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* ; Teaching ; China ; Humans

Objective:To analyze the distribution and epidemiological characteristics of common non-bacterial pathogens in hospitalized children with acute respiratory tract infections(ARTI)from a multi-center study covering 4 regions in Fujian Province in 2023.Methods:A retrospective cohort study was conducted using medical record analysis.A total of 22 769 hospitalized children with ARTI were enrolled from January to December 2023 across seven regional pediatric medical centers in Fujian Province (covering four major geographical divisions of Fuzhou, Nanping, Sanming and Longyan; all selected hospitals were regional children′s medical centers).Using single-tube multiplex PCR with fragment analysis on a Sanger sequencing platform, the nucleic acids of 11 common non-bacterial respiratory pathogens were tested in nasopharyngeal swabs collected from 22 769 children. These pathogens included influenza A virus(FluA), influenza B virus(FluB), parainfluenza virus(PIV), respiratory syncytial virus (RSV), adenovirus (ADV), human rhinovirus (HRV), human bocavirus (HBoV), human coronavirus (HCoV), human metapneumovirus(HMPV), Mycoplasma pneumoniae(MP), and Chlamydia (Ch). Count data were described as [ n(%)], and the chi-square test/Fisher′s exact test was used to compare the differences in rates between groups. Epidemiological features, including positive detection rates, pathogen profiles, and correlations with region, sex, age and month, were analyzed. Results:Among 22 769 children with ARTI, pathogens were detected in 16 213 cases (71.21%), including 13 340 single infections (58.59%).The detection rates of single pathogens in descending order were human rhinovirus (HRV, 12.95%), Mycoplasma pneumoniae(MP, 12.27%), respiratory syncytial virus(RSV, 11.12%), influenza A virus (Flu-A, 7.98%), parainfluenza virus(PIV, 4.66%), human metapneumovirus(HMPV, 4.60%), adenovirus(ADV, 2.70%), human bocavirus(HBoV, 0.84%), human coronavirus(HCoV, 0.82%), influenza B virus(Flu-B, 0.47%) and Chlamydia(Ch, 0.18%).Mixed infections occurred in 2 873 cases(12.62%), primarily dual infections(2 679 cases).Regional analysis revealed significant disparities:Luoyuan County Hospital (Fuzhou) exhibited the highest total detection rate(86.59%, 1 414/1 633)and mixed infection rate(23.27%, 380/1 633)(both P<0.001), with notably elevated MP (26.39%, 431/1 633);Jian′ou City Hospital(Nanping) ranked second for Flu-A(14.21%, 409/2 879), RSV(13.20%, 380/2 879) and mixed infections(17.12%, 493/2 879);Lianjiang County Hospital(Fuzhou) showed distinct prevalence of Flu-A(10.68%, 130/1 217), PIV(6.00%, 73/1 217), and HBoV(1.73%, 21/1 217); Yong′an City Hospital (Sanming) reported high MP (26.07%, 238/913) and RSV(12.38%, 113/913);Shaowu City Hospital(Nanping) was dominated by MP (18.60%, 407/2 188) and HRV(13.39%, 293/2 188); Tingzhou Hospital(Longyan) had the highest HRV (17.88%, 407/2 276) and Flu-B (0.75%, 17/2 276); and Fuzhou Children′s Hospital showed elevated ADV(3.38%, 394/11 663) and HCoV(1.08%, 126/11 663). Except for Flu-B(0.47%, 108/22 769; P=0.054) and Ch(0.18%, 40/22769; P=0.900), all pathogens and mixed infections exhibited significant regional variations ( P<0.05).Gender analysis indicated higher detection rates of HRV, RSV, Flu-A, ADV, PIV, HBoV and mixed infections in males, while MP, HMPV, Flu-B, HCoV, and Ch were more prevalent in females, with statistically significant differences for HRV and MP (both P<0.001). Age stratification showed the highest overall detection rate in the 3-<6 years group (75.48%; P<0.001): RSV and Ch peaked in infants (<1 year), HRV, PIV, ADV and HBoV in toddlers (1-<3 years), HMPV, HCoV, and mixed infections in preschool children (3-<6 years), and MP, Flu-A and Flu-B in older children (6-<18 years).Analyzing the prevalent months, the monthly prevalence trends of pathogens in various regions are similar.Seasonal trends demonstrated year-round HRV activity (peaking in spring/autumn), MP prevalence in autumn/winter, RSV surges in spring-summer (April-June) and late summer-autumn (August-October), and Flu-A predominanced in winter-spring. Conclusion:Multiplex PCR with fragment analysis demonstrated high diagnostic efficacy. The top 4 non-bacterial pathogens in Fujian Province′s ARTI-hospitalized children in 2023 were HRV, MP, RSV and Flu-A. Pathogen distribution exhibited significant regional, age and seasonal variations, emphasizing the need for targeted prevention strategies.

Objective:To develop a treatment-related quality of life scale for Chinese patients with multiple myeloma (MM) and to test its reliability and validity.Methods:The initial scale was constructed through a literature search, Delphi expert correspondence, and cognitive testing. This study conducted a preliminary survey of 379 patients with MM and a formal survey of 865 patients from the hematology departments of 155 hospitals nationwide from February 2024 to March 2024. The final scale was obtained after conducting item analysis and reliability and validity tests on the initial scale.Results:The constructed scale contains 36 items covering six domains: physiological, psychological, social, treatment side effects, general health, and others. In the preliminary survey, the Cronbach’s alpha coefficient of each item ranged from 0.597 to 0.939, and the test-retest reliability was 0.747 ( P<0.001). Exploratory factor analysis extracted eight common factors with a cumulative variance contribution of 60.058%. In the formal survey, the Cronbach’s alpha coefficient of each item ranged from 0.484 to 0.930, and the test-retest reliability was 0.835 ( P<0.001). Confirmatory factor analysis revealed a comparative fit index of 0.750, a root-mean-square error of approximation of 0.090, and a root-mean-square residual of 0.067. Conclusion:The treatment-related quality of life scale for Chinese patients with MM designed in this study exhibited good reliability and validity, reflecting the impact of treatment on the quality of life of patients. This scale can provide a reference to clinicians for assessing the disease status of patients.

Schizophrenia is a common, severe, and complex psychiatric disorder worldwide. Genetic factors account for around 80% of the etiology of schizophrenia, yet objective diagnostic biomarkers remain lacking. This article reports two cases of female monozygotic twins diagnosed with schizophrenia, exhibiting a balanced translocation between 22q11.2 and 4p15.3. Reviewing the literature, we analyze and discuss the correlation between chromosomal balanced translocation regions and the pathogenesis of mental disorders. This aims to encourage psychiatrists to consider new perspectives on the diagnosis of schizophrenia.

Objective To systematically search the research literature related to the application of machine learning models in hospice care,with a view to providing references for clinical practice.Methods A systematic search of Wanfang database,CNKI,VIP database,China Biomedical Literature Database,PubMed,Embase,Scopus,Cochrane Library,Web of Science,and CINAHL was conducted in accordance with the methodology of the scoping review as a guideline,with the timeframe of searching from the establishment of the database to August 30,2024,and the included literature was screened,summarized,extracted,and analyzed.Results Totally 17 studies were included.Analysis revealed that supervised machine learning algorithms(including random forest,decision tree,and neural networks)predominated in palliative care applications.Data sources and collection methods varied widely,with models applied across diverse scenarios.Model functions include assessing hospice needs,predicting a patient's risk of death,assisting with symptom management,analyzing hospice communication content,and more.Conclusion Machine learning models in palliative care demonstrate considerable utility and broad applicability.Future research should enhance data quality,optimize model development workflows,and improve model performance.

Objective:To analyze the distribution and epidemiological characteristics of common non-bacterial pathogens in hospitalized children with acute respiratory tract infections(ARTI)from a multi-center study covering 4 regions in Fujian Province in 2023.Methods:A retrospective cohort study was conducted using medical record analysis.A total of 22 769 hospitalized children with ARTI were enrolled from January to December 2023 across seven regional pediatric medical centers in Fujian Province (covering four major geographical divisions of Fuzhou, Nanping, Sanming and Longyan; all selected hospitals were regional children′s medical centers).Using single-tube multiplex PCR with fragment analysis on a Sanger sequencing platform, the nucleic acids of 11 common non-bacterial respiratory pathogens were tested in nasopharyngeal swabs collected from 22 769 children. These pathogens included influenza A virus(FluA), influenza B virus(FluB), parainfluenza virus(PIV), respiratory syncytial virus (RSV), adenovirus (ADV), human rhinovirus (HRV), human bocavirus (HBoV), human coronavirus (HCoV), human metapneumovirus(HMPV), Mycoplasma pneumoniae(MP), and Chlamydia (Ch). Count data were described as [ n(%)], and the chi-square test/Fisher′s exact test was used to compare the differences in rates between groups. Epidemiological features, including positive detection rates, pathogen profiles, and correlations with region, sex, age and month, were analyzed. Results:Among 22 769 children with ARTI, pathogens were detected in 16 213 cases (71.21%), including 13 340 single infections (58.59%).The detection rates of single pathogens in descending order were human rhinovirus (HRV, 12.95%), Mycoplasma pneumoniae(MP, 12.27%), respiratory syncytial virus(RSV, 11.12%), influenza A virus (Flu-A, 7.98%), parainfluenza virus(PIV, 4.66%), human metapneumovirus(HMPV, 4.60%), adenovirus(ADV, 2.70%), human bocavirus(HBoV, 0.84%), human coronavirus(HCoV, 0.82%), influenza B virus(Flu-B, 0.47%) and Chlamydia(Ch, 0.18%).Mixed infections occurred in 2 873 cases(12.62%), primarily dual infections(2 679 cases).Regional analysis revealed significant disparities:Luoyuan County Hospital (Fuzhou) exhibited the highest total detection rate(86.59%, 1 414/1 633)and mixed infection rate(23.27%, 380/1 633)(both P<0.001), with notably elevated MP (26.39%, 431/1 633);Jian′ou City Hospital(Nanping) ranked second for Flu-A(14.21%, 409/2 879), RSV(13.20%, 380/2 879) and mixed infections(17.12%, 493/2 879);Lianjiang County Hospital(Fuzhou) showed distinct prevalence of Flu-A(10.68%, 130/1 217), PIV(6.00%, 73/1 217), and HBoV(1.73%, 21/1 217); Yong′an City Hospital (Sanming) reported high MP (26.07%, 238/913) and RSV(12.38%, 113/913);Shaowu City Hospital(Nanping) was dominated by MP (18.60%, 407/2 188) and HRV(13.39%, 293/2 188); Tingzhou Hospital(Longyan) had the highest HRV (17.88%, 407/2 276) and Flu-B (0.75%, 17/2 276); and Fuzhou Children′s Hospital showed elevated ADV(3.38%, 394/11 663) and HCoV(1.08%, 126/11 663). Except for Flu-B(0.47%, 108/22 769; P=0.054) and Ch(0.18%, 40/22769; P=0.900), all pathogens and mixed infections exhibited significant regional variations ( P<0.05).Gender analysis indicated higher detection rates of HRV, RSV, Flu-A, ADV, PIV, HBoV and mixed infections in males, while MP, HMPV, Flu-B, HCoV, and Ch were more prevalent in females, with statistically significant differences for HRV and MP (both P<0.001). Age stratification showed the highest overall detection rate in the 3-<6 years group (75.48%; P<0.001): RSV and Ch peaked in infants (<1 year), HRV, PIV, ADV and HBoV in toddlers (1-<3 years), HMPV, HCoV, and mixed infections in preschool children (3-<6 years), and MP, Flu-A and Flu-B in older children (6-<18 years).Analyzing the prevalent months, the monthly prevalence trends of pathogens in various regions are similar.Seasonal trends demonstrated year-round HRV activity (peaking in spring/autumn), MP prevalence in autumn/winter, RSV surges in spring-summer (April-June) and late summer-autumn (August-October), and Flu-A predominanced in winter-spring. Conclusion:Multiplex PCR with fragment analysis demonstrated high diagnostic efficacy. The top 4 non-bacterial pathogens in Fujian Province′s ARTI-hospitalized children in 2023 were HRV, MP, RSV and Flu-A. Pathogen distribution exhibited significant regional, age and seasonal variations, emphasizing the need for targeted prevention strategies.

Creutzfeldt-Jakob disease(CJD)is a rapidly progressive and fatal neurodegenerative disorder caused by prions,with certain infectivity and iatrogenic transmission risks.With the rapid progress and application of new dia-gnostic biomarkers and detection methods,as well as the construction and improvement of surveillance and reporting systems,the detection of CJD in patients domestically and internationally has shown an increasing trend year by year.Due to its long incubation period and heterogeneity of early symptoms,early identification and diagnosis of the disease is difficult,increasing the risk of transmission within medical institutions.Currently,there is a lack of con-sensus on the infection prevention and control of CJD.In order to timely identify and diagnose CJD as well as effec-tively block its transmission in medical institutions,this consensus summarizes 15 clinical concerns and formulates 24 specific recommendations based on the latest domestic and international research findings and clinical evidence,as well as combines with clinical practice,aiming to standardize healthcare-associated infection prevention and control measures for CJD and reduce its transmission risk in medical institutions.

Objective:To investigate the efficacy of the ABC-X model-based nursing in patients with vitiligo undergoing autologous cell-spray grafting of non-cultured epidermal cells (Recell technique) .Methods:A total of 84 vitiligo patients treated with ReCell technique admitted to the Department of Dermatology of the First Affiliated Hospital of Zhengzhou University from February 2022 to February 2024 were selected for the study using the convenience sampling method. The patients were divided into observation group (42 cases) and control group (42 cases) according to randomized numerical table method. Control group received conventional nursing, and observation group was treated with ABC-X model-based nursing on the basis of control group. The Self-rating Anxiety Scale (SAS), Self-rating Depression Scale (SDS), Trait Coping Style Questionnaire (TCSQ), and Dermatology Life Quality Index (DLQI) scores were compared between the two groups before and after the intervention.Results:After the intervention, the SAS and SDS scores of observation group were lower than those of control group, and the differences were statistically significant (all P<0.05). After the intervention, the positive coping score in TCSQ of observation group was higher than that of control group, and the negative coping score was lower than that of control group, and the differences were all statistically significant (all P<0.05). After the intervention, the total DLQI score of observation group was lower than that of control group, and the difference was statistically significant ( P<0.05) . Conclusions:The nursing based on ABC-X model in vitiligo patients treated with ReCell technique can improve patients' psychological conditions, promote positive coping, and enhance the quality of life, which is worthy of popularization and application.

Creutzfeldt-Jakob disease(CJD)is a rapidly progressive and fatal neurodegenerative disorder caused by prions,with certain infectivity and iatrogenic transmission risks.With the rapid progress and application of new dia-gnostic biomarkers and detection methods,as well as the construction and improvement of surveillance and reporting systems,the detection of CJD in patients domestically and internationally has shown an increasing trend year by year.Due to its long incubation period and heterogeneity of early symptoms,early identification and diagnosis of the disease is difficult,increasing the risk of transmission within medical institutions.Currently,there is a lack of con-sensus on the infection prevention and control of CJD.In order to timely identify and diagnose CJD as well as effec-tively block its transmission in medical institutions,this consensus summarizes 15 clinical concerns and formulates 24 specific recommendations based on the latest domestic and international research findings and clinical evidence,as well as combines with clinical practice,aiming to standardize healthcare-associated infection prevention and control measures for CJD and reduce its transmission risk in medical institutions.

Objective To systematically search the research literature related to the application of machine learning models in hospice care,with a view to providing references for clinical practice.Methods A systematic search of Wanfang database,CNKI,VIP database,China Biomedical Literature Database,PubMed,Embase,Scopus,Cochrane Library,Web of Science,and CINAHL was conducted in accordance with the methodology of the scoping review as a guideline,with the timeframe of searching from the establishment of the database to August 30,2024,and the included literature was screened,summarized,extracted,and analyzed.Results Totally 17 studies were included.Analysis revealed that supervised machine learning algorithms(including random forest,decision tree,and neural networks)predominated in palliative care applications.Data sources and collection methods varied widely,with models applied across diverse scenarios.Model functions include assessing hospice needs,predicting a patient's risk of death,assisting with symptom management,analyzing hospice communication content,and more.Conclusion Machine learning models in palliative care demonstrate considerable utility and broad applicability.Future research should enhance data quality,optimize model development workflows,and improve model performance.