Objective To study the effect of TGF-?1 on the activation of ERK MAPK in human bronchial epithelial BEP2D cells. Methods Western blot was employed to examine the time-dependent activation of ERK MAPK by TGF-?1. BEP2D cells were harvested after treatment of human bronchial epithelial cells with 2 ng/ml TGF-?1 for 0, 10, 30, 60, 120, 240 and 480 min, respectively. Fluorescent dye staining and flow cytometry were employed to assess the apoptosis of BEP2D cells treated with vehicle, or with 2ng/ml TGF-?1, or co-treated with 2ng/ml TGF-?1 and 5?M U0126. Proliferation of BEP2D cells treated with vehicle, or with 2ng/ml TGF-?1 or 5?M U0126, or co-treated with 2ng/ml TGF-?1 and 5?M U0126 was assayed with colony-forming test, respectively. Morphological observation was performed to observe the morphological changes in BEP2D cells treated with vehicle, or with 5ng/ml TGF-?1 or 5?M U0126, or co-treated with 5ng/ml TGF-?1 and 5?M U0126, respectively. Results TGF-?1 activated ERK MAPK in BEP2D cell. The maximal activation of ERK MAPK took place at 60min after stimulation with 2ng/ml TGF-?1. TGF-?1 treatment effectively inhibited cell proliferation, and induced their apoptosis and epithelial-mesenchymal transition. Pretreatment with U0126, an inhibitor of ERK MAPK, significantly enhanced the TGF-?1-mediated anti-proliferation and apoptosis effects, and inhibited the effect of epithelial-mesenchymal transition of TGF-?1 in BEP2D cells. Conclusion TGF-?1-induced phosphorylation of ERK MAPK may participate in BEP2D cell proliferation and apoptosis regulation.

This study was aimed to explore the impact of activated carbon adsorption modified by different concentrations of nitric acid and ammonia,in order to examine the impact on adsorption of mannotriose by modified activated carbon.The activated carbon was processed by different concentrations of nitric acid and ammonia.And then,the adsorption capacity of benzene,iodine,methylene blue and the purification effects on mannotriose were measured.The results showed that the active carbon modified by nitric acid and ammonia had some changes of adsorptions for methylene blue,iodine and benzene.The purification effect of mannotriose with nitric acid-modified activated carbon was declined.The purification effect of mannotriose with ammonia-modified activated carbon was increased.It was concluded that the pore structure of activated carbon had been changed by nitric acid and ammonia.The adsorption capacity of nitric acid modified active carbon to mannotriose was declined.However,the adsorption capacity of ammonia modified active carbon to mannotriose was increased.It showed that ammonia modified active carbon was suitable for the purification of mannotriose.And the adsorption capacity of iodine reflected the adsorption capacity of mannotriose by active carbon.

Objective:To study the association between the rs2013162 and rs2235375 polymorphisms in IRF6 and risk of NSCL/P in west Chinese population. Methods: The study group consisted of 332 NSCL/P patients, their parents (289 mothers, 243 fathers and 206 complete families), and 174 controls. PCR-RFLP method was used to identify genotypes and both case-parent and case-control designs were carried out on samples from west China. Results: There were significant differences in the frequency distributions of both genotypes and alleles when cases were compared with control infants at the rs2235375(P<0.01, P<0.01 respectively). We found strong evidence of over-transmission of the G allele at rs2235375 in cleft case-parent trios(P<0.01). Five specific haplotypes showed significant over-and under-transmission. Conclusion: These results suggest IRF6 variants play a role in NSCL/P in west Chinese populations.

Objective To investigate the expressions of spleen tyrosine kinase (Syk), c-Jun amino terminal kinase (JNK) and nucleotide binding oligomerization domain-like receptor protein 3 (NLRP3) inflammasome in the heart tissue in SD rat model of diabetic cardiomyopathy, and to explore the relationship between Syk, JNK and NLRP3. Methods Clean male SD rats were randomly divided into the control (Ctrl) group and diabetic cardiomyopathy model (DCM) group. Rats of DCM group were treated with a single intraperitoneal injection of streptozotocin (STZ), while rats of Ctrl group were injected with the same dose of citrate buffer. The random blood glucose level and body weight were monitored every week until 20 weeks after STZ or citrate buffer injection, then all the rats were killed and their hearts were obtained. Rat H 9c2 cardiomyocytes were randomly divided into normal glucose treatment (NG) group, high glucose treatment (HG) group, Syk inhibitor control (BAY) group and Syk inhibitor high glucose (HG+BAY) group. The Syk and JNK phosphorylations and NLRP3 protein expression were detected by Western blot assay in the heart tissue of SD rats and H9c2 cardiomyocytes. The NLRP3, cysteine-containing aspartate specific protease 1(caspase-1) and interleukin (IL)-1β expressions at mRNA level were detected by reverse transcription-polymerase chain reaction (RT-PCR). Results The random blood glucose level was significantly increased (P<0.05) and the body weight was significantly decreased (P<0.05) in DCM group compared with those of Ctrl group. The expressions of cardiac p-Syk, p-JNK and NLRP3 at protein level were significantly increased in DCM group compared with those of Ctrl group (P<0.05). Furthermore, the mRNA levels of NLRP3, caspase-1 and IL-1β were significantly up-regulated (P < 0.05). BAY treatment significantly inhibited the high glucose-induced NLRP3, caspase-1 and IL-1β mRNA expressions and p-JNK, NLRP3 protein expressions in H9c2 cardiomyocytes (P < 0.05). Conclusion JNK phosphorylation and NLRP3 inflammasome activation induced by Syk play an important role in the pathogenesis of diabetic cardiomyopathy.

In this study, the swabs were collected among patients with an influenza-like illness (ILI) admitted to 2 sentinel surveillance hospitals of Yantai from April 2014 to August 2017. All specimen were cultured and identified by hemagglutination inhibition assay. Complete sequences of Hemagglutinin (HA) of influenza A were amplified, sequenced and analyzed using molecular and phylogenetic methods. The potential vaccine efficacy were calculated using Pepitope model. The results showed that the antigenicity of A (H3N2) had changed greatly. 8 strains of influenza A (H1N1) pdm09 belonged to subclade 6B.1 and 14 strains clustered in 6B.2. 12 strains of influenza A (H3N2) fell into subgroup 3C.3a and 33 strains clustered in 3C.2a. Several residues at antigen sites and potential glycosylation sites had changed in influenza A strains. Vaccine efficacy of influenza A (H1N1) pdm09 in 2015/2016 and 2016/2017 seasons were 77.29% and 79.11% of that of a perfect match with vaccine strain, meanwhile vaccine efficacy of influenza A (H3N2) in 2014/2015, 2015/2016 and 2016/2017 were-5.18%, 16.97% and 42.05% separately. In conclusion, the influenza A virus circulated in Yantai from 2014 to 2017 presented continual genetic variation. The recommended vaccine strains still afforded protection against influenza A (H1N1) pdm09 strains and provided suboptimal protection against influenza A (H3N2) strains.

Objective To develop a diagnostic model based on deep neural network for intelligent discrimination of thyroid function. Methods A total of 1616 patients ( 283 males, 1333 females, average age:52 years) who underwent thyroid imaging between May 2016 and June 2018 were selected. According to the clinical diagnosis, the 1616 cases included 299 normal thyroid cases, 876 hyperthyroidism cases and 441 hypothyroidism cases. Feature extraction and learning training were performed on 1000 training set sam-ples by two deep neural network models ( AlexNet;deep convolution generative adversarial networks ( DCGAN) ) using deep learning algorithm. Performance verifications were implemented on 616 test set samples. The con-sistency between the verification results of the two models and the clinical diagnosis was analyzed by Kappa test. Meanwhile, the time advantage of the intelligent diagnosis models was analyzed. Results The average diagnostic time of AlexNet model was 1 s/case, and the classification accuracy for normal thyroid, hyperthy-roidism, hypothyroidism were 82.29％(79/96), 94.62％(369/390), 100％(130/130), respectively. The Kappa value between results of AlexNet model and clinical diagnosis was 0.886 ( P<0.05) . The average di-agnostic time of DCGAN model was 1 s/case, and the classification accuracy for normal thyroid, hyperthy-roidism, hypothyroidism were 85.42％(82/96), 95.64％(373/390), 99.23％(129/130), respectively. The Kappa value between results of DCGAN model and clinical diagnosis was 0.904 ( P<0.05) . Conclusion The deep neural network intelligent diagnosis model can quickly determine the functional status of thyroid gland in thyroid imaging, and it has a high recognition accuracy, thus providing a new method for thyroid image review.

Pilot areas have achieved initial success in capitation reform. On the other hand, challenges remain unsolved in terms of practical pathways, change of national medical insurance management system, related measures, incentives and allocative mechanism for implement of the reform. With the concerning on progress, practice, effects and challenges of typical areas, this article established an institutional framework. On such basis, we propose to design and refine a scheme in terms of 5 aspects, namely strengthening the basic medical care packages′financing, setting contents and standard of the basic medical care packages rationally, establishing effective evaluation system and formulating supporting measures.

Objective:To assess the clinical value of metagenomic next-generation sequencing (mNGS) of cerebrospinal fluid in pathogenic diagnosis of neurological infectious disease.Methods:Patients who were clinically diagnosed with infectious encephalitis and meningitis and treated in Department of Neurology, Affiliated Hospital of Chifeng University from March 2018 to September 2019 were retrospectively analyzed, including the clinical characteristics and data of mNGS and traditional laboratory test of pathogens.Results:Totally 104 patients with infectious encephalitis and meningitis were eligible for enrollment, and mNGS detected 22 bacterial species(22/104,21.15%), 24 viral species (24/104,23.08%), one fungal species (1/104,0.96%), one parasitic species (1/104,0.96%) and one mycoplasma species (1/104,0.96%).The three leading positive detections were varicella-zoster virus ( n=19), streptococcus ( n=7) and Mycobacterium tuberculosis ( n=4). Combined with traditional pathogen detection methods, clinical manifestations, final diagnosis and treatment results, the number of cases diagnosed by mNGS was 49 cases. The positive rate of the mNGS was 47.12% (49/104).False positives occurred in 21 (20.19%) patients. False negatives occurred in 34 (32.69%) patients. Conclusions:mNGS is more sensitive in evaluating the pathogens causing the infectious encephalitis and meningitis. It has advantages in accurate diagnosis of infectious encephalitis and meningitis.

This article reported a case of pyruvate dehydrogenase E1-α deficiency suggested by abnormal brain development during prenatal ultrasound imaging. Prenatal ultrasound revealed a mild enlargement of bilateral cerebral ventricles and the possibility of intracranial hemorrhage in the fetus at 25 +1 weeks of gestation. MRI showed the fetus with absent corpus callosum, enlarged bilateral cerebral ventricles and paraventricular cysts. After genetic counseling and careful consideration, the couple opted for pregnancy termination. To clarify the cause of the disease, whole-exome sequencing was performed on the fetal skin to detect possible variants, and which revealed a frameshift mutation c.924_930dup(p.R311Gfs*5) in exon 10 of the PDHA1 gene. Sanger sequencing confirmed the mutation was a de novo pathogenic variant, indicating that the fetus was affected by pyruvate dehydrogenase E1-α deficiency.