1.Progress and challenges in wastewater-based viral pathogen surveillance
Yongjun ZHANG ; Aiping CHEN ; Yansheng YAN
Chinese Journal of Zoonoses 2025;41(10):1095-1100
Wastewater-based epidemiology(WBE)has emerged in recent years as a crucial complementary tool for tracking the community transmission and infection prevalence of SARS-CoV-2 and other viral pathogens.This short review comprehensively de-scribes the diversity of viruses in wastewater,with a focus on current advancements in aspects including sampling methods,concentra-tion and enrichment strategies,detection approaches,and setting up quality controls for wastewater-based viral pathogen surveillance.The systematic summary of global status,technical progress,and challenges highlights the feasibility of WBE viral surveillance within a One Health framework,thus facilitating use of WBE as a tool for early warning of viral disease outbreaks and predicting epidemic trends in the future.
2.Research Progress on the Application of Hot Melt Extrusion Technology in the Pharmaceutical Industry
Bing YANG ; Peng ZHAO ; Siyi SHUAI ; Xiaoxuan HONG ; Conghui LI ; Hui ZHANG ; Nan LIU ; Zengming WANG ; Jia WEN ; Aiping ZHENG
Herald of Medicine 2025;44(1):73-80
Hot melt extrusion(HME)technology employs thermodynamic and kinetic principles to mix pharmaceutical polymers with crystalline drugs at high temperatures and extrude them,embedding drug molecules within the polymer matrix to form solid dispersions.Due to its solvent-free nature,capability for one-step processing,and support for continuous operation,HME has garnered significant attention in the pharmaceutical industry in recent years.This article introduced the basic principles and development history of HME technology and its marketed drugs.It reviewed the research progress of HME technology in improving drug solubility,masking taste,controlled release,targeted release,oral dispersible films,implant formulations,semi-solid formulations,and 3D printed formulations.Additionally,the article summarized the advantages and limitations of HME technology and provided an outlook on its future development.
3.Progress and challenges in wastewater-based viral pathogen surveillance
Yongjun ZHANG ; Aiping CHEN ; Yansheng YAN
Chinese Journal of Zoonoses 2025;41(10):1095-1100
Wastewater-based epidemiology(WBE)has emerged in recent years as a crucial complementary tool for tracking the community transmission and infection prevalence of SARS-CoV-2 and other viral pathogens.This short review comprehensively de-scribes the diversity of viruses in wastewater,with a focus on current advancements in aspects including sampling methods,concentra-tion and enrichment strategies,detection approaches,and setting up quality controls for wastewater-based viral pathogen surveillance.The systematic summary of global status,technical progress,and challenges highlights the feasibility of WBE viral surveillance within a One Health framework,thus facilitating use of WBE as a tool for early warning of viral disease outbreaks and predicting epidemic trends in the future.
4.Predicting radiation pneumonia in patients with non-small cell lung cancer using a machine learning method based on multidimensional data
Xun WANG ; Tingting BIAN ; Qiang DING ; Shuang GE ; Aiping ZHANG ; Xinshu HAN ; Yueqin CHEN ; Shucheng YE ; Guqing ZHANG ; Junli MA
Chinese Journal of Radiological Medicine and Protection 2025;45(8):774-781
Objective:To develop and validate a combined model integrating radiomics, dosiomics, and clinical parameters based on CT simulation and dosimetric images in order to predict the occurrence of radiation pneumonitis (RP) in patients with non-small cell lung cancer (NSCLC).Methods:A retrospective study was conducted on the clinic data of 143 NSCLC patients who received radiotherapy at the Affiliated Hospital of Jining Medical University from January 2016 to December 2022. Patients were randomly stratified into a training group ( n = 100) and an internal validation group ( n = 43) at a 7∶3 ratio. Moreover, clinic data were collected from 34 NSCLC patients who received radiotherapy at the Jining Cancer Hospital between January 2019 and December 2022 as an external validation group. All three groups (the training group, internal validation, and external validation groups) were further categorized into two groups based on the RP severity (i.e., RP ≥ grade 2 and RP < grade 2). Their radiotherapy dose, CT simulation, and 3D dose distribution images were collected. Then, the total lung minus planning target volume (TL-PTV) was defined as the region of interest (ROI) for radiomics and dosiomic feature extraction, followed by feature dimensionality reduction. Consequently, key features associated with RP were determined. Four predictive models were developed using machine learning approaches (especially multilayer perceptron, MLP): a clinical model (CM), a radiomics model (RM), a dosiomics model (DM), and a radiomics and dosiomics nomogram (RDN), with a nomogram subsequently constructed. Ultimately, the performance and clinical feasibility of these models were assessed using receiver operating characteristic (ROC), area under the curve (AUC), and decision curve analysis (DCA). Results:A total of 1 834 radiomic features and 1 834 dosiomic features were extracted. Using the occurrence of RP ≥ grade 2 as the marker variable, 14 radiomic features, 15 dosiomic features, and three clinical features were selected from the training group to construct the prediction models (CM, RM, DM, and RDN). The performance and generalizability of these models were subsequently validated in both the internal validation and external validation groups. Specifically, the RDN exhibited AUCs of 0.915 (95% CI: 0.852-0.978), 0.879 (95% CI: 0.777-0.982), and 0.838 (95% CI: 0.701-0.975) in the three groups, respectively. A nomogram was established for RDN by integrating the radiomics score (R-score), dosiomics score (D-score), mean lung dose (MLD), V20, and V30. This nomogram allowed for individualized risk estimation of RP and facilitated personalized radiotherapy planning. Conclusions:The RDN model that is developed based on CT simulation and 3D dose distribution images and integrates radiomics, dosiomics, and clinical features can effectively predict the RP risk of NSCLC patients. The integration of multidimensional data contributes to the formation of the optimal predictive model, offering guidance for clinicians.
5.Genomic characterization of group A Streptococcus of different emm-type in Tianjin City from 2011 to 2024
Xiaohui LU ; Wei ZHANG ; Wen LI ; Aiping YU ; Guangwen LIU ; Baolu ZHENG ; Xuan CHEN ; Xin GAO ; Xiaoyan LI
Chinese Journal of Preventive Medicine 2025;59(5):702-709
To characterize the genomes of different emm-type group A Streptococcus (GAS), their virulence genes and drug resistance profiles in Tianjin City from 2011 to 2024. After PCR, a total of 42 strains with different years and emm types were selected for whole genome sequencing and multi-locus sequence typing (MLST), and the core genomes were used to generate a phylogenetic tree, after which the virulence genes and resistance genes were identified and analyzed, followed by the drug susceptibility test. In this study, the GAS strains were dominated by emm1 (50.0%) and emm12 (40.4%), and the MLST phenotypes were categorized into six types: ST36 (40.4%), ST1274 (26.1%), ST28 (23.8%), ST921 (4.7%), ST46 (2.3%), and ST403 (2.3%). There was a high consistency between their emm-types and ST types. A total of 68 virulence genes were detected in the genomes of 42 GAS strains, involving functional genes encoding exotoxin, bacterial adhesion, extracellular enzymes, etc. The virulence genes they carried were significantly different between emm1-type and emm12-type strains, such as speA. At the same time, the carrying rates of some virulence genes in the same emm-type strains changed with time, such as hyl. The resistance genes were basically the same among different emm-type strains except for the vanSE gene detected in all emm12 strains. The results of drug sensitivity showed that the GAS strains isolated in Tianjin City from 2011 to 2024 were sensitive to penicillin, cefazolin, chloramphenicol, vancomycin, and levofloxacin, while the resistance rates to erythromycin, azithromycin, clarithromycin, and clindamycin ranged from 88.5% to 100.0%, and there was a certain degree of consistency between the resistance phenotypes and the detected resistance genes. Overall, the main emm types and evolutionary features of GAS in Tianjin City from 2011 to 2024 were consistent with the dominant types in China, and the carrying rate of virulence genes and drug resistance genes differed significantly among different emm-type strains, and there were continuous evolution and variation in the prevalence of virulence genes in GAS.
6.Progress in the application of poloxamer in new preparation technology
Xue QI ; Yi CHENG ; Nan LIU ; Zengming WANG ; Hui ZHANG ; Aiping ZHENG ; Dongzhou KANG
China Pharmacy 2025;36(5):630-635
Poloxamer, as a non-ionic surfactant, exhibits a unique triblock [polyethylene oxide-poly (propylene oxide)-polyethylene oxide] structure, which endows it with broad application potential in various fields, including solid dispersion technology, nanotechnology, gel technology, biologics, gene engineering and 3D printing. As a carrier, it enhances the solubility and bioavailability of poorly soluble drugs. In the field of nanotechnology, it serves as a stabilizer etc., enriching preparation methods. In gel technology, its self-assembly behavior and thermosensitive properties facilitate controlled drug release. In biologics, it improves targeting efficiency and reduces side effects. In gene engineering, it enhances delivery efficiency and expression levels. In 3D printing, it provides novel strategies for precise drug release control and the production of high-quality biological products. As a versatile material, poloxamer holds promising prospects in the pharmaceutical field.
7.Research Progress on the Application of Hot Melt Extrusion Technology in the Pharmaceutical Industry
Bing YANG ; Peng ZHAO ; Siyi SHUAI ; Xiaoxuan HONG ; Conghui LI ; Hui ZHANG ; Nan LIU ; Zengming WANG ; Jia WEN ; Aiping ZHENG
Herald of Medicine 2025;44(1):73-80
Hot melt extrusion(HME)technology employs thermodynamic and kinetic principles to mix pharmaceutical polymers with crystalline drugs at high temperatures and extrude them,embedding drug molecules within the polymer matrix to form solid dispersions.Due to its solvent-free nature,capability for one-step processing,and support for continuous operation,HME has garnered significant attention in the pharmaceutical industry in recent years.This article introduced the basic principles and development history of HME technology and its marketed drugs.It reviewed the research progress of HME technology in improving drug solubility,masking taste,controlled release,targeted release,oral dispersible films,implant formulations,semi-solid formulations,and 3D printed formulations.Additionally,the article summarized the advantages and limitations of HME technology and provided an outlook on its future development.
8.The chordata olfactory receptor database.
Wei HAN ; Siyu BAO ; Jintao LIU ; Yiran WU ; Liting ZENG ; Tao ZHANG ; Ningmeng CHEN ; Kai YAO ; Shunguo FAN ; Aiping HUANG ; Yuanyuan FENG ; Guiquan ZHANG ; Ruiyi ZHANG ; Hongjin ZHU ; Tian HUA ; Zhijie LIU ; Lina CAO ; Xingxu HUANG ; Suwen ZHAO
Protein & Cell 2025;16(4):286-295
9.Exploration and practice of teaching reform in Synthetic Biology.
Bo ZHANG ; Lianggang HUANG ; Aiping PANG ; Zheyan WU ; Junping ZHOU ; Xue CAI ; Lijuan WANG ; Kun NIU ; Liqun JIN ; Zhiqiang LIU ; Yuguo ZHENG
Chinese Journal of Biotechnology 2025;41(8):3311-3317
Synthetic biology is a crucial tool for the development of the bio-industry and bio-economy, representing a significant aspect of new quality productive forces. As a core course for graduate students in bioengineering, Synthetic Biology plays a vital role in ensuring the supply of essential talents for the development of the bio-industry in the new era. To better serve regional economic development and provide high-level talents for China's progress in the bio-industry, we analyzed typical issues encountered in the past teaching activities, set up a multi-disciplinary teaching team, optimized the course contents, adjusted the teaching mode, and mobilized students' learning interest. With the application of scientific research project as the starting point, we guided students to think and discuss deeply through the simulation of application writing and project defense, which improved students' critical thinking and innovative thinking. With industrialization as a focus, we explored a new training model combining production, education, and research through the joint practice base of the university and enterprises introduced typical cases of biomanufacturing to encourage students to engage in scientific research. The teaching reform significantly enhances the comprehensive abilities and national sentiments of graduate students. This paper hopes to serve as a reference for colleagues engaged in teaching in this field.
Synthetic Biology/education*
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Teaching
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China
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Humans
10.Clinical and pathological features of patients with congenital hepatic fibrosis: An analysis of 26 cases
Shixuan LIU ; Yujiao ZHANG ; Ying ZHENG ; Aiping SONG ; Tailing WANG ; Xiuhong WANG
Journal of Clinical Hepatology 2025;41(11):2317-2322
ObjectivesTo summarize the clinical and pathological features of patients with congenital liver fibrosis (CHF), and to investigate the differences in clinical and pathological features between patients in different age groups. MethodsA retrospective analysis was performed for the clinicopathological data of 26 patients with pathologically confirmed CHF in China-Japan Friendship Hospital from August 2005 to June 2023, and the patients were stratified by age to investigate the clinical and pathological features of patients in different age groups. ResultsAmong the 26 patients, there were 12 male patients and 14 female patients, with an age of onset of 4 — 61 years. There were 19 patients with portal hypertension type (73.08%), 2 patients with cholangitis type (7.69%), 4 patients with mixed type (15.38%), and 1 patient with occult type (3.85%). Of all 26 patients, 4 had unknown clinical symptoms, and among the 22 patients with clear clinical symptoms, 10 (45.45%) attended the hospital due to upper gastrointestinal bleeding caused by portal hypertension. Pathological manifestations included roughly normal liver parenchyma separated by fibrous septa in the portal area, with the presence of abnormal reactive bile duct hyperplasia. Denser fibrous septa and a lack of portal veins with the corresponding caliber were observed in 4 pediatric patients with disease onset before the age of 10 years, with a significant reduction or even disappearance of compensatory thin-walled blood vessels. ConclusionPortal hypertension-type CHF is the most common type in clinical practice. Patients with an early age of onset have certain histopathological features of the liver, with the presence of serious complications associated with portal hypertension. Therefore, liver biopsy should be performed for patients suspected of CHF in clinical practice, and genetic testing should be performed when necessary. Early identification and diagnosis are of great importance for improving the prognosis of patients.

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