1.Cytoprotective Mechanism of Cyanidin and Delphinidin against Oxidative Stress-Induced Tenofibroblast Death.
Dae Cheol NAM ; Young Sool HAH ; Jung Been NAM ; Ra Jeong KIM ; Hyung Bin PARK
Biomolecules & Therapeutics 2016;24(4):426-432
Age-related rotator cuff tendon degeneration is related to tenofibroblast apoptosis. Anthocyanins reduce oxidative stress-induced apoptotic cell death in tenofibroblasts. The current study investigated the presence of cell protective effects in cyanidin and delphinidin, the most common aglycon forms of anthocyanins. We determined whether these anthocyanidins have antiapoptotic and antinecrotic effects in tenofibroblasts exposed to H₂O₂, and evaluated their biomolecular mechanisms. Both cyanidin and delphinidin inhibited H₂O₂-induced apoptosis in a dose-dependent manner. However, at concentrations of 100 μg/ml or greater, delphinidin showed cytotoxicity against tenofibroblasts and a decreased antinecrotic effect. Cyanidin and delphinidin both showed inhibitory effects on the H₂O₂-induced increase in intracellular ROS formation and the activation of ERK1/2 and JNK. In conclusion, both cyanidin and delphinidin have cytoprotective effects on cultured tenofibroblasts exposed to H₂O₂. These results suggest that cyanidin and delphinidin are both beneficial for the treatment of oxidative stress-mediated tenofibroblast cell death, but their working concentrations are different.
Anthocyanins
;
Apoptosis
;
Cell Death
;
Rotator Cuff
;
Tendons
2.Identification of Healthy and Unhealthy Lifestyles by a Wearable Activity Tracker in Type 2 Diabetes: A Machine Learning-Based Analysis
Kyoung Jin KIM ; Jung-Been LEE ; Jimi CHOI ; Ju Yeon SEO ; Ji Won YEOM ; Chul-Hyun CHO ; Jae Hyun BAE ; Sin Gon KIM ; Heon-Jeong LEE ; Nam Hoon KIM
Endocrinology and Metabolism 2022;37(3):547-551
Lifestyle is a critical aspect of diabetes management. We aimed to define a healthy lifestyle using objectively measured parameters obtained from a wearable activity tracker (Fitbit) in patients with type 2 diabetes. This prospective observational study included 24 patients (mean age, 46.8 years) with type 2 diabetes. Expectation–maximization clustering analysis produced two groups: A (n=9) and B (n=15). Group A had a higher daily step count, lower resting heart rate, longer sleep duration, and lower mean time differences in going to sleep and waking up than group B. A Shapley additive explanation summary analysis indicated that sleep-related factors were key elements for clustering. The mean hemoglobin A1c level was 0.3 percentage points lower at the end of follow-up in group A than in group B. Factors related to regular sleep patterns could be possible determinants of lifestyle clustering in patients with type 2 diabetes.
3.Laboratory information management system for COVID-19 non-clinical efficacy trial data
Suhyeon YOON ; Hyuna NOH ; Heejin JIN ; Sungyoung LEE ; Soyul HAN ; Sung-Hee KIM ; Jiseon KIM ; Jung Seon SEO ; Jeong Jin KIM ; In Ho PARK ; Jooyeon OH ; Joon-Yong BAE ; Gee Eun LEE ; Sun-Je WOO ; Sun-Min SEO ; Na-Won KIM ; Youn Woo LEE ; Hui Jeong JANG ; Seung-Min HONG ; Se-Hee AN ; Kwang-Soo LYOO ; Minjoo YEOM ; Hanbyeul LEE ; Bud JUNG ; Sun-Woo YOON ; Jung-Ah KANG ; Sang-Hyuk SEOK ; Yu Jin LEE ; Seo Yeon KIM ; Young Been KIM ; Ji-Yeon HWANG ; Dain ON ; Soo-Yeon LIM ; Sol Pin KIM ; Ji Yun JANG ; Ho LEE ; Kyoungmi KIM ; Hyo-Jung LEE ; Hong Bin KIM ; Jun Won PARK ; Dae Gwin JEONG ; Daesub SONG ; Kang-Seuk CHOI ; Ho-Young LEE ; Yang-Kyu CHOI ; Jung-ah CHOI ; Manki SONG ; Man-Seong PARK ; Jun-Young SEO ; Ki Taek NAM ; Jeon-Soo SHIN ; Sungho WON ; Jun-Won YUN ; Je Kyung SEONG
Laboratory Animal Research 2022;38(2):119-127
Background:
As the number of large-scale studies involving multiple organizations producing data has steadily increased, an integrated system for a common interoperable format is needed. In response to the coronavirus disease 2019 (COVID-19) pandemic, a number of global efforts are underway to develop vaccines and therapeutics. We are therefore observing an explosion in the proliferation of COVID-19 data, and interoperability is highly requested in multiple institutions participating simultaneously in COVID-19 pandemic research.
Results:
In this study, a laboratory information management system (LIMS) approach has been adopted to systemically manage various COVID-19 non-clinical trial data, including mortality, clinical signs, body weight, body temperature, organ weights, viral titer (viral replication and viral RNA), and multiorgan histopathology, from multiple institutions based on a web interface. The main aim of the implemented system is to integrate, standardize, and organize data collected from laboratories in multiple institutes for COVID-19 non-clinical efficacy testings. Six animal biosafety level 3 institutions proved the feasibility of our system. Substantial benefits were shown by maximizing collaborative high-quality non-clinical research.
Conclusions
This LIMS platform can be used for future outbreaks, leading to accelerated medical product development through the systematic management of extensive data from non-clinical animal studies.
4.Immune Cells Are DifferentiallyAffected by SARS-CoV-2 Viral Loads in K18-hACE2 Mice
Jung Ah KIM ; Sung-Hee KIM ; Jeong Jin KIM ; Hyuna NOH ; Su-bin LEE ; Haengdueng JEONG ; Jiseon KIM ; Donghun JEON ; Jung Seon SEO ; Dain ON ; Suhyeon YOON ; Sang Gyu LEE ; Youn Woo LEE ; Hui Jeong JANG ; In Ho PARK ; Jooyeon OH ; Sang-Hyuk SEOK ; Yu Jin LEE ; Seung-Min HONG ; Se-Hee AN ; Joon-Yong BAE ; Jung-ah CHOI ; Seo Yeon KIM ; Young Been KIM ; Ji-Yeon HWANG ; Hyo-Jung LEE ; Hong Bin KIM ; Dae Gwin JEONG ; Daesub SONG ; Manki SONG ; Man-Seong PARK ; Kang-Seuk CHOI ; Jun Won PARK ; Jun-Won YUN ; Jeon-Soo SHIN ; Ho-Young LEE ; Ho-Keun KWON ; Jun-Young SEO ; Ki Taek NAM ; Heon Yung GEE ; Je Kyung SEONG
Immune Network 2024;24(2):e7-
Viral load and the duration of viral shedding of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are important determinants of the transmission of coronavirus disease 2019.In this study, we examined the effects of viral doses on the lung and spleen of K18-hACE2 transgenic mice by temporal histological and transcriptional analyses. Approximately, 1×105 plaque-forming units (PFU) of SARS-CoV-2 induced strong host responses in the lungs from 2 days post inoculation (dpi) which did not recover until the mice died, whereas responses to the virus were obvious at 5 days, recovering to the basal state by 14 dpi at 1×102 PFU. Further, flow cytometry showed that number of CD8+ T cells continuously increased in 1×102 PFU-virusinfected lungs from 2 dpi, but not in 1×105 PFU-virus-infected lungs. In spleens, responses to the virus were prominent from 2 dpi, and number of B cells was significantly decreased at 1×105PFU; however, 1×102 PFU of virus induced very weak responses from 2 dpi which recovered by 10 dpi. Although the defense responses returned to normal and the mice survived, lung histology showed evidence of fibrosis, suggesting sequelae of SARS-CoV-2 infection. Our findings indicate that specific effectors of the immune response in the lung and spleen were either increased or depleted in response to doses of SARS-CoV-2. This study demonstrated that the response of local and systemic immune effectors to a viral infection varies with viral dose, which either exacerbates the severity of the infection or accelerates its elimination.