1.Retrospective analysis of a tuberculosis outbreak among junior high school students in Chongqing
LI Jianqiong, ZHANG Ting, CHEN Aihua, WANG Qingya, ZHANG Ya, CHEN Jian, TANG Jie, LI Liang
Chinese Journal of School Health 2026;47(5):741-746
Objective:
To analyze changes in tuberculosis infection among junior high school students before and after tuberculosis exposure, so as to provide a reference for improving school tuberculosis prevention and control measures and policy formulation.
Methods:
Retrospectively collect data on a tuberculosis outbreak that occurred in a grade of a junior high school in Chongqing in 2025, including tuberculosis screening records of students in this grade upon their enrollment in 2022 (1 156 students) and after two tuberculosis outbreaks in 2023 (206 students) and 2025 (171 students). The Wilcoxon signed rank test for paired design was used to compare the induration diameters of the subjects, and the Chi square test was adopted to analyze the rate of tuberculosis infection among students.
Results:
In the tuberculosis outbreak in 2023, the rate of tuberculosis infection among close contacts ( 11.84 %) and the rate of tuberculosis infection among freshrman at school enrollment (12.89%) showed no statistically significant difference ( χ 2=0.25, P >0.05). The rate of tuberculosis infection of close contacts in the 2025 tuberculosis outbreak (55.56%) was higher than that in the 2023 outbreak (11.84%) ( χ 2=30.42, P <0.01). Among the 106 students included in the cohort analysis, the median induration diameter was 3.50 (1.50, 7.50) mm in 2023 and 8.75 (4.25, 11.50) mm in 2025, with a statistically significant difference ( Z=-5.76, P <0.01). There was no statistically significant difference between the infection rate in 2022 (16.98%) and that in 2023 (10.38%) ( χ 2=1.96, P =0.16). The infection rate in 2025 (43.40%) was higher than those in 2022 and 2023 ( χ 2=17.55, 29.39, both P <0.017). The seroconversion rate of students in the same class in 2025 ( 58.00 %) was higher than that of students in different classes (16.07%), with a statistically significant difference ( χ 2=20.19, P <0.01). All 72 individuals with latent tuberculosis infections identified during the pandemic in 2023 and 2025 refused to undergo prophylactic treatment.
Conclusions
The lack of preventive treatment may be the underlying cause of the successive outbreaks during the epidemic. Early detection of infection sources and standardized outbreak management are crucial to controlling the spread of the epidemic.
2.Transient Expression of Monkeypox Virus Recombinant Protein B6R-Fer in Nicotiana benthamiana
Ya-Hui WU ; Yan-Ting QI ; Yu-Han WANG ; Wei-Song PAN ; Jian QIU ; Chuan WU
Chinese Journal of Biochemistry and Molecular Biology 2025;41(9):1342-1348
Monkeypox is a viral zoonotic disease,and there is currently a lack of safe and effective vac-cines against the monkeypox virus.Therefore,screening and developing vaccine candidates is of signifi-cant practical importance.With the rapid advancement of molecular biology and plant genetic engineer-ing,plant bioreactors offer promising potential for producing vaccine proteins due to their advantages,in-cluding safety,cost-effectiveness,and scalability.In this study,we focused on the monkeypox protein B6R.The recombinant expression plasmid pFolia40108-B6R-Fer was successfully constructed using am-plification,enzyme digestion,and flexible linker tandem ferritin technology.A complete transient expres-sion system in Nicotiana benthamiana and a purification system for the recombinant monkeypox protein were established.The optimal expression time was determined to be 12-14 days,with a final purified pro-tein concentration of approximately 1 mg/mL and a yield of 0.85 mg/kg fresh weight.The purified B6R-Fer recombinant protein self-assembled into spherical virus-like particles(VLPs)with an average particle size of 24 nm.The B6R-Fer recombinant protein from this study shows promising potential for use in the development and screening of plant-derived monkeypox vaccine candidates.
3.Transient Expression of Monkeypox Virus Recombinant Protein B6R-Fer in Nicotiana benthamiana
Ya-Hui WU ; Yan-Ting QI ; Yu-Han WANG ; Wei-Song PAN ; Jian QIU ; Chuan WU
Chinese Journal of Biochemistry and Molecular Biology 2025;41(9):1342-1348
Monkeypox is a viral zoonotic disease,and there is currently a lack of safe and effective vac-cines against the monkeypox virus.Therefore,screening and developing vaccine candidates is of signifi-cant practical importance.With the rapid advancement of molecular biology and plant genetic engineer-ing,plant bioreactors offer promising potential for producing vaccine proteins due to their advantages,in-cluding safety,cost-effectiveness,and scalability.In this study,we focused on the monkeypox protein B6R.The recombinant expression plasmid pFolia40108-B6R-Fer was successfully constructed using am-plification,enzyme digestion,and flexible linker tandem ferritin technology.A complete transient expres-sion system in Nicotiana benthamiana and a purification system for the recombinant monkeypox protein were established.The optimal expression time was determined to be 12-14 days,with a final purified pro-tein concentration of approximately 1 mg/mL and a yield of 0.85 mg/kg fresh weight.The purified B6R-Fer recombinant protein self-assembled into spherical virus-like particles(VLPs)with an average particle size of 24 nm.The B6R-Fer recombinant protein from this study shows promising potential for use in the development and screening of plant-derived monkeypox vaccine candidates.
4.Application of SPOC combined with PBL teaching mode in pediatric resident physician training based on post competence
Xi LIANG ; Ting YANG ; Ya WANG
Journal of Shenyang Medical College 2025;27(1):79-83,107
Objective:To explore the effect of SPOC combined with PBL teaching mode based on post competence in the training of pediatric resident physicians.Methods:Sixty trainees who participated in the standardized residency training for pediatric healthcare in the Department of Pediatrics of our hospital from Jan 2020 to Dec 2022 were selected.Based on different teaching plans,they were divided into the control group and the observation group,with 30 trainees in each group.The control group received PBL teaching mode and the observation group received SPOC combined with PBL teaching mode based on post competence.A comprehensive assessment of the participants was conducted through theoretical knowledge and practical skills scores,self-evaluation of post competence before and after standardized training,and subjective evaluation questionnaires of training methods.Results:The scores of theoretical knowledge and practical skills,and total score in the observation group were higher than those in the control group(P<0.05).After standardized training,both groups showed a significant improvement in self-assessment scores in clinical basic competence,professional spirit and quality,and doctor-patient communication skills compared with before standardized training(P<0.05),and the above scores in the observation group were higher than those in the control group(P<0.05).The self-assessed total score of post competence after standardized training was positively correlated with the total score of subjective evaluation questionnaire(r=0.546,P<0.05)and showed no significant correlation with the students'exam scores(P>0.05).Conclusions:The SPOC combined with PBL teaching mode based on post competence demonstrates promising prospects in the training of pediatric resident physicians.Under this new mode,trainees exhibit superior mastery of theoretical knowledge,application of practical skills,and development of post competence.
5.Dorsal CA1 NECTIN3 Reduction Mediates Early-Life Stress-Induced Object Recognition Memory Deficits in Adolescent Female Mice.
Yu-Nu MA ; Chen-Chen ZHANG ; Ya-Xin SUN ; Xiao LIU ; Xue-Xin LI ; Han WANG ; Ting WANG ; Xiao-Dong WANG ; Yun-Ai SU ; Ji-Tao LI ; Tian-Mei SI
Neuroscience Bulletin 2025;41(2):243-260
Early-life stress (ES) leads to cognitive dysfunction in female adolescents, but the underlying neural mechanisms remain elusive. Recent evidence suggests that the cell adhesion molecules NECTIN1 and NECTIN3 play a role in cognition and ES-related cognitive deficits in male rodents. In this study, we aimed to investigate whether and how nectins contribute to ES-induced cognitive dysfunction in female adolescents. Applying the well-established limited bedding and nesting material paradigm, we found that ES impairs recognition memory, suppresses prefrontal NECTIN1 and hippocampal NECTIN3 expression, and upregulates corticotropin-releasing hormone (Crh) and its receptor 1 (Crhr1) mRNA levels in the hippocampus of adolescent female mice. Genetic experiments revealed that the reduction of dorsal CA1 (dCA1) NECTIN3 mediates ES-induced object recognition memory deficits, as knocking down dCA1 NECTIN3 impaired animals' performance in the novel object recognition task, while overexpression of dCA1 NECTIN3 successfully reversed the ES-induced deficits. Notably, prefrontal NECTIN1 knockdown did not result in significant cognitive impairments. Furthermore, acute systemic administration of antalarmin, a CRHR1 antagonist, upregulated hippocampal NECTIN3 levels and rescued object and spatial memory deficits in stressed mice. Our findings underscore the critical role of dCA1 NECTIN3 in mediating ES-induced object recognition memory deficits in adolescent female mice, highlighting it as a potential therapeutic target for stress-related psychiatric disorders in women.
Animals
;
Female
;
Mice
;
CA1 Region, Hippocampal/metabolism*
;
Cell Adhesion Molecules/metabolism*
;
CRF Receptor, Type 1/metabolism*
;
Memory Disorders/etiology*
;
Mice, Inbred C57BL
;
Nectins/genetics*
;
Receptors, Corticotropin-Releasing Hormone/antagonists & inhibitors*
;
Recognition, Psychology/physiology*
;
Stress, Psychological/complications*
6.Construction of Saccharomyces cerevisiae cell factory for efficient biosynthesis of ferruginol.
Mei-Ling JIANG ; Zhen-Jiang TIAN ; Hao TANG ; Xin-Qi SONG ; Jian WANG ; Ying MA ; Ping SU ; Guo-Wei JIA ; Ya-Ting HU ; Lu-Qi HUANG
China Journal of Chinese Materia Medica 2025;50(4):1031-1042
Diterpenoid ferruginol is a key intermediate in biosynthesis of active ingredients such as tanshinone and carnosic acid.However, the traditional process of obtaining ferruginol from plants is often cumbersome and inefficient. In recent years, the increasingly developing gene editing technology has been gradually applied to the heterologous production of natural products, but the production of ferruginol in microbe is still very low, which has become an obstacle to the efficient biosynthesis of downstream chemicals, such as tanshinone. In this study, miltiradiene was produced by integrating the shortened diterpene synthase fusion protein,and the key genes in the MVA pathway were overexpressed to improve the yield of miltiradiene. Under the shake flask fermentation condition, the yield of miltiradiene reached about(113. 12±17. 4)mg·L~(-1). Subsequently, this study integrated the ferruginol synthase Sm CYP76AH1 and Sm CPR1 to reconstruct the ferruginol pathway and thereby realized the heterologous synthesis of ferruginol in Saccharomyces cerevisiae. The study selected the best ferruginol synthase(Il CYP76AH46) from different plants and optimized the expression of pathway genes through redox partner engineering to increase the yield of ferruginol. By increasing the copy number of diterpene synthase, CYP450, and CPR, the yield of ferruginol reached(370. 39± 21. 65) mg·L~(-1) in the shake flask, which was increased by 21. 57-fold compared with that when the initial ferruginol strain JMLT05 was used. Finally, 1 083. 51 mg·L~(-1) ferruginol was obtained by fed-batch fermentation, which is the highest yield of ferruginol from biosynthesis so far. This study provides not only research ideas for other metabolic engineering but also a platform for the construction of cell factories for downstream products.
Saccharomyces cerevisiae/genetics*
;
Diterpenes/metabolism*
;
Metabolic Engineering
;
Fermentation
;
Abietanes
7.Application of Assessment Scales in Palliative Care for Glioma: A Systematic Review.
Zhi-Yuan XIAO ; Tian-Rui YANG ; Ya-Ning CAO ; Wen-Lin CHEN ; Jun-Lin LI ; Ting-Yu LIANG ; Ya-Ning WANG ; Yue-Kun WANG ; Xiao-Peng GUO ; Yi ZHANG ; Yu WANG ; Xiao-Hong NING ; Wen-Bin MA
Chinese Medical Sciences Journal 2025;40(3):211-218
BACKGROUND AND OBJECTIVE: Patients with glioma experience a high symptom burden and have diverse palliative care needs. However, the assessment scales used in palliative care remain non-standardized and highly heterogeneous. To evaluate the application patterns of the current scales used in palliative care for glioma, we aim to identify gaps and assess the need for disease-specific scales in glioma palliative care. METHODS: We conducted a systematic search of five databases including PubMed, Web of Science, Medline, EMBASE, and CINAHL for quantitative studies that reported scale-based assessments in glioma palliative care. We extracted data on scale characteristics, domains, frequency, and psychometric properties. Quality assessments were performed using the Cochrane ROB 2.0 and ROBINS-I tools. RESULTS: Of the 3,405 records initially identified, 72 studies were included. These studies contained 75 distinct scales that were used 193 times. Mood (21.7%), quality of life (24.4%), and supportive care needs (5.2%) assessments were the most frequently assessed items, exceeding half of all scale applications. Among the various assessment dimensions, the Distress Thermometer (DT) was the most frequently used tool for assessing mood, while the Short Form-36 Health Survey Questionnaire (SF-36) was the most frequently used tool for assessing quality of life. The Mini Mental Status Examination (MMSE) was the most common tool for cognitive assessment. Performance status (5.2%) and social support (6.8%) were underrepresented. Only three brain tumor-specific scales were identified. Caregiver-focused scales were limited and predominantly burden-oriented. CONCLUSIONS: There are significant heterogeneity, domain imbalances, and validation gaps in the current use of assessment scales for patients with glioma receiving palliative care. The scale selected for use should be comprehensive and user-friendly.
Humans
;
Glioma/psychology*
;
Palliative Care/methods*
;
Quality of Life
;
Psychometrics
;
Brain Neoplasms/psychology*
8.Mechanisms of Gut Microbiota Influencing Reproductive Function via The Gut-Gonadal Axis
Ya-Qi ZHAO ; Li-Li QI ; Jin-Bo WANG ; Xu-Qi HU ; Meng-Ting WANG ; Hai-Guang MAO ; Qiu-Zhen SUN
Progress in Biochemistry and Biophysics 2025;52(5):1152-1164
Reproductive system diseases are among the primary contributors to the decline in social fertility rates and the intensification of aging, posing significant threats to both physical and mental health, as well as quality of life. Recent research has revealed the substantial potential of the gut microbiota in improving reproductive system diseases. Under healthy conditions, the gut microbiota maintains a dynamic balance, whereas dysfunction can trigger immune-inflammatory responses, metabolic disorders, and other issues, subsequently leading to reproductive system diseases through the gut-gonadal axis. Reproductive diseases, in turn, can exacerbate gut microbiota imbalance. This article reviews the impact of the gut microbiota and its metabolites on both male and female reproductive systems, analyzing changes in typical gut microorganisms and their metabolites related to reproductive function. The composition, diversity, and metabolites of gut bacteria, such as Bacteroides, Prevotella, and Firmicutes, including short-chain fatty acids, 5-hydroxytryptamine, γ-aminobutyric acid, and bile acids, are closely linked to reproductive function. As reproductive diseases develop, intestinal immune function typically undergoes changes, and the expression levels of immune-related factors, such as Toll-like receptors and inflammatory cytokines (including IL-6, TNF-α, and TGF-β), also vary. The gut microbiota and its metabolites influence reproductive hormones such as estrogen, luteinizing hormone, and testosterone, thereby affecting folliculogenesis and spermatogenesis. Additionally, the metabolism and absorption of vitamins can also impact spermatogenesis through the gut-testis axis. As the relationship between the gut microbiota and reproductive diseases becomes clearer, targeted regulation of the gut microbiota can be employed to address reproductive system issues in both humans and animals. This article discusses the regulation of the gut microbiota and intestinal immune function through microecological preparations, fecal microbiota transplantation, and drug therapy to treat reproductive diseases. Microbial preparations and drug therapy can help maintain the intestinal barrier and reduce chronic inflammation. Fecal microbiota transplantation involves transferring feces from healthy individuals into the recipient’s intestine, enhancing mucosal integrity and increasing microbial diversity. This article also delves into the underlying mechanisms by which the gut microbiota influences reproductive capacity through the gut-gonadal axis and explores the latest research in diagnosing and treating reproductive diseases using gut microbiota. The goal is to restore reproductive capacity by targeting the regulation of the gut microbiota. While the gut microbiota holds promise as a therapeutic target for reproductive diseases, several challenges remain. First, research on the association between gut microbiota and reproductive diseases is insufficient to establish a clear causal relationship, which is essential for proposing effective therapeutic methods targeting the gut microbiota. Second, although gut microbiota metabolites can influence lipid, glucose, and hormone synthesis and metabolism via various signaling pathways—thereby indirectly affecting ovarian and testicular function—more in-depth research is required to understand the direct effects of these metabolites on germ cells or granulosa cells. Lastly, the specific efficacy of gut microbiota in treating reproductive diseases is influenced by multiple factors, necessitating further mechanistic research and clinical studies to validate and optimize treatment regimens.
9.Development of a machine learning-based risk prediction model for mild cognitive impairment with spleen-kidney deficiency syndrome in the elderly.
Ya-Ting AI ; Shi ZHOU ; Ming WANG ; Tao-Yun ZHENG ; Hui HU ; Yun-Cui WANG ; Yu-Can LI ; Xiao-Tong WANG ; Peng-Jun ZHOU
Journal of Integrative Medicine 2025;23(4):390-397
OBJECTIVE:
As an age-related neurodegenerative disease, the prevalence of mild cognitive impairment (MCI) increases with age. Within the framework of traditional Chinese medicine, spleen-kidney deficiency syndrome (SKDS) is recognized as the most frequent MCI subtype. Due to the covert and gradual onset of MCI, in community settings it poses a significant challenge for patients and their families to discern between typical aging and pathological changes. There exists an urgent need to devise a preliminary diagnostic tool designed for community-residing older adults with MCI attributed to SKDS (MCI-SKDS).
METHODS:
This investigation enrolled 312 elderly individuals diagnosed with MCI, who were randomly distributed into training and test datasets at a 3:1 ratio. Five machine learning methods, including logistic regression (LR), decision tree (DT), naive Bayes (NB), support vector machine (SVM), and gradient boosting (GB), were used to build a diagnostic prediction model for MCI-SKDS. Accuracy, sensitivity, specificity, precision, F1 score, and area under the curve were used to evaluate model performance. Furthermore, the clinical applicability of the model was evaluated through decision curve analysis (DCA).
RESULTS:
The accuracy, precision, specificity and F1 score of the DT model performed best in the training set (test set), with scores of 0.904 (0.845), 0.875 (0.795), 0.973 (0.875) and 0.973 (0.875). The sensitivity of the training set (test set) of the SVM model performed best among the five models with a score of 0.865 (0.821). The area under the curve of all five models was greater than 0.9 for the training dataset and greater than 0.8 for the test dataset. The DCA of all models showed good clinical application value. The study identified ten indicators that were significant predictors of MCI-SKDS.
CONCLUSION
The risk prediction index derived from machine learning for the MCI-SKDS prediction model is simple and practical; the model demonstrates good predictive value and clinical applicability, and the DT model had the best performance. Please cite this article as: Ai YT, Zhou S, Wang M, Zheng TY, Hu H, Wang YC, Li YC, Wang XT, Zhou PJ. Development of a machine learning-based risk prediction model for mild cognitive impairment with spleen-kidney deficiency syndrome in the elderly. J Integr Med. 2025; 23(4): 390-397.
Humans
;
Cognitive Dysfunction/diagnosis*
;
Aged
;
Male
;
Female
;
Machine Learning
;
Spleen
;
Aged, 80 and over
;
Kidney
;
Medicine, Chinese Traditional
10.Synaptic Vesicle Glycoprotein 2A Slows down Amyloidogenic Processing of Amyloid Precursor Protein via Regulating Its Intracellular Trafficking.
Qian ZHANG ; Xiao Ling WANG ; Yu Li HOU ; Jing Jing ZHANG ; Cong Cong LIU ; Xiao Min ZHANG ; Ya Qi WANG ; Yu Jian FAN ; Jun Ting LIU ; Jing LIU ; Qiao SONG ; Pei Chang WANG
Biomedical and Environmental Sciences 2025;38(5):607-624
OBJECTIVE:
To reveal the effects and potential mechanisms by which synaptic vesicle glycoprotein 2A (SV2A) influences the distribution of amyloid precursor protein (APP) in the trans-Golgi network (TGN), endolysosomal system, and cell membranes and to reveal the effects of SV2A on APP amyloid degradation.
METHODS:
Colocalization analysis of APP with specific tagged proteins in the TGN, ensolysosomal system, and cell membrane was performed to explore the effects of SV2A on the intracellular transport of APP. APP, β-site amyloid precursor protein cleaving enzyme 1 (BACE1) expressions, and APP cleavage products levels were investigated to observe the effects of SV2A on APP amyloidogenic processing.
RESULTS:
APP localization was reduced in the TGN, early endosomes, late endosomes, and lysosomes, whereas it was increased in the recycling endosomes and cell membrane of SV2A-overexpressed neurons. Moreover, Arl5b (ADP-ribosylation factor 5b), a protein responsible for transporting APP from the TGN to early endosomes, was upregulated by SV2A. SV2A overexpression also decreased APP transport from the cell membrane to early endosomes by downregulating APP endocytosis. In addition, products of APP amyloid degradation, including sAPPβ, Aβ 1-42, and Aβ 1-40, were decreased in SV2A-overexpressed cells.
CONCLUSION
These results demonstrated that SV2A promotes APP transport from the TGN to early endosomes by upregulating Arl5b and promoting APP transport from early endosomes to recycling endosomes-cell membrane pathway, which slows APP amyloid degradation.
Amyloid beta-Protein Precursor/genetics*
;
Membrane Glycoproteins/genetics*
;
Animals
;
Protein Transport
;
Nerve Tissue Proteins/genetics*
;
Humans
;
Mice
;
Endosomes/metabolism*
;
trans-Golgi Network/metabolism*


Result Analysis
Print
Save
E-mail