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1.
Bioresour Technol ; 399: 130599, 2024 May.
Article in English | MEDLINE | ID: mdl-38493938

ABSTRACT

This study established a Candida rugosa lipase (CRL) system to catalyze triolein and ethyl ferulate interesterification. The products were identified, and the binding mode between the substrates and CRL was predicted through molecular docking. Three methods for preparing CRL-AuNPs were proposed and characterized. It was found that the addition of 40 mL of 15 nm gold nanoparticles increased the CRL activity from 3.05 U/mg to 4.75 U/mg, but the hybridization efficiency was only 32.7 %. By using 4 mL of 0.1 mg/mL chloroauric acid, the hybridization efficiency was improved to 50.7 %, but the enzyme activity was sharply decreased. However, when the molar ratio of Mb to HAuCl4 was 0.2, the hybridization efficiency increased to 71.8 %, and the CRL activity was also enhanced to 5.98 U/mg. Under optimal conditions, the enzyme activity of CRL-AuNPs③ was maintained at 95 % after 6 repetitions and 85.6 % after 30 days at room temperature.


Subject(s)
Caffeic Acids , Lipase , Metal Nanoparticles , Saccharomycetales , Lipase/metabolism , Gold , Enzymes, Immobilized/metabolism , Triolein , Molecular Docking Simulation , Candida/metabolism , Enzyme Stability
2.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-932194

ABSTRACT

Objective:To investigate the situation of patients with human immunodeficiency virus (HIV) infection who re-engaging treatment after dropping-out during anti-retroviral therapy (ART), and the influencing factors of ART re-engagement in Yunnan Province.Methods:The total dropping-out cases of ART up to December 31, 2018, including cases of lost-of-follow-up and withdrawing medications in Yunnan Province were included. The status of drop-out and demographic data were collected from survey questionnaires and the extracted medical-visiting records from the China National Free Antiretroviral Treatment Program Database of Chinese Center for Disease Control and Prevention. Chi-square test was used in statistical analysis and logistic regression was applied in analyzing factors related with re-engagement.Results:Among the total 6 075 cases with HIV infection which were recorded with the status of drop-out during ART in Yunnan Province, 5 340(87.9%) cases were confirmed drop-out, 540(8.9%) cases were false dropping-out due to belated medical visiting records, 109(1.8%) cases provided invalid answers or had no response to survey questionnaire, and 86(1.4%) cases failed to report results. Among 5 340 confirmed drop-out cases, the findings showed that 923(17.3%) cases were tracked and successfully re-initiated ART, 2 327(43.6%) cases could not be contacted, 1 443(27.0%) cases refused ART, 100(1.9%) cases died, 39(0.7%) cases came back for treatment by self-willing, 91(1.7%) cases were detained, and 417(7.8%) cases were in other situations. Tracking the dropping-out cases were through the workers based on the health facilities including ART clinics, centers for disease control and prevention and the community-based organizations. They tracked the dropping-out cases by phone, through household visiting or face-to-face communication. Statistically significant differences were found in the proportion of patients re-engagement by gender, re-engagement age, route of infection, education level and time from entry to last loss ( χ2=6.14, 21.26, 8.24, 17.69, 12.75, respectively, all P<0.050). The logistic regression suggested that the protective factors related with the re-engagement included female (adjusted odds ratio (a OR)=1.34, 95% confidence interval ( CI) 1.12 to 1.61, P=0.002), re-engagement age≤30 year-old (a OR=1.78, 95% CI 1.25 to 2.55, P<0.001), age of 31 to 60 year-old (a OR=1.33, 95% CI 1.01 to 1.76, P=0.043), education level with primary school to high school or technical secondary school (a OR=1.56, 95% CI 1.21 to 2.01, P<0.001), the period>24 months between first initiating ART and dropping-out (a OR=1.37, 95% CI 1.11 to 1.70, P=0.004). Conclusions:The program of tracking and re-engagement for ART dropping-out patients in Yunnan Province needs multi-department participation and investing large resources, but the success rate of tracking and re-engagement is not high. The protective factors related with re-engagement are female, re-engagement age≤60 year-old, education level with primary school to high school or technical secondary school, the period>24 months between first initiating ART and dropping-out.

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