Literature DB >> 29343517

Early Infant Diet and Islet Autoimmunity in the TEDDY Study.

Ulla Uusitalo, Hye-Seung Lee, Carin Andrén Aronsson, Kendra Vehik, Jimin Yang, Sandra Hummel, Katherine Silvis, Åke Lernmark, Marian Rewers, William Hagopian, Jin-Xiong She, Olli Simell, Jorma Toppari, Anette-G Ziegler, Beena Akolkar, Jeffrey Krischer, Suvi M Virtanen, Jill M Norris.   

Abstract

OBJECTIVE: To examine duration of breastfeeding and timing of complementary foods and risk of islet autoimmunity (IA). RESEARCH DESIGN AND METHODS: The Environmental Determinants of Diabetes in the Young (TEDDY) study prospectively follows 8,676 children with increased genetic risk of type 1 diabetes (T1D) in the U.S., Finland, Germany, and Sweden. This study included 7,563 children with at least 9 months of follow-up. Blood samples were collected every 3 months from birth to evaluate IA, defined as persistent, confirmed positive antibodies to insulin (IAAs), GAD, or insulinoma antigen-2. We examined the associations between diet and the risk of IA using Cox regression models adjusted for country, T1D family history, HLA genotype, sex, and early probiotic exposure. Additionally, we investigated martingale residuals and log-rank statistics to determine cut points for ages of dietary exposures.
RESULTS: Later introduction of gluten was associated with increased risk of any IA and IAA. The hazard ratios (HRs) for every 1-month delay in gluten introduction were 1.05 (95% CI 1.01, 1.10; P = 0.02) and 1.08 (95% CI 1.00, 1.16; P = 0.04), respectively. Martingale residual analysis suggested that the age at gluten introduction could be grouped as <4, 4-9, and >9 months. The risk of IA associated with introducing gluten before 4 months of age was lower (HR 0.68; 95% CI 0.47, 0.99), and the risk of IA associated with introducing it later than the age of 9 months was higher (HR 1.57; 95% CI 1.07, 2.31) than introduction between 4 and 9 months of age.
CONCLUSIONS: The timing of gluten-containing cereals and IA should be studied further.
© 2018 by the American Diabetes Association.

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Year:  2018        PMID: 29343517      PMCID: PMC5829968          DOI: 10.2337/dc17-1983

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   17.152


Introduction

The interplay between genes and environmental factors, such as diet, has been hypothesized to play an important role in triggering type 1 diabetes (T1D) (1,2), the incidence of which continues to increase globally (3). The ability of breast milk to provide the required nutrients becomes limited among older infants. Therefore, timely introduction of complementary foods is essential for the baby’s well-being and growth (4). To examine certain infant feeding practices, several studies have been carried out in populations with genetically increased T1D risk by focusing on an arbitrary chosen age range in relation to islet autoimmunity (IA) and/or T1D. It has been reported that a shorter duration of breastfeeding (5–7), certain “age windows” (≤3 and ≥7 months vs. 4–6 months) for introducing cereals (8,9), as well as early (<3–4 months) exposure to cow’s milk (10,11), gluten-containing cereals (12,13), fruits and berries (9,14), and potatoes and root vegetables (14,15) may increase the risk of IA and/or T1D. However, a recent study (16) showed that this association between age at introduction of complementary foods and IA may decrease/disappear when the follow-up is extended, including older children. The association between the timing of food introduction and IA remains inconclusive because of inconsistent results (17). Types of early foods linked to IA/T1D seem to vary at least partly by country. The mechanisms linking early feeding practices and the development of IA/T1D are not very well known, but those suggested to play a crucial role include immature and adverse immunological responses of the gut to complementary food (18,19), mucosal inflammation, and increased gut permeability (20,21). This study aims to examine breastfeeding duration and the timing of initiating infant formula, regular cow’s milk, and solid food in relation to the risk of IA in The Environmental Determinants of Diabetes in the Young (TEDDY) study. We investigated the overall association between those dietary exposures and the risk of IA. To our knowledge, this is the first attempt to analyze these dietary exposures without a predetermined categorization. Additionally, we examined whether a categorization of breastfeeding duration or age at initiating a food is statistically justified based on the association with the risk of IA in TEDDY.

Research Design and Methods

Study Population

TEDDY is a prospective observational cohort with the primary aim to identify environmental causes of T1D. The study includes the following six clinical research centers: three in the U.S. (Colorado, Georgia/Florida, and Washington) and three in Europe (Finland, Germany, and Sweden). A total of 424,788 newborns were screened in hospitals affiliated with the study centers between September 2004 and February 2010, identifying 21,589 HLA-eligible infants. The HLA typing has been previously described in detail (22–24). Of the 8,676 enrolled subjects, 8,263 singleton babies were identified carrying one of the eligible HLA types with determined IA status. Of those, we included 7,572 subjects who were followed for at least 9 months to obtain complete information on the duration of breastfeeding and the timing of the introduction of complementary foods. After excluding nine subjects who lacked information on early feeding, a total of 7,563 children were analyzed in this study. Their median (Q3–Q1) follow-up time was 92 months (114–54). Written informed consent was obtained for all children in the study from a parent or primary caretaker, separately, for genetic screening and participation in prospective follow-up. The study was approved by local institutional review or ethics boards and was monitored by an External Evaluation Committee formed by the National Institutes of Health.

IA

Blood samples using serum separation tubes were drawn every 3 months between 3 and 48 months of age and every 6 months thereafter, unless the autoantibodies developed in the child, in which case the child continued to be followed, including blood draws every 3 months. Serum was stored in two 0.5-mL cryovials for autoantibody measurements and were frozen within 2 h from collection. Persistent IA (any IA) was defined as confirmed positive insulin autoantibodies (IAAs), GAD antibody (GADA), specifically to isoform GAD65, or insulinoma antigen-2 autoantibody, which were analyzed by radiobinding assays (25,26) on at least two consecutive study visits. All positive and 5% of negative islet autoantibodies were confirmed in the following central autoantibody laboratories: Barbara Davis Center for Childhood Diabetes, University of Colorado, in the U.S. and University of Bristol in the U.K., which both previously have found high sensitivity and specificity (27) and concordance. Positive results due to maternal IgG transmission when defining the child’s IA status were omitted from the IA-positive group. The date of persistent IA was defined as the draw date of the first of two consecutive samples confirmed positive for a specific autoantibody, with which the child was deemed persistent. In addition to any IA, we separately studied children who had either IAAs alone or GADAs alone as their first appearing autoantibody. The median age (Q3–Q1) of children at IA seroconversion was 33 months (62–16) (n = 703). The median (Q3–Q1) values were 21 months (40–11) for IAAs (n = 272) and 46 months (77–25) for GADAs (n = 299), respectively.

Characteristics, Diet, and Health Monitoring of the Study Population

Demographic characteristics, family history of diabetes, and infant feeding practices were obtained from various questionnaires and have been explained previously (28). Information about infant feeding (breastfeeding and food introductions) was recorded by parents in a diary (“TEDDY Book”) at home and collected every 3 months during the clinic visits or over the phone starting at 3 months of age. This information was recorded in the TEDDY Book until the clinic visit at 24 months except for any breastfeeding, which was followed up to 5 years of age. If the breastfeeding duration was >5 years, the child was not introduced to a complementary food by 24 months of age, or the correct timing of food introduction was not available, the information was regarded as unknown. The duration of breastfeeding that corresponded to the age when breastfeeding ended (exclusive and any) and the ages at which consumption of infant formula and solid foods started were examined in relation to IA. A baby was considered to be exclusively breastfed when his/her diet included only breast milk and possibly small amounts of non-nutritious drinks (e.g., water). Any breastfeeding could also be accompanied by other foods in the diet. The infant formula in this study included the following: commercial infant formulas that contain intact cow’s milk proteins or cow’s milk proteins hydrolyzed to any degree, soy formula, elemental formula, regular cow’s milk and other animals’ milks, and vegetarian “milks.” The solid foods that were studied separately in this study included the following: any type of cereal (wheat, rye, barley, oat, rice, or any other nongluten cereal), gluten-containing cereals (wheat, rye, and barley), rice, potatoes, root vegetables, fruits and berries, meat (beef, pork, game, and/or poultry), eggs, fish, and other seafood (Table 1). In addition to these foods, the “any solid food” included milk products (e.g., cheese, yogurt), sausages, and various vegetables. The age at the introduction of any solid food was defined as the earliest time when any of the aforementioned solid foods were introduced. “Selected foods” included foods found to be associated with IA/T1D in the earlier studies, as follows: cereals (IA), including rice/oat (T1D) and gluten-containing cereals (IA); potatoes (IA); root vegetables (IA); fruits and berries (IA/T1D); and eggs (IA) (8,9,12,14,15).
Table 1

Description of foods and food groups studied in relation to the risk of IA

Dietary Exposures
Breastfeeding and food exposures that were each studied separatelySelected foods: foods associated with IA in previous studies; they were studied as one combined variableAny solid food: all solid foods that were studied as one combined variable
Exclusive breastfeeding
Any breastfeeding
Infant formula
Cow’s milk (any cow’s milk exposure)
All cerealsAll cerealsAll cereals
Gluten-containing cerealsGluten-containing cerealsGluten-containing cereals
RiceRiceRice
Fruits and berriesFruits and berriesFruits and berries
PotatoesPotatoesPotatoes
Root vegetablesRoot vegetablesRoot vegetables
Meat (beef, pork, poultry, game)Meat (beef, pork, poultry, game)
Fish and seafoodFish and seafood
EggEggEgg
Milk products (yogurt, sour cream, cheese, commercial baby foods containing yogurt, cottage cheese)
Spinach
Peas, green beans
Cabbages (Chinese cabbage, red cabbage, cauliflower, broccoli, kale, cabbage turnip, collard, mustard green, turnip greens)
Squash, pumpkin
Tomato, tomato sauce
Corn
Other vegetable
Sausage, hot dogs

Variables studied are shown in bold.

Description of foods and food groups studied in relation to the risk of IA Variables studied are shown in bold.

Statistical Analysis

Cox proportional hazards models were used to study the association between dietary exposures (duration of breastfeeding and age of initiating a food, as defined above) and the risk of IA, after adjusting for country, T1D family history (first-degree relative [FDR]), sex of the child, HLA (DR3/4 vs. other genotypes), and exposure to probiotics at <28 days of age. Time of seroconversion was the age when the first blood sample for persistent IA was drawn. Time for right censoring was the age when the last blood sample in the follow-up was determined to be negative for IA. A proportional cause-specific hazard model for first-appearing IAA or first-appearing GADA was used by treating events other than the one of interest as censored observations. In each risk set, including those who experienced the event of interest and those who were event free by a certain age, the age of initiating consumption of a food was analyzed in those who had initiated consumption of the food at an age younger than that of the risk set. The functional form of each dietary exposure and IA association was explored by plotting martingale residuals with a loess smoothing parameter of 0.4. Additionally, we applied the change-point method, based on the log-rank statistic, in order to find a cut point for each dietary exposure dichotomization in relation to the risk of IA (29). Two-sided P values <0.05 were considered to determine a statistical significance. All analyses were performed using the Statistical Analysis System Software (version 9.4; SAS Institute, Cary, NC).

Results

Characteristics and potential confounders associated with risk of any IA are presented in Table 2. After adjusting for those factors, we found that later introduction of gluten-containing cereals was associated with increased risk of any IA (hazard ratio [HR] for 1-month delay 1.05; 95% CI 1.01, 1.10; P = 0.02) and with increased risk of IAA (HR for 1-month delay 1.08; 95% CI 1.00, 1.16; P = 0.04) (Table 3). When examining the durations of exclusive breastfeeding and any breastfeeding, the timing of any infant formula, the timing of single foods other than gluten-containing cereals, or any solid food introduction as a combined variable of exposures of solid foods, we could not detect any association between them and the risk of outcomes (Table 3). There were 959 children (12.7%) who moved straight from breast milk to solid food (e.g., milk-based thin porridges) and therefore had no values for age of introduction of infant formula.
Table 2

Characteristics associated with any IA

Study population,Any IA (N = 703)
IAA (N = 272)
GADA (N = 299)
NN (%)HR (95% CI)P valueN (%)HR (95% CI)P valueN (%)HR (95% CI)P value
Country
 Finland1,654180 (25.6)1.40 (1.15, 1.71)<0.00189 (32.7)2.28 (1.67, 3.11)<0.001110 (36.8)1.00 (0.72, 1.39)0.999
 Germany51054 (7.7)1.30 (0.96, 1.76)0.09220 (7.4)1.36 (0.82, 2.25)0.23460 (20.1)0.82 (0.47, 1.42)0.471
 Sweden2,283240 (34.1)1.30 (1.08, 1.56)0.00583 (30.5)1.38 (1.02, 1.89)0.03915 (5.0)1.25 (0.96, 1.62)0.103
 U.S.3,116229 (32.6)180 (29.4)1114 (38.1)1
High-risk HLA genotype (DR3/4)
 Yes2,956344 (48.9)1.61 (1.38, 1.88)<0.001128 (47.1)1.54 (1.21, 1.96)<0.001150 (50.2)1.65 (1.31, 2.07)<0.001
 No4,607359 (51.1)1144 (52.9)1149 (49.8)1
FDR with T1D
 Yes857136 (19.4)1.99 (1.64, 2.43)<0.00158 (21.3)2.32 (1.71, 3.15)<0.00152 (17.4)1.85 (1.36, 2.53)<0.001
 No6,706567 (80.6)1214 (78.7)1247 (82.6)1
Sex of the child
 Female3,698322 (45.8)0.87 (0.75, 1.00)0.056152 (44.1)0.81 (0.64, 1.03)0.079144 (48.2)0.95 (0.76, 1.19)0.661
 Male3,865381 (54.2)1120 (55.9)1155 (51.8)1
Probiotics, age at first exposure
 <28 days53841 (5.8)0.70 (0.50, 0.97)0.02215 (5.5)0.53 (0.31, 0.91)0.02115 (5.0)0.72 (0.42, 1.24)0.237
 ≥28 days7,025662 (94.2)1257 (94.5)1284 (95.0)1
Table 3

Association of timing of dietary exposures with the risk of IA (any IA, IAA, or GADA)

Dietary exposureIADuration of breastfeeding or age at introduction of food (months)
HR (95% CI)*P value*
Among those who developed autoantibodies
Among those who did not develop autoantibodies
NNot breastfed or food was not introduced by the end of follow-up (%)Mean (SD)NNot breastfed or food was not introduced by the end of follow-up (%)Mean (SD)
Exclusive breastfeedingAny IA70301.3 (1.9)6,86001.2 (1.8)1.00 (0.96, 1.04)0.980
IAA2721.4 (1.9)7,2911.2 (1.8)1.01 (0.95, 1.07)0.763
GADA2991.3 (1.9)7,2641.2 (1.8)1.01 (0.95, 1.07)0.810
Any breastfeedingAny IA6941.38.4 (7.3)6,6173.57.4 (6.4)1.01 (1.00, 1.02)0.118
IAA2708.5 (6.7)7,0417.5 (6.5)1.01 (0.99, 1.03)0.205
GADA2948.6 (8.2)7,0177.4 (6.5)1.01 (1.00, 1.03)0.123
Any infant formulaAny IA59814.91.2 (2.5)6,00612.41.2 (2.3)0.99 (0.96, 1.02)0.522
IAA2351.4 (2.7)6,3691.2 (2.3)1.02 (0.96, 1.05)0.574
GADA2571.3 (2.5)6,3471.2 (2.3)1.01 (0.96, 1.06)0.696
Cow’s milkAny IA7010.32.1 (3.1)6,8240.51.8 (2.8)1.01 (0.98, 1.04)0.474
IAA2702.2 (3.2)7,2551.8 (2.8)1.02 (0.98, 1.07)0.301
GADA2992.0 (3.0)7,2261.9 (2.8)1.01 (0.97, 1.05)0.613
Any solid foodAny IA7010.33.6 (1.4)6,8390.33.5 (1.4)1.03 (0.97, 1.09)0.384
IAA2723.5 (1.4)7,2683.5 (1.4)0.99 (0.90, 1.08)0.757
GADA2973.7 (1.3)7,2433.5 (1.4)1.07 (0.97, 1.17)0.159
Selected foodsAny IA7010.33.7 (1.3)6,8380.33.6 (1.4)1.03 (0.97, 1.09)0.368
IAA2723.6 (1.3)7,2673.6 (1.4)1.01 (0.91, 1.11)0.873
GADA2973.7 (1.3)7,2423.6 (1.4)1.00 (1.00, 1.01)0.118
Cereals, anyAny IA6990.64.4 (1.4)6,8100.74.2 (1.4)1.03 (0.97, 1.10)0.330
IAA2714.4 (1.4)7,2384.2 (1.4)1.01 (0.91, 1.14)0.789
GADA2964.3 (1.3)7,2134.2 (1.4)1.03 (0.94, 1.14)0.525
Gluten-containing cerealsAny IA6990.65.8 (2.1)6,7082.25.7 (2.0)1.05 (1.01, 1.10)0.023
IAA2715.9 (2.1)7,1365.7 (2.0)1.08 (1.00, 1.16)0.038
GADA2965.8 (2.0)7,1115.7 (2.0)1.06 (0.99, 1.13)0.121
RiceAny IA6990.65.0 (1.9)6,7551.54.8 (1.8)1.02 (0.97, 1.07)0.445
IAA2715.1 (2.0)7,1834.8 (1.8)1.01 (0.93, 1.10)0.779
GADA2964.8 (1.7)7,1584.8 (1.8)1.00 (0.93, 1.08)0.936
Root vegetablesAny IA7010.34.3 (1.2)6,8060.84.3 (1.3)1.03 (0.96, 1.10)0.464
IAA2724.2 (1.2)7,2354.3 (1.3)1.00 (0.90, 1.12)0.942
GADA2974.4 (1.3)7,2104.3 (1.3)1.05 (0.95, 1.16)0.352
PotatoesAny IA6990.65.2 (2.2)6,6982.45.3 (2.4)1.05 (1.00, 1.10)0.051
IAA2715.1 (2.1)7,1265.3 (2.4)1.05 (0.97, 1.14)0.200
GADA2965.4 (2.4)7,1015.3 (2.3)1.06 (0.99, 1.13)0.116
Fruits or berriesAny IA7000.44.3 (1.4)6,8060.84.2 (1.5)1.04 (0.98, 1.10)0.167
IAA2724.3 (1.5)7,2344.2 (1.5)1.04 (0.95, 1.14)0.372
GADA2964.4 (1.4)7,2104.2 (1.5)1.05 (0.96, 1.14)0.315
MeatAny IA6921.66.0 (1.8)6,6762.76.1 (2.0)1.02 (0.97, 1.08)0.457
IAA2696.0 (1.7)7,0996.1 (2.0)1.03 (0.94, 1.12)0.564
GADA2926.1 (2.0)7,0766.1 (2.0)1.04 (0.96, 1.12)0.364
EggAny IA6842.78.9 (2.5)6,4585.98.7 (2.5)1.02 (0.99, 1.05)0.288
IAA2668.9 (2.7)6,8768.7 (2.5)1.00 (0.95, 1.06)0.878
GADA2908.9 (2.4)6,8528.7 (2.5)1.04 (0.99, 1.09)0.140
Fish or other seafoodAny IA6625.88.6 (3.6)6,2109.58.6 (3.6)1.01 (0.98, 1.04)0.537
IAA2568.5 (3.8)6,6168.6 (3.6)0.99 (0.94, 1.05)0.810
GADA2808.7 (3.6)6,5928.6 (3.6)1.03 (0.98, 1.08)0.258

*HR and corresponding P value were obtained from the Cox regression model adjusted for country, HLA genotype, FDR status, sex of the child, and probiotic use <28 days. HRs reflect the change in the risk with 1-month longer breastfeeding or 1-month delay in food introduction.

Characteristics associated with any IA Association of timing of dietary exposures with the risk of IA (any IA, IAA, or GADA) *HR and corresponding P value were obtained from the Cox regression model adjusted for country, HLA genotype, FDR status, sex of the child, and probiotic use <28 days. HRs reflect the change in the risk with 1-month longer breastfeeding or 1-month delay in food introduction. The martingale residual analysis showed changes in the association between age of introduction of gluten-containing cereals and the risk of any IA. There was an increasing trend of risk between 0 and 4 months, a plateau from 4 to 9 months, and increasing risk again at introductions from 9 months on (Supplementary Fig. 1). The application of the change-point method revealed a significant dichotomization in the duration of any breastfeeding (at 7 months of age with any IA and at 6 months of age with GADA), age of introducing cow’s milk (at 5 months of age with any IA), cereals (at 4 months of age with any IA), rice (at 7 months of age with any IA and at 6 months of age with GADA), fruits and berries (at 4 months of age with any IA), potato (at 4 months of age with any IA), meat (at 8 months of age with any IA), egg (at 9 months of age with any IA), and fish and seafood (at 9 months of age with GADA). We applied the data-driven categorizations of dietary exposures in evaluating the risk of IA. When compared with the introduction at 4–9 months of age (Supplementary Fig. 1), introduction of gluten-containing cereals before 4 months of age showed decreased risk of any IA (HR 0.68; 95% CI 0.47, 0.99) but increased risk of any IA (HR 1.57; 95% CI 1.07, 2.31) if introduced after 9 months of age. The HRs remained similar in the introduction of gluten-containing cereals before 4 months of age when adjusted for country of residence, HLA, FDR with T1D, sex of the child, and early exposure to probiotics (HR 0.67; 95% CI 0.54, 0.98; P = 0.04). When the dichotomizations were applied, the risk difference between the two timing categories of duration of breastfeeding and food introductions was not very noticeable. However, the introduction of egg at or before 9 months of age showed consistently lower risk of any IA compared with introduction after 9 months of age both in the unadjusted analysis (HR 0.86; 95% CI 0.74, 0.99) and in the adjusted analysis (HR 0.84; 95% CI 0.72, 0.99) (Table 4).
Table 4

Categorized duration of breastfeeding and timing of introduction of complementary foods and risk of IA (any IA or GADA)

IADietary exposure*Timing in months*Number of children who developed any IA or GADA, N (%)Number of children who did not develop any IA or GADA, N (%)Unadjusted HR (95% CI)P valueAdjusted HR (95% CI)P value
Any IAGluten-containing cereals<428 (6)445 (94)0.68 (0.47, 0.99)0.0470.67 (0.54, 0.98)0.037
4–9637 (10)6,048 (90)11
>931 (14)185 (86)1.57 (1.07, 2.31)0.0221.44 (0.97, 2.16)0.074
Any breastfeeding≤7334 (9)3,575 (91)0.93 (0.80, 1.08)0.3260.94 (0.81, 1.09)0.426
>7360 (11)3,042 (89)11
Cow’s milk≤5584 (10)5,922(91)0.83 (0.68, 1.00)0.0550.85 (0.69, 1.04)0.115
>5117 (11)902 (89)11
Cereals≤4483 (9)4,765 (91)0.99 (0.85, 1.17)0.9451.09 (0.92, 1.30)0.309
>4216 (10)2,045 (90)11
Rice≤7618 (9)6,196 (91)0.79 (0.63, 0.99)0.0460.87 (0.69, 1.10)0.233
>775 (13)502 (87)11
Fruit and berries≤4460 (9)4,552 (91)0.99 (0.85, 1.15)0.8681.00 (0.85, 1.18)0.999
>4240 (10)2,254 (90)11
Potato≤7578 (10)5,345 (90)1.19 (0.98, 1.45)0.0770.98 (0.77, 1.25)0.898
>7121 (8)1,353 (92)11
Meat≤8615 (10)5,762 (90)1.27 (1.01, 1.59)0.0401.13 (0.88, 1.45)0.344
>877 (8)914 (92)11
Egg≤9282 (9)3,002 (91)0.86 (0.74, 0.99)0.0450.84 (0.72, 0.99)0.035
>9402 (10)3,456 (90)11
GADAAny breastfeeding≤6120 (3)3,476 (97)1.20 (0.95, 1.52)0.1261.17 (0.92, 1.49)0.196
>6174 (5)3,541 (95)11
Rice≤6264 (4)6,435 (96)1.25 (0.87, 1.78)0.2241.10 (0.76, 1.58)0.623
>628 (4)664 (96)11
Fish and seafood≤9188 (4)4,538 (96)0.88 (0.70, 1.12)0.2901.11 (0.81, 1.53)0.507
>992 (4)2,054 (96)11

*Dietary exposure: timing of breastfeeding or food; categorization of timing of gluten-containing cereals’ introductions was based on martingale residuals whereas dichotomizations of timing of other dietary exposures in relation to the risk of any IA or GADA were based on change-point methods using log-rank test (28); only statistically significant (P < 0.05) cut points are shown. No statistically significant cut point of timing of a dietary exposure for IAA was detected.

†The Cox regression model was adjusted for country, HLA genotype, FDR status, sex of the child, and probiotic use <28 days.

Categorized duration of breastfeeding and timing of introduction of complementary foods and risk of IA (any IA or GADA) *Dietary exposure: timing of breastfeeding or food; categorization of timing of gluten-containing cereals’ introductions was based on martingale residuals whereas dichotomizations of timing of other dietary exposures in relation to the risk of any IA or GADA were based on change-point methods using log-rank test (28); only statistically significant (P < 0.05) cut points are shown. No statistically significant cut point of timing of a dietary exposure for IAA was detected. †The Cox regression model was adjusted for country, HLA genotype, FDR status, sex of the child, and probiotic use <28 days.

Conclusions

Data from the multinational prospective TEDDY Study suggests that later introduction of gluten-containing cereals is associated with increased risk of any IA and IAA. The residual plot suggested a plateau in risk at introduction between 4 and 9 months of age, and the results from categorized analysis supported that, as well as the overall finding that later introduction of gluten-containing cereals is associated with increased risk of IA. The major strength of the study was its consistently collected data using the same protocol and questionnaires across four TEDDY countries. Including larger geographical areas in the study made it possible to consider the importance of varying feeding habits. Additionally, both continuous and statistically derived categorized exposures were used in the investigation of associations. As a limitation, we did not record the amounts of the introduced food or count the initial frequency of feeding the new food. Thus, the cumulative exposure of a new food or foods was not possible to study. When studying introductions of solid foods, we found that later introduction of gluten-containing cereals was associated with increased risk of IA. Later introduction of foods into a diet overall may be associated with larger initial amounts of food given to the children. Larger amounts can be challenging to their immature immune system and can therefore hamper the development of tolerance to foreign antigens. Very few studies have investigated the amounts of food at early age and a risk of disease. Aronsson et al. (30) suggested that a larger amount of gluten consumed during the first 2 years of life was associated with increased risk of celiac disease. However, we did not study the amounts of foods given in this study. A positive association between the early introduction of gluten-containing foods (<3 months vs. later introduction with exclusive breastfeeding until 3 months of age) (12), as well as early (≤3 months vs. 4–6 months) and late (≥7months vs. 4–6 months) introductions of any cereals (8), and the risk of IA has been reported among children with increased risk of T1D. Our results did not support the finding related to early gluten introduction and the risk of IA by Ziegler et al. (12). The preferred first solid foods varies among the countries, for example, cereals in the U.S. and fruits, potato, and root vegetables in Finland (28). It appears that the first solid food a child consumed was most often associated with IA risk (8,14,15). This could be interpreted in a way that the type of complementary food first introduced may be of less importance to the disease risk than the timing of introduction of any first solid food. However, we did not observe an association between any first solid food consumed, as defined in Table 1, and IA in the TEDDY cohort. The finding related to early introduction (≤9 months vs. at a later age) of egg and decreased risk of IA contradicted the finding by Virtanen et al. (15), who suggested that the early introduction of egg (<8 months vs. later) was linked to increased risk of IA during the first 3 years of life. In a recent study in the same population (16), this association was no longer found after children older than 3 years of age were included in the analysis. However, the association in the current study was quite weak, and no association was observed when the egg exposure was investigated as a continuous variable. Our findings related to the timing of gluten-containing cereals and egg are not consistent with the findings from earlier studies, and the reasons for that can be speculated. Previous studies have been carried out in populations within small geographical areas. The type and timing of first complementary foods as well as the length of the follow-up have varied between the study populations. Moreover, timing has been studied using arbitrary categorization of dietary exposures. There have been differences in the use of dietary supplements (28,31) as well as in types of infant formula (32). Variations in HLA genotype eligibility between the studies may also have contributed to the discrepant findings. It is important to recognize that infant feeding habits change over time. New types of processed foods and dietary supplements are continuously adopted. Use of probiotics during the first year of life has become more common among children in the TEDDY study (31), and they are often given concurrently with new solid foods. Wheat is the main source of gluten in an infant diet (30) and is also an important source of prebiotics (9). Early exposure of both probiotics and prebiotics in gluten-containing cereals like wheat may provide a favorable base for beneficial gut microbiota. However, the role of dietary gluten and wheat in the etiology of T1D remains controversial in animal models (33–35). It has been suggested that wheat may result in mimicry-induced autoimmune disorders given that its peptide sequence is similar to that of human tissue, such as human islet cell tissue (36). This was the first international study where duration of breastfeeding and timing of the introduction of new foods and their relationship with T1D-related autoantibodies were studied. Overall, we could not confirm the previously published findings between early infant feeding and the risk of IA. Nevertheless, the timing of gluten-containing cereals and the appearance of islet autoantibodies should be studied further. New dietary recommendations for early infant feeding cannot be made based on the current results.
  35 in total

1.  Gluten-free diet prevents diabetes in NOD mice.

Authors:  D P Funda; A Kaas; T Bock; H Tlaskalová-Hogenová; K Buschard
Journal:  Diabetes Metab Res Rev       Date:  1999 Sep-Oct       Impact factor: 4.876

2.  Harmonization of glutamic acid decarboxylase and islet antigen-2 autoantibody assays for national institute of diabetes and digestive and kidney diseases consortia.

Authors:  Ezio Bonifacio; Liping Yu; Alastair K Williams; George S Eisenbarth; Polly J Bingley; Santica M Marcovina; Kerstin Adler; Anette G Ziegler; Patricia W Mueller; Desmond A Schatz; Jeffrey P Krischer; Michael W Steffes; Beena Akolkar
Journal:  J Clin Endocrinol Metab       Date:  2010-05-05       Impact factor: 5.958

3.  Infant feeding in relation to islet autoimmunity and type 1 diabetes in genetically susceptible children: the MIDIA Study.

Authors:  Nicolai A Lund-Blix; Lars C Stene; Trond Rasmussen; Peter A Torjesen; Lene F Andersen; Kjersti S Rønningen
Journal:  Diabetes Care       Date:  2014-11-24       Impact factor: 19.112

4.  Age at introduction of new foods and advanced beta cell autoimmunity in young children with HLA-conferred susceptibility to type 1 diabetes.

Authors:  S M Virtanen; M G Kenward; M Erkkola; S Kautiainen; C Kronberg-Kippilä; T Hakulinen; S Ahonen; L Uusitalo; S Niinistö; R Veijola; O Simell; J Ilonen; M Knip
Journal:  Diabetologia       Date:  2006-04-05       Impact factor: 10.122

Review 5.  Complementary feeding: a commentary by the ESPGHAN Committee on Nutrition.

Authors:  Carlo Agostoni; Tamas Decsi; Mary Fewtrell; Olivier Goulet; Sanja Kolacek; Berthold Koletzko; Kim Fleischer Michaelsen; Luis Moreno; John Puntis; Jacques Rigo; Raanan Shamir; Hania Szajewska; Dominique Turck; Johannes van Goudoever
Journal:  J Pediatr Gastroenterol Nutr       Date:  2008-01       Impact factor: 2.839

6.  Children with newly diagnosed insulin dependent diabetes mellitus have increased levels of cow's milk antibodies.

Authors:  E Savilahti; H K Akerblom; V M Tainio; S Koskimies
Journal:  Diabetes Res       Date:  1988-03

7.  Early introduction of dairy products associated with increased risk of IDDM in Finnish children. The Childhood in Diabetes in Finland Study Group.

Authors:  S M Virtanen; L Räsänen; K Ylönen; A Aro; D Clayton; B Langholz; J Pitkäniemi; E Savilahti; R Lounamaa; J Tuomilehto
Journal:  Diabetes       Date:  1993-12       Impact factor: 9.461

8.  The Environmental Determinants of Diabetes in the Young (TEDDY): genetic criteria and international diabetes risk screening of 421 000 infants.

Authors:  William A Hagopian; Henry Erlich; Ake Lernmark; Marian Rewers; Anette G Ziegler; Olli Simell; Beena Akolkar; Robert Vogt; Alan Blair; Jorma Ilonen; Jeffrey Krischer; JinXiong She
Journal:  Pediatr Diabetes       Date:  2011-05-12       Impact factor: 3.409

9.  The Impact of Diet Wheat Source on the Onset of Type 1 Diabetes Mellitus-Lessons Learned from the Non-Obese Diabetic (NOD) Mouse Model.

Authors:  Jonathan Gorelick; Ludmila Yarmolinsky; Arie Budovsky; Boris Khalfin; Joshua D Klein; Yosi Pinchasov; Maxim A Bushuev; Tatiana Rudchenko; Shimon Ben-Shabat
Journal:  Nutrients       Date:  2017-05-10       Impact factor: 5.717

10.  Effects of Gluten Intake on Risk of Celiac Disease: A Case-Control Study on a Swedish Birth Cohort.

Authors:  Carin Andrén Aronsson; Hye-Seung Lee; Sibylle Koletzko; Ulla Uusitalo; Jimin Yang; Suvi M Virtanen; Edwin Liu; Åke Lernmark; Jill M Norris; Daniel Agardh
Journal:  Clin Gastroenterol Hepatol       Date:  2015-11-25       Impact factor: 13.576

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  21 in total

Review 1.  Zonulin as a potential putative biomarker of risk for shared type 1 diabetes and celiac disease autoimmunity.

Authors:  Lauren K Wood Heickman; Mark D DeBoer; Alessio Fasano
Journal:  Diabetes Metab Res Rev       Date:  2020-03-31       Impact factor: 4.876

Review 2.  Type 1 diabetes-early life origins and changing epidemiology.

Authors:  Jill M Norris; Randi K Johnson; Lars C Stene
Journal:  Lancet Diabetes Endocrinol       Date:  2020-01-27       Impact factor: 32.069

Review 3.  Early-life factors contributing to type 1 diabetes.

Authors:  Maria E Craig; Ki Wook Kim; Sonia R Isaacs; Megan A Penno; Emma E Hamilton-Williams; Jennifer J Couper; William D Rawlinson
Journal:  Diabetologia       Date:  2019-08-27       Impact factor: 10.122

4.  Gluten Intake and Risk of Islet Autoimmunity and Progression to Type 1 Diabetes in Children at Increased Risk of the Disease: The Diabetes Autoimmunity Study in the Young (DAISY).

Authors:  Nicolai A Lund-Blix; Fran Dong; Karl Mårild; Jennifer Seifert; Anna E Barón; Kathleen C Waugh; Geir Joner; Ketil Størdal; German Tapia; Lars C Stene; Randi K Johnson; Marian J Rewers; Jill M Norris
Journal:  Diabetes Care       Date:  2019-02-22       Impact factor: 19.112

Review 5.  Epidemiology of Type 1 Diabetes.

Authors:  Joel A Vanderniet; Alicia J Jenkins; Kim C Donaghue
Journal:  Curr Cardiol Rep       Date:  2022-08-17       Impact factor: 3.955

Review 6.  Evidence and possible mechanisms of probiotics in the management of type 1 diabetes mellitus.

Authors:  Kodzovi Sylvain Dovi; Ousman Bajinka; Ishmail Conteh
Journal:  J Diabetes Metab Disord       Date:  2022-02-24

7.  Maternal food consumption during late pregnancy and offspring risk of islet autoimmunity and type 1 diabetes.

Authors:  Randi K Johnson; Roy Tamura; Nicole Frank; Ulla Uusitalo; Jimin Yang; Sari Niinistö; Carin Andrén Aronsson; Anette-G Ziegler; William Hagopian; Marian Rewers; Jorma Toppari; Beena Akolkar; Jeffrey Krischer; Suvi M Virtanen; Jill M Norris
Journal:  Diabetologia       Date:  2021-03-30       Impact factor: 10.460

8.  Characteristics of children diagnosed with type 1 diabetes before vs after 6 years of age in the TEDDY cohort study.

Authors:  Jeffrey P Krischer; Xiang Liu; Åke Lernmark; William A Hagopian; Marian J Rewers; Jin-Xiong She; Jorma Toppari; Anette-G Ziegler; Beena Akolkar
Journal:  Diabetologia       Date:  2021-07-22       Impact factor: 10.460

9.  Time-Resolved Autoantibody Profiling Facilitates Stratification of Preclinical Type 1 Diabetes in Children.

Authors:  David Endesfelder; Wolfgang Zu Castell; Ezio Bonifacio; Marian Rewers; William A Hagopian; Jin-Xiong She; Åke Lernmark; Jorma Toppari; Kendra Vehik; Alistair J K Williams; Liping Yu; Beena Akolkar; Jeffrey P Krischer; Anette-G Ziegler; Peter Achenbach
Journal:  Diabetes       Date:  2018-10-10       Impact factor: 9.337

Review 10.  The Environmental Determinants of Diabetes in the Young (TEDDY) Study: 2018 Update.

Authors:  Marian Rewers; Heikki Hyöty; Åke Lernmark; William Hagopian; Jin-Xiong She; Desmond Schatz; Anette-G Ziegler; Jorma Toppari; Beena Akolkar; Jeffrey Krischer
Journal:  Curr Diab Rep       Date:  2018-10-23       Impact factor: 5.430

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