1.Production of 2, 3-butanediol and succinic acid by Salinivibrio YS.
Yuansheng XUE ; Gulsimay AIBAIDULA ; Guoqiang CHEN
Chinese Journal of Biotechnology 2011;27(12):1742-1748
The production of 2, 3-butanediol and succinic acid by a moderate halophile under anaerobic condition was investigated. This halophile, termed Salinivibrio YS, was isolated from the solid samples collected from Aydingkol Lake. Based on the single factor experiment, the parameters and their values for the production were obtained. Then, the optimum values of these parameters by the orthogonal experiments were obtained: temperature, 33 degrees C; initial pH of fermentation, 8.0; the pH during fermentation, 7.0; the concentration of acetic acid was 3 g/L and NaC1 was 10 g/L. Finally, a 3-L fermentation based on these conditions was carried out. After 108 h of fermentation under anaerobic condition, 35.05 g/L of 2, 3-butanediol and 22.46 g/L of succinic acid were obtained. About 50% of total glucose conversion was achieved. The study on 2, 3-butanediol and succinic acid by a halophile under anaerobic condition will expand the applications of halophiles and open a new area of production of 2, 3-butanediol and succinic acid.
Anaerobiosis
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Butylene Glycols
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metabolism
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Fermentation
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Halobacteriales
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metabolism
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Succinic Acid
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metabolism
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Vibrionaceae
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metabolism
2.Airway parameters and reference value range of high-resolution CT reconstruction in general population
Xue CAO ; Li LIN ; Yanting LI ; Hong LIU ; Yuansheng LIU ; Jinglong TANG ; Wei HAN ; Shuguang LENG ; Shanfa YU ; Yuxin ZHENG
Chinese Journal of Industrial Hygiene and Occupational Diseases 2020;38(5):339-344
Objective:To investigate the measurement of small airways by high-resolution CT and image post-processing software. Screen and analyze the reconstructed airway parameters in order to find the best imaging biomarker parameters of small airway changes and calculate the reference value range; meanwhile, explore its influencing factors.Methods:From a water plant and a medical school, 169 cases of the general population aged 20 to 60 were selected as research objects, and questionnaire surveys and CT tests were performed, and CT data were reconstructed with image post-processing software. The reference value range of the general population was evaluated, and a linear mixed effect model was used to adjust the age, gender, height, BMI, and smoking status, and analyze the influencing factors of airway parameters.Results:The ratio of sixth-grade tracheal wall area to total tracheal area in the Left B1+2 to carina was (53.01±13.35) %, Left B9 to carina was (50.44±12.98) %, Right B1 to carina was (52.73±12.22) %, and Right B9 to carina was (52.93±11.85) %. The ratio of nineth-grade tracheal wall area to total tracheal area in the Left B1+2 to carina was (44.08±14.66) %, Left B9 to carina was (42.44±15.89) %, Right B1 to carina was (46.51±14.03) %, and Right B9 to carina is (43.54±15.87) %. BMI affect the area of the tracheal wall, all p value<0.05.Conclusion:High-resolution CT small airway morphology can make a preliminary assessment of the susceptible population of small airway-related diseases based on a range of reference values, and prevent and control it in combination with influencing factors.
3.Airway parameters and reference value range of high-resolution CT reconstruction in general population
Xue CAO ; Li LIN ; Yanting LI ; Hong LIU ; Yuansheng LIU ; Jinglong TANG ; Wei HAN ; Shuguang LENG ; Shanfa YU ; Yuxin ZHENG
Chinese Journal of Industrial Hygiene and Occupational Diseases 2020;38(5):339-344
Objective:To investigate the measurement of small airways by high-resolution CT and image post-processing software. Screen and analyze the reconstructed airway parameters in order to find the best imaging biomarker parameters of small airway changes and calculate the reference value range; meanwhile, explore its influencing factors.Methods:From a water plant and a medical school, 169 cases of the general population aged 20 to 60 were selected as research objects, and questionnaire surveys and CT tests were performed, and CT data were reconstructed with image post-processing software. The reference value range of the general population was evaluated, and a linear mixed effect model was used to adjust the age, gender, height, BMI, and smoking status, and analyze the influencing factors of airway parameters.Results:The ratio of sixth-grade tracheal wall area to total tracheal area in the Left B1+2 to carina was (53.01±13.35) %, Left B9 to carina was (50.44±12.98) %, Right B1 to carina was (52.73±12.22) %, and Right B9 to carina was (52.93±11.85) %. The ratio of nineth-grade tracheal wall area to total tracheal area in the Left B1+2 to carina was (44.08±14.66) %, Left B9 to carina was (42.44±15.89) %, Right B1 to carina was (46.51±14.03) %, and Right B9 to carina is (43.54±15.87) %. BMI affect the area of the tracheal wall, all p value<0.05.Conclusion:High-resolution CT small airway morphology can make a preliminary assessment of the susceptible population of small airway-related diseases based on a range of reference values, and prevent and control it in combination with influencing factors.
4.Prognostic significance and biological implications of SM‑like genes in mantle cell lymphoma
Xue HE ; Changjian YAN ; Yaru YANG ; Weijia WANG ; Xiaoni LIU ; Chaoling WU ; Zimu ZHOU ; Xin HUANG ; Wei FU ; Jing HU ; Ping YANG ; Jing WANG ; Mingxia ZHU ; Yan LIU ; Wei ZHANG ; Shaoxiang LI ; Gehong DONG ; Xiaoliang YUAN ; Yuansheng LIN ; Hongmei JING ; Weilong ZHANG
Blood Research 2024;59():33-
Background:
SM-like (LSM) genes a family of RNA-binding proteins, are involved in mRNA regulation and can function as oncogenes by altering mRNA stability. However, their roles in B-cell progression and tumorigenesis remain poorly understood.
Methods:
We analyzed gene expression profiles and overall survival data of 123 patients with mantle cell lymphoma (MCL). The LSM index was developed to assess its potential as a prognostic marker of MCL survival.
Results:
Five of the eight LSM genes were identified as potential prognostic markers for survival in MCL, with particular emphasis on the LSM.index. The expression levels of these LSM genes demonstrated their potential utility as classifiers of MCL. The LSM.index-high group exhibited both poorer survival rates and lower RNA levels than did the overall transcript profile. Notably, LSM1 and LSM8 were overexpressed in the LSM.index-high group, with LSM1 showing 2.5-fold increase (p < 0.001) and LSM8 depicting 1.8-fold increase (p < 0.01) than those in the LSM.index-low group.Furthermore, elevated LSM gene expression was associated with increased cell division and RNA splicing pathway activity.
Conclusions
The LSM.index demonstrates potential as a prognostic marker for survival in patients with MCL. Elevated expression of LSM genes, particularly LSM1 and LSM8, may be linked to poor survival outcomes through their involvement in cell division and RNA splicing pathways. These findings suggest that LSM genes may contribute to the aggressive behavior of MCL and represent potential targets for therapeutic interventions.
5.Prognostic significance and biological implications of SM‑like genes in mantle cell lymphoma
Xue HE ; Changjian YAN ; Yaru YANG ; Weijia WANG ; Xiaoni LIU ; Chaoling WU ; Zimu ZHOU ; Xin HUANG ; Wei FU ; Jing HU ; Ping YANG ; Jing WANG ; Mingxia ZHU ; Yan LIU ; Wei ZHANG ; Shaoxiang LI ; Gehong DONG ; Xiaoliang YUAN ; Yuansheng LIN ; Hongmei JING ; Weilong ZHANG
Blood Research 2024;59():33-
Background:
SM-like (LSM) genes a family of RNA-binding proteins, are involved in mRNA regulation and can function as oncogenes by altering mRNA stability. However, their roles in B-cell progression and tumorigenesis remain poorly understood.
Methods:
We analyzed gene expression profiles and overall survival data of 123 patients with mantle cell lymphoma (MCL). The LSM index was developed to assess its potential as a prognostic marker of MCL survival.
Results:
Five of the eight LSM genes were identified as potential prognostic markers for survival in MCL, with particular emphasis on the LSM.index. The expression levels of these LSM genes demonstrated their potential utility as classifiers of MCL. The LSM.index-high group exhibited both poorer survival rates and lower RNA levels than did the overall transcript profile. Notably, LSM1 and LSM8 were overexpressed in the LSM.index-high group, with LSM1 showing 2.5-fold increase (p < 0.001) and LSM8 depicting 1.8-fold increase (p < 0.01) than those in the LSM.index-low group.Furthermore, elevated LSM gene expression was associated with increased cell division and RNA splicing pathway activity.
Conclusions
The LSM.index demonstrates potential as a prognostic marker for survival in patients with MCL. Elevated expression of LSM genes, particularly LSM1 and LSM8, may be linked to poor survival outcomes through their involvement in cell division and RNA splicing pathways. These findings suggest that LSM genes may contribute to the aggressive behavior of MCL and represent potential targets for therapeutic interventions.
6.Prognostic significance and biological implications of SM‑like genes in mantle cell lymphoma
Xue HE ; Changjian YAN ; Yaru YANG ; Weijia WANG ; Xiaoni LIU ; Chaoling WU ; Zimu ZHOU ; Xin HUANG ; Wei FU ; Jing HU ; Ping YANG ; Jing WANG ; Mingxia ZHU ; Yan LIU ; Wei ZHANG ; Shaoxiang LI ; Gehong DONG ; Xiaoliang YUAN ; Yuansheng LIN ; Hongmei JING ; Weilong ZHANG
Blood Research 2024;59():33-
Background:
SM-like (LSM) genes a family of RNA-binding proteins, are involved in mRNA regulation and can function as oncogenes by altering mRNA stability. However, their roles in B-cell progression and tumorigenesis remain poorly understood.
Methods:
We analyzed gene expression profiles and overall survival data of 123 patients with mantle cell lymphoma (MCL). The LSM index was developed to assess its potential as a prognostic marker of MCL survival.
Results:
Five of the eight LSM genes were identified as potential prognostic markers for survival in MCL, with particular emphasis on the LSM.index. The expression levels of these LSM genes demonstrated their potential utility as classifiers of MCL. The LSM.index-high group exhibited both poorer survival rates and lower RNA levels than did the overall transcript profile. Notably, LSM1 and LSM8 were overexpressed in the LSM.index-high group, with LSM1 showing 2.5-fold increase (p < 0.001) and LSM8 depicting 1.8-fold increase (p < 0.01) than those in the LSM.index-low group.Furthermore, elevated LSM gene expression was associated with increased cell division and RNA splicing pathway activity.
Conclusions
The LSM.index demonstrates potential as a prognostic marker for survival in patients with MCL. Elevated expression of LSM genes, particularly LSM1 and LSM8, may be linked to poor survival outcomes through their involvement in cell division and RNA splicing pathways. These findings suggest that LSM genes may contribute to the aggressive behavior of MCL and represent potential targets for therapeutic interventions.