1.Reflection on Assisted Reproductive Technology Cases based on WAS Syndrome Gene Mutation
Qixia LIAO ; Guangwu SU ; Jingsi CHEN ; Junrong LIU
Chinese Medical Ethics 2022;35(3):263-266
With the development of assisted reproductive technology, there will be more and more complex conflicts of interest issues and challenges. This paper used clinical medicine, legal and ethical analysis of WAS syndrome gene mutation assisted reproductive technology cases, emphasized that the law is the bottom line of morality, strengthen the consulting duty of the ethics committee of reproductive medicine, and pointed out that medical staff must fully perform the obligation of notification, respect their autonomy and provide patients with best medical assistance.
2.Reflection on Assisted Reproductive Technology Cases based on WAS Syndrome Gene Mutation
Qixia LIAO ; Guangwu SU ; Jingsi CHEN ; Junrong LIU
Chinese Medical Ethics 2024;35(3):263-266
With the development of assisted reproductive technology, there will be more and more complex conflicts of interest issues and challenges. This paper used clinical medicine, legal and ethical analysis of WAS syndrome gene mutation assisted reproductive technology cases, emphasized that the law is the bottom line of morality, strengthen the consulting duty of the ethics committee of reproductive medicine, and pointed out that medical staff must fully perform the obligation of notification, respect their autonomy and provide patients with best medical assistance.
3.Ethical Analysis on a Patient with a Chronic Wound Nonunion Refused to be Hospitalized
Zhenlan XIA ; Liping CHEN ; Linling YANG ; Qixia LIAO ; Junrong LIU
Chinese Medical Ethics 2022;35(9):1012-1016
This paper introduced a case of ethical conflict between the principle of benefit and the principle of respect in the formulating treatment and nursing plan for patient with chronic wound nonunion by specialist nurses, and used the "structured analysis form of clinical nursing ethics" designed by the Third Affiliated Hospital of Guangzhou Medical University to conduct ethical analysis and ethical decision-making, and solve the clinical nursing ethical problems of complex nursing cases. The practice of the case showed that under the situation of ethical conflict in making nursing treatment plan for patient, the application of structured ethical analysis of clinical nursing is helpful to improve nurses’ ethical decision-making ability and strengthen their ethical thinking. It is suggested to strengthen nurses’ ethical thinking in clinical nursing, continuously improve nurses’ ethical decision-making ability, and cultivate core nursing technology integrating science and humanities, thus to enhance nursing value.
4.Optimization of succinic acid fermentation with Actinobacillus succinogenes by response surface methodology.
Naikun SHEN ; Yan QIN ; Qingyan WANG ; Nengzhong XIE ; Huizhi MI ; Qixia ZHU ; Siming LIAO ; Ribo HUANG
Chinese Journal of Biotechnology 2013;29(10):1473-1483
Succinic acid is an important C4 platform chemical in the synthesis of many commodity and special chemicals. In the present work, different compounds were evaluated for succinic acid production by Actinobacillus succinogenes GXAS 137. Important parameters were screened by the single factor experiment and Plackeet-Burman design. Subsequently, the highest production of succinic acid was approached by the path of steepest ascent. Then, the optimum values of the parameters were obtained by Box-Behnken design. The results show that the important parameters were glucose, yeast extract and MgCO3 concentrations. The optimum condition was as follows (g/L): glucose 70.00, yeast extract 9.20 and MgCO3 58.10. Succinic acid yield reached 47.64 g/L at the optimal condition. Succinic acid increased by 29.14% than that before the optimization (36.89 g/L). Response surface methodology was proven to be a powerful tool to optimize succinic acid production.
Actinobacillus
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classification
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genetics
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metabolism
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Bioreactors
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Culture Media
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metabolism
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Fermentation
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Glucose
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metabolism
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Industrial Microbiology
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methods
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Succinic Acid
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metabolism