OBJECTIVE To establish the specific chromatogram of Qianghuo Shengshi Tang(QHSS) reference sample, clarify the key quality attributes of QHSS, providing reference for the quality evaluation of QHSS reference sample. METHODS The SilGreen C18 column(4.6 mm×250 mm, 5 μm) was used. The mobile phase consisted acetonitrile and 0.2% formic acid aqueous solution. The detection wavelength was 328 nm. Established an HPLC characteristic spectrum analysis method for the reference sample of QHSS. A variety of chromatographic columns and different instruments were applied to investigate the adaptability of the system. HPLC-LTQ-Orbitrap MS was used to identify the specific peaks of the QHSS reference samples in positive ion mode. RESULTS There were 14 peaks in the specific chromatogram, which belonged to Notopterygii Rhizoma Et Radix, Angelicae Pubescentis Radix, Ligustici Rhizoma Et Radix, Chuanxiong Rhizome, Viticis Fructus, respectively. Ferulic acid(peak 3) was reference peak. A total of 22 compounds were identified by mass spectrometry, including coumarin and flavonoids. CONCLUSION The established specific chromatogram method of QHSS is simple, stable and reproducible. The material basis of QHSS reference sample is basically determined, providing a reference for the development and quality control of QHSS.

OBJECTIVE To evaluate the palatability and chewability of chewable tablets， and provide reference for the quality evaluation of various types of chewable tablets. METHODS Using self-made Glucosamine hydrochloride chewable tablets as the model drug， the quality test was conducted. The in vitro simulation system for chewable tablets was established by using a texture analyzer and rheometer， and an oral simulation experiment was conducted on chewable tablets. The texture analyzer was used to measure the force required for chewing and simulate the static disintegration process of chewable tablets； the rheometer was adopted to measure the viscoelasticity， thixotropy， and deformability of chewable tablets during the chewing process. RESULTS The disintegration time limit， principal component content， and dissolution of self-made Glucosamine hydrochloride chewable tablets all met the limit requirements. The in vitro simulation results of the texture analyzer showed that self-made chewable tablets were easy to chew in both axial and radial directions， and the force required for chewing was within the range of the chewing force of the teeth； chewable tablets could disintegrate at an appropriate time without being chewed and only taken in the oral cavity. The in vitro simulation results of the rheometer showed that the chewable tablets in the oral cavity exhibited a behavior of elasticity as the main factor and viscosity as the secondary factor through the continuous stirring of the tongue， and the viscosity of the chewable tablets gradually decreased with tongue stirring or tooth chewing； when chewing with teeth， the internal force of the chewing tablets decreased， causing plastic deformation and crushing. After being crushed， the shape couldn’t be restored， making it easy to chew and swallow. CONCLUSIONS The combination of texture analyzer and rheometer can be used to simulate the oral chewing process and evaluate the palatability and chewability of self-made Glucosamine hydrochloride chewable tablets. This model can provide reference for the evaluation of various chewable tablets.

Objective:To study the clustered regularly interspaced short palindromic repeats (CRISPR) genotype of Yersinia pestis and its regional distribution characteristics in natural plague focus of Tibet Autonomous Region. Methods:A total of 125 representative Yersinia pestis strains isolated from natural plague focus in Tibet Autonomous Region at different times, regions, hosts and vectors were selected as experimental strains, and the phenol chloroform mixed extraction method was used to extract Yersinia pestis DNA. Three pairs of CRISPR primers (for YPa, YPb, YPc locus) were used to amplify the DNA of the experimental strains, and the CRISPR genotype of Yersinia pestis was determined by sequencing. Results:All 125 strains of Yersinia pestis had three CRISPR locus: YPa, YPb, and YPc. A total of 18 spacer were found, including 8 in YPa loci, 6 in YPb loci, and 4 in YPc loci. Two new types of spacers had been discovered, namely b52 and c14. CRISPR typing revealed 10 genotypes, including G1, G7, G7-b4''', G7-b52, G7-c2 -, G8, G22, G22-a4 -, G22-b4''', and G22-c14, of which 6 were newly discovered genotypes. Among the 125 experimental strains, G7 was the main genotype, accounting for 65.6% (82/125), which was distributed in 6 prefecture level citys and 1 region of Tibet Autonomous Region. Next were G22 and G7-c2 - genetypes, accounting for 14.4% (18/125) and 11.2% (14/125), respectively. G22 gene type was distributed in Nagqu, Changdu, Lhasa citys, and Ngari Prefecture, while G7-c2 - genetype was distributed in Shigatse and Shannan cities. Conclusion:The CRISPR locus of Yersinia pestis in natural plague focus of Tibet Autonomous Region is highly polymorphic, and the Yersinia pestis strains with different genotypes have obvious regional distribution characteristics.

AIM: To analyze the correlation between ocular surface status and serum lipids in patients with meibomian gland dysfunction(MGD)during pregnancy, and to provide new ideas for the management and treatment of MGD during pregnancy.METHODS: Totally 120 pregnant women(240 eyes)treated in our hospital from May 2021 to May 2022 were selected and they were divided into MGD group(60 cases, 120 eyes)and control group(60 cases, 120 eyes)according to the presence or absence of MGD. All subjects received the ocular surface disease index scores(OSDI)and underwent examinations of meibomian gland morphology and function, tear film and blood lipid.RESULTS: The scores of OSDI, the related indexes of meibomian gland, corneal fluorescein staining(FL)scores, total cholesterol(TC), triglyceride(TG)and low density lipoprotein-cholesterol(LDL-C)in the MGD group were significantly higher than those in the control group(P<0.05). The scores of fluorescein breakup time(FBUT), Schirmer Ⅰ test(SIt)and high-density lipoprotein cholesterol(HDL-C)in the MGD group were significantly lower than those in the control group(P<0.05). Correlation analysis showed that the scores of TG, TC, LDL-C were negatively correlated with the values of FBUT(rs =-0.702, -0.647, -0.710, all P<0.001).CONCLUSION: The level of blood lipids in pregnant patients with MGD is significantly increased, and the levels of TC, TG and LDL-C may be related to the stability of tear film.

Objective To establish a genetic monitoring method for laboratory quails.Methods Quail microsatellite loci were searched in the literature,and microsatellite DNA loci suitable for quails were screened by an interspecific transfer method in closely related species,namely chickens and ducks.Quail liver DNA was extracted as a template,and the corresponding loci were screened by PCR amplification and agarose gel electrophoresis.On the basis of amplification of the selected microsatellite loci,the number of alleles,polymorphisms,and microsatellite loci combinations for quail genetic quality detection were selected and detection method were developed.Results We preliminary determined 23 microsatellite loci for genetic monitoring of closed-colony laboratory quails.Conclusions A genetic monitoring method for laboratory quails was preliminary developed.

Objective:To evaluate the efficacy and prognostic factors of allogeneic hematopoietic stem cell transplantation (allo-HSCT) in patients with secondary acute myeloid leukemia (sAML) .Methods:In this multicenter, retrospective clinical study, adult patients aged ≥18 years who underwent allo-HSCT for sAML at four centers of the Zhejiang Hematopoietic Stem Cell Transplantation Collaborative Group from January 2014 to November 2022 were included, and the efficacy and prognostic factors of allo-HSCT were analyzed.Results:A total of 95 patients were enrolled; 66 (69.5%) had myelodysplastic syndrome-acute myeloid leukemia (MDS-AML) , 4 (4.2%) had MDS/MPN-AML, and 25 (26.3%) had therapy-related AML (tAML) . The 3-year CIR, LFS, and overall survival (OS) rates were 18.6% (95% CI 10.2%-27.0%) , 70.6% (95% CI 60.8%-80.4%) , and 73.3% (95% CI 63.9%-82.7%) , respectively. The 3-year CIRs of the M-AML group (including MDS-AML and MDS/MPN-AML) and the tAML group were 20.0% and 16.4%, respectively ( P=0.430) . The 3-year LFSs were 68.3% and 75.4%, respectively ( P=0.176) . The 3-year OS rates were 69.7% and 75.4%, respectively ( P=0.233) . The 3-year CIRs of the groups with and without TP53 mutations were 60.0% and 13.7%, respectively ( P=0.003) ; the 3-year LFSs were 20.0% and 76.5%, respectively ( P=0.002) ; and the 3-year OS rates were 40.0% and 77.6%, respectively ( P=0.002) . According to European LeukmiaNet 2022 (ELN2022) risk stratification, the 3-year CIRs of patients in the low-, intermediate-, and high-risk groups were 8.3%, 17.8%, and 22.6%, respectively ( P=0.639) . The three-year LFSs were 91.7%, 69.5%, and 65.6%, respectively ( P=0.268) . The 3-year OS rates were 91.7%, 71.4%, and 70.1%, respectively ( P=0.314) . Multivariate analysis revealed that advanced disease at allo-HSCT and TP53 mutations were independent risk factors for CIR, LFS, and OS. Conclusion:There was no significant difference in the prognosis of patients who underwent allo-HSCT among the MDS-AML, MDS/MPN-AML, and tAML groups. Advanced disease at transplantation and TP53 mutations were poor prognostic factors. ELN2022 risk stratification had limited value for predicting the prognosis of patients with sAML following allo-HSCT.

Objective:To develop and evaluate a nomogram prediction model for poor outcome in patients with minor acute ischemic stroke (MIS) at 90 days after onset.Methods:Patients with MIS admitted to the Second People's Hospital of Hefei from January 2022 to June 2023 were retrospectively enrolled. At 90 days after onset, the modified Rankin Scale was used for outcome evaluation. <2 points were defined as good outcome and ≥2 points were defined as poor outcome. Multivariate logistic regression analysis was used to identify independent risk factors for poor outcome, and a nomogram prediction model was developed based on these factors. Results:A total of 177 patients with MIS were included, of which 61 (34.46%) had poor outcome. Multivariate logistic regression analysis showed that hypertension (odds ratio [ OR] 3.484, 95% confidence interval [ CI] 1.378-8.810; P=0.008), diabetes ( OR 2.936, 95% CI 1.301-6.625; P=0.009), National Institutes of Health Stroke Scale (NIHSS) score at admission ( OR 2.936, 95% CI 1.027-1.709; P=0.031) and systolic blood pressure at admission ( OR 1.083, 95% CI 1.053-1.115; P<0.001) were the independent risk factors for poor outcome. The established nomogram prediction model had a C-index of 0.828 and the area under the curve was 0.841 (95% CI 0.778-0.891). The calibration curve fitted well with the ideal curve. The clinical decision curve showed that the model had stronger clinical applicability. Conclusions:Hypertension, diabetes, NIHSS score and systolic blood pressure at admission are independent risk factors for poor outcome of patients with MIS. The nomogram based on the above factors has higher discriminative power and clinical value for predicting poor outcome in patients with MIS.

Post-stroke depression (PSD) is an important mental complication of stroke, affecting nearly 1/3 of stroke patients, seriously affecting patients' functional recovery and quality of life, and is associated with increased mortality of stroke patients. Traditional antidepressant treatments include medication and psychotherapy, but there may be problems with adverse reactions, tolerance, or limited effectiveness. Repetitive transcranial magnetic stimulation (rTMS), as a non-invasive neuroregulatory technique, offers a new treatment option for patients with PSD. This article reviews the application of rTMS in the treatment of PSD and its possible mechanism.

Objectives:To develop a machine learning prediction model for poor outcome of acute minor ischemic stroke (AMIS) at 90 days after onset and to explain the importance of various risk factors.Methods:Patients with AMIS admitted to the Second People's Hospital of Hefei from June 2022 to December 2023 were included retrospectively. AMIS was defined as the National Institutes of Health Stroke Scale (NIHSS) score ≤5 at admission. According to the modified Rankin Scale score at 90 days after onset, the patients were divided into a good outcome group (<2) and a poor outcome group (≥2). Recursive feature elimination (RFE) method was used to screen characteristic variables of poor outcome. Based on logistic regression (LR), supported vector machine (SVM), and extreme Gradient Boosting (XGBoost) machine learning algorithms, prediction models for poor outcome of AMIS were developed, and the predictive performance of the models was compared by the area under the curve (AUC) of receiver operating characteristic (ROC) curve and the calibration curve. Shapley Additive exPlanations (SHAP) algorithm was used to explain the role of characteristic variables in the optimal prediction model. Results:A total of 225 patients with AMIS were included, of which 152 (67.56%) had good outcome and 73 (32.44%) had poor outcome. Multivariate analysis showed that baseline NIHSS score, baseline systolic blood pressure, hypertension, diabetes, low-density lipoprotein cholesterol, homocysteine, body mass index, D-dimer, and age were the characteristic variables associated with poor outcome in patients with AMIS. The ROC curve analysis shows that the LR model had the best predictive performance (AUC=0.888, 95% confidence interval [ CI] 0.807-0.970), the next was the XGBoost model (AUC=0.888, 95% CI 0.796-0.980), while the SVM model had the lowest performance (AUC=0.849, 95% CI 0.754-0.944). The calibration curve showed that the LR model performed the best in terms of calibration accuracy. SHAP showed that baseline systolic blood pressure, baseline NIHSS score, diabetes, hypertension and body mass index were the top five risk factors for poor outcome of patients with AMIS. Conclusions:The LR algorithm has stable and superior performance in predicting poor outcome of patients with AMIS. Baseline systolic blood pressure, baseline NIHSS score, diabetes, hypertension and body mass index are the important risk factors for poor outcome of patients with AMIS.

Objective To investigate the characteristics of epitope distribution on HLA class Ⅰ antigen in the regular platelet donors from Nanjing area and establish the HLA epitope database for regular platelet donors.Methods High-resolution HLA typing was per-formed using Sanger method for the blood samples from 649 regular platelet donors in Nanjing area.The polymorphism of HLA antigen epitopes corresponding to the high-resolution HLA typing results was analyzed using the HLA Eplet Registry website.The frequencies of allele frequencies,HLA haplotype,and HLA antigen epitope were calculated by using the direct counting method.Results Among the 649 regular platelet donors,38 HLA-A alleles were detected,corresponding to 36 HLA-A epitopes,and the higher frequencies were 79GT,144K and 138MI.Seventy-three HLA-B alleles were detected corresponding to 35 HLA-B epitopes,and the higher frequencies were 131S,69TNT,and 80N.Sixty-four HLA class Ⅰ antigen epitopes were detected,in which the higher frequencies were 79GT,131S,and 144K.Conclusions The distribution of HLA antigen epitopes in the regular platelet donors of Nanjing area exhibited u-nique polymorphic characteristics.The epitope matching strategies should be established based on the distribution characteristics of HLA antigen epitopes,which may expand the range of available donors and reduce the incidence of platelet transfusion refractoriness.