1.Application of biomanufacturing in polymer flooding.
Junping ZHOU ; Qilu PAN ; Lianggang HUANG ; Kan ZHAN ; Heng TANG ; Liqun JIN ; Yuguo ZHENG
Chinese Journal of Biotechnology 2025;41(1):148-172
In China, the crude oil supply is highly dependent on overseas countries, and thus strengthening crude oil self-sufficiency has become an important issue of the national energy security. Tertiary oil recovery, especially polymer flooding, has been widely applied in large oil fields in China, which can increase the recovery rate by 15%-20% compared with water flooding. However, the widely used oil flooding polymers show poor thermal stability and salinity tolerance, complicated synthesis ways of monomers, and environmental unfriendliness. Moreover, the polymer flooding induces problems including pore plugging, heterogeneity intensification, high dispersion of remaining oil resources, pressure rise in injection wells, and low efficiency circulation of injection medium, which restrict the subsequent recovery of old oil fields. Here, we systematically review the developing and current situations of polymer flooding, introduce the innovative biomanufacturing of oil flooding polymers and their monomers or precursors as well as low-cost bio-based chemical raw materials for multiple compound flooding. The comprehensive study of the relationships between microbial fermentation metabolites and polymer flooding will reveal the green and low-carbon paths for polymer flooding. Such study will enable the application of enzymes produced by microorganisms in polymer production and polymer plugging removal after polymer flooding as well as the application of microbial metabolites such as biosurfactants, organic acids, alcohols, biogas, and amino acids in enhancing oil recovery. This review suggests that incorporating biomanufacturing into polymer flooding will ensure the high productivity and stability for crude oil production in China.
Polymers/metabolism*
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China
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Petroleum
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Oil and Gas Fields
2.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
3.Prediction of duloxetine blood concentration in patients with depression based on machine learning
Ming QIAO ; Lu JIN ; Yi ZHU ; Junping HU
China Pharmacy 2025;36(6):752-757
OBJECTIVE To provide medication reference for duloxetine use in clinical settings, particularly for patients with depression in primary medical institutions in Xinjiang that lack therapeutic drug monitoring conditions. METHODS The medical records of 281 depression inpatients taking duloxetine in the First Affiliated Hospital of Xinjiang Medical University from January 2022 to December 2023 were retrospectively collected. They were divided into training set (196 cases) and test set (85 cases) in the ratio of 7∶3. Feature selection was performed by encapsulating random forests (RF) with recursive feature elimination. Four machine learning algorithms, namely support vector machine, RF, extreme gradient boosting (XGBoost) and artificial neural network, were used to construct duloxetine blood concentration prediction model. The prediction performance of the models was evaluated and compared by coefficient of determination (R2), mean absolute error (MAE) and root mean squared error (RMSE). The feature of the selected optimal model was explained by Shapley additive explanation method, and the importance ranking of the features and the influence on the prediction results of duloxetine blood concentration were determined. RESULTS A total of 29 characteristic variables were selected, including age, ethnicity, body mass index(BMI), etc. XGBoost showed the highest R2 (0.808), and the lowest MAE (7.644) and RMSE (10.808). The ranking of feature importance for predicting the blood concentration of duloxetine was as follows: BMI>age>other 20 feature sets (including liver and kidney function and biochemical indicators)>daily dosage>comorbidities>combination therapy>ethnicity>white blood cell count>hemoglobin>height. CONCLUSIONS XGBoost model possesses the best prediction performance of duloxetine blood concentration; BMI and age have a greater impact on the prediction of duloxetine blood concentration.
4.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.
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.Effects of different radiation doses on the accuracy of quantitative iodine concentration and CT value of virtual monochromatic image in second-generation dual-layer detector spectral CT
Qiaoling WU ; Junping TIAN ; Daming ZHANG ; Zhengyu JIN ; Xiaomei LU ; Shenghui YU ; Yun WANG
Basic & Clinical Medicine 2023;43(12):1866-1870
Objective To investigate the effect of different radiation doses on the accuracy of iodine quantification and CT value of virtual monochromatic image with a muti-spectral CT iodine phantom using second-generation dual-layer detector spectral CT(DLCT).Methods The second-generation DLCT scan abdominal phantom was used,which consisted of six different concentrations of iodine rods at 4,8 and 12 g/L.The scan parameters were set at 100,120 and 140 kVp tube voltages,and six radiation exposure sequences were scanned at each tube voltage:5,10,15,20,25 and 30 mGy.Measure the iodine concentration value and the CT value at the single level of 50,70 and 100 keV,and calculate the absolute error value of iodine concentration and CT value under different radiation exposure.SPSS 22.0 software single factor analysis of variance was used to compare the difference between the io-dine concentration and the absolute error of CT value under different Radiation exposure,and LSD method was used to compare the two groups.Results The absolute error of CT value of 4 g/L iodine rod with 10~30 mGy scanning at 100 keV energy level was significantly higher than that of 12 g/L and 8 g/L(P<0.05),and the absolute error of iodine concentration measurement of other iodine rods with different concentrations at different Radiation exposure had no statistical difference.Conclusions The second-generation double-layer detector spectral CT has high meas-urement stability for iodine concentration quantification and CT value accuracy under conditions of radiation dose greater than 5 mGy.
7.A study on the occurrence and influencing factors of perimenopausal syndrome among Han, Hui and Tibetan women in Gansu Province
Rui ZHANG ; Lirong WANG ; Yue YUAN ; Lin LIU ; Liyan WANG ; Panpan JIN ; Xiaoling MA ; Jinzhu ZHAO ; Xuehong ZHANG ; Junping HU
Chinese Journal of Reproduction and Contraception 2022;42(1):72-79
Objective:To explore the occurrence and influencing factors of perimenopausal syndrome among Han, Hui and Tibetan women in Gansu Province.Methods:A stratified cluster sampling method was used to select 7290 women aged 40-55 years as the research subjects for cross-sectional survey. The questionnaire was used to investigate demographic characteristics, marriage and childbearing menstrual history, and the modified Kupperman score was used to investigate the symptoms related to perimenopausal syndrome. The data were statistically analyzed using SPSS20.0 software.Results:The natural menopausal age of women in Gansu Province was (47.43±3.99) years old, Hui women had the earliest age of menopause (47.08±4.29). There were statistically significant differences in occupation, education level and residence among the three ethnic groups ( P<0.001, P=0.001, P=0.005). The incidence of perimenopausal syndrome was 58.85% (246/418) for Hui, 44.16% (136/308) for Tibetans, and 41.06% (2695/6564) for Hans. The incidence of perimenopausal syndrome and the grade of related symptoms were significantly different among the three ethnic groups (all P<0.001). Han women had the highest proportion of mild symptoms, while Hui women and Tibetan women had the highest proportion of moderate symptoms. The differences of the incidence of mild and severe symptoms among the three ethnic groups were statistically significant (all P<0.001). Logistic regression analysis showed that engaging in heavy physical labor is a common risk factor for the incidence of perimenopausal syndrome in the three ethnic groups. Conclusion:The prevention and treatment of perimenopausal syndrome can be carried out from the following aspects: promoting economic development, improving living conditions, changing life and work patterns, increasing investment in education, medical and health care, and strengthening knowledge popularization.
8.A study on the occurrence and influencing factors of perimenopausal syndrome among Han, Hui and Tibetan women in Gansu Province
Rui ZHANG ; Lirong WANG ; Yue YUAN ; Lin LIU ; Liyan WANG ; Panpan JIN ; Xiaoling MA ; Jinzhu ZHAO ; Xuehong ZHANG ; Junping HU
Chinese Journal of Reproduction and Contraception 2022;42(1):72-79
Objective:To explore the occurrence and influencing factors of perimenopausal syndrome among Han, Hui and Tibetan women in Gansu Province.Methods:A stratified cluster sampling method was used to select 7290 women aged 40-55 years as the research subjects for cross-sectional survey. The questionnaire was used to investigate demographic characteristics, marriage and childbearing menstrual history, and the modified Kupperman score was used to investigate the symptoms related to perimenopausal syndrome. The data were statistically analyzed using SPSS20.0 software.Results:The natural menopausal age of women in Gansu Province was (47.43±3.99) years old, Hui women had the earliest age of menopause (47.08±4.29). There were statistically significant differences in occupation, education level and residence among the three ethnic groups ( P<0.001, P=0.001, P=0.005). The incidence of perimenopausal syndrome was 58.85% (246/418) for Hui, 44.16% (136/308) for Tibetans, and 41.06% (2695/6564) for Hans. The incidence of perimenopausal syndrome and the grade of related symptoms were significantly different among the three ethnic groups (all P<0.001). Han women had the highest proportion of mild symptoms, while Hui women and Tibetan women had the highest proportion of moderate symptoms. The differences of the incidence of mild and severe symptoms among the three ethnic groups were statistically significant (all P<0.001). Logistic regression analysis showed that engaging in heavy physical labor is a common risk factor for the incidence of perimenopausal syndrome in the three ethnic groups. Conclusion:The prevention and treatment of perimenopausal syndrome can be carried out from the following aspects: promoting economic development, improving living conditions, changing life and work patterns, increasing investment in education, medical and health care, and strengthening knowledge popularization.
9.A real-world study on the effectiveness of elbasvir/grazoprevir in the treatment of genotype 1 chronic hepatitis C
Kuan LI ; Huibin NING ; Huiming JIN ; Zhen PENG ; Junping LIU ; Mengyang MA ; Jia SHANG
Chinese Journal of Infectious Diseases 2021;39(1):31-34
Objective:To evaluate the efficacy and safety of elbasvir/grazoprevir (EBR/GZR) in patients with genotype 1 chronic hepatitis C in the real-world.Methods:This was an open-label, single-center, retrospective real-world study. A total of 103 genotype 1 chronic hepatitis C patients who were treated with EBR/GZR in Henan Provincial People′s Hospital from May 2018 to October 2019 were enrolled.And the clinical baseline characteristics of patients and the effectiveness and safety of antiviral therapy were respectively evaluated.Results:A total of 103 patients were enrolled in the study with an age of (47.6±13.9) years. Fifty-five (53.4%) patients were male and 48(46.6%) were female. One point nine percent (2/103) patients were genotype 1a hepatitis C and 98.1%(101/103) were genotype 1b hepatitis C. Seventeen genotype 1b hepatitis C patients were previously treated with interferon, and three patients co-infected with hepatitis B virus (HBV). Among the 103 cases, 35 had underlying diseases and 26 had combined medication. Ninty-eight cases completed 12-week treatment and 89 cases completed 12-week follow-up after treatment.Overall, 89 cases achieved sustained virological response. The overall incidence of adverse reactions was 20.4%(21/103), and the main adverse reactions were fatigue, insomnia and anxiety. No serious adverse event occurred. The three patients with HBV co-infection had no hepatitis B activation after treatment.Conclusion:EBR/GZR is effective and safe in the patients with genotype 1 chronic hepatitis C in China.
10.Ultrasonic examination and management of adult atrial septal aneurysm
Xuejun KONG ; Xingxing WANG ; Ning MA ; Junping JIN ; Qingfen CHAI
Chinese Journal of Health Management 2021;15(5):469-473
Objective:To explore the ultrasonography and classification management strategy for adult atrial septal aneurysm (ASA).Methods:Of 138 patients diagnosed with ASA by the transthoracic echocardiography (TTE), in No.83 Army Hospital and No.988 Hospital of Joint Logistic Support Force from January 2015 to October 2019, 103 underwent the transesophageal echocardiography (TEE), and all were examined by the right heart contrast transthoracic echocardiography (cTTE). According to the semi-quantitative method, the shunt was graded, classified, and managed through follow-up or surgical treatment.Results:In the resting state, among 138 patients, 26 cases were detected by TTE as ASA with patent foramen ovale (PFO), showing left-to-right shunt. Among 112 patients with no shunt detected by TTE, 103 cases underwent TEE, of whom 44 cases had PFO and left-to-right shunt. The detection rate of PFO shunt by TEE was significantly higher than that of TTE (42.72% vs 18.84%, P<0.001). Out of the 138 patients who underwent cTTE, 96 cases had different degrees of right-to-left shunt. According to the semi-quantitative standard, there were 15 cases of grade Ⅰ, 28 cases of grade Ⅱ, and 53 cases of grade Ⅲ. The detection rate of cTTE was significantly higher than that of TTE and TEE (69.56% vs 18.84% and 42.72%, both P<0.001). Among these 96 patients with right-to-left shunt detected by cTTE, 52 cases (54.17%) were clinically diagnosed as cryptogenic stroke, with right-to-left shunt in 6 cases of grade Ⅰ, 12 cases of grade Ⅱ, and 34 cases of grade Ⅲ. The number of new infarcts in patients with grade Ⅱ or Ⅲ shunts who received PFO closure via catheter was significantly lower than that of patients who did not receive closure therapy (0 vs 27.27%, P=0.011). Conclusion:ASA combined with PFO and right-to-left shunts were detected more frequently by ultrasonography combined with cTTE in adults, this helps to formulate a reasonable management strategy.

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