No abstract available.
Animals ; Neurons* ; Rats*

No abstract available.
Animals ; Growth Hormone* ; Prolactin* ; Rats*

No abstract available.
Animals ; Rats* ; Somatotrophs*

Apoptosis is a genetically programmed cell death that is required for morphogenesis during embryogenic development and for tissue homeostasis in adult organisms. Although apoptosis is important in the development, expression of apoptosis-related genes has been studied mostly in the cancers and neurodegenerative diseases. We intended to obtain the basic data in order to understand the role of the apoptosis-related genes including bcl-2 in the apoptosis in the human development. Immunohiostochemistry for Bcl-2 was performed using Korean fetal lung, kidney, thymus, placenta, testis, small intestine, pancrease, skin, urinary bladder tissues in the 14~30 weeks of the human development. Our results showed that Bcl-2 appeared in early stages of human development in the lung, kidney, thymus, placenta, small intestine, pancreas. As differentiation grew, expression of Bcl-2 decreased and had the tendency of localizing in the bronchial epitheliums, tubular epitheliums, Bowman's epithelium, lymphocytes, synchytial trophoblasts, intestinal epitheliums, ganglionic cells, ductal epitheliums of pancreas. We suggested that in the early stages when differentiation didn't occur cell death was suppressed, in the late stages when differentiation was achieving cell death increased to remove the innecessary portions of the organs to protect the specific cells of the organs having functions. For the efficiency of the experiment, a high-throughput technique, a tissue-array method was applied which contributed to save time, money and labor without performance errors. Tissue-array technique will be useful to fasten the developmental studies.
Adult ; Male ; Female ; Humans

BACKGROUND: Unplanned extubation (UE) of patients requiring mechanical ventilation in an intensive care unit (ICU) is associated with poor outcomes for patients and organizations. This study was conducted to assess the clinical features of patients who experienced UE and to determine the risk factors affecting reintubation after UE in an ICU. METHODS: Among all adult patients admitted to the ICU in our institution who required mechanical ventilation between January 2011 and December 2013, those in whom UE was noted were included in the study. Data were categorized according to noninvasive or invasive management after UE. RESULTS: The rate of UE was 0.78% (the number of UEs per 100 days of mechanical ventilation). The incidence of self-extubation was 97.2%, while extubation was accidental in the remaining patients. Two cases of cardiac arrest combined with respiratory arrest after UE were noted. Of the 214 incidents, 54.7% required invasive management after UE. Long duration of mechanical ventilation (odds ratio [OR] 1.52; 95% confidence interval [CI] 1.32-1.75; p = 0.000) and high ICU mortality (OR 4.39; 95% CI 1.33-14.50; p = 0.015) showed the most significant association with invasive management after UE. In multivariate analysis, younger age (OR 0.96; 95% CI 0.93-0.99; p = 0.005), medical patients (OR 4.36; 95% CI 1.95-9.75; p = 0.000), use of sedative medication (OR 4.95; 95% CI 1.97-12.41; p = 0.001), large amount of secretion (OR 2.66; 95% CI 1.01-7.02; p = 0.049), and low PaO2/FiO2 ratio (OR 0.99; 95% CI 0.98-0.99; p = 0.000) were independent risk factors of invasive management after UE. CONCLUSIONS: To prevent unfavorable clinical outcomes, close attention and proper ventilatory support are required for patients with risk factors who require invasive management after UE.
Adult ; Heart Arrest ; Humans ; Incidence ; Intensive Care Units* ; Critical Care* ; Mortality ; Multivariate Analysis ; Respiration, Artificial ; Risk Factors

Some of the pituitary prolactinomas were reported that they don't have active dopamine receptors and do not respond to bromocriptine which is a dopamine agonist. GH3 cell line which is derived from the rat pituitary tumor cells lacks affinity of dopamine receptors and secrete prolactin as well as small amount of growth hormone. Although it has been reported that epidermal growth factor (EGF) induces functional expression of dopamine receptors on GH3 cells in vitro, there has been a contradictory result. In the present study, EGF effect on the GH3 cell response to the bromocriptine was observed in order to investigate whether EGF induces dopamine receptor expression on dopamine resistant tumors in the absence of serum. GH3 cells were cultured for 4 days in the serum-supplemented medium (SSM) followed by culture in serum-free medium (SFM) with or without EGF. Additionally, effect of tamoxifen was also observed. EGF decreased the cell number and the ratio of cell division of GH3 cells while the ratio of prolactin-immunoreac-tive cells was increased. However, EGF did not show any significant effect on the GH3 cell response to bromocriptine treatment. Although tamoxifen decreased the GH3 cell number by increasing apoptosis, it did not influence GH3 cell response to bromocriptine. Our results indicate that EGF does not increase the affinity of dopamine receptors on GH3 cells and is not useful for the treatment of the dopamine-resistant prolactinoma.
Animals ; Apoptosis ; Bromocriptine ; Cell Count ; Cell Division ; Cell Line ; Dopamine ; Dopamine Agonists ; Epidermal Growth Factor* ; Growth Hormone ; Pituitary Neoplasms ; Prolactin ; Prolactinoma ; Rats ; Receptors, Dopamine ; Tamoxifen

Purpose: This study analyzed the career paths of medical school graduates in the Daejeon, Sejong, and Chungcheongnam-do (DSC) region of South Korea, focusing on career choice factors at each career path. The ultimate goal was to derive practical insights to improve career guidance in the medical field and enhance professionalism. Methods: Data were collected through in-depth interviews with 10 medical school graduates working in the DSC region. A semi-structured questionnaire was used to explore their career paths, and factors influencing their career decisions. The collected qualitative data were analyzed using the constant comparative method to identify themes and categories. Results: The study results categorized career stages into three phases: “entering medical school,” “choosing a specialty after graduation,” and “choosing a workplace after training.” Career choice factors were classified into “personal factors,” “social factors,” and “job and work environment factors.” The factors influencing career choices differed across each career path. Conclusion This study holds significance in its in-depth analysis of career choice factors across different career paths from a long-term perspective. The findings suggest that effective support for career decision-making in the medical field requires a tailored approach that considers the distinct needs and influencing factors at each career path.

Purpose: This study analyzed the career paths of medical school graduates in the Daejeon, Sejong, and Chungcheongnam-do (DSC) region of South Korea, focusing on career choice factors at each career path. The ultimate goal was to derive practical insights to improve career guidance in the medical field and enhance professionalism. Methods: Data were collected through in-depth interviews with 10 medical school graduates working in the DSC region. A semi-structured questionnaire was used to explore their career paths, and factors influencing their career decisions. The collected qualitative data were analyzed using the constant comparative method to identify themes and categories. Results: The study results categorized career stages into three phases: “entering medical school,” “choosing a specialty after graduation,” and “choosing a workplace after training.” Career choice factors were classified into “personal factors,” “social factors,” and “job and work environment factors.” The factors influencing career choices differed across each career path. Conclusion This study holds significance in its in-depth analysis of career choice factors across different career paths from a long-term perspective. The findings suggest that effective support for career decision-making in the medical field requires a tailored approach that considers the distinct needs and influencing factors at each career path.

Purpose: This study analyzed the career paths of medical school graduates in the Daejeon, Sejong, and Chungcheongnam-do (DSC) region of South Korea, focusing on career choice factors at each career path. The ultimate goal was to derive practical insights to improve career guidance in the medical field and enhance professionalism. Methods: Data were collected through in-depth interviews with 10 medical school graduates working in the DSC region. A semi-structured questionnaire was used to explore their career paths, and factors influencing their career decisions. The collected qualitative data were analyzed using the constant comparative method to identify themes and categories. Results: The study results categorized career stages into three phases: “entering medical school,” “choosing a specialty after graduation,” and “choosing a workplace after training.” Career choice factors were classified into “personal factors,” “social factors,” and “job and work environment factors.” The factors influencing career choices differed across each career path. Conclusion This study holds significance in its in-depth analysis of career choice factors across different career paths from a long-term perspective. The findings suggest that effective support for career decision-making in the medical field requires a tailored approach that considers the distinct needs and influencing factors at each career path.

Purpose: This study analyzed the career paths of medical school graduates in the Daejeon, Sejong, and Chungcheongnam-do (DSC) region of South Korea, focusing on career choice factors at each career path. The ultimate goal was to derive practical insights to improve career guidance in the medical field and enhance professionalism. Methods: Data were collected through in-depth interviews with 10 medical school graduates working in the DSC region. A semi-structured questionnaire was used to explore their career paths, and factors influencing their career decisions. The collected qualitative data were analyzed using the constant comparative method to identify themes and categories. Results: The study results categorized career stages into three phases: “entering medical school,” “choosing a specialty after graduation,” and “choosing a workplace after training.” Career choice factors were classified into “personal factors,” “social factors,” and “job and work environment factors.” The factors influencing career choices differed across each career path. Conclusion This study holds significance in its in-depth analysis of career choice factors across different career paths from a long-term perspective. The findings suggest that effective support for career decision-making in the medical field requires a tailored approach that considers the distinct needs and influencing factors at each career path.