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Genetic Variation in the TAS2R38 Bitter Taste Receptor and Gastric Cancer Risk in Koreans. Sci Rep 2016; 6:26904. [PMID: 27245112 PMCID: PMC4887993 DOI: 10.1038/srep26904] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2015] [Accepted: 05/10/2016] [Indexed: 12/21/2022] Open
Abstract
The human TAS2R38 gene encodes a bitter taste receptor that regulates the bitterness perception and differentiation of ingested nutritional/poisonous compounds in the oral cavity and gastrointestinal tract. TAS2R38 gene variants are associated with alterations in individual sensitivity to bitter taste and food intake; hence, these genetic variants may modify the risk for diet-related diseases, including cancer. However, little is known about the association between TAS2R38 polymorphisms and gastric cancer susceptibility. The present case-control study examined the influence of TAS2R38 polymorphisms on food intake and determined whether they predict gastric cancer risk in Koreans. A total of 1,580 subjects, including 449 gastric cancer cases, were genotyped for TAS2R38 A49P, V262A, I296V and diplotypes. Dietary data were analysed to determine the total consumption of energy, fibre, vegetables, fruits, sweets, fats, alcohol and cigarettes. TAS2R38 diplotype was not associated with food, alcohol or cigarette consumption, either independent or dependent of gastric cancer phenotype. However, the PAV/AVI diplotype significantly increased gastric cancer risk (adjusted odds ratio: 1.513; 95% confidence interval: 1.148–1.994) independent of dietary intake. Findings suggest that TAS2R38 may be associated with the risk for gastric cancer in Koreans, although the TAS2R38 diplotype did not influence dietary intake.
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Dietary glycaemic index and glycaemic load among Australian children and adolescents: results from the 2011–2012 Australian Health Survey. Br J Nutr 2016; 116:178-87. [DOI: 10.1017/s0007114516001823] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
AbstractThis study aimed to examine the dietary glycaemic index (GI) and glycaemic load (GL) of Australian children and adolescents, as well as the major food groups contributing to GL, in the recent 2011–2012 Australian Health Survey. Plausible food intake data from 1876 children and adolescents (51 % boys), collected using a multiple-pass 24-h recall, were analysed. The GI of foods was assigned based on a step-wise published method using values from common GI databases. Descriptive statistics were calculated for dietary GI, GL and contribution to GL by food groups, stratified by age group and sex. Linear regression was used to test for trends across age groups for BMI, dietary GI and GL, and intakes of energy, nutrients and food groups. Pearson’s χ2 test was used to test for differences between age groups for categorical subject characteristic variables. Mean dietary GI and GL of participants were 55·5 (sd 5·3) and 137·4 (sd 50·8), respectively. The main contributors to dietary GL were starchy foods: breads, cereal-based dishes, breakfast cereals, flours, grains and potatoes accounted for 41 % of total GL. Sweetened beverages, fruit and vegetable juices/drinks, cake-type desserts and sweet biscuits contributed 15 %. No significant difference (at P<0·001) was observed between sexes. In conclusion, Australian children and adolescents appear to consume diets with a lower GI than European children. Exchanging high-GI foods for low-GI alternatives within core and non-core foods may improve diet quality of Australian children and adolescents.
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Jessri M, Nishi SK, L'Abbe MR. Assessing the nutritional quality of diets of Canadian children and adolescents using the 2014 Health Canada Surveillance Tool Tier System. BMC Public Health 2016; 16:381. [PMID: 27165415 PMCID: PMC4862040 DOI: 10.1186/s12889-016-3038-5] [Citation(s) in RCA: 49] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2015] [Accepted: 02/06/2016] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Health Canada's Surveillance Tool (HCST) Tier System was developed in 2014 with the aim of assessing the adherence of dietary intakes with Eating Well with Canada's Food Guide (EWCFG). HCST uses a Tier system to categorize all foods into one of four Tiers based on thresholds for total fat, saturated fat, sodium, and sugar, with Tier 4 reflecting the unhealthiest and Tier 1 the healthiest foods. This study presents the first application of the HCST to examine (i) the dietary patterns of Canadian children, and (ii) the applicability and relevance of HCST as a measure of diet quality. METHODS Data were from the nationally-representative, cross-sectional Canadian Community Health Survey 2.2. A total of 13,749 participants aged 2-18 years who had complete lifestyle and 24-hour dietary recall data were examined. RESULTS Dietary patterns of Canadian children and adolescents demonstrated a high prevalence of Tier 4 foods within the sub-groups of processed meats and potatoes. On average, 23-31 % of daily calories were derived from "other" foods and beverages not recommended in EWCFG. However, the majority of food choices fell within the Tier 2 and 3 classifications due to lenient criteria used by the HCST for classifying foods. Adherence to the recommendations presented in the HCST was associated with closer compliance to meeting nutrient Dietary Reference Intake recommendations, however it did not relate to reduced obesity as assessed by body mass index (p > 0.05). CONCLUSIONS EWCFG recommendations are currently not being met by most children and adolescents. Future nutrient profiling systems need to incorporate both positive and negative nutrients and an overall score. In addition, a wider range of nutrient thresholds should be considered for HCST to better capture product differences, prevent categorization of most foods as Tiers 2-3 and provide incentives for product reformulation.
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Affiliation(s)
- Mahsa Jessri
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, FitzGerald Building, 150 College Street, Toronto, ON, M5S 3E2, Canada
| | - Stephanie K Nishi
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, FitzGerald Building, 150 College Street, Toronto, ON, M5S 3E2, Canada.,Clinical Nutrition & Risk Factor Modification Center, St. Michael's Hospital Toronto, Toronto, Canada
| | - Mary R L'Abbe
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, FitzGerald Building, 150 College Street, Toronto, ON, M5S 3E2, Canada.
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The Role of Glucose Modulation and Dietary Supplementation in Patients With Central Nervous System Tumors. Curr Treat Options Oncol 2016; 16:36. [PMID: 26143267 DOI: 10.1007/s11864-015-0356-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
OPINION STATEMENT Central nervous system gliomas are the most common primary brain tumor, and these are most often high-grade gliomas. Standard therapy includes a combination of surgery, radiation, and chemotherapy which provides a modest increase in survival, but virtually, no patients are cured, the overall prognosis remains poor, and new therapies are desperately needed. Tumor metabolism is a well-recognized but understudied therapeutic approach to treating cancers. Dietary and nondietary modulation of glucose homeostasis and the incorporation of dietary supplements and other natural substances are potentially important interventions to affect cancer cell growth, palliate symptoms, reduce treatment-associated side effects, and improve the quality and quantity of life in patients with cancer. These approaches are highly desired by patients. However, they can be financially burdensome, associated with toxicities, and have, on occasion, reduced the efficacy of proven therapies and negatively impacted patient outcomes. The lack of rigorous scientific data evaluating almost all diet and supplement-based therapies currently limits their incorporation into standard oncologic practice. Rigorous studies are needed to document and improve these potentially useful approaches in patients with brain and other malignancies.
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Glycemic index and glycemic load and risk of colorectal cancer: a population-based cohort study (JPHC Study). Cancer Causes Control 2016; 27:583-93. [DOI: 10.1007/s10552-016-0733-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2015] [Accepted: 02/24/2016] [Indexed: 12/13/2022]
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Effect of Glycemic Index of Breakfast on Energy Intake at Subsequent Meal among Healthy People: A Meta-Analysis. Nutrients 2016; 8:nu8010037. [PMID: 26742058 PMCID: PMC4728651 DOI: 10.3390/nu8010037] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2015] [Revised: 12/09/2015] [Accepted: 12/18/2015] [Indexed: 12/24/2022] Open
Abstract
Meals with low glycemic index (GI) may suppress short-term appetite and reduce subsequent food intake compared with high-GI meals. However, no meta-analysis has been conducted to synthesize the evidence. This meta-analytic study was conducted to assess the effect of high- and low-GI breakfast on subsequent short-term food intake. Trials were identified through MEDLINE, EMBASE, Web of Science, and Cochrane Central Register of Controlled trials, and manual searches of bibliographies until May 2015. Randomized controlled and cross-over trials comparing the effect of low- with high-GI breakfast on subsequent energy intake among healthy people were included. Nine studies consisting of 11 trials met the inclusion criteria. Only one trial was classified with high methodological quality. A total of 183 participants were involved in the trials. The meta-analytic results revealed no difference in breakfast GI (high-GI vs. low-GI) on subsequent short-term energy intake. In conclusion, it seems that breakfast GI has no effect on short-term energy intake among healthy people. However, high quality studies are still warranted to provide more concrete evidence.
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Sartorius B, Sartorius K, Aldous C, Madiba TE, Stefan C, Noakes T. Carbohydrate intake, obesity, metabolic syndrome and cancer risk? A two-part systematic review and meta-analysis protocol to estimate attributability. BMJ Open 2016; 6:e009301. [PMID: 26729382 PMCID: PMC4716256 DOI: 10.1136/bmjopen-2015-009301] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2015] [Revised: 10/17/2015] [Accepted: 10/23/2015] [Indexed: 12/13/2022] Open
Abstract
INTRODUCTION Linkages between carbohydrates, obesity and cancer continue to demonstrate conflicting results. Evidence suggests inconclusive direct linkages between carbohydrates and specific cancers. Conversely, obesity has been strongly linked to a wide range of cancers. The purpose of the study is to explore linkages between carbohydrate intake and cancer types using a two-step approach. First the study will evaluate the linkages between carbohydrate intake and obesity, potentially stratified by metabolic syndrome status. Second, the estimated attributable fraction of obesity ascribed to carbohydrate intake will be multiplied against obesity attributable fractions for cancer types to give estimated overall attributable fraction for carbohydrate versus cancer type. METHODS AND ANALYSIS We will perform a comprehensive search to identify all possible published and unpublished studies that have assessed risk factors for obesity including dietary carbohydrate intake. Scientific databases, namely PubMed MEDLINE, EMBASE, EBSCOhost and ISI Web of Science will be searched. Following study selection, paper/data acquisition, and data extraction and synthesis, we will appraise the quality of studies and risk of bias, as well as assess heterogeneity. Meta-weighted attributable fractions of obesity due to carbohydrate intake will be estimated after adjusting for other potential confounding factors (eg, physical inactivity, other dietary intake). Furthermore, previously published systematic reviews assessing the cancer-specific risk associated with obesity will also be drawn. These estimates will be linked with the attributability of carbohydrate intake in part 1 to estimate the cancer-specific burden that can be attributed to dietary carbohydrates. This systematic review protocol has been developed according to the 'Preferred Reporting Items for Systematic review and Meta-Analysis Protocols (PRISMA-P) 2015'. ETHICS AND DISSEMINATION The current study will be based on published literature and data, and, as such, ethics approval is not required. The final results of this two part systematic review (plus multiplicative calculations) will be published in a relevant international peer-reviewed journal. TRIAL REGISTRATION NUMBER PROSPERO CRD42015023257.
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Affiliation(s)
- B Sartorius
- Discipline of Public Health Medicine, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, KwaZulu-Natal, South Africa
- University of KwaZulu-Natal Gastrointestinal Cancer Research Centre (GICRC), Durban, KwaZulu-Natal, South Africa
| | - K Sartorius
- Discipline of Public Health Medicine, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, KwaZulu-Natal, South Africa
- University of KwaZulu-Natal Gastrointestinal Cancer Research Centre (GICRC), Durban, KwaZulu-Natal, South Africa
- Faculty of Commerce, University of the Witwatersrand, Johannesburg, South Africa
| | - C Aldous
- University of KwaZulu-Natal Gastrointestinal Cancer Research Centre (GICRC), Durban, KwaZulu-Natal, South Africa
- School of Clinical Medicine, University of KwaZulu-Natal, Durban, KwaZulu-Natal, South Africa
| | - T E Madiba
- University of KwaZulu-Natal Gastrointestinal Cancer Research Centre (GICRC), Durban, KwaZulu-Natal, South Africa
- School of Clinical Medicine, University of KwaZulu-Natal, Durban, KwaZulu-Natal, South Africa
| | - C Stefan
- University of KwaZulu-Natal Gastrointestinal Cancer Research Centre (GICRC), Durban, KwaZulu-Natal, South Africa
- South African Medical Research Council, Cape Town, South Africa
| | - T Noakes
- Division of Exercise Science and Sports Medicine, University of Cape Town
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Sun FH, Wong SHS, Liu ZG. Post-exercise appetite was affected by fructose content but not glycemic index of pre-exercise meals. Appetite 2016; 96:481-486. [PMID: 26478187 DOI: 10.1016/j.appet.2015.10.013] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2015] [Revised: 10/02/2015] [Accepted: 10/11/2015] [Indexed: 11/30/2022]
Abstract
The purpose of this study was to investigate whether both glycemic index (GI) and breakfast fructose content affect appetite during the postprandial period and recovery period after 1 hr of brisk walking. Ten healthy young men (age: 21.7 ± 1.5 y, body mass index: 20.9 ± 1.1 kg∙m(-2), VO2max: 53.7 ± 3.7 mL∙kg(-1)∙min(-1)) completed 1 hr of brisk walking at 46% VO2max 2 hr after eating one of three isocaloric breakfasts: a low-GI breakfast not including fructose content (LGI), a low-GI breakfast including fructose beverage (LGIF) and a high-GI breakfast (HGI). All breakfasts provided 1.0 g∙kg(-1) body weight carbohydrates, and the calculated GI values for the three breakfasts were 41, 39, and 72, respectively. In the LGIF and HGI trials, approximately 25% of participants' energy was derived from either fructose or glucose beverage. Appetite scores were measured every 30 min during the 2-hr postprandial period and 1-hr recovery period. During the postprandial period, the incremental areas under the blood response curve values of glucose and insulin were higher in the HGI trial, compared with those in the LGI and LGIF trials. At 30 and 60 min during the recovery period, the appetite scores were lower in the LGIF trial than those in the LGI and HGI trials. No differences were observed between the LGI and HGI trials. Breakfast fructose content, rather than GI, seems to affect appetite during the recovery period after 1 hr of brisk walking.
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Affiliation(s)
- Feng-Hua Sun
- Department of Health and Physical Education, Hong Kong Institute of Education, Hong Kong.
| | - Stephen Heung-Sang Wong
- Department of Sports Science and Physical Education, Chinese University of Hong Kong, Hong Kong
| | - Zhi-Gang Liu
- Dong Ying Vocational Institute, Shan Dong, China
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Zamora-Ros R, Rinaldi S, Tsilidis KK, Weiderpass E, Boutron-Ruault MC, Rostgaard-Hansen AL, Tjønneland A, Clavel-Chapelon F, Mesrine S, Katzke VA, Kühn T, Förster J, Boeing H, Trichopoulou A, Lagiou P, Klinaki E, Masala G, Sieri S, Ricceri F, Tumino R, Mattiello A, Peeters PH, Bueno-de-Mesquita HB, Engeset D, Skeie G, Argüelles M, Agudo A, Sánchez MJ, Chirlaque MD, Barricarte A, Chamosa S, Almquist M, Tosovic A, Hennings J, Sandström M, Schmidt JA, Khaw KT, Wareham NJ, Cross AJ, Slimani N, Byrnes G, Romieu I, Riboli E, Franceschi S. Energy and macronutrient intake and risk of differentiated thyroid carcinoma in the European Prospective Investigation into Cancer and Nutrition study. Int J Cancer 2016; 138:65-73. [PMID: 26190646 PMCID: PMC6300115 DOI: 10.1002/ijc.29693] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2015] [Revised: 06/05/2015] [Accepted: 06/25/2015] [Indexed: 12/25/2022]
Abstract
Incidence rates of differentiated thyroid carcinoma (TC) have increased in many countries. Adiposity and dietary risk factors may play a role, but little is known on the influence of energy intake and macronutrient composition. The aim of this study was to investigate the associations between TC and the intake of energy, macronutrients, glycemic index (GI) and glycemic load in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. The study included 477,274 middle-age participants (70.2% women) from ten European countries. Dietary data were collected using country-specific validated dietary questionnaires. Total carbohydrates, proteins, fats, saturated, monounsaturated and polyunsaturated fats (PUFA), starch, sugar, and fiber were computed as g/1,000 kcal. Multivariable Cox regression was used to calculate multivariable adjusted hazard ratios (HR) and 95% confidence interval (CI) by intake quartile (Q). After a mean follow-up time of 11 years, differentiated TC was diagnosed in 556 participants (90% women). Overall, we found significant associations only with total energy (HRQ4 vs .Q1 , 1.29; 95% CI, 1.00-1.68) and PUFA intakes (HRQ4 vs .Q1 , 0.74; 95% CI, 0.57-0.95). However, the associations with starch and sugar intake and GI were significantly heterogeneous across body mass index (BMI) groups, i.e., positive associations with starch and GI were found in participants with a BMI ≥ 25 and with sugar intake in those with BMI < 25. Moreover, inverse associations with starch and GI were observed in subjects with BMI < 25. In conclusion, our results suggest that high total energy and low PUFA intakes may increase the risk of differentiated TC. Positive associations with starch intake and GI in participants with BMI ≥ 25 suggest that those persons may have a greater insulin response to high starch intake and GI than lean people.
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Affiliation(s)
- Raul Zamora-Ros
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Sabina Rinaldi
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Konstantinos K. Tsilidis
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
- School of Public Health, Imperial College London, London, United Kingdom
| | - Elisabete Weiderpass
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
- Department of Etiological Cancer Research, Cancer Registry of Norway, Oslo, Norway
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Genetic Epidemiology, Folkhälsan Research Center, Helsinki, Finland
| | - Marie-Christine Boutron-Ruault
- Inserm, Centre for research in Epidemiology and Population Health (CESP), U1018, Nutrition, Hormones and Women’s Health team, F-94805, Villejuif, France
- Université Paris Sud, UMRS 1018, F-94805, Villejuif, France
- Institut Gustave Roussy, F-94805, Villejuif, France
| | | | | | - Françoise Clavel-Chapelon
- Inserm, Centre for research in Epidemiology and Population Health (CESP), U1018, Nutrition, Hormones and Women’s Health team, F-94805, Villejuif, France
- Université Paris Sud, UMRS 1018, F-94805, Villejuif, France
- Institut Gustave Roussy, F-94805, Villejuif, France
| | - Sylvie Mesrine
- Inserm, Centre for research in Epidemiology and Population Health (CESP), U1018, Nutrition, Hormones and Women’s Health team, F-94805, Villejuif, France
- Université Paris Sud, UMRS 1018, F-94805, Villejuif, France
- Institut Gustave Roussy, F-94805, Villejuif, France
| | - Verena A. Katzke
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Tilman Kühn
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jana Förster
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
| | - Antonia Trichopoulou
- Hellenic Health Foundation, Athens, Greece
- Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece
- Bureau of Epidemiologic Research, Academy of Athens, Athens, Greece
| | - Pagona Lagiou
- Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece
- Bureau of Epidemiologic Research, Academy of Athens, Athens, Greece
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, US
| | | | - Giovanna Masala
- Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute – ISPO, Florence, Italy
| | - Sabina Sieri
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale Tumori, Milano, Italy
| | - Fulvio Ricceri
- Unit of Cancer Epidemiology - CERMS, Department of Medical Sciences, University of Turin and Città della Salute e della Scienza Hospital, Turin, Italy
| | - Rosario Tumino
- Cancer Registry and Histopathology Unit, “Civic M.P. Arezzo” Hospital, ASP Ragusa, Italy
| | - Amalia Mattiello
- Dipartimento di Medicina Clinica e Chirurgia, Federico II University, Naples, Italy
| | - Petra H.M. Peeters
- School of Public Health, Imperial College London, London, United Kingdom
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - H. Bas Bueno-de-Mesquita
- School of Public Health, Imperial College London, London, United Kingdom
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Department of Gastroenterology and Hepatology, University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Dagrun Engeset
- The Norwegian Scientific Committee for Food Safety (VKM), Oslo, Norway
| | - Guri Skeie
- Department of Community Medicine, Faculty of Health Sciences, UiT The Artic University of Norway, Tromsø, Norway
| | | | - Antonio Agudo
- Unit of Nutrition, Environment and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology, Barcelona, Spain
| | - María-José Sánchez
- Escuela Andaluza de Salud Pública. Instituto de Investigación Biosanitaria ibs.GRANADA. Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - María-Dolores Chirlaque
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council, Murcia, Spain
| | - Aurelio Barricarte
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Public Health Institute of Navarra, Pamplona, Spain
| | - Saioa Chamosa
- Public Health Division of Gipuzkoa, BioDonostia Research Institute, Health Department of Basque Region, San Sebastian
| | - Martin Almquist
- Department of Surgery, University Hospital Lund, Lund, Sweden
| | - Ada Tosovic
- Department of Surgery, University Hospital Malmö, Malmö, Sweden
| | - Joakim Hennings
- Department of Surgical and Perioperative Sciences, Umeå University, Umeå, Sweden
| | - Maria Sandström
- Department of Radiation Sciences, Oncology Umeå University, Umeå, Sweden
| | - Julie A Schmidt
- Cancer Epidemiology Unit, University of Oxford, Oxford, United Kingdom
| | - Kay-Thee Khaw
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | | | - Amanda J. Cross
- School of Public Health, Imperial College London, London, United Kingdom
| | - Nadia Slimani
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Graham Byrnes
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Isabelle Romieu
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Elio Riboli
- School of Public Health, Imperial College London, London, United Kingdom
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Dietary Carbohydrate, Glycemic Index, Glycemic Load, and Breast Cancer Risk Among Mexican Women. Epidemiology 2015; 26:917-24. [DOI: 10.1097/ede.0000000000000374] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
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Nakatsu G, Li X, Zhou H, Sheng J, Wong SH, Wu WKK, Ng SC, Tsoi H, Dong Y, Zhang N, He Y, Kang Q, Cao L, Wang K, Zhang J, Liang Q, Yu J, Sung JJY. Gut mucosal microbiome across stages of colorectal carcinogenesis. Nat Commun 2015; 6:8727. [PMID: 26515465 PMCID: PMC4640069 DOI: 10.1038/ncomms9727] [Citation(s) in RCA: 499] [Impact Index Per Article: 49.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2015] [Accepted: 09/21/2015] [Indexed: 12/26/2022] Open
Abstract
Gut microbial dysbiosis contributes to the development of colorectal cancer (CRC). Here we catalogue the microbial communities in human gut mucosae at different stages of colorectal tumorigenesis. We analyse the gut mucosal microbiome of 47 paired samples of adenoma and adenoma-adjacent mucosae, 52 paired samples of carcinoma and carcinoma-adjacent mucosae and 61 healthy controls. Probabilistic partitioning of relative abundance profiles reveals that a metacommunity predominated by members of the oral microbiome is primarily associated with CRC. Analysis of paired samples shows differences in community configurations between lesions and the adjacent mucosae. Correlations of bacterial taxa indicate early signs of dysbiosis in adenoma, and co-exclusive relationships are subsequently more common in cancer. We validate these alterations in CRC-associated microbiome by comparison with two previously published data sets. Our results suggest that a taxonomically defined microbial consortium is implicated in the development of CRC.
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Affiliation(s)
- Geicho Nakatsu
- Department of Medicine and Therapeutics, Institute of Digestive Disease, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, 30-32 Ngan Shing Street, Shatin, Hong Kong SAR, China
- CUHK Shenzhen Research Institute, 2 Yuexing Road, Nanshan District, Shenzhen 518057, China
| | - Xiangchun Li
- Department of Medicine and Therapeutics, Institute of Digestive Disease, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, 30-32 Ngan Shing Street, Shatin, Hong Kong SAR, China
- CUHK Shenzhen Research Institute, 2 Yuexing Road, Nanshan District, Shenzhen 518057, China
| | - Haokui Zhou
- Department of Microbiology, The Chinese University of Hong Kong, 30-32 Ngan Shing Street, Shatin, Hong Kong SAR, China
| | - Jianqiu Sheng
- Department of Gastroenterology, Beijing Military General Hospital, 28 Fuxing Road, Haidian, Beijing 100853, China
| | - Sunny Hei Wong
- Department of Medicine and Therapeutics, Institute of Digestive Disease, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, 30-32 Ngan Shing Street, Shatin, Hong Kong SAR, China
- CUHK Shenzhen Research Institute, 2 Yuexing Road, Nanshan District, Shenzhen 518057, China
| | - William Ka Kai Wu
- Department of Medicine and Therapeutics, Institute of Digestive Disease, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, 30-32 Ngan Shing Street, Shatin, Hong Kong SAR, China
- CUHK Shenzhen Research Institute, 2 Yuexing Road, Nanshan District, Shenzhen 518057, China
- Department of Anaesthesia and Intensive Care, The Chinese University of Hong Kong, 30-32 Ngan Shing Street, Shatin, Hong Kong SAR, China
| | - Siew Chien Ng
- Department of Medicine and Therapeutics, Institute of Digestive Disease, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, 30-32 Ngan Shing Street, Shatin, Hong Kong SAR, China
- CUHK Shenzhen Research Institute, 2 Yuexing Road, Nanshan District, Shenzhen 518057, China
| | - Ho Tsoi
- Department of Medicine and Therapeutics, Institute of Digestive Disease, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, 30-32 Ngan Shing Street, Shatin, Hong Kong SAR, China
- CUHK Shenzhen Research Institute, 2 Yuexing Road, Nanshan District, Shenzhen 518057, China
| | - Yujuan Dong
- Department of Medicine and Therapeutics, Institute of Digestive Disease, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, 30-32 Ngan Shing Street, Shatin, Hong Kong SAR, China
- CUHK Shenzhen Research Institute, 2 Yuexing Road, Nanshan District, Shenzhen 518057, China
| | - Ning Zhang
- Department of Gastroenterology, The First Affiliated Hospital of Sun Yat-sen University, 58 Zhongshan Second Road, Yuexiu, Guangzhou 510080, China
| | - Yuqi He
- Department of Gastroenterology, Beijing Military General Hospital, 28 Fuxing Road, Haidian, Beijing 100853, China
| | - Qian Kang
- Department of Gastroenterology, Beijing Military General Hospital, 28 Fuxing Road, Haidian, Beijing 100853, China
| | - Lei Cao
- Department of Medicine and Therapeutics, Institute of Digestive Disease, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, 30-32 Ngan Shing Street, Shatin, Hong Kong SAR, China
- CUHK Shenzhen Research Institute, 2 Yuexing Road, Nanshan District, Shenzhen 518057, China
| | - Kunning Wang
- Department of Medicine and Therapeutics, Institute of Digestive Disease, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, 30-32 Ngan Shing Street, Shatin, Hong Kong SAR, China
- CUHK Shenzhen Research Institute, 2 Yuexing Road, Nanshan District, Shenzhen 518057, China
| | - Jingwan Zhang
- Department of Medicine and Therapeutics, Institute of Digestive Disease, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, 30-32 Ngan Shing Street, Shatin, Hong Kong SAR, China
- CUHK Shenzhen Research Institute, 2 Yuexing Road, Nanshan District, Shenzhen 518057, China
| | - Qiaoyi Liang
- Department of Medicine and Therapeutics, Institute of Digestive Disease, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, 30-32 Ngan Shing Street, Shatin, Hong Kong SAR, China
- CUHK Shenzhen Research Institute, 2 Yuexing Road, Nanshan District, Shenzhen 518057, China
| | - Jun Yu
- Department of Medicine and Therapeutics, Institute of Digestive Disease, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, 30-32 Ngan Shing Street, Shatin, Hong Kong SAR, China
- CUHK Shenzhen Research Institute, 2 Yuexing Road, Nanshan District, Shenzhen 518057, China
| | - Joseph J. Y. Sung
- Department of Medicine and Therapeutics, Institute of Digestive Disease, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, 30-32 Ngan Shing Street, Shatin, Hong Kong SAR, China
- CUHK Shenzhen Research Institute, 2 Yuexing Road, Nanshan District, Shenzhen 518057, China
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Augustin LSA, Kendall CWC, Jenkins DJA, Willett WC, Astrup A, Barclay AW, Björck I, Brand-Miller JC, Brighenti F, Buyken AE, Ceriello A, La Vecchia C, Livesey G, Liu S, Riccardi G, Rizkalla SW, Sievenpiper JL, Trichopoulou A, Wolever TMS, Baer-Sinnott S, Poli A. Glycemic index, glycemic load and glycemic response: An International Scientific Consensus Summit from the International Carbohydrate Quality Consortium (ICQC). Nutr Metab Cardiovasc Dis 2015; 25:795-815. [PMID: 26160327 DOI: 10.1016/j.numecd.2015.05.005] [Citation(s) in RCA: 427] [Impact Index Per Article: 42.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2015] [Revised: 05/08/2015] [Accepted: 05/08/2015] [Indexed: 01/11/2023]
Abstract
BACKGROUND AND AIMS The positive and negative health effects of dietary carbohydrates are of interest to both researchers and consumers. METHODS International experts on carbohydrate research held a scientific summit in Stresa, Italy, in June 2013 to discuss controversies surrounding the utility of the glycemic index (GI), glycemic load (GL) and glycemic response (GR). RESULTS The outcome was a scientific consensus statement which recognized the importance of postprandial glycemia in overall health, and the GI as a valid and reproducible method of classifying carbohydrate foods for this purpose. There was consensus that diets low in GI and GL were relevant to the prevention and management of diabetes and coronary heart disease, and probably obesity. Moderate to weak associations were observed for selected cancers. The group affirmed that diets low in GI and GL should always be considered in the context of diets otherwise understood as healthy, complementing additional ways of characterizing carbohydrate foods, such as fiber and whole grain content. Diets of low GI and GL were considered particularly important in individuals with insulin resistance. CONCLUSIONS Given the high prevalence of diabetes and pre-diabetes worldwide and the consistency of the scientific evidence reviewed, the expert panel confirmed an urgent need to communicate information on GI and GL to the general public and health professionals, through channels such as national dietary guidelines, food composition tables and food labels.
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Affiliation(s)
- L S A Augustin
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Canada.
| | - C W C Kendall
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Canada; Department of Nutritional Science, University of Toronto, Toronto, Canada; University of Saskatchewan, Saskatoon, Canada
| | - D J A Jenkins
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Canada; Department of Nutritional Science, University of Toronto, Toronto, Canada
| | - W C Willett
- Department of Nutrition, Harvard School of Public Health, Boston, USA
| | - A Astrup
- Department of Nutrition, Exercise and Sports (NEXS), Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - A W Barclay
- Glycemic Index Foundation, Sydney, Australia
| | - I Björck
- Food for Health Science Centre, Lund University, Lund, Sweden
| | - J C Brand-Miller
- Boden Institute of Obesity, Nutrition, Exercise and Eating Disorders, University of Sydney, Sydney, Australia
| | - F Brighenti
- Department of Food Sciences, University of Parma, Parma, Italy
| | - A E Buyken
- Department of Nutritional Epidemiology, University of Bonn, Bonn, Germany
| | - A Ceriello
- Institut d' Investigación Biomédiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Centro de Investigación Biomedica en Red de Diabetes y Enfermedades Metabolicas Asociadas (CIBERDEM), Barcelona, Spain
| | - C La Vecchia
- Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy
| | - G Livesey
- Independent Nutrition Logic, Wymondham, UK
| | - S Liu
- Department of Epidemiology and Medicine, Brown University, Providence, USA
| | - G Riccardi
- Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy
| | - S W Rizkalla
- Institute Cardiometabolism and Nutrition (ICAN), University Pierre et Marie Curie, Pitié Salpêtrière Hospital, Paris, France; National Institute of Health and Medical Research (INSERM), University Pierre et Marie Curie and Pitié Salpêtrière Hospital, Paris, France
| | - J L Sievenpiper
- Department of Nutritional Science, University of Toronto, Toronto, Canada
| | - A Trichopoulou
- Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece
| | - T M S Wolever
- Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Canada; Department of Nutritional Science, University of Toronto, Toronto, Canada
| | | | - A Poli
- Nutrition Foundation of Italy, Milan, Italy
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Abstract
This article covers some important concepts and controversies in modern nutritional science. It describes a diet style designed to maximize health, longevity, and disease reversal—foundationally structured on the quality and comprehensive adequacy of nutrients rather than the balance of macronutrients, as is more popular today. I call such a diet, which attempts to optimize micronutrients, a nutritarian diet. I will review a small case series demonstrating typical results in diabetics and some of my clinical observations over the last 25 years treating people with a nutritarian diet, which could be either vegan or flexitarian. I will also discuss health concerns observed from an unsupplemented vegan diet, specifically the risk of depression and later life dementia in individuals with enhanced need for long-chain omega-3 fatty acids.
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Affiliation(s)
- Joel Fuhrman
- Nutritional Research Foundation, Flemington, New Jersey (JF)
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64
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Turati F, Galeone C, Gandini S, Augustin LS, Jenkins DJA, Pelucchi C, La Vecchia C. High glycemic index and glycemic load are associated with moderately increased cancer risk. Mol Nutr Food Res 2015; 59:1384-94. [DOI: 10.1002/mnfr.201400594] [Citation(s) in RCA: 67] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2014] [Revised: 01/27/2015] [Accepted: 02/13/2015] [Indexed: 12/23/2022]
Affiliation(s)
- Federica Turati
- Department of Epidemiology; IRCCS - Istituto di Ricerche Farmacologiche Mario Negri; Milan Italy
| | - Carlotta Galeone
- Department of Epidemiology; IRCCS - Istituto di Ricerche Farmacologiche Mario Negri; Milan Italy
| | - Sara Gandini
- Division of Epidemiology and Biostatistics; European Institute of Oncology; Milan Italy
| | - Livia S. Augustin
- Clinical Nutrition and Risk Factor Modification Center; St. Michael's Hospital; Toronto ON Canada
| | - David J. A. Jenkins
- Clinical Nutrition and Risk Factor Modification Center; St. Michael's Hospital; Toronto ON Canada
| | - Claudio Pelucchi
- Department of Epidemiology; IRCCS - Istituto di Ricerche Farmacologiche Mario Negri; Milan Italy
| | - Carlo La Vecchia
- Department of Clinical Sciences and Community Health; Università degli Studi di Milano; Milan Italy
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Vidal AC, Williams CD, Allott EH, Howard LE, Grant DJ, McPhail M, Sourbeer KN, Pao-Hwa L, Boffetta P, Hoyo C, Freedland SJ. Carbohydrate intake, glycemic index and prostate cancer risk. Prostate 2015; 75:430-9. [PMID: 25417840 PMCID: PMC4293225 DOI: 10.1002/pros.22929] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2014] [Accepted: 10/15/2014] [Indexed: 11/10/2022]
Abstract
BACKGROUND Reported associations between dietary carbohydrate and prostate cancer (PC) risk are poorly characterized by race. METHODS We analyzed the association between carbohydrate intake, glycemic index (GI), and PC risk in a study of white (N = 262) and black (N = 168) veterans at the Durham VA Hospital. Cases were 156 men with biopsy-confirmed PC and controls (N = 274) had a PSA test but were not recommended for biopsy. Diet was assessed before biopsy with a self-administered food frequency questionnaire. Logistic regression models were used to estimate PC risk. RESULTS In multivariable analyzes, higher carbohydrate intake, measured as percent of energy from carbohydrates, was associated with reduced PC risk (3rd vs. 1st tertile, OR = 0.41, 95% CI 0.21-0.81, P = 0.010), though this only reached significance in white men (p-trend = 0.029). GI was unrelated to PC risk among all men, but suggestively linked with reduced PC risk in white men (p-trend = 0.066) and increased PC risk in black men (p-trend = 0.172), however, the associations were not significant. Fiber intake was not associated with PC risk (all p-trends > 0.55). Higher carbohydrate intake was associated with reduced risk of high-grade (p-trend = 0.016), but not low-grade PC (p-trend = 0.593). CONCLUSION Higher carbohydrate intake may be associated with reduced risk of overall and high-grade PC. Future larger studies are needed to confirm these findings.
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Affiliation(s)
- Adriana C. Vidal
- Department of Obstetrics and Gynecology, Division of Clinical Epidemiologic Research, Program of Cancer Detection, Prevention and Control, Duke University School of Medicine, Durham, NC
- Section of Urology, Department of Surgery, Durham VA Medical Center, Durham, NC, USA
- Duke Prostate Center, Division of Urology, Department of Surgery, Duke University Medical Center, Durham, NC
| | - Christina D. Williams
- Medical Service, Division of Hematology-Oncology, Durham VA Medical Center, Durham, NC
| | - Emma H. Allott
- Section of Urology, Department of Surgery, Durham VA Medical Center, Durham, NC, USA
- Duke Prostate Center, Division of Urology, Department of Surgery, Duke University Medical Center, Durham, NC
| | - Lauren E. Howard
- Section of Urology, Department of Surgery, Durham VA Medical Center, Durham, NC, USA
- Duke Prostate Center, Division of Urology, Department of Surgery, Duke University Medical Center, Durham, NC
| | - Delores J. Grant
- Cancer Research Program, JLC-Biomedical/Biotechnology Research Institute, North Carolina Central University, Durham, NC
| | - Megan McPhail
- Section of Urology, Department of Surgery, Durham VA Medical Center, Durham, NC, USA
- Duke Prostate Center, Division of Urology, Department of Surgery, Duke University Medical Center, Durham, NC
| | - Katharine N. Sourbeer
- Section of Urology, Department of Surgery, Durham VA Medical Center, Durham, NC, USA
- Duke Prostate Center, Division of Urology, Department of Surgery, Duke University Medical Center, Durham, NC
| | - Lin Pao-Hwa
- Department of Medicine, Division of Nephrology, Duke University Medical Center, Durham, NC
| | - Paolo Boffetta
- Institue for Translational Epidemiology and Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Cathrine Hoyo
- Department of Obstetrics and Gynecology, Division of Clinical Epidemiologic Research, Program of Cancer Detection, Prevention and Control, Duke University School of Medicine, Durham, NC
| | - Stephen J. Freedland
- Section of Urology, Department of Surgery, Durham VA Medical Center, Durham, NC, USA
- Duke Prostate Center, Division of Urology, Department of Surgery, Duke University Medical Center, Durham, NC
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Dietary contributors to glycemic load in the REasons for Geographic and Racial Differences in Stroke study. Nutrition 2014; 31:708-15. [PMID: 25837217 DOI: 10.1016/j.nut.2014.11.017] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2014] [Revised: 10/14/2014] [Accepted: 11/30/2014] [Indexed: 12/23/2022]
Abstract
OBJECTIVE High dietary glycemic load (GL) has been associated with an increased risk for chronic diseases, including type 2 diabetes, coronary heart disease, and selected cancers. The aim of this study was to identify the main food and food group contributors to dietary GL in a representative sample of US adults to inform future interventions. METHODS Participants were from the REGARDS (REasons for Geographic and Racial Differences in Stroke) study, a longitudinal cohort of 30 239 community-dwelling black and white women and men ages ≥45 y from throughout the United States. Diet was assessed with a food frequency questionnaire. The amount of each carbohydrate food, and its glycemic index, were used to calculate GL values for each carbohydrate food reported. These were totaled to estimate the mean total daily GL for each participant. Individual carbohydrate foods also were collapsed into 18 carbohydrate food groups, and the portion of the total GL contributed by each carbohydrate food and food group was determined. Analyses were conducted overall, by race/sex groups, and by region. RESULTS Sweetened beverages were the main contributors to GL overall (12.14 median percentage [median %] of daily GL), by far the largest contributors in black men (17.79 median %) and black women (16.43 median %), and major contributors in white men (12.02 median %) and white women (11.22 median %). Other important contributors to GL overall and in all race/sex groups and regions included breads, starchy side dishes, and cereals. CONCLUSIONS In this US cohort of white and black adults, sweetened beverages were major contributors to GL overall, especially in black participants. This information may help to inform future interventions targeting reduction in dietary GL.
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Maisonneuve P, Lowenfels AB. Risk factors for pancreatic cancer: a summary review of meta-analytical studies. Int J Epidemiol 2014; 44:186-98. [PMID: 25502106 DOI: 10.1093/ije/dyu240] [Citation(s) in RCA: 286] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND The aetiology of pancreatic cancer (PC) has been extensively studied and is the subject of numerous meta-analyses and pooled analyses. We have summarized results from these pooled and meta-analytical studies to estimate the fraction of PCs attributable to each of the identified risk factors. METHODS Using a comprehensive strategy, we retrieved 117 meta-analytical or pooled reports dealing with the association between specific risk factors and PC risk. We combined estimates of relative risk and estimates of exposure to calculate the fraction of PCs caused or prevented by a particular exposure. RESULTS Tobacco smoking ('strong' evidence) and Helicobacter pylori infection ('moderate' evidence) are the major risk factors associated with PC, with respective estimated population attributable fractions of 11-32% and 4-25%. The major protective factors are history of allergy ('strong' evidence) and increasing fruit or folate intake ('moderate' evidence), with respective population preventable fractions of 3-7% and 0-12%. CONCLUSIONS We summarized results of 117 meta-analytical or pooled data reports dealing with 37 aetiological exposures, to obtain robust information about the suspected causes of PC. By combining these estimates with their prevalences in the population, we calculated population attributable or population preventable fractions. About two-thirds of the major risk factors associated with PC are potentially modifiable, affording a unique opportunity for preventing one of our deadliest cancers.
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Affiliation(s)
- Patrick Maisonneuve
- Division of Epidemiology and Biostatistics, European Institute of Oncology, Milan, Italy and Departments of Surgery and of Family and Preventive Medicine, New York Medical College, Valhalla, NY, USA
| | - Albert B Lowenfels
- Division of Epidemiology and Biostatistics, European Institute of Oncology, Milan, Italy and Departments of Surgery and of Family and Preventive Medicine, New York Medical College, Valhalla, NY, USA
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68
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Xu WH, Xiang YB, Zhang X, Ruan Z, Cai H, Zheng W, Shu XO. Association of dietary glycemic index and glycemic load with endometrial cancer risk among Chinese women. Nutr Cancer 2014; 67:89-97. [PMID: 25495185 DOI: 10.1080/01635581.2015.976319] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
We evaluated the association of dietary glycemic index (GI) and glycemic load (GL) with the risk of endometrial cancer in a population-based, case-control study of 1199 endometrial cancer patients and 1212 age-frequency-matched controls in urban Shanghai, China, where diets are typically high in carbohydrates and have a high GL. Information on dietary habits, physical activity, and other relevant information was collected using a validated questionnaire, and anthropometric measurements were taken. Logistic regression was applied in the analysis. Dietary GI and GL were independently associated with risk for endometrial cancer but carbohydrate intake was unrelated to risk. Multivariable-adjusted odds ratios (ORs) for increasing quartiles of intake were 1.0, 1.3, 1.4, and 2.2 [95% confidence interval (CI): 1.2-4.0] for dietary GL (P(trend) = 0.02) and 1.0, 1.2, 1.4, and 1.4 (95% CI: 1.0-2.0) for dietary GI (P(trend) = 0.02). High intake of staples, especially rice, was positively associated with endometrial cancer. The association with GI was more evident among lean and normal weight women, although the test for interaction was not significant. This study suggests that intake of high GL or GI foods, but not carbohydrates per se, may increase risk for endometrial cancer.
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Affiliation(s)
- Wang Hong Xu
- a Department of Epidemiology, School of Public Health , Fudan University , Shanghai , People's Republic of China
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69
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Lahmann PH, Ibiebele TI, Webb PM, Nagle CM, Whiteman DC. A case-control study of glycemic index, glycemic load and dietary fiber intake and risk of adenocarcinomas and squamous cell carcinomas of the esophagus: the Australian Cancer Study. BMC Cancer 2014; 14:877. [PMID: 25421419 PMCID: PMC4255966 DOI: 10.1186/1471-2407-14-877] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2014] [Accepted: 11/13/2014] [Indexed: 01/30/2023] Open
Abstract
Background Glycemic index (GI) and glycemic load (GL) have been investigated as etiologic factors for some cancers, but epidemiological data on possible associations between dietary carbohydrate intake and esophageal cancer are scant. This study examined the association between GI, GL, and other dietary carbohydrate components and risk of adenocarcinomas and squamous cell carcinoma of the esophagus accounting for established risk factors. Methods We analyzed data from a population-based Australian case-control study (2002-05) comprising 299 adenocarcinoma (EAC), 337 gastro-esophageal junction adenocarcinoma (EGJAC), 245 squamous cell carcinoma (ESCC), and 1507 controls sampled from a population registry. Dietary information was obtained using a 135-item food frequency questionnaire (FFQ); GI and GL were derived from an Australian GI database. Multivariable logistic regression models were used to derive odds ratios (ORs). Results All three case groups tended to have a lower intake of fiber, and significantly higher intake of fat, total energy, and alcohol (ESCC only) compared to controls. GI was unrelated to all histological types. Higher GL was not associated with risk of EAC and EGJAC, but was inversely associated with risk of ESCC (adjusted model, ptrend = 0.006), specifically among men where we observed a 58% reduced risk of ESCC in the highest versus the lowest quartile. Increased intake of total carbohydrates and starch was related to similarly large risk reductions of ESCC. Fiber intake was strongly and inversely associated with risk of EAC, EGJAC and ESCC (all ptrend ≤0.001), indicating risk reductions of 28%-37% per 10 g/day. Conclusions This study suggests a reduced risk of esophageal SCC with higher GL level particularly in men, but provides no evidence for the role of GI in the development of esophageal cancer. In addition, increased fiber intake appears to be associated with lower risk of all histological types of esophageal cancer. Electronic supplementary material The online version of this article (doi:10.1186/1471-2407-14-877) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Petra H Lahmann
- Population Health Department, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, Brisbane, QLD 4006, Australia.
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70
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Belcheva A, Martin A. Gut microbiota and colon cancer: the carbohydrate link. Mol Cell Oncol 2014; 2:e969630. [PMID: 27308387 PMCID: PMC4905239 DOI: 10.4161/23723548.2014.969630] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2014] [Revised: 08/28/2014] [Accepted: 08/28/2014] [Indexed: 01/10/2023]
Abstract
Understanding the complex pathophysiology of colorectal cancer and the interaction between host genetics, the gut microbiome, and diet has attracted significant attention in the last few years. The discovery that gut microbial metabolites may dictate the course of colorectal cancer progression supports the development of microbial-targeted strategies.
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Affiliation(s)
| | - Alberto Martin
- Department of Immunology; University of Toronto ; Toronto, ON Canada
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71
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Belcheva A, Irrazabal T, Robertson SJ, Streutker C, Maughan H, Rubino S, Moriyama EH, Copeland JK, Surendra A, Kumar S, Green B, Geddes K, Pezo RC, Navarre WW, Milosevic M, Wilson BC, Girardin SE, Wolever TMS, Edelmann W, Guttman DS, Philpott DJ, Martin A. Gut microbial metabolism drives transformation of MSH2-deficient colon epithelial cells. Cell 2014; 158:288-299. [PMID: 25036629 DOI: 10.1016/j.cell.2014.04.051] [Citation(s) in RCA: 369] [Impact Index Per Article: 33.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2013] [Revised: 03/24/2014] [Accepted: 04/28/2014] [Indexed: 02/08/2023]
Abstract
The etiology of colorectal cancer (CRC) has been linked to deficiencies in mismatch repair and adenomatous polyposis coli (APC) proteins, diet, inflammatory processes, and gut microbiota. However, the mechanism through which the microbiota synergizes with these etiologic factors to promote CRC is not clear. We report that altering the microbiota composition reduces CRC in APC(Min/+)MSH2(-/-) mice, and that a diet reduced in carbohydrates phenocopies this effect. Gut microbes did not induce CRC in these mice through an inflammatory response or the production of DNA mutagens but rather by providing carbohydrate-derived metabolites such as butyrate that fuel hyperproliferation of MSH2(-/-) colon epithelial cells. Further, we provide evidence that the mismatch repair pathway has a role in regulating β-catenin activity and modulating the differentiation of transit-amplifying cells in the colon. These data thereby provide an explanation for the interaction between microbiota, diet, and mismatch repair deficiency in CRC induction. PAPERCLIP:
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Affiliation(s)
- Antoaneta Belcheva
- Department of Immunology, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Thergiory Irrazabal
- Department of Immunology, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Susan J Robertson
- Department of Immunology, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Catherine Streutker
- Department of Laboratory Medicine, St. Michael's Hospital, Toronto, ON M5B 1W8, Canada
| | | | - Stephen Rubino
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Eduardo H Moriyama
- Princess Margaret Cancer Centre/University Health Network, Toronto, ON M5G 1L7, Canada
| | - Julia K Copeland
- Centre for the Analysis of Genome Evolution & Function, University of Toronto, Toronto, ON M5S 3B2, Canada
| | - Anu Surendra
- Centre for the Analysis of Genome Evolution & Function, University of Toronto, Toronto, ON M5S 3B2, Canada
| | - Sachin Kumar
- Department of Immunology, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Blerta Green
- Department of Immunology, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Kaoru Geddes
- Department of Immunology, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Rossanna C Pezo
- Department of Medical Oncology, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - William W Navarre
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Michael Milosevic
- Department of Radiation Oncology, Princess Margaret Hospital, Toronto, ON M5G 2M9, Canada
| | - Brian C Wilson
- Princess Margaret Cancer Centre/University Health Network, Toronto, ON M5G 1L7, Canada
| | - Stephen E Girardin
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Thomas M S Wolever
- Department of Nutritional Sciences, University of Toronto, Toronto, ON M5S 3E2, Canada
| | - Winfried Edelmann
- Department of Cell Biology, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - David S Guttman
- Centre for the Analysis of Genome Evolution & Function, University of Toronto, Toronto, ON M5S 3B2, Canada
| | - Dana J Philpott
- Department of Immunology, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Alberto Martin
- Department of Immunology, University of Toronto, Toronto, ON M5S 1A8, Canada.
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72
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Dietary glycaemic index and glycaemic load in relation to all-cause and cause-specific mortality in a Japanese community: the Takayama study. Br J Nutr 2014; 112:2010-7. [DOI: 10.1017/s0007114514003109] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Diets with a high glycaemic index (GI) or glycaemic load (GL) have been hypothesised to increase the risk of diabetes, CVD and some cancers. In the present study, the associations of dietary GI and GL with the risk of all-cause and cause-specific mortality were prospectively examined in a general population in Japan, where white rice is the main contributor of dietary GI and GL. A total of 28 356 residents of Takayama City, Japan, who responded to a self-administered questionnaire in 1992 were included in the present analyses. Dietary intake was assessed using a validated FFQ. Mortality was ascertained over 16 years. In men, dietary GI was found to be significantly inversely associated with the risk of all-cause and non-cancer, non-cardiovascular mortality; the hazard ratios (HR) for the highest v. lowest quartile were 0·80 (95 % CI 0·68, 0·95) and 0·64 (95 % CI 0·49, 0·84), respectively. Dietary GL was found to be significantly inversely associated with the risk of all-cause, cancer, and non-cancer, non-cardiovascular mortality; the HR for the highest v. lowest quartile were 0·71 (95 % CI 0·59, 0·86), 0·71 (95 % CI 0·52, 0·99) and 0·64 (95 % CI 0·48, 0·87), respectively. The results obtained for the GL derived from white rice, but not from other foods, closely mirrored those obtained for overall GL. In women, dietary GI was found to be significantly positively associated with the risk of cardiovascular mortality; the HR for the highest v. lowest quartile was 1·56 (95 % CI 1·15, 2·13). The results of the present study suggest potential favourable effects of dietary GI and GL on mortality in men, but an association between high GI and an increased risk of cardiovascular mortality in women.
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D'Alessandro A, De Pergola G. Mediterranean diet pyramid: a proposal for Italian people. Nutrients 2014; 6:4302-16. [PMID: 25325250 PMCID: PMC4210917 DOI: 10.3390/nu6104302] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2014] [Revised: 08/28/2014] [Accepted: 09/19/2014] [Indexed: 12/25/2022] Open
Abstract
Bread was a staple in the traditional Mediterranean diet of the early 1960s, as well as nowadays; however, it was a stone ground sourdough bread in Nicotera and probably in the Greek cohorts of the Seven Countries Study. In the present review, the nutritional characteristics of this food are analyzed in relation to its protective effects on coronary heart disease, metabolic diseases and cancer. According to our traditions, cultural heritage and scientific evidence, we propose that only cereal foods with low glycemic index (GI) and rich in fiber have to be placed at the base of the Mediterranean diet pyramid, whereas refined grains and high GI starchy foods have to be sited at the top.
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Affiliation(s)
- Annunziata D'Alessandro
- Endocrinologist, General Practitioner. General Medicine ASL BA/4 D.S.S. 8, viale Japigia 38/G, Bari 70126, Italy.
| | - Giovanni De Pergola
- Department of Biomedical Sciences and Human Oncology, Section of Internal Medicine and Oncology, University of Bari "Aldo Moro", School of Medicine, Policlinico, Piazza Giulio Cesare 11, Bari 70124, Italy.
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Castro-Quezada I, Sánchez-Villegas A, Estruch R, Salas-Salvadó J, Corella D, Schröder H, Álvarez-Pérez J, Ruiz-López MD, Artacho R, Ros E, Bulló M, Covas MI, Ruiz-Gutiérrez V, Ruiz-Canela M, Buil-Cosiales P, Gómez-Gracia E, Lapetra J, Pintó X, Arós F, Fiol M, Lamuela-Raventós RM, Martínez-González MÁ, Serra-Majem L, on behalf of the PREDIMED Study Investigators. A high dietary glycemic index increases total mortality in a Mediterranean population at high cardiovascular risk. PLoS One 2014; 9:e107968. [PMID: 25250626 PMCID: PMC4176720 DOI: 10.1371/journal.pone.0107968] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2014] [Accepted: 08/21/2014] [Indexed: 12/22/2022] Open
Abstract
OBJECTIVE Different types of carbohydrates have diverse glycemic response, thus glycemic index (GI) and glycemic load (GL) are used to assess this variation. The impact of dietary GI and GL in all-cause mortality is unknown. The objective of this study was to estimate the association between dietary GI and GL and risk of all-cause mortality in the PREDIMED study. MATERIAL AND METHODS The PREDIMED study is a randomized nutritional intervention trial for primary cardiovascular prevention based on community-dwelling men and women at high risk of cardiovascular disease. Dietary information was collected at baseline and yearly using a validated 137-item food frequency questionnaire (FFQ). We assigned GI values of each item by a 5-step methodology, using the International Tables of GI and GL Values. Deaths were ascertained through contact with families and general practitioners, review of medical records and consultation of the National Death Index. Cox regression models were used to estimate multivariable-adjusted hazard ratios (HR) and their 95% CI for mortality, according to quartiles of energy-adjusted dietary GI/GL. To assess repeated measures of exposure, we updated GI and GL intakes from the yearly FFQs and used Cox models with time-dependent exposures. RESULTS We followed 3,583 non-diabetic subjects (4.7 years of follow-up, 123 deaths). As compared to participants in the lowest quartile of baseline dietary GI, those in the highest quartile showed an increased risk of all-cause mortality [HR = 2.15 (95% CI: 1.15-4.04); P for trend = 0.012]. In the repeated-measures analyses using as exposure the yearly updated information on GI, we observed a similar association. Dietary GL was associated with all-cause mortality only when subjects were younger than 75 years. CONCLUSIONS High dietary GI was positively associated with all-cause mortality in elderly population at high cardiovascular risk.
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Affiliation(s)
- Itandehui Castro-Quezada
- Research Institute of Biomedical and Health Sciences, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
| | - Almudena Sánchez-Villegas
- Research Institute of Biomedical and Health Sciences, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
- Ciber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III (ISCIII), Spanish Government, Madrid, Spain
| | - Ramón Estruch
- Ciber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III (ISCIII), Spanish Government, Madrid, Spain
- Department of Internal Medicine, Hospital Clinic, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Barcelona, Spain
| | - Jordi Salas-Salvadó
- Ciber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III (ISCIII), Spanish Government, Madrid, Spain
- Human Nutrition Department, School of Medicine, University Rovira i Virgili, Reus, Tarragona, Spain
| | - Dolores Corella
- Ciber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III (ISCIII), Spanish Government, Madrid, Spain
- Department of Preventive Medicine, School of Medicine, University of Valencia, Valencia, Spain
| | - Helmut Schröder
- Cardiovascular Risk and Nutrition Research Group, Institut Municipal d'Investigació Medica (IMIM)-Institut de Recerca del Hospital del Mar, Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Spanish Government, Madrid, Spain
| | - Jacqueline Álvarez-Pérez
- Research Institute of Biomedical and Health Sciences, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
- Ciber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III (ISCIII), Spanish Government, Madrid, Spain
| | - María Dolores Ruiz-López
- Department of Nutrition and Food Science, School of Pharmacy, University of Granada, Granada, Spain
- Institute of Nutrition and Food Technologies, University of Granada. Armilla, Granada, Spain
| | - Reyes Artacho
- Department of Nutrition and Food Science, School of Pharmacy, University of Granada, Granada, Spain
| | - Emilio Ros
- Ciber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III (ISCIII), Spanish Government, Madrid, Spain
- Lipid Clinic, Endocrinology and Nutrition Service, Hospital Clinic, l'Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Mónica Bulló
- Ciber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III (ISCIII), Spanish Government, Madrid, Spain
- Human Nutrition Department, School of Medicine, University Rovira i Virgili, Reus, Tarragona, Spain
| | - María-Isabel Covas
- Ciber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III (ISCIII), Spanish Government, Madrid, Spain
- Cardiovascular Risk and Nutrition Research Group, Institut Municipal d'Investigació Medica (IMIM)-Institut de Recerca del Hospital del Mar, Barcelona, Spain
| | - Valentina Ruiz-Gutiérrez
- Ciber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III (ISCIII), Spanish Government, Madrid, Spain
- Group of Nutrition and Lipid Metabolism, Instituto de la Grasa (CSIC), Seville, Spain
| | - Miguel Ruiz-Canela
- Ciber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III (ISCIII), Spanish Government, Madrid, Spain
- Department of Preventive Medicine and Public Health, School of Medicine – Clinica Universitaria de Navarra, University of Navarra, Pamplona, Navarra, Spain
| | - Pilar Buil-Cosiales
- Ciber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III (ISCIII), Spanish Government, Madrid, Spain
- Department of Preventive Medicine and Public Health, School of Medicine – Clinica Universitaria de Navarra, University of Navarra, Pamplona, Navarra, Spain
| | - Enrique Gómez-Gracia
- Ciber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III (ISCIII), Spanish Government, Madrid, Spain
- Department of Preventive Medicine, School of Medicine, University of Malaga, Malaga, Spain
| | - José Lapetra
- Ciber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III (ISCIII), Spanish Government, Madrid, Spain
- Department of Family Medicine, Primary Care Division of Sevilla, San Pablo Health Center, Sevilla, Spain
| | - Xavier Pintó
- Ciber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III (ISCIII), Spanish Government, Madrid, Spain
- Internal Medicine Service, Hospital of Bellvitge, Barcelona, Spain
| | - Fernando Arós
- Ciber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III (ISCIII), Spanish Government, Madrid, Spain
- Department of Cardiology, Hospital Txagorritxu, Vitoria, Alava, Spain
| | - Miquel Fiol
- Ciber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III (ISCIII), Spanish Government, Madrid, Spain
- University Institute for Health Sciences Investigation, University of Balearic Islands, Palma de Mallorca, Spain
- Department of Cardiology, Hospital Son Espases, Palma de Mallorca, Spain
| | - Rosa María Lamuela-Raventós
- Ciber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III (ISCIII), Spanish Government, Madrid, Spain
- Department of Nutrition and Bromatology, School of Pharmacy, University of Barcelona, Barcelona, Spain
| | - Miguel Ángel Martínez-González
- Ciber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III (ISCIII), Spanish Government, Madrid, Spain
- Department of Preventive Medicine and Public Health, School of Medicine – Clinica Universitaria de Navarra, University of Navarra, Pamplona, Navarra, Spain
| | - Lluís Serra-Majem
- Research Institute of Biomedical and Health Sciences, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
- Ciber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III (ISCIII), Spanish Government, Madrid, Spain
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Rodríguez-Rejón AI, Castro-Quezada I, Ruano-Rodríguez C, Ruiz-López MD, Sánchez-Villegas A, Toledo E, Artacho R, Estruch R, Salas-Salvadó J, Covas MI, Corella D, Gómez-Gracia E, Lapetra J, Pintó X, Arós F, Fiol M, Lamuela-Raventós RM, Ruiz-Gutierrez V, Schröder H, Ros E, Martínez-González MÁ, Serra-Majem L. Effect of a Mediterranean Diet Intervention on Dietary Glycemic Load and Dietary Glycemic Index: The PREDIMED Study. J Nutr Metab 2014; 2014:985373. [PMID: 25295183 PMCID: PMC4180650 DOI: 10.1155/2014/985373] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2014] [Accepted: 08/04/2014] [Indexed: 11/18/2022] Open
Abstract
Objective. To compare the one year effect of two dietary interventions with MeDiet on GL and GI in the PREDIMED trial. Methods. Participants were older subjects at high risk for cardiovascular disease. This analysis included 2866 nondiabetic subjects. Diet was assessed with a validated 137-item food frequency questionnaire (FFQ). The GI of each FFQ item was assigned by a 5-step methodology using the International Tables of GI and GL Values. Generalized linear models were fitted to assess the relationship between the intervention group and dietary GL and GI at one year of follow-up, using control group as reference. Results. Multivariate-adjusted models showed an inverse association between GL and MeDiet + extra virgin olive oil (EVOO) group: β = -8.52 (95% CI: -10.83 to -6.20) and MeDiet + Nuts group: β = -10.34 (95% CI: -12.69 to -8.00), when comparing with control group. Regarding GI, β = -0.93 (95% CI: -1.38 to -0.49) for MeDiet + EVOO, β = -1.06 (95% CI: -1.51 to -0.62) for MeDiet + Nuts when comparing with control group. Conclusion. Dietary intervention with MeDiet supplemented with EVOO or nuts lowers dietary GL and GI.
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Affiliation(s)
- Ana Isabel Rodríguez-Rejón
- Research Institute of Biomedical and Health Sciences, University of Las Palmas de Gran Canaria, Luis Pasteur s/n, 35016 Las Palmas de Gran Canaria, Spain
- Department of Nutrition and Food Science, School of Pharmacy, University of Granada, Campus Universitario de la Cartuja, 18071 Granada, Spain
| | - Itandehui Castro-Quezada
- Research Institute of Biomedical and Health Sciences, University of Las Palmas de Gran Canaria, Luis Pasteur s/n, 35016 Las Palmas de Gran Canaria, Spain
- Department of Nutrition and Food Science, School of Pharmacy, University of Granada, Campus Universitario de la Cartuja, 18071 Granada, Spain
| | - Cristina Ruano-Rodríguez
- Research Institute of Biomedical and Health Sciences, University of Las Palmas de Gran Canaria, Luis Pasteur s/n, 35016 Las Palmas de Gran Canaria, Spain
- Ciber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III, Edificio D 1º Planta, Hospital Clínico Universitario de Santiago de Compostela Choupana s/n, 15706 Santiago de Compostela, Spain
| | - María Dolores Ruiz-López
- Department of Nutrition and Food Science, School of Pharmacy, University of Granada, Campus Universitario de la Cartuja, 18071 Granada, Spain
| | - Almudena Sánchez-Villegas
- Research Institute of Biomedical and Health Sciences, University of Las Palmas de Gran Canaria, Luis Pasteur s/n, 35016 Las Palmas de Gran Canaria, Spain
- Ciber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III, Edificio D 1º Planta, Hospital Clínico Universitario de Santiago de Compostela Choupana s/n, 15706 Santiago de Compostela, Spain
| | - Estefanía Toledo
- Ciber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III, Edificio D 1º Planta, Hospital Clínico Universitario de Santiago de Compostela Choupana s/n, 15706 Santiago de Compostela, Spain
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, Irunlarrea 1, Pamplona, 31080 Navarra, Spain
| | - Reyes Artacho
- Department of Nutrition and Food Science, School of Pharmacy, University of Granada, Campus Universitario de la Cartuja, 18071 Granada, Spain
| | - Ramón Estruch
- Ciber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III, Edificio D 1º Planta, Hospital Clínico Universitario de Santiago de Compostela Choupana s/n, 15706 Santiago de Compostela, Spain
- Department of Internal Medicine, Hospital Clinic, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Villarroel 170, 08036 Barcelona, Spain
| | - Jordi Salas-Salvadó
- Ciber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III, Edificio D 1º Planta, Hospital Clínico Universitario de Santiago de Compostela Choupana s/n, 15706 Santiago de Compostela, Spain
- Human Nutrition Department, School of Medicine, University Rovira i Virgili, Sant Llorenc 21, Reus, 43201 Tarragona, Spain
| | - María Isabel Covas
- Ciber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III, Edificio D 1º Planta, Hospital Clínico Universitario de Santiago de Compostela Choupana s/n, 15706 Santiago de Compostela, Spain
- Cardiovascular Risk and Nutrition Research Group, Institut Municipal d'Investigació Medica (IMIM), Institut de Recerca del Hospital del Mar, Dr. Aiguader 88, 08003 Barcelona, Spain
| | - Dolores Corella
- Ciber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III, Edificio D 1º Planta, Hospital Clínico Universitario de Santiago de Compostela Choupana s/n, 15706 Santiago de Compostela, Spain
- Department of Preventive Medicine, School of Medicine, University of Valencia, Avenida Blasco Ibáñez 15, 46010 Valencia, Spain
| | - Enrique Gómez-Gracia
- Ciber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III, Edificio D 1º Planta, Hospital Clínico Universitario de Santiago de Compostela Choupana s/n, 15706 Santiago de Compostela, Spain
- Department of Preventive Medicine, School of Medicine, University of Malaga, Campus de Teatinos s/n, 29071 Malaga, Spain
| | - José Lapetra
- Ciber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III, Edificio D 1º Planta, Hospital Clínico Universitario de Santiago de Compostela Choupana s/n, 15706 Santiago de Compostela, Spain
- Department of Family Medicine, Primary Care Division of Sevilla, San Pablo Health Center, Damasco s/n, 41007 Sevilla, Spain
| | - Xavier Pintó
- Ciber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III, Edificio D 1º Planta, Hospital Clínico Universitario de Santiago de Compostela Choupana s/n, 15706 Santiago de Compostela, Spain
- Internal Medicine Service, Hospital of Bellvitge, c/Feixa Llarga s/n, L'Hospitalet de Llobregat, 08907 Barcelona, Spain
| | - Fernando Arós
- Ciber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III, Edificio D 1º Planta, Hospital Clínico Universitario de Santiago de Compostela Choupana s/n, 15706 Santiago de Compostela, Spain
- Department of Cardiology, Hospital Txagorritxu, Jose Achotegui s/n, Vitoria, 01009 Alava, Spain
| | - Miquel Fiol
- Ciber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III, Edificio D 1º Planta, Hospital Clínico Universitario de Santiago de Compostela Choupana s/n, 15706 Santiago de Compostela, Spain
- Institute of Health Sciences (IUNICS), University of Balearic Islands and Hospital Son Espases, Carretera de Valldemossa 79, 07120 Palma de Mallorca, Spain
- Department of Cardiology, Hospital Universitario Son Dureta, Andrea Doria 55, 07014 Palma de Mallorca, Spain
| | - Rosa María Lamuela-Raventós
- Ciber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III, Edificio D 1º Planta, Hospital Clínico Universitario de Santiago de Compostela Choupana s/n, 15706 Santiago de Compostela, Spain
- Department of Nutrition and Bromatology, School of Pharmacy, University of Barcelona, Avenida Joan XXIII s/n, 08028 Barcelona, Spain
| | - Valentina Ruiz-Gutierrez
- Ciber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III, Edificio D 1º Planta, Hospital Clínico Universitario de Santiago de Compostela Choupana s/n, 15706 Santiago de Compostela, Spain
- Group of Nutrition and Lipid Metabolism, Instituto de la Grasa (CSIC), Avenida Padre García Tejero 4, 41012 Seville, Spain
| | - Helmut Schröder
- Cardiovascular Risk and Nutrition Research Group, Institut Municipal d'Investigació Medica (IMIM), Institut de Recerca del Hospital del Mar, Dr. Aiguader 88, 08003 Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Melchor Fernández Almagro 3-5, 28029 Madrid, Spain
| | - Emilio Ros
- Ciber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III, Edificio D 1º Planta, Hospital Clínico Universitario de Santiago de Compostela Choupana s/n, 15706 Santiago de Compostela, Spain
- Lipid Clinic, Endocrinology and Nutrition Service, Hospital Clinic, IDIBAPS, Villarroel 170, 08036 Barcelona, Spain
| | - Miguel Ángel Martínez-González
- Ciber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III, Edificio D 1º Planta, Hospital Clínico Universitario de Santiago de Compostela Choupana s/n, 15706 Santiago de Compostela, Spain
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, Irunlarrea 1, Pamplona, 31080 Navarra, Spain
| | - Lluis Serra-Majem
- Research Institute of Biomedical and Health Sciences, University of Las Palmas de Gran Canaria, Luis Pasteur s/n, 35016 Las Palmas de Gran Canaria, Spain
- Ciber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III, Edificio D 1º Planta, Hospital Clínico Universitario de Santiago de Compostela Choupana s/n, 15706 Santiago de Compostela, Spain
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Manthou E, Kanaki M, Georgakouli K, Deli CK, Kouretas D, Koutedakis Y, Jamurtas AZ. Glycemic response of a carbohydrate-protein bar with ewe-goat whey. Nutrients 2014; 6:2240-50. [PMID: 24926525 PMCID: PMC4073147 DOI: 10.3390/nu6062240] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2014] [Revised: 05/21/2014] [Accepted: 05/26/2014] [Indexed: 11/16/2022] Open
Abstract
In this study we examined the glycaemic index (GI) and glycaemic load (GL) of a functional food product, which contains ewe-goat whey protein and carbohydrates in a 1:1 ratio. Nine healthy volunteers, (age, 23.3 ± 3.9 years; body mass index, 24.2 ± 4.1 kg·m2; body fat %, 18.6 ± 10.0) randomly consumed either a reference food or amount of the test food both with equal carbohydrate content in two visits. In each visit, seven blood samples were collected; the first sample after an overnight fast and the remaining six at 15, 30, 45, 60, 90 and 120 min after the beginning of food consumption. Plasma glucose concentration was measured and the GI was determined by calculation of the incremental area under the curve. The GL was calculated using the equation: test food GI/100 g available carbohydrates per test food serving. The GI of the test food was found to be 5.18 ± 3.27, while the GL of one test food serving was 1.09 ± 0.68. These results indicate that the tested product can be classified as a low GI (<55) and low GL (<10) food. Given the health benefits of low glycaemic response foods and whey protein consumption, the tested food could potentially promote health beyond basic nutrition.
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Affiliation(s)
- Eirini Manthou
- Department of Nutrition and Dietetics, Technological Educational Institute of Thessaly, Karditsa 43100, Greece.
| | - Maria Kanaki
- Department of Nutrition and Dietetics, Technological Educational Institute of Thessaly, Karditsa 43100, Greece.
| | - Kalliopi Georgakouli
- Department of Physical Education and Sport Science, University of Thessaly, Trikala 42100, Greece.
| | - Chariklia K Deli
- Department of Physical Education and Sport Science, University of Thessaly, Trikala 42100, Greece.
| | - Dimitrios Kouretas
- Department of Biochemistry-Biotechnology, University of Thessaly, Larissa 41221, Greece.
| | - Yiannis Koutedakis
- Department of Physical Education and Sport Science, University of Thessaly, Trikala 42100, Greece.
| | - Athanasios Z Jamurtas
- Department of Physical Education and Sport Science, University of Thessaly, Trikala 42100, Greece.
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Hernandez AV, Guarnizo M, Miranda Y, Pasupuleti V, Deshpande A, Paico S, Lenti H, Ganoza S, Montalvo L, Thota P, Lazaro H. Association between insulin resistance and breast carcinoma: a systematic review and meta-analysis. PLoS One 2014; 9:e99317. [PMID: 24911052 PMCID: PMC4049776 DOI: 10.1371/journal.pone.0099317] [Citation(s) in RCA: 63] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2013] [Accepted: 05/13/2014] [Indexed: 12/30/2022] Open
Abstract
Objective This study was undertaken to evaluate the association between components defining insulin resistance and breast cancer in women. Study Design We conducted a systematic review of four databases (PubMed-Medline, EMBASE, Web of Science, and Scopus) for observational studies evaluating components defining insulin resistance in women with and without breast cancer. A meta-analysis of the association between insulin resistance components and breast cancer was performed using random effects models. Results Twenty-two studies (n = 33,405) were selected. Fasting insulin levels were not different between women with and without breast cancer (standardized mean difference, SMD −0.03, 95%CI −0.32 to 0.27; p = 0.9). Similarly, non-fasting/fasting C-peptide levels were not different between the two groups (mean difference, MD 0.07, −0.21 to 0.34; p = 0.6). Using individual odds ratios (ORs) adjusted at least for age, there was no higher risk of breast cancer when upper quartiles were compared with the lowest quartile (Q1) of fasting insulin levels (OR Q2 vs. Q1 0.96, 0.71 to 1.28; OR Q3 vs. Q1 1.22, 0.91 to 1.64; OR Q4 vs. Q1 0.98, 0.70 to 1.38). Likewise, there were no differences for quartiles of non-fasting/fasting C-peptide levels (OR Q2 vs. Q1 1.12, 0.91 to 1.37; OR Q3 vs. Q1 1.20, 0.91 to 1.59; OR Q4 vs. Q1 1.40, 1.03 to 1.92). Homeostatic model assessment (HOMA-IR) levels in breast cancer patients were significantly higher than in people without breast cancer (MD 0.22, 0.13 to 0.31, p<0.00001). Conclusions Higher levels of fasting insulin or non-fasting/fasting C-peptide are not associated with breast cancer in women. HOMA-IR levels are slightly higher in women with breast cancer.
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Affiliation(s)
- Adrian V. Hernandez
- Instituto Médico de la Mujer/Instituto Médico Metabólico, Lima, Peru
- Postgraduate and Medical Schools, Universidad Peruana de Ciencias Aplicadas (UPC), Lima, Peru
- Health Outcomes and Clinical Epidemiology Section, Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, United States of America
- * E-mail:
| | - Mirella Guarnizo
- Instituto Médico de la Mujer/Instituto Médico Metabólico, Lima, Peru
| | - Yony Miranda
- Instituto Médico de la Mujer/Instituto Médico Metabólico, Lima, Peru
| | - Vinay Pasupuleti
- Department of Medicine, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Abhishek Deshpande
- Department of Medicine, Case Western Reserve University, Cleveland, Ohio, United States of America
- Department of Medicine, Medicine Institute, Cleveland Clinic, Cleveland, Ohio, United States of America
| | - Socorro Paico
- Instituto Médico de la Mujer/Instituto Médico Metabólico, Lima, Peru
| | - Hosten Lenti
- Instituto Médico de la Mujer/Instituto Médico Metabólico, Lima, Peru
| | - Silvia Ganoza
- Instituto Médico de la Mujer/Instituto Médico Metabólico, Lima, Peru
| | - Laritza Montalvo
- Instituto Médico de la Mujer/Instituto Médico Metabólico, Lima, Peru
| | - Priyaleela Thota
- Department of Medicine, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Herbert Lazaro
- Instituto Médico de la Mujer/Instituto Médico Metabólico, Lima, Peru
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Zelenskiy S, Thompson CL, Tucker TC, Li L. High dietary glycemic load is associated with increased risk of colon cancer. Nutr Cancer 2014; 66:362-8. [PMID: 24611536 DOI: 10.1080/01635581.2014.884231] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
High dietary glycemic load (GL) has been inconsistently associated with risk of colon cancer. We analyzed data for 1093 incident cases and 1589 controls in a population-based case-control study of colon cancer to further clarify the GL-colon cancer relationship. GL was assessed using a self-administered food frequency questionnaire. Cases had a significantly higher GL intake (mean = 136.4, SD = 24.5) than controls (mean = 132.8, SD = 25.2) (P = 0.0003). In a multivariate unconditional logistic regression model, the odds ratios (ORs) for colon cancer increased significantly with increasing GL: compared to the bottom quartile of GL, the ORs (95% CI) for the 2nd through the upper quartiles were 1.38 (1.06, 1.80), 1.67 (1.30, 2.13), and 1.61 (1.25, 2.07), respectively (P trend < 0.0001). Stratified analyses showed that the association was more pronounced among older participants [ORs (95% CI) for the 2nd through the upper quartiles were 1.35 (0.91, 2.00), 1.87 (1.29, 2.71), 2.02 (1.39, 2.95), respectively] than among younger participants [ORs were 1.46 (1.02, 2.10), 1.53 (1.09, 2.15), and 1.35 (0.96, 1.91), respectively] (P int = 0.02). Our results provide support for the hypothesis that a diet with high GL increases the risk of colon cancer.
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Affiliation(s)
- Svetlana Zelenskiy
- a Department of Family Medicine and Community Health and Department of Epidemiology and Biostatistics , Case Western Reserve University , Cleveland , Ohio , USA
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79
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García-Jiménez C, García-Martínez JM, Chocarro-Calvo A, De la Vieja A. A new link between diabetes and cancer: enhanced WNT/β-catenin signaling by high glucose. J Mol Endocrinol 2014; 52:R51-66. [PMID: 24049067 DOI: 10.1530/jme-13-0152] [Citation(s) in RCA: 98] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Extensive epidemiological studies suggest that the diabetic population is at higher risk of site-specific cancers. The diabetes-cancer link has been hypothesized to rely on various hormonal (insulin, IGF1, adipokines), immunological (inflammation), or metabolic (hyperglycemia) characteristics of the disease and even on certain treatments. Inflammation may have an important but incompletely understood role. As a growth factor, insulin directly, or indirectly through IGF1, has been considered the major link between diabetes and cancer, while high glucose has been considered as a subordinate cause. Here we discuss the evidence that supports a role for insulin/IGF1 in general in cancer, and the mechanism by which hyperglycemia may enhance the appearance, growth and survival of diabetes-associated cancers. High glucose triggers several direct and indirect mechanisms that cooperate to promote cancer cell proliferation, migration, invasion and immunological escape. In particular, high glucose enhancement of WNT/β-catenin signaling in cancer cells promotes proliferation, survival and senescence bypass, and represents a previously unrecognized direct mechanism linking diabetes-associated hyperglycemia to cancer. Increased glucose uptake is a hallmark of tumor cells and may ensure enhanced WNT signaling for continuous proliferation. Mechanistically, high glucose unbalances acetylation through increased p300 acetyl transferase and decreased sirtuin 1 deacetylase activity, leading to β-catenin acetylation at lysine K354, a requirement for nuclear accumulation and transcriptional activation of WNT-target genes. The impact of high glucose on β-catenin illustrates the remodeling of cancer-associated signaling pathways by metabolites. Metabolic remodeling of cancer-associated signaling will receive much research attention in the coming years. Future epidemiological studies may be guided and complemented by the identification of these metabolic interplays. Together, these studies should lead to the development of new preventive strategies for diabetes-associated cancers.
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Affiliation(s)
- Custodia García-Jiménez
- Departamento de Fisiología y Bioquímica, Facultad de Ciencias de la Salud, Universidad Rey Juan Carlos, 28922 Alcorcon, Madrid, Spain Unidad Funcional de Investigación en Enfermedades Crónicas (UFIEC), Instituto de Salud Carlos III, 28220 Majadahonda, Madrid, Spain
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80
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Coleman HG, Kitahara CM, Murray LJ, Dodd KW, Black A, Stolzenberg-Solomon RZ, Cantwell MM. Dietary carbohydrate intake, glycemic index, and glycemic load and endometrial cancer risk: a prospective cohort study. Am J Epidemiol 2014; 179:75-84. [PMID: 24091889 PMCID: PMC5855529 DOI: 10.1093/aje/kwt222] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2013] [Accepted: 08/21/2013] [Indexed: 12/20/2022] Open
Abstract
Endometrial cancer risk has been directly associated with glycemic load. However, few studies have investigated this link, and the etiological role of specific dietary carbohydrate components remains unclear. Our aim was to investigate associations of carbohydrate intake, glycemic index, and glycemic load with endometrial cancer risk in the US Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial. Recruitment took place in 1993-2001. Over a median of 9.0 years of follow-up through 2009, 386 women developed endometrial cancer among 36,115 considered in the analysis. Dietary intakes were assessed using a 124-item diet history questionnaire. Cox proportional hazards models were applied to calculate hazard ratios and 95% confidence intervals. Significant inverse associations were detected between endometrial cancer risk and total available carbohydrate intake (hazard ratio (HR) = 0.66, 95% confidence interval (CI): 0.49, 0.90), total sugars intake (HR = 0.71, 95% CI: 0.52, 0.96), and glycemic load (HR = 0.63, 95% CI: 0.46, 0.84) when women in the highest quartile of intake were compared with those in the lowest. These inverse associations were strongest among overweight and obese women. No associations with endometrial cancer risk were observed for glycemic index or dietary fiber. Our findings contrast with previous evidence and suggest that high carbohydrate intakes and glycemic loads are protective against endometrial cancer development. Further clarification of these associations is warranted.
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Affiliation(s)
- Helen G. Coleman
- Correspondence to Dr. Helen G. Coleman, Centre for Public Health, Queen's University Belfast, ICS-B Building, Royal Victoria Hospital, Grosvenor Road, Belfast BT12 6BJ, Northern Ireland (e-mail: )
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81
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Augustin LSA, Malerba S, Lugo A, Franceschi S, Talamini R, Serraino D, Jenkins DJA, La Vecchia C. Associations of bread and pasta with the risk of cancer of the breast and colorectum. Ann Oncol 2013; 24:3094-9. [PMID: 24155133 DOI: 10.1093/annonc/mdt383] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Carbohydrate foods with high glycemic and insulinemic potential may influence cancer risk possibly through the insulin/growth-factor axis. Two staple carbohydrate foods of the Mediterranean diet, bread and pasta, have different glycemic and insulinemic responses and hence may affect cancer risk differently. MATERIALS AND METHODS We studied the association of bread and pasta with breast and colorectal cancer risk using data from two Italian case-control studies. These studies included 2569 women with histologically confirmed breast cancer and 1953 men and women with colorectal cancer. Controls were 2588 and 4154, respectively, admitted to the same hospitals as cases for acute, non-neoplastic conditions. Multivariate odds ratios (ORs) were obtained after allowance for relevant confounding factors. RESULTS The ORs of breast cancer for the highest versus the lowest quintile were 1.28 (95% confidence interval, CI: 1.03-1.58, P-trend = 0.0342) for bread and 1.07 (95% CI: 0.88-1.31, P-trend = 0.7072) for pasta. The association with bread remained virtually unchanged with postmenopause and overweight. The ORs of colorectal cancer in women for the highest versus the lowest quintile were 2.02 (95% CI: 1.46-2.80, P-trend = 0.0002) for bread and 1.37 (95% CI: 1.00-1.88, P-trend = 0.0164) for pasta. The associations remained significant only for bread in strata of menopausal status and in women with overweight. No significant associations were seen in men for either bread or pasta. CONCLUSIONS Overall, these two cancer case-control studies showed stronger positive associations with bread than pasta in women, particularly if overweight, suggesting possible hormonal-related mechanisms.
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Affiliation(s)
- L S A Augustin
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto and Clinical Nutrition & Risk Factor Modification Center, St. Michael's Hospital, Toronto, Canada
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82
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Woo HD, Park KS, Shin A, Ro J, Kim J. Glycemic Index and Glycemic Load Dietary Patterns and the Associated Risk of Breast Cancer: A Case-control Study. Asian Pac J Cancer Prev 2013; 14:5193-8. [DOI: 10.7314/apjcp.2013.14.9.5193] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
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83
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Eating frequency and risk of colorectal cancer. Cancer Causes Control 2013; 24:2107-15. [PMID: 24057417 DOI: 10.1007/s10552-013-0288-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2013] [Accepted: 09/04/2013] [Indexed: 12/20/2022]
Abstract
PURPOSE Eating frequency is a modifiable aspect of dietary behavior that may affect risk of colorectal cancer (CRC). Although most previous case-control studies indicate a positive association, two prospective studies suggest an inverse association between eating frequency and CRC risk, with evidence of effect modification by diet composition. We examined the association between eating frequency and CRC in a large, prospective cohort study, and explored whether this relationship was modified by sex, coffee consumption, or dietary glycemic load. METHODS Between 2000 and 2002, 67,912 western Washington residents aged 50-76 reported average daily meal and snack frequency using a mailed questionnaire as part of the vitamins and lifestyle study. Participants were followed for CRC through linkage with SEER through 2008, over which time 409 CRC cases developed. Hazard Ratios and 95 % Confidence Intervals were obtained using Cox regression. RESULTS In age- and sex-adjusted models higher (5+ times/d) vs. lower (1-2 times/d) eating frequency was associated with a HR of 0.62 (95 % CI 0.43-0.88, Ptrend = 0.001). However, following further adjustment for BMI, race/ethnicity, alcohol, and other known CRC risk factors, the relationship was no longer statistically significant (HR: 0.76; 95 % CI 0.51, 1.14). No effect modification was observed by sex (Pinteraction = 0.45), coffee consumption (Pinteraction = 0.44), or dietary glycemic load (Pinteraction = 0.90). In subgroup analyses by tumor site, higher vs. lower eating frequency was associated with lower risk for colon (HR 0.65 95 % CI 0.39-1.07, Ptrend = 0.04), but not rectal cancers (HR = 1.08 95 % CI 0.54-2.18, Ptrend = 0.94). CONCLUSION The weak inverse association observed between eating frequency and CRC is consistent with findings from other prospective studies. Modification of this relationship by diet quality and participant characteristics should be considered in the future studies.
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84
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Growth of xenotransplanted leukemia cells is influenced by diet nutrients and is attenuated with 2-deoxyglucose. Leuk Res 2013; 37:1132-6. [DOI: 10.1016/j.leukres.2013.05.017] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2013] [Revised: 04/15/2013] [Accepted: 05/26/2013] [Indexed: 12/31/2022]
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85
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Lamport DJ, Hoyle E, Lawton CL, Mansfield MW, Dye L. Evidence for a second meal cognitive effect: glycaemic responses to high and low glycaemic index evening meals are associated with cognition the following morning. Nutr Neurosci 2013; 14:66-71. [DOI: 10.1179/1476830511y.0000000002] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
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86
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The Variability of oxLDL-induced Cytotoxicity on Different Types of Cell Lines. Cell Biochem Biophys 2013; 67:635-44. [DOI: 10.1007/s12013-013-9552-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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87
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Diabetes and risk of cancer. ISRN ONCOLOGY 2013; 2013:583786. [PMID: 23476808 PMCID: PMC3582053 DOI: 10.1155/2013/583786] [Citation(s) in RCA: 66] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 12/24/2012] [Accepted: 01/09/2013] [Indexed: 12/19/2022]
Abstract
Diabetes and cancer represent two complex, diverse, chronic, and potentially fatal diseases. Cancer is the second leading cause of death, while diabetes is the seventh leading cause of death with the latter still likely underreported. There is a growing body of evidence published in recent years that suggest substantial increase in cancer incidence in diabetic patients. The worldwide prevalence of diabetes was estimated to rise from 171 million in 2000 to 366 million in 2030. About 26.9% of all people over 65 have diabetes and 60% have cancer. Overall, 8–18% of cancer patients have diabetes. In the context of epidemiology, the burden of both diseases, small association between diabetes and cancer will be clinically relevant and should translate into significant consequences for future health care solutions. This paper summarizes most of the epidemiological association studies between diabetes and cancer including studies relating to the general all-site increase of malignancies in diabetes and elevated organ-specific cancer rate in diabetes as comorbidity. Additionally, we have discussed the possible pathophysiological mechanisms that likely may be involved in promoting carcinogenesis in diabetes and the potential of different antidiabetic therapies to influence cancer incidence.
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88
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Chocarro-Calvo A, García-Martínez J, Ardila-González S, De la Vieja A, García-Jiménez C. Glucose-Induced β-Catenin Acetylation Enhances Wnt Signaling in Cancer. Mol Cell 2013; 49:474-86. [DOI: 10.1016/j.molcel.2012.11.022] [Citation(s) in RCA: 132] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2012] [Revised: 10/23/2012] [Accepted: 11/20/2012] [Indexed: 12/13/2022]
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Meyerhardt JA, Sato K, Niedzwiecki D, Ye C, Saltz LB, Mayer RJ, Mowat RB, Whittom R, Hantel A, Benson A, Wigler DS, Venook A, Fuchs CS. Dietary glycemic load and cancer recurrence and survival in patients with stage III colon cancer: findings from CALGB 89803. J Natl Cancer Inst 2012; 104:1702-11. [PMID: 23136358 PMCID: PMC3502194 DOI: 10.1093/jnci/djs399] [Citation(s) in RCA: 121] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2012] [Revised: 08/06/2012] [Accepted: 08/13/2012] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND The influence of glycemic load and related measures on survival among colon cancer patients remains largely unknown. METHODS We conducted a prospective, observational study of 1011 stage III colon cancer patients reporting dietary intake during and 6 months after participation in an adjuvant chemotherapy trial. We examined the influence of glycemic load, glycemic index, fructose, and carbohydrate intakes on cancer recurrence and mortality using Cox proportional hazards regression; all tests of statistical significance were two-sided. RESULTS Stage III colon cancer patients in the highest quintile of dietary glycemic load experienced an adjusted hazard ratio (HR) for disease-free survival of 1.79 (95% confidence interval [CI] = 1.29 to 2.48), compared with those in the lowest quintile (P (trend) across quintiles <.001). Increased glycemic load was associated with similar detriments in recurrence-free (P (trend) across quintiles <.001) and overall survival (P (trend) across quintiles <.001). These associations differed statistically significant by body mass index (BMI) (P (interaction) =.01). Whereas glycemic load was not associated with disease-free survival in patients with BMI < 25kg/m(2), higher glycemic load was statistically significant associated with worse disease-free survival among overweight or obese participants (BMI ≥ 25kg/m(2); HR = 2.26; 95% CI = 1.53 to 3.32; P (trend) across quintiles <.001). Increasing total carbohydrate intake was similarly associated with inferior disease-free, recurrence-free, and overall survival (P (trend) across quintiles <.001). CONCLUSION Higher dietary glycemic load and total carbohydrate intake were statistically significant associated with an increased risk of recurrence and mortality in stage III colon cancer patients. These findings support the role of energy balance factors in colon cancer progression and may offer potential opportunities to improve patient survival.
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90
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Glycaemic index and glycaemic load in relation to risk of diabetes-related cancers: a meta-analysis. Br J Nutr 2012; 108:1934-47. [PMID: 23167978 DOI: 10.1017/s0007114512003984] [Citation(s) in RCA: 83] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
Diets high in glycaemic index (GI) or glycaemic load (GL) have been hypothesised to increase the risks of certain cancers by increasing blood glucose or insulin concentrations. We aimed to conduct a meta-analysis of prospective cohort studies to evaluate the association between GI or GL and diabetes-related cancers (DRC), including bladder, breast, colon-rectum, endometrium, liver and pancreas, which are associated with an increased risk for diabetes, and prostate cancer, which is associated with a reduced risk for diabetes. We searched Pubmed, EMBASE and MEDLINE databases up to September 2011 and reference lists of relevant articles. Relative risks (RR) and 95 % CI for the highest v. the lowest categories were extracted and pooled using a random-effects model. Thirty-six prospective cohort studies with a total of 60 811 DRC cases were included in the present meta-analysis. In a comparison of the highest and lowest categories, the pooled RR of DRC were 1·07 (95 % CI 1·04, 1·11; n 30) for GI and 1·02 (95 % CI 0·96, 1·08; n 33) for GL. In an analysis of site-specific cancer risks, we found significant associations for GI in relation to breast cancer (RR 1·06; 95 % CI 1·02, 1·11; n 11) and colorectal cancer (RR 1·08; 95 % CI 1·00, 1·17; n 9 studies). GL was significantly associated with the risk of endometrial cancer (RR 1·21; 95 % CI 1·07, 1·37; n 5). In conclusion, the findings of the present study suggest a modest-to-weak association between a diet that induces a high glucose response and DRC risks.
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Runchey SS, Pollak MN, Valsta LM, Coronado GD, Schwarz Y, Breymeyer KL, Wang C, Wang CY, Lampe JW, Neuhouser ML. Glycemic load effect on fasting and post-prandial serum glucose, insulin, IGF-1 and IGFBP-3 in a randomized, controlled feeding study. Eur J Clin Nutr 2012; 66:1146-52. [PMID: 22892437 PMCID: PMC3463643 DOI: 10.1038/ejcn.2012.107] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2012] [Revised: 06/22/2012] [Accepted: 07/13/2012] [Indexed: 01/17/2023]
Abstract
BACKGROUND/OBJECTIVES The effect of a low glycemic load (GL) diet on insulin-like growth factor-1 (IGF-1) concentration is still unknown but may contribute to lower chronic disease risk. We aimed to assess the impact of GL on concentrations of IGF-1 and IGF-binding protein-3 (IGFBP-3). SUBJECTS/METHODS We conducted a randomized, controlled crossover feeding trial in 84 overweight obese and normal weight healthy individuals using two 28-day weight-maintaining high- and low-GL diets. Measures were fasting and post-prandial concentrations of insulin, glucose, IGF-1 and IGFBP-3. In all 80 participants completed the study and 20 participants completed post-prandial testing by consuming a test breakfast at the end of each feeding period. We used paired t-tests for diet component and linear mixed models for biomarker analyses. RESULTS The 28-day low-GL diet led to 4% lower fasting concentrations of IGF-1 (10.6 ng/ml, P=0.04) and a 4% lower ratio of IGF-1/IGFBP-3 (0.24, P=0.01) compared with the high-GL diet. The low-GL test breakfast led to 43% and 27% lower mean post-prandial glucose and insulin responses, respectively; mean incremental areas under the curve for glucose and insulin, respectively, were 64.3±21.8 (mmol/l/240 min; P<0.01) and 2253±539 (μU/ml/240 min; P<0.01) lower following the low- compared with the high-GL test meal. There was no effect of GL on mean homeostasis model assessment for insulin resistance or on mean integrated post-prandial concentrations of glucose-adjusted insulin, IGF-1 or IGFBP-3. We did not observe modification of the dietary effect by adiposity. CONCLUSIONS Low-GL diets resulted in 43% and 27% lower post-prandial responses of glucose and insulin, respectively, and modestly lower fasting IGF-1 concentrations. Further intervention studies are needed to weigh the impact of dietary GL on risk for chronic disease.
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Affiliation(s)
- S S Runchey
- Division of Endocrinology, Metabolism and Nutrition, Department of Medicine, University of Washington, Seattle, WA, USA
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Phaseolus beans: impact on glycaemic response and chronic disease risk in human subjects. Br J Nutr 2012; 108 Suppl 1:S52-65. [DOI: 10.1017/s0007114512000761] [Citation(s) in RCA: 55] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Consumption of Phaseolus vulgaris bean species such as pinto, black, navy or kidney may be beneficial in the prevention and treatment of chronic diseases. In particular, conditions that are promoted by increased glycaemic stress (hyperglycaemia and hyperinsulinaemia) including diabetes, CVD and cancer seem to be reduced in individuals who eat more of these beans. The present paper discusses the influence of P. vulgaris species on glycaemic response and the impact that relationship may have on the risk of developing diabetes, CVD and cancer.
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Vogtmann E, Li HL, Shu XO, Chow WH, Ji BT, Cai H, Gao J, Zhang W, Gao YT, Zheng W, Xiang YB. Dietary glycemic load, glycemic index, and carbohydrates on the risk of primary liver cancer among Chinese women and men. Ann Oncol 2012; 24:238-44. [PMID: 22898034 DOI: 10.1093/annonc/mds287] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Dietary glycemic index (GI) and glycemic load (GL) typically have a positive relationship with obesity and diabetes, which are risk factors for liver cancer. However, studies on their association with liver cancer have yielded inconsistent results. Therefore, we assessed the association of GI, GL, and carbohydrates with liver cancer risk. PATIENTS AND METHODS A total of 72 966 women and 60 207 men from the Shanghai Women's Health Study (SWHS) and the Shanghai Men's Health Study (SMHS) were included for analysis. Food frequency questionnaire (FFQ) data were used to calculate daily dietary GI, GL, and carbohydrate intake. These values were energy adjusted and categorized into quintiles. The hazard ratios (HRs) and 95% confidence intervals (CI) were calculated with adjustment for potential confounders. RESULTS After a median follow-up time of 11.2 years for the SWHS and 5.3 years for the SMHS, 139 and 208 incident liver cancer cases were identified in the SWHS and SMHS, respectively. In multivariable Cox regression models, no statistically significant trends by quintile of GI, GL, or carbohydrate intake were observed. Stratification by chronic liver disease/hepatitis, diabetes, or body mass index (BMI) did not alter the findings. CONCLUSIONS There is little evidence that dietary GI, GL, or carbohydrates affect the incidence of liver cancer in this Asian population.
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Affiliation(s)
- E Vogtmann
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
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Abstract
Diet and nutrition are estimated to explain as much as 30%-50% of the worldwide incidence of colorectal cancer. In 2007, the World Cancer Research Fund (WCRF), in conjunction with the American Institute for Cancer Research (AICR), released the second expert report that summarizes the current scientific evidence linking diet to the prevention of cancer. This text provides an expert summary and level of evidence of the research relating diet/nutrients to factors that influence cancers of multiple organs, including colon and rectum, with an important emphasis on global patterns. Specific examples include dietary fat, red and processed meat, and dairy, as well effects of nutrients such as calcium, folate, and vitamin D. Evidence is obtained from ongoing systematic literature reviews conducted by experts in both the United States and Europe. The expert panel applies standard practices to evaluate the strength and quality of individual studies to draw summary conclusions. In 2011, the report was updated to include findings from a series of meta-analyses published in 2010. To complement the WCRF/AICR report, the authors review the evidence favoring the role for diet and nutrition in the etiology of colorectal cancer. Specifically, they have integrated information gained from more recent meta-analyses and high-quality, prospective study findings, some of which have been included in the 2011 updated WCRF/AICR summary.
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Affiliation(s)
- Ashley J Vargas
- Department of Nutritional Sciences, University of Arizona Cancer Center, Tucson, Arizona, USA
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95
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Hu J, La Vecchia C, Augustin LS, Negri E, de Groh M, Morrison H, Mery L. Glycemic index, glycemic load and cancer risk. Ann Oncol 2012; 24:245-51. [PMID: 22831983 DOI: 10.1093/annonc/mds235] [Citation(s) in RCA: 69] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Dietary glycemic index (GI) and glycemic load (GL) have been related to the risk of selected cancers, but the issue remains open. PATIENTS AND METHODS Mailed questionnaires were completed between 1994 and 1997 in eight Canadian provinces for incident, histologically confirmed cases of the stomach (n=1182), colon (n=1727), rectum (n=1447), liver (n=309), pancreas (n=628), lung (n=3341), breast (n=2362), ovary (n=442), prostate (n=1799), testis (n=686), kidney (n=1345), bladder (n=1029), brain (n=1009), non-Hodgkin's lymphomas (NHL, n=1666), leukemias (n=1069), multiple myelomas (n=343), and 5039 population controls. Dietary information on eating habits 2 years before participants' enrollment in the study was obtained using a validated food frequency questionnaire (FFQ). Odds ratios (ORs) and 95% confidence intervals (CI) were derived by unconditional logistic regression including recognized confounding factors. RESULTS Dietary GI was positively associated with the risk of prostate cancer (OR, 1.26 for the highest versus the lowest quartile). A higher dietary GL significantly increased the risk of colorectal (OR, 1.28), rectal (OR, 1.44) and pancreatic (OR, 1.41) cancers. No other significant associations were found. CONCLUSIONS Our findings suggest that a diet high in GI and GL is associated with increased risk of selected cancers.
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Affiliation(s)
- J Hu
- Science Integration Division, Centre for Chronic Disease Prevention and Control, Public Health Agency of Canada, Ottawa, ON, Canada.
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96
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Abstract
PURPOSE OF REVIEW There is a growing body of in-vivo evidences that sucrose-rich diets cause mutations in the rat colon epithelium, with several biological mechanism hypothesized, but epidemiological studies have yielded conflicting results. In order to provide a quantification of the magnitude of the risk of colon cancer for high intake of added sugar, high dietary glycemic index and glycemic load, we performed a meta-analysis based on a systematic review of the literature to date. RECENT FINDINGS Recent epidemiological data indicate a lack of association between high intake of added sugar, high-glycemic index and glycemic load diets and risk of colon cancer. SUMMARY There is no consistent evidence from epidemiological studies, although a modest excess risk emerged in case-control studies, that added sugars, dietary glycemic index and glycemic load are associated with increased risk of colon cancer, independently from their effect on energy intake, overweight, obesity and diabetes, which are related to excess colon cancer risk.
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97
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Nagle CM, Olsen CM, Ibiebele TI, Spurdle AB, Webb PM. Glycemic index, glycemic load and endometrial cancer risk: results from the Australian National Endometrial Cancer study and an updated systematic review and meta-analysis. Eur J Nutr 2012; 52:705-15. [PMID: 22648201 DOI: 10.1007/s00394-012-0376-7] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2011] [Accepted: 05/03/2012] [Indexed: 11/26/2022]
Abstract
PURPOSE The relationship between habitual consumption of foods with a high glycemic index (GI) and/or a diet with a high glycemic load (GL) and risk of endometrial cancer is uncertain, and relatively few studies have investigated these associations. The objectives of this study were to examine the association between GI/GL and risk of endometrial cancer using data from an Australian population-based case-control study and systematically review all the available evidence to quantify the magnitude of the association using meta-analysis. METHODS The case-control study included 1,290 women aged 18-79 years with newly diagnosed, histologically confirmed endometrial cancer and 1,436 population controls. Controls were selected to match the expected Australian state of residence and age distribution (in 5-year bands) of cases. For the systematic review, relevant studies were identified by searching PubMed and Embase databases through to July 2011. Random-effects models were used to calculate the summary risk estimates, overall and dose-response. RESULTS In our case-control study, we observed a modest positive association between high dietary GI (OR 1.43, 95 % CI 1.11-1.83) and risk of endometrial cancer, but no association with high dietary GL (OR 1.15, 95 % CI 0.90-1.48). For the meta-analysis, we collated information from six cohort and two case-control studies, involving a total of 5,569 cases. The pooled OR for the highest versus the lowest intake category of GI was 1.15 (0.95-1.40); however, there was significant heterogeneity (p 0.004) by study design (RR 1.00 [95 % CI 0.87-1.14] for cohort studies and 1.56 [95 % CI 1.21-2.02] for case-control studies). There was no association in the dose-response meta-analysis of GI (RR per 5 unit/day increment of GI 1.00, 95 % CI 0.97-1.03). GL was positively associated with endometrial cancer. The pooled RR for the highest versus the lowest GL intake was 1.21 (95 % CI 1.09-1.33) and 1.06 (95 % CI 1.01-1.11) per 50 unit/day increment of GL in the dose-response meta-analysis. CONCLUSION The pooled results from observational studies, including our case-control results, provide evidence of a modest positive association between high GL, but not GI, and endometrial cancer risk.
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Affiliation(s)
- Christina M Nagle
- Gynaecological Cancers, Population Health Research Department, Queensland Institute of Medical Research, Royal Brisbane Hospital, Herston, Brisbane, QLD, Australia.
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98
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Aune D, Chan DSM, Vieira AR, Navarro Rosenblatt DA, Vieira R, Greenwood DC, Cade JE, Burley VJ, Norat T. Dietary fructose, carbohydrates, glycemic indices and pancreatic cancer risk: a systematic review and meta-analysis of cohort studies. Ann Oncol 2012; 23:2536-2546. [PMID: 22539563 DOI: 10.1093/annonc/mds076] [Citation(s) in RCA: 60] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Dietary carbohydrates, glycemic load and glycemic index have been hypothesized to influence pancreatic cancer risk, but epidemiological studies have been inconsistent. We conducted a systematic review and meta-analysis of prospective studies to clarify these results. METHODS PubMed and several other databases were searched for prospective studies of intake of carbohydrates, glycemic index and glycemic load and pancreatic cancer up to September 2011. Summary relative risks were estimated using a random effects model. RESULTS Ten cohort studies (13 publications) were included in the meta-analysis. The summary relative risk (RR) per 10 glycemic index units was 1.02 [95% confidence interval (CI): 0.93-1.12, I(2) = 0%], per 50 glycemic load units was 1.03 (95% CI: 0.93-1.14, I(2) = 10%), per 100 g/day of total carbohydrates was 0.97 (95% CI: 0.81-1.16, I(2) = 35%), and per 25 g/day of sucrose intake was 1.05 (95% CI: 0.85-1.23, I(2) = 53%). A positive association was observed with fructose intake, summary RR = 1.22 (95% CI: 1.08-1.37, I(2) = 0%) per 25 g/day. CONCLUSIONS This meta-analysis does not support an association between diets high in glycemic index, glycemic load, total carbohydrates or sucrose and pancreatic cancer risk. The finding of an increased risk with fructose intake warrants further investigation in studies with better adjustment for confounding and in non-American populations.
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Affiliation(s)
- D Aune
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London.
| | - D S M Chan
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London
| | - A R Vieira
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London
| | - D A Navarro Rosenblatt
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London
| | - R Vieira
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London
| | - D C Greenwood
- Biostatistics Unit, Centre for Epidemiology and Biostatistics
| | - J E Cade
- School of Food Science and Nutrition, University of Leeds, Leeds, UK
| | - V J Burley
- School of Food Science and Nutrition, University of Leeds, Leeds, UK
| | - T Norat
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London
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99
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A dietary pattern that is associated with C-peptide and risk of colorectal cancer in women. Cancer Causes Control 2012; 23:959-65. [PMID: 22535146 DOI: 10.1007/s10552-012-9969-y] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2012] [Accepted: 04/11/2012] [Indexed: 01/29/2023]
Abstract
PURPOSE Higher serum C-peptide concentrations have shown to be associated with an increased risk of colorectal cancer (CRC). Therefore, we used diet information to identify food groups that correlated with fasting serum concentrations of C-peptide and assess the association of this dietary pattern and CRC risk. METHODS Major food contributors to fasting C-peptide concentrations were identified with stepwise linear regression in a subsample (n = 833) of women from a large cohort. We then summed the consumption frequency of the major food contributors to form a C-peptide dietary pattern for the entire cohort (n = 66,714). Risk for CRC was computed using Cox proportional hazard model with the C-peptide dietary pattern score as the predictor. RESULTS In up to 20 years of follow-up, we ascertained 985 cases of CRC and 758 colon cancer. After adjusting for confounders, the C-peptide dietary pattern, characterized by higher meat, fish, and sweetened beverage intake, but lower coffee, high fat dairy, and whole grains intake, showed direct association with CRC risk (RR comparing extreme quintiles = 1.29, 95 % CI = 1.05-1.58, p trend = 0.048). The same comparison was slightly stronger for colon cancer (RR = 1.35, 95 % CI = 1.07-1.70, p trend = 0.009). In stratified analysis, there was no association between the C-peptide dietary pattern and colon cancer among lean and active women. However, for overweight or sedentary women, RR for the same comparison was 1.58 (95 % CI = 1.20-2.07, p trend = 0.002) (p for interaction = 0.007). CONCLUSION We derived a dietary pattern that correlated with C-peptide concentrations. This pattern was associated with an increase in colon cancer, especially among women who were overweight or sedentary.
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100
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Wholegrain cereals and bread: a duet of the Mediterranean diet for the prevention of chronic diseases. Public Health Nutr 2012; 14:2316-22. [PMID: 22166190 DOI: 10.1017/s1368980011002576] [Citation(s) in RCA: 97] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
OBJECTIVE The promotion of healthy lifestyles is one of the major goals of governments and international agencies all over the world. Wholegrain cereals are rich in nutrients and many phytochemical compounds, with recognised benefits for health, including dietary fibre, a number of phenolic compounds, lignans, vitamins and minerals and other bioactive components. The aim of the present work is to review the fundamental studies that support the consumption of wholegrain cereals and bread to prevent chronic diseases. DESIGN Descriptive review considering human studies. SETTING AND SUBJECTS Subjects included in randomised intervention trials and cohort studies from different countries published up to 2010. RESULTS Several studies show consistently that subjects who ingest three or more portions of foods per day based on wholegrain cereals have a 20-30 % lower risk of CVD than subjects who ingest low quantities of cereals. This level of protection is not observed with the ingestion of refined cereals, these being even higher than with the intake of fruit and vegetables. Likewise, high intake of wholegrain cereals and their products, such as whole-wheat bread, is associated with a 20-30 % reduction in the risk of type 2 diabetes. Finally, protection against the risk of colorectal cancer and polyps, other cancers of the digestive tract, cancers related to hormones and pancreatic cancer has been associated with the regular consumption of wholegrain cereals and derived products. CONCLUSIONS The regular intake of wholegrain cereals can contribute to reduction of risk factors related to non-communicable chronic diseases.
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