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        Metabolomics reveals abundant flavonoids in edible insect Antheraea pernyi

        Fu Xin,Chai Chun-Li,Li Yu-Ping,Li Peng,Luo Shi-Hong,Li Qun,Li Muwang,Liu Yan-Qun 한국응용곤충학회 2021 Journal of Asia-Pacific Entomology Vol.24 No.3

        The natural flavonoids in foods of plant origin have been well-characterized due to their beneficial biological properties. However, the information regarding the flavonoid compounds in edible insects remains severely limited. In the present study, we used a metabolomics approach to identify the flavonoid compounds in the Chinese oak silkworm, Antheraea pernyi Guérin-Méneville (Lepidoptera: Saturniidae), an traditional edible insect. Our study identified over 200 flavonoid metabolites in the larval midgut of A. pernyi with LC-ESI-MS/MS system. These flavonoid metabolites come from eight subclasses, including flavones (1 0 3), flavonols (34), flavonoids (28), flavanones (20), polyphenols (19), isoflavones (9), anthocyanins (9), and proanthocyanidins (4). The relative content of the flavones is the most abundant, with a value of 36.74% of the total. The top five flavonoid components in A. pernyi are hyperoside, isoquercitroside, tricin 7-O-hexoside, hesperetin 5-O-glucoside and protocatechuic acid, accounting for 51.17% of the total flavonoids. Hyperoside is the most abundant flavonoid compound (18.07% of the total) in A. pernyi. Our findings indicated targeted metabolomics is a useful approach to identify flavonoids in edible insects which contain abundant flavonoids than we already knew.

      • Creatine Kinase (CK)-MB-to-Total-CK Ratio: a Laboratory Indicator for Primary Cancer Screening

        Chang, Chih-Chun,Liou, Ching-Biau,Su, Ming-Jang,Lee, Yi-Chen,Liang, Chai-Ting,Ho, Jung-Li,Tsai, Huang-Wen,Yen, Tzung-Hai,Chu, Fang-Yeh Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.15

        Background: For the determination of creatine kinase (CK)-MB, the immunoinhibition method is utilized most commonly. However, the estimated CK-MB activity may be influenced by the presence of CK isoenzymes in some conditions like cancer. Thus, a CK-MB-to-total-CK ratio more than 1.0 could be found in such a situation. The study aimed to explore the relationship of cancer to high CK-MB-to-total-CK ratio. Materials and Methods: From January 2011 to December 2014, laboratory data on all CK-MB and total CK test requests were extracted at Far Eastern Memorial Hospital (88,415 requests). Patients with a CK-MB-to-total-CK ratio more than 1.0 were registered in this study. Clinical data including tumor location, tumor TNM stage and metastatic status were also collected. Results: A total of 846 patients were identified with a CK-MB-to-total-CK ratio more than 1.0. Of these, 339 (40.1%) were diagnosed with malignancies. The mean CK-MB-to-total-CK ratio was significantly higher in malignancy than in non-malignancy ($1.35{\pm}0.28$ vs $1.25{\pm}0.23$, p<0.001) groups. The most frequent malignancy with a CK-MB-to-total-CK ratio more than 1.0 was colorectal cancer ($1.42{\pm}0.28$, 16.5%, n=56), followed by lung cancer ($1.38{\pm}0.24$, 15.9%, n=54) and hepatocellular carcinoma (14.5%, n=49). Higher CK-MB-to-total-CK ratios in hematological malignancies ($1.44{\pm}0.41$)were also noted. Additionally, the CK-MB-to-total-CK ratio was markedly higher in advanced stage malignancy than in early stage ($1.37{\pm}0.26$ vs. $1.29{\pm}0.31$, p=0.014) and significantly higher in liver metastasis than in non-liver metastasis ($1.48{\pm}0.30$ vs. $1.30{\pm}0.21$, p<0.001). Conclusions: The CK-MB-to-total-CK ratio is an easily available indicator and could be clinically utilized as a primary screening tool for cancer. Higher ratio of CK-MB-to-total-CK was specifically associated with certain malignancies, like colorectal cancer, lung cancer and hepatocellular carcinoma, as well as some cancer-associated status factors such as advanced stage and liver metastasis.

      • Refining and Validating a Two-stage and Web-based Cancer Risk Assessment Tool for Village Doctors in China

        Shen, Xing-Rong,Chai, Jing,Feng, Rui,Liu, Tong-Zhu,Tong, Gui-Xian,Cheng, Jing,Li, Kai-Chun,Xie, Shao-Yu,Shi, Yong,Wang, De-Bin Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.24

        The big gap between efficacy of population level prevention and expectations due to heterogeneity and complexity of cancer etiologic factors calls for selective yet personalized interventions based on effective risk assessment. This paper documents our research protocol aimed at refining and validating a two-stage and web-based cancer risk assessment tool, from a tentative one in use by an ongoing project, capable of identifying individuals at elevated risk for one or more types of the 80% leading cancers in rural China with adequate sensitivity and specificity and featuring low cost, easy application and cultural and technical sensitivity for farmers and village doctors. The protocol adopted a modified population-based case control design using 72, 000 non-patients as controls, 2, 200 cancer patients as cases, and another 600 patients as cases for external validation. Factors taken into account comprised 8 domains including diet and nutrition, risk behaviors, family history, precancerous diseases, related medical procedures, exposure to environment hazards, mood and feelings, physical activities and anthropologic and biologic factors. Modeling stresses explored various methodologies like empirical analysis, logistic regression, neuro-network analysis, decision theory and both internal and external validation using concordance statistics, predictive values, etc..

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