A multiple cross-linking strategy to develop an environment-friendly and water resistance wheat gluten protein wood adhesive.

Wheat gluten (WG) shows great promise to synthesize environment-friendly wood adhesives. However, their weak bonding strength and poor water resistance have limited its application in the commercial wood-based panel industry. In this study, a novel WG-based adhesive was developed by constructing a multiple cross-linking network generated by covalent and non-covalent bonds. The potential mechanism was revealed by FT-IR analysis. Furthermore, their surface morphology, thermal stability, viscosity, and residual rate of adhesives with different compositions were systematically characterized and compared. The results showed that the hydrogen bonding, reactions between amine groups and tannin, and ring opening reaction of epoxy, synergistically contributed to generate a highly crosslinked network. The wet/boil water strength of the plywood prepared from WG/tannin/ethylene imine polymer (PEI)-glycerol triglycidyl ether (GTE) adhesive with the addition of 15 % GTE could reach 1.21 MPa and 1.20 MPa, respectively, and a mildew resistance ability was observed. This study provides a facile strategy to fabricate high-performance plant protein-based adhesives with desirable water resistance for practical application.

Patient Confidential Data Hiding and Transmission System Using Amplitude Quantization in the Frequency Domain of ECG Signals.

The transform domain provides a useful tool in the field of confidential data hiding and protection. In order to protect and transmit patients' information and competence, this study develops an amplitude quantization system in a transform domain by hiding patients' information in an electrocardiogram (ECG). In this system, we first consider a non-linear model with a hiding state switch to enhance the quality of the hidden ECG signals. Next, we utilize particle swarm optimization (PSO) to solve the non-linear model so as to have a good signal-to-noise ratio (SNR), root mean square error (RMSE), and relative root mean square error (rRMSE). Accordingly, the distortion of the shape in each ECG signal is tiny, while the hidden information can fulfill the needs of physiological diagnostics. The extraction of hidden information is reversely similar to a hiding procedure without primary ECG signals. Preliminary outcomes confirm the effectiveness of our proposed method, especially an Amplitude Similarity of almost 1, an Interval RMSE of almost 0, and SNRs all above 30.

Realization of Forest Internet of Things Using Wireless Network Communication Technology of Low-Power Wide-Area Network.

This work implements an intelligent forest monitoring system using the Internet of things (IoT) with the wireless network communication technology of a low-power wide-area network (LPWAN), a long range (LoRa), and a narrow-band Internet of things (NB-IoT). A solar micro-weather station with LoRa-based sensors and communications was built to monitor the forest status and information such as the light intensity, air pressure, ultraviolet intensity, CO2, etc. Moreover, a multi-hop algorithm for the LoRa-based sensors and communications is proposed to solve the problem of long-distance communication without 3G/4G. For the forest without electricity, we installed solar panels to supply electricity for the sensors and other equipment. In order to avoid the problem of insufficient solar panels due to insufficient sunlight in the forest, we also connected each solar panel to a battery to store electricity. The experimental results show the implementation of the proposed method and its performance.

Excited-State THz Vibrations in Aggregates of PtII Complexes Contribute to the Enhancement of Near-Infrared Emission Efficiencies.

The exploration of deactivation mechanisms for near-infrared(NIR)-emissive organic molecules has been a key issue in chemistry, materials science and molecular biology. In this study, based on transient absorption spectroscopy and transient grating photoluminescence spectroscopy, we demonstrate that the aggregated PtII complex 4H (efficient NIR emitter) exhibits collective out-of-plane motions with a frequency of 32 cm-1 (0.96 THz) in the excited states. Importantly, similar THz characteristics were also observed in analogous PtII complexes with prominent NIR emission efficiency. The conservation of THz motions enables excited-state deactivation to proceed along low-frequency vibrational coordinates, contributing to the suppression of nonradiative decay and remarkable NIR emission. These novel results highlight the significance of excited-state vibrations in nonradiative processes, which serve as a benchmark for improving device performance.

Vortex beam assisted energy up-scaling for multiple-plate compression with a single spiral phase plate.

The vortex beam (Laguerre-Gaussian, LG10 mode) is employed to alleviate crystal damage in multiple-plate continuum generation. We successfully compressed 190-fs, 1030-nm pulses to 42 fs with 590 µJ input pulse energy, which is 5.5 times higher than that obtained by a Gaussian beam setup of the same footprint. High throughput (86%) and high intensity-weighted beam homogeneity (>98%) have also been achieved. This experiment confirms the great potential of beam shaping in energy up-scaling of nonlinear pulse compression.

Analysis of high risk factors for complications in the trial of vaginal delivery due to uterine scarring in a subsequent pregnancy to a cesarean section / Análisis de factores de alto riesgo para complicaciones en el trabajo de parto vaginal debidas a cicatrización uterina en un embarazo posterior a una operación cesárea

Abstract The purpose of this work was to analyze the high-risk factors of complications in the trial of vaginal delivery of a subsequent pregnancy for scar uterus after a previous cesarean. 136 pregnant women with scar uterus with a history of cesarean who were admitted to our obstetrics department from February 2016 to March 2019 were selected and were divided into a successful group and a failed group according to the results of pregnancy and trial of labor vaginal delivery. General data of before, during, and after delivery were collected and the high-risk factors for failed vaginal delivery of scar uterine were analyzed by the logistic regression analysis. Among the 136 patients, 108 cases (79.41%) of vaginal trials were successful, and 28 cases (20.59%) of vaginal trials faired. The univariate analysis showed that the differences in gravidity, parity and the previous cesarean interval, vaginal birth history, prenatal BMI, uterine contraction, gestational age, infant weight, dilatation of the cervix, cervical Bishop score, the height of the fetal head, the thickness of the lower uterus, and whether the membranes were prematurely ruptured were statistically significant (P<0.05). Logistic regression analysis showed vaginal birth history, prenatal BMI ≥ 30 kg/m2, parity ≥ 2 times, cesarean interval <2 times, dilatation of cervix ≥ 1 cm, the height of the fetal head ≥ -3, premature rupture of the membrane and the thickness of the lower uterus of 3.0 to 3.9 cm were the high-risk factors of complications in the vaginal trial delivery of pregnancy again for scar uterus (P<0.05). It is feasible for pregnant women with scar uterus to undergo vaginal delivery, but many related factors can affect the failure of trial of labor. It is necessary to pay attention to all aspects of clinical examination and choose applications strictly according to the indications.

Resumen El propósito del presente trabajo fue analizar los factores de alto riesgo de complicaciones por cicatriz uterina en la prueba de parto vaginal del siguiente embarazo después de una cesárea previa. 136 gestantes con cicatriz uterina fueron seleccionadas con antecedente de cesárea anterior que ingresaron a nuestro servicio de obstetricia de febrero 2016 a marzo 2019, y se dividieron en un grupo exitoso y un grupo fallido según los resultados de las pruebas de embarazo y parto vaginal. Los datos generales anteriores fueron recolectados, durante y después del parto y se analizaron los factores de alto riesgo para el parto vaginal fallido de la cicatriz uterina mediante el análisis de regresión logística. Entre las 136 pacientes, 108 casos (79,41%) de las pruebas vaginales fueron exitosas y 28 casos (20,59%) de las pruebas vaginales fracasaron. El análisis univariado mostró que las diferencias en la gravidez, la paridad y el intervalo de cesárea previa, la historia de parto vaginal, el IMC prenatal, la contracción uterina, la edad gestacional, el peso del lactante, la dilatación del cuello uterino, la puntuación cervical de Bishop, la altura de la cabeza fetal, el grosor del segmento uterino inferior, y si las membranas se habían roto prematuramente fueron estadísticamente significativas (P<0,05). El análisis de regresión logística mostró antecedente del parto vaginal, el IMC prenatal ≥ 30 kg/m2, la paridad ≥ 2 veces, el intervalo entre cesáreas < 2 veces, la dilatación del cuello uterino ≥ 1 cm, la altura de la cabeza fetal ≥ -3, la ruptura prematura de la membrana y el grosor del segmento uterino inferior de 3,0 a 3,9 cm fueron los factores de alto riesgo de complicaciones por cicatriz uterina en la prueba de parto vaginal de un siguiente embarazo (P<0,05). Sería posible que las gestantes con cicatriz uterina vuelvan a someterse a parto vaginal, pero existen muchos factores relacionados que inciden en el fracaso del trabajo de parto. Es necesario prestar atención a todos los aspectos de la exploración física y elegir las aplicaciones estrictamente de acuerdo con las indicaciones.

Comparison of three neuraxial anesthesia approaches in parturient women with obesity and pregnancy-induced hypertension who underwent cesarean section.

OBJECTIVE: To compare the effectiveness of different approaches of neuraxial anesthesia in parturient women with obesity and pregnancy-induced hypertension (PIH) who undergo cesarean section (CS). METHODS: We retrospectively analyzed data from 108 parturient women with obesity and PIH who underwent CS. All women were divided into the following three groups according to the neuraxial anesthesia approach: spinal anesthesia (SA), epidural anesthesia (EA), and combined spinal-epidural anesthesia (CSE). Clinical variables were compared. RESULTS: The mean age of the patients was 27.3 ± 2.2 years. Women in the CSE group had a longer duration from puncture to surgery, smaller intraoperative change in mean arterial pressure, higher Apgar scores at 1 and 5 minutes, shorter surgery time, lower rates of nausea and vomiting, and lower rate of intraoperative hypotension compared with those in the SA and EA groups. CONCLUSION: CSE takes longer to administer in parturient women with obesity and PIH who undergo CS compared with those who have SA or EA. However, CSE has several advantages over SA or EA, including a shorter surgery time, more stable intraoperative mean arterial pressure, lower rates of nausea, vomiting, and intraoperative hypotension, and better Apgar scores at 1 and 5 minutes.

Therapeutic effects of traditional Chinese medicine (Maxingshigan-Weijing Decoction) on COVID-19: An open-label randomized controlled trial.

BACKGROUND: Wenzhou has achieved great progress in the prevention and control of the growing coronavirus disease 2019 (COVID-19) pandemic, and traditional Chinese medicine (TCM) has played an indispensable role in this fight. This study aimed to investigate the efficacy of Maxingshigan-Weijing decoction (MWD) in treating infected patients. METHODS: This study was an open-label randomized controlled trial. Inpatients with mild or moderate symptoms caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection were randomly treated with routine supportive care alone or a combination of routine supportive care and MWD. The primary outcome was the rate of symptom (fever, fatigue, cough and difficulty breathing) recovery. RESULTS: Fifty-nine inpatients were enrolled, of whom 29 received routine supportive care alone (control group) and 30 received combination therapy (treatment group). The rate of symptom recovery was significantly higher in the treatment group than in the control group. The time to recovery of fever (3 vs. 7 days), fatigue (9 vs. 12 days), coughing (9 vs. 14 days) and difficulty breathing (4.5 vs. 9.5 days) was also significantly shorter in the treatment group (all p < 0.001). The syndrome score was lower after MWD treatment. However, neither group differed in the viral assay findings, hospitalization days, medication time or the rate of conversion to severe cases. CONCLUSIONS: MWD increased the rate of symptom recovery and shortened the time to recovery of clinical symptoms without deterioration to death or critical care. These findings may provide opportunities for the use of complementary medicine in treating this infection. CLINICAL TRIAL REGISTRATION: Chinese Clinical Trial Registry, ChiCTR2000030759.

Aberrantly reduced expression of miR-342-5p contributes to CCND1-associated chronic myeloid leukemia progression and imatinib resistance.

Chronic myeloid leukemia (CML) is a myeloproliferative disorder associated with the Philadelphia chromosome, and the current standard of care is the use of tyrosine kinase inhibitors (TKI). However, some patients will not achieve a molecular response and may progress to blast crisis, and the underlying mechanisms remain to be clarified. In this study, next-generation sequencing was used to explore endogenous miRNAs in CML patients versus healthy volunteers, and miR-342-5p was identified as the primary target. We found that miR-342-5p was downregulated in CML patients and had a significant inhibitory effect on cell proliferation in CML. Through a luciferase reporter system, miR-342-5p was reported to target the 3'-UTR domain of CCND1 and downregulated its expression. Furthermore, overexpression of miR-342-5p enhanced imatinib-induced DNA double-strand breaks and apoptosis. Finally, by analyzing clinical databases, we further confirmed that miR-342-5p was associated with predicted molecular responses in CML patients. In conclusion, we found that both in vivo and in vitro experiments and database cohorts showed that miR-342-5p plays a key role in CML patients, indicating that miR-342-5p may be a potential target for future CML treatment or prognostic evaluation.

Efficacy of Traditional Chinese Medicine, Maxingshigan-Weijing in the management of COVID-19 patients with severe acute respiratory syndrome: A structured summary of a study protocol for a randomized controlled trial.

OBJECTIVES: We aimed to test our expectation that additional administration of Traditional Chinese medicine (TCM), maxingshigan-weijing decoction, is more effective in the management of COVID-19 patients compared to those treated with routine supportive care alone. TRIAL DESIGN: This is a multicenter, open-label 2-arm (1:1 ratio) randomized controlled trial. PARTICIPANTS: Patients will be recruited from 3 hospitals in Wenzhou China: the First Affiliated Hospital of Wenzhou Medical University, the Second Affiliated Hospital of Wenzhou Medical University and Wenzhou Center Hospital. The inclusion and exclusion criteria are as follows: Inclusion criteria 1. Participants are 18-85 years of age, either male or female. 2. Diagnosed as positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) 3. Symptomatic. Mild (mild clinical symptoms without signs of pneumonia in chest X-ray) and Moderate (fever or respiratory symptom with signs of pneumonia in chest X-ray) . 1. Signed the informed consent before treatment. 2. Agreed not to enroll in any other clinical trials. 3. Inpatients Exclusion criteria 1. < 18 or > 85 years old. 2. Pregnancy and lactation. 3. Serious heart, liver, kidney and hematopoietic system diseases, abnormal liver or kidney function. 4. Suffering from other known virus pneumonia. 5. Allergic to Chinese herbal medicine or suffering from allergies. 6. Critical patients (respiratory failure treated by mechanical ventilation or shock or multiple organ failure). INTERVENTION AND COMPARATOR: Patients in the control group will receive routine supportive clinically care including the therapies of anti-viral, anti-bacterial and ameliorating the related symptoms, while patients in TCM group will be asked to take maxingshigan-weijing decoction (composed of 14 Chinese herbal medicines), orally 200 mL 2 times daily, for 14 consecutive days in addition to routine supportive care as mentioned above. Maxingshigan-weijing decoction consists of 10 g of Herba Ephedra (Mahuang), 10 g of Amygdalus Communis Vas (Xingren), 45 g of Gypsum Fibrosum (Shigao), 30 g of Rhizoma phragmitis (Lugen), 20 g of Peach kernel (Taoren), 20 g of Winter Melon kernel (Dongguaren), 30 g of Trichosanthes Kirilowii Maxim (Gualou), 12 g of Pericarpium Citri Reticulatae (Chenpi), 12 g of Rhizoma Pinelliae (Jiangbanxia), 12 g of caulis bambusae in taeniis (Zhuru), 30 g of semen lepidii (Tingliz), 15 g of semen lepidii (Shichangpu), 10 g of curcuma zedoary (ezhu) and 5 g of Radix Glycyrrhizae (Gancao). MAIN OUTCOMES: The primary outcome will be the number of days until the clinical symptom of fever improves in the first 14 days of treatment following randomisation. Fever will be defined as an improvement when the temperature is less than 37°C. Secondary outcomes will be TCM Syndrome Scores, the time it takes until individuals have negative test results for SARS-CoV-2 nucleic acid, the proportion of cases with chest X-ray improvements and the rate of symptom (fever, cough, malaise, shortness of breath) recovery. TCM Syndrome Scoring System is a checklist covering 4 main, 7 secondary and 13 accompanying items. The 4 main items consisting of fever, cough, malaise and shortness of breath, use a four-point scale (0, 2, 4 and 6) depending on the severity; the 7 secondary items including dysphoria, diarrhea, pharyngalgia, expectoration, muscular soreness, nasal obstruction and rhinorrhoea use 0-3-point scale; the 13 accompanying items contain chest pain, headache, aversion to cold, dizziness, nausea and vomiting, anorexia, abdominal distension, dry mouth, anxiety, spontaneous sweating, insomnia, wheezing and blood tinged sputum, and each item is rated on 0-1 scale ( 0 stands for asymptomatic, 1 stands for symptomatic ). The total scores sum up to a range from 0 to 58, with higher scores indicating more severe levels of disease. RANDOMIZATION: Minimization method will be used, balancing the two arms for pneumonia severity. Patients are randomized (1:1 ratio) to each group. Clinical researchers will get a random sequence number which is automatically generated by a random number generator (IBM Corp., Armonk, NY, USA), and sequentially number them in an opaque envelope. Researchers will open random allocation envelopes and assign participants accordingly. Eligible patients will be randomly divided into a routine supportive care group and a routine supportive care plus oral administration of traditional Chinese medicine group, with 70 patients in each group. BLINDING (MASKING): This is an open-label study. The statistical analysis will be carried out by the Professor of Statistics at Wenzhou Medical University, who is blinded to patient allocation. NUMBERS TO BE RANDOMISED (SAMPLE SIZE): The previous study reported the efficacy of TCM for COVID-19 and H1N1 influenza patients, the median survival time in the TCM group is estimated as 3 days; this time will be 1.5 times longer in the control group. Accordingly, Kaplan-Meier method and log-rank test will be used. And assuming a statistical power of 70% (one-sided type-1 error of α = 5%, ß = 30%) and a rate of withdrawal and loss to follow-up of 10%, we plan to include 140 participants in both groups ( TCM group = 70, control group = 70). TRIAL STATUS: The trial protocol is Version 2.0, October 14, 2020. Recruitment began March, 2020, and is anticipated to be completed by December 31, 2020. TRIAL REGISTRATION: Chinese Clinical Trial Registry, ChiCTR2000030759 . Registered on 13 March 2020. FULL PROTOCOL: The full protocol is attached as an additional file, accessible from the Trials website (Additional file 1). In the interest in expediting dissemination of this material, the familiar formatting has been eliminated; this Letter serves as a summary of the key elements of the full protocol.

Jiao-Tai-Wan Ameliorates Depressive-Like Behavior through the A1R Pathway in Ovariectomized Mice after Unpredictable Chronic Stress.

OBJECTIVE: This study was aimed at observing the effect Jiao-Tai-Wan in menopausal depression. METHODS: In this paper, we used ovariectomized mice subjected to chronic unpredictable stress as a menopausal depression model. After the chronic stress, mice were administrated with JTW (3.3 and 6.6mg/kg) and imipramine (10 mg/kg) for 14 days. On the 14th day, mice were subjected to the behavior test like the forced swim test, tail suspension test, and locomotor activity or were sacrificed to assess the protein changes in different brain regions. RESULTS: The administration of JTW at doses of 3.3 and 6.6mg/kg (p.o.) significantly shortened the duration of immobility in forced swim and tail suspension tests. There was no obvious difference in locomotor activity among all the groups. The western blot analysis data indicated that treatment with JTW (3.3 and 6.6 mg/kg, p.o.) prominently increased the A1R protein and the downstream protein ERK1/2 levels in the prefrontal cortex and hippocampus. However, the administration of JTW did not influence c-Fos protein in either the prefrontal cortex or hippocampus. CONCLUSION: Our findings suggest that JTW plays a vital role in ameliorating menopausal depression symptoms in the A1R-ERK1/2 pathway in the prefrontal cortex and hippocampus.

Jiao-tai-wan for insomnia symptoms caused by the disharmony of the heart and kidney: a study protocol for a randomized, double-blind, placebo-controlled trial.

BACKGROUND: Insomnia seriously affects people's normal lives and work. However, effective treatment strategies are scarce. The purpose of this study is to explore the efficacy and safety of Jiao-tai-wan (JTW) for ameliorating insomnia symptoms caused by disharmony of the heart and kidney. DESIGN: This is a randomized, double-blind, placebo-controlled pilot clinical trial. A total of 124 participants suffering from insomnia symptoms will be randomly assigned to the JTW or placebo group in an equal ratio. The participants will be asked to take JTW or placebo granules twice a day for 1 week. All data will be gathered at baseline and at the end of the drug intervention. The primary outcome measures will be the mean change in the Pittsburgh Sleep Quality Index (PSQI) from baseline to the end of the drug intervention. Secondary outcome measures will include the altered sleep parameters in polysomnography, 1H-magnetic resonance spectroscopy (1H-MRS) evaluation, the Disharmony of Heart and Kidney Scoring System score, and blood tests, including the levels of serum adenosine and melatonin. A laboratory test will be taken before and after treatment to assess the safety of JTW. DISCUSSION: The outcomes of this study will confirm the efficacy of JTW for the treatment of insomnia symptoms and will also be used to monitor the safety of JTW. TRIAL REGISTRATION: Chinese Clinical Trial Registry, ChiCTR1800019239. Registered on 1st November 2018.

A Hematologist-Level Deep Learning Algorithm (BMSNet) for Assessing the Morphologies of Single Nuclear Balls in Bone Marrow Smears: Algorithm Development.

BACKGROUND: Bone marrow aspiration and biopsy remain the gold standard for the diagnosis of hematological diseases despite the development of flow cytometry (FCM) and molecular and gene analyses. However, the interpretation of the results is laborious and operator dependent. Furthermore, the obtained results exhibit inter- and intravariations among specialists. Therefore, it is important to develop a more objective and automated analysis system. Several deep learning models have been developed and applied in medical image analysis but not in the field of hematological histology, especially for bone marrow smear applications. OBJECTIVE: The aim of this study was to develop a deep learning model (BMSNet) for assisting hematologists in the interpretation of bone marrow smears for faster diagnosis and disease monitoring. METHODS: From January 1, 2016, to December 31, 2018, 122 bone marrow smears were photographed and divided into a development cohort (N=42), a validation cohort (N=70), and a competition cohort (N=10). The development cohort included 17,319 annotated cells from 291 high-resolution photos. In total, 20 photos were taken for each patient in the validation cohort and the competition cohort. This study included eight annotation categories: erythroid, blasts, myeloid, lymphoid, plasma cells, monocyte, megakaryocyte, and unable to identify. BMSNet is a convolutional neural network with the YOLO v3 architecture, which detects and classifies single cells in a single model. Six visiting staff members participated in a human-machine competition, and the results from the FCM were regarded as the ground truth. RESULTS: In the development cohort, according to 6-fold cross-validation, the average precision of the bounding box prediction without consideration of the classification is 67.4%. After removing the bounding box prediction error, the precision and recall of BMSNet were similar to those of the hematologists in most categories. In detecting more than 5% of blasts in the validation cohort, the area under the curve (AUC) of BMSNet (0.948) was higher than the AUC of the hematologists (0.929) but lower than the AUC of the pathologists (0.985). In detecting more than 20% of blasts, the AUCs of the hematologists (0.981) and pathologists (0.980) were similar and were higher than the AUC of BMSNet (0.942). Further analysis showed that the performance difference could be attributed to the myelodysplastic syndrome cases. In the competition cohort, the mean value of the correlations between BMSNet and FCM was 0.960, and the mean values of the correlations between the visiting staff and FCM ranged between 0.952 and 0.990. CONCLUSIONS: Our deep learning model can assist hematologists in interpreting bone marrow smears by facilitating and accelerating the detection of hematopoietic cells. However, a detailed morphological interpretation still requires trained hematologists.

Prevention of systemic inflammation and neuroprotective effects of Qingda granules against angiotensin II-mediated hypertension.

Qingxuan Jiangya Decoction (QXJYD), prescribed by academician Ke-ji Chen, has long been used as a Traditional Chinese Medicine formula in blood pressure control and has achieved good clinical outcomes in hypertensive patients. Qingda granules (QDGs), which is a formula simplified from QXJYD, might serve as a novel anti-hypertensive pharmaceutical. However, the functional mechanism of QDGs remains unclear. This study aimed to evaluate the effect of QDGs against the elevation of blood pressure, systemic inflammation and brain injury in Ang II-mediated hypertensive mice. Ang II-mediated hypertensive mice were treated with 28.63mg QDG of per mouse every day. The blood pressure of all mice was measured on days 0, 1, 3, 5, 7, 14 and 28 by using the tail-cuff plethysmograph method. Following 28 days of treatment, the mice were sacrificed and their whole blood and brain tissues were used for analysis. The results showed that QDGs significantly decreased elevated systolic and diastolic blood pressure in Ang II-mediated hypertensive mice while body weight did not change, which demonstrated anti-hypertensive activities of QDGs without obvious toxicity. QDGs significantly attenuated the level of serum cytokines (IL-6, TNF-a) and chemokines (MCP-1, MIP-1a, RANTES) in the Ang II-mediated hypertensive mice. Moreover, pathological staining showed that QDGs significantly ameliorated cerebral histopathology changes, reduced the loss of neurons and activations of astrocytes. Additionally, QDGs inhibited neuronal apoptosis by down-regulation of Bax expression and up-regulation of Bcl-2 expression. These results suggested that QDGs exhibited excellent anti-hypertensive properties by preventing systemic inflammation and providing neuroprotective effects against Ang II-mediated hypertension.

Advances in clinical characteristics and management of adult diabetic ketoacidosis / 中华全科医师杂志

Diabetic ketoacidosis (DKA) is one of the most serious acute metabolic complications of diabetes.With the aging of population and the change of lifestyle in China, DKA is common in elderly or obese patients. The elderly patients are prone to DKA due to the poor treatment compliance, atypical symptoms and more complicated diseases; while DKA is more common in obese young men who excessively consumed sugary soft drinks before the onset of illness, their islet function can be restored after appropriate treatment. The application of some new therapeutic drugs and treatment options may induce euglycemic DKA. Through clinical data analysis, understanding the disease characteristics and following the treatment standards, the management of DKA in elderly or obese type 2 diabetic patients can be improved.

Prediction of deep learning-based radiomic features for neoadjuvant radiochemotherapy response in locally advanced rectal cancer / 中华放射肿瘤学杂志

Objective:To evaluate the effectiveness of deep learning (DL)-based radiomic features extracted from pre-treatment diffusion-weighted magnetic resonance images (DWI) for predicting neoadjuvant chemoradiation treatment (nCRT) response in patients with locally advanced rectal cancer (LARC).Methods:Forty-three patients receiving nCRT from 2016 to 2017 were included. All patients received DWI before nCRT and total mesorectal excision surgery 6-12 weeks after completion of nCRT. The patient-cohort was split into the responder group ( n=22) and the non-responder group ( n=21) based on the post-nCRT response assessed by postoperative pathology, MRI or colonoscopy. DL-based radiomic features were extracted from the apparent diffusion coefficient map of the DWI using a pre-trained convolution neural network, respectively. Least absolute shrinkage and selection operator-Logistic regression models were constructed using extracted radiomic features for predicting treatment response. The model performance was evaluated with repeated 20 times stratified 4-fold cross-validation using receiver operating characteristic (ROC) curves. Results:The model established with DL-based radiomic features achieved the mean area under the ROC curve of 0.73(SE, 0.58-0.80).Conclusion:DL-based radiomic features extracted from pre-treatment DWI achieve high accuracy for predicting nCRT response in patients with LARC.

Pinelliae Rhizoma Praeparatum Cum Alumine Extract: Sedative and Hypnotic Effects in Mice and Component Compounds.

Pinelliae Rhizoma Praeparatum Cum Alumine (PRPCA) is useful for eliminating dampness and phlegm in clinical settings, targeting the main mechanisms of insomnia as defined in traditional Chinese medicine. However, little is known regarding the sedative and hypnotic effects of PRPCA. In the present study, we examined the sedative effects of PRPCA via a locomotor activity test and aimed to determine the most appropriate concentration of PRPCA for achieving these effects. The strongest sedative effects were observed at a PRPCA concentration of 0.45 g/ml. In addition, we investigated the hypnotic effects of PRPCA and its role in promoting sleep via sleep monitoring and vigilance state analysis. PRPCA increased rapid eye movement (REM) sleep and non-REM (NREM) sleep while decreasing wakefulness. In addition, PRPCA decreased the number of bouts of wakefulness (16-32 s and 32-64 s) and increased the number of bouts of NREM sleep (128-256 s). Furthermore, we identified a total of 32 component compounds via chromatography and mass spectrometry. Hence, the current work provides valuable information regarding the sedative and hypnotic effects of PRPCA and its regulatory mechanisms in promoting sleep.

Pinellia ternata (Thunb.) Makino Preparation promotes sleep by increasing REM sleep.

Pinellia ternata (Thunb.) Makino Preparation (PTP) is widely used to treat insomnia in traditional Chinese medicine; however, its specific role is not clear. In this study, PTP was prepared at three concentrations. For locomotor activity tests, mice were treated with PTP and evaluated for 14 days. For polygraph recordings, mice were treated for 14 days and recorded after treatment. The main chemical constituents in PTP were identified by Ultra performance liquid chromatography/quadrupole time spectrometry (UPLC/Q-TOF-MS). The results showed that 0.9 g/mL PTP significantly reduced locomotor activity. The effect was related to the time of treatment. PTP reduced wakefulness and increased sleep in mice. Furthermore, PTP promoted sleep by increasing the number of REM sleep episodes with a duration of 64-128s and increasing the number of transitions from NREM sleep to REM sleep and from REM sleep to wakefulness. A total of 17 compounds were identified.