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Zhang K, Han Y, Gu F, Gu Z, Zhao J, Chen J, Chen B, Gao M, Hou Z, Yu X, Cai T, Gao Y, Xie J, Liu T, Liu K. Association between dietary total choline and abdominal aorta calcification among older US adults: A cross-sectional study of the National Health and Nutrition Examination Survey. JPEN J Parenter Enteral Nutr 2024; 48:155-164. [PMID: 37932919 DOI: 10.1002/jpen.2577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 10/23/2023] [Accepted: 10/26/2023] [Indexed: 11/08/2023]
Abstract
BACKGROUND Numerous studies indicate a potential bidirectional association between dietary choline intake and its derivative, betaine, and subclinical atherosclerosis. However, little research has been conducted on the relationship between dietary choline and severe abdominal aortic calcification (SAAC). METHODS This cross-sectional study analyzed population-based data from the National Health and Nutrition Examination Survey (2013-2014). Choline intake and food sources were measured using two 24-h dietary-recall interviews. The abdominal aortic calcification score was measured using a dual-emission x-ray absorptiometry scan. To assess the relationship between choline intake and SAAC, the study utilized restricted cubic spline and a multivariable logistic regression model. RESULTS Among the 2640 individuals included in the study, 10.9% had SAAC. After adjusting for all selected covariates, compared with the lowest quartile of dietary choline, the odds ratios of SAAC for the second-quartile, third-quartile, and fourth-quartile dietary choline intake were 0.63 (95% confidence interval [CI], 0.43-0.93), 0.63 (95% CI, 0.42-0.94), and 0.77 (95% CI, 0.5-1.16), respectively. The study found an L-shaped relationship between dietary choline and SAAC in the dose-response analysis. Subgroup analyses did not demonstrate any statistically significant interaction effects for any subgroup. CONCLUSION The study found that a higher intake of dietary choline is associated with a lower prevalence of SAAC. The dose-response analysis revealed an L-shaped relationship between dietary choline and SAAC. However, further studies are warranted to investigate the direct role of choline in the development of SAAC.
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Affiliation(s)
- Kai Zhang
- Cardiovascular Surgery Department of Jilin University Second Hospital, Changchun, China
| | - Yu Han
- Department of Ophthalmology, First Hospital of Jilin University, Changchun, China
| | - Fangmin Gu
- Cardiovascular Surgery Department of Jilin University Second Hospital, Changchun, China
| | - Zhaoxuan Gu
- Cardiovascular Surgery Department of Jilin University Second Hospital, Changchun, China
| | - JiaYu Zhao
- Cardiovascular Surgery Department of Jilin University Second Hospital, Changchun, China
| | - Jianguo Chen
- Bethune First College of Clinical Medicine, Jilin University, Changchun, China
| | - Bowen Chen
- Bethune First College of Clinical Medicine, Jilin University, Changchun, China
| | - Min Gao
- Department of Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - Zhengyan Hou
- Bethune Second School of Clinical Medicine, Jilin University, Changchun, China
| | - Xiaoqi Yu
- Bethune Second School of Clinical Medicine, Jilin University, Changchun, China
| | - Tianyi Cai
- Bethune Second School of Clinical Medicine, Jilin University, Changchun, China
| | - Yafang Gao
- Bethune Second School of Clinical Medicine, Jilin University, Changchun, China
| | - Jinyu Xie
- Cardiovascular Surgery Department of Jilin University Second Hospital, Changchun, China
| | - Tianzhou Liu
- Department of Gastrointestinal Surgery, The Second Hospital of Jilin University, Changchun, China
| | - Kexiang Liu
- Cardiovascular Surgery Department of Jilin University Second Hospital, Changchun, China
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Young T, Laroche O, Walker SP, Miller MR, Casanovas P, Steiner K, Esmaeili N, Zhao R, Bowman JP, Wilson R, Bridle A, Carter CG, Nowak BF, Alfaro AC, Symonds JE. Prediction of Feed Efficiency and Performance-Based Traits in Fish via Integration of Multiple Omics and Clinical Covariates. BIOLOGY 2023; 12:1135. [PMID: 37627019 PMCID: PMC10452023 DOI: 10.3390/biology12081135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 08/07/2023] [Accepted: 08/08/2023] [Indexed: 08/27/2023]
Abstract
Fish aquaculture is a rapidly expanding global industry, set to support growing demands for sources of marine protein. Enhancing feed efficiency (FE) in farmed fish is required to reduce production costs and improve sector sustainability. Recognising that organisms are complex systems whose emerging phenotypes are the product of multiple interacting molecular processes, systems-based approaches are expected to deliver new biological insights into FE and growth performance. Here, we establish 14 diverse layers of multi-omics and clinical covariates to assess their capacities to predict FE and associated performance traits in a fish model (Oncorhynchus tshawytscha) and uncover the influential variables. Inter-omic relatedness between the different layers revealed several significant concordances, particularly between datasets originating from similar material/tissue and between blood indicators and some of the proteomic (liver), metabolomic (liver), and microbiomic layers. Single- and multi-layer random forest (RF) regression models showed that integration of all data layers provide greater FE prediction power than any single-layer model alone. Although FE was among the most challenging of the traits we attempted to predict, the mean accuracy of 40 different FE models in terms of root-mean square errors normalized to percentage was 30.4%, supporting RF as a feature selection tool and approach for complex trait prediction. Major contributions to the integrated FE models were derived from layers of proteomic and metabolomic data, with substantial influence also provided by the lipid composition layer. A correlation matrix of the top 27 variables in the models highlighted FE trait-associations with faecal bacteria (Serratia spp.), palmitic and nervonic acid moieties in whole body lipids, levels of free glycerol in muscle, and N-acetylglutamic acid content in liver. In summary, we identified subsets of molecular characteristics for the assessment of commercially relevant performance-based metrics in farmed Chinook salmon.
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Affiliation(s)
- Tim Young
- Aquaculture Biotechnology Research Group, Department of Environmental Science, School of Science, Private Bag 92006, Auckland 1142, New Zealand
- The Centre for Biomedical and Chemical Sciences, School of Science, Auckland University of Technology, Private Bag 92006, Auckland 1142, New Zealand
| | | | | | - Matthew R. Miller
- Cawthron Institute, Nelson 7010, New Zealand
- Institute for Marine and Antarctic Studies, University of Tasmania, Hobart Private Bag 49, Hobart 7005, Australia
| | | | | | - Noah Esmaeili
- Institute for Marine and Antarctic Studies, University of Tasmania, Hobart Private Bag 49, Hobart 7005, Australia
| | - Ruixiang Zhao
- Institute for Marine and Antarctic Studies, University of Tasmania, Hobart Private Bag 49, Hobart 7005, Australia
| | - John P. Bowman
- Tasmanian Institute of Agricultural Research, University of Tasmania, Hobart 7005, Australia
| | - Richard Wilson
- Central Science Laboratory, Research Division, University of Tasmania, Hobart 7001, Australia
| | - Andrew Bridle
- Institute for Marine and Antarctic Studies, University of Tasmania, Hobart Private Bag 49, Hobart 7005, Australia
| | - Chris G. Carter
- Institute for Marine and Antarctic Studies, University of Tasmania, Hobart Private Bag 49, Hobart 7005, Australia
- Blue Economy Cooperative Research Centre, Launceston 7250, Australia
| | - Barbara F. Nowak
- Institute for Marine and Antarctic Studies, University of Tasmania, Hobart Private Bag 49, Hobart 7005, Australia
| | - Andrea C. Alfaro
- Aquaculture Biotechnology Research Group, Department of Environmental Science, School of Science, Private Bag 92006, Auckland 1142, New Zealand
| | - Jane E. Symonds
- Cawthron Institute, Nelson 7010, New Zealand
- Institute for Marine and Antarctic Studies, University of Tasmania, Hobart Private Bag 49, Hobart 7005, Australia
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Ferrari JEC, Palma M, Carli GC, Satiro TM, Tavares LC, Viegas I, Takahashi LS. Carbohydrate tolerance in Amazon tambaqui (Colossoma macropomum) revealed by NMR-metabolomics - Are glucose and fructose different sugars for fruit-eating fish? COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY. PART D, GENOMICS & PROTEOMICS 2022; 41:100928. [PMID: 34847514 DOI: 10.1016/j.cbd.2021.100928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 10/21/2021] [Accepted: 10/21/2021] [Indexed: 06/13/2023]
Abstract
In the present study, two approaches were followed to evaluate the metabolic responses of tambaqui (Colossoma macropomum), a frugivorous species, to intraperitoneal (IP) administration of glucose (GLU) and fructose (FRU) in fed (FED) and 10-day fasted (FAST) fish. Glucose and fructose tolerance tests were performed to assess the carbohydrate utilization and complementary NMR-metabolomics analyses were done to elucidate the impacts of sugar mobilization on the metabolic profile of plasma, liver and muscle. Blood was sampled from FED groups at 0, 3, 6 and 24 h; and at 0 and 24 h from FAST groups. Significant differences were observed in the hyperglycaemic peak between sugars at 3 h (GLU - 13.7 ± 2.0 mM vs. FRU - 8.7 ± 1.1 mM; saline 6.3 ± 0.6 mM) and on the return to normoglycaemia (GLU - 8.5 ± 2.2 mM vs. FRU - 5.2 ± 0.9 mM; saline 4.9 ± 0.6 mM) 6 h after IP on the FRU fish. The NMR-metabolomics approach allowed to conclude that tambaqui seems to be more responsive to the feeding regime (FED vs. FAST) than to the injected sugar (FRU vs. GLU). From the studied tissues, plasma showed no significant variations between feeding regimes at 24 h after IP, while muscle and liver revealed some variations on the final metabolome profile between FED and FAST groups. The metabolome variations between feeding regimes are indicative of changes on the amino acid utilization. Fish from FAST group seem to utilize amino acids as energy source rather than for protein synthesis and muscle growth. Variations on glucose concentration in muscle can also indicate different utilization of the sugars depending on the feeding regime.
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Affiliation(s)
| | - Mariana Palma
- University of Coimbra, Centre for Functional Ecology, Department of Life Sciences, Coimbra 3000-456, Portugal
| | - Gabriela Castellani Carli
- São Paulo State University (Unesp), Aquaculture Center of Unesp (Caunesp), Jaboticabal 14884-900, Brazil; São Paulo State University (Unesp), College of Agricultural and Technological Sciences (FCAT-Unesp), Dracena 17900-000, Brazil
| | - Thaise Mota Satiro
- São Paulo State University (Unesp), Aquaculture Center of Unesp (Caunesp), Jaboticabal 14884-900, Brazil
| | - Ludgero C Tavares
- Center for Neuroscience and Cell Biology, University of Coimbra, Coimbra 3004-517, Portugal; CIVG - Vasco da Gama Research Center, University School Vasco da Gama - EUVG, 3020-210 Coimbra, Portugal
| | - Ivan Viegas
- University of Coimbra, Centre for Functional Ecology, Department of Life Sciences, Coimbra 3000-456, Portugal
| | - Leonardo Susumu Takahashi
- São Paulo State University (Unesp), Aquaculture Center of Unesp (Caunesp), Jaboticabal 14884-900, Brazil; São Paulo State University (Unesp), College of Agricultural and Technological Sciences (FCAT-Unesp), Dracena 17900-000, Brazil.
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Wang S, Wu P, Wang K, Ji X, Chen D, Liu Y, Ding J, Xu X, Tang G. Comparative metabolome profiling of serum and urine from sows with a high prevalence of piglet mummification and normal sows at different stages of pregnancy. Theriogenology 2022; 183:10-25. [DOI: 10.1016/j.theriogenology.2022.02.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 02/09/2022] [Accepted: 02/12/2022] [Indexed: 11/25/2022]
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Palma M, Bledsoe JW, Tavares LC, Romano N, Small BC, Viegas I, Overturf K. Digesta and Plasma Metabolomics of Rainbow Trout Strains with Varied Tolerance of Plant-Based Diets Highlights Potential for Non-Lethal Assessments of Enteritis Development. Metabolites 2021; 11:metabo11090590. [PMID: 34564406 PMCID: PMC8470503 DOI: 10.3390/metabo11090590] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 08/26/2021] [Accepted: 08/28/2021] [Indexed: 01/12/2023] Open
Abstract
The replacement of fishmeal in aquafeeds is essential to the sustainability of aquaculture. Besides the procurement of alternative protein sources, fish can also be selected for better performance on plant-based alternative diets. Rainbow trout (Oncorhynchus mykiss) is one such species in which the strain ARS-Sel has been selected for higher growth and enhanced utilization when fed soy-based diets. The aim of this study was to compare fish growth and plasma and digesta metabolomes between ARS-Sel and two commercial strains (CS-1 and CS-2), when fed plant-protein (PM) and fishmeal-based (FM) diets, and to correlate them with the onset of enteritis. An NMR-metabolomics approach was taken to assess plasma and digesta metabolite profiles. Diet and strain showed significant effects on fish growth, with the ARS-Sel fish receiving the PM diet reaching the highest final weight at sampling. Multivariate analysis revealed differences between plasma and digesta metabolite profiles of ARS-Sel and CS (CS-1 considered together with CS-2) PM-fed groups in the early stages of enteritis development, which was confirmed by intestinal histology. As reported in previous studies, the ARS-Sel strain performed better than the commercial strains when fed the PM diet. Our findings also suggest that metabolomic profiles of plasma and digesta, samples of which can be obtained through non-lethal methods, offer valuable insight in monitoring the occurrence of enteritis in carnivorous aquaculture species due to plant-based diets.
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Affiliation(s)
- Mariana Palma
- Centre for Functional Ecology, Department of Life Sciences, University of Coimbra, 3000-456 Coimbra, Portugal;
| | - Jacob W. Bledsoe
- ARS-USDA, Hagerman Fish Culture Experiment Station, Hagerman, ID 83332, USA; (J.W.B.); (K.O.)
| | - Ludgero C. Tavares
- CIVG—Vasco da Gama Research Center, University School Vasco da Gama—EUVG, 3020-210 Coimbra, Portugal;
- Center for Neuroscience and Cell Biology, University of Coimbra, 3004-517 Coimbra, Portugal
| | - Nicholas Romano
- Center of Excellence in Aquaculture & Fisheries Center, University of Arkansas at Pine Bluff, Pine Bluff, AR 71601, USA;
| | - Brian C. Small
- Aquaculture Research Institute, Hagerman Fish Culture Experiment Station, University of Idaho, Hagerman, ID 83332, USA;
| | - Ivan Viegas
- Centre for Functional Ecology, Department of Life Sciences, University of Coimbra, 3000-456 Coimbra, Portugal;
- Correspondence:
| | - Ken Overturf
- ARS-USDA, Hagerman Fish Culture Experiment Station, Hagerman, ID 83332, USA; (J.W.B.); (K.O.)
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Wang J, Jiang H, Alhamoud Y, Chen Y, Zhuang J, Liu T, Cai L, Shen W, Wu X, Zheng W, Feng F. Integrated metabolomic and gene expression analyses to study the effects of glycerol monolaurate on flesh quality in large yellow croaker (Larimichthys crocea). Food Chem 2021; 367:130749. [PMID: 34375886 DOI: 10.1016/j.foodchem.2021.130749] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 07/29/2021] [Accepted: 07/30/2021] [Indexed: 12/12/2022]
Abstract
To improve the quality of cultured large yellow croaker (Larimichthys crocea), this study was performed to study the impacts of glycerol monolaurate (GML) on the nutritional value, growth performance, muscle texture, and taste intensity of L. crocea. The results showed that GML as a feed additive significantly increased the crude lipid content and reduced the diameters of muscle fibers, which in turn markedly altered the flesh texture in terms of cohesiveness. Moreover, the taste indicators (umami and richness) and flavor-related amino acid (glutamic acid, glycine, and proline) contents of L. crocea muscle were significantly higher in the GML group. Metabolomic and gene expression analyses showed that GML supplementation could significantly improve amino acid biosynthesis and metabolism, promote protein and lipid synthesis, and activate myogenic-related signaling pathways of L. crocea. Consequently, adding an appropriate amount of GML to fish feed would be conducive to providing healthy, nutrient-rich and acceptably flavored aquatic-products.
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Affiliation(s)
- Jing Wang
- Ningbo Research Institute, Zhejiang University, Ningbo 315100, China; College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
| | - Huiqi Jiang
- Ningbo Research Institute, Zhejiang University, Ningbo 315100, China; College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
| | - Yasmin Alhamoud
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China; Department of Food Engineering, Faculty of Chemical and Petroleum Engineering, Al-Baath University, Homs, Syria
| | - Yong Chen
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China; College of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou 310058, China
| | - Jiachen Zhuang
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
| | - Tao Liu
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
| | - Luyun Cai
- Ningbo Research Institute, Zhejiang University, Ningbo 315100, China; College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
| | - Weiliang Shen
- Ningbo Academy of Oceanology and Fishery, Ningbo 315100, China
| | - Xiongfei Wu
- Ningbo Academy of Oceanology and Fishery, Ningbo 315100, China
| | - Weiqiang Zheng
- State Key Laboratory of Large Yellow Croaker Breeding, Ningde Fufa Fisheries Company Limited, Ningde 352103, China
| | - Fengqin Feng
- Ningbo Research Institute, Zhejiang University, Ningbo 315100, China; College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.
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Non-targeted discovery of class-distinguishing metabolites in Argentinian pacu fish by comprehensive two-dimensional gas chromatography with principal component analysis. Microchem J 2021. [DOI: 10.1016/j.microc.2021.106004] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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Panserat S, Plagnes-Juan E, Gazzola E, Palma M, Magnoni LJ, Marandel L, Viegas I. Hepatic Glycerol Metabolism-Related Genes in Carnivorous Rainbow Trout ( Oncorhynchus mykiss): Insights Into Molecular Characteristics, Ontogenesis, and Nutritional Regulation. Front Physiol 2020; 11:882. [PMID: 32848841 PMCID: PMC7413064 DOI: 10.3389/fphys.2020.00882] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2020] [Accepted: 06/29/2020] [Indexed: 12/29/2022] Open
Abstract
Glycerol metabolism in rainbow trout is poorly studied even though it is at the interface between lipid and glucose metabolism. Moreover, glycerol can be an important ingredient in new aquafeed formulation to decrease the catabolism of dietary amino acids. Thus, the present study aimed to characterize for the first time the different genes coding for key enzymes and proteins involved in hepatic glycerol metabolism. From the trout genomes, all the paralogous genes coding for glycerol transport (aqp9b), glycerol kinase (gk2a and gk5), glycerol-3-phosphate phosphatase (pgp), and glycerol-3-phosphate dehydrogenase (gpd1a, gpd1b, and gpd1c) were identified. The ontogenesis determined that the capacity to metabolize glycerol begins with the apparition of the liver during the development (stage 22) and are more expressed at the endogenous–exogenous feeding period (stage 35). The postprandial regulation of the expression of these genes in juvenile trout showed that the postprandial peak of expression is between 4 and 24 h after the last meal for many of the genes, demonstrating that glycerol metabolism could be nutritionally regulated at a molecular level. However, surprisingly, no regulation of the mRNA abundance for the glycerol metabolism-related genes by different levels of dietary glycerol (0, 2.5, and 5%) have been detected, showing that hepatic glycerol metabolism is poorly regulated at a molecular level by dietary glycerol in rainbow trout juveniles.
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Affiliation(s)
- Stephane Panserat
- INRAE, Université de Pau et des Pays de l'Adour, E2S UPPA, NuMéA, Saint-Pée-sur-Nivelle, France
| | - Elisabeth Plagnes-Juan
- INRAE, Université de Pau et des Pays de l'Adour, E2S UPPA, NuMéA, Saint-Pée-sur-Nivelle, France
| | - Elsa Gazzola
- INRAE, Université de Pau et des Pays de l'Adour, E2S UPPA, NuMéA, Saint-Pée-sur-Nivelle, France
| | - Mariana Palma
- Centre for Functional Ecology, Department of Life Sciences, University of Coimbra, Coimbra, Portugal
| | - Leonardo J Magnoni
- Interdisciplinary Centre of Marine and Environmental Research (CIIMAR), University of Porto, Matosinhos, Portugal
| | - Lucie Marandel
- INRAE, Université de Pau et des Pays de l'Adour, E2S UPPA, NuMéA, Saint-Pée-sur-Nivelle, France
| | - Ivan Viegas
- Centre for Functional Ecology, Department of Life Sciences, University of Coimbra, Coimbra, Portugal.,Centre for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal
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