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

Metabolites ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 701
Author(s):  
Fumie Hamano ◽  
Suzumi M. Tokuoka ◽  
Megumi Ishibashi ◽  
Yasuto Yokoi ◽  
Dieter M. Tourlousse ◽  
...  

Certain symptoms associated with mild sickness and lethargy have not been categorized as definitive diseases. Confirming such symptoms in captive monkeys (Macaca fascicularis, 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.

2021 ◽  
Author(s):  
Fumie Hamano ◽  
Suzumi M Tokuoka ◽  
Megumi Ishibashi ◽  
Yasuto Yokoi ◽  
Dieter M Tourlousse ◽  
...  

Abstract Certain symptoms associated with mild sickness and lethargy have not been categorized as definitive diseases. Confirming such symptoms in captive monkeys (Macaca fascicularis) can be difficult; however, it is possible to observe and analyze their feces. Even among monkeys that are housed under carefully monitored conditions, some monkeys occasionally have poor stool conditions. 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, the stool and urine they expel, and the plasma circulating in their bodies, we attempted to obtain a comprehensive understanding of the health status of a single individual and understand its relationship with stool condition. Our metabolomics data strongly suggested an association between lipids and stool water content. 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. Taken together, these results suggest that selenium-induced disturbance in redox balance may cause minor health problems.


1994 ◽  
Vol 31 (3) ◽  
pp. 301-307 ◽  
Author(s):  
J. E. Dillberger ◽  
D. E. Loudy ◽  
R. R. Adler ◽  
J. H. Gass

Red blood cell parasites were identified electron microscopically in five anemic adult female cynomolgus monkeys ( Macaca fascicularis), two of which died during anemic episodes. Organisms typically were 0.3–0.5-μm round, oval, or reniform bodies on the surface or within vacuoles of erythrocytes. Based on their size, location in the erythrocyte, and internal ultrastructural features, organisms were classified as Hemobartonella-like. The relationship between the organisms and the anemias in these monkeys was unclear. This report adds rickettsial erythrocyte infections to the list of latent infections that can complicate research studies with cynomolgus monkeys.


2021 ◽  
Author(s):  
Dan-Hua Li ◽  
Rexiding Abuduaini ◽  
Meng-Xuan Du ◽  
Yu-Jing Wang ◽  
Hong-He Chen ◽  
...  

AbstractNon-human primates harbor diverse microbiomes in their guts. As a part of China Microbiome Initiatives, we cultivated and characterized the gut microbiome of cynomolgus monkeys (Macaca fascicularis). In this report, we communicate the characterization and taxonomy of 8 bacterial strains that were obtained from fecal samples of captive cynomolgus monkeys. The results revealed that they represented 8 novel bacterial species. The proposed names of the 8 novel species are Alkaliphilus flagellate (type strain MSJ-5T =CGMCC 1.45007T=KCTC 15974T), Butyricicoccus intestinisimiae MSJd-7T (type strain MSJd-7T =CGMCC 1.45013T =KCTC 25112T), Clostridium mobile (type strain MSJ-11T =CGMCC 1.45009T=KCTC 25065T), Clostridium simiarum (type strain MSJ-4T =CGMCC 1.45006T =KCTC 15975T), Dysosmobacter acutus (type strain MSJ-2T =CGMCC 1.32896T=KCTC 15976T), Paenibacillus brevis MSJ-6T (type strain MSJ-6T =CGMCC 1.45008T=KCTC 15973T), Peptoniphilus ovalis (type strain MSJ-1T =CGMCC 1.31770T=KCTC 15977T), and Tissierella simiarum (type strain MSJ-40T =CGMCC 1.45012T=KCTC 25071T).


1978 ◽  
Vol 79 (1) ◽  
pp. 1-7 ◽  
Author(s):  
A. A. SHAIKH ◽  
R. H. NAQVI ◽  
S. A. SHAIKH

Ninety-three female cynomolgus monkeys were monitored throughout 647 menstrual cycles; 93·2% of these cycles were 22–37 days long and were normally distributed, with a mean of 29·2 days. Menstrual bleeding generally lasted for 3–5 days and was not related to the length of the cycle. The levels of progesterone and oestradiol-17β in the plasma were measured during the menstrual cycle in 30 monkeys. The concentration of oestradiol-17β reached a mid-cycle peak on day 11 or 12 of the cycle. The interval between the beginning of the cycle and the oestrogen peak was constant; the interval between the oestrogen peak and the end of the cycle increased or decreased with the cycle length. The level of progesterone began to rise at about the time of the oestrogen peak and remained raised for longer periods as the length of the cycle increased. The length of the menstrual cycle, therefore, appeared to be determined by the duration of the increase in the level of progesterone or by the life of the corpus luteum in the luteal phase. The relationship between the lengths of the cycle and the luteal phase can be defined by the expression: cycle length = 12·6+0·96 × length of luteal phase (correlation coefficient = 0·875).


2021 ◽  
pp. 009164712199240
Author(s):  
Noah S. Love ◽  
Cassidy A. Merlo ◽  
M. Elizabeth Lewis Hall ◽  
Peter C. Hill

The present study examined attachment to God and quest as potential moderators of the relationship between religious doubt and mental health. A sample of Christian participants ( N = 235) completed a survey which included measures of attachment to God, quest, religious doubt, and mental health. As hypothesized, attachment to God and quest significantly moderated an individual’s experience of religious doubt. Low avoidant attachment to God (i.e., a more secure attachment) was associated with a more negative relationship between cognitive religious doubt and positive mental health than high avoidant attachment. In contrast, low avoidant attachment to God also ameliorated the positive relationship between affective religious doubt and mental health problems. Low anxious attachment was associated with a stronger negative relationship between both measures of religious doubt (i.e., cognitive and affective) and positive mental health. In addition, high soft quest weakened all four of the relationships between measures of religious doubt and mental health. High hard quest ameliorated the positive relationship between both measures of religious doubt and mental health problems. These results indicate that an individual’s attachment to God and the way an individual is oriented toward religion each play a role in the mental health outcomes associated with religious doubt.


Author(s):  
Rachel A. Fusco ◽  
Yan Yuan ◽  
Hyunji Lee ◽  
Christina E. Newhill

Low-income young adults are more likely to have exposure to trauma, which increases risk for mental health problems. Although adequate sleep promotes good health, people with histories of trauma are more likely to have sleep problems. The current study explored whether poor sleep mediated the relationship between trauma exposure and mental health. A sample of 143 low-income 18–24-year-old young adults completed depression, anxiety, and trauma exposure measures and wore sleep monitors for four nights. Structural equation modeling (SEM) was used to examine both direct and indirect effects of variables. Results showed that higher trauma exposure was associated with depression and anxiety. Mean sleep hours per night was fewer than six, far below recommended guidelines for optimal health and functioning. Fewer sleep hours partially mediated the relationship between both trauma exposure and depression and anxiety, and the direct effect from trauma remained significant after adjusting for the partial mediation from sleep.


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