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288篇 您的检索式:作者名="Varian"
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1Gut microbiota profile in healthy Indonesians显示文摘BACKGROUND Recently, gut microbiota has been associated with various diseases other than intestinal disease. Thus, there has been rapid growth in the study of gut microbiota. Considering the numerous factors influencing gut microbiota such as age, diet, etc., area-based research is required. Indonesia has numerous different tribes and each of these tribes have different lifestyles. Hence, it is expected that each tribe has a specific gut microbiota. A deeper insight into the composition of gut microbiota can be used to determine the condition of gut microbiota in Indonesians and to consider which treatment may be suitable and effective to improve health status.AIM To investigate the gut microbiota of Indonesian subjects represented by Javanese and Balinese tribes by analyzing fecal samples.METHODS Fecal samples were collected from a total of 80 individuals with 20 in each of the young groups ranging from 25-45 years and the elderly group aged 70 years or more from two different regions, Yogyakarta and Bali. Fecal sample collection was performed at the end of the assessment period(day 14 ± 1 d) during which time the subjects were not allowed to consume probiotic or antibiotic products.The quantification of various Clostridium subgroups, Lactobacillus subgroups,Enterococcus, Streptococcus, Staphylococcus, Bacteroides fragilis group and Prevotella,Bifidobacterium and Atopobium cluster, Enterobacteriaceae and Pseudomonas was performed using the Yakult intestinal flora-scan(YIF-SCAN).RESULTS The bacterial population in younger subjects' feces was higher than that in the elderly population, with a total of approximately 10.0 – 10.6 log10 bacterial cells/g feces. The most abundant bacteria in all groups were Clostridium, followed by Prevotella, Atopobium, Bifidobacterium and Bacteroides. In the elderly, an increase in Enterobacteriaceae, Coliform and Escherichia coli was found. In terms of bacterial counts in Yogyakarta, total bacteria, Clostridium coccoides(C. coccoides) group,Bifidobacterium, Prevotella, Lactobacillus plantarum subgroup, and Streptococcus were significantly higher(P < 0.05) in younger than elderly subjects, while the Lactobacillus gasseri subgroup, Lactobacillus casei subgroup, and Lactobacillus reuteri subgroup counts were significantly lower(P < 0.05) in younger subjects. In Balinese subjects, total bacteria, C. coccoides group, Clostridium leptum subgroup,Bacteroides fragilis group, and Prevotella were significantly higher(P < 0.05) in younger compared to elderly individuals, while the Lactobacillus ruminis subgroup, and Enterobacteriaceae were significantly lower(P < 0.05) in younger subjects. The results also revealed that, besides the C. coccoides group and Clostridium leptum group being the most abundant gut microbiota in both Yogyakarta and Balinese people, the latter was indicated by a higher Clostridium perfringens count, which was almost 10 times that of Yogyakarta subjects. This may be a response to different lifestyles in the different tribes; however, this phenomenon requires further extensive study.CONCLUSION Bacterial populations were higher in younger than in elderly subjects. Most abundant bacterial groups were Clostridium, Prevotella, Atopobium, Bifidobacterium,and Bacteroides. The level of Clostridium perfringens in Yogyakarta subjects was lower than that in Balinese subjects.Endang Sutriswati Rahayu Tyas Utami Mariyatun Mariyatun Pratama Nur Hasan Rafli Zulfa Kamil Ryan Haryo Setyawan Fathyah Hanum Pamungkaningtyas IskANDar Azmy Harahap Devin Varian Wiryohanjoyo Putrika Citta Pramesi Muhammad Nur Cahyanto I Nengah Sujaya Mohammad Juffrie 2019World Journal of Gastroenterology2019,25,12:6
2Recommender systems显示文摘Paul Resnick Hal R. Varian 1997Communications of the ACM1997,,3:4
3液相色谱-紫外-核磁共振-质谱:多信息分离方法(英文)显示文摘The availability of liquid chromatography ultraviolet nuclear magnetic resonance mass spectrometry (LC UV NMR MS)integrated systems is providing greater information content and confidence for a variety of sample types, such asdrug metabolites, natural products, impurities, and degradants. A wide range of experimental strategies can be pur sued,highlighting the flexibility and performance possible with this multihyphenated technique.Iain Green (Varian, Inc., 3120 Hansen Way, Palo Alto, CA 94303, U.S.A.) 2003波谱学杂志2003,20,4:3
4Predicting the Present with Google Trends显示文摘HYUNYOUNG CHOI HAL VARIAN 2012Economic Record2012,,:2
5Predicting the Present with Google Trends显示文摘HYUNYOUNG CHOI HAL VARIAN 2012Economic Record2012,,:2
6Information rules: A strategic guide to the network economy 显示文摘Carl S Varian H R 2000The Journal of Technology Transfer2000,25,6:1
7Conditioning prices on purchase history显示文摘Acquisti A Varian H R 2005Marketing Science2005,24,3:1
8Big data: New tricks for econometrics显示文摘Varian H R 2014Journal of Economic Perspectives2014,28,2:1
9Goodness-of-fit in optimizing models显示文摘Varian H 1990Journal of Economics1990,46,:1
10Price Discrimination and social welfare显示文摘Varian H R 1985American Economic Review1985,75,4:1
11Recommender systems显示文摘Resnick P Varian H R 1997Communications of the ACM1997,40,3:1
12Recommender system显示文摘Resnick P Varian H R 1997Communications of the ACM1997,40,3:1
13Recommender systems显示文摘Resnick P Varian HR 0,,03:1
14Recommender systems 显示文摘Resnick P Varian H R 1997Communications of the ACM1997,40,3:1
15Divergence of opinion in complete mar- ket a note 显示文摘Varian I-I 1985Journal of Finance1985,40,:1
16A bayesian approach to real estate assessment, Studies in Bayesian Econometrics and Statis- tics in Honor of Leonard J Savage显示文摘VARIAN H R 1975Amsterdam: North-Holland1975,,:1
17The Art of Standards Wars 显示文摘Carl Shapiro Hal R Varian 1999California Management Review1999,1999,:1
18Recommender systems显示文摘Resnick P Varian H 1997Communications of the ACM1997,40,3:1
19Recommender systems显示文摘Resnick P Varian H R 1997Communications of the ACM1997,40,3:1
20Recommender Systems显示文摘RESNICK P VARIAN H R 0,,04:1
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