Bisphenol A (BPA) is a kind of exogenous chemicals presenting in the human living environment widely which affects the action of endocrine hormones in the human body. Numerous studies have shown that BPA has reproductive toxicity in the spermatogenic function damage of the testes through a variety of mechanisms such as interfering with endocrine function, inducing oxidative stress, promoting spermatogonial cell apoptosis, destroying the integrity of the blood-testis barrier, and regulating epigenetic inheritance, thereby destroying male fertility. Relevant studies have shown that TCM can improve male fertility by reversing BPA-induced reproductive damage through multi-component, multi-target and multi-mechanisms. However, there is no systematic review on the mechanism of TCM to reduce the reproductive toxicity of BPA. Based on the existing studies, this article will systematically introduce the mechanisms of BPA-induced reproductive impairment in men and the progress of TCM interventions, with a view to providing reference targets and research directions for the development of new Chinese medicines.
Humans ; Benzhydryl Compounds/adverse effects* ; Male ; Phenols/adverse effects* ; Medicine, Chinese Traditional ; Infertility, Male/chemically induced* ; Testis/drug effects* ; Drugs, Chinese Herbal/therapeutic use* ; Bisphenol A Compounds

The glucagon receptor (GCGR) is a critical target for the treatment of metabolic disorders such as Type 2 Diabetes Mellitus (T2DM) and obesity. Activation of GCGR enhances systemic insulin sensitivity through paracrine stimulation of insulin secretion, presenting a promising avenue for treatment. However, the discovery of effective GCGR agonists remains a challenging and resource-intensive process, often requiring time-consuming wet-lab experiments to synthesize and screen potential compounds. Recent advances in artificial intelligence technologies have demonstrated great potential in accelerating drug discovery by streamlining screening and efficiently predicting bioactivity. In the present work, we propose DeepGCGR, a two-layer deep learning model that leverages graph convolutional networks (GCN) integrated with a multiple attention mechanism to expedite the identification of GCGR agonists. In the first layer, the model predicts the bioactivity of various compounds against GCGR, efficiently filtering large chemical libraries to identify promising candidates. In the second layer, DeepGCGR classifies high bioactive compounds based on their functional effects on GCGR signaling, identifying those with potential agonistic or antagonistic effects. Moreover, DeepGCGR was specifically applied to identify novel GCGR-regulating compounds for the treatment of T2DM from natural products derived from traditional Chinese medicine (TCM). The proposed method will not only offer an effective strategy for discovering GCGR-targeting compounds with functional activation properties but also provide new insights into the development of T2DM therapeutics.
Deep Learning ; Drug Discovery/methods* ; Humans ; Diabetes Mellitus, Type 2/metabolism* ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal/pharmacology*

Based on the literature study,the thoughts and possible therapeutic mechanism in treating male infertility from the perspective of spleen and kidney by regulating intestinal flora were explored.Disturbance of intestinal flora is one of the important factors leading to the development of male infertility,and the spleen and kidney have certain similarities to intestinal flora in the physiological function and pathological changes.Moreover,tonifying the kidney and strengthening the spleen can regulate the intestinal flora by fostering the growth of beneficial bacteria,inhibiting the reproduction of pathogenic bacteria,and protecting the barrier of the intestinal mucosa.Therefore,the possible therapeutic mechanisms in treating male infertility with the prescriptions for tonifying the kidney and strengthening the spleen to regulate intestinal flora are as follows:inhibiting the expression of inflammatory factors to reduce the inflammatory reaction of testicular tissues;improving the antioxidant capacity to alleviate the damage of spermatozoa caused by oxidative stress,and improving the bad mood to alleviate the impact of psychological stress on the reproductive system.The exploration of the thoughts for treating male infertility from the perspective of spleen and kidney by regulating intestinal flora may provide a new entry point for modern Chinese medicine clinical treatment of male infertility.

The leaf spot of Belamcanda chinensis often appears in May to June and spreads rapidly during the flowering stage(July to September) in the cultivation fields, seriously affecting the yield and quality of B. chinensis. To identify and characterize the pathogens of the leaf spot, we isolated two species of Alternaria, identified them according to Koch's postulates, and tested their pathogenicity and biological characteristics. Furthermore, we determined the inhibitory effects of 6 chemical fungicides, 1 plant fungicide, and 3 microbial fungicides on the pathogens by using mycelial growth rate and plate confrontation method to select the appropriate control agents. The results showed that the two pathogens causing B. chinensis leaf spot were Alternaria tenuissima and A. alternata. The conidia of A. tenuissima often formed long chains with no or a few branches, while those of A. alternata often formed short branched chains. The optimum growth temperature of both A. tenuissima and A. alternata was 25 ℃. The two pathogens grew well in alkaline environment. The indoor fungicide screening experiments showed that 40% flusilazole had good inhibitory effects on the two pathogens, with the EC_(50) values of 12.42 mg·L~(-1) and 12.78 mg·L~(-1) for A. tenuissima and A. alternata, respectively. The results of this study provide a theoretical basis for the subsequent theoretical research and field control of B. chinensis leaf spot.
Fungicides, Industrial/pharmacology* ; Research ; Iris Plant ; Spores, Fungal ; Mycelium

In summer in 2020, Pinellia ternata in many planting areas in Hubei suffered from serious southern blight, as manifested by the yellowing and wilted leaves and rotten tubers. This study aims to identify the pathogen, clarify the biological characteristics of the pathogen, and screen fungicides. To be specific, the pathogen was isolated, purified, and identified, and the pathogenicity was detected according to the Koch's postulates. Moreover, the biological characteristics of the pathogen were analyzed. Furthermore, PDA plates and seedlings were used to determine the most effective fungicides. The results showed that the mycelia of the pathogen were white and villous with silk luster, which produced a large number of white to black brown sclerotia. The pathogen was identified as Athelia rolfsii by morphological observation and molecular identification based on LSU and TEF gene sequences. The optimum growth conditions for A. rolfsii were 30 ℃ and pH 5-8, and the optimum conditions for the germination of sclerotia were 25 ℃ and pH 7-9. Bacillus subtilis, difenoconazole, and flusilazole were identified as effective fungicides with PDA, and their half maximal effective concentration(EC_(50)) was all less than 5 mg·L~(-1). The effective fungicides screened with the seedlings were hymexazol and difenoconazole. Based on the screening experiments, difenoconazole can be used as the main agent for the prevention and treatment of southern blight.
Pinellia/genetics* ; Fungicides, Industrial/pharmacology* ; Seedlings ; Bacillus subtilis ; Mycelium

Remitting seronegative symmetrical synovitis with pitting edema(RS3PE),the inflammatory arthritis attacking mainly elderly males,is characterized by symmetrical synovitis with pitting edema of the dorsum of hands and feet and the absence of rheumatoid factor.RS3PE commonly accompanies malignant tumor,infections and other diseases.Here we report a case of RS3PE associated with lung malignancy and review other six cases to summarize the clinical features,treatment and prognosis.
Aged ; Edema/etiology* ; Humans ; Lung Neoplasms/complications* ; Male ; Syndrome ; Synovitis/drug therapy*

Objective To investigate the effects of particle size, wind speed and dumping velocity on aerosol concentration distribution during powder dumping in a reprocessing plant. Methods CeO₂ powder was selected as the substitute material of PuO₂. FLUENT software was used to calculate the pouring process of CeO₂ powder under different operation conditions. Then the aerosol concentration distribution under different dumping speeds was measured by particle size spectrometer to verify the accuracy of simulation results. Results The particles with small particle size are more likely to be separated from the mainstream area by the drag force of the surrounding gas, and the radius of the diffusion range also increases with the decrease of the particle size. 2) When the ventilation speed is less than 1 m/s, the dust lifting can be reduced and the concentration of dust particles in the chamber can be reduced to a certain extent. 3) In the process of powder dumping, the spoon is rotated anticlockwise at a speed of 100° in 2～3 s, and less dust aerosol is produced on the right side of the tray. Conclusion When operating the powder particles with smaller particle size, more attention should be paid to the monitoring of aerosol at different positions; the change of air inlet velocity makes the flow field in glove box more complex, and the volume fraction of dust particles is related to the size and location of vortex formed by airflow. The greater the wind speed, the greater the impact on the powder dumping process. The experimental results are basically consistent with the simulation results, and the results show that the lower the dumping speed, the smaller the aerosol concentration near the tray.

Cyclophosphamide (CPA) is one of the most commonly used alkylating agents in the treatment of malignant cancer. CPA is metabolized by cytochrome P450 enzymes into 4-hydroxycyclophosphamide in vivo which can exhibit anti-tumor activity. Metabolic activation of CPA can cause adverse reactions such as myelosuppression, cystitis, and liver injury. The aim of this study was to evaluate the dynamic changes of hepatic injury induced by CPA in mice. Male BALB/c mice were injected CPA (200 mg·kg^-1) intraperitoneally. Both serum and liver samples were collected at 0, 2, 6, 12 and 24 hours after dosing. The animal experiment protocol was approved by the Institutional Animal Care and Use Committee at Sun Yat-sen University. The results showed that hepatotoxicity was observed at 2 hours after CPA dosing, and the most serious liver injury was measured at 12 hours. The level of serum aspartate aminotransferase (AST), alanine aminotransferase (ALT) and malondialdehyde (MDA) was significantly increased, glutathione (GSH) level was significantly decreased, hepatocyte edema and vacuolar degeneration were widely observed in liver tissue, and began to recover 24 hours after dosing. In addition, due to oxidative stress damage caused by CPA, nuclear factor-erythroid 2-related factor 2 (NRF2) signaling pathway was activated and the mRNA and protein expression of its downstream targets such as quinine oxidoreductase 1 (NQO1), heme oxygenase-1 (HO-1), glutamate-cysteine ligase catalytic subunit (GCLC) and glutamate cysteine modifier subunit (GCLM) were up-regulated, which alleviated oxidative stress injury. In a summary, this study demonstrate the dynamic change of CPA-induced liver injury and the NRF2-mediated protective mechanisms, providing new insights into the CPA-induced liver injury.

Volatility can influence the lifetime of particles in the atmosphere, and provide useful information on the formation of secondary aerosol. The previous studies generally utilized thermodenuder ( TD ) to investigate the volatility behavior of particles. Using TD, semivolatile species are vaporized at different temperature, and the vaporized gas is adsorpted by activated charcoal. However, carbon might be emitted from activated charcoal under high temperature or activated charcoal ageing. In this study, a new method was developed for the measurement of particle volatility by coupling a thermodiluter system to an online single particle aerosol mass spectrometer ( SPAMS) . Aerosol particles were passed into two different channels, and then analyzed by SPAMS. Through Channel 1, aerosol particles were heated to different temperature by heating tube, then non-volatile particles and volatile gas entered into the diluter. After diluting and cooling by diluent air, the non-volatile particles were analyzed by SPAMS. Through Channel 2, aerosol particles were analyzed directly by SPAMS without the heating process. Particle volatility was obtained by comparing the information ( particle size, particle number and mass spectrum ) of particles through Channels 1 and 2. Laboratory tests showed that the diluter could avoid the re-condensation of volatiles to the particles. This developed method was applied in the real time measurement of individual particle volatility in the spring of Guangzhou. The results showed that these particles were primarily comprised of highly volatile and moderate volatile species.

BACKGROUNDSeverity scoring systems are useful tools for measuring the severity of the disease and its outcome. This pilot study was to verify and compare the prognostic performance of the Simplified Acute Physiology Score II (SAPS II) and Glasgow Coma Scale (GCS) in neuro-intensive care unit (N-ICU) patients.

METHODSA total of 1684 patients consecutively admitted to the N-ICU at Xuanwu Hospital between January 1, 2005 and December 31, 2011 were enrolled in this study. The data-base included admission data, at 24-, 48-, and 72-hour SAPS II and GCS. Repeated measure data analysis of variance, Logistic regression analysis, the Hosmer-Lemeshow goodness-of-fit statistic, and the area under the receiver operating characteristic were used to evaluate the performance.

RESULTSThere was a significant difference between the SAPS II or GCS score at four time points (F = 16.110, P = 0.000 or F = 8.108, P = 0.000). The SAPS II scores or GCS score at four time points interacted with the outcomes with significant difference (F = 116.771, P = 0.000 or F = 65.316, P = 0.000). Calibration of the SAPS II or GCS score at each time point on all patients was good. The percentage of a risk estimate prediction corresponding to observed mortality was also good. The 72-hour score have the greatest consistency. Discriminations of the SAPS II or GCS score at each time were all satisfactory. The 72-hour score had the greatest discriminative power. The cut-off value was 33 (sensitivity of 85.2% and specificity of 74.3%) and 6 (sensitivity of 70.6% and specificity of 65.0%). The SAPS II at each time point on all patients showed better calibration, consistency and discrimination than GCS. The binary Logistic regression analysis identified physiological variables, GCS, age, and disease category as significant independent risk factors of death. After the two variables including underlying disease and type of admission were excluded, we built the simplified SAPS II model. A correlation was suggested between the simplified SAPS II score at each time point and outcome, regardless of the diagnosis.

CONCLUSIONSThe GCS scoring system tends to be a little weaker in the predictive power than the SAPS II scoring system in this Chinese cohort of N-ICU patients. The advantage of SAPS II scoring system still exists that it dose not need to take into account the diagnosis or diseases categories, even in the special N-ICU. The simplified SAPS II scoring system is considered a new idea for the estimation of effectiveness.

APACHE ; Adult ; Aged ; Aged, 80 and over ; China ; Female ; Glasgow Coma Scale ; Humans ; Intensive Care Units ; statistics & numerical data ; Male ; Middle Aged ; Young Adult