• Proceedings of the Plant Resources Society of Korea Conference
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• 2022.09a
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• pp.73-73
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• 2022

Lettuce (Lactuca sativa L., Family Asteraceae) is highly ranked in production and economic value and is consumed either fresh or in salad mixes because of its important dietary source of bioactive phytochemicals. The world collection of Lactuca spp. leafy crops, maintained in NAC, includes 2,464 accessions from 71 countries around the world, of which 2,411 belong to L. sativa species, nineteen to L. saligna, and fifteen to L. serriolar. We aimed to investigate the lettuce germplasm with morphological and biochemical analyses and provide new material for breeding. The lettuce crop comprises seven main groups of cultivars (including oilseed lettuce) differing phenotypically. Agricultural characteristcs were investigated including time to bolting, time to flowering, seed color, flower color, leaf attitude, leaf color, leaf anthocyanin coloration, type of incision of margin, depth of incisions of margins, and leaf venation. Screening of the health beneficial metabolites like anthocyanin and bitter sesquiterpene lactones (lactucin and lactucopicrin) was also conducted. The range of anthocyanin and SLs were 0~563.78 mg/100g D.W. and 3.74~3311.66 ug/g D.W., respectively. The investigation of the degree of variation regarding phenotypic traits and biochemical revealed adaptive stable and highly variable use of trait collection.

• Journal of the Korea Society of Computer and Information
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• v.28 no.11
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• pp.53-63
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• 2023

This study developed a cognitive impairment predictive model as one of the screening tests for preventing dementia in the elderly by using Automated Machine Learning(AutoML). We used 'Wearable lifelog data for high-risk dementia patients' of National Information Society Agency, then conducted using PyCaret 3.0.0 in the Google Colaboratory environment. This study analysis steps are as follows; first, selecting five models demonstrating excellent classification performance for the model development and lifelog data analysis. Next, using ensemble learning to integrate these models and assess their performance. It was found that Voting Classifier, Gradient Boosting Classifier, Extreme Gradient Boosting, Light Gradient Boosting Machine, Extra Trees Classifier, and Random Forest Classifier model showed high predictive performance in that order. This study findings, furthermore, emphasized on the the crucial importance of 'Average respiration per minute during sleep' and 'Average heart rate per minute during sleep' as the most critical feature variables for accurate predictions. Finally, these study results suggest that consideration of the possibility of using machine learning and lifelog as a means to more effectively manage and prevent cognitive impairment in the elderly.

• Journal of Society of Preventive Korean Medicine
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• v.28 no.1
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• pp.119-130
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• 2024

Objectives : The objective of this review is to examine the variety of evaluation parameters utilized in clinical trials that assess the anticancer efficacy of herbal medicine, focusing on the importance of including both symptomatic management and direct anticancer effectiveness. Methods : A detailed literature review was conducted across PubMed, Embase, and the Cochrane Library to identify clinical trials investigating the antitumor efficacy of herbal medicine. The search was performed on February 22, 2024. This review specifically examined the employed outcome measures, which were then categorized and analyzed to understand their relevance and application in evaluating the anticancer properties of herbal medicine. Results : From an initial search of 900 records, 15 clinical trials were selected for in-depth analysis after deduplication and screening. These studies evaluated the efficacy of herbal medicine across various cancers, including hepatocellular carcinoma, colorectal cancer, and breast cancer, using outcome measures such as survival rates, disease control rates, and quality of life improvements. The research spanned multiple countries, primarily in East Asia and the United States, reflecting a global interest in herbal medicine as a complementary approach to cancer treatment. The present study demonstrated that herbal medicine, especially when used alongside standard treatments, potentially improved clinical outcomes and patient well-being. Conclusions : The findings of this review highlight the need for a broader focus on the full range of therapeutic capabilities of herbal medicine, including its direct anticancer effects, in the management of cancer patients. Future oncology research involving herbal medicine should integrate a wide spectrum of clinical endpoints to fully ascertain its impact on cancer treatment and patient health.

• Journal of Ginseng Research
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• v.48 no.1
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• pp.40-51
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• 2024

Background: Ginsenoside 20(S)-Rg3 shows promising tumor-suppressive effects in ovarian cancer via inhibiting NF-kB signaling. This study aimed to explore the downstream tumor suppressive mechanisms of ginsenoside Rg3 via this signaling pathway. Materials and methods: A systematical screening was applied to examine the expression profile of 41 kinesin family member genes in ovarian cancer. The regulatory effect of ginsenoside Rg3 on KIF20A expression was studied. In addition, we explored interacting proteins of KIF20A and their molecular regulations in ovarian cancer. RNA-seq data from The Cancer Genome Atlas (TCGA) was used for bioinformatic analysis. Epithelial ovarian cancer cell lines SKOV3 and A2780 were used as in vitro and in vivo cell models. Commercial human ovarian cancer tissue arrays were used for immunohistochemistry staining. Results: KIF20A is a biomarker of poor prognosis among the kinesin genes. It promotes ovarian cancer cell growth in vitro and in vivo. Ginsenoside Rg3 can suppress the transcription of KIF20A. GST pull-down and co-immunoprecipitation (IP) assays confirmed that KIF20A physically interacts with BTRC (β-TrCP1), a substrate recognition subunit for SCF^β-TrCP E3 ubiquitin ligase. In vitro ubiquitination and cycloheximide (CHX) chase assays showed that via interacting with BTRC, KIF20A reduces BTRC-mediated CDC25A poly-ubiquitination and enhances its stability. Ginsenoside Rg3 treatment partly abrogates KIF20A overexpression-induced CDC25A upregulation. Conclusion: This study revealed a novel anti-tumor mechanism of ginsenoside Rg3. It can inhibit KIF20A transcription and promote CDC25A proteasomal degradation in epithelial ovarian cancer.

• Clinical Endoscopy
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• v.56 no.1
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• pp.75-82
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• 2023

Background/Aims: The etiology of superficial non-ampullary duodenal epithelial tumors (SNADETs) remains unclear. Recent studies have reported conflicting associations between duodenal tumor development and Helicobacter pylori infection or endoscopic gastric mucosal atrophy. As such, the present study aimed to clarify the relationship between SNADETs and H. pylori infection and/or endoscopic gastric mucosal atrophy. Methods: This retrospective case-control study reviewed data from 177 consecutive patients with SNADETs who underwent endoscopic or surgical resection at seven institutions in Japan over a three-year period. The prevalence of endoscopic gastric mucosal atrophy and the status of H. pylori infection were compared in 531 sex- and age-matched controls selected from screening endoscopies at two of the seven participating institutions. Results: For H. pylori infection, 85 of 177 (48.0%) patients exhibited SNADETs and 112 of 531 (21.1%) control patients were non-infected (p<0.001). Non-atrophic mucosa (C0 to C1) was observed in 96 of 177 (54.2%) patients with SNADETs and 112 of 531 (21.1%) control patients (p<0.001). Conditional logistic regression analysis revealed that non-atrophic gastric mucosa was an independent risk factor for SNADETs (odds ratio, 5.10; 95% confidence interval, 2.44-8.40; p<0.001). Conclusions: Non-atrophic gastric mucosa, regardless of H. pylori infection status, was a factor independently associated with SNADETs.

• Journal of Preventive Medicine and Public Health
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• v.57 no.1
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• pp.47-54
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• 2024

Objectives: This study was conducted to systematically summarize trends in research concerning patients with coronavirus disease 2019 (COVID-19) as reported in Korean medical journals. Methods: We performed a literature search of KoreaMed from January 2020 to September 2022. We included only primary studies of patients with COVID-19. Two reviewers screened titles and abstracts, then performed full-text screening, both independently and in duplicate. We first identified the 5 journals with the greatest numbers of eligible publications, then extracted data pertaining to the general characteristics, study population attributes, and research features of papers published in these journals. Results: Our analysis encompassed 142 primary studies. Of these, approximately 41.0% reported a funding source, while 3.5% disclosed a conflict of interest. In 2020, 42.9% of studies included fewer than 10 participants; however, by 2022, the proportion of studies with over 200 participants had increased to 40.6%. The most common design was the cohort study (48.6%), followed by case reports/series (35.2%). Only 3 randomized controlled trials were identified. Studies most frequently focused on prognosis (58.5%), followed by therapy/intervention (20.4%). Regarding the type of intervention/exposure, therapeutic clinical interventions comprised 26.1%, while studies of morbidity accounted for 13.4%. As for the outcomes measured, 50.7% of studies assessed symptoms/clinical status/improvement, and 14.1% evaluated mortality. Conclusions: Employing a systematic approach, we examined the characteristics of research involving patients with COVID-19 that was published in Korean medical journals from 2020 onward. Subsequent research should assess not only publication trends over a longer timeframe but also the quality of evidence provided.

• Journal of Digestive Cancer Research
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• v.11 no.3
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• pp.165-170
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• 2023

Gastric cancer is histologically classified into two types. One is the intestinal and diffuse type according to Lauren's classification, and the other is the differentiated and undifferentiated type based on Nakamura's classification. In 2007, Japanese groups proposed a new type of well-differentiated gastric adenocarcinoma in the gastric fundic glands with distinct endoscopic and clinicopathologic features. This is gastric adenocarcinoma of the fundic-gland type (GA-FG), a rare variant of gastric cancer. In a 2012 Korean study, of 6,000 cases of gastric cancer tissues, only three cases of GA-FG were identified. GA-FG is usually located in the upper third of the stomach and not known to be associated with the Helicobacter pylori infection. We herein report a case of GA-FG diagnosed in a 63-year-old man. A gastric polyp was incidentally detected during an upper endoscopy screening while conducting a health check-up, and he was diagnosed with GA-FG after an endoscopic mucosal resection (EMR) was conducted for diagnostic and therapeutic purposes. Our case suggests that for both diagnostic and therapeutic purposes, EMR may be beneficial in case of gastric polyps with suspected GA-FG.

• Journal of Integrative Natural Science
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• v.16 no.4
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• pp.123-131
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• 2023

Breast cancer continues to pose a substantial worldwide health challenge, thereby requiring the development of innovative strategies to discover new therapeutic interventions. Signal Transducer and Activator of Transcription 3 (STAT-3) has been identified as a significant factor in the development of several types of cancer, including breast cancer. This is primarily attributed to its diverse functions in promoting tumour formation and conferring resistance to therapeutic interventions. This study presents an in silico drug repositioning approach that focuses on identifying specific inhibitors of STAT-3 for the purpose of treating breast cancer. We initially examined the structural and functional attributes of STAT-3, thereby elucidating its crucial involvement in cellular signalling cascades. A comprehensive virtual screening was performed on a diverse collection of drugs that have been approved by the FDA from zinc15 database. Various computational techniques, including molecular docking, cross docking, and cDFT analysis, were utilised in order to prioritise potential candidates. This prioritisation was based on their predicted binding energies and outer molecular orbital reactivity. The findings of our study have unveiled a Dihydroergotamine and Paritaprevir that have been approved by the FDA and exhibit considerable promise as selective inhibitors of STAT-3. In conclusion, the utilisation of our in silico drug repositioning approach presents a prompt and economically efficient method for the identification of potential compounds that warrant subsequent experimental validation as selective STAT-3 inhibitors in the context of breast cancer. The present study highlights the considerable potential of employing computational strategies to expedite the drug discovery process. Moreover, it provides valuable insights into novel avenues for targeted therapeutic interventions in the context of breast cancer treatment.

• Journal of Advanced Technology Convergence
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• v.3 no.3
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• pp.37-45
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• 2024

This study reviews the literature on the utilization of gamification elements in digital applications for cognitive assessment and rehabilitation of the elderly, focusing on both domestic and international research from 2015 to 2024. Following the PRISMA methodology, inclusion and exclusion criteria were applied to align with the research objectives. Out of 1,718 initial studies, 18 were ultimately analyzed after a screening and filtering process. The results of this literature review indicate a growing interest in cognitive training and other interventions aimed at mitigating cognitive decline among the elderly. Additionally, it was found that the gamification elements of digital applications are effective in engaging elderly users and improving cognitive functions such as memory, attention, and executive function. The findings of this study suggest that integrating gamification elements can enhance user engagement and provide practical solutions for cognitive health management. Further research is needed to explore the long-term effects and broader applicability of these digital interventions.

• Journal of the Korea Organic Resources Recycling Association
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• v.18 no.4
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• pp.54-63
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• 2010

When MBT(Mechanical Biological Treatment) facility is designed, the management system adequate for domestic circumstance in Korea has been insufficient and power plant's load on seasonal variation has not been resolved yet. Thus, this study introduced MBT facility and MSW(Municipal Solid Waste)'s seasonal emission characteristics were investigated in order to establish new MBT management system. and additional thermal buffer-materials's calorific values were also considered to reduce the power plant's load. The results showed that the screening efficiency of MBT facility and the physical characteristics of each waste can be identified, and the calorific value by seasonal variation for MBT facility can be kept constant all the year round by using an additional thermal buffer-materials.