Immune Netw. 2022 Apr;22(2):e17. English.
Published online Nov 12, 2021.
Copyright © 2022. The Korean Association of Immunologists
Original Article

Dietary Diversity during Early Infancy Increases Microbial Diversity and Prevents Egg Allergy in High-Risk Infants

Bo Ra Lee,1 Hye-In Jung,2 Su Kyung Kim,3,4 Mijeong Kwon,4 Hyunmi Kim,4 Minyoung Jung,5 Yechan Kyung,6 Byung Eui Kim,4,7 Suk-Joo Choi,8 Soo-Young Oh,8 Sun-Young Baek,9 Seonwoo Kim,9 Jaewoong Bae,10 Kangmo Ahn,3,4, and Jihyun Kim3,4,
    • 1Department of Pediatrics, Uijeongbu Eulji Medical Center, Eulji University School of Medicine, Uijeongbu 11749, Korea.
    • 2Department of Pediatrics, Nowon Eulji Medical Center, Eulji University School of Medicine, Seoul 01830, Korea.
    • 3Department of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.
    • 4Environmental Health Center for Atopic Diseases, Samsung Medical Center, Seoul 06351, Korea.
    • 5Department of Pediatrics, Kosin University Gospel Hospital, Kosin University School of Medicine, Busan 49267, Korea.
    • 6Department of Pediatrics, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon 51353, Korea.
    • 7Department of Pediatrics, National Jewish Health, Denver, CO 80206, USA.
    • 8Department of Obstetrics and Gynecology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.
    • 9Center for Biomedical Statistics, Samsung Medical Center, Seoul 06351, Korea.
    • 10R&D Institute, BioEleven Co., Ltd., Seoul 06142, Korea.
Received September 17, 2021; Revised October 27, 2021; Accepted October 29, 2021.

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

We aimed to investigate associations of dietary diversity (DD) with gut microbial diversity and the development of hen's egg allergy (HEA) in infants. We enrolled 68 infants in a high-risk group and 32 infants in a control group based on a family history of allergic diseases. All infants were followed from birth until 12 months of age. We collected infant feeding data, and DD was defined using 3 measures: the World Health Organization definition of minimum DD, food group diversity, and food allergen diversity. Gut microbiome profiles and expression of cytokines were evaluated by bacterial 16S rRNA sequencing and real-time reverse transcriptase-polymerase chain reaction. High DD scores at 3 and 4 months were associated with a lower risk of developing HEA in the high-risk group, but not in the control group. In the high-risk group, high DD scores at 3, 4, and 5 months of age were associated with an increase in Chao1 index at 6 months. We found that the gene expression of IL-4, IL-5, IL-6, and IL-8 were higher among infants who had lower DD scores compared to those who had higher DD scores in high-risk infants. Additionally, high-risk infants with a higher FAD score at 5 months of age showed a reduced gene expression of IL-13. Increasing DD within 6 months of life may increase gut microbial diversity, and thus reduce the development of HEA in infants with a family history of allergic diseases.

Keywords
Diet; Egg allergy; Food allergy; Infant; Gut microbiome; Immune tolerance

INTRODUCTION

The prevalence of immediate-type food allergy (FA) ranges from 2% to 10% in all ages with an increasing trend during the last two to three decades and is affected by regions, age, ethnicity, birth season, frequency of dietary exposure, and cooking methods (1, 2, 3). Although the standard management strategy for FA is avoidance of food, it can cause many problems such as poor quality of life, social difficulties, and psychological stress on patients and their families (2). Therefore, it is important to identify risk factors for the development of FA and implement preventive measures for high-risk infants.

Previous studies have shown that early introduction of solid foods has a protective effect on the development of FA and food sensitization (1, 4, 5), and recent guidelines recommended the introduction of complementary foods within the first six months of age (5, 6). Dietary diversity (DD), the number of various food items consumed during infancy, has been also reported to prevent allergic diseases including FA and asthma (7, 8). Recently, Venter et al. (8) demonstrated that increased DD at six and nine months of age reduced the risk of FA development during childhood in a large-scale birth cohort study. They also showed that the likelihood of FA over ten years of life was decreased by additional intake of food items by six months or allergenic foods by one year, suggesting a positive role of early and diverse food introduction in the prevention of FA (8). Early Ag exposure through the gastrointestinal tract is associated with the prevention of allergic sensitization and the acquisition of oral tolerance by stimulating goblet cells to facilitate the maintenance of preexisting Treg cells and produce the IL-10 (9). Additionally, gut epithelial barrier dysfunction and allergic sensitization are induced by low diversity of fecal microbiota (10, 11).

Although additional intake of diverse foods during infancy is inversely related to the odds of FA, the exact mechanism of this association remains unclear. Furthermore, the effects of dietary habits on immunologic alterations or allergy outcomes may differ between infants with and without risk factors for allergies (4, 12, 13). Therefore, we investigated whether DD during infancy could lower the risk of developing IgE-mediated FA in infants with a family history of allergic diseases. Additionally, the association of cytokines with DD during the first year of life was investigated.

MATERIAL AND METHODS

Study population and clinical evaluation

In this prospective birth cohort study, we screened 157 pregnant women at ≥28 weeks gestation and finally enrolled 68 infants in a high-risk group and 32 infants in a control group. At the time of enrollment, parents completed a questionnaire regarding basic demographic information, and underwent skin prick tests (SPTs). On the basis of family history of allergic diseases and SPT responses, the high-risk group was defined when they met one of two criteria: (1) at least one parent had both a positive SPT and a history of asthma or allergic rhinitis; and (2) at least one parent or sibling had physician-diagnosed atopic dermatitis (AD). The control group was determined when both parents had neither an allergy history nor a positive SPT.

All infants were serially followed up from birth until twelve months of age. We evaluated the presence of AD and FA, and obtained dietary data at two, six, and twelve months of age. We collected stool samples at six months of age. When the parents reported any suspicious allergic symptoms, the infants were brought to the outpatient clinic and examined by an allergy specialist. Diagnosis of FA was based on a positive oral food challenge test or convincing history of adverse reactions within 2 h of food ingestion plus positive serum specific IgE (sIgE, ≥0.1 kU/L). Immediate reactions included urticaria, edema, cough, wheezing, vomiting, diarrhea, hypotension and altered mentality. This study was approved by the Institutional Review Board (IRB No. SMC-2016-12-111), and written informed consent was obtained from all the parents prior to participation in this study.

Dietary data and diversity

The families were surveyed using a standardized questionnaire regarding when the infants first started eating ten different food groups (grains, vegetables, fruits, meat, fish, eggs, dairy, wheat, peanuts, and legumes/nuts) every month from three months to twelve months. The food group diversity (FGD) was calculated by summing the number of ten food groups introduced in the child's diet (maximum count of ten). The World Health Organization (WHO) DD was defined as the sum of the number of food groups such as grains, legumes/nuts, dairy, flesh foods, eggs, vitamin A-rich fruits and vegetables, and other fruit and vegetables (maximum count of seven) (8). The food allergen diversity (FAD) score was calculated by summing the number of main food allergens such as milk, egg, wheat, fish, soy, peanut, tree nuts, and sesame (maximum count of eight) included at each time point (14).

SPTs

A skin prick test (SPT) was performed on the volar aspects of the forearms using the following nine inhalant allergens in pregnant women and their husbands: Dermatophagoides pteronyssinus, D. farinae, tree pollen mixture I (Alnus glutinosa, Corylus avellana, Populus sp., Ulmus scabra, and Salix caprea), birch pollen, ragweed, weed pollen mixture (Artemisia vulgaris, Urtica dioica, Taraxacum vulgare, and Plantago lanceolata), grass pollen mixture (Holcus lanatus, Dactylis glomerata, Lolium perenne, Phleum pratense, Poa pratensis, and Festuca pratensis), cat dander, and cockroach. Histamine was used as a positive control and normal saline as a negative control. All of the above allergens were provided by Allergopharma, Reinbek, Germany. The SPT was regarded as positive if the wheal diameter was ≥3 mm and controls showed adequate reactions.

Blood tests

The 25(OH) D levels were measured by a Unicel DxI 800® chemiluminescent immunoassay (Beckman Coulter Inc., Brea, CA, USA), and IgE levels were determined by the Immuno-CAP (Thermo Fisher Scientific, Waltham, MA, USA) system. Genomic DNA was extracted from peripheral blood leukocytes and was genotyped for three filaggrin (FLG) null variants (3321delA, K4022X, and S3296X), which are common among Koreans, by direct DNA sequencing as described previously (15).

Measurements of cytokine mRNA expression

Peripheral blood mononuclear cells were purified from peripheral blood using standard Ficoll-Paque™ PLUS (GE Healthcare, Chicago, IL, USA) gradient centrifugation according to the instructions of the manufacturer. RNeasy Mini Kits (Qiagen, Germantown, MD, USA) were used for RNA extraction according to the manufacturer's protocol. RNA was reverse-transcribed into cDNA using the SuperScript VILO MasterMix (Invitrogen, Carlsbad, CA, USA). Real-time RT-PCR was performed and analyzed by the dual-labeled fluorogenic probe method by using an ABI Prism 7900 sequence detector (Applied Biosystems, Foster City, CA, USA). Primers and probes for 18S, IL-4, IL-5, IL-6, IL-8, IL-10, IL-13, TSLP, TNF-α, and TGF-β were purchased from Applied Biosystems.

Bacterial 16S rRNA sequencing of fecal samples

The hypervariable regions V3–V4 of the bacterial 16S rRNA gene was amplified on stool samples collected at six months of age and sequenced on the Illumina MiSeq platform (Illumina, San Diego, CA, USA). The 16S rRNA gene sequence data were analyzed using the Quantitative Insights Into Microbial Ecology software package (v1.9.1) (16). Using qualified sequences (Phred ≥Q20), the operational taxonomic units (OTUs) were identified and quantified using the open reference method that maps sequences with 97% identity to known sequence in the Greengenes database (v13_8) using UCLUST alignment algorithms and the EzBioCloud database (http://www.ezbiocloud.net) (17, 18, 19).

The alpha diversity was carried out using the phylogenetic distance and the detected number of species metrics. The microbial beta-diversity was compared using the Bray-Curtis dissimilarity coefficient. The linear discriminant analysis (LDA) effect size was used to identify biologically and statistically significant differences in OTU relative abundance according to DD (20). An LDA score of >3 (among OTUs with >1% relative abundance in any group) was used to determine significant differences in abundance of OTUs.

Statistical analysis

Data were analyzed using SPSS for Windows (version 27.0; SPSS, Chicago, IL, USA) and Graphpad Prism (version 9.00; Graphpad Software, San Diego, CA, USA). A χ2 test and Fisher's exact test were applied to determine the differences in the proportions based on normal or non-normal distribution. A Mann-Whitney U test was used to compare continuous variables between two groups.

Univariable and multivariable logistic regression analyses were conducted to determine the effect of DD scores on the development of FA in high-risk infants. Variables for adjustment included sex, family history of allergic diseases, mode of delivery, FLG mutation, season of birth, maternal education levels, monthly household income, the presence of AD during the twelve months after birth, the presence of older siblings, antibiotic treatment during the first two months of life, the age of introduction of solid foods, and serum concentration of 25(OH)D. Variables with a p-value <0.1 in univariable analysis were chosen for the multivariable analysis. A p-value <0.05 was considered significant.

RESULTS

Clinical characteristics of study population

Among subjects who met the eligibility criteria, 54 out of 68 infants in the high-risk group and 27 out of 32 infants in the control group completed the study (Table 1). Overall, 8/54 (14.8%) and 1/27 (3.7%) infants developed FA in the high-risk group and the control group, respectively (p=0.259). Hen's egg allergy (HEA) developed in eight infants, while four out of eight had cow's milk allergy and one had soy allergy, as well. Since all patients with FA had HEA, we focused on HEA in the analyses. No infants were diagnosed with FA before six months of age.

Effects of DD on the development of egg allergy

The FGD, WHO DD, and FAD scores are shown in Fig. 1. In the high-risk group, univariable analysis showed that the diagnosis of AD was associated with the development of HEA in the first year of life (odds ratio [OR], 28.8; 95% confidence intervals [CIs], 3.13–264.52) (Table 2). After adjusting for the mode of delivery, the diagnosis of AD, and the use of antibiotics before two months of age, the multivariable analysis revealed that high FGD, WHO DD, and FAD scores at three and four months of age were less likely to develop HEA in the high-risk group (Table 3 and Fig. 2). A FAD score ≥1 at five months of age was also associated with a decreased risk of developing HEA among high-risk infants (adjusted OR, 0.06; 95% CI, 0–0.77) (Table 3 and Fig. 2). However, there was no association of FGD, WHO DD, and FAD scores at six months to twelve months with the development of HEA. In the control group, there were no significant factors or DD scores influencing the development of HEA in the univariable and multivariable analyses (all p>0.05).

Figure 1
FGD (A), WHO DD (B), and FAD (C) scores at each time point. FGD score was defined as the sum of the number of ten different food groups (grains, legumes/nuts, dairy, flesh foods, eggs, vitamin A-rich fruits, and vegetables). WHO DD score and FAD score were calculated by summing of the number of seven food groups (grains, legumes/nuts, dairy, flesh foods, eggs, vitamin A-rich fruits and vegetables, and other fruit and vegetables) and eight food allergen groups (milk, egg, wheat, fish, soy, peanut, tree nuts, and sesame), respectively.

Table 2
Univariable analyses for baseline characteristics influencing development of egg allergy in high-risk infants

Table 3
Multivariable analyses for diet diversity scores influencing development of egg allergy in high-risk infants*

Figure 2
The food group diversity at age 3 (A) and 4 (B) months, World Health Organization dietary diversity at age 3 (C) and 4 (D) months, and food allergen diversity at age 3 (E), 4 (F), and 5 (G) months versus egg allergy in the high-risk group. Multivariable analyses (holding delivery mode = vaginal delivery, use of antibiotics before 2 months of age = no, and having atopic dermatitis ever = no) were performed. The solid line represents the predicted probabilities of developing egg allergy, and dashed lines represent the 95% confidence intervals.

Association of DD scores with gut microbial diversity

The fecal Chao1 indices at six months of age were higher in high-risk infants who had higher FGD, WHO DD, and FAD scores at three months and four months of age compared to those who had lower FGD, WHO DD, and FAD scores (all p<0.05) (Fig. 3). Additionally, Chao1 indices were also higher in high-risk infants with a higher FAD score at five months of age than those with a lower FAD score (p=0.004) (Fig. 3). Higher Shannon indices were also found in high-risk infants with higher WHO DD scores at four months of age and FAD scores at four and five months than those with lower WHO DD and FAD scores (all p=0.038) (Fig. 3). However, there were no differences in Chao1 or Shannon indices according to DD score at six months to twelve months. Additionally, no differences were observed in Chao1 or Shannon indices between infants with higher and lower DD scores in the control group.

Figure 3
Gut microbial diversity in infants at age 3 (A) and 4 (B) months according to the food group diversity, at age 3 (C) and 4 (D) months according to World Health Organization dietary diversity and at age 3 (E), 4 (F) and 5 (G) months according to food allergen diversity. The central box in each box plot indicates the interquartile range and median, while the upper and lower lines indicate the maximum and minimum values, respectively.

Association of DD scores with cytokine expressions

When DD scores from three months to six months of age were divided into two groups according to the median values, mRNA expression of IL-4, IL-5, IL-6, and IL-8 were higher in high-risk infants who had lower DD scores compared to those who had higher DD scores (Table 4). Additionally, high-risk infants with a higher FAD score at five months of age showed a reduced gene expression of IL-13 (p=0.029) (Table 4).

Table 4
Relative gene expression of cytokines at 12 months of age according to dietary diversity scores in high-risk infants

DISCUSSION

In a birth cohort study, the Protection Against Allergy Study in Rural Environment/EFRAIM, Roduit et al. (7) demonstrated that increased DD in the first year of life is inversely associated with doctor-diagnosed FA with a dose-response effect. Venter et al. (8) also showed that high infant DD decreased the likelihood of developing FA over the first decade of life in the Food Allergy and Intolerance Research birth cohort. Both studies analyzed data from a large study population in Europe during a long-term period and emphasized the importance of DD during infancy for prevention of FA. To our knowledge, the present study was the first research in Asia to investigate the association between DD during infancy and the development of HEA. Our findings in Korean infants are consistent with those two prior studies, indicating that DD should be considered in relation with FA for Asian populations as well. We also found that high-risk infants with high DD scores showed an increased gut microbial diversity and a downregulation of IL-4, IL-5, IL-6, IL-8, and IL-13 compared to those with low DD scores. In addition to the results from prior studies in Europe (7, 8), our study suggests that infant DD should begin as early as three months to four months of age, and a decreased risk of developing HEA may be mediated by gut microbial diversity during infancy. Our observation provides an important basis for understanding the mechanisms of FA development and establishing preventive measures during infancy.

FA is a consequence of immune dysregulation and loss of normal immune tolerance, conditions that are influenced by host immune status, age, gut microbiome, barrier defects, route of exposure to food allergens, and other factors (21, 22). In our cohort, eight of 54 infants in the high-risk group (14.8%) developed an HEA. Among those eight patients with HEA, four and one were also allergic to cow's milk and soybean, respectively. Interestingly, we found that DD of the three different measures along with microbial diversity, but before the introduction of egg proteins, were contributed to reducing the development of HEA among high-risk infants.

Treg cells play a significant role in immune system regulation toward FA (9). Therefore, before the introduction of allergenic foods, the gut microenvironment capacity to promote Treg cell induction plays a key role in developing an acquired oral tolerance against food Ags (9). In this regard, gut microbiota development during this period is important, because gut microbiota interact with the innate and adaptive immune system within the mucosa through microbe-derived metabolites to support the induction of tolerance (21). In a study by Roduit et al., (7) children with low DD had a reduced expression of Foxp3 and an increased expression of Cε germline transcripts, which are markers of Treg cells and Ab isotype switching to IgE. Meanwhile, it has been reported that gut microbiota development in infants is influenced by the mode of delivery, feeding patterns, and antibiotics usage (23, 24, 25). Based on our observations, the protective effect of DD is significantly associated with gut microbial diversity.

In our study of Korean infants, we found that vegetables, cereals, and cow's milk introduced at three to five months of age may contribute to gut microbial diversity at age six months. Oral tolerance to hen's eggs seems to be acquired through introduction of egg protein between six and twelve months of age, although we did not intervene for preventive purposes. Our observation about timing of food introduction is compatible with recent recommendations by the experts in the US and Canada to introduce allergenic foods such as eggs and peanuts around six months of age, though not before four months of age (26). Unfortunately, we did not investigate how altered gut microbiota affects host immune status to induce tolerance to food allergens.

Of note, DD during early infancy contributed to gut microbial diversity and a decrease in development of HEA only in the high-risk group. In other words, our control group did not show a positive association between DD and gut microbial diversity. This finding is not surprising, because microbiota responses to dietary intervention are known to vary considerably between subjects; therefore, subjects with low and high microbiota richness often respond differently to dietary intervention (23). Similar to our study, early introduction of hen's egg in high-risk infants with eczema decreased the prevalence of HEA (1, 27), whereas a randomized trial of introduction of allergenic food at three months of age in standard-risk infants did not show a statistically significant prevention of HEA in the intention-to-treat analysis (13). We do not yet understand how the immunologic status of high-risk infants with a family history of allergic diseases differs from that of the control group and how it changes according to feeding patterns. It means that either DD or gut microbiota is not the only factor to induce oral tolerance to allergenic foods in the control group. There may be a complex interplay among multiple factors and/or hidden factors in the prevention of FA. Further research is necessary to elucidate the development of host immunity in relation to gut microbiota and dietary patterns.

Since all patients with FA in the present study had HEA, the results of this study cannot be generalized to types of FA other than eggs and should be interpreted carefully. In addition, our sample size was small, and a long-term follow-up was not performed after infancy. However, the management of FA during the first year of life is also a huge burden on parents (2). Therefore, the results of the present study are clinically meaningful in that we analyzed the relationship between DD and the development of HEA for the first time in Asia, showing the protective effects of DD against HEA in high-risk infants regardless of ethnicity. Our study also demonstrates the importance of DD in three to five-month-old infants at an earlier age than previous studies, along with its association with gut microbial diversity and cytokine profiles.

In conclusion, our results suggest that greater food diversity within the first 6 months of life may increase gut microbial diversity and reduce the development of IgE-mediated HEA during infancy. Exposure of the gastrointestinal tract to various foods early in life could be beneficial to establish oral immune tolerance and prevent HEA in children with a family history of allergic diseases.

Notes

Conflict of Interest:The authors declare no potential conflicts of interest.

Author Contributions:

  • Conceptualization: Lee BR, Ahn K, Kim J.

  • Data curation: Lee BR, Jung HI, Kim SK, Kwon M, Kim H, Jung M, Kyung Y, Kim BE, Choi SJ, Oh SY, Ahn K, Kim J.

  • Formal analysis: Lee BR, Baek SY, Kim S, Bae J, Ahn K, Kim J.

  • Resources: Choi SJ, Oh SY, Ahn K, Kim J.

  • Supervision: Ahn K, Kim J.

  • Writing - original draft: Lee BR, Ahn K, Kim J.

  • Writing - review & editing: Lee BR, Jung HI, Kim SK, Kwon M, Kim H, Jung M, Kyung Y, Kim BE,Choi SJ, Oh SY, Baek SY, Kim S, Bae J, Ahn K, Kim J.

Abbreviations

AD atopic dermatitis
CI confidence interval
DD dietary diversity
FA food allergy
FAD food allergen diversity
FGD food group diversity
FLG filaggrin
HEA hen's egg allergy
OR odds ratio
OTU operational taxonomic unit
sIgE specific IgE
SPT skin prick test
WHO DD World Health Organization definition of minimum dietary diversity

ACKNOWLEDGEMENTS

This work was supported by Korea Environment Industry and Technology Institute (KEITI) through Environmental Health Action Program, funded by Korea Ministry of Environment (MOE) (2017001360006).

References

    1. Natsume O, Kabashima S, Nakazato J, Yamamoto-Hanada K, Narita M, Kondo M, Saito M, Kishino A, Takimoto T, Inoue E, et al. Two-step egg introduction for prevention of egg allergy in high-risk infants with eczema (PETIT): a randomised, double-blind, placebo-controlled trial. Lancet 2017;389:276–286.
    1. Sicherer SH, Sampson HA. Food allergy: a review and update on epidemiology, pathogenesis, diagnosis, prevention, and management. J Allergy Clin Immunol 2018;141:41–58.
    1. Park M, Kim D, Ahn K, Kim J, Han Y. Prevalence of immediate-type food allergy in early childhood in Seoul. Allergy Asthma Immunol Res 2014;6:131–136.
    1. Du Toit G, Roberts G, Sayre PH, Bahnson HT, Radulovic S, Santos AF, Brough HA, Phippard D, Basting M, Feeney M, et al. Randomized trial of peanut consumption in infants at risk for peanut allergy. N Engl J Med 2015;372:803–813.
    1. Caffarelli C, Di Mauro D, Mastrorilli C, Bottau P, Cipriani F, Ricci G. Solid food introduction and the development of food allergies. Nutrients 2018;10:1790.
    1. Togias A, Cooper SF, Acebal ML, Assa'ad A, Baker JR Jr, Beck LA, Block J, Byrd-Bredbenner C, Chan ES, Eichenfield LF, et al. Addendum guidelines for the prevention of peanut allergy in the United States: report of the National Institute of Allergy and Infectious Diseases-sponsored expert panel. J Allergy Clin Immunol 2017;139:29–44.
    1. Roduit C, Frei R, Depner M, Schaub B, Loss G, Genuneit J, Pfefferle P, Hyvärinen A, Karvonen AM, Riedler J, et al. Increased food diversity in the first year of life is inversely associated with allergic diseases. J Allergy Clin Immunol 2014;133:1056–1064.
    1. Venter C, Maslin K, Holloway JW, Silveira LJ, Fleischer DM, Dean T, Arshad SH. Different measures of diet diversity during infancy and the association with childhood food allergy in a UK birth cohort study. J Allergy Clin Immunol Pract 2020;8:2017–2026.
    1. Kulkarni DH, Gustafsson JK, Knoop KA, McDonald KG, Bidani SS, Davis JE, Floyd AN, Hogan SP, Hsieh CS, Newberry RD. Goblet cell associated antigen passages support the induction and maintenance of oral tolerance. Mucosal Immunol 2020;13:271–282.
    1. Smith PM, Howitt MR, Panikov N, Michaud M, Gallini CA, Bohlooly-Y M, Glickman JN, Garrett WS. The microbial metabolites, short-chain fatty acids, regulate colonic Treg cell homeostasis. Science 2013;341:569–573.
    1. Stefka AT, Feehley T, Tripathi P, Qiu J, McCoy K, Mazmanian SK, Tjota MY, Seo GY, Cao S, Theriault BR, et al. Commensal bacteria protect against food allergen sensitization. Proc Natl Acad Sci U S A 2014;111:13145–13150.
    1. Wei-Liang Tan J, Valerio C, Barnes EH, Turner PJ, Van Asperen PA, Kakakios AM, Campbell DE. Beating Egg Allergy Trial (BEAT) Study Group. A randomized trial of egg introduction from 4 months of age in infants at risk for egg allergy. J Allergy Clin Immunol 2017;139:1621–1628.e8.
    1. Perkin MR, Logan K, Tseng A, Raji B, Ayis S, Peacock J, Brough H, Marrs T, Radulovic S, Craven J, et al. Randomized trial of introduction of allergenic foods in breast-fed infants. N Engl J Med 2016;374:1733–1743.
    1. Venter C, Greenhawt M, Meyer RW, Agostoni C, Reese I, du Toit G, Feeney M, Maslin K, Nwaru BI, Roduit C, et al. EAACI position paper on diet diversity in pregnancy, infancy and childhood: novel concepts and implications for studies in allergy and asthma. Allergy 2020;75:497–523.
    1. On HR, Lee SE, Kim SE, Hong WJ, Kim HJ, Nomura T, Suzuki S, Shimizu H, Kim SC. Filaggrin mutation in Korean patients with atopic dermatitis. Yonsei Med J 2017;58:395–400.
    1. Caporaso JG, Kuczynski J, Stombaugh J, Bittinger K, Bushman FD, Costello EK, Fierer N, Peña AG, Goodrich JK, Gordon JI, et al. QIIME allows analysis of high-throughput community sequencing data. Nat Methods 2010;7:335–336.
    1. DeSantis TZ, Hugenholtz P, Larsen N, Rojas M, Brodie EL, Keller K, Huber T, Dalevi D, Hu P, Andersen GL. Greengenes, a chimera-checked 16S rRNA gene database and workbench compatible with ARB. Appl Environ Microbiol 2006;72:5069–5072.
    1. Yoon SH, Ha SM, Kwon S, Lim J, Kim Y, Seo H, Chun J. Introducing EzBioCloud: a taxonomically united database of 16S rRNA gene sequences and whole-genome assemblies. Int J Syst Evol Microbiol 2017;67:1613–1617.
    1. Edgar RC. Search and clustering orders of magnitude faster than BLAST. Bioinformatics 2010;26:2460–2461.
    1. Segata N, Huttenhower C. Toward an efficient method of identifying core genes for evolutionary and functional microbial phylogenies. PLoS One 2011;6:e24704
    1. Sampson HA, O'Mahony L, Burks AW, Plaut M, Lack G, Akdis CA. Mechanisms of food allergy. J Allergy Clin Immunol 2018;141:11–19.
    1. Lopes JP, Sicherer S. Food allergy: epidemiology, pathogenesis, diagnosis, prevention, and treatment. Curr Opin Immunol 2020;66:57–64.
    1. Derrien M, Veiga P. Rethinking diet to aid human-microbe symbiosis. Trends Microbiol 2017;25:100–112.
    1. Derrien M, Alvarez AS, de Vos WM. The gut microbiota in the first decade of life. Trends Microbiol 2019;27:997–1010.
    1. Marrs T, Jo JH, Perkin MR, Rivett DW, Witney AA, Bruce KD, Logan K, Craven J, Radulovic S, Versteeg SA, et al. Gut microbiota development during infancy: Impact of introducing allergenic foods. J Allergy Clin Immunol 2021;147:613–621.e9.
    1. Fleischer DM, Chan ES, Venter C, Spergel JM, Abrams EM, Stukus D, Groetch M, Shaker M, Greenhawt M. A consensus approach to the primary prevention of food allergy through nutrition: guidance from the American Academy of Allergy, Asthma, and Immunology; American College of Allergy, Asthma, and Immunology; and the Canadian Society for Allergy and Clinical Immunology. J Allergy Clin Immunol Pract 2021;9:22–43.e4.
    1. Perkin MR, Logan K, Bahnson HT, Marrs T, Radulovic S, Craven J, Flohr C, Mills EN, Versteeg SA, van Ree R, et al. Efficacy of the Enquiring About Tolerance (EAT) study among infants at high risk of developing food allergy. J Allergy Clin Immunol 2019;144:1606–1614.e2.

Metrics
Share
Figures

1 / 3

Tables

1 / 4

Funding Information
PERMALINK