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Garcia-Silva J, Borrego IRS, Navarrete NN, Peralta-Ramirez MI, Águila FJ, Caballo VE. Efficacy of cognitive-behavioural therapy for lifestyle modification in metabolic syndrome: a randomised controlled trial with a 18-months follow-up. Psychol Health 2024; 39:195-215. [PMID: 35345950 DOI: 10.1080/08870446.2022.2055023] [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: 07/05/2021] [Accepted: 03/14/2022] [Indexed: 10/18/2022]
Abstract
OBJECTIVE To test the efficacy of cognitive-behavioural therapy (CBT) for lifestyle modification in patients with metabolic syndrome (MetS). DESIGN 76 MetS patients completed this clinical trial, with 18 months follow-up. 45 participants from the experimental group (EG - CBT) and 31 to the control group (CG - usual care). The CBT programme was performed by a psychologist in a face-to-face group format, during 12 weekly sessions lasting 90 minutes. The intervention for the CG consisted of workshops with basic information about MetS and it's associated cardiovascular risk. MAIN OUTCOME MEASURES Efficacy of (CBT) in (MetS) patients. RESULTS Results showed reduction in weight (mean difference - MD -2.633, 95%CI [-4.322, -0.943]; p<.003), waist circumference (MD -2.944, 95%CI [-5.090, -0.798]; p<.008), body mass index (MD -0.915, 95%CI [-1.494, -0.335]; p<.003), systolic (MD -0.046, 95%CI [-0.685, -0.023]; p<.0002) diastolic blood pressure (MD -4.777, 95%CI [-7.750, -1.804]; p<.002), and cardiovascular risk score after 18 months. An increase in adherence to the Mediterranean diet and assertiveness and a reduction in anger were observed in EG. The CG did not show any significant differences. CONCLUSION The CBT focused on changes in lifestyle seems to be effective in the reduction of MetS and cardiovascular risk factors. TRIAL REGISTRATION Registered at clinicaltrials.gov (NCT02949622) - PROMETS (Multimodal Intervention Program for Patients with Metabolic Syndrome).
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Affiliation(s)
- Jaqueline Garcia-Silva
- Department of Personality, Assessment and Psychological Treatment, School of Psychology, University of Granada, Granada, Spain
| | | | - Nuria Navarrete Navarrete
- Clinical Management Unit, Department of Internal Medicine, University Hospital Complex of Granada, Granada, Spain
| | - María Isabel Peralta-Ramirez
- Department of Personality, Assessment and Psychological Treatment, School of Psychology, University of Granada, Granada, Spain
- CIMCYC: Centre for Mind, Brain and Behavioural Research, University of Granada, Granada, Spain
| | - Fernando Jaén Águila
- Hypertension and Vascular Risk Unit, Department of Internal Medicine, University Hospital Complex of Granada, Granada, Spain
| | - Vicente E Caballo
- Department of Personality, Assessment and Psychological Treatment, School of Psychology, University of Granada, Granada, Spain
- CIMCYC: Centre for Mind, Brain and Behavioural Research, University of Granada, Granada, Spain
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2
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Yang Y, Zhang D, Yuan G, Wu Y, Huang X. Association between nut consumption and frailty in the elderly: a large sample cross-sectional study. J Hum Nutr Diet 2023; 36:1845-1856. [PMID: 37448140 DOI: 10.1111/jhn.13208] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 06/26/2023] [Indexed: 07/15/2023]
Abstract
BACKGROUND Limited literature has addressed the impact of nut consumption in mitigating frailty. This study aimed to investigate the association between nut consumption and frailty among Americans aged above 60 years, employing two 24-h dietary recalls for analysis. METHODS The data sets of the National Health and Nutrition Examination Survey (NHANES) (2003-2018) and the Food Patterns Equivalents Database were utilised for a weighted multiple logistic regression model to evaluate the association between nut consumption and frailty in elderly adults. Furthermore, a restricted cubic spline model was employed to investigate the nonlinear relationship between nut intake and frailty. Besides, stratified and interaction analyses were conducted to explore the sensitivity of nut consumption in reducing the risk of frailty in diverse subgroups. RESULTS The research study comprised 10,033 individuals aged 60 years or above, of whom 3591 were classified as frailty and 5302 consumed nuts. In the multivariate logistic regression analysis that adjusted for covariates, the weighted multivariate adjusted odds ratios demonstrated that the prevalence of frailty was lower in the nut intake group than in nonconsumers. The stratified analysis indicated that nearly all subgroups who consumed nuts had a significantly lower risk of frailty compared to nonconsumers, and an interaction was observed between nut intake and nonhypertensive populations. The optimal threshold for nut intake to decrease the risk of frailty was identified as 1.02 ounces. CONCLUSIONS The study concluded that nut consumption has a constructive impact on averting frailty in elderly adults, particularly in nonhypertensive individuals. Nut intake of ~1.02 ounces per day is advantageous in improving the quality of life in elderly adults.
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Affiliation(s)
- Yaqin Yang
- The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Duo Zhang
- The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Guowei Yuan
- The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yuchi Wu
- Department of Nephrology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China
| | - Xinyan Huang
- Hengyang Hospital of Traditional Chinese Medicine, Hunan, Hengyang, China
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3
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Zuelch ML, Radtke MD, Holt RR, Basu A, Burton-Freeman B, Ferruzzi MG, Li Z, Shay NF, Shukitt-Hale B, Keen CL, Steinberg FM, Hackman RM. Perspective: Challenges and Future Directions in Clinical Research with Nuts and Berries. Adv Nutr 2023; 14:1005-1028. [PMID: 37536565 PMCID: PMC10509432 DOI: 10.1016/j.advnut.2023.07.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 07/11/2023] [Accepted: 07/31/2023] [Indexed: 08/05/2023] Open
Abstract
Consumption of nuts and berries are considered part of a healthy eating pattern. Nuts and berries contain a complex nutrient profile consisting of essential vitamins and minerals, fiber, polyunsaturated fatty acids, and phenolics in quantities that improve physiological outcomes. The spectrum of health outcomes that may be impacted by the consumptions of nuts and berries includes cardiovascular, gut microbiome, and cognitive, among others. Recently, new insights regarding the bioactive compounds found in both nuts and berries have reinforced their role for use in precision nutrition efforts. However, challenges exist that can affect the generalizability of outcomes from clinical studies, including inconsistency in study designs, homogeneity of test populations, variability in test products and control foods, and assessing realistic portion sizes. Future research centered on precision nutrition and multi-omics technologies will yield new insights. These and other topics such as funding streams and perceived risk-of-bias were explored at an international nutrition conference focused on the role of nuts and berries in clinical nutrition. Successes, challenges, and future directions with these foods are presented here.
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Affiliation(s)
- Michelle L Zuelch
- Department of Nutrition, University of California, Davis, CA, United States
| | - Marcela D Radtke
- Department of Nutrition, University of California, Davis, CA, United States
| | - Roberta R Holt
- Department of Nutrition, University of California, Davis, CA, United States
| | - Arpita Basu
- Department of Kinesiology and Nutrition Sciences, School of Integrated Health Sciences, University of Nevada, Las Vegas, NV, United States
| | - Britt Burton-Freeman
- Department of Food Science and Nutrition, Illinois Institute of Technology, Chicago, IL, United States
| | - Mario G Ferruzzi
- Department of Pediatrics, Arkansas Children's Nutrition Center, University of Arkansas for Medical Sciences, Little Rock, AR, United States
| | - Zhaoping Li
- UCLA Center for Human Nutrition, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States
| | - Neil F Shay
- Department of Food Science and Technology, Oregon State University, Corvallis, OR, United States
| | - Barbara Shukitt-Hale
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, United States
| | - Carl L Keen
- Department of Nutrition, University of California, Davis, CA, United States; Department of Internal Medicine, University of California, Davis, CA, United States
| | | | - Robert M Hackman
- Department of Nutrition, University of California, Davis, CA, United States.
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4
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Wong THT, George ES, Abbott G, Daly RM, Georgousopoulou EN, Tan SY. Nut and seed consumption is inversely associated with metabolic syndrome in females but not males: findings from the 2005-2018 NHANES data. Eur J Nutr 2023; 62:2415-2427. [PMID: 37115204 PMCID: PMC10421777 DOI: 10.1007/s00394-023-03157-1] [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: 07/29/2022] [Accepted: 04/18/2023] [Indexed: 04/29/2023]
Abstract
PURPOSE To assess the association between nut and seed consumption, both combined and separately, and metabolic syndrome and its components, including fasting glucose, triglycerides, high-density lipoprotein (HDL) cholesterol, central obesity, and blood pressure. METHODS This cross-sectional analysis used data from 22,687 adults (aged ≥ 18 years) involved in seven cycles (2005-2018) of the National Health and Nutrition Examination Survey (NHANES). Habitual nut and seed intakes were estimated by the Multiple Source Method using data from two 24-h dietary recalls. Metabolic syndrome was ascertained using biochemical data and self-reported medication use. Sex-specific effect estimates were obtained using logistic and linear regressions adjusting for lifestyle and socioeconomic confounders. RESULTS Compared to non-consumers, female, but not male, habitual consumers of either nuts or seeds had lower odds of having metabolic syndrome (OR: 0.83, 95% CI 0.71, 0.97). Both nut intake alone and seed intake alone were inversely associated with high fasting glucose and low HDL-cholesterol in females compared to non-consumers. When restricted to habitual consumers only, the combined intake of nuts and seeds at 6 g/day was associated with the lowest triglycerides and highest HDL-cholesterol in females. Combined consumption of nuts and seeds up to one ounce-equivalent (15 g) per day, but not in higher intake levels, was inversely associated with metabolic syndrome, high fasting glucose, central obesity, and low HDL-cholesterol in females. CONCLUSIONS Nut and seed consumption, both separately or combined, below 15 g/day was inversely associated with metabolic syndrome and its component conditions in females but not males.
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Affiliation(s)
- Tommy H T Wong
- School of Public Health, Li Ka Shing, Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
| | - Elena S George
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, 3220, Australia
| | - Gavin Abbott
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, 3220, Australia
| | - Robin M Daly
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, 3220, Australia
| | | | - Sze-Yen Tan
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, 3220, Australia.
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5
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Ni J, Nishi SK, Babio N, Ros E, Basterra-Gortari FJ, Corella D, O C, Martínez JA, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Santos-Lozano JM, Serra-Majem L, Cano-Ibáñez N, Tur JA, Fernández-García JM, Pintó X, Delgado-Rodríguez M, Matía-Martín P, Vidal J, Vázquez C, Daimiel L, Fernández-Aranda F, Ruiz-Canela M, Mestres Solà C, Portolés O, Sala-Vila A, Garcia-Rios A, Compañ-Gabucio LM, Gómez-Gracia E, Zulet MA, Chaplin A, Casas R, Martínez-Diz S, Tojal-Sierra L, Gómez-Pérez AM, Toledo E, Rios S, Ortega-Azorín C, de la Torre R, Peña-Orihuela PJ, Garcia-de la Hera M, Sayón-Orea C, Malcampo M, Salas-Salvadó J. Higher versus lower nut consumption and changes in cognitive performance over two years in a population at risk of cognitive decline: a cohort study. Am J Clin Nutr 2023; 118:360-368. [PMID: 37269908 PMCID: PMC10447472 DOI: 10.1016/j.ajcnut.2023.05.032] [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: 03/16/2023] [Revised: 05/24/2023] [Accepted: 05/30/2023] [Indexed: 06/05/2023] Open
Abstract
BACKGROUND Tree nuts and peanuts (henceforth, nuts) are nutrient-dense foods rich in neuroprotective components; thus, their consumption could benefit cognitive health. However, evidence to date is limited and inconsistent regarding the potential benefits of nuts for cognitive function. OBJECTIVE To prospectively evaluate the association between nut consumption and 2-y changes in cognitive performance in older adults at cognitive decline risk. METHODS A total of 6,630 participants aged 55 to 75 y (mean age 65.0±4.9 y, 48.4% women) with overweight/obesity and metabolic syndrome completed a validated semi-quantitative food frequency questionnaire and a comprehensive battery of neuropsychological tests at baseline and a 2-y follow-up. Composite cognitive scores were used to assess global, general, attention, and executive function domains. Nut consumption was categorized as <1, ≥1 to <3, ≥3 to <7, and ≥7 servings/wk (1 serving=30 g). Multivariable-adjusted linear regression models were fitted to assess associations between baseline nut consumption and 2-y cognitive changes. RESULTS Nut consumption was positively associated with 2-y changes in general cognitive function (P-trend <0.001). Compared with participants consuming <1 serving/wk of nuts, those categorized as consuming ≥3 to <7 and ≥7 servings/wk showed more favorable changes in general cognitive performance (β z-score [95% CI] = 0.06 [0.00,0.12] and 0.13 [0.06,0.20], respectively). No significant changes were observed in the multivariable-adjusted models for other cognitive domains assessed. CONCLUSION Frequent nut consumption was associated with a smaller decline in general cognitive performance over 2 y in older adults at risk of cognitive decline. Randomized clinical trials to verify our findings are warranted.
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Affiliation(s)
- Jiaqi Ni
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Unitat de Nutrició Humana, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain; Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Stephanie K Nishi
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Unitat de Nutrició Humana, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain; Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Toronto 3D (Diet, Digestive Tract and Disease) Knowledge Synthesis and Clinical Trials Unit, Toronto, ON, Canada; Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Unity Health Toronto, ON, Canada
| | - Nancy Babio
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Unitat de Nutrició Humana, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain; Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
| | - Emilio Ros
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Lipid Clinic, Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, Barcelona, Spain
| | - F Javier Basterra-Gortari
- Department of Preventive Medicine and Public Health, Universidad de Navarra, IdiSNA, Pamplona, Spain; Department of Endocrinology and Nutrition, Hospital Universitario de Navarra, IdiSNA, Universidad Pública de Navarra, Pamplona, Spain
| | - Dolores Corella
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Castañer O
- Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d`Investigació Médica (IMIM), Barcelona, Spain
| | - J Alfredo Martínez
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, IdiSNA, Pamplona, Spain; Precision Nutrition and Cardiometabolic Health Program. IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Ángel M Alonso-Gómez
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area; Osakidetza Basque Health Service, Araba University Hospital; University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; EpiPHAAN research group, School of Health Sciences, University of Malaga - Instituto de Investigación Biomédica en Málaga (IBIMA), Málaga, Spain
| | - Jesús Vioque
- Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández (ISABIAL-UMH). Alicante, Spain
| | - Dora Romaguera
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - José López-Miranda
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Ramon Estruch
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain; Institut de Recerca en Nutrició i Seguretata Alimentaria (INSA-UB). University of Barcelona, Barcelona, Spain
| | - Francisco J Tinahones
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Virgen de la Victoria Hospital, Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA). University of Málaga, Málaga, Spain
| | - José Manuel Santos-Lozano
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Lluís Serra-Majem
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria & Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas de Gran Canaria, Spain
| | - Naomi Cano-Ibáñez
- Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain; Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Granada, Spain
| | - Josep A Tur
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
| | - José Manuel Fernández-García
- Medicina Familiar y Comunitaria. Grupo de trabajo de Nutrición, Sociedad Española de Médicos de Atención Primaria (SEMERGEN), Centro de Salud de Valga, Pontevedra, Spain; Department of Psychiatry, Radiology, Public Health, Nursing and Medicine, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Xavier Pintó
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge-IDIBELL, Hospitalet de Llobregat, Barcelona Spain
| | - Miguel Delgado-Rodríguez
- Precision Nutrition and Cardiometabolic Health Program. IMDEA Food, CEI UAM + CSIC, Madrid, Spain; Division of Preventive Medicine, Faculty of Medicine, University of Jaén, Jaén, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Josep Vidal
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain; Department of Endocrinology, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Clotilde Vázquez
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Endocrinology and Nutrition, Hospital Fundación Jimenez Díaz. Instituto de Investigaciones Biomédicas IISFJD. University Autonoma, Madrid, Spain
| | - Lidia Daimiel
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Nutritional Control of the Epigenome Group. Precision Nutrition and Obesity Program. IMDEA Food, CEI UAM + CSIC, Madrid, Spain; Departamento de Ciencias Farmacéuticas y de la Salud, Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, 28660 Boadilla del Monte, Spain
| | - Fernando Fernández-Aranda
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Clinical Psychology Unit, University Hospital of Bellvitge-Instituto de Investigación Biomédica de Bellvitge (IDIBELL), Barcelona, Spain; Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
| | - Miguel Ruiz-Canela
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health, Universidad de Navarra, IdiSNA, Pamplona, Spain
| | | | - Olga Portolés
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Aleix Sala-Vila
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d`Investigació Médica (IMIM), Barcelona, Spain
| | - Antonio Garcia-Rios
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Laura María Compañ-Gabucio
- Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández (ISABIAL-UMH). Alicante, Spain
| | - Enrique Gómez-Gracia
- Preventive Medicine and Public Health Department, School of Medicine, University of Málaga, 29010 Malaga, Spain; Biomedical Research Institute of Malaga-IBIMA Plataforma BIONAND, 29010 Malaga, Spain
| | - M Angeles Zulet
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, IdiSNA, Pamplona, Spain
| | - Alice Chaplin
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Rosa Casas
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain; Institut de Recerca en Nutrició i Seguretata Alimentaria (INSA-UB). University of Barcelona, Barcelona, Spain
| | - Silvia Martínez-Diz
- Service of Preventive Medicine and Public Health, Hospital Universitario Clínico San Cecilio, 18016 Granada, Spain
| | - Lucas Tojal-Sierra
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area; Osakidetza Basque Health Service, Araba University Hospital; University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Ana María Gómez-Pérez
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Virgen de la Victoria Hospital, Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA). University of Málaga, Málaga, Spain
| | - Estefanía Toledo
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health, Universidad de Navarra, IdiSNA, Pamplona, Spain
| | - Santiago Rios
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Unitat de Nutrició Humana, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain; Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Carolina Ortega-Azorín
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Rafael de la Torre
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Integrative Pharmacology and Systems Neurosciences Research Group, Hospital del Mar Medical Research Institute, Barcelona, Spain; Department of Medicine and Life Sciences (MELIS), Universitat Pompeu Fabra, Barcelona, Spain
| | - Patricia J Peña-Orihuela
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Manuela Garcia-de la Hera
- Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández (ISABIAL-UMH). Alicante, Spain
| | - Carmen Sayón-Orea
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health, Universidad de Navarra, IdiSNA, Pamplona, Spain
| | - Mireia Malcampo
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d`Investigació Médica (IMIM), Barcelona, Spain
| | - Jordi Salas-Salvadó
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental (ANUT-DSM), Unitat de Nutrició Humana, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain; Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
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6
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Farias-Pereira R, Zuk JB, Khavaran H. Plant bioactive compounds from Mediterranean diet improve risk factors for metabolic syndrome. Int J Food Sci Nutr 2023; 74:403-423. [PMID: 37415346 PMCID: PMC10399461 DOI: 10.1080/09637486.2023.2232949] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 06/21/2023] [Accepted: 06/29/2023] [Indexed: 07/08/2023]
Abstract
Mediterranean (Med) dietary pattern consists of moderate or high consumption of foods that are linked to reduced risk factors for metabolic syndrome (MetS). This comprehensive review evaluates studies on Med diet-representative foods and beverages, such as red wine and olive oil, to understand the inverse associations of Med diet and MetS. The intake of dietary fibre, unsaturated fatty acids, vitamins, and polyphenols - including flavonoids and stilbenes - help to explain the benefits of Med diet on abdominal adiposity, glucose intolerance, hyperlipidaemia, and high blood pressure to some extent. Antioxidant and anti-inflammatory properties of polyphenols as well as the effects of unsaturated fatty acids on lipid metabolism are part of the underlying mechanisms. Overall, this review shows that dietary interventions using Med diet components improve MetS health markers in humans and/or rodents.
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Affiliation(s)
- Renalison Farias-Pereira
- Department of Plant Biology, School of Environmental and Biological Sciences, Rutgers, The State University of New Jersey, New Brunswick, NJ, USA
| | - Joshua B. Zuk
- Department of Plant Biology, School of Environmental and Biological Sciences, Rutgers, The State University of New Jersey, New Brunswick, NJ, USA
| | - Hannah Khavaran
- Department of Plant Biology, School of Environmental and Biological Sciences, Rutgers, The State University of New Jersey, New Brunswick, NJ, USA
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7
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Heshmatipour H, Hajhashemy Z, Mirzaei S, Asadi A, Akhlaghi M, Saneei P. Association of legumes and nuts consumption with metabolic health status in Iranian overweight and obese adolescents. Sci Rep 2023; 13:5784. [PMID: 37031265 PMCID: PMC10082840 DOI: 10.1038/s41598-023-32961-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Accepted: 04/05/2023] [Indexed: 04/10/2023] Open
Abstract
Limited data are available on the association of legumes and nuts consumption with health status in pediatrics. So, we assessed the relation of legumes and nuts intake with metabolic health status in Iranian adolescents. A random sample of overweight/obese adolescents aged 12 to 18 years was included in this cross-sectional study. Dietary intakes were gathered using a validated 147-item food frequency questionnaire (FFQ). We measured metabolic indices including blood pressure, lipid profile, glycemic and anthropometrics indices. Two strategies were used for classification of adolescents to metabolically healthy obese (MHO) or unhealthy obese (MUO): International Diabetes Federation (IDF) and combination of IDF with Homeostasis Model Assessment Insulin Resistance (HOMA-IR). Information on 203 overweight/obese adolescents (50.2% girls and 49.8% boys) with an average age of 13.98 (± 1.61) years and a mean weight of 73.48 (± 11.60) kg/m2 was evaluated. Based on the IDF and IDF/HOMA-IR definition, higher consumption of legumes and nuts consumption was related to a 66% and 61% decreased odds of MUO in crude model (OR = 0.34, 95%CI 0.17-0.69), (OR = 0.39, 95%CI 0.19-0.80); but in fully-adjusted model, these relations disappeared. After adjustment for potential cofounders, an inverse association was found between legumes and nuts consumption and odds of hyperglycemia (OR = 0.35, 95%CI 0.16-0.78). Moreover, although inverse significant associations were found between legumes and nuts consumption and odds of MUO in girls and overweight subjects in crude models, these associations disappeared after adjustment for all confounders. After taking potential confounders into account, no significant association was found between consumption of legumes and nuts and MUO in Iranian adolescents. The findings should be affirmed by further prospective studies.
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Affiliation(s)
- Houri Heshmatipour
- Department of Community Nutrition, School of Nutrition and Food Science, Nutrition and Food Security Research Center, Students' Research Committee, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Zahra Hajhashemy
- Department of Community Nutrition, School of Nutrition and Food Science, Nutrition and Food Security Research Center, Students' Research Committee, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Saeideh Mirzaei
- Department of Community Nutrition, School of Nutrition and Food Science, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Ali Asadi
- Department of Exercise Physiology, School of Physical Education and Sport Sciences, University of Tehran, Tehran, Iran
| | - Masoumeh Akhlaghi
- Department of Community Nutrition, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Parvane Saneei
- Department of Community Nutrition, School of Nutrition and Food Science, Nutrition and Food Security Research Center, Isfahan University of Medical Sciences, Isfahan, PO Box 81745-151, Iran.
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8
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Shi J, Fang H, Guo Q, Yu D, Ju L, Cheng X, Piao W, Xu X, Li Z, Mu D, Zhao L, He L. Association of Dietary Patterns with Metabolic Syndrome in Chinese Children and Adolescents Aged 7–17: The China National Nutrition and Health Surveillance of Children and Lactating Mothers in 2016–2017. Nutrients 2022; 14:nu14173524. [PMID: 36079782 PMCID: PMC9460434 DOI: 10.3390/nu14173524] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 08/22/2022] [Accepted: 08/22/2022] [Indexed: 11/24/2022] Open
Abstract
This study aims to determine the associations of dietary patterns with metabolic syndrome (MetS) and its components in Chinese children and adolescents aged 7–17 in 2016–2017. Using the data from the China National Nutrition and Health Surveillance of Children and Lactating Mothers in 2016–2017, the sociodemographic information, diet, anthropometric measurements and clinical examinations of subjects were obtained, and a total of 13,071 school-aged children and adolescents were included in this study. The Cook criteria were used to define MetS and its components. Dietary intake was derived from 24-h dietary records for three consecutive days, combined with the weighing method. Factor analysis was used to identify major dietary patterns. The associations of dietary patterns with MetS and its components were examined by logistic regression analysis. Consequently, five distinct dietary patterns were identified by factor analysis, and the relationships between dietary patterns with MetS and its components were observed. After adjusting for covariates, the animal product and vegetable patterns may have a positive association with MetS; the condiment pattern was positively associated with low HDL-C; the fruit and junk food patterns had positive relationships with MetS, abdominal obesity and high TG; the cereals and tubers pattern was positively associated with MetS, abdominal obesity, high TG and low HDL-C; the beans pattern was positively associated with high TG.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | - Li He
- Correspondence: ; Tel.: +86-010-6623-7033
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9
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Effects of 2-Year Nutritional and Lifestyle Intervention on Oxidative and Inflammatory Statuses in Individuals of 55 Years of Age and over at High Cardiovascular Risk. Antioxidants (Basel) 2022; 11:antiox11071326. [PMID: 35883817 PMCID: PMC9312253 DOI: 10.3390/antiox11071326] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 06/30/2022] [Accepted: 07/04/2022] [Indexed: 11/16/2022] Open
Abstract
Obesity and overweight are disorders with high impact on the morbidity and mortality of chronic diseases, such as type 2 diabetes mellitus (T2DM) and cardiovascular diseases (CVD). We aim to assess the effects of 2-year nutritional and lifestyle intervention on oxidative and inflammatory status in individuals of 55 years of age and over at high CVD risk. Participants (n = 100 individuals of 55 years of age and over living in the Balearic Islands, Spain) were randomized into control and intervention group. Anthropometric and haematological parameters, blood pressure and physical activity were measured before and after the intervention. Oxidative and inflammatory biomarkers in plasma, urine, peripheral blood mononuclear cells (PBMCs) and neutrophils were determined. A higher reduction in abdominal obesity, blood pressure and triglycerides levels was observed after a 2-year intervention. An improvement of oxidative stress and proinflammatory status was demonstrated with a significant reduction in myeloperoxidase, xanthine oxidase, malondialdehyde and monocyte chemoattractant protein-1 (MCP1) levels, and an increase in polyphenols in plasma was observed. A decrease in reactive oxygen species production in PBMCs and neutrophils levels after zymosan and lipopolysaccharide activation was found in the intervention group with respect to the control group. The intervention with hypocaloric Mediterranean Diet and customized physical activity improves oxidative stress and proinflammatory status and could contribute to decreasing the CVD risk.
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10
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Braesco V, Ros E, Govindji A, Bianchi C, Becqueriaux L, Quick B. A Slight Adjustment of the Nutri-Score Nutrient Profiling System Could Help to Better Reflect the European Dietary Guidelines Regarding Nuts. Nutrients 2022; 14:nu14132668. [PMID: 35807847 PMCID: PMC9268614 DOI: 10.3390/nu14132668] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 06/23/2022] [Accepted: 06/25/2022] [Indexed: 02/01/2023] Open
Abstract
The consumption of nuts remains low among European populations despite widespread inclusion as a recommended food group across European dietary guidelines. Front-of-Pack nutrition labelling systems are designed to support consumers make healthier choices and to stimulate product improvement, thus representing a pivotal opportunity to reduce the gap between intakes and recommendations. This study examined how the Nutri-Score algorithm treats nuts and nut-containing products and tested whether slight adjustments could better recognise and motivate nut inclusion in foods and diets. The nutritional score (ScN) and corresponding Nutri-Score letter of 68 nuts and nut-containing products were calculated, using the initial algorithm and slight adjustments, where nut weight was doubled (S1), saturated fats (S2) or energy (S3) from nuts were discounted, or saturated fats were replaced by the saturated fats/lipid ratio (S4). The correlation between the nuts’ content and the ScN was moderate for the initial algorithm (R2 = 0.34) and S1 (R2 = 0.36), but improved for S2, S3 and S4 (R2 = 0.54, 0.55 and 0.52, respectively). Four plain nuts, initially labelled as “B” or “C” obtained a Nutri-Score “A” with S2, S3 and S4. Slight adjustments could better align the Nutri-Score with food-based dietary guidelines, reassure consumers on healthfulness of nuts and nut-containing products, whilst incentivising the inclusion of nuts in diverse foods.
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Affiliation(s)
- Véronique Braesco
- VAB-Nutrition, 63100 Clermont-Ferrand, France;
- Correspondence: ; Tel.: +33-473614414
| | - Emilio Ros
- Lipid Clinic, Endocrinology and Nutrition Service, Institut d’Investigacions Biomediques August Pi Sunyer, Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain;
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | | | | | - Lise Becqueriaux
- General Mills, Bell Institute of Health and Nutrition, Minneapolis, MN 55427, USA; (L.B.); (B.Q.)
| | - Belinda Quick
- General Mills, Bell Institute of Health and Nutrition, Minneapolis, MN 55427, USA; (L.B.); (B.Q.)
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11
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Nuts and Metabolic Syndrome: Reducing the Burden of Metabolic Syndrome in Menopause. Nutrients 2022; 14:nu14081677. [PMID: 35458240 PMCID: PMC9028023 DOI: 10.3390/nu14081677] [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: 03/13/2022] [Revised: 04/06/2022] [Accepted: 04/13/2022] [Indexed: 12/04/2022] Open
Abstract
Menopause imposes a dramatic fall in estrogens, which is followed by an increase in the proportion of fat. The rising androgen/estrogen ratio along the menopause transition favors the accumulation of central fat, which contributes to insulin resistance and a series of concatenated effects, leading to a higher incidence of metabolic syndrome. The modulatory effect of diet on the metabolic syndrome phenotype has been shown for the Mediterranean diet, and nuts are key determinants of these health benefits. This review of the impact of nuts on the risk factors of the metabolic syndrome cluster examined studies—prioritizing meta-analyses and systemic reviews—to summarize the potential benefits of nut ingestion on the risk of metabolic syndrome associated with menopause. Nuts have a general composition profile that includes macronutrients, with a high proportion of unsaturated fat, bioactive compounds, and fiber. The mechanisms set in motion by nuts have shown different levels of efficacy against the disturbances associated with metabolic syndrome, but a beneficial impact on lipids and carbohydrate metabolism, and a potential, but minimal reduction in blood pressure and fat accumulation have been found.
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12
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Luna-Castillo KP, Olivares-Ochoa XC, Hernández-Ruiz RG, Llamas-Covarrubias IM, Rodríguez-Reyes SC, Betancourt-Núñez A, Vizmanos B, Martínez-López E, Muñoz-Valle JF, Márquez-Sandoval F, López-Quintero A. The Effect of Dietary Interventions on Hypertriglyceridemia: From Public Health to Molecular Nutrition Evidence. Nutrients 2022; 14:nu14051104. [PMID: 35268076 PMCID: PMC8912493 DOI: 10.3390/nu14051104] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 02/26/2022] [Accepted: 03/03/2022] [Indexed: 11/16/2022] Open
Abstract
Approximately 25–50% of the population worldwide exhibits serum triglycerides (TG) (≥150 mg/dL) which are associated with an increased level of highly atherogenic remnant-like particles, non-alcoholic fatty liver disease, and pancreatitis risk. High serum TG levels could be related to cardiovascular disease, which is the most prevalent cause of mortality in Western countries. The etiology of hypertriglyceridemia (HTG) is multifactorial and can be classified as primary and secondary causes. Among the primary causes are genetic disorders. On the other hand, secondary causes of HTG comprise lifestyle factors, medical conditions, and drugs. Among lifestyle changes, adequate diets and nutrition are the initial steps to treat and prevent serum lipid alterations. Dietary intervention for HTG is recommended in order to modify the amount of macronutrients. Macronutrient distribution changes such as fat or protein, low-carbohydrate diets, and caloric restriction seem to be effective strategies in reducing TG levels. Particularly, the Mediterranean diet is the dietary pattern with the most consistent evidence for efficacy in HTG while the use of omega-3 supplements consumption is the dietary component with the highest number of randomized clinical trials (RCT) carried out with effective results on reducing TG. The aim of this review was to provide a better comprehension between human nutrition and lipid metabolism.
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Affiliation(s)
- Karla Paulina Luna-Castillo
- Doctorado en Ciencias de la Nutrición Traslacional, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdeG), Guadalajara 44340, Jalisco, Mexico; (K.P.L.-C.); (X.C.O.-O.); (R.G.H.-R.); (I.M.L.-C.); (S.C.R.-R.); (A.B.-N.); (B.V.); (E.M.-L.); (J.F.M.-V.)
| | - Xochitl Citlalli Olivares-Ochoa
- Doctorado en Ciencias de la Nutrición Traslacional, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdeG), Guadalajara 44340, Jalisco, Mexico; (K.P.L.-C.); (X.C.O.-O.); (R.G.H.-R.); (I.M.L.-C.); (S.C.R.-R.); (A.B.-N.); (B.V.); (E.M.-L.); (J.F.M.-V.)
| | - Rocío Guadalupe Hernández-Ruiz
- Doctorado en Ciencias de la Nutrición Traslacional, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdeG), Guadalajara 44340, Jalisco, Mexico; (K.P.L.-C.); (X.C.O.-O.); (R.G.H.-R.); (I.M.L.-C.); (S.C.R.-R.); (A.B.-N.); (B.V.); (E.M.-L.); (J.F.M.-V.)
| | - Iris Monserrat Llamas-Covarrubias
- Doctorado en Ciencias de la Nutrición Traslacional, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdeG), Guadalajara 44340, Jalisco, Mexico; (K.P.L.-C.); (X.C.O.-O.); (R.G.H.-R.); (I.M.L.-C.); (S.C.R.-R.); (A.B.-N.); (B.V.); (E.M.-L.); (J.F.M.-V.)
- Instituto de Nutrigenética y Nutrigenómica Traslacional, CUCS, UdeG, Guadalajara 44340, Jalisco, Mexico
| | - Saraí Citlalic Rodríguez-Reyes
- Doctorado en Ciencias de la Nutrición Traslacional, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdeG), Guadalajara 44340, Jalisco, Mexico; (K.P.L.-C.); (X.C.O.-O.); (R.G.H.-R.); (I.M.L.-C.); (S.C.R.-R.); (A.B.-N.); (B.V.); (E.M.-L.); (J.F.M.-V.)
- Instituto de Nutrigenética y Nutrigenómica Traslacional, CUCS, UdeG, Guadalajara 44340, Jalisco, Mexico
| | - Alejandra Betancourt-Núñez
- Doctorado en Ciencias de la Nutrición Traslacional, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdeG), Guadalajara 44340, Jalisco, Mexico; (K.P.L.-C.); (X.C.O.-O.); (R.G.H.-R.); (I.M.L.-C.); (S.C.R.-R.); (A.B.-N.); (B.V.); (E.M.-L.); (J.F.M.-V.)
| | - Barbara Vizmanos
- Doctorado en Ciencias de la Nutrición Traslacional, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdeG), Guadalajara 44340, Jalisco, Mexico; (K.P.L.-C.); (X.C.O.-O.); (R.G.H.-R.); (I.M.L.-C.); (S.C.R.-R.); (A.B.-N.); (B.V.); (E.M.-L.); (J.F.M.-V.)
- Instituto de Nutrigenética y Nutrigenómica Traslacional, CUCS, UdeG, Guadalajara 44340, Jalisco, Mexico
| | - Erika Martínez-López
- Doctorado en Ciencias de la Nutrición Traslacional, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdeG), Guadalajara 44340, Jalisco, Mexico; (K.P.L.-C.); (X.C.O.-O.); (R.G.H.-R.); (I.M.L.-C.); (S.C.R.-R.); (A.B.-N.); (B.V.); (E.M.-L.); (J.F.M.-V.)
- Instituto de Nutrigenética y Nutrigenómica Traslacional, CUCS, UdeG, Guadalajara 44340, Jalisco, Mexico
| | - José Francisco Muñoz-Valle
- Doctorado en Ciencias de la Nutrición Traslacional, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdeG), Guadalajara 44340, Jalisco, Mexico; (K.P.L.-C.); (X.C.O.-O.); (R.G.H.-R.); (I.M.L.-C.); (S.C.R.-R.); (A.B.-N.); (B.V.); (E.M.-L.); (J.F.M.-V.)
- Instituto de Investigación en Ciencias Biomédicas, CUCS, UdeG, Guadalajara 44340, Jalisco, Mexico
| | - Fabiola Márquez-Sandoval
- Doctorado en Ciencias de la Nutrición Traslacional, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdeG), Guadalajara 44340, Jalisco, Mexico; (K.P.L.-C.); (X.C.O.-O.); (R.G.H.-R.); (I.M.L.-C.); (S.C.R.-R.); (A.B.-N.); (B.V.); (E.M.-L.); (J.F.M.-V.)
- Instituto de Nutrigenética y Nutrigenómica Traslacional, CUCS, UdeG, Guadalajara 44340, Jalisco, Mexico
- Correspondence: (F.M.-S.); (A.L.-Q.); Tel.: +52-(33)1058-5200 (ext. 33644 or 33704) (F.M.-S.)
| | - Andres López-Quintero
- Doctorado en Ciencias de la Nutrición Traslacional, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdeG), Guadalajara 44340, Jalisco, Mexico; (K.P.L.-C.); (X.C.O.-O.); (R.G.H.-R.); (I.M.L.-C.); (S.C.R.-R.); (A.B.-N.); (B.V.); (E.M.-L.); (J.F.M.-V.)
- Instituto de Nutrigenética y Nutrigenómica Traslacional, CUCS, UdeG, Guadalajara 44340, Jalisco, Mexico
- Correspondence: (F.M.-S.); (A.L.-Q.); Tel.: +52-(33)1058-5200 (ext. 33644 or 33704) (F.M.-S.)
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Wang P, Li CG, Zhou X, Ding S. Transcription factor EB enhances autophagy and ameliorates palmitate-induced insulin resistance at least partly via upregulating AMPK activity in skeletal muscle cells. Clin Exp Pharmacol Physiol 2021; 49:302-310. [PMID: 34614219 DOI: 10.1111/1440-1681.13600] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 10/01/2021] [Accepted: 10/01/2021] [Indexed: 12/22/2022]
Abstract
This study aimed to elucidate the role of transcription factor EB (TFEB) in protecting C2C12 myotubes against palmitate (PA)-induced insulin resistance (IR) and explored its mechanism associated with autophagy. PA treatment significantly decreased insulin sensitivity in myotubes and downregulated TFEB protein expression. TFEB overexpression significantly reversed the PA-suppressed glucose transporter 4 (GLUT4) protein expression and improved intracellular glucose uptake and consumption, and also alleviated the decrease of autophagy markers induced by PA. The effect of TFEB overexpression on GLUT4 was also abolished by the autophagy inhibitor 3-MA. In addition, AMPKɑ2-DN inhibited or abolished the effects of TFEB overexpression on upregulation of GLUT4 and PA-induced decrease of autophagy marker expressions. Taken together, our data demonstrated that upregulation of TFEB improved PA-induced IR in C2C12 myotubes by enhancing autophagy and upregulating AMPK activity. TFEB, as a critical regulator of glucose homeostasis in skeletal muscle cells, may be a potential therapeutic target for IR and Type 2 diabetes.
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Affiliation(s)
- Ping Wang
- School of Physical Education, Hangzhou Normal University, Hangzhou, China
| | - Chun Guang Li
- NICM Health Research Institute, Western Sydney University, Westmead, New South Wales, Australia
| | - Xian Zhou
- NICM Health Research Institute, Western Sydney University, Westmead, New South Wales, Australia
| | - Shuzhe Ding
- Key Laboratory of Adolescent Health Assessment and Exercise Intervention, Ministry of Education, East China Normal University, Shanghai, China.,School of Physical Education & Health, East China Normal University, Shanghai, China
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14
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Fernández-Rodríguez R, Mesas AE, Garrido-Miguel M, Martínez-Ortega IA, Jiménez-López E, Martínez-Vizcaíno V. The Relationship of Tree Nuts and Peanuts with Adiposity Parameters: A Systematic Review and Network Meta-Analysis. Nutrients 2021; 13:nu13072251. [PMID: 34208812 PMCID: PMC8308485 DOI: 10.3390/nu13072251] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 06/21/2021] [Accepted: 06/28/2021] [Indexed: 02/07/2023] Open
Abstract
The network meta-analysis and systematic review conducted aim to comparatively assess the effects of tree nuts and peanuts on body weight (BW), body mass index (BMI), waist circumference (WC), and body fat percentage (BF%). A systematic search up to 31 December 2020 was performed. A random-effects network meta-analysis was conducted following the PRISMA-NMA statement. A total of 105 randomized controlled trials (RCTs) with measures of BW (n = 6768 participants), BMI (n = 2918), WC (n = 5045), and BF% (n = 1226) were included. The transitivity assumption was met based on baseline characteristics. In the comparisons of nut consumption versus a control diet, there was no significant increase observed in any of the adiposity-related measures examined except for hazelnut-enriched diets, which raised WC. Moreover, almond-enriched diets significantly reduced WC compared to the control diet and to the pistachio-, mixed nuts-, and hazelnut-enriched diets. In subgroup analyses with only RCTs, designed to assess whether nut consumption affected weight loss, almonds were associated with reduced BMI and walnuts with reduced %BF. The evidence supports that: (1) tree nut and peanut consumption do not influence adiposity, and (2) compared to a control diet, the consumption of almond-enriched diets was associated with a reduced waist circumference.
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Affiliation(s)
- Rubén Fernández-Rodríguez
- Health and Social Research Center, Universidad de Castilla La-Mancha, 16071 Cuenca, Spain; (R.F.-R.); (M.G.-M.); (I.A.M.-O.); (E.J.-L.); (V.M.-V.)
| | - Arthur E. Mesas
- Health and Social Research Center, Universidad de Castilla La-Mancha, 16071 Cuenca, Spain; (R.F.-R.); (M.G.-M.); (I.A.M.-O.); (E.J.-L.); (V.M.-V.)
- Health Science Centre, Universidade Estadual de Londrina, Londrina 86038-350, Brazil
- Correspondence: ; Tel.: +34-969179100 (ext. 4686)
| | - Miriam Garrido-Miguel
- Health and Social Research Center, Universidad de Castilla La-Mancha, 16071 Cuenca, Spain; (R.F.-R.); (M.G.-M.); (I.A.M.-O.); (E.J.-L.); (V.M.-V.)
- Facultad de Enfermería, Universidad de Castilla-La Mancha, 02006 Albacete, Spain
| | - Isabel A. Martínez-Ortega
- Health and Social Research Center, Universidad de Castilla La-Mancha, 16071 Cuenca, Spain; (R.F.-R.); (M.G.-M.); (I.A.M.-O.); (E.J.-L.); (V.M.-V.)
| | - Estela Jiménez-López
- Health and Social Research Center, Universidad de Castilla La-Mancha, 16071 Cuenca, Spain; (R.F.-R.); (M.G.-M.); (I.A.M.-O.); (E.J.-L.); (V.M.-V.)
| | - Vicente Martínez-Vizcaíno
- Health and Social Research Center, Universidad de Castilla La-Mancha, 16071 Cuenca, Spain; (R.F.-R.); (M.G.-M.); (I.A.M.-O.); (E.J.-L.); (V.M.-V.)
- Facultad de Ciencias de la Salud, Universidad Autónoma de Chile, Talca 1101, Chile
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Bakaloudi DR, Chrysoula L, Kotzakioulafi E, Theodoridis X, Chourdakis M. Impact of the Level of Adherence to Mediterranean Diet on the Parameters of Metabolic Syndrome: A Systematic Review and Meta-Analysis of Observational Studies. Nutrients 2021; 13:1514. [PMID: 33946280 PMCID: PMC8146502 DOI: 10.3390/nu13051514] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 04/24/2021] [Accepted: 04/28/2021] [Indexed: 12/18/2022] Open
Abstract
High adherence to the Mediterranean diet (MD) has been associated with a lower prevalence of Metabolic Syndrome (MetS). The present study aimed to investigate the impact of MD adherence on parameters of MetS. A systematic literature search was performed in PubMed, Cochrane Central Registry of Clinical Trials (CENTRAL), Scopus, EMBASE, Web of Science and Google Scholar databases. Observational studies that recorded adherence to MD and components/measures of the MetS, such as waist circumference (WC), blood pressure (BP), fasting blood glucose (FBG), high-density lipoprotein (HDL) cholesterol and triglycerides (TG), were included in this study. A total of 58 studies were included in our study. WC and TG were significantly lower in the high adherence MD group (SMD: -0.20, (95%CI: -0.40, -0.01), SMD: -0.27 (95%CI: -0.27, -0.11), respectively), while HDL cholesterol was significantly higher in the same group (SMD: -0.28 (95%CI: 0.07, 0.50). There was no difference in FBG and SBP among the two groups (SMD: -0.21 (95%CI: -0.54, 0.12) & SMD: -0.15 (95%CI: -0.38, 0.07), respectively). MD may have a positive impact on all parameters of MetS. However, further research is needed in this field.
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Affiliation(s)
| | | | | | | | - Michail Chourdakis
- Laboratory of Hygiene, Social & Preventive Medicine and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece; (D.R.B.); (L.C.); (E.K.); (X.T.)
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