Low-alcohol Huangjiu (LAH), which contains reduced contents of ethanol and higher alcohols, is prepared by diluting original Huangjiu that has a high ethanol content, which leads to a weakened flavor (i.e., acidity). To increase acidity and reduce higher alcohols level in LAH, the gene ALD6 encoding aldehyde dehydrogenase was expressed in yeast HJ-1 under the control of the pPGK1 promoter and terminators with varying activities (tGIC1, tPGK1 and tCPS1) by scarless replacement at BAT2 locus, yielding the engineered strains HJΔB-AG, HJΔB-AP, and HJΔB-AC. The acetate concentration produced by HJΔB-AG, HJΔB-AP, and HJΔB-AC was 1.26-, 1.84-, and 2.51-fold of that of HJ-1, respectively. Furthermore, the concentration of higher alcohols produced by HJΔB-AG, HJΔB-AP, and HJΔB-AC decreased by 39.91%, 45.55%, and 52.80%, respectively. This study resulted in the creation of promising recombinant yeast strains and introduced a method that can be used for the high-quality production of LAH by acid-producing Saccharomyces cerevisiae.
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http://dx.doi.org/10.1016/j.foodchem.2020.126691 | DOI Listing |
Int J Ment Health Addict
December 2024
Department of Psychology, University of Waterloo, Waterloo, ON, Canada.
This study examined differences in quit attempts, 1-month quit success, and vaping status at follow-up among a cohort of 3709 daily smokers with and without depression, anxiety, and regular alcohol use who participated in both the 2018 and 2020 International Tobacco Control Four Country Smoking and Vaping (ITC 4CV) Surveys. At baseline, a survey with validated screening tools was used to classify respondents as having no, or one or more of the following: 1) depression, 2) anxiety, and 3) regular alcohol use. Multivariable adjusted regression analyses were used to examine whether baseline (2018) self-report conditions were associated with quit attempts; quit success; and vaping status by follow-up (2020).
View Article and Find Full Text PDFFood Chem X
January 2025
School of Liquor and Food Engineering, Guizhou University, Guiyang 550025, China.
Douchiba (DCB) is a nutritious food rich in various functional components such as Tetramethylpyrazine (TTMP), and the strain fermentation is crucial for enhancing its quality. This work utilized S2-2 and S6-J1 with high TTMP production for fermentation of soybeans to optimize the pre-fermentation process and to evaluate the flavor quality of mature DCB. The concentration of TTMP in DCB fermented by mixed microbial (MG) was 2.
View Article and Find Full Text PDFFront Endocrinol (Lausanne)
December 2024
Department of VIP Region, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Background: It is necessary to find latent indicators to predict the survival of alcohol-associated liver disease (ALD) patients. Leukocyte telomere length (LTL) was regarded as an indicator of prognosis in several diseases. However, the relationships between LTL and survival as well as cause-specific mortality in ALD patients were still unknown.
View Article and Find Full Text PDFNetw Neurosci
December 2024
Laboratory for Complex Brain Networks, Wake Forest School of Medicine, Winston-Salem, NC, USA.
We generated asynchronous functional networks (aFNs) using a novel method called optimal causation entropy and compared aFN topology with the correlation-based synchronous functional networks (sFNs), which are commonly used in network neuroscience studies. Functional magnetic resonance imaging (fMRI) time series from 212 participants of the National Consortium on Alcohol and Neurodevelopment in Adolescence study were used to generate aFNs and sFNs. As a demonstration of how aFNs and sFNs can be used in tandem, we used multivariate mixed effects models to determine whether age interacted with node efficiency to influence connection probabilities in the two networks.
View Article and Find Full Text PDFJ Hunger Environ Nutr
January 2024
College of Population Health, University of New Mexico, Albuquerque, NM.
We examined discordant food security (FS) status classification between the USDA 10-item and six-item FS Survey Modules (FSSMs) among students at a U.S. university.
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