1.Fuel ethanol production from cassava feedstock.
Ribo HUANG ; Dong CHEN ; Qingyan WANG ; Naikun SHEN ; Yutuo WEI ; Liqin DU
Chinese Journal of Biotechnology 2010;26(7):888-891
The regions suitable for growing cassava include five provinces in Southern China, with Guangxi alone accounting for over 65% of the total cassava production in the country. In this article, the state-of-the-art development of fuel ethanol production from cassava in China is illustrated by the construction of the cassava fuel ethanol plant with its annual production capacity of 200 000 metric tons. And in the meantime, problems and challenges encountered in the development of China's cassava fuel ethanol are highlighted and the strategies to address them are proposed.
Biofuels
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China
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Conservation of Energy Resources
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Ethanol
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metabolism
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Manihot
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metabolism
2.Comparative analysis of clinical characteristics and short-term prognosis between type A and type B male patients with alcohol dependence
Haipeng CAI ; Ruonan DU ; Zhiren WANG ; Wei LI ; Rongjiang ZHAO ; Qingyan YANG ; Xin WANG ; Kebing YANG
Chinese Journal of Behavioral Medicine and Brain Science 2023;32(3):238-244
Objective:To explore the differences in clinical characteristics and treatment outcomes between patients with type A and type B alcohol dependence, and to find the independent risk factors of relapse.Methods:Alcohol-dependent male patients attending the Addiction Medicine Center of Beijing Huilongguan Hospital from January 2018 to December 2020 were selected for the study and divided into type A alcohol-dependent group ( n=77) and type B alcohol-dependent group ( n=87). All patients were given acute detoxification treatment and were followed up after treatment on relapse to drinking. Differences in demographic and clinical data were compared between the two groups, and differences in treatment outcomes between the two groups at different time points over 3 months were compared. Patients were divided into relapse group and non-relapse group according to whether they drank again after 3 months. Logistic regression model was established to screen the risk factors of relapse of alcohol-dependent patients by SPSS 25.0 software. Results:There was no significant difference between the two types of patients in years of education, marital status, smoking status and working status(all P>0.05), but the proportion of co-residents( χ2=5.69, P=0.017) and the proportion of positive family history of alcoholism were significant difference between the two type of patients( χ2=13.32, P<0.001). There were statistically significant differences between the two types of patients in the onset time( t=-7.28, P<0.001), the first drinking age( t=-2.36, P=0.020), the proportion of drinking in the morning( χ2=7.83, P=0.005), psychotic symptoms( χ2=4.31, P=0.038), convulsions after withdrawal( χ2=5.30, P=0.021), and alcohol use disorder identification test(AUDIT) score( t=4.30, P<0.001). At the 4th and 8th weekend of the follow-up, there were statistically significant differences in drinking frequency(0(0, 3), 0(0, 0), Z=-4.13, P<0.001; 3(0, 3), 0(0, 3), Z=-4.42, P<0.001) and relapse rate (40(45.98%), 9(11.69%), χ2=22.92, P<0.001; 61(70.11%), 24(31.17%), χ2=24.82, P<0.001) between the two types of alcohol dependence patients after drinking again. After 12-week follow-up, there were statistically significant differences between the two types of alcohol-dependent patients in the interval of first drinking(20(7, 30)d, 88(38, 90)d, Z=-7.83, P<0.001), the cumulative duration of abstinence(4(0, 8)weeks, 12(4, 12)weeks, Z=-5.13, P<0.001), the cumulative rate of abstinence(71(81.60%), 25(32.47%), χ2=40.62, P<0.001), the frequency of drinking after abstinence(3(3, 3), 0(0, 3), Z=-5.54, P<0.001), and the reduction of daily average alcohol consumption( t=3.36, P<0.001). Logistic regression model showed that type B alcohol dependence ( OR=3.121, P=0.03, 95% CI: 1.12-8.72) and AUDIT score ( OR=1.498, P<0.01, 95% CI: 1.29-1.74) were the risk factors for relapse of alcohol-dependent patients. Conclusions:Patients with type A and type B alcohol dependence have obvious differences in clinical characteristics and treatment outcomes, and type B alcohol dependence is independent risk factor for relapse to drinking in alcohol-dependent patients, which validate the rationality and necessity of alcohol dependence subtypes.
3.Research progress on mechanobiology of scar
Luosha GU ; Qingyan DU ; Pu WANG ; Guangshuai LI ; Qiying WANG ; Zong CHEN ; Linbo LIU
Chinese Journal of Plastic Surgery 2020;36(10):1160-1165
Scar is an inevitable consequence of full-thickness skin injury. Hypertrophic scar and keloid are caused by abnormal wound healing. Mechanical factors play an important role in scar formation. An extensive literature review on mechanobiology of scar and wound healing, as well as a summary of the mechanobiological factors of scar formation and treatments, and mechanical model of scar were conducted, with guiding future development in this research field.
4.Advances on strategies for promoting osteogenic differentiation of adipose-derived mesenchymal stem cells
Qingyan DU ; Luosha GU ; Gaofeng ZHAO ; Ke SHI ; Linbo LIU ; Jianwen ZHANG
Chinese Journal of Plastic Surgery 2022;38(1):98-103
Adipose-derived mesenchymal stem cells (ASCs) are pluripotent adult mesenchymal stem cells that are expected to be ideal seed cells for bone tissue engineering(BTE) due to their biosecurity, abundance, and easy access. However, in comparison with bone marrow mesenchymal stem cells, ASCs possess a relatively limited osteogenic capacity and often require further induction. Advances on strategies for promoting osteogenic differentiation of ASCs are reviewed from following aspects: optimization of scaffolds, addition of bioactive factors or drugs, non-coding RNA regulation, and physical stimulation, so as to provide references for the use of ASCs in BTE.
5.Research progress on mechanobiology of scar
Luosha GU ; Qingyan DU ; Pu WANG ; Guangshuai LI ; Qiying WANG ; Zong CHEN ; Linbo LIU
Chinese Journal of Plastic Surgery 2020;36(10):1160-1165
Scar is an inevitable consequence of full-thickness skin injury. Hypertrophic scar and keloid are caused by abnormal wound healing. Mechanical factors play an important role in scar formation. An extensive literature review on mechanobiology of scar and wound healing, as well as a summary of the mechanobiological factors of scar formation and treatments, and mechanical model of scar were conducted, with guiding future development in this research field.
6.Advances on strategies for promoting osteogenic differentiation of adipose-derived mesenchymal stem cells
Qingyan DU ; Luosha GU ; Gaofeng ZHAO ; Ke SHI ; Linbo LIU ; Jianwen ZHANG
Chinese Journal of Plastic Surgery 2022;38(1):98-103
Adipose-derived mesenchymal stem cells (ASCs) are pluripotent adult mesenchymal stem cells that are expected to be ideal seed cells for bone tissue engineering(BTE) due to their biosecurity, abundance, and easy access. However, in comparison with bone marrow mesenchymal stem cells, ASCs possess a relatively limited osteogenic capacity and often require further induction. Advances on strategies for promoting osteogenic differentiation of ASCs are reviewed from following aspects: optimization of scaffolds, addition of bioactive factors or drugs, non-coding RNA regulation, and physical stimulation, so as to provide references for the use of ASCs in BTE.
7. Combination of A2DS2 score, procalcitonin and C-reactive protein predicts stroke-associated pneumonia in patients with acute ischemic stroke
Hebin DU ; Lianbao XU ; Wei SUN ; Dandan CAI ; Qingyan ZHANG ; Xueling ZHANG
International Journal of Cerebrovascular Diseases 2019;27(10):731-735
Objective:
To investigate the value of combination of A2DS2 score, procalcitonin (PCT) and C-reactive protein (CRP) predicting stroke-associated pneumonia (SAP) in patients with acute ischemic stroke.
Methods:
Patients with acute ischemic stroke admitted to the Department of Neurology, Suqian People's Hospital of Nanjing Drum Tower Hospital Group from March 2015 to March 2019 were enrolled retrospectively. Multivariate