• Title/Summary/Keyword: labeling index

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Dietary Aloe Vera Gel Powder and Extract Inhibit Azoxymethane-induced Colorectal Aberrant Crypt Foci in Mice Fed a High-fat Diet

  • Chihara, Takeshi;Shimpo, Kan;Kaneko, Takaaki;Beppu, Hidehiko;Higashiguchi, Takashi;Sonoda, Shigeru;Tanaka, Miyuki;Yamada, Muneo;Abe, Fumiaki
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.2
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    • pp.683-687
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    • 2015
  • Aloe vera gel exhibits protective effects against insulin resistance as well as lipid-lowering and anti-diabetic effects. The anti-diabetic compounds in this gel were identified as Aloe-sterols. Aloe vera gel extract (AVGE) containing Aloe-sterols has recently been produced using a new procedure. We previously reported that AVGE reduced large-sized intestinal polyps in Apc-deficient Min mice fed a high fat diet (HFD), suggesting that Aloe vera gel may protect against colorectal cancer. In the present study, we examined the effects of Aloe vera gel powder (AVGP) and AVGE on azoxymethane-induced colorectal preneoplastic aberrant crypt foci (ACF) in mice fed a HFD. Male C57BL/6J mice were given a normal diet (ND), HFD, HFD containing 0.5% carboxymethyl cellulose solution, which was used as a solvent for AVGE (HFDC), HFD containing 3% or 1% AVGP, and HFDC containing 0.0125% (H-) or 0.00375% (L-) AVGE. The number of ACF was significantly lower in mice given 3% AVGP and H-AVGE than in those given HFD or HFDC alone. Moreover, 3% AVGP, H-AVGE and L-AVGE significantly decreased the mean Ki-67 labeling index, assessed as a measure of cell proliferation in the colonic mucosa. In addition, hepatic phase II enzyme glutathione S-transferase mRNA levels were higher in the H-AVGE group than in the HFDC group. These results suggest that both AVGP and AVGE may have chemopreventive effects on colorectal carcinogenesis under the HFD condition. Furthermore, the concentration of Aloe-sterols was similar between 3% AVGP and H-AVGE, suggesting that Aloe-sterols were the main active ingredients in this experiment.

Suppressive Effect of Zinc on the Formation of Colonic Preneoplastic Lesions in the Mouse Fed High Levels of Dietary Iron

  • Park, Hyun-Ji;Kang, Bong-Su;Kim, Dang-Young;Yoon, Ja-Seon;Jeong, Jae-Hwang;Nam, Sang-Yoon;Yun, Young-Won;Kim, Jong-Soo;Lee, Beom-Jun
    • Toxicological Research
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    • v.28 no.1
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    • pp.39-49
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    • 2012
  • We investigated the effect of zinc on the formation of colonic aberrant crypt foci induced by azoxymethane (AOM) followed by dextran sodium sulfate (DSS) in mice with high iron diet (HFe; 450 ppm iron). Sixweek old ICR mice were fed on high iron diets with combination of three different levels of zinc in diets, low-zinc (LZn; 0.01 ppm), medium-zinc (MZn; 0.1 ppm), and high-zinc (HZn; 1 ppm) for 12 weeks. Animals were received weekly intraperitoneal injections of AOM (10 mg/kg B.W. in saline) for 3 weeks followed by 2% DSS (molecular weight 36,000~50,000) in the drinking water for a week. To confirm the iron storage in the body, the hepatic iron concentration has been determine chemically and compared with histological assessment visualized by Prussian blue reaction. Aberrant crypt (AC) and aberrant crypt foci (ACF) were analyzed in the colonic mucosa of mouse fed high dietary iron. Superoxide dismutase (SOD) activity and thiobarbituric acid-reactive substances (TBARS) level were also investigated. Apoptosis in the preneoplastic lesion was determined by terminal deoxynucleotidyl transferase-mediated dUTP nickend labeling (TUNEL). In addition, immunohistochemistry of ${\beta}$-catenin was also performed on the mucous membrane of colon. The number of large ACF (${\geq}4$ AC/ACF), which possess greater tumorigenic potential, was significantly lower in MZn and HZn groups compared with LZn group. Cytosolic SOD activity in the liver was significantly higher in HZn group compared with LZn group. Hepatic MDA level was decreased significantly in HZn group compared with MZn and LZn groups. Apoptotic index was significantly higher in HZn group. Taken together, these findings indicate that dietary zinc might exert a protective effect against colonic preneoplastic lesion induced by AOM/DSS in ICR mice with high iron status, and suggest that dietary supplement of zinc might play a role in suppressing colon carcinogenesis in mice.

Correlation of Preoperative Ki67 and Serum CA15.3 Levels with Outcome in Early Breast Cancers - a Multi Institutional Study

  • Rasmy, A;Abozeed, W;Elsamany, S;El Baiomy, M;Nashwa, A;Amrallah, A;Hasaan, E;Alzahrani, A;Faris, M;Alsaleh, K;AlFaraj, A
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.7
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    • pp.3595-3600
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    • 2016
  • Background: To investigate the association between preoperative pathological Ki-67 labeling index and serum tumor marker cancer antigen 15-3 (CA 15-3) with clinic-pathological parameters and treatment outcomes in early breast cancer. Materials and Methods: A retrospective study at 4 cancer centers in Saudi Arabia and Egypt was performed. Data were collected for female patients diagnosed with unilateral early breast cancer between March 2010 and October 2013. Cases treated with neoadjuvant chemotherapy (NACT) followed by surgery and radiotherapy were included. NACT included 6-8 cycles of anthracycline and taxane based regimens. Trastuzumab and hormonal treatments were added according to HER2 and hormone receptor status. Baseline serum CA15.3 and pathological Ki67 levels were evaluated and correlated with disease free survival (DFS) and overall survival (OS). Results: A total of 280 pts was included. The median age was 49 years (38-66 y) and median overall survival was 35 (20-38) months (mo). Estrogen receptors (ER), progesterone receptors (PR) and HER 2 receptors were positive in 233 (83.2%), 198 (70%) and 65 cases (23.2%), respectively. High preoperative Ki67 and CA15.3 were noted in 177 (63.2%) and 131 (46.8%). A total of 45 (16%) patients had distal or local recurrence and 24 (8.6%) died of their disease. Most of the relapsed cases had high preoperative Ki-67 (n=41, 91%) and CA15.3 (n=28, 62%) values. All of the patients who died had a high Ki-67 but CA15.3 was high in 9 (37%) only. Mean DFS/OS in patients with high preoperative Ki-67 was 32 months /32 months as compared to 37 months/35 months in those with normal Ki-67 (p<0.001). Correlation of preoperative CA15.3 and survival was statistically not significant. Conclusions:Preoperative Ki-67 can be a predictive and prognostic marker. Higher levels are associated with poor DFS and OS in patients with early BC.

Association with Recurrence of Giant cell Tumor of Bone Between Immunohistochemical Marker (MCM3, Ki-67 and HH3) Expression Rate (골의 거대세포종양의 재발과 면역조직화학적 표지자(MCM3, Ki-67 그리고 HH3)의 발현율과의 연관성)

  • Ha, Jong-Kyoung;Jeong, Hoon;Kim, Yong-Ju;Lee, Kwan-Hee;Choi, Kyoung-Eob
    • The Journal of the Korean bone and joint tumor society
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    • v.13 no.2
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    • pp.67-74
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    • 2007
  • Purpose: To evaluate association of giant cell tumors recurrence between markers of proliferation cells (MCM3, Ki-67 and HH3) Materials and Methods: Ten case of giant cell tumor of bone were reviewed. The patients were six males and four females (mean age: 33 yrs). All patients were done operation after biopsy. The radiologic grading was determined according to Enneking grading system. The immunohistochemical stains of MCM3, HH3, and Ki-67 were done with Microarray block. Results: The three cases of 10 cases (30%) were recurred at same sites. Two case of recurrence was grade II according to radiologic features. The remaining case was grade I. The expression rate of immunohistochemical markers in radiologic grade 2 and 3 were more increased than grade 1. But there was not association between radiologic grading and proliferation of tumor cells because result data was not coherence. Mean MCM3 labeling index of non-recurred case was 11.2%, recurred case was 7.2%. Ki-67 was 12% vs. 8.9%, respectively and HH3 was 66.9 % vs. 75.4%, respectively. Thus there was no association between local recurrence and immunohistochemical Ki-67, MCM3 expression rate. But HH3 marker expression rate was increased in recurred cases compared to non-recurred cases. Conclusion: Our study suggests that HH3 immunohistochemical marker can be a useful prognostic factor.

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Enhanced antidiabetic efficacy and safety of compound K/β-cyclodextrin inclusion complex in zebrafish

  • Nam, Youn Hee;Le, Hoa Thi;Rodriguez, Isabel;Kim, Eun Young;Kim, Keonwoo;Jeong, Seo Yule;Woo, Sang Ho;Lee, Yeong Ro;Castaneda, Rodrigo;Hong, Jineui;Ji, Min Gun;Kim, Ung-Jin;Hong, Bin Na;Kim, Tae Woo;Kang, Tong Ho
    • Journal of Ginseng Research
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    • v.41 no.1
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    • pp.103-112
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    • 2017
  • Background: 20(S)-Protopanaxadiol 20-O-D-glucopyranoside, also called compound K (CK), exerts antidiabetic effects that are mediated by insulin secretion through adenosine triphosphate (ATP)-sensitive potassium ($K_{ATP}$) channels in pancreatic ${\beta}$-cells. However, the antidiabetic effects of CK may be limited because of its low bioavailability. Methods: In this study, we aimed to enhance the antidiabetic activity and lower the toxicity of CK by including it with ${\beta}$-cyclodextrin (CD) (CD-CK), and to determine whether the CD-CK compound enhanced pancreatic islet recovery, compared to CK alone, in an alloxan-induced diabetic zebrafish model. Furthermore, we confirmed the toxicity of CD-CK relative to CK alone by morphological changes, mitochondrial damage, and TdT-UTP nick end labeling (TUNEL) assays, and determined the ratio between the toxic and therapeutic dose for both compounds to verify the relative safety of CK and CD-CK. Results: The CD-CK conjugate ($EC_{50}=2.158{\mu}M$) enhanced the recovery of pancreatic islets, compared to CK alone ($EC_{50}=7.221{\mu}M$), as assessed in alloxan-induced diabetic zebrafish larvae. In addition, CD-CK ($LC_{50} =20.68{\mu}M$) was less toxic than CK alone ($LC_{50}=14.24{\mu}M$). The therapeutic index of CK and CD-CK was 1.98 and 9.58, respectively. Conclusion: The CD-CK inclusion complex enhanced the recovery of damaged pancreatic islets in diabetic zebrafish. The CD-CK inclusion complex has potential as an effective antidiabetic efficacy with lower toxicity.

Evaluation of nutrient and food intake status, and dietary quality in Korean adults according to nutrition label utilization: Based on 2010-2011 Korean National Health and Nutrition Examination Survey (성인 남녀에서 영양표시 활용 정도에 따른 영양섭취 및 식사의 질 평가: 2010~2011 국민건강영양조사 자료를 이용하여)

  • Bae, Yun-Jung
    • Journal of Nutrition and Health
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    • v.47 no.3
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    • pp.193-205
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    • 2014
  • Purpose: This study was conducted in order to investigate nutrient and food intake status and dietary quality in Korean adults according to nutrition label utilization. Methods: We analyzed data from the combined 2010-2011 KNHANES (Korean National Health and Nutrition Examination Survey). The analysis included 8190 adults aged 19 to 64 years. In this study, according to nutrition label utilization, we classified the subjects according to the "non-utilization of nutrition label (NUNL)" group (male, n = 2716, female, n = 3147), "identification of nutrition label (INL)" group (male, n = 143, female, n = 330), and "Utilization of nutrition label (UNL)" group (male, n = 363, female, n = 1491). Nutrient and food group intake, NAR (nutrient adequacy ratio), MAR (mean adequacy ratio), and INQ (index of nutritional quality) were analyzed using data from the 24-recall method. Results: Results of this study showed that subjects in the NUNL group were significantly more likely to drink alcohol compared with the other two groups. The NUNL group showed a significantly higher frequency of consuming instant noodles, Soju (male), and carbonated drink (female) than the UNL group, whereas the NUNL group showed a significantly lower frequency of consuming milk, soymilk, and yogurt than the UNL group. In addition, regarding diet quality (NAR and INQ), significantly lower vitamin $B_2$, vitamin C, and calcium was observed in the NUNL group compared with the UNL group. For both male and female, significantly higher MAR was observed in the UNL group than in the NUNL group. The NUNL group showed significantly lower consumption of milk compared to the UNL group. Conclusion: Good dietary practice such as referring to nutrition labels and its influence can affect the quality of nutritional intake and selection of food, while it can also provide basic data for specific nutrition education regarding use of nutrition labeling.

Analyzing Research Trends of Domestic Artificial Intelligence Research Using Network Analysis and Dynamic Topic Modelling (네트워크 분석과 동적 토픽모델링을 활용한 국내 인공지능 분야 연구동향 분석)

  • Jung, Woojin;Oh, Chanhee;Zhu, Yongjun
    • Journal of the Korean Society for Library and Information Science
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    • v.55 no.4
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    • pp.141-157
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    • 2021
  • In this study, we aimed to understand research trends of domestic artificial intelligence research. To achieve the goal, we applied network analysis and dynamic topic modeling to domestic research papers on artificial intelligence. Among the papers that have been indexed in KCI (Korean Journal of Citation Index) by 2020, metadata and abstracts of 2,552 papers where the titles or indexed keywords include 'artificial intelligence' both in Korean and English were collected. Keyword, affiliation, subject field, and abstract were extracted and preprocessed for further analyses. We identified main keywords in the field by analyzing keyword co-occurrence networks as well as the degree and characteristics of research collaboration between domestic and foreign institutions and between industry and university by analyzing institutional collaboration networks. Dynamic topic modeling was performed on 1845 abstracts written in Korean, and 13 topics were obtained from the labeling process. This study broadens the understanding of domestic artificial intelligence research by identifying research trends through dynamic topic modeling from abstracts as well as the degree and characteristics of research collaboration through institutional collaboration networks from author affiliation information. In addition, the results of this study can be used by governmental institutions for making policies in accordance with artificial intelligence era.

Long-term Observation of Gastric Adenocarcinoma of Fundic Gland Mucosa Type before and after Helicobacter pylori Eradication: a Case Report

  • Takahashi, Keitaro;Ueno, Nobuhiro;Sasaki, Takahiro;Kobayashi, Yu;Sugiyama, Yuya;Murakami, Yuki;Kunogi, Takehito;Ando, Katsuyoshi;Kashima, Shin;Moriichi, Kentaro;Tanabe, Hiroki;Kamikokura, Yuki;Yuzawa, Sayaka;Tanino, Mishie;Okumura, Toshikatsu;Fujiya, Mikihiro
    • Journal of Gastric Cancer
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    • v.21 no.1
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    • pp.103-109
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    • 2021
  • Gastric adenocarcinoma of the fundic gland mucosa type (GA-FGM) was proposed as a new variant of gastric adenocarcinoma of the fundic gland type (GA-FG). However, at present, the influence of Helicobacter pylori and the speed of progression and degree of malignancy in GA-FGM remain unclear. Herein, we report the first case of intramucosal GA-FGM that was endoscopically observed before and after H. pylori eradication over 15 years. The lesion showed the same tumor size with no submucosal invasion and a low MIB-1 labeling index 15 years after its detection using endoscopy. The endoscopic morphology changed from 0-IIa before H. pylori eradication to 0-IIa+IIc and then 0-I after H. pylori eradication. These findings suggest that the unaltered tumor size reflects low-grade malignancy and slow growth, and that the endoscopic morphology is influenced by H. pylori eradication.

The Accuracy Assessment of Species Classification according to Spatial Resolution of Satellite Image Dataset Based on Deep Learning Model (딥러닝 모델 기반 위성영상 데이터세트 공간 해상도에 따른 수종분류 정확도 평가)

  • Park, Jeongmook;Sim, Woodam;Kim, Kyoungmin;Lim, Joongbin;Lee, Jung-Soo
    • Korean Journal of Remote Sensing
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    • v.38 no.6_1
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    • pp.1407-1422
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    • 2022
  • This study was conducted to classify tree species and assess the classification accuracy, using SE-Inception, a classification-based deep learning model. The input images of the dataset used Worldview-3 and GeoEye-1 images, and the size of the input images was divided into 10 × 10 m, 30 × 30 m, and 50 × 50 m to compare and evaluate the accuracy of classification of tree species. The label data was divided into five tree species (Pinus densiflora, Pinus koraiensis, Larix kaempferi, Abies holophylla Maxim. and Quercus) by visually interpreting the divided image, and then labeling was performed manually. The dataset constructed a total of 2,429 images, of which about 85% was used as learning data and about 15% as verification data. As a result of classification using the deep learning model, the overall accuracy of up to 78% was achieved when using the Worldview-3 image, the accuracy of up to 84% when using the GeoEye-1 image, and the classification accuracy was high performance. In particular, Quercus showed high accuracy of more than 85% in F1 regardless of the input image size, but trees with similar spectral characteristics such as Pinus densiflora and Pinus koraiensis had many errors. Therefore, there may be limitations in extracting feature amount only with spectral information of satellite images, and classification accuracy may be improved by using images containing various pattern information such as vegetation index and Gray-Level Co-occurrence Matrix (GLCM).

Review of Land Cover Classification Potential in River Spaces Using Satellite Imagery and Deep Learning-Based Image Training Method (딥 러닝 기반 이미지 트레이닝을 활용한 하천 공간 내 피복 분류 가능성 검토)

  • Woochul, Kang;Eun-kyung, Jang
    • Ecology and Resilient Infrastructure
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    • v.9 no.4
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    • pp.218-227
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    • 2022
  • This study attempted classification through deep learning-based image training for land cover classification in river spaces which is one of the important data for efficient river management. For this purpose, land cover classification analysis with the RGB image of the target section based on the category classification index of major land cover map was conducted by using the learning outcomes from the result of labeling. In addition, land cover classification of the river spaces was performed by unsupervised and supervised classification from Sentinel-2 satellite images provided in an open format, and this was compared with the results of deep learning-based image classification. As a result of the analysis, it showed more accurate prediction results compared to unsupervised classification results, and it presented significantly improved classification results in the case of high-resolution images. The result of this study showed the possibility of classifying water areas and wetlands in the river spaces, and if additional research is performed in the future, the deep learning based image train method for the land cover classification could be used for river management.