1.Expression of Toll-like receptor 4 and protein of PI3 K/AKT signal pathway in cervical lesion and their relationship with HPV 16 infection
Haiyan SHI ; Yanli ZUO ; Qirui LIN ; Qiaozhi LI ; Weiwei HU
Chinese Journal of Clinical and Experimental Pathology 2014;(11):1232-1236
Purpose To explore the expression of Toll-like receptor 4 (TLR4), PI3K, AKT and NF-κB in cervical lesions, and to in-vestigate their association with human papillomavirus ( HPV) 16 infection. Methods Immunohistochemical SP staining was performed to detect the expression of TLR4, PI3K, AKT, NF-κB in paraffin-embedded cervical tissue specimens from Uighur women with chroni-cal cervicitis, cervical intraepithelial neoplasia ( CIN) and cervical squamous cell carcinoma ( CSCC) . The HPV 16 DNA was detected by PCR. Results The positive expression rates of TLR4, PI3K, AKT, NF-κB in chronical cervicitis, CIN and cervical cancer were 32. 0%, 59. 4%, 77. 8%, 28. 0%, 56. 3%, 73. 0%, 24. 0%, 56. 3%, 79. 4%, and 8. 0%, 48. 4%, 81. 0%, respectively. The expression of them was higher in cervicitis than in CIN and cevical cancer ( P<0. 05 ) . The positive expression rates of HPV 16 in three groups were 8. 0%, 48. 4% and 81. 0% (P<0. 05). The expression of TLR4, PI3K, NF-κB and HPV 16 was related to cervi-cal cancer differentiation (P<0. 05). PI3K and AKT were significantly correlated with FIGOs’ stages (P<0. 05). NF-κB was corre-lated with lymph node metastasis. The expression of TLR4 was significantly associated with HPV 16 infection in CIN and CSCC ( r=0. 303, P=0. 015, r=0. 633, P=0. 000), and correlation with PI3K in CIN and CSCC (r=0. 254, P=0. 045, r=0. 386, P=0. 003). PI3K was associated with AKT only in CSCC (r=0. 298, P=0. 018). Conclusions The expression of TLR4 can be up-regulated by HPV 16 infection. High expression of PI3K/AKT signal pathway mediated by TLR4 may play important roles in the devel-opment and progression of CIN and CSCC, and HPV 16 infection may be a trigger factor affecting the molecular signal pathway.
2.Clinical study of idiopathic left ventricular tachycardia in infants and young children
Qirui LI ; Yue YUAN ; Qin WANG ; Li LIN ; Lu GAO ; Wei SHAO
Chinese Pediatric Emergency Medicine 2015;22(8):554-557
Objective To analyze the clinical manifestations,diagnosis and treatment of idiopathic left ventricular tachycardia(ILVT)in infants and young children.Methods The clinical data,including manifestations,lab results and treatments of 37 cases of ILVT in infants and young children were analyzed retrospectively.Results ILVT were seen more in young children older than 1 year old and male infants.A total of 37 cases with ILVT showed diverse clinical manifestations,5 children had cardiac insufficiency with oliguria and edema,2 children had syncope.There were 8 children without any symptoms,and 22 children had some symptoms,which mainly included agitation and crying,weakness and sweaty,vomitting and pale com-plexion.Holter showed incessant ILVT in 20 cases(54.1%),and paroxysmal in 17 cases(45.9%).Of the 37 cases,9 cases presented tachycardia-induced cardiomyopathy(TIC),8 of them were secondary to the in-cessant ILVT.Children with TIC compared with those without TIC,the ventricular rate were faster[(206.2 ± 38.7)beats/min vs.(171.8 ±38.7)beats/min,P<0.05],the duration were longer[(22.6 ± 15.3)days vs. (9.8 ±6.0)days,P<0.05].A total of 34 cases were given by antiarrhythmic drugs,verapamil was higher effective in reversion to sinus rhythm.Radiofrequency ablations were conducted in 8 cases,resulting in ven-tricular tachycardia elimination.All of children were fine during following up periods.After successful control of tachycardia,left ventricular end-diastolic diameter and left ventricular ejection fraction in patients with TIC gradually recovered[(35.4 ± 7.2 )mm vs.(28.9 ± 5.6 )mm,P <0.05;(46.7 ± 4.0 )% vs.(70.1 ± 1 .5 )%,P<0.0 1 ] .Conclusion ILVT in infants and young children are rare,and present different manifes-tions.An incessant ILVT with faster ventricular rate and longer duration are more frequently complicated by TIC.Radiofrequency ablation is the effective way of radical cure of the disease.The diagnosis and treatment for the tachycardia are particularly important in early time,and the prognosis are good.
3.Study of blood pressure variability in children with H-type hypertension
Yanyan LIU ; Yao LIN ; Yang LIU ; Tong ZHENG ; Yaqian CUI ; Yue YUAN ; Lu GAO ; Qirui LI ; Lin SHI
Chinese Journal of Applied Clinical Pediatrics 2021;36(13):995-998
Objective:To summarize characteristics and rules of blood pressure variability (BPV) in children with H-type hypertension, in an attempt to explore some basis for further selection of the time points of treatment.Methods:A total of 117 children diagnosed as essential hypertension in Children′s Hospital Affiliated to Capital Institute of Pediatrics from March 2018 to September 2019 were selected as the research objective.According to the serum level of homocysteine (Hcy), those children were divided into the simple essential hypertension group (74 cases, Hcy≤13.9 μmol/L) and the H-type hypertension group (43 cases, Hcy>13.9 μmol/L). All children received 24 h ambulatory blood pressure monitoring (24 h ABPM), and BPV indexes were recorded and subject to group comparison.Meanwhile, the serum Hcy level was monitored.Besides, the demographic data and such blood biochemical indexes as blood glucose, blood fat and renal function were recorded or measured for an analysis of the correlation between BPV and each index.Results:There were no significant differences in gender, age, body mass index (BMI) and biochemical indexes between the simple essential hypertension group and the H-type hypertension group (all P>0.05). Compared with the simple essential hypertension group, the H-type hypertension group had a significantly higher 24 h systolic blood pressure standard deviation [24 h SSD, (11.21±3.23) mmHg vs.(9.64±2.73) mmHg, 1 mmHg=0.133 kPa, t=-2.806, P<0.05], nighttime systolic blood pressure standard deviation [nSSD, (10.79±3.89) mmHg vs.(9.26±3.23) mmHg, t=-2.292, P<0.05], and nighttime diastolic blood pressure standard deviation [nDSD, (10.23±3.53) mmHg vs.(8.73±2.93) mmHg, t=-2.617, P<0.05]. Pearson correlation analysis showed that the serum Hcy level was significantly positively correlated with 24 h, SSD, nSSD and nDSD ( r=0.194, 0.183, 0.182, all P<0.05). Conclusions:24 h SSD in children with H-type hypertension is significantly higher, with an obvious increase in both nSSD and nDSD, and the serum Hcy level was significantly positively correlated with BPV, which suggested that it was required to effectively control the serum Hcy level, reduce the range of blood pressure fluctuation and select the optimal time points of treatment, thus delaying the progress of hypertension.
4.Value of multi-label learning MRI model assisting radiological diagnosis of sports injury in knee
Guang LIN ; Qirui ZHANG ; Yuexiang LI ; Jianrui LI ; Jingru HAO ; Qiang XU ; Kai MA ; Guangming LU ; Zhiqiang ZHANG
Chinese Journal of Radiology 2021;55(11):1191-1196
Objective:To construct a multi-label learning MRI model for assisting diagnosis of sports injury in knee.Methods:A total of 1 391 knee MRI cases from 1 343 young adults with sports injury in Affiliated Jinling Hospital Nanjing University School of Medicine were retrospectively enrolled. The image cases were randomly divided into training set ( n=973), validation set ( n=139) and test set ( n=279) with ratio of 7∶1∶2. The knee injuries were divided into six categories: meniscus injury, tendon injury, ligament injury, osteochondral injury, synovial bursa disorder and soft tissue injury. Using PyTorch V1.1.0 algorithm package, the Yolo model of deep learning was used to construct the MRI knee joint sports injury detection model. The model was validated on the test set, and the sensitivity, specificity and mean average precision of lesion detection were evaluated. Results:Among the 279 patients in test set, the mean average precision of meniscus injury, tendon injury, ligament injury, osteochondral injury, synovial bursa disorder and soft tissue injury were 83.1%, 89.0%, 88.0%, 85.8%, 85.5% and 83.2%, respectively, and the overall mean average precision was 85.8%. The model was most effective in detecting tendon injury. The sensitivity and specificity of the model for tendon injury were 91.2% and 87.1% respectively.Conclusions:The multi-label MRI knee joint exercise-related injury detection model based on deep learning can effectively assist in detecting the exercise-related injury of knee joint in each tissue structure, and is expected to improve the efficiency of diagnosis and treatment in orthopedics.