1.Synergistic effects of L-arginine and argininosuccinate synthetase 1 in inducing apoptosis in hepatocellular carcinoma
Jin Sun KIM ; Won-Mook CHOI ; Ha-Il KIM ; Sung Won CHUNG ; Jonggi CHOI ; Danbi LEE ; Kang Mo KIM
Journal of Liver Cancer 2025;25(1):79-90
Background:
s/Aims: Hepatocellular carcinoma (HCC) is a malignant cancer with an increasing incidence worldwide. Although numerous efforts have been made to identify effective therapies for HCC, current strategies have limitations. We present a new approach for targeting L-arginine and argininosuccinate synthetase 1 (ASS1).
Methods:
ASS1 expression in HCC cell lines and primary hepatocytes was detected using polymerase chain reaction and western blotting. Proliferation, migration, signaling pathways, and nitric oxide production in HCC cell lines were measured using MTS, colony formation, wound healing, Western blot, and Griess assays.
Results:
ASS1 expression varied among the HCC cell lines, and cisplatin cytotoxicity was ASS1-dependent. L-arginine alone induced apoptosis in HCC cell lines, regardless of ASS1 expression; however, its effect was enhanced in ASS1-expressing HCC cell lines. Cisplatin cytotoxicity also increased, suggesting that L-arginine acts as a sensitizer to cisplatin in HCC cell lines. ASS1 and L-arginine produced nitric oxide and inhibited key proliferation- and survival-related signaling pathways such as PI3K/Akt and MAPK. Additionally, ASS1 and L-arginine reduced the expression of PKM1 and PKM2 in the glycolysis pathway.
Conclusions
Our study revealed that ASS1 and L-arginine exhibited anticancer effects in HCC and sensitized cisplatin-resistant HCC cells to chemotherapy. The combination of ASS1 and L-arginine significantly enhanced the anticancer effects, even in HCC cell lines with low or absent ASS1 expression. These findings highlight the critical roles of arginine and ASS1 in HCC and suggest that increasing arginine availability could be a promising therapeutic strategy.
2.Synergistic effects of L-arginine and argininosuccinate synthetase 1 in inducing apoptosis in hepatocellular carcinoma
Jin Sun KIM ; Won-Mook CHOI ; Ha-Il KIM ; Sung Won CHUNG ; Jonggi CHOI ; Danbi LEE ; Kang Mo KIM
Journal of Liver Cancer 2025;25(1):79-90
Background:
s/Aims: Hepatocellular carcinoma (HCC) is a malignant cancer with an increasing incidence worldwide. Although numerous efforts have been made to identify effective therapies for HCC, current strategies have limitations. We present a new approach for targeting L-arginine and argininosuccinate synthetase 1 (ASS1).
Methods:
ASS1 expression in HCC cell lines and primary hepatocytes was detected using polymerase chain reaction and western blotting. Proliferation, migration, signaling pathways, and nitric oxide production in HCC cell lines were measured using MTS, colony formation, wound healing, Western blot, and Griess assays.
Results:
ASS1 expression varied among the HCC cell lines, and cisplatin cytotoxicity was ASS1-dependent. L-arginine alone induced apoptosis in HCC cell lines, regardless of ASS1 expression; however, its effect was enhanced in ASS1-expressing HCC cell lines. Cisplatin cytotoxicity also increased, suggesting that L-arginine acts as a sensitizer to cisplatin in HCC cell lines. ASS1 and L-arginine produced nitric oxide and inhibited key proliferation- and survival-related signaling pathways such as PI3K/Akt and MAPK. Additionally, ASS1 and L-arginine reduced the expression of PKM1 and PKM2 in the glycolysis pathway.
Conclusions
Our study revealed that ASS1 and L-arginine exhibited anticancer effects in HCC and sensitized cisplatin-resistant HCC cells to chemotherapy. The combination of ASS1 and L-arginine significantly enhanced the anticancer effects, even in HCC cell lines with low or absent ASS1 expression. These findings highlight the critical roles of arginine and ASS1 in HCC and suggest that increasing arginine availability could be a promising therapeutic strategy.
3.Synergistic effects of L-arginine and argininosuccinate synthetase 1 in inducing apoptosis in hepatocellular carcinoma
Jin Sun KIM ; Won-Mook CHOI ; Ha-Il KIM ; Sung Won CHUNG ; Jonggi CHOI ; Danbi LEE ; Kang Mo KIM
Journal of Liver Cancer 2025;25(1):79-90
Background:
s/Aims: Hepatocellular carcinoma (HCC) is a malignant cancer with an increasing incidence worldwide. Although numerous efforts have been made to identify effective therapies for HCC, current strategies have limitations. We present a new approach for targeting L-arginine and argininosuccinate synthetase 1 (ASS1).
Methods:
ASS1 expression in HCC cell lines and primary hepatocytes was detected using polymerase chain reaction and western blotting. Proliferation, migration, signaling pathways, and nitric oxide production in HCC cell lines were measured using MTS, colony formation, wound healing, Western blot, and Griess assays.
Results:
ASS1 expression varied among the HCC cell lines, and cisplatin cytotoxicity was ASS1-dependent. L-arginine alone induced apoptosis in HCC cell lines, regardless of ASS1 expression; however, its effect was enhanced in ASS1-expressing HCC cell lines. Cisplatin cytotoxicity also increased, suggesting that L-arginine acts as a sensitizer to cisplatin in HCC cell lines. ASS1 and L-arginine produced nitric oxide and inhibited key proliferation- and survival-related signaling pathways such as PI3K/Akt and MAPK. Additionally, ASS1 and L-arginine reduced the expression of PKM1 and PKM2 in the glycolysis pathway.
Conclusions
Our study revealed that ASS1 and L-arginine exhibited anticancer effects in HCC and sensitized cisplatin-resistant HCC cells to chemotherapy. The combination of ASS1 and L-arginine significantly enhanced the anticancer effects, even in HCC cell lines with low or absent ASS1 expression. These findings highlight the critical roles of arginine and ASS1 in HCC and suggest that increasing arginine availability could be a promising therapeutic strategy.
4.Quantitative Spectral Analysis of Waking Electroencephalography in Patients With Moderate to Severe Obstructive Sleep Apnea and Excessive Daytime Sleepiness: A Case–Control Matched Pilot Study
Gi Won NAM ; Jong Jin WOO ; Yooha HONG ; Heejung MO ; Soo-Jin CHO ; Hee-Jin IM
Journal of Sleep Medicine 2024;21(2):80-87
Objectives:
This study aims to examine the differences in spectral analysis of waking electroencephalography (EEG) patterns between patients with moderate to severe obstructive sleep apnea (OSA) experiencing excessive daytime sleepiness (EDS) and matched healthy participants, to gain insights into the neurophysiological underpinnings of daytime impairments.
Methods:
A cross-sectional analysis was conducted involving 17 patients with moderate to severe OSA confirmed by overnight polysomnography (PSG). These patients had ≥15 per hour apnea–hypopnea index (AHI) and ≥11 Epworth Sleepiness Scale (ESS). EEG recordings were captured within 30 minutes of awakening. A corresponding group of the equal number of age and sex-matched healthy participants was also analyzed for comparative purposes. Spectral analysis of quantitative EEG (qEEG) of patients with OSA compared with that of an equal number of age- and sex-matched healthy participants.
Results:
The analysis included 17 patients (16 males, average age 57.2 years) with moderate to severe OSA experiencing EDS (mean AHI 38.1±20.5; ESS 14.4±3.2). The patients with OSA exhibited altered sleep architecture during diagnostic PSG, significantly higher EEG delta band power in the frontal regions upon awakening after night sleep, and decreased connection of delta band in frontal area than normal participants (3.78±5.53 vs. 3.22±0.98 μV2, p=0.03).
Conclusions
The study demonstrated difference in delta activity and connectivity in the frontal area between patients with OSA experiencing EDS and the control group. These findings suggest awakening qEEG in OSA may helpful to guide or enhance understanding of daytime functional impairment and EDS.
5.Occupation classification model based on DistilKoBERT: using the 5th and 6th Korean Working Condition Surveys
Tae-Yeon KIM ; Seong-Uk BAEK ; Myeong-Hun LIM ; Byungyoon YUN ; Domyung PAEK ; Kyung Ehi ZOH ; Kanwoo YOUN ; Yun Keun LEE ; Yangho KIM ; Jungwon KIM ; Eunsuk CHOI ; Mo-Yeol KANG ; YoonHo CHO ; Kyung-Eun LEE ; Juho SIM ; Juyeon OH ; Heejoo PARK ; Jian LEE ; Jong-Uk WON ; Yu-Min LEE ; Jin-Ha YOON
Annals of Occupational and Environmental Medicine 2024;36(1):e19-
Accurate occupation classification is essential in various fields, including policy development and epidemiological studies. This study aims to develop an occupation classification model based on DistilKoBERT. This study used data from the 5th and 6th Korean Working Conditions Surveys conducted in 2017 and 2020, respectively. A total of 99,665 survey participants, who were nationally representative of Korean workers, were included. We used natural language responses regarding their job responsibilities and occupational codes based on the Korean Standard Classification of Occupations (7th version, 3-digit codes). The dataset was randomly split into training and test datasets in a ratio of 7:3. The occupation classification model based on DistilKoBERT was fine-tuned using the training dataset, and the model was evaluated using the test dataset. The accuracy, precision, recall, and F1 score were calculated as evaluation metrics. The final model, which classified 28,996 survey participants in the test dataset into 142 occupational codes, exhibited an accuracy of 84.44%. For the evaluation metrics, the precision, recall, and F1 score of the model, calculated by weighting based on the sample size, were 0.83, 0.84, and 0.83, respectively. The model demonstrated high precision in the classification of service and sales workers yet exhibited low precision in the classification of managers. In addition, it displayed high precision in classifying occupations prominently represented in the training dataset. This study developed an occupation classification system based on DistilKoBERT, which demonstrated reasonable performance. Despite further efforts to enhance the classification accuracy, this automated occupation classification model holds promise for advancing epidemiological studies in the fields of occupational safety and health.
6.Confusing Transient Epileptic Amnesia versus Transient Global Amnesia: Unraveling the Diagnostic and Therapeutic Challenges
Han-Beet KIM ; Ki-Won NAM ; Jong-Jin WOO ; Hee-Jung MO ; Yooha HONG ; Soo-Jin CHO ; Hee-Jin IM
Journal of the Korean Neurological Association 2024;42(4):406-410
Transient global amnesia (TGA) and transient epileptic amnesia (TEA) are inherently challenging to diagnose and share many similarities, which can easily lead to confusion. In this report, we present a case of a 57-year-old female patient experienced recurrent transient amnesia with incidentally found chronic ischemic temporo-parietal lesion including hippocampus and also revealed frequent interictal epileptiform discharges in acute period which can be features of TEA. We aim to explore the differences between TEA and TGA through this confusing case and when further evaluation may be necessary.
7.Imaging and Clinical Findings of Xanthogranulomatous Inflammatory Disease of Various Abdominal and Pelvic Organs: A Pictorial Essay
Se Jin LEE ; Dal Mo YANG ; Hyun Cheol KIM ; Sang Won KIM ; Kyu Yeoun WON ; So Hyun PARK ; Woo Kyoung JEONG
Journal of the Korean Society of Radiology 2024;85(1):109-123
Xanthogranulomatous (XG) inflammatory disease is a rare benign disease involving various organs, including the gallbladder, bile duct, pancreas, spleen, stomach, small bowel, colon, appendix, kidney, adrenal gland, urachus, urinary bladder, retroperitoneum, and female genital organs. The imaging features of XG inflammatory disease are nonspecific, usually presenting as a heterogeneous solid or cystic mass. The disease may also extend to adjacent structures. Due to its aggressive nature, it is occasionally misdiagnosed as a malignant neoplasm. Herein, we review the radiological features and clinical manifestations of XG inflammatory diseases in various organs of the abdomen and pelvis.
8.Occupation classification model based on DistilKoBERT: using the 5th and 6th Korean Working Condition Surveys
Tae-Yeon KIM ; Seong-Uk BAEK ; Myeong-Hun LIM ; Byungyoon YUN ; Domyung PAEK ; Kyung Ehi ZOH ; Kanwoo YOUN ; Yun Keun LEE ; Yangho KIM ; Jungwon KIM ; Eunsuk CHOI ; Mo-Yeol KANG ; YoonHo CHO ; Kyung-Eun LEE ; Juho SIM ; Juyeon OH ; Heejoo PARK ; Jian LEE ; Jong-Uk WON ; Yu-Min LEE ; Jin-Ha YOON
Annals of Occupational and Environmental Medicine 2024;36(1):e19-
Accurate occupation classification is essential in various fields, including policy development and epidemiological studies. This study aims to develop an occupation classification model based on DistilKoBERT. This study used data from the 5th and 6th Korean Working Conditions Surveys conducted in 2017 and 2020, respectively. A total of 99,665 survey participants, who were nationally representative of Korean workers, were included. We used natural language responses regarding their job responsibilities and occupational codes based on the Korean Standard Classification of Occupations (7th version, 3-digit codes). The dataset was randomly split into training and test datasets in a ratio of 7:3. The occupation classification model based on DistilKoBERT was fine-tuned using the training dataset, and the model was evaluated using the test dataset. The accuracy, precision, recall, and F1 score were calculated as evaluation metrics. The final model, which classified 28,996 survey participants in the test dataset into 142 occupational codes, exhibited an accuracy of 84.44%. For the evaluation metrics, the precision, recall, and F1 score of the model, calculated by weighting based on the sample size, were 0.83, 0.84, and 0.83, respectively. The model demonstrated high precision in the classification of service and sales workers yet exhibited low precision in the classification of managers. In addition, it displayed high precision in classifying occupations prominently represented in the training dataset. This study developed an occupation classification system based on DistilKoBERT, which demonstrated reasonable performance. Despite further efforts to enhance the classification accuracy, this automated occupation classification model holds promise for advancing epidemiological studies in the fields of occupational safety and health.
9.Quantitative Spectral Analysis of Waking Electroencephalography in Patients With Moderate to Severe Obstructive Sleep Apnea and Excessive Daytime Sleepiness: A Case–Control Matched Pilot Study
Gi Won NAM ; Jong Jin WOO ; Yooha HONG ; Heejung MO ; Soo-Jin CHO ; Hee-Jin IM
Journal of Sleep Medicine 2024;21(2):80-87
Objectives:
This study aims to examine the differences in spectral analysis of waking electroencephalography (EEG) patterns between patients with moderate to severe obstructive sleep apnea (OSA) experiencing excessive daytime sleepiness (EDS) and matched healthy participants, to gain insights into the neurophysiological underpinnings of daytime impairments.
Methods:
A cross-sectional analysis was conducted involving 17 patients with moderate to severe OSA confirmed by overnight polysomnography (PSG). These patients had ≥15 per hour apnea–hypopnea index (AHI) and ≥11 Epworth Sleepiness Scale (ESS). EEG recordings were captured within 30 minutes of awakening. A corresponding group of the equal number of age and sex-matched healthy participants was also analyzed for comparative purposes. Spectral analysis of quantitative EEG (qEEG) of patients with OSA compared with that of an equal number of age- and sex-matched healthy participants.
Results:
The analysis included 17 patients (16 males, average age 57.2 years) with moderate to severe OSA experiencing EDS (mean AHI 38.1±20.5; ESS 14.4±3.2). The patients with OSA exhibited altered sleep architecture during diagnostic PSG, significantly higher EEG delta band power in the frontal regions upon awakening after night sleep, and decreased connection of delta band in frontal area than normal participants (3.78±5.53 vs. 3.22±0.98 μV2, p=0.03).
Conclusions
The study demonstrated difference in delta activity and connectivity in the frontal area between patients with OSA experiencing EDS and the control group. These findings suggest awakening qEEG in OSA may helpful to guide or enhance understanding of daytime functional impairment and EDS.
10.Confusing Transient Epileptic Amnesia versus Transient Global Amnesia: Unraveling the Diagnostic and Therapeutic Challenges
Han-Beet KIM ; Ki-Won NAM ; Jong-Jin WOO ; Hee-Jung MO ; Yooha HONG ; Soo-Jin CHO ; Hee-Jin IM
Journal of the Korean Neurological Association 2024;42(4):406-410
Transient global amnesia (TGA) and transient epileptic amnesia (TEA) are inherently challenging to diagnose and share many similarities, which can easily lead to confusion. In this report, we present a case of a 57-year-old female patient experienced recurrent transient amnesia with incidentally found chronic ischemic temporo-parietal lesion including hippocampus and also revealed frequent interictal epileptiform discharges in acute period which can be features of TEA. We aim to explore the differences between TEA and TGA through this confusing case and when further evaluation may be necessary.

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