1.A Case Study of Imagery Rehearsal Therapy in a Nightmare Disorder Patient with Posttraumatic Stress Disorder
Soyeong PARK ; Su Jung CHOI ; Eun Yeon JOO ; Sooyeon SUH
Journal of Sleep Medicine 2019;16(1):61-66
Nightmares are vivid, unpleasant dreams that result in awakening during sleep. According to previous studies, the prevalence of nightmare disorder is 2–5% of the general population and is associated with other medical conditions and mental illnesses. Imagery rehearsal therapy (IRT) is an evidence-based treatment for nightmare disorder. The current study is a case study with a 35-year-old female who was diagnosed with nightmare disorder and posttraumatic stress disorder, and participated in IRT for five sessions. Prior to treatment, the patient reported difficulties initiating and maintaining sleep, and reported suffering from nightmares more than 2–3 times per week. After treatment, the patient reported no longer experienced nightmares, accompanied by improvements in both sleep and clinical indicators.
Adult
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Dreams
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Female
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Humans
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Prevalence
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Sleep Initiation and Maintenance Disorders
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Stress Disorders, Post-Traumatic
2.The effect of providing nutritional information about fast-food restaurant menus on parents' meal choices for their children.
Jae Young AHN ; Hae Ryun PARK ; Kiwon LEE ; Sooyoun KWON ; Soyeong KIM ; Jihye YANG ; Kyung Hee SONG ; Youngmi LEE
Nutrition Research and Practice 2015;9(6):667-672
BACKGROUND/OBJECTIVES: To encourage healthier food choices for children in fast-food restaurants, many initiatives have been proposed. This study aimed to examine the effect of disclosing nutritional information on parents' meal choices for their children at fast-food restaurants in South Korea. SUBJECTS/METHODS: An online experimental survey using a menu board was conducted with 242 parents of children aged 2-12 years who dined with them at fast-food restaurants at least once a month. Participants were classified into two groups: the low-calorie group (n = 41) who chose at least one of the lowest calorie meals in each menu category, and the high-calorie group (n = 201) who did not. The attributes including perceived empowerment, use of provided nutritional information, and perceived difficulties were compared between the two groups. RESULTS: The low-calorie group perceived significantly higher empowerment with the nutritional information provided than did the high-calorie group (P = 0.020). Additionally, the low-calorie group was more interested in nutrition labeling (P < 0.001) and considered the nutritional value of menus when selecting restaurants for their children more than did the high-calorie group (P = 0.017). The low-calorie group used the nutritional information provided when choosing meals for their children significantly more than did the high-calorie group (P < 0.001), but the high-calorie group had greater difficulty using the nutritional information provided (P = 0.012). CONCLUSIONS: The results suggest that improving the empowerment of parents using nutritional information could be a strategy for promoting healthier parental food choices for their children at fast-food restaurants.
Child*
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Food Labeling
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Humans
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Korea
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Meals*
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Nutritive Value
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Parents
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Power (Psychology)
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Restaurants*
3.Downregulation of MicroRNA-495 Alleviates IL-1β Responses among Chondrocytes by Preventing SOX9 Reduction
Soyeong JOUNG ; Dong Suk YOON ; Sehee CHO ; Eun Ae KO ; Kyoung-Mi LEE ; Kwang Hwan PARK ; Jin Woo LEE ; Sung-Hwan KIM
Yonsei Medical Journal 2021;62(7):650-659
Purpose:
Our previous work demonstrated that miRNA-495 targets SOX9 to inhibit chondrogenesis of mesenchymal stem cells.In this study, we aimed to investigate whether miRNA-495-mediated SOX9 regulation could be a novel therapeutic target for osteoarthritis (OA) using an in vitro cell culture model.
Materials and Methods:
An in vitro model mimicking the OA environment was established using TC28a2 normal human chondrocyte cells. Interleukin-1β (IL-1β, 10 ng/mL) was utilized to induce inflammation-related changes in TC28a2 cells. Safranin O staining and glycosaminoglycan assay were used to detect changes in proteoglycans among TC28a2 cells. Expression levels of COX-2, ADAMTS5, MMP13, SOX9, CCL4, and COL2A1 were examined by qRT-PCR and/or Western blotting. Immunohistochemistry was performed to detect SOX9 and CCL4 proteins in human cartilage tissues obtained from patients with OA.
Results:
miRNA-495 was upregulated in IL-1β-treated TC28a2 cells and chondrocytes from damaged cartilage tissues of patients with OA. Anti-miR-495 abolished the effect of IL-1β in TC28a2 cells and rescued the protein levels of SOX9 and COL2A1, which were reduced by IL-1β. SOX9 was downregulated in the damaged cartilage tissues of patients with OA, and knockdown of SOX9 abolished the effect of anti-miR-495 on IL-1β-treated TC28a2 cells.
Conclusion
We demonstrated that inhibition of miRNA-495 alleviates IL-1β-induced inflammatory responses in chondrocytes by rescuing SOX9 expression. Accordingly, miRNA-495 could be a potential novel target for OA therapy, and the application of anti-miR-495 to chondrocytes could be a therapeutic strategy for treating OA.
4.Downregulation of MicroRNA-495 Alleviates IL-1β Responses among Chondrocytes by Preventing SOX9 Reduction
Soyeong JOUNG ; Dong Suk YOON ; Sehee CHO ; Eun Ae KO ; Kyoung-Mi LEE ; Kwang Hwan PARK ; Jin Woo LEE ; Sung-Hwan KIM
Yonsei Medical Journal 2021;62(7):650-659
Purpose:
Our previous work demonstrated that miRNA-495 targets SOX9 to inhibit chondrogenesis of mesenchymal stem cells.In this study, we aimed to investigate whether miRNA-495-mediated SOX9 regulation could be a novel therapeutic target for osteoarthritis (OA) using an in vitro cell culture model.
Materials and Methods:
An in vitro model mimicking the OA environment was established using TC28a2 normal human chondrocyte cells. Interleukin-1β (IL-1β, 10 ng/mL) was utilized to induce inflammation-related changes in TC28a2 cells. Safranin O staining and glycosaminoglycan assay were used to detect changes in proteoglycans among TC28a2 cells. Expression levels of COX-2, ADAMTS5, MMP13, SOX9, CCL4, and COL2A1 were examined by qRT-PCR and/or Western blotting. Immunohistochemistry was performed to detect SOX9 and CCL4 proteins in human cartilage tissues obtained from patients with OA.
Results:
miRNA-495 was upregulated in IL-1β-treated TC28a2 cells and chondrocytes from damaged cartilage tissues of patients with OA. Anti-miR-495 abolished the effect of IL-1β in TC28a2 cells and rescued the protein levels of SOX9 and COL2A1, which were reduced by IL-1β. SOX9 was downregulated in the damaged cartilage tissues of patients with OA, and knockdown of SOX9 abolished the effect of anti-miR-495 on IL-1β-treated TC28a2 cells.
Conclusion
We demonstrated that inhibition of miRNA-495 alleviates IL-1β-induced inflammatory responses in chondrocytes by rescuing SOX9 expression. Accordingly, miRNA-495 could be a potential novel target for OA therapy, and the application of anti-miR-495 to chondrocytes could be a therapeutic strategy for treating OA.
5.Bone Age Estimation and Prediction of Final Adult Height Using Deep Learning
Junghwan SUH ; Jinkyoung HEO ; Su Jin KIM ; Soyeong PARK ; Mo Kyung JUNG ; Han Saem CHOI ; Youngha CHOI ; Jun Suk OH ; Hae In LEE ; Myeongseob LEE ; Kyungchul SONG ; Ahreum KWON ; Hyun Wook CHAE ; Ho-Seong KIM
Yonsei Medical Journal 2023;64(11):679-686
Purpose:
The appropriate evaluation of height and accurate estimation of bone age are crucial for proper assessment of the growth status of a child. We developed a bone age estimation program using a deep learning algorithm and established a model to predict the final adult height of Korean children.
Materials and Methods:
A total of 1678 radiographs from 866 children, for which the interpretation results were consistent between two pediatric endocrinologists, were used to train and validate the deep learning model. The bone age estimation algorithm was based on the convolutional neural network of the deep learning system. The test set simulation was performed by a deep learning program and two raters using 150 radiographs and final height data for 100 adults.
Results:
There was a statistically significant correlation between bone age interpreted by the artificial intelligence (AI) program and the reference bone age in the test set simulation (r=0.99, p<0.001). In the test set simulation, the AI program showed a mean absolute error (MAE) of 0.59 years and a root mean squared error (RMSE) of 0.55 years, compared with reference bone age, and showed similar accuracy to that of an experienced pediatric endocrinologist (rater 1). Prediction of final adult height by the AI program showed an MAE of 4.62 cm, compared with the actual final adult height.
Conclusion
We developed a bone age estimation program based on a deep learning algorithm. The AI-derived program demonstrated high accuracy in estimating bone age and predicting the final adult height of Korean children and adolescents.