Clinical Characteristics and Diagnostic Methods of Pulmonary Mucormycosis / 中山大学学报(医学科学版)

ObjectiveTo summarize the clinical features and prognosis of pulmonary mucormycosis （PM） in southern China， and to explore the diagnostic value of metagenomic next generation sequencing （mNGS） in PM. MethodsThe clinical manifestations， diagnosis， treatment and prognosis of patients diagnosed with PM in The First Affiliated Hospital of Sun Yat-sen University from January 1， 2019 to January 31， 2022 who had undergone mNGS detection in lung tissue or alveolar lavage fluid were collected retrospectively. A total of 14 patients with PM were included， including 4 patients with confirmed diagnosis and 10 patients with clinical diagnosis. ResultsAll patients had underlying medical conditions， with hematological malignancies and diabetes being the most common. The most common symptoms were fever （n = 10）， cough （n = 9） and shortness of breath （n = 9）. Consolidation was the most common sign of chest CT， followed by mass， mostly with cavity. On laboratory tests， decreased CD4+T lymphocytes， elevated CD8+T lymphocytes， and decreased CD4+/CD8+ ratio， and presentation with pleural effusion indicate poor prognosis. The positive rate of mNGS diagnosis was 78.5%， which was significantly higher than that of histopathology （50%）， fungus rapid fluorescence staining （61.5%） and fungal culture （23.1%） of bronchoalveolar lavage fluid. ConclusionsPulmonary mucormycosis is more likely to occur in patients with underlying diseases or who are immunocompromised. The clinical manifestations lack specificity. The low CD4/CD8 ratio and presentation of pleural effusion on CT imaging indicate poor prognosis of patients. mNGS is a rapid， convenient and sensitive method for the diagnosis of PM， which has advantages in the diagnosis of pulmonary mucormycosis.

Establishment of Feedforward Control Model for Dry Granulation of Polysaccharide Components Based on Quality by Design / 中国实验方剂学杂志

ObjectiveA feedforward control model for dry granulation of polysaccharide components was established to guide the adjustment and optimization of critical process parameters （CPPs） in the design space， so as to reduce the impact of fluctuations in raw materials properties on the quality of medicines. MethodTaking Astragali Radix extract powder as the model drug， the design space of dry granulation CPPs was determined by Box-Behnken design. Astragali Radix mixed powder with different powder properties were prepared by mixture design， the variance inflation factor （VIF） was used to diagnose the multicollinearity of the powder properties， and principal component analysis （PCA） was used to extract the characteristic data of the model. Radial basis function neural network （RBFNN） was used to establish a feedforward control model for reflecting the relationship between the powder properties of polysaccharide components， dry granulation CPPs and one-time molding rate. ResultThe design space for dry granulation CPPs of polysaccharide components was 16-35 Hz for feeding speed， 10-23 Hz for roller speed， and 10-46 kg·cm-2 for roller pressure. The established RBFNN feedforward control model had a good predictive effect on the one-time molding rate of dry granulation of polysaccharide components， which could be used to guide the adjustment and optimization of CPPs in the design space， the relative error was 0.38%-6.73%， and the average relative error was 3.42%. ConclusionThe established feedforward control model can well reflect the relationship between the powder properties of the polysaccharide components， the dry granulation CPPs and the one-time molding rate of the granules， which can be used to guide the adjustment and optimization of CPPs in the design space， reduce the impact of material property fluctuation on product quality， and provide ideas for promoting the quality of traditional Chinese medicine from passive control to active control.

Prediction of Disintegration Time of Traditional Chinese Medicine Tablets Based on Generalized Regression Neural Network / 中国实验方剂学杂志

Objective:This paper constructs a generalized regression neural network （GRNN） model to predict the disintegration time of traditional Chinese medicine （TCM） tablets. Method:Taking Astragali Radix as a model drug， the mixed Astragali Radix powders with different powder properties were prepared by mixing Astragali Radix extract powders with microcrystalline cellulose and lactose， which were made to Astragali Radix tablets by direct compression method. The powder properties of mixed Astragali Radix powders and the disintegration time of Astragali Radix tablets were determined， respectively. The correlation between the original data was eliminated by principal component analysis （PCA）. The principal component factors were used as the input layer of the GRNN model， and the disintegration time was used as the output layer for network training. Finally， the verification group data was used to predict the disintegration time， and the network prediction accuracy was calculated by comparing with the actual value. Result:Three principal component factors were obtained through PCA by analyzing the original nine variables that were correlated with each other （Hausner ratio， true density， tap density， compression degree， angle of repose， bulk density， porosity， water content and total dissolved solids）， which reduced the complexity of the network. The prediction value of the disintegration time based on this prediction method was in good agreement with the actual value， the error of disintegration time was 0.01-1.34 min and the average relative error was 3.16%. Conclusion:Based on the GRNN mathematical model， the physical properties of Astragali Radix extract powders can be used to accurately predict the disintegration time of Astragali Radix tablets， which provides a reference for studying the disintegration time of TCM tablets.

Research on Bayesian fault diagnosis model of traditional Chinese medicine dry granulation based on failure model and effect analysis (FMEA) / 中国中药杂志

This paper aims to construct a Bayesian(BN) fault diagnosis model of traditional Chinese medicine dry granulation based on the failure model and effect analysis(FMEA), effectively control risk factors and ensure the quality of granules.Firstly, the risk ana-lysis of dry granulation process was carried out with FMEA, and the selected medium and high risk factors were taken as node variables to establish corresponding BN network with causality.According to the mathematical reasoning method of probability theory, the model was accurately inferred and verified by Netica, and the granule nonconformance was used as the evidence for reversed reasoning to determine the most likely cause of the failure that affected the granule quality.The BN fault diagnosis model of traditional Chinese medicine dry gra-nulation was established based on the medium and high risk factors of process, prescription and equipment screened out by FMEA, such as roller pressure, raw material viscosity, clearance between rollers in the paper.The fault diagnosis of traditional Chinese medicine dry granulation process was then carried out according to the model, and the posterior probability of each node under the premise of nonconforming granule quality was obtained.This method could provide strong support for operators to quickly eliminate faults and make decisions, so as to improve the efficiency and accuracy for fault diagnosis and prediction, with innovation in its application.

Material properties and tensile strength prediction model of traditional Chinese medicine tablets based on PCA-RBF neural network / 中国中药杂志

This paper constructs a prediction model of material attribute-tensile strength based on principal component analysis-radial basis neural network( PCA-RBF),in order to predict the formability of traditional Chinese medicine tablets. Firstly,design Expert8. 0 software was used to design the dosage of different types of extracts,the mixture of traditional Chinese medicine with different physical properties was obtained,the powder properties of each extract and the tensile strength of tablets were determined,the correlation of the original input layer data was eliminated by PCA,the new variables unrelated to each other were trained as the input data of RBF neural network,and the tensile strength of the tablets was predicted. The experimental results showed that the PCA-RBF model had a good predictive effect on the tensile strength of the tablet,the minimum relative error was 0. 25%,the maximum relative error was2. 21%,and the average error was 1. 35%,which had a high fitting degree and better network prediction accuracy. This study initially constructed a prediction model of material properties-tensile strength of Chinese herbal tablets based on PCA-RBF,which provided a reference for the establishment of effective quality control methods for traditional Chinese medicine preparations.

An ensemble-based likelihood ratio approach for family-based genomic risk prediction / 浙江大学学报（英文版）（B辑：生物医学和生物技术）

OBJECTIVE@#As one of the most popular designs used in genetic research, family-based design has been well recognized for its advantages, such as robustness against population stratification and admixture. With vast amounts of genetic data collected from family-based studies, there is a great interest in studying the role of genetic markers from the aspect of risk prediction. This study aims to develop a new statistical approach for family-based risk prediction analysis with an improved prediction accuracy compared with existing methods based on family history.@*METHODS@#In this study, we propose an ensemble-based likelihood ratio (ELR) approach, Fam-ELR, for family-based genomic risk prediction. Fam-ELR incorporates a clustered receiver operating characteristic (ROC) curve method to consider correlations among family samples, and uses a computationally efficient tree-assembling procedure for variable selection and model building.@*RESULTS@#Through simulations, Fam-ELR shows its robustness in various underlying disease models and pedigree structures, and attains better performance than two existing family-based risk prediction methods. In a real-data application to a family-based genome-wide dataset of conduct disorder, Fam-ELR demonstrates its ability to integrate potential risk predictors and interactions into the model for improved accuracy, especially on a genome-wide level.@*CONCLUSIONS@#By comparing existing approaches, such as genetic risk-score approach, Fam-ELR has the capacity of incorporating genetic variants with small or moderate marginal effects and their interactions into an improved risk prediction model. Therefore, it is a robust and useful approach for high-dimensional family-based risk prediction, especially on complex disease with unknown or less known disease etiology.

Clinicopathologic study of 963 cases of mature T-cell and natural killer/T-cell lymphoma with respect to 2008 WHO classification of lymphoid neoplasms / 中华病理学杂志

<p><b>OBJECTIVE</b>To study the clinicopathologic features of various types of mature T-cell and natural killer (NK)/T-cell lymphoma in Guangdong, China, with respect to the 2008 WHO classification of lymphoid neoplasms.</p><p><b>METHODS</b>Eleven hundred and thirty-seven (1137) cases of mature T-cell or NK/T-cell lymphoma diagnosed during the period from 2002 to 2006 in Guangzhou area were retrieved. The clinical data, histologic features and immunohistochemical findings were reviewed by a panel of experienced hematopathologists. Additional immunostaining was performed if indicated. The cases were re-classified according to the 2008 WHO classification of lymphoid neoplasms.</p><p><b>RESULTS</b>Nine hundred and sixty-three (963) cases fulfilled the diagnostic criteria of mature T-cell or NK/T-cell lymphoma and accounted for 20.1% of all cases of lymphoma encountered during the same period (963/4801). A predominance of extranodal involvement was noted in 644 cases (66.9%), while 319 cases (33.1%) showed mainly nodal disease. The prevalence of various lymphoma subtypes was as follows: peripheral T-cell lymphoma, unspecified (PTCL, NOS) 293 cases (30.4%), extranodal NK/T-cell lymphoma, nasal type 281 cases (29.2%), anaplastic large cell lymphoma (ALCL) 198 cases (20.6%), and angioimmunoblastic T-cell lymphoma (AILT) 46 cases (4.8%). The male-to-female ratio was 1.99. The median age of the patients was 44 years, with the peak age of PTCL, NOS, extranodal NK/T-cell lymphoma, nasal type and AILT being 55 to 64 years, 25 to 54 years and 65 to 74 years, respectively. ALK-positive ALCL occurred more frequently in young age, while the ALK-negative ALCL cases occurred mainly in the elderly.</p><p><b>CONCLUSIONS</b>Extranodal lesions predominate in mature T-cell and NK/T-cell lymphomas occurring in Guangzhou area. There is a male predominance and the overall incidence shows no increasing trend with age of the patient. The peak age of various subtypes however varies. The most common subtype was PTCL, NOS, followed by extranodal NK/T-cell lymphoma, nasal type, ALCL and AILT. The relatively frequent occurrence of extranodal NK/T-cell lymphoma, nasal type in Guangdong area is likely associated with the high incidence of Epstein-Barr virus infection there.</p>

Serum vaspin level in relation to postprandial plasma glucose concentration in subjects with diabetes / 中华医学杂志(英文版)

<p><b>BACKGROUND</b>Vaspin is a newly-identified adipocytokine related to obesity and insulin sensitivity. However, its pathophysiologic role in humans remains largely unknown. The aim of our study was to investigate the relationship between serum vaspin level and glucose metabolism or obesity in Chinese adults.</p><p><b>METHODS</b>A total of 123 subjects, including 84 subjects with normal glucose tolerance (NGT) and 39 subjects with diabetes, were enrolled in this study. Anthropometric parameters, abdominal fat areas, plasma glucose concentration, serum insulin, lipids, and vaspin level were measured in each participant.</p><p><b>RESULTS</b>Serum vaspin concentration was significantly higher in diabetic patients than that in NGT subjects (592 (438 - 695) pg/ml vs 380 (294 - 517) pg/ml, P = 0.020) in women. In all participants, age, fasting plasma glucose concentration (FPG), 2-hour post-load plasma glucose (PG2h), hemoglobin A1c (HbA1c) and high-density lipoprotein cholesterol (HDL-c) significantly increased from the lower tertile to the higher tertile of vaspin. Univariate linear regression analyses revealed that vaspin level was only positively correlated with age (beta = 0.340, P = 0.002) in NGT subjects. And vaspin was positively associated with FPG (beta = 0.365, P = 0.023), PG2h (beta = 0.526, P = 0.001), HbA1c (beta = 0.388, P = 0.016), and HDL-c (beta = 0.353, P = 0.027), while negatively with homeostasis model assessment of beta cell function (HOMA-beta) (beta = -0.361, P = 0.024) in diabetic patients. In stepwise multivariate regression analyses, age was independently associated with circulating vaspin in NGT subjects, whereas PG2h was an independent predictor of vaspin in diabetic patients. In addition, there was no significant difference of serum vaspin level between men and women. And no significant correlations between vaspin and body fat indexes were detected.</p><p><b>CONCLUSIONS</b>Serum vaspin level is higher in diabetic patients than that in NGT subjects in women. Age predicts serum vaspin level in NGT subjects, while PG2h is independently associated with vaspin in diabetic patients.</p>

Vaspin-a novel fat-derived serine protease Inhibitor / 中华内分泌代谢杂志

ncreased. But it remains controversial how vaspin is correlated with insulin sensitivity. More studies based on large population are needed to identify the associ-ation between vaspin and insulin sensitivity.

Subgrouping and outcome prediction of diffuse large B-cell lymphoma by immunohistochemistry / 中华病理学杂志

<p><b>OBJECTIVE</b>To categorize diffuse large B-cell lymphoma (DLBCL) into germinal center B cell-like (GCB) and non-germinal center B cell-like (non-GCB) subgroups by immunohistochemistry; and to investigate the underlying prognostic significance.</p><p><b>METHODS</b>Immunohistochemical study for CD10, bcl-6 and MUM1 was performed on 133 cases of DLBCL. The cases were then categorized into GCB and non-GCB subgroups. The 5-year overall survival and 5-year progression-free survival rates were compared between the GCB and non-GCB groups, and among the cases with different immunohistochemical expression or with different IPI.</p><p><b>RESULTS</b>Amongst the 133 case studied, CD10 was expressed in 33.1%, while bcl-6 was positive in 34.6% and MUM1 in 45.1%. CD10 expression had a favorable impact on 5-year overall survival (P=0.041) and 5-year progression-free survival (P=0.031). On the other hand, bcl-6 expression had a favor able impact on 5-year progression-free survival (P=0.044). Expression of MUM1 carried an adverse effect on 5-year overall survival (P=0.031) and 5-year progression-free survival (P=0.028). GCB immunophenotype was demonstrated in 40.6% of the cases, while 59.4% showed a non-GCB profile. GCB DLBCL had a significantly longer 5-year overall survival (P=0.004) and 5-year progression-free survival (P=0.003), as compared with the non-GCB group. When dividing the cases into two groups according to their IPI score (IPI=0 to 1 and IPI=2 to 5), it turned out that the 5-year overall and progression-free survival rates of the GCB group were significantly higher than those of the non-GCB group (P=0.019 and 0.014 respectively in cases with IPI of 0 to 1 and P=0.006 and 0.009 respectively in cases with IPI of 2 to 5). The non-GCB cases with a IPI of 2 to 5 had the poorest prognosis.</p><p><b>CONCLUSION</b>DLBCL subgrouping by immunohistochemistry and analysis of the subgrouping with IPI is feasible and useful in predicting clinical outcome.</p>

Investigation on Sleep Snoring and Relative Morbidities in Children Aged 3 to 14 Years Old in Nanning City / 实用儿科临床杂志

Objective To investigate the occurrence of sleep snoring and relative morbidities in preschool and early school children aged 3 to 14 years old in Nanning city.Methods A population-based cross-sectional study of children aged form 3 to 14 years old was conducted,12 kindergartens,8 prime schools and 6 junior high schools were randomly selected and information was collected using a parent-completed questionnaire to ascertain snoring or habitual snoring and correlated symptom.The response rate was 90.6%,8 150 of 9 000 questionnaire were fully completed and 6 999 questionnaires were available.Results The prevalence of snoring in preschool and school children were reported in 32.7%,the incidence rate of sleep snoring in boys was 44.22%,which was higher than that in girls(28.58%)(P

Studies on anti-inflammatory and immunologic enhancement of kangning granules / 中国中药杂志

<p><b>OBJECTIVE</b>To investigate the effect of Kangning granules on inflammatory and immunology.</p><p><b>METHOD</b>Pedal swelling induced by 1% agar in mice, dermal capillary hyper-permeability induced by histamine in rats were used to evaluate the anti-inflammatory of Kangning granules, and the clearance rate of intravenous charcoal particles was used to study its effect on non-specific immunologic functions. Serum haemolysin level and the number of antibody secretory cells in spleen were determined to assess its effects of specific immunologic functions. MTT colored method was used to determine the effect of Kangning granules on T- or B-Lymphocytes proliferation.</p><p><b>RESULT</b>5, 10, 20 g x kg(-1) of Kangning Granules significantly inhibited pedal swelling induced by agar in mice (P < 0.05, P < 0.01). 2.4, 4.8, 9.6 g x kg(-1) of Kangning Granules evidently decreased dermal capillary hyper-permeability induced by histamine in rats (P < 0.05, P < 0.01). 10, 20 g x kg(-1) of Kangning Granules enhanced the phagocytic function and phagocytosing velocity in mice (P < 0.05). 5, 10, 20 g x kg(-1) of Kangning Granules obviously increased serum haemolysin level and the number of antibody secretory cells in spleen (P < 0.05, P < 0.01). 20 g x kg(-1) of Kangning Granules promoted B-Lymphocytes proliferation (P < 0.05).</p><p><b>CONCLUSION</b>Kangning granules significantly inhibited inflammatory reaction and increase immune functions in animals.</p>

Variation of endogeneous ET, CGRP and NO in myocardial ischemia in rats and the regulatory effect of xinshuping / 中国中药杂志

<p><b>OBJECTIVE</b>To observe the variation of ET and CGRP contents in ischemic heart, and NO level in serum of myocardial damaged rats, and their regulation when with the protection of Xinshuping, a traditional Chinese medicine compound.</p><p><b>METHOD</b>The models of myocardial ischemia were prepared by subcutaneous injection of isoproterenol or by ligation of coronary artery.</p><p><b>RESULT</b>ET content in myocardium was significantly increased (P < 0.01), and CGRP content as well as NO level in serum was not changed obviously in the model induced by isoproterenal. However, NO level in serum of rats treated with Xinshuping (ig bid x 2.5 d) was markedly raised (P < 0.01), neither ET not CGRP contents were affected by it. LDH and CK levels in serum of rats were evidently lowered by Xinshuping treatment. S-T segment's elevation of ECG was significantly inhibited and myocardial infarction size was reduced markedly by Xinshuping treatment in rats subjected to coronary artery ligature.</p><p><b>CONCLUSION</b>ET, CGRP or NO is involved in myocardial infarction caused by isoproterenol. The ischemic damage or dysfunction in different models is obviously protected by Xinshuping. The promotion of NO release from vascular endothelium is probably related with this protective effect.</p>

Screening and Properties of Chitin Deacetylase from Bacillus subtilis / 微生物学通报

A bacterium that contains a chitin deacetylase has been isolated from ocean soil. It has been identified Baciluus .The best suitable condition of producing this enzyme is that pH is 4.0,35℃,and the incubate time is 80 hours in the present of Ca 2+ as well as having no chitosan. The best temperature of this enzyme when it acts is 40℃～50℃ and the best pH range is 4.5～5.0.

CLONING AND SEQUENCING OF THE NUCLEASE BN AND SN GENE / 微生物学通报

Total DNA of B. amyloliquefaciens and S. aureus were isolated and cut partially with Hind Ⅲ Separately, The genes for barnase and for staphylococcal nucl ease were obtained by PCR and cloned into pGEM7Z-f(+), The sequencing show that the n ucleotide (nt) sequence of the barnase is 99.3% homologous with the previously determimed sequence and the deduced animo acid (an)sequence found to correspond precisely to the previously determined sequence; the nucleotide (nt) sequence of the staphylococcal nuclease is 99.1% homologous with the previously determined sequence and the deduced amino acid (an) sequence 99.3% homologous with the previously determinded sequence.These have built basis of making use of special expression or activation of nuclease to produce the male sterility plant by plant gene engineering and to explore new antiviral strategy.