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Chen J, Sun Y, Dan L, Wellens J, Yuan S, Yang H, Tong TY, Cross AJ, Papadimitriou N, Meyer A, Dahm CC, Larsson SC, Wolk A, Ludvigsson JF, Tsilidis K, Giovannucci E, Satsangi J, Wang X, Theodoratou E, Chan SS, Li X. Composition of plant-based diets and the incidence and prognosis of inflammatory bowel disease: a multinational retrospective cohort study. THE LANCET REGIONAL HEALTH. EUROPE 2025; 52:101264. [PMID: 40166364 PMCID: PMC11957509 DOI: 10.1016/j.lanepe.2025.101264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/27/2024] [Revised: 02/26/2025] [Accepted: 02/27/2025] [Indexed: 04/02/2025]
Abstract
Background Many currently proposed diets for inflammatory bowel disease (IBD) focus on increasing plant-based foods, although a vegetarian diet can still contain products such as emulsifiers and refined grains that are believed to negatively impact IBD incidence and progression. To better inform dietary management in IBD, we investigated the association between plant-based diets and the incidence and complications of IBD. Methods We leveraged data from the UK Biobank (UKB, 2009-2022) including 187,888 participants free of IBD at baseline and the European Prospective Investigation into Cancer and Nutrition (EPIC, 1991-2010) cohort including 341,539 individuals free of IBD across centres among Denmark, France, Germany, Greece, Italy, the Netherlands, Sweden and UK. Healthy and unhealthy diets were characterised using plant-based diet indexes (PDIs); in individual participants, these were based on the 24-h dietary recalls for UKB and food frequency questionnaires for EPIC. The primary outcome was the incidence of IBD; secondary outcomes evaluated endpoints of disease prognosis (IBD-related surgery, diabetes, cardiovascular diease, and all-cause mortality). Cox regression was applied to estimate hazard ratios (HRs). Findings In the UKB (925 incident IBD, median follow-up 11.6 years, IQR 1.3 years), higher adherence to healthy PDI was associated with a lower IBD risk (HR 0.75, 95% CI 0.60-0.94), while higher alignment to an unhealthy PDI associated with an increased risk (HR 1.48, 95% CI 1.21-1.82) when comparing extreme quintiles of PDIs. Among individuals with established IBD, healthy PDI was inversely associated (HR 0.50, 95% CI 0.30-0.83) and unhealthy PDI was positively associated (HR 2.12, 95% CI 1.30-3.44) with need for IBD-related surgery. We did not observe significant associations between PDIs and risk of cardiovascular disease, diabetes mellitus or mortality. In the EPIC study (548 incident IBD, median follow-up 14.5 years, IQR 7.0 years), the HR of incident IBD for healthy PDI was 0.71 (95% CI 0.59-0.85) and for unhealthy PDI was 1.54 (95% CI 1.30-1.84). Interpretation We provide evidence that the composition of a plant-based diet may be an important determinant of the risk of developing IBD, and of disease course after diagnosis. Further research is needed to explore the mechanistic pathways linking plant-based diets and IBD incidence and prognosis. Funding National Natural Science Foundation of China, Natural Science Fund for Distinguished Young Scholars of Zhejiang Province, National Undergraduate Training Program for Innovation and Entrepreneurship, CRUK Career Development Fellowship, The "Co-PI" project, Natural Science Fund for Excellent Young Scholars of Hunan Province.
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Affiliation(s)
- Jie Chen
- Department of Gastroenterology, Third Xiangya Hospital, Central South University, Changsha, China
- Department of Big Data in Health Science School of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Yuhao Sun
- Department of Gastroenterology, Third Xiangya Hospital, Central South University, Changsha, China
- Department of Gastroenterology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Lintao Dan
- Department of Gastroenterology, Third Xiangya Hospital, Central South University, Changsha, China
- Department of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Judith Wellens
- Department of Gastroenterology and Hepatology, Leuven University Hostpital, Leuven, Belgium
- Translational Gastroenterology Unit, Experimental Medicine Division, Nuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford, UK
| | - Shuai Yuan
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Hong Yang
- Department of Gastroenterology, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Science, Beijing, China
| | - Tammy Y.N. Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, UK
| | - Amanda J. Cross
- School of Public Health and Department of Surgery and Cancer, Imperial College London, London, UK
| | - Nikos Papadimitriou
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Antoine Meyer
- INSERM, Centre for Research in Epidemiology and Population Health, Institut Gustave Roussy, Université Paris Saclay, Villejuif, France
- Department of Gastroenterology, University Hospital of Bicêtre, Assistance Publique-Hôpitaux de Paris, Université Paris-Saclay, Le Kremlin Bicêtre, France
| | - Christina C. Dahm
- Department of Public Health, Aarhus University, Bartholins Allé 2, 8000, Aarhus, Denmark
| | - Susanna C. Larsson
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Alicja Wolk
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Jonas F. Ludvigsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Pediatrics, Orebro University Hospital, Orebro, Sweden
| | - Kostas Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Edward Giovannucci
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jack Satsangi
- Translational Gastroenterology Unit, Experimental Medicine Division, Nuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford, UK
| | - Xiaoyan Wang
- Department of Gastroenterology, Third Xiangya Hospital, Central South University, Changsha, China
| | - Evropi Theodoratou
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Simon S.M. Chan
- Department of Gastroenterology, Norfolk and Norwich University Hospital NHS Trust, Norwich, UK
- Department of Medicine, Bob Champion Research and Education Building, Norwich Medical School, University of East Anglia, Norwich, UK
| | - Xue Li
- Department of Big Data in Health Science School of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
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Liu X, Li Y, Wang F, Ao Y, Zhuang P, Zhang Y, Jiao J. Plant-based diets and all-cause and cause-specific mortality among patients with cardiovascular disease: a population-based cohort study. Food Funct 2025; 16:1670-1682. [PMID: 39912254 DOI: 10.1039/d4fo05107f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2025]
Abstract
The role of plant-based diets in preventing premature death among patients with cardiovascular disease (CVD) has remained unknown. We aim to explore the association of plant-based dietary patterns with all-cause and cause-specific mortality among patients with CVD. A total of 10 824 participants with CVD at the baseline were followed up in the UK Biobank. We constructed three types of plant-based diet indexes [an overall plant-based diet index (PDI), a healthful PDI (hPDI), and an unhealthful PDI (uPDI)] by assigning different weights to various food groups from web-based 24 h dietary recall questionnaires. The national death registry documented the primary causes of death. The Cox proportional hazards regression models were utilized to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for mortality. Over a median of 9.5 years follow-up, 1273 death cases were ascertained. After multivariable adjustment, PDI had an inverse correlation with all-cause mortality [HRT3 vs. T1: 0.81 (0.70-0.94), Ptrend = 0.005] and marginal inverse association with CVD mortality [HRT3 vs. T1: 0.78 (0.61-0.99), Ptrend = 0.038], while uPDI displayed a positive correlation with all-cause mortality [HRT3 vs. T1: 1.33 (1.16-1.53), Ptrend < 0.001], CVD, and cancer mortality. Additionally, in mediation analyses, serum concentration of C-reactive protein (CRP) accounted for 6.2%, 4.0%, and 5.1% of the relationship between uPDI and all-cause, CVD, and cancer mortality, respectively. No significant associations were detected between hPDI and mortality. Our findings support dietary guidelines that recommend limiting the consumption of unhealthy plant-based foods.
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Affiliation(s)
- Xiaohui Liu
- Department of Endocrinology, The Second Affiliated Hospital, Department of Nutrition, School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, Zhejiang, China.
| | - Yin Li
- Department of Endocrinology, The Second Affiliated Hospital, Department of Nutrition, School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, Zhejiang, China.
| | - Fenglei Wang
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Yang Ao
- Department of Endocrinology, The Second Affiliated Hospital, Department of Nutrition, School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, Zhejiang, China.
| | - Pan Zhuang
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University, School of Medicine, Hangzhou 310003, Zhejiang, China
| | - Yu Zhang
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University, School of Medicine, Hangzhou 310003, Zhejiang, China
- Department of Food Science and Nutrition, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, Zhejiang, China
| | - Jingjing Jiao
- Department of Endocrinology, The Second Affiliated Hospital, Department of Nutrition, School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, Zhejiang, China.
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Li SY, Lu ZH, Leung J, Su Y, Yu B, Kwok T. Dietary patterns modify the association between body mass index and mortality in older adults. Clin Nutr 2025; 46:20-29. [PMID: 39862690 DOI: 10.1016/j.clnu.2025.01.016] [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: 09/17/2024] [Revised: 12/15/2024] [Accepted: 01/09/2025] [Indexed: 01/27/2025]
Abstract
BACKGROUND The potential modifying roles of dietary patterns in the association between body mass index (BMI) and mortality in older adults remain unclear. This study aimed to examine the stratified and combined associations of dietary patterns and BMI with all-cause, cancer and cardiovascular disease (CVD) mortality. METHODS This prospective cohort study included 3982 Chinese community-dwelling older adults between 2001 and 2003. A 280-item validated food frequency questionnaire was used to calculate five dietary indies: Diet Quality Index-International (DQI-I), Dietary Inflammatory Index (DII), Mediterranean Diet Score (MDS), Dietary Approaches to Stop Hypertension (DASH), and Mediterranean-DASH Intervention for Neurodegenerative Delay (MIND) diet. Higher DQI-I scores indicate better overall diet quality, while higher DII scores represent a pro-inflammatory diet. Higher MDS, DASH, and MIND scores indicate greater adherence to these healthy dietary patterns. Mortality data were obtained from official records. Hazard ratios (HRs) and 95 % confidence intervals (CIs) were estimated using Cox proportional hazards models. RESULTS Over a median follow-up of 16.8 years, there were 1879 all-cause deaths, 561 cancer deaths, and 386 CVD deaths. The J-shaped associations between BMI with all-cause and cancer mortality were weaker in healthier dietary patterns (DQI-I, MDS, DASH, MIND ≥median or DII CONCLUSIONS Higher diet quality attenuated the increased risks of all-cause and cancer mortality associated with underweight or obesity in older adults. Anti-inflammatory and antioxidative diets may protect against CVD mortality associated with obesity.
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Affiliation(s)
- Shu-Yi Li
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China.
| | - Zhi-Hui Lu
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China
| | - Jason Leung
- Jockey Club Centre for Osteoporosis Care and Control, The Chinese University of Hong Kong, Hong Kong, China
| | - Yi Su
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, China
| | - Blanche Yu
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China; Jockey Club Centre for Osteoporosis Care and Control, The Chinese University of Hong Kong, Hong Kong, China
| | - Timothy Kwok
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China; Jockey Club Centre for Osteoporosis Care and Control, The Chinese University of Hong Kong, Hong Kong, China.
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Fan Z, Yang C, Zhao C, Wu H, Wang H, Yang Y, Li Q, Yang J. Association Between Healthful Plant-Based Dietary Pattern and Obesity Trajectories and Future Cardiovascular Diseases in Middle-Aged and Elderly: A Prospective and Longitudinal Cohort Study. Mol Nutr Food Res 2025; 69:e202400833. [PMID: 39812006 DOI: 10.1002/mnfr.202400833] [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: 10/13/2024] [Revised: 12/12/2024] [Accepted: 01/03/2025] [Indexed: 01/16/2025]
Abstract
We aimed to explore the association between plant-based dietary (PBD) patterns and obesity trajectories in middle-aged and elderly, as well as obesity trajectories linked to cardiovascular disease (CVD) risk. A total of 7108 middle-aged and elderly UK Biobank participants with at least three physical measurements were included. Dietary information collected at enrolment was used to calculate the healthful plant-based diet index (hPDI). Group-based trajectory modeling identified two trajectories for each adiposity measure: BMI Low-Smooth and High-Growth-Decline; FMI Low-Smooth and High-Growth-Decline; WHR Low-Growth and High-Growth. Logistic regression showed that participants in the medium and high hPDI groups were less likely to follow the BMI High-Growth-Decline (OR = 0.72, 95% CI: 0.60-0.87; OR = 0.49, 95% CI: 0.39-0.61), FMI High-Growth-Decline (OR = 0.71, 95% CI: 0.60-0.84; OR = 0.55, 95% CI: 0.46-0.66), and WHR High-Growth (OR = 0.73, 95% CI: 0.61-0.87; OR = 0.52, 95% CI: 0.43-0.63) trajectories. After a median follow-up time of 3.88 years, Cox regression showed higher CVD risk for participants in these trajectories (HR = 1.70, 95% CI: 1.37-2.11; HR = 1.68, 95% CI: 1.37-2.06; HR = 1.30, 95% CI: 1.04-1.63). A healthy PBD pattern was associated with the maintenance of a healthy BMI classification. Furthermore, the long-term stabilization of a healthy BMI classification may be linked to a reduced risk of CVD.
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Affiliation(s)
- Zhixing Fan
- Department of Cardiology, the First College of Clinical Medical Sciences, China Three Gorges University, Yichang, China
- Institute of Cardiovascular Diseases, China Three Gorges University, Yichang, China
- Hu Bei Clinical Research Center for Ischemic Cardiovascular Disease, Yichang, China
- Department of Medical Record Management, the First College of Clinical Medical Sciences, China Three Gorges University, Yichang, China
| | - Chaojun Yang
- Department of Cardiology, the First College of Clinical Medical Sciences, China Three Gorges University, Yichang, China
- Institute of Cardiovascular Diseases, China Three Gorges University, Yichang, China
- Hu Bei Clinical Research Center for Ischemic Cardiovascular Disease, Yichang, China
| | - Chenyu Zhao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou, University, Zhengzhou, China
| | - Hui Wu
- Department of Cardiology, the First College of Clinical Medical Sciences, China Three Gorges University, Yichang, China
- Institute of Cardiovascular Diseases, China Three Gorges University, Yichang, China
- Hu Bei Clinical Research Center for Ischemic Cardiovascular Disease, Yichang, China
| | - Huibo Wang
- Department of Cardiology, the First College of Clinical Medical Sciences, China Three Gorges University, Yichang, China
- Institute of Cardiovascular Diseases, China Three Gorges University, Yichang, China
- Hu Bei Clinical Research Center for Ischemic Cardiovascular Disease, Yichang, China
| | - Ying Yang
- Department of Cardiology, the First College of Clinical Medical Sciences, China Three Gorges University, Yichang, China
- Institute of Cardiovascular Diseases, China Three Gorges University, Yichang, China
- Hu Bei Clinical Research Center for Ischemic Cardiovascular Disease, Yichang, China
| | - Qi Li
- Department of Cardiology, the First College of Clinical Medical Sciences, China Three Gorges University, Yichang, China
- Institute of Cardiovascular Diseases, China Three Gorges University, Yichang, China
- Hu Bei Clinical Research Center for Ischemic Cardiovascular Disease, Yichang, China
| | - Jian Yang
- Department of Cardiology, the First College of Clinical Medical Sciences, China Three Gorges University, Yichang, China
- Institute of Cardiovascular Diseases, China Three Gorges University, Yichang, China
- Hu Bei Clinical Research Center for Ischemic Cardiovascular Disease, Yichang, China
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Fernández-Fígares Jiménez MDC. A Whole Plant-Foods Diet in the Prevention and Treatment of Overweight and Obesity: From Empirical Evidence to Potential Mechanisms. JOURNAL OF THE AMERICAN NUTRITION ASSOCIATION 2025; 44:137-155. [PMID: 39401341 DOI: 10.1080/27697061.2024.2406887] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2024] [Revised: 09/14/2024] [Accepted: 09/17/2024] [Indexed: 01/24/2025]
Abstract
Excess body adiposity, referred to as overweight and obesity, represents a major health concern given that it increases the risk of various diseases, including cardiovascular diseases, type 2 diabetes, and cancer. Body weight reduction can be achieved via a wide variety of dietary strategies as long as an energy deficit is achieved. However, the effect of such diets on disease risk and mortality will depend on the foods included. Increasing evidence shows that consumption of whole plant foods (e.g., fruits, vegetables, whole grains, nuts, seeds, legumes) in place of animal foods (e.g., meat, poultry, dairy, fish, eggs, and seafood and their derivatives) and non-whole plant foods (e.g., refined grains, French fries, sugar-sweetened beverages) is associated with improvements in cardiometabolic risk factors and lower risk of chronic diseases and mortality. This review focuses on the effect of a whole plant-foods diet on overweight and obesity from observational to clinical studies and discusses the potential mechanisms involved. According to existing evidence, a whole plant foods diet seems to be more advantageous than other dietary approaches for the prevention and treatment of excess adiposity given that it is composed of the foods that lead to the best health outcomes.
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Mambrini SP, Penzavecchia C, Menichetti F, Foppiani A, Leone A, Pellizzari M, Sileo F, Battezzati A, Bertoli S, De Amicis R. Plant-based and sustainable diet: A systematic review of its impact on obesity. Obes Rev 2025:e13901. [PMID: 39888238 DOI: 10.1111/obr.13901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Revised: 11/20/2024] [Accepted: 12/04/2024] [Indexed: 02/01/2025]
Abstract
The food system significantly affects the environment through land use, emissions from livestock, deforestation, and food waste. Diet sustainability considers the environmental effects of food production, distribution, and consumption. Animal products emit more greenhouse gases than plant-based foods, prompting a shift towards plant-focused diets for reduced emissions. Sustainable diets, like the EAT-Lancet model, prioritize plant-based foods, adjusting for regional eating habits. These diets aim to be both environmentally friendly and conducive to human health, addressing concerns like obesity and chronic diseases. Obesity is a major global health challenge, and its complex relationship with food production and consumption patterns calls for sustainable solutions to reduce pressure on ecosystems and promote healthier lifestyles. Tackling obesity requires holistic strategies that address not only individual health but also the broader environmental impacts of food systems. A systematic review examined the link between plant-based diets and obesity focusing on studies assessing Body Mass Index (BMI) and body fat assessment. Despite limited research, evidence suggests that adherence to a plant-based diet, particularly a healthy one, is associated with lower obesity rates. More longitudinal and intervention studies are necessary for a stronger consensus on the matter.
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Affiliation(s)
- Sara P Mambrini
- IRCCS Istituto Auxologico Italiano, Obesity Unit and Laboratory of Nutrition and Obesity Research, Department of Endocrine and Metabolic Diseases, 20145 Milan, Italy
| | - Claudia Penzavecchia
- International Center for the Assessment of Nutritional Status and the Development of Dietary Intervention Strategies (ICANS-DIS), Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, 20133 Milan, Italy
| | - Francesca Menichetti
- International Center for the Assessment of Nutritional Status and the Development of Dietary Intervention Strategies (ICANS-DIS), Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, 20133 Milan, Italy
| | - Andrea Foppiani
- International Center for the Assessment of Nutritional Status and the Development of Dietary Intervention Strategies (ICANS-DIS), Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, 20133 Milan, Italy
- IRCCS Istituto Auxologico Italiano, Clinical Nutrition Unit, Department of Endocrine and Metabolic Medicine, 20100 Milan, Italy
| | - Alessandro Leone
- International Center for the Assessment of Nutritional Status and the Development of Dietary Intervention Strategies (ICANS-DIS), Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, 20133 Milan, Italy
- IRCCS Istituto Auxologico Italiano, Clinical Nutrition Unit, Department of Endocrine and Metabolic Medicine, 20100 Milan, Italy
| | - Marta Pellizzari
- IRCCS Istituto Auxologico Italiano, Obesity Unit and Laboratory of Nutrition and Obesity Research, Department of Endocrine and Metabolic Diseases, 20145 Milan, Italy
| | - Federica Sileo
- International Center for the Assessment of Nutritional Status and the Development of Dietary Intervention Strategies (ICANS-DIS), Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, 20133 Milan, Italy
- IRCCS Istituto Auxologico Italiano, Clinical Nutrition Unit, Department of Endocrine and Metabolic Medicine, 20100 Milan, Italy
| | - Alberto Battezzati
- International Center for the Assessment of Nutritional Status and the Development of Dietary Intervention Strategies (ICANS-DIS), Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, 20133 Milan, Italy
- IRCCS Istituto Auxologico Italiano, Clinical Nutrition Unit, Department of Endocrine and Metabolic Medicine, 20100 Milan, Italy
| | - Simona Bertoli
- IRCCS Istituto Auxologico Italiano, Obesity Unit and Laboratory of Nutrition and Obesity Research, Department of Endocrine and Metabolic Diseases, 20145 Milan, Italy
- International Center for the Assessment of Nutritional Status and the Development of Dietary Intervention Strategies (ICANS-DIS), Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, 20133 Milan, Italy
| | - Ramona De Amicis
- IRCCS Istituto Auxologico Italiano, Obesity Unit and Laboratory of Nutrition and Obesity Research, Department of Endocrine and Metabolic Diseases, 20145 Milan, Italy
- International Center for the Assessment of Nutritional Status and the Development of Dietary Intervention Strategies (ICANS-DIS), Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, 20133 Milan, Italy
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Zhu K, Li R, Yao P, Yu H, Pan A, Manson JE, Rimm EB, Willett WC, Liu G. Proteomic signatures of healthy dietary patterns are associated with lower risks of major chronic diseases and mortality. NATURE FOOD 2025; 6:47-57. [PMID: 39333296 DOI: 10.1038/s43016-024-01059-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 09/06/2024] [Indexed: 09/29/2024]
Abstract
Healthy dietary patterns have been linked to a decreased risk of chronic diseases. However, it remains uncertain whether proteomic signatures can reflect proteome response to healthy diet patterns, and whether these proteomic signatures are associated with health outcomes. Using data from the UK Biobank including Olink plasma proteins, we identified substantial proteomic variation in relation to adherence to eight healthy dietary patterns. The proteomic signatures, reflecting adherence and proteome response to healthy dietary patterns, were prospectively associated with lower risks of diabetes, cardiovascular diseases, chronic respiratory diseases, chronic kidney diseases and cancers, along with longer life expectancy, even after adjusting for corresponding dietary patterns. These findings suggest proteomic signatures have the potential to complement traditional dietary assessments and deepen our understanding of the relationships between dietary patterns and chronic diseases.
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Affiliation(s)
- Kai Zhu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Rui Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Pang Yao
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Hancheng Yu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - An Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - JoAnn E Manson
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Eric B Rimm
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Walter C Willett
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Gang Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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8
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Masip G, Nielsen DE. Relationships between the Planetary Health Diet Index, its food groups, and polygenic risk of obesity in the CARTaGENE cohort. Nutr Metab (Lond) 2024; 21:116. [PMID: 39741271 DOI: 10.1186/s12986-024-00890-0] [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: 03/19/2024] [Accepted: 12/18/2024] [Indexed: 01/02/2025] Open
Abstract
BACKGROUND The Planetary Health Diet, proposed by the EAT-Lancet Commission, seeks to promote a sustainable and healthy diet for both humans and the environment. However, few studies have investigated relationships between the Planetary Health Diet and the genetic pathway of obesity. The aim of this study was to assess whether adherence to a Planetary Health Diet Index (PHDI) mediated or moderated the genetic susceptibility to obesity. METHODS Participants were 7,037 adults (57% females, aged 55.6 ± 7.7) from the Quebec CARTaGENE Biobank. We constructed a primary polygenic risk score (PRS-Khera) for body mass index (BMI) comprised of ~ 2 million SNPs and utilized a secondary 97 SNPs polygenic risk score (PRS-Locke) for sensitivity analyses. The PHDI was based on 16 food groups. General linear models were conducted to assess main effect associations between the PRSs, the Planetary Health Diet Index (PHDI), and the individual food groups that comprise the PHDI on obesity outcomes. Causal mediation analyses (CMA) were used to evaluate mediation and interaction effects. All models were adjusted for age, sex, genetic ancestry, socio-demographic, and lifestyle variables, including those associated with dietary habits. RESULTS The overall PHDI was inversely associated with BMI (β = - 0.11, 95% confidence interval (CI): - 0.13, - 0.09), waist circumference (WC) (β = - 0.12, 95% CI: - 0.14, - 0.10), and body fat % (β = - 0.10, 95% CI: - 0.12, - 0.08) for all participants, but did not mediate or moderate obesity polygenic risk. Associations between the PRS-Khera and obesity outcomes in all participants were partly mediated by the intake of red meat (mediation effect BMI: 1.72%, p = 0.01; WC: 2.22%, p = 0.01; body fat %: 2.14%, p = 0.01). Moreover, among males, whole grains intake partly mediated the association between the PRS-Khera and outcomes cross-sectionally (BMI: 1.28%, p = 0.03; WC: 1.71%, p = 0.02; body fat %: 2.19%, p = 0.02) and longitudinally (BMI: 3.80%, p = 0.02; WC: 7.38%, p = 0.04), but some observations were attenuated upon correction for multiple comparisons. CONCLUSIONS PHDI adherence was associated with a lower BMI, WC, and body fat % and genetic susceptibility to obesity was partly mediated by the intake of red meat and whole grains. Some components of a plant-based diet could be implicated in mechanisms underlying genetic susceptibility to obesity.
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Affiliation(s)
- Guiomar Masip
- School of Human Nutrition, McGill University, 21111 Lakeshore Road, Sainte-Anne-de-Bellevue, QC, H9X 3V9, Canada
- GENUD (Growth, Exercise, Nutrition and Development) Research Group, Facultad de Ciencias de la Salud, Universidad de Zaragoza, Instituto Agroalimentario de Aragón (IA2), Instituto de Investigación Sanitaria de Aragón (IISA), Zaragoza, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Daiva E Nielsen
- School of Human Nutrition, McGill University, 21111 Lakeshore Road, Sainte-Anne-de-Bellevue, QC, H9X 3V9, Canada.
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Guzmán-Castellanos KB, Zazpe I, Santiago S, Bes-Rastrollo M, Martínez-González MÁ. Planetary Health Diet and Cardiovascular Disease Risk in the Seguimiento Universidad de Navarra (SUN) Cohort. Nutrients 2024; 17:27. [PMID: 39796459 PMCID: PMC11722671 DOI: 10.3390/nu17010027] [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: 11/24/2024] [Revised: 12/19/2024] [Accepted: 12/20/2024] [Indexed: 01/13/2025] Open
Abstract
BACKGROUND/OBJECTIVES Noncommunicable diseases, particularly cardiovascular disease (CVD), represent a significant global public health challenge, with unhealthy diets as a major risk factor. This study investigates the association between adherence to the Planetary Health Diet proposed by the EAT-Lancet Commission and CVD risk. METHODS Utilizing data from the Seguimiento Universidad de Navarra (SUN) cohort, which included 18,656 participants (mean age 38 years; 61% women), we assessed dietary intake using a validated food frequency questionnaire and the Planetary Health Diet Index to evaluate adherence (range 0-42). CVD was defined as new-onset stroke, myocardial infarction, or CVD death. RESULTS After a median follow-up time of 11.5 years, 220 cases of CVD were identified. Higher adherence to the Planetary Health Diet revealed no statistically significant reduction in CVD risk associated with the diet. Cox proportional hazard models indicated a trend towards lower CVD risk in the highest adherence quartile, but this did not reach significance (HR 0.77, 95% CI 0.51-1.18, p-trend = 0.127). Sensitivity analyses corroborated these results. Discrepancies in previous studies highlight the complexity of dietary assessments and underscore the need for standardized scoring systems. CONCLUSIONS In a large Spanish cohort, adherence to the Planetary Health Diet showed no significant reduction in CVD risk. Further research is needed to reach a consensus on the operational definition of the Planetary Health Diet and to clarify the relationship between diet and CVD risk.
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Grants
- PI10/02658, PI10/02293, PI13/00615, PI14/01668, PI14/01798, PI14/01764, PI17/01795, PI20/00564, PI23/01332 Instituto de Salud Carlos III
- G03/140 European Regional Development Fund
- 45/2011, 122/2014, 41/2016 Navarra Regional Government
- 2020/021 Plan Nacional Sobre Drogas
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Affiliation(s)
- Karen Berenice Guzmán-Castellanos
- Department of Preventive Medicine and Public Health, School of Medicine—Clínica Universidad de Navarra, University of Navarra, Irunlarrea 1, 31008 Pamplona, Spain; (K.B.G.-C.); (M.B.-R.)
| | - Itziar Zazpe
- Department of Nutrition and Food Sciences and Physiology, University of Navarra, Irunlarrea 1, 31008 Pamplona, Spain; (I.Z.); (S.S.)
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28040 Madrid, Spain
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain
| | - Susana Santiago
- Department of Nutrition and Food Sciences and Physiology, University of Navarra, Irunlarrea 1, 31008 Pamplona, Spain; (I.Z.); (S.S.)
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain
| | - Maira Bes-Rastrollo
- Department of Preventive Medicine and Public Health, School of Medicine—Clínica Universidad de Navarra, University of Navarra, Irunlarrea 1, 31008 Pamplona, Spain; (K.B.G.-C.); (M.B.-R.)
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28040 Madrid, Spain
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain
| | - Miguel Ángel Martínez-González
- Department of Preventive Medicine and Public Health, School of Medicine—Clínica Universidad de Navarra, University of Navarra, Irunlarrea 1, 31008 Pamplona, Spain; (K.B.G.-C.); (M.B.-R.)
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28040 Madrid, Spain
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
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10
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Han HY, Masip G, Meng T, Nielsen DE. Interactions between Polygenic Risk of Obesity and Dietary Factors on Anthropometric Outcomes: A Systematic Review and Meta-Analysis of Observational Studies. J Nutr 2024; 154:3521-3543. [PMID: 39393497 DOI: 10.1016/j.tjnut.2024.10.014] [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: 07/27/2024] [Revised: 10/02/2024] [Accepted: 10/04/2024] [Indexed: 10/13/2024] Open
Abstract
BACKGROUND Diet is an important determinant of health and may moderate genetic susceptibility to obesity, but meta-analyses of available evidence are lacking. OBJECTIVES This study aimed to systematically review and meta-analyze evidence on the moderating effect of diet on genetic susceptibility to obesity, assessed with polygenic risk scores (PRS). METHODS A systematic search was conducted using MEDLINE, EMBASE, Web of Science, and the Cochrane Library to retrieve observational studies that examined PRS-diet interactions on obesity-related outcomes. Dietary exposures of interest included diet quality/dietary patterns and consumption of specific food and beverage groups. Random-effects meta-analyses were performed for pooled PRS- healthy eating index (HEI) interaction coefficients on body mass index (BMI) (on the basis of data from 4 cohort studies) and waist circumference (WC) (on the basis of data from 3 cohort studies). RESULTS Out of 36 retrieved studies, 78% were conducted among European samples. Twelve out of 21 articles examining dietary indices/patterns, and 16 out of 21 articles examining food/beverage groups observed some significant PRS-diet interactions. However, within many articles, findings are inconsistent when testing different combinations of obesity PRS-dietary factors and outcomes. Nevertheless, higher HEI scores and adherence to plant-based dietary patterns emerged as the more prominent diet quality/patterns that moderated genetic susceptibility to obesity, whereas higher consumption of fruits and vegetables, and lower consumption of fried foods and sugar-sweetened beverages emerged as individual food/beverage moderators. Results from the meta-analysis suggest that a higher HEI attenuates genetic susceptibility on BMI (pooled PRS∗HEI coefficient: -0.08; 95% confidence interval (CI): -0.15, 0.00; P = 0.0392) and WC (-0.37; 95% CI: -0.60, -0.15; P = 0.0013). CONCLUSIONS Current observational evidence suggests a moderating role of overall diet quality in polygenic risk of obesity. Future research should aim to identify genetic loci that interact with dietary exposures on anthropometric outcomes and conduct analyses among diverse ethnic groups. TRIAL REGISTRATION NUMBER This study was registered at the International Prospective Register of Systematic Reviews as CRD42022312289.
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Affiliation(s)
- Hannah Yang Han
- School of Human Nutrition, McGill University, Sainte-Anne-de-Bellevue, QC, Canada
| | - Guiomar Masip
- School of Human Nutrition, McGill University, Sainte-Anne-de-Bellevue, QC, Canada; GENUD (Growth, Exercise, Nutrition and Development) Research Group, Facultad de Ciencias de la Salud, Universidad de Zaragoza, Instituto Agroalimentario de Aragón (IA2), Instituto de Investigación Sanitaria de Aragón (IISA), Zaragoza, Spain; Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Tongzhu Meng
- School of Human Nutrition, McGill University, Sainte-Anne-de-Bellevue, QC, Canada
| | - Daiva E Nielsen
- School of Human Nutrition, McGill University, Sainte-Anne-de-Bellevue, QC, Canada.
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11
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Guo J, He YY, Suo XY, Liu Y, Xiao LL, Zhou YJ, Hao ZX, Liang R, Bo YC, Lyu QJ, Zhu YJ. Healthy Plant-Based Diet, Genetic Predisposition, and the Risk of Incident Venous Thromboembolism. JACC. ADVANCES 2024; 3:101318. [PMID: 39817053 PMCID: PMC11734017 DOI: 10.1016/j.jacadv.2024.101318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/04/2024] [Revised: 08/23/2024] [Accepted: 08/29/2024] [Indexed: 01/18/2025]
Abstract
Background Plant-based dietary patterns are becoming increasingly popular due to environmental and health impacts, yet there are few studies exploring the relationship between plant-based dietary patterns and venous thromboembolism (VTE) in different genetic backgrounds. Objectives The aim of this study was to investigate how plant-based dietary pattern and genetic susceptibility independently or jointly affect VTE and its subtypes of pulmonary embolism and deep vein thrombosis. Methods A total of 183,510 participants who were White British ethnicity background and free of VTE at baseline in the UK Biobank were recruited, in consideration that the selection of genetic variants for VTE was based on results of White European individuals. The healthy plant-based diet index (hPDI) was calculated based on the 17 foods in the Oxford webQ. Genetic risk was quantified by a polygenic risk score (PRS) consisting of 297 single-nucleotide polymorphisms. Incident VTE was identified through hospital inpatient and death databases records from the UK Biobank. Cox regression analyses were conducted to estimate the associations between hPDI and PRS with the incident risk of VTE. Results During a mean follow-up of 13 years, a total of 4,587 cases of VTE were recorded. Compared to individuals in the lowest tertile of hPDI, multivariable-adjusted HRs of VTE in the highest tertile were 0.86 (95% CI: 0.80, 0.92; P trend = 0.02). And high PRS was associated with a 47% increase in VTE risk (adjusted HR: 1.47, 95% CI: 1.37, 1.58). No significant interaction between hPDI and PRS (P interaction = 0.540) was observed, even though participants with low hPDI an high PRS had the highest risk of VTE compared to those with high hPDI and low PRS (HR: 1.72, 95% CI: 1.52, 1.95). Conclusions Adherence to a healthy plant-based dietary pattern could reduce the risk of developing VTE independent of genetic background, lifestyles, sociodemographic features, and multiple morbidities. Our findings underline the importance of diet in VTE prevention interventions.
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Affiliation(s)
- Jing Guo
- Department of Kinesiology, School of Physical Education (Main Campus), Zhengzhou University, Zhengzhou, China
- Department of Nutrition and Food Hygiene, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Yang-Yang He
- State Key Laboratory of Antiviral Drugs, School of Pharmacy, Henan University, Zhengzhou, China
| | - Xiang-Ying Suo
- Department of Nutrition and Food Hygiene, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Yang Liu
- Department of Nutrition and Food Hygiene, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Li-Li Xiao
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yan-Jun Zhou
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zhen-Xuan Hao
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Rui Liang
- Department of Nutrition, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Ya-Cong Bo
- Department of Nutrition and Food Hygiene, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Quan-Jun Lyu
- Department of Nutrition and Food Hygiene, College of Public Health, Zhengzhou University, Zhengzhou, China
- Department of Public Health, Zhengzhou Shuqing Medical College, Zhengzhou, Henan, China
| | - Yong-Jian Zhu
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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12
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Cai D, Zeng Y, Liang X, Song A, Ye M. Association of Plant-Based Dietary Patterns with Activities of Daily Living Disability in Older Adults Based on a 10-Year Cohort Study. Nutrients 2024; 16:4011. [PMID: 39683405 PMCID: PMC11643895 DOI: 10.3390/nu16234011] [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: 10/29/2024] [Revised: 11/15/2024] [Accepted: 11/21/2024] [Indexed: 12/18/2024] Open
Abstract
BACKGROUND In the context of population aging, activities of daily living (ADL) disability has brought great challenges to the health of the elderly. The relationship between plant-based dietary patterns and the health of the elderly has been widely discussed. However, few studies have explored the correlation between plant-based dietary patterns and ADL disability in older adults. METHODS We included 2004 participants from the Chinese Longitudinal Health Longevity Survey (CLHLS). The Simplified Food Frequency Questionnaire was used to measure Plant-Based Diet Index (PDI), healthy Plant-Based Diet Index (hPDI), and unhealthy Plant-Based Diet Index (uPDI). A Cox proportional hazards model was used to assess associations between plant-based dietary patterns and ADL disability in older adults and to explore age differences in these associations. RESULTS uPDI and hPDI showed nonlinear associations with ADL disability. Following covariate adjustments, older adults in the highest tertile of the hPDI have a lower risk of ADL disability than those in the lowest tertile (HR = 0.61). Older adults in the highest tertile of the uPDI have a higher risk of ADL disability than those in the lowest tertile (HR = 1.33). Subgroup analyses showed that hPDI was more protective against ADL disability in those under 80 years of age, whereas uPDI was only significantly associated with an increased risk of ADL disability in those under 80 years of age. CONCLUSIONS Increasing the intake of healthy plant-based diets and reducing the intake of unhealthy plant-based and animal-based diets can help prevent and improve ADL disability in the elderly.
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Affiliation(s)
| | | | | | | | - Mengliang Ye
- School of Public Health, Chongqing Medical University, No. 1 Yixueyuan Road, Yuzhong District, Chongqing 400016, China; (D.C.); (Y.Z.); (X.L.); (A.S.)
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13
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Zheng X, Liu J, Wang S, Xiao Y, Jiang Q, Li C, Shang H. Total physical activity, plant-based diet and neurodegenerative diseases: A prospective cohort study of the UK biobank. Parkinsonism Relat Disord 2024; 128:107125. [PMID: 39241508 DOI: 10.1016/j.parkreldis.2024.107125] [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: 06/06/2024] [Revised: 08/20/2024] [Accepted: 08/31/2024] [Indexed: 09/09/2024]
Abstract
INTRODUCTION Neurodegenerative diseases (NDDs) result from a complex interplay of genetic, environmental and aging factors. A balanced diet and adequate physical activity (PA) are recognized as pivotal components among modifiable environmental factors. The independent impact on NDD incidence has been previously debated. This investigation seeks to delineate the association between PA and NDDs across various levels of adherence to a plant-based diet. METHODS In this study, a cohort of 368,934 participants from the UK Biobank was analyzed. Total physical activity (TPA) levels and healthful plant-based diet index (hPDI) were calculated and categorized. A multiple adjusted Cox model was utilized to evaluate the influence of TPA and hPDI on common NDDs, respectively. RESULTS Finally, 4602 identified cases diagnosed as Alzheimer's disease (AD), Parkinson's disease (PD) or amyotrophic lateral sclerosis (ALS). We found that higher TPA was significantly associated with a reduced risk of developing AD (Q3: HR 0.87; Q4: HR 0.78) and PD (Q3: HR 0.86; Q4: HR 0.81). The protective effect was further accentuated with adherence to a plant-based diet. However, these connections were not observed in the analysis of ALS regardless of dietary patterns. CONCLUSION Our findings underscore a significant association between higher TPA and reduced risks of AD and PD, with an enhanced effect observed in conjunction with a plant-based diet. This study contributes to addressing the knowledge gap regarding the combined impact of TPA and a plant-based diet on NDDs occurrence, providing insights into potential underlying mechanisms.
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Affiliation(s)
- Xiaoting Zheng
- Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Jiyong Liu
- Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Shichan Wang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Yi Xiao
- Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Qirui Jiang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Chunyu Li
- Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, China.
| | - Huifang Shang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, China.
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14
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Thompson AS, Tresserra-Rimbau A, Jennings A, Bondonno NP, Candussi CJ, O'Neill JK, Hill C, Gaggl M, Cassidy A, Kühn T. Adherence to a Healthful Plant-Based Diet and Risk of Chronic Kidney Disease Among Individuals with Diabetes. JOURNAL OF THE AMERICAN NUTRITION ASSOCIATION 2024:1-11. [PMID: 39466646 DOI: 10.1080/27697061.2024.2415917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2024] [Revised: 09/27/2024] [Accepted: 10/08/2024] [Indexed: 10/30/2024]
Abstract
OBJECTIVE Chronic kidney disease (CKD) is highly prevalent among people with diabetes. While identifying modifiable risk factors to prevent a decline in kidney function among those living with diabetes is pivotal, there is limited evidence on dietary risk factors for CKD. In this study, we examined the associations between healthy and less healthy plant-based diets (PBDs) and the risk of CKD among those with diabetes, and to identify potential underlying mechanisms. METHODS We conducted a prospective analysis among 7,747 UK Biobank participants with prevalent diabetes. Multivariable Cox proportional hazard regression models were used to examine the associations between healthful and unhealthful PBDs and the risk of CKD. Causal mediation analyses were further employed to explore the underlying mechanisms of the observed associations. RESULTS Among 7,747 study participants with diabetes, 1,030 developed incident CKD over 10.2 years of follow-up. Higher adherence to a healthy PBD was associated with a 24% lower CKD risk (HRQ4 versus Q1: 0.76 [95%CI: 0.63-0.92], ptrend = 0.002), while higher adherence to an unhealthy PBD was associated with a 35% higher risk (HRQ4 versus Q1: 1.35 [95%CI: 1.11-1.65], ptrend = 0.006). The observed associations were predominantly mediated by markers of body fatness (proportion mediated: 11-25%) and kidney function (23-89%). CONCLUSIONS In this prospective cohort study of middle-aged adults with diabetes, adherence to a healthy PBD was associated with lower CKD risk, whereas adherence to an unhealthy PBD was associated with a higher CKD risk. Associations were primarily mediated by markers of lower body fatness and improved kidney function.
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Affiliation(s)
- Alysha S Thompson
- The Co-Centre for Sustainable Food Systems and The Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast, Northern Ireland, UK
| | - Anna Tresserra-Rimbau
- The Co-Centre for Sustainable Food Systems and The Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast, Northern Ireland, UK
- Department of Nutrition, Food Science and Gastronomy, XIA, School of Pharmacy and Food Sciences, INSA, University of Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Amy Jennings
- The Co-Centre for Sustainable Food Systems and The Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast, Northern Ireland, UK
| | - Nicola P Bondonno
- The Co-Centre for Sustainable Food Systems and The Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast, Northern Ireland, UK
- Danish Cancer Institute, Copenhagen, Denmark
- Nutrition & Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Catharina J Candussi
- Department of Nutritional Sciences, University of Vienna, Vienna, Austria
- Center for Public Health, Medical University of Vienna, Vienna, Austria
| | - Joshua K O'Neill
- The Co-Centre for Sustainable Food Systems and The Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast, Northern Ireland, UK
| | - Claire Hill
- Centre for Public Health, Queen's University Belfast, Belfast, United Kingdom
| | - Martina Gaggl
- Center for Public Health, Medical University of Vienna, Vienna, Austria
| | - Aedín Cassidy
- The Co-Centre for Sustainable Food Systems and The Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast, Northern Ireland, UK
| | - Tilman Kühn
- The Co-Centre for Sustainable Food Systems and The Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast, Northern Ireland, UK
- Department of Nutritional Sciences, University of Vienna, Vienna, Austria
- Center for Public Health, Medical University of Vienna, Vienna, Austria
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15
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Zhuang P, Wang F, Yao J, Liu X, Li Y, Ao Y, Ye H, Wan X, Zhang Y, Jiao J. Unhealthy plant-based diet is associated with a higher cardiovascular disease risk in patients with prediabetes and diabetes: a large-scale population-based study. BMC Med 2024; 22:485. [PMID: 39443972 PMCID: PMC11515529 DOI: 10.1186/s12916-024-03683-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Accepted: 10/03/2024] [Indexed: 10/25/2024] Open
Abstract
BACKGROUND The role of plant-based dietary patterns in preventing cardiovascular disease (CVD) among individuals with prediabetes and diabetes remains unclear. We aimed to evaluate the associations of plant-based diet index (PDI), healthful PDI (hPDI), and unhealthful PDI (uPDI) with cardiovascular disease (CVD) risk and explore potential contributing factors among people with prediabetes and diabetes. METHODS A total of 17,926 participants with prediabetes and 7798 with diabetes were enrolled from the UK Biobank between 2006 and 2010 and followed until the end of 2020. We calculated the PDI, hPDI, and uPDI based on 18 major food groups including plant-based foods and animal-based foods and applied Cox proportional hazard models to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) for CVD risk related to PDI, hPDI, and uPDI. Decomposition analysis was performed to assess the role of dietary components, and mediation analysis was performed to assess the potential mediating role of serum biomarkers underlying these associations. RESULTS A total of 2324 CVD events were documented among individuals with prediabetes, while 1461 events occurred among patients with diabetes. An inverse association was found between hPDI and CVD risk among individuals with prediabetes (HR T3 vs. T1 = 0.88, 95% CI = 0.79-0.98, Ptrend = 0.025) but not those with diabetes. A positive association was found between uPDI and CVD risk among individuals with prediabetes (HR T3 vs. T1 = 1.17, 95% CI = 1.05-1.30, Ptrend = 0.005) and those with diabetes (HR T3 vs. T1 = 1.14, 95% CI = 1.00-1.29, Ptrend = 0.043). High-sugar-sweetened beverages (SSB) intake accounted for 35% of the hPDI-CVD association and 15% of the uPDI-CVD association among individuals with prediabetes, whereas low intake of whole grain accounted for 36% of the association among patients with diabetes. Elevated cystatin C levels explained the largest proportion of the association between uPDI and CVD risk among individuals with prediabetes (15%, 95% CI = 7-30%) and diabetes (44%, 95% CI = 9-86%). CONCLUSIONS Adherence to an unhealthy plant-based diet is associated with a higher CVD risk in people with prediabetes or diabetes, which may be partially attributed to low consumption of whole grains, high intake of SSB, and high blood cystatin C levels.
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Affiliation(s)
- Pan Zhuang
- Department of Endocrinology, The Second Affiliated Hospital, School of Public Health, Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Fenglei Wang
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jianxin Yao
- Department of Food Science and Nutrition, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, Zhejiang, China
| | - Xiaohui Liu
- Department of Endocrinology, The Second Affiliated Hospital, School of Public Health, Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China
| | - Yin Li
- Department of Endocrinology, The Second Affiliated Hospital, School of Public Health, Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China
| | - Yang Ao
- Department of Endocrinology, The Second Affiliated Hospital, School of Public Health, Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China
| | - Hao Ye
- Department of Endocrinology, The Second Affiliated Hospital, School of Public Health, Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China
| | - Xuzhi Wan
- Department of Endocrinology, The Second Affiliated Hospital, School of Public Health, Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China
| | - Yu Zhang
- Department of Food Science and Nutrition, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, Zhejiang, China
| | - Jingjing Jiao
- Department of Endocrinology, The Second Affiliated Hospital, School of Public Health, Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China.
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Li K, Huang Y, Wang L, Yuan Y, Jiang X, Yang Y, Huang Q, Wang H. Association of Four Dietary Patterns and Stair Climbing with Major Adverse Cardiovascular Events: A Large Population-Based Prospective Cohort Study. Nutrients 2024; 16:3576. [PMID: 39519409 PMCID: PMC11547348 DOI: 10.3390/nu16213576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2024] [Revised: 10/15/2024] [Accepted: 10/19/2024] [Indexed: 11/16/2024] Open
Abstract
BACKGROUND The protective effect of a healthy diet combined with stair climbing on cardiovascular health is unclear. We aimed to assess the independent and joint associations of dietary patterns and stair climbing with major adverse cardiovascular events (MACEs). METHODS We included 117,384 participants with information on dietary intake and stair climbing from the UK Biobank (UKBB). We excluded participants with MACEs at baseline and death within two years of follow-up. We used restricted cubic spline (RCS) plots describing the linear or nonlinear associations between dietary patterns (the alternate Mediterranean diet score (AMED), dietary approaches to stop hypertension (DASH), the healthful planted-based diet index (HPDI) and the alternate healthy eating index-2010 (AHEI-2010)) and stair climbing and MACEs. COX regressions estimated the hazard ratios (HRs) for incident MACEs associated with dietary patterns combined with stair climbing, and adjusted for sociodemographic, lifestyle and medical factors. RESULTS The UKBB documented 9408 MACEs over a median follow-up of 13.3 years. Four dietary patterns were negatively and linearly associated with MACEs (P-nonlinear > 0.05), whereas daily stair climbing was negatively and nonlinearly associated with MACEs (P-nonlinear = 0.011). All of the dietary patterns had significant multiplicative interactions with stair climbing (all p-values < 0.05). The three dietary patterns had the lowest risk ratios for MACEs in the highest tertile (T3) combined with daily stair climbing of 60-100 steps (AMED: 0.78 (0.68, 0.89), DASH: 0.80 (0.70, 0.91) and HPDI: 0.86 (0.75, 0.98)), whereas the AHEI-2010 had the lowest HRs for MACEs in the T1 combined with stair climbing of 110-150 steps (AHEI-2010: 0.81 (0.71, 0.93)). CONCLUSIONS Maintaining healthy dietary patterns and adhering to an average of 60-100 steps of stair climbing per day at home can be effective in preventing cardiovascular health-related events.
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Affiliation(s)
- Kexin Li
- State Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China (Y.H.)
| | - Yanqiu Huang
- State Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China (Y.H.)
| | - Liao Wang
- Shanghai Frontiers Science Center of Degeneration and Regeneration in Skeletal System, Shanghai Key Laboratory of Orthopaedic Implants, Department of Orthopaedic Surgery, Shanghai Jiao Tong University of Medicine affiliated Ninth People’s Hospital, Shanghai 200023, China; (L.W.); (X.J.)
| | - Yong Yuan
- Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200333, China
| | - Xu Jiang
- Shanghai Frontiers Science Center of Degeneration and Regeneration in Skeletal System, Shanghai Key Laboratory of Orthopaedic Implants, Department of Orthopaedic Surgery, Shanghai Jiao Tong University of Medicine affiliated Ninth People’s Hospital, Shanghai 200023, China; (L.W.); (X.J.)
| | - Yang Yang
- Bloomberg School of Public Health, Johns Hopkins University, 615 N. Wolfe Street, Baltimore, MD 21205, USA;
| | - Qingyun Huang
- Department of Mechanical Engineering, City University of Hong Kong, Hong Kong 999077, China
| | - Hui Wang
- State Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China (Y.H.)
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Park S, Kim DS, Kang S. Gene-diet interactions in carbonated sugar-sweetened beverage consumption and metabolic syndrome risk: A machine learning analysis in a large hospital-based cohort. Clin Nutr ESPEN 2024; 64:358-369. [PMID: 39396701 DOI: 10.1016/j.clnesp.2024.10.004] [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: 08/12/2024] [Revised: 09/12/2024] [Accepted: 10/08/2024] [Indexed: 10/15/2024]
Abstract
BACKGROUND AND AIM Carbonated sugar-sweetened beverages (CSSB) intake has been increasingly linked to metabolic diseases. To investigate the association between CSSB intake and metabolic syndrome (MetS) risk, and the interaction between genetic predisposition to CSSB intake and dietary patterns. METHODS We examined a hospital-based cohort of 57,940 participants, categorized into low-CSSB (n = 52,848) and high-CSSB (n = 5092) groups based on a 50 ml daily consumption cutoff. A genome-wide association study (GWAS) identified single-nucleotide polymorphisms (SNPs) associated with CSSB intake, and SNP-SNP/SNP-environment interactions were explored. Using XGBoost and deep neural network (DNN) approaches, we developed prediction models for CSSB intake. RESULTS The low- and high-CSSB groups daily consumed an average of 0.56 and 8.91 g sugar from the soda, respectively. The high-CSSB group had unhealthy dietary habits and a lower intake of carotenoids, folate, vitamins C and D, calcium, flavonoids, and phenols than the low-CSSB group, consistent with the results of the prediction models. A polygenic risk score (PRS) based on 6 selected SNPs, linked to genes involved in obesity, diabetes, and nervous system disorders, showed the strongest association with CSSB intake and insulin resistance. Notably, carbohydrate, fat, and Western-style diet (WSD) intake interacted with the PRS, with lower carbohydrate and higher fat and WSD intakes associated with a stronger PRS-sugar intake relationship. The prediction models by XGboost and DNN mainly included dietary factors to explain CSSB intake. CONCLUSIONS A significant interplay between genetic predisposition and poor dietary habits, particularly increased CSSB intake associated with WSD, contributed to MetS risk. It suggested that personalized dietary interventions based on genetic profiles could mitigate MetS risk, especially in populations transitioning to Westernized diets.
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Affiliation(s)
- Sunmin Park
- Korea Dept. of Bioconvergence, Hoseo University, Asan, South Korea; Dept. of Food and Nutrition, Obesity/Diabetes Research Center, Hoseo University, Asan, South Korea.
| | - Da Sol Kim
- Dept. of Food and Nutrition, Obesity/Diabetes Research Center, Hoseo University, Asan, South Korea
| | - Suna Kang
- Dept. of Food and Nutrition, Obesity/Diabetes Research Center, Hoseo University, Asan, South Korea
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18
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Thompson AS, Gaggl M, Bondonno NP, Jennings A, O'Neill JK, Hill C, Karavasiloglou N, Rohrmann S, Cassidy A, Kühn T. Adherence to a healthful plant-based diet and risk of mortality among individuals with chronic kidney disease: A prospective cohort study. Clin Nutr 2024; 43:2448-2457. [PMID: 39305755 DOI: 10.1016/j.clnu.2024.09.021] [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: 04/08/2024] [Revised: 07/29/2024] [Accepted: 09/05/2024] [Indexed: 10/01/2024]
Abstract
BACKGROUND Plant-rich dietary patterns may protect against negative health outcomes among individuals with chronic kidney disease (CKD), although aspects of plant-based diet quality have not been studied. This study aimed to examine associations between healthful and unhealthful plant-based dietary patterns with risk of all-cause mortality among CKD patients for the first time. METHODS This prospective analysis included 4807 UK Biobank participants with CKD at baseline. We examined associations of adherence to both the healthful plant-based diet index (hPDI) and unhealthful plant-based diet index (uPDI), calculated from repeated 24-h dietary assessments, with risk of all-cause mortality using multivariable Cox proportional hazard regression models. RESULTS Over a 10-year follow-up, 675 deaths were recorded. Participants with the highest hPDI scores showed a 34% lower risk of mortality [HRQ4vsQ1 (95% CI): 0.66 (0.52-0.83), ptrend <0.001]. Those with the highest uPDI scores had a 52% [1.52 (1.20-1.93), ptrend = 0.002] higher risk of mortality compared to participants with the lowest respective scores. In food group-specific analyses, higher wholegrain intakes were associated with a 29% lower mortality risk, while intakes of refined grains, and sugar-sweetened beverages were associated a 30% and 34% higher risk, respectively. CONCLUSIONS In CKD patients, a higher intake of healthy plant-based foods was associated with a lower risk of mortality, while a higher intake of less healthy plant-based foods was associated with a higher risk of mortality. These results underscore the importance of plant food quality and support the potential role of healthy plant food consumption in the treatment and management of CKD to mitigate unfavourable outcomes.
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Affiliation(s)
- Alysha S Thompson
- The Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Northern Ireland, United Kingdom
| | - Martina Gaggl
- Medical University of Vienna, Center for Public Health, Public Health Nutrition, Vienna, Austria
| | - Nicola P Bondonno
- The Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Northern Ireland, United Kingdom; Danish Cancer Institute, Copenhagen, Denmark; Nutrition & Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Amy Jennings
- The Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Northern Ireland, United Kingdom
| | - Joshua K O'Neill
- The Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Northern Ireland, United Kingdom
| | - Claire Hill
- Centre for Public Health, Queen's University Belfast, Belfast, United Kingdom
| | - Nena Karavasiloglou
- Division of Chronic Disease Epidemiology, Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Zurich, Switzerland; Cancer Registry of the Cantons Zurich, Zug, Schaffhausen and Schwyz, Institute of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland; European Food Safety Authority, Parma, Italy
| | - Sabine Rohrmann
- Division of Chronic Disease Epidemiology, Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Zurich, Switzerland; Cancer Registry of the Cantons Zurich, Zug, Schaffhausen and Schwyz, Institute of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland
| | - Aedín Cassidy
- The Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Northern Ireland, United Kingdom.
| | - Tilman Kühn
- The Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Northern Ireland, United Kingdom; Medical University of Vienna, Center for Public Health, Public Health Nutrition, Vienna, Austria; University of Vienna, Department of Nutritional Sciences, Vienna, Austria.
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Jin K, Mi N, He W, Zhong R, Jin B, Liu Z, Dong C, Lin Y, Yue P, Xia B, He Q, Yuan J, Meng W. Dietary patterns, genetic predisposition, and risk of cholelithiasis: a large-scale prospective cohort study. Front Nutr 2024; 11:1469789. [PMID: 39399528 PMCID: PMC11466834 DOI: 10.3389/fnut.2024.1469789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2024] [Accepted: 09/16/2024] [Indexed: 10/15/2024] Open
Abstract
Background Limited epidemiological evidence exists concerning the impact of healthy dietary patterns on reducing the risk of cholelithiasis. We aimed to examine the association of seven established dietary patterns with subsequent cholelithiasis risk and whether this association was modified by genetic risk. Methods We conducted a prospective cohort study from the UK Biobank, including 155,323 participants initially free of cholelithiasis and cholecystectomy. Dietary patterns were assessed using a validated food frequency questionnaire (Oxford WebQ), covering Mediterranean Diet Score (MED), alternate Mediterranean Diet Score(aMED), overall Plant-based Diet Index (PDI), healthy Plant-based Diet Index (hPDI), unhealthy Plant-based Diet Index (uPDI), Healthy Eating Index 2015 (HEI-2015) and EAT-lancet Score. Genetic risk was quantified and stratified by a polygenic risk score (PRS) incorporating 13 known cholelithiasis-associated loci. Cox proportional hazards regression was employed to estimate the association between dietary patterns, PRS, and cholelithiasis incidence, adjusting for potential confounders. Results During a median follow-up of 13.3 years, 5,056 cases of cholelithiasis were identified. After adjusting for potential confounders, adherence to aMED and HEI-2015 dietary patterns reduced cholelithiasis risk by 10% (HR: 0.90; 95%CI: 0.83-0.98) and 11% (HR: 0.89; 95%CI: 0.82-0.96), respectively. A significant decrease in cholelithiasis risk was observed across PRS quintiles, low PRS was associated with a 16% reduced risk (HR: 0.84; 95%CI: 0.77-0.92). Participants with both high dietary scores and low genetic risk had the lowest cholelithiasis risk, with an HR of 0.76 (95%CI: 0.64-0.91) for aMED and 0.73 (95%CI: 0.61-0.88) for HEI-2015. Conclusion Higher adherence to aMED and HEI-2015 might significantly decrease the risk of cholelithiasis, irrespective of genetic risk. Our results highlighted the potential of diet intervention for cholelithiasis prevention in the general population.
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Affiliation(s)
- Kecheng Jin
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, China
| | - Ningning Mi
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, China
| | - Wangping He
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, China
| | - Ruyang Zhong
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, China
| | - Boru Jin
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, China
| | - Zhen Liu
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, China
| | - Chunlu Dong
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, China
| | - Yanyan Lin
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, China
| | - Ping Yue
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, China
| | - Bin Xia
- Clinical Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Qiangsheng He
- Clinical Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Jinqiu Yuan
- Clinical Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Wenbo Meng
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, China
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20
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Ye YX, Chen JX, Li Y, Lai YW, Lu Q, Xia PF, Franco OH, Liu G, Pan A. Adherence to a planetary health diet, genetic susceptibility, and incident cardiovascular disease: a prospective cohort study from the UK Biobank. Am J Clin Nutr 2024; 120:648-655. [PMID: 38950778 DOI: 10.1016/j.ajcnut.2024.06.014] [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: 04/19/2024] [Revised: 06/17/2024] [Accepted: 06/26/2024] [Indexed: 07/03/2024] Open
Abstract
BACKGROUND The influence of adherence to a planetary health diet (PHD) proposed by the EAT-Lancet Commission on cardiovascular disease (CVD) is inconclusive. Besides, whether genetic susceptibility to CVD can modify the association of PHD with CVD remains unknown. OBJECTIVE We aimed to investigate the association between adherence to PHD and CVD, and to evaluate the interaction between PHD and genetic predisposition to CVD. METHODS This study included 114,165 participants who completed at least two 24-h dietary recalls and were initially free of CVD from the UK Biobank. PHD score was calculated to assess adherence to PHD. Genetic risk was evaluated using the polygenic risk score. Incidence of total CVD, ischemic heart disease (IHD), atrial fibrillation (AF), heart failure (HF), and stroke were identified via electronic health records. Cox proportional hazard regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS During a median follow-up of 9.9 y, 10,071 (8.8%) incident CVD cases were documented. Compared with participants with the lowest adherence to PHD, HRs (95% CIs) for total CVD, IHD, AF, HF, and stroke among those with the highest adherence were 0.79 (0.74, 0.84), 0.73 (0.67, 0.79), 0.90 (0.82, 0.99), 0.69 (0.59, 0.82), and 0.88 (0.75, 1.04), respectively. No significant interaction between the genetic risk of CVD and PHD was observed. Participants with high genetic risk and low PHD score, as compared with those with low genetic risk and high PHD score, had a 48% (95% CI: 40%, 56%) higher risk of CVD. The population-attributable risk (95% CI) of CVD for poor adherence to PHD ranged from 8.79% (5.36%, 12.51%) to 14.00% (9.00%, 18.88%). CONCLUSIONS These findings suggest that higher adherence to PHD was associated with lower risk of total CVD, IHD, AF, and HF in populations across all genetic risk categories.
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Affiliation(s)
- Yi-Xiang Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jun-Xiang Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yue Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yu-Wei Lai
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qi Lu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Peng-Fei Xia
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Oscar H Franco
- Department of Global Public Health & Bioethics, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Gang Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - An Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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Bock N, Langmann F, Johnston LW, Ibsen DB, Dahm CC. The Association between the Substitution of Red Meat with Legumes and the Risk of Primary Liver Cancer in the UK Biobank: A Cohort Study. Nutrients 2024; 16:2383. [PMID: 39125264 PMCID: PMC11314238 DOI: 10.3390/nu16152383] [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: 06/20/2024] [Revised: 07/14/2024] [Accepted: 07/18/2024] [Indexed: 08/12/2024] Open
Abstract
Primary liver cancer is globally on the rise, partially due to poor diets and sedentary lifestyles. Shifting to more plant-based diets may lower the risk. We aimed to estimate the effect of replacing total red meat, unprocessed red meat and processed red meat with legumes on primary liver cancer in a free-living population. We analyzed data from 126,744 UK Biobank participants who completed ≥ two 24 h diet recalls. Baseline characteristics were collected from the initial assessment visit. Information on liver cancer diagnoses was collected via external linkage to inpatient hospital episodes or central cancer registries. Cox proportional hazards regression models were used to estimate the substitution of 15 g/day of legumes with 15 g/day of total red meat, unprocessed red meat or processed red meat on liver cancer risk, using the leave-one-out food substitution model. During a median follow-up time of 11.1 years, 173 participants developed liver cancer. In the fully adjusted models, no association was observed when substituting 15 g/day of legumes with total red meat (HR: 1.02 (95% CI 0.96-1.08)), unprocessed red meat (HR: 1.00 (95% CI 0.94-1.06)) or processed red meat (HR: 1.09 (95% CI 0.99-1.21)). Overall, little evidence of an association between replacing red meat with legumes and liver cancer was observed. Further research in other study populations with longer follow-up time is warranted.
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Affiliation(s)
- Niels Bock
- Department of Public Health, Aarhus University, 8000 Aarhus, Denmark; (N.B.); (F.L.); (L.W.J.); (D.B.I.)
| | - Fie Langmann
- Department of Public Health, Aarhus University, 8000 Aarhus, Denmark; (N.B.); (F.L.); (L.W.J.); (D.B.I.)
| | - Luke W. Johnston
- Department of Public Health, Aarhus University, 8000 Aarhus, Denmark; (N.B.); (F.L.); (L.W.J.); (D.B.I.)
- Steno Diabetes Center Aarhus, Aarhus University Hospital, 8200 Aarhus, Denmark
| | - Daniel B. Ibsen
- Department of Public Health, Aarhus University, 8000 Aarhus, Denmark; (N.B.); (F.L.); (L.W.J.); (D.B.I.)
- Steno Diabetes Center Aarhus, Aarhus University Hospital, 8200 Aarhus, Denmark
| | - Christina C. Dahm
- Department of Public Health, Aarhus University, 8000 Aarhus, Denmark; (N.B.); (F.L.); (L.W.J.); (D.B.I.)
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Roumi Z, Mirzababaei A, Abaj F, Davaneghi S, Aali Y, Mirzaei K. The interaction between polyphenol intake and genes (MC4R, Cav-1, and Cry1) related to body homeostasis and cardiometabolic risk factors in overweight and obese women: a cross-sectional study. Front Nutr 2024; 11:1410811. [PMID: 39104759 PMCID: PMC11299215 DOI: 10.3389/fnut.2024.1410811] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Accepted: 07/10/2024] [Indexed: 08/07/2024] Open
Abstract
Background Cardiovascular disease (CVD), which is an important global health challenge, is expanding. One of the main factors in the occurrence of CVD is a high genetic risk. The interaction between genetic risk in CVD and nutrition is debatable. Polyphenols are one of the important dietary components that may have a protective role in people who have a high genetic risk score (GRS) for cardiometabolic risk factors. This study, conducted in overweight and obese women, examines the interaction between polyphenol intake and specific genes (MC4r, Cav-1, and Cry1) related to maintaining body balance and their interaction with cardiometabolic risk factors. Methods This cross-sectional study included 391 women who were overweight or obese, aged 18 to 48 years, with a body mass index (BMI) between 25 and 40 kg/m2. Body composition was measured using the InBody 770 scanner. Total dietary polyphenol intake (TDPI) was assessed with a validated 147-item food frequency questionnaire (FFQ), and polyphenol intakes were determined using the Phenol-Explorer database. Serum samples underwent biochemical tests. The Genetic Risk Score (GRS) was calculated based on the risk alleles of three genes: MC4r, Cav-1, and Cry1. Results The mean ± standard deviation (SD) age and BMI of women were 36.67 (9.1) years and 30.98 (3.9) kg/m2, respectively. The high GRS and high TDPI group had a significant negative interaction with fasting blood glucose (FBS) (p = 0.01). Individuals who had a high GRS and a high phenolic acid intake were found to have a significant negative interaction with Triglyceride (p = 0.04). Similarly, individuals with high GRS and a high intake of flavonoids had a significant negative interaction with TG (p < 0.01) and a significant positive interaction with High-density lipoprotein (HDL) (p = 0.01) in the adjusted model. Conclusion According to our findings, those with a high GRS may have a protective effect on cardiometabolic risk factors by consuming high amounts of polyphenols. Further studies will be necessary in the future to validate this association.
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Affiliation(s)
- Zahra Roumi
- Department of Nutrition, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Atieh Mirzababaei
- Department of Nutrition, Science and Research Branch, Islamic Azad University, Tehran, Iran
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Faezeh Abaj
- Department of Nutrition, Dietetics and Food, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
| | - Soheila Davaneghi
- MSC, School of Nutrition and Food Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Yasaman Aali
- Department of Nutrition, Science and Research Branch, Islamic Azad University, Tehran, Iran
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Khadijeh Mirzaei
- Department of Nutrition, Science and Research Branch, Islamic Azad University, Tehran, Iran
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Schorr KA, Agayn V, de Groot LCPGM, Slagboom PE, Beekman M. A plant-based diet index to study the relation between diet and disease risk among adults: a narrative review. J Nutr Health Aging 2024; 28:100272. [PMID: 38815475 DOI: 10.1016/j.jnha.2024.100272] [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: 12/01/2023] [Revised: 05/17/2024] [Accepted: 05/18/2024] [Indexed: 06/01/2024]
Abstract
Plant-based diets (PBD) may offer various health benefits and contribute to a sustainable way of life, but, if not planned correctly, may also confer risks, e.g., by focusing on plant foods with low nutrient density, such as foods primarily consisting of refined carbohydrates. A plant-based diet index (PDI) differentiating between a healthful, unhealthful, and overall PBD, offers a promising approach to standardize and compare studies and integrate results. In this review we (1) summarize current evidence on the PDI and disease risk of relevance to public health, (2) discuss the methodology of the PDI and how it can be sensibly applied in further studies and (3) indicate areas with a lack of knowledge, such as vulnerable populations. In summary, our amalgamation shows, that adherence to a healthier plant-based diet is associated with an 8-68% lower risk for metabolic risk factors, diabetes, and cardiovascular disease, while adherence to an unhealthier plant-based diet is associated with a 10-63% higher risk. Although differences in calculation methods and underlying diet patterns between populations should be accounted for, the PDI can be a useful tool to assess adherence to different plant-based diet patterns and their association with health outcomes in cohort studies across cultures.
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Affiliation(s)
- Kerstin A Schorr
- Innoso BV, Den Haag, The Neterhlands; Leiden University Medical Center, Leiden, The Netherlands.
| | | | | | | | - Marian Beekman
- Leiden University Medical Center, Leiden, The Netherlands
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Chermon D, Birk R. Deciphering the Interplay between Genetic Risk Scores and Lifestyle Factors on Individual Obesity Predisposition. Nutrients 2024; 16:1296. [PMID: 38732542 PMCID: PMC11085817 DOI: 10.3390/nu16091296] [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: 04/01/2024] [Revised: 04/24/2024] [Accepted: 04/24/2024] [Indexed: 05/13/2024] Open
Abstract
Obesity's variability is significantly influenced by the interplay between genetic and environmental factors. We aimed to integrate the combined impact of genetic risk score (GRSBMI) with physical activity (PA), sugar-sweetened beverages (SSB), wine intake, and eating habits score (EHS) on obesity predisposition risk. Adults' (n = 5824) data were analyzed for common obesity-related single nucleotide polymorphisms and lifestyle habits. The weighted GRSBMI was constructed and categorized into quartiles (Qs), and the adjusted multivariate logistic regression models examined the association of GRSBMI with obesity (BMI ≥ 30) and lifestyle factors. GRSBMI was significantly associated with obesity risk. Each GRSBMI unit was associated with an increase of 3.06 BMI units (p ≤ 0.0001). PA markedly reduced obesity risk across GRSBMI Qs. Inactive participants' (≥90 min/week) mean BMI was higher in GRSBMI Q3-Q4 compared to Q1 (p = 0.003 and p < 0.001, respectively). Scoring EHS ≥ median, SSBs (≥1 cup/day), and non-wine drinking were associated with higher BMI within all GRSBMI Qs compared to EHS < median, non-SSBs, and non-wine drinkers. Mean BMI was higher in GRSBMI Q4 compared to other quartiles (p < 0.0001) in non-wine drinkers and compared to Q1 for SSB's consumers (p = 0.07). A higher GRSBMI augmented the impact of lifestyle factors on obesity. The interplay between GRSBMI and modifiable lifestyle factors provides a tailored personalized prevention and treatment for obesity management.
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Affiliation(s)
| | - Ruth Birk
- Nutrition Department, Health Science Faculty, Ariel University, Ariel 40700, Israel;
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Zhou L, Zhang R, Yang H, Zhang S, Zhang Y, Li H, Chen Y, Maimaitiyiming M, Lin J, Ma Y, Wang Y, Zhou X, Liu T, Yang Q, Wang Y. Association of plant-based diets with total and cause-specific mortality across socioeconomic deprivation level: a large prospective cohort. Eur J Nutr 2024; 63:835-846. [PMID: 38194192 DOI: 10.1007/s00394-023-03317-3] [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: 07/04/2023] [Accepted: 12/22/2023] [Indexed: 01/10/2024]
Abstract
PURPOSE Current evidence on the association between plant-based diet indices (PDIs) and mortality is inconsistent. We aimed to investigate the association of PDIs with all-cause and cause-specific mortality and to examine whether such associations were modified by socioeconomic deprivation level. METHODS A total of 189,003 UK Biobank participants with at least one 24-h dietary assessment were included. All food items were categorised into three groups, including healthy plant foods, less healthy plant foods, and animal foods. Three PDIs, including the overall PDI (positive scores for all plant-based food intake and inverse scores for animal-based foods), the healthful PDI (hPDI) (positive scores only for healthy plant food intake and inverse scores for others), and the unhealthful PDI (uPDI) (positive scores only for less healthy plant food intake and inverse scores for others), were calculated according to the quantities of each food subgroup in three categories. The Townsend deprivation index was used as the indicator of socioeconomic deprivation level. Cox proportional hazard models were used to estimate the hazard ratios (HRs) of PDIs for all-cause and cause-specific mortality. The modification effects of socioeconomic deprivation levels on these associations were evaluated. RESULTS During a median follow-up of 9.6 years, 9335 deaths were documented. Compared with the lowest quintile, the highest quintile of overall PDI was associated with adjusted HRs of 0.87 (95% CI 0.81-0.93) for all-cause mortality and 0.77 (0.66-0.91) for cardiovascular mortality. Compared with the lowest quintile, the highest quintile of hPDI was associated with lower risks of all-cause mortality (0.92, 0.86-0.98), and death caused by respiratory disease (0.63, 0.47-0.86), neurological disease (0.65, 0.48-0.88), and cancer (0.90, 0.82-0.99). Compared with the lowest quintile, the highest quintile of uPDI was associated with an HR of 1.29 (1.20-1.38) for all-cause mortality, 1.95 (1.40-2.73) for neurological mortality, 1.54 (1.13-2.09) for respiratory mortality, and 1.16 (1.06-1.27) for cancer mortality. The magnitudes of associations of hPDI and uPDI with mortality were larger in the most socioeconomically deprived participants (the highest tertile) than in the less deprived ones (p-values for interaction were 0.039 and 0.001, respectively). CONCLUSIONS This study showed that having a high overall PDI and hPDI were related to a reduced risk of death, while the uPDI was linked to a higher risk of death. Sticking to a healthy plant-based diet may help decrease mortality risks across socioeconomic deprivation levels, especially for those who are the most socioeconomically deprived.
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Affiliation(s)
- Lihui Zhou
- School of Public Health, Tianjin Medical University, No. 22, Qixiangtai Road, Heping District, Tianjin, 300070, China
| | - Ran Zhang
- School of Public Health, Tianjin Medical University, No. 22, Qixiangtai Road, Heping District, Tianjin, 300070, China
| | - Hongxi Yang
- Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Shunming Zhang
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
| | - Yuan Zhang
- Raymond G. Perelman Center for Cellular and Molecular Therapeutics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Huiping Li
- School of Public Health, Tianjin Medical University, No. 22, Qixiangtai Road, Heping District, Tianjin, 300070, China
| | - Yanchun Chen
- School of Public Health, Tianjin Medical University, No. 22, Qixiangtai Road, Heping District, Tianjin, 300070, China
| | - Maiwulamujiang Maimaitiyiming
- School of Public Health, Tianjin Medical University, No. 22, Qixiangtai Road, Heping District, Tianjin, 300070, China
| | - Jing Lin
- School of Public Health, Tianjin Medical University, No. 22, Qixiangtai Road, Heping District, Tianjin, 300070, China
| | - Yue Ma
- School of Public Health, Tianjin Medical University, No. 22, Qixiangtai Road, Heping District, Tianjin, 300070, China
| | - Yuan Wang
- School of Public Health, Tianjin Medical University, No. 22, Qixiangtai Road, Heping District, Tianjin, 300070, China
| | - Xin Zhou
- Department of Cardiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Tong Liu
- Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, China
| | - Qing Yang
- Department of Cardiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Yaogang Wang
- School of Public Health, Tianjin Medical University, No. 22, Qixiangtai Road, Heping District, Tianjin, 300070, China.
- School of Integrative Medicine, Public Health Science and Engineering College, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
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Zhang X, He F, Li J, Chen R, Li X, Li L, Liu F, Wang S, Wei W. Plant-based dietary patterns and risk of esophageal cancer: A prospective cohort study spanning 17 years. Chin J Cancer Res 2024; 36:36-45. [PMID: 38455370 PMCID: PMC10915634 DOI: 10.21147/j.issn.1000-9604.2024.01.04] [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: 10/20/2023] [Accepted: 01/12/2024] [Indexed: 03/09/2024] Open
Abstract
Objective Plant-based diets have multiple health benefits for cancers; however, little is known about the association between plant-based dietary patterns and esophageal cancer (EC).This study presents an investigation of the prospective associations among three predefined indices of plant-based dietary patterns and the risk of EC. Methods We performed endoscopic screening for 15,709 participants aged 40-69 years from two high-risk areas of China from January 2005 to December 2009 and followed the cohort until December 31, 2022. The overall plant-based diet index (PDI), healthful plant-based diet index (hPDI), and unhealthful plant-based diet index (uPDI), were calculated using survey responses to assess dietary patterns. We applied Cox proportional hazard regression to estimate the multivariable hazard ratios (HRs) and 95% confidence intervals (95% CIs) of EC across 3 plant-based diet indices and further stratified the analysis by subgroups. Results The final study sample included 15,184 participants in the cohort. During a follow-up of 219,365 person-years, 176 patients with EC were identified. When the highest quartile was compared with the lowest quartile, the pooled multivariable-adjusted HR of EC was 0.50 (95% CI, 0.32-0.77) for hPDI. In addition, the HR per 10-point increase in the hPDI score was 0.42 (95% CI, 0.27-0.66) for ECs. Conversely, uPDI was positively associated with the risk of EC, and the HR was 1.80 (95% CI, 1.16-2.82). The HR per 10-point increase in the uPDI score was 1.90 (95% CI, 1.26-2.88) for ECs. The associations between these scores and the risk of EC were consistent in most subgroups. These results remained robust in sensitivity analyses. Conclusions A healthy plant-based dietary pattern was associated with a reduced risk of EC. Emphasizing the healthiness and quality of plant-based diets may be important for preventing the development of EC.
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Affiliation(s)
- Xiaorui Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China
| | - Feifan He
- National Central Cancer Registry office, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Jiayue Li
- National Central Cancer Registry office, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Ru Chen
- National Central Cancer Registry office, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Xinqing Li
- Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Li Li
- National Central Cancer Registry office, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Fen Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China
| | - Shaoming Wang
- National Central Cancer Registry office, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Wenqiang Wei
- National Central Cancer Registry office, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Sokary S, Almaghrbi H, Bawadi H. The Interaction Between Body Mass Index Genetic Risk Score and Dietary Intake on Weight Status: A Systematic Review. Diabetes Metab Syndr Obes 2024; 17:925-941. [PMID: 38435632 PMCID: PMC10908334 DOI: 10.2147/dmso.s452660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 02/15/2024] [Indexed: 03/05/2024] Open
Abstract
Background The escalating global obesity epidemic and the emergence of personalized medicine strategies point to the pressing need to investigate the interplay between genetic risk scores (GRSs), dietary intake, and their combined impact on weight status. This systematic review synthesizes evidence from diverse studies to elucidate how dietary patterns and individual foods interact with genetic predisposition to obesity. Methods Literature searches were conducted in the PubMed, Embase, Science Direct, and Scopus databases until August 2023, following PRISMA guidelines. Out of 575 articles, 15 articles examining the interaction between genetic risk score for body mass index and dietary intake on weight outcomes met the inclusion criteria. All included studies were cross-sectional in design and were assessed for quality using the Newcastle‒Ottawa Scale. Results Unhealthy dietary intake exacerbated the genetic predisposition to obesity, evident in studies assessing Western diet, sulfur microbial diet, and individual macronutrients, including saturated fatty acids, sugar-sweetened beverages and fried foods. Conversely, adhering to healthier dietary intake mitigated the genetic predisposition to obesity, as observed in studies involving Alternative Healthy Eating Index, Alternative Mediterranean Diet, Dietary Approach to Stop Hypertension scores, healthy plant-based diets, and specific foods such as fruits, vegetables, and n-3 polyunsaturated fatty acids. Conclusion This is the first systematic review to explore the interaction between genetics and dietary intake in shaping obesity outcomes. The findings have implications for tailored interventions; however, more controlled clinical trials with robust designs are needed to be able to recommend personalized nutrition based on nutrition for obesity prevention and management.
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Affiliation(s)
- Sara Sokary
- Department of Human Nutrition, College of Health Sciences, QU Health, Qatar University, Doha, Qatar
| | - Heba Almaghrbi
- Department of Biomedical Science, College of Health Sciences, QU Health, Qatar University, Doha, Qatar
| | - Hiba Bawadi
- Department of Human Nutrition, College of Health Sciences, QU Health, Qatar University, Doha, Qatar
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Navratilova HF, Lanham-New S, Whetton AD, Geifman N. Associations of Diet with Health Outcomes in the UK Biobank: A Systematic Review. Nutrients 2024; 16:523. [PMID: 38398847 PMCID: PMC10892867 DOI: 10.3390/nu16040523] [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: 01/17/2024] [Revised: 02/09/2024] [Accepted: 02/12/2024] [Indexed: 02/25/2024] Open
Abstract
The UK Biobank is a cohort study that collects data on diet, lifestyle, biomarkers, and health to examine diet-disease associations. Based on the UK Biobank, we reviewed 36 studies on diet and three health conditions: type 2 diabetes (T2DM), cardiovascular disease (CVD), and cancer. Most studies used one-time dietary data instead of repeated 24 h recalls, which may lead to measurement errors and bias in estimating diet-disease associations. We also found that most studies focused on single food groups or macronutrients, while few studies adopted a dietary pattern approach. Several studies consistently showed that eating more red and processed meat led to a higher risk of lung and colorectal cancer. The results suggest that high adherence to "healthy" dietary patterns (consuming various food types, with at least three servings/day of whole grain, fruits, and vegetables, and meat and processed meat less than twice a week) slightly lowers the risk of T2DM, CVD, and colorectal cancer. Future research should use multi-omics data and machine learning models to account for the complexity and interactions of dietary components and their effects on disease risk.
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Affiliation(s)
- Hana F. Navratilova
- School of Biosciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford GU2 7XH, UK; (H.F.N.); (S.L.-N.); (A.D.W.)
- School of Health Sciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford GU2 7YH, UK
- Department of Community Nutrition, Faculty of Human Ecology, IPB University, Bogor 16680, Indonesia
| | - Susan Lanham-New
- School of Biosciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford GU2 7XH, UK; (H.F.N.); (S.L.-N.); (A.D.W.)
| | - Anthony D. Whetton
- School of Biosciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford GU2 7XH, UK; (H.F.N.); (S.L.-N.); (A.D.W.)
- Veterinary Health Innovation Engine, School of Veterinary Medicine, University of Surrey, Guildford GU2 7XH, UK
| | - Nophar Geifman
- School of Health Sciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford GU2 7YH, UK
- Veterinary Health Innovation Engine, School of Veterinary Medicine, University of Surrey, Guildford GU2 7XH, UK
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Cai Y, Hong C, Han J, Fan L, Xiao X, Xiao J, Wei Y, Zhu Y, Tian J, Zhu X, Jin M, Miao X. Healthy dietary patterns, genetic risk, and gastrointestinal cancer incident risk: a large-scale prospective cohort study. Am J Clin Nutr 2024; 119:406-416. [PMID: 38042409 DOI: 10.1016/j.ajcnut.2023.11.015] [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: 07/14/2023] [Revised: 11/19/2023] [Accepted: 11/28/2023] [Indexed: 12/04/2023] Open
Abstract
BACKGROUND Dietary patterns have been associated with several cancers, especially gastrointestinal cancer (GIC). However, whether a healthy dietary pattern could modify the risk of GIC among people with different genetic backgrounds is not clear. OBJECTIVE The objective of the study was to investigate how dietary patterns and genetic susceptibility contribute to the risk of GIC independently and jointly. METHODS This large-scale prospective cohort study included 105,463 participants in UK Biobank who were aged 40-72 y and cancer-free at baseline. Dietary intake (Oxford WebQ) was used to calculate dietary pattern scores including dietary approach to stop hypertension (DASH) score and healthful plant-based diet index (hPDI). Genetic risk was quantified by a polygenic risk score (PRS) comprising 129 known GIC-associated loci. Cox proportional hazards regression was performed to estimate the associations of dietary patterns and PRS with GIC incidence after adjusting for potential confounders. RESULTS Over a median follow-up of 11.70 y, 1,661 participants were diagnosed with GIC. DASH and hPDI were associated with 20% and 36% reductions, respectively, in GIC risk. Low PRS was associated with a 30 % decrease in GIC risk (HR: 0.70; 95% CI: 0.62, 0.79). Participants with healthy dietary scores at high-genetic risk had a lower GIC risk with HR of 0.77 (95% CI: 0.60, 0.98) for DASH and 0.66 (95% CI: 0.52, 0.84) for hPDI than those with unhealthy dietary score. Participants with both high-dietary score and low-genetic risk showed the lowest risk of GIC, with HR of 0.58 (95% CI: 0.45, 0.75) for DASH and 0.45 (95% CI: 0.34, 0.58) for hPDI. CONCLUSIONS Adherence to DASH and hPDI were associated with a lower risk of some gastrointestinal cancers, and these 2 dietary patterns may partly compensate for genetic predispositions to cancer. Our results advance the development of precision medicine strategies that consider both dietary patterns and genetics to improve gastrointestinal health.
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Affiliation(s)
- Yimin Cai
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Canlin Hong
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, Hubei, China
| | - Jinxin Han
- Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Linyun Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, Hubei, China
| | - Xinyu Xiao
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, Hubei, China
| | - Jun Xiao
- Department of Thyroid and Breast Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yongchang Wei
- Department of Gastrointestinal Oncology, Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China
| | - Ying Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, Hubei, China
| | - Jianbo Tian
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, Hubei, China.
| | - Xu Zhu
- Department of Gastrointestinal Surgery, Renmin Hospital, Wuhan University, Wuhan, Hubei, China.
| | - Meng Jin
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
| | - Xiaoping Miao
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, Hubei, China.
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Masip G, Attar A, Nielsen DE. Plant-based dietary patterns and genetic susceptibility to obesity in the CARTaGENE cohort. Obesity (Silver Spring) 2024; 32:409-422. [PMID: 38057558 DOI: 10.1002/oby.23944] [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: 08/17/2023] [Revised: 09/29/2023] [Accepted: 10/02/2023] [Indexed: 12/08/2023]
Abstract
OBJECTIVE The study's objective was to examine whether adherence to three plant-based dietary indices (PDIs) mediated or moderated genetic susceptibility to obesity. METHODS Baseline participants were 7037 adults (57% women, aged 55.6 ± 7.7 years) from the CARTaGENE cohort of Quebec adults. Two polygenic risk scores for BMI (PRS-BMI), 92 single-nucleotide polymorphisms and 2 million single-nucleotide polymorphisms, and three plant-based scores were calculated (overall, healthy, and unhealthy). Follow-up participants were 2258 adults with data on obesity outcomes, measured 6 years later. General linear models were used to examine the relationships between PRSs and PDI scores on obesity outcomes. Causal mediation analyses were conducted to assess mediation and interaction models. RESULTS The overall- and healthy-PDIs and PRSs were significantly associated with obesity outcomes. Adherence to PDIs did not mediate or moderate genetic susceptibility to obesity. Associations between PRSs and obesity outcomes were partly mediated by meat intake cross-sectionally and whole grains intake among males both cross-sectionally and longitudinally. Higher meat intake had a positive association with obesity outcomes, whereas higher whole grains intake had an inverse association. CONCLUSIONS These findings suggest that components of a plant-based diet and a shift away from animal products, specifically meat, might be beneficial for nutrition interventions, particularly among individuals with higher genetic risk of obesity.
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Affiliation(s)
- Guiomar Masip
- School of Human Nutrition, McGill University, Sainte-Anne-de-Bellevue, Quebec, Canada
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Atheer Attar
- School of Human Nutrition, McGill University, Sainte-Anne-de-Bellevue, Quebec, Canada
- Clinical Nutrition Department, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Daiva E Nielsen
- School of Human Nutrition, McGill University, Sainte-Anne-de-Bellevue, Quebec, Canada
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Zhao Y, Chen W, Li J, Yi J, Song X, Ni Y, Zhu S, Zhang Z, Xia L, Zhang J, Yang S, Ni J, Lu H, Wang Z, Nie S, Liu L. Ultra-Processed Food Consumption and Mortality: Three Cohort Studies in the United States and United Kingdom. Am J Prev Med 2024; 66:315-323. [PMID: 37690589 DOI: 10.1016/j.amepre.2023.09.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 09/03/2023] [Accepted: 09/04/2023] [Indexed: 09/12/2023]
Abstract
INTRODUCTION Given the increase in ultra-processed food (UPF) consumption, their potential health effects have aroused concern. Whether UPF consumption is associated with cancer and cardiovascular disease mortality is debatable. This study evaluates the association of UPF consumption with mortality. METHODS A total of 108,714 U.S. adults from the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial (1993-2001), 208,051 UK adults from UK Biobank (2006-2010), and 41,070 U.S. adults from National Health and Nutrition Examination Survey (1999-2018) were included. Dietary data were collected by dietary questionnaire and classified using the NOVA classification. UPF consumption was expressed as the weight proportion of UPFs in total foods consumed. Cox proportional hazard models were used to calculate hazard ratios and 95% CIs. Mediation analysis was used to evaluate whether multiple metabolic pathways mediated the associations in UK Biobank. Analyses were performed in 2022-2023. RESULTS Combined analyses of the three cohorts showed that those with the highest quartile of UPF consumption had higher risks of all-cause mortality (hazard ratio, 1.16; 95% CI, 1.11-1.20) and cardiovascular disease mortality (hazard ratio, 1.17; 95% CI, 1.06-1.28) compared to the lowest quartile of UPF consumption. UPF consumption was not associated with cancer mortality risk. Biomarkers of liver function have the greatest mediating effects on all-cause mortality (20.3%), and biomarkers of inflammation have the greatest mediating effects on cardiovascular disease mortality (29.2%). CONCLUSIONS Higher UPF consumption was associated with increased all-cause and cardiovascular disease mortality risk, with multiple metabolic pathways playing mediating roles.
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Affiliation(s)
- Yingying Zhao
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China
| | - Weiyi Chen
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China
| | - Jia Li
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China
| | - Jing Yi
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China
| | - Xuemei Song
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China
| | - Yuxin Ni
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China
| | - Sijia Zhu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China
| | - Zhihao Zhang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China
| | - Lu Xia
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China
| | - Jia Zhang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China
| | - Shuaishuai Yang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China
| | - Jingjing Ni
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China
| | - Haojie Lu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China
| | - Zhen Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China
| | - Shaofa Nie
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China
| | - Li Liu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China.
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Domínguez-Barragán J, Fernández-Sanlés A, Hernáez Á, Llauradó-Pont J, Marrugat J, Robinson O, Tzoulaki I, Elosua R, Lassale C. Blood DNA methylation signature of diet quality and association with cardiometabolic traits. Eur J Prev Cardiol 2024; 31:191-202. [PMID: 37793095 PMCID: PMC10809172 DOI: 10.1093/eurjpc/zwad317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 09/22/2023] [Accepted: 09/24/2023] [Indexed: 10/06/2023]
Abstract
AIMS Diet quality might influence cardiometabolic health through epigenetic changes, but this has been little investigated in adults. Our aims were to identify cytosine-phosphate-guanine (CpG) dinucleotides associated with diet quality by conducting an epigenome-wide association study (EWAS) based on blood DNA methylation (DNAm) and to assess how diet-related CpGs associate with inherited susceptibility to cardiometabolic traits: body mass index (BMI), systolic blood pressure (SBP), triglycerides, type 2 diabetes (T2D), and coronary heart disease (CHD). METHODS AND RESULTS Meta-EWAS including 5274 participants in four cohorts from Spain, the USA, and the UK. We derived three dietary scores (exposures) to measure adherence to a Mediterranean diet, to a healthy plant-based diet, and to the Dietary Approaches to Stop Hypertension. Blood DNAm (outcome) was assessed with the Infinium arrays Human Methylation 450K BeadChip and MethylationEPIC BeadChip. For each diet score, we performed linear EWAS adjusted for age, sex, blood cells, smoking and technical variables, and BMI in a second set of models. We also conducted Mendelian randomization analyses to assess the potential causal relationship between diet-related CpGs and cardiometabolic traits. We found 18 differentially methylated CpGs associated with dietary scores (P < 1.08 × 10-7; Bonferroni correction), of which 12 were previously associated with cardiometabolic traits. Enrichment analysis revealed overrepresentation of diet-associated genes in pathways involved in inflammation and cardiovascular disease. Mendelian randomization analyses suggested that genetically determined methylation levels corresponding to lower diet quality at cg02079413 (SNORA54), cg02107842 (MAST4), and cg23761815 (SLC29A3) were causally associated with higher BMI and at cg05399785 (WDR8) with greater SBP, and methylation levels associated with higher diet quality at cg00711496 (PRMT1) with lower BMI, T2D risk, and CHD risk and at cg0557921 (AHRR) with lower CHD risk. CONCLUSION Diet quality in adults was related to differential methylation in blood at 18 CpGs, some of which related to cardiometabolic health.
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Affiliation(s)
- Jorge Domínguez-Barragán
- Hospital del Mar Research Institute (IMIM), Programme of Epidemiology and Public Health, Dr Aiguader, 88, 08003 Barcelona, Spain
| | - Alba Fernández-Sanlés
- MRC Unit for Lifelong Health and Ageing, University College London, London WC1E 7HB, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2BN, UK
| | - Álvaro Hernáez
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo 0463, Norway
- Blanquerna School of Health Sciences, Universitat Ramon Llull, 08025 Barcelona, Spain
- Consortium for Biomedical Research—Pathophysiology of Obesity and Nutrition (CIBEROBN), Instituto de Salud Carlos III, Monforte de Lemos 3-5, 08029 Madrid, Spain
| | - Joana Llauradó-Pont
- Barcelona Institute of Global Health (ISGlobal), Dr Aiguader 88, 08003, Barcelona, Spain
| | - Jaume Marrugat
- Hospital del Mar Research Institute (IMIM), Programme of Epidemiology and Public Health, Dr Aiguader, 88, 08003 Barcelona, Spain
- Consortium for Biomedical Research—Cardiovascular Diseases (CIBERCV), Instituto de Salud Carlos III, Madrid, Spain
| | - Oliver Robinson
- μedical Research Council Centre for Environment and Health, School of Public Health, Imperial College London, London W2 1PG, UK
| | - Ioanna Tzoulaki
- Centre for Systems Biology, Biomedical Research Foundation of the Academy of Athens, 115 27 Athens, Greece
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1PG, UK
| | - Roberto Elosua
- Hospital del Mar Research Institute (IMIM), Programme of Epidemiology and Public Health, Dr Aiguader, 88, 08003 Barcelona, Spain
- Consortium for Biomedical Research—Cardiovascular Diseases (CIBERCV), Instituto de Salud Carlos III, Madrid, Spain
- Faculty of Medicine, University of Vic—Central University of Catalunya, Ctra. de Roda, 70, 08500 Vic, Spain
| | - Camille Lassale
- Hospital del Mar Research Institute (IMIM), Programme of Epidemiology and Public Health, Dr Aiguader, 88, 08003 Barcelona, Spain
- Consortium for Biomedical Research—Pathophysiology of Obesity and Nutrition (CIBEROBN), Instituto de Salud Carlos III, Monforte de Lemos 3-5, 08029 Madrid, Spain
- Barcelona Institute of Global Health (ISGlobal), Dr Aiguader 88, 08003, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Dr Aiguader 88, 08003, Barcelona, Spain
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Zheng Y, Gao N, Li Y, Fan M, Tian W, Jiang Y, Wang Y, Cui M, Suo C, Zhang T, Jin L, Xu K, Chen X. Unraveling the role of serum metabolites in the relationship between plant-based diets and bone health in community-dwelling older adults. Curr Res Food Sci 2024; 8:100687. [PMID: 38318314 PMCID: PMC10839558 DOI: 10.1016/j.crfs.2024.100687] [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: 12/20/2023] [Revised: 01/20/2024] [Accepted: 01/22/2024] [Indexed: 02/07/2024] Open
Abstract
The potential adverse effects of the plant-based dietary pattern on bone health have received widespread attention. However, the biological mechanisms underlying the adverse effects of plant-based diets on bone health remain incompletely understood. The objective of this study was to identify potential biomarkers between plant-based diets and bone loss utilizing metabolomic techniques in the Taizhou Imaging Study (TIS) (N = 788). Plant-based diet indexes (overall plant-based diet index (PDI), healthy plant-based diet index (hPDI), and unhealthy plant-based diet index (uPDI)) were calculated using the food frequency questionnaire, and bone mineral density (BMD) was measured using dual-energy X-ray absorptiometry. A multinomial logistic regression was used to explore the associations of plant-based diet indexes with bone loss. Furthermore, mediation analysis and exploratory factor analysis (EFA) were performed to explore the mediated effects of metabolites on the association of plant-based diets with BMD T-score. Our results showed that higher hPDI and uPDI were positively associated with bone loss. Moreover, nineteen metabolites were significantly associated with BMD T-score, among them, seven metabolites were associated with uPDI. Except for cholesterol esters in VLDL-1, the remaining six metabolites significantly mediated the negative association between uPDI and BMD T-score. Interestingly, we observed that the same six metabolites mediated the positive association between fresh fruit and BMD T-score. Collectively, our results support the deleterious effects of plant-based diets on bone health and discover the potential mediation effect of metabolites on the association of plant-based diets with bone loss. The findings offer valuable insights that could optimize dietary recommendations and interventions, contributing to alleviate the potential adverse effects associated with plant-based diets.
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Affiliation(s)
- Yi Zheng
- State Key Laboratory of Genetic Engineering, Zhangjiang Fudan International Innovation Center, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China
| | - Ningxin Gao
- Department of Biostatistics, School of Public Health, The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
| | - Yucan Li
- State Key Laboratory of Genetic Engineering, Zhangjiang Fudan International Innovation Center, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China
| | - Min Fan
- Taixing Disease Control and Prevention Center, Taizhou, Jiangsu, China
| | - Weizhong Tian
- Taizhou People's Hospital Affiliated to Nantong University, Taizhou, Jiangsu, China
| | - Yanfeng Jiang
- State Key Laboratory of Genetic Engineering, Zhangjiang Fudan International Innovation Center, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Yingzhe Wang
- State Key Laboratory of Genetic Engineering, Zhangjiang Fudan International Innovation Center, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Mei Cui
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Chen Suo
- Department of Biostatistics, School of Public Health, The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Tiejun Zhang
- Department of Biostatistics, School of Public Health, The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Li Jin
- State Key Laboratory of Genetic Engineering, Zhangjiang Fudan International Innovation Center, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Kelin Xu
- Department of Biostatistics, School of Public Health, The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Xingdong Chen
- State Key Laboratory of Genetic Engineering, Zhangjiang Fudan International Innovation Center, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
- National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
- Yiwu Research Institute of Fudan University, Yiwu, Zhejiang, China
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Thompson AS, Candussi CJ, Tresserra-Rimbau A, Jennings A, Bondonno NP, Hill C, Sowah SA, Cassidy A, Kühn T. A healthful plant-based diet is associated with lower type 2 diabetes risk via improved metabolic state and organ function: A prospective cohort study. DIABETES & METABOLISM 2024; 50:101499. [PMID: 38036055 DOI: 10.1016/j.diabet.2023.101499] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 11/15/2023] [Accepted: 11/21/2023] [Indexed: 12/02/2023]
Abstract
BACKGROUND Plant-based diets are becoming increasingly popular due to favourable environmental footprints and have been associated with lower risk of type 2 diabetes mellitus (T2DM). Here, we investigated the potential mechanisms to explain the lower T2DM risk observed among individuals following plant-based diets. METHODS Prospective data from the UK Biobank, a cohort study of participants aged 40 to 69 years at baseline, was evaluated. Associations between healthful and unhealthful plant-based indices (hPDI and uPDI) and T2DM risk were analysed by multivariable Cox regression models, followed by causal mediation analyses to investigate which cardiometabolic risk factors explained the observed associations. RESULTS Of 113,097 study participants 2,628 developed T2DM over 12 years of follow-up. Participants with the highest hPDI scores (Quartile 4) had a 24 % lower T2DM risk compared to those with the lowest scores (Quartile 1) [Hazard Ratio (HR): 0.76, 95 % Confidence Interval (CI): 0.68-0.85]. This association was mediated by a lower BMI (proportion mediated: 28 %), lower waist circumference (28 %), and lower concentrations of HBA1c (11 %), triglycerides (9 %), alanine aminotransferase (5 %), gamma glutamyl transferase (4 %), C-reactive protein (4 %), insulin-like growth factor 1 (4 %), cystatin C (4 %) and urate (4 %). Higher uPDI scores were associated with a 37 % higher T2DM risk [HR: 1.37, 95 % CI:1.22- 1.53], with higher waist circumference (proportion mediated: 17 %), BMI (7 %), and higher concentrations of triglycerides (13 %) potentially playing mediating roles. CONCLUSION Healthful plant-based diets may protect against T2DM via lower body fatness, but also via normoglycaemia, lower basal inflammation as well as improved kidney and liver function.
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Affiliation(s)
- Alysha S Thompson
- The Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Northern Ireland, United Kingdom
| | - Catharina J Candussi
- Department of Nutritional Sciences, University of Vienna, Vienna, Austria; Center for Public Health, Medical University of Vienna, Vienna, Austria
| | - Anna Tresserra-Rimbau
- The Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Northern Ireland, United Kingdom; Department of Nutrition, Food Science and Gastronomy, XIA, School of Pharmacy and Food Sciences, INSA, University of Barcelona, 08921 Barcelona, Spain; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
| | - Amy Jennings
- The Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Northern Ireland, United Kingdom
| | - Nicola P Bondonno
- The Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Northern Ireland, United Kingdom; Danish Cancer Institute, Copenhagen, Denmark; Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
| | - Claire Hill
- Centre for Public Health, Queen's University Belfast, Belfast, United Kingdom
| | - Solomon A Sowah
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Aedín Cassidy
- The Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Northern Ireland, United Kingdom.
| | - Tilman Kühn
- The Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Northern Ireland, United Kingdom; Department of Nutritional Sciences, University of Vienna, Vienna, Austria; Center for Public Health, Medical University of Vienna, Vienna, Austria.
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Tresserra-Rimbau A, Thompson AS, Bondonno N, Jennings A, Kühn T, Cassidy A. Plant-Based Dietary Patterns and Parkinson's Disease: A Prospective Analysis of the UK Biobank. Mov Disord 2023; 38:1994-2004. [PMID: 37602951 DOI: 10.1002/mds.29580] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 07/24/2023] [Accepted: 07/27/2023] [Indexed: 08/22/2023] Open
Abstract
BACKGROUND Plant-based diets have been associated with a lower risk of several chronic diseases, but the relationship with PD is unknown. OBJECTIVES We examined the association of three different plant-based diets with PD incidence in the UK Biobank cohort. METHODS We conducted a prospective study among 126,283 participants from the UK Biobank cohort. Three plant-based diet indices (overall plant-based diet index, PDI; healthful plant-based diet index, hPDI; and unhealthful plant-based diet index, uPDI) were derived from 24-hour dietary recalls based on 17 food groups. Multivariable Cox regression models were used to estimate the risk of PD across quartiles of the PDIs and for each of the food groups that constituted the score. Further analyses were carried out to assess potential heterogeneity in associations between hPDI and PD across strata of some hypothesized effect modifiers. RESULTS During 11.8 years of follow-up (1,490,139 person-years), 577 cases of PD incidence were reported. After multivariable adjustment, participants in the highest hPDI and overall PDI quartile had lower risk of PD (22% and 18%, respectively), whereas a higher uPDI was associated with a 38% higher PD risk. In food-based analyses, higher intakes of vegetables, nuts, and tea were associated with a lower risk of PD (28%, 31% and 25%, respectively). Stratifying by Polygenic Risk Score (PRS), results were significant only for those with a lower PRS for PD. CONCLUSIONS Following a healthful plant-based diet and in particular the inclusion of readily achievable intakes of vegetables, nuts and tea in the habitual diet are associated with a lower risk of PD. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Anna Tresserra-Rimbau
- The Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast, United Kingdom
- Department of Nutrition, Food Science and Gastronomy, XIA, School of Pharmacy and Food Sciences, INSA, University of Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - Alysha S Thompson
- The Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast, United Kingdom
| | - Nicola Bondonno
- The Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast, United Kingdom
- Danish Cancer Society Research Centre (DCRC), Copenhagen, Denmark
- Nutrition & Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
| | - Amy Jennings
- The Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast, United Kingdom
| | - Tilman Kühn
- The Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast, United Kingdom
- Heidelberg Institute of Global Health (HIGH), Faculty of Medicine and University Hospital, Heidelberg, Germany
- University of Vienna, Department of Nutritional Sciences, Vienna, Austria
- Medical University of Vienna, Centre for Public Health, Vienna, Austria
| | - Aedín Cassidy
- The Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast, United Kingdom
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Acosta PFC, Landon OA, Ribau ZJ, Haines J, Ma DWL, Duncan AM. Plant-Based Dietary Indices in Relation to Nutrient and Food Group Intakes in Preschool-Aged Children. Nutrients 2023; 15:4617. [PMID: 37960273 PMCID: PMC10647719 DOI: 10.3390/nu15214617] [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: 10/02/2023] [Revised: 10/23/2023] [Accepted: 10/24/2023] [Indexed: 11/15/2023] Open
Abstract
Dietary guidance promotes plant-based foods, yet minimal research has examined intake in children. This study examined plant-based food intake in preschool-aged children using plant-based dietary index (PDI) metrics and related these metrics to nutrient and food group intakes. Dietary data were collected from preschool-aged children (n = 283, 3.45 ± 1.22 years) from the Guelph Family Health Study at baseline using the Automated Self-Administered 24-Hour Dietary Assessment Tool. Food intake servings were assigned to 16 food groups for calculation of overall PDI (oPDI), healthful PDI (hPDI), and less healthful (lhPDI) scores and summarized into tertiles for energy-adjusted comparisons. For oPDI, participants in the highest vs. lowest tertile had higher intakes of nutrients and food groups to encourage (e.g., dietary fiber, fruits) as well as lower intakes of nutrients to encourage (e.g., calcium, vitamin D). For hPDI, participants in the highest vs. lowest tertile had higher intakes of nutrients and food groups to encourage and lower intakes of those to limit (e.g., saturated fat, sweets and desserts). For lhPDI, participants in the highest vs. lowest tertile had higher intakes of nutrients and food groups to limit and lower intakes of those to encourage. These results can inform dietetic practice for dietary guidance that promotes plant-based foods in children.
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Affiliation(s)
- Patricia F. C. Acosta
- Department of Human Health and Nutritional Sciences, University of Guelph, Guelph, ON N1G 2W1, Canada; (P.F.C.A.)
| | - Olivia A. Landon
- Department of Human Health and Nutritional Sciences, University of Guelph, Guelph, ON N1G 2W1, Canada; (P.F.C.A.)
| | - Zachary J. Ribau
- Department of Human Health and Nutritional Sciences, University of Guelph, Guelph, ON N1G 2W1, Canada; (P.F.C.A.)
| | - Jess Haines
- Department of Family Relations and Applied Nutrition, University of Guelph, Guelph, ON N1G 2W1, Canada
| | - David W. L. Ma
- Department of Human Health and Nutritional Sciences, University of Guelph, Guelph, ON N1G 2W1, Canada; (P.F.C.A.)
| | - Alison M. Duncan
- Department of Human Health and Nutritional Sciences, University of Guelph, Guelph, ON N1G 2W1, Canada; (P.F.C.A.)
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Shang X, Liu J, Zhu Z, Zhang X, Huang Y, Liu S, Wang W, Zhang X, Tang S, Hu Y, Yu H, Ge Z, He M. Healthy dietary patterns and the risk of individual chronic diseases in community-dwelling adults. Nat Commun 2023; 14:6704. [PMID: 37872218 PMCID: PMC10593819 DOI: 10.1038/s41467-023-42523-9] [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: 06/13/2023] [Accepted: 10/13/2023] [Indexed: 10/25/2023] Open
Abstract
It is unclear regarding associations of dietary patterns with a wide range of chronic diseases and which dietary score is more predictive of major chronic diseases. Using the UK Biobank, we examine associations of four individual healthy dietary scores with the risk of 48 individual chronic diseases. Higher Alternate Mediterranean Diet score is associated with a lower risk of 32 (all 8 cardiometabolic disorders, 3 out of 10 types of cancers, 7 out of 10 psychological/neurological disorders, 5 out of 6 digestive disorders, and 9 out of 14 other chronic diseases). Alternate Healthy Eating Index-2010 and Healthful Plant-based Diet Index are inversely associated with the risk of 29 and 23 individual chronic diseases, respectively. A higher Anti-Empirical Dietary Inflammatory Index is associated with a lower risk of 14 individual chronic diseases and a higher incidence of two diseases. Our findings support dietary guidelines for the prevention of most chronic diseases.
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Affiliation(s)
- Xianwen Shang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
- Centre for Eye Research Australia, Melbourne, VIC, 3002, Australia.
- Department of Medicine (Royal Melbourne Hospital), University of Melbourne, Melbourne, VIC, 3050, Australia.
| | - Jiahao Liu
- Centre for Eye Research Australia, Melbourne, VIC, 3002, Australia
| | - Zhuoting Zhu
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
- Centre for Eye Research Australia, Melbourne, VIC, 3002, Australia
| | - Xueli Zhang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
- Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Yu Huang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Shunming Liu
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Wei Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, 510060, China
| | - Xiayin Zhang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Shulin Tang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Yijun Hu
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Honghua Yu
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
| | - Zongyuan Ge
- Monash e-Research Center, Faculty of Engineering, Airdoc Research, Nvidia AI Technology Research Center, Monash University, Melbourne, VIC, 3800, Australia
| | - Mingguang He
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
- Centre for Eye Research Australia, Melbourne, VIC, 3002, Australia.
- School of Optometry, The Hong Kong Polytechnic University, Hong Kong, China.
- Research Centre for SHARP Vision, The Hong Kong Polytechnic University, Hong Kong, China.
- Centre for Eye and Vision Research (CEVR), Hong Kong, China.
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Zhang K, Ma Y, Luo Y, Song Y, Xiong G, Ma Y, Sun X, Kan C. Metabolic diseases and healthy aging: identifying environmental and behavioral risk factors and promoting public health. Front Public Health 2023; 11:1253506. [PMID: 37900047 PMCID: PMC10603303 DOI: 10.3389/fpubh.2023.1253506] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 10/03/2023] [Indexed: 10/31/2023] Open
Abstract
Aging is a progressive and irreversible pathophysiological process that manifests as the decline in tissue and cellular functions, along with a significant increase in the risk of various aging-related diseases, including metabolic diseases. While advances in modern medicine have significantly promoted human health and extended human lifespan, metabolic diseases such as obesity and type 2 diabetes among the older adults pose a major challenge to global public health as societies age. Therefore, understanding the complex interaction between risk factors and metabolic diseases is crucial for promoting well-being and healthy aging. This review article explores the environmental and behavioral risk factors associated with metabolic diseases and their impact on healthy aging. The environment, including an obesogenic environment and exposure to environmental toxins, is strongly correlated with the rising prevalence of obesity and its comorbidities. Behavioral factors, such as diet, physical activity, smoking, alcohol consumption, and sleep patterns, significantly influence the risk of metabolic diseases throughout aging. Public health interventions targeting modifiable risk factors can effectively promote healthier lifestyles and prevent metabolic diseases. Collaboration between government agencies, healthcare providers and community organizations is essential for implementing these interventions and creating supportive environments that foster healthy aging.
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Affiliation(s)
- Kexin Zhang
- Department of Endocrinology and Metabolism, Affiliated Hospital of Weifang Medical University, School of Clinical Medicine, Weifang Medical University, Weifang, China
- Clinical Research Center, Affiliated Hospital of Weifang Medical University, Weifang, China
| | - Yujie Ma
- Department of Pathophysiology, School of Basic Medical Sciences, Weifang Medical University, Weifang, China
| | - Youhong Luo
- Department of Endocrinology and Metabolism, Affiliated Hospital of Weifang Medical University, School of Clinical Medicine, Weifang Medical University, Weifang, China
- Clinical Research Center, Affiliated Hospital of Weifang Medical University, Weifang, China
| | - Yixin Song
- Department of Endocrinology and Metabolism, Affiliated Hospital of Weifang Medical University, School of Clinical Medicine, Weifang Medical University, Weifang, China
- Clinical Research Center, Affiliated Hospital of Weifang Medical University, Weifang, China
| | - Guoji Xiong
- Department of Endocrinology and Metabolism, Affiliated Hospital of Weifang Medical University, School of Clinical Medicine, Weifang Medical University, Weifang, China
- Clinical Research Center, Affiliated Hospital of Weifang Medical University, Weifang, China
| | - Yanhui Ma
- Department of Pathology, Affiliated Hospital of Weifang Medical University, Weifang, China
| | - Xiaodong Sun
- Department of Endocrinology and Metabolism, Affiliated Hospital of Weifang Medical University, School of Clinical Medicine, Weifang Medical University, Weifang, China
- Clinical Research Center, Affiliated Hospital of Weifang Medical University, Weifang, China
| | - Chengxia Kan
- Department of Endocrinology and Metabolism, Affiliated Hospital of Weifang Medical University, School of Clinical Medicine, Weifang Medical University, Weifang, China
- Clinical Research Center, Affiliated Hospital of Weifang Medical University, Weifang, China
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Viljakainen H, Sorlí JV, Dahlström E, Agrawal N, Portolés O, Corella D. Interaction between genetic susceptibility to obesity and food intake on BMI in Finnish school-aged children. Sci Rep 2023; 13:15265. [PMID: 37709841 PMCID: PMC10502078 DOI: 10.1038/s41598-023-42430-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Accepted: 09/10/2023] [Indexed: 09/16/2023] Open
Abstract
Diet modulates the genetic risk of obesity, but the modulation has been rarely studied using genetic risk scores (GRSs) in children. Our objectives were to identify single nucleotide polymorphisms (SNPs) that drive the interaction of specific foods with obesity and combine these into GRSs. Genetic and food frequency data from Finnish Health in Teens study was utilized. In total, 1142 11-year-old subjects were genotyped on the Metabochip array. BMI-GRS with 30 well-known SNPs was computed and the interaction of individual SNPs with food items and their summary dietary scores were examined in relation to age- and sex-specific BMI z-score (BMIz). The whole BMI-GRS interacted with several foods on BMIz. We identified 7-11 SNPs responsible for each interaction and these were combined into food-specific GRS. The most predominant interaction was witnessed for pizza (p < 0.001): the effect on BMIz was b - 0.130 (95% CI - 0.23; - 0.031) in those with low-risk, and 0.153 (95% CI 0.072; 0.234) in high-risk. Corresponding, but weaker interactions were verified for sweets and chocolate, sugary juice drink, and hamburger and hotdog. In total 5 SNPs close to genes NEGR1, SEC16B, TMEM18, GNPDA2, and FTO were shared between these interactions. Our results suggested that children genetically prone to obesity showed a stronger association of unhealthy foods with BMIz than those with lower genetic susceptibility. Shared SNPs of the interactions suggest common differences in metabolic gene-diet interactions, which warrants further investigation.
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Affiliation(s)
- Heli Viljakainen
- Folkhälsan Research Center, Topeliuksenkatu 20, 00250, Helsinki, Finland.
- Faculty of Medicine, University of Helsinki, Helsinki, Finland.
| | - Jose V Sorlí
- Department of Preventive Medicine and Public Health, University of Valencia, Valencia, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición, Madrid, Spain
| | - Emma Dahlström
- Folkhälsan Research Center, Topeliuksenkatu 20, 00250, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, 00290, Helsinki, Finland
- Department of Nephrology, University of Helsinki and Helsinki University Hospital, 00290, Helsinki, Finland
| | - Nitin Agrawal
- Folkhälsan Research Center, Topeliuksenkatu 20, 00250, Helsinki, Finland
- Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Olga Portolés
- Department of Preventive Medicine and Public Health, University of Valencia, Valencia, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición, Madrid, Spain
| | - Dolores Corella
- Department of Preventive Medicine and Public Health, University of Valencia, Valencia, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición, Madrid, Spain
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Huang Y, Li X, Zhang T, Zeng X, Li M, Li H, Yang H, Zhang C, Zhou Z, Zhu Y, Tang M, Zhang Z, Yang W. Associations of healthful and unhealthful plant-based diets with plasma markers of cardiometabolic risk. Eur J Nutr 2023; 62:2567-2579. [PMID: 37199769 DOI: 10.1007/s00394-023-03170-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 05/04/2023] [Indexed: 05/19/2023]
Abstract
PURPOSE Plant-based diets, particularly when rich in healthy plant foods, have been associated with a lower risk of type 2 diabetes and cardiovascular disease. However, the impact of plant-based diets that distinguish between healthy and unhealthy plant foods on cardiometabolic biomarkers remains unclear. METHODS Dietary information was collected by two 24-h recalls among 34,785 adults from a nationwide cross-sectional study. Plasma levels of insulin, C-peptide, glucose, C-reactive protein (CRP), white blood cell (WBC) count, triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C) were measured. Linear regression was used to evaluate the percentage difference in plasma marker concentrations by three plant-based diet indices, namely the overall plant-based diet index (PDI), the healthful PDI (hPDI), and the unhealthful PDI (uPDI). RESULTS Greater hPDI-adherence scores (comparing extreme quartiles) were associated with lower levels of insulin, Homeostatic Model Assessment of Insulin Resistance (HOMA-IR), TG/HDL-C ratio, CRP, WBC count, and TG, and higher levels of HDL-C, with the percentage differences of - 14.55, - 15.72, - 11.57, - 14.95, - 5.26, - 7.10, and 5.01, respectively (all Ptrend ≤ 0.001). Conversely, uPDI was associated with higher levels of insulin, C-peptide, HOMA-IR, TG/HDL-C ratio, CRP, WBC count, and TG, but lower HDL-C, with the percentage differences of 13.71, 14.00, 14.10, 10.43, 3.32, 8.00, and - 4.98 (all Ptrend ≤ 0.001), respectively. Overall PDI was only associated with lower levels of CRP and WBC count (all Ptrend ≤ 0.001). CONCLUSION Our findings suggest that hPDI may have positive, whereas uPDI may have negative impacts on multiple cardiometabolic risk markers, and underscore the need to consider the quality of plant foods in future PDI studies.
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Affiliation(s)
- Yong Huang
- Department of Nutrition, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, Hefei, Anhui, China
- NHC Key Laboratory of Study On Abnormal Gametes and Reproductive Tract, Hefei, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics/Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, Hefei, Anhui, China
| | - Xiude Li
- Department of Nutrition, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics/Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, Hefei, Anhui, China
- Anhui Provincial Institute of Translational Medicine, Hefei, Anhui, China
| | - Tengfei Zhang
- Department of Nutrition, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Xueke Zeng
- Department of Nutrition, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Meiling Li
- Department of Nutrition, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Haowei Li
- Department of Nutrition, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Hu Yang
- Department of Nutrition, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Chenghao Zhang
- Department of Nutrition, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Zhihao Zhou
- Department of Nutrition, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Yu Zhu
- Department of Nutrition, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Min Tang
- Department of Gastroenterology and Hepatology and Clinical Nutrition, The Fourth Affiliated Hospital of Anhui Medical University, Hefei, 230000, Anhui, China
| | - Zhuang Zhang
- Department of Nutrition, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Wanshui Yang
- Department of Nutrition, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, Hefei, Anhui, China.
- NHC Key Laboratory of Study On Abnormal Gametes and Reproductive Tract, Hefei, Anhui, China.
- Anhui Provincial Key Laboratory of Population Health and Aristogenics/Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, Hefei, Anhui, China.
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Shaji A, Jayasri MA. A review of the role of liposome-encapsulated phytochemicals targeting PPAR Ɣ and associated pathways to combat obesity. 3 Biotech 2023; 13:313. [PMID: 37636999 PMCID: PMC10449732 DOI: 10.1007/s13205-023-03740-7] [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: 04/03/2023] [Accepted: 08/09/2023] [Indexed: 08/29/2023] Open
Abstract
A limited number of studies have directly examined the effects of liposomal encapsulated phytochemicals and their anti-obesity effects in adults. This study aimed to summarize the evidence on the effect of liposomal encapsulated phytochemicals and their role in regulating major pathways involved in the anti-obesity mechanism. A systematic search was performed using several search engines like Science Direct, Google Scholar, and other online journals, focusing on laboratory research, systematic reviews, clinical trials, and meta-analysis that focused on liposomal encapsulated phytochemicals with anti-obesity properties, and followed the preferred reporting terms for this systematic review. An initial search provided a result of 1810 articles, and 93 papers were selected after the inclusion and exclusion criteria. Very few studies have been conducted on the liposomal encapsulation of phytochemicals or its synergistic study to combat obesity; hence this review paves the way for future obesity research and is mainly helpful for the pediatric obesity population. Liposomal encapsulation of phytochemicals has improved the efficiency of freely administered phytochemicals. Targeted delivery improved drug utilization and regulated the anti-obesity pathways. PPARƔ is a major therapeutic target for obesity as it inhibits adipocyte differentiation and maintains energy homeostasis.
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Affiliation(s)
- Athira Shaji
- Marine Biotechnology and Bioproducts Laboratory, Department of Biomedical Sciences, School of Biosciences and Technology, Vellore Institute of Technology, Vellore, 632014 Tamil Nadu India
| | - M. A. Jayasri
- Marine Biotechnology and Bioproducts Laboratory, Department of Biomedical Sciences, School of Biosciences and Technology, Vellore Institute of Technology, Vellore, 632014 Tamil Nadu India
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Gholami F, Samadi M, Rasaei N, Yekaninejad MS, Keshavarz SA, Javdan G, Shiraseb F, Bahrampour N, Mirzaei K. Interactions Between Genetic Risk Score and Healthy Plant Diet Index on Cardiometabolic Risk Factors Among Obese and Overweight Women. Clin Nutr Res 2023; 12:199-217. [PMID: 37593209 PMCID: PMC10432161 DOI: 10.7762/cnr.2023.12.3.199] [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: 05/09/2023] [Revised: 07/30/2023] [Accepted: 07/31/2023] [Indexed: 08/19/2023] Open
Abstract
People with higher genetic predisposition to obesity are more susceptible to cardiovascular diseases (CVDs) and healthy plant-based foods may be associated with reduced risks of obesity and other metabolic markers. We investigated whether healthy plant-foods-rich dietary patterns might have inverse associations with cardiometabolic risk factors in participants at genetically elevated risk of obesity. For this cross-sectional study, 377 obese and overweight women were chosen from health centers in Tehran, Iran. We calculated a healthy plant-based diet index (h-PDI) in which healthy plant foods received positive scores, and unhealthy plant and animal foods received reversed scores. A genetic risk score (GRS) was developed based on 3 polymorphisms. The interaction between GRS and h-PDI on cardiometabolic traits was analyzed using a generalized linear model (GLM). We found significant interactions between GRS and h-PDI on body mass index (BMI) (p = 0.02), body fat mass (p = 0.04), and waist circumference (p = 0.056). There were significant gene-diet interactions for healthful plant-derived diets and BMI-GRS on high-sensitivity C-reactive protein (p = 0.03), aspartate aminotransferase (p = 0.04), alanine transaminase (p = 0.05), insulin (p = 0.04), and plasminogen activator inhibitor 1 (p = 0.002). Adherence to h-PDI was more strongly related to decreased levels of the aforementioned markers among participants in the second or top tertile of GRS than those with low GRS. These results highlight that following a plant-based dietary pattern considering genetics appears to be a protective factor against the risks of cardiometabolic abnormalities.
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Affiliation(s)
- Fatemeh Gholami
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran 14155-6117, Iran
| | - Mahsa Samadi
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran 14155-6117, Iran
| | - Niloufar Rasaei
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran 14155-6117, Iran
| | - Mir Saeid Yekaninejad
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences (TUMS), Tehran 14155-6117, Iran
| | - Seyed Ali Keshavarz
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran 14155-6117, Iran
| | - Gholamali Javdan
- Food Health Research Center, Hormozgan University of Medical Sciences, Bandar ‘Abbas 79166-13885, Iran
| | - Farideh Shiraseb
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran 14155-6117, Iran
| | - Niki Bahrampour
- Department of Nutrition, Science and Research Branch, Islamic Azad University (SRBIAU), Tehran 14778-93855, Iran
| | - Khadijeh Mirzaei
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran 14155-6117, Iran
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Lin K, McCormick N, Yokose C, Joshi AD, Lu N, Curhan GC, Merriman TR, Saag KG, Ridker PM, Buring JE, Chasman DI, Hu FB, Choi HK. Interactions Between Genetic Risk and Diet Influencing Risk of Incident Female Gout: Discovery and Replication Analysis of Four Prospective Cohorts. Arthritis Rheumatol 2023; 75:1028-1038. [PMID: 36512683 PMCID: PMC10238565 DOI: 10.1002/art.42419] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2022] [Revised: 11/08/2022] [Accepted: 12/08/2022] [Indexed: 12/15/2022]
Abstract
OBJECTIVE To examine whether the cross-sectional gene-diet interaction for prevalent hyperuricemia among women translates prospectively to risk of incident female gout. METHODS We analyzed the interaction between genetic predisposition and adherence to a healthy dietary pattern (i.e., Dietary Approaches to Stop Hypertension [DASH] score) on risk of incident female gout in 18,244 women from Nurses' Health Study (NHS; discovery) and 136,786 women from 3 additional prospective female cohorts from the US and UK (replication). Genetic risk score (GRS) was calculated from 114 urate-associated loci. RESULTS In the NHS and replication cohorts, association between diet and gout risk was larger and stronger among women with higher genetic risk. In all cohorts combined, compared to women with an unhealthy DASH score (less than the mean score), multivariable relative risk (RR) for incident gout among women with a healthy DASH score (greater than/equal to the mean score) was 0.67 (95% confidence interval [95% CI] 0.60-0.76) among higher GRS (greater than/equal to the mean score) and 0.91 (0.78-1.05) among lower GRS (P for multiplicative interaction = 0.001); multivariable RR for higher versus lower GRS was 2.03 (95% CI 1.80-2.29) and 1.50 (95% CI 1.31-1.71) among unhealthy and healthy DASH score groups, respectively. Additive interaction was also significant, in both the discovery and replication cohorts (P < 0.001), with 51% of the excess risk attributable to the additive gene-diet interaction in all cohorts combined. CONCLUSION The deleterious effect of genetic predisposition on risk of incident female gout was more pronounced among women with unhealthy diets, with nearly half the excess risk attributable to this gene-diet interaction. These data elucidate the important synergy of genetics and diet for female gout development.
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Affiliation(s)
- Kehuan Lin
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Clinical Epidemiology Program, Division of Rheumatology, Allergy and Immunology, Massachusetts General Hospital, Boston, MA, USA
- The Mongan Institute, Massachusetts General Hospital, Boston, MA, USA
| | - Natalie McCormick
- Clinical Epidemiology Program, Division of Rheumatology, Allergy and Immunology, Massachusetts General Hospital, Boston, MA, USA
- The Mongan Institute, Massachusetts General Hospital, Boston, MA, USA
- Arthritis Research Canada, Vancouver, British Columbia, Canada
- Medicine, Harvard Medical School, Boston, MA, USA
| | - Chio Yokose
- Clinical Epidemiology Program, Division of Rheumatology, Allergy and Immunology, Massachusetts General Hospital, Boston, MA, USA
- The Mongan Institute, Massachusetts General Hospital, Boston, MA, USA
- Medicine, Harvard Medical School, Boston, MA, USA
| | - Amit D. Joshi
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Na Lu
- Arthritis Research Canada, Vancouver, British Columbia, Canada
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Gary C. Curhan
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Renal Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Tony R. Merriman
- Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, AL, USA
- Department of Biochemistry, University of Otago, Dunedin, New Zealand
| | - Kenneth G. Saag
- Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Paul M. Ridker
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Julie E. Buring
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Daniel I. Chasman
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Frank B. Hu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Hyon K Choi
- Clinical Epidemiology Program, Division of Rheumatology, Allergy and Immunology, Massachusetts General Hospital, Boston, MA, USA
- The Mongan Institute, Massachusetts General Hospital, Boston, MA, USA
- Arthritis Research Canada, Vancouver, British Columbia, Canada
- Medicine, Harvard Medical School, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
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Zhang J, Cao X, Li X, Li X, Hao M, Xia Y, Huang H, Jørgensen TSH, Agogo GO, Wang L, Zhang X, Gao X, Liu Z. Associations of Midlife Dietary Patterns with Incident Dementia and Brain Structure: Findings from the UK Biobank Study. Am J Clin Nutr 2023:S0002-9165(23)48900-9. [PMID: 37150507 DOI: 10.1016/j.ajcnut.2023.05.007] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Revised: 04/28/2023] [Accepted: 05/02/2023] [Indexed: 05/09/2023] Open
Abstract
BACKGROUND At present, the results on the associations between dietary patterns and the risk of dementia are inconsistent, and studies on the associations between dietary patterns and brain structures are limited. OBJECTIVE We aimed to investigate the associations of midlife dietary patterns with incident dementia and brain structures. METHODS Based on the UK Biobank Study, we investigated the 1) prospective associations of four healthy dietary pattern indices (healthy plant-based diet index [hPDI], Mediterranean diet score [MDS], Recommended food score [RFS], and Mediterranean-Dietary Approaches to Stop Hypertension Intervention [DASH] Intervention for Neurodegenerative Delay Diet [MIND]) with incident dementia (identified using linked hospital data; N = 114,684; mean age, 56.8 years; 55.5% females) using Cox proportional-hazards regressions and the 2) cross-sectional associations of these dietary pattern indices with brain structures (estimated using magnetic resonance imaging; N = 18,214; mean age, 55.9 years; 53.1% females) using linear regressions. A series of covariates were adjusted, and several sensitivity analyses were conducted. RESULTS A total of 481 (0.42%) participants developed dementia during the average 9.4-year follow-up. Although the associations were not statistically significant, all dietary patterns exerted protective effects against incident dementia (all hazard ratios < 1). Furthermore, higher dietary pattern indices were significantly associated with larger regional brain volumes, including volumes of gray matter in the parietal and temporal cortices and volumes of the hippocampus and thalamus. The main results were confirmed via sensitivity analyses. CONCLUSIONS Greater adherence to hPDI, MDS, RFS, and MIND was individually associated with larger brain volumes in specific regions. This study shows a comprehensive picture of the consistent associations of midlife dietary patterns with the risk of dementia and brain health, underscoring the potential benefits of a healthy diet in the prevention of dementia.
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Affiliation(s)
- Jingyun Zhang
- Department of Big Data in Health Science School of Public Health and Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, Zhejiang University School of Medicine, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou 310058, Zhejiang, China
| | - Xingqi Cao
- Department of Big Data in Health Science School of Public Health and Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, Zhejiang University School of Medicine, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou 310058, Zhejiang, China
| | - Xin Li
- Welch Center for Prevention, Epidemiology, and Clinical Research Department of Epidemiology, Johns Hopkins University, Baltimore, MD 21287, USA
| | - Xueqin Li
- Department of Big Data in Health Science School of Public Health and Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, Zhejiang University School of Medicine, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou 310058, Zhejiang, China
| | - Meng Hao
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai 200433, China
| | - Yang Xia
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang 110004, China
| | - Huiqian Huang
- Clinical Research Center, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, Zhejiang, China
| | - Terese Sara Høj Jørgensen
- Section of Social Medicine, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Øster Farimagsgade 5, PO Box 2099, Copenhagen DK-1014, Denmark
| | - George O Agogo
- StatsDecide Analytics and Consulting Ltd, P.O.Box 17438-20100, Nakuru, Kenya
| | - Liang Wang
- Department of Public Health, Robbins College of Human Health and Sciences, Baylor University, Waco, TX 76711, USA
| | - Xuehong Zhang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Xiang Gao
- Department of Nutrition and Food Hygiene, School of Public Health, Fudan University, Shanghai 200032, China
| | - Zuyun Liu
- Department of Big Data in Health Science School of Public Health and Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, Zhejiang University School of Medicine, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou 310058, Zhejiang, China.
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Wu H, Gu Y, Meng G, Wu H, Zhang S, Wang X, Zhang J, Huang T, Niu K. Quality of plant-based diet and the risk of dementia and depression among middle-aged and older population. Age Ageing 2023; 52:7181249. [PMID: 37247402 DOI: 10.1093/ageing/afad070] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Indexed: 05/31/2023] Open
Abstract
BACKGROUND several previous studies have shown the importance of the plant-based diets. However, not all plant-based foods are necessarily beneficial for dementia or depression. This study aimed to prospectively investigate the association between an overall plant-based diet and the incidence of dementia or depression. METHODS we included 180,532 participants from the UK Biobank cohort study, free of a history of cardiovascular disease, cancer, dementia and depression at baseline. We calculated an overall plant-based diet index (PDI), a healthful plant-based diet index (hPDI) and an unhealthful plant-based diet index (uPDI) based on 17 major food groups from Oxford WebQ. Dementia and depression were evaluated using hospital inpatient records in UK Biobank. Cox proportional hazards regression models were used to estimate the association between PDIs and the incidence of dementia or depression. RESULTS during the follow-up, 1,428 dementia cases and 6,781 depression cases were documented. After adjusting for several potential confounders and comparing the highest with the lowest quintile of three plant-based diet indices, the multivariable hazard ratios (95% confidence intervals (CIs)) for dementia were 1.03 (0.87, 1.23) for PDI, 0.82 (0.68, 0.98) for hPDI and 1.29 (1.08, 1.53) for uPDI. The hazard ratios (95% CI) for depression were 1.06 (0.98, 1.14) for PDI, 0.92 (0.85, 0.99) for hPDI and 1.15 (1.07, 1.24) for uPDI. CONCLUSION a plant-based diet rich in healthier plant foods was associated with a lower risk of dementia and depression, whereas a plant-based diet that emphasises less-healthy plant foods was associated with a higher risk of dementia and depression.
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Affiliation(s)
- Hanzhang Wu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yeqing Gu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Ge Meng
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Hongmei Wu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Shunming Zhang
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Xuena Wang
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Juanjuan Zhang
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Tao Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Kaijun Niu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
- Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
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Thompson AS, Tresserra-Rimbau A, Karavasiloglou N, Jennings A, Cantwell M, Hill C, Perez-Cornago A, Bondonno NP, Murphy N, Rohrmann S, Cassidy A, Kühn T. Association of Healthful Plant-based Diet Adherence With Risk of Mortality and Major Chronic Diseases Among Adults in the UK. JAMA Netw Open 2023; 6:e234714. [PMID: 36976560 PMCID: PMC10051114 DOI: 10.1001/jamanetworkopen.2023.4714] [Citation(s) in RCA: 74] [Impact Index Per Article: 37.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 02/08/2023] [Indexed: 03/29/2023] Open
Abstract
Importance Plant-based diets have gained popularity for both environmental and health reasons, but a comprehensive assessment of their quality in relation to risk of mortality and major chronic diseases is lacking. Objective To examine whether healthful vs unhealthful plant-based dietary patterns are associated with mortality and major chronic diseases among UK adults. Design, Setting, and Participants This prospective cohort study used data from adults in the UK Biobank, a large-scale population-based study. Participants were recruited between 2006 and 2010 and followed up using record linkage data until 2021; follow-up for different outcomes ranged between 10.6 and 12.2 years. Data analysis was conducted from November 2021 to October 2022. Exposures Adherence to a healthful vs unhealthful plant-based diet index (hPDI vs uPDI) derived from 24-hour dietary assessments. Main Outcomes and Measures The main outcomes were hazard ratios (HRs) and 95% CIs of mortality (overall and cause specific), cardiovascular disease (CVD [total, myocardial infarction, ischemic stroke, and hemorrhagic stroke]), cancer (total, breast, prostate, and colorectal), and fracture (total, vertebrae, and hip) across quartiles of hPDI and uPDI adherence. Results This study included 126 394 UK Biobank participants. They had a mean (SD) age of 56.1 (7.8) years; 70 618 (55.9%) were women. The majority of participants (115 371 [91.3%]) were White. Greater adherence to the hPDI was associated with lower risks of total mortality, cancer, and CVD, with HRs (95% CIs) of 0.84 (0.78-0.91), 0.93 (0.88-0.99), and 0.92 (0.86-0.99), respectively, for participants in the highest hPDI quartile compared with the lowest. The hPDI was also associated with lower risks of myocardial infarction and ischemic stroke, with HRs (95% CIs) of 0.86 (0.78-0.95) and 0.84 (0.71-0.99), respectively. By contrast, higher uPDI scores were associated with higher risks of mortality, CVD, and cancer. The associations observed did not show heterogeneity across strata of sex, smoking status, body mass index, or socioeconomic status or with polygenic risk scores (specifically with regard to CVD end points). Conclusions and Relevance The findings of this cohort study of middle-aged UK adults suggest that a diet characterized by high-quality plant-based foods and lower intakes of animal products may be beneficial for health, irrespective of established chronic disease risk factors and genetic predisposition.
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Affiliation(s)
- Alysha S. Thompson
- Institute for Global Food Security, School of Biological Sciences, Queen’s University, Belfast, United Kingdom
| | - Anna Tresserra-Rimbau
- Institute for Global Food Security, School of Biological Sciences, Queen’s University, Belfast, United Kingdom
- Department of Nutrition, Food Science, and Gastronomy, School of Pharmacy and Food Sciences, Institute for Research on Nutrition and Food Safety, University of Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Institute of Health Carlos III, Madrid, Spain
| | - Nena Karavasiloglou
- Division of Chronic Disease Epidemiology, Epidemiology, Biostatistics, and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - Amy Jennings
- Institute for Global Food Security, School of Biological Sciences, Queen’s University, Belfast, United Kingdom
| | - Marie Cantwell
- Institute for Global Food Security, School of Biological Sciences, Queen’s University, Belfast, United Kingdom
| | - Claire Hill
- Centre for Public Health, Queen’s University, Belfast, United Kingdom
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Nicola P. Bondonno
- Institute for Global Food Security, School of Biological Sciences, Queen’s University, Belfast, United Kingdom
- Danish Cancer Society Research Centre, Copenhagen, Denmark
- Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
| | - Neil Murphy
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Sabine Rohrmann
- Division of Chronic Disease Epidemiology, Epidemiology, Biostatistics, and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - Aedín Cassidy
- Institute for Global Food Security, School of Biological Sciences, Queen’s University, Belfast, United Kingdom
| | - Tilman Kühn
- Institute for Global Food Security, School of Biological Sciences, Queen’s University, Belfast, United Kingdom
- Heidelberg Institute of Global Health, Faculty of Medicine and University Hospital, Heidelberg, Germany
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Chen G, Su M, Chu X, Wei Y, Chen S, Zhou Y, Liu Z, Zhang Z. Plant-based diets and body composition in Chinese omnivorous children aged 6-9 years old: A cross-sectional study. Front Nutr 2022; 9:918944. [PMID: 35967769 PMCID: PMC9372333 DOI: 10.3389/fnut.2022.918944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 07/08/2022] [Indexed: 11/24/2022] Open
Abstract
Evidence suggests that plant-based diets are beneficial for alleviating metabolic diseases. Childhood is a crucial period for body growth and development. However, it is unknown whether adherence to a plant-based diet is related to a healthy body composition in children. We aimed to assess the relationship between a plant-based diet and body composition in children. A total of 452 Chinese children aged 6–9 years old participated in this cross-sectional study. Lean mass (LM), fat mass, and fat mass percentage (FMP) were assessed via dual-energy X-ray absorptiometry. An age- and sex-specific abdominal FMP ≥85th percentile was defined as abdominal obesity. Handgrip strength was measured using a hydraulic hand dynamometer. A validated 79-item food frequency questionnaire was used to collect dietary information. Overall plant-based diet index (PDI), healthful plant-based diet index (hPDI), and unhealthful plant-based diet index (uPDI) scores were calculated. After adjusting for potential covariates, a higher hPDI score (per 10-score increment) was associated with a higher LM in the android area (0.038 kg, 3.2%), gynoid area (0.048 kg, 1.9%), and trunk (0.102 kg, 1.2%) and with a lower FMP (1.18%) in the android area. In contrast, a higher uPDI score (per 10-score increment) was associated with a lower LM in the trunk (0.091 kg, 1.1%) and android area (0.023 kg, 1.9%) and with a higher FMP (0.74%) in the android area. No significant associations were observed between the overall PDI and body composition or abdominal obesity. After stratifying by sex, higher (vs. lower) hPDI scores was associated with lower abdominal obesity risk in girls and higher handgrip strength in boys. In conclusion, in this cross-sectional study, we found that stronger adherence to a healthful plant-based diet, and less adherence to an unhealthful plant-based diet was associated with better body composition in Chinese omnivorous children aged 6–9 years old. Our results highlight the need to distinguish between healthy and unhealthy plant foods within investigating how to obtain a healthy body composition in children.
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Affiliation(s)
- Gengdong Chen
- Department of Obstetrics, Foshan Institute of Fetal Medicine, Southern Medical University Affiliated Maternal & Child Health Hospital of Foshan, Foshan, China
| | - Mengyang Su
- Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Nutrition and Food Hygiene, School of Public Health, Southern Medical University, Guangzhou, China
| | - Xinwei Chu
- Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Nutrition and Food Hygiene, School of Public Health, Southern Medical University, Guangzhou, China
| | - Yuanhuan Wei
- Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Nutrition and Food Hygiene, School of Public Health, Southern Medical University, Guangzhou, China
| | - Shanshan Chen
- Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Nutrition and Food Hygiene, School of Public Health, Southern Medical University, Guangzhou, China
| | - Yingyu Zhou
- Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Nutrition and Food Hygiene, School of Public Health, Southern Medical University, Guangzhou, China
| | - Zhengping Liu
- Department of Obstetrics, Foshan Institute of Fetal Medicine, Southern Medical University Affiliated Maternal & Child Health Hospital of Foshan, Foshan, China
| | - Zheqing Zhang
- Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Nutrition and Food Hygiene, School of Public Health, Southern Medical University, Guangzhou, China
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Miao Z, Du W, Xiao C, Su C, Gou W, Shen L, Zhang J, Fu Y, Jiang Z, Wang Z, Jia X, Zheng JS, Wang H. Gut microbiota signatures of long-term and short-term plant-based dietary pattern and cardiometabolic health: a prospective cohort study. BMC Med 2022; 20:204. [PMID: 35701845 PMCID: PMC9199182 DOI: 10.1186/s12916-022-02402-4] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 05/11/2022] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND The interplay among the plant-based dietary pattern, gut microbiota, and cardiometabolic health is still unclear, and evidence from large prospective cohorts is rare. We aimed to examine the association of long-term and short-term plant-based dietary patterns with gut microbiota and to assess the prospective association of the identified microbial features with cardiometabolic biomarkers. METHODS Using a population-based prospective cohort study: the China Health and Nutrition Survey, we included 3096 participants from 15 provinces/megacities across China. We created an overall plant-based diet index (PDI), a healthful plant-based diet index (hPDI), and an unhealthful plant-based diet index (uPDI). The average PDIs were calculated using repeat food frequency questionnaires collected in 2011 and 2015 to represent a long-term dietary pattern. Short-term dietary pattern was estimated using 3-day 24-h dietary recalls collected in 2015. Fecal samples were collected in 2015 and measured using 16S rRNA sequencing. We investigated the association of long-term and short-term plant-based dietary patterns with gut microbial diversity, taxonomies, and functional pathways using linear mixed models. Furthermore, we assessed the prospective associations between the identified gut microbiome signatures and cardiometabolic biomarkers (measured in 2018) using linear regression. RESULTS We found a significant association of short-term hPDI with microbial alpha-diversity. Both long-term and short-term plant-based diet indices were correlated with microbial overall structure, whereas long-term estimates explained more variance. Long-term and short-term PDIs were differently associated with microbial taxonomic composition, yet only microbes related to long-term estimates showed association with future cardiometabolic biomarkers. Higher long-term PDI was associated with the lower relative abundance of Peptostreptococcus, while this microbe was positively correlated with the high-sensitivity C-reactive protein and inversely associated with high-density lipoprotein cholesterol. CONCLUSIONS We found shared and distinct gut microbial signatures of long-term and short-term plant-based dietary patterns. The identified microbial genera may provide insights into the protective role of long-term plant-based dietary pattern for cardiometabolic health, and replication in large independent cohorts is needed.
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Affiliation(s)
- Zelei Miao
- College of Life Sciences, Zhejiang University, Hangzhou, China
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Rd, Cloud Town, Hangzhou, China
| | - Wenwen Du
- Chinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, China
- Key Laboratory of Trace Element Nutrition, National Health Commission, Beijing, China
| | - Congmei Xiao
- College of Life Sciences, Zhejiang University, Hangzhou, China
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Rd, Cloud Town, Hangzhou, China
- Westlake Intelligent Biomarker Discovery Lab, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
| | - Chang Su
- Chinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, China
- Key Laboratory of Trace Element Nutrition, National Health Commission, Beijing, China
| | - Wanglong Gou
- College of Life Sciences, Zhejiang University, Hangzhou, China
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Rd, Cloud Town, Hangzhou, China
- Westlake Intelligent Biomarker Discovery Lab, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
| | - Luqi Shen
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Rd, Cloud Town, Hangzhou, China
- Westlake Intelligent Biomarker Discovery Lab, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Jiguo Zhang
- Chinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, China
- Key Laboratory of Trace Element Nutrition, National Health Commission, Beijing, China
| | - Yuanqing Fu
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Rd, Cloud Town, Hangzhou, China
- Westlake Intelligent Biomarker Discovery Lab, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Zengliang Jiang
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Rd, Cloud Town, Hangzhou, China
- Westlake Intelligent Biomarker Discovery Lab, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Zhihong Wang
- Chinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, China
- Key Laboratory of Trace Element Nutrition, National Health Commission, Beijing, China
| | - Xiaofang Jia
- Chinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, China
- Key Laboratory of Trace Element Nutrition, National Health Commission, Beijing, China
| | - Ju-Sheng Zheng
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Rd, Cloud Town, Hangzhou, China.
- Westlake Intelligent Biomarker Discovery Lab, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China.
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China.
| | - Huijun Wang
- Chinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, China.
- Key Laboratory of Trace Element Nutrition, National Health Commission, Beijing, China.
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DeClercq V, Nearing JT, Sweeney E. Plant-Based Diets and Cancer Risk: What is the Evidence? Curr Nutr Rep 2022; 11:354-369. [PMID: 35334103 DOI: 10.1007/s13668-022-00409-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/28/2022] [Indexed: 01/23/2023]
Abstract
PURPOSE OF REVIEW The purpose of this review is to summarize the recent (past 5 years) available evidence regarding the association between plant-based diets on cancer risk from clinical trials and observational studies. Biological mechanisms and gaps in the current literature will also be discussed. RECENT FINDINGS There is a lack of intervention studies but there are abundant observational studies assessing the association between plant-based diets and cancer risk, including multiple longitudinal cohort studies and similar data from case-control studies that demonstrate a decreased overall cancer risk with plant-based diets. Case-control studies support a decreased risk of colorectal and breast cancers with plant-based diets, but results for specific cancers remain inconsistent in cohort studies. Current evidence from observational studies indicates an inverse association between plant-based diets and overall cancer risk. Future research should include intervention studies, address inconsistencies in dietary assessment methods and provide greater detail on underrepresented groups.
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Affiliation(s)
- Vanessa DeClercq
- Department of Pharmacology, Dalhousie University, Room 5-D Tupper Medical Building, 5850 College Street, Halifax, NS, B3H 4R2, Canada.
- Department of Community Health and Epidemiology, Dalhousie University, Halifax, NS, Canada.
| | - Jacob T Nearing
- Department of Microbiology and Immunology, Dalhousie University, Halifax, NS, Canada
| | - Ellen Sweeney
- Atlantic Partnership for Tomorrow's Health (PATH), Dalhousie University, Halifax, NS, Canada
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Golzarand M, Mirmiran P, Azizi F. Association between dietary choline and betaine intake and 10.6-year cardiovascular disease in adults. Nutr J 2022; 21:1. [PMID: 34986852 PMCID: PMC8728923 DOI: 10.1186/s12937-021-00755-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 12/09/2021] [Indexed: 01/12/2023] Open
Abstract
Background Several studies have assessed the association between dietary choline and betaine and cardiovascular disease (CVD), but their results are inconsistent. The present study aimed to determine the association between dietary intake of choline and betaine and the risk of CVD in the general population over a 10.6-year period of follow-up. Methods The present cohort study was conducted on participants in the third wave of the Tehran Lipid and Glucose Study (2006–2008) and was followed-up until March 2018. Dietary intake of choline and betaine was calculated using the United States Department of Agriculture (USDA) database. Patients’ medical records were used to collect data on CVD. Results In this study, 2606 subjects with no previous CVD participated and were followed-up for a median of 10.6 years. During the follow-up periods, 187 incidences of CVD were detected. Results of the Cox proportional hazards regression indicated that neither energy-adjusted total choline nor betaine was associated with the incidence of CVD. Among individual choline forms, only higher intake of free choline (FC) was associated with a lower risk of CVD (HR: 0.64, 95% CI: 0.42–0.98). There was no significant association between each 10 mg/d increase in choline and betaine content of each food category and CVD. Conclusion Our investigation indicates no association between energy-adjusted total choline and betaine and a 10.6-year risk of CVD among adults. Besides, we found no relationship between individual choline forms (except FC) and CVD. We also found energy-adjusted choline and betaine obtained from food categories were not associated with the risk of CVD.
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Affiliation(s)
- Mahdieh Golzarand
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Parvin Mirmiran
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran. .,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, No. 7, Shahid Hafezi St., Farahzadi Blvd., Shahrak-e-qods, Tehran, 1981619573, Iran.
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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