Analysis of the human intestinal microbiota from 92 volunteers after ingestion of identical meals

Touyama, Mutsumi; Kibe, Ryoko; Tanaka, Yoshiki; Benno, Yoshimi; Kobayashi, Toshio; Shimizu, Masaki; Maruo, Toshiya; Toda, Toshiya; Matsuda, Isao; Tagami, Hirotaka; Matsumoto, Mitsuharu; Seo, Genichiro; Chonan, Osamu

doi:10.3920/bm2012.0045

Cited by 14 publications

(22 citation statements)

References 22 publications

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“…All dietary components, including drinks, were unified as already reported by Jin et al [2]. In order to standardize the diet, the identical meals designed by Fujicco Co. (Kobe, Japan) were delivered to and consumed by all subjects.…”

Section: Methodsmentioning

confidence: 99%

Identification of Human Intestinal Microbiota of 92 Men by Data Mining for 5 Characteristics, <i>i.e.</i>, Age, BMI, Smoking Habit, Cessation Period of Previous Smokers and Drinking Habit

Kobayashi

Kibe

Touyama

et al. 2013

Bioscience of Microbiota, Food and Health

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The intestinal microbiota compositions of 92 men living in Japan were identified following consumption of identical meals for 3 days. Fecal samples were analyzed by terminal restriction fragment length polymorphism with 4 primer-restriction enzyme systems, and the 120 obtained operational taxonomic units (OTUs) were analyzed by Data mining software focusing on the following 5 characteristics, namely, age, body mass index, present smoking habit, cessation period of previous smokers and drinking habit, according to the answers of the subjects. After performing Data mining analyses with each characteristic, the details of the constructed Decision trees precisely identified the subjects or discriminated them into various suitable groups. Through the pathways to reach the groups, practical roles of the related OTUs and their quantities were clearly recognized. Compared with the other identification methods for OTUs such as bicluster analyses, correlation coefficients and principal component analyses, the clear difference of this Data mining technique was that it set aside most OTUs and emphasized only some closely related ones. For example for a selected characteristic, such as smoking habit, only 7 OTUs out of 120 were able to identify all smokers, and the remaining 113 OTUs were thought of as data noise for smoking. Data mining analyses were affirmed as an effective method of subject discrimination for various physiological constitutions. The species of bacteria that were closely related to heavy smokers, i.e., HaeIII-291, were also discussed.

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Section: Methodsmentioning

confidence: 99%

Identification of Human Intestinal Microbiota of 92 Men by Data Mining for 5 Characteristics, <i>i.e.</i>, Age, BMI, Smoking Habit, Cessation Period of Previous Smokers and Drinking Habit

Kobayashi

Kibe

Touyama

et al. 2013

Bioscience of Microbiota, Food and Health

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“…We believe that some aspects of moderate alcohol on human health aging are extrapolatable from animal data. The relative density of microflora between human and mice are different (52,(82)(83)(84)(85). For example, that of Lactobacillus in mice is higher than in human, while that of Bifidobacterium in human is higher than in mice.…”

Section: T-rflp Flora Analysismentioning

confidence: 99%

Moderate-dose Regular Lifelong Alcohol Intake Changes the Intestinal Flora, Protects against Aging, and Keeps Spatial Memory in the Senescence-accelerated Mouse Prone 8 (SAMP8) Model

et al. 2016

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-Purpose: Heavy and long-term alcohol consumption increase the risk of alcohol-related diseases. Epidemiological studies show moderate drinking reduces the risk of mortality, cardiovascular diseases, and brain infarction in the J-shaped or U-shaped curve effect. However, why moderate drinkers may be healthy and non-drinkers may be ill in diverse populations remains controversial. Herein, we examined the relationship between moderate/lifelong alcohol intake and aging, especially aging-related cognitive functions in senescenceaccelerated mouse prone 8 (SAMP8) model. Methods: SAMP8 model (5-week-old, male, n = 36), a model of age-related cognitive deficit, were group-housed (n = 6/cage) and provided free access to water (water group, n = 18) or 1% ethanol (EtOH group, n = 18, intake started when mice were 9 weeks old). The object recognition test (ORT) and object location test (OLT) were used to evaluate cognitive functions. The intestinal flora at the age of 87 weeks was analyzed by terminal restriction fragment length polymorphism (T-RFLP). Results: The lifespan of the EtOH-group mice was about 4 weeks longer than that of the water-group mice. In the EtOH group, spatial recognition impairment, assessed by OLT, was observed later (age, 73 weeks) than that in the water group (age, 52 weeks). The spinal curvature and skin conditions progressed significantly slower in the EtOH group than in the water group. Moreover, diarrhea symptoms only appeared in the water group, at the age of 82 weeks. The T-RFLP analysis of the intestinal flora indicated higher Lactobacillales order and lower Clostridium cluster XI in the EtOH group than in the water group, although those were extremely high in some mice close to death in both groups. Water-group mice with diarrhea presented significantly higher Clostridium cluster XI than did those without diarrhea (P = 0.017). Conclusion: Moderate alcohol intake changes intestinal flora and positively affects aging of SAMP8 model.This article is open to POST-PUBLICATION REVIEW. Registered readers (see "For Readers") may comment by clicking on ABSTRACT on the issue's contents page.

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“…Despite the fact that many environmental factors influence microbial community structure, activity and the surrounding environmental parameters of intestinal tract depending on the location within it, feed, and health, it has become apparent that microbial function and structure are relatively stable, providing the basis for energy conversion and stable coexistence of various hosts with their specific intestinal microbiota (Turnbaugh et al, 2009;Jin et al, 2012) through geological time-scales.…”

Section: Introductionmentioning

confidence: 99%

“…IM thus plays crucial role in host absorption of organic components, development and well-being of healthy intestinal tract but also its immune system related to resistance and/or resilience towards invading and pathogenic species (Jacobs et al, 2009;Jin et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

“…The status of intestinal microbiota (IM) has been shown to be decisively linked to host well-being (Jin et al, 2012) through direct contact with its immune system, the identity, rates and periodicity of conversion of organic compounds to various metabolites, all of which were to distinct extent linked to numerous chronic alterations on intestines (Marchesi, 2007). IM thus plays crucial role in host absorption of organic components, development and well-being of healthy intestinal tract but also its immune system related to resistance and/or resilience towards invading and pathogenic species (Jacobs et al, 2009;Jin et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

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Student performance study: the outcomes of metabolic, molecular and physical-chemical characterization of intestinal tract microbiome on a four mammalian species model

Ciber

Dolenc

Drakslar

et al. 2015

AAS

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Student performance study: the outcomes of metabolic, molecular and physical-chemical characterization of intestinal tract microbiome on a four mammalian species modelMany environmental factors influence the structure of microbial communities, their activity and properties of the environment of the digestive tract. Contrary to constant disturbances, the system provides the basis for energy conversion and thus the long-term stable coexistence of different hosts and their specific intestinal microbiota over geological timescales. Since the methodological approaches proved to be the largest source of systematic errors in comparisons of microbial communities among different organisms of the same species or between different species, we tested a number of methods on samples from different species of mammals in order to verify the feasibility of this approach for future routine analysis of microbiomes:(i) analyses of physical-chemical parameters;(ii)the metabolic properties of attached, planktonic fractions in comparison to the total;(iii)structure of microbial communities of bacteria and archaea; (iv)data analysis. We used a model of intestinal samples from four species of mammals, encompassing the differences between the various types of intestinal tracts: ruminants and rodents (such as pre-and post-peptic fermentors), omnivores and carnivores. The second purpose of the study was to(i)assess the extent of spread of data due to the cooperation of the various operators on the data obtained, and(ii) to evaluate the skills of the students to carry out industry-oriented investigations and measurements in 1st year of MSc study Microbiology; and(iii) to promote awareness of the importance of routine laboratory work day and the corresponding duties. The results suggest(i)that the operators independently organized and shared tasks;(ii)successfully completed all methods;(iii)obtain relevant information;(iv)critically evaluated and interpreted within the extent of their knowledge;(v) that relative standard deviation(RSD) typically could be compared to those of the automated analytical procedures(<10 %) and therefore represented the maximum extent of the variability of the biological material itself. It follows that the motivated MSc students were able to uphold the unknown protocols under supervision and perform laboratory and analytical complex experimental task, process and interpret results, and approximate performance of analytical procedures in industrial laboratories to generate data sets of acceptable high-quality.Key words: microbiology / mammals / intestinal tract / microbiota / metabolic profiling / student work / quality Ocena študentske uspešnosti: rezultati metabolnih, molekularnih in fizikalno-kemijskih karakterizacij mikrobiomov prebavnega trakta na modelu štirih vrst sesalcev Številni okoljski dejavniki vplivajo na strukturo mikrobnih združb, njihovo aktivnost in lastnosti okolja prebavnega trakta, vendar ne glede na večino sprememb sistem zagotavlja podlago za pretvorbo energije ter s tem dolgoročno stabilni ...

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Analysis of the human intestinal microbiota from 92 volunteers after ingestion of identical meals

Cited by 14 publications

References 22 publications

Identification of Human Intestinal Microbiota of 92 Men by Data Mining for 5 Characteristics, <i>i.e.</i>, Age, BMI, Smoking Habit, Cessation Period of Previous Smokers and Drinking Habit

Identification of Human Intestinal Microbiota of 92 Men by Data Mining for 5 Characteristics, <i>i.e.</i>, Age, BMI, Smoking Habit, Cessation Period of Previous Smokers and Drinking Habit

Moderate-dose Regular Lifelong Alcohol Intake Changes the Intestinal Flora, Protects against Aging, and Keeps Spatial Memory in the Senescence-accelerated Mouse Prone 8 (SAMP8) Model

Student performance study: the outcomes of metabolic, molecular and physical-chemical characterization of intestinal tract microbiome on a four mammalian species model

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