Multi-Omics Analysis to Generate Hypotheses for Mild Health Problems in Monkeys

Certain symptoms associated with mild sickness and lethargy have not been categorized as definitive diseases. Confirming such symptoms in captive monkeys (<i>Macaca fascicularis</i>, known as cynomolgus monkeys) can be difficult; however, it is possible to observe and analyze their feces...

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Main Authors: Fumie Hamano, Suzumi M. Tokuoka, Megumi Ishibashi, Yasuto Yokoi, Dieter M. Tourlousse, Yoshihiro Kita, Yuji Sekiguchi, Hiroyuki Yasui, Takao Shimizu, Yoshiya Oda
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Metabolites
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Online Access:https://www.mdpi.com/2218-1989/11/10/701
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author Fumie Hamano
Suzumi M. Tokuoka
Megumi Ishibashi
Yasuto Yokoi
Dieter M. Tourlousse
Yoshihiro Kita
Yuji Sekiguchi
Hiroyuki Yasui
Takao Shimizu
Yoshiya Oda
author_facet Fumie Hamano
Suzumi M. Tokuoka
Megumi Ishibashi
Yasuto Yokoi
Dieter M. Tourlousse
Yoshihiro Kita
Yuji Sekiguchi
Hiroyuki Yasui
Takao Shimizu
Yoshiya Oda
author_sort Fumie Hamano
collection DOAJ
description Certain symptoms associated with mild sickness and lethargy have not been categorized as definitive diseases. Confirming such symptoms in captive monkeys (<i>Macaca fascicularis</i>, known as cynomolgus monkeys) can be difficult; however, it is possible to observe and analyze their feces. In this study, we investigated the relationship between stool state and various omics data by considering objective and quantitative values of stool water content as a phenotype for analysis. By examining the food intake of the monkeys and assessing their stool, urine, and plasma, we attempted to obtain a comprehensive understanding of the health status of individual monkeys and correlate it with the stool condition. Our metabolomics data strongly suggested that many lipid-related metabolites were correlated with the stool water content. The lipidomic analysis revealed the involvement of saturated and oxidized fatty acids, metallomics revealed the contribution of selenium (a bio-essential trace element), and intestinal microbiota analysis revealed the association of several bacterial species with the stool water content. Based on our results, we hypothesize that the redox imbalance causes minor health problems. However, it is not possible to make a definite conclusion using multi-omics alone, and other hypotheses could be proposed.
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spelling doaj.art-3d0db270de1f46c098bf3de3d941563f2023-11-22T19:07:37ZengMDPI AGMetabolites2218-19892021-10-01111070110.3390/metabo11100701Multi-Omics Analysis to Generate Hypotheses for Mild Health Problems in MonkeysFumie Hamano0Suzumi M. Tokuoka1Megumi Ishibashi2Yasuto Yokoi3Dieter M. Tourlousse4Yoshihiro Kita5Yuji Sekiguchi6Hiroyuki Yasui7Takao Shimizu8Yoshiya Oda9Department of Lipidomics, Graduate School of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo 113-8654, JapanDepartment of Lipidomics, Graduate School of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo 113-8654, JapanThermo Fisher Scientific K. K., Moriya-cho 3-9, Kanagawa-ku, Yokohama-shi 221-0022, JapanMitsui Knowledge Industry Co., Ltd., Atago Green Hills MORI Tower, Atago 2-5-1, Minato-ku, Tokyo 105-6215, JapanBiomedical Research Institute, Advanced Industrial Science and Technology (AIST), Central 6, Higashi 1-1-1, Tsukuba 305-8566, JapanDepartment of Lipidomics, Graduate School of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo 113-8654, JapanBiomedical Research Institute, Advanced Industrial Science and Technology (AIST), Central 6, Higashi 1-1-1, Tsukuba 305-8566, JapanDepartment of Analytical & Bioinorganic Chemistry, Division of Analytical and Physical Chemistry, Kyoto Pharmaceutical University, 5 Nakauchi-cho, Misasagi, Yamashina-ku, Kyoto 607-8414, JapanDepartment of Lipidomics, Graduate School of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo 113-8654, JapanDepartment of Lipidomics, Graduate School of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo 113-8654, JapanCertain symptoms associated with mild sickness and lethargy have not been categorized as definitive diseases. Confirming such symptoms in captive monkeys (<i>Macaca fascicularis</i>, known as cynomolgus monkeys) can be difficult; however, it is possible to observe and analyze their feces. In this study, we investigated the relationship between stool state and various omics data by considering objective and quantitative values of stool water content as a phenotype for analysis. By examining the food intake of the monkeys and assessing their stool, urine, and plasma, we attempted to obtain a comprehensive understanding of the health status of individual monkeys and correlate it with the stool condition. Our metabolomics data strongly suggested that many lipid-related metabolites were correlated with the stool water content. The lipidomic analysis revealed the involvement of saturated and oxidized fatty acids, metallomics revealed the contribution of selenium (a bio-essential trace element), and intestinal microbiota analysis revealed the association of several bacterial species with the stool water content. Based on our results, we hypothesize that the redox imbalance causes minor health problems. However, it is not possible to make a definite conclusion using multi-omics alone, and other hypotheses could be proposed.https://www.mdpi.com/2218-1989/11/10/701multi-omicsredoxseleniumsaturated fatty acidslipid mediatorsmultiple sample sources
spellingShingle Fumie Hamano
Suzumi M. Tokuoka
Megumi Ishibashi
Yasuto Yokoi
Dieter M. Tourlousse
Yoshihiro Kita
Yuji Sekiguchi
Hiroyuki Yasui
Takao Shimizu
Yoshiya Oda
Multi-Omics Analysis to Generate Hypotheses for Mild Health Problems in Monkeys
Metabolites
multi-omics
redox
selenium
saturated fatty acids
lipid mediators
multiple sample sources
title Multi-Omics Analysis to Generate Hypotheses for Mild Health Problems in Monkeys
title_full Multi-Omics Analysis to Generate Hypotheses for Mild Health Problems in Monkeys
title_fullStr Multi-Omics Analysis to Generate Hypotheses for Mild Health Problems in Monkeys
title_full_unstemmed Multi-Omics Analysis to Generate Hypotheses for Mild Health Problems in Monkeys
title_short Multi-Omics Analysis to Generate Hypotheses for Mild Health Problems in Monkeys
title_sort multi omics analysis to generate hypotheses for mild health problems in monkeys
topic multi-omics
redox
selenium
saturated fatty acids
lipid mediators
multiple sample sources
url https://www.mdpi.com/2218-1989/11/10/701
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