OBJECTIVETo assess the changes of neurobehavioral function in a neonatal mouse model of excitotoxic brain damage.

METHODSFifty-five 5-day-old ICR neonatal mice were randomly assigned to three groups: blank (no intravenous) control (n=20), saline control (n=20) and excitotoxic brain damage model (ibotenic acid treatment, n=15). Behavioral function was evaluated by the surface righting reflex test (postnatal days 6-10), the swimming test (postnatal days 8-12) and the Y-maze discrimination learning test (postnatal days 33-34).

RESULTSRighting time in the surface righting reflex test in the ibotenic acid treatment group on postnatal days 6-10 was more prolonged than that in the two control groups (p<0.05). Swimming test scores in the ibotenic acid treatment group were significantly lower than those in the two control groups (p<0.05). In the Y-maze discrimination learning test, the mice from the ibotenic acid treatment group performed significantly worse than two control groups, presenting with increased learning times (19.79+/-2.42 vs 16.29+/-2.48 or 16.30+/-2.37; p<0.05) and achieving a lower correct percentage (86.7% vs 96.5% or 95.0%) (p<0.05).

CONCLUSIONSThe developmental reflexes and learning and memory functions were impaired in neonatal mice following excitotoxic brain damage. Behavioral testing is useful in the evaluation of early developmental reflexes and long-term neurobehavioral outcome in neonatal mice with excitotoxic brain damage.

Animals ; Animals, Newborn ; Behavior, Animal ; drug effects ; Brain ; drug effects ; Excitatory Amino Acid Agonists ; toxicity ; Female ; Ibotenic Acid ; toxicity ; Male ; Maze Learning ; drug effects ; Mice ; Mice, Inbred ICR ; Swimming

OBJECTIVETo investigate the role of the expression of ephrinB2 and EphB4 in non-small cell lung cancer (NSCLC), and their relationship with multi-slice spiral CT pulmonary perfusion imaging.

METHODSThirty-one nodules with pathologically proven NSCLC underwent CT perfusion scan. The perfusion parameters including blood flow (BF), blood volume (BV), peak enhancement image (PEI) were collected. The expression of ephrinB2 and EphB4 in tumor cells and interstitial vasculature were detected by immunohistochemistry. Correlation analysis and trend test were used to assess the relationship between ephrinB2/EphB4 expression and clinicopathological features, and between ephrinB2/EphB4 expression and perfusion parameters.

RESULTSPositive expression of ephrinB2 and EphB4 in the NSCLC group was 83.9% and 71.0%, respectively, significantly higher than that in the internal control group (P < 0.01). The expression of ephrinB2 and EphB4 was consistently in tumor parenchyma but differently in tumor vessels. The expressions of ephrinB2 and EphB4 were positively correlated with lymphatic metastasis (P < 0.05). The expression of EphB4 was negatively correlated with blood flow (BF) and blood volume (BV), respectively (P < 0.05). There was a significant positive correlation between ephrinB2 expression and BF (r = 0.516, P = 0.003), and a positive correlation between ephrinB2 expression and BV (r = 0.448, P = 0.013). The expressions of ephrinB2 and EphB4 were not correlated with PEI (P > 0.05). The values of BF and BV in the high and moderate EphB4 expression groups were significantly decreased compared with that in the negative group (P < 0.01). The value of BF in the high ephrinB2 expression group was significantly increased compared with that in the moderately positive group and negative group (P < 0.01). The value of BV in the high ephrinB2 expression group was significantly increased compared with that in the negative group (P < 0.01).

CONCLUSIONThe CT pulmonary perfusion imaging reflects the density difference of blood vessels with functional lumen, and such difference also depends on the quantity and quality of vasculature with functional lumen.

Adult ; Aged ; Blood Volume ; Carcinoma, Non-Small-Cell Lung ; blood supply ; diagnostic imaging ; metabolism ; pathology ; physiopathology ; Ephrin-B2 ; metabolism ; Female ; Humans ; Lung Neoplasms ; blood supply ; diagnostic imaging ; metabolism ; pathology ; physiopathology ; Lymphatic Metastasis ; Male ; Middle Aged ; Perfusion Imaging ; Pulmonary Circulation ; Receptor, EphB4 ; metabolism ; Tomography, Spiral Computed ; methods

OBJECTIVETo investigate the prevalence of childhood asthma, and to find the distribution characteristics, precipitating factors, diagnosis and treatment status, and to provide scientific data for improving the prevention and management of asthma in children in Kunming City, China.

METHODSChildren were selected by random cluster sampling. A standardized preliminary questionnaire was used for screening out possible patients in the survey. Diagnosis of asthma was confirmed by diagnostic criteria in suspected asthmatic children. Asthmatic children were further asked for past diagnosis and treatment with the questionnaire of asthma in children.

RESULTSThe total asthma incidence rate was 1.40%. The prevalence of asthma in male and female children was 1.89% and 0.88% respectively (P<0.05). Children aged 0-5 years old had a higher prevalence of asthma (1.69%) than that of school-age children (6-14 years old, 1.21%). In all asthmatic children, 51.3% were previously diagnosed with classical asthma or cough variant asthma, 26.0% were suffered attacks from December to February, and 54.0% were suffered attacks at midnight or dawn. Respiratory tract infection (87.3%) was the most common triggers of asthma exacerbation. Antibiotics were used in 80.0%, bronchodilators in 66.0%, inhaled corticosteroid in 64.0%. A peak flow meter for monitoring lung function was used in 17% of asthmatic children over 5 years old.

CONCLUSIONSThe prevalence of asthma is associated with age and gender in children aged 0-14 years old in Kunming City. Acute asthma attack occurs mostly in winter and at midnight or dawn. Respiratory tract infection is the most common trigger of asthma exacerbation. Nearly a half of patients with asthma had not been diagnosed with asthma in the early stage. Most asthmatic children use antibiotics and only two-thirds use bronchodilators or inhaled corticosteroid in the treatment. The treatment and management of asthma in children awaits improvement as well.

Adolescent ; Asthma ; drug therapy ; epidemiology ; etiology ; Child ; Child, Preschool ; China ; epidemiology ; Female ; Humans ; Infant ; Infant, Newborn ; Male ; Prevalence ; Seasons

OBJECTIVEInterleukin-4 plays a key role in the development of asthma. Overseas studies have shown that Q576R polymorphism in the interleukin-4 receptor (IL-4R) gene is related to asthma as well as increased serum IgE levels. This study was designed to investigate the association of Q576R polymorphism in IL-4R gene with childhood asthma and serum IgE levels.

METHODSThe polymorphism of IL-4R Q576R was determined by PCR/RFLP and serum total IgE level was measured using ELISA in 94 children with asthma. Sixty-eight healthy children served as controls.

RESULTSThe distribution frequency of heterozygous genotype Q576R (41%) and mutant allele R576 (26%) was significantly higher in children with asthma than that of controls (16% each) (P < 0.01; P < 0.05). The total serum IgE level between patients with genotype Q576R and Q576Q was not significantly different (225.78 +/- 51.43 IU/mL vs 163.24 +/- 31.32 IU/mL, P> 0.05).

CONCLUSIONSThe mutant R576 allele of IL-4R may be one of the candidate genes for susceptibility to asthma. Allele R576 of IL-4R is related to asthma but is irrelevant to the total serum IgE level in children with asthma.

Adolescent ; Asthma ; genetics ; immunology ; Child ; Child, Preschool ; Female ; Humans ; Immunoglobulin E ; blood ; Male ; Polymorphism, Genetic ; Receptors, Interleukin-4 ; genetics

OBJECTIVETo investigate the correlation between blood flow assessed by CT perfusion imaging and characteristics of microvascular ultrastructure in non-small cell lung cancer (NSCLC).

METHODStwenty-eight patients with non-small cell lung cancer proven surgically and pathologically underwent perfusion CT examination. The patients were divided into a hyper-perfusion group and a hypo-perfusion group by the median value of blood flow, and then the differences of microvascular ultrastructure in the two groups were analyzed.

RESULTSThe median BF value of the 28 patients was 36.40 ml×100 g(-1)×min(-1). Take this median value as the boundary, the group with hypo-perfusion showed a significantly lower BF value than the group with hyper-perfusion [(30.84 ± 4.79) ml×100 g(-1)×min(-1) vs. (49.67 ± 10.89) ml×100 g(-1)×min(-1), t = -5.925, P < 0.001]. The group with lymph node metastasis showed a significantly lower BF value than the group without lymph node metastasis [(30.78 ± 5.24) ml×100 g(-1)×min(-1) vs. (50.73 ± 11.16) ml×100 g(-1)×min(-1), t = 3.490, P = 0.015]. The maturity of microvessels of the hyper-perfusion group was higher than that of the hypo-perfusion group. Under the electron microscope, the microvessels in the hypo-perfusion group showed a more narrow lumen, poorer integrity of basement membrane, a more close relationship between cancer cells and microvascular wall, and cancer cells were more easily seen in the microvascular lumen.

CONCLUSIONThe blood flow value of CT perfusion imaging may be related with the abnormal microvascular ultrastructure, and may be helpful to the prediction of metastasis risk in NSCLC.

Adult ; Aged ; Carcinoma, Non-Small-Cell Lung ; blood supply ; diagnostic imaging ; metabolism ; pathology ; Female ; Follow-Up Studies ; Humans ; Lung Neoplasms ; blood supply ; diagnostic imaging ; metabolism ; pathology ; Lymphatic Metastasis ; Male ; Microvessels ; diagnostic imaging ; ultrastructure ; Middle Aged ; Neoplasm Metastasis ; Perfusion Imaging ; Tomography, Spiral Computed ; Vascular Endothelial Growth Factor A ; metabolism

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.