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Bjørklund Holven K, Sonestedt E. Milk and dairy products - a scoping review for Nordic Nutrition Recommendations 2023. Food Nutr Res 2024; 68:10486. [PMID: 39781268 PMCID: PMC11708500 DOI: 10.29219/fnr.v68.10486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 01/12/2023] [Accepted: 01/03/2024] [Indexed: 01/12/2025] Open
Abstract
Milk and dairy products are major sources of protein, calcium, and other micronutrients. Milk and dairy products contribute with approximately half of the total intake of saturated fat in the Nordic and Baltic diets. Saturated fat is an important determinant of plasma total and low density lipoprotein (LDL)-cholesterol concentrations, and a causal relationship between high LDL-cholesterol and atherosclerotic cardiovascular disease has consistently been documented. The aim of this scoping review is to describe the evidence for the role of milk and dairy products for health-related outcomes as a basis for setting and updating food-based dietary guidelines. Two qualified systematic reviews were included (World Cancer Research Fund and a systematic review for the US Dietary Guidelines Advisory Committee 2020). In addition, systematic reviews published between January 2011 and January 2022 were considered, screened (555 records) and evaluated (159 records) for this review. The systematic reviews suggest that milk or dairy consumption is not associated with increased risk of cardiovascular disease and dyslipidaemia. Current evidence suggests an inverse association with some cardiometabolic risk factors, such as total and LDL-cholesterol, especially regarding fermented dairy products (i.e. yogurt and cheese). There was evidence of an association between intake of dairy products and reduced risk of colorectal cancer. Some studies reported an inverse association between intake of dairy and type 2 diabetes or markers of impaired glucose homeostasis, especially for low-fat dairy, yoghurt, and cheese. Most studies suggest that intake of milk or dairy is not associated with increased risk of cardiovascular risk and some suggestions of inverse association, especially with low-fat products and fermented dairy products, were found with respect to cardiovascular disease, type 2 diabetes, and colorectal cancer. Milk or dairy products are important dietary sources of calcium and iodine, and are fully compatible with a healthy dietary pattern.
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Affiliation(s)
| | - Emily Sonestedt
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
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Slurink IAL, Vogtschmidt YD, Brummel B, Smeets T, Kupper N, Soedamah-Muthu SS. Dairy Intake in Relation to Prediabetes and Continuous Glycemic Outcomes: A Systematic Review and Dose-Response Meta-Analysis of Prospective Cohort Studies. Curr Dev Nutr 2024; 8:104470. [PMID: 39559723 PMCID: PMC11570412 DOI: 10.1016/j.cdnut.2024.104470] [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: 04/29/2024] [Revised: 09/20/2024] [Accepted: 09/26/2024] [Indexed: 11/20/2024] Open
Abstract
Background Modest inverse associations have been found between dairy intake, particularly yogurt, and type 2 diabetes risk. Investigating associations of dairy intake with early onset of type 2 diabetes offers opportunities for effective prevention of this condition. Objectives This study aims to investigate the relationships between the intake of different dairy types, prediabetes risk, and continuous glycemic outcomes. Methods Systematic literature searches across multiple databases were performed of studies published up to September 2023. Included were prospective cohort studies in healthy adults that examined the association between dairy intake and prediabetes risk according to diagnostic criteria, or continuous glycemic markers. A dose-response random-effects meta-analysis was used to derive incremental relative risks (RRs) for associations of total dairy, fermented dairy, milk, yogurt, cheese (all total, high-fat, and low-fat), cream, and ice cream with prediabetes risk adjusted for sociodemographic, health and cardiometabolic risk factors, and dietary characteristics. Results The meta-analyses encompassed 6653 prediabetes cases among 95,844 individuals (age range 45.5-65.5 y) including 6 articles describing 9 cohorts. A quadratic inverse association was observed for total dairy intake and prediabetes risk, with the lowest risk at 3.4 servings/d (RR: 0.75; 95% confidence interval: 0.60, 0.93; I 2 = 18%). Similarly, total, and high-fat cheese exhibited nonlinear inverse associations with prediabetes risk, showing the lowest risk at 2.1 servings/d (0.86; 0.78, 0.94; I 2 = 0%, and 0.90; 0.81, 0.99; I 2 = 12%), but a higher risk at intakes exceeding 4 servings/d. Ice cream intake was linearly associated with prediabetes risk (0.85; 0.73, 0.99; I 2 = 0% at the highest median intake of 0.23 servings/d). Other dairy types showed no statistically significant associations. The systematic review on dairy intake and glycemic outcomes showed considerable variabilities in design and results. Conclusions The findings suggest an inverse association between moderate dairy and cheese intake in preventing prediabetes. The potential for reverse causation and residual confounding highlights the need for studies with comprehensive repeated measurements. Trial registration number PROSPERO 2023 CRD42023431251.
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Affiliation(s)
- Isabel AL Slurink
- Center of Research on Psychological disorders and Somatic Diseases (CoRPS), Department of Medical and Clinical Psychology, Tilburg University, Tilburg, The Netherlands
| | - Yakima D Vogtschmidt
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences, University of Reading, Reading, United Kingdom
- Institute for Cardiovascular and Metabolic Research, University of Reading, Reading, United Kingdom
- Institute for Food, Nutrition and Health, University of Reading, Reading, United Kingdom
| | - Bo Brummel
- Center of Research on Psychological disorders and Somatic Diseases (CoRPS), Department of Medical and Clinical Psychology, Tilburg University, Tilburg, The Netherlands
| | - Tom Smeets
- Center of Research on Psychological disorders and Somatic Diseases (CoRPS), Department of Medical and Clinical Psychology, Tilburg University, Tilburg, The Netherlands
| | - Nina Kupper
- Center of Research on Psychological disorders and Somatic Diseases (CoRPS), Department of Medical and Clinical Psychology, Tilburg University, Tilburg, The Netherlands
| | - Sabita S Soedamah-Muthu
- Center of Research on Psychological disorders and Somatic Diseases (CoRPS), Department of Medical and Clinical Psychology, Tilburg University, Tilburg, The Netherlands
- Institute for Food, Nutrition and Health, University of Reading, Reading, United Kingdom
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Slurink IAL, Kupper N, Smeets T, Soedamah-Muthu SS. Dairy consumption and risk of prediabetes and type 2 diabetes in the Fenland study. Clin Nutr 2024; 43:69-79. [PMID: 39353264 DOI: 10.1016/j.clnu.2024.09.026] [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: 04/05/2024] [Revised: 08/25/2024] [Accepted: 09/11/2024] [Indexed: 10/04/2024]
Abstract
BACKGROUND & AIMS Limited observational evidence suggests that a higher intake of high-fat dairy may be associated with lower prediabetes risk, while opposite associations have been observed for low-fat milk intake. This study aimed to examine associations between baseline and changes in dairy consumption, risk of prediabetes, and glycaemic status. METHODS 7521 participants from the prospective UK Fenland study were included (mean age 48.7 ± 2.0 years, 51.9 % female). Dairy intake was measured using self-reported food frequency questionnaires. Associations with prediabetes risk and glycaemic status were analysed using Poisson regression models adjusted for social demographics, health behaviours, family history of diabetes and food group intake. RESULTS At a mean follow-up of 6.7 ± 2.0 years, 290 participants developed prediabetes (4.3 %). Most dairy products were not significantly associated with prediabetes risk. A higher baseline intake of high-fat dairy (RRservings/day 1.20, 95%CI 1.03-1.39) and high-fat milk (RRservings/day 1.22, 1.01-1.47) were associated with higher prediabetes risk. Conversely, low-fat milk was associated with lower prediabetes risk (RRservings/day 0.86, 0.75-0.98). In the analyses evaluating dietary changes over time, increases in high-fat milk were inversely associated with risk of progressing from normoglycaemia to prediabetes or type 2 diabetes (RRservings/day 0.86, 95%CI 0.75-0.99). CONCLUSIONS This population-based study showed that most dairy products are not associated with prediabetes risk or progression in glycaemic status. Positive associations of high-fat dairy, high-fat milk, and the inverse association of low-fat milk with prediabetes risk found were inconsistent with prior literature and suggestive of the need for future research on environmental, behavioural, and biological factors that explain the available evidence.
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Affiliation(s)
- Isabel A L Slurink
- Center of Research on Psychological Disorders and Somatic Diseases (CoRPS), Department of Medical and Clinical Psychology, Tilburg University, PO Box 90153, 5000 LE, Tilburg, the Netherlands.
| | - Nina Kupper
- Center of Research on Psychological Disorders and Somatic Diseases (CoRPS), Department of Medical and Clinical Psychology, Tilburg University, PO Box 90153, 5000 LE, Tilburg, the Netherlands
| | - Tom Smeets
- Center of Research on Psychological Disorders and Somatic Diseases (CoRPS), Department of Medical and Clinical Psychology, Tilburg University, PO Box 90153, 5000 LE, Tilburg, the Netherlands
| | - Sabita S Soedamah-Muthu
- Center of Research on Psychological Disorders and Somatic Diseases (CoRPS), Department of Medical and Clinical Psychology, Tilburg University, PO Box 90153, 5000 LE, Tilburg, the Netherlands; Institute for Food, Nutrition and Health, University of Reading, Reading RG6 6AR, United Kingdom
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Wang T, Huang C, Li J, Wu X, Fu X, Hu Y, Wu G, Yang C, Chen S. Causal influence of plasma metabolites on age-related macular degeneration: A Mendelian randomization study. Medicine (Baltimore) 2024; 103:e39400. [PMID: 39287235 PMCID: PMC11404906 DOI: 10.1097/md.0000000000039400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 07/31/2024] [Accepted: 08/01/2024] [Indexed: 09/19/2024] Open
Abstract
Using genome-wide association study data from European populations, this research clarifies the causal relationship between plasma metabolites and age-related macular degeneration (AMD) and employs Metabo Analyst 5.0 for enrichment analysis to investigate their metabolic pathways. Employing Mendelian randomization analysis, this study leveraged single nucleotide polymorphisms significantly associated with plasma metabolites as instrumental variables. This approach established a causal link between metabolites and AMD. Analytical methods such as inverse-variance weighted, Mendelian randomization-Egger, and weighted median were applied to validate causality. Mendelian Randomization Pleiotropy Residual Sum and Outlier was utilized for outlier detection and correction, and Cochran's Q test was conducted to assess heterogeneity. To delve deeper into the metabolic characteristics of AMD, metabolic enrichment analysis was performed using Metabo Analyst 5.0. These combined methods provided a robust framework for elucidating the metabolic underpinnings of AMD. The 2-sample MR analysis, after meticulous screening, identified causal relationships between 88 metabolites and AMD. Of these, 16 metabolites showed a significant causal association. Following false discovery rate correction, 3 metabolites remained significantly associated, with androstenediol (3 beta, 17 beta) disulfate (2) exhibiting the most potent protective effect against AMD. Further exploration using Metabo Analyst 5.0 highlighted 4 metabolic pathways potentially implicated in AMD pathogenesis. This pioneering MR study has unraveled the causal connections between plasma metabolites and AMD. It identified several metabolites with a causal impact on AMD, with 3 maintaining significance after FDR correction. These insights offer robust causal evidence for future clinical applications and underscore the potential of these metabolites as clinical biomarkers in AMD screening, treatment, and prevention strategies.
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Affiliation(s)
- Tao Wang
- Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong, China
- The Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, China
| | - Chun Huang
- Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong, China
- The Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, China
| | - Jinshuai Li
- Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong, China
- The Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, China
| | - Xiangjian Wu
- Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong, China
- The Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, China
| | - Xiaoyan Fu
- Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong, China
- The Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, China
| | - Yimin Hu
- Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong, China
| | - Geping Wu
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
| | - Chunfeng Yang
- Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong, China
- The Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, China
| | - Sheng Chen
- Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong, China
- The Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, China
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Pokala A, Kraft J, Taormina VM, Michalski MC, Vors C, Torres-Gonzalez M, Bruno RS. Whole milk dairy foods and cardiometabolic health: dairy fat and beyond. Nutr Res 2024; 126:99-122. [PMID: 38669850 DOI: 10.1016/j.nutres.2024.03.010] [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: 12/11/2023] [Revised: 03/13/2024] [Accepted: 03/19/2024] [Indexed: 04/28/2024]
Abstract
Bovine dairy milk is a nutrient-rich matrix, but consumption of full-fat dairy food varieties has been claimed historically to be associated with poorer cardiometabolic health, a notion often attributed to the saturated fat content. However, continued investigation that includes observational studies and randomized controlled trials (RCTs) provide evidence that favorably supports full-fat dairy foods and their bioactive components on cardiometabolic health. This review addresses this controversy by examining the evidence surrounding full-fat dairy foods and their implications for human health. Dairy foods are heterogeneous, not just in their fat content but also in other compositional aspects within and between fermented (e.g., yogurt, cheese) and nonfermented products (e.g., milk) that could differentially influence cardiometabolic health. Drawing from complementary lines of evidence from epidemiological studies and RCTs, this review describes the health effects of dairy foods regarding their fat content, as well as their polar lipids that are concentrated in the milk fat globule fraction. Observational studies have limitedly supported the consumption of full-fat dairy to protect against cardiometabolic disorders. However, this framework has been disputed by RCTs indicating that dairy foods, regardless of their fat content or fermentation, are not detrimental to cardiometabolic health and may instead alleviate certain cardiometabolic risk factors. As dietary recommendations evolve, which currently indicate to avoid full-fat dairy foods, it is essential to consider the totality of evidence, especially from RCTs, while also recognizing that investigation is needed to evaluate the complexity of dairy foods within diverse dietary patterns and their impacts on cardiometabolic health.
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Affiliation(s)
- Avinash Pokala
- Human Nutrition Program, The Ohio State University, Columbus, Ohio, 43210, USA
| | - Jana Kraft
- Department of Animal and Veterinary Sciences, The University of Vermont, Burlington, Vermont, 05405, USA
| | - Victoria M Taormina
- Department of Animal and Veterinary Sciences, The University of Vermont, Burlington, Vermont, 05405, USA
| | - Marie-Caroline Michalski
- INRAE, UMR1397, Inserm, U1060, Université Claude Bernard Lyon 1, CarMeN laboratory, Pierre-Bénite, FR
| | - Cécile Vors
- INRAE, UMR1397, Inserm, U1060, Université Claude Bernard Lyon 1, CarMeN laboratory, Pierre-Bénite, FR
| | | | - Richard S Bruno
- Human Nutrition Program, The Ohio State University, Columbus, Ohio, 43210, USA.
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Wang T, Li J, Huang C, Wu X, Fu X, Yang C, Li M, Chen S. COPD and T2DM: a Mendelian randomization study. Front Endocrinol (Lausanne) 2024; 15:1302641. [PMID: 38390207 PMCID: PMC10883379 DOI: 10.3389/fendo.2024.1302641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 01/16/2024] [Indexed: 02/24/2024] Open
Abstract
Introduction Type 2 diabetes (T2DM) stands as a global chronic illness, exerting a profound impact on health due to its complications and generating a significant economic burden. Recently, observational studies have pointed toward a potential link between Chronic Obstructive Pulmonary Disease (COPD) and T2DM. To elucidate this causal connection, we employed the Mendelian randomization analysis. Method Our study involved a two-sample Mendelian randomization (MR) analysis on COPD and T2DM. Additionally, tests for heterogeneity and horizontal pleiotropy were performed. Results For the MR analysis, 26 independent single nucleotides polymorphisms (SNPs) with strong associations to COPD were chosen as instrumental variables. Our findings suggest a pronounced causal relationship between COPD and T2DM. Specifically, COPD emerges as a risk factor for T2DM, with an odds ratio (OR) of 1.06 and a 95% confidence interval ranging from 1.01 to 1.11 (P = 0.006). Notably, all results were devoid of any heterogeneity or pleiotropy. Conclusion The MR analysis underscores a significant causal relationship between COPD and T2DM, highlighting COPD as a prominent risk factor for T2DM.
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Affiliation(s)
| | | | | | | | | | | | | | - Sheng Chen
- The Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, China
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Jensen CF, Timofeeva M, Berg-Beckhoff G. Milk consumption and the risk of type 2 diabetes: A systematic review of Mendelian randomization studies. Nutr Metab Cardiovasc Dis 2023; 33:1316-1322. [PMID: 37246077 DOI: 10.1016/j.numecd.2023.04.013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 04/14/2023] [Accepted: 04/18/2023] [Indexed: 05/30/2023]
Abstract
AIMS Previously, no relationship between milk consumption and the risk of type 2 diabetes has been found in prospective cohorts. However, Mendelian randomization allows researchers to almost bypass much residual confounding, providing a more precise effect estimate. This systematic review aims to investigate the risk of type 2 diabetes and levels of HbA1c by assessing all Mendelian Randomization studies investigating this subject matter. DATA SYNTHESIS PubMed and EMBASE were searched from October 2021 through February 2023. Inclusion and exclusion criteria were formulated to filter out irrelevant studies. Studies were qualitatively assessed with STROBE-MR together with a list of five MR criteria. Six studies were identified, containing several thousand participants. All studies used the SNP rs4988235 as the main exposure and type 2 diabetes and/or HbA1c as the main outcome. Five studies were graded as "good" with STROBE-MR, with one graded as "fair". For the six MR criteria, five studies were graded "good" in four criteria, while two studies were graded "good" in two criteria. Overall, genetically predicted milk consumption did not seem to be associated with an increased risk of type 2 diabetes. CONCLUSIONS This systematic review found that genetically predicted milk consumption did not seem to increase the risk of type 2 diabetes. Future Mendelian randomization studies concerning this topic should consider conducting two-sample Mendelian Randomization studies, in order to derive a more valid effect estimate.
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Affiliation(s)
| | - Maria Timofeeva
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, Danish Institute of Advanced Study, University of Southern Denmark, Odense, Denmark
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Momin SR, Senn MK, Manichaikul A, Yang C, Mathias R, Phan M, Rich SS, Sergeant S, Seeds M, Reynolds L, Chilton FH, Wood AC. Dietary Sources of Linoleic Acid (LA) Differ by Race/Ethnicity in Adults Participating in the National Health and Nutrition Examination Survey (NHANES) between 2017-2018. Nutrients 2023; 15:2779. [PMID: 37375683 DOI: 10.3390/nu15122779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 05/30/2023] [Accepted: 06/05/2023] [Indexed: 06/29/2023] Open
Abstract
Linoleic acid (LA) is a primary n-6 polyunsaturated fatty acid (PUFA), which is of interest to nutritional professionals as it has been associated with health outcomes. However, as some LA-rich foods offer protection against chronic diseases such as CVD (e.g., fatty fish), while others increase risk (e.g., red meat), the individual foods contributing to LA intake may be an important factor to consider. Therefore, this analysis sought to examine whether there are racial/ethnic differences in the proportion of overall LA intake accounted for by individual food groups, via a cross-sectional analysis of 3815 adults participating in the National Health and Nutrition Examination Survey (NHANES; 2017-2018 cycle). Separate multivariable linear regressions models specified the proportion of overall LA intake attributable to each of the nine food groups (dairy, eggs, fat, fish, fruits and vegetables, grains, meat, nuts, and sweets) as the outcome, and race/ethnicity as the predictor, with age, gender, and socioeconomic status (SES) as covariates, in order to estimate whether there were mean differences by race/ethnicity in the proportion of overall LA intake attributable to each of these foods seperately. After a Bonferroni correction for multiple testing, eggs, grains, fruits and vegetables, meat, and fish each accounted for a different proportion of overall LA intake according to racial/ethnic grouping (all p < 0.006 after a Bonferroni correction). These findings indicate the food sources of LA in the diet differ by race/ethnicity, and warrant future investigations into whether this plays a role in health disparities.
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Affiliation(s)
- Shabnam R Momin
- USDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Mackenzie K Senn
- USDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA
| | - Chaojie Yang
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA
| | - Rasika Mathias
- Department of Medicine, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Mimi Phan
- USDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA
| | - Susan Sergeant
- Department of Internal Medicine/Section on Molecular Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - Michael Seeds
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - Lindsay Reynolds
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - Floyd H Chilton
- Department of Nutritional Sciences, University of Arizona, Tucson, AZ 85721, USA
| | - Alexis C Wood
- USDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX 77030, USA
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Heianza Y, Xue Q, Rood J, Bray GA, Sacks FM, Qi L. Circulating thrifty microRNA is related to insulin sensitivity, adiposity, and energy metabolism in adults with overweight and obesity: the POUNDS Lost trial. Am J Clin Nutr 2023; 117:121-129. [PMID: 36789931 PMCID: PMC10196610 DOI: 10.1016/j.ajcnut.2022.10.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 09/27/2022] [Accepted: 10/28/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND MicroRNA 128-1 (miR-128-1) was recently linked to the evolutionary adaptation to famine and identified as a thrifty microRNA that controls energy expenditure, contributing to obesity and impaired glucose metabolism. OBJECTIVES We investigated whether circulating miR-128-1-5p and its temporal changes in response to weight-loss diet interventions were related to regulating insulin resistance, adiposity, and energy expenditure in adults with overweight and obesity. We also examined whether habitual physical activity (PA) and different macronutrient intakes modified associations of changes in miR-128-1-5p with improved metabolic outcomes. METHODS This study included 495 adults who consumed weight-loss diets with different macronutrient intakes. Circulating levels of miR-128-1-5p were assessed at baseline and 6 mo after the interventions. Outcome measurements included changes in insulin resistance HOMA-IR, adiposity, and resting energy expenditure. RESULTS We observed significant relations between circulating miR-128-1-5p and the positive selection signals at the 2q21.3 locus assessed by the single nucleotide polymorphisms rs1446585 and rs4988235. Higher miR-128-1-5p levels were associated with greater HOMA-IR (β per 1 SD: 0.08 [SE 0.03]; P = 0.009), waist circumference (β, 1.16 [0.55]; P = 0.036), whole-body total % fat mass (β, 0.75 [0.30]; P = 0.013), and REE (β, 23 [11]; P = 0.037). In addition, higher miR-128-1-5p level was related to lower total PA index (β, -0.23 [0.07]; P = 0.001) and interacted with PA (Pinteraction < 0.05) on changes in HOMA-IR and adiposity. We found that greater increases in miR-128-1-5p levels after the interventions were associated with lesser improvements in HOMA-IR and adiposity in participants with no change/decreases in PA. Furthermore, we found that dietary fat (Pinteraction = 0.027) and protein (Pinteraction= 0.055) intakes modified relations between changes in miR-128-1-5p and REE. CONCLUSIONS Circulating thrifty miRNA was linked to regulating body fat, insulin resistance, and energy metabolism. Temporal changes in circulating miR-128-1-5p were associated with better weight-loss outcomes during the interventions; habitual PA and dietary macronutrient intake may modify such relations. This trial was registered at clinicaltrials.gov as NCT00072995.
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Affiliation(s)
- Yoriko Heianza
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
| | - Qiaochu Xue
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - Jennifer Rood
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA
| | - George A Bray
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA
| | - Frank M Sacks
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
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Domenighetti C, Sugier PE, Ashok Kumar Sreelatha A, Schulte C, Grover S, Mohamed O, Portugal B, May P, Bobbili DR, Radivojkov-Blagojevic M, Lichtner P, Singleton AB, Hernandez DG, Edsall C, Mellick GD, Zimprich A, Pirker W, Rogaeva E, Lang AE, Koks S, Taba P, Lesage S, Brice A, Corvol JC, Chartier-Harlin MC, Mutez E, Brockmann K, Deutschländer AB, Hadjigeorgiou GM, Dardiotis E, Stefanis L, Simitsi AM, Valente EM, Petrucci S, Duga S, Straniero L, Zecchinelli A, Pezzoli G, Brighina L, Ferrarese C, Annesi G, Quattrone A, Gagliardi M, Matsuo H, Kawamura Y, Hattori N, Nishioka K, Chung SJ, Kim YJ, Kolber P, van de Warrenburg BPC, Bloem BR, Aasly J, Toft M, Pihlstrøm L, Correia Guedes L, Ferreira JJ, Bardien S, Carr J, Tolosa E, Ezquerra M, Pastor P, Diez-Fairen M, Wirdefeldt K, Pedersen NL, Ran C, Belin AC, Puschmann A, Hellberg C, Clarke CE, Morrison KE, Tan M, Krainc D, Burbulla LF, Farrer MJ, Krüger R, Gasser T, Sharma M, Elbaz A. Dairy Intake and Parkinson's Disease: A Mendelian Randomization Study. Mov Disord 2022; 37:857-864. [PMID: 34997937 DOI: 10.1002/mds.28902] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 12/08/2021] [Accepted: 12/10/2021] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Previous prospective studies highlighted dairy intake as a risk factor for Parkinson's disease (PD), particularly in men. It is unclear whether this association is causal or explained by reverse causation or confounding. OBJECTIVE The aim is to examine the association between genetically predicted dairy intake and PD using two-sample Mendelian randomization (MR). METHODS We genotyped a well-established instrumental variable for dairy intake located in the lactase gene (rs4988235) within the Courage-PD consortium (23 studies; 9823 patients and 8376 controls of European ancestry). RESULTS Based on a dominant model, there was an association between genetic predisposition toward higher dairy intake and PD (odds ratio [OR] per one serving per day = 1.70, 95% confidence interval = 1.12-2.60, P = 0.013) that was restricted to men (OR = 2.50 [1.37-4.56], P = 0.003; P-difference with women = 0.029). CONCLUSIONS Using MR, our findings provide further support for a causal relationship between dairy intake and higher PD risk, not biased by confounding or reverse causation. Further studies are needed to elucidate the underlying mechanisms. © 2022 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Cloé Domenighetti
- UVSQ, Univ. Paris-Sud, Inserm, Team "Exposome, Heredity, Cancer and Health," CESP, Université Paris-Saclay, Villejuif, France
| | - Pierre-Emmanuel Sugier
- UVSQ, Univ. Paris-Sud, Inserm, Team "Exposome, Heredity, Cancer and Health," CESP, Université Paris-Saclay, Villejuif, France
| | - Ashwin Ashok Kumar Sreelatha
- Centre for Genetic Epidemiology, Institute for Clinical Epidemiology and Applied Biometry, University of Tubingen, Tubingen, Germany
| | - Claudia Schulte
- Department for Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research, University of Tubingen, Tubingen, Germany.,German Center for Neurodegenerative Diseases (DZNE), Tubingen, Germany
| | - Sandeep Grover
- Centre for Genetic Epidemiology, Institute for Clinical Epidemiology and Applied Biometry, University of Tubingen, Tubingen, Germany
| | - Océane Mohamed
- UVSQ, Univ. Paris-Sud, Inserm, Team "Exposome, Heredity, Cancer and Health," CESP, Université Paris-Saclay, Villejuif, France
| | - Berta Portugal
- UVSQ, Univ. Paris-Sud, Inserm, Team "Exposome, Heredity, Cancer and Health," CESP, Université Paris-Saclay, Villejuif, France
| | - Patrick May
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-Belval, Luxembourg
| | - Dheeraj R Bobbili
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-Belval, Luxembourg
| | | | - Peter Lichtner
- Institute of Human Genetics, Helmholtz Zentrum München, Neuherberg, Germany
| | - Andrew B Singleton
- Molecular Genetics Section, Laboratory of Neurogenetics, NIA, NIH, Bethesda, Maryland, USA.,Center For Alzheimer's and Related Dementias, NIA, NIH, Bethesda, Maryland, USA
| | - Dena G Hernandez
- Molecular Genetics Section, Laboratory of Neurogenetics, NIA, NIH, Bethesda, Maryland, USA
| | - Connor Edsall
- Molecular Genetics Section, Laboratory of Neurogenetics, NIA, NIH, Bethesda, Maryland, USA
| | - George D Mellick
- Griffith Institute for Drug Discovery, Griffith University, Nathan, Queensland, Australia
| | | | - Walter Pirker
- Department of Neurology, Wilhelminenspital, Wien, Austria
| | - Ekaterina Rogaeva
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
| | - Anthony E Lang
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada.,Edmond J. Safra Program in Parkinson's Disease, Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, UHN, Toronto, Ontario, Canada.,Division of Neurology, University of Toronto, Toronto, Ontario, Canada.,Krembil Brain Institute, Toronto, Ontario, Canada
| | - Sulev Koks
- Centre for Molecular Medicine and Innovative Therapeutics, Murdoch University, Murdoch, Australia.,Perron Institute for Neurological and Translational Science, Nedlands, Western Australia, Australia
| | - Pille Taba
- Department of Neurology and Neurosurgery, University of Tartu, Tartu, Estonia.,Neurology Clinic, Tartu University Hospital, Tartu, Estonia
| | - Suzanne Lesage
- Department of Neurologie, Sorbonne Université, Institut du Cerveau-Paris Brain Institute-ICM, INSERM, CNRS, Assistance Publique Hôpitaux de Paris, Paris, France
| | - Alexis Brice
- Department of Neurologie, Sorbonne Université, Institut du Cerveau-Paris Brain Institute-ICM, INSERM, CNRS, Assistance Publique Hôpitaux de Paris, Paris, France
| | - Jean-Christophe Corvol
- Department of Neurologie, Sorbonne Université, Institut du Cerveau-Paris Brain Institute-ICM, INSERM, CNRS, Assistance Publique Hôpitaux de Paris, Paris, France.,Department of Neurology, CIC Neurosciences, Assistance Publique Hôpitaux de Paris, Paris, France
| | | | - Eugénie Mutez
- University Lille, Inserm, CHU Lille, UMR-S 1172-LilNCog-Centre de Recherche Lille Neurosciences & Cognition, Lille, France
| | - Kathrin Brockmann
- Department for Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research, University of Tubingen, Tubingen, Germany.,German Center for Neurodegenerative Diseases (DZNE), Tubingen, Germany
| | - Angela B Deutschländer
- Department of Neurology, Ludwig Maximilians University of Munich, München, Germany.,Department of Neurology, Max Planck Institute of Psychiatry, Munich, Germany.,Department of Neurology and Department of Clinical Genomics, Mayo Clinic Florida, Jacksonville, Florida, USA
| | - Georges M Hadjigeorgiou
- Department of Neurology, Laboratory of Neurogenetics, University of Thessaly, University Hospital of Larissa, Larissa, Greece.,Department of Neurology, Medical School, University of Cyprus, Nicosia, Cyprus
| | - Efthimos Dardiotis
- Department of Neurology, Laboratory of Neurogenetics, University of Thessaly, University Hospital of Larissa, Larissa, Greece
| | - Leonidas Stefanis
- First Department of Neurology, Eginition Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece.,Center of Clinical Research, Experimental Surgery and Translational Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
| | - Athina Maria Simitsi
- First Department of Neurology, Eginition Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Enza Maria Valente
- Department of Molecular Medicine, University of Pavia, Pavia, Italy.,Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Mondino Foundation, Pavia, Italy
| | - Simona Petrucci
- UOC Medical Genetics and Advanced Cell Diagnostics, S. Andrea University Hospital, Rome, Italy.,Department of Clinical and Molecular Medicine, University of Rome, Rome, Italy
| | - Stefano Duga
- Department of Biomedical Sciences, Humanitas University, Milan, Italy.,Humanitas Clinical and Research Center, IRCCS, Milan, Italy
| | - Letizia Straniero
- Department of Biomedical Sciences, Humanitas University, Milan, Italy
| | - Anna Zecchinelli
- Parkinson Institute, Azienda Socio Sanitaria Territoriale (ASST) Gaetano Pini/CTO, Milan, Italy
| | | | - Laura Brighina
- Department of Neurology, San Gerardo Hospital, Monza, Italy.,Department of Medicine and Surgery and Milan Center for Neuroscience, University of Milano Bicocca, Milan, Italy
| | - Carlo Ferrarese
- Department of Neurology, San Gerardo Hospital, Monza, Italy.,Department of Medicine and Surgery and Milan Center for Neuroscience, University of Milano Bicocca, Milan, Italy
| | - Grazia Annesi
- Institute for Biomedical Research and Innovation, National Research Council, Cosenza, Italy
| | - Andrea Quattrone
- Institute of Neurology, Magna Graecia University, Catanzaro, Italy
| | - Monica Gagliardi
- Institute of Molecular Bioimaging and Physiology National Research Council, Catanzaro, Italy
| | - Hirotaka Matsuo
- Department of Integrative Physiology and Bio-Nano Medicine, National Defense Medical College, Saitama, Japan
| | - Yusuke Kawamura
- Department of Integrative Physiology and Bio-Nano Medicine, National Defense Medical College, Saitama, Japan
| | - Nobutaka Hattori
- Department of Neurology, Juntendo University School of Medicine, Tokyo, Japan
| | - Kenya Nishioka
- Department of Neurology, Juntendo University School of Medicine, Tokyo, Japan
| | - Sun Ju Chung
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Yun Joong Kim
- Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea
| | - Pierre Kolber
- Neurology, Centre Hospitalier de Luxembourg, Luxembourg, Luxembourg
| | - Bart P C van de Warrenburg
- Radboud University Medical Centre, Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Nijmegen, The Netherlands
| | - Bastiaan R Bloem
- Radboud University Medical Centre, Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Nijmegen, The Netherlands
| | - Jan Aasly
- Department of Neurology, St Olav's Hospital and Norwegian University of Science and Technology, Trondheim, Norway
| | - Mathias Toft
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Lasse Pihlstrøm
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Leonor Correia Guedes
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.,Department of Neurosciences and Mental Health, Neurology, Hospital de Santa Maria, Centro Hospitalar Universitario Lisboa Norte (CHULN), Lisbon, Portugal
| | - Joaquim J Ferreira
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.,Laboratory of Clinical Pharmacology and Therapeutics, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Soraya Bardien
- Division of Molecular Biology and Human Genetics, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Stellenbosch, South Africa
| | - Jonathan Carr
- Division of Neurology, Department of Medicine, Faculty of Medicine and Health Sciences, Stellenbosch University, Stellenbosch, South Africa
| | - Eduardo Tolosa
- Parkinson's Disease and Movement Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED: CB06/05/0018-ISCIII), Barcelona, Spain
| | - Mario Ezquerra
- Lab of Parkinson Disease and Other Neurodegenerative Movement Disorders, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Institut de Neurociències, Universitat de Barcelona, Barcelona, Spain
| | - Pau Pastor
- Fundació per la Recerca Biomèdica i Social Mútua Terrassa, Barcelona, Spain.,Movement Disorders Unit, Department of Neurology, Hospital Universitari Mutua de Terrassa, Barcelona, Spain
| | - Monica Diez-Fairen
- Fundació per la Recerca Biomèdica i Social Mútua Terrassa, Barcelona, Spain.,Movement Disorders Unit, Department of Neurology, Hospital Universitari Mutua de Terrassa, Barcelona, Spain
| | - Karin Wirdefeldt
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Caroline Ran
- Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Andrea C Belin
- Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Andreas Puschmann
- Department of Clinical Sciences Lund, Neurology, Lund University, Skåne University Hospital, Lund, Sweden
| | - Clara Hellberg
- Department of Clinical Sciences Lund, Neurology, Lund University, Skåne University Hospital, Lund, Sweden
| | - Carl E Clarke
- University of Birmingham and Sandwell and West Birmingham Hospitals NHS Trust, Birmingham, United Kingdom
| | - Karen E Morrison
- Faculty of Medicine, Health and Life Sciences, Queens University, Belfast, United Kingdom
| | - Manuela Tan
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Dimitri Krainc
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Lena F Burbulla
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.,Metabolic Biochemistry, Biomedical Center (BMC), Faculty of Medicine, Ludwig-Maximilians-Universität München, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Matt J Farrer
- Department of Neurology, McKnight Brain Institute, University of Florida, Gainesville, Florida, USA
| | - Rejko Krüger
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-Belval, Luxembourg.,Neurology, Centre Hospitalier de Luxembourg, Luxembourg, Luxembourg.,Parkinson's Research Clinic, Centre Hospitalier de Luxembourg, Strassen, Luxembourg.,Transversal Translational Medicine, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
| | - Thomas Gasser
- Department for Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research, University of Tubingen, Tubingen, Germany.,German Center for Neurodegenerative Diseases (DZNE), Tubingen, Germany
| | - Manu Sharma
- Centre for Genetic Epidemiology, Institute for Clinical Epidemiology and Applied Biometry, University of Tubingen, Tubingen, Germany
| | - Alexis Elbaz
- UVSQ, Univ. Paris-Sud, Inserm, Team "Exposome, Heredity, Cancer and Health," CESP, Université Paris-Saclay, Villejuif, France
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11
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Sonestedt E, Borné Y, Wirfält E, Ericson U. Dairy Consumption, Lactase Persistence, and Mortality Risk in a Cohort From Southern Sweden. Front Nutr 2021; 8:779034. [PMID: 34901125 PMCID: PMC8652079 DOI: 10.3389/fnut.2021.779034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Accepted: 11/04/2021] [Indexed: 11/22/2022] Open
Abstract
Background: Whether high dairy consumption is related to longevity is still unclear, and additional studies of prospective cohorts with high-quality dietary data from populations with wide consumption ranges are needed. Objective: To examine the association between dairy consumption and mortality in a Swedish cohort. Design: Among 26,190 participants (62% females, 45–73 years old) without diabetes and cardiovascular disease from the population-based Malmö Diet and Cancer cohort, 7,156 individuals died during a mean follow-up time of 19 years. Data on intake of dairy (non-fermented milk, fermented milk, cheese, cream and butter) were collected from 7 day food records and food questionnaires. A genetic marker (rs4988235) associated with lactase persistence was detected among 22,234 individuals born in Sweden. Results: Higher intakes up to 1,000 g/day of non-fermented milk were associated with only marginal higher mortality rates after adjusting for potential confounders. However, intakes above 1,000 g/day (1.5% of the population) were associated with 34% (95% CI: 14, 59%, p-trend=0.002) higher mortality compared to that with < 200 g/day. Fermented milk and cheese intake were inversely associated with mortality. Cream showed a protective association only among men. Butter was not associated with mortality. CT/TT genotype carriers (i.e., individuals with lactase persistence) had a 27% higher reported consumption of non-fermented milk, and non-significant higher mortality risk (HR = 1.08; 95% CI = 0.96, 1.23; p = 0.20) than CC genotype carriers. Conclusions: Higher mortality rates were mainly observed among participants consuming more than 1,000 g of non-fermented milk per day. In contrast, fermented milk and cheese were associated with lower mortality. Because dairy products differ in composition, it is important to examine them separately in their relation to health and disease. The use of a genetic variant as an objective marker of lactose-containing milk intake should be examined in relation to mortality in a larger population.
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Affiliation(s)
- Emily Sonestedt
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Yan Borné
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Elisabet Wirfält
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Ulrika Ericson
- Diabetes and Cardiovascular Disease-Genetic Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
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12
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Mozaffarian D. Dairy foods and type 2 diabetes: profiling our metabolites and health. Am J Clin Nutr 2021; 114:5-6. [PMID: 33963729 PMCID: PMC8246614 DOI: 10.1093/ajcn/nqab134] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
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13
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Evidence for a causal association between milk intake and cardiometabolic disease outcomes using a two-sample Mendelian Randomization analysis in up to 1,904,220 individuals. Int J Obes (Lond) 2021; 45:1751-1762. [PMID: 34024907 PMCID: PMC8310799 DOI: 10.1038/s41366-021-00841-2] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Revised: 04/08/2021] [Accepted: 04/26/2021] [Indexed: 02/04/2023]
Abstract
BACKGROUND High milk intake has been associated with cardio-metabolic risk. We conducted a Mendelian Randomization (MR) study to obtain evidence for the causal relationship between milk consumption and cardio-metabolic traits using the lactase persistence (LCT-13910 C > T, rs4988235) variant as an instrumental variable. METHODS We tested the association of LCT genotype with milk consumption (for validation) and with cardio-metabolic traits (for a possible causal association) in a meta-analysis of the data from three large-scale population-based studies (1958 British Birth Cohort, Health and Retirement study, and UK Biobank) with up to 417,236 participants and using summary statistics from consortia meta-analyses on intermediate traits (N = 123,665-697,307) and extended to cover disease endpoints (N = 86,995-149,821). RESULTS In the UK Biobank, carriers of 'T' allele of LCT variant were more likely to consume milk (P = 7.02 × 10-14). In meta-analysis including UK Biobank, the 1958BC, the HRS, and consortia-based studies, under an additive model, 'T' allele was associated with higher body mass index (BMI) (Pmeta-analysis = 4.68 × 10-12) and lower total cholesterol (TC) (P = 2.40 × 10-36), low-density lipoprotein cholesterol (LDL-C) (P = 2.08 × 10-26) and high-density lipoprotein cholesterol (HDL-C) (P = 9.40 × 10-13). In consortia meta-analyses, 'T' allele was associated with a lower risk of coronary artery disease (OR:0.86, 95% CI:0.75-0.99) but not with type 2 diabetes (OR:1.06, 95% CI:0.97-1.16). Furthermore, the two-sample MR analysis showed a causal association between genetically instrumented milk intake and higher BMI (P = 3.60 × 10-5) and body fat (total body fat, leg fat, arm fat and trunk fat; P < 1.37 × 10-6) and lower LDL-C (P = 3.60 × 10-6), TC (P = 1.90 × 10-6) and HDL-C (P = 3.00 × 10-5). CONCLUSIONS Our large-scale MR study provides genetic evidence for the association of milk consumption with higher BMI but lower serum cholesterol levels. These data suggest no need to limit milk intakes with respect to cardiovascular disease risk, with the suggested benefits requiring confirmation in further studies.
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14
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Wang XJ, Jiang CQ, Zhang WS, Zhu F, Jin YL, Woo J, Cheng KK, Lam TH, Xu L. Milk consumption and risk of mortality from all-cause, cardiovascular disease and cancer in older people. Clin Nutr 2020; 39:3442-3451. [DOI: 10.1016/j.clnu.2020.03.003] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2019] [Revised: 03/01/2020] [Accepted: 03/02/2020] [Indexed: 11/29/2022]
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15
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Zhuang Z, Gao M, Yang R, Li N, Liu Z, Cao W, Huang T. Association of physical activity, sedentary behaviours and sleep duration with cardiovascular diseases and lipid profiles: a Mendelian randomization analysis. Lipids Health Dis 2020; 19:86. [PMID: 32384904 PMCID: PMC7206776 DOI: 10.1186/s12944-020-01257-z] [Citation(s) in RCA: 70] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Accepted: 04/07/2020] [Indexed: 12/19/2022] Open
Abstract
Background Observational studies have shown that moderate-to-vigorous physical activity (MVPA), vigorous physical activity (VPA), sedentary behaviours, and sleep duration were associated with cardiovascular diseases (CVDs) and lipid levels. However, whether such observations reflect causality remain largely unknown. We aimed to investigate the causal associations of physical activity, sedentary behaviours, and sleep duration with coronary artery disease (CAD), myocardial infarction (MI), stroke and lipid levels. Methods We conducted a Mendelian randomization (MR) study using genetic variants as instruments which are associated with physical activity, sedentary behaviours, and sleep duration to examine the causal effects on CVDs and lipid levels. This study included analyses of 4 potentially modifiable factors and 7 outcomes. Thus, the threshold of statistical significance is P = 1.8 × 10− 3 (0.05/4 × 7) after Bonferroni correction. Results In the present study, there was suggestive evidence for associations of genetically predicted VPA with CAD (odds ratio, 0.65; 95% confidence intervals, 0.47–0.90; P = 0.009) and MI (0.74; 0.59–0.93; P = 0.010). However, genetically predicted VPA, MVPA, sleep duration and sedentary behaviours did not show significant associations with stroke and any lipid levels. Conclusions Our findings from the MR approach provided suggestive evidence that vigorous exercise decreased risk of CAD and MI, but not stroke. However, there was no evidence to support causal associations of MVPA,sleep duration or sedentary behaviours with cardiovascular risk and lipid levels. Translational perspective The findings of this study did not point out specific recommendations on increasing physical activity required to deliver significant health benefits. Nevertheless, the findings allowed clinicians and public health practitioners to provide advice about increasing the total amount of excising time by demonstrating that such advice can be effective. Reliable assessment of the association of physical activity levels with different subtypes of CVDs is needed to provide the basis for a comprehensive clinical approach on CVDs prevention, which can be achieved through lifestyle interventions in addition to drug therapy.
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Affiliation(s)
- Zhenhuang Zhuang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Bejing, 100191, China
| | - Meng Gao
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Bejing, 100191, China
| | - Ruotong Yang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Bejing, 100191, China
| | - Nan Li
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Bejing, 100191, China.,Institute of Reproductive and Child Health, Peking University/Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Bejing, 100191, China
| | - Zhonghua Liu
- Department of Statistics and Actuarial Science, The University of Hong Kong, Pok Fu Lam, Hong Kong
| | - Weihua Cao
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Bejing, 100191, China.
| | - Tao Huang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Bejing, 100191, China. .,Department of Global Health, School of Public Health, Peking University, Bejing, 100191, China. .,Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Bejing, 100191, China.
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16
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Owen AJ, Abramson MJ, Ikin JF, McCaffrey TA, Pomeroy S, Borg BM, Gao CX, Brown D, Liew D. Recommended Intake of Key Food Groups and Cardiovascular Risk Factors in Australian Older, Rural-Dwelling Adults. Nutrients 2020; 12:nu12030860. [PMID: 32210180 PMCID: PMC7146596 DOI: 10.3390/nu12030860] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Revised: 03/20/2020] [Accepted: 03/21/2020] [Indexed: 01/01/2023] Open
Abstract
This study examined the relationship between diet quality scores and cardiometabolic risk factors in regionally-dwelling older Australian adults with increased cardiovascular risk. This study was a cross-sectional analysis of demographic, anthropometric, and cardiometabolic risk factor data from 458 participants of the Cardiovascular Stream of the Hazelwood Health Study. Participants completed a 120 item semi-quantitative food frequency questionnaire. Multivariable linear regression adjusting for age, sex, smoking, physical activity, education, diabetes, and body mass index was used to examine the relationship between diet and cardiometabolic risk factors. Mean (SD) age of participants was 71 (8) years, and 55% were male. More than half of men and women did not meet recommended intakes of fibre, while 60% of men and 42% of women exceeded recommended dietary sodium intakes. Higher diet quality in terms of intake of vegetables, grains, and non-processed meat, as well as intake of non-fried fish, was associated with more favourable cardiometabolic risk profiles, while sugar-sweetened soft drink intake was strongly associated with adverse cardiometabolic risk factor levels. In older, regionally-dwelling adults, dietary public health strategies that address whole grain products, vegetable and fish consumption, and sugar-sweetened soft-drink intake may be of benefit in reducing cardiometabolic risk.
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Affiliation(s)
- Alice J. Owen
- School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Rd, Melbourne, VIC 3004, Australia; (M.J.A.); (J.F.I.); (S.P.); (B.M.B.); (C.X.G.); (D.B.); (D.L.)
- Correspondence: ; Tel.: +61-3-9903-0045
| | - Michael J. Abramson
- School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Rd, Melbourne, VIC 3004, Australia; (M.J.A.); (J.F.I.); (S.P.); (B.M.B.); (C.X.G.); (D.B.); (D.L.)
| | - Jill F. Ikin
- School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Rd, Melbourne, VIC 3004, Australia; (M.J.A.); (J.F.I.); (S.P.); (B.M.B.); (C.X.G.); (D.B.); (D.L.)
| | - Tracy A. McCaffrey
- Department of Nutrition, Dietetics and Food, Monash University, Melbourne, VIC 3168, Australia;
| | - Sylvia Pomeroy
- School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Rd, Melbourne, VIC 3004, Australia; (M.J.A.); (J.F.I.); (S.P.); (B.M.B.); (C.X.G.); (D.B.); (D.L.)
| | - Brigitte M. Borg
- School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Rd, Melbourne, VIC 3004, Australia; (M.J.A.); (J.F.I.); (S.P.); (B.M.B.); (C.X.G.); (D.B.); (D.L.)
- Respiratory Medicine, Alfred Hospital, Melbourne, VIC 3004, Australia
| | - Caroline X. Gao
- School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Rd, Melbourne, VIC 3004, Australia; (M.J.A.); (J.F.I.); (S.P.); (B.M.B.); (C.X.G.); (D.B.); (D.L.)
| | - David Brown
- School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Rd, Melbourne, VIC 3004, Australia; (M.J.A.); (J.F.I.); (S.P.); (B.M.B.); (C.X.G.); (D.B.); (D.L.)
| | - Danny Liew
- School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Rd, Melbourne, VIC 3004, Australia; (M.J.A.); (J.F.I.); (S.P.); (B.M.B.); (C.X.G.); (D.B.); (D.L.)
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17
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Magnussen CG, Fraser BJ, Smith KJ. Dietary calcium and dairy intake and muscular fitness phenotypes in Australian children. J Sports Sci 2020; 38:717-718. [PMID: 32048547 DOI: 10.1080/02640414.2020.1727606] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Affiliation(s)
- Costan G Magnussen
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia, .,Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.,Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Brooklyn J Fraser
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia, .,Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.,Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Kylie J Smith
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia, .,Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.,Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
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18
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Mena-Sánchez G, Babio N, Becerra-Tomás N, Martínez-González MÁ, Díaz-López A, Corella D, Zomeño MD, Romaguera D, Vioque J, Alonso-Gómez ÁM, Wärnberg J, Martínez JA, Serra-Majem L, Estruch R, Bernal R, Lapetra J, Pintó X, Tur JA, Lopez-Miranda J, Cano-Ibáñez N, Gaforio JJ, Matía-Martín P, Daimiel L, Caro JLL, Vidal J, Vázquez C, Ros E, Arellano AG, Palau A, Fernández-Carrión R, Pérez-Vega KA, Morey M, de la Hera MG, Vaquero-Luna J, Carmona-González FJ, Abete I, Álvarez-Pérez J, Casas R, Fernández-García JC, Santos-Lozano JM, Corbella E, Sureda A, Ruiz-Canela M, Barragán R, Goday A, Martín M, Altozano Rodado MC, Toledo E, Fitó M, Salas-Salvadó J. Association between dairy product consumption and hyperuricemia in an elderly population with metabolic syndrome. Nutr Metab Cardiovasc Dis 2020; 30:214-222. [PMID: 31791636 DOI: 10.1016/j.numecd.2019.09.023] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Revised: 09/19/2019] [Accepted: 09/23/2019] [Indexed: 12/16/2022]
Abstract
BACKGROUND AND AIMS The prevalence of hyperuricemia has increased substantially in recent decades. It has been suggested that it is an independent risk factor for weight gain, hypertension, hypertriglyceridemia, metabolic syndrome (MetS), and cardiovascular disease. Results from epidemiological studies conducted in different study populations have suggested that high consumption of dairy products is associated with a lower risk of developing hyperuricemia. However, this association is still unclear. The aim of the present study is to explore the association of the consumption of total dairy products and their subtypes with the risk of hyperuricemia in an elderly Mediterranean population with MetS. METHODS AND RESULTS Baseline cross-sectional analyses were conducted on 6329 men/women (mean age 65 years) with overweight/obesity and MetS from the PREDIMED-Plus cohort. Dairy consumption was assessed using a food frequency questionnaire. Multivariable-adjusted Cox regressions were fitted to analyze the association of quartiles of consumption of total dairy products and their subtypes with the prevalence of hyperuricemia. Participants in the upper quartile of the consumption of total dairy products (multiadjusted prevalence ratio (PR) = 0.84; 95% CI: 0.75-0.94; P-trend 0.02), low-fat dairy products (PR = 0.79; 95% CI: 0.70-0.89; P-trend <0.001), total milk (PR = 0.81; 95% CI: 0.73-0.90; P-trend<0.001), low-fat milk (PR = 0.80; 95% CI: 0.72-0.89; P-trend<0.001, respectively), low-fat yogurt (PR = 0.89; 95% CI: 0.80-0.98; P-trend 0.051), and cheese (PR = 0.86; 95% CI: 0.77-0.96; P-trend 0.003) presented a lower prevalence of hyperuricemia. Whole-fat dairy, fermented dairy, and yogurt consumption were not associated with hyperuricemia. CONCLUSIONS High consumption of total dairy products, total milk, low-fat dairy products, low-fat milk, low-fat yogurt, and cheese is associated with a lower risk of hyperuricemia.
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Affiliation(s)
- Guillermo Mena-Sánchez
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, IISPV, Hospital Universitari Sant Joan de Reus, Spain; CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Nancy Babio
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, IISPV, Hospital Universitari Sant Joan de Reus, Spain; CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
| | - Nerea Becerra-Tomás
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, IISPV, Hospital Universitari Sant Joan de Reus, Spain; CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Miguel Á Martínez-González
- CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, Pamplona, Spain; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Andrés Díaz-López
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, IISPV, Hospital Universitari Sant Joan de Reus, Spain; CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Dolores Corella
- CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Maria D Zomeño
- Cardiovascular Risk and Nutrition research group (CARIN), Hospital del Mar Research Institute (IMIM), Barcelona, Spain; Blanquerna, School of Health Sciences, Universitat Ramon Llull, Barcelona, Spain
| | - Dora Romaguera
- CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Clinical Epidemiology and Public Health Department, Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Jesús Vioque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Miguel Hernandez University, ISABIAL-FISABIO, Alicante, Spain
| | - Ángel M Alonso-Gómez
- CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Cardiology, Organización Sanitaria Integrada (OSI) ARABA, University Hospital Araba, Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Nursing, School of Health Sciences, University of Málaga-IBIMA, Málaga, Spain
| | - José A Martínez
- CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; University of Navarra, Department of Nutrition, Food Science and Physiology, IDISNA, Pamplona, Spain; Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - Luís Serra-Majem
- CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; University of Las Palmas de Gran Canaria, Research Institute of Biomedical and Health Sciences (IUIBS), Preventive Medicine Service, Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas, Spain
| | - Ramon Estruch
- CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Rosa Bernal
- CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Virgen de la Victoria Hospital, Department of Endocrinology, University of Málaga, Málaga, Spain
| | - José Lapetra
- CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Xavier Pintó
- CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge-IDIBELL, Hospitalet de Llobregat, Barcelona, Spain
| | - Josep A Tur
- CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
| | - José Lopez-Miranda
- CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Naomi Cano-Ibáñez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine, University of Granada, Granada, Spain
| | - Jose J Gaforio
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Departamento de Ciencias de la Salud, Centro de Estudios Avanzados en Olivar y Aceites de Oliva, Universidad de Jaén, Jaén, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Lidia Daimiel
- Nutritional Genomics and Epigenomics Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - José L Llisterri Caro
- Institute of Biomedicine (IBIOMED), University of León, León, Spain; CIBER Diabetes y enfermedades Metabólicos (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Josep Vidal
- Departament of Endocrinology, IDIBAPS, Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Clotilde Vázquez
- CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Endocrinology, Fundación Jiménez-Díaz, Madrid, Spain
| | - Emili Ros
- CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Lipid Clinic, Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Ana Garcia Arellano
- CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, Pamplona, Spain
| | - Antoni Palau
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, IISPV, Hospital Universitari Sant Joan de Reus, Spain
| | - Rebeca Fernández-Carrión
- CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Karla A Pérez-Vega
- Cardiovascular Risk and Nutrition research group (CARIN), Hospital del Mar Research Institute (IMIM), Barcelona, Spain
| | - Marga Morey
- CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Clinical Epidemiology and Public Health Department, Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Manoli García de la Hera
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Miguel Hernandez University, ISABIAL-FISABIO, Alicante, Spain
| | - Jessica Vaquero-Luna
- CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Cardiology, Organización Sanitaria Integrada (OSI) ARABA, University Hospital Araba, Vitoria-Gasteiz, Spain
| | - Francisco J Carmona-González
- CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Unidad Gestión Clínica de Torrequebrada, Distrito Atención Primaria Costa del Sol, Servicio Andaluz de Salud, Spain
| | - Itziar Abete
- CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; University of Navarra, Department of Nutrition, Food Science and Physiology, IDISNA, Pamplona, Spain
| | - Jacqueline Álvarez-Pérez
- CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; University of Las Palmas de Gran Canaria, Research Institute of Biomedical and Health Sciences (IUIBS), Preventive Medicine Service, Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas, Spain
| | - Rosa Casas
- CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - José C Fernández-García
- CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Virgen de la Victoria Hospital, Department of Endocrinology, University of Málaga, Málaga, Spain
| | - José M Santos-Lozano
- CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Emili Corbella
- CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge-IDIBELL, Hospitalet de Llobregat, Barcelona, Spain
| | - Antoni Sureda
- CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
| | - Miguel Ruiz-Canela
- CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, Pamplona, Spain
| | - Rocio Barragán
- CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Albert Goday
- CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Cardiovascular Risk and Nutrition research group (CARIN), Hospital del Mar Research Institute (IMIM), Barcelona, Spain; Department of Medicine, Universitat Autonoma de Barcelona, Endocrinology Unit, Hospital del Mar, Barcelona, Spain
| | - Marian Martín
- CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Clinical Epidemiology and Public Health Department, Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - María C Altozano Rodado
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Miguel Hernandez University, ISABIAL-FISABIO, Alicante, Spain
| | - Estefanía Toledo
- CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, Pamplona, Spain
| | - Montse Fitó
- CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Cardiovascular Risk and Nutrition research group (CARIN), Hospital del Mar Research Institute (IMIM), Barcelona, Spain
| | - Jordi Salas-Salvadó
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, IISPV, Hospital Universitari Sant Joan de Reus, Spain; CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
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19
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Soedamah-Muthu SS, Guo J. Dairy consumption and cardiometabolic diseases: Evidence from prospective studies. MILK AND DAIRY FOODS 2020:1-28. [DOI: 10.1016/b978-0-12-815603-2.00001-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
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20
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Affiliation(s)
- Laurence Zitvogel
- Gustave Roussy Cancer Campus, Villejuif, France. .,National Institute of Health and Medical Research (INSERM) U1015, Villejuif, France.,University Paris XI, Paris Saclay, France.,Suzhou Institute for Systems Biology, Chinese Academy of Medical Sciences, Suzhou, China
| | - Guido Kroemer
- Suzhou Institute for Systems Biology, Chinese Academy of Medical Sciences, Suzhou, China. .,Equipe labellisée par la Ligue contre le cancer, Université de Paris, Sorbonne Université, INSERM U1138, Centre de Recherche des Cordeliers, Paris, France.,Metabolomics and Cell Biology Platforms, Institut Gustave Roussy, Villejuif, France.,Pôle de Biologie, Hôpital Européen Georges Pompidou, AP-HP, Paris, France.,Karolinska Institute, Department of Women's and Children's Health, Karolinska University Hospital, Stockholm, Sweden
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21
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Abstract
PURPOSE OF REVIEW We review recent evidence of the relationship between dietary fat intake and risk of type 2 diabetes (T2D), the role of epigenetic alterations as a mediator of this relationship, and the impact of gene-dietary fat interactions in the development of the disease. Based on the observations made, we will discuss whether there is evidence to support genetic personalization of fat intake recommendations in T2D prevention. RECENT FINDINGS Strong evidence suggests that polyunsaturated fatty acids (PUFA) have a protective effect on T2D risk, whereas the roles of saturated and monounsaturated fatty acids (SFA and MUFA) remain unclear. Diets enriched with PUFA vs SFA lead to distinct epigenetic alterations that may mediate their effects on T2D risk by changing gene function. However, it is not currently known which of the epigenetic alterations, if any, are causal for T2D. The current literature shows no replicated evidence of genetic variants modifying the effect of dietary fat intake on T2D risk. There is consistent evidence of a protective role of PUFA in T2D prevention. No evidence supports genetic personalization of dietary recommendations in T2D prevention.
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Affiliation(s)
- Germán D Carrasquilla
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, Mærsk Building (8. floor), Copenhagen, Denmark
| | - Hermina Jakupović
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, Mærsk Building (8. floor), Copenhagen, Denmark
| | - Tuomas O Kilpeläinen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, Mærsk Building (8. floor), Copenhagen, Denmark.
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22
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Clarke R. Beneficial Effects of Milk Consumption on Lean Body Mass. Clin Chem 2019; 65:718-719. [DOI: 10.1373/clinchem.2019.305581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Accepted: 04/02/2019] [Indexed: 11/06/2022]
Affiliation(s)
- Robert Clarke
- Clinical Trial Service Unit and Epidemiological Studies Unit, University of Oxford, Oxford, UK
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