Objective To analyze the newly reported HIV-1 infection in several prefectures of Hubei Province，and analyze its influencing factors. Methods The limiting antigen avidity enzyme immunoassay(LAg-avidity EIA,LAg) was conducted on HIV-1 positive samples confirmed by Western blot of Hubei in 2017-2022. The demographic characteristics of the newly infected samples were analyzed by χ2 test.Logistic regression model was used to analyze influencing factors of new infection rate and predict the factors associated with the HIV-1 recent infection. Results There were 403 new cases of HIV-1 from 2017 to 2022 in several prefectures of Hubei Province, of which 77 were newly infected sorted by LAg,with a new infection rate of 19.11%. The newly confirmed HIV-1 persons of whom aged ≤24 years (40.00% new infection ratio), unmarried (29.41%), college or above (31.37%), and from Voluntary counseling and testing testing(VCT) clinics (40.00%) had a higher proportion of new infections, and the difference was statistically significant. Multivariate Logistic regression analysis showed that age ≤24 years old (aOR=4.346,95%CI: 1.342-14.075) and screening from the VCT clinic (aOR=6.761,95%CI: 1.460-31.319) were more likely to be newly infected. Conclusion The proportion of new HIV infection in several prefectures of Hubei province is relatively low in recent years.Further effective publicity and intervention measures for young students and the construction of VCT clinic should be continuously promoted to achieve early diagnosis and treatment.

Objective To establish the reference interval of urine Alzheimer-associated neuronal thread protein(AD7c-NTP)for healthy adults in Mianyang area using the indirect method.Methods The detection results of urine AD7c-NTP from 5 093 healthy in-dividuals were collected from the information management database of Medical Laboratory Department of Sichuan Science City Hospital from March 2017 to March 2022.Skewness-kurtosis and Kolmogorov-Smirnov tests were used to determine whether the data followed a normal distribution.After removing outliers using the Box Plots method,the enrolled subjects were grouped by gender and age.The Mann-Whitney U or Kruska-Wallis H tests were used to analyze the between-group differences of urine AD7c-NTP in healthy individu-als with different genders and ages.The adjacent age groups without statistically significant difference(P＞0.05)were combined,and the indirect method(non-parametric test method)was used to calculate the reference intervals for different gender and age groups.Results Skewness-kurtosis and Kolmogorov-Smirnov tests showed that the data followed a non-normal distribution.After removing 293 outliers using the Box Plots method,a total of 4 800 subjects,including 3 199 males and 1 601 females,were enrolled.The enrolled subjects were grouped by gender and age,and the non-parametric test method were used to establish the reference intervals of urine AD7c-NTP in healthy populations with different genders.The Mann-Whitney U test confirmed that urine AD7c-NTP levels existed gen-der differences(Z=14.09,P＜0.01),and the reference intervals for males and females were≤1.10 ng/mL and≤1.40 ng/mL,re-spectively.There were also statistical differences in urine AD7c-NTP levels among different age groups of the same gender.After combi-ning adjacent age groups without statistically significant difference(P＞0.05),the reference intervals of urine AD7c-NTP in healthy populations with different genders and ages were established by the non-parametric test method,which were≤1.00 ng/mL for male 20-39 years old group,≤1.10 ng/mL for male 40-79 years old group,≤1.60 ng/mL for male≥80 years old group,≤1.30 ng/mL for female 20-69 years old group,and≤1.60 ng/mL for female≥70 years old group,respectively.The established reference intervals of urine AD7c-NTP were further verified by healthy individuals,and the results met the standards.Conclusion The reference intervals of urine AD7c-NTP in healthy populations with different genders and ages in Mianyang area are established successfully using the indi-rect method,which may help to predict the risk of Alzheimer's disease in clinical practice and provide support for the diagnosis and treatment of the disease.

Echinocandin B (ECB) is a key precursor of the antifungal drug anidulafungin. It is a secondary metabolite of Aspergillus nidulans, and its titer in fermentation is significantly affected by the ECB synthesis pathway and cell morphology. In this study, the key genes related to the transcription activation, hydroxylation, and cell morphology during ECB biosynthesis were investigated to increase the fermentation titer of ECB and to change the cell morphology of Aspergillus nidulans to reduce the viscosity of the fermentation broth. The results indicated that after overexpression of ecdB and ecdK, the ECB titer increased by 25.8% and 23.7%, respectively, compared with that of the wild-type strain, reaching (2 030.5±99.2) mg/L and (1 996.4±151.4) mg/L. However, the deletion of fksA associated with cell wall synthesis resulted in damage to the cell wall, affecting strain growth and product synthesis. The engineered strain overexpressing ecdB was fermented in a 50-L bioreactor, in which the ECB titer reached 2 234.5 mg/L. The findings laid a research foundation for the subsequent metabolic engineering of this strain.
Fermentation ; Aspergillus nidulans/genetics* ; Echinocandins/genetics* ; Bioreactors/microbiology* ; Fungal Proteins/biosynthesis* ; Metabolic Engineering

Objective To establish the reference interval of urine Alzheimer-associated neuronal thread protein(AD7c-NTP)for healthy adults in Mianyang area using the indirect method.Methods The detection results of urine AD7c-NTP from 5 093 healthy in-dividuals were collected from the information management database of Medical Laboratory Department of Sichuan Science City Hospital from March 2017 to March 2022.Skewness-kurtosis and Kolmogorov-Smirnov tests were used to determine whether the data followed a normal distribution.After removing outliers using the Box Plots method,the enrolled subjects were grouped by gender and age.The Mann-Whitney U or Kruska-Wallis H tests were used to analyze the between-group differences of urine AD7c-NTP in healthy individu-als with different genders and ages.The adjacent age groups without statistically significant difference(P＞0.05)were combined,and the indirect method(non-parametric test method)was used to calculate the reference intervals for different gender and age groups.Results Skewness-kurtosis and Kolmogorov-Smirnov tests showed that the data followed a non-normal distribution.After removing 293 outliers using the Box Plots method,a total of 4 800 subjects,including 3 199 males and 1 601 females,were enrolled.The enrolled subjects were grouped by gender and age,and the non-parametric test method were used to establish the reference intervals of urine AD7c-NTP in healthy populations with different genders.The Mann-Whitney U test confirmed that urine AD7c-NTP levels existed gen-der differences(Z=14.09,P＜0.01),and the reference intervals for males and females were≤1.10 ng/mL and≤1.40 ng/mL,re-spectively.There were also statistical differences in urine AD7c-NTP levels among different age groups of the same gender.After combi-ning adjacent age groups without statistically significant difference(P＞0.05),the reference intervals of urine AD7c-NTP in healthy populations with different genders and ages were established by the non-parametric test method,which were≤1.00 ng/mL for male 20-39 years old group,≤1.10 ng/mL for male 40-79 years old group,≤1.60 ng/mL for male≥80 years old group,≤1.30 ng/mL for female 20-69 years old group,and≤1.60 ng/mL for female≥70 years old group,respectively.The established reference intervals of urine AD7c-NTP were further verified by healthy individuals,and the results met the standards.Conclusion The reference intervals of urine AD7c-NTP in healthy populations with different genders and ages in Mianyang area are established successfully using the indi-rect method,which may help to predict the risk of Alzheimer's disease in clinical practice and provide support for the diagnosis and treatment of the disease.

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

Objective To propose a two-stage breast cancer histopathological image classification method based on CNN and Transformer to improve the accuracy of breast cancer histopathological image classification.Methods Firstly,Macenko normalization and color deconvolution were used to process breast cancer histopathological images to reduce pixel differences.Secondly,a dual-branch feature extraction path based on CNN and Transformer was constructed to extract local and global features of breast cancer histopathological images,respectively.Thirdly,local and global features were effectively fused based on BiFusion mechanism to enhance the expressive power of the features;finally,the BreakHis dataset was applied to validating the method proposed.Results The method achieved AUC values of 0.991,0.982,0.982 and 0.963 for the 40×,100×,200× and 400× magnifications on the BreakHis dataset,respectively,with high overall performance.Conclusion The proposed classi-fication method is of high value for the classification of breast cancer histopathological images.[Chinese Medical Equipment Journal,2024,45(12):1-8]

Objective To propose a two-stage breast cancer histopathological image classification method based on CNN and Transformer to improve the accuracy of breast cancer histopathological image classification.Methods Firstly,Macenko normalization and color deconvolution were used to process breast cancer histopathological images to reduce pixel differences.Secondly,a dual-branch feature extraction path based on CNN and Transformer was constructed to extract local and global features of breast cancer histopathological images,respectively.Thirdly,local and global features were effectively fused based on BiFusion mechanism to enhance the expressive power of the features;finally,the BreakHis dataset was applied to validating the method proposed.Results The method achieved AUC values of 0.991,0.982,0.982 and 0.963 for the 40×,100×,200× and 400× magnifications on the BreakHis dataset,respectively,with high overall performance.Conclusion The proposed classi-fication method is of high value for the classification of breast cancer histopathological images.[Chinese Medical Equipment Journal,2024,45(12):1-8]

Humans ; Muscular Dystrophy, Duchenne/epidemiology* ; Prevalence ; Myocardium

Polymorphism refers to the simultaneous and frequent existence of two or more discontinuous variants or genotypes or alleles in a biological population, also known as genetic polymorphisms or genes Polymorphism. This gene polymorphism may have a certain degree of influence on the pharmacokinetics and pharmacodynamics of the drug. The study of genomics plays an important role in realizing personalized, patient-oriented precision medicine treatment. Population model analysis is to use a modeling method to quantitatively describe the correlation and variability between pharmacokinetic and pharmacodynamic parameters and individual characteristics and to quantify the impact of covariates. At present, this method has been widely used. This paper systematically introduces the application examples of using the population model approach to assess the effects of genetic polymorphisms on the drug PK/PD.

We used metabolomics to investigate the ability of a traditional Mongolian medicine called modified Tabusen-2 (MT-2) to improve kidney yang deficiency (KYD) in rats. All animal experiments were conducted under the guidance and standards of the Medical Ethics Committee of Inner Mongolia Medical University. SD rats were divided into 6 groups of six rats: a normal group, a model group, Jinkuishenqi pill administration group (1.26 g·kg^-1), and MT-2 administration in high-, medium- and low-dose groups (1.512, 0.756, and 0.378 g·kg^-1). KYD was established by intramuscular injection of hydrocortisone (HC) and biochemical indicators and clinical characterization was used to confirm that KYD was established. All groups received intragastrically administered drug (Jinkuishenqi pill or MT-2) or saline. Serum from each group was collected after 8 weeks and analyzed by UPLC-Q-exactive-MS to measure various biochemical indicators. The biomarkers affected by MT-2 were identified and the metabolic pathways of KYD regulated by MT-2 were analyzed by metabolomic analysis. The results show that MT-2 can decrease serum creatinine (Cr) in KYD rats and significantly increase (P<0.05) the content of thyroid stimulating hormone (TSH) and luteinizing hormone (LH). In serum samples, 38 biomarkers such as corticosterone, L-phenylalanine, and DL-tryptophan were measured as possible indicators for disease development in KYD rats. MT-2 lowered 18 biomarkers of KYD, including corticosterone, deoxycorticosterone, and L-phenylalanine, and altered 13 related metabolic pathways including phenylalanine, tyrosine and tryptophan biosynthesis, phenylalanine metabolism and steroid hormone biosynthesis, resulting in an overall improvement in KYD. MT-2 appears to be important in improving KYD in rats mainly by regulating metabolites such as amino acids, steroids and lipids.