-PCR detection was carried out with saliva sample and sequence analysis was performed.Phylogenetic tree was constructed to analyze the source of imported cases.Real-time fluorescent RT-PCR result showed that saliva was detected ZIKV RNA positive while for serum was weakly positive.A specific 1 500 bp fragment in size was amplified with saliva sample by RT-PCR.Sequence analysis showed 99％ homologous to the corresponding sequence of Brazil ZIKV (GenBank No.KX197250).Phylogenetic tree indicated it was located on African lineage.According to the epidemiological investigation results,clinical manifestations and nucleic acid detection of case,the suspected case was confirmed to infect Zika virus,being the first case from Suriname into Guangdong Province.

Objective:To explore the common pathogenic gene mutation in non-syndromic craniosynostosis in Chinese population.Methods:Patients with non-syndromic craniosynostosis were recruited in Huashan Hospital Affiliated to Fudan University from March 2018 to December 2020. A clinical questionnaire was designed to collect the general information of the patients. The gene panel was designed by entering the keywords craniosynostosis and gene panel in PubMed, extracting all relevant literature from January 1995 to May 2017. The gene library was sequenced on the Illumina HiSeq X platform, and bioinformatic analysis and pathogenic analysis were performed.Results:A total of 237 literatures were reviewed in the PubMed and Ovid databases, and the total sample was 3375 patients, of which 1822 cases (54%) were detected with corresponding mutations, involving 21 pathogenic genes. Based on the mutation detection rate of not less than 0.4%, 12 genes were selected in the gene panel: FGFR2, TWIST1, FGFR3, EFNB1, FGFR1, SKI, POR, RAB23, TCF12, MSX2, SMAD3 and ERF. A total of 109 patients with non-syndromic craniosynostosis were recruited in this study, including 62 males and 47 females; the average age was 2.1 years old. All participants denied family history. The average age at childbearing of father was 28.3 years old and of mother was 26.7 years old. 14 different pathogenic/ probable pathogenic mutation loci were found in the gene sequences of 19 patients. The mutation rate was 17.4%. The 14 mutation varients were distributed in 5 genes (FGFR2, TWIST1 , TCF12, EFNB1 , and FGFR3) . The 14 mutations can be classified into 5 missense mutations, 3 nonsense mutations, 1 splice mutation, 1 frameshift mutation and 4 in-frame deletion mutations, 11 of which have not been reported. These 11 novel mutations were mainly concentrated in two genes, TWIST1 and TCF12. The mutation types included: 3 loss-of-function, 4 frameshift deletions, 3 missense mutations, and 1 frameshift insertion, of which 7 were de novo mutation.Conclusions:TWIST1 and TCF12 are common pathogenic genes in Chinese patients with non-syndromic craniosynostosis.

Objective:To explore the common pathogenic gene mutation in non-syndromic craniosynostosis in Chinese population.Methods:Patients with non-syndromic craniosynostosis were recruited in Huashan Hospital Affiliated to Fudan University from March 2018 to December 2020. A clinical questionnaire was designed to collect the general information of the patients. The gene panel was designed by entering the keywords craniosynostosis and gene panel in PubMed, extracting all relevant literature from January 1995 to May 2017. The gene library was sequenced on the Illumina HiSeq X platform, and bioinformatic analysis and pathogenic analysis were performed.Results:A total of 237 literatures were reviewed in the PubMed and Ovid databases, and the total sample was 3 375 patients, of which 1 822 cases (54%) were detected with corresponding mutations, involving 21 pathogenic genes. Based on the mutation detection rate of not less than 0.4%, 12 genes were selected in the gene panel: FGFR2, TWIST1, FGFR3, EFNB1, FGFR1, SKI, POR, RAB23, TCF12, MSX2, SMAD3 and ERF. A total of 109 patients with non-syndromic craniosynostosis were recruited in this study, including 62 males and 47 females; the average age was 2.1 years old. All participants denied family history. The average age at childbearing of father was 28.3 years old and of mother was 26.7 years old. Fourteen different pathogenic/probable pathogenic mutation loci were found in the gene sequences of 19 patients. The mutation rate was 17.4%(19/109). The 14 mutation varients were distributed in 5 genes (FGFR2, TWIST1, TCF12, EFNB1, and FGFR3). The 14 mutations can be classified into 5 missense mutations, 3 nonsense mutations, 1 splice mutation, 1 frameshift mutation and 4 in-frame deletion mutations, 11 of which have not been reported. These 11 novel mutations were mainly concentrated in two genes, TWIST1 and TCF12. The mutation types included: 3 loss-of-function, 4 frameshift deletions, 3 missense mutations, and 1 frameshift insertion, of which 7 were de novo mutation.Conclusions:TWIST1 and TCF12 are common pathogenic genes in Chinese patients with non-syndromic craniosynostosis.

Objective:To explore the common pathogenic gene mutation in non-syndromic craniosynostosis in Chinese population.Methods:Patients with non-syndromic craniosynostosis were recruited in Huashan Hospital Affiliated to Fudan University from March 2018 to December 2020. A clinical questionnaire was designed to collect the general information of the patients. The gene panel was designed by entering the keywords craniosynostosis and gene panel in PubMed, extracting all relevant literature from January 1995 to May 2017. The gene library was sequenced on the Illumina HiSeq X platform, and bioinformatic analysis and pathogenic analysis were performed.Results:A total of 237 literatures were reviewed in the PubMed and Ovid databases, and the total sample was 3375 patients, of which 1822 cases (54%) were detected with corresponding mutations, involving 21 pathogenic genes. Based on the mutation detection rate of not less than 0.4%, 12 genes were selected in the gene panel: FGFR2, TWIST1, FGFR3, EFNB1, FGFR1, SKI, POR, RAB23, TCF12, MSX2, SMAD3 and ERF. A total of 109 patients with non-syndromic craniosynostosis were recruited in this study, including 62 males and 47 females; the average age was 2.1 years old. All participants denied family history. The average age at childbearing of father was 28.3 years old and of mother was 26.7 years old. 14 different pathogenic/ probable pathogenic mutation loci were found in the gene sequences of 19 patients. The mutation rate was 17.4%. The 14 mutation varients were distributed in 5 genes (FGFR2, TWIST1 , TCF12, EFNB1 , and FGFR3) . The 14 mutations can be classified into 5 missense mutations, 3 nonsense mutations, 1 splice mutation, 1 frameshift mutation and 4 in-frame deletion mutations, 11 of which have not been reported. These 11 novel mutations were mainly concentrated in two genes, TWIST1 and TCF12. The mutation types included: 3 loss-of-function, 4 frameshift deletions, 3 missense mutations, and 1 frameshift insertion, of which 7 were de novo mutation.Conclusions:TWIST1 and TCF12 are common pathogenic genes in Chinese patients with non-syndromic craniosynostosis.

Objective:To explore the common pathogenic gene mutation in non-syndromic craniosynostosis in Chinese population.Methods:Patients with non-syndromic craniosynostosis were recruited in Huashan Hospital Affiliated to Fudan University from March 2018 to December 2020. A clinical questionnaire was designed to collect the general information of the patients. The gene panel was designed by entering the keywords craniosynostosis and gene panel in PubMed, extracting all relevant literature from January 1995 to May 2017. The gene library was sequenced on the Illumina HiSeq X platform, and bioinformatic analysis and pathogenic analysis were performed.Results:A total of 237 literatures were reviewed in the PubMed and Ovid databases, and the total sample was 3 375 patients, of which 1 822 cases (54%) were detected with corresponding mutations, involving 21 pathogenic genes. Based on the mutation detection rate of not less than 0.4%, 12 genes were selected in the gene panel: FGFR2, TWIST1, FGFR3, EFNB1, FGFR1, SKI, POR, RAB23, TCF12, MSX2, SMAD3 and ERF. A total of 109 patients with non-syndromic craniosynostosis were recruited in this study, including 62 males and 47 females; the average age was 2.1 years old. All participants denied family history. The average age at childbearing of father was 28.3 years old and of mother was 26.7 years old. Fourteen different pathogenic/probable pathogenic mutation loci were found in the gene sequences of 19 patients. The mutation rate was 17.4%(19/109). The 14 mutation varients were distributed in 5 genes (FGFR2, TWIST1, TCF12, EFNB1, and FGFR3). The 14 mutations can be classified into 5 missense mutations, 3 nonsense mutations, 1 splice mutation, 1 frameshift mutation and 4 in-frame deletion mutations, 11 of which have not been reported. These 11 novel mutations were mainly concentrated in two genes, TWIST1 and TCF12. The mutation types included: 3 loss-of-function, 4 frameshift deletions, 3 missense mutations, and 1 frameshift insertion, of which 7 were de novo mutation.Conclusions:TWIST1 and TCF12 are common pathogenic genes in Chinese patients with non-syndromic craniosynostosis.