130 research outputs found

    Temporal changes in ovarian gonadotropin-releasing hormone mRNA levels by gonadotropins in the rat

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    Temporal Changes in Ovarian Gonadotropin-Releasing Hormone mRNA Levels by Gonadotropins in the Rat Sung Ho Lee, Eun-Seob Song, Sun Kyeong Yu, Changmee Kim, Dae Kee Lee, Wan Sung Choi l and Kyungjin Kim* Department of Molecular Biofogy and SRC for Cell Differentiation, Seoul National University, Seoul 150-742, Korea; IDepartment of Anatomy, College of Medicine, Gyeongsanf; National University, Chinju 660-280, Korea (Recei·. cd on December 29, 1993) The present study examines whether gonadotropins are involved in the regulation of ovarian GnRH gene expression and how ovarian GnRH gene expression temporalJy correlates with alterations in hypothalamic GnRH, pituitary LH~ gene expression in respons to gonadotropins. Hypothalamic and ovarian GnRH mRNA and pituitary LH~ mRNA levels were determined by respective RNA-blot hybridizations, and ovarian GnRH and estradiol contents and serum LH levels were measured by respective radioimmunoassays. Three animal models such as 1) PMSG-treated, 2) PMSG and heG-treated immature rats and 3) proestrous stage of adult rats were used. Immature rats (25-days old) were administered with PMSG (10 iu) at 10:00 hand 48 h later with heG (10 iu) to induce ovulation. In the PMSG-injected model, hypothalamic GnRH mRNA levels were markedly augmented about 9-fold at 50 h, and pituitary LH mRNA 3-fold at 52 h after PMSG administration. Serum LH levels were increased to the preovulatory surge levels at 56 h, and ovarian GnRH mRNA levels were augmented 4-fold at 60 h after PMSG injection. Administration of heG also induced a marked enhancement in ovarian GnRH mRNA levels in comparison to the values shown in both intact and PMSGtreated rats at 52 hand 54 h, respectively. In the proestrous stage of normal adult rats, pituitary LH~ mRNA levels were peaked at 16:00 h. The preovulatory LH surge was evident at 4 h before increment in ovarian GnRH mRNA levels as shown in PMSG-treated rats. The present study clearly showed the sequential increase in hypothalamic GnRH mRNA, pituitary LH~ mRNA and ovarian GnRH mRNA levels, indicating that ovarian GnRH may play a possible role in the control of follicular maturation and the ovulation process

    Sudden Enlightenment: Paradigm-Shifting Awakening

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    Sudden enlightenment is awakening to be attained all at once. Hyun-Eung, a Korean Buddhist monastic, has proposed a new interpretation that sudden enlightenment is the revolutionary awakening of the dynamical and indivisible structure of cognitive subject and objects. I argue that Hyun-Eung’s ‘revolutionary enlightenment’ is achieved through a ‘paradigm shift’ in Thomas Kuhn’s sense as presented in his The Structure of Scientific Revolutions. Enlightenment is obtained when one’s essentialist and realist worldview is replaced, through a revolutionary change of paradigm shift, by a new perspective based on the Buddhist teaching of dependent arising and emptiness. Prior to enlightenment, each person views oneself as a separate and independent individual who has her own essence. However, when our perspective on self and the world changes with the understanding of dependent arising and emptiness, it becomes clear that no one and nothing can exist independently of conditions. Everything comes into existence, abides, and passes out of existence only in dependence on conditions. Sudden enlightenment requires a revolutionary change in one’s perspective of self and the world. I conclude that this concept of revolutionary enlightenment aptly explains the features of sudden enlightenment

    Serum immunoglobulin fused interferon-α inhibited tumor growth in athymic mice bearing colon 26 adenocarcinoma cells

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    Interferon (IFN) has therapeutic potential for a wide range of infectious and proliferative disorders. However, the half-life of IFN is too short to have a stable therapeutic effect. To overcome this problem, serum immunoglobulin has been fused to IFN. In this study, the efficacy of serum immunoglobulin fused INFs (si-IFN1 and si-IFN2) was evaluated on athymic mice bearing colon 26 adenocarcinoma cells. Seven days after the implantation of tumor cells, each group of mice was injected once a week with si-IFN1 and si-IFN2 at two different concentrations (10 × : 30 µg/kg and 50 × : 150 µg/kg). A slight anti-tumoral effect was observed in all 10 × groups compared to the control. In the 50 × groups, however, si-IFN1 and si-IFN2 showed significant anti- tumoral effects compared to the control. To gain more information on the mechanisms associated with the decrease of tumor size, a Western blot assay of apoptosis-related molecules was performed. The protein expression of cytochrome c, caspase 9, 6, and 3 were increased by si-IFN1 and si-IFN2. These 2 IFNs also increased the expressions of p53, p21, Bax and Bad. Interestingly, si-IFN1 and si-IFN2 decreased the expression of VEGF-β. Taken together, serum immunoglobulin fused IFNs increased therapeutic efficacy under current experimental condition

    Comparisons of obesity assessments in over-weight elementary students using anthropometry, BIA, CT and DEXA

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    Obesity was characterized in Korean elementary students using different obesity assessment tests on 103 overweight elementary students from three schools of Jeonbuk Province. The body mass index (BMI) and obesity index (OI) were compared, and the data using DEXA and CT were compared with the data using BIA and a tape measure. The results of this study are as follows: first, 27 students who were classified as obese by OI were classified as overweight by BMI, and 3 students who were classified as standard weight by BMI were classified as overweight by OI. Secondly, by DEXA and BIA measurements, there was 1.51% difference in body fat percentage (boys 1.66%, girls 1.17%) and the difference in body fat mass between boys and girls was 0.77 kg (boys 0.85 kg, girls 0.59 kg), but those differences in body fat percentage and mass were not statistically significant. Thirdly, the average total abdominal fat (TAF) measured by CT scans of obese children was more significantly related with subcutaneous fat (r = 0.983, P < 0.01) than visceral fat (r = 0.640, P < 0.01). Also, TAF were highest significant with waist circumference by a tape measure (r = 0.744, P < 0.01). In summary, as there are some differences of assessment results between two obesity test methods (BMI, OI), we need more definite standards to determine the degree of obesity. The BIA seems to be the most simple and effective way to measure body fat mass, whereas waist/hip ratio (WHR) using a tape measurer is considered to be the most effective method for assessing abdominal fat in elementary students

    Chemically treated plasma Aβ is a potential blood-based biomarker for screening cerebral amyloid deposition

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    Background Plasma β-amyloid (Aβ) is a potential candidate for an Alzheimers disease (AD) biomarker because blood is an easily accessible bio-fluid, which can be collected routinely, and Aβ is one of the major hallmarks of AD pathogenesis in the brain. However, the association between plasma Aβ levels and AD diagnosis is still unclear due to the instability and inaccurate measurements of plasma Aβ levels in the blood of patients with AD. If a consistent value of plasma Aβ from the blood can be obtained, this might help determine whether plasma Aβ is a potential biomarker for AD diagnosis. Methods We predicted the brain amyloid deposit by measuring the plasma Aβ levels. This cross-sectional study included 353 participants (215 cognitively normal, 79 with mild cognitive impairment, and 59 with AD dementia) who underwent Pittsburgh-compound B positron emission tomography (PiB-PET) scans. We treated a mixture of protease inhibitors and phosphatase inhibitors (MPP) and detected plasma Aβ42 and Aβ40 (MPP-Aβ42 and MPP-Aβ40) in a stable manner using xMAP technology. Results MPP-Aβ40 and MPP-Aβ42/40 (MPP-Aβs) were significantly different between subjects with positive amyloid deposition (PiB+) and those with negative amyloid deposition (PiB–) (P < 0.0001). Furthermore, MPP-Aβ40 (P < 0.0001, r = 0.23) and MPP-Aβ42/40 ratio (P < 0.0001, r = –0.23) showed significant correlation with global PiB deposition (standardized uptake value ratio). In addition, our integrated multivariable (MPP-Aβ42/40, gender, age, and apolipoprotein E genotypes) logistic regression model proposes a new standard for the prediction of cerebral amyloid deposition. Conclusions MPP-Aβ might be one of the potential blood biomarkers for the prediction of PiB-PET positivity in the brain

    Microbial and molecular differences according to the location of head and neck cancers

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    Microbiome has been shown to substantially contribute to some cancers. However, the diagnostic implications of microbiome in head and neck squamous cell carcinoma (HNSCC) remain unknown. To identify the molecular difference in the microbiome of oral and non-oral HNSCC, primary data was downloaded from the Kraken-TCGA dataset. The molecular differences in the microbiome of oral and non-oral HNSCC were identified using the linear discriminant analysis effect size method. In the study, the common microbiomes in oral and non-oral cancers were Fusobacterium, Leptotrichia, Selenomonas and Treponema and Clostridium and Pseudoalteromonas, respectively. We found unique microbial signatures that positively correlated with Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways in oral cancer and positively and negatively correlated KEGG pathways in non-oral cancer. In oral cancer, positively correlated genes were mostly found in prion diseases, Alzheimer disease, Parkinson disease, Salmonella infection, and Pathogenic Escherichia coli infection. In non-oral cancer, positively correlated genes showed Herpes simplex virus 1 infection and Spliceosome and negatively correlated genes showed results from PI3K-Akt signaling pathway, Focal adhesion, Regulation of actin cytoskeleton, ECM-receptor interaction and Dilated cardiomyopathy. These results could help in understanding the underlying biological mechanisms of the microbiome of oral and non-oral HNSCC. Microbiome-based oncology diagnostic tool warrants further exploration.This work was supported by the National Research Foundation of Korea (NRF-2018R1A5A2023879, 2020R1A2C1005203, 2020R1C1C1003741, and 2021R1A2C4001466). This research was supported by a grant of the Medical data-driven hospital support project through the Korea Health Information Service (KHIS), funded by the Ministry of Health & Welfare, Republic of Korea. A portion of the data used for this study were obtained from the GenomeInfraNet (IDs: 1711020733, 1711032008, and 1711028992) of the Korea Bioinformation Center

    Genetic associations of in vivo pathology influence Alzheimers disease susceptibility

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    Introduction Although the heritability of sporadic Alzheimers disease (AD) is estimated to be 60–80%, addressing the genetic contribution to AD risk still remains elusive. More specifically, it remains unclear whether genetic variants are able to affect neurodegenerative brain features that can be addressed by in vivo imaging techniques. Methods Targeted sequencing analysis of the coding and UTR regions of 132 AD susceptibility genes was performed. Neuroimaging data using 11C-Pittsburgh Compound B positron emission tomography (PET), 18F-fluorodeoxyglucose PET, and MRI that are available from the KBASE (Korean Brain Aging Study for Early Diagnosis and Prediction of Alzheimers disease) cohort were acquired. A total of 557 participants consisted of 336 cognitively normal (CN) adults, 137 mild cognitive impairment (MCI), and 84 AD dementia (ADD) groups. Results We called 5391 high-quality single nucleotide variants (SNVs) on AD susceptibility genes and selected significant associations between variants and five in vivo AD pathologies: (1) amyloid β (Aβ) deposition, (2) AD-signature region cerebral glucose metabolism (AD-Cm), (3) posterior cingulate cortex (PCC) cerebral glucose metabolism (PCC-Cm), (4) AD-signature region cortical thickness (AD-Ct), and (5) hippocampal volume (Hv). The association analysis for common variants (allele frequency (AF) > 0.05) yielded several novel loci associated with Aβ deposition (PIWIL1-rs10848087), AD-Cm (NME8-rs2722372 and PSEN2-rs75733498), AD-Ct (PSEN1-rs7523) and, Hv (CASS4-rs3746625). Meanwhile, in a gene-based analysis for rare variants (AF < 0.05), cases carrying rare variants in LPL, FERMT2, NFAT5, DSG2, and ITPR1 displayed associations with the neuroimaging features. Exploratory voxel-based brain morphometry between the variant carriers and non-carriers was performed subsequently. Finally, we document a strong association of previously reported APOE variants with the in vivo AD pathologies and demonstrate that the variants exert a causal effect on AD susceptibility via neuroimaging features. Conclusions This study provides novel associations of genetic factors to Aβ accumulation and AD-related neurodegeneration to influence AD susceptibility.The study was supported by grants from the National Research Foundation of Korea (2014M3C7A1046049 and 2018M3C9A5064708 for Choi M and 2014M3C7A1046042 for Lee DY) and grants from the Ministry of Health and Welfare of Korea (HI18C0630 for Mook-Jung IH and Lee DY, and HI19C0149 for Lee DY)

    Status and trends in epidemiologic characteristics of diabetic end-stage renal disease: an analysis of the 2021 Korean Renal Data System

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    This article provides an update of the trends and characteristics of diabetic kidney disease stage 5D (CKD 5D) patients according to the Korean Renal Data System (KORDS), a nationwide registry database operated by the Korean Society of Nephrology. The KORDS Committee analyzed epidemiologic characteristics of diabetic CKD 5D patients using data from 2001 to 2021 in KORDS. In 2021, the dialysis adequacy of hemodialysis (HD) was lower in diabetic CKD 5D patients than non-diabetic CKD 5D patients, while that of peritoneal dialysis (PD) was similar. Diabetic CKD 5D patients had a higher proportion of cardiac and vascular diseases and were more frequently admitted to hospitals than non-diabetic CKD 5D patients, and the leading cause of death was cardiac disease. From 2001 to 2020, diabetic CKD 5D patients had a higher mortality rate than non-diabetic CKD 5D patients, but in 2021 this trend was reversed. Diabetic PD patients had the highest mortality rate over 20 years. The mortality rate of diabetic HD patients was higher than that of non-diabetic HD patients until 2019 but became lower starting in 2020. There was a decreasing trend in mortality rate in diabetic CKD 5D patients, but cardiac and vascular diseases were still prevalent with frequent admissions to hospitals. More specialized care is needed to improve the clinical outcomes of diabetic CKD 5D patients
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