A new UPLC method was developed for the simultaneous determination of eleven characteristic flavonoid glycosides in Ginkgo biloba leaves. The natural occurrence of flavonoid glycosides in Ginkgo biloba leaves within one vegetative season was investigated for the first time. The analysis was performed on an Agilent ZORBAX Eclipse Plus C18 column (50 mm x 4.6 mm, 1.8 microm), the mobile phase A was acetonitrile, the mobile phase B was 0.4% phosphate aqueous solution in a gradient elution at a flow rate of 0.6 mL x min(-1), the detection was carried out at 360 nm. The result showed that eleven flavonoid glycosides had good linearity with good average recovery, separately. The method was proved to be accurate, rapid and good reproducible for the quality evaluation of Ginkgo biloba leaves, and provide an easy and rapid means for the quantitative analysis of flavonoid glycosides and their content fluctuation with seasons.

OBJECTIVETo establish a quantitative method with precolumn derivatization for determining the contents of six common amino acids in Banlangen Keli by UPLC.

METHODUsing 6-acetamido-4-hydroxy-2-methyl quinoline as the derivating agent, we determined the contents of arginine, threonine , alanine, gamma aminobutyric acid, proline, and valine. The UPLC analysis was performed on a Waters AccQ Tag TM Ultra C18 column (2.1 mm x 100 mm, 5 microm) with mobile phase AccQ Tag Ultra Eluent A and AccQ Tag Ultra Eluent B gradient elution at a flow rate of 0.7 mL x min(-1). The column temperature was 55 degrees C and detection wavelength was 260 nm.

RESULTThe linear ranges of arginine, thremine, alanine, gamma aminobutyric acid, proline, and valine were 4. 15549.86 microg (r = 0.999 9), 0.595-5.95 microg (r = 0.999 8), 0.445-4.45 microg (r = 0. 999 9), 0.515-5. 15 pg (r = 0.999 9), 8.858-106.3 microg (r = 0.999 9) , 0.585-5. 85 microg (r = 0.999 8). Their average recoveries were 100.6%, 98.35%, 100.2%, 98.44%, 98.34%, 98.18% with RSD 1.8%,1.9%, 2.0%, 2.4%, 1.5% and 2.0%, respectively (n = 6). The contents of amino acids were different in samples from five productive enterprises.

CONCLUSIONThe method is efficient, good reproducible, sensitive, and accurate.

Tuberculosis(TB) caused by the Mycobacterium tuberculosis(Mtb) is a worldwide public health threat.Microbiota in body affects human health and is involved in human diseases, and its clinical importance is begi-nning to be understood.In this review, studies on the relationship between the establishment of Mtb infection and microbiota as well as the development and antibiotic treatment of Mtb infection were discussed.Studies have shown that: (1) microbiota influences the establishment of Mtb infection; (2) co-infection of Helicobacter pylori alters susceptibility to Mtb infection and progression of active TB; (3) microbiota influences the progression of TB by regulating the nutritio-nal, metabolic and immune status of the host; (4) susceptibility to reinfection increases in TB patients treated with antibiotics, possibly due to T-cell epitope depletion of common intestinal non-Mtb Mycobacterium, the effects of antibio-tics are long-term in patients; (5) the occurrence of childhood TB is age-related and many factors such as co-infection and vaccine inoculation increase risk.An in-depth study of the relationship between the microbiota and TB will provide a new perspective on the prevention of TB.

Objective:To explore the effect of Xingnao Kaiqiao acupuncture treatment on brain network reorganization for the patients with stroke recovery, and therefore understand the neural mechanism underlying Xingnao Kaiqiao acupuncture treatment.Methods:Prospective case series study. Thirteen acute ischemia stroke patients were recruited from the Department of Neurology, Shanghai Minhang Hospital of Integrated Traditional Chinese and Western Medicine from Aug 2018 to Oct 2019. They were treated with Xingnao Kaiqiao acupuncture once a day for 10 consecutive days in addition to routine treatments, and received clinical assessments before treatment and 14 days after treatment onset. EEG signals were recorded during the first acupuncture treatment, from before inserting the needles (the baseline), during needle retention, to after removal of the needles. The brain network was constructed using phase locking index, and its clustering coefficient (CC), characteristic path length (PL) and small-worldness (S) were analyzed using one-way repeated ANOVA.Results:Compared with the baseline, the CC of delta-band network (sparsity=0.10: t=3.306, P=0.006; 0.12: t=2.909, P=0.013; 0.14: t=2.331, P=0.038) and the PL of delta-band (sparsity=0.12: t=3.236, P=0.007; 0.14: t=2.754, P=0.017, 0.18: t=2.878, P=0.014) and alpha-band (sparsity=0.10: t=2.432, P=0.032) networks were significantly decreased during the needle retention stage. Clinical assessments demonstrated a significant treatment efficacy of Xingnao Kaiqiao acupuncture, and its efficacy which was indicated by improved NIHSS score, was significantly correlated with the CC changes in the delta band network from baseline to needle retention. The correlation was strongest when the network sparsity was 0.12 ( r=0.78, P=0.002). Conclusion:Xingnao Kaiqiao acupuncture can regulate the brain network of stroke patients in real time, and this immediate regulation maybe associated with its treatment effect.

Objective:To investigate the characteristics of senile neurodegenerative diseases (NDDs) inpatients in south China, especially in Guangdong province, and explore the influencing factors for their medical expenses.Methods:The medical records of 7231 patients with NDDs≥65 years were collected in the electronic health database of our hospital from January 2010 to December 2019, including gender, age, admission ways, chief complaints, length of hospital stays and medical expenses. On the basis of median of the medical expenses (21 345 yuan) of these patients, they were divided into low cost (<21 345 yuan) group and high cost (≥21 345 yuan) group. Univariate Logistic analysis and multivariate Logistic regression analysis were conducted to screen the influencing factors for medical expenses and the independent influencing factors.Results:(1) The main age group of geriatric inpatients with NDDs were 70-79 years (40.96%); the admission source was mainly outpatient (56.70%), and length of hospital stays of a large percent of patients (44.50%) were 8-14 d. (2) From 2010 to 2019, the number of hospitalized geriatric patients with NDDs showed an increasing trend year by year, the overall trend of length of hospital stays was shortened, and the medical expenses showed gradual increase; the causes of hospitalization, percentages of patients caused by infection, abnormal blood pressure and water-electrolyte metabolism disturbances showed decreased trend, percentages of patients caused by heart diseases, cerebrovascular accidents and mental-psychological diseases showed increased trend, and the proportions of patients caused by fracture/trauma/wound injuries were generally stable. The proportion of patients returning home and mortality rate after hospital discharge were declined, and the proportion of patients returning to other medical or community institutions was increased. (3) Living in ICU, length of hospital stays, diabetes, nosocomial infection, chronic kidney disease, urinary tract infection, tumble, body mass index, and anticholinergic drugs were independent risk factors influencing the medical expenses ( P<0.05). Conclusions:An aging trend is noted in patients with NDDs; the number of hospitalized patients and medical expenses increase year by year, and the length of hospital stays gradually decreases. In view of the many factors that influence the medical expenses of this disease, it is suggested to develop the corresponding standardized treatment plan for the main influencing factors in clinical practice.

Affective brain-computer interfaces (aBCIs) has important application value in the field of human-computer interaction. Electroencephalogram (EEG) has been widely concerned in the field of emotion recognition due to its advantages in time resolution, reliability and accuracy. However, the non-stationary characteristics and individual differences of EEG limit the generalization of emotion recognition model in different time and different subjects. In this paper, in order to realize the recognition of emotional states across different subjects and sessions, we proposed a new domain adaptation method, the maximum classifier difference for domain adversarial neural networks (MCD_DA). By establishing a neural network emotion recognition model, the shallow feature extractor was used to resist the domain classifier and the emotion classifier, respectively, so that the feature extractor could produce domain invariant expression, and train the decision boundary of classifier learning task specificity while realizing approximate joint distribution adaptation. The experimental results showed that the average classification accuracy of this method was 88.33% compared with 58.23% of the traditional general classifier. It improves the generalization ability of emotion brain-computer interface in practical application, and provides a new method for aBCIs to be used in practice.
Algorithms ; Brain-Computer Interfaces ; Electroencephalography ; Emotions ; Humans ; Reproducibility of Results

Objective:To study the effects of electron beam irradiation and 60Co irradiation on the composition changes of four alkaloids in Sophorae Flavescentis Radix, intermediate extracts of Sophorae Flavescentis Radix and Lixieling Tablets. Methods:Sophorae Flavescentis Radix, intermediate extracts of Sophorae Flavescentis Radix and Lixieling Tablets were irradiated at different doses of 0, 1.5, 3, 5, 7, 10, 20, 30, 40 kGy by electron beam irradiation and 60Co irradiation. The contents of oxymatrine, oxysophocarpine, matrine and sophocarpine were determined by HPLC, and the changes of the components before and after irradiation were compared. Results:Oxymatrine, oxysophocarpine, matrine and sophocarpine were among 0.046 9-0.937 4 μg, 0.020 5-0.410 4 μg, 0.098 9-1.977 9 μg, 0.048 7-0.973 1 μg, respectively. The linear relationship was good. The average recovery rates were 98.1%, 100.1%, 100.5%, 96.6%, respectively, and the RSDs were 1.69%, 2.03%, 3.14% and 1.10%, respectively. Electron beam irradiation and 60Co irradiation had no statistical significance on the changes of oxymatrine, oxysophocarpine, matrine and sophocarpine in Sophora flavescens, but had statistical significance in the contents of intermediate extracts of Sophorae Flavescentis Radix and Lixieling Tablets. Conclusion:The established method for the determination of matrine is accurate, reproducible, simple and practical, and can be used for the quality control of Lixieling Tablets. Irradiation has no significant effect on the content of Sophorae Flavescentis Radix, while high dose irradiation has significant effect on the intermediates and finished products of Sophorae Flavescentis Radix, which can provide a basis for quality control and sterilization irradiation of enterprises.

Necrobiome is the main factor causing the cadaver decomposition. Studying the microbial succession during decomposition is one of the main tasks of forensic microbiology. The interactive relationships among cadaver, environment and microorganisms are complicated. The microbial succession study relies on macroscopic monitoring of community composition and the diversity change in each decomposition stage. With the maturity and development of high-throughput sequencing （HTS）, the structure and diversity of microbial communities in different environments have been successively revealed. A new breakthrough to explore the cadaveric microorganisms has been opened as well. It has become the research hotspots in forensic microbiology to reveal the microbial succession in the process of cadaver decomposition and to interpret the essence of various decomposition phenomena by using HTS, which can provide a new reference for postmortem interval （PMI） estimation. The present paper reviews studies on PMI estimation by using cadaveric microorganism. Problems and application prospects of forensic microbiology studies are discussed on the basis of the current application of HTS technology in the exploration of microbial succession.
Autopsy ; Bacteria/genetics* ; Cadaver ; High-Throughput Nucleotide Sequencing ; Humans ; Postmortem Changes

There is no unified international guidelines or consensus on seizures and epilepsy following acute stroke reperfusion therapy so far.In this review,we briefly summarize its definitions and mechanisms.Post stroke epilepsy after reperfusion treatment is defined as patients with ischemic stroke who have received intravenous thrombolysis and/or endovascular therapy,without other definitive causes or epilepsy history before stroke,have at least two epileptic seizures occurred within 7 days of stroke onset,or at least one epileptic seizures occurred within 30 days of stroke onset.The incidence rate of epilepsy after intravenous thrombolysis is about 6.4%-20.6%,and arterial thrombectomy is about 5%.The pathophysiological mechanism of post stroke epilepsy after reperfusion treatment may be related to local hyperfusion,epileptogenic properties of tPA and hemorrhagic transformation.Higher stroke severity,cortical involvement,middle cerebral artery infarction,and early post-stroke seizures may be predictive factors for post-stroke epilepsy after reperfusion therapy.Levetiracetam and lamotrigine may be effective drugs for post-stroke epilepsy after reperfusion therapy.Sustained seizures after thrombolysis may increase the risk of death.