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Tsuruta H, Sugahara S, Kume S. Nutrient quality in dietary therapy for diabetes and diabetic kidney disease. J Diabetes Investig 2024; 15:973-981. [PMID: 38591876 PMCID: PMC11292394 DOI: 10.1111/jdi.14208] [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: 12/27/2023] [Revised: 03/17/2024] [Accepted: 03/21/2024] [Indexed: 04/10/2024] Open
Abstract
Dietary therapy is crucial for diabetes care with the aim of preventing the onset and progression of diabetes and its complications. The traditional approach to dietary therapy for diabetes has primarily focused on restricting the intake of the three major nutrients and rigorously controlling blood glucose levels. However, advancements in nutritional science have shown that within the three major nutrients - carbohydrates, proteins and lipids - there exist multiple types, each with distinct impacts on type 2 diabetes and its complications, sometimes even showing conflicting effects. In light of this, the present review shifts its focus from the quantity to the quality of the three major nutrients. It aims to provide an overview of how the differences in nutrient quality can influence onset and progression of type 2 diabetes and diabetic kidney disease, highlighting the diverse effects and, at times, contradictory impacts associated with each nutrient type.
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Affiliation(s)
- Hiroaki Tsuruta
- Department of MedicineShiga University of Medical ScienceOtsuShigaJapan
| | - Sho Sugahara
- Department of MedicineShiga University of Medical ScienceOtsuShigaJapan
| | - Shinji Kume
- Department of MedicineShiga University of Medical ScienceOtsuShigaJapan
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Taormina VM, Unger AL, Kraft J. Full-fat dairy products and cardiometabolic health outcomes: Does the dairy-fat matrix matter? Front Nutr 2024; 11:1386257. [PMID: 39135556 PMCID: PMC11317386 DOI: 10.3389/fnut.2024.1386257] [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: 02/14/2024] [Accepted: 06/27/2024] [Indexed: 08/15/2024] Open
Abstract
Reducing dairy fat intake is a common dietary guideline to limit energy and saturated fatty acid intake for the promotion of cardiometabolic health. However, research utilizing a holistic, food-based approach to assess the consumption of the fat found in dairy, a broad and diverse food group, may provide new insight into these guidelines. Dairy fat is comprised of a diverse assembly of fatty acids, triacylglycerols, sterols, and phospholipids, all uniquely packaged in a milk fat globule. The physical structure of this milk fat globule and its membrane is modified through different processing methods, resulting in distinctive dairy-fat matrices across each dairy product. The objectives of this narrative review were to first define and compare the dairy-fat matrix in terms of its unique composition, physical structure, and fat content across common dairy products (cow's milk, yogurt, cheese, and butter). With this information, we examined observational studies and randomized controlled trials published within the last 10 years (2013-2023) to assess the individual effects of the dairy-fat matrix in milk, yogurt, cheese, and butter on cardiometabolic health and evaluate the implications for nutrition guidance. Searches conducted on Ovid MEDLINE and PubMed® utilizing search terms for cardiometabolic health, both broadly and regarding specific disease outcomes and risk factors, yielded 59 studies that were analyzed and included in this review. Importantly, this review stratifies by both dairy product and fat content. Though the results were heterogeneous, most studies reported no association between intake of these individual regular-fat dairy products and cardiometabolic outcome measures, thus, the current body of evidence suggests that regular-fat dairy product consumption may be incorporated within overall healthy eating patterns. Research suggests that there may be a beneficial effect of regular-fat milk and yogurt intake on outcome measures related to body weight and composition, and an effect of regular-fat cheese intake on outcome measures related to blood lipids, but more research is necessary to define the directionality of this relationship. Lastly, we identify methodological research gaps and propose future research directions to bolster the current evidence base available for ascertaining the role of dairy fat in a healthy diet.
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Affiliation(s)
- Victoria M. Taormina
- Department of Animal and Veterinary Sciences, The University of Vermont, Burlington, VT, United States
| | - Allison L. Unger
- Department of Pathology and Laboratory Medicine, The University of Vermont, Burlington, VT, United States
- National Dairy Council, Rosemont, IL, United States
| | - Jana Kraft
- Department of Animal and Veterinary Sciences, The University of Vermont, Burlington, VT, United States
- Department of Medicine, Division of Endocrinology, Metabolism, and Diabetes, The University of Vermont, Colchester, VT, United States
- Department of Nutrition and Food Sciences, The University of Vermont, Burlington, VT, United States
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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] [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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Minari TP, Manzano CF, Tácito LHB, Yugar LBT, Sedenho-Prado LG, Rubio TDA, Pires AC, Vilela-Martin JF, Cosenso-Martin LN, Moreno H, Yugar-Toledo JC. The Impact of a Nutritional Intervention on Glycemic Control and Cardiovascular Risk Markers in Type 2 Diabetes. Nutrients 2024; 16:1378. [PMID: 38732624 PMCID: PMC11085322 DOI: 10.3390/nu16091378] [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: 04/03/2024] [Revised: 04/23/2024] [Accepted: 04/29/2024] [Indexed: 05/13/2024] Open
Abstract
INTRODUCTION Nutritional management plays a crucial role in treating patients with type 2 diabetes (T2D), working to prevent and control the progression of chronic non-communicable diseases. OBJECTIVES To evaluate the effects of individualized nutritional interventions on weight, body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), fasting blood glucose (FBG), hemoglobin A1c (HbA1c), total cholesterol (TC), LDL cholesterol (LDL-C), HDL cholesterol (HDL-C), triglycerides (TGs), systolic blood pressure (SBP), diastolic blood pressure (DBP), and heart rate (HR)} over 12 months and subsequently at follow-up (15 months). METHODS This longitudinal experimental study (without randomization and blinding) enrolled 84 sedentary participants with T2D (both sexes, aged 18-80 years). They were divided into a control group of 40 participants who received only medical consultations, and an intervention group of 44 participants who received the same medical care along with a nutritional assessment. Consultations occurred quarterly from August 2020 to November 2022 (first-twelfth month), with six to nine patients per session. Subsequently, a follow-up was conducted from December 2022 to November 2023, during which the intervention group had only medical care (during the 12th-15th months). Personalized dietary planning was inspired by the Mediterranean/DASH diets adapted to Brazilian foods and socioeconomic cultures. STATISTICAL ANALYSIS Normal variables were compared between groups for each time point and also within each group across different time points using a two-way ANOVA (repeated measures for intragroup) followed by the Šídák post hoc test. Non-normal variables were compared between groups for each time point using Kruskal-Wallis followed by the Dunn post hoc test, and within each group across different time points using Friedman followed by the Dunn post hoc test. Data with a Gaussian distribution were presented as mean ± standard deviation (SD), and data with a non-Gaussian distribution were presented as median ± interquartile range (IQR). For all cases, α < 0.05 and p < 0.05 were adopted. RESULTS In the intervention group, significant reductions were observed between the first and twelfth month for all parameters (p < 0.05), (except for TC), along with an increase in HDL-C (p = 0.0105). Conversely, in the control group, there was a significant increase in HbA1c, weight, BMI, FBG, and WHR (p < 0.05) between the first and twelfth months. Regarding the comparison between groups, there was a significant difference for all analyzed parameters (p < 0.05) from the first to the twelfth month. In the follow-up, differences were also observed (p < 0.05), except for BMI (p > 0.05). CONCLUSION The individualized nutritional intervention improved eating habits, anthropometric, biochemical, and cardiovascular markers in T2D over 12 months, with sustained results during follow-up. The dietary plan inspired by the Mediterranean and DASH diets demonstrated good adaptation to the Brazilian food culture and the patients' socioeconomic contexts. Consistent monitoring and personalized nutritional management are essential for optimizing long-term outcomes. However, more clinical trials are necessary in order to optimize the level of evidence for longitudinal interventions.
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Affiliation(s)
- Tatiana Palotta Minari
- Department of Hypertension, State Faculty of Medicine of São José do Rio Preto (FAMERP), São José do Rio Preto 15090-000, SP, Brazil
| | - Carolina Freitas Manzano
- Department of Hypertension, State Faculty of Medicine of São José do Rio Preto (FAMERP), São José do Rio Preto 15090-000, SP, Brazil
| | - Lúcia Helena Bonalume Tácito
- Department of Endocrinology, State Faculty of Medicine of São José do Rio Preto (FAMERP), São José do Rio Preto 15090-000, SP, Brazil
| | | | | | - Tatiane de Azevedo Rubio
- Cardiovascular Pharmacology & Hypertension Laboratory, School of Medical Sciences, State University of Campinas (UNICAMP), Campinas 13083-887, SP, Brazil
| | - Antônio Carlos Pires
- Department of Endocrinology, State Faculty of Medicine of São José do Rio Preto (FAMERP), São José do Rio Preto 15090-000, SP, Brazil
| | - José Fernando Vilela-Martin
- Department of Hypertension, State Faculty of Medicine of São José do Rio Preto (FAMERP), São José do Rio Preto 15090-000, SP, Brazil
| | - Luciana Neves Cosenso-Martin
- Department of Endocrinology, State Faculty of Medicine of São José do Rio Preto (FAMERP), São José do Rio Preto 15090-000, SP, Brazil
| | - Heitor Moreno
- Cardiovascular Pharmacology & Hypertension Laboratory, School of Medical Sciences, State University of Campinas (UNICAMP), Campinas 13083-887, SP, Brazil
| | - Juan Carlos Yugar-Toledo
- Department of Hypertension, State Faculty of Medicine of São José do Rio Preto (FAMERP), São José do Rio Preto 15090-000, SP, Brazil
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Liu J, Shang X, Chen Y, Tang W, Yusufu M, Chen Z, Chen R, Hu W, Jan C, Li L, He M, Zhu Z, Zhang L. Diet-Wide Association Study for the Incidence of Type 2 Diabetes Mellitus in Community-Dwelling Adults Using the UK Biobank Data. Nutrients 2023; 16:103. [PMID: 38201933 PMCID: PMC10780379 DOI: 10.3390/nu16010103] [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: 10/04/2023] [Revised: 11/30/2023] [Accepted: 12/07/2023] [Indexed: 01/12/2024] Open
Abstract
This longitudinal study used diet-wide association studies (DWAS) to investigate the association between diverse dietary food and nutrient intakes and the onset of type 2 diabetes mellitus (T2DM). Out of 502,505 participants from the UK Biobank, 119,040 with dietary data free of T2DM at the baseline were included, and 3241 developed T2DM during a median follow-up of 11.7 years. The DWAS analysis, which is based on Cox regression models, was used to analyse the associations between dietary food or nutrient intake factors and T2DM risk. The study found that 10 out of 225 dietary factors were significantly associated with the T2DM risk. Total alcohol (HR = 0.86, 0.85-0.92, p = 1.26 × 10-32), red wine (HR = 0.89, 0.88-0.94, p = 7.95 × 10-19), and fresh tomatoes (HR = 0.92, 0.89-0.94, p = 2.3 × 10-11) showed a negative association with T2DM risk, whereas sliced buttered bread exhibited a positive association. Additionally, 5 out of 21 nutrient intake variables revealed significant associations with the T2DM risk, with iron having the highest protective effect and starch as a risk factor. In conclusion, DWAS is an effective method for discovering novel associations when exploring numerous dietary variables simultaneously and could provide valuable insight into future dietary guidance for T2DM.
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Affiliation(s)
- Jiahao Liu
- Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, VIC 3010, Australia; (J.L.); (M.Y.); (Z.C.); (R.C.); (W.H.); (C.J.); (L.L.)
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, VIC 3002, Australia; (X.S.); (M.H.); (Z.Z.)
| | - Xianwen Shang
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, VIC 3002, Australia; (X.S.); (M.H.); (Z.Z.)
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
| | - Yutong Chen
- Faculty of Medicine, Nursing and Health Science, Monash University, Clayton, VIC 3800, Australia;
| | - Wentao Tang
- Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2006, Australia;
| | - Mayinuer Yusufu
- Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, VIC 3010, Australia; (J.L.); (M.Y.); (Z.C.); (R.C.); (W.H.); (C.J.); (L.L.)
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, VIC 3002, Australia; (X.S.); (M.H.); (Z.Z.)
| | - Ziqi Chen
- Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, VIC 3010, Australia; (J.L.); (M.Y.); (Z.C.); (R.C.); (W.H.); (C.J.); (L.L.)
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC 3053, Australia
| | - Ruiye Chen
- Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, VIC 3010, Australia; (J.L.); (M.Y.); (Z.C.); (R.C.); (W.H.); (C.J.); (L.L.)
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, VIC 3002, Australia; (X.S.); (M.H.); (Z.Z.)
| | - Wenyi Hu
- Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, VIC 3010, Australia; (J.L.); (M.Y.); (Z.C.); (R.C.); (W.H.); (C.J.); (L.L.)
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, VIC 3002, Australia; (X.S.); (M.H.); (Z.Z.)
| | - Catherine Jan
- Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, VIC 3010, Australia; (J.L.); (M.Y.); (Z.C.); (R.C.); (W.H.); (C.J.); (L.L.)
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, VIC 3002, Australia; (X.S.); (M.H.); (Z.Z.)
| | - Li Li
- Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, VIC 3010, Australia; (J.L.); (M.Y.); (Z.C.); (R.C.); (W.H.); (C.J.); (L.L.)
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, VIC 3002, Australia; (X.S.); (M.H.); (Z.Z.)
| | - Mingguang He
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, VIC 3002, Australia; (X.S.); (M.H.); (Z.Z.)
- Ophthalmology, Department of Surgery, University of Melbourne, Melbourne, VIC 3052, Australia
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China
| | - Zhuoting Zhu
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, VIC 3002, Australia; (X.S.); (M.H.); (Z.Z.)
| | - Lei Zhang
- Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, VIC 3010, Australia; (J.L.); (M.Y.); (Z.C.); (R.C.); (W.H.); (C.J.); (L.L.)
- Department of Nephrology, State Key Laboratory of Reproductive Medicine, Children’s Hospital of Nanjing Medical University, Nanjing 210008, China
- Melbourne Sexual Health Centre, Alfred Health, Melbourne, VIC 3053, Australia
- Central Clinical School, Faculty of Medicine, Monash University, Melbourne, VIC 3168, Australia
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Minari TP, Tácito LHB, Yugar LBT, Ferreira-Melo SE, Manzano CF, Pires AC, Moreno H, Vilela-Martin JF, Cosenso-Martin LN, Yugar-Toledo JC. Nutritional Strategies for the Management of Type 2 Diabetes Mellitus: A Narrative Review. Nutrients 2023; 15:5096. [PMID: 38140355 PMCID: PMC10746081 DOI: 10.3390/nu15245096] [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: 11/20/2023] [Revised: 12/01/2023] [Accepted: 12/05/2023] [Indexed: 12/24/2023] Open
Abstract
BACKGROUND Thinking about greater adherence to dietary planning, it is extremely important to be aware of all nutritional strategies and dietary prescriptions available in the literature, and of which of them is the most efficient for the management of T2DM. METHODS A search was carried out in 2023 for randomized clinical trials, systematic reviews, meta-analyses, and guidelines in the following databases: Pubmed, Scielo, Web of Science, CrossRef and Google Scholar. In total, 202 articles were collected and analyzed. The period of publications was 1983-2023. RESULTS There is still no consensus on what the best nutritional strategy or ideal dietary prescription is, and individuality is necessary. In any case, these references suggest that Mediterranean Diet may of greater interest for the management of T2DM, with the following recommended dietary prescription: 40-50% carbohydrates; 15-25% proteins; 25-35% fats (<7% saturated, 10% polyunsaturated, and 10% monounsaturated); at least 14 g of fiber for every 1000 kcal consumed; and <2300 mg sodium. CONCLUSIONS Individuality is the gold standard for dietary prescriptions, however, the Mediterranean diet with low levels of carbohydrates and fats seems to be the most promising strategy for the management of T2DM.
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Affiliation(s)
- Tatiana Palotta Minari
- Department of Hypertension, State Faculty of Medicine of São José do Rio Preto (FAMERP), São José do Rio Preto 15090-000, SP, Brazil
| | - Lúcia Helena Bonalume Tácito
- Department of Endocrinology, State Faculty of Medicine of São José do Rio Preto (FAMERP), São José do Rio Preto 15090-000, SP, Brazil
| | | | - Sílvia Elaine Ferreira-Melo
- Cardiovascular Pharmacology & Hypertension Laboratory, School of Medical Sciences, State University of Campinas (UNICAMP), Campinas 13083-887, SP, Brazil
| | - Carolina Freitas Manzano
- Department of Hypertension, State Faculty of Medicine of São José do Rio Preto (FAMERP), São José do Rio Preto 15090-000, SP, Brazil
| | - Antônio Carlos Pires
- Department of Endocrinology, State Faculty of Medicine of São José do Rio Preto (FAMERP), São José do Rio Preto 15090-000, SP, Brazil
| | - Heitor Moreno
- Cardiovascular Pharmacology & Hypertension Laboratory, School of Medical Sciences, State University of Campinas (UNICAMP), Campinas 13083-887, SP, Brazil
| | - José Fernando Vilela-Martin
- Department of Hypertension, State Faculty of Medicine of São José do Rio Preto (FAMERP), São José do Rio Preto 15090-000, SP, Brazil
| | - Luciana Neves Cosenso-Martin
- Department of Endocrinology, State Faculty of Medicine of São José do Rio Preto (FAMERP), São José do Rio Preto 15090-000, SP, Brazil
| | - Juan Carlos Yugar-Toledo
- Department of Hypertension, State Faculty of Medicine of São José do Rio Preto (FAMERP), São José do Rio Preto 15090-000, SP, Brazil
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Ruiz CF, Garcia C, Jacox JB, Lawres L, Muzumdar MD. Decoding the obesity-cancer connection: lessons from preclinical models of pancreatic adenocarcinoma. Life Sci Alliance 2023; 6:e202302228. [PMID: 37648285 PMCID: PMC10474221 DOI: 10.26508/lsa.202302228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 08/15/2023] [Accepted: 08/21/2023] [Indexed: 09/01/2023] Open
Abstract
Obesity is a metabolic state of energy excess and a risk factor for over a dozen cancer types. Because of the rising worldwide prevalence of obesity, decoding the mechanisms by which obesity promotes tumor initiation and early progression is a societal imperative and could broadly impact human health. Here, we review results from preclinical models that link obesity to cancer, using pancreatic adenocarcinoma as a paradigmatic example. We discuss how obesity drives cancer development by reprogramming the pretumor or tumor cell and its micro- and macro-environments. Specifically, we describe evidence for (1) altered cellular metabolism, (2) hormone dysregulation, (3) inflammation, and (4) microbial dysbiosis in obesity-driven pancreatic tumorigenesis, denoting variables that confound interpretation of these studies, and highlight remaining gaps in knowledge. Recent advances in preclinical modeling and emerging unbiased analytic approaches will aid in further unraveling the complex link between obesity and cancer, informing novel strategies for prevention, interception, and therapy in pancreatic adenocarcinoma and other obesity-associated cancers.
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Affiliation(s)
- Christian F Ruiz
- https://ror.org/03v76x132 Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
- https://ror.org/03v76x132 Yale Cancer Biology Institute, Yale University, West Haven, CT, USA
| | - Cathy Garcia
- https://ror.org/03v76x132 Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
- https://ror.org/03v76x132 Yale Cancer Biology Institute, Yale University, West Haven, CT, USA
| | - Jeremy B Jacox
- https://ror.org/03v76x132 Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
- https://ror.org/03v76x132 Yale Cancer Biology Institute, Yale University, West Haven, CT, USA
- https://ror.org/03v76x132 Department of Medicine (Section of Medical Oncology), Yale University School of Medicine, New Haven, CT, USA
| | - Lauren Lawres
- https://ror.org/03v76x132 Department of Immunobiology, Yale University School of Medicine, New Haven, CT, USA
| | - Mandar D Muzumdar
- https://ror.org/03v76x132 Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
- https://ror.org/03v76x132 Yale Cancer Biology Institute, Yale University, West Haven, CT, USA
- https://ror.org/03v76x132 Department of Medicine (Section of Medical Oncology), Yale University School of Medicine, New Haven, CT, USA
- https://ror.org/03v76x132 Yale Cancer Center, Yale University, New Haven, CT, USA
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8
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Johnson RJ, Lanaspa MA, Sanchez-Lozada LG, Tolan D, Nakagawa T, Ishimoto T, Andres-Hernando A, Rodriguez-Iturbe B, Stenvinkel P. The fructose survival hypothesis for obesity. Philos Trans R Soc Lond B Biol Sci 2023; 378:20220230. [PMID: 37482773 PMCID: PMC10363705 DOI: 10.1098/rstb.2022.0230] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Accepted: 05/04/2023] [Indexed: 07/25/2023] Open
Abstract
The fructose survival hypothesis proposes that obesity and metabolic disorders may have developed from over-stimulation of an evolutionary-based biologic response (survival switch) that aims to protect animals in advance of crisis. The response is characterized by hunger, thirst, foraging, weight gain, fat accumulation, insulin resistance, systemic inflammation and increased blood pressure. The process is initiated by the ingestion of fructose or by stimulating endogenous fructose production via the polyol pathway. Unlike other nutrients, fructose reduces the active energy (adenosine triphosphate) in the cell, while blocking its regeneration from fat stores. This is mediated by intracellular uric acid, mitochondrial oxidative stress, the inhibition of AMP kinase and stimulation of vasopressin. Mitochondrial oxidative phosphorylation is suppressed, and glycolysis stimulated. While this response is aimed to be modest and short-lived, the response in humans is exaggerated due to gain of 'thrifty genes' coupled with a western diet rich in foods that contain or generate fructose. We propose excessive fructose metabolism not only explains obesity but the epidemics of diabetes, hypertension, non-alcoholic fatty liver disease, obesity-associated cancers, vascular and Alzheimer's dementia, and even ageing. Moreover, the hypothesis unites current hypotheses on obesity. Reducing activation and/or blocking this pathway and stimulating mitochondrial regeneration may benefit health-span. This article is part of a discussion meeting issue 'Causes of obesity: theories, conjectures and evidence (Part I)'.
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Affiliation(s)
- Richard J. Johnson
- Department of Medicine, University of Colorado Anschutz Medical Center, Aurora, CO 80016, USA
| | - Miguel A. Lanaspa
- Department of Medicine, University of Colorado Anschutz Medical Center, Aurora, CO 80016, USA
| | - L. Gabriela Sanchez-Lozada
- Department of Cardio-Renal Physiopathology, Instituto Nacional de Cardiología ‘Ignacio Chavez’, Mexico City 14080, Mexico
| | - Dean Tolan
- Biology Department, Boston University, Boston, MA 02215, USA
| | - Takahiko Nakagawa
- Department of Nephrology, Rakuwakai-Otowa Hospital, Kyoto 607-8062, Japan
| | - Takuji Ishimoto
- Department of Nephrology and Rheumatology, Aichi Medical University, Aichi 480-1103, Japan
| | - Ana Andres-Hernando
- Department of Medicine, University of Colorado Anschutz Medical Center, Aurora, CO 80016, USA
| | - Bernardo Rodriguez-Iturbe
- Department of Nephrology and Mineral Metabolism, Instituto Nacional de Ciencias Médicas y Nutrición ‘Salvador Zubirán’, Mexico City 14080, Mexico
| | - Peter Stenvinkel
- Department of Renal Medicine, Karolinska Institutet, Stockholm 171 77, Sweden
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Nestel PJ, Mori TA. Dairy Foods: Beneficial Effects of Fermented Products on Cardiometabolic Health. Curr Nutr Rep 2023; 12:478-485. [PMID: 37226031 DOI: 10.1007/s13668-023-00476-x] [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] [Accepted: 04/14/2023] [Indexed: 05/26/2023]
Abstract
PURPOSE OF REVIEW This review of recent observational studies and understanding of the complex nature of dairy foods is intended to reappraise the effects of different types of dairy foods on cardiovascular disease (CVD). RECENT FINDINGS Recent guidelines from major cardiovascular societies suggest that apart from the adverse effect of butter, consumption of more complex dairy products notably fermented varieties and yogurt in particular, appear to be inversely associated with outcomes of CVD and type 2 diabetes (T2D). Reduced fat in dairy food remains preferred for people at increased CVD risk. Changed evidence has led to new advice regarding consumption of some dairy foods. The apparent beneficial effects of fermented milk products, particularly yogurt, allow for increased consumption of nutritious staple foods. Recent national guidelines reflect this view.
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Affiliation(s)
- Paul J Nestel
- Baker Heart and Diabetes Institute, 75 Commercial Rd, Melbourne, 3004, Australia.
| | - Trevor A Mori
- Medical School, University of Western Australia, Perth, Australia
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Sasaki M, Yuki K, Hanyuda A, Yamagishi K, Motomura K, Kurihara T, Tomita Y, Mori K, Ozawa N, Ozawa Y, Sawada N, Negishi K, Tsubota K, Tsugane S, Iso H. Associations between fatty acid intake and diabetic retinopathy in a Japanese population. Sci Rep 2023; 13:12903. [PMID: 37558714 PMCID: PMC10412616 DOI: 10.1038/s41598-023-39734-x] [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: 09/28/2022] [Accepted: 07/30/2023] [Indexed: 08/11/2023] Open
Abstract
Residents of Chikusei City, aged 40-74 years, underwent systemic and ophthalmological screening, and participants with diabetes were included in this analysis. Dietary intake was assessed using a food frequency questionnaire and calculated as a percentage of the total energy. The presence of diabetic retinopathy (DR) was defined as Early Treatment Diabetic Retinopathy Study levels ≥ 20 in either eye. The association between dietary fatty acid intake and DR has been examined in a cross-sectional study. Among the 647 diabetic participants, 100 had DR. The mean total fat and saturated fatty acid (SFA) intakes were 22.0% and 7.3% of the total energy intake, respectively. After adjusting for potential confounders, the highest quartiles of total fat and SFA intake were positively associated with the presence of DR compared with the lowest quartiles (odds ratios (95% confidence intervals), 2.61 (1.07-6.39), p for trend = 0.025, and 2.40 (1.12-5.17), p for trend = 0.013, respectively). No significant associations were found between DR prevalence and monounsaturated or unsaturated fatty acid intake. These results suggest that a high intake of fat and SFA may affect the development of DR, even in individuals whose total fat intake is generally much lower than that of Westerners.
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Affiliation(s)
- Mariko Sasaki
- Department of Ophthalmology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
- National Hospital Organization Tokyo Medical Center, 2-5-1 Higashigaoka Meguro-ku, Tokyo, 152-8902, Japan.
| | - Kenya Yuki
- Department of Ophthalmology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Akiko Hanyuda
- Department of Ophthalmology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Kazumasa Yamagishi
- Department of Public Health Medicine, Faculty of Medicine, and Health Services Research and Development Center, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575, Japan.
- Ibaraki Western Medical Center, 555 Otsuka, Chikusei, Ibaraki, 308-0813, Japan.
| | - Kaoru Motomura
- Department of Ophthalmology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Toshihide Kurihara
- Department of Ophthalmology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Yohei Tomita
- Department of Ophthalmology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Kiwako Mori
- Department of Ophthalmology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Nobuhiro Ozawa
- Department of Ophthalmology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Yoko Ozawa
- St.Luke's International Hospital, 9-1 Akashi-cho, Chuo-ku, Tokyo, 104-8560, Japan
| | - Norie Sawada
- Divison of Cohort Research, National Cancer Center Institute for Cancer Control, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
| | - Kazuno Negishi
- Department of Ophthalmology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Kazuo Tsubota
- Department of Ophthalmology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Shoichiro Tsugane
- Divison of Cohort Research, National Cancer Center Institute for Cancer Control, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, 1-23-1 Toyama, Shinjuku-ku, Tokyo, 162-8636, Japan
| | - Hiroyasu Iso
- Department of Public Health Medicine, Faculty of Medicine, and Health Services Research and Development Center, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575, Japan
- Institute for Global Health Policy Research, Bureau of International Health Cooperation, National Center for Global Health and Medicine, 1-21-1 Toyama, Shinjuku-ku, Tokyo, 162-8655, Japan
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Wasana KGP, Attanayake AP, Weerarathna TP, Amarasekera DABN, Jayatilaka KAPW. Association of dietary intake with body mass index and glycemic profile among newly diagnosed patients with type 2 diabetes mellitus. Am J Hum Biol 2023; 35:e23870. [PMID: 36695499 DOI: 10.1002/ajhb.23870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 12/25/2022] [Accepted: 01/10/2023] [Indexed: 01/26/2023] Open
Abstract
INTRODUCTION Dietary intake plays an important role in determining body mass index (BMI) and glycemic profile in patients with type 2 diabetes mellitus (T2DM). Our aim was to describe habitual dietary intake and its associations with BMI and glycemic profile in a cohort of patients with newly diagnosed T2DM in Sri Lanka. METHODS A cross-sectional study was carried out among 158 patients with newly diagnosed T2DM in Galle, Sri Lanka. Data on demographic, lifestyle, and family history of diabetes mellitus, and clinical measures were collected. The dietary information was collected using a 24-h dietary recall. RESULTS Among the total number of study subjects, only 12.0%, 5.7% and 1.3% met the recommended daily consumption value of protein, fat, and fiber, respectively, whereas 99.4% of subjects had taken carbohydrates that exceeded the recommended consumption. There was a positive association between carbohydrate intake and BMI (0.004, [0.002], p = .048) and carbohydrate intake and glycated hemoglobin (HbA1C ) (0.001, [0.000], p = .049). Fat intake showed positive associations with BMI (0.029, [0.011], p = .006) and HbA1C (0.005, [0.002], p = .050). Protein intake showed a positive association with HbA1C (0.006, [0.003], p = .023). The aforementioned associations were observed after adjusting for demographic, lifestyle, and history of diabetes among the first-degree family members. The carbohydrate intake was positively associated with BMI (0.010, [0.003], p = .003) and HbA1C (0.001, [0.000], p = .050) with further adjustment in nutrient intake (except when used as an independent variable). Furthermore, the fat intake was associated with BMI (0.031, [0.011], p = .004) and HbA1C (0.005 [0.002], p = .050) with additional adjustments. CONCLUSIONS The diet of the majority of newly diagnosed T2DM patients in this cohort consisted of a higher carbohydrate intake than the recommended level. However, they did not meet the recommended daily intake of protein, fat, and fiber. Both carbohydrate and fat intake were significantly and positively associated with BMI and HbA1C in patients with newly diagnosed T2DM.
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12
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Meeks KA, Bentley AR, Agyemang C, Galenkamp H, van den Born BJH, Hanssen NM, Doumatey AP, Adeyemo AA, Rotimi CN. Ancestral and environmental patterns in the association between triglycerides and other cardiometabolic risk factors. EBioMedicine 2023; 91:104548. [PMID: 37004336 PMCID: PMC10102222 DOI: 10.1016/j.ebiom.2023.104548] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 03/14/2023] [Accepted: 03/16/2023] [Indexed: 04/03/2023] Open
Abstract
BACKGROUND West Africans and African Americans with substantial (∼80%) West African ancestry are characterized by low levels of triglycerides (TG) compared to East Africans and Europeans. The impact of these varying TG levels on other cardiometabolic risk factors is unclear. We compared the strength of association between TG with hypertension, blood pressure, BMI, waist circumference, type 2 diabetes (T2D), and fasting glucose across West African (WA), East African (EA), and European (EU) ancestry populations residing in three vastly different environmental settings: sub-Saharan Africa, United States, and Europe. METHODS We analysed data from four cross-sectional studies that included WA in sub-Saharan Africa (n = 7201), the U.S. (n = 4390), and Europe (n = 6436), EA in sub-Saharan Africa (n = 781), and EU in the U.S. (n = 8670) and Europe (n = 4541). Linear regression analyses were used to test the association between TG and cardiometabolic risk factors. FINDINGS Higher adjusted regression coefficients were observed in EU compared with WA ancestry for TG on hypertension (EU β [95% CI]: 0.179 [0.156, 0.203], WA β [95% CI]: 0.102 [0.086, 0.118]), BMI (EU β [95% CI]: 0.028 [0.027, 0.030], WA β [95% CI]: 0.015 [0.014, 0.016]), and waist circumference (EU β [95% CI]: 0.013 [0.013, 0.014], WA β [95% CI]: 0.009 [0.008, 0.009) (all ancestry × trait interaction P-values <0.05), irrespective of environmental differences within ancestry groups. Less consistency was observed among EA. Associations of TG with T2D did not follow ancestry patterns, with substantial variation observed between environments. INTERPRETATION TG may not be an equally strong associated with other established cardiometabolic risk factors in West and East Africans in contrast to European ancestry populations. The value of TG for identifying individuals at high risk for developing metabolic disorders needs to be re-evaluated for African ancestry populations. FUNDING National Institutes of Health, European Commission, Dutch Heart Foundation, Netherlands Organization for Health Research and Development, Centers for Disease Control and Prevention.
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Zhu X, Chen L, Lin J, Ba M, Liao J, Zhang P, Zhao C. Association between fatty acids and the risk of impaired glucose tolerance and type 2 diabetes mellitus in American adults: NHANES 2005-2016. Nutr Diabetes 2023; 13:8. [PMID: 37127641 PMCID: PMC10151340 DOI: 10.1038/s41387-023-00236-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 03/11/2023] [Accepted: 04/06/2023] [Indexed: 05/03/2023] Open
Abstract
BACKGROUND Fatty acids (FAs) play a major role in regulating insulin sensitivity. However, owing to dietary quantitative tools, it has been challenging to study the dietary FAs in previous studies. There is a lack of knowledge regarding the associations between dietary FAs and the risk of impaired glucose tolerance (IGT) and type 2 diabetes mellitus (T2DM). METHODS Dietary FAs, adjustment of variables including age, sex, race, educational level, poverty to income ratio, body mass index, smoking, hypertension, physical activity, and diabetes data were extracted from the National Health and Nutrition Examination Survey 2005-2016. A multivariate logistic regression model was used to determine the associations between FA intake and the risk of IGT and T2DM. RESULTS This serial cross-sectional study included 9082 samples. After adjusting all the variables, a negative correlation was observed between total saturated FA and the risk of IGT (OR = 0.991, 95% (CI): 0.985-0.998, P = 0.024). Total FA at quintile 4 was negatively correlated with T2DM (OR = 0.714, 95% CI: 0.532-0.959, P = 0.025) compared with quintile 1. Factor analysis identified four factors of which F4 was negatively associated with the risk of T2DM (OR = 0.824, 95% CI: 0.715-0.949, P = 0.029). Based on this factor, we identified an unsaturated FA signature (n = 4 FAs, including octadecenoic acid (18:1), octadecadienoic acid (18:2), octadecatrienoic acid (18:3), and eicosenoic acid (20:1)). CONCLUSIONS Several unsaturated FAs with high proportions in natural oils may reduce the risk of T2DM.
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Affiliation(s)
- Xiaoqiong Zhu
- Department of Nutrition, School of Public Health, Anhui Medical University, Anhui, Hefei, 230032, PR China
| | - Liu Chen
- Department of Nutrition, School of Public Health, Anhui Medical University, Anhui, Hefei, 230032, PR China
| | - Jiansheng Lin
- Jieyang Center for Disease Control and Prevention, Guangdong, Jieyang, 522000, PR China
| | - Mingqin Ba
- Department of Nutrition, School of Public Health, Anhui Medical University, Anhui, Hefei, 230032, PR China
| | - Junqiu Liao
- Department of Nutrition, School of Public Health, Anhui Medical University, Anhui, Hefei, 230032, PR China
| | - Ping Zhang
- Department of Nutrition, School of Public Health, Anhui Medical University, Anhui, Hefei, 230032, PR China
| | - Cunxi Zhao
- Department of Nutrition, School of Public Health, Anhui Medical University, Anhui, Hefei, 230032, PR China.
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14
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Ogawa A, Tsujiguchi H, Nakamura M, Hayashi K, Hara A, Suzuki K, Miyagi S, Kannon T, Takazawa C, Zhao J, Kambayashi Y, Shimizu Y, Shibata A, Konoshita T, Suzuki F, Tsuboi H, Tajima A, Nakamura H. Higher Intake of Vegetable Protein and Lower Intake of Animal Fats Reduce the Incidence of Diabetes in Non-Drinking Males: A Prospective Epidemiological Analysis of the Shika Study. Nutrients 2023; 15:nu15041040. [PMID: 36839398 PMCID: PMC9966791 DOI: 10.3390/nu15041040] [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: 02/01/2023] [Revised: 02/17/2023] [Accepted: 02/18/2023] [Indexed: 02/22/2023] Open
Abstract
Although nutrient intake and alcohol consumption are both closely associated with the incidence of diabetes, their interrelationships remain unclear. Therefore, we herein have investigated the interrelationships among nutrient intake, alcohol consumption, and the incidence of diabetes using longitudinal data. This study included 969 residents ≥40 years living in Japan. In 2011 and 2012, a baseline study was conducted using questionnaires on basic demographics, diabetes, nutrient intake, and lifestyle habits. In 2018 and 2019, a follow-up study was performed using questionnaires and medical records on diabetes. Two-way analysis of covariance (two-way ANCOVA) was used to test the interactions of drinking habits and diabetes incidence on nutrients intake. The prospective relationship between nutrient intake at baseline and the incidence of diabetes in the follow-up stratified by drinkers and non-drinkers was evaluated using multiple logistic regression analysis. Interactions were observed for vegetable protein intake (p = 0.023) and animal fat intake (p = 0.016) in males. Vegetable protein intake negatively correlated with the incidence of diabetes in non-drinkers (odds ratio (OR): 0.208; 95% confidence interval (95% CI): 0.046-0.935; p = 0.041). Furthermore, animal fat intake positively correlated with the incidence of diabetes in non-drinkers (OR: 1.625; 95% CI: 1.020-2.589; p = 0.041). Therefore, vegetable protein and animal fat intakes in combination with drinking habits need to be considered for the prevention of diabetes.
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Affiliation(s)
- Aya Ogawa
- Department of Public Health, Graduate School of Advanced Preventive Medical Sciences, Kanazawa University, 13-1 Takaramachi, Kanazawa 920-8640, Ishikawa, Japan
- Faculty of Nutrition, Osaka Seikei College, 3-10-62 Aikawa, Higashiyodogawa-ku, Osaka 533-0007, Osaka, Japan
| | - Hiromasa Tsujiguchi
- Department of Public Health, Graduate School of Advanced Preventive Medical Sciences, Kanazawa University, 13-1 Takaramachi, Kanazawa 920-8640, Ishikawa, Japan
- Department of Hygiene and Public Health, Faculty of Medicine, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, 13-1 Takaramachi, Kanazawa 920-8640, Ishikawa, Japan
- Advanced Preventive Medical Sciences Research Center, Kanazawa University, 13-1 Takaramachi, Kanazawa 920-8640, Ishikawa, Japan
| | - Masaharu Nakamura
- Department of Hygiene and Public Health, Faculty of Medicine, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, 13-1 Takaramachi, Kanazawa 920-8640, Ishikawa, Japan
| | - Koichi Hayashi
- Department of Hygiene and Public Health, Faculty of Medicine, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, 13-1 Takaramachi, Kanazawa 920-8640, Ishikawa, Japan
- Department of Food Sciences and Nutrition, School of Food Sciences and Nutrition, Mukogawa Women’s University, 6-46 Ikebirakicho, Nishinomiya 663-8558, Hyogo, Japan
| | - Akinori Hara
- Department of Public Health, Graduate School of Advanced Preventive Medical Sciences, Kanazawa University, 13-1 Takaramachi, Kanazawa 920-8640, Ishikawa, Japan
- Department of Hygiene and Public Health, Faculty of Medicine, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, 13-1 Takaramachi, Kanazawa 920-8640, Ishikawa, Japan
- Advanced Preventive Medical Sciences Research Center, Kanazawa University, 13-1 Takaramachi, Kanazawa 920-8640, Ishikawa, Japan
| | - Keita Suzuki
- Department of Hygiene and Public Health, Faculty of Medicine, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, 13-1 Takaramachi, Kanazawa 920-8640, Ishikawa, Japan
| | - Sakae Miyagi
- Innovative Clinical Research Center, Kanazawa University, 13-1 Takaramachi, Kanazawa 920-8640, Ishikawa, Japan
| | - Takayuki Kannon
- Department of Biomedical Data Science, School of Medicine, Fujita Health University, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Aichi, Japan
| | - Chie Takazawa
- Department of Hygiene and Public Health, Faculty of Medicine, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, 13-1 Takaramachi, Kanazawa 920-8640, Ishikawa, Japan
| | - Jiaye Zhao
- Department of Public Health, Graduate School of Advanced Preventive Medical Sciences, Kanazawa University, 13-1 Takaramachi, Kanazawa 920-8640, Ishikawa, Japan
| | - Yasuhiro Kambayashi
- Department of Hygiene and Public Health, Faculty of Medicine, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, 13-1 Takaramachi, Kanazawa 920-8640, Ishikawa, Japan
- Department of Public Health, Faculty of Veterinary Medicine, Okayama University of Science, 1-3 Ikoi-no-oka, Imabari 794-8555, Ehime, Japan
| | - Yukari Shimizu
- Department of Nursing, Faculty of Health Sciences, Komatsu University, 14-1 He Mukai-Motoori-Machi, Komatsu 923-0961, Ishikawa, Japan
| | - Aki Shibata
- Department of Hygiene and Public Health, Faculty of Medicine, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, 13-1 Takaramachi, Kanazawa 920-8640, Ishikawa, Japan
| | - Tadashi Konoshita
- Third Department of Internal Medicine, University of Fukui Faculty of Medical Sciences, 23-3 Matsuokashimoaiduki, Eiheiji 910-1104, Fukui, Japan
| | - Fumihiko Suzuki
- Department of Hygiene and Public Health, Faculty of Medicine, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, 13-1 Takaramachi, Kanazawa 920-8640, Ishikawa, Japan
- Community Medicine Support Dentistry, Ohu University Hospital, 31-1 Misumidou, Tomitamachi, Kohriyama 963-8611, Fukushima, Japan
| | - Hirohito Tsuboi
- Department of Hygiene and Public Health, Faculty of Medicine, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, 13-1 Takaramachi, Kanazawa 920-8640, Ishikawa, Japan
- Graduate School of Human Nursing, The University of Shiga Prefecture, 2500 Hassaka-cho, Hikone 522-8533, Shiga, Japan
| | - Atsushi Tajima
- Department of Bioinformatics and Genomics, Graduate School of Advanced Preventive Medical Sciences, Kanazawa University, 13-1 Takaramachi, Kanazawa 920-8640, Ishikawa, Japan
| | - Hiroyuki Nakamura
- Department of Public Health, Graduate School of Advanced Preventive Medical Sciences, Kanazawa University, 13-1 Takaramachi, Kanazawa 920-8640, Ishikawa, Japan
- Department of Hygiene and Public Health, Faculty of Medicine, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, 13-1 Takaramachi, Kanazawa 920-8640, Ishikawa, Japan
- Advanced Preventive Medical Sciences Research Center, Kanazawa University, 13-1 Takaramachi, Kanazawa 920-8640, Ishikawa, Japan
- Correspondence: ; Tel.: +81-76-265-2288
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15
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The Role of Gut Microbiota in High-Fat-Diet-Induced Diabetes: Lessons from Animal Models and Humans. Nutrients 2023; 15:nu15040922. [PMID: 36839280 PMCID: PMC9963658 DOI: 10.3390/nu15040922] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 02/02/2023] [Accepted: 02/10/2023] [Indexed: 02/15/2023] Open
Abstract
The number of diabetes mellitus patients is increasing rapidly worldwide. Diet and nutrition are strongly believed to play a significant role in the development of diabetes mellitus. However, the specific dietary factors and detailed mechanisms of its development have not been clearly elucidated. Increasing evidence indicates the intestinal microbiota is becoming abundantly apparent in the progression and prevention of insulin resistance in diabetes. Differences in gut microbiota composition, particularly butyrate-producing bacteria, have been observed in preclinical animal models as well as human patients compared to healthy controls. Gut microbiota dysbiosis may disrupt intestinal barrier functions and alter host metabolic pathways, directly or indirectly relating to insulin resistance. In this article, we focus on dietary fat, diabetes, and gut microbiome characterization. The promising probiotic and prebiotic approaches to diabetes, by favorably modifying the composition of the gut microbial community, warrant further investigation through well-designed human clinical studies.
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Wendeu-Foyet G, Bellicha A, Chajès V, Huybrechts I, Bard JM, Debras C, Srour B, Sellem L, Fezeu LK, Julia C, Kesse-Guyot E, Agaësse C, Druesne-Pecollo N, Galan P, Hercberg S, Deschasaux-Tanguy M, Touvier M. Different Types of Industry-Produced and Ruminant Trans Fatty Acid Intake and Risk of Type 2 Diabetes: Findings From the NutriNet-Santé Prospective Cohort. Diabetes Care 2023; 46:321-330. [PMID: 36542554 DOI: 10.2337/dc22-0900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Accepted: 11/07/2022] [Indexed: 12/24/2022]
Abstract
OBJECTIVE The deleterious effects of trans fatty acids (TFAs) on cardiovascular health are well established; however, their impact on type 2 diabetes remains poorly understood. In particular, little is known about the impact of specific TFA types on type 2 diabetes etiology. We aimed to explore the associations between different types of TFAs (total, ruminant, industry produced [iTFAs], and corresponding specific isomers) and risk of type 2 diabetes. RESEARCH DESIGN AND METHODS A total of 105,551 participants age >18 years from the French NutriNet-Santé cohort (2009-2021) were included (mean baseline age 42.7 years; SD 14.6 years); 79.2% were women. Dietary intake data, including usual TFA intake, were collected using repeated 24-h dietary records (n = 5.7; SD 3.1). Associations between sex-specific quartile of dietary TFAs and diabetes risk were assessed using multivariable Cox models. RESULTS Total TFA intake was associated with higher type 2 diabetes risk (hazard ratio [HR]quartile 4 vs. 1 1.38; 95% CI 1.11-1.73; Ptrend < 0.001; n = 969 incident cases). This association, specifically observed for iTFAs (HR 1.45; 95% CI 1.15-1.83; Ptrend < 0.001), was mainly driven by elaidic acid (HR 1.37; 95% CI 1.09-1.72; Ptrend < 0.001) and linolelaidic acid (HR 1.29; 95% CI 1.04-1.58; Ptrend = 0.07). In contrast, ruminant TFAs were not significantly associated with risk of type 2 diabetes. CONCLUSIONS In this large prospective cohort, higher intakes of total and iTFAs were associated with increased type 2 diabetes risk. These findings support the World Health Organization's recommendation to eliminate iTFAs from the food supply worldwide. Consumers should be advised to limit the consumption of food products containing partially hydrogenated oils (main vector of iTFAs). This may contribute to lowering the substantial global burden of type 2 diabetes.
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Affiliation(s)
- Gaëlle Wendeu-Foyet
- INSERM U1153, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement U1125, Conservatoire National des Arts et Métiers, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center-University Paris Cité, Sorbonne Paris Nord University, Bobigny, France
- Nutrition and Cancer Research Network, Jouy-en-Josas, France
| | - Alice Bellicha
- INSERM U1153, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement U1125, Conservatoire National des Arts et Métiers, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center-University Paris Cité, Sorbonne Paris Nord University, Bobigny, France
- Nutrition and Cancer Research Network, Jouy-en-Josas, France
| | - Véronique Chajès
- Nutrition and Cancer Research Network, Jouy-en-Josas, France
- International Agency for Research on Cancer, Lyon, France
| | - Inge Huybrechts
- Nutrition and Cancer Research Network, Jouy-en-Josas, France
- International Agency for Research on Cancer, Lyon, France
| | - Jean-Marie Bard
- EA 2160-IUML FR3473 CNRS, Laboratory of General and Applied Biochemistry, Nantes University, Nantes, France
- Cancer Institute, Saint-Herblain, France
| | - Charlotte Debras
- INSERM U1153, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement U1125, Conservatoire National des Arts et Métiers, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center-University Paris Cité, Sorbonne Paris Nord University, Bobigny, France
- Nutrition and Cancer Research Network, Jouy-en-Josas, France
| | - Bernard Srour
- INSERM U1153, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement U1125, Conservatoire National des Arts et Métiers, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center-University Paris Cité, Sorbonne Paris Nord University, Bobigny, France
- Nutrition and Cancer Research Network, Jouy-en-Josas, France
| | - Laury Sellem
- INSERM U1153, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement U1125, Conservatoire National des Arts et Métiers, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center-University Paris Cité, Sorbonne Paris Nord University, Bobigny, France
- Nutrition and Cancer Research Network, Jouy-en-Josas, France
| | - Léopold K Fezeu
- INSERM U1153, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement U1125, Conservatoire National des Arts et Métiers, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center-University Paris Cité, Sorbonne Paris Nord University, Bobigny, France
| | - Chantal Julia
- INSERM U1153, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement U1125, Conservatoire National des Arts et Métiers, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center-University Paris Cité, Sorbonne Paris Nord University, Bobigny, France
- Public Health Department, Avicenne Hospital, Assistance Publique-Hôpitaux de Paris, Bobigny, France
| | - Emmanuelle Kesse-Guyot
- INSERM U1153, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement U1125, Conservatoire National des Arts et Métiers, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center-University Paris Cité, Sorbonne Paris Nord University, Bobigny, France
- Nutrition and Cancer Research Network, Jouy-en-Josas, France
| | - Cédric Agaësse
- INSERM U1153, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement U1125, Conservatoire National des Arts et Métiers, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center-University Paris Cité, Sorbonne Paris Nord University, Bobigny, France
| | - Nathalie Druesne-Pecollo
- INSERM U1153, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement U1125, Conservatoire National des Arts et Métiers, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center-University Paris Cité, Sorbonne Paris Nord University, Bobigny, France
- Nutrition and Cancer Research Network, Jouy-en-Josas, France
| | - Pilar Galan
- INSERM U1153, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement U1125, Conservatoire National des Arts et Métiers, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center-University Paris Cité, Sorbonne Paris Nord University, Bobigny, France
- Nutrition and Cancer Research Network, Jouy-en-Josas, France
| | - Serge Hercberg
- INSERM U1153, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement U1125, Conservatoire National des Arts et Métiers, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center-University Paris Cité, Sorbonne Paris Nord University, Bobigny, France
- Nutrition and Cancer Research Network, Jouy-en-Josas, France
- Public Health Department, Avicenne Hospital, Assistance Publique-Hôpitaux de Paris, Bobigny, France
| | - Mélanie Deschasaux-Tanguy
- INSERM U1153, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement U1125, Conservatoire National des Arts et Métiers, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center-University Paris Cité, Sorbonne Paris Nord University, Bobigny, France
- Nutrition and Cancer Research Network, Jouy-en-Josas, France
| | - Mathilde Touvier
- INSERM U1153, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement U1125, Conservatoire National des Arts et Métiers, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center-University Paris Cité, Sorbonne Paris Nord University, Bobigny, France
- Nutrition and Cancer Research Network, Jouy-en-Josas, France
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17
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Gaeini Z, Bahadoran Z, Mirmiran P. Saturated Fatty Acid Intake and Risk of Type 2 Diabetes: An Updated Systematic Review and Dose-Response Meta-Analysis of Cohort Studies. Adv Nutr 2022; 13:2125-2135. [PMID: 36056919 PMCID: PMC9776642 DOI: 10.1093/advances/nmac071] [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: 07/23/2021] [Revised: 08/25/2021] [Accepted: 06/15/2022] [Indexed: 01/29/2023] Open
Abstract
This systematic review and meta-analysis was conducted to pool findings of cohort studies that investigated hazards of type 2 diabetes mellitus (T2DM) in relation to intakes of SFAs. A systematic search was conducted in the PubMed, Scopus, and Embase databases up to June 2021 to find eligible studies. Review articles or commentaries, clinical trials, cross-sectional studies, studies on gestational or type 1 diabetes patients, animal studies, articles with no access to full-texts, articles published in non-English languages, and articles with missing critical data needed for the systematic review were excluded from the meta-analysis. A random-effects model was used to combine study-specific results. Thirteen cohort studies with 361,686 participants and 11,865 T2DM events were included. Dietary total SFA intake, as well as dietary palmitic acid (PA) or stearic acid (SA) were not associated with risk of T2DM when the highest was compared with the lowest intake category (HR = 0.99; 95% CI: 0.91, 1.09; n = 13 for total SFAs; HR = 0.96; 95% CI: 0.79, 1.15; n = 4 for PA; and HR = 1.08; 95% CI: 0.79, 1.49; n = 4 for SA). However, the risk of T2DM decreased by 11% in the highest compared with the lowest category of dietary lauric acid (HR = 0.89; 95% CI: 0.82, 0.97; n = 2), and by 17% in the highest compared with lowest category of dietary myristic acid (MA) (HR = 0.83; 95% CI: 0.74, 0.92; n = 3). There was evidence of publication bias among studies on dietary total SFAs and T2DM. Our results indicated no significant association between dietary total SFA and risk of T2DM. However, dietary intake of MA was negatively associated with developing T2DM.
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Affiliation(s)
- Zahra Gaeini
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | | | - Parvin Mirmiran
- Department of Clinical Nutrition and Dietetics, Faculty of Nutrition Sciences and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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18
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Yang Y, Na X, Xi Y, Xi M, Yang H, Li Z, Zhao A. Association between dairy consumption and the risk of diabetes: A prospective cohort study from the China Health and Nutrition Survey. Front Nutr 2022; 9:997636. [PMID: 36225884 PMCID: PMC9550167 DOI: 10.3389/fnut.2022.997636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 08/31/2022] [Indexed: 11/13/2022] Open
Abstract
Diet is closely related to the risk of diabetes; yet the relationship between dairy consumption and the risk of diabetes is unclear with conflicting evidence from previous studies. This study used data from the Chinese Health and Nutrition Survey to investigate the association between dairy consumption and diabetes. A total of 15,512 adults were included; dairy consumption at each survey was assessed by the 3-day 24-h recall and weighed food record methods, and diabetes occurrence was derived from self-reported information. The association between dairy consumption and diabetes was explored using Cox regression and further stratified with BMI and energy intake. Results indicated that 12,368 (79.7%) participants had no dairy consumption, while 2,179 (14.0%) and 947 (6.1%) consumed dairy at 0.1-100 and >100 g/day, respectively. After adjusting for potential confounders, dairy consumption of 0.1-100 g/day was associated with lower risk of diabetes in all participants (HR 0.53, 95% CI:0.38 -0.74; P < 0.001) and males (HR 0.50, 95% CI: 0.31-0.80; P = 0.004). According to the restricted cubic splines (RCS), the protective effect on diabetes was significant in the total population with dairy consumption ranging from 25 to 65 g/day (HR <1, P = 0.025). In the stratified analysis, consuming 30-80 g/day was associated with reduced diabetes risk among the ≤ 2,000 kcal/day energy intake group (HR <1, P = 0.023). In conclusion, dairy consumption was inversely associated with a reduced diabetes risk in Chinese population. Further studies are required to examine the optimal level of dairy consumption for preventing diabetes in the Chinese population.
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Affiliation(s)
- Yucheng Yang
- Vanke School of Public Health, Tsinghua University, Beijing, China
- Institute for Healthy China, Tsinghua University, Beijing, China
| | - Xiaona Na
- Vanke School of Public Health, Tsinghua University, Beijing, China
- Institute for Healthy China, Tsinghua University, Beijing, China
| | - Yuandi Xi
- School of Public Health, Capital Medical University, Beijing, China
| | - Menglu Xi
- Vanke School of Public Health, Tsinghua University, Beijing, China
- Institute for Healthy China, Tsinghua University, Beijing, China
| | - Haibing Yang
- Vanke School of Public Health, Tsinghua University, Beijing, China
- Institute for Healthy China, Tsinghua University, Beijing, China
| | - Zhihui Li
- Vanke School of Public Health, Tsinghua University, Beijing, China
- Institute for Healthy China, Tsinghua University, Beijing, China
| | - Ai Zhao
- Vanke School of Public Health, Tsinghua University, Beijing, China
- Institute for Healthy China, Tsinghua University, Beijing, China
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19
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Dietary Carbohydrate as Glycemic Load, Not Fat, Coupled with Genetic Permissiveness Favoring Rapid Growth and Extra Calories, Dictate Metabolic Syndrome and Diabetes Induction in Nile Rats ( Arvicanthis niloticus). Nutrients 2022; 14:nu14153064. [PMID: 35893924 PMCID: PMC9331090 DOI: 10.3390/nu14153064] [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: 06/13/2022] [Revised: 07/05/2022] [Accepted: 07/12/2022] [Indexed: 02/01/2023] Open
Abstract
Objective: Whether dietary carbohydrate (CHO) or fat is more involved in type 2 diabetes (T2DM) induction uncomplicated by dietary fiber was addressed in a spontaneous diabetic model, the diurnal Nile rat that mimics the human condition. Methods: A total of 138 male Nile rats were fed plant-based and animal-based saturated fat where 10% energy as CHO and fat were exchanged across 5 diets keeping protein constant, from 70:10:20 to 20:60:20 as CHO:fat:protein %energy. Diabetes induction was analyzed by: 1. diet composition, i.e., CHO:fat ratio, to study the impact of diet; 2. quintiles of average caloric intake per day to study the impact of calories; 3. quintiles of diabetes severity to study the epigenetic impact on diabetes resistance. Results: High glycemic load (GLoad) was most problematic if coupled with high caloric consumption. Diabetes severity highlighted rapid growth and caloric intake as likely epigenetic factors distorting glucose metabolism. The largest weanling rats ate more, grew faster, and developed more diabetes when the dietary GLoad exceeded their gene-based metabolic capacity for glucose disposal. Diabetes risk increased for susceptible rats when energy intake exceeded 26 kcal/day and the GLoad was >175/2000 kcal of diet and when the diet provided >57% energy as CHO. Most resistant rats ate <25 kcal/day independent of the CHO:fat diet ratio or the GLoad adjusted to body size. Conclusion: Beyond the CHO:fat ratio and GLoad, neither the type of fat nor the dietary polyunsaturated/saturated fatty acid (P/S) ratio had a significant impact, suggesting genetic permissiveness affecting caloric and glucose intake and glucose disposition were key to modulating Nile rat diabetes. Fat became protective by limiting GLoad when it contributed >40% energy and displaced CHO to <50% energy, thereby decreasing the number of diabetic rats and diabetes severity.
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20
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Individual SFA intake and risk of overweight/obesity: findings from a population-based nationwide cohort study. Br J Nutr 2022; 128:75-83. [PMID: 34338170 DOI: 10.1017/s0007114521002890] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
The relationship between SFA consumption and the risk of overweight/obesity remains unclear. Epidemiological evidence is lacking among Chinese population. This study aimed to investigate the association between individual dietary SFA intake and the risk of overweight/obesity in Chinese adults. Data from 8465 adults with BMI < 24 kg/m2 at entry in the China Health and Nutrition Survey (1989-2011) were analysed. Three-day 24-h dietary records were used to collect dietary data. Cox proportional hazards regression models were constructed to estimate hazard ratios (HR) and 95 % CI for the risk of developing overweight or obesity. A total of 3171 incident cases of overweight/obesity were identified (1649 for women and 1522 for men) during a median of 11 years of follow-up. Compared with the lowest category, the intake of total SFA (TSFA) showed no significant association with the risk of overweight/obesity. However, an increased risk of overweight/obesity was observed with a higher intake of medium chain SFA (MCSFA) (Ptrend = 0·004), especially decanoic acid (10:0) (HR was 1·25 (95 % CI 1·10, 1·42) comparing the highest category with the reference group; Ptrend < 0·001), whereas an inverse relationship was observed for hexanoic acid (6:0) consumption; compared with non-consumers, 6:0 intake was associated with 32 % lower risk of overweight/obesity (HR: 0·68 (95 % CI 0·56, 0·84); Ptrend < 0·001). Overall, the intake of subtypes of MCSFA but not TSFA was associated with the risk of overweight/obesity. Increasing hexanoic acid (6:0) and limiting decanoic acid (10:0) consumption may be protective for overweight/obesity among Chinese population.
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21
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Alami F, Mohseni GK, Ahmadzadeh M, Vahid F, Gholamalizadeh M, Masoumvand M, Shekari S, Alizadeh A, Shafaei H, Doaei S. The Association Between Fasting Blood Sugar and Index of Nutritional Quality in Adult Women. Front Nutr 2022; 9:883672. [PMID: 35811985 PMCID: PMC9263713 DOI: 10.3389/fnut.2022.883672] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 05/31/2022] [Indexed: 01/04/2023] Open
Abstract
Aim It's unclear whether diet quality affects glycemic management. The index of nutritional quality (INQ) can examine diets both quantitatively and qualitatively (INQ). Hence, this study aimed to determine whether INQ and fasting blood sugar (FBS) are related among Iranian women. Methods This cross-sectional study was conducted on 360 adult Iranian women. Data were collected on the participants' general characteristics, medical history, anthropometric indices, physical activity, and dietary intake. For nutrient intake assessment, a valid food frequency questionnaire (FFQ) was used, and INQ was then calculated using the daily nutrient intake. Results After adjusting for age, FBS was significantly inverse associated with INQ for vitamins A (B = −0.193, p < 0.01), magnesium (B = −0.137, p < 0.01), phosphor (B = −0.175, p < 0.01), zinc (B = −0.113, p < 0.01), vitamin K (B = −0.197, p < 0.01), manganese (B = −0.111, p < 0.01) and selenium (B = −0.123, p < 0.01). The association between FBS and INQ for Se and Mn was disappeared after further adjustment for gender, body mass index (BMI), menopausal status, and total energy intake. Conclusion There was a significant inverse relationship between FBS and the INQ of vitamin A, manganese, phosphor, zinc, vitamin K, magnesium, and selenium. Prospective cohort studies should be conducted to establish a causal relationship between FBS and INQ.
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Affiliation(s)
- Farkhondeh Alami
- Department of Nutrition, Faculty of Medicine, Urmia University of Medical Sciences, Urmia, Iran
| | - Golsa Khalatbari Mohseni
- Department of Nutrition, School of Allied Medical Sciences, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Mina Ahmadzadeh
- Department of Clinical Nutrition and Dietetics, Faculty of Nutrition and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farhad Vahid
- Department of Population Health, Public Health Research, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Maryam Gholamalizadeh
- Cancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad Masoumvand
- Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Soheila Shekari
- Department of Nutrition, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Atiyeh Alizadeh
- Department of Pharmacognosy, Faculty of Pharmacy, Tehran University of Medical Science, Tehran, Iran
| | - Hanieh Shafaei
- Urology Research Center, Razi Hospital, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran
| | - Saeid Doaei
- Department of Community Nutrition, Faculty of Nutrition and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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22
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Domínguez-López I, Arancibia-Riveros C, Casas R, Tresserra-Rimbau A, Razquin C, Martínez-González MÁ, Hu FB, Ros E, Fitó M, Estruch R, López-Sabater MC, Lamuela-Raventós RM. Changes in plasma total saturated fatty acids and palmitic acid are related to pro-inflammatory molecule IL-6 concentrations after nutritional intervention for one year. Biomed Pharmacother 2022; 150:113028. [PMID: 35483198 DOI: 10.1016/j.biopha.2022.113028] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 04/21/2022] [Accepted: 04/21/2022] [Indexed: 11/16/2022] Open
Abstract
Systemic inflammation is associated with an increased risk of non-communicable diseases, such as cardiovascular diseases and diabetes. Circulating fatty acids (FA) are known to be related to these conditions, possibly through their role in inflammation, although different types of FAs can have opposite effects on inflammatory mediators. The aim of the present study was to analyze the association of plasma FAs with inflammatory biomarkers in a PREDIMED trial subsample after one year of intervention. In a one-year longitudinal study of 91 participants of the PREDIMED trial (Barcelona-Clinic center), plasma FAs and inflammatory biomarkers were analyzed using gas chromatography and ELISA, respectively. In baseline plasma, a multivariable-adjusted ordinary least squares regression model showed that n-3 polyunsaturated FAs concentrations were inversely associated with concentrations of soluble intercellular adhesion molecule-1 (sICAM-1) and E-selectin, whereas the level of the most abundant saturated FA, palmitic acid, was directly associated with concentrations of interleukin-6 (IL-6) (β = 0.48 pg/mL, 95% CI: 0.03, 0.93 per 1-SD increase, p-value = 0.037). After one year of nutritional intervention, changes of plasma diet-derived total saturated FAs and palmitic acid were directly associated with changes in IL-6 (β = 0.59 pg/mL [95% CI: 0.28, 0.89] per 1-SD, p-value = 0.001; β = 0.64 pg/mL, 95% CI: 0.31, 0.98, p-value = 0.001), respectively, after correction for multiple testing. Our findings suggest that saturated FAs of dietary origin, especially palmitic acid, are directly involved in the increase of IL-6 in plasma.
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Affiliation(s)
- Inés Domínguez-López
- Department of Nutrition, Food Sciences and Gastronomy, XIA School of Pharmacy and Food Sciences, University of Barcelona, 08028 Barcelona, Spain; INSA-UB, Nutrition and Food Safety Research Institute, University of Barcelona, 08921 Santa Coloma de Gramanet, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain.
| | - Camila Arancibia-Riveros
- Department of Nutrition, Food Sciences and Gastronomy, XIA School of Pharmacy and Food Sciences, University of Barcelona, 08028 Barcelona, Spain; INSA-UB, Nutrition and Food Safety Research Institute, University of Barcelona, 08921 Santa Coloma de Gramanet, Spain.
| | - Rosa Casas
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain; Department of Internal Medicine, Hospital Clinic, Institut d'Investigació Biomèdica August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain.
| | - Anna Tresserra-Rimbau
- Department of Nutrition, Food Sciences and Gastronomy, XIA School of Pharmacy and Food Sciences, University of Barcelona, 08028 Barcelona, Spain; INSA-UB, Nutrition and Food Safety Research Institute, University of Barcelona, 08921 Santa Coloma de Gramanet, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain.
| | - Cristina Razquin
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain; Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, 31008 Pamplona, Spain.
| | - Miguel Á Martínez-González
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain; Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, 31008 Pamplona, Spain.
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
| | - Emilio Ros
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain; Department of Endocrinology, Hospital Clinic, IDIBAPS, Barcelona, Spain.
| | - Montserrat Fitó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas (IMIM), 08007 Barcelona, Spain.
| | - Ramon Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain; Department of Internal Medicine, Hospital Clinic, Institut d'Investigació Biomèdica August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain.
| | - M Carmen López-Sabater
- Department of Nutrition, Food Sciences and Gastronomy, XIA School of Pharmacy and Food Sciences, University of Barcelona, 08028 Barcelona, Spain; INSA-UB, Nutrition and Food Safety Research Institute, University of Barcelona, 08921 Santa Coloma de Gramanet, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain.
| | - Rosa M Lamuela-Raventós
- Department of Nutrition, Food Sciences and Gastronomy, XIA School of Pharmacy and Food Sciences, University of Barcelona, 08028 Barcelona, Spain; INSA-UB, Nutrition and Food Safety Research Institute, University of Barcelona, 08921 Santa Coloma de Gramanet, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain.
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23
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The effects of sesame, canola, and sesame-canola oils on cardiometabolic markers in patients with type 2 diabetes: a triple-blind three-way randomized crossover clinical trial. Eur J Nutr 2022; 61:3499-3516. [PMID: 35596008 DOI: 10.1007/s00394-022-02898-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Accepted: 04/22/2022] [Indexed: 11/04/2022]
Abstract
AIMS To compare the effects of replacing regular dietary oils intake with sesame (SO), canola (CO), and sesame-canola (SCO) oils (a novel blend), on cardiometabolic markers in adults with type 2 diabetes mellitus (T2DM), in a triple-blind, three-way, randomized, crossover clinical trial. METHODS Participants were assigned to receive SO, CO, and SCO in three 9-week phases (4 weeks apart). Cardiometabolic makers (serum lipids, Apolipoprotein, cardiovascular risk scores, kidney markers, and blood pressure) were considered at the beginning and the end of intervention phases. RESULTS Ninety-two, ninety-five, and ninety-five participants completed the SO, SCO, and CO periods, respectively. After CO consumption, serum Apo A-1 concentrations were significantly higher compared with the SCO period in the whole population (p < 0.05). A considerable reduction in visceral adiposity index values was seen in the CO compared with the SO period in males (p < 0.05). Serum high-density lipoprotein concentration was also significantly higher after the SO intake compared with SCO in females (p < 0.05). The between-period analysis showed a substantial reduction in diastolic blood pressure in the SCO period compared with the CO and SO periods and lower systolic blood pressure after SCO versus CO intake in males (p < 0.05). CONCLUSIONS Canola oil might protect CVD through improving Apo A-1 levels in patients with T2DM (particularly in females) and visceral adiposity index in male patients. However, the blend oil might beneficially affect blood pressure in men. Future sex-specific studies might warrant the current findings. REGISTRY OF CLINICAL TRIALS This trial was registered in the Iranian Registry of Clinical Trials (IRCT, registration ID: IRCT2016091312571N6).
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24
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Li P, Gao Y, Ma X, Zhou S, Guo Y, Xu J, Wang X, Van Halm-Lutterodt N, Yuan L. Study on the Association of Dietary Fatty Acid Intake and Serum Lipid Profiles With Cognition in Aged Subjects With Type 2 Diabetes Mellitus. Front Aging Neurosci 2022; 14:846132. [PMID: 35431907 PMCID: PMC9009143 DOI: 10.3389/fnagi.2022.846132] [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: 12/30/2021] [Accepted: 02/28/2022] [Indexed: 11/27/2022] Open
Abstract
Background The correlation between dietary fatty acid (FA) intake and serum lipid profile levels with cognition in the aged population has been reported by previous studies. However, the association of dietary FA intake and serum lipid profile levels with cognition in subjects with type 2 diabetes mellitus (T2DM) is seldom reported. Objective A cross-sectional study was conducted to explore the correlation between dietary FA intake and serum lipid profiles with cognition in the aged Chinese population with T2DM. Methods A total of 1,526 aged Chinese subjects were recruited from communities. Fasting blood samples were collected for parameter measurement. The food frequency questionnaire (FFQ) method was applied for a dietary survey. Cognition was assessed using the Montreal Cognitive Assessment (MoCA) test. Dietary FA intake and serum lipid levels were compared between subjects with T2DM and control subjects. A logistic regression analysis was carried out for analyzing the association of FA intake and serum lipid levels with the risk of mild cognitive impairment (MCI) in subjects with T2DM and control subjects. Results There was a significant difference in the serum lipid level between the T2DM group and the control group. Results of the logistic regression analysis demonstrated the potential associations of serum total cholesterol (TC), low-density lipoprotein cholesterol (LDL-c), and dietary n-3 polyunsaturated fatty acids (PUFAs) intake with the risk of MCI in subjects with T2DM, but the associations were not observed in control subjects. Conclusion The T2DM phenotype might affect the relationship between dietary FA intake, circulating lipids, and cognitive performance. Large prospective cohort studies are needed to uncover the underlying mechanism of how dietary FA intake and serum lipid levels affect cognition in aged subjects with T2DM.
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Affiliation(s)
- Pengfei Li
- School of Public Health, Capital Medical University, Beijing, China
| | - Yanyan Gao
- School of Public Health, Capital Medical University, Beijing, China
| | - Xiaojun Ma
- School of Public Health, Capital Medical University, Beijing, China
| | - Shaobo Zhou
- School of Life Sciences, Institute of Biomedical and Environmental Science and Technology, University of Bedfordshire, Luton, United Kingdom
| | - Yujie Guo
- School of Public Health, Capital Medical University, Beijing, China
| | - Jingjing Xu
- School of Public Health, Capital Medical University, Beijing, China
| | - Xixiang Wang
- School of Public Health, Capital Medical University, Beijing, China
| | | | - Linhong Yuan
- School of Public Health, Capital Medical University, Beijing, China
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25
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Hu M, Fang Z, Zhang T, Chen Y. Polyunsaturated fatty acid intake and incidence of type 2 diabetes in adults: a dose response meta-analysis of cohort studies. Diabetol Metab Syndr 2022; 14:34. [PMID: 35241134 PMCID: PMC8892771 DOI: 10.1186/s13098-022-00804-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 02/09/2022] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND To evaluate the association and dose-response relationship between polyunsaturated fatty acid (PUFA) intake and incidence of type 2 diabetes (T2D) in adults. METHODS PubMed, Embase, Cochrane Library, and Web of Science databases were searched for cohort studies that examined the association between PUFA and T2D incidence published up to September 6, 2021. Relative risk (RR) or hazard ratio (HR) was used as the effect indicator, each effect size was expressed by 95% confidence interval (CI). The presence of heterogeneity of effect size between studies was assessed by the Q-test and I2 statistics. If I2 ≥ 50%, the random-effects model was applied, otherwise the fixed effects model was used. Sensitivity analysis was performed for all models. Potential publication bias was assessed. We conducted linear and nonlinear dose-response meta-analyses, calculated summary relative risk (SRR). RESULTS Twenty-five articles were selected including 54,000 patients in this study. Our estimates observed no linear associations between total PUFA and the incidence of T2D. However, the summary dose-response curve of T2D risk increased in a nonlinear pattern with the consumption of omega-3 PUFA (Pnonlinearity < 0.001) and docosahexaenoic acid (DHA) (Pnonlinearity = 0.040). Our subgroup analysis showed that total PUFA intake was associated with increased incidence of T2D in Europe (RR: 1.040, 95% CI 1.009 to 1.072), and Australia (RR: 1.188, 95% CI 1.113 to 1.269). However, total PUFA intake was associated with decreased T2D incidence in Asia (RR: 0.897, 95% CI 0.860 to 0.936). Subgroup analysis based on PUFA types showed that DHA intake was associated with decreased T2D incidence (RR: 1.164, 95% CI 1.048 to 1.294) while linoleic acid (LA) decreased T2D incidence (RR: 0.956, 95% CI 0.930 to 0.983). Regarding the sex subgroup, women's intake of total PUFA would increase the risk of T2D (RR: 1.049, 95% CI 1.019 to 1.079) while total PUFA intake decreased the risk of T2D in men (RR: 0.955, 95% CI 0.913 to 0.999). CONCLUSION For specific PUFA, dose-response curves show nonlinear significant associations between PUFA intakes and T2D. It may be necessary to pay attention to the effects of PUFA and type of intake on T2D. Trial registration Not applicable.
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Affiliation(s)
- Mingyuan Hu
- School of Public Health, Wannan Medical College, No. 22, Wenchang West Road, Higher Education Park, Wuhu, 241000, People's Republic of China
| | - Zhengmei Fang
- School of Public Health, Wannan Medical College, No. 22, Wenchang West Road, Higher Education Park, Wuhu, 241000, People's Republic of China
| | - Tao Zhang
- School of Public Health, Wannan Medical College, No. 22, Wenchang West Road, Higher Education Park, Wuhu, 241000, People's Republic of China
| | - Yan Chen
- School of Public Health, Wannan Medical College, No. 22, Wenchang West Road, Higher Education Park, Wuhu, 241000, People's Republic of China.
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Effects of Diet, Lifestyle, Chrononutrition and Alternative Dietary Interventions on Postprandial Glycemia and Insulin Resistance. Nutrients 2022; 14:nu14040823. [PMID: 35215472 PMCID: PMC8878449 DOI: 10.3390/nu14040823] [Citation(s) in RCA: 37] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 01/18/2022] [Accepted: 01/18/2022] [Indexed: 02/08/2023] Open
Abstract
As years progress, we are found more often in a postprandial than a postabsorptive state. Chrononutrition is an integral part of metabolism, pancreatic function, and hormone secretion. Eating most calories and carbohydrates at lunch time and early afternoon, avoiding late evening dinner, and keeping consistent number of daily meals and relative times of eating occasions seem to play a pivotal role for postprandial glycemia and insulin sensitivity. Sequence of meals and nutrients also play a significant role, as foods of low density such as vegetables, salads, or soups consumed first, followed by protein and then by starchy foods lead to ameliorated glycemic and insulin responses. There are several dietary schemes available, such as intermittent fasting regimes, which may improve glycemic and insulin responses. Weight loss is important for the treatment of insulin resistance, and it can be achieved by many approaches, such as low-fat, low-carbohydrate, Mediterranean-style diets, etc. Lifestyle interventions with small weight loss (7–10%), 150 min of weekly moderate intensity exercise and behavioral therapy approach can be highly effective in preventing and treating type 2 diabetes. Similarly, decreasing carbohydrates in meals also improves significantly glycemic and insulin responses, but the extent of this reduction should be individualized, patient-centered, and monitored. Alternative foods or ingredients, such as vinegar, yogurt, whey protein, peanuts and tree nuts should also be considered in ameliorating postprandial hyperglycemia and insulin resistance. This review aims to describe the available evidence about the effects of diet, chrononutrition, alternative dietary interventions and exercise on postprandial glycemia and insulin resistance.
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Nestel PJ, Mori TA. Dairy Foods: Is Its Cardiovascular Risk Profile Changing? Curr Atheroscler Rep 2022; 24:33-40. [DOI: 10.1007/s11883-022-00984-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/19/2021] [Indexed: 11/03/2022]
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Brayner B, Kaur G, Keske MA, Perez-Cornago A, Piernas C, Livingstone KM. Dietary Patterns Characterized by Fat Type in Association with Obesity and Type 2 Diabetes: A Longitudinal Study of UK Biobank Participants. J Nutr 2021; 151:3570-3578. [PMID: 34522964 DOI: 10.1093/jn/nxab275] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Revised: 06/30/2021] [Accepted: 07/27/2021] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND The fat type consumed is considered a risk factor for developing obesity and type 2 diabetes (T2D). However, these associations have not been investigated using a dietary patterns approach, which can capture combinations of foods and fat type consumed. OBJECTIVES This study aimed to investigate associations between dietary patterns with varying proportions of SFAs, MUFAs, or PUFAs and obesity, abdominal obesity, and self-reported T2D incidence. METHODS This study included UK Biobank participants with 2 or more 24-h dietary assessments, free from the outcome of interest at recruitment, and with outcome data at follow-up (n = 16,523; mean follow-up: 6.3 y). Reduced rank regression was used to derive dietary patterns with SFAs, MUFAs, and PUFAs (% of energy intake) as response variables. Logistic regression, adjusted for sociodemographic and health characteristics, was used to investigate the associations between dietary patterns and obesity [BMI (kg/m2) ≥30], abdominal obesity (waist circumference; men: ≥102 cm; women: ≥88 cm) and T2D incidence. RESULTS Two dietary patterns, DP1 and DP2, were identified: DP1 positively correlated with SFAs (r = 0.48), MUFAs (r = 0.67), and PUFAs (r = 0.56), characterized by higher intake of nuts, seeds, and butter and lower intake of fruit and low-fat yogurt; DP2 positively correlated with SFAs (r = 0.76) and negatively with PUFAs (r = -0.64) and MUFAs (r = -0.01), characterized by higher intake of butter and high-fat cheese and lower intake of nuts and seeds. Only DP2 was associated with higher obesity and abdominal obesity incidence (OR: 1.24; 95% CI: 1.02, 1.45; and OR: 1.19; 95% CI: 1.02, 1.38, respectively). Neither of the dietary patterns was associated with T2D incidence. CONCLUSIONS These findings provide evidence that a dietary pattern characterized by higher SFA and lower PUFA foods is associated with obesity and abdominal obesity incidence, but not T2D.
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Affiliation(s)
- Barbara Brayner
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
| | - Gunveen Kaur
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
| | - Michelle A Keske
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Carmen Piernas
- Nuffield Department of Primary Care Health Sciences, Medical Sciences Division, University of Oxford, Oxford, United Kingdom
| | - Katherine M Livingstone
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
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Nicholl A, Deering KE, Evelegh K, Lyons-Wall P, Lawrence D, Mori TA, Kratz M, O'Sullivan TA. Whole-fat dairy products do not adversely affect adiposity or cardiometabolic risk factors in children in the Milky Way Study: a double-blind randomized controlled pilot study. Am J Clin Nutr 2021; 114:2025-2042. [PMID: 34633422 PMCID: PMC8634568 DOI: 10.1093/ajcn/nqab288] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 08/11/2021] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Limited evidence supports the common public health guideline that children >2 y of age should consume dairy with reduced fat content. OBJECTIVES We aimed to investigate the effects of whole-fat compared with reduced-fat dairy intake on measures of adiposity and biomarkers of cardiometabolic risk in healthy 4- to 6-y-old children. METHODS The Milky Way Study enrolled 49 children (mean ± SD age: 5.2 ± 0.9 y; 47% girls) who were habitual consumers of whole-fat dairy, then randomly assigned them in a double-blind fashion to remain on whole-fat dairy or switch their dairy consumption to reduced-fat products for 3 mo. Primary endpoints included measures of adiposity, body composition, blood pressure, fasting serum lipids, blood glucose, glycated hemoglobin (HbA1c), and C-reactive protein (CRP) and were assessed at baseline and study end. Pre- and postintervention results were compared using linear mixed models, adjusted for growth, age, and sex. RESULTS Dairy fat intake was reduced by an adjusted (mean ± SEM) 12.9 ± 4.1 g/d in the reduced-fat compared with the whole-fat dairy group (95% CI: -21.2, -4.6 g/d; P = 0.003), whereas dietary energy intakes remained similar (P = 0.936). We found no significant differential changes between dairy groups in any measure of adiposity, body composition, blood pressure, or fasting serum lipids, glucose, HbA1c, and CRP. CONCLUSIONS Our results suggest that although changing from whole-fat to reduced-fat dairy products does reduce dairy fat intake, it does not result in changes to markers of adiposity or cardiometabolic disease risk in healthy children.This trial was registered at www.anzctr.org.au as ACTRN12616001642471.
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Affiliation(s)
| | - Kane E Deering
- Institute for Nutrition Research, School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia
| | - Kate Evelegh
- Institute for Nutrition Research, School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia
| | - Philippa Lyons-Wall
- Institute for Nutrition Research, School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia
| | - David Lawrence
- Graduate School of Education, Faculty of Arts, Business, Law and Education, University of Western Australia, Perth, Western Australia, Australia
| | - Trevor A Mori
- Medical School, University of Western Australia, Perth, Western Australia, Australia
| | - Mario Kratz
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Therese A O'Sullivan
- Institute for Nutrition Research, School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia
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Villasanta-Gonzalez A, Alcala-Diaz JF, Vals-Delgado C, Arenas AP, Cardelo MP, Romero-Cabrera JL, Rodriguez-Cantalejo F, Delgado-Lista J, Malagon MM, Perez-Martinez P, Schulze MB, Camargo A, Lopez-Miranda J. A plasma fatty acid profile associated to type 2 diabetes development: from the CORDIOPREV study. Eur J Nutr 2021; 61:843-857. [PMID: 34609622 PMCID: PMC8854256 DOI: 10.1007/s00394-021-02676-z] [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: 12/24/2020] [Accepted: 06/24/2021] [Indexed: 11/25/2022]
Abstract
Purpose The prevalence of type 2 diabetes mellitus (T2DM) is increasing worldwide. For this reason, it is essential to identify biomarkers for the early detection of T2DM risk and/or for a better prognosis of T2DM. We aimed to identify a plasma fatty acid (FA) profile associated with T2DM development. Methods We included 462 coronary heart disease patients from the CORDIOPREV study without T2DM at baseline. Of these, 107 patients developed T2DM according to the American Diabetes Association (ADA) diagnosis criteria after a median follow-up of 60 months. We performed a random classification of patients in a training set, used to build a FA Score, and a Validation set, in which we tested the FA Score. Results FA selection with the highest prediction power was performed by random survival forest in the Training set, which yielded 4 out of the 24 FA: myristic, petroselinic, α-linolenic and arachidonic acids. We built a FA Score with the selected FA and observed that patients with a higher score presented a greater risk of T2DM development, with an HR of 3.15 (95% CI 2.04–3.37) in the Training set, and an HR of 2.14 (95% CI 1.50–2.84) in the Validation set, per standard deviation (SD) increase. Moreover, patients with a higher FA Score presented lower insulin sensitivity and higher hepatic insulin resistance (p < 0.05). Conclusion Our results suggest that a detrimental FA plasma profile precedes the development of T2DM in patients with coronary heart disease, and that this FA profile can, therefore, be used as a predictive biomarker. Clinical Trials.gov.Identifier NCT00924937. Supplementary Information The online version contains supplementary material available at 10.1007/s00394-021-02676-z.
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Affiliation(s)
- Alejandro Villasanta-Gonzalez
- Lipids and Atherosclerosis Unit, Internal Medicine Unit, Reina Sofia University Hospital, Av. Menendez Pidal, s/n., 14004, Córdoba, Spain.,Department of Medicine, University of Cordoba, Córdoba, Spain.,Instituto Maimonides de Investigación Biomedica de Cordoba (IMIBIC), Córdoba, Spain.,CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Juan Francisco Alcala-Diaz
- Lipids and Atherosclerosis Unit, Internal Medicine Unit, Reina Sofia University Hospital, Av. Menendez Pidal, s/n., 14004, Córdoba, Spain.,Department of Medicine, University of Cordoba, Córdoba, Spain.,Instituto Maimonides de Investigación Biomedica de Cordoba (IMIBIC), Córdoba, Spain.,CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Cristina Vals-Delgado
- Lipids and Atherosclerosis Unit, Internal Medicine Unit, Reina Sofia University Hospital, Av. Menendez Pidal, s/n., 14004, Córdoba, Spain.,Department of Medicine, University of Cordoba, Córdoba, Spain.,Instituto Maimonides de Investigación Biomedica de Cordoba (IMIBIC), Córdoba, Spain.,CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Antonio Pablo Arenas
- Lipids and Atherosclerosis Unit, Internal Medicine Unit, Reina Sofia University Hospital, Av. Menendez Pidal, s/n., 14004, Córdoba, Spain.,Department of Medicine, University of Cordoba, Córdoba, Spain.,Instituto Maimonides de Investigación Biomedica de Cordoba (IMIBIC), Córdoba, Spain.,CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Magdalena P Cardelo
- Lipids and Atherosclerosis Unit, Internal Medicine Unit, Reina Sofia University Hospital, Av. Menendez Pidal, s/n., 14004, Córdoba, Spain.,Department of Medicine, University of Cordoba, Córdoba, Spain.,Instituto Maimonides de Investigación Biomedica de Cordoba (IMIBIC), Córdoba, Spain.,CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Juan Luis Romero-Cabrera
- Lipids and Atherosclerosis Unit, Internal Medicine Unit, Reina Sofia University Hospital, Av. Menendez Pidal, s/n., 14004, Córdoba, Spain.,Department of Medicine, University of Cordoba, Córdoba, Spain.,Instituto Maimonides de Investigación Biomedica de Cordoba (IMIBIC), Córdoba, Spain.,CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | | | - Javier Delgado-Lista
- Lipids and Atherosclerosis Unit, Internal Medicine Unit, Reina Sofia University Hospital, Av. Menendez Pidal, s/n., 14004, Córdoba, Spain.,Department of Medicine, University of Cordoba, Córdoba, Spain.,Instituto Maimonides de Investigación Biomedica de Cordoba (IMIBIC), Córdoba, Spain.,CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Maria M Malagon
- Instituto Maimonides de Investigación Biomedica de Cordoba (IMIBIC), Córdoba, Spain.,CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Cell Biology, Physiology and Immunology, University of Cordoba, Córdoba, Spain
| | - Pablo Perez-Martinez
- Lipids and Atherosclerosis Unit, Internal Medicine Unit, Reina Sofia University Hospital, Av. Menendez Pidal, s/n., 14004, Córdoba, Spain.,Department of Medicine, University of Cordoba, Córdoba, Spain.,Instituto Maimonides de Investigación Biomedica de Cordoba (IMIBIC), Córdoba, Spain.,CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Matthias B Schulze
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany.,Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany.,Institute of Nutrition Science, University of Potsdam, Nuthetal, Germany
| | - Antonio Camargo
- Lipids and Atherosclerosis Unit, Internal Medicine Unit, Reina Sofia University Hospital, Av. Menendez Pidal, s/n., 14004, Córdoba, Spain. .,Department of Medicine, University of Cordoba, Córdoba, Spain. .,Instituto Maimonides de Investigación Biomedica de Cordoba (IMIBIC), Córdoba, Spain. .,CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
| | - Jose Lopez-Miranda
- Lipids and Atherosclerosis Unit, Internal Medicine Unit, Reina Sofia University Hospital, Av. Menendez Pidal, s/n., 14004, Córdoba, Spain. .,Department of Medicine, University of Cordoba, Córdoba, Spain. .,Instituto Maimonides de Investigación Biomedica de Cordoba (IMIBIC), Córdoba, Spain. .,CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
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Mousavi SM, Jalilpiran Y, Karimi E, Aune D, Larijani B, Mozaffarian D, Willett WC, Esmaillzadeh A. Dietary Intake of Linoleic Acid, Its Concentrations, and the Risk of Type 2 Diabetes: A Systematic Review and Dose-Response Meta-analysis of Prospective Cohort Studies. Diabetes Care 2021; 44:2173-2181. [PMID: 34417277 DOI: 10.2337/dc21-0438] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Accepted: 05/21/2021] [Indexed: 02/03/2023]
Abstract
BACKGROUND Earlier evidence on the association between dietary polyunsaturated fatty acids and risk of diabetes has been conflicting. PURPOSE To quantitatively summarize previous studies on the association between dietary LA intake, its biomarkers, and the risk of type 2 diabetes mellitus (T2DM) in the general population. DATA SOURCES Our data sources included PubMed/MEDLINE, Scopus, and ISI Web of Science until 24 October 2020; reference lists of all related articles; and key journals. STUDY SELECTION We included prospective cohort studies that examined the associations of linoleic acid (LA) with the risk of T2DM in adults. DATA SYNTHESIS The inverse variance method was applied to calculate summary relative risk (RR) of LA intake and its biomarkers, and dose-response associations were modeled using restricted cubic splines. Twenty-three publications, covering a total of 31 prospective cohorts, were included; these studies included 297,685 participants (22,639 incident diabetes cases) with dietary intake assessment and 84,171 participants (18,458 incident diabetes cases) with biomarker measurements. High intake of LA was associated with a 6% lower risk of T2DM (summary relative risk [RR] 0.94, 95% CI 0.90, 0.99; I 2 = 48.5%). In the dose-response analysis, each 5% increment in energy from LA intake was associated with a 10% lower risk of T2DM. There was also evidence of a linear association between LA intake and diabetes, with the lowest risk at highest intakes. The summary RR for diabetes per SD increment in LA concentrations in adipose tissue/blood compartments was 0.85 (95% CI 0.80, 0.90; I2 = 66.2%). The certainty of the evidence was assessed as moderate. LIMITATIONS A limitation of our work was the observational design of studies included in the analyses. CONCLUSIONS We found that a high intake of dietary LA and elevated concentrations of LA in the body were both significantly associated with a lower risk of T2DM. These findings support dietary recommendations to consume dietary LA.
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Affiliation(s)
- Seyed Mohammad Mousavi
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Yahya Jalilpiran
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Elmira Karimi
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Dagfinn Aune
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, U.K.,Department of Nutrition, Bjørknes University College, Oslo, Norway.,Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway.,Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Bagher Larijani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Dariush Mozaffarian
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA
| | - Walter C Willett
- Departments of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.,Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Ahmad Esmaillzadeh
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran .,Obesity and Eating Habits Research Center, Endocrinology and Metabolism Molecular Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.,Food Security Research Center, Department of Community Nutrition, Isfahan University of Medical Sciences, Isfahan, Iran
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Yang X, Li Y, Wang C, Mao Z, Chen Y, Ren P, Fan M, Cui S, Niu K, Gu R, Li L. Association of plant-based diet and type 2 diabetes mellitus in Chinese rural adults: The Henan Rural Cohort Study. J Diabetes Investig 2021; 12:1569-1576. [PMID: 33559976 PMCID: PMC8409831 DOI: 10.1111/jdi.13522] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 02/01/2021] [Accepted: 02/04/2021] [Indexed: 01/04/2023] Open
Abstract
AIMS/INTRODUCTION Studies have found that a plant-based diet was associated with a lower risk of type 2 diabetes, but evidence is scarce on such associations in China. The aim of this study was to investigate whether a plant-based diet is related to a lower risk of type 2 diabetes among Chinese adults. MATERIALS AND METHODS A total of 37,985 participants were enrolled from the Henan Rural Cohort Study. An overall plant-based diet index (PDI) was created by assigning positive and reverse scores to 12 commonly consumed food groups. Multivariate logistic regression models and restricted cubic spline analysis were performed to estimate the odds ratio (OR) and 95% confidence interval (95% CI). RESULTS After multivariable adjustment, the risk of type 2 diabetes was inversely associated with the PDI (extreme-quartile OR = 0.88, 95% CI: 0.79-0.98; P = 0.027), the risk associated with a 1 standard deviation (SD) increase in PDI was 4% lower (95% CI, 0.93-1.00; P trend = 0.043) for type 2 diabetes. Moreover, the odds of type 2 diabetes was decreased with an increment of PDI after fitting restricted cubic splines (P trend < 0.01). CONCLUSIONS Among Chinese populations, diets higher in plant foods and lower in animal foods were associated with a reduced risk of type 2 diabetes.
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Affiliation(s)
- Xiu Yang
- Department of Epidemiology and Health StatisticsCollege of Public HealthZhengzhou UniversityZhengzhouChina
| | - Yuqian Li
- Department of Clinical PharmacologySchool of Pharmaceutical ScienceZhengzhou UniversityZhengzhouChina
| | - Chongjian Wang
- Department of Epidemiology and Health StatisticsCollege of Public HealthZhengzhou UniversityZhengzhouChina
| | - Zhenxing Mao
- Department of Epidemiology and Health StatisticsCollege of Public HealthZhengzhou UniversityZhengzhouChina
| | - Yu Chen
- Elderly TB DivisionSixth People’s Hospital of ZhengzhouZhengzhouChina
| | - Pengfei Ren
- Elderly TB DivisionSixth People’s Hospital of ZhengzhouZhengzhouChina
| | - Mengying Fan
- Department of Epidemiology and Health StatisticsCollege of Public HealthZhengzhou UniversityZhengzhouChina
| | - Songyang Cui
- Department of Epidemiology and Health StatisticsCollege of Public HealthZhengzhou UniversityZhengzhouChina
| | - Kailin Niu
- Department of Epidemiology and Health StatisticsCollege of Public HealthZhengzhou UniversityZhengzhouChina
| | - Ruohua Gu
- Department of Epidemiology and Health StatisticsCollege of Public HealthZhengzhou UniversityZhengzhouChina
| | - Linlin Li
- Department of Epidemiology and Health StatisticsCollege of Public HealthZhengzhou UniversityZhengzhouChina
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Domínguez-López I, Marhuenda-Muñoz M, Tresserra-Rimbau A, Hernáez Á, Moreno JJ, Martínez-González MÁ, Salas-Salvadó J, Corella D, Fitó M, Martínez JA, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, López-Miranda J, Bernal-Lopez MR, Lapetra J, Serra-Majem JL, Bueno-Cavanillas A, Tur JA, Martín-Sánchez V, Pintó X, Delgado-Rodríguez M, Matía-Martín P, Vidal J, Vázquez C, Daimiel L, Serra-Mir M, Vázquez-Ruiz Z, Nishi SK, Sorli JV, Castañer O, Abete I, Luna JV, Carabaño-Moral R, Asencio A, Prohens L, Garcia-Rios A, Casas R, Gomez-Perez AM, Santos-Lozano JM, Razquin C, Martínez MÁ, Saiz C, Robledo-Pastor V, Zulet MA, Salaverria I, Eguaras S, Babio N, Malcampo M, Ros E, Estruch R, López-Sabater MC, Lamuela-Raventós RM. Fruit and Vegetable Consumption is Inversely Associated with Plasma Saturated Fatty Acids at Baseline in Predimed Plus Trial. Mol Nutr Food Res 2021; 65:e2100363. [PMID: 34273124 DOI: 10.1002/mnfr.202100363] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Revised: 05/31/2021] [Indexed: 12/27/2022]
Abstract
SCOPE Plasma fatty acids (FAs) are associated with the development of cardiovascular diseases and metabolic syndrome. The aim of our study is to assess the relationship between fruit and vegetable (F&V) consumption and plasma FAs and their subtypes. METHODS AND RESULTS Plasma FAs are assessed in a cross-sectional analysis of a subsample of 240 subjects from the PREDIMED-Plus study. Participants are categorized into four groups of fruit, vegetable, and fat intake according to the food frequency questionnaire. Plasma FA analysis is performed using gas chromatography. Associations between FAs and F&V consumption are adjusted for age, sex, physical activity, body mass index (BMI), total energy intake, and alcohol consumption. Plasma saturated FAs are lower in groups with high F&V consumption (-1.20 mg cL-1 [95% CI: [-2.22, -0.18], p-value = 0.021), especially when fat intake is high (-1.74 mg cL-1 [95% CI: [-3.41, -0.06], p-value = 0.042). Total FAs and n-6 polyunsaturated FAs tend to be lower in high consumers of F&V only in the high-fat intake groups. CONCLUSIONS F&V consumption is associated with lower plasma saturated FAs when fat intake is high. These findings suggest that F&V consumption may have different associations with plasma FAs depending on their subtype and on the extent of fat intake.
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Affiliation(s)
- Inés Domínguez-López
- Department of Nutrition, Food Science and Gastronomy, School of Pharmacy and Food Sciences and XIA, Institute of Nutrition and Food Safety (INSA-UB), University of Barcelona, Santa Coloma de Gramenet, 08921, Spain
| | - María Marhuenda-Muñoz
- Department of Nutrition, Food Science and Gastronomy, School of Pharmacy and Food Sciences and XIA, Institute of Nutrition and Food Safety (INSA-UB), University of Barcelona, Santa Coloma de Gramenet, 08921, Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Anna Tresserra-Rimbau
- Department of Nutrition, Food Science and Gastronomy, School of Pharmacy and Food Sciences and XIA, Institute of Nutrition and Food Safety (INSA-UB), University of Barcelona, Santa Coloma de Gramenet, 08921, Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Álvaro Hernáez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway.,Blanquerna School of Health Sciences, Universitat Ramon Llull, Barcelona, Spain
| | - Juan José Moreno
- Department of Nutrition, Food Science and Gastronomy, School of Pharmacy and Food Sciences and XIA, Institute of Nutrition and Food Safety (INSA-UB), University of Barcelona, Santa Coloma de Gramenet, 08921, Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Miguel Ángel Martínez-González
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain.,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Universitat Rovira i Virgili, Reus, Spain.,Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain.,Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Dolores Corella
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Montserrat Fitó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d`Investigació Médica (IMIM), Barcelona, Spain
| | - José Alfredo Martínez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain.,Nutritional Control of the Epigenome Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Ángel M Alonso-Gómez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Cardiovascular, Respiratory and Metabolic Area, Bioaraba Health Research Institute, Vitoria-Gasteiz, Spain.,Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Nursing, Institute of Biomedical Research in Malaga (IBIMA), University of Málaga, Málaga, Spain
| | - Jesús Vioque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.,Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL-UMH), Alicante, Spain
| | - Dora Romaguera
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - José López-Miranda
- Centro de Investigación Biomédica en Red 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
| | - M Rosa Bernal-Lopez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Internal Medicine, Instituto de Investigación Biomédica de Malaga (IBIMA), Regional University Hospital of Malaga
| | - José Lapetra
- Centro de Investigación Biomédica en Red 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
| | - J Luís Serra-Majem
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Research Institute of Biomedical and Health Sciences (IUIBS), Canarian Health Service, Las Palmas de Gran Canaria, University of Las Palmas de Gran Canaria & Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Spain
| | - Aurora Bueno-Cavanillas
- Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL-UMH), Alicante, Spain.,Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Josep A Tur
- Centro de Investigación Biomédica en Red 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-IUNICS, and IDISBA, Palma de Mallorca, Spain
| | - Vicente Martín-Sánchez
- Nutritional Control of the Epigenome Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain.,Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - Xavier Pintó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Lipids and Vascular Risk Unit, Internal Medicine, Hospitalet de Llobregat, Hospital Universitario de Bellvitge, Barcelona, Spain
| | - Miguel Delgado-Rodríguez
- Nutritional Control of the Epigenome Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain.,Division of Preventive Medicine, Faculty of Medicine, University of Jaén, Jaén, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.,Department of Endocrinology, Institut d'Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Clotilde Vázquez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Endocrinology and Nutrition, Hospital Fundación Jimenez Díaz, Instituto de Investigaciones Biomédicas IISFJD, University Autonoma, Madrid, Spain
| | - Lidia Daimiel
- Nutritional Control of the Epigenome Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Mercè Serra-Mir
- Lipid Clinic, Endocrinology and Nutrition Service, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Zenaida Vázquez-Ruiz
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain
| | - Stephanie K Nishi
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Universitat Rovira i Virgili, Reus, Spain.,Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain.,Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Jose V Sorli
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Olga Castañer
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d`Investigació Médica (IMIM), Barcelona, Spain
| | - Itziar Abete
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain.,Nutritional Control of the Epigenome Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Jessica Vaquero Luna
- Cardiovascular, Respiratory and Metabolic Area, Bioaraba Health Research Institute, Vitoria-Gasteiz, Spain.,Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Rosa Carabaño-Moral
- Distrito de Atención Primaria Costa del Sol, Servicio Andaluz de Salud, Unidad de Gestión Clínica Arroyo de la Miel, Benalmádena, Spain
| | - Alberto Asencio
- Centro Atención Primaria de Mutxamel de FISABIO, Alicante, Spain
| | - Lara Prohens
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Antonio Garcia-Rios
- Centro de Investigación Biomédica en Red 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
| | - Rosa Casas
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Internal Medicine Department, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Ana Maria Gomez-Perez
- Department of Internal Medicine, Instituto de Investigación Biomédica de Malaga (IBIMA), Regional University Hospital of Malaga
| | - José Manuel Santos-Lozano
- Centro de Investigación Biomédica en Red 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
| | - Cristina Razquin
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain
| | - María Ángeles Martínez
- Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Universitat Rovira i Virgili, Reus, Spain.,Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain.,Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Carmen Saiz
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Vanesa Robledo-Pastor
- Atenció Primària Barcelona Ciutat, Institut Català de la Salut (ICS), Barcelona, Spain
| | - María Angeles Zulet
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain.,Nutritional Control of the Epigenome Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Itziar Salaverria
- Cardiovascular, Respiratory and Metabolic Area, Bioaraba Health Research Institute, Vitoria-Gasteiz, Spain
| | - Sonia Eguaras
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain.,Primary Care Services, Servicio Navarro de Salud (Osasunbidea), Pamplona, Spain
| | - Nancy Babio
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Universitat Rovira i Virgili, Reus, Spain.,Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain.,Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Mireia Malcampo
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d`Investigació Médica (IMIM), Barcelona, Spain
| | - Emilio Ros
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Lipid Clinic, Endocrinology and Nutrition Service, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Ramon Estruch
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Internal Medicine Department, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - M Carmen López-Sabater
- Department of Nutrition, Food Science and Gastronomy, School of Pharmacy and Food Sciences and XIA, Institute of Nutrition and Food Safety (INSA-UB), University of Barcelona, Santa Coloma de Gramenet, 08921, Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Rosa M Lamuela-Raventós
- Department of Nutrition, Food Science and Gastronomy, School of Pharmacy and Food Sciences and XIA, Institute of Nutrition and Food Safety (INSA-UB), University of Barcelona, Santa Coloma de Gramenet, 08921, Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
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Tang N, Wu Y, Chen Y, Chen Q, Wu W, Jing J, Cai L. Association between postpartum low-carbohydrate-diet scores and glucose levels in Chinese women. Nutrition 2021; 89:111305. [PMID: 34166894 DOI: 10.1016/j.nut.2021.111305] [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: 12/14/2020] [Revised: 03/22/2021] [Accepted: 04/21/2021] [Indexed: 11/17/2022]
Abstract
OBJECTIVES Views on the relationship between a low-carbohydrate diet (LCD) and glucose levels are controversial, and no study, to our knowledge, has examined this association in postpartum women. We aimed to explore the association between postpartum LCD scores and glucose levels. METHODS We included 500 postpartum women from a prospective cohort study in Guangzhou, China, during 2017 and 2018. Dietary information during the first month after delivery was assessed via a validated food frequency questionnaire. The overall, animal, and plant LCD scores were determined based on percentages of energy from carbohydrate, protein, and fat. Higher scores reflected higher intakes of fat and protein and lower intakes of carbohydrate. At 6 to 8 wk postpartum, women with previous gestational diabetes mellitus underwent oral glucose tolerance tests (n = 104), and the others had fasting plasma glucose (FPG) tests (n = 396). Multivariable linear, quantile, and logistic regressions were conducted. RESULTS Of the 500 participants, 71 (14.20%) developed impaired fasting glucose. Animal LCD score was positively associated with FPG levels (β = 0.007, P = 0.017), but quantile regression showed that LCD scores were related to FPG only in women with lower FPG levels; they had no significant association in those with higher FPG levels. No significant interaction effect on FPG was found between LCD scores and history of gestational diabetes mellitus (Pinteraction > 0.40). Furthermore, the relationships between the three LCD scores and risk of developing impaired fasting glucose were not statistically significant. CONCLUSIONS Animal LCD score during puerperium may be positively associated with FPG levels in the early postpartum period in Chinese women, but no interactions with history of gestational diabetes mellitus were observed. Stronger associations were observed in women with lower FPG levels.
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Affiliation(s)
- Nu Tang
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yang Wu
- Department of Sociology, Jiangxi University of Finance and Economics, Nanchang, China; Center for Asian & Pacific Economic & Social Development, Jiangxi University of Finance and Economics, Nanchang, China
| | - Yajun Chen
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Qian Chen
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Weijia Wu
- Department of Scientific Research, Hainan Women and Children's Medical Center, Haikou, China
| | - Jin Jing
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Li Cai
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou, China.
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35
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Llavero-Valero M, Escalada-San Martín J, Martínez-González MA, Basterra-Gortari FJ, de la Fuente-Arrillaga C, Bes-Rastrollo M. Ultra-processed foods and type-2 diabetes risk in the SUN project: A prospective cohort study. Clin Nutr 2021; 40:2817-2824. [PMID: 33933748 DOI: 10.1016/j.clnu.2021.03.039] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2020] [Revised: 03/14/2021] [Accepted: 03/30/2021] [Indexed: 12/18/2022]
Abstract
BACKGROUND & AIM The association between ultra-processed foods (UPF) consumption and the risk of type 2 diabetes (T2D) has not been much explored. We aimed to evaluate the association between consumption of UPF and the incidence of T2D. METHODS We assessed 20,060 participants (61.5% women) from the SUN project (Seguimiento Universidad de Navarra) followed-up every two years (median follow-up 12 years). Food and drink consumption were evaluated through a validated 136-item food frequency questionnaire and grouped according to their degree of processing by the NOVA classification. Participants were categorized into tertiles of UPF consumption adjusted for total energy intake. We fitted Cox proportional hazard models with repeated dietary measurements at baseline and updating information on food consumption after 10 years of follow-up to minimise the potential effect of diet variation. RESULTS During 215,149 person-years of follow-up, 175 new-onset T2D cases were confirmed. Participants in the highest baseline tertile (high consumption) of UPF consumption had a higher risk of T2D as compared to those in the lowest tertile (multivariable adjusted hazard ratio [HR] 1.53, 95% confidence interval [CI]: 1.06 to 2.22) with a significant dose-response relationship (p for linear trend = 0.024). The multivariable adjusted HR using repeated measurements of UPF intake was 1.65 (95% CI 1.14-2.38) when comparing extreme tertiles. CONCLUSIONS In a highly-educated Mediterranean cohort with a low absolute risk, a higher intake of UPF was independently associated with a higher risk for T2D. These results provide more evidence to encourage the limitation of UPF consumption to reduce the population burden of T2D.
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Affiliation(s)
- María Llavero-Valero
- University of Navarra, Department of Preventive Medicine and Public Health, Pamplona, Spain; University of Navarra, Department of Endocrinology and Nutrition, Pamplona, Spain
| | - Javier Escalada-San Martín
- University of Navarra, Department of Endocrinology and Nutrition, Pamplona, Spain; Biomedical Research Networking Center for Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; IDISNA, Healthcare Research Institute of Navarra, Pamplona, Spain
| | - Miguel A Martínez-González
- University of Navarra, Department of Preventive Medicine and Public Health, Pamplona, Spain; Biomedical Research Networking Center for Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; IDISNA, Healthcare Research Institute of Navarra, Pamplona, Spain; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, USA
| | - Francisco Javier Basterra-Gortari
- University of Navarra, Department of Preventive Medicine and Public Health, Pamplona, Spain; IDISNA, Healthcare Research Institute of Navarra, Pamplona, Spain; Department of Endocrinology and Nutrition, Complejo Hospitalario de Navarra, Pamplona, Spain
| | - Carmen de la Fuente-Arrillaga
- University of Navarra, Department of Preventive Medicine and Public Health, Pamplona, Spain; Biomedical Research Networking Center for Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; IDISNA, Healthcare Research Institute of Navarra, Pamplona, Spain
| | - Maira Bes-Rastrollo
- University of Navarra, Department of Preventive Medicine and Public Health, Pamplona, Spain; Biomedical Research Networking Center for Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; IDISNA, Healthcare Research Institute of Navarra, Pamplona, Spain.
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36
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Plasma Free Fatty Acids and Metabolic Effect in Type 2 Diabetes, an Ancillary Study from a Randomized Clinical Trial. Nutrients 2021; 13:nu13041145. [PMID: 33807135 PMCID: PMC8065525 DOI: 10.3390/nu13041145] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Revised: 03/25/2021] [Accepted: 03/27/2021] [Indexed: 01/17/2023] Open
Abstract
Most nutrition studies looking at the association of food with cardiometabolic markers rely on food frequency questionnaires, which are prone to recall bias. Pentadecanoic acid, heptadecanoic acid and trans-palmitoleic acid are fatty acids that are not synthesized endogenously but are obtained from the diet, particularly dairy, making them reasonable biomarkers of dairy consumption. We investigated the association of dairy fatty acid biomarkers with glycated hemoglobin (HbA1c) and cardiovascular risk factors in type 2 diabetes (T2D). In a clinical trial, 111 participants with T2D (age 58.5 ± 8.9 years, HbA1c 8.09 ± 0.96%) were randomized into three groups: a control group that maintained baseline dairy intake, a low-fat (LF) group that incorporated ≥3 servings/day of LF dairy and a high-fat (HF) group that incorporated ≥3 servings/day of HF dairy. We compared the fatty acids (FA) composition between the three groups at 24 weeks. Pentadecanoic acid and trans-palmitoleic acid increased in the HF group by 14.1% ± 5.4% and 17.5% ± 5.1%, respectively, but not in the control and LF groups (p = 0.0474 and p = 0.0025 for group-by-time interaction, respectively). Those increases were positively associated with changes in total cholesterol, very-low-density lipoprotein cholesterol VLDL-C and triglycerides but were not associated with changes in HbA1c from baseline to 24 weeks. These results suggest that the intervention was successful and that participants were likely compliant, which supports the validity of the main trial.
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37
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DeMayo F, Molinsky R, Tahir MJ, Roy S, Genkinger JM, Papapanou PN, Jacobs DR, Demmer RT. Diet quality and periodontal disease: Results from the oral infections, glucose intolerance and insulin resistance study (ORIGINS). J Clin Periodontol 2021; 48:638-647. [PMID: 33710636 DOI: 10.1111/jcpe.13450] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 02/04/2021] [Accepted: 02/16/2021] [Indexed: 10/21/2022]
Abstract
AIMS This study examined the cross-sectional association between diet quality and periodontal disease. MATERIALS AND METHODS In the Oral Infections, Glucose Intolerance and Insulin Resistance Study (ORIGINS), 923 individuals completed the National Cancer Institute's validated Diet History Questionnaire 1, from which the Alternative Healthy Eating Index (AHEI) scores and A Priori Diet Quality Scores (APDQS) were calculated. Mean probing depth (MPD), mean clinical attachment loss (MAL) and % of sites bleeding on probing (%BOP) were derived from full-mouth periodontal exams. Multivariable adjusted linear and logistic regression models assessed the associations between diet quality and MPD, MAL, %BOP, and the odds of periodontitis (defined via the CDC/AAP classification). RESULTS Alternative Healthy Eating Index and APDQS were not associated with MPD, MAL, or periodontitis. While AHEI was also not associated with %BOP, the APDQS was associated with %BOP (p = .03). Higher nut consumption was related to lower MPD (p = .03) and periodontitis odds (p = .03). Higher red meat consumption was associated with higher MPD (p = .01) and %BOP (p = .05). Higher trans-fatty acid consumption was also associated with increased %BOP (p = .05). CONCLUSION Overall diet quality scores were not associated with periodontal status. Future studies are necessary to replicate the associations observed in this study to minimize the risk of false discovery.
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Affiliation(s)
- Francesco DeMayo
- School of Dental Medicine, University of Pennsylvania, Philadelphia, PA, USA.,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
| | - Rebecca Molinsky
- Division of Epidemiology and Community Health, School of Public, Health University of Minnesota, Minneapolis, MN, USA
| | - Muna J Tahir
- Division of Epidemiology and Community Health, School of Public, Health University of Minnesota, Minneapolis, MN, USA
| | - Sumith Roy
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Jeanine M Genkinger
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.,Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
| | - Panos N Papapanou
- Division of Periodontics, Section of Oral and Diagnostic Sciences, College of Dental Medicine, Columbia University, New York, NY, USA
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public, Health University of Minnesota, Minneapolis, MN, USA
| | - Ryan T Demmer
- Division of Epidemiology and Community Health, School of Public, Health University of Minnesota, Minneapolis, MN, USA.,Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
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Benito-Vicente A, Jebari-Benslaiman S, Galicia-Garcia U, Larrea-Sebal A, Uribe KB, Martin C. Molecular mechanisms of lipotoxicity-induced pancreatic β-cell dysfunction. INTERNATIONAL REVIEW OF CELL AND MOLECULAR BIOLOGY 2021; 359:357-402. [PMID: 33832653 DOI: 10.1016/bs.ircmb.2021.02.013] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Type 2 diabetes (T2D), a heterogeneous disorder derived from metabolic dysfunctions, leads to a glucose overflow in the circulation due to both defective insulin secretion and peripheral insulin resistance. One of the critical risk factor for T2D is obesity, which represents a global epidemic that has nearly tripled since 1975. Obesity is characterized by chronically elevated free fatty acid (FFA) levels, which cause deleterious effects on glucose homeostasis referred to as lipotoxicity. Here, we review the physiological FFA roles onto glucose-stimulated insulin secretion (GSIS) and the pathological ones affecting many steps of the mechanisms and modulation of GSIS. We also describe in vitro and in vivo experimental evidences addressing lipotoxicity in β-cells and the role of saturation and chain length of FFA on the potency of GSIS stimulation. The molecular mechanisms underpinning lipotoxic-β-cell dysfunction are also reviewed. Among them, endoplasmic reticulum stress, oxidative stress and mitochondrial dysfunction, inflammation, impaired autophagy and β-cell dedifferentiation. Finally therapeutic strategies for the β-cells dysfunctions such as the use of metformin, glucagon-like peptide 1, thiazolidinediones, anti-inflammatory drugs, chemical chaperones and weight are discussed.
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Affiliation(s)
- Asier Benito-Vicente
- Department of Molecular Biophysics, Biofisika Institute (University of Basque Country and Consejo Superior de Investigaciones Científicas (UPV/EHU, CSIC)), Leioa, Spain; Department of Biochemistry and Molecular Biology, University of the Basque Country (UPV/EHU), Leioa, Spain
| | - Shifa Jebari-Benslaiman
- Department of Molecular Biophysics, Biofisika Institute (University of Basque Country and Consejo Superior de Investigaciones Científicas (UPV/EHU, CSIC)), Leioa, Spain; Department of Biochemistry and Molecular Biology, University of the Basque Country (UPV/EHU), Leioa, Spain
| | - Unai Galicia-Garcia
- Department of Molecular Biophysics, Biofisika Institute (University of Basque Country and Consejo Superior de Investigaciones Científicas (UPV/EHU, CSIC)), Leioa, Spain; Department of Molecular Biophysics, Fundación Biofísica Bizkaia, Leioa, Spain
| | - Asier Larrea-Sebal
- Department of Molecular Biophysics, Biofisika Institute (University of Basque Country and Consejo Superior de Investigaciones Científicas (UPV/EHU, CSIC)), Leioa, Spain; Department of Molecular Biophysics, Fundación Biofísica Bizkaia, Leioa, Spain
| | - Kepa B Uribe
- Center for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), Donostia San Sebastián, Spain
| | - Cesar Martin
- Department of Molecular Biophysics, Biofisika Institute (University of Basque Country and Consejo Superior de Investigaciones Científicas (UPV/EHU, CSIC)), Leioa, Spain; Department of Biochemistry and Molecular Biology, University of the Basque Country (UPV/EHU), Leioa, Spain.
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Gudi SK. Dairy consumption and risk of type-2 diabetes: the untold story. Ann Pediatr Endocrinol Metab 2021; 26:14-18. [PMID: 32759631 PMCID: PMC8026335 DOI: 10.6065/apem.2040074.037] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2020] [Revised: 05/27/2020] [Accepted: 05/29/2020] [Indexed: 11/20/2022] Open
Abstract
The role of dairy products in human health has been extensively studied for decades; however, evidence regarding dairy consumption and risk of type 2 diabetes (T2D) remains controversial and uncertain. Furthermore, study results are misinterpreted to a remarkable extent. The aim of this review is to critically appraise the association between intake of dairy foods and risk of T2D. A thorough search was conducted using electronic databases of PubMed, Scopus, and Web of Science. Related studies that addressed this research question between 2004 to 2019 were considered. Although most of the existing evidence suggests a beneficial role of dairy consumption on risk of T2D, only low-fat dairy foods and yogurt have shown a significant and consistent role, while other dairy products showed no association with prevention of T2D. Researchers, readers, and the public should maintain caution when reporting and interpreting findings and consider aspects such as heterogeneity, generalizability, and clinical and statistical significance.
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Affiliation(s)
- Sai Krishna Gudi
- College of Pharmacy, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
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Yuan S, Ming-Wei L, Qi-Qiang H, Larsson SC. Egg, cholesterol and protein intake and incident type 2 diabetes mellitus: Results of repeated measurements from a prospective cohort study. Clin Nutr 2021; 40:4180-4186. [PMID: 33593662 DOI: 10.1016/j.clnu.2021.01.041] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2019] [Revised: 12/15/2020] [Accepted: 01/28/2021] [Indexed: 02/01/2023]
Abstract
BACKGROUND & AIMS Epidemiological evidence on the associations of egg, cholesterol and protein intake with risk of type 2 diabetes is inconsistent. Therefore, we conducted this study to explore these associations among Chinese adults. METHODS Data from 4 waves (2004, 2006, 2009 and 2011) of the China Health and Nutrition Survey were used. A multistage random-cluster sampling method was employed to recruit the participants in both rural and urban areas. We included individuals who participated in 2004 and any waves afterwards. Those 1) below 18 years of age; 2) with diabetes at baseline; or 3) with extreme energy intake (men: <800 kcal or >6000 kcal; women: <600 kcal or >4000 kcal) were excluded. Respondents were classified into four groups according to quartiles of egg, cholesterol and protein intake per day. Numbers of eggs per day were calculated by dividing egg intake in grams by 50 g. Diagnosis of type 2 diabetes was self-reported. Logistic generalized estimation equation models were employed. RESULTS There were 7312 individuals included in 2004, 6390 in 2006, 4826 in 2009 and 4963 in 2011. The mean age of participants at baseline was 48.3 years and 47.2% were men. Over an average of 5.8-y follow-up, 209 developed type 2 diabetes. After adjustment for demographic, lifestyle and dietary confounders, the odds ratio of type 2 diabetes for those in the highest compared with the lowest protein intake quartile was 2.38 (95% CI: 1.43, 3.98). The odds ratio of individuals with ≥3 eggs/day versus none was 3.76 (95% CI, 2.05, 6.90). Cholesterol intake was not associated with type 2 diabetes. CONCLUSIONS Individuals with the highest protein intake had over a 2-fold increased risk of type 2 diabetes compared with those with the lowest protein intake. A high intake of egg, but not dietary cholesterol, was associated with type 2 diabetes. This association warrants further investigation.
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Affiliation(s)
- Shuai Yuan
- School of Health Sciences, Wuhan University, Donghu Rd. 115, Wuhan City, Hubei Province, Wuhan, PR China; Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
| | - Liu Ming-Wei
- School of Health Sciences, Wuhan University, Donghu Rd. 115, Wuhan City, Hubei Province, Wuhan, PR China.
| | - He Qi-Qiang
- School of Health Sciences, Wuhan University, Donghu Rd. 115, Wuhan City, Hubei Province, Wuhan, PR China.
| | - Susanna C Larsson
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
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Freuer D, Meisinger C, Linseisen J. Causal relationship between dietary macronutrient composition and anthropometric measures: A bidirectional two-sample Mendelian randomization analysis. Clin Nutr 2021; 40:4120-4131. [PMID: 33610420 DOI: 10.1016/j.clnu.2021.01.047] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Revised: 01/26/2021] [Accepted: 01/30/2021] [Indexed: 10/22/2022]
Abstract
BACKGROUND The question whether the proportion of energy provided by fat and carbohydrates in the diet is associated with body mass index (BMI) and waist circumference (WC) is an important public health issue, but determining causality is difficult in epidemiological studies. OBJECTIVES Using a two-sample bidirectional Mendelian randomization (MR) in both a univariable and multivariable setting, we aimed to determine whether the relative proportion of different macronutrients in the diet (in % of total energy intake (E%)) is causally related to BMI and WC and vice versa. METHODS All analyses were based on genome-wide association studies including 268,922 Europeans with dietary data (SSGAC Consortium) and at least 232,101 with anthropometric measures (GIANT Consortium). An inverse-variance weighted approach using modified second-order weights within the radial regression framework was performed. Radial MR-Egger, weighted median and mode, Robust Adjusted Profile Score (RAPS), and Pleiotropy RESidual Sum and Outlier (PRESSO) methods were used in sensitivity analyses to verify MR assumptions. Additionally, multivariable MR was conducted to account for inter correlation between macronutrient intakes. All estimates represent the standard deviation (SD) change in each outcome per one SD change in the respective exposure. RESULTS We found that genetically predicted relative carbohydrate intake (E%) reduced BMI (β = -0.529; 95% CI: -0.745, -0.312; P-value = 2⋅10-6) and WC (β = -0.459; 95% CI: -0.656, -0.262; P-value = 5⋅10-6). Both effects were also supported by the multivariable approach: β = -0.441 (95% CI: -0.772, -0.109; P-value = 0.009) for BMI and β = -0.410 (95% CI: -0.667, -0.154; P-value = 0.002) for WC. Genetically predicted dietary intake of fat (E%) was weaker and positively related to both anthropometric measures. We obtained evidence that a higher BMI and WC increased the relative dietary intake of fat and protein (E%). For example, each SD higher BMI increased protein intake (E%) by 0.114 SD (95% CI: 0.081, 0.147; P-value = 9⋅10-12) and each SD higher WC increased protein intake (E%) by 0.078 SD (95% CI: 0.035, 0.121; P-value = 4⋅10-4). Sensitivity analyses confirmed these findings revealing consistent effect estimates. CONCLUSIONS Using genetic information to improve causal inference we found evidence, that a low relative carbohydrate proportion (E%) and a high proportion of fat (E%) in the diet is causally related to a higher BMI and a higher WC. Further research considering carbohydrate, fat, and protein quality and possible consequences on micronutrient intake is needed to define the implications for dietary intake recommendations.
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Affiliation(s)
- Dennis Freuer
- Chair of Epidemiology at UNIKA-T Augsburg, Ludwig-Maximilians-Universität München, 86156 Augsburg, Germany; Independent Research Group Clinical Epidemiology, Helmholtz Zentrum München, German Research Centre for Environmental Health, 85764, Neuherberg, Germany.
| | - Christa Meisinger
- Chair of Epidemiology at UNIKA-T Augsburg, Ludwig-Maximilians-Universität München, 86156 Augsburg, Germany; Independent Research Group Clinical Epidemiology, Helmholtz Zentrum München, German Research Centre for Environmental Health, 85764, Neuherberg, Germany
| | - Jakob Linseisen
- Chair of Epidemiology at UNIKA-T Augsburg, Ludwig-Maximilians-Universität München, 86156 Augsburg, Germany; Independent Research Group Clinical Epidemiology, Helmholtz Zentrum München, German Research Centre for Environmental Health, 85764, Neuherberg, Germany
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Neuenschwander M, Barbaresko J, Pischke CR, Iser N, Beckhaus J, Schwingshackl L, Schlesinger S. Intake of dietary fats and fatty acids and the incidence of type 2 diabetes: A systematic review and dose-response meta-analysis of prospective observational studies. PLoS Med 2020; 17:e1003347. [PMID: 33264277 PMCID: PMC7710077 DOI: 10.1371/journal.pmed.1003347] [Citation(s) in RCA: 62] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Accepted: 11/10/2020] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND The role of fat quantity and quality in type 2 diabetes (T2D) prevention is controversial. Thus, this systematic review and meta-analysis aimed to investigate the associations between intake of dietary fat and fatty acids and T2D, and to evaluate the certainty of evidence. METHODS AND FINDINGS We systematically searched PubMed and Web of Science through 28 October 2019 for prospective observational studies in adults on the associations between intake of dietary fat and fatty acids and T2D incidence. The systematic literature search and data extraction were conducted independently by 2 researchers. We conducted linear and nonlinear random effects dose-response meta-analyses, calculated summary relative risks (SRRs) with their corresponding 95% confidence intervals (95% CIs), and assessed the certainty of evidence. In total, 15,070 publications were identified in the literature search after the removal of duplicates. Out of the 180 articles screened in full text, 23 studies (19 cohorts) met our inclusion criteria, with 11 studies (6 cohorts) conducted in the US, 7 studies (7 cohorts) in Europe, 4 studies (5 cohorts) in Asia, and 1 study (1 cohort) in Australia. We mainly observed no or weak linear associations between dietary fats and fatty acids and T2D incidence. In nonlinear dose-response meta-analyses, the protective association for vegetable fat and T2D was steeper at lower levels up to 13 g/d (SRR [95% CI]: 0.81 [0.76; 0.88], pnonlinearity = 0.012, n = 5 studies) than at higher levels. Saturated fatty acids showed an apparent protective association above intakes around 17 g/d with T2D (SRR [95% CI]: 0.95 [0.90; 1.00], pnonlinearity = 0.028, n = 11). There was a nonsignificant association of a decrease in T2D incidence for polyunsaturated fatty acid intakes up to 5 g/d (SRR [95% CI]: 0.96 [0.91; 1.01], pnonlinearity = 0.023, n = 8), and for alpha-linolenic acid consumption up to 560 mg/d (SRR [95% CI]: 0.95 [0.90; 1.00], pnonlinearity = 0.014, n = 11), after which the curve rose slightly, remaining close to no association. The association for long-chain omega-3 fatty acids and T2D was approximately linear for intakes up to 270 mg/d (SRR [95% CI]: 1.10 [1.06; 1.15], pnonlinearity < 0.001, n = 16), with a flattening curve thereafter. Certainty of evidence was very low to moderate. Limitations of the study are the high unexplained inconsistency between studies, the measurement of intake of dietary fats and fatty acids via self-report on a food group level, which is likely to lead to measurement errors, and the possible influence of unmeasured confounders on the findings. CONCLUSIONS There was no association between total fat intake and the incidence of T2D. However, for specific fats and fatty acids, dose-response curves provided insights for significant associations with T2D. In particular, a high intake of vegetable fat was inversely associated with T2D incidence. Thus, a diet including vegetable fat rather than animal fat might be beneficial regarding T2D prevention.
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Affiliation(s)
- Manuela Neuenschwander
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
| | - Janett Barbaresko
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Claudia R. Pischke
- Institute of Medical Sociology, Centre for Health and Society, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Nadine Iser
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Julia Beckhaus
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Lukas Schwingshackl
- Institute for Evidence in Medicine, Faculty of Medicine, University Medical Center Freiburg, Freiburg, Germany
| | - Sabrina Schlesinger
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
- * E-mail:
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Petimar J, Moran AJ, Ramirez M, Block JP. A Natural Experiment to Evaluate the Nutritional Content of Restaurant Meal Purchases After Calorie Labeling. J Acad Nutr Diet 2020; 120:2039-2046. [PMID: 32868189 DOI: 10.1016/j.jand.2020.06.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 05/28/2020] [Accepted: 06/05/2020] [Indexed: 01/13/2023]
Abstract
BACKGROUND Calorie labeling is mandated in restaurant chains with ≥20 locations nationwide, but the effect of labeling on the nutritional quality of purchased meals in fast-food settings is unclear, especially for adolescents and children. OBJECTIVE To estimate the effect of calorie menu labeling on the nutrient content and composition of fast-food meal purchases in McDonald's restaurants vs control restaurants. DESIGN From 2010 to 2014, customers were sampled during repeated visits to McDonald's restaurants, which voluntarily labeled menus with calorie information in 2012, and 5 control fast-food restaurant chains that had not labeled their menus over the study period. PARTICIPANTS/SETTING Restaurant receipts and questionnaires were collected from 2883 adults, 2131 adolescents, and 433 children in 4 New England cities. MAIN OUTCOME MEASURES Saturated fat, sugar, sodium, and fiber content of purchased meals, as well as nutrient densities (ie, nutrient content adjusted for total calories), were calculated after linking purchases to nutrition data from restaurant websites. STATISTICAL ANALYSES Difference-in-differences analyses and linear mixed models were used to examine whether calorie labeling in McDonald's was associated with changes in nutrient content and nutrient density of purchased meals separately in adults, adolescents, and children. RESULTS After implementation of calorie labeling at McDonald's, adult meals contained on average 4.0% fewer calories from sugar (95% confidence interval: -7.5 to -0.5), but 1.8% more calories from saturated fat (95% confidence interval: 0.7 to 2.9) compared with control chains. The fiber content of children's purchased meals was lower at McDonald's after calorie labeling (change = -1.4 g, 95% confidence interval: -2.5 to -0.3). Calorie labeling was not associated with changes in nutrient quality of adolescent meals. CONCLUSIONS Calorie labeling at McDonald's was associated with a possibly small positive change in the nutritional quality of meals in adults but not in adolescents or children. Efforts are needed to improve the nutritional quality of restaurant meals.
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Kloss KA, Funnell MM, Piatt GA, Nwankwo R. One size does not fit all: Nutrition strategies for people with diabetes. Nursing 2020; 50:32-38. [PMID: 32639268 DOI: 10.1097/01.nurse.0000684176.14404.ff] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Several nutrition strategies and eating patterns can help support self-management among persons with diabetes. This article details the effectiveness of popular eating patterns and nutrition strategies, as well as the role of nurses in facilitating informed patient choices and decisions.
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Affiliation(s)
- Katherine A Kloss
- Katherine A. Kloss is a diabetes educator and community outreach coordinator; Robin Nwankwo is a research coordinator; Gretchen A. Piatt is an associate professor; and Martha M. Funnell is an emeritus research scientist at the University of Michigan in Ann Arbor, Mich. Ms. Funnell is also a member of the Nursing2020 Editorial Board
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The association between consumption of monounsaturated fats from animal- v. plant-based foods and the risk of type 2 diabetes: a prospective nationwide cohort study. Br J Nutr 2020; 124:102-111. [DOI: 10.1017/s0007114520000677] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
AbstractAlthough higher dietary intake of MUFA has been shown to improve glycaemic control and lipid profiles, whether MUFA consumption from different sources is linked to the development of type 2 diabetes (T2D) remains unclear. We aimed to prospectively assess the associations of plant-derived MUFA (P-MUFA) and animal-derived MUFA (A-MUFA) intakes with T2D risk in a nationwide oriental cohort. Overall, 15 022 Chinese adults, aged ≥20 years, from the China Health and Nutrition Survey (CHNS 1997–2011) were prospectively followed up for a median of 14 years. Consumption of MUFA from plant and animal sources was assessed using 3-d 24-h recalls in each survey, and the cumulative average of intake was calculated. Multivariable-adjusted Cox models were constructed to estimate the hazard ratios (HR) of T2D according to quartiles of MUFA intake. P-MUFA were mainly consumed from cooked vegetable oils, fried bread sticks and rice, while A-MUFA were mainly consumed from pork, lard and eggs. Intake of P-MUFA was associated with a higher risk of T2D (HRQ4 v. Q1 1·50 (95 % CI 1·18, 1·90); Ptrend = 0·0013), whereas A-MUFA showed no significant association (HRQ4 v. Q1 0·84 (95 % CI 0·59, 1·20); Ptrend = 0·30). When further considering the cooking method of food sources, consumption of P-MUFA from fried foods was positively associated with T2D risk (HRQ4 v. Q1 1·60 (95 % CI 1·26, 2·02); Ptrend = 0·0006), whereas non-fried P-MUFA were not associated. Intake of MUFA from fried plant-based foods may elevate T2D risk among the Chinese population.
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Araki E, Goto A, Kondo T, Noda M, Noto H, Origasa H, Osawa H, Taguchi A, Tanizawa Y, Tobe K, Yoshioka N. Japanese Clinical Practice Guideline for Diabetes 2019. Diabetol Int 2020; 11:165-223. [PMID: 32802702 PMCID: PMC7387396 DOI: 10.1007/s13340-020-00439-5] [Citation(s) in RCA: 226] [Impact Index Per Article: 56.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Indexed: 01/09/2023]
Affiliation(s)
- Eiichi Araki
- Department of Metabolic Medicine, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Atsushi Goto
- Department of Health Data Science, Graduate School of Data Science, Yokohama City University, Yokohama, Japan
| | - Tatsuya Kondo
- Department of Diabetes, Metabolism and Endocrinology, Kumamoto University Hospital, Kumamoto, Japan
| | - Mitsuhiko Noda
- Department of Diabetes, Metabolism and Endocrinology, Ichikawa Hospital, International University of Health and Welfare, Ichikawa, Japan
| | - Hiroshi Noto
- Division of Endocrinology and Metabolism, St. Luke’s International Hospital, Tokyo, Japan
| | - Hideki Origasa
- Department of Biostatistics and Clinical Epidemiology, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama, Japan
| | - Haruhiko Osawa
- Department of Diabetes and Molecular Genetics, Ehime University Graduate School of Medicine, Toon, Japan
| | - Akihiko Taguchi
- Department of Endocrinology, Metabolism, Hematological Science and Therapeutics, Graduate School of Medicine, Yamaguchi University, Ube, Japan
| | - Yukio Tanizawa
- Department of Endocrinology, Metabolism, Hematological Science and Therapeutics, Graduate School of Medicine, Yamaguchi University, Ube, Japan
| | - Kazuyuki Tobe
- First Department of Internal Medicine, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama, Japan
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Araki E, Goto A, Kondo T, Noda M, Noto H, Origasa H, Osawa H, Taguchi A, Tanizawa Y, Tobe K, Yoshioka N. Japanese Clinical Practice Guideline for Diabetes 2019. J Diabetes Investig 2020; 11:1020-1076. [PMID: 33021749 PMCID: PMC7378414 DOI: 10.1111/jdi.13306] [Citation(s) in RCA: 155] [Impact Index Per Article: 38.8] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Accepted: 05/24/2020] [Indexed: 01/09/2023] Open
Affiliation(s)
- Eiichi Araki
- Department of Metabolic MedicineFaculty of Life SciencesKumamoto UniversityKumamotoJapan
| | - Atsushi Goto
- Department of Health Data ScienceGraduate School of Data ScienceYokohama City UniversityYokohamaJapan
| | - Tatsuya Kondo
- Department of Diabetes, Metabolism and EndocrinologyKumamoto University HospitalKumamotoJapan
| | - Mitsuhiko Noda
- Department of Diabetes, Metabolism and EndocrinologyIchikawa HospitalInternational University of Health and WelfareIchikawaJapan
| | - Hiroshi Noto
- Division of Endocrinology and MetabolismSt. Luke's International HospitalTokyoJapan
| | - Hideki Origasa
- Department of Biostatistics and Clinical EpidemiologyGraduate School of Medicine and Pharmaceutical SciencesUniversity of ToyamaToyamaJapan
| | - Haruhiko Osawa
- Department of Diabetes and Molecular GeneticsEhime University Graduate School of MedicineToonJapan
| | - Akihiko Taguchi
- Department of Endocrinology, Metabolism, Hematological Science and TherapeuticsGraduate School of MedicineYamaguchi UniversityUbeJapan
| | - Yukio Tanizawa
- Department of Endocrinology, Metabolism, Hematological Science and TherapeuticsGraduate School of MedicineYamaguchi UniversityUbeJapan
| | - Kazuyuki Tobe
- First Department of Internal MedicineGraduate School of Medicine and Pharmaceutical SciencesUniversity of ToyamaToyamaJapan
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Stuber JM, Vissers LET, Verschuren WMM, Boer JMA, van der Schouw YT, Sluijs I. Substitution among milk and yogurt products and the risk of incident type 2 diabetes in the EPIC-NL cohort. J Hum Nutr Diet 2020; 34:54-63. [PMID: 32438495 PMCID: PMC7891431 DOI: 10.1111/jhn.12767] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Background Higher dairy consumption has been associated with lower type 2 diabetes (T2D) risk, whereas dairy product subtypes appear to differ in their T2D risk association. We investigated whether replacing one type of milk or yogurt product with another is associated with T2D incidence. Methods Participants of the European Prospective Investigation into Cancer and Nutrition‐Netherlands (EPIC‐NL) cohort (n = 35 982) were included in the present study. Information on milk and yogurt consumption at baseline was obtained by a validated food frequency questionnaire. T2D cases were identified by self‐report or linkage to the hospital discharge registry, and validated by consulting the general practitioner. Multivariable Cox proportional hazard models were used to estimate associations. Results During a mean of 15 years of follow‐up, 1467 indecent T2D cases were validated. Median total milk and yogurt intake was 1.5 servings (25th percentile to 75th percentile: 0.8–2.4). After adjustment for demographic and cardiovascular risk factors, replacement of one serving (200 g) of whole‐fat milk [hazard ratio (HR) = 0.93, 95% confidence interval (CI) = 0.60–1.44], buttermilk (HR = 0.88, 95% CI = 0.58‐1.34), skimmed milk (HR = 0.87, 95% CI = 0.57–1.32) or skimmed fermented milk (HR = 0.99, 95% CI = 0.63–1.54) with whole‐fat yogurt was not associated with T2D risk. Substitutions among other milk and yogurt products were also not associated with T2D risk. Sensitivity analysis investigating T2D risk halfway follow‐up suggested a lower risk for substitutions with whole‐fat yogurt. Conclusions No evidence was found for the association between substitutions among milk and yogurt products and the risk of incident T2D, although we cannot exclude possible attenuation of results as a result of dietary changes over time. This analysis should be repeated in a population with a wider consumption range of whole‐fat yogurt.
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Affiliation(s)
- J M Stuber
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.,Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, Amsterdam UMC, VU University, Amsterdam, The Netherlands
| | - L E T Vissers
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - W M M Verschuren
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.,National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - J M A Boer
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Y T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - I Sluijs
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
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Virtanen E, Kivelä J, Wikström K, Lambrinou CP, De Miguel-Etayo P, Huys N, Vraukó-Tóth K, Moreno LA, Usheva N, Chakarova N, Rado SA, Iotova V, Makrilakis K, Cardon G, Liatis S, Manios Y, Lindström J. Feel4Diabetes healthy diet score: development and evaluation of clinical validity. BMC Endocr Disord 2020; 20:46. [PMID: 32370805 PMCID: PMC7201941 DOI: 10.1186/s12902-020-0521-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Accepted: 03/05/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND The aim of this paper is to present the development of the Feel4Diabetes Healthy Diet Score and to evaluate its clinical validity. METHODS Study population consisted of 3268 adults (63% women) from high diabetes risk families living in 6 European countries. Participants filled in questionnaires at baseline and after 1 year, reflecting the dietary goals of the Feel4Diabetes intervention. Based on these questions the Healthy Diet Score was constructed, consisting of the following components: breakfast, vegetables, fruit and berries, sugary drinks, whole-grain cereals, nuts and seeds, low-fat dairy products, oils and fats, red meat, sweet snacks, salty snacks, and family meals. Maximum score for each component was set based on its estimated relative importance regarding T2DM risk, higher score indicating better quality of diet. Clinical measurements included height, weight, waist circumference, heart rate, blood pressure, and fasting blood sampling, with analyses of glucose, total cholesterol, HDL-cholesterol, LDL-cholesterol, and triglycerides. Analysis of (co) variance was used to compare the Healthy Diet Score and its components between countries and sexes using baseline data, and to test differences in clinical characteristics between score categories, adjusted for age, sex and country. Pearson's correlations were used to study the association between changes from baseline to year 1 in the Healthy Diet Score and clinical markers. To estimate reproducibility, Pearson's correlations were studied between baseline and 1 year score, within the control group only. RESULTS The mean total score was 52.8 ± 12.8 among women and 46.6 ± 12.8 among men (p < 0.001). The total score and its components differed between countries. The change in the Healthy Diet Score was significantly correlated with changes in BMI, waist circumference, and total and LDL cholesterol. The Healthy Diet Score as well as its components at baseline were significantly correlated with the values at year 1, in the control group participants. CONCLUSION The Feel4Diabetes Healthy Diet Score is a reproducible method to capture the dietary information collected with the Feel4Diabetes questionnaire and measure the level of and changes in the adherence to the dietary goals of the intervention. It gives a simple parameter that associates with clinical risk factors in a meaningful manner. TRIAL REGISTRATION Clinicaltrials.gov NCT02393872. Registered March 20, 2015.
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Affiliation(s)
- Eeva Virtanen
- Department of Public Health Solutions, National Institute for Health and Welfare, PO BOX 30, 00270 Helsinki, Finland
| | - Jemina Kivelä
- Department of Public Health Solutions, National Institute for Health and Welfare, PO BOX 30, 00270 Helsinki, Finland
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Katja Wikström
- Department of Public Health Solutions, National Institute for Health and Welfare, PO BOX 30, 00270 Helsinki, Finland
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | | | - Pilar De Miguel-Etayo
- Growth, Exercise, Nutrition and Development Research Group, University of Zaragoza, GENUD, Zaragoza, Spain
| | - Nele Huys
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
| | | | - Luis A. Moreno
- Growth, Exercise, Nutrition and Development Research Group, University of Zaragoza, GENUD, Zaragoza, Spain
| | - Natalya Usheva
- Department of Social Sciences and Public Health, Medical University of Varna, Varna, Bulgaria
| | - Nevena Chakarova
- Department of Diabetology, Clinical Center of Endocrinology, Medical University of Sofia, Sofia, Bulgaria
| | - Sándorné A. Rado
- Debreceni Egyetem (UoD), University of Debrecen, Debrecen, Hungary
| | - Violeta Iotova
- Department of Pediatrics, Clinic of Paediatric Endocrinology, Medical University Varna, Varna, Bulgaria
| | | | - Greet Cardon
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
| | - Stavros Liatis
- National and Kapodistrian University of Athens, Athens, Greece
| | - Yannis Manios
- Department of Nutrition and Dietetics, Harokopio University, Athens, Greece
| | - Jaana Lindström
- Department of Public Health Solutions, National Institute for Health and Welfare, PO BOX 30, 00270 Helsinki, Finland
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Shin YK, Hsieh YS, Han AY, Kwon S, Seol GH. Sex differences in cardio-metabolic and cognitive parameters in rats with high-fat diet-induced metabolic dysfunction. Exp Biol Med (Maywood) 2020; 245:977-982. [PMID: 32299227 DOI: 10.1177/1535370220920552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
IMPACT STATEMENT Excessive dietary fat intake plays important roles in the process of metabolic dysfunction and increases susceptibilities to chronic diseases such as hypertension. Few previous studies, however, have accurately reflected real-world medical conditions. In addition, studies performed to date have not examined detailed sex-differences in cardio-metabolic and cognitive parameters, precluding the development of sex-tailored interventions for patients with metabolic dysfunction who are susceptible to hypertension and cognitive impairment. In this study, using rats with HFD-induced metabolic dysfunction that made them susceptible to hypertension and cognitive impairment, we demonstrate that male rats show greater impairment of acetylcholine-induced vasorelaxation of the carotid artery and systolic blood pressure compared to female rats. These findings may provide a basis for the early detection of carotid artery dysfunction and systolic blood pressure increase, especially in males.
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Affiliation(s)
- You Kyoung Shin
- Department of Basic Nursing Science, School of Nursing, Korea University, Seoul 02841, Republic of Korea
| | - Yu Shan Hsieh
- Department of Basic Nursing Science, School of Nursing, Korea University, Seoul 02841, Republic of Korea
| | - A Young Han
- Department of Basic Nursing Science, School of Nursing, Korea University, Seoul 02841, Republic of Korea
| | - Soonho Kwon
- Department of Basic Nursing Science, School of Nursing, Korea University, Seoul 02841, Republic of Korea
| | - Geun Hee Seol
- Department of Basic Nursing Science, School of Nursing, Korea University, Seoul 02841, Republic of Korea
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