This study aims to determine the impact of dietary energy levels on rumen microbial composition and its relationship to the quality of Black Tibetan sheep meat by applying metabolomics and Pearson's correlation analyses. For this purpose, UHPLC-QTOF-MS was used to identify the metabolome, whereas 16S rDNA sequencing was used to detect the rumen microbiota. Eventually, we observed that the high energy diet group (HS) improved the carcass quality of Black Tibetan sheep and fat deposition in the (LL) compared to the medium energy diet group (MS). However, HS considerably increased the texture, water holding capacity (WHC), and volatile flavor of the LL when compared to that of MS and the low energy diet group (LS). Metabolomics and correlation analyses revealed that dietary energy levels mainly affected the metabolism of carbohydrates and lipids of the LL, which consequently influenced the content of volatile flavor compounds (VOCs) and fats. Furthermore, HS increased the abundance of , and , all of which participate in the carbohydrate metabolism in rumen and thus influence the metabolite levels (stachyose, isomaltose, etc.) in the LL. Overall, a high-energy diet is desirable for the production of Black Tibetan sheep mutton because it improves the mouthfeel and flavor of meat by altering the composition of rumen microbiota, which influences the metabolism in the LL.
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http://dx.doi.org/10.3389/fnut.2022.915558 | DOI Listing |
Anim Microbiome
January 2025
China-Norway Joint Lab on Fish Gastrointestinal Microbiota, Institute of Feed Research, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Probiotics as green inputs have been reported to regulate metabolism and immunity of fish. However, the mechanisms by which probiotics improve growth and health of fish are unclear. Therefore, the aim of this study was to investigate the effect of Bacillus subtilis HGCC-1, an indigenous probiotic isolated from fish, on growth performance, host lipid metabolism, liver inflammation and gut microbiota of golden pompano.
View Article and Find Full Text PDFNat Food
January 2025
School of Biological Sciences, University of Aberdeen, Aberdeen, UK.
Nutritional epidemiology aims to link dietary exposures to chronic disease, but the instruments for evaluating dietary intake are inaccurate. One way to identify unreliable data and the sources of errors is to compare estimated intakes with the total energy expenditure (TEE). In this study, we used the International Atomic Energy Agency Doubly Labeled Water Database to derive a predictive equation for TEE using 6,497 measures of TEE in individuals aged 4 to 96 years.
View Article and Find Full Text PDFAm J Clin Nutr
January 2025
Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Epidemiology, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China. Electronic address:
Background: A proinflammatory diet has been linked to an increased risk of breast cancer. However, the underlying metabolic roles remain to be elucidated.
Objective: To investigate the metabolic mechanism between proinflammatory diet and breast cancer risk.
J Nutr
January 2025
Department of Kinesiology and Nutrition, University of Illinois Chicago, Chicago, IL, USA; University of Illinois Cancer Center, Chicago, Illinois, USA. Electronic address:
Objective: Accumulation of hydrophobic bile acids is linked with cancer development. However, derivatives of deoxycholic acid (DCA) and lithocholic acid (LCA) produced via bacterial metabolism may mitigate the proinflammatory and cytotoxic effects of hydrophobic bile acids. The impact of diet on secondary bile acid (BA) derivative production has not been determined.
View Article and Find Full Text PDFAm J Physiol Endocrinol Metab
January 2025
Molecular and Cellular Exercise Physiology, Department of physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden.
Kynurenic acid (KYNA) and quinolinic acid (QUIN) are metabolites of the kynurenine pathway of tryptophan degradation with opposing biological activities in the central nervous system. In the periphery, KYNA is known to positively affect metabolic health, whereas the effects of QUIN remain less explored. Interestingly, metabolic stressors, including exercise and obesity, differentially change the balance between circulating KYNA and QUIN.
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