1.A Foundation for a “Cheerful Society”: The Korean War and the Rise of Psychiatry
Korean Journal of Medical History 2023;32(2):553-591
One of the most remarkable medical achievements of the Korean War was the development of psychiatry. During the Korean War, soldiers and prisoners of war (POWs) experienced “gross stress reaction” and manifested poor concentration and memory as well as clinical depression and social alienation. Rest and relaxation rotations served as the primary treatment for their conditions. Civilians also bore the brunt of the war’s effects. Delusions of grandeur and megalomania appear to have been common among Koreans, but there were few mental health facilities to provide treatment and care. Out of the furnace of war, psychiatry emerged as a newly specialized field, and in the 1950s, Korea became the very place where military psychiatry training under the U.S. military laid the groundwork for civilian psychiatry. This essay aims to enrich the study of mental illness during and after the Korean War by providing a more detailed picture of the mental problems experienced not only by veterans and POWs, but also by civilians in Korea. Examining mental health issues from this period is challenging due to the scarcity of resources for delving into the minds of the civilians involved. Taking military psychiatry as a starting point, this essay goes beyond existing scholarship to discuss psychiatry-related responses to the Korean War, including the influence of military psychiatry on civilian psychiatry, the endeavors of medical professionals and government policies, and contemporary expressions of mental distress during and after the war.
2.Effects of three-dimensional image based insole for healthy volunteers: a pilot clinical trial
Bi O JEONG ; Su Jin JEONG ; Kyungwon PARK ; Bo-Hyung KIM ; Sung-Vin YIM ; Sehyun KIM
Translational and Clinical Pharmacology 2023;31(1):49-58
Insoles are used to treat various foot diseases, including plantar foot, diabetic foot ulcers, and refractory plantar fasciitis. In this study, we investigated the effects of 3-dimensional image-based (3-D) insole in healthy volunteers with no foot diseases. Additionally, the comfort of the 3-D insole was compared with that of a custom-molded insole. A singlecenter, randomized, open clinical trial was conducted to address the effectiveness of insole use in a healthy population with no foot or knee disease. Two types of arch support insoles were evaluated for their effectiveness: a 3-D insole and a custom-molded insole. Fifty Korean volunteers participated in the study and were randomly allocated into the “3-D insole” (n = 40) or “custom-molding insole” (n = 10) groups. All subjects wore 3-D insoles or custommolded insoles for 2 weeks. The sense of wearing shoes (Visual Analog Scale [VAS] and score) and fatigue of the foot were used to assess the insole effects at the end of the 2-week study period. The 3-D insole groups showed significantly improved sense of wearing shoes (VAS, p = 0.0001; score, p = 0.0002) and foot fatigue (p= 0.0005) throughout the study period.Although the number of subjects was different, the custom-molding insole group showed no significant changes in the sense of wearing shoes (VAS, 0.1188; score, p = 0.1483). Foot fatigue in the 3-D insole group improved significantly (p = 0.0005), which shows that a 3-D insole might have favorable effects on foot health in a healthy population.
3.Changes in Human Gene Expression After Sleep Deprivation
Je Young SUN ; Jong Woo KIM ; Sung-Vin YIM ; Miae OH ; Won Sub KANG
Journal of the Korean Society of Biological Psychiatry 2022;29(1):9-14
Objectives:
Sleep is fundamental to maintaining homeostatic control and has behavioral and psychological effects on humans. To better understand the function and pathophysiology of sleep, specific gene expressions in reference to sleep deprivation have been studied. In this study, we investigated the gene expression of peripheral blood mononuclear cells after sleep deprivation to better understand the functional consequence of sleep.
Methods:
In eight healthy men, 24 h sleep deprivation was induced. Blood was sampled at 14:00, before and after sleep deprivation.mRNA was isolated and analyzed via microarrays. cDNAs before and after sleep deprivation were coupled to Cy3 or Cy5, respectively, and normalized cDNAs were selected with a ratio greater than two as a significant gene. Results are expressed as mean.
Results:
Among 41174 transcripts, 38852 genes were selected as reliable, and only a small minority (< 1%) of the genes were up-or down-regulated. Total six and eleven genes were selected as significant upregulated and downregulated genes, respectively. Protein tyrosine phosphatase receptor type O was most upregulated (6.9-fold), and low-density lipoprotein receptor-related protein 5-like protein showed the most substantial inhibition (0.06-fold).
Conclusions
This study showed significant associations between sleep deprivation and the immune system. Acute sleep deprivation affects pathways in proinflammatory cytokines as well as metabolic pathways of glutamate and purine, neurotransmitters related to sleep and wake cycle.
4.Cognition enhancing effect of panax ginseng in Korean volunteers with mild cognitive impairment: a randomized, double-blind, placebo-controlled clinical trial
Key Chung PARK ; Hui JIN ; Renhua ZHENG ; Sehyun KIM ; Seung Eun LEE ; Bo Hyung KIM ; Sung Vin YIM
Translational and Clinical Pharmacology 2019;27(3):92-97
This study aimed to investigate the cognition-enhancing effect of Panax ginseng. A randomized, double-blind, placebo-controlled clinical trial was conducted to address the cognition-enhancing effects of Panax ginseng. A total of 90 Korean volunteers with mild cognitive impairment participated in this study. All subjects were allocated randomly into ‘Ginseng’ group or ‘Placebo’ group. All subjects were administered 3g of Panax ginseng powder or starch (placebo) for 6 months. The Korean version of the Mini-Mental Status Examination (K-MMSE), Korean version of Instrumental Activities of Daily Living (K-IADL), and Seoul Neuropsychological Screening Battery (SNSB) were used to assess the changes in cognitive function at the end of the 6 month study period. The subjects of the ‘Ginseng’ group improved significantly on the Rey Complex Figure Test (RCFT) immediate recall (P = 0.0405 and P = 0.0342 in per-protocol (PP) and intention-to-treat (ITT) analysis, respectively) and on the RCFT 20-min delayed recall (P = 0.0396 and P = 0.0355 in PP and ITT analysis, respectively) compared with ‘placebo’ group throughout the 6 months of Panax ginseng administration. There were no serious adverse events. These results suggest that Panax ginseng has a cognition-enhancing effect.
Activities of Daily Living
;
Cognition
;
Mass Screening
;
Memory, Short-Term
;
Mild Cognitive Impairment
;
Panax
;
Seoul
;
Starch
;
Volunteers
5.Comparative pharmacokinetic and tolerability evaluation of two simvastatin 20 mg formulations in healthy Korean male volunteers.
Seol Ju MOON ; SeungHwan LEE ; Kyungho JANG ; Kyung Sang YU ; Sung Vin YIM ; Bo Hyung KIM
Translational and Clinical Pharmacology 2017;25(1):10-14
Simvastatin is used to reduce plasma cholesterol by inhibiting 3-hydroxy-3-methylglutaryl coenzyme A (HMG-CoA) reductase and is primarily used to treat hypercholesterolemia. This study was conducted to assess the bioequivalence between the generic formulation of simvastatin 20 mg and the branded formulation of simvastatin 20 mg. A generic formulation of simvastatin 20 mg tablet was developed and the pharmacokinetics of the generic formulation were compared with those of the branded formulation of simvastatin 20 mg tablet in 33 healthy male volunteers after a single oral dose in a randomized, open-label, two-period, two-sequence, crossover study. The reference (Zocor®, MSD Korea LTD.) and test (Simvarotin®, Korea Arlico Pharm Co., Ltd.) formulations, two 20 mg tablets each, were administered to all subjects in fasting status. The serial blood samples for pharmacokinetic analysis were collected before dosing and up to 24 hours post-dose, and plasma concentrations of simvastatin were determined by liquid chromatography-tandem mass spectrometry. The pharmacokinetic parameters including T(max), C(max), AUC(last), AUC(inf) and t½ were calculated for both formulations by non-compartmental method, and the log-transformed C(max) and AUC(last) were compared statistically. Geometric mean ratios (90% confidence intervals) of the test to the reference formulation in C(max) and AUC(last) were 0.9652 (0.8302–1.1223) and 0.9891 (0.8541–1.1455), respectively. No significant differences in tolerability profiles were noted between the two formulations. The two formulations of simvastatin 20 mg tablets exhibited comparable pharmacokinetic profiles and 90% confidence intervals were within the acceptable range of bioequivalence criteria.
Cholesterol
;
Coenzyme A
;
Cross-Over Studies
;
Fasting
;
Humans
;
Hypercholesterolemia
;
Korea
;
Male*
;
Mass Spectrometry
;
Methods
;
Oxidoreductases
;
Pharmacokinetics
;
Plasma
;
Simvastatin*
;
Tablets
;
Therapeutic Equivalency
;
Volunteers*
6.Screening study for genetic polymorphisms affecting pharmacokinetics of talniflumate.
Li Hua JIN ; Bo Hyung KIM ; Ji Hyun LEE ; Kidong LEE ; KyuBum KWACK ; Sung Vin YIM
Translational and Clinical Pharmacology 2017;25(4):166-172
Talniflumate is a phthalidyl ester of niflumic acid, which has potent analgesic and anti-inflammatory effects and is widely used to treat inflammatory disorders, such as rheumatoid arthritis. To screen the possible genetic factors affecting the pharmacokinetics (PK) of talniflumate, 23 male Korean volunteers were enrolled from two separate bioequivalence studies. All subjects received 740 mg (two tablets) talniflumate in a standard 2×2 cross-over model in a randomized order. For the genetic study, PK parameters of the reference drug were used. We used Illumina Human610Quad v1.0 DNA Analysis BeadChip for whole genome single nucleotide polymorphism (SNP) analysis and whole genome genotyping data were processed by linear regression analysis for PK parameters. Whole genome analysis revealed 1498 significant SNPs (P < 0.0001) for Cmax, 65 significant SNPs (P < 0.0001) for T(max), and 1491 significant SNPs (P < 0.0001) for AUC(inf). For clinical pharmacological purposes, we selected SNPs from drug metabolizing enzymes and transporters, and analyzed the PK parameters of various genotypes. Two SNPs (rs11165069 from ABCA4 (p=0.00002); rs17847036 from CYP2C9 (p=0.000001)) showed significant associations with talniflumate C(max). In the T(max) group, two SNPs (rs3787555 from CYP24A1 (p=0.00035); rs2275034 from ABCA4 (p=0.000587)) showed significant associations with talniflumate T(max). In the AUC(inf) group, two SNPs (rs11165069 from ABCA4 (p=0.00002); rs12461006 from SLC1A6 (p=0.00008)) exhibited significant associations with talniflumate absorption. These results show that genetic factors could affect the PK parameters, and provide information that may be used in the development of personalized talniflumate therapy.
Absorption
;
Arthritis, Rheumatoid
;
Cytochrome P-450 CYP2C9
;
DNA
;
Genome
;
Genotype
;
Humans
;
Linear Models
;
Male
;
Mass Screening*
;
Niflumic Acid
;
Pharmacogenetics
;
Pharmacokinetics*
;
Polymorphism, Genetic*
;
Polymorphism, Single Nucleotide
;
Therapeutic Equivalency
;
Vitamin D3 24-Hydroxylase
;
Volunteers
7.Screening study for genetic polymorphisms affecting pharmacokinetics of simvastatin.
Sohee IM ; Bo Hyung KIM ; Kidong LEE ; Kyubum KWACK ; Sung Vin YIM
Translational and Clinical Pharmacology 2016;24(1):43-54
Simvastatin reduces plasma cholesterol by inhibiting HMG-CoA reductase (HMGR) and is widely used in the treatment of hypercholesterolemia. To screening the possible genetic factors affecting the pharmacokinetics (PK) of simvastatin, 35 male Korean volunteers were enrolled from two separate bioequivalence studies. Each subject was administered 20 mg simvastatin and reference drug PK parameters were used. We used Illumina Human610Quad v1.0 DNA Analysis BeadChip for whole genome SNPs analysis and whole genome genotyping data was processed by linear regression analysis for PK parameters of drug metabolizing enzymes and transporters. We found 145 significant SNPs (P < 0.01) in C(max), 135 significant SNPs (P < 0.01) in T(max) and 85 significant SNPs (P < 0.01) in AUC(inf) from whole genome analysis. In particular, we found that the ABCC2 gene had a significant effect on C(max) and AUC(inf). These results could provide information of possible candidate genes for personalized simvastatin therapy.
Cholesterol
;
DNA
;
Genome
;
Humans
;
Hypercholesterolemia
;
Linear Models
;
Male
;
Mass Screening*
;
Oxidoreductases
;
Pharmacogenetics
;
Pharmacokinetics*
;
Plasma
;
Polymorphism, Genetic*
;
Polymorphism, Single Nucleotide
;
Simvastatin*
;
Therapeutic Equivalency
;
Volunteers
8.Erratum: Pharmacokinetics and bioequivalence of two different 20 mg olmesartan tablets: A randomized, single-dose, two-period crossover study in healthy Korean male volunteers.
Jieon LEE ; Anhye KIM ; Kyung Sang YU ; Jae Yong CHUNG ; Sung Vin YIM ; Bo Hyung KIM
Translational and Clinical Pharmacology 2016;24(2):111-111
In the published version of this article, an error in the sponsor's identity was discovered in the acknowledgment section.
9.Pharmacokinetic comparison of two levofloxacin 100-mg tablet formulations and determination of time point appropriately reflecting its area under the curve.
Kyoung Ryun PARK ; Kyungho JANG ; Seunghwan LEE ; Kyung Sang YU ; Bo Hyung KIM ; Sung Vin YIM
Translational and Clinical Pharmacology 2016;24(2):84-89
Levofloxacin is a broad-spectrum antibiotic with activity against gram-positive and -negative bacteria. This study compared the pharmacokinetics (PK) and evaluated the bioequivalence of two levofloxacin 100-mg tablet formulations. An open, randomized, two-way crossover study was conducted in 28 healthy volunteers. The reference (Cravit Tab 100-mg, Jeil) or test (Levobacter Tab, Seoul) formulation was administered and serial blood samples were collected over 24 h for PK analysis. Levofloxacin plasma concentrations were measured using liquid chromatography-tandem mass spectrometry (LC-MS/MS). The correlation of levofloxacin concentration at various time points with the area under the concentration time-curve over the time interval from 0 extrapolated to infinity (AUCinf) was estimated to determine the best reflected time point. The average half-life, maximum plasma concentration (Cmax), and AUClast were comparable. The 90% confidence intervals (CIs) of the geometric mean ratio (GMR test/reference) of AUClast and Cmax were 0.8200-1.0633 and 0.9474-1.0643 respectively. Both formulations were tolerated with no clinically relevant safety issues. Plasma levofloxacin concentrations at various time points correlated well with the AUCinf, and showed high correlation coefficients (r > 0.7, P < 0.001) for both drugs 8 and 12 h after administration. Both formulations showed similar PK profiles while levofloxacin plasma levels after administration indicated their bioequivalence. The Cmax and AUClast GMR 90% CIs were 0.80-1.25. Moreover, 12 h was the best time point to predict the AUCinf and therefore suitable for therapeutic drug monitoring.
Bacteria
;
Cross-Over Studies
;
Drug Monitoring
;
Half-Life
;
Healthy Volunteers
;
Levofloxacin*
;
Mass Spectrometry
;
Pharmacokinetics
;
Plasma
;
Therapeutic Equivalency
10.Screening study for genetic polymorphisms affecting pharmacokinetics of pioglitazone.
Ji Young YUN ; Bo Hyung KIM ; Ji Hyun LEE ; Kidong LEE ; KyuBum KWACK ; Sung Vin YIM
Translational and Clinical Pharmacology 2016;24(4):194-202
Pioglitazone is known to have antidiabetic effects through decreasing peripheral, hepatic and vascular insulin resistance by the stimulation of PPAR gamma. To address the possible genetic factors affecting the pharmacokinetics (PK) of pioglitazone, 27 male Korean volunteers were enrolled from two separate bioequivalence studies. Each subject was administered 15 mg pioglitazone and reference drug PK parameters were used. We used Illumina Human610 Quad v1.0 DNA Analysis BeadChip for whole genome SNPs analysis and whole genome genotyping data was processed by linear regression analysis for PK parameters. We found 35 significant SNPs (P < 0.0001) in C(max), 1,118 significant SNPs (P < 0.0001) in T(max) and 1,259 significant SNPs (P < 0.0001) in AUC(inf) from whole genome analysis. For clinical pharmacological purpose, we selected SNPs from several phase I and II drug metabolizing enzyme and analyzed PK parameters with genotypes. Four SNPs (rs7761731 and rs3799872 from CYP39A1; rs156697 from GSTO2; rs1558139 from CYP4F2) showed significant associations with pioglitazone C(max). In the T(max) group, seven SNPs from 3 genes (rs3766198 from CYP4B1; rs2270422 from GSTZ1; rs2054675, rs10500282, rs3745274, rs8192719, and rs11673270 from CYP2B6) had significant associations. In the AUC(inf) group, seven SNPs from 4 genes (rs11572204 from CYP2J2; rs4148280 from UGT2A1, rs4646422 from CYP1A1; rs3745274, rs8192719, rs11673270, and rs707265 from CYP2B6) showed significant associations with pioglitazone absorption. These results showed that genetic makeup could affect the PK parameters and these informations could be provide information for personalized pioglitazone therapy.
Absorption
;
Cytochrome P-450 CYP1A1
;
DNA
;
Elvitegravir, Cobicistat, Emtricitabine, Tenofovir Disoproxil Fumarate Drug Combination
;
Genome
;
Genotype
;
Humans
;
Insulin Resistance
;
Linear Models
;
Male
;
Mass Screening*
;
Pharmacogenetics
;
Pharmacokinetics*
;
Polymorphism, Genetic*
;
Polymorphism, Single Nucleotide
;
PPAR gamma
;
Therapeutic Equivalency
;
Volunteers

Result Analysis
Print
Save
E-mail