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Excess free fructose, high-fructose corn syrup and adult asthma: the Framingham Offspring Cohort

Published online by Cambridge University Press:  28 March 2018

Luanne R. DeChristopher*
Affiliation:
Independent Researcher, Eugene, OR 97405, USA
Katherine L. Tucker
Affiliation:
Department of Biomedical and Nutritional Sciences, University of Massachusetts Lowell, Lowell, MA 01854, USA
*
*Corresponding author: L. R. DeChristopher, email luanne.dechristopher@gmail.com
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Abstract

There is growing evidence that intakes of high-fructose corn syrup (HFCS), HFCS-sweetened soda, fruit drinks and apple juice – a high-fructose 100 % juice – are associated with asthma, possibly because of the high fructose:glucose ratios and underlying fructose malabsorption, which may contribute to enteral formation of pro-inflammatory advanced glycation end products, which bind receptors that are mediators of asthma. Cox proportional hazards models were used to assess associations between intakes of these beverages and asthma risk, with data from the Framingham Offspring Cohort. Diet soda and orange juice – a 100 % juice with a 1:1 fructose:glucose ratio – were included for comparison. Increasing intake of any combination of HFCS-sweetened soda, fruit drinks and apple juice was significantly associated with progressively higher asthma risk, plateauing at 5–7 times/week v. never/seldom, independent of potential confounders (hazard ratio 1·91, P<0·001). About once a day consumers of HFCS-sweetened soda had a 49 % higher risk (P<0·011), moderate apple juice consumers (2–4 times/week) had a 61 % higher risk (P<0·007) and moderate fruit drink consumers had a 58 % higher risk (P<0·009), as compared with never/seldom consumers. There were no associations with diet soda/orange juice. These associations are possibly because of the high fructose:glucose ratios, and fructose malabsorption. Recommendations to reduce consumption may be inadequate to address asthma risk, as associations are evident even with moderate intake of these beverages, including apple juice – a 100 % juice. The juice reductions in the US Special Supplemental Nutrition Program for Women, Infants, and Children in 2009, and the plateauing/decreasing asthma prevalence (2010–2013), particularly among non-Hispanic black children, may be related. Further research regarding the consequences of fructose malabsorption is needed.

Type
Full Papers
Copyright
Copyright © The Authors 2018 

There is growing evidence that intakes of high-fructose corn syrup (HFCS)( Reference DeChristopher 1 ), HFCS-sweetened soft drinks( Reference Park, Blanck and Sherry 2 Reference Wright, Rifas-Shiman and Oken 5 ) and fruit drinks( Reference Park, Akinbami and McGuire 3 , Reference DeChristopher, Uribarri and Tucker 4 ) are associated with asthma. Results of a rigorous food elimination diet with HFCS( Reference DeChristopher 1 ) – a scientifically recognised method to assess food sensitivity recommended by a panel of experts, established by the National Institute of Allergy and Infectious Diseases, often referred to as ‘the Guidelines’( 6 ) – provided evidence that intake of HFCS-sweetened foods and beverages is associated with airway mucus hypersecretion, asthma, chronic bronchitis and idiopathic joint pain( Reference DeChristopher 1 ). Recent epidemiological studies, by the US Centers for Disease Control (CDC), provided evidence that US high-schoolers (n 15 960)( Reference Park, Blanck and Sherry 2 ) who regularly consumed HFCS-sweetened soda were 64 % more likely to have asthma than never consumers, independent of smoking and BMI. Researchers suggested that the link may be because of the preservatives, on the basis of their review of prior research( Reference Park, Blanck and Sherry 2 ). However, a review of these prior studies showed no strong scientific evidence that preservatives in soda are associated with chronic respiratory conditions( Reference DeChristopher, Uribarri and Tucker 7 ). Importantly, the preservatives in HFCS-sweetened soda are also in diet soda, and diet soda has not been found to be associated with asthma( Reference DeChristopher, Uribarri and Tucker 7 ). Other epidemiological research studies are consistent with the possibility that the associations may be with the HFCS in US soft drinks. For example, in New Zealand, soda is sweetened with sucrose( 8 ), and in a 2005 study (the International Study of Asthma and Allergies in Childhood) researchers found no association between ‘fizzy’ drinks and asthma( Reference Wickens, Barry and Friezema 9 ). In an Australian study (where soda is sweetened with sucrose), intake (>0·5 litre/d) of soft drinks was associated with asthma, among current smokers. There were no associations among non/ex-smokers, suggesting that the link was due to smoking rather than the soda (smokers may have been more likely to drink soda than non/ex-smokers)( Reference Shi, Dal Grande and Taylor 10 ).

A case study with HFCS food elimination results led to the development of a biochemical hypothesis that may explain the asthma association. According to the ‘fructositis’ hypothesis, underlying fructose malabsorption results in the intestinal formation of pro-inflammatory advanced glycation end products (enFruAGE) between unabsorbed fructose and partially digested dietary proteins that, once absorbed, promote asthma( Reference DeChristopher 1 ). The intestinal environment after a meal may be highly conducive to enFruAGE formation( Reference DeChristopher, Uribarri and Tucker 7 ), as the phosphates from phosphoric acid( Reference Watkins, Neglia-Fisher and Dyer 11 Reference Rizzi 13 ) in soda( 14 , 15 ) and the bicarbonate( Reference Zhang, Ames and Smith 12 , Reference Rizzi 13 ) in pancreatic juice are catalysts of the Maillard reaction, which produces pro-inflammatory advanced glycation end products (AGE)( Reference Watkins, Neglia-Fisher and Dyer 11 Reference Rizzi 13 ). Researchers recently tested this hypothesis. They found that fructose, as remains in the digestive tract of fructose malabsorbers, forms AGE – under conditions compatible with the intestines – within a time frame well within the window of digestion, but not with glucose( Reference Bains and Gugliucci 16 , Reference Bains, Gugliucci and Caccavello 17 ). Notably, fructose malabsorption occurs after consumption of foods and beverages with high fructose:glucose ratios,( Reference Riby, Fujisawa and Kretchmer 18 Reference Ebert and Witt 21 ) including HFCS( 22 24 ), agave syrup( Reference Mellado-Mojica and López 25 , Reference Willems and Low 26 ), crystalline fructose and apple juice( 27 ), but not after consumption of sucrose or equivalent monomers of fructose and glucose( Reference Riby, Fujisawa and Kretchmer 18 Reference Ebert and Witt 21 ). Importantly, researchers from the University of California found that fructose to glucose ratios (1·9:1( Reference Ventura, Davis and Goran 28 ) and 1·5:1( Reference Walker, Dumke and Goran 29 )) in popular US sodas exceeded levels that are generally recognised as safe (1·2:1)( 22 24 ), which provided evidence that there has been more excess free fructose (EFF) in the US food supply than previously thought. Notably, HFCS has been ubiquitous in the US food supply since the 1990s( Reference Morrison and Buzby 30 Reference Bray, Nielsen and Popkin 34 ). Further evidence of a possible role for an enteral FruAGE/receptors of advanced glycation end products (RAGE) pathway in asthma arose when researchers discovered that RAGE, which are highly concentrated in the lungs( Reference Buckley and Ehrhardt 35 ), are mediators of asthma( Reference Milutinovic, Alcorn and Englert 36 ).

We recently epidemiologically tested whether intake of high fructose:glucose ratios was associated with asthma using US nationally representative health survey data (National Health and Nutrition Examination Survey (NHANES))( Reference DeChristopher, Uribarri and Tucker 4 ). If a high fructose:glucose ratio (EFF) and fructose malabsorption underlie the HFCS/soda/asthma link, then, in addition to HFCS-sweetened soda and fruit drinks, apple juice – owing to its≥2:1 fructose to glucose ratio( 27 ) – would also be associated with asthma. Our results support this hypothesis. Children (n 1961) who moderately (2–4 times/week) consumed apple juice – a 100 % juice – were more than two and a half times as likely to have asthma, and children who regularly consumed any combination of HFCS-sweetened soda, fruit drinks and apple juice were five times more likely to have asthma, as compared with seldom/never consumers, independent of sex, BMI and total energy intake. There was no association with orange juice( Reference DeChristopher, Uribarri and Tucker 4 ) – a 100 % juice with a 1:1 fructose:glucose ratio( 27 ). There were no associations with atopic dermatitis( Reference DeChristopher, Uribarri and Tucker 4 ). We also found that adults (n 2801) who regularly consumed HFCS-sweetened soda were nearly twice as likely to have chronic bronchitis, independent of smoking, and exposure to in-home smoke, but not with diet drinks( Reference DeChristopher, Uribarri and Tucker 37 ).

Results from two longitudinal cohorts provided further evidence that asthma may be associated with high fructose juice (e.g. apple juice) intake( Reference Wright, Rifas-Shiman and Oken 5 , Reference Berentzen, van Stokkom and Gehring 38 , Reference DeChristopher 39 ). In a US study (n 1111), asthma risk was 34 % higher among children who regularly consumed 100 % juice (exclusive of orange juice), as compared with seldom/never consumers. There was no association with orange juice(5). In a Danish study, children (n 2406) who frequently consumed 100 % juice (type not distinguished) were twice as likely to have asthma than never/seldom consumers( Reference Berentzen, van Stokkom and Gehring 38 , Reference DeChristopher 39 ).

Methods

Study objectives

Epidemiological studies with longitudinal data are lacking. Therefore, we tested the hypothesis that consumption of HFCS-sweetened soda, fruit drinks and apple juice, but not orange juice or diet soda, increases asthma risk, independently of potential confounders. Fruit drinks were included, as many varieties contain apple juice and are sweetened with HFCS. Survival analysis was conducted with longitudinal data from the Framingham Heart Study-Offspring cohort (FHS-OS)( 40 ). The FHS-OS was ideally suited to this investigation, as participants were enrolled starting in 1971 – before widespread use of HFCS( 23 , 24 , 40 , Reference Warner 41 ) – and were followed up for >30 years( 40 ). US soft drink producers switched from the use of sucrose to HFCS in non-diet soda around 1984( Reference Bray 33 , Reference Bray, Nielsen and Popkin 34 , Reference Warner 41 , Reference Bovard 42 ).

Participants

The FHS-OS is a prospective study with offspring (5013) of the Original Cohort (Framingham, Massachusetts). Participants were adult, predominantly non-Hispanic White men and women, with a mean age of 47·9 (sd 9·7); 39 % were overweight and 17 % were obese at baseline. Participants were medically examined and responded to health questions approximately every 4 years, with the exception of an 8-year gap between examinations 1 and 2. Food and beverage intake frequency was obtained via the Willett Food Frequency Questionnaire (FFQ), beginning with examination 3 (1984)( 40 ). This study focused on data from examinations 3–7 (1984–2001) – a period with approximately 17 follow-up years. Participants were excluded from analyses if they self-reported bronchodilator/aerosol use and/or history of asthma/wheezing during examinations 1 and 2 – that is ‘have you had asthma/wheeze (since last exam)’. Onset of risk was defined as 1984, as it coincides with a shift by major US soft drink producers from the use of sucrose to HFCS( Reference Bray 33 , Reference Bray, Nielsen and Popkin 34 , Reference Warner 41 , Reference Bovard 42 ). The FHS-OS was approved by the US-National Heart, Lung and Blood Institute of the National Institutes of Health. Participants gave written consent.

There were between 2692 and 2696 participants with complete responses to analyses questions, depending upon the beverage. A flow chart showing exclusions is provided as the online Supplementary Material.

Beverage intake

We analysed intake frequency of non-diet soda – the high-EFF beverage most consumed by US adults( Reference Han and Powell 43 , Reference Ogden, Kit and Carroll 44 ) – fruit drinks, apple juice and any combination of these beverages (referred to as ttlEFF), as self-reported at each examination via the Willett FFQ( 40 ). During the study period, HFCS was the main sweetener in US soda(45). Intake frequencies were estimated for examination 4 (average of examinations 3 and 5), as examination 4 lacked an FFQ. For individual analyses, intake frequencies were reduced from seven to four (≤once/week, 2–4 times/week, 5–7 times/week and >once a day), except for individual analyses with apple juice and fruit drinks, with three levels (≤once/week, 2–4 times/week, ≥5 times/week), as fewer people reported consumption >once a day. To analyse intake frequencies for any combination of non-diet soda, fruit drinks and apple juice, the following values were assigned, based on responses for each beverage, and then summed per respondent: 0·016, that is 0·5/30, for never or <1/month; 0·066, that is 2/30, for 1–3 times/month; 0·143, that is 1/7, for 1 time/week; 0·429, that is 3/7, for 2–4 times/week; 0·857, that is 6/7, for 5–7 times/week; 2·5, for 2–3 times/d; and 4, for ≥4 times/d. Sums were then divided into quintiles to establish five intake frequencies for any combination of HFCS-sweetened soda, fruit drinks and apple juice. For comparison, we also analysed diet soda and orange juice – a juice with a 1:1 fructose:glucose ratio( 27 ). The FFQ directed participants to estimate their usual intake of a standardised portion of a given food item. The suggested serving size for fruit and soft drinks was a can or glass, as compared with a small glass for juice( 40 ).

Ascertainment of end points

Incident asthma was defined as self-reported asthma (at each examination), including wheezing or asthma (have you had asthma/wheeze since the last examination of short duration, long duration or with respiratory infections). Two analysis models were used. The first model analysed asthma risk on the basis of the first self-reported incidence of asthma – after risk onset. The second model analysed multiple end points, and it reflects risks associated with persistent (recurring) asthma.

Potential confounders

Potential confounders were selected based on existing research( Reference Park, Blanck and Sherry 2 Reference Wright, Rifas-Shiman and Oken 5 ). Adjustments were made for sex, age, history of smoking, education level (non-high-school graduate; high-school graduate; college; post baccalaureate) and time-varying covariates, including interim smoking (smoked cigarettes/cigars/pipes since the last examination), total energy intake and BMI (continuous variable) – a comorbidity of asthma. We also adjusted for type 2 diabetes (T2D) – as recent research indicates that T2D is a comorbidity of asthma, for reasons that remain unclear( Reference Yun, Knoebel and Fenta 46 ). T2D status was based upon fasting glucose concentration ≥6·99 mmol/l(≥126 mg/dl), T2D treatment status or both. If fasting glucose was unavailable, a participant was T2D positive if non-fasting blood glucose was ≥11·1 mmol/l(≥200 mg/dl) or there was a known history of T2D. Diabetes status was updated if diabetes status was missing and it was provided in the previous examination( 40 ).

Statistical analysis

There were 445 exclusions owing to self-reported bronchodilator/aerosol use or history of asthma/wheezing before examination 3. Participants with implausible energy intakes (n 160), as established by the FHS (<600 and >4000), were also excluded from the analyses. Cox proportional hazards models with time-varying covariates, with time on study as the time scale, were used for analyses. After verifying proportional hazards assumptions by using the Schoenfeld and scaled Schoenfeld residuals for the models – as a whole and individually, including plots for each predictor (P≥0·05) – we examined incident asthma over approximately 17 years of follow-up, using multivariable-adjusted Cox proportional hazards models to estimate hazard ratios (HR). Risk onset was defined as 11 years (1984) from the mid-point (1973) of enrolment (1971–1975). Person-time was calculated from baseline (1983–1987) to examination 7 (1998–2001), death, loss to follow-up, incident asthma (model 1) or persistent/recurring asthma (model 2).

Covariates were updated at each time point (examinations 3–7). For missing data, the last value was carried forward for BMI, smoking status and T2D status – a protocol used in existing sugar-sweetened beverages (SSB) research( Reference de Koning, Malik and Kellogg 47 ). For total energy intake, subsequent values were used if the prior examination value was missing, as examination 5 had 304 missing values and examination 6 had 132 missing values. Total energy intake for examinations 3 and 4 were estimated by averaging values from examinations 5, 6 and 7, as total energy intake was not available in the data set for examinations 3 and 4. Analyses of individual beverages included additional adjustments for the other high-EFF beverages, to enable independent assessment of each high-EFF beverage. For example, the HR for non-diet soda reflects asthma risk, which is independent of fruit drinks and apple juice. Within each model, potential mediators were analysed in two ways: the first included age, sex, education level, total energy intake, BMI, history of smoking and interim smoking as potential confounders, and the second included further adjustment for T2D status, to assess associations independent of blood glucose. Stata version 13.1 was used and a two-tailed P value <0·05 with 95 % CI that did not include 1 was considered statistically significant.

Results

Baseline characteristics

A higher percentage of participants frequently (≥5 times/week) consumed orange juice (43·6 %) as consumed HFCS-sweetened soda (31 %) and diet soda (37·8 %). Nearly half of the participants (46·7 %) reported intake of ttlEFF approximately once or more per day at baseline (examination 3). Within this combination, the percentage of respondents who regularly (≥5 times/week) consumed non-diet soda (31 %, n 2394) was higher than apple juice (5·1 %, n 2392) or fruit drinks (8·1 %, n 2388) (Table 1). Men consumed non-diet soda or any combination of non-diet soda, fruit drinks and apple juice more frequently than women, and frequent consumption of these beverages was associated with higher prevalence of current/recent smoking, whereas women were more likely to consume diet soda. Frequent (≥5 times/week) orange juice consumers were less likely to have smoked since the prior examination than frequent consumers of non-diet soft drinks (Table 2). Increasing consumption of all sugar-containing beverages was associated with higher total energy intakes ranging from approximately 7113 kJ (1700 kcal) for ≤once/week to approximately 8786 kJ (2100 kcal) for more than once/d consumption.

Table 1 Baseline characteristics of adults aged 24–72 years in the Framingham Offspring Cohort – 1984Footnote * (Mean values and standard deviations)

ttlEFF, combination of high-fructose corn syrup-sweetened soft drinks, fruit drinks and apple juice.

* Characteristics are based upon self-reported responses to the medical and FFQ administered at baseline (1984).

Table 2 Baseline characteristics of participants by beverage intake frequency in the Framingham Offspring Cohort

ttlEFF, combination of high-fructose corn syrup-sweetened soft drinks, fruit drinks and apple juice; T2D, type 2 diabetes.

Relationship with asthma

Greater intake of any combination of HFCS-sweetened soda, fruit drinks and apple juice was significantly associated with progressively higher asthma risk, rising from 59 % higher for moderate (2–4 times/week) consumers to a plateau of 89 % higher among 5–7 times/week v. never/seldom consumers (P<0·001), independent of potential confounders including age, sex, BMI, smoking, education level and total energy intake. Asthma risk did not change materially after further adjustment for T2D (HR 1·91; 95 % CI 1·37, 2·66, P<0·001) (Table 3). Among >once/d v. seldom/never consumers, the asthma association (41 % higher) approached statistical significance (P=0·058) (Table 3). Among 2696 participants, there were 363 incident cases of asthma over 17 years of follow-up (26 828 person-years – an incidence rate of 13·5 % (Table 4). Regular (5–7 times/week) consumers of HFCS-sweetened soda had a 48 % higher asthma risk (HR 1·48; 95 % CI 1·09, 2·01, P<0·011) compared with never/seldom consumers, independent of potential confounders. Asthma risk did not change materially after further adjustment for T2D (HR 1·49; 95 % CI 1·10, 2·02, P<0·011) (Table 3).

Table 3 Asthma risk according to beverage consumption in adults, the Framingham Offspring Cohort (Hazard ratios (HR) and 95 % confidence intervals)

ttlEFF, combination of high-fructose corn syrup-sweetened soft drinks, fruit drinks and apple juice; ndSoda, HFCS-sweetened soft drinks; FD, fruit drinks; AJ, apple juice; Ref., referent values; HFCS, high-fructose corn syrup.

* Significant associations. ° Association that approached significance.

Asthma refers to the first incidence of asthma/wheeze as self-reported during examinations (3–7), after the onset of risk (1984).

Beverages with fructose:glucose ratios that exceed 1:1. During the Framingham Heart Study-Offspring Study period (1984–2008), HFCS was the main sweetener in US soft drinks( Reference Vartanian, Schwartz and Brownell 45 ). The fructose:glucose ratio in AJ is≥2:1( 27 ). In HFCS-sweetened soft drinks the ratio has been measured as 1·5:1 for HFCS with 60 % fructose( Reference Walker, Dumke and Goran 29 ) and 1·9:1 for HFCS with 65 % fructose( Reference Ventura, Davis and Goran 28 ) – higher than the 1·2:1 ratio that is generally recognised as safe( 22 , 23 ).

Table 4 Asthma risk (fully adjusted) by consumption of high-fructose corn syrup (HFCS)-sweetened soft drinks, fruit drinks and apple juice (ttlEFF) in adults – The Framingham Offspring CohortFootnote (Hazard ratios (HR) and 95 % confidence intervals)

* Significant associations. ° Association that approached significance.

Incident and recurrent asthma (cases per 1000 person-years) are shown by beverage intake frequency for ttlEFF and HFCS-sweetened soda.

Beverages with fructose:glucose ratios that exceed 1:1( Reference Willems and Low 26 ). The fructose:glucose ratio in apple juice is≥2:1( Reference Willems and Low 26 ). In HFCS-sweetened soft drinks, the ratio has been measured as 1·5:1 for HFCS with 60 % fructose( Reference Ventura, Davis and Goran 28 ), and 1·9:1 for HFCS with 65 % fructose( 27 ) – higher than the 1·2:1 that is generally recognised as safe( 22 , 23 ).

§ HR are adjusted for age, sex, education level and time-varying covariates such as BMI, history of smoking, interim smoking and type 2 diabetes.

Analyses with HFCS-sweetened soda were further adjusted for intake frequency of non-diet fruit drinks, and apple juice, as we were interested in assessing the relative risk of asthma independent of these other high-excess free fructose beverages.

Moderate consumers (2–4 times/week) of fruit drinks had 58 % higher asthma risk (95 % CI 1·12, 2·22; P<0·009) and moderate consumers of apple juice had 61 % higher asthma risk, compared with never/seldom consumers (95 % CI 1·14, 2·28; P<0·007), independent of sex, age, smoking history, education level, BMI and total energy intake. There were no significant changes in risk, after further adjustment for T2D. There was no association between diet soda or orange juice intake and asthma (Table 3).

There were 18·4 incident cases of asthma, per 1000 person-years, among frequent consumers (approximately once a day) of any combination of HFCS-sweetened soda, fruit drinks and apple juice – a number that was double that of never/seldom consumers (9·0). Persistent asthma (incident and recurrent cases) was also significantly higher with increasing consumption of high-EFF beverages (Table 4). Crude risks are available as the online Supplementary Table S1.

Discussion

Consumption of HFCS-sweetened soda, fruit drinks and apple juice – beverages with high fructose:glucose ratios – was significantly associated with increased asthma risk. There was no association with diet soda. Orange juice – a 100 % juice with a 1:1 fructose:glucose ratio – and a fairly comparable amount of total fructose (11 g) as non-diet soda (14·5 g) and apple juice (15·7 g)( 27 ), per 8 ounce cup (237 ml), was also not associated with asthma, despite a higher consumption propensity (≥5 times/week, 43·6 %) as HFCS-sweetened soda (≥5 times/week, 31 %). The highest risk (91 %) was seen among participants who consumed any ttlEFF about once a day (5–7 times/week). However, moderate ttlEFF consumers (2–4 times/week) were also at higher risk (61 %), relative to never/seldom consumers, independent of potential confounders, including T2D. Moderate apple juice and fruit drink consumers (2–4 times/week) also had increased asthma risk (61 and 58 % higher), as did regular consumers (5–7 times/week) of HFCS-sweetened soda (49 % higher), relative to seldom/never consumers. It is worth noting that the asthma risk (91 %) among participants who regularly (5–7 times/week) consumed any combination of all three high-EFF beverages, relative to seldom/never consumers, was 42 percentage points higher than the asthma risk (49 %) among participants who regularly consumed HFCS-sweetened soda, exclusive of fruit drinks and apple juice.

Notably, >once/day HFCS-sweetened soda intake was not associated with asthma, nor was≥5 times/week intake of fruit drink and apple juice. The association between >once a day consumption of any combination of HFCS-sweetened soda, fruit drinks and apple juice and asthma approached statistical significance, albeit at a lower HR (1·41, P=0·058) than among 5–7 times/week consumers (1·91, P<0·001)). This paradox may be due to insufficient statistical power. Another possible explanation is that persistent exposure to high immunogen (enFruAGE) concentration, over extended time periods, leads to attenuated effects over time, as chronic stimulations are known to result in a tolerogenic immune response( Reference Pradeu and Vivier 48 ). We observed similar plateaus in our prior childhood asthma study with NHANES( Reference DeChristopher, Uribarri and Tucker 4 ). Interestingly, in a CDC (adult) study (n 146 990), intake of SSB (HFCS-sweetened soda, fruit drinks, sports/energy drinks and sweet tea) was associated with asthma, among non-obese (BMI <30) participants. There was no association among obese (BMI≥30) participants( Reference Park, Akinbami and McGuire 3 ). This is consistent with the hypothesis that persistent intakes lead to attenuated effects and immune system tolerance. In the US CDC study of high-schoolers,≥3 times/d non-diet soda intake was associated with asthma( Reference Park, Blanck and Sherry 2 ). It is noteworthy that, of these studies, this (FHS-OS) analysis is the only one wherein participants were followed up over an extended time period (approximately 17 follow-up years) v. analyses of data from a snapshot in time.

Importantly, the lack of association with orange juice and diet soda, combined with the strong associations across all high-EFF beverages – independent of potential confounders, including T2D status – provide further evidence that the increased asthma risk may be due to the high fructose:glucose ratio in HFCS-sweetened soda, fruit drinks and apple juice. A ranking of beverages by increased asthma risk and their fructose to glucose ratios aligns well with our results as follows: (61 %) apple juice,≥2:1; (58 %) fruit drinks (the ratio for fruit drinks likely lies somewhere between apple juice and HFCS, as many varieties are sweetened with HFCS and contain apple juice); (49 %) HFCS-sweetened soda (the ratio may be between 1·9:1 and 1·5:1, depending upon fructose percentage as found by independent laboratories (65 % fructose( Reference Ventura, Davis and Goran 28 ) and 60 % fructose respectively( Reference Walker, Dumke and Goran 29 ))); and (None) orange juice, 1:1( 27 ). The negative results with orange juice were similarly negative in our prior childhood asthma study( Reference DeChristopher, Uribarri and Tucker 4 ) and in the longitudinal birth cohort study – Project Viva( Reference Wright, Rifas-Shiman and Oken 5 ). These results support our hypothesis. Consumption of beverages with high fructose:glucose ratios (HFCS-sweetened soda, fruit drinks and apple juice) increases asthma risk, independently of blood glucose, age, sex, BMI, total energy intake, education level and smoking. This may be because of fructose malabsorption, and enteral formation of pro-inflammatory enFruAGE, but more studies of mechanism are needed.

Researchers have sought to understand the causes of fructose malabsorption. However, they remain inconclusive, as no glucose and fructose transporters (GLUT2) or EFF transporters (GLUT5) genetic mutations have been identified, nor is there evidence that depressed levels of these transporters are responsible for the condition( Reference Riby, Fujisawa and Kretchmer 18 Reference Ebert and Witt 21 ). Rather, research suggests that our current food supply contains EFF (high fructose:glucose ratios), from HFCS, agave syrup, crystalline fructose, apple juice and other combination juices with apple juice, that we have not evolved to consume( Reference Gibson, Newnham and Barrett 19 , Reference Biesiekierski 20 ). Notably, the list of foods that naturally contain high fructose:glucose ratios is short. It includes primarily apples, watermelons, pears and mangoes( 27 ).

Although HFCS-sweetened soda and fruit drinks are major sources of EFF – the fructose type associated with fructose malabsorption( Reference Riby, Fujisawa and Kretchmer 18 Reference Ebert and Witt 21 , Reference Jones, Burt and Dowling 49 , Reference Smith, Davis and Chasalow 50 ) – the potential for a further asthma effect from intake of HFCS-sweetened foods is possible, as HFCS has been ubiquitous in the US food supply since the 1990s( Reference Morrison and Buzby 30 Reference Bray, Nielsen and Popkin 34 ), and foods other than beverages have been more significant sources of HFCS for some people. This becomes evident with a comparison of average per capita daily HFCS intake (65 g)( 24 , Reference Morrison and Buzby 30 , Reference Wells and Buzby 31 , Reference Haley 51 , Reference Haley 52 ) relative to average daily HFCS intake derived from ‘SSB’( Reference Han and Powell 43 , Reference Ogden, Kit and Carroll 44 ). For example, a 20 oz (590 ml) bottle of cola, coincidentally, contains 65 g, that is 1004 kJ (240 kcal), from HFCS( 14 , 15 ) – the same amount as average per capita daily HFCS intake (65 g), as reported before industry-influenced increases in consumer-level loss allowances( Reference Haley 51 Reference Sosland 54 ). Notably, only adolescent boys (1142 kJ/d (273 kcal/d)) and men aged 20–39 years (1054 kJ/d (252 kcal/d)) consumed this amount of HFCS (kJ/d (kcal/d)) from SSB, whereas intakes by other age/sex groups ranged from 176 kJ/d (42 kcal/d) for women aged ≥60 years to 590 kJ/d (141 kcal/d) for 6- to 11-year-old boys( Reference Han and Powell 43 , Reference Ogden, Kit and Carroll 44 ). Therefore, this study may be underestimating the true asthma risk associated with HFCS intake, as HFCS as a preferred sweetener was not exclusive to beverages. Its use became ubiquitous during the time period of this study( Reference Morrison and Buzby 30 , Reference Wells and Buzby 31 , Reference Bray 33 , Reference Bray, Nielsen and Popkin 34 ). Notably, these HFCS intake levels from SSB were measured during a time (2005–2008) when average HFCS intake was lower than peak (approximately 80 g p/d, 1999)( 24 , Reference Haley 51 Reference Sosland 54 ), as reported before retroactively applied subjective increases in consumer-level loss allowances( Reference Haley 51 Reference Sosland 54 ).

Enrolment in the FHS-OS (1971–1975)( 40 ) preceded widespread use of HFCS. However, by 1984, average per capita intake had increased to approximately 20 g/d, and later to approximately 80 g/d (>1 lb/week)( 24 , Reference Haley 51 Reference Sosland 54 ). In average daily intake of 65 g of HFCS, there are 13–19 g of EFF, depending on the fructose percentage (60 %( Reference Walker, Dumke and Goran 29 ) or 65 %( Reference Ventura, Davis and Goran 28 )). From a fructose malabsorption perspective, these levels appear problematic, given that fructose levels as low as 12·5–25 g are associated with adult fructose malabsorption( Reference Riby, Fujisawa and Kretchmer 18 Reference Ebert and Witt 21 , Reference Hoekstra, van Kempen and Bijl 55 Reference Beyer, Caviar and McCallum 59 ), and given that one cup of apple juice contributes another 8–9 g of EFF to the daily EFF load from HFCS( 27 ). Limited fructose malabsorption research with children indicates that they test positive at lower intakes( Reference Jones, Burt and Dowling 49 , Reference Smith, Davis and Chasalow 50 ).

The fate of unabsorbed EFF in the intestines has recently been tested. Incubation of amino acids( Reference Bains and Gugliucci 16 ) and ovalbumin (a model egg protein)( Reference Bains, Gugliucci and Caccavello 17 ) with fructose – but not glucose – at concentrations and pH that would be present in the intestines after a meal led to a time- and dose-dependent formation of FruAGE intermediates, as measured by fluorescence, within 30 min( Reference Bains, Gugliucci and Caccavello 17 ) and 1 h( Reference Bains and Gugliucci 16 ) of incubation – a time frame well compatible with the digestive process. This provides evidence that fructose malabsorption may underlie the intestinal in situ formation of pro-inflammatory FruAGE. These end products may initiate a cascade of symptoms, including airway mucous hypersecretion that promotes asthma( Reference DeChristopher 1 ). Although RAGE are located in many tissues, the lungs have the highest concentration( Reference Buckley and Ehrhardt 35 ), and evidence suggests that they are mediators of asthma( Reference Milutinovic, Alcorn and Englert 36 ). There is evidence that glycated peptides, seven amino acids long, with nɛ-carboxy-methyl-lysine (CML) and nɛ-carboxy-ethyl-lysine – well-studied AGE – were capable of triggering pro-inflammatory cytokine gene expression, without requiring a specific amino acid sequence( Reference Xue, Rai and Singer 60 , Reference Dötsch 61 ). This is important, as conditions in the intestines, with proteins at various digestion levels, may be conducive to the formation and absorption of a potentially large quantity of heterogeneous glycated peptides. Because of their small size, these extracellular newly identified enFruAGE may leave the vascular compartment and trigger pro-inflammatory signalling that increases asthma risk. Since the discovery that receptors of AGE are mediators of asthma, additional studies have confirmed that RAGE are major mediators of pulmonary inflammatory responses across pulmonary conditions( Reference Oczypok, Perkins and Oury 62 ).

Most recently, results of another in vitro study, with meal resembling systems, provided further evidence that FruAGE may form in the intestines. Their results showed that only the meal with fructose (as remains in the intestines of fructose malabsorbers) formed CML, and it occurred well within the time window of digestion (1 h). There was no CML formation with glucose( Reference Martinez-Saez, Fernandez-Gomez and Cai 63 ). This research provided further evidence that these intestinally formed immunogens may accumulate in body tissues and contribute to asthma and its comorbidities( Reference DeChristopher 1 , Reference DeChristopher, Uribarri and Tucker 7 ). Notably, asthma patients have increased risk of CHD( Reference de Koning, Malik and Kellogg 47 , Reference Iribarren, Tolstykh and Miller 64 ), rheumatoid arthritis( Reference Patel, Janevic and Heeringa 65 ) and T2D( Reference Song, Klevak and Manson 66 ), for reasons that remain inconclusive. In prior studies, we found that intakes of non-diet soda, fruit drinks and apple juice, but not diet soda( Reference DeChristopher, Uribarri and Tucker 67 ) or 100 % orange juice( Reference DeChristopher, Uribarri and Tucker 68 ), were associated with idiopathic arthritis( Reference DeChristopher, Uribarri and Tucker 67 ) and CHD( Reference DeChristopher, Uribarri and Tucker 68 ). Furthermore, the paradox in dietary AGE (dAGE) research provides indirect support for this hypothesis. Serum and urinary AGE were not associated with intake of foods previously thought to be high in dAGE (fast foods, hamburgers and fries), as hypothesised. Rather, the association was with intake of HFCS-sweetened foods, including cold cereals, breads and sweets( Reference DeChristopher 69 ).

The results of this study, along with others, have important implications for public policy. They support the possibility that the 100 % juice reductions in the US Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) in 2009( Reference Oliveira and Frazao 70 , 71 ), and the plateauing/decreasing asthma prevalence seen in 2010–2013, particularly among non-Hispanic black children( Reference Akinbami, Simon and Rossen 72 ), may be related. WIC is a federally supported nutrition assistance programme that serves >one-quarter of the pregnant women, half the infants and many children <5 years of age in the USA( Reference Oliveira and Frazao 70 , 71 ). The 2009 revision eliminated 100 % juice from the infants food package, and reduced quantities for women and children( 71 ). Furthermore, in a recent report by the US CDC, childhood asthma prevalence doubled from 1980 to 1995 (a period with a rapid rise in average per-capita HFCS consumption) and then increased more slowly from 2001 to 2010. The increase from 2001 to 2009 was followed by a plateau and then a decline in 2013. Researchers noted that current asthma prevalence ceased to increase among children in recent years and that the non-Hispanic black–white disparity stopped increasing, mainly owing to plateauing prevalence among non-Hispanic black children( Reference Akinbami, Simon and Rossen 72 ). Although soft drink consumption has declined over the past decade( Reference Han and Powell 43 , Reference Ogden, Kit and Carroll 44 ), our prior childhood (ages 2–9 years) asthma study results with nationally representative NHANES data from 2003 to 2006( Reference DeChristopher, Uribarri and Tucker 4 ) suggest that the asthma decline, among non-Hispanic black children in 2012, may be more attributed to the decline in apple juice consumption than soft drink consumption, as moderate apple juice consumers were more than two and a half times as likely to have asthma as compared with seldom/never consumers, whereas intake of non-diet soda was associated with asthma prevalence, only when consumed in combination with apple juice and fruit drinks( Reference DeChristopher, Uribarri and Tucker 4 ).

Results of another study were recently published wherein early childhood fructose intake was associated with mid-childhood asthma, independent of BMI( Reference Wright, Rifas-Shiman and Oken 73 ). However, this research is a re-analysis of an earlier study (2014), of the same mother–child pairs (Project Viva)(5). In the first published study, researchers found that intake of juice at 2 years of age, excluding orange juice, was associated with mid-childhood asthma( Reference Wright, Rifas-Shiman and Oken 5 ). In the re-analysis, no distinction was made between orange juice and apple juice. Researchers concluded in both analyses that the asthma association is with total fructose( Reference Wright, Rifas-Shiman and Oken 5 , Reference Wright, Rifas-Shiman and Oken 73 ). However, this interpretation is inconsistent with their earlier results( Reference Wright, Rifas-Shiman and Oken 5 ). Importantly, it is inconsistent with this study’s results, with findings from our analysis with NHANES( Reference DeChristopher, Uribarri and Tucker 4 , Reference DeChristopher, Uribarri and Tucker 7 ) and with the case study that motivated this research( Reference DeChristopher 1 ). Furthermore, across epidemiological studies, associations are independent of BMI, providing evidence that mechanisms are independent of adiposity( Reference Park, Blanck and Sherry 2 Reference Wright, Rifas-Shiman and Oken 5 , Reference Wright, Rifas-Shiman and Oken 73 ). Importantly, CDC researchers recently assessed whether population-level changes in weight status affected asthma prevalence trends over time (1988–2014 NHANES). They found that, although obesity was a risk factor for asthma throughout the period, asthma prevalence increased only among children with normal weight. They concluded that the data do not support a contribution of obesity trends to increasing asthma prevalence trends( Reference Akinbami, Rossen and Fakhouri 74 ). The results presented herein support the hypothesis that the asthma association is with fructose to glucose ratios that exceed 1:1 (EFF), with underlying fructose malabsorption, and with formation of asthma-triggering immunogens in the GI lumen between unabsorbed EFF and partially digested dietary peptides.

This study has limitations. First, outcomes were based on self-report, which is subject to reporting bias. However, these results are consistent with existing studies, and with another recently published cross-sectional study of US adults with doctor-diagnosed current asthma. Individuals with doctor-diagnosed active asthma who drank non-diet soda three or more times/week had higher odds (2·8; 95 % CI 1·51, 5·10, P=0·001) of overnight hospitalisation compared with seldom consumers, independent of age, education, sex, race/ethnicity, weight status, smoking and self-rated health( Reference Cisneros, Gonzalez and Brown 75 ). Second, a myriad of foods contribute to EFF intake (cold cereals, breads, snack bars, desserts, sweets, ketchup, sauces and so on)( Reference Morrison and Buzby 30 Reference Bray, Nielsen and Popkin 34 ), which were not accounted for in this study. Foods, other than beverages, are major sources of HFCS for many age groups, as adolescent boys and men aged 20–39 years were the only ones consuming SSB at levels consistent with HFCS average per-capita consumption( Reference Han and Powell 43 , Reference Ogden, Kit and Carroll 44 ). Foods sweetened with agave syrup and crystalline fructose were also not considered. This exposure underestimation may have attenuated our ability to quantify the true risk. Third, this study is not nationally representative. Participants were mainly non-Hispanic white Americans, which does not allow consideration of race/ethnicity on this relationship. In particular, we may be underestimating the true risk among African Americans as they have higher fructose malabsorption prevalence than non-Hispanic whites and Hispanics( Reference Walker, Lê and Davis 76 ). However, in existing studies, associations with asthma were independent of race/ethnicity( Reference Park, Blanck and Sherry 2 Reference Wright, Rifas-Shiman and Oken 5 , Reference Rumessen 58 ). Fourth, although we were able to adjust for education level, we were not able to account for income – a possible confounder – as it was not available. However, in our prior studies of childhood asthma( Reference DeChristopher, Uribarri and Tucker 4 ), and adult chronic bronchitis( Reference DeChristopher, Uribarri and Tucker 37 ), associations were independent of socio-economic status. Fifth, we were not able to assess occupational or environmental air quality factors as a potential confounder, as this information was not available in the data. Sixth, this study with adults did not quantify risks in children. More research is needed, particularly with children, as fructose malabsorption research indicates that they test positive at lower intakes( Reference Jones, Burt and Dowling 49 , Reference Smith, Davis and Chasalow 50 ). Seventh, we were unable to assess associations before 1984, to test the hypothesis that non-diet soda, when sweetened with sucrose, is not associated with asthma, as examinations 1 and 2 lacked an FFQ. More biochemical, clinical and consequences of fructose malabsorption research is needed.

Conclusion

Moderate and frequent consumption of HFCS-sweetened soda, fruit drinks and apple juice, but not diet soda or orange juice, increased asthma risk, independent of age, sex, smoking, BMI, education level, total energy intake and T2D. This may be because of the high fructose:glucose ratio in these beverages, fructose malabsorption and formation of asthma-triggering immunogens (enFruAGE) in the GI lumen. Recommendations to reduce sugar-sweetened beverage consumption may be inadequate to address asthma risk, as associations are evident even with moderate intake of apple juice – a 100 % juice. The 100 % juice reductions in the WIC in 2009, and the plateauing/decreasing asthma prevalence (2010–2013), particularly among non-Hispanic black children, may be related. Intervention studies and more research of consequences of fructose malabsorption are needed.

Acknowledgements

The FHS is funded by the National Heart, Lung and Blood Institute (HHSN268201500001I; NO1-HC-25195; HL076784; AG028321; HL070100; HL060040; HL080124; HL071039; HL077447; 6R01-NS-17950; and HL107385). This research received no specific grant from any funding agency, commercial or not-for-profit sectors.

L. R. D. C. researched and developed the biochemical hypothesis, designed the epidemiology research, performed all of the analyses and wrote the manuscript. L. R. D. C. holds a Master’s of Science in Biochemistry, Molecular Biology, New York Medical College, Valhalla, NY; she has additionally completed advanced coursework in immunology, epidemiology and biostatistics. K. L. T. provided critical review, reviewed all statistical analyses and contributed to editing the manuscript. All authors read and approved the final manuscript.

The authors declare that there are no conflicts of interest.

Supplementary Material

For supplementary material/s referred to in this article, please visit https://doi.org/10.1017/S0007114518000417

References

1. DeChristopher, LR (2012) Consumption of fructose and high fructose corn syrup: is fructositis triggered bronchitis, arthritis, & auto-immune reactivity merely a side bar in the etiology of metabolic syndrome II (to be defined)? – evidence and a hypothesis. https://www.researchgate.net/publication/276920662 (accessed February 2018).Google Scholar
2. Park, S, Blanck, HM, Sherry, B, et al. (2013) Regular-soda intake independent of weight status is associated with asthma among US high school students. J Acad Nutr Diet 113, 106111.CrossRefGoogle ScholarPubMed
3. Park, S, Akinbami, LJ, McGuire, LC, et al. (2016) Association of sugar-sweetened beverage intake frequency and asthma among U.S. adults, 2013. Prev Med 91, 5861.Google Scholar
4. DeChristopher, LR, Uribarri, J & Tucker, KL (2016) Intakes of apple juice, fruit drinks and soda are associated with prevalent asthma in US children aged 2–9 years. Public Health Nutr 19, 123130.Google Scholar
5. Wright, LS, Rifas-Shiman, S, Oken, E, et al. (2015) Maternal prenatal intake of fructose is associated with asthma in children. J Aller Clin Immunol 135, AB228.Google Scholar
6. National Institute of Allergy and Infectious Diseases of the National Institute of Health (2011) Guidelines for the Diagnosis and Management of Food Allergy in the United States. Bethesda, MD: US Department of Health and Human Services. https://nihpublications.od.nih.gov/PublicationDetails.aspx?PubID=6391 (accessed February 2018).Google Scholar
7. DeChristopher, LR, Uribarri, J & Tucker, KL (2016) The link between soda intake and asthma: science points to the high-fructose corn syrup, not the preservatives: a commentary. Nutr Diabetes 6, e234.Google Scholar
8. Coca Cola New Zealand (2015) http://www.coca-colajourney.co.nz/brands/coca-cola (accessed May 2015).Google Scholar
9. Wickens, K, Barry, D, Friezema, A, et al. (2005) Fast foods – are they a risk factor for asthma? Allergy 60, 15371541.Google Scholar
10. Shi, Z, Dal Grande, E, Taylor, AW, et al. (2012) Association between soft drink consumption and asthma and chronic obstructive pulmonary disease among adults in Australia. Respirology 17, 363369.Google Scholar
11. Watkins, NG, Neglia-Fisher, CI, Dyer, DG, et al. (1987) Effect of phosphate on the kinetics and specificity of glycation of protein. J Biol Chem 262, 72077212.Google Scholar
12. Zhang, Q, Ames, JM, Smith, RD, et al. (2009) A perspective on the Maillard reaction and the analysis of protein glycation by mass spectrometry: probing the pathogenesis of chronic disease. J Proteome Res 8, 754769.CrossRefGoogle ScholarPubMed
13. Rizzi, GP (2004) Role of phosphate and carboxylate ions in Maillard browning. J Agric Food Chem 52, 953957.Google Scholar
16. Bains, Y & Gugliucci, A (2016) Ilex paraguariensis and its main component chlorogenic acid inhibit fructose formation of advanced glycation endproducts with amino acids at conditions compatible with those in the digestive system. Fitoterapia. 117, 610.CrossRefGoogle ScholarPubMed
17. Bains, Y, Gugliucci, A & Caccavello, R (2017) Advanced glycation endproducts form during ovalbumin digestion in the presence of fructose: inhibition by chlorogenic acid. Fitoterapia 120, 15.Google Scholar
18. Riby, JE, Fujisawa, T & Kretchmer, N (1993) Fructose absorption. Am J Clin Nutr 58, 5 Suppl., 748S753S.CrossRefGoogle ScholarPubMed
19. Gibson, PR, Newnham, E, Barrett, JS, et al. (2007) Review article: fructose malabsorption and the bigger picture. Aliment Pharmacol Ther 25, 349363.Google Scholar
20. Biesiekierski, JR (2014) Fructose-induced symptoms beyond malabsorption in FGID. United Eur Gastroenterol J. 2, 1013.CrossRefGoogle ScholarPubMed
21. Ebert, K & Witt, H (2016) Fructose malabsorption. Mol Cell Pediatr 3, 10.Google Scholar
22. United States Food & Drug Administration (2017) Code of Federal Regulations Title 21, Volume 3. 21CFR184.1866. https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfcfr/CFRSearch.cfm?fr=184.1866 (accessed February 2018).Google Scholar
23. Federal Register (1996) Rules and regulations, Volume 61, Number 165, 23 August, pp. 43447, 43450. FR Doc No.: 9621482. https://www.gpo.gov/fdsys/pkg/FR-1996-08-23/html/96-21482.htm (accessed December 2017).Google Scholar
24. US Department of Agriculture & Economic Research Service (2012) The ERS food availability (Per Capita) data system. http://www.ers.usda.gov/data-products/food-availability-(per-capita)-data-system.aspx# Google Scholar
25. Mellado-Mojica, E & López, MG (2015) Identification, classification, and discrimination of agave syrups from natural sweeteners by infrared spectroscopy and HPAEC-PAD. Food Chem 167, 349357.Google Scholar
26. Willems, JL & Low, NH (2012) Major carbohydrate, polyol, and oligosaccharide profiles of agave syrup. Application of this data to authenticity analysis. J Agric Food Chem 60, 87458754.Google Scholar
27. US Department of Agriculture & Agricultural Research Service (2012) USDA National Nutrient Database for Standard Reference, Release 26. http://www.ars.usda.gov/ba/bhnrc/ndl (accessed December 2015).Google Scholar
28. Ventura, EE, Davis, JN & Goran, MI (2011) Sugar content of popular sweetened beverages based on objective laboratory analysis: focus on fructose content. Obesity (Silver Spring) 19, 868874.Google Scholar
29. Walker, RW, Dumke, KA & Goran, MI (2014) Fructose content in popular beverages made with and without high-fructose corn syrup. Nutrition 30, 928935.Google Scholar
30. Morrison, R, , M & Buzby, JC (2010) Guess who’s turning 100? Tracking a century of American eating. Washington, DC: US Department of Agriculture, Economic Research Service, Amber Waves. https://www.ers.usda.gov/amber-waves/2010/march/guess-who-s-turning-100tracking-a-century-of-american-eating/ (accessed December 2015).Google Scholar
31. Wells, HF & Buzby, JC (2008) High-fructose corn syrup usage may be leveling off. Washington, DC: US Department of Agriculture, Economic Research Service. https://www.ers.usda.gov/amber-waves/2008/february/high-fructose-corn-syrup-usage-may-be-leveling-off/ (accessed December 2015).Google Scholar
32. Duffey, KJ & Popkin, BM (2008) High-fructose corn syrup: is this what’s for dinner? Am J Clin Nutr 88, 1722S1732S.Google Scholar
33. Bray, GA (2013) Energy and fructose from beverages sweetened with sugar or high-fructose corn syrup pose a health risk for some people. Adv Nutr 4, 220225.CrossRefGoogle ScholarPubMed
34. Bray, GA, Nielsen, SJ & Popkin, BM (2004) Consumption of high-fructose corn syrup in beverages may play a role in the epidemic of obesity. Am J Clin Nutr 79, 537543.CrossRefGoogle ScholarPubMed
35. Buckley, ST & Ehrhardt, C (2010) The receptor for advanced glycation end products (RAGE) and the lung. J Biomed Biotechnol 2010, 917108.Google Scholar
36. Milutinovic, PS, Alcorn, JF, Englert, JM, et al. (2012) The receptor for advanced glycation end products is a central mediator of asthma pathogenesis. Am J Pathol 181, 12151225.Google Scholar
37. DeChristopher, LR, Uribarri, J & Tucker, KL (2015) Intake of high fructose corn syrup sweetened soft drinks is associated with prevalent chronic bronchitis in U.S. Adults, ages 20-55 y. Nutr J 14, 107.Google Scholar
38. Berentzen, NE, van Stokkom, VL, Gehring, U, et al. (2015) Associations of sugar-containing beverages with asthma prevalence in 11-year-old children: the PIAMA birth cohort. Eur J Clin Nutr 69, 303308.Google Scholar
39. DeChristopher, LR (2015) Excess free fructose and childhood asthma. Eur J Clin Nutr 69, 1371.Google Scholar
40. The Framingham Heart Study (2017) A project of the National Heart, Lung, and Blood Institute and Boston University. http://www.framinghamheartstudy.org/ (accessed February 2018).Google Scholar
41. Warner, M (2006) A sweetener with a bad rap. New York Times. http://www.nytimes.com/2006/07/02/business/yourmoney/02syrup.html Google Scholar
42. Bovard, J (1998) The great sugar shaft. Freedom Daily, April. https://www.fff.org/explore-freedom/article/great-sugar-shaft/ (accessed February 2018).Google Scholar
43. Han, E & Powell, LM (2013) Consumption patterns of sugar-sweetened beverages in the United States. J Acad Nutr Diet 113, 4353.CrossRefGoogle ScholarPubMed
44. Ogden, CL, Kit, BR, Carroll, MD, et al. (2011) Consumption of sugar drinks in the United States, 2005–2008. NCHS Data Brief. http://www.cdc.gov/nchs/data/databriefs/db71.htm (accessed February 2018).Google ScholarPubMed
45. Vartanian, LR, Schwartz, MB & Brownell, KD (2007) Effects of soft drink consumption on nutrition and health: a systematic review and meta-analysis. Am J Public Health 97, 667675.CrossRefGoogle ScholarPubMed
46. Yun, HD, Knoebel, E, Fenta, Y, et al. (2012) Asthma and proinflammatory conditions: a population-based retrospective matched cohort study. Mayo Clin Proc 87, 953960.Google Scholar
47. de Koning, L, Malik, VS, Kellogg, MD, et al. (2012) Sweetened beverage consumption, incident coronary heart disease, and biomarkers of risk in men. Circulation 125, 17351741.CrossRefGoogle ScholarPubMed
48. Pradeu, T & Vivier, E (2016) The discontinuity theory of immunity. Sci Immunol 1, AAG0479.CrossRefGoogle ScholarPubMed
49. Jones, HF, Burt, E, Dowling, K, et al. (2011) Effect of age on fructose malabsorption in children presenting with gastrointestinal symptoms. J Pediatr Gastroenterol Nutr 52, 581584.Google Scholar
50. Smith, MM, Davis, M, Chasalow, FI, et al. (1995) Carbohydrate absorption from fruit juice in young children. Pediatrics 95, 340344.Google Scholar
51. Haley, S (2011) Sugars and sweeteners outlook. SSS-M-270. Washington, DC: US Department of Agriculture, pp. 6–9. http://usda.mannlib.cornell.edu/usda/ers/SSS//2010s/2011/SSS-02-14-2011.pdf (accessed December 2015).Google Scholar
52. Haley, S (2012) Sugars and sweeteners outlook. SSM-M-286. Washington, DC: US Department of Agriculture. pp. 16–19. http://usda.mannlib.cornell.edu/usda/ers/SSS//2010s/2012/SSS-06-18-2012.pdf (accessed December 2015).Google Scholar
53. Strom, S (2012) US cuts estimate of sugar intake. The New York Times. 26 October. http://www.nytimes.com/2012/10/27/business/us-cuts-estimate-of-sugar-intake-of-typical-american.html(accessed December 2015).Google Scholar
54. Sosland, J (2011) Study raises national food waste estimates. Food Business News. 4 January. http://www.foodbusinessnews.net/News/News-Home/Consumer-Trends/2011/1/Study-raises-national-food-waste-estimates.aspx?cck=1(accessed December 2015).Google Scholar
55. Hoekstra, JH, van Kempen, AA, Bijl, SB, et al. (1993) Fructose breath hydrogen tests. Arch Dis Child 68, 136138.Google Scholar
56. Gomara, RE, Halata, MS, Newman, LJ, et al. (2008) Fructose intolerance in children presenting with abdominal pain. J Pediatr Gastroenterol Nutr 47, 303308.Google Scholar
57. Rumessen, JJ & Gudmand-Hoyer, E (1988) Functional bowel disease: malabsorption and abdominal distress after ingestion of fructose, sorbitol, and fructose-sorbitol mixtures. Gastroenterology 95, 694700.Google Scholar
58. Rumessen, JJ (1992) Fructose and related food carbohydrates. sources, intake, absorption, and clinical implications. Scand J Gastroenterol 27, 819828.CrossRefGoogle ScholarPubMed
59. Beyer, PL, Caviar, EM & McCallum, RW (2005) Fructose intake at current levels in the united states may cause gastrointestinal distress in normal adults. J Am Diet Assoc 105, 15591566.Google Scholar
60. Xue, J, Rai, V, Singer, D, et al. (2011) Advanced glycation end product recognition by the receptor for AGEs. Structure 19, 722732.CrossRefGoogle ScholarPubMed
61. Dötsch, V (2011) How to create a specific recognition for an unspecific interaction. Structure 19, 601602.Google Scholar
62. Oczypok, EA, Perkins, TN & Oury, TD (2017) All the ‘RAGE’ in lung disease: the receptor for advanced glycation endproducts (RAGE) is a major mediator of pulmonary inflammatory responses. Paediatr Respir Rev 23, 4049.Google Scholar
63. Martinez-Saez, N, Fernandez-Gomez, B, Cai, W, et al. (2017) In vitro formation of Maillard reaction products during simulated digestion of meal-resembling systems. Food Res Int (Epublication ahead of print version 21 September 2017).Google Scholar
64. Iribarren, C, Tolstykh, IV, Miller, MK, et al. (2012) Adult asthma and risk of coronary heart disease, cerebrovascular disease, and heart failure: a prospective study of 2 matched cohorts. Am J Epidemiol 176, 10141024.CrossRefGoogle ScholarPubMed
65. Patel, MR, Janevic, MR, Heeringa, SG, et al. (2013) An examination of adverse asthma outcomes in U.S. Adults with multiple morbidities. Ann Am Thorac Soc 10, 426431.Google Scholar
66. Song, Y, Klevak, A, Manson, JE, et al. (2010) Asthma, chronic obstructive pulmonary disease, and type 2 diabetes in the Women’s Health Study. Diabetes Res Clin Pract 90, 365371.Google Scholar
67. DeChristopher, LR, Uribarri, J & Tucker, KL (2016) Intake of high-fructose corn syrup sweetened soft drinks, fruit drinks and apple juice is associated with prevalent arthritis in US adults, aged 20–30 years. Nutr Diabetes 6, e199.Google Scholar
68. DeChristopher, LR, Uribarri, J & Tucker, KL (2017) Intake of high fructose corn syrup sweetened soft drinks, fruit drinks and apple juice is associated with prevalent coronary heart disease, in US adults, ages 45–59 y. BMC Nutr 3, 51.Google Scholar
69. DeChristopher, LR (2017) Perspective: the paradox in dietary advanced glycation end-products research: the source of the elevated serum and urinary AGEs is the intestines, not the food. Adv Nutr 8, 679683.Google Scholar
70. Oliveira, V & Frazao, E (2015) The WIC Program: Background, Trends, and Economic Issues, 2015 Edition. Economic Information Bulletin no. 134. Washington, DC: US Department of Agriculture, Economic Research Service. https://www.aap.org/en-us/advocacy-and-policy/federal-advocacy/Documents/USDAWIC2015Report.pdf (accessed February 2018).Google Scholar
71. US Department of Agriculture Food and Nutrition Service (2011) WIC Food Packages Policy Options Study Final Report. Report no. WIC-11-FOOD. US Department of Agriculture Food and Nutrition Service, Nutrition Assistance Program Report Series, Office of Research and Analysis, Special Nutrition Programs, June. http://www.fns.usda.gov/sites/default/files/WICFoodPackageOptions.pdf (accessed February 2018).Google Scholar
72. Akinbami, LJ, Simon, AE & Rossen, LM (2016) Changing trends in asthma prevalence among children. Pediatrics 137, 1–7.Google Scholar
73. Wright, LS, Rifas-Shiman, SL, Oken, E, et al. (2018) Prenatal and early-life fructose, fructose-containing beverages, and mid-childhood asthma. Ann Am Thorac Soc 15, 217–224.CrossRefGoogle Scholar
74. Akinbami, LJ, Rossen, LM, Fakhouri, THI, et al. (2017) Asthma prevalence trends by weight status among US children aged 2–19 years, 1988–2014. Pediatr Obes (Epublication ahead of print version 12 November 2017).Google Scholar
75. Cisneros, R, Gonzalez, M, Brown, P, et al. (2016) Soda consumption and hospital admissions among Californian adults with asthma. J Asthma 5, 15.Google Scholar
76. Walker, RW, , KA, Davis, J, et al. (2012) High rates of fructose malabsorption are associated with reduced liver fat in obese African Americans. J Am Coll Nutr 31, 369374.Google Scholar
Figure 0

Table 1 Baseline characteristics of adults aged 24–72 years in the Framingham Offspring Cohort – 1984* (Mean values and standard deviations)

Figure 1

Table 2 Baseline characteristics of participants by beverage intake frequency in the Framingham Offspring Cohort

Figure 2

Table 3 Asthma risk according to beverage consumption in adults, the Framingham Offspring Cohort (Hazard ratios (HR) and 95 % confidence intervals)

Figure 3

Table 4 Asthma risk (fully adjusted) by consumption of high-fructose corn syrup (HFCS)-sweetened soft drinks, fruit drinks and apple juice (ttlEFF) in adults – The Framingham Offspring Cohort† (Hazard ratios (HR) and 95 % confidence intervals)

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