Aspects of carbohydrate quality and their relevance for risk markers of type 2 diabetes and related health outcomes

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Aspects of carbohydrate quality and their relevance for risk markers of type 2 diabetes and related health outcomes

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INSTITUT FĩR ERNHRUNGS- UND LEBENSMITTELWISSENSCHAFTEN DONALD STUDIENZENTRUM am Forschungsinstitut fỹr Kinderernọhrung, Dortmund Aspects of carbohydrate quality and their relevance for risk markers of type diabetes and related health outcomes INAUGURAL DISSERTATION zur Erlangung des Grades Doktor der Ernọhrungs- und Haushaltswissenschaft (Dr oec troph.) der Landwirtschaftlichen Fakultọt der Rheinischen Friedrich-Wilhelms-Universitọt Bonn vorgelegt im Februar 2014 von Janina Goletzke aus Hamburg Referent: Prof Dr Thomas Remer Korreferentin: PD Dr Sarah Egert Korreferentin: Prof Dr Ute Nửthlings Wiss Betreuerin: PD Dr Anette Buyken Tag der mỹndlichen Prỹfung: 15.09.2014 Erscheinungsjahr: 2014 ACKNOWLEDGEMENTS ACKNOWLEDGEMENTS During my time as a PhD student, many people supported me for which I am deeply thankful I would like to mention some of them in particular: First of all, I am very thankful to Prof Dr Thomas Remer for his support and his willingness to always answer and discuss my questions His insights and views were always very instructive and particularly enriched this thesis regarding physiological aspects Furthermore, I would like to thank Dr Sarah Egert and Prof Dr Ute Nửthlings for their immediate agreement to co-supervise this thesis and their valuable comments on my manuscript This thesis would not exist without Dr Anette Buyken, and I am deeply grateful to her Dear Anette, you not only got me enthusiastic about the GI, but also about epidemiology Thank you for providing me with all your knowledge, your helpful advice, and for always encouraging me, particularly during setbacks Also, it is due to you, your relentless support and your relations, that I had the chance to work with the Australian data and that I am now spending a research fellowship at the University of Sydney Special thanks go to Dr Christian Herder, Head Inflammation Workgroup at the German Diabetes Center, for his support in preparing three of the publications included in this thesis as well as overseeing the measurements of inflammatory markers in the laboratory of his group Furthermore, I would like to thank both Prof Dr Michael Roden, Director of the Institute for Clinical Diabetology, German Diabetes Center in Dỹsseldorf, and Prof Dr Stefan Wudy, Head Pediatric Endocrinology & Diabetology Center of Child and Adolescent Medicine, Giessen, for additional measurements of risk markers of type diabetes in their laboratories As a part of my thesis I was given the opportunity to analyze data from the Blue Mountains Eye Study, conducted at the Centre for Vision Research, Westmead Millennium Institute, University of Sydney, Australia I am very thankful to Prof Dr Paul Mitchell for giving me this opportunity Furthermore, I am particularly grateful to Prof Dr Jennie Brand-Miller, School of Molecular Bioscience and Boden Institute of Obesity, Nutrition, Exercise and Eating Disorders, University of Sydney, for supporting me and more importantly, giving me the invaluable chance to work within her research group in Sydney Also, I like to thank all other co-authors, who helped to improve this thesis by providing their constructive criticism and suggestions Especially, I would like to thank Gesa for her comments and help on this thesis regarding both the content and format Working together with you was a great pleasure from the beginning on and I miss stopping by your office, discussing problems, assigning numerous GI and FII values together or jumping for joy if a paper got accepted All the other PhD-students and colleagues at the Research Institute of Child Nutrition also made my time as a PhD student enjoyable Particularly, I would like to thank my roommate Katharina for her ideas and advice, and for sharing our nice little working day habits Also, the corner office with all its changing inhabitants has always been a wonderful second home for me In addition, my thanks go to the DONALD participants and their families as well as the BMES participants, without whom this unique data would not exist Last but not least I would like to express my heartfelt thanks to my parents, my sister and Moritz for their unconditional support, for reminding me that work is not always the most important thing in life and for giving me the precious feeling of always being there for me Moritz, also thank you so much for proof-reading my thesis, helping me with the figures, and always restocking my chocolate supply particularly in the last few weeks III PUBLICATIONS PUBLICATIONS This thesis aimed to examine aspects of carbohydrate quality and their relevance for risk markers of type diabetes mellitus and related health outcomes It resulted in the following: Scientific papers Joslowski G, Goletzke J, Cheng G, Gỹnther ALB, Bao J, Brand-Miller JC, Buyken AE Prospective associations of dietary insulin index, glycemic index, and glycemic load during puberty with body composition in young adulthood International Journal of Obesity (London) (2012) 36, 1463-1471 doi: 10.1038/ijo.2011.241 Goletzke J, Herder C, Joslowski G, Bolzenius K, Remer T, Wudy SA, Rathmann W, Roden M, Buyken AE A habitually higher dietary glycemic index during puberty is prospectively related to increased risk markers of type diabetes in young adulthood Diabetes Care (2013) Jul; 36(7):1870-6 doi: 10.2337/dc12-2063 Goletzke J, Buyken AE, Gopinath B, Rochtchina E, Barclay AW, Cheng G, BrandMiller JC, Mitchell P Carbohydrate quality is not associated with markers of hepatic fat accumulation over years in an older population British Journal of Nutrition (2013) Jan 23:1-8 doi:10.1017/S0007114512005867 Buyken AE, Goletzke J, Joslowski G, Felbick A, Cheng G, Herder C, Brand-Miller J The role of carbohydrate quality in chronic low-grade inflammation a systematic review on observational and intervention studies American Journal of Clinical Nutrition (in press) Goletzke J, Buyken AE, Joslowski G, Bolzenius K, Remer T, Carstensen M, Egert S, Nửthlings U, Rathmann W, Roden M, Herder C Prospective association between carbohydrate nutrition during puberty and markers of chronic low-grade inflammation in younger adulthood (under revision) Oral presentations Joslowski G, Goletzke J, Cheng G, Bao J, Brand-Miller JC, Buyken AE Prospective associations between dietary insulin index during puberty and body composition in young adulthood o International Journal of Obesity Supplements (2011) 1: S16 o Proceedings of the German Nutrition Society (2011) 15: 10 Buyken AE, Joslowski G, Goletzke J, Cheng G, Bao J, Brand-Miller JC Prospective associations between dietary insulin index, glycemic index and glycemic load during IV PUBLICATIONS puberty and body composition in young adulthood German Epidemiologic Society Meeting Abstract (2011) 6:64 Goletzke J, Buyken AE, Joslowski G, Bolzenius K, Remer T, Carstensen M, Egert S, Nửthlings U, Rathmann W, Roden M, Herder C Prospective association between carbohydrate nutrition during puberty and markers of chronic low-grade inflammation in younger adulthood German Epidemiologic Society Meeting Abstract (2013) 78 Posters Buyken AE, Joslowski G, Goletzke J, Cheng G, Bao J, Brand-Miller JC Prospective associations between dietary insulin index, glycemic index and glycemic load during puberty and body composition in young adulthood Diabetologia 2011; 54 (Suppl.1): S542 Goletzke J, Herder C, Joslowski G, Bolzenius K, Remer T, Wudy SA, Rathmann SA, Roden M, Buyken AE A habitually higher dietary glycemic index during puberty is prospectively related to increased risk markers of type diabetes in young adulthood o Diabetologia 2012; 55 (Suppl.1): S137 o Proceedings of the German Nutrition Society (2013) 18: 68 Buyken AE, Goletzke J, Joslowski G, Felbick A, Cheng G, Herder C, Brand-Miller J The role of carbohydrate quality in chronic low-grade inflammation a systematic review on observational and intervention studies Proceedings of the German Nutrition Society (2013) 18: 107 Goletzke J, Buyken AE, Joslowski G, Felbick A, Cheng G, Herder C, Brand-Miller J The role of carbohydrate quality in chronic low-grade inflammation a systematic review on observational and intervention studies Obesity Facts 2013; (Suppl.1): S222 Articles in national journals Goletzke J, Buyken AE Mit Ballaststoffen vorbeugen UGB-Forum (4/12) Goletzke J, Buyken AE, Kohlenhydatqualitọt in der Pubertọt und Risiko fỹr Diabetes mellitus Typ im jungen Erwachesnenalter DONALD News o Pọdiatrische Praxis 5/2013 o Ernọhrungsumschau 4/2013 V SUMMARY SUMMARY Aspects of carbohydrate quality and their relevance for risk markers of type diabetes mellitus and related health outcomes Concern has been raised that the commonly advocated low-fat, high-carbohydrate diet might be actually detrimental for the growing number of people with impaired IR since it favors postprandial rises in glucose and insulin, which are associated with an increased risk of type diabetes mellitus (T2D) Successful prevention strategies to fight the increasing prevalence rates of obesity, T2D and related chronic diseases are urgently needed Since insulinresistant individuals are particularly prone to glycemic excursions, this might also extend to puberty, a period characterized by physiological IR A further age group, which to date has not been addressed, are elderly people, who represent a growing proportion of our population and for whom specialized prevention strategies might be necessary Therefore, the overall aim of the present thesis was to investigate the relevance of different aspects of carbohydrate quality for selected risk markers of T2D In this regard, prospective associations between puberty and young adulthood as well as 5-year longitudinal relations in older age were examined Major data source was the DOrtmund Nutritional and Anthropometric Longitudinally Designed (DONALD) Study, which includes data on dietary intake, anthropometry, and health from birth until adulthood Moreover, data from the Blue Mountains Eye Study (BMES) was used, where information on nutritional status and markers of liver function was repeatedly collected from an older Australian cohort Additionally, a systematic literature search was conducted on the association between carbohydrate quality and chronic lowgrade inflammation in adults Four analyses (Study I, II, III, and V) and one systematic review (Study IV) were performed Study I, including 262 participants of the DONALD Study, showed that a higher habitual dietary insulin index, but not a higher glycemic index (GI), during puberty was related to a higher percentage body fat in young adulthood Study II revealed that a habitually higher dietary GI during puberty was the only aspect of carbohydrate nutrition which was consistently related to the analyzed T2D risk markers i.e homeostasis model assessment IR (HOMA-IR), alanine-aminotransferase (ALT), and gamma-glutamyltransferase (GGT) in a subsample of the DONALD Study (n=226 and n=214, respectively) In Study III, again based on data from the DONALD Study (n=205), a higher habitual pubertal intake of carbohydrates from higher GI food sources and a lower intake of whole grains was associated with higher levels of the pro-inflammatory cytokine interleukin-6 in younger adulthood In this regard, VI SUMMARY Study IV showed that the observational evidence in adults is less consistent for a beneficial role of a lower GI or GL compared to dietary fiber/whole grain However, there is less consistent evidence from intervention studies for anti-inflammatory benefits of higher fiber or whole grain diets than there is for low-GI/GL diets (60 studies were included in the systematic review) Benefits of higher fiber and whole grain intakes suggested by observational studies may hence reflect confounding Finally, in Study V, including 866 older people from the BMES, no longitudinal relation was observed between the different aspects of carbohydrate quality and liver enzymes and serum lipids In conclusion, our results suggest a particular relevance of postprandial glycemic and also insulinemic excursions during puberty for risk markers of T2D during adulthood Overall, efforts to improve carbohydrate quality should not focus solely on a high whole grain intake, but needs to be complemented by an advice for a preferred selection of low-GI foods VII ZUSAMMENFASSUNG ZUSAMMENFASSUNG Aspekte der Kohlenhydratqualitọt und ihre Relevanz in Bezug auf Risikomarker fỹr Typ Diabetes und assoziierte Erkrankungen Zunehmend werden Bedenken laut, dass die derzeitige Empfehlung, sich fettarm und kohlenhydratreich zu ernọhren, ungỹnstig fỹr die steigende Zahl an Menschen mit gestửrter Insulinresistenz ist, da sie zu postprandialen Blutglukose- und Insulinanstiegen fỹhrt, welche wiederum mit einem erhửhtem Risiko fỹr Typ Diabetes mellitus (T2D) verbunden sind Daher sind vor dem Hintergrund der steigenden Prọvalenz von ĩbergewicht, T2D und weiteren chronischen Erkrankungen erfolgreiche Prọventionskonzepte dringend notwendig Da insbesondere insulinresistente Personen sehr empfindlich auf Blutzuckeranstiege reagieren, kửnnte dies auch auf die Phase der Pubertọt zutreffen, die durch eine physiologische Insulinresistenz gekennzeichnet ist Eine weitere, bisher kaum berỹcksichtigte Altersgruppe sind ọltere Menschen, die einen immer grửòeren Anteil in unserer Gesellschaft ausmachen, und fỹr die mửglicherweise speziell zugeschnittene Prọventionskonzepte erforderlich sind Das ỹbergeordnete Ziel dieser Arbeit war, die Relevanz verschiedener Aspekte der Kohlenhydratzufuhr fỹr Risikomarker von T2D zu untersuchen Von Interesse waren hierbei prospektive Assoziationen zwischen der Pubertọt und dem Erwachsenenalter sowie 5Jahres-Verọnderungen bei ọlteren Personen Daten fỹr diese Untersuchungen lieferte die DOrtmund Nutritional and Anthropometric Longitudinally Designed (DONALD) Study, in der Informationen zur Ernọhrung, Anthropometrie und dem Gesundheitsstatus von der Geburt bis ins Erwachsenenalter erhoben werden Auòerdem wurden Daten aus der Blue Mountains Eye Study (BMES) herangezogen, in der wiederholt Informationen zur Ernọhrung und zu Markern der Leberfunktion in einer ọlteren australischen Kohorte erfasst wurden Zusọtzlich wurde eine systematische Literaturrecherche zum Zusammenhang zwischen der Kohlenhydratqualitọt und chronisch geringgradiger Entzỹndungsneigung im Erwachsenenalter durchgefỹhrt Vier Auswertungen (Studie I, II, III, V) und eine systematische Literaturrecherche wurden durchgefỹhrt (Studie IV) Studie I, in der 262 Probanden aus der DONALD Studie eingeschlossen wurden, zeigte, dass ein gewohnheitsmọòig hửherer Insulin Index, jedoch nicht ein hửherer glykọmischer Index (GI), in der Pubertọt mit einem hửheren Kửrperfettanteil im jungen Erwachsenenalter assoziiert war In Studie II war ein habituell hửherer GI in der Pubertọt der einzige Aspekt der Kohlenhydratqualitọt, der in einer Untergruppe der DONALD Studie (n=226 bzw n=214) konsistent mit den untersuchten T2D Risikomarkern VIII ZUSAMMENFASSUNG (Homeostasis model assessment IR (HOMA-IR), Alanin-Aminotransferase (ALT) und Gamma-Glutamyltransferase (GGT)) zusammenhing Studie III basierte ebenfalls auf Daten der DONALD Studie (n=205) und konnte zeigen, dass eine gewohnheitsmọòig hohe Zufuhr von Kohlenhydraten aus Lebensmitteln mit einem hửheren GI sowie eine niedrigere Aufnahme von Vollkorn wọhrend der Pubertọt mit hửheren Werten des proinflammatorischen Cytokins Interleukin assoziiert war In diesem Zusammenhang wurde aus Studie IV ersichtlich, dass die vorhandene Evidenz aus Beobachtungsstudien weniger eindeutig fỹr den gỹnstigen Einfluss eines niedrigen GI ist als fỹr die Ballaststoff- und Vollkornzufuhr Im Gegensatz dazu ist die Evidenz aus Interventionstudien weniger konsistent, dass eine ballaststoff- und vollkornreichen Kost verglichen mit einer Kost mit niedrigem GI/GL antiinflammatorische Effekte hat (60 Studien wurden im systhematischen Review eingeschlossen) Gỹnstige Effekte eines hohen Ballaststoff- und Vollkornverzehrs aus Beobachtungsstudien lassen Confounding vermuten Schlieòlich deutete Studie V, basierend auf Daten von 866 Probanden aus der BMES, darauf hin, dass kein longitudinaler Zusammenhang zwischen den verschiedenen Aspekten der Kohlenhydratqualitọt und den Leberenzymen oder Serumlipiden besteht Zusammenfassend lọsst sich festhalten, dass unsere Ergebnisse auf eine besondere Relevanz von postprandialen Blutglukose-, sowie Insulinanstiegen wọhrend der Pubertọt fỹr verschiedene Risikomarker von T2D im jungen Erwachsenenalter hinweisen Insgesamt sollten Bemỹhungen, die Kohlenhydratqualitọt zu steigern, sich nicht ausschlieòlich auf Vollkornprodukte fokussieren, sondern um den Hinweis fỹr eine bevorzugte Auswahl von Lebensmitteln mit einem niedrigen GI erweitert werden IX TABLE OF CONTENTS TABLE OF CONTENTS ACKNOWLEDGEMENTS III PUBLICATIONS IV SUMMARY VI ZUSAMMENFASSUNG VIII TABLE OF CONTENTS X LIST OF TABLES XII LIST OF FIGURES XIII ABBREVIATIONS XIV INTRODUCTION THEORETICAL BACKGROUND 2.1 Aspects of carbohydrate quality 2.1.1 Dietary fiber and whole grain 2.1.2 Added sugar 2.1.3 Dietary Glycemic Index and Glycemic Load 2.1.4 Dietary Insulin Index and Insulin Load 2.2 Risk markers of type diabetes mellitus and related health outcomes 2.2.1 Type diabetes mellitus 2.2.2 Obesity 16 2.2.3 Chronic low-grade Inflammation 18 2.2.4 Hepatic insulin resistance and nonalcoholic fatty liver disease 20 2.2.5 Relevance in different stages of life 21 2.3 Evidence linking carbohydrate quality to risk markers of type diabetes mellitus and related health outcomes 23 2.3.1 Carbohydrate quality and risk markers for type diabetes mellitus 24 2.3.2 Carbohydrate quality and obesity 35 2.3.3 Carbohydrate quality and chronic low-grade inflammation 43 2.3.4 Carbohydrate quality and hepatic steatosis 45 2.4 Conclusive Considerations 53 X AIMS AND RESEARCH QUESTIONS 54 Supplemental Table 4: Dietary fiber, fiber supplements and whole grain and hsCRP/IL-6 intervention studies (detailed version)1 First author, Year, Country Participants characteristics Study design Dietary Intervention 173 Jensen 2012, Denmark (57) 80 participants with obesity % female: 67.5% ỉ age 42.9y parallel, double blind, placebocontrolled, 12 weeks duration bread and cereals provided alginate-fiber (n=38): 15g fiber supplement placebo (n=42): 0g fiber weight-loss study (-0.5 kg/ week) mean hsCRP: ò-glucan: 1.31 (SD: 0.97) mg/l control: 1.97 (1.83) mg/l primary endpoint: LDLcholesterol median hsCRP: intervention: 2.8 (IQR: 1.1, 5.3) mg/l control: 1.9 (0.8, 5.2) mg/l primary outcome: metabolic syndrome components Results2 Relative difference (%) in hsCRP (week 7-8 minus week 2-3): ò-glucan: -19.1 control: -30.8, no between group-difference for change p>0.05 ò-glucan - CRP Median (IQR) hsCRP (mg/l) after intervention: intervention: 2.1 (0.8, 7.9), p for difference to baseline=0.3 control: 1.5 (0.7, 4.0), p for difference to baseline=0.9 Guar gum - CRP no data on between-group difference for change mean hsCRP: wheat bran: 4.61 (SEM: 1.93) mg/l, control: 4.37 (1.91) mg/l Mean (SEM) hsCRP (mg/l) after intervention: wheat bran: 3.79 (1.56) control: 4.80 (2.01) endpoints: lipid and nonlipid CVD risk factors no between-group difference for change in hsCRP -3.80 (-7.9%), p=0.4 mean hsCRP: alginate fiber: 2.7 (SEE: 0.4) mg/l control: 5.2 (1.0) mg/l +/-3 Analysis adjusts for sex, sequence and baseline values Mean (SEE) hsCRP difference (mg/l) after intervention: alginate fiber :-1.0 (0.5) control: -0.4 (0.5), Wheat bran - CRP Alginate fib - CRP APPENDIX Dietary fiber and fiber supplements intervention studies 43 participants with parallel, placeboò-glucan enriched (n=22): mean Biửrkmildly elevated controlled, fiber (g): 18.7 (SD: 5.7) lund weeks duration (3 control (n=21): mean fiber (g): serum cholesterol 2008, wks run-in) 17.4 (5.9) levels Sweden (54) % female: 55.8% weight maintenance ỉ age: 58y habitual diet plus study soup ỉ BMI: 25.0 44 participants with randomized intervention: mean fiber (g): 24.3 Dall` T2D and metabolic controlled trial, (SD: 5.4) Alba weeks duration (2 control: mean fiber (g): 15.7 (6.3) syndrome 2013, weeks run-in) Brazil % female: 61.4% weight maintenance, (55) usual diet plus supplements in the ỉ age: 62y intervention group (5g partially ỉ BMI: 29.8 hydrolysed guar gum twice a day), white bread and soy bean oil supplied to avoid differences in carbohydrate and fat contents 23 participants with randomized wheat bran: mean fiber (g): 37.1 Jenkins 2002, T2D crossover, (SEM: 2.0), 21.3 g/1000kcal (0.8) months (2 months control: mean fiber 21.0 (1.5), Canada % female: 30% wash-out) 11.7 g/1000kcal (0.7) (56) ỉ age: 63y ỉ BMI: 26.7 weight maintenance habitual diet, conformed to the National Cholesterol Education Program, Outcome: baseline levels and primary endpoint Participants characteristics Study design Dietary Intervention ỉ BMI: 34.2 free choice of food items plus supplements JohanssonPersson 2013, Sweden (58) 25 participants with mild hypercholesterolem ia randomized, singleblinded, crossover trial, weeks duration (3 weeks washout) % female: 52% ỉ age: 58.6y ỉ BMI: 26.6 high-fiber diet period: mean fiber (g): 48.0 (SD: 6.8) low-fiber diet period: mean fiber: 30.2 (8.0) weight maintenance, usual diet plus study foods: one bread roll, one ready meal, two beverages, all with or without added fiber (rye bran, oat bran, sugar beet fiber) for CRP analyses: subjects with levels >10mg/l excluded Outcome: baseline levels and primary endpoint primary endpoint: weight change mean CRP: high-fiber (n=24): 1.9 (SEM: 0.3) mg/l low-fiber (n=22): 1.5 (0.2) mg/l median IL-6: high-fiber (n=19): 0.73 (IQR: 1.6) pg/ml low-fiber (n=17): 1.17 (1.1) pg/ml primary endpoint: LDLcholesterol King 2007, USA (59) 35 participants: 18 healthy and 17 with obesity and hypertension randomized, crossover, weeks duration (3 wks run-in) %female: 80% ỉ age: 38.3y ỉ BMI: 28.4 King 2008, USA (60) 158 participants with overweight or obesity % female: 72.8% ỉ age: 50.5y ỉ BMI: 33.4 high-fiber DASH-diet: mean fiber intake: 27.7g/d (SD: 0.06) psyllium fiber supplemented diet (supplemented to reach 30g/d): mean fiber intake: 26.3 (0.4) mean hsCRP: 4.4 (SD: 1.0) mg/l primary endpoint: hsCRP dietary instructions high fiber (n=48): mean fiber: 14.5 g/d (SD: 3.9) low fiber (n=53): 13.5 (3.4) control (n=57): 14.1 (4.4) no between-group difference for change in hsCRP (p= 0.3) Analysis adjusts for baseline values of lean body mass, body weight, and sex mean (SEM) CRP (mg/l) after intervention: high-fiber period (n=24): 1.5 (0.1) low-fiber period (n=22): 1.8 (0.3)l Dietary fib + CRP - IL6 treatment difference (n=21): -0.71 (0.4), p-trend=0.017 median (IQR) IL-6 (pg/ml) after intervention: high-fiber period (n=19): 0.60 (1.4) low-fiber period (n=17): 0.99 (1.3), treatment difference (n=13): -0.14 (0.8), p-trend=0.2 Difference (%) in hsCRP after each diet period: DASH-diet:- 13.7 supplemented diet: -18.1 Mean hsCRP: high-fiber: 7.61 (SD: 5.8) mg/l low-fiber: 7.62 (6.7) mg/l control: 7.79 (7.5) mg/l Mean (SD) changes in hsCRP (mg/l) (ITT): high-fiber: 0.98 (4.57) low-fiber: -0.96 (4.45) control: 0.05 (7.87); primary endpoint: hsCRP power calculations for no difference in change between treatment groups and control group weight maintenance 14, 7, or g/d psyllium fiber +/-3 Psyllium fib (+ CRP ) trend for difference between diet periods (0.051 (95% CI -0.0080.111) p=0.09; supplementation minus DASH diet) weight maintenance RCT, months duration Results2 Psyllium fib - CRP APPENDIX 174 First author, Year, Country First author, Year, Country Kohl 2009, Germany (61) Participants characteristics women needed to have CRP concentrations >3mg/l, and men >2mg/l 12 participants with overweight or obesity and moderately increased levels of CRP (0.05) intervention: 0.5g of ò-D-glucan, mean fiber 18.0 g/d control: nonfermentable waxy maize starch (placebo), mean fiber 18.8 mean CRP: 5.7 (SEM: 0.6) mg/l Mean (SEM) CRP (mg/l) after weeks: Intervention period: 5.3 (0.8) Control period: 6.1 (1.2) primary endpoint: CRP power calculations for CRP +/-3 ò-glucan - CRP No treatment effect (p=0.4) weight maintenance % female: 67% ỉ age 49.7y ỉ BMI: 32.2 Queenan 2007, USA (62) 75 participants at risk for CVD (hypercholesterole mic) no data for mean IL-6 usual diet plus supplements randomized, double-blind parallel, weeks duration % female: 67% ỉ age: 44.9y BMI 0.05) Fib supp - CRP, IL6 Mean (SD) IL-6 (pg/ml) week 12: intervention: 1.39 (0.50) control: 1.88 (1.07) no between-group difference for change in (p>0.05) changes in hsCRP were not correlated with change in body weight or fat mass mean hsCRP: whole grain period: 2.03 (SD:1.62) mg/l refined grain period: 2.86 (2.96) mg/l mean hsCRP (mg/l) after intervention: whole grain period: 2.38 (2.29) refined grain period:2.34 (1.57) no treatment effect.(p=0.6) mean IL-6: whole grain period: 14.8 (SD: 32.2) ng/l refined grain period: 15.9 (32.4) ng/l mean IL-6 (ng/l) after intervention: whole grain period:15.2 (33.2) refined grain period:15.8 (30.9); no treatment effect.(p=0.8) primary endpoint: insulin sensitivity median CRP: intervention 1: 2.4 (SD: 9.9) mg/l intervention 2: 3.2 (4.6) mg/l +/-3 WG - CRP, IL6 Analysis adjusts for sequence and BMI Median (SD) CRP (mg/l) at week 8: intervention 1: 2.6 (2.5) intervention 2: 3.5 (7.2) control: 2.7 (2.8) WG - CRP APPENDIX 176 First author, Year, Country First author, Year, Country Participants characteristics Study design median age: 45.7y median BMI: 30.1 last weeks (mean: 83 (31.1) g/d week 8, 115 (69.6) g/d week 16) control group (n=100): maintenance of current diet (mean 19 (19.9) g whole grain/d) inclusion criteria: habitual consumption 30g whole grain/d de Mello 2011, Finland (73) 103 participants with impaired glucose metabolism and features of the metabolic syndrome Dietary Intervention parallel design, RCT; 12 weeks substitution of whole grain with refined grain foods to a prescribed amount, foods provided on demand healthy diet (n=35): baseline: 29.3 g fiber/d (SD: 8.3), week 12: 36.5 (6.0) whole grain (n=34): baseline: 24.6 (7.0) g fiber/d, week12: 26.5 (5.4) control (n=34): baseline: 22.2 (6.9), week 12: 17.6 (4) weight maintenance, advice for replacement of usual cereal with at least 50% from whole grain source % female: 20% ỉ age: 54.4y primary endpoint: LDLcholesterol randomized sequential crossover, weeks duration (2 wks run-in) Wholemeal wheat: mean 32g (SD: 4) fiber, 23.1g (2.3) cereal fiber refined wheat: 20g (4) fiber, 9.8g (1.7) cereal fiber weight maintenance, Results2 +/-3 Median CRP (mg/l) at week 16: intervention 1: 3.1 (4.3) intervention 2: 3.2 (5.9) control: 2.9 (3.5) No difference in change between intervention groups (average from two intervention groups) and control group -1.20 (-12.3-11.3), p>0.05 median hsCRP: healthy: 1.4 (IQR: 0.7, 3.1) mg/l whole grain: 1.5 (0.7, 3.9) mg/l control: 1.4 (0.8, 2.3) mg/l median IL-6: healthy: 1.6 (IQR: 1.0, 2.6) ng/l whole grain: 1.4 (1.0, 2.3) ng/l control: 1.3 (0.8, 2.0) ng/l primary endpoint: inflammatory markers (including hsCRP and IL6) No data on baseline levels endpoints: metabolic markers (including hsCRP) median change (IQR) (%) of hsCRP after intervention: healthy diet: -10 (-37, 41) whole grain: -20 (-40, 11) control: -8 (-35, 49) no between-group difference for change in (p=0.2) WG: (+ CRP ) subgroup median change (IQR) (%) of IL-6 (ng/l) after intervention : healthy diet: -7 (-25, 13) whole grain: (-15, 31) control: (-11, 35) no between-group difference for change in (p=0.7) Significant improvements in hsCRP on whole grain diet in comparison to control among patients not using statins (p[...]... according to their postprandial insulin response, whereas the dietary insulin load gives an insight of the quantity of the insulin demand of the diet 2. 2 Risk markers of type 2 diabetes mellitus and related health outcomes T2D represents a growing public health problem with both incidence and prevalence rates as well as related comorbidities increasing rapidly – also in younger age groups [2, 51] Knowledge... types of diabetes: T1D, T2D, and gestational diabetes mellitus (GDM) Other specific types of diabetes mellitus also exist, such as maturity-onset diabetes of the young However, their proportion is very small The focus of this thesis is on T2D, formerly also known as non-insulin dependent diabetes or adult-onset diabetes, which accounts for 90-95% of all diabetes cases While an absolute deficiency of. .. hyperglycemia or hyperlipidemia [15] The particular role of fatty acids and inflammatory markers in IR will be described in chapters 2. 2 .2 and 2. 2.3, respectively 15 THEORETICAL BACKGROUND 2. 2 .2 Obesity Obesity is considered a major risk factor for IR and T2D – according to WHO estimates, 44% of the diabetes burden is attributable to overweight and obesity [83] Epidemiological evidence suggests a strong... years and the observed prevalence ranged from 0% to 5.3% among included studies [51] A recent publication based on data from the National Health and Nutrition Examination Survey (NHANES) (1999 to 20 10) showed a prevalence of 0.48% for T1D and of 0.36% for T2D among 12 to 19 year old US adolescents Undiagnosed T2D accounted for 34% of the T2D cases [68] With a total diabetes prevalence of 0.84% (T1D and. .. standard deviation score SE Standard error SEM Standard error of the mean T1D, T2D Type 1 diabetes mellitus, Type 2 diabetes mellitus TG Triglyceride TNF-α Tumor necrosis factor α US United States WHO World Health Organization XV INTRODUCTION 1 INTRODUCTION Obesity and type 2 diabetes mellitus (T2D) can be considered today‘s main public health burdens worldwide – and their prevalence rates are expected... nutrition and type 2 diabetes mellitus risk markers 71 6.1.3 Research Aim 3: To examine carbohydrate nutrition and chronic low-grade inflammation 73 6.1.4 Research Aim 4: To examine carbohydrate nutrition and liver function 75 6 .2 Methodology and study population 76 6 .2. 1 Assessment of dietary predictors 76 6 .2. 2 Outcome measurements 79 6 .2. 3 Study... importance of investigating the role of carbohydrate nutrition during this phase Finally, progress in health care systems implies that people are getting older [2] Hence, preventive strategies tailored to the special needs and adapted to metabolic alterations related to aging are becoming indispensable Taken together, prospective data on the relevance of carbohydrate quality on the risk of T2D and related health. .. one-quarter of the global diabetes health care costs are spent in this continent [64] For Germany, data from the "German Health Interview and Examination Survey for Adults" (DEGS1) conducted between 20 08 and 20 11 indicated a prevalence of 7 .2% among adults aged between 18 and 79 years with an additional 2. 1% of undiagnosed cases [65] Compared to data from the German National Health Interview and Examination... related health outcomes can be regarded insufficient – particularly in pediatric and elderly populations Moreover, attention should also be paid to the potential importance of nutrition during critical periods such as puberty Hence, one main aim of this thesis was to investigate the relevance of carbohydrate quality during puberty for different risk markers related to T2D and related health outcomes in... observational studies and additionally comprises a systematic review In the Background section (Chapter 2) , the different aspects of carbohydrate quality will be defined and the epidemiology of T2D will be summarized along with its related disease outcomes, namely obesity, low-grade inflammation and hepatic steatosis Moreover, available evidence linking carbohydrate quality and these health outcomes will be ... 20 2. 2.5 Relevance in different stages of life 21 2. 3 Evidence linking carbohydrate quality to risk markers of type diabetes mellitus and related health outcomes 23 2. 3.1... Pädiatrische Praxis 5 /20 13 o Ernährungsumschau 4 /20 13 V SUMMARY SUMMARY Aspects of carbohydrate quality and their relevance for risk markers of type diabetes mellitus and related health outcomes Concern... 2. 3.1 Carbohydrate quality and risk markers for type diabetes mellitus 24 2. 3 .2 Carbohydrate quality and obesity 35 2. 3.3 Carbohydrate quality and chronic low-grade inflammation 43 2. 3.4

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Mục lục

  • Gesa_Paper

    • 00_Appendix1_DINA4

    • Revision_Online_Supplemental_Material_20012014 - Copy

      • Detailed search strategy systematic review

        • Supplemental table 1: Dietary GI/GL and hsCRP/IL-6– epidemiological studies (detailed version)1

        • Dietary fiber intake – epidemiological studies

        • Adjusted regression coefficients (SE) log-CRP (mg/l) by quintiles of fiber intake:

        • Adjusted OR of hsCRP≥3 mg/l by tertiles of fiber intake:

        • Adjusted geometric mean levels of IL-6 (95% CI) (pg/ml) according to tertiles of total fiber intake:

        • Adjusted OR (95% CI) for hsCRP ≥ 0.3 mg/dl by fiber strata:

        • <25 g/d fiber: REF

        • 3-months change in hsCRP (mg/l) by quintiles of change in dietary fiber intake:

        • change Q5 versus Q1:

        • Correlation of changes in CRP and fiber intake changes:

        • Correlation of changes in IL-6 and fiber intake changes:

        • Adjusted association of dietary fiber (g/d) with hsCRP ratio4

        • Adjusted OR (95% CI) of elevated hsCRP (>3,0 mg/l) by fiber quartiles:

        • Median (95%CI) hsCRP (mg/l) for fiber quartiles:

        • Median (SE) hsCRP (mg/l) level by quartiles of dietary fiber:

        • Multiple regression of fiber with log CRP (mg/l):

        • Geometric mean (95% CI) hsCRP (mg/l):

        • OR (95%CI) for elevated hsCRP concentrations (>1mg/l) by low or high dietary fiber (median split):

        • OR (95% CI) for increase in hsCRP levels by one category ( <1.00; 1.00-3.00; >3.00 to <10) associated with each 10 g increase in dietary fiber

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