1.Carpal Tunnel Syndrome Caused by Idiopathic Tumoral Calcinosis: A Case Report
Joong Hyuk KIM ; Hyeon Gyu LIM ; Jae Hyoung KIM ; Shin Woo NAM ; Il-Tae JANG ; Eui-Jin CHO
The Nerve 2025;11(1):15-20
Carpal tunnel syndrome (CTS) is a common form of hand mononeuropathy that is typi-cally caused by median nerve compression. Although it is often idiopathic, CTS can also result from various conditions, including space-occupying lesions. Tumoral calcinosis, a rare condition characterized by periarticular deposition of calcified masses, is an un-common cause of secondary CTS. We present a case of a 78-year-old woman with idio-pathic tumoral calcinosis that caused secondary CTS. Despite conservative treatments, her symptoms persisted, and diagnostic imaging, including radiographs, computed to-mography, and magnetic resonance imaging, revealed a calcified mass in the carpal tun-nel. A surgical intervention involving carpal tunnel release and excisional biopsy con-firmed the diagnosis of tumoral calcinosis. Postoperatively, the patient showed complete resolution of symptoms, with no recurrence on follow-up radiographs. This case high-lights the importance of considering space-occupying lesions, such as tumoral calcinosis, as a rare but treatable cause of secondary CTS.
2.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.
3.Efficacy and Safety of Fexuprazan in Patients with Acute or Chronic Gastritis
Gwang Ha KIM ; Myung-Gyu CHOI ; Jin Il KIM ; Soo Teik LEE ; Hoon Jai CHUN ; Kook Lae LEE ; Suk Chei CHOI ; Jae-Young JANG ; Yong Chan LEE ; Jae Gyu KIM ; Ki Bae KIM ; Ki-Nam SHIM ; Chong Il SOHN ; Sung Kook KIM ; Sang Gyun KIM ; Jin Seok JANG ; Nayoung KIM ; Hwoon-Yong JUNG ; Hyojin PARK ; Kyu Chan HUH ; Kwang Jae LEE ; Su Jin HONG ; Song BAEK ; Jin Joo HAN ; Oh Young LEE
Gut and Liver 2023;17(6):884-893
Background/Aims:
Fexuprazan is a novel potassium-competitive acid blocker that could be of benefit to patients with gastric mucosal injury. The aim of this study was to assess the 2-week efficacy and safety of fexuprazan in patients with acute or chronic gastritis.
Methods:
In this study, 327 patients with acute or chronic gastritis who had one or more gastric erosions on endoscopy and subjective symptoms were randomized into three groups receiving fexuprazan 20 mg once a day (q.d.), fexuprazan 10 mg twice a day (b.i.d.), or placebo for 2 weeks. The posttreatment assessments were the primary endpoint (erosion improvement rate), secondary endpoints (cure rates of erosion and edema and improvement rates of redness, hemorrhage, and subjective symptoms), and drug-related adverse events.
Results:
Among the patients, 57.8% (59/102), 65.7% (67/102), and 40.6% (39/96) showed erosion improvement 2 weeks after receiving fexuprazan 20 mg q.d., fexuprazan 10 mg b.i.d., and placebo, respectively. Both fexuprazan 20 mg q.d. and 10 mg b.i.d. showed superior efficacy to the placebo (p=0.017 and p<0.001, respectively). Likewise, both fexuprazan 20 mg q.d. and 10 mg b.i.d. also showed higher erosion healing rates than the placebo (p=0.033 and p=0.010, respectively). No difference was noted in the edema healing rate and the improvement rates for redness, hemorrhage, and subjective symptoms between the fexuprazan and placebo groups.No significant difference was noted in the incidence of adverse drug reactions.
Conclusions
Fexuprazan 20 mg q.d. and 10 mg b.i.d. for 2 weeks showed therapeutic efficacy superior to that of placebo in patients with acute or chronic gastritis (ClinicalTrials.gov identifier NCT04341454).
4.Safety and pharmacokinetic comparison between fenofibric acid 135 mg capsule and 110 mg entericcoated tablet in healthy volunteers
Yu-Bin SEO ; Jae Hoon KIM ; Ji Hye SONG ; WonTae JUNG ; Kyu-Yeol NAM ; Nyung KIM ; Youn-Woong CHOI ; SangMin CHO ; Do-Hyung KI ; Hye Jung LEE ; JungHa MOON ; SeungSeob LEE ; JaeHee KIM ; Jang Hee HONG ; Sunwoo JUNG ; Jin-Gyu JUNG
Translational and Clinical Pharmacology 2023;31(2):95-104
This study aimed to compare the pharmacokinetic (PK) and safety profiles of 2 fenofibric acid formulations under fasting and fed conditions. The reference was a 135 mg capsule, while the test was a 110 mg enteric-coated tablet. This randomized, open-label, two-sequence, two-period crossover phase 1 clinical trial was conducted in healthy Korean men. Sixty participants were enrolled in each of the fasting and feeding groups. Blood samples were collected 72 hours after drug administration. PK parameters were calculated using a noncompartmental method with Phoenix WinNonlin ® . A total of 53 and 51 participants from the fasting and feeding groups, respectively, completed the study. The geometric mean ratio and 90% confidence intervals of the maximum concentration (C max ) and area under the concentration-time curve to the last measurable plasma concentration were 0.9195 (0.8795–0.9614) and 0.8630 (0.8472–0.8791) in the fasting study and 1.0926 (1.0102–1.1818) and 0.9998 (0.9675–1.0332) in the fed study, respectively. The time to reach C max of the enteric-coated tablet compared to that of the capsule was extended by 1 and 3 hours under fasting and fed conditions, respectively. In conclusion, enteric-coated tablets have a higher bioavailability than capsules. In addition, the enteric-coated tablet was smaller than the capsule, making it easier for patients to swallow.
5.Automated Composition Analysis of Thrombus from Endovascular Treatment in Acute Ischemic Stroke Using Computer Vision
JoonNyung HEO ; Young SEOG ; Hyungwoo LEE ; Il Hyung LEE ; Sungeun KIM ; Jang-Hyun BAEK ; Hyungjong PARK ; Kwon-Duk SEO ; Gyu Sik KIM ; Han-Jin CHO ; Minyoul BAIK ; Joonsang YOO ; Jinkwon KIM ; Jun LEE ; Yoon-Kyung CHANG ; Tae-Jin SONG ; Jung Hwa SEO ; Seong Hwan AHN ; Heow Won LEE ; Il KWON ; Eunjeong PARK ; Young Dae KIM ; Hyo Suk NAM
Journal of Stroke 2022;24(3):433-435
6.Care Process of Recanalization Therapy for Acute Stroke during the COVID-19 Outbreak in South Korea
Young Dae KIM ; Hyo Suk NAM ; Sung-Il SOHN ; Hyungjong PARK ; Jeong-Ho HONG ; Gyu Sik KIM ; Kwon-Duk SEO ; Joonsang YOO ; Jang-Hyun BAEK ; Jung Hwa SEO ; JoonNyung HEO ; Minyoul BAIK ; Hye Sun LEE ; Ji Hoe HEO ;
Journal of Clinical Neurology 2021;17(1):63-69
Background:
and Purpose We aimed to determine whether the care process and outcomes in patients with acute stroke who received recanalization therapy changed during the outbreak of coronavirus disease 2019 (COVID-19) in South Korea.
Methods:
We used data from a prospective multicenter reperfusion therapy registry to compare the care process including the time from symptom onset to treatment, number of treated patients, and discharge disposition and treatment outcomes between before and during the COVID-19 outbreak in South Korea.
Results:
Upon the COVID-19 outbreak in South Korea, the number of patients receiving endovascular treatment to decrease temporarily but considerably. The use of emergency medical services by stroke patients increased from 91.5% before to 100.0% during the COVID-19 outbreak (p=0.025), as did the median time from symptom onset to hospital visit [median (interquartile range), 91.0 minutes (39.8–277.0) vs. 176.0 minutes (56.0–391.5), p=0.029]. Furthermore, more functionally dependent patients with disabilities were discharged home (59.5% vs. 26.1%, p=0.020) rather than staying in a regional or rehabilitation hospital. In contrast, there were no COVID-19-related changes in the times from the hospital visit to brain imaging and treatment or in the functional outcome, successful recanalization rate, or rate of symptomatic intracerebral hemorrhage.
Conclusions
These findings suggest that a prehospital delay occurred during the COVID-19 outbreak, and that patients with acute stroke might have been reluctant to visit and stay in hospitals. Our findings indicate that attention should be paid to prehospital care and the behavior of patients with acute stroke during the COVID-19 outbreak.
7.Prediction of Early Recanalization after Intravenous Thrombolysis in Patients with Large-Vessel Occlusion
Young Dae KIM ; Hyo Suk NAM ; Joonsang YOO ; Hyungjong PARK ; Sung-Il SOHN ; Jeong-Ho HONG ; Byung Moon KIM ; Dong Joon KIM ; Oh Young BANG ; Woo-Keun SEO ; Jong-Won CHUNG ; Kyung-Yul LEE ; Yo Han JUNG ; Hye Sun LEE ; Seong Hwan AHN ; Dong Hoon SHIN ; Hye-Yeon CHOI ; Han-Jin CHO ; Jang-Hyun BAEK ; Gyu Sik KIM ; Kwon-Duk SEO ; Seo Hyun KIM ; Tae-Jin SONG ; Jinkwon KIM ; Sang Won HAN ; Joong Hyun PARK ; Sung Ik LEE ; JoonNyung HEO ; Jin Kyo CHOI ; Ji Hoe HEO ;
Journal of Stroke 2021;23(2):244-252
Background:
and Purpose We aimed to develop a model predicting early recanalization after intravenous tissue plasminogen activator (t-PA) treatment in large-vessel occlusion.
Methods:
Using data from two different multicenter prospective cohorts, we determined the factors associated with early recanalization immediately after t-PA in stroke patients with large-vessel occlusion, and developed and validated a prediction model for early recanalization. Clot volume was semiautomatically measured on thin-section computed tomography using software, and the degree of collaterals was determined using the Tan score. Follow-up angiographic studies were performed immediately after t-PA treatment to assess early recanalization.
Results:
Early recanalization, assessed 61.0±44.7 minutes after t-PA bolus, was achieved in 15.5% (15/97) in the derivation cohort and in 10.5% (8/76) in the validation cohort. Clot volume (odds ratio [OR], 0.979; 95% confidence interval [CI], 0.961 to 0.997; P=0.020) and good collaterals (OR, 6.129; 95% CI, 1.592 to 23.594; P=0.008) were significant factors associated with early recanalization. The area under the curve (AUC) of the model including clot volume was 0.819 (95% CI, 0.720 to 0.917) and 0.842 (95% CI, 0.746 to 0.938) in the derivation and validation cohorts, respectively. The AUC improved when good collaterals were added (derivation cohort: AUC, 0.876; 95% CI, 0.802 to 0.950; P=0.164; validation cohort: AUC, 0.949; 95% CI, 0.886 to 1.000; P=0.036). The integrated discrimination improvement also showed significantly improved prediction (0.097; 95% CI, 0.009 to 0.185; P=0.032).
Conclusions
The model using clot volume and collaterals predicted early recanalization after intravenous t-PA and had a high performance. This model may aid in determining the recanalization treatment strategy in stroke patients with large-vessel occlusion.
8.Prediction of Early Recanalization after Intravenous Thrombolysis in Patients with Large-Vessel Occlusion
Young Dae KIM ; Hyo Suk NAM ; Joonsang YOO ; Hyungjong PARK ; Sung-Il SOHN ; Jeong-Ho HONG ; Byung Moon KIM ; Dong Joon KIM ; Oh Young BANG ; Woo-Keun SEO ; Jong-Won CHUNG ; Kyung-Yul LEE ; Yo Han JUNG ; Hye Sun LEE ; Seong Hwan AHN ; Dong Hoon SHIN ; Hye-Yeon CHOI ; Han-Jin CHO ; Jang-Hyun BAEK ; Gyu Sik KIM ; Kwon-Duk SEO ; Seo Hyun KIM ; Tae-Jin SONG ; Jinkwon KIM ; Sang Won HAN ; Joong Hyun PARK ; Sung Ik LEE ; JoonNyung HEO ; Jin Kyo CHOI ; Ji Hoe HEO ;
Journal of Stroke 2021;23(2):244-252
Background:
and Purpose We aimed to develop a model predicting early recanalization after intravenous tissue plasminogen activator (t-PA) treatment in large-vessel occlusion.
Methods:
Using data from two different multicenter prospective cohorts, we determined the factors associated with early recanalization immediately after t-PA in stroke patients with large-vessel occlusion, and developed and validated a prediction model for early recanalization. Clot volume was semiautomatically measured on thin-section computed tomography using software, and the degree of collaterals was determined using the Tan score. Follow-up angiographic studies were performed immediately after t-PA treatment to assess early recanalization.
Results:
Early recanalization, assessed 61.0±44.7 minutes after t-PA bolus, was achieved in 15.5% (15/97) in the derivation cohort and in 10.5% (8/76) in the validation cohort. Clot volume (odds ratio [OR], 0.979; 95% confidence interval [CI], 0.961 to 0.997; P=0.020) and good collaterals (OR, 6.129; 95% CI, 1.592 to 23.594; P=0.008) were significant factors associated with early recanalization. The area under the curve (AUC) of the model including clot volume was 0.819 (95% CI, 0.720 to 0.917) and 0.842 (95% CI, 0.746 to 0.938) in the derivation and validation cohorts, respectively. The AUC improved when good collaterals were added (derivation cohort: AUC, 0.876; 95% CI, 0.802 to 0.950; P=0.164; validation cohort: AUC, 0.949; 95% CI, 0.886 to 1.000; P=0.036). The integrated discrimination improvement also showed significantly improved prediction (0.097; 95% CI, 0.009 to 0.185; P=0.032).
Conclusions
The model using clot volume and collaterals predicted early recanalization after intravenous t-PA and had a high performance. This model may aid in determining the recanalization treatment strategy in stroke patients with large-vessel occlusion.
9.Comparison of pharmacokinetics and safety characteristics between two olopatadine hydrochloride 5 mg tablet formulations in healthy Korean subjects
Jae Hoon KIM ; Minyu LEE ; Namsick KIM ; Tae-Young OH ; Seung-Kwan NAM ; Yoon Seok CHOI ; In Sun KWON ; Jin Gyu JUNG ; Jang Hee HONG
Translational and Clinical Pharmacology 2021;29(1):65-72
Histamine acts by binding to four histamine receptors (H1 to H4), of which the H1 is known to participate in dilate blood vessels, bronchoconstriction, and pruritus. Olopatadine hydrochloride blocks the release of histamine from mast cells and it inhibits H1 receptor activation. Olopatadine hydrochloride is anti-allergic agent that is effectively used. The object of this study had conducted to compare the pharmacokinetics (PKs) and safety characteristics between olopatadine hydrochloride 5 mg (test formulation) and olopatadine hydrochloride 5 mg (reference formulation; Alerac® ) in Korean subjects. This study had conducted an open-label, randomized, fasting condition, single-dose, 2-treatment, 2-period, 2-way crossover. Subjects received single-dosing of reference formulation or test formulation in each period and blood samples were collected over 24 hours after administration for PK analysis. A wash-out period of 7 days was placed between the doses. Plasma concentration of olopatadine were determined using liquid chromatography-tandem spectrometry mass (LC-MS/MS). A total of 32 subjects were enrolled and 28 subjects completed. There were not clinical significantly different in the safety between two treatment groups for 32 subjects who administered the study drug more than once. The geometric mean ratio of test formulation to reference formulation and its 90% confidence intervals for The peak plasma concentration (Cmax ) and the areas under the plasma concentration–time curve from 0 to the last concentration (AUClast ) were 1.0845 (1.0107–1.1637) and 1.0220 (1.0005–1.0439), respectively. Therefore, the test formulation was bioequivalent in PK characteristics and was equally safe as the reference formulation.
10.Bioinformatics services for analyzing massive genomic datasets
Gunhwan KO ; Pan-Gyu KIM ; Youngbum CHO ; Seongmun JEONG ; Jae-Yoon KIM ; Kyoung Hyoun KIM ; Ho-Yeon LEE ; Jiyeon HAN ; Namhee YU ; Seokjin HAM ; Insoon JANG ; Byunghee KANG ; Sunguk SHIN ; Lian KIM ; Seung-Won LEE ; Dougu NAM ; Jihyun F. KIM ; Namshin KIM ; Seon-Young KIM ; Sanghyuk LEE ; Tae-Young ROH ; Byungwook LEE
Genomics & Informatics 2020;18(1):e8-
The explosive growth of next-generation sequencing data has resulted in ultra-large-scale datasets and ensuing computational problems. In Korea, the amount of genomic data has been increasing rapidly in the recent years. Leveraging these big data requires researchers to use large-scale computational resources and analysis pipelines. A promising solution for addressing this computational challenge is cloud computing, where CPUs, memory, storage, and programs are accessible in the form of virtual machines. Here, we present a cloud computing-based system, Bio-Express, that provides user-friendly, cost-effective analysis of massive genomic datasets. Bio-Express is loaded with predefined multi-omics data analysis pipelines, which are divided into genome, transcriptome, epigenome, and metagenome pipelines. Users can employ predefined pipelines or create a new pipeline for analyzing their own omics data. We also developed several web-based services for facilitating downstream analysis of genome data. Bio-Express web service is freely available at https://www.bioexpress.re.kr/.

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