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Tan K, Lim L, Peng Y, Cheong KL. Effects of food processing on the lipid nutritional quality of commercially important fish and shellfish. Food Chem X 2023; 20:101034. [PMID: 38144794 PMCID: PMC10739925 DOI: 10.1016/j.fochx.2023.101034] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 11/21/2023] [Accepted: 11/23/2023] [Indexed: 12/26/2023] Open
Abstract
Fish and shellfish are important sources of high quality lipids, especially omega-3 long-chain polyunsaturated fatty acids. In most countries, seafood is eaten cooked to eliminate any potential parasites and pathogens. In addition, cold storage plays an important role in extending the shelf life of seafood. However, both cooking and storage processes can cause alterations in the lipid content and fatty acid profile of fish and shellfish. Although the lipid nutritional quality of fish and shellfish have recently been reviewed, these reviews mainly focus on raw seafood, and information on the impact of food processing on the lipid nutritional quality of fish and shellfish still lacks coherence. Therefore, this study was carried out to provides a critical reviews on the effects of food processing, especially cooking and cold storge, on the lipid nutritional quality of fish and shellfish. Overall, from the perspective of lipid nutritional quality, baking and steaming are the most recommended cooking methods for fish and shellfish, respectively, while it is strongly not recommended to fry seafood with margarine. For cold storage, 3 days and 2 weeks are the most recommended storage periods for refrigeration and frozen storage, respectively. This article can provides consumers with useful information to choose food preparation and storage methods based on their personal interest in specific lipid nutritional quality indicators.
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Affiliation(s)
- Karsoon Tan
- College of Marine Science, Guangxi Key Laboratory of Beibu Gulf Biodiversity Conservation, Beibu Gulf Ocean Development Research Center, Beibu Gulf University, Qinzhou, Guangxi, China
| | - Leongseng Lim
- Borneo Marine Research Institute, Universiti Malaysia Sabah, Kota Kinabalu, Sabah, Malaysia
| | - Ya Peng
- College of Marine Science, Guangxi Key Laboratory of Beibu Gulf Biodiversity Conservation, Beibu Gulf Ocean Development Research Center, Beibu Gulf University, Qinzhou, Guangxi, China
| | - Kit-Leong Cheong
- Guangdong Provincial Key Laboratory of Aquatic Product Processing and Safety, College of Food Science and Technology, Guangdong Ocean University, Zhanjiang 524088, China
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Gadgil MD, Wood AC, Karaman I, Graça G, Tzoulaki I, Zhong VW, Greenland P, Kanaya AM, Herrington DM. Metabolomic Profile of the Healthy Eating Index-2015 in the Multiethnic Study of Atherosclerosis. J Nutr 2023; 153:2174-2180. [PMID: 37271414 PMCID: PMC10493432 DOI: 10.1016/j.tjnut.2023.05.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 05/24/2023] [Accepted: 05/31/2023] [Indexed: 06/06/2023] Open
Abstract
BACKGROUND Poor diet quality is a risk factor for type 2 diabetes and cardiovascular disease. However, knowledge of metabolites marking adherence to Dietary Guidelines for Americans (2015 version) are limited. OBJECTIVES The goal was to determine a pattern of metabolites associated with the Healthy Eating Index (HEI)-2015, which measures adherence to the Dietary Guidelines for Americans. METHODS The analysis examined 3557 adult men and women from the longitudinal cohort Multiethnic Study of Atherosclerosis (MESA), without known cardiovascular disease and with complete dietary data. Fasting serum specimens and diet and demographic questionnaires were assessed at baseline. Untargeted 1H 1-dimensional nuclei magnetic resonance spectroscopy (600 MHz) was used to generate metabolomics and lipidomics. A metabolome-wide association study specified each spectral feature as outcomes, HEI-2015 score as predictor, adjusting for age, sex, race, and study site in linear regression analyses. Subsequently, hierarchical clustering defined the discrete groups of correlated nuclei magnetic resonance features associated with named metabolites, and the linear regression analysis assessed for associations with HEI-2015 total and component scores. RESULTS The sample included 50% women with an mean age of 63 years, with 40% identifying as White, 23% as Black, 24% as Hispanic, and 13% as Chinese American. The mean HEI-2015 score was 66. The metabolome-wide association study identified 179 spectral features significantly associated with HEI-2015 score. The cluster analysis identified 7 clusters representing 4 metabolites; HEI-2015 score was significantly associated with all. HEI-2015 score was associated with proline betaine [β = 0.12 (SE = 0.02); P = 4.70 × 10-13] and was inversely related to proline [β = -0.13 (SE = 0.02); P = 4.45 × 10-14], 1,5 anhydrosorbitol [β = -0.08 (SE = 0.02); P = 4.37 × 10-7] and unsaturated fatty acyl chains [β = 0.08 (SE = 0.02); P = 8.98 × 10-7]. Intake of total fruit, whole grains, and seafood and plant proteins was associated with proline betaine. CONCLUSIONS Diet quality is significantly associated with unsaturated fatty acyl chains, proline betaine, and proline. Further analysis may clarify the link between diet quality, metabolites, and pathogenesis of cardiometabolic disease.
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Affiliation(s)
- Meghana D Gadgil
- Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, CA, United States.
| | - Alexis C Wood
- USDA/ARS Children's Nutrition Research Center, Houston, TX United States
| | - Ibrahim Karaman
- National Phenome Centre, Imperial College London, Hammersmith Hospital Campus, London, United Kingdom
| | - Goncalo Graça
- Section of Bioinformatics, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, Sir Alexander Fleming Building, London, United Kingdom
| | - Ioanna Tzoulaki
- National Phenome Centre, Imperial College London, Hammersmith Hospital Campus, London, United Kingdom
| | - Victor W Zhong
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Philip Greenland
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Alka M Kanaya
- Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, CA, United States
| | - David M Herrington
- Section on Cardiovascular Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, United States
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Dietary Strawberries Improve Serum Metabolites of Cardiometabolic Risks in Adults with Features of the Metabolic Syndrome in a Randomized Controlled Crossover Trial. Int J Mol Sci 2023; 24:ijms24032051. [PMID: 36768375 PMCID: PMC9916764 DOI: 10.3390/ijms24032051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 01/17/2023] [Accepted: 01/18/2023] [Indexed: 01/22/2023] Open
Abstract
Dietary strawberries have been shown to improve cardiometabolic risks in multiple clinical trials. However, no studies have reported effects on serum metabolomic profiles that may identify the target pathways affected by strawberries as underlying mechanisms. We conducted a 14-week randomized, controlled crossover study in which participants with features of metabolic syndrome were assigned to one of the three arms for four weeks separated by a one-week washout period: control powder, 1 serving (low dose: 13 g strawberry powder/day), or 2.5 servings (high dose: 32 g strawberry powder/day). Blood samples, anthropometric measures, blood pressure, and dietary and physical activity data were collected at baseline and at the end of each four-week phase of intervention. Serum samples were analyzed for primary metabolites and complex lipids using different mass spectrometry methods. Mixed-model ANOVA was used to examine differences in the targeted metabolites between treatment phases, and LASSO logistic regression was used to examine differences in the untargeted metabolites at end of the strawberry intervention vs. the baseline. The findings revealed significant differences in the serum branched-chain amino acids valine and leucine following strawberry intervention (high dose) compared with the low-dose and control phases. Untargeted metabolomic profiles revealed several metabolites, including serum phosphate, benzoic acid, and hydroxyphenyl propionic acid, that represented improved energy-metabolism pathways, compliance measures, and microbial metabolism of strawberry polyphenols, respectively. Thus, dietary supplementation of strawberries significantly improves the serum metabolic profiles of cardiometabolic risks in adults.
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Xu H, Li T, Zhang H, Shi C, Cao J, Zhang X. The application of oleogels in food products: Classification, preparation, and characterisation. ACTA ALIMENTARIA 2022. [DOI: 10.1556/066.2022.00099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Abstract
Oleogels have been extensively investigated in the food processing in recent years, and they have become one of the healthier alternative. The possibility of constructing oleogel material in a manner similar to hydrocolloid gel has now been gradually becoming a reality. In this regard, this review provides coverage of the latest developments and applications of oleogels in terms of preparation strategies, physicochemical properties, health aspects, and potential food applications. Both solid fat content and crystallisation behaviour are discussed for oleogels fabricated by gelators and under different conditions. Oleogels could replace hydrogenated vegetable oils in food product, reduce the fatty acid content, and be used to prepare food products such as meat, ice-cream, chocolate, bread, and biscuits with desirable properties. The aims were to assess the formation mechanism, construction methods of oleogels and the advance on the application of oleogel structures in the food field, as well as the further exploration of oleogels and in complex food systems in the future.
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Affiliation(s)
- H.J. Xu
- School of Function Food and Wine, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang 110016, China
| | - T. Li
- School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang 110016, China
| | - H.X. Zhang
- School of Function Food and Wine, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang 110016, China
| | - C.H. Shi
- School of Function Food and Wine, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang 110016, China
| | - J.Q. Cao
- School of Function Food and Wine, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang 110016, China
| | - X.R. Zhang
- School of Function Food and Wine, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang 110016, China
- School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang 110016, China
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López-Montoya P, Cerqueda-García D, Rodríguez-Flores M, López-Contreras B, Villamil-Ramírez H, Morán-Ramos S, Molina-Cruz S, Rivera-Paredez B, Antuna-Puente B, Velázquez-Cruz R, Villarreal-Molina T, Canizales-Quinteros S. Association of Gut Microbiota with Atherogenic Dyslipidemia, and Its Impact on Serum Lipid Levels after Bariatric Surgery. Nutrients 2022; 14:nu14173545. [PMID: 36079803 PMCID: PMC9460232 DOI: 10.3390/nu14173545] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 08/18/2022] [Accepted: 08/23/2022] [Indexed: 11/25/2022] Open
Abstract
Gut microbiota has been suggested to modulate circulating lipids. However, the relationship between the gut microbiota and atherogenic dyslipidemia (AD), defined as the presence of both low HDL-C and hypertriglyceridemia, is not fully understood. Moreover, because obesity is among the main causes of secondary AD, it is important to analyze the effect of gut microbiota composition on lipid profiles after a weight loss intervention. We compared the microbial diversity and taxonomic composition in patients with AD (n = 41) and controls (n = 38) and sought correlations of genera abundance with serum lipid levels in 20 patients after weight loss induced by Roux-en-Y gastric bypass (RYGB) surgery. Gut microbiota composition was profiled using next-generation sequencing of 16S rRNA. Gut microbiota diversity was significantly lower in atherogenic dyslipidemia. Moreover, relative abundance of two genera with LDA score >3.5 (Megasphaera and LPS-producing Escherichia-Shigella), was significantly higher in AD subjects, while the abundance of four short chain fatty acids (SCFA) producing-genera (Christensenellaceae R-7, Ruminococcaceae UCG-014; Akkermansia and [Eubacterium] eligens group) was significantly higher in controls. Notably, [Eubacterium] eligens group abundance was also significantly associated with higher HDL-C levels in RYGB patients one year after surgery. Although dietary polyunsaturated fatty acid/saturated fatty acid (PUFA/SFA) ratio and PUFA intake were higher in controls than in AD subjects, of the four genera differentiated in cases and controls, only Akkermansia abundance showed a positive and significant correlation with PUFA/SFA ratio. Our results suggest that SCFA-producing bacteria promote a healthy lipid homeostasis, while the presence of LPS-producing bacteria such Escherichia-Shigella may contribute to the development of atherogenic dyslipidemia.
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Affiliation(s)
- Priscilla López-Montoya
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, Universidad Nacional Autónoma de México (UNAM), Mexico City 14610, Mexico
- Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City 14610, Mexico
- Programa de Maestría en Ciencias Bioquímicas, Facultad de Química, Universidad Nacional Autónoma de México (UNAM), Mexico City 04510, Mexico
| | - Daniel Cerqueda-García
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, Universidad Nacional Autónoma de México (UNAM), Mexico City 14610, Mexico
- Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City 14610, Mexico
| | - Marcela Rodríguez-Flores
- Unidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City 14080, Mexico
| | - Blanca López-Contreras
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, Universidad Nacional Autónoma de México (UNAM), Mexico City 14610, Mexico
- Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City 14610, Mexico
| | - Hugo Villamil-Ramírez
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, Universidad Nacional Autónoma de México (UNAM), Mexico City 14610, Mexico
- Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City 14610, Mexico
| | - Sofía Morán-Ramos
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, Universidad Nacional Autónoma de México (UNAM), Mexico City 14610, Mexico
- Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City 14610, Mexico
| | - Selene Molina-Cruz
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, Universidad Nacional Autónoma de México (UNAM), Mexico City 14610, Mexico
- Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City 14610, Mexico
- Programa de Doctorado en Ciencias Biomédicas, Universidad Nacional Autónoma de México (UNAM), Mexico City 04510, Mexico
| | - Berenice Rivera-Paredez
- Centro de Investigación en Políticas, Población y Salud (CIPPS), Facultad de Medicina-UNAM, Mexico City 04510, Mexico
| | - Bárbara Antuna-Puente
- Infection Disease Division, Department of Medicine, Queen’s University, Kingston, ON K7L3N6, Canada
| | | | | | - Samuel Canizales-Quinteros
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, Universidad Nacional Autónoma de México (UNAM), Mexico City 14610, Mexico
- Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City 14610, Mexico
- Correspondence:
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