OBJECTIVE: To investigate the mechanism of cytosolic phospholipase A2(cPLA2) inhibitor to improve neurological function after spinal cord injury (SCI). METHODS: Thirty-six 3 months old female SD rats, with body mass (280±20) g, were divided into three groups (n=12):sham group, SCI group, and SCI+ arachidonyl trifluoromethyl ketone(AACOCF3) group. Balloon compression SCI model was established in all three groups. In the sham model group, the spinal cord compression model was created after the balloon was placed without pressure treatment, and the remaining two groups were pressurized with the balloon for 48 h. After successful modeling, rats in the SCI+AACOCF3 group were injected intraperitoneally with AACOCF3, a specific inhibitor of cPLA2. The remaining two groups of rats were injected intraperitoneally with saline. The animals were sacrificed in batches on 7 and 14 days after modeling, respectively. And the damaged spinal cord tissues were sampled for pathomorphological observation, to detect the expression of cPLA2 and various autophagic fluxPrelated molecules and test the recovery of motor function. RESULTS: Spinal cord histomorphometry examination showed that the spinal cord tissue in the sham group was structurally intact, with normal numbers and morphology of neurons and glial cells. In the SCI group, spinal cord tissue fractures with large and prominent spinal cord cavities were seen. In the SCI+AACOCF3 group, the spinal cord tissue was more intact than in the SCI group, with more fused spinal cord cavities, more surviving neurons, and less glial cell hyperplasia. Western blot showed that the sham group had the lowest protein expression of LC3-Ⅱ, Beclin 1, p62, and cPLA2 compared with the SCI and SCI+AACOCF3 groups (P<0.05) and the highest protein expression of LC3-Ⅰ (P<0.05). P62 and cPLA2 expression in the SCI group were higher than in the SCI+AACOCF3 group (P<0.05). Behavioral observations showed that the time corresponding to BBB exercise scores was significantly lower in both the SCI and SCI+AACOCF3 groups than in the sham group (P<0.05). Scores at 3, 7, and 14 days after pressurization were higher in the SCI+AACOCF3 group than in the SCI group (P<0.05). CONCLUSION cPLA2 inhibitors can reduce neuronal damage secondary to SCI, promote neurological recovery and improve motor function by improving lysosomal membrane permeability and regulating autophagic flux.
Female ; Animals ; Rats ; Rats, Sprague-Dawley ; Neuroprotective Agents/pharmacology* ; Spinal Cord Injuries/drug therapy* ; Spinal Cord Compression

Even though the combined use of ultrasound (US) and alpha-fetoprotein (AFP) is recommended for the surveillance of hepatocellular carcinoma (HCC), the utilization of AFP has its challenges, including accuracy dependent on its cut-off levels, degree of liver necroinflammation, and etiology of liver disease. Though various studies have demonstrated the utility of protein induced by vitamin K absence II (PIVKA-II) in surveillance, treatment monitoring, and predicting recurrence, it is still not recommended as a routine biomarker test. A panel of 17 experts from Asia-Pacific, gathered to discuss and reach a consensus on the clinical usefulness and value of PIVKA-II for the surveillance and treatment monitoring of HCC, based on six predetermined statements. The experts agreed that PIVKA-II was valuable in the detection of HCC in AFP-negative patients, and could potentially benefit detection of early HCC in combination with AFP. PIVKA-II is clinically useful for monitoring curative and intra-arterial locoregional treatments, outcomes, and recurrence, and could potentially predict microvascular invasion risk and facilitate patient selection for liver transplant. However, combining PIVKA-II with US and AFP for HCC surveillance, including small HCC, still requires more evidence, whilst its role in detecting AFP-negative HCC will potentially increase as more patients are treated for hepatitis-related HCC. PIVKA-II in combination with AFP and US has a clinical role in the Asia-Pacific region for surveillance. However, implementation of PIVKA-II in the region will have some challenges, such as requiring standardization of cut-off values, its cost-effectiveness and improving awareness among healthcare providers.

Animals ; Genomics ; Humans ; Serogroup ; Streptococcal Infections ; Streptococcus suis/isolation & purification* ; Swine ; Swine Diseases

Based on the similar structure of adrenaline shared by higenamine (HI), salsolinol (SA) and coryneine (CO), a photochemical colorimetric sensor based on the displacement reaction of o-diphenol hydroxyl group and alizarin red S-phenylboric acid system was constructed to quickly distinguish and identify the cardiac strength of Shengfupian. The results show that the optimal condition of the sensor is: the molar ratio of alizarin red S (ARS) to phenylboric acid (PA) is 1∶3, reaction temperature is 0 ℃; The preparation method of the sample solution is optimized as follows: 2.5 g of Shengfupian powder was taken, 10 times the amount of methanol was added, and 300 W, 40 kHz ultrasound was carried out for 15 min; methodological studies showed that the method had good precision, repeatability and stability. The |△G| value (G is green, |△G| = |G after - G before|) of each sample was obtained by response values determination of 14 batches of Shengfupian. LC-MS/MS was used to determine the contents of three cardiac components in Shengfupian. It was found that the order of the total contents of cardiotonic components was basically consistent with |△G|. Then the correlation was analyzed, and the correlation coefficient R² was as high as 0.87, which proved the scientificity and accuracy of this method. This study fills the methodological gap of rapid evaluation of the quality of Shengfupian, and provides the key technical support for the high quality and good price of Shengfupian in the market circulation and clinical application.

Objective:To explore the characteristics of local brain neural activity in post stroke aphasia (PSA) patients in different frequency bands and the relationship between Western Aphasia Battery (WAB) scores and specific frequency bands. Methods:From March, 2015 to May, 2018, 15 PSA patients, and 15 healthy adults as controls matched for age, gender and education were recruited. They were assessed with WAB and scaned with resting-state functional magnetic resonance imaging. The amplitude of low-frequency fluctuation (ALFF) and fractional amplitude of low-frequency fluctuation (fALFF) on the frequency bands of 0.01-0.08 Hz, 0.027-0.073 Hz, and 0.01-0.027 Hz were calculated. The ALFF and fALFF in different frequency bands were extracted and the correlation with the WAB scores in the patients were analyzed. Results:On 0.01-0.08 Hz, ALFF increased in the right precentral gyrus in the patients. On 0.027-0.073 Hz, ALFF increased values in the right precentral gyrus, and fALFF decreased in the right cerebellar Crus2 region; fALFF in the right cerebellar Crus2 region negatively correlated with the scores of information content (r = -0.576, P = 0.025), auditory comprehension (r = -0.658, P = 0.008), repetition (r = -0.616, P = 0.014) and aphasia quotient (r = -0.611, P = 0.016) of WAB. On 0.01-0.027 Hz, the fALFF decreased in the left inferior parietal limbic gyrus, and positively correlated with the scores of information content (r = 0.538, P = 0.039) and aphasia quotient (r = 0.526, P = 0.044). Conclusion:Resting-state fALFF abnormalities in PSA patients are frequency-dependent, which associate with some frequency-specific neurofunctional alterations.

BACKGROUND: The current deep learning diagnosis of breast masses is mainly reflected by the diagnosis of benign and malignant lesions. In China, breast masses are divided into four categories according to the treatment method: inflammatory masses, adenosis, benign tumors, and malignant tumors. These categorizations are important for guiding clinical treatment. In this study, we aimed to develop a convolutional neural network (CNN) for classification of these four breast mass types using ultrasound (US) images. METHODS: Taking breast biopsy or pathological examinations as the reference standard, CNNs were used to establish models for the four-way classification of 3623 breast cancer patients from 13 centers. The patients were randomly divided into training and test groups (n = 1810 vs. n = 1813). Separate models were created for two-dimensional (2D) images only, 2D and color Doppler flow imaging (2D-CDFI), and 2D-CDFI and pulsed wave Doppler (2D-CDFI-PW) images. The performance of these three models was compared using sensitivity, specificity, area under receiver operating characteristic curve (AUC), positive (PPV) and negative predictive values (NPV), positive (LR+) and negative likelihood ratios (LR-), and the performance of the 2D model was further compared between masses of different sizes with above statistical indicators, between images from different hospitals with AUC, and with the performance of 37 radiologists. RESULTS: The accuracies of the 2D, 2D-CDFI, and 2D-CDFI-PW models on the test set were 87.9%, 89.2%, and 88.7%, respectively. The AUCs for classification of benign tumors, malignant tumors, inflammatory masses, and adenosis were 0.90, 0.91, 0.90, and 0.89, respectively (95% confidence intervals [CIs], 0.87-0.91, 0.89-0.92, 0.87-0.91, and 0.86-0.90). The 2D-CDFI model showed better accuracy (89.2%) on the test set than the 2D (87.9%) and 2D-CDFI-PW (88.7%) models. The 2D model showed accuracy of 81.7% on breast masses ≤1 cm and 82.3% on breast masses >1 cm; there was a significant difference between the two groups (P < 0.001). The accuracy of the CNN classifications for the test set (89.2%) was significantly higher than that of all the radiologists (30%). CONCLUSIONS: The CNN may have high accuracy for classification of US images of breast masses and perform significantly better than human radiologists. TRIAL REGISTRATION Chictr.org, ChiCTR1900021375; http://www.chictr.org.cn/showproj.aspx?proj=33139.
Area Under Curve ; Breast/diagnostic imaging* ; Breast Neoplasms/diagnostic imaging* ; China ; Deep Learning ; Humans ; ROC Curve ; Sensitivity and Specificity

Child ; Hepatic Artery ; Humans ; Liver ; Liver Transplantation/adverse effects* ; Living Donors ; Retrospective Studies ; Thrombosis/etiology*

Nine new compounds, including five natural rarely-occurring 2, 3-dihydro-1H-indene derivatives named diaporindenes E-I (1-5), and four new benzophenone analogues named tenellones J-M (6-9) were isolated from the deep-sea sediment-derived fungus Phomopsis lithocarpus FS508. All the structures for these new compounds were fully characterized on the basis of spectroscopic data, NMR spectra, and ECD calculation and single-crystal X-ray diffraction analysis. The potential anti-tumor activities of compounds 1-9 against four tumor cell lines SF-268, MCF-7, HepG-2, and A549 were evaluated using the SRB method. Compound 7 exhibited cytotoxic activity against the SF-268 cell line with an IC
Antineoplastic Agents/pharmacology* ; Cell Line, Tumor ; Crystallography, X-Ray ; Fungi ; Molecular Structure ; Phomopsis

Objective: Using yeast surface presentation technology, secreted anti-PD-L1 single-chain antibody fragment ( sc Fv), then purify the sc Fv that specifically binds PD-L1 antigen. The sc Fv antibody gene sequence was synthesized based on the single chain antibody gene sequence. We express this sc Fv-mFc protein by using p Fuse eukaryotic expression vector to study its affinity and in vitro and in vivo inhibition of lung adenocarcinoma cells ( A549). Methods: Recombinant plasmid p Fuse-scFv was constructed by gene engineering. The recombinant plasmid p Fuse-scFv was transfected into 293 F ( human embryonic kidney cells) and cultured in serum-free Pro293 a-CDM for 72 hours, then the fusion protein was collected, and use the Rapid Protein Liquid Phase Separation and Purification System to purify the sc Fv-mFc fusion protein. Then the fusion protein and the tumor cells were detected by immunohistochemistry; the affinity of fusion protein and tumor cells was analyzed by flow cytometry; ADCC was used to determine the proliferation of tumor cells in vitro. The nude mice inoculated with lung adenocarcinoma cells, and use the fusion protein to verify its anti-tumor effect in vivo. Results: sc Fv-mFc fusion protein was secreted into serum-free culture medium by recombinant plasmid transfection into the 293 F cells; immunohistochemistry and flow cytometry showed that the fusion protein was highly expressed with the surface of PD-L1 protein;ADCC showed that the fusion protein inhibited the proliferation of tumor cells in vitro; the results of tumor-bearing mice showed that the fusion protein inhibited the growth of the tumor. At the dose of 5 mg/kg, The tumor volume growth rate decreased from 14. 90％ to3. 72％, the two independent samples t test P＜0. 05, the difference was statistically significant. Conclusion: The fusion protein containing single chain antibody was successfully prepared, which had good binding ability to A549 cells and inhibited the proliferation of tumor cells in vitro and in vivo, and provided the laboratory basis for the development of targeted anti-tumor drugs.

Xiaojin pills, the first choice for clinical treatment of breast hyperplasia, were selected to explore the suitability of a bioactivity assay with chemical fingerprinting for the development of an overall quality evaluation assay. The liposoluble and water-soluble fraction fingerprints of Xiaojin pills were established. The ability to inhibit platelet aggregation and the rate of inhibition of cyclooxygenase-2 (COX-2) for 16 batches of Xiaojin pills from several manufacturers was analyzed; the chemical fingerprints of these samples were correlated with the bioactivity and chemical analysis. The animal protocol was approved by the Committee on the Ethics of Animal Experiments of Affiliated Hospital of Chengdu University of Traditional Chinese Medicine Approval, ID: 2018BL-002. Results showed that the antiplatelet aggregation activity of 16 batches was 0.712-1.278 U∙mg^-1, with a relative standard deviation (RSD) of 15.4%. COX-2 inhibition was 52.07%-68.95% and the RSD was 8.91%. The results showed that there was little difference in the biological effects of these samples. However, the chemical fingerprint consistency of these 16 batches of Xiaojin pills was poor, and the similarity of nearly half of the samples was less than 0.9. The total peak area of Xiaojin pills was 32.74%-165.37% across samples, showing very poor chemical consistency. In order to explore the reasons for the poor chemical consistency despite good consistency in the biological assays, the fingerprint chromatogram was analyzed by multivariate statistical analysis. The main chromatographic peaks were identified. The results showed that the similarity of Xiaojin pills was mainly determined by the prominent chromatographic peaks 17, 18, 20, 23 and 27 in the liposoluble fingerprints, which were identified from Liquidambaris resina and Angelica sinensis Radix. However, Liquidambaris resina and Angelicae sinensis Radix had almost no anti-platelet aggregation activity or COX-2 inhibitory effect at the normal prescription ratio. As a result, the ability to utilize chemical fingerprints to evaluate the quality consistency of Xiaojin pills is limited. The selection of biological evaluation methods that reflect clinical efficacy could make up for the shortcomings of chemical evaluation methods for quality assessment, and provide new ideas and methods for the overall quality evaluation of complex Chinese patent medicines.