Literature DB >> 32814607

1H NMR metabolomic and transcriptomic analyses reveal urinary metabolites as biomarker candidates in response to protein undernutrition in adult rats.

Yosuke Komatsu1,2,3, Yasuaki Wada2,3, Hirohisa Izumi2,3, Takashi Shimizu3, Yasuhiro Takeda3, Tomoyasu Aizawa1,4,5.   

Abstract

Protein undernutrition contributes to the development of various diseases in broad generations. Urinary metabolites may serve as non-invasive biomarkers of protein undernutrition; however, this requires further investigation. We aimed to identify novel urinary metabolites as biomarker candidates responsive to protein undernutrition. Adult rats were fed control (CT; 14 % casein) or isoenergetic low-protein (LP; 5 % casein) diets for 4 weeks. 1H NMR metabolomics was applied to urine, plasma and liver samples to identify metabolites responsive to protein undernutrition. Liver samples were subjected to mRNA microarray and quantitative PCR analyses to elucidate the mechanisms causing fluctuations in identified metabolites. Urinary taurine levels were significantly lower in the LP group than in the CT group at week 1 and remained constant until week 4. Hepatic taurine level and gene expression level of cysteine dioxygenase type 1 were also significantly lower in the LP group than in the CT group. Urinary trimethylamine N-oxide (TMAO) levels were significantly higher in the LP group than in the CT group at week 2 and remained constant until week 4. Hepatic TMAO level and gene expression levels of flavin-containing mono-oxygenase 1 and 5 were also significantly higher in the LP group than in the CT group. In conclusion, urinary taurine and TMAO levels substantially responded to protein undernutrition. Furthermore, changes in hepatic levels of these metabolites and gene expressions associated with their metabolic pathways were also reflected in their fluctuating urinary levels. Thus, taurine and TMAO could act as non-invasive urinary biomarker candidates to detect protein undernutrition.

Entities:  

Keywords:  Metabolomics; Multivariate analysis; Protein undernutrition; Transcriptomics; Urinary metabolites

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Year:  2020        PMID: 32814607     DOI: 10.1017/S0007114520003281

Source DB:  PubMed          Journal:  Br J Nutr        ISSN: 0007-1145            Impact factor:   3.718


  2 in total

1.  Dynamic Associations of Milk Components With the Infant Gut Microbiome and Fecal Metabolites in a Mother-Infant Model by Microbiome, NMR Metabolomic, and Time-Series Clustering Analyses.

Authors:  Yosuke Komatsu; Daiki Kumakura; Namiko Seto; Hirohisa Izumi; Yasuhiro Takeda; Yuki Ohnishi; Shinji Nakaoka; Tomoyasu Aizawa
Journal:  Front Nutr       Date:  2022-01-07

2.  Exploration of urinary metabolite dynamicity for early detection of pregnancy in water buffaloes.

Authors:  Archana Sarangi; Mayukh Ghosh; Suman Sangwan; Rajesh Kumar; Sunesh Balhara; S K Phulia; R K Sharma; Subhasish Sahu; Sandeep Kumar; A K Mohanty; A K Balhara
Journal:  Sci Rep       Date:  2022-09-29       Impact factor: 4.996

  2 in total

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