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Hu X, Li XK, Wen S, Li X, Zeng TS, Zhang JY, Wang W, Bi Y, Zhang Q, Tian SH, Min J, Wang Y, Liu G, Huang H, Peng M, Zhang J, Wu C, Li YM, Sun H, Ning G, Chen LL. Predictive modeling the probability of suffering from metabolic syndrome using machine learning: A population-based study. Heliyon 2022; 8:e12343. [PMID: 36643319 PMCID: PMC9834713 DOI: 10.1016/j.heliyon.2022.e12343] [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: 02/13/2022] [Revised: 06/16/2022] [Accepted: 12/06/2022] [Indexed: 12/14/2022] Open
Abstract
Background There is an increasing trend of Metabolic syndrome (MetS) prevalence, which has been considered as an important contributor for cardiovascular disease (CVD), cancers and diabetes. However, there is often a long asymptomatic phase of MetS, resulting in not diagnosed and intervened so timely as needed. It would be very helpful to explore tools to predict the probability of suffering from MetS in daily life or routinely clinical practice. Objective To develop models that predict individuals' probability of suffering from MetS timely with high efficacy in general population. Methods The present study enrolled 8964 individuals aged 40-75 years without severe diseases, which was a part of the REACTION study from October 2011 to February 2012. We developed three prediction models for different scenarios in hospital (Model 1, 2) or at home (Model 3) based on LightGBM (LGBM) technique and corresponding logistic regression (LR) models were also constructed for comparison. Model 1 included variables of laboratory tests, lifestyles and anthropometric measurements while model 2 was built with components of MetS excluded based on model 1, and model 3 was constructed with blood biochemical indexes removed based on model 2. Additionally, we also investigated the strength of association between the predictive factors and MetS, as well as that between the predictors and each component of MetS. Results In this study, 2714 (30.3%) participants suffer from MetS accordingly. The performances of the LGBM models in predicting the probability of suffering from MetS produced good results and were presented as follows: model 1 had an area under the curve (AUC) value of 0.993 while model 2 indicated an AUC value of 0.885. Model 3 had an AUC value of 0.859, which is close to that of model 2. The AUC values of LR model 1 and 2 for the scenario in hospital and model 3 at home were 0.938, 0.839 and 0.820 respectively, which seemed lower than that of their corresponding machine learning models, respectively. In both LGBM and logistic models, gender, height and resting pulse rate (RPR) were predictors for MetS. Women had higher risk of MetS than men (OR 8.84, CI: 6.70-11.66), and each 1-cm increase in height indicated 3.8% higher risk of suffering from MetS in people over 58 years, whereas each 1- Beat Per Minute (bpm) increase in RPR showed 1.0% higher risk in individuals younger than 62 years. Conclusion The present study showed that the prediction models developed by machine learning demonstrated effective in evaluating the probability of suffering from MetS, and presented prominent predicting efficacies and accuracies. Additionally, we found that women showed a higher risk of MetS than men, and height in individuals over 58 years was important factor in predicting the probability of suffering from MetS while RPR was of vital importance in people aged 40-62 years.
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Affiliation(s)
- Xiang Hu
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China,Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
| | - Xue-Ke Li
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China,Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
| | - Shiping Wen
- Centre for Artificial Intelligence, Faculty of Engineering Information Technology, University of Technology Sydney, Ultimo, NSW, 2007, Australia
| | - Xingyu Li
- School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China
| | - Tian-Shu Zeng
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China,Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
| | - Jiao-Yue Zhang
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China,Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
| | - Weiqing Wang
- Department of Endocrinology and Metabolism, State Key Laboratory of Medical Genomes, National Clinical Research Center for Metabolic Diseases, Shanghai Clinical Center for Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Yufang Bi
- Department of Endocrinology and Metabolism, State Key Laboratory of Medical Genomes, National Clinical Research Center for Metabolic Diseases, Shanghai Clinical Center for Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Qiao Zhang
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Sheng-Hua Tian
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China,Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
| | - Jie Min
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China,Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
| | - Ying Wang
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China,Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
| | - Geng Liu
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China,Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
| | | | - Miaomiao Peng
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China,Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
| | | | - Chaodong Wu
- Department of Nutrition and Food Science, Texas A&M University, College Station, TX, USA
| | - Yu-Ming Li
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China,Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
| | - Hui Sun
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China,Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
| | - Guang Ning
- Department of Endocrinology and Metabolism, State Key Laboratory of Medical Genomes, National Clinical Research Center for Metabolic Diseases, Shanghai Clinical Center for Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Lu-Lu Chen
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China,Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China,Corresponding author.
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Sadeghi F, Amanat S, Bakhtiari M, Asadimehr H, Okhovat MA, Hosseinzadeh M, Mazloomi SM, Gholamalizadeh M, Doaei S. The effects of high fructose fruits and honey on the serum level of metabolic factors and nonalcoholic fatty liver disease. J Diabetes Metab Disord 2021; 20:1647-1654. [PMID: 34900816 DOI: 10.1007/s40200-021-00916-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Accepted: 10/09/2021] [Indexed: 12/31/2022]
Abstract
Introduction The effect of the natural sources of fructose such as high fructose fruits and honey on the risk of fatty liver is still challenging. This study aimed to compare the effect of fructose, high fructose fruits, and honey on the metabolic factors and non-alcoholic fatty liver disease (NAFLD). Methods Forty-four rats were divided into four groups including normal diet group, high fructose group (HF), high fructose fruits group (HFF), and honey group (HO). After 120 days of intervention, the levels of insulin resistance, hepatic enzyme, and lipid profile were measured. Also, the expression levels of the acetyl-coA carboxylase (ACC), sterol regulatory element-binding protein 1c (SREBP-1c), Interleukin 6 (IL-6), and transforming growth factor-beta (TGF-β) genes were assessed. In addition, a histopathologic assessment was performed on liver tissues. Results Insulin resistance (IR) increased significantly in the HF, HFF, and HO groups (All P < 0.05). The levels of liver enzymes was significantly increased only in the group receiving the HF regimen (P < 0.01). A significant decrease in total cholesterol and HDL-C (high density lipoprotein cholesterol) levels was found in HO group compared to the control group (P < 0.05). The expression levels of ACC and SREBP-1c genes in HF, HFF, and HO groups were significantly higher than the control group (All P < 0.05). The HF group had a greater increase in the level of gene expression of IL-6 and TGF-β (All P < 0.05). Histopathological assessment did not find any changes in fatty liver formation and inflammatory damage. Conclusion Consumption of fructose-rich honey and fruits improved the status of inflammatory markers and liver enzymes compared with the industrial fructose-rich products.
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Affiliation(s)
- Fatemeh Sadeghi
- Discipline of Physiotherapy, School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - Sasan Amanat
- Student Research Committee, Larestan University of Medical Sciences, Larestan, Iran
| | - Mohammad Bakhtiari
- Department of Anatomical Sciences, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | | | - Mohammad Ali Okhovat
- Diagnostic Laboratory Sciences and Technology Research Center, School of Paramedical Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Masood Hosseinzadeh
- Department of Pathology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Seyed Mohammad Mazloomi
- Nutrition Research Center, Department of Food Hygiene and Quality Control, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Maryam Gholamalizadeh
- Student Research Committee, Cancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Saeid Doaei
- Reproductive Health Research Center, Department of Obstetrics & Gynecology, Al-Zahra Hospital, School of Health, Guilan University of Medical Sciences, Rasht, Iran
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Ertuglu LA, Afsar B, Yildiz AB, Demiray A, Ortiz A, Covic A, Kanbay M. Substitution of Sugar-Sweetened Beverages for Other Beverages: Can It Be the Next Step Towards Healthy Aging? Curr Nutr Rep 2021; 10:399-412. [PMID: 34595722 DOI: 10.1007/s13668-021-00372-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/12/2021] [Indexed: 12/25/2022]
Abstract
PURPOSE OF REVIEW With the prolongation of life expectancy, the gap between lifespan and "health span," the disease-free lifespan, has been widening due to the massive burden of age-related chronic diseases and research on healthy aging has been gaining momentum. A growing body of evidence suggests that diet is a strong determinant of healthy aging and consumption of sugar-sweetened beverages (SSB), a major source of added sugars, predicts poor health outcomes in the aging population, including cardiovascular disease, diabetes, and cancer. Evidence further supports a link between sugar-sweetened beverages-triggered pathological processes and biologic factors of aging, including inflammaging, oxidative stress, and alterations in intestinal microbiota. At present, substitution of sugar-sweetened beverages with healthier alternative beverage remains the most robust strategy to limit the deleterious effects of sugar-sweetened beverages on health worldwide and may help achieve healthy longevity. The purpose of this review is to provide an overview of mechanisms by which sugar-sweetened beverages consumption may impact the physiological aging process and how a simple intervention of beverage replacement may promote healthy aging. RECENT FINDINGS Recent findings indicate that SSB are associated with accelerated aging phenotype and activate various adverse biological processes such as chronic inflammation, oxidative stress, insulin resistance, and gut dysbiosis. Replacing SSB with healthier beverages may be a reasonable option to reduce the burden of chronic disease in the aging population and even prolong life and healthspan.
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Affiliation(s)
- Lale A Ertuglu
- Department of Medicine, Koc University School of Medicine, Istanbul, Turkey
| | - Baris Afsar
- Division of Nephrology, Department of Internal Medicine, Suleyman Demirel University School of Medicine, Isparta, Turkey.
| | - Abdullah B Yildiz
- Department of Medicine, Koc University School of Medicine, Istanbul, Turkey
| | - Atalay Demiray
- Department of Medicine, Koc University School of Medicine, Istanbul, Turkey
| | - Alberto Ortiz
- Department of Medicine, School of Medicine, IIS-Fundacion Jimenez Diaz, Universidad Autonoma de Madrid, Madrid, Spain
| | - Adrian Covic
- Department of Nephrology, Grigore T. Popa' University of Medicine, Iasi, Romania
| | - Mehmet Kanbay
- Division of Nephrology, Department of Medicine, Koc University School of Medicine, Istanbul, Turkey
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Liu R, Mi B, Zhao Y, Li Q, Dang S, Yan H. Gender-specific association between carbohydrate consumption and blood pressure in Chinese adults. BMJ Nutr Prev Health 2021; 4:80-89. [PMID: 34308115 PMCID: PMC8258083 DOI: 10.1136/bmjnph-2020-000165] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Revised: 12/19/2020] [Accepted: 12/23/2020] [Indexed: 01/30/2023] Open
Abstract
Background The association between dietary carbohydrate consumption and blood pressure (BP) is controversial. The present study aimed to evaluate the possible gender-specific association of carbohydrate across the whole BP distribution. Method Cross-sectional survey including 2241 rural adults was conducted in northwestern China in 2010. BP was measured by trained medical personnel. Dietary information was collected by semiquantitative Food-Frequency Questionnaire. Multivariate quantile regression model was used to estimate the association between total carbohydrates consumption and systolic BP (SBP) and diastolic BP (DBP) at different quantiles. Gender-specific β coefficient and its 95% CI was calculated. Results The average carbohydrate intake was 267.4 (SD 112.0) g/day in males and 204.9 (SD 90.7) g/day in females, with only 10.6% of males and 6.5% females consumed at least 65% of total energy from carbohydrates. And more than 80% carbohydrates were derived from refined grains. In females, increased total carbohydrates intake was associated with adverse SBP and DBP. An additional 50 g carbohydrates per day was positively associated with SBP at low and high quantiles (10th-20th and 60th-80th) and with DBP almost across whole distribution (30th-90th), after adjusting for age, fortune index, family history of hypertension, body mass index, physical activity level, alcohol intake and smoke, energy, two nutrient principal components, protein and sodium intake. Both relatively low and high carbohydrate intake were associated with increased SBP, with minimum level observed at 130-150 g carbohydrate intake per day from restricted cubic splines. However, no significant associations were observed in males. Conclusions Higher total carbohydrates consumption might have an adverse impact on both SBP and DBP in Chinese females but not males. Additionally, the positive association varies across distribution of BP quantiles. Further research is warranted to validate these findings and clarify the causality.
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Affiliation(s)
- Ruru Liu
- Department of Epidemiology and Biostatistics, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.,Department of Disinfection, Xi'an Center for Disease Control and Prevention, Xi'an, Shaanxi Province, China
| | - Baibing Mi
- Department of Epidemiology and Biostatistics, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
| | - Yaling Zhao
- Department of Epidemiology and Biostatistics, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
| | - Qiang Li
- Department of Epidemiology and Biostatistics, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
| | - Shaonong Dang
- Department of Epidemiology and Biostatistics, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
| | - Hong Yan
- Department of Epidemiology and Biostatistics, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
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Dias DDS, Bernardes N, Stoyell-Conti FF, dos Santos CP, de Araujo AA, Llesuy S, Irigoyen MC, De Angelis K. Impact of combined exercise training on the development of cardiometabolic and neuroimmune complications induced by fructose consumption in hypertensive rats. PLoS One 2020; 15:e0233785. [PMID: 32521542 PMCID: PMC7286703 DOI: 10.1371/journal.pone.0233785] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Accepted: 05/12/2020] [Indexed: 01/19/2023] Open
Abstract
This study evaluated the impact of combined exercise training on the development of cardiovascular and neuroimmune complications induced by fructose consumption (10% in the drinking water) in hypertensive rats (SHR). After weaning, SHR were divided into 3 groups: SHR (H), SHR+fructose (HF) and SHR+fructose+combined exercise training (treadmill+ladder, 40-60% of maximum capacity) (HFTC). Metabolic, hemodynamic, autonomic, inflammatory and oxidative stress parameters were evaluated in the subgroups (n = 6 group/time) at 7, 15, 30 and 60 days of protocol. Fructose consumption (H vs. HF groups) decreased spontaneous baroreflex sensitivity and total variance of pulse interval at day 7 (7 to 60); increased IL-6 and TNFα in the heart (at day 15, 30 and 60) and NADPH oxidase activity and cardiac lipoperoxidation (LPO) (day 60); increased white adipose tissue weight, reduced insulin sensitivity and increased triglycerides (day 60); induced an additional increase in mean arterial pressure (MAP) (days 30 and 60). Combined exercise training prevented such dysfunctions and sustained increased cardiac IL-10 (day 7) and glutathione redox balance (GSH/GSSG) for the entire protocol. In conclusion, combined exercise training performed simultaneously with exacerbated fructose consumption prevented early cardiovascular autonomic dysfunction, probably trigging positive changes in inflammation and oxidative stress, resulting in a better cardiometabolic profile in rats genetically predisposed to hypertension.
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Affiliation(s)
- Danielle da Silva Dias
- Laboratory of Translational Physiology, Universidade Nove de Julho (UNINOVE), Sao Paulo, Sao Paulo, Brazil
- Department of Physiology, Federal University of Sao Paulo (UNIFESP), Sao Paulo, Sao Paulo, Brazil
| | - Nathalia Bernardes
- Laboratory of Translational Physiology, Universidade Nove de Julho (UNINOVE), Sao Paulo, Sao Paulo, Brazil
| | | | - Camila Paixão dos Santos
- Department of Physiology, Federal University of Sao Paulo (UNIFESP), Sao Paulo, Sao Paulo, Brazil
| | | | - Susana Llesuy
- Laboratory of Translational Physiology, Universidade Nove de Julho (UNINOVE), Sao Paulo, Sao Paulo, Brazil
- Instituto Universitario Hospital Italiano, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina
| | - Maria Cláudia Irigoyen
- Hypertension Unit, Heart Institute (InCor), School of Medicine, University of Sao Paulo, Sao Paulo, Sao Paulo, Brazil
| | - Kátia De Angelis
- Laboratory of Translational Physiology, Universidade Nove de Julho (UNINOVE), Sao Paulo, Sao Paulo, Brazil
- Department of Physiology, Federal University of Sao Paulo (UNIFESP), Sao Paulo, Sao Paulo, Brazil
- * E-mail:
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Alves R, Suehiro CL, Oliveira FGD, Frantz EDC, Medeiros RFD, Vieira RDP, Martins MDA, Lin CJ, Nobrega ACLD, Toledo-Arruda ACD. Aerobic exercise modulates cardiac NAD(P)H oxidase and the NRF2/KEAP1 pathway in a mouse model of chronic fructose consumption. J Appl Physiol (1985) 2020; 128:59-69. [PMID: 31647720 DOI: 10.1152/japplphysiol.00201.2019] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
The present study investigated the effects of exercise on the cardiac nuclear factor (erythroid-derived 2) factor 2 (NRF2)/Kelch-like ECH-associated protein 1 (KEAP1) pathway in an experimental model of chronic fructose consumption. Male C57BL/6 mice were assigned to Control, Fructose (20% fructose in drinking water), Exercise (treadmill exercise at moderate intensity), and Fructose + Exercise groups ( n = 10). After 12 wk, the energy intake and body weight in the groups were similar. Maximum exercise testing, resting energy expenditure, resting oxygen consumption, and carbon dioxide production increased in the exercise groups (Exercise and Fructose + Exercise vs. Control and Fructose groups, P < 0.05). Chronic fructose intake induced circulating hypercholesterolemia, hypertriglyceridemia, and hyperleptinemia and increased white adipose tissue depots, with no changes in blood pressure. This metabolic environment increased circulating IL-6, IL-1β, IL-10, cardiac hypertrophy, and cardiac NF-κB-p65 and TNF-α expression, which were reduced by exercise ( P < 0.05). Cardiac ANG II type 1 receptor and NAD(P)H oxidase 2 (NOX2) were increased by fructose intake and exercise decreased this response ( P < 0.05). Exercise increased the cardiac expression of the NRF2-to-KEAP1 ratio and phase II antioxidants in fructose-fed mice ( P < 0.05). NOX4, glutathione reductase, and catalase protein expression were similar between the groups. These findings suggest that exercise confers modulatory cardiac effects, improving antioxidant defenses through the NRF2/KEAP1 pathway and decreasing oxidative stress, representing a potential nonpharmacological approach to protect against fructose-induced cardiometabolic diseases.NEW & NOTEWORTHY This is the first study to evaluate the cardiac modulation of NAD(P)H oxidase (NOX), the NRF2/Kelch-like ECH-associated protein 1 pathway (KEAP), and the thioredoxin (TRX1) system through exercise in the presence of moderate fructose intake. We demonstrated a novel mechanism by which exercise improves cardiac antioxidant defenses in an experimental model of chronic fructose intake, which involves NRF2-to-KEAP1 ratio modulation, enhancing the local phase II antioxidants hemoxygenase-1, thioredoxin reductase (TXNRD1), and peroxiredoxin1B (PDRX1), and inhibiting cardiac NOX2 overexpression.
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Affiliation(s)
- Renata Alves
- Laboratory of Exercise Sciences, Department of Physiology and Pharmacology, Fluminense Federal University, Niteroi, Rio de Janeiro, Brazil
- National Institute for Science and Technology-INCT (In)activity and Exercise, Conselho Nacional de Desenvolvimento Científico e Tecnológico-Niterói (RJ), Rio de Janeiro, Brazil
| | - Camila Liyoko Suehiro
- Department of Pathology, University of Sao Paulo, School of Medicine, Sao Paulo, Brazil
- Department of Internal Medicine, University of Sao Paulo, School of Medicine, Sao Paulo, Brazil
| | - Flavia Garcia de Oliveira
- Laboratory of Exercise Sciences, Department of Physiology and Pharmacology, Fluminense Federal University, Niteroi, Rio de Janeiro, Brazil
- National Institute for Science and Technology-INCT (In)activity and Exercise, Conselho Nacional de Desenvolvimento Científico e Tecnológico-Niterói (RJ), Rio de Janeiro, Brazil
| | - Eliete Dalla Corte Frantz
- Laboratory of Exercise Sciences, Department of Physiology and Pharmacology, Fluminense Federal University, Niteroi, Rio de Janeiro, Brazil
- National Institute for Science and Technology-INCT (In)activity and Exercise, Conselho Nacional de Desenvolvimento Científico e Tecnológico-Niterói (RJ), Rio de Janeiro, Brazil
| | - Renata Frauches de Medeiros
- Laboratory of Exercise Sciences, Department of Physiology and Pharmacology, Fluminense Federal University, Niteroi, Rio de Janeiro, Brazil
- National Institute for Science and Technology-INCT (In)activity and Exercise, Conselho Nacional de Desenvolvimento Científico e Tecnológico-Niterói (RJ), Rio de Janeiro, Brazil
| | - Rodolfo de Paula Vieira
- Department of Internal Medicine, University of Sao Paulo, School of Medicine, Sao Paulo, Brazil
- Brazilian Institute of Teaching and Research in Pulmonary and Exercise Immunology (IBEPIPE), Sao Jose dos Campos, Sao Paulo, Brazil
- Graduate Program in Sciences of Human Movement and Rehabilitation, Federal University of Sao Paulo, Santos, Sao Paulo, Brazil
- Graduate Program in Bioengineering, Universidade Brasil, Campus Itaquera, Sao Paulo, Sao Paulo, Brazil
- School of Medicine, Anhembi Morumbi University, São José dos Campos, Sao Paulo, Brazil
| | | | - Chin Jia Lin
- Department of Pathology, University of Sao Paulo, School of Medicine, Sao Paulo, Brazil
| | - Antonio Claudio Lucas da Nobrega
- Laboratory of Exercise Sciences, Department of Physiology and Pharmacology, Fluminense Federal University, Niteroi, Rio de Janeiro, Brazil
- National Institute for Science and Technology-INCT (In)activity and Exercise, Conselho Nacional de Desenvolvimento Científico e Tecnológico-Niterói (RJ), Rio de Janeiro, Brazil
| | - Alessandra Choqueta de Toledo-Arruda
- Laboratory of Exercise Sciences, Department of Physiology and Pharmacology, Fluminense Federal University, Niteroi, Rio de Janeiro, Brazil
- National Institute for Science and Technology-INCT (In)activity and Exercise, Conselho Nacional de Desenvolvimento Científico e Tecnológico-Niterói (RJ), Rio de Janeiro, Brazil
- Department of Pathology, University of Sao Paulo, School of Medicine, Sao Paulo, Brazil
- Department of Internal Medicine, University of Sao Paulo, School of Medicine, Sao Paulo, Brazil
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Tamer F, Ulug E, Akyol A, Nergiz-Unal R. The potential efficacy of dietary fatty acids and fructose induced inflammation and oxidative stress on the insulin signaling and fat accumulation in mice. Food Chem Toxicol 2020; 135:110914. [DOI: 10.1016/j.fct.2019.110914] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Revised: 10/17/2019] [Accepted: 10/23/2019] [Indexed: 02/09/2023]
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8
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Wu X, Du R, Hu C, Cheng D, Ma L, Li M, Xu Y, Xu M, Chen Y, Li D, Bi Y, Wang W, Ning G, Lu J. Resting heart rate is associated with metabolic syndrome and predicted 10-year risk of cardiovascular disease: a cross-sectional study. J Diabetes 2019; 11:884-894. [PMID: 30941862 DOI: 10.1111/1753-0407.12927] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2018] [Revised: 02/19/2019] [Accepted: 03/27/2019] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND This study examined whether resting heart rate (RHR) was associated with metabolic syndrome (MetS) and the 10-year predicted risk of cardiovascular disease in a Chinese population. METHODS The associations of RHR with MetS and 10-year risk of atherosclerotic cardiovascular diseases (ASCVD) was examined in a cross-sectional study conducted in Shanghai, China (n = 9486). RESULTS Compared with individuals in the lowest RHR quintile (≤71 b.p.m.), those in the highest quintile (≥91 b.p.m.) had a higher prevalence of MetS (21.2% vs 32.6%, respectively; P < 0.001). Logistic regression analyses showed that the multivariate-adjusted odds ratio (OR) and 95% confidence interval (CI) for MetS was 1.13 (1.08-1.18) for each 10-b.p.m. increment of RHR (P < 0.0001). Furthermore, RHR was strongly associated with the prevalence of hypertension, high blood glucose, and dyslipidemia, but not with central obesity. A stronger association of RHR with MetS was observed among individuals aged <65 years, male, with a body mass index <24 kg/m2 , without diabetes, hypertension, abnormal lipids, and insulin resistance than among their counterparts (P < 0.05 for all). A significantly higher 10-year risk for ASCVD was observed with each 10-b.p.m. increment in RHR in both men and women (ORs [95% CIs] 1.20 [1.07-1.33] and 1.28 [1.17-1.39], respectively; Ptrend = 0.002 and < 0.0001, respectively). CONCLUSIONS In this study, RHR was associated with a higher prevalence of MetS and elevated 10-year predicted risk of ASCVD in both Chinese men and women. Whether RHR may serve as an indicator for MetS among relatively healthy individuals requires further investigation.
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Affiliation(s)
- Xueyan Wu
- National Clinical Research Center for Metabolic Diseases, Ruijin Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai, China
| | - Rui Du
- National Clinical Research Center for Metabolic Diseases, Ruijin Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai, China
| | - Chunyan Hu
- National Clinical Research Center for Metabolic Diseases, Ruijin Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai, China
| | - Di Cheng
- National Clinical Research Center for Metabolic Diseases, Ruijin Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai, China
| | - Lina Ma
- National Clinical Research Center for Metabolic Diseases, Ruijin Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai, China
| | - Mian Li
- National Clinical Research Center for Metabolic Diseases, Ruijin Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai, China
| | - Yu Xu
- National Clinical Research Center for Metabolic Diseases, Ruijin Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai, China
| | - Min Xu
- National Clinical Research Center for Metabolic Diseases, Ruijin Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai, China
| | - Yuhong Chen
- National Clinical Research Center for Metabolic Diseases, Ruijin Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai, China
| | - Donghui Li
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Yufang Bi
- National Clinical Research Center for Metabolic Diseases, Ruijin Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai, China
| | - Weiqing Wang
- National Clinical Research Center for Metabolic Diseases, Ruijin Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai, China
| | - Guang Ning
- National Clinical Research Center for Metabolic Diseases, Ruijin Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai, China
| | - Jieli Lu
- National Clinical Research Center for Metabolic Diseases, Ruijin Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai, China
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9
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Abstract
PURPOSE OF REVIEW This review discusses recent evidence on the association of dietary carbohydrates (quantity, quality, and timing of intake) with hypertension (HTN) risk and out-of-clinic blood pressure (BP) measures. RECENT FINDINGS Studies on carbohydrate quantity are inconclusive, but low carbohydrate diets may be associated with lower BP. Plant-based carbohydrate-containing foods such as fruits, vegetables, and whole grains may lower HTN risk and 24-h BP. Excessive sugar intakes from sugar-sweetened beverages are associated with higher BP levels and HTN risk, with evidence of a dose-response relationship. Preliminary data suggest that timing of carbohydrate intake may influence HTN risk and 24-h BP. The role of carbohydrate nutrition in HTN's etiology warrants further investigation. Additional studies are needed to investigate the influence of dietary carbohydrates on HTN risk and the circadian pattern of BP, evaluate potential sex and racial/ethnic differences in these associations, and elucidate underlying mechanisms.
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10
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Abstract
PURPOSE OF REVIEW To describe current findings on sugar intake in children worldwide, including sugar sources and their impact on child health focusing on cardiometabolic alterations usually associated to obesity. RECENT FINDINGS In children less than 4 years, intakes of added sugars across countries ranged from 9.8 to 11.2% of total energy; in children 4-10 years, it ranged from less than 3-18%; and in adolescents, it ranged from 13.6 to 16.6%. For most countries, intakes of added sugars were greater than the recommended upper limit of 10% of total energy for children and adolescents and less or around 10% in infants. In most studies, soft drinks and fruit-based drinks accounted for the greatest proportion of the added sugars intake, followed by milk products and sweet bakery products. High added sugar intake has been associated with increased obesity risk and fat deposition in the liver, contributing to dyslipidemia, high blood pressure, insulin resistance and cardio-metabolic risk. SUMMARY As a high added sugar intake is associated with cardio-metabolic conditions in children and adolescents, the current scenario supports the need for stronger targeted long-term policies that prevent the excessive sugar intake in young populations.
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Affiliation(s)
- Azahara Iris Rupérez
- Growth, Exercise, Nutrition and Development (GENUD) Research Group, University of Zaragoza, Food and Agriculture Institute of Aragón (IA2), Health Research Institute of Aragón (ISS Aragón), Zaragoza
| | - María Isabel Mesana
- Growth, Exercise, Nutrition and Development (GENUD) Research Group, University of Zaragoza, Food and Agriculture Institute of Aragón (IA2), Health Research Institute of Aragón (ISS Aragón), Zaragoza
| | - Luis Alberto Moreno
- Growth, Exercise, Nutrition and Development (GENUD) Research Group, University of Zaragoza, Food and Agriculture Institute of Aragón (IA2), Health Research Institute of Aragón (ISS Aragón), Zaragoza
- CIBER Obesity and Nutrition Physiopathology (CIBEROBN). Madrid, Spain
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Chronic Consumption of Fructose Induces Behavioral Alterations by Increasing Orexin and Dopamine Levels in the Rat Brain. Nutrients 2018; 10:nu10111722. [PMID: 30423806 PMCID: PMC6265759 DOI: 10.3390/nu10111722] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2018] [Revised: 11/02/2018] [Accepted: 11/08/2018] [Indexed: 01/02/2023] Open
Abstract
It has been widely described that chronic intake of fructose causes metabolic alterations which can be associated with brain function impairment. In this study, we evaluated the effects of fructose intake on the sleep–wake cycle, locomotion, and neurochemical parameters in Wistar rats. The experimental group was fed with 10% fructose in drinking water for five weeks. After treatment, metabolic indicators were quantified in blood. Electroencephalographic recordings were used to evaluate the sleep architecture and the spectral power of frequency bands. Likewise, the locomotor activity and the concentrations of orexin A and monoamines were estimated. Our results show that fructose diet significantly increased the blood levels of glucose, cholesterol, and triglycerides. Fructose modified the sleep–wake cycle of rats, increasing the waking duration and conversely decreasing the non-rapid eye movement sleep. Furthermore, these effects were accompanied by increases of the spectral power at different frequency bands. Chronic consumption of fructose caused a slight increase in the locomotor activity as well as an increase of orexin A and dopamine levels in the hypothalamus and brainstem. Specifically, immunoreactivity for orexin A was increased in the ventral tegmental area after the intake of fructose. Our study suggests that fructose induces metabolic changes and stimulates the activity of orexinergic and dopaminergic neurons, which may be responsible for alterations of the sleep–wake cycle.
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Isocaloric Dietary Changes and Non-Alcoholic Fatty Liver Disease in High Cardiometabolic Risk Individuals. Nutrients 2017; 9:nu9101065. [PMID: 28954437 PMCID: PMC5691682 DOI: 10.3390/nu9101065] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2017] [Revised: 08/28/2017] [Accepted: 09/21/2017] [Indexed: 02/07/2023] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) incorporates an extensive spectrum of histologic liver abnormalities, varying from simple triglyceride accumulation in hepatocytes non-alcoholic fatty liver (NAFL) to non-alcoholic steatohepatitis (NASH), and it is the most frequent chronic liver disease in the industrialized world. Beyond liver related complications such as cirrhosis and hepatocellular carcinoma, NAFLD is also an emerging risk factor for type 2 diabetes and cardiovascular disease. Currently, lifestyle intervention including strategies to reduce body weight and to increase regular physical activity represents the mainstay of NAFLD management. Total caloric intake plays a very important role in both the development and the treatment of NAFLD; however, apart from the caloric restriction alone, modifying the quality of the diet and modulating either the macro- or micronutrient composition can also markedly affect the clinical evolution of NAFLD, offering a more realistic and feasible treatment alternative. The aim of the present review is to summarize currently available evidence from randomized controlled trials on the effects of different nutrients including carbohydrates, lipids, protein and other dietary components, in isocaloric conditions, on NAFLD in people at high cardiometabolic risk. We also describe the plausible mechanisms by which different dietary components could modulate liver fat content.
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