1.Literature review of non-pharmacological treatment for patients with axial spondyloarthritis
Jina YEO ; Mi Ryoung SEO ; Jun Won PARK ; Yeon-Ah LEE ; Ju Ho LEE ; Eun Ha KANG ; Seon Mi JI ; Han Joo BAEK
The Korean Journal of Internal Medicine 2025;40(1):40-48
Axial spondyloarthritis (axSpA) is a chronic inflammatory disorder affecting the sacroiliac joints and axial spine. Along with pharmacotherapy, non-pharmacological interventions for axSpA are crucial and constitute the cornerstone of treatment. Here, we review the evidence for non-pharmacological treatment of axSpA as a basis for the 2023 Korean treatment recommendations for patients with axSpA. The effectiveness of the core non-pharmacological approaches, such as education, smoking cessation, and exercise, has been reaffirmed. High-quality research on surgical treatment is limited. However, total hip replacement is advised in patients with ongoing pain or disability and visible structural damage to the hip on imaging. Urgent spinal intervention should be considered in cases of acute spinal pain with neurological deficiency or concurrent unstable fractures. Evidence for complementary therapies, including spas and acupuncture, remains insufficient.
2.Literature review of non-pharmacological treatment for patients with axial spondyloarthritis
Jina YEO ; Mi Ryoung SEO ; Jun Won PARK ; Yeon-Ah LEE ; Ju Ho LEE ; Eun Ha KANG ; Seon Mi JI ; Han Joo BAEK
The Korean Journal of Internal Medicine 2025;40(1):40-48
Axial spondyloarthritis (axSpA) is a chronic inflammatory disorder affecting the sacroiliac joints and axial spine. Along with pharmacotherapy, non-pharmacological interventions for axSpA are crucial and constitute the cornerstone of treatment. Here, we review the evidence for non-pharmacological treatment of axSpA as a basis for the 2023 Korean treatment recommendations for patients with axSpA. The effectiveness of the core non-pharmacological approaches, such as education, smoking cessation, and exercise, has been reaffirmed. High-quality research on surgical treatment is limited. However, total hip replacement is advised in patients with ongoing pain or disability and visible structural damage to the hip on imaging. Urgent spinal intervention should be considered in cases of acute spinal pain with neurological deficiency or concurrent unstable fractures. Evidence for complementary therapies, including spas and acupuncture, remains insufficient.
3.Literature review of non-pharmacological treatment for patients with axial spondyloarthritis
Jina YEO ; Mi Ryoung SEO ; Jun Won PARK ; Yeon-Ah LEE ; Ju Ho LEE ; Eun Ha KANG ; Seon Mi JI ; Han Joo BAEK
The Korean Journal of Internal Medicine 2025;40(1):40-48
Axial spondyloarthritis (axSpA) is a chronic inflammatory disorder affecting the sacroiliac joints and axial spine. Along with pharmacotherapy, non-pharmacological interventions for axSpA are crucial and constitute the cornerstone of treatment. Here, we review the evidence for non-pharmacological treatment of axSpA as a basis for the 2023 Korean treatment recommendations for patients with axSpA. The effectiveness of the core non-pharmacological approaches, such as education, smoking cessation, and exercise, has been reaffirmed. High-quality research on surgical treatment is limited. However, total hip replacement is advised in patients with ongoing pain or disability and visible structural damage to the hip on imaging. Urgent spinal intervention should be considered in cases of acute spinal pain with neurological deficiency or concurrent unstable fractures. Evidence for complementary therapies, including spas and acupuncture, remains insufficient.
4.Literature review of non-pharmacological treatment for patients with axial spondyloarthritis
Jina YEO ; Mi Ryoung SEO ; Jun Won PARK ; Yeon-Ah LEE ; Ju Ho LEE ; Eun Ha KANG ; Seon Mi JI ; Han Joo BAEK
The Korean Journal of Internal Medicine 2025;40(1):40-48
Axial spondyloarthritis (axSpA) is a chronic inflammatory disorder affecting the sacroiliac joints and axial spine. Along with pharmacotherapy, non-pharmacological interventions for axSpA are crucial and constitute the cornerstone of treatment. Here, we review the evidence for non-pharmacological treatment of axSpA as a basis for the 2023 Korean treatment recommendations for patients with axSpA. The effectiveness of the core non-pharmacological approaches, such as education, smoking cessation, and exercise, has been reaffirmed. High-quality research on surgical treatment is limited. However, total hip replacement is advised in patients with ongoing pain or disability and visible structural damage to the hip on imaging. Urgent spinal intervention should be considered in cases of acute spinal pain with neurological deficiency or concurrent unstable fractures. Evidence for complementary therapies, including spas and acupuncture, remains insufficient.
5.Literature review of non-pharmacological treatment for patients with axial spondyloarthritis
Jina YEO ; Mi Ryoung SEO ; Jun Won PARK ; Yeon-Ah LEE ; Ju Ho LEE ; Eun Ha KANG ; Seon Mi JI ; Han Joo BAEK
The Korean Journal of Internal Medicine 2025;40(1):40-48
Axial spondyloarthritis (axSpA) is a chronic inflammatory disorder affecting the sacroiliac joints and axial spine. Along with pharmacotherapy, non-pharmacological interventions for axSpA are crucial and constitute the cornerstone of treatment. Here, we review the evidence for non-pharmacological treatment of axSpA as a basis for the 2023 Korean treatment recommendations for patients with axSpA. The effectiveness of the core non-pharmacological approaches, such as education, smoking cessation, and exercise, has been reaffirmed. High-quality research on surgical treatment is limited. However, total hip replacement is advised in patients with ongoing pain or disability and visible structural damage to the hip on imaging. Urgent spinal intervention should be considered in cases of acute spinal pain with neurological deficiency or concurrent unstable fractures. Evidence for complementary therapies, including spas and acupuncture, remains insufficient.
6.p27 Cell Cycle Inhibitor and Survival in Luminal-Type Breast Cancer:Gene Ontology, Machine Learning, and Drug Screening Analysis
In Ah PARK ; Yung-Kyun NOH ; Kyueng-Whan MIN ; Dong-Hoon KIM ; Jeong-Yeon LEE ; Byoung Kwan SON ; Mi Jung KWON ; Myung-Hoon HAN ; Joon Young HUR ; Jung Soo PYO
Journal of Breast Cancer 2024;27(5):305-322
Purpose:
A widely distributed cell cycle inhibitor, p27, regulates cyclin-dependent kinase-cyclin complexes. Although the prognostic value of p27 has been established for various types of carcinomas, its role in luminal breast cancer remains poorly understood. This study aimed to explore the functional enrichment of p27 and identify potential drug targets in patients with luminal-type breast cancer.
Methods:
Clinicopathological data were collected from 868 patients with luminal-type breast cancer. Additionally, publicly available data from the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) dataset (1,500 patients) and the Gene Expression Omnibus database (855 patients) were included in the analysis. Immunohistochemical staining for p27, differential gene expression analysis, disease ontology analysis, survival prediction modeling using machine learning (ML), and in vitro drug screening were also performed.
Results:
Low p27 expression correlated with younger age, advanced tumor stage, estrogen receptor/progesterone receptor negativity, decreased cluster of differentiation 8+ T cell count, and poorer survival outcomes in luminal-type breast cancer. The METABRIC data revealed that reduced cyclin-dependent kinase inhibitor 1B (CDKN1B) expression (encoding p27) was associated with cell proliferation-related pathways and epigenetic polycomb repressive complex 2. Using ML, p27 emerged as the second most significant survival factor after N stage, thereby enhancing survival model performance. Additionally, luminal-type breast cancer cell lines with low CDKN1B expression demonstrated increased sensitivity to specific anticancer drugs such as voxtalisib and serdemetan, implying a potential therapeutic synergy between CDKN1B-targeted approaches and these drugs.
Conclusion
The integration of ML and bioinformatic analyses of p27 has the potential to enhance risk stratification and facilitate personalized treatment strategies for patients with breast cancer.
7.Impact of COVID-19 Infection and Its Association With Previous Vaccination in Patients With Myasthenia Gravis in Korea: A Multicenter Retrospective Study
Hee Jo HAN ; Seung Woo KIM ; Hyunjin KIM ; Jungmin SO ; Eun-Jae LEE ; Young-Min LIM ; Jung Hwan LEE ; Myung Ah LEE ; Byung-Jo KIM ; Seol-Hee BAEK ; Hyung-Soo LEE ; Eunhee SOHN ; Sooyoung KIM ; Jin-Sung PARK ; Minsung KANG ; Hyung Jun PARK ; Byeol-A YOON ; Jong Kuk KIM ; Hung Youl SEOK ; Sohyeon KIM ; Ju-Hong MIN ; Yeon Hak CHUNG ; Jeong Hee CHO ; Jee-Eun KIM ; Seong-il OH ; Ha Young SHIN
Journal of Korean Medical Science 2024;39(18):e150-
Background:
During the coronavirus disease 2019 (COVID-19) pandemic, patients with myasthenia gravis (MG) were more susceptible to poor outcomes owing to respiratory muscle weakness and immunotherapy. Several studies conducted in the early stages of the COVID-19 pandemic reported higher mortality in patients with MG compared to the general population. This study aimed to investigate the clinical course and prognosis of COVID-19 in patients with MG and to compare these parameters between vaccinated and unvaccinated patients in South Korea.
Methods:
This multicenter, retrospective study, which was conducted at 14 tertiary hospitals in South Korea, reviewed the medical records and identified MG patients who contracted COVID-19 between February 2022 and April 2022. The demographic and clinical characteristics associated with MG and vaccination status were collected. The clinical outcomes of COVID-19 infection and MG were investigated and compared between the vaccinated and unvaccinated patients.
Results:
Ninety-two patients with MG contracted COVID-19 during the study. Nine (9.8%) patients required hospitalization, 4 (4.3%) of whom were admitted to the intensive care unit. Seventy-five of 92 patients were vaccinated before contracting COVID-19 infection, and 17 were not. During the COVID-19 infection, 6 of 17 (35.3%) unvaccinated patients were hospitalized, whereas 3 of 75 (4.0%) vaccinated patients were hospitalized (P < 0.001). The frequencies of ICU admission and mechanical ventilation were significantly lower in the vaccinated patients than in the unvaccinated patients (P = 0.019 and P = 0.032, respectively). The rate of MG deterioration was significantly lower in the vaccinated patients than in the unvaccinated patients (P = 0.041). Logistic regression after weighting revealed that the risk of hospitalization and MG deterioration after COVID-19 infection was significantly lower in the vaccinated patients than in the unvaccinated patients.
Conclusion
This study suggests that the clinical course and prognosis of patients with MG who contracted COVID-19 during the dominance of the omicron variant of COVID-19 may be milder than those at the early phase of the COVID-19 pandemic when vaccination was unavailable. Vaccination may reduce the morbidity of COVID-19 in patients with MG and effectively prevent MG deterioration induced by COVID-19 infection.
8.p27 Cell Cycle Inhibitor and Survival in Luminal-Type Breast Cancer:Gene Ontology, Machine Learning, and Drug Screening Analysis
In Ah PARK ; Yung-Kyun NOH ; Kyueng-Whan MIN ; Dong-Hoon KIM ; Jeong-Yeon LEE ; Byoung Kwan SON ; Mi Jung KWON ; Myung-Hoon HAN ; Joon Young HUR ; Jung Soo PYO
Journal of Breast Cancer 2024;27(5):305-322
Purpose:
A widely distributed cell cycle inhibitor, p27, regulates cyclin-dependent kinase-cyclin complexes. Although the prognostic value of p27 has been established for various types of carcinomas, its role in luminal breast cancer remains poorly understood. This study aimed to explore the functional enrichment of p27 and identify potential drug targets in patients with luminal-type breast cancer.
Methods:
Clinicopathological data were collected from 868 patients with luminal-type breast cancer. Additionally, publicly available data from the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) dataset (1,500 patients) and the Gene Expression Omnibus database (855 patients) were included in the analysis. Immunohistochemical staining for p27, differential gene expression analysis, disease ontology analysis, survival prediction modeling using machine learning (ML), and in vitro drug screening were also performed.
Results:
Low p27 expression correlated with younger age, advanced tumor stage, estrogen receptor/progesterone receptor negativity, decreased cluster of differentiation 8+ T cell count, and poorer survival outcomes in luminal-type breast cancer. The METABRIC data revealed that reduced cyclin-dependent kinase inhibitor 1B (CDKN1B) expression (encoding p27) was associated with cell proliferation-related pathways and epigenetic polycomb repressive complex 2. Using ML, p27 emerged as the second most significant survival factor after N stage, thereby enhancing survival model performance. Additionally, luminal-type breast cancer cell lines with low CDKN1B expression demonstrated increased sensitivity to specific anticancer drugs such as voxtalisib and serdemetan, implying a potential therapeutic synergy between CDKN1B-targeted approaches and these drugs.
Conclusion
The integration of ML and bioinformatic analyses of p27 has the potential to enhance risk stratification and facilitate personalized treatment strategies for patients with breast cancer.
9.p27 Cell Cycle Inhibitor and Survival in Luminal-Type Breast Cancer:Gene Ontology, Machine Learning, and Drug Screening Analysis
In Ah PARK ; Yung-Kyun NOH ; Kyueng-Whan MIN ; Dong-Hoon KIM ; Jeong-Yeon LEE ; Byoung Kwan SON ; Mi Jung KWON ; Myung-Hoon HAN ; Joon Young HUR ; Jung Soo PYO
Journal of Breast Cancer 2024;27(5):305-322
Purpose:
A widely distributed cell cycle inhibitor, p27, regulates cyclin-dependent kinase-cyclin complexes. Although the prognostic value of p27 has been established for various types of carcinomas, its role in luminal breast cancer remains poorly understood. This study aimed to explore the functional enrichment of p27 and identify potential drug targets in patients with luminal-type breast cancer.
Methods:
Clinicopathological data were collected from 868 patients with luminal-type breast cancer. Additionally, publicly available data from the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) dataset (1,500 patients) and the Gene Expression Omnibus database (855 patients) were included in the analysis. Immunohistochemical staining for p27, differential gene expression analysis, disease ontology analysis, survival prediction modeling using machine learning (ML), and in vitro drug screening were also performed.
Results:
Low p27 expression correlated with younger age, advanced tumor stage, estrogen receptor/progesterone receptor negativity, decreased cluster of differentiation 8+ T cell count, and poorer survival outcomes in luminal-type breast cancer. The METABRIC data revealed that reduced cyclin-dependent kinase inhibitor 1B (CDKN1B) expression (encoding p27) was associated with cell proliferation-related pathways and epigenetic polycomb repressive complex 2. Using ML, p27 emerged as the second most significant survival factor after N stage, thereby enhancing survival model performance. Additionally, luminal-type breast cancer cell lines with low CDKN1B expression demonstrated increased sensitivity to specific anticancer drugs such as voxtalisib and serdemetan, implying a potential therapeutic synergy between CDKN1B-targeted approaches and these drugs.
Conclusion
The integration of ML and bioinformatic analyses of p27 has the potential to enhance risk stratification and facilitate personalized treatment strategies for patients with breast cancer.
10.KASL clinical practice guidelines for noninvasive tests to assess liver fibrosis in chronic liver disease
Mi Na KIM ; Ji Won HAN ; Jihyun AN ; Beom Kyung KIM ; Young-Joo JIN ; Seung-seob KIM ; Minjong LEE ; Han Ah LEE ; Yuri CHO ; Hee Yeon KIM ; Yu Rim SHIN ; Jung Hwan YU ; Moon Young KIM ; YoungRok CHOI ; Young Eun CHON ; Eun Ju CHO ; Eun Joo LEE ; Sang Gyune KIM ; Won KIM ; Dae Won JUN ; Seung Up KIM ;
Clinical and Molecular Hepatology 2024;30(suppl):s5-s105

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