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○ ○ Article ⓘ Statistical Characteristics of Cloud Occurrence and Vertical Structure Observed by a Ground-Based Ka-Band Cloud Radar in South Korea ⓘ The cloud measurements for two years from the vertical pointing Ka-band cloud radar at Boseong in Korea are used to analyze detailed cloud properties. The reflectivity of the cloud radar is calibrated with other vertical pointing radars compared with the two disdrometers. A simple threshold-based quality control method is applied to eliminate non-meteorological echoes (insects and noise) in conjunction with despeckling along the radial direction. Clouds are classified into five types: high (HC), middle (MC), low (LC) for non-precipitating clouds, and deep (RainDP) and shallow (RainSH) for precipitating clouds. The average cloud frequency was about 35.9% with the maximum frequency of 50% in June for the total two-year sampling period. The RainDP occurred most frequently (11.8%), followed by HC (9.3%), MC (7.4%), RainSH (4.4%), and LC (2.9%) out of the average occurrence of the total 35.9%. HC and RainDP were frequently observed in summer and autumn, while RainSH, LC, and MC were dominant in the winter due to the dominant cloud development by the air-sea interaction during the cold air outbreak. The HC showed a significant seasonal variation of the maximum height and the rapid growth in the layer above 7 km (about -15 degrees C) in summer and autumn. This rapid growth appears in HC, MC, LC, and RainDP and is linked with rapid increases in Doppler velocity and mass flux. Thus, this growth is originated from the dominant riming processes in addition to depositional growth and is supported by an updraft in the layer between 6 and 8 km. MC showed a single frequency peak around 6 km with rapid growth above and strong evaporation below. The Doppler velocity of MC rapidly increases above 8 km and is nearly constant below this height due to strong evaporation except in the summer. LC had a similar trend of reflectivity (rapid growth in the HC region and strong evaporation in the lower region) lacking high frequency in the MC region. Unlike LC, the RainDP had continuous growth toward the ground in the entire layer with rapid growth in the HC and MC regions. In addition, two modes (cloud and precipitation) appear on the ground in spring and fall with the vertical continuity of the high frequency in the precipitation mode. The precipitation growth was most efficient in RainSH in summer with a reflectivity gradient of about 20 dBZ km(-1)and frequent updrafts larger than 1 m s(-1)and was smaller in the MC and HC regions. ⓘ Ye, Bo-Young; Jung, Eunsil; Shin, Seungsook; Lee, GyuWon ⓘ Kyungpook Natl Univ, Dept Astron & Atmospher Sci, Ctr Atmospher REmote Sensing CARE, Daegu 41566, South Korea; Kyungpook Natl Univ, Dept Adv Sci & Technol Convergence, Sangju 37224, South Korea; Korea Meteorol Adm, Natl Inst Meteorol Sci, Segwipo 63568, South Korea ⓘ ⓘ 56727476700; 55683061800; 57218293351; 7404852271 ⓘ boyoungye@knu.ac.kr;eunsil.jung@knu.ac.kr;tmdtnr2@korea.kr;gyuwon@knu.ac.kr; ⓘ REMOTE SENSING ⓘ REMOTE SENS-BASEL ⓘ 2072-4292 12 14 SCIE ENVIRONMENTAL SCIENCES;GEOSCIENCES, MULTIDISCIPLINARY;IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY;REMOTE SENSING ⓘ 2020 4.848 13.3 0.51 2025-06-25 ⓘ 12 12 cloud occurrence; vertical structure; cloud radar; cloud types; cloud and precipitation modes; updraft; riming process ⓘ DOPPLER RADAR; WRF MODEL; CALIBRATION; REFLECTIVITY; VARIABILITY; PENINSULA; CLASSIFICATION; PRECIPITATION; DISTRIBUTIONS; CLIMATOLOGY ⓘ Cloud and precipitation modes; Cloud occurrence; Cloud radar; Cloud types; Riming process; Updraft; Vertical structure ⓘ Evaporation; Radar; Radar measurement; Reflection; Air sea interactions; Cloud development; Depositional growth; High frequency HF; Precipitating clouds; Seasonal variation; Statistical characteristics; Vertical structures; Precipitation (meteorology) ⓘ English 2020 2020-07 10.3390/rs12142242 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ Uncertainty Analysis for Object-Based Change Detection in Very High-Resolution Satellite Images Using Deep Learning Network ⓘ Object-based image analysis (OBIA) is better than pixel-based image analysis for change detection (CD) in very high-resolution (VHR) remote sensing images. Although the effectiveness of deep learning approaches has recently been proved, few studies have investigated OBIA and deep learning for CD. Previously proposed methods use the object information obtained from the preprocessing and postprocessing phase of deep learning. In general, they use the dominant or most frequently used label information with respect to all the pixels inside an object without considering any quantitative criteria to integrate the deep learning network and object information. In this study, we developed an object-based CD method for VHR satellite images using a deep learning network to denote the uncertainty associated with an object and effectively detect the changes in an area without the ground truth data. The proposed method defines the uncertainty associated with an object and mainly includes two phases. Initially, CD objects were generated by unsupervised CD methods, and the objects were used to train the CD network comprising three-dimensional convolutional layers and convolutional long short-term memory layers. The CD objects were updated according to the uncertainty level after the learning process was completed. Further, the updated CD objects were considered as the training data for the CD network. This process was repeated until the entire area was classified into two classes, i.e., change and no-change, with respect to the object units or defined epoch. The experiments conducted using two different VHR satellite images confirmed that the proposed method achieved the best performance when compared with the performances obtained using the traditional CD approaches. The method was less affected by salt and pepper noise and could effectively extract the region of change in object units without ground truth data. Furthermore, the proposed method can offer advantages associated with unsupervised CD methods and a CD network subjected to postprocessing by effectively utilizing the deep learning technique and object information. ⓘ Song, Ahram; Kim, Yongil; Han, Youkyung ⓘ Seoul Natl Univ, Dept Civil & Environm Engn, 1 Gwanak Ro, Seoul 08826, South Korea; Kyungpook Natl Univ, Sch Convergence & Fus Syst Engn, Sangju 37224, South Korea ⓘ ⓘ 56496312900; 7410213546; 55457676600 ⓘ aram200@snu.ac.kr;yik@snu.ac.kr;han602@knu.ac.kr; ⓘ REMOTE SENSING ⓘ REMOTE SENS-BASEL ⓘ 2072-4292 12 15 SCIE ENVIRONMENTAL SCIENCES;GEOSCIENCES, MULTIDISCIPLINARY;IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY;REMOTE SENSING ⓘ 2020 4.848 13.3 1.45 2025-06-25 ⓘ 18 23 change detection; object-based image analysis; very high-resolution satellite images; deep learning network ⓘ GEOMETRIC ACCURACY; CLASSIFICATION; PIXEL ⓘ Change detection; Deep learning network; Object-based image analysis; Very high-resolution satellite images ⓘ Convolution; Learning systems; Object detection; Pixels; Remote sensing; Satellites; Uncertainty analysis; Learning techniques; Object based change detections; Object based image analysis (OBIA); Quantitative criteria; Remote sensing images; Salt-and-pepper noise; Very high resolution; Very high resolution satellite images; Deep learning ⓘ English 2020 2020-08 10.3390/rs12152345 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ Uncertainty in Measured Raindrop Size Distributions from Four Types of Collocated Instruments ⓘ Four types (2D-video disdrometer: 2DVD; precipitation occurrence sensor system: POSS; micro-rain radar: MRR; and Joss-Waldvogel disdrometer: JWD) of sixteen instruments were collocated within a square area of 400 m(2) from 16 April to 8 May 2008 for intercomparison of drop size distribution (DSD) of rain. This unique dataset was used to study the inherent measurement uncertainty due to the diversity of the measuring principles and sampling sizes of the four types of instruments. The DSD intercomparison shows generally good agreement among them, except that the POSS and MRR had higher concentrations of small raindrops (5.2 mm). The measurement uncertainty (sigma) was obtained quantitatively after considering the zero or non-zero measurement error covariance between two instruments of the same type. The results indicate the measurement uncertainties were found to be neither independent nor identical among the same type of instruments. The MRR is relatively accurate (lower sigma) due to large sampling volumes and accurate measurement of the Doppler power spectrum. The JWD is the least accurate due to the small sampling volumes. The sigma decreases rapidly with increasing time-averaging window. The 2DVD shows the best accuracy of R in longer averaging time, but this is not true for Z due to the small sampling volume. The MRR outperformed other instruments for Z for entire averaging time due to its measuring principle. ⓘ Chang, Wei-Yu; Lee, GyuWon; Jou, Ben Jong-Dao; Lee, Wen-Chau; Lin, Pay-Liam; Yu, Cheng-Ku ⓘ Natl Cent Univ, Dept Atmospher Sci, Taoyuan 32001, Taiwan; Kyungpook Natl Univ, Dept Astron & Atmospher Sci, Ctr Atmospher Remote Sensing CARE, Daegu 41566, South Korea; Natl Taiwan Univ, Dept Atmospher Sci, Taipei 10617, Taiwan; Natl Ctr Atmospher Res, Boulder, CO 80301 USA ⓘ ; Yu, Cheng-Ku/AAH-5223-2020; Lin, Pay-Liam/S-7731-2017 ⓘ 35319691100; 7404852271; 6603573234; 7407084420; 7403225569; 7404976738 ⓘ wychang@g.ncu.edu.tw;gyuwon@knu.ac.kr;jouben@ntu.edu.tw;wenchau@ucar.edu;tliam@atm.ncu.edu.tw;yuku@ntu.edu.tw; ⓘ REMOTE SENSING ⓘ REMOTE SENS-BASEL ⓘ 2072-4292 12 7 SCIE ENVIRONMENTAL SCIENCES;GEOSCIENCES, MULTIDISCIPLINARY;IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY;REMOTE SENSING ⓘ 2020 4.848 13.3 1.23 2025-06-25 ⓘ 25 26 drop size distribution; uncertainty; sampling volume; disdrometer; measuring principle ⓘ SMALL-SCALE VARIABILITY; POLARIMETRIC RADAR; VIDEO DISDROMETER; MICROPHYSICAL CHARACTERISTICS; RAINFALL MEASUREMENTS; OPTICAL DISDROMETER; SPATIAL STRUCTURE; DOPPLER RADAR; PRECIPITATION; VELOCITY ⓘ Disdrometer; Drop size distribution; Measuring principle; Sampling volume; Uncertainty ⓘ Drops; Rain; Size distribution; Accurate measurement; Doppler power spectrum; Drop size distribution; Intercomparisons; Measurement uncertainty; Raindrop size distribution; Sampling volume; Time-averaging window; Uncertainty analysis ⓘ English 2020 2020-04 10.3390/rs12071167 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ X-Net-Based Radar Data Assimilation Study over the Seoul Metropolitan Area ⓘ This study investigates the ability of the high-resolution Weather Research and Forecasting (WRF) model to simulate summer precipitation with assimilation of X-band radar network data (X-Net) over the Seoul metropolitan area. Numerical data assimilation (DA) experiments with X-Net (S- and X-band Doppler radar) radial velocity and reflectivity data for three events of convective systems along the Changma front are conducted. In addition to the conventional assimilation of radar data, which focuses on assimilating the radial velocity and reflectivity of precipitation echoes, this study assimilates null-echoes and analyzes the effect of null-echo data assimilation on short-term quantitative precipitation forecasting (QPF). A null-echo is defined as a region with non-precipitation echoes within the radar observation range. The model removes excessive humidity and four types of hydrometeors (wet and dry snow, graupel, and rain) based on the radar reflectivity by using a three-dimensional variational (3D-Var) data assimilation technique within the WRFDA system. Some procedures for preprocessing radar reflectivity data and using null-echoes in this assimilation are discussed. Numerical experiments with conventional radar DA over-predicted the precipitation. However, experiments with additional null-echo information removed excessive water vapor and hydrometeors and suppressed erroneous model precipitation. The results of statistical model verification showed improvements in the analysis and objective forecast scores, reducing the amount of over-predicted precipitation. An analysis of a contoured frequency by altitude diagram (CFAD) and time-height cross-sections showed that increased hydrometeors throughout the data assimilation period enhanced precipitation formation, and reflectivity under the melting layer was simulated similarly to the observations during the peak precipitation times. In addition, overestimated hydrometeors were reduced through null-echo data assimilation. ⓘ Lee, Ji-Won; Min, Ki-Hong; Lee, Young-Hee; Lee, GyuWon ⓘ Kyungpook Natl Univ, Dept Astron & Atmospher Sci, Daegu 41566, South Korea ⓘ Lee, Joo/C-3851-2013 ⓘ 55780416700; 37089364100; 56812706200; 7404852271 ⓘ leejiwon2040@knu.ac.kr;kmin@knu.ac.kr;young@knu.ac.kr;gyuwon@knu.ac.kr; ⓘ REMOTE SENSING ⓘ REMOTE SENS-BASEL ⓘ 2072-4292 12 5 SCIE ENVIRONMENTAL SCIENCES;GEOSCIENCES, MULTIDISCIPLINARY;IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY;REMOTE SENSING ⓘ 2020 4.848 13.3 0.73 2025-06-25 ⓘ 17 14 radar data assimilation; null-echo data assimilation; high-resolution modeling; quantitative precipitation forecast (QPF) ⓘ REFLECTIVITY DATA; SQUALL-LINE; BULK PARAMETERIZATION; CONVECTIVE-SCALE; WEATHER RESEARCH; CLOUD ANALYSIS; PART II; SYSTEM; 3DVAR; PREDICTION ⓘ High-resolution modeling; Null-echo data assimilation; Quantitative precipitation forecast (QPF); Radar data assimilation ⓘ Clouds; Doppler radar; Reflection; Data assimilation techniques; Echo data; High-resolution models; Non-precipitation echoes; Quantitative precipitation forecast; Quantitative precipitation forecasting; Radar data assimilation; Weather research and forecasting models; Weather forecasting ⓘ English 2020 2020-03 10.3390/rs12050893 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ Characterization of Clostridium novyi isolated from a sow in a sudden death case in Korea ⓘ BackgroundMultifocal spherical nonstaining cavities and gram-positive, rod-shaped, and endospore-forming bacteria were found in the liver of a sow that died suddenly. Clostridium novyi type B was identified and isolated from the sudden death case, and the isolate was characterized by molecular analyses and bioassays in the current study.ResultsC. novyi was isolated from the liver of a sow that died suddenly and was confirmed as C. novyi type B by differential PCR. The C. novyi isolate fermented glucose and maltose and demonstrated lecithinase activity, and the cell-free culture supernatant of the C. novyi isolate exhibited cytotoxicity toward Vero cells, demonstrating that the isolate produces toxins. In addition, whole-genome sequencing of the C. novyi isolate was performed, and the complete sequences of the chromosome (2.29 Mbp) and two plasmids (134 and 68 kbp) were identified for the first time. Based on genome annotation, 7 genes were identified as glycosyltransferases, which are known as alpha toxins; 23 genes were found to be related to sporulation; 12 genes were found to be related to germination; and 20 genes were found to be related to chemotaxis.ConclusionC. novyi type B was isolated from a sow in a sudden death case and confirmed by biochemical and molecular characterization. Various virulence-associated genes were identified for the first time based on whole-genome sequencing. ⓘ Jeong, Chang-Gi; Seo, Byoung-Joo; Nazki, Salik; Jung, Byung Kwon; Khatun, Amina; Yang, Myeon-Sik; Kim, Seung-Chai; Noh, Sang-Hyun; Shin, Jae-Ho; Kim, Bumseok; Kim, Won-Il ⓘ Jeonbuk Natl Univ, Coll Vet Med, 79 Gobong Ro, Iksan 54596, Jeonbuk, South Korea; Kyungpook Natl Univ, Coll Agr & Life Sci, Sch Appl Biosci, Daegu 41566, South Korea; Sher e Bangla Agr Univ, Fac Anim Sci & Vet Med, Dept Pathol, Dhaka 1207, Bangladesh; MSD Anim Hlth Korea Ltd, Seoul 04637, South Korea ⓘ Kim, Soo-Yeon/ADR-9663-2022; Kim, Seung-Chai/KOZ-8882-2024; shin, Jaeho/K-6792-2013; Myeon-Sik, Yang/HPH-3263-2023; Khatun, Amina/U-7070-2017; Nazki, Salik/AAV-1882-2021 ⓘ 57200101892; 57069638600; 56453296600; 56275206600; 57198117841; 57189872949; 57204020595; 57216726932; 57224125922; 7501566917; 55730056800 ⓘ kwi0621@jbnu.ac.kr; ⓘ BMC VETERINARY RESEARCH ⓘ BMC VET RES ⓘ 1746-6148 16 1 SCIE VETERINARY SCIENCES ⓘ 2020 2.741 13.4 0.55 2025-06-25 ⓘ 4 4 Anaerobe; Clostridium novyi; Isolation; Characterization; Whole-genome sequencing ⓘ ALPHA-TOXIN; MORTALITY; BOTULINUM; INFECTION; HAEMOLYTICUM; SORDELLII; GENOME; TETANI; SOIL ⓘ Anaerobe; Characterization; Clostridium novyi; Isolation; Whole-genome sequencing ⓘ Animals; Chlorocebus aethiops; Clostridium; Clostridium Infections; Death, Sudden; Female; Genome, Bacterial; Liver; Plasmids; Polymerase Chain Reaction; Republic of Korea; Swine; Swine Diseases; Vero Cells; genomic DNA; glucose; glycosyltransferase; maltose; phospholipase; RNA 16S; amino acid sequence; animal cell; animal experiment; Article; bacterial gene; bacterium identification; bacterium isolation; biochemical analysis; cell culture; cell viability; chemotaxis; Clostridium novyi; controlled study; cytotoxicity; DNA extraction; enzyme activity; feces analysis; gene cluster; gene expression; gene sequence; germination; Korea; nonhuman; phylogenetic tree; phylogeny; Proteobacteria; quality control; real time polymerase chain reaction; sequence alignment; sequence analysis; sudden death; whole genome sequencing; animal; bacterial genome; case report; Chlorocebus aethiops; Clostridium; Clostridium infection; female; genetics; isolation and purification; liver; metabolism; microbiology; pig; plasmid; polymerase chain reaction; South Korea; sudden death; swine disease; Vero cell line; veterinary medicine ⓘ English 2020 2020-05-06 10.1186/s12917-020-02349-9 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ Knockdown of FOXA2 Impairs Hair-Inductive Activity of Cultured Human Follicular Keratinocytes ⓘ Reciprocal interactions between hair-inductive dermal cells and epidermal cells are essential forde novogenesis of hair follicles. Recent studies have shown that outer root sheath (ORS) follicular keratinocytes can be expandedin vitro, but the cultured cells often lose receptivity to hair-inducing dermal signals. In this study, we first investigated whether the hair-inductive activity (trichogenicity) of cultured human ORS follicular keratinocytes was correlated with the cultivation period. ORS follicular keratinocytes from the scalp were cultured for 3, 4, 5, or 6 weeks and were then implanted into nude mice along with freshly isolated neonatal mouse dermal cells. We observed that the trichogenicity of the implanted ORS cells was inversely correlated with their cultivation period. These initial findings prompted us to investigate the differentially expressed genes between the short-term (20 days) and long-term (42 days) cultured ORS cells, trichogenic and non-trichogenic, respectively, by microarray analysis. We found that forkhead box protein A2 (FOXA2) was the most up-regulated transcription factor in the trichogenic ORS cells. Thus, we investigated whether the trichogenicity of the cells was affected by FOXA2 expression. We found a significant decrease in the number of induced hair follicles when the ORS cells were transfected with a FOXA2 small interfering RNA versus control small interfering RNA. Taken together, our data strongly suggest that FOXA2 significantly influences the trichogenicity of human ORS cells. ⓘ Bak, Soon-Sun; Park, Jung Min; Oh, Ji Won; Kim, Jung Chul; Kim, Moon Kyu; Sung, Young Kwan ⓘ Kyungpook Natl Univ, Sch Med, Dept Immunol, Daegu, South Korea; Kyungpook Natl Univ, Sch Med, Dept Anat, Daegu, South Korea; Kyungpook Natl Univ, Clin Omics Inst, Daegu, South Korea; Kyungpook Natl Univ Hosp, Hair Transplantat Ctr, Daegu, South Korea ⓘ ; Oh, Ji/AAZ-3153-2020 ⓘ 41561065700; 57195987554; 36093206200; 57207436677; 57199748390; 55663365300 ⓘ ysung@knu.ac.kr; ⓘ FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY ⓘ FRONT CELL DEV BIOL ⓘ 2296-634X 8 SCIE CELL BIOLOGY;DEVELOPMENTAL BIOLOGY ⓘ 2020 6.684 13.4 0.23 2025-06-25 ⓘ 5 6 forkhead box protein A2; hair induction; outer root sheath; transcription factor; trichogenicity ⓘ DERMAL PAPILLA CELLS; WNT7B ⓘ forkhead box protein A2; hair induction; outer root sheath; transcription factor; trichogenicity ⓘ collagen type 1; cytokeratin 8; fibroblast growth factor 5; hepatocyte nuclear factor 3beta; small interfering RNA; transforming growth factor beta; Wnt3 protein; Wnt5a protein; Wnt6 protein; Wnt7b protein; Wnt9a protein; animal cell; animal experiment; Article; cell isolation; comparative study; controlled study; down regulation; gene expression; gene expression profiling; genetic transfection; hair follicle; human; human cell culture; human tissue; immunohistochemistry; keratinocyte; male; microarray analysis; mouse; newborn; nonhuman; real time reverse transcription polymerase chain reaction; skin cell; TGF beta signaling; upregulation; Wnt signaling ⓘ English 2020 2020-10-08 10.3389/fcell.2020.575382 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ Korean red ginseng for cancer-related fatigue in colorectal cancer patients with chemotherapy: A randomised phase III trial ocr ⓘ Background: Cancer-related fatigue (CRF) is a common symptom and has a negative impact on prognosis in cancer patients. CRF could be improved by Korean red ginseng (KRG). Patients and methods: For this randomised and double-blinded trial, colorectal cancer patients who received mFOLFOX-6 were randomly assigned to either KRG 2000 mg/day (n = 219) or placebo (n = 219) for 16 weeks. CRF was evaluated using the mean area under the curve (AUC) change from baseline of brief fatigue inventory (BFI) as the primary endpoint. Fatigue-related quality of life, stress, and adverse events were evaluated as secondary endpoints. Results: In the full analysis group, KRG up to 16 weeks improved CRF by the mean AUC change from baseline of BFI compared to placebo, particularly in "Mood" and "Walking ability" (P = 0.038, P = 0.023, respectively). In the per-protocol group, KRG led to improved CRF in the global BFI score compared with the placebo (P = 0.019). Specifically, there were improvements in "Fatigue right now," "Mood," "Relations with others," "Walking ability," and "Enjoyment of life" at 16 weeks (P = 0.045, P = 0.006, P = 0.028, P = 0.003, P = 0.036, respectively). In subgroups of female patients, >60 years old, with high compliance (>80%) or more baseline fatigue, the beneficial effects of KRG were more enhanced than that of placebo. Although neutropenia was more frequent in KRG than placebo, the incidence of all adverse events was similar. Conclusions: KRG could be safely combined with mFOLFOX-6 chemotherapy in colorectal cancer patients, and reduced CRF compared with placebo. (C) 2020 The Author(s). Published by Elsevier Ltd. ⓘ Kim, Jin Won; Han, Sae Won; Cho, Jae Yong; Chung, Ik-Joo; Kim, Jong Gwang; Lee, Kyung Hee; Park, Keon Uk; Baek, Sun Kyung; Oh, Sang Cheul; Lee, Myung Ah; Oh, Doyeun; Shim, Byoungyong; Ahn, Joong Bae; Shin, Dongbok; Lee, Jae Won; Kim, Yeul Hong ⓘ Seoul Natl Univ, Bundang Hosp, Dept Internal Med, Coll Med, Seongnam, South Korea; Seoul Natl Univ, Seoul Natl Univ Hosp, Dept Internal Med, Coll Med, Seoul, South Korea; Yonsei Univ, GangNam Severance Hosp, Dept Internal Med, Coll Med, Seoul, South Korea; Chonnam Natl Univ, Hwasun Hosp, Dept Hematol Oncol, Coll Med, Hwasun, South Korea; Kyungpook Natl Univ, Dept Oncol Hematol, Sch Med, Daegu, South Korea; Yeungnam Univ Coll Med, Yeungnam Univ Med Ctr, Dept Internal Med, Daegu, Daegu, South Korea; Keimyung Univ, Dongsan Med Ctr, Coll Med, Dept Internal Med, Daegu, South Korea; Kyung Hee Univ, Sch Med, Dept Internal Med, Med Ctr, Seoul, South Korea; Korea Univ, Coll Med, Dept Internal Med, Guro Hosp, Seoul, South Korea; Catholic Univ Korea, Seoul St Marys Hosp, Dept Internal Med, Seoul, South Korea; CHA Univ, CHA Bundang Med Ctr, Dept Internal Med, Sch Med, Seongnam, South Korea; Catholic Univ Korea, St Vincents Hosp, Coll Med, Dept Internal Med, Suwon, South Korea; Yonsei Univ, Severance Hosp, Dept Internal Med, Coll Med, Seoul, South Korea; Gachon Univ, Gil Med Ctr, Dept Internal Med, Coll Med, Incheon, South Korea; Korea Univ, Dept Stat, Seoul, South Korea; Korea Univ, Coll Med, Dept Internal Med, Anam Hosp, Seoul, South Korea ⓘ ; Kim, Tae-You/J-2750-2012; Kim, Sung-Bae/JXL-8219-2024 ⓘ 55801992400; 8363968600; 36805119200; 15735604200; 34771414000; 57196250869; 55898683500; 36631425100; 55647062500; 35227488700; 7203001784; 8086955700; 7403019591; 56746442300; 57219322786; 7410200877 ⓘ yhk0215@korea.ac.kr; ⓘ EUROPEAN JOURNAL OF CANCER ⓘ EUR J CANCER ⓘ 0959-8049 1879-0852 130 SCIE ONCOLOGY ⓘ 2020 9.162 13.4 2.02 2025-06-25 ⓘ 45 47 Cancer-related fatigue; Korean red ginseng; mFOLFOX-6; Colorectal canoe ⓘ DOUBLE-BLIND TRIAL; BREAST-CANCER; PANAX-GINSENG; SYMPTOMS; METHYLPHENIDATE; SUPPLEMENTATION; DEPRESSION; SURVIVORS; WOMEN ⓘ Cancer-related fatigue; Colorectal cancer; Korean red ginseng; mFOLFOX-6 ⓘ Colorectal Neoplasms; Double-Blind Method; Fatigue; Female; Humans; Male; Middle Aged; Panax; Prognosis; Quality of Life; alanine aminotransferase; antineoplastic agent; aspartate aminotransferase; herbaceous agent; interleukin 1; interleukin 10; interleukin 2; interleukin 6; interleukin 8; placebo; tumor necrosis factor; adjuvant chemotherapy; adult; aged; alanine aminotransferase blood level; Article; aspartate aminotransferase blood level; cancer combination chemotherapy; cancer fatigue; cancer palliative therapy; cancer patient; cancer prognosis; colorectal cancer; constipation; controlled study; coughing; decreased appetite; diarrhea; double blind procedure; drug efficacy; drug safety; drug tolerability; dyspepsia; fatigue; female; ginseng; headache; human; hypertension; insomnia; Korean medicine; leukopenia; major clinical study; male; medication compliance; multicenter study; nausea; neutropenia; Perceived Stress Scale; peripheral neuropathy; phase 3 clinical trial; priority journal; quality of life; randomized controlled trial; side effect; stomatitis; thrombocytopenia; treatment duration; upper respiratory tract infection; vomiting; walking; chemistry; clinical trial; colorectal tumor; complication; fatigue; middle aged; Panax; prognosis; psychology ⓘ English 2020 2020-05 10.1016/j.ejca.2020.02.018 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ Reinterpretation of LHC results for new physics: status and recommendations after run 2 ⓘ We report on the status of efforts to improve the reinterpretation of searches and measurements at the LHC in terms of models for new physics, in the context of the LHC Reinterpretation Forum. We detail current experimental offerings in direct searches for new particles, measurements, technical implementations and Open Data, and provide a set of recommendations for further improving the presentation of LHC results in order to better enable reinterpretation in the future. We also provide a brief description of existing software reinterpretation frameworks and recent global analyses of new physics that make use of the current data. ⓘ Abdallah, Waleed; AbdusSalam, Shehu; Ahmadov, Azar; Ahriche, Amine; Alguero, Gael; Allanach, Benjamin C.; Araz, Jack Y.; Arbey, Alexandre; Arina, Chiara; Athron, Peter; Bagnaschi, Emanuele; Bai, Yang; Baker, Michael J.; Balazs, Csaba; Barducci, Daniele; Bechtle, Philip; Bharucha, Aoife; Buckley, Andy; Butterworth, Jonathan; Cai, Haiying; Campagnari, Claudio; Cesarotti, Cari; Chrzaszcz, Marcin; Coccaro, Andrea; Conte, Eric; Cornell, Jonathan M.; Corpe, Louie Dartmoor; Danninger, Matthias; Darme, Luc; Deandrea, Aldo; Desai, Nishita; Dillon, Barry; Doglioni, Caterina; Dolan, Matthew J.; Dutta, Juhi; Ellis, John R.; Ellis, Sebastian; Feickert, Matthew; Fernandez, Nicolas; Fichet, Sylvain; Flacke, Thomas; Fuks, Benjamin; Geiser, Achim; Genest, Marie-Helene; Ghalsasi, Akshay; Gonzalo, Tomas; Goodsell, Mark; Gori, Stefania; Gras, Philippe; Greljo, Admir; Guadagnoli, Diego; Heinemeyer, Sven; Heinrich, Lukas A.; Heisig, Jan; Hong, Deog Ki; Hryn'ova, Tetiana; Huitu, Katri; Ilten, Philip; Ismail, Ahmed; Jueid, Adil; Kahlhoefer, Felix; Kalinowski, Jan; Kamenik, Jernej F.; Kar, Deepak; Kats, Yevgeny; Khosa, Charanjit K.; Khoze, Valeri; Klingl, Tobias; Ko, Pyungwon; Kong, Kyoungchul; Kotlarski, Wojciech; Kraemer, Michael; Kraml, Sabine; Kulkarni, Suchita; Kvellestad, Anders; Lange, Clemens; Lassila-Perini, Kati; Lee, Seung J.; Lessa, Andre; Liu, Zhen; Lloret Iglesias, Lara; Lorenz, Jeanette M.; MacDonell, Danika; Mahmoudi, Farvah; Mamuzic, Judita; Marini, Andrea C.; Markowitz, Pete; Ruiz del Arbol, Pablo Martinez; Miller, David; Mitsou, Vasiliki A.; Moretti, Stefano; Nardecchia, Marco; Neshatpour, Siavash; Dao Thi Nhung; Osland, Per; Owen, Patrick H.; Panella, Orlando; Pankov, Alexander; Park, Myeonghun; Porod, Werner; Price, Darren D.; Prosper, Harrison; Raklev, Are; Reuter, Juergen; Reyes-Gonzalez, Humberto; Rizzo, Thomas; Robens, Tania; Rojo, Juan; Rosiek, Janusz Andrzej; Ruchayskiy, Oleg; Sanz, Veronica; Schmidt-Hoberg, Kai; Scott, Pat; Sekmen, Sezen; Sengupta, Dipan; Sexton-Kennedy, Elizabeth; Shao, Hua-Sheng; Shin, Seodong; Silvestrini, Luca; Singh, Ritesh; Sinha, Sukanya; Sonneveld, Jory; Stefaniak, Tim; Soreq, Yotam; Stark, Giordon H.; Thaler, Jesse; Torre, Riccardo; Torrente-Lujan, Emilio; Unel, Gokhan; Vignaroli, Natascia; Waltenberger, Wolfgang; Wardle, Nicholas; Watt, Graeme; Weiglein, Georg; White, Martin J.; Williamson, Sophie L.; Wittbrodt, Jonas; Wu, Lei; Wunsch, Stefan; You, Tevong; Zhang, Yang; Zurita, Jose ⓘ Harish Chandra Res Inst HBNI, Allahabad 211019, Uttar Pradesh, India; Cairo Univ, Fac Sci, Dept Math, Giza 12613, Egypt; Shahid Beheshti Univ, Dept Phys, Tehran, Iran; Baku State Univ, Dept Theoret Phys, AZ-1148 Baku, Azerbaijan; Abdus Salam Int Ctr Theoret Phys, I-134014 Trieste, Italy; ENS, Lab Phys Particules & Phys Stat, DZ-16050 Algiers, Algeria; Univ Grenoble Alpes, CNRS, Grenoble INR, LPSC IN2P3, F-38000 Grenoble, France; Univ Cambridge, DAMTR, Cambridge CB3 0WA, England; Concordia Univ, 7141 Sherbrooke St West, Montreal, PQ H4B 1R6, Canada; Univ Lyon 1, CNRS IN2P3, UMR IP21 5822, F-69622 Villeurbanne, France; European Org Nucl Res, CERN, Geneva, Switzerland; Catholic Univ Louvain, CP3, B-1348 Louvain La Neuve, Belgium; Monash Univ, Sch Phys & Astron, Melbourne, Vic 3800, Australia; Paul Scherrer Inst, CH-5232 Villigen, Switzerland; Univ Wisconsin, Dept Phys, Madison, WI 53706 USA; Univ Melbourne, Sch Phys, Melbourne, Vic 3010, Australia; Sapienza Univ Roma, Piazzale Aldo Moro 2, I-00185 Rome, Italy; Ist Nazl Fis Nucl, Sez Roma, Piazzale Aldo Moro 2, I-00185 Rome, Italy; Univ Bonn, Phys Inst, Nussallee 12, D-53115 Bonn, Germany; CNRS, UMR7332, CPT, F-13288 Marseille, France; Aix Marseille Univ, F-13288 Marseille, France; Univ Toulon & Var, F-13288 Marseille, France; Univ Glasgow, Sch Phys & Astron, Glasgow G12 8QQ, Lanark, Scotland; UCL, Dept Phys & Astron, London WC1E 6BT, England; Asia Pacific Ctr Theoret Phys, Pohang 790784, Gyeongbuk, South Korea; Univ Calif Santa Barbara, Dept Phys, Santa Barbara, CA 93016 USA; Harvard Univ, Ctr Fundamental Laws Nat, Cambridge, MA 02143 USA; Polish Acad Sci, Henryk Niewodniczanski Inst Nucl Phys, Krakow, Poland; Ist Nazl Fis Nucl, Sez Genova, Via Dodecaneso 33, I-116146 Genoa, Italy; Univ Strasbourg, CNRS, IPHC UMR 7178, Strasbourg, France; Univ Haute Alsace, Mulhouse, France; Univ Cincinnati, Dept Phys, Cincinnati, OH 45221 USA; Simon Fraser Univ, Dept Phys, Burnaby, BC V5A 1S6, Canada; Ist Nazl Fis Nucl, Lab Nazl Frascati, CP 13, I-100044 Frascati, Italy; Tata Inst Fundamental Res, Mumbai 400005, Maharashtra, India; Jozef Stefan Inst, Jamova Cesta 39, Ljubljana 1000, Slovenia; Lund Univ, Fysikum, Professorsgatan 1, S-22263 Lund, Sweden; Univ Hamburg, Inst Theoret Phys 2, D-22761 Hamburg, Germany; Kings Coll London, Dept Phys, London WC2R 2LS, England; Stanford Univ, SLAC Natl Accelerator Lab, Menlo Pk, CA USA; Mohammed V Univ Rabat, BP 8007-NU, Rabat, Morocco; Univ Illinois, Dept Phys, Urbana, IL 61801 USA; ICTP South Amer Inst Fundamental Res, Sao Paulo, Brazil; IFT UNESF, Sao Paulo, Brazil; Inst for Basic Sci Korea, Ctr Theoret Phys Universe, Daejeon 34126, South Korea; Sorbonne Univ, LPTHE, UMR 7589, F-75252 Paris 05, France; CNRS, F-75252 Paris 05, France; Inst Univ France, F-75005 Paris, France; Deutsch Elektronen Synchrotron DESY, Notkestt 85, D-22607 Hamburg, Germany; UC Santa Cruz, Santa Cruz Inst Particle Phys, Santa Cruz, CA 95064 USA; Univ Paris Saclay, CEA, IRFU, Gif Sur Yvette, France; USMB, CNRS, LAPTh, F-74941 Annecy Le Vieux, France; UGA, F-74941 Annecy Le Vieux, France; CSIC UC, Inst Fis Cantabria, Santander 39005, Spain; Spain Campus Int Excellence UAM CSIC, Madrid 28049, Spain; Inst Fis Teor UAM CSIC, Madrid 28049, Spain; Pusan Natl Univ, Dept Phys, Busan 46241, South Korea; Univ Grenoble Alpes, Univ Savoie Mt Blanc, CNRS, IN2P3 LAPP, Annecy, France; Univ Helsinki, Dept Phys, Helsinki 00014, Finland; Univ Helsinki, Helsinki Inst Phys, Helsinki 00014, Finland; Univ Birmingham, Sch Phys & Astron, Birmingham, W Midlands, England; Oklahoma State Univ, Dept Phys, Stillwater, OK 74078 USA; Konkuk Univ, Dept Phys, Seoul 05029, South Korea; Rhein Westfal TH Aachen, TTK, D-52056 Aachen, Germany; Univ Warsaw, Fac Phys, PL-02093 Warsaw, Poland; Univ Ljubljana, Fac Math & Phys, Ljubljana 1000, Slovenia; Univ Witwatersrand, Sch Phys, Johannesburg, South Africa; Ben Gurion Univ Negev, Dept Phys, IL-8410501 Beer Sheva, Israel; Univ Sussex, Dept Phys & Astron, Brighton BN1 9QH, E Sussex, England; Univ Durham, IPPI, Dept Phys, Durham DH1 3LE, England; Korea Inst Adv Study, Sch Phys, Seoul 02455, South Korea; Univ Kansas, Dept Phys & Astron, Lawrence, KS 66045 USA; Tech Univ Dresden, Inst Kern & Teilchenphys, D-01069 Dresden, Germany; Austrian Acad Sci, Inst Hochenergiephys, A-1050 Vienna, Austria; Univ Oslo, Dept Phys, N-0316 Oslo, Norway; Imperial Coll London, Dept Phys, London SW7 2AZ, England; Helsinki Inst Phys, Helsinki, Finland; Korea Univ, Dept Phys, Seoul 136713, South Korea; UFABC Santo Andre, Ctr Ciencias Nat & Humanas, BR-09210580 Santo Andre, SP, Brazil; Univ Maryland, Maryland Ctr Fundamental Phys, College Pk, MD 20742 USA; Ludwig Maximilians Univ Munchen, Coulombwall 1, D-85748 Garching, Germany; Univ Victoria, Victoria, BC V8P 5C2, Canada; Univ Valencia, Inst Fis Corpuscular, CSIC, Paterna 46980, Spain; MIT, Dept Phys, Cambridge, MA 02139 USA; Florida Int Univ, Miami, FL 33199 USA; Enrico Fermi Inst, Chicago, IL 60637 USA; Univ Chicago, Chicago, IL 60637 USA; Univ Southampton, Sch Phys & Astron, Southampton SO17 1BJ, Hants, England; Particle Phys Dept, STFC Rutherford Appleton Lab, Didcot OX11 0QX, Oxon, England; ICISE, Inst Interdisciplinary Res Sci & Educ, Quy Nhon 590000, Vietnam; Univ Bergen, Dept Phys & Technol, N-5020 Bergen, Norway; Univ Zurich, Phys Inst, CH-8057 Zurich, Switzerland; Ist Nazl Fis Nucl, Sez Perugia, I-106123 Perugia, Italy; Joint Inst Nucl Res, Dubna, Russia; Seoultech, Inst Convergence Fundamental Studies, Seoul 01811, South Korea; Seoultech, Sch Liberal Arts, Seoul 01811, South Korea; Univ Wurzburg, Inst Theoret Phys & Astrophys, Wurzburg, Germany; Univ Manchester, Dept Phys & Astron, Manchester M13 9PL, Lancs, England; Florida State Univ, Dept Phys, Tallahassee, FL 32306 USA; Rudjer Boskovic Inst, Bijenicka Cesta 54, Zagreb 10000, Croatia; Vrije Univ Amsterdam, Dept Phys & Astron, NL-1081 HV Amsterdam, Netherlands; Univ Copenhagen, Niels Bohr Inst, DK-2100 Copenhagen, Denmark; Univ Queensland, Sch Math & Phys, Brisbane, Qld 4072, Australia; Kyungpook Natl Univ, Dept Phys, Daegu, South Korea; Univ Calif San Diego, Dept Phys & Astron, San Diego, CA 92103 USA; Fermilab Natl Accelerator Lab, Batavia, IL 60510 USA; Jeonbuk Natl Univ, Dept Phys, Jeonju 54896, Jeonbuk, South Korea; IISER Kolkata, Dept Phys Sci, Mohanpur 741246, India; Univ Hamburg, Inst Expt Phys, D-22761 Hamburg, Germany; Technion Israel Inst Technol, Phys Dept, IL-3200003 Haifa, Israel; MIT, Ctr Theoret Phys, Cambridge, MA 02139 USA; Univ Murcia, Dept Phys, IFT, Murcia 30100, Spain; Univ Calif Irvine, Dept Phys & Astron, Irvine, CA USA; Univ Pisa, Dipartimento Fis E Fermi, I-56127 Pisa, Italy; INFN Pisa, I-56127 Pisa, Italy; Univ Adelaide, North Terrace, Adelaide, SA 5034, Australia; Karlsruhe Inst Technol, Inst Theoret Phys, D-76128 Karlsruhe, Germany; Lund Univ, Dept Astron & Theoret Phys, S-22362 Lund, Sweden; Nanjing Normal Univ, Dep Phys, Nanjing 210023, Peoples R China; Nanjing Normal Univ, Inst Theoret Phys, Nanjing 210023, Peoples R China; Univ Cambridge, Cavendish Lab, Cambridge CB3 0HE, England; Karlsruhe Inst Technol, Inst Nucl Phys, D-76344 Eggenstein Leopoldshafen, Germany; Karlsruhe Inst Technol, Inst Theoret Particle Phys, D-76128 Karlsruhe, Germany ⓘ ; Lee, Seung/F-9911-2011; Mitsou, Vasiliki/D-1967-2009; Kong, Kyoungchul/GXM-8803-2022; del Arbol, Pablo/Z-4358-2019; Rojo, Juan/B-4332-2018; Darmé, Luc/AAE-5618-2020; Jueid, Adil/AAR-6772-2020; Balazs, Csaba/A-6913-2008; Silvestrini, Luca/D-2342-2018; Dutta, Juhi/AAY-6548-2021; Bagnaschi, Emanuele/T-6401-2018; Torre, Riccardo/N-9558-2014; Ahriche, Amine/N-2175-2019; Scott, Pat/AAI-4306-2020; Sanz, Veronica/ABG-5480-2020; Price, Darren/E-6162-2012; Osland, Per/S-4094-2019; GORI, Stefania/AAB-4802-2022; Reyes-Gonzalez, Humberto/NDS-0287-2025; Sengupta, Dipan/ABE-9415-2020; Gonzalo, Tomas/AAH-3302-2019; Markowitz, Pete/AAC-3382-2020; Lessa, Andre/AAK-2194-2021; Lange, Clemens/AAL-6635-2020; Ismail, Ahmed/B-3825-2013; Pankov, Aleksandr/Y-6791-2018; Ahmadov, Deceased Azar/AAU-4148-2020; Fuks, Benjamin/KHZ-5471-2024; unel, gokhan/KFB-1065-2024; Lee, Seung J./F-9911-2011; Mamuzic, Judita/U-3509-2017; Torre, Riccardo/H-4337-2012; Heinemeyer, Sven/IYT-3040-2023; Neshatpour, Siavash/HJI-9335-2023; 张, 阳/GSD-8644-2022; Zurita, Jose/MTB-6503-2025; Greljo, Admir/F-1674-2015; Buckley, Andy/C-3603-2009; Robens, Tania/AAK-8280-2020; Lloret Iglesias, Lara/A-6349-2018; Kalinowski, Jan/D-8627-2013; Ellis, Sebastian/LPQ-4199-2024; Liu, Zhen/H-4121-2019; Coccaro, Andrea/AAB-6990-2021; Porod, Werner/NJS-5217-2025; Athron, Peter/AAR-4710-2021; Panella, Orlando/L-5359-2014; Reuter, Jürgen/ITT-0890-2023; Kats, Yevgeny/M-3419-2018; Kar, Deepak/N-1844-2014; , stefano.moretti/MZQ-7853-2025; Ruchayskiy, Oleg/E-3698-2015; Yang, Bai/B-9012-2009; Shehu, Abbas/HMW-1724-2023; Vignaroli, Natascia/G-4246-2017; Abdallah, Waleed/ABH-8845-2020; Khosa, Charanjit/AAQ-8443-2021; Waltenberger, Wolfgang/H-9330-2018; Arina, Chiara/L-1985-2014; Fichet, Sylvain/JOJ-5711-2023; Buckley, Andy/B-8362-2014 ⓘ 57144157800; 56962714600; 57203961366; 16232657200; 57219112128; 57205900533; 57195317411; 7801309249; 23033403500; 18036686800; 55062271400; 55338763300; 55461415800; 7004407572; 55654418800; 35226939400; 26421006500; 36491075400; 56435539400; 25630456800; 59886195500; 57205142380; 55240428200; 35620090000; 36170372600; 55292775300; 55212339400; 26221746900; 56460352700; 57217497414; 7102029021; 56688271500; 57202559542; 34167660200; 57213788037; 57203587466; 59785179000; 57201445884; 56297015300; 15042106200; 13403167800; 22734341300; 35313338100; 8678679600; 56317014300; 56374638900; 12767838800; 26664571200; 7005864683; 55819972500; 6506640024; 56248580900; 35317494100; 54881775700; 57219112794; 57223816152; 7004291971; 59629035200; 57219501613; 56993836000; 44661444900; 35314292400; 8873728900; 35277010000; 7003808244; 56094527800; 7006885662; 57194516987; 55509963600; 55412981500; 49561443500; 55827685000; 6602899609; 34875291600; 56674392700; 36554496200; 6505817089; 57196059803; 26324943800; 57554321800; 55985433400; 9744008200; 59794494600; 15837408400; 31967722400; 24556995000; 16067011300; 57200995016; 57202997980; 57190387217; 7103215482; 25959667700; 55350339700; 44260923500; 7004233521; 54396084000; 6602370718; 7006612537; 25937454400; 7006954548; 35224063900; 59150153600; 12799096300; 56256755000; 57197773967; 7005998161; 15122791200; 7103043723; 6603676861; 13204492100; 7004910942; 14421736100; 23983503000; 24172042700; 52365052800; 15835503600; 51462106000; 24469097100; 6701811784; 59088301600; 9276624400; 56437718500; 45161936300; 42962507200; 57109894400; 37361523200; 35788485600; 56264345000; 6603681553; 35208966000; 23010348400; 37087808300; 8895392000; 7004329774; 57220817759; 56396147900; 57193434708; 55714311000; 56297613200; 55789991200; 55945220500; 14072237300 ⓘ Andy.Buckley@glasgow.ac.uk;sabine.kraml@lpsc.in2p3.fr;pat.scott@uq.edu.au;n.wardle09@imperial.ac.uk; ⓘ SCIPOST PHYSICS ⓘ SCIPOST PHYS ⓘ 2542-4653 9 2 SCIE PHYSICS, MULTIDISCIPLINARY ⓘ 2020 6.093 13.4 2.02 2025-06-25 ⓘ 44 35 ⓘ ROOT-S=13 TEV; SEARCH; MODEL ⓘ ⓘ ⓘ English 2020 2020-08 10.21468/scipostphys.9.2.022 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Review ⓘ Resolvins: Potent Pain Inhibiting Lipid Mediators via Transient Receptor Potential Regulation ⓘ Chronic pain is a serious condition that occurs in the peripheral nervous system (PNS) and the central nervous system (CNS). It is caused by inflammation or nerve damage that induces the release of inflammatory mediators from immune cells and/or protein kinase activation in neuronal cells. Both nervous systems are closely linked; therefore, inflammation or nerve damage in the PNS can affect the CNS (central sensitization). In this process, nociceptive transient receptor potential (TRP) channel activation and expression are increased. As a result, nociceptive neurons are activated, and pain signals to the brain are amplified and prolonged. In other words, suppressing the onset of pain signals in the PNS can suppress pain signals to the CNS. Resolvins, endogenous lipid mediators generated during the resolution phase of acute inflammation, inhibit nociceptive TRP ion channels and alleviate chronic pain. This paper summarizes the effect of resolvins in chronic pain control and discusses future scientific perspectives. Further study on the effect of resolvins on neuropathic pain will expand the scope of pain research. ⓘ Roh, Jueun; Go, Eun Jin; Park, Jin-Woo; Kim, Yong Ho; Park, Chul-Kyu ⓘ Gachon Univ, Coll Med, Gachon Pain Ctr, Incheon, South Korea; Gachon Univ, Coll Med, Dept Physiol, Incheon, South Korea; Kyungpook Natl Univ, Sch Dent, Dept Periodontol, Daegu, South Korea ⓘ Park, Jinwoo/AAD-1328-2022 ⓘ 57217002035; 57219854252; 56815883000; 35314300700; 55821963900 ⓘ euro16@gachon.ac.kr;pck0708@gachon.ac.kr; ⓘ FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY ⓘ FRONT CELL DEV BIOL ⓘ 2296-634X 8 SCIE CELL BIOLOGY;DEVELOPMENTAL BIOLOGY ⓘ 2020 6.684 13.4 0.47 2025-06-25 ⓘ 21 19 resolvins; TRP channel; pain; inflammatory; neuropathy ⓘ SPINAL DORSAL-HORN; PERIPHERAL-NERVE INJURY; CORD SYNAPTIC PLASTICITY; ROOT GANGLION NEURONS; ION-CHANNEL TRPA1; NEUROPATHIC PAIN; SENSORY NEURONS; INFLAMMATORY PAIN; MICROGLIAL ACTIVATION; CENTRAL SENSITIZATION ⓘ inflammatory; neuropathy; pain; resolvins; TRP channel ⓘ lipid; omega 3 fatty acid; resolvin; transient receptor potential channel; unclassified drug; biosynthesis; central nervous system; chronic pain; depression; epoxidation; exocytosis; extracellular trap; fever; gene expression; human; hyperalgesia; hyperthermia; hypothermia; IC50; inflammation; inflammatory pain; mechanical hyperalgesia; nerve cell plasticity; nerve injury; nerve transection; neuropathic pain; neuropathy; nociception; nociceptive pain; nonhuman; pain receptor; peripheral nervous system; phagocytosis; postoperative pain; protein phosphorylation; receptor potential; Review; sensory nerve cell; signal processing; signal transduction; spinal ganglion; temperature sense; trigeminus ganglion; upregulation ⓘ English 2020 2020-12-10 10.3389/fcell.2020.584206 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ The Role of HDAC6 in TDP-43-Induced Neurotoxicity and UPS Impairment ⓘ Transactive response DNA-binding protein 43 (TDP-43)-induced neurotoxicity is currently well recognized as a contributor to the pathology of amyotrophic lateral sclerosis (ALS), and the deposition of TDP-43 has been linked to other neurodegenerative diseases, such as frontotemporal lobar degeneration (FTLD) and Alzheimer's disease (AD). Recent studies also suggest that TDP-43-induced neurotoxicity is associated with ubiquitin-proteasome system (UPS) impairment. Histone deacetylase 6 (HDAC6) is a well-known cytosolic deacetylase enzyme that suppresses the toxicity of UPS impairment. However, the role of HDAC6 in TDP-43-induced neurodegeneration is largely unknown. In this study, we found that HDAC6 overexpression decreased the levels of insoluble and cytosolic TDP-43 protein in TDP-43-overexpressing N2a cells. In addition, TDP-43 overexpression upregulated HDAC6 protein and mRNA levels, and knockdown of Hdac6 elevated the total protein level of TDP-43. We further found that HDAC6 modulates TDP-43-induced UPS impairment via the autophagy-lysosome pathway (ALP). We also showed that TDP-43 promoted a short lifespan in flies and that the accumulation of ubiquitin aggregates and climbing defects were significantly rescued by overexpression of HDAC6 in flies. Taken together, these findings suggest that HDAC6 overexpression can mitigate neuronal toxicity caused by TDP-43-induced UPS impairment, which may represent a novel therapeutic approach for ALS. ⓘ Lee, Shinrye; Kwon, Younghwi; Kim, Seyeon; Jo, Myungjin; Jeon, Yu-Mi; Cheon, Mookyung; Lee, Seongsoo; Kim, Sang Ryong; Kim, Kiyoung; Kim, Hyung-Jun ⓘ Korea Brain Res Inst, Dementia Res Grp, Daegu, South Korea; DGIST, Dept Brain & Cognit Sci, Daegu, South Korea; Korea Basic Sci Inst KBSI, Gwangju Ctr, Gwangju, South Korea; Kyungpook Natl Univ, Inst Life Sci & Biotechnol, BK21 Plus KNU Creat BioRes Grp, Sch Life Sci, Daegu, South Korea; Kyungpook Natl Univ, Brain Sci & Engn Inst, Daegu, South Korea; Soonchunhyang Univ, Dept Med Biotechnol, Asan, South Korea ⓘ ; Cheon, Mookyung/AIE-0782-2022 ⓘ 17342428400; 57194168806; 57194160625; 57189727853; 36158214700; 7003620854; 57192516634; 56486163800; 57202307555; 57191717907 ⓘ kiyoung2@sch.ac.kr;kijang1@kbri.re.kr; ⓘ FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY ⓘ FRONT CELL DEV BIOL ⓘ 2296-634X 8 SCIE CELL BIOLOGY;DEVELOPMENTAL BIOLOGY ⓘ 2020 6.684 13.4 0.98 2025-06-25 ⓘ 20 18 tar DNA-binding protein 43; histone deacetylase 6; ubiquitin-proteasome system; amyotrophic lateral sclerosis; autophagy-lysosome pathway ⓘ UBIQUITIN-PROTEASOME SYSTEM; OXIDATIVE STRESS; DROSOPHILA MODEL; GENE-EXPRESSION; MOUSE MODEL; TDP-43; PROTEIN; AUTOPHAGY; PATHOGENESIS; AGGREGATION ⓘ amyotrophic lateral sclerosis; autophagy-lysosome pathway; histone deacetylase 6; tar DNA-binding protein 43; ubiquitin-proteasome system ⓘ histone deacetylase 6; messenger RNA; proteasome; TAR DNA binding protein; ubiquitin; adult; animal cell; animal experiment; animal model; Article; autophagy (cellular); controlled study; fruit fly model; gene knockdown; gene overexpression; male; mouse; Neuro-2a cell line; neurotoxicity; nonhuman; protein aggregation; protein localization; TDP 43 proteinopathy; upregulation ⓘ English 2020 2020-11-17 10.3389/fcell.2020.581942 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ Tylosin exposure reduces the susceptibility of Salmonella Typhimurium to florfenicol and tetracycline ⓘ Background Antibiotics exposure has been implicated in the emergence of bacterial strains that are resistant to structurally related or unrelated antibiotics. Tylosin is a macrolide antibiotic that has been administered to treat respiratory pathogenic bacteria in swine. Thus, this study was undertaken to evaluate the impact of exposure to a constant (3 mu g/mL) and decreasing concentrations of tylosin on the susceptibility of Salmonella enterica serovar Typhimurium to various antibiotics. Results S. Typhimurium strains exposed to tylosin for 12 and 24 h in the in vitro dynamic model demonstrated at least an eight-fold increase in the minimum inhibitory concentrations (MICs) of florfenicol and tetracycline. Exposure to tylosin extended the lag-time of the growth curve and enhanced the generation of reactive oxygen species. Gene expression analysis demonstrated up-regulation of the acrAB and tolC Salmonella efflux pump genes and its global regulators (marA and soxS). Besides, the expression of ompC gene was down-regulated in tylosin exposed S. Typhimurium. Conclusion Exposure to decreasing concentrations of tylosin could reduce the susceptibility of S. Typhimurium to florfenicol and tetracycline. ⓘ Mechesso, Abraham Fikru; Park, Seung-Chun ⓘ Kyungpook Natl Univ, Coll Vet Med, Lab Vet Pharmacokinet & Pharmacodynam, Daegu 41566, South Korea ⓘ Mechesso, Abraham/AAU-7158-2021; Park, Seung-Chun/AAV-3388-2021 ⓘ 56811692500; 7501832396 ⓘ parksch@knu.ac.kr; ⓘ BMC VETERINARY RESEARCH ⓘ BMC VET RES ⓘ 1746-6148 16 1 SCIE VETERINARY SCIENCES ⓘ 2020 2.741 13.4 0.92 2025-06-25 ⓘ 6 7 Florfenicol; S; Typhimurium; Susceptibility; Tetracycline; Tylosin ⓘ MULTIDRUG-RESISTANCE; GROWTH PROMOTER; ANTIBIOTICS; EFFLUX; CIPROFLOXACIN; MUTATION; STRAINS; GENES; GYRA ⓘ Florfenicol; S. Typhimurium; Susceptibility; Tetracycline; Tylosin ⓘ Anti-Bacterial Agents; Bacterial Proteins; Carrier Proteins; Drug Resistance, Multiple, Bacterial; Gene Expression Regulation, Bacterial; Microbial Sensitivity Tests; Salmonella typhimurium; Tetracycline; Thiamphenicol; Tylosin; florfenicol; marbofloxacin; outer membrane protein; reactive oxygen metabolite; streptomycin; sulfamethoxazole; superoxide; tetracycline; trimethoprim; tylosin; antiinfective agent; bacterial protein; carrier protein; florfenicol; tetracycline; thiamphenicol; tylosin; antibiotic resistance; Article; bacterial gene; bacterial growth; bacterium culture; broth dilution; colony forming unit; controlled study; disk diffusion; down regulation; drug exposure; gene expression; growth curve; in vitro study; minimum inhibitory concentration; nonhuman; real time polymerase chain reaction; RNA extraction; Salmonella enterica serovar Typhimurium; drug effect; gene expression regulation; genetics; metabolism; microbial sensitivity test; multidrug resistance; Salmonella enterica serovar Typhimurium ⓘ English 2020 2020-01-28 10.1186/s12917-020-2246-5 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ An analysis of implicit time integration schemes for wave propagations ⓘ The objective of this paper is to investigate the optimal use of some time integration schemes for the solution of transient wave propagation problems. We study the accuracy characteristics of the trapezoidal rule and the rho(infinity)-Bathe scheme considering various parameter sets (rho(infinity), gamma, CFL) with both consistent and lumped mass matrices. The rho(infinity)-Bathe scheme includes also the standard-, beta(1)/beta(2)-Bathe methods, the Newmark method and the trapezoidal rule. The study of the numerical dispersion shows that in the case of the consistent mass matrix, the rho(infinity)-Bathe scheme with a proper setting of (rho(infinity), gamma) and standard Bathe scheme provide similar dispersion errors and outperform the trapezoidal rule. The optimal CA. number of the rho(infinity)-Bathe scheme is about 25% larger than for the standard Bathe scheme. In addition, we show that using a lumped mass matrix and proper values of rho(infinity) < 0, gamma and CFL in the rho(infinity)-Bathe scheme, more accurate solutions can be obtained in some analyses. (C) 2019 Elsevier Ltd. All rights reserved. ⓘ Kwon, Sun-Beom; Bathe, Klaus-Jurgen; Noh, Gunwoo ⓘ Hyundai Heavy Ind, Ulsan 44032, South Korea; MIT, 77 Massachusetts Ave, Cambridge, MA 02139 USA; Kyungpook Natl Univ, Daegu 41566, South Korea ⓘ ⓘ 57212424084; 7006653504; 55010264000 ⓘ gunwoo@knu.ac.kr; ⓘ COMPUTERS & STRUCTURES ⓘ COMPUT STRUCT ⓘ 0045-7949 1879-2243 230 SCIE COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS;ENGINEERING, CIVIL ⓘ 2020 4.578 13.5 2.5 2025-06-25 ⓘ 46 47 Wave propagations; Finite elements; Direct time integrations; Implicit schemes; Trapezoidal rule, Newmark and Bathe methods; Numerical dispersion ⓘ UNCONDITIONALLY STABLE IMPLICIT; IMPROVED NUMERICAL DISSIPATION; STRUCTURAL DYNAMICS; EXPLICIT REPRESENTATIONS; DISCRETIZED OPERATORS; GENERALIZED FAMILY; THEORETICAL DESIGN; ARBITRARY ORDER; NEW-GENERATION; ALGORITHMS ⓘ Direct time integrations; Finite elements; Implicit schemes; Numerical dispersion; Trapezoidal rule, Newmark and Bathe methods; Wave propagations ⓘ Crack propagation; Finite element method; Numerical methods; Wave propagation; Consistent-mass matrices; Direct time integration; Implicit schemes; Implicit time integration; Newmark; Numerical dispersions; Time-integration scheme; Transient wave propagation; Dispersion (waves) ⓘ English 2020 2020-04-01 10.1016/j.compstruc.2019.106188 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ Identification of keratinases from Fervidobacterium islandicum AW-1 using dynamic gene expression profiling ⓘ Keratin degradation is of great interest for converting agro-industrial waste into bioactive peptides and is directly relevant for understanding the pathogenesis of superficial infections caused by dermatophytes. However, the mechanism of this process remains unclear. Here, we obtained the complete genome sequence of a feather-degrading, extremely thermophilic bacterium, Fervidobacterium islandicum AW-1 and performed bioinformatics-based functional annotation. Reverse transcription PCR revealed that 57 putative protease-encoding genes were differentially expressed in substrate-dependent manners. Consequently, 16 candidate genes were highly expressed under starvation conditions, when keratin degradation begun. Subsequently, the dynamic expression profiles of these 16 selected genes in response to feathers, as determined via quantitative real-time PCR, suggested that they included four metalloproteases and two peptidases including an ATP-dependent serine protease, all of which might act as key players in feather decomposition. Furthermore, in vitro keratinolytic assays supported the notion that recombinant enzymes enhanced the decomposition of feathers in the presence of cell extracts. Therefore, our genome-based systematic and dynamic expression profiling demonstrated that these identified metalloproteases together with two additional peptidases might be primarily associated with the decomposition of native feathers, suggesting that keratin degradation can be achieved via non-canonical catalysis of several membrane-associated metalloproteases in cooperation with cytosolic proteases. ⓘ Kang, Eunju; Jin, Hyeon-Su; La, Jae Won; Sung, Jae-Yoon; Park, Soo-Young; Kim, Won-Chan; Lee, Dong-Woo ⓘ Kyungpook Natl Univ, Sch Appl Biosci, Daegu 41566, South Korea; Yonsei Univ, Dept Biotechnol, Seoul 03722, South Korea ⓘ ; Lee, Jeong-Hoon/Q-1055-2018 ⓘ 57211519636; 56997924500; 57211523438; 57211241011; 57211524208; 55492085000; 57195068659 ⓘ leehicam@yonsei.ac.kr; ⓘ MICROBIAL BIOTECHNOLOGY ⓘ MICROB BIOTECHNOL ⓘ 1751-7915 13 2 SCIE BIOTECHNOLOGY & APPLIED MICROBIOLOGY;MICROBIOLOGY ⓘ 2020 5.813 13.5 1.6 2025-06-25 ⓘ 29 31 ⓘ MICROBIAL KERATINASES; ALPHA-KERATIN; EXTRACELLULAR KERATINASE; STREPTOMYCES-PACTUM; PURIFICATION; PROTEASES; DECOMPOSITION; GENOME; TIME; METALLOPROTEASE ⓘ ⓘ Animals; Bacteria; Feathers; Gene Expression Profiling; Peptide Hydrolases; adenosine triphosphate dependent proteinase; keratin; keratinase; metalloproteinase; peptidase; keratinase; peptide hydrolase; Article; bacterial gene; bacterial genome; bacterial strain; bioinformatics; catalysis; controlled study; cytosol; enzyme degradation; Fervidobacterium; Fervidobacterium islandicum; gene expression profiling; in vitro study; nonhuman; real time polymerase chain reaction; reverse transcription polymerase chain reaction; whole genome sequencing; animal; bacterium; feather; gene expression profiling; genetics ⓘ English 2020 2020-03 10.1111/1751-7915.13493 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ Antibacterial Drug-Release Polydimethylsiloxane Coating for 3D-Printing Dental Polymer: Surface Alterations and Antimicrobial Effects ⓘ Polymers are the most commonly used material for three-dimensional (3D) printing in dentistry; however, the high porosity and water absorptiveness of the material adversely influence biofilm formation on the surface of the 3D-printed dental prostheses. This study evaluated the effects of a newly developed chlorhexidine (CHX)-loaded polydimethylsiloxane (PDMS)-based coating material on the surface microstructure, surface wettability and antibacterial activity of 3D-printing dental polymer. First, mesoporous silica nanoparticles (MSN) were used to encapsulate CHX, and the combination was added to PDMS to synthesize the antibacterial agent-releasing coating substance. Then, a thin coating film was formed on the 3D-printing polymer specimens using oxygen plasma and thermal treatment. The results show that using the coating substance significantly reduced the surface irregularity and increased the hydrophobicity of the specimens. Remarkably, the culture media containing coated specimens had a significantly lower number of bacterial colony formation units than the noncoated specimens, thereby indicating the effective antibacterial activity of the coating. ⓘ Mai, Hang-Nga; Hyun, Dong Choon; Park, Ju Hayng; Kim, Do-Yeon; Lee, Sang Min; Lee, Du-Hyeong ⓘ Kyungpook Natl Univ, Inst Translat Res Dent, Daegu 41940, South Korea; Kyungpook Natl Univ, Dept Polymer Sci & Engn, Daegu 41566, South Korea; Kyungpook Natl Univ, Sch Dent, Dept Pharmacol, Daegu 41940, South Korea; Kyungpook Natl Univ, Sch Dent, Dept Prosthodont, Daegu 41940, South Korea ⓘ Kim, Do-Yeon/AET-3021-2022; Park, Jung Hwan/AAA-1951-2022; Mai, Hang-Nga/Q-9865-2018 ⓘ 56964780900; 15834575400; 57189227357; 57203012542; 57213176293; 35770948000 ⓘ maihangnga1403@knu.ac.kr;dong.hyun@knu.ac.kr;pjh99279@naver.com;dykim82@knu.ac.kr;leeyang2324@naver.com;deweylee@knu.ac.kr; ⓘ PHARMACEUTICALS ⓘ PHARMACEUTICALS-BASE ⓘ 1424-8247 13 10 SCIE CHEMISTRY, MEDICINAL;PHARMACOLOGY & PHARMACY ⓘ 2020 5.863 13.6 1.72 2025-06-25 ⓘ 29 30 3D-printing; dental polymer; antibacterial agent; coating; mesoporous silica nanoparticles; polydimethylsiloxane ⓘ FREE-ENERGY; CHLORHEXIDINE; CHALLENGES; OPTIONS; SILICA ⓘ 3D-printing; Antibacterial agent; Coating; Dental polymer; Mesoporous silica nanoparticles; Polydimethylsiloxane ⓘ dental material; dimeticone; mesoporous silica nanoparticle; oxygen; polymer; antimicrobial activity; Article; coating (procedure); colony formation; controlled study; drug release; encapsulation; hydrophobicity; material state; nonhuman; process development; surface property; synthesis; three dimensional printing ⓘ English 2020 2020-10 10.3390/ph13100304 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ Dyslipidemia in pediatric CKD patients: results from KNOW-PedCKD (KoreaN cohort study for Outcomes in patients With Pediatric CKD) ⓘ Background Pediatric as well as adult patients with chronic kidney disease (CKD) are susceptible to cardiovascular disease (CVD) events, which increase their mortality. Dyslipidemia is thought to be one of the most important contributing risk factors for developing CVD. This study aimed to evaluate the prevalence of dyslipidemia and assess clinical and laboratory risk factors associated with dyslipidemia in East Asian pediatric patients with CKD. Methods From April 2011 to April 2016, 469 patients with CKD aged < 20 years were enrolled in KNOW-PedCKD (the KoreaN cohort study for Outcomes in patients With Pediatric Chronic Kidney Disease); 356 patients were included in the final analysis. Using the baseline data of the cohort cross-sectionally, a multivariable logistic regression analysis was performed to assess the risk factors for dyslipidemia; a subanalysis for each lipid abnormality was also done. Results The prevalence of dyslipidemia was 61.5% (n = 219). For dyslipidemia, nephrotic range proteinuria and 25-hydroxyvitamin D deficiency significantly increased the adjusted odds ratio. In the subanalysis, glomerulonephropathy as the origin of CKD and nephrotic range proteinuria significantly increased the risks for high total cholesterol and high low-density lipoprotein cholesterol. Overweight or obese body mass index z-score, elevated proteinuria, hypocalcemia, and 1,25-dihydroxyvitamin D deficiency were significantly associated with low high-density lipoprotein cholesterol. Glomerular filtration rate stage 3b or higher and hyperphosphatemia significantly increased the risk for high triglycerides. Conclusions Long-term data accumulation and prospective analysis are needed to clarify the relationship between CKD progression and dyslipidemia and to find additional risk factors for dyslipidemia. ⓘ Baek, Hee Sun; Kim, Seong Heon; Kang, Hee Gyung; Choi, Hyun Jin; Cheong, Hae Il; Ha, Il Soo; Han, Kyoung Hee; Cho, Hee Yeon; Shin, Jae Il; Park, Young Seo; Lee, Joo Hoon; Ahn, Yo Han; Park, Eujin; Cho, Min Hyun ⓘ Kyungpook Natl Univ, Sch Med, Dept Pediat, 130 Dongdeok Ro, Daegu 41944, South Korea; Pusan Natl Univ, Childrens Hosp, Dept Pediat, Yangsan, South Korea; Seoul Natl Univ, Childrens Hosp, Dept Pediat, Seoul, South Korea; Jeju Univ Hosp, Dept Pediat, Jeju, South Korea; Samsung Med Ctr, Dept Pediat, Seoul, South Korea; Severance Childrens Hosp, Dept Pediat, Seoul, South Korea; Asan Med Ctr, Dept Pediat, Seoul, South Korea; Seoul Natl Univ, Dept Pediat, Bundang Hosp, Seongnam, South Korea; Hallym Univ, Dept Pediat, Kangnam Sacred Heart Hosp, Seoul, South Korea ⓘ Cheong, Hae/J-5652-2012; Kim, Seong/AAD-8853-2020; SHIN, JAE IL/J-6922-2017; Park, Eujin/AAZ-5931-2020 ⓘ 56689379700; 57213778393; 7404071546; 55776937072; 34567974000; 7005904938; 58389645900; 15724272900; 57964880100; 56701214400; 37112404100; 57219957477; 56194662500; 7401727726 ⓘ chomh@knu.ac.kr; ⓘ PEDIATRIC NEPHROLOGY ⓘ PEDIATR NEPHROL ⓘ 0931-041X 1432-198X 35 8 SCIE PEDIATRICS;UROLOGY & NEPHROLOGY ⓘ 2020 3.714 13.6 0.83 2025-06-25 ⓘ 9 12 Dyslipidemia; Children; Chronic kidney disease; Cardiovascular disease; Cohort; Cholesterol; Triglycerides ⓘ CHRONIC KIDNEY-DISEASE; CLINICAL-PRACTICE GUIDELINES; RENAL-DISEASE; RISK-FACTORS; CHILDREN; ADOLESCENTS; MORTALITY; MANAGEMENT; MECHANISMS; ETIOLOGY ⓘ Cardiovascular disease; Children; Cholesterol; Chronic kidney disease; Cohort; Dyslipidemia; Triglycerides ⓘ Adolescent; Cardiovascular Diseases; Child; Child, Preschool; Cross-Sectional Studies; Dyslipidemias; Female; Glomerular Filtration Rate; Humans; Male; Prevalence; Prospective Studies; Renal Insufficiency, Chronic; Republic of Korea; Risk Factors; calcitriol; cholesterol; high density lipoprotein cholesterol; low density lipoprotein cholesterol; adolescent; Article; child; cholesterol blood level; chronic kidney failure; cohort analysis; cross-sectional study; disease duration; dyslipidemia; female; glomerulonephritis; glomerulus filtration rate; human; hyperphosphatemia; hypocalcemia; lipid analysis; major clinical study; male; obesity; prevalence; priority journal; proteinuria; risk assessment; risk factor; vitamin D deficiency; cardiovascular disease; chronic kidney failure; clinical trial; dyslipidemia; multicenter study; preschool child; prospective study; South Korea ⓘ English 2020 2020-08 10.1007/s00467-020-04545-z ⓘ 바로가기 바로가기 바로가기 바로가기
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