1.Metabolic engineering of Escherichia coli for the biosynthesis of O-acetyl-L-homoserine.
Lianggang HUANG ; Feng GAO ; Nuoran XU ; Junping ZHOU ; Kun NIU ; Bo ZHANG ; Zhiqiang LIU ; Yuguo ZHENG
Chinese Journal of Biotechnology 2025;41(1):256-270
O-acetyl-L-homoserine (OAH) is a promising platform compound for the production of L-methionine and other valuable compounds, while its low yield and low conversion rate limit the industrial application. To solve these problems, we constructed a strain for high OAH production with the previously constructed L-homoserine producer Escherichia coli HS33 as the chassis by systematic metabolic engineering. Firstly, PEP accumulation, pyruvate utilization, and OAH synthesis pathway (overexpressing aspB, aspA, and thrAC1034T) were enhanced to obtain an initial strain accumulating 13.37 g/L OAH. Subsequently, the co-factor synthesis genes were integrated to supply reducing power and energy, which increased the yield to 15.79 g/L. The OAH yield of the engineered strain OAH28 was further increased to 17.49 g/L by strengthening the acetic acid reuse pathway, improving the supply of acetyl-CoA, and regulating the expression of MetX from different sources. Finally, in a 5 L fermenter, OAH28 achieved an OAH titer of 47.12 g/L, with a glucose conversion rate of 32% and productivity of 0.59 g/(L·h). The results lay a foundation for increasing the OAH production by metabolic engineering and give insights into the industrial production of OAH.
Metabolic Engineering/methods*
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Escherichia coli/genetics*
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Homoserine/biosynthesis*
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Fermentation
2.Identification of a JAK-STAT-miR155HG positive feedback loop in regulating natural killer (NK) cells proliferation and effector functions.
Songyang LI ; Yongjie LIU ; Xiaofeng YIN ; Yao YANG ; Xinjia LIU ; Jiaxing QIU ; Qinglan YANG ; Yana LI ; Zhiguo TAN ; Hongyan PENG ; Peiwen XIONG ; Shuting WU ; Lanlan HUANG ; Xiangyu WANG ; Sulai LIU ; Yuxing GONG ; Yuan GAO ; Lingling ZHANG ; Junping WANG ; Yafei DENG ; Zhaoyang ZHONG ; Youcai DENG
Acta Pharmaceutica Sinica B 2025;15(4):1922-1937
The Janus kinase/signal transducers and activators of transcription (JAK-STAT) control natural killer (NK) cells development and cytotoxic functions, however, whether long non-coding RNAs (lncRNAs) are involved in this pathway remains unknown. We found that miR155HG was elevated in activated NK cells and promoted their proliferation and effector functions in both NK92 and induced-pluripotent stem cells (iPSCs)-derived NK (iPSC-NK) cells, without reliance on its derived miR-155 and micropeptide P155. Mechanistically, miR155HG bound to miR-6756 and relieved its repression of JAK3 expression, thereby promoting the JAK-STAT pathway and enhancing NK cell proliferation and function. Further investigations disclosed that upon cytokine stimulation, STAT3 directly interacts with miR155HG promoter and induces miR155HG transcription. Collectively, we identify a miR155HG-mediated positive feedback loop of the JAK-STAT signaling. Our study will also provide a power target regarding miR155HG for improving NK cell generation and effector function in the field of NK cell adoptive transfer therapy against cancer, especially iPSC-derived NK cells.
3.Interdisciplinary research progress on long-term care systems for elderly cancer survivors
Siyu QIN ; Jingjing YUAN ; Feiyu QI ; Qi ZHAO ; Mei HE ; Xiaoxia LIU ; Kaixia GAO ; Junping GAO
Chinese Journal of Modern Nursing 2025;31(28):3909-3915
As the global population ages and cancer diagnostic and treatment technologies improve, the number of elderly cancer survivors continues to increase, and their complex care needs challenge the traditional mono-disciplinary care model. This paper explores the dilemmas of implementing a long-term care system and suggestions for future research through a comprehensive overview of the care needs of elderly cancer survivors and the progress of interdisciplinary research, with the aim of providing a theoretical basis and practical reference for improving the long-term care system and enhancing patients' quality of life.
4.Optimization and Evaluation of the Prescription Review Rule Base for Traditional Chinese Medicine in A Grade-A Tertiary Hospital
Di WU ; Shaohua DONG ; Yue GAO ; Dongjie DENG ; Junping GUO
Herald of Medicine 2025;44(10):1696-1700
Objective To explore the optimization and effect analysis method of rational drug use pre-prescription review rule base for traditional Chinese medicine(TCM).Methods The rules for the modules including indications,dosage range,incompatibility,administration route and repeated drug use of TCM decoction pieces and Chinese patent medicine were set to improve pre-prescription review rule base.The prescription rationality rate and intervention effectiveness rate to evaluate effect by χ2 test before and after the system optimization.Results After the optimization of pre-prescription review rule base for TCM,the rate of prescription rationality of the hospital increased from approximately 78.19%to 94.50%,and the rate of intervention effectiveness increased from approximately 82.80%to 97.15%.There were statistically significant differences in prescription rationality and intervention effectiveness rate between pre-and post-optimization groups(P<0.05).Conclusion According to the current pre-prescription status of the hospital,optimizing pre-prescription review rules of TCM can improve the applicability of the review system for TCM prescriptions,and enhance the pre-prescription accuracy and the level of rational medication.However,rules optimization on other modules still needs to be further improved.
5.National clinical three-tiered surveillance and stratified precision detection report on respiratory infectious pathogens in 2024
Jingwen AI ; Jikui DENG ; Min DONG ; Xiaohong GAO ; Jiawei GENG ; Xiaoli HU ; Zhu JIN ; Hongyan LIU ; Yongzhong LI ; Xi LIU ; Yuanwang QIU ; Lihong QU ; Binhuang SUN ; Wei SONG ; Hongyu WANG ; Junping WANG ; Sen WANG ; Xiaoming XIONG ; Daokun YANG ; Liaoyun ZHANG ; Yanliang ZHANG ; Xianghong ZHOU ; Wenhong ZHANG
Chinese Journal of Infectious Diseases 2025;43(2):79-89
Objective:To analyze the epidemiological and clinical characteristics of respiratory pathogens in China.Methods:This study was a cross-sectional study, which encompassed 19 core units of the clinical pathogen network and established a three-tiered clinical pathogen surveillance system. Thirty respiratory samples were collected every two weeks from various units from January to December 2024, and the clinical and pathogen diagnostic information were gathered. A total of 11 864 samples were tested using this system. The tier-1 clinical pathogen surveillance system covered influenza A virus (Flu-A), influenza B virus (Flu-B), respiratory syncytial virus (RSV), and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The tier-2 clinical pathogen surveillance system focused on 18 key respiratory pathogens. The tier-3 clinical pathogen surveillance system further clarified whether any emerging infectious diseases had occurred.Results:The tier-1 clinical pathogen surveillance system showed Flu-A predominated in December, Flu-B predominated in January, SARS-CoV-2 peaked in March and August, whereas RSV circulated sporadically throughout the year. Geographic trends were broadly consistent across the seven major regions, although Flu-A detection in December was notably higher in Northeast China (48.1%(111/231)) and East China (36.2%(148/409)), and RSV detection was concentrated in the Northwest and South China from January to March. Data from the tier-2 clinical pathogen surveillance system indicated that Streptococcus pneumoniae, Mycoplasma pneumoniae, rhinovirus, and adenovirus were detected year-round, of these, Streptococcus pneumoniae and rhinovirus showed elevated positive detection rates from August to September, while adenovirus peaked in January. Legionella pneumophila was not detected throughout the year, and other pathogens fluctuated throughout the year without a consistent pattern. The predominant etiologic agents of pediatric pneumonia were Mycoplasma pneumoniae (35.0%(105/300)), rhinovirus (25.7%(77/300)), and adenovirus (17.3%(52/300)), whereas adult pneumonia was mainly caused by Streptococcus pneumoniae (10.5%(29/277)), Staphylococcus aureus (6.9%(19/277)), Mycoplasma pneumoniae (6.9%(19/277)), and Flu-A (6.1%(17/277)). The tier-3 clinical pathogen surveillance system did not identify any emerging respiratory pathogens. Conclusion:Respiratory pathogens in China in 2024 exhibit distinct temporal and spatial distribution patterns and vary among different populations.
6.Expression and Clinical Significance of PLCβ4 Gene in Hepatocellular Carcinoma Analyzed Based on TCGA Database and Experimental Validation
Limei WEN ; Yali GUO ; Qiang HOU ; Dongxuan ZHENG ; Wu DAI ; Xiang GAO ; Jianhua YANG ; Junping HU
Cancer Research on Prevention and Treatment 2025;52(6):502-510
Objective To analyze the PLCβ4 gene mRNA expression and its clinical significance in hepatocellular carcinoma (HCC) based on TCGA database. Methods Based on the data on 424 clinical samples (including 374 cases of HCC tissues and 50 cases of nontumor liver tissues) in the TCGA database, Kaplan–Meier method, Cox regression analysis, and immune infiltration analysis were performed to evaluate the relationship between PLCβ4 gene and the clinical characteristics and survival prognosis of HCC patients. Correlation analysis between PLCβ4 gene and 24 types of immune cells was applied to investigate the relationship between PLCβ4 gene and immune cell infiltration and mRNA expression level of TP53 gene, a high-frequency mutation gene in HCC. In addition, paraffin sections of highly, moderately, and poorly differentiated tumor tissues and normal liver tissues from HCC patients were collected. The histopathological observation was carried out via HE staining method, and the expression levels of PLCβ4 and Ki-67 proteins in each clinical sample were verified through the immunohistochemical method. Results The expression level of PLCβ4 gene in HCC was significantly higher than that in normal tissues (P<0.01), and all patients in the PLCβ4 high-expression group had a significantly longer overall survival than those in the low-expression group (P<0.05), which suggested that PLCβ4 substantially affected the prognosis of HCC patients. Correlation analysis showed that the expression level of PLCβ4 gene was highly correlated with immune cell infiltration and the expression level of TP53 gene. As verified by clinical sample experiments, HE staining experiments and immunohistochemical results revealed that PLCβ4 gene expression in HCC tissue samples was significantly higher than that in normal tissues (P<0.001), and it was negatively correlated with the degree of differentiation. Conclusion PLCβ4 may serve as an independent prognostic factor in HCC and is expected to be a novel molecular target for HCC treatment.
7.Interdisciplinary research progress on long-term care systems for elderly cancer survivors
Siyu QIN ; Jingjing YUAN ; Feiyu QI ; Qi ZHAO ; Mei HE ; Xiaoxia LIU ; Kaixia GAO ; Junping GAO
Chinese Journal of Modern Nursing 2025;31(28):3909-3915
As the global population ages and cancer diagnostic and treatment technologies improve, the number of elderly cancer survivors continues to increase, and their complex care needs challenge the traditional mono-disciplinary care model. This paper explores the dilemmas of implementing a long-term care system and suggestions for future research through a comprehensive overview of the care needs of elderly cancer survivors and the progress of interdisciplinary research, with the aim of providing a theoretical basis and practical reference for improving the long-term care system and enhancing patients' quality of life.
8.Optimization and Evaluation of the Prescription Review Rule Base for Traditional Chinese Medicine in A Grade-A Tertiary Hospital
Di WU ; Shaohua DONG ; Yue GAO ; Dongjie DENG ; Junping GUO
Herald of Medicine 2025;44(10):1696-1700
Objective To explore the optimization and effect analysis method of rational drug use pre-prescription review rule base for traditional Chinese medicine(TCM).Methods The rules for the modules including indications,dosage range,incompatibility,administration route and repeated drug use of TCM decoction pieces and Chinese patent medicine were set to improve pre-prescription review rule base.The prescription rationality rate and intervention effectiveness rate to evaluate effect by χ2 test before and after the system optimization.Results After the optimization of pre-prescription review rule base for TCM,the rate of prescription rationality of the hospital increased from approximately 78.19%to 94.50%,and the rate of intervention effectiveness increased from approximately 82.80%to 97.15%.There were statistically significant differences in prescription rationality and intervention effectiveness rate between pre-and post-optimization groups(P<0.05).Conclusion According to the current pre-prescription status of the hospital,optimizing pre-prescription review rules of TCM can improve the applicability of the review system for TCM prescriptions,and enhance the pre-prescription accuracy and the level of rational medication.However,rules optimization on other modules still needs to be further improved.
9.National clinical three-tiered surveillance and stratified precision detection report on respiratory infectious pathogens in 2024
Jingwen AI ; Jikui DENG ; Min DONG ; Xiaohong GAO ; Jiawei GENG ; Xiaoli HU ; Zhu JIN ; Hongyan LIU ; Yongzhong LI ; Xi LIU ; Yuanwang QIU ; Lihong QU ; Binhuang SUN ; Wei SONG ; Hongyu WANG ; Junping WANG ; Sen WANG ; Xiaoming XIONG ; Daokun YANG ; Liaoyun ZHANG ; Yanliang ZHANG ; Xianghong ZHOU ; Wenhong ZHANG
Chinese Journal of Infectious Diseases 2025;43(2):79-89
Objective:To analyze the epidemiological and clinical characteristics of respiratory pathogens in China.Methods:This study was a cross-sectional study, which encompassed 19 core units of the clinical pathogen network and established a three-tiered clinical pathogen surveillance system. Thirty respiratory samples were collected every two weeks from various units from January to December 2024, and the clinical and pathogen diagnostic information were gathered. A total of 11 864 samples were tested using this system. The tier-1 clinical pathogen surveillance system covered influenza A virus (Flu-A), influenza B virus (Flu-B), respiratory syncytial virus (RSV), and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The tier-2 clinical pathogen surveillance system focused on 18 key respiratory pathogens. The tier-3 clinical pathogen surveillance system further clarified whether any emerging infectious diseases had occurred.Results:The tier-1 clinical pathogen surveillance system showed Flu-A predominated in December, Flu-B predominated in January, SARS-CoV-2 peaked in March and August, whereas RSV circulated sporadically throughout the year. Geographic trends were broadly consistent across the seven major regions, although Flu-A detection in December was notably higher in Northeast China (48.1%(111/231)) and East China (36.2%(148/409)), and RSV detection was concentrated in the Northwest and South China from January to March. Data from the tier-2 clinical pathogen surveillance system indicated that Streptococcus pneumoniae, Mycoplasma pneumoniae, rhinovirus, and adenovirus were detected year-round, of these, Streptococcus pneumoniae and rhinovirus showed elevated positive detection rates from August to September, while adenovirus peaked in January. Legionella pneumophila was not detected throughout the year, and other pathogens fluctuated throughout the year without a consistent pattern. The predominant etiologic agents of pediatric pneumonia were Mycoplasma pneumoniae (35.0%(105/300)), rhinovirus (25.7%(77/300)), and adenovirus (17.3%(52/300)), whereas adult pneumonia was mainly caused by Streptococcus pneumoniae (10.5%(29/277)), Staphylococcus aureus (6.9%(19/277)), Mycoplasma pneumoniae (6.9%(19/277)), and Flu-A (6.1%(17/277)). The tier-3 clinical pathogen surveillance system did not identify any emerging respiratory pathogens. Conclusion:Respiratory pathogens in China in 2024 exhibit distinct temporal and spatial distribution patterns and vary among different populations.
10.Psychometric properties of the Chinese version of the Self-Confidence Scale for Clean Intermittent Self-Catheterization
Sufang QIN ; Lina ZHAO ; Lifan ZHANG ; Kaixia GAO ; Bin ZHANG ; Zhuolun TIAN ; Junping GAO
Chinese Journal of Modern Nursing 2024;30(25):3395-3401
Objective:To translate the Self-Confidence Scale for Clean Intermittent Self-Catheterization (SCSCISC) into Chinese and test its reliability and validity.Methods:Following the Brislin questionnaire translation principles, the English version of SCCSISC was translated, back translated, culturally adapted, consulted with experts, and pre-surveyed to form the Chinese version of SCCSISC. From June to September 2023, 237 patients with neurogenic bladder admitted to the First Hospital of Shanxi Medical University were selected as survey subjects by the convenient sampling method. The critical ratio method was used for project analysis, and Cronbach's α coefficient, split half reliability, and test-retest reliability were used to evaluate the reliability of the scale. Content validity and construct validity were used to test the validity of the scale.Results:The Cronbach's α coefficient of the Chinese version of SCCSISC was 0.976, the split half coefficient was 0.962, and the test-retest reliability was 0.876. The item-level content validity index ( I- CVI) of the Chinese version of SCCSISC was 0.86 to 1.00, and the scale-level content validity index ( S- CVI) was 0.93, with Kappa consistency coefficients above 0.74. Two common factors were extracted through exploratory factor analysis, with a cumulative variance contribution rate of 73.42%. Conclusions:The Chinese version of SCCSISC has good reliability and validity, and can be used as a tool for self-confidence measurement of clean intermittent self-catheterization among patients with neurogenic bladder in China.

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