Abstract
Background
This scoping review aims to critically assess gaps in the current literature on atopic dermatitis (AD) by evaluating the overall effectiveness of dietary interventions. Through a comprehensive analysis that follows the Preferred Reporting Item for Systematic Review and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) guidelines, we conducted a thorough search on the Web of Science database in May 2023 using specific search strategies to identify all relevant studies on the research topic.
Summary
A total of 104 full-text articles were included for review. Our synthesis identified seven notable categories of dietary interventions for AD, showcasing the diversity of interventions utilized. This includes vitamin supplementation, probiotic and prebiotic supplementation, dietary fat, biological compounds, foods from natural sources, major nutrients, and diet-related approaches. Further analyses stratified by targeted populations revealed a predominant focus on pediatrics, particularly in probiotic supplementation, and on adults, with an emphasis on vitamin D and E supplementation.
Key Messages
Despite most dietary interventions demonstrating overall effectiveness in improving AD severity and its subjective symptoms, several significant gaps were identified. There was a scarcity of studies on adults and whole-diet interventions, a prevalence of short-term interventions, heterogeneity in study outcomes, designs, and population, occasional disparity between statistical significance and clinical relevance, and a lack of a comprehensive multidisciplinary approach. Nonetheless, these findings offer valuable insights for future AD research, guiding additional evidence-driven dietary interventions and informing healthcare professionals, researchers, and individuals, advancing both understanding and management of AD.
Keywords: Atopic dermatitis, Diet, Dietary interventions, Nutrition, Randomized controlled trials
Introduction
Background
Atopic dermatitis (AD) is a chronic, persistent, and pruritic inflammatory skin condition that represents a substantial burden on global public health [1]. While AD typically manifests during early childhood to affect the pediatric population, it can persist into adulthood or even first present in the later stage of life [2]. The multifaceted nature of AD underscores the complex interplay of genetic predispositions [3, 4], immunological responses [5], environmental influences [6], and even lifestyle factors [7]. Emerging epidemiological findings and randomized controlled trials (RCT) in recent decades strongly suggest that diet may play a pivotal role in not only triggering and exacerbating AD but also in its effective management [8–12]. Therefore, research focusing on dietary interventions in AD is essential for advancing treatment strategies, refining our understanding of how diet impacts symptom control and trigger reduction, and ultimately improving the quality of life for individuals with AD.
Definition of AD
Given the highly heterogeneous and complex nature of AD, establishing a standardized definition of AD is crucial for this review. Within this review, we defined AD to be a composite of characteristic clinical features (pruritus, dry or scaly skin, erythema, specific lesions distributed in the flexural areas such as the bends of elbows and knees, as well as the face and neck), disease course (chronic or relapsing) and associated with a personal and/or family history of atopic conditions (such as allergic rhinitis, asthma, or allergic sensitization to common environmental allergens). This is in accordance with the validated guidelines of the Hanifin and Rajka criteria [13] and the UK Working Party’s diagnostic criteria [14]. Adhering to these established criteria ensures a standardized and consistent approach to defining and differentiating AD from other inflammatory skin diseases within the scope of this review. While our primary interest was in examining the influence of dietary interventions on AD symptoms, we took a broader approach to outcomes. In addition to evaluating changes in AD symptoms, we considered alterations in immune responses and skin parameters of individuals with AD. This expanded scope allows us to comprehensively assess the impact of dietary interventions, not only on the manifestations of AD but also on the underlying immune mechanisms and overall skin health. By analyzing a wider range of outcomes, we aim to provide a more nuanced understanding of the potential multifaceted effects of dietary interventions in the context of AD.
Research Gaps and Aims
In this scoping review, we strategically targeted specific gaps in the existing literature to contribute valuable insights to the field of AD. Our primary aim was to address the gap pertaining to the overall effectiveness of dietary interventions for AD. Through a comprehensive evaluation of the existing literature, we aim to present a narrative synthesis that captures the current and updated dietary interventions. This synthesis seeks to enhance the understanding of how specific dietary interventions impact the onset, exacerbation, and management of AD across diverse and specific populations. Additionally, our focus extends to investigating the gap related to the diversity of food and dietary patterns utilized to improve AD. Recognizing the varied approaches to dietary interventions, our review seeks to identify and analyze the spectrum of nutrients, foods, and dietary patterns implicated in the management of AD. Lastly, our aim was to delineate the characteristics of the studied population by identifying and analyzing their demographics, such as age group and geographical location. This involves a detailed examination of the participant profiles within the included studies, providing insights into the diverse demographic factors influencing the effectiveness and diversity of dietary interventions for AD. Ultimately, this scoping review aims to critically emphasize the need for additional and evidence-driven RCTs that empower healthcare professionals, researchers, and individuals with AD in advancing the understanding and management of AD.
Methodology
Search Strategy
This review was conducted in accordance with the Preferred Reporting Item for Systematic Review and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) 2018 guidelines [15] (refer to online suppl. Table 1; for all online suppl. material, see https://doi.org/10.1159/000535903 for the PRISMA-ScR checklist) to ensure methodological rigor and transparency. We conducted a comprehensive literature search to identify dietary intervention studies relevant to AD. The primary literature search was performed on May 10, 2023, using the Web of Science database. Search results were limited to English journal articles published between 1990 and May 2023. To ensure an exhaustive search capturing all relevant studies on the research topic, we utilized 12 well-defined full search terms related to AD and dietary intervention. The search terms included combinations using appropriate Boolean operators such as (i) ((Atopic dermatitis) AND (diet)), (ii) ((Atopic dermatitis) AND (nutrients)), (iii) ((Atopic dermatitis) AND (eating patterns)), (iv) ((Atopic dermatitis) AND (dietary habits)), (v) ((Atopic dermatitis) AND (food groups)), (vi) ((Atopic dermatitis) AND (supplements)), (vii) ((Atopic dermatitis) AND (micronutrients)), (viii) ((Atopic dermatitis) AND (vitamins)), (ix) ((Atopic dermatitis) AND (minerals)), (x) ((Atopic dermatitis) AND (dietary fat)), (xi) ((Atopic dermatitis) AND (dietary protein)) and (xii) ((Atopic dermatitis) AND (dietary carbohydrate)). The search terms center on dietary aspects, including dietary habits, nutrition, various dietary components, dietary patterns, food groups, and dietary supplements to investigate their impact on AD. The initial search yielded a total of 3,022 articles. Following this, a deduplication process was performed to identify and remove duplicate records. Duplicate articles with the same title and author published in the same journal were identified and consolidated, resulting in the removal of 609 duplicate records. The deduplication process ensured that each unique study was included only once in the subsequent stages of the review.
Eligibility Criteria
In accordance with predetermined eligibility criteria for relevance, two researchers (J.J.L. and M.H.L.) independently conducted a thorough assessment of all retrieved articles. Any discrepancies that arose during this process were resolved through internal discussion until a consensus was reached. For this review, inclusion criteria were defined based on our characterization of AD and the stated aims. The scope encompassed studies adhering to a nutritional intervention trial design, focusing on human populations of all age groups. Specifically, eligible studies were required to address AD as a primary condition and employ relevant and appropriate outcome measures to assess the impact of dietary interventions. Full-text journal articles available in English were included. Exclusion criteria were applied to studies that met at least one of the following: pertained to nonhuman subjects (e.g., in vitro studies, murine experiments, canine/feline AD), focused on food allergies or other irrelevant skin diseases (e.g., psoriasis, acne vulgaris, seborrheic dermatitis), primarily investigated the medicinal treatments for AD, cosmetics or beauty-related interventions, or involved a cross-sectional examination of epidemiological dietary factors. Using these eligibility criteria, we initially screened 2,413 records for suitability, excluding 2,313 irrelevant articles. Based on the title and abstract, an additional 18 articles were excluded from the review as they met at least one of the following criteria: the article was a review, had poorly specified study design and methods, and presented outcomes unrelated to AD. A visual representation of the article selection process is presented in Figure 1 alongside the full search terms and filters applied.
Data Extraction and Narrative Synthesis
A standardized, pre-piloted form was utilized to extract data from the included studies for assessment of study quality and evidence synthesis. The following study characteristics were abstracted from the selected fill-text articles which included the author(s), publication year, study title and abstract, participant characteristics (e.g., origin, sample size, targeted group), interventions (e.g., study design, study duration, intervention-of-interest), main outcomes of interest (e.g., subjective symptoms, skin parameter measurements, immune changes), and conclusions. A narrative synthesis approach was employed to summarize and analyze the findings of all included studies.
Results
Literature Search
The searches yielded 3,022 eligible journal articles during the primary search and screening process (Fig. 1). After the removal of 609 duplicates, we carefully reviewed the title and abstract of the remaining articles. Of 2,413 publications, only 100 met the inclusion criteria and were included in the present review. The majority of the excluded studies were primarily reviews, not pertaining to human subjects, and had a primary focus on food allergies as the sole outcome. Therefore, we have narrowed down the pool of potentially eligible full-text articles to 84, aligning with the specific aims of this review. In several studies, the research focus and terminology revolved around “eczema” and “atopic eczema.” A rigorous assessment was conducted to validate that these terminologies used in the studies align with the predefined definition of AD, specifically denoting a recurrent itchy rash predominantly distributed in the flexural regions. Upon further review and additional relevant studies, 104 studies were included in the final review.
Overview of Study Characteristics
The descriptive characteristics of the 104 included studies are summarized in Table 1. Among the 104 included studies, the majority (n = 77) adhered to the gold standard of a randomized, double-blind, placebo-controlled design. This suggests most included studies have adopted a robust approach to minimizing biases and ensuring the reliability of their dietary interventions. Five studies used a randomized, placebo-controlled design but were single-blinded while another four were only randomized and double-blinded. Additionally, eight studies were based on open trials. The remaining ten studies contained a variety of study designs, including a mixture of match-paired, crossover, and pre-post studies without clearly specifying the blinding status. Most studies (n = 81) reported a positive improvement in the outcomes, highlighting the effectiveness of dietary interventions. Only a smaller number of studies (n = 23) indicated no significant changes or improvements in their reported outcomes related to AD severity. Study populations originated from 28 countries with most studies being Eurocentric (n = 53). Among the studies conducted in Europe, a notable proportion was based in specific countries: Finland (n = 11), Italy (n = 10), Germany (n = 7), United Kingdom (n = 6), and Norway (n = 5). On the other hand, there was also a considerable number of studies conducted in Asia (n = 28) with eleven focusing on the Japanese and five focusing on Koreans. Surprisingly, no studies were conducted in Singapore or Malaysia despite the high prevalence rate of AD in these highly urbanized countries [16–18]. Thus, this underscores a potential research gap in certain regions, emphasizing the need for increased research focus and awareness to investigate dietary interventions and AD. The number of studies has increased over time from 1990 to 2023. There were nine studies published during 1990–2000 and substantially increased to forty-seven studies during 2001–2011 to indicate a growing interest in the role of diet in managing AD. More than half of the studies focused on the pediatric population, and pregnant and/or lactating women (n = 73) while fewer studies (n = 31) focused on the AD adult population.
Table 1.
Characteristics | Overall articles included (n = 104) |
---|---|
Study design, n (%) | |
Randomized, double-blind, placebo-controlled | 77 (74.0) |
Randomized, single-blind, placebo-controlled | 5 (4.81) |
Randomized, double-blind only | 4 (3.85) |
Open trials | 8 (7.69) |
Others | 10 (9.62) |
Treatment effects, n (%) | |
Positive improvements in AD severity and/or immune responses | 81 (77.9) |
No significant changes in any measured outcomes | 23 (22.1) |
Geographical regions, n (%) | |
Asia Pacific (Central and South Asia, Northeastern Asia, Southeast Asia) | 28 (26.9) |
Europe (Northern, Southern, Eastern, Western Europe) | 53 (51.0) |
Americas (North America, South America, Central America, Caribbean) | 8 (7.69) |
Oceania | 6 (5.77) |
Middle East and Africa | 8 (7.69) |
Not stated | 1 (0.96) |
Years, n (%) | |
1990–2000 | 9 (8.65) |
2001–2011 | 47 (45.2) |
2012–20231 | 48 (46.2) |
Targeted population, n (%) | |
Adult (aged ≥18 years) | 31 (29.8) |
Pregnant and/or lactating women | 20 (19.2) |
Pediatrics (aged <18 years) | 53 (51.0) |
1Studies included in year 2023 are up till May.
Overview of Diet and Foods
The dietary interventions identified in this review were broadly grouped into seven main categories, reflecting diversity in the types of intervention utilized. These categories included interventions involving vitamin supplementation, probiotic and prebiotic supplementation, dietary fat manipulation, biological compounds, consumption of foods from natural sources, major nutrients, and diet-related approaches (Fig. 2). Particularly, there was a growing interest in the proportion of intervention studies involving probiotics, prebiotics, and vitamins over the years. In the same period spanning from 1990 to 2023, interventions centered around diet-related approaches became obsolete while there were more studies involving biological compounds, major nutrients, and natural sources (Fig. 3). Because of the diversity of dietary interventions, measured outcomes, study design, and intervention duration, a meta-analysis for the majority of the included studies was not feasible. Therefore, we have employed a scoping review approach instead to thoroughly examine the extensive body of research within the field of dietary interventions on AD.
AD and Dietary Interventions among Various Targeted Population
Although dietary interventions have a role in managing AD symptoms, the effectiveness may vary among different populations due to differences in age, dietary habits, and immune health. Here, we stratified and analyzed various targeted population groups to assess the specific dietary interventions employed for managing AD.
Adult Population
Thirty-one articles focused on the adult population and these studies examined a variety of dietary interventions [19–49]. Among these interventions, vitamins D and E supplementation were the most frequently studied (n = 8), followed by probiotic and prebiotic (n = 7), dietary fat (n = 6), foods of natural source (n = 4), with limited studies focusing on major nutrients, biological compounds, and diet-related approach (n = 2) (Table 2). Generally, vitamin D3 supplementation resulted in improvement in AD symptoms [20–22, 24] with only one study showing no significant changes to AD severity or antimicrobial peptide expression in AD skin [19]. Two separate studies demonstrated the effectiveness of vitamin E supplementation in improving the extent of eczematous lesions in AD adults [25, 26]. For dietary fats, some studies suggested that n-3 fatty acids supplementation modulates immune responses in adults with AD by potentially regulating the proliferation of CD25+ T cells [27] and immunoglobulin E (IgE) production [29]. Supplementation of various labeled strains of Lactobacillus plantarum was a common approach observed in three separate studies in the adult population and demonstrated some effectiveness in reducing AD severity and pro-inflammatory cytokine levels [34–36]. Interestingly, interventions involving foods from natural sources, such as traditional herbal medicine [42], deep-sea water [43], fig leaf tea [44], and dodder seed extract [45], were exclusively examined in the adult population. Although these studies reported discernible improvements in skin symptoms, it is crucial to interpret the findings cautiously due to the limited availability and uniqueness of these foods in a typical diet. A habitual intake of a vegetarian diet was effective in improving AD severity by modulating inflammation through the reduction in the numbers of eosinophils, neutrophils, and serum IgE levels [49].
Table 2.
Study design | Main objective | Study population and sample size | Diet factor-of-interest (type, dose) | Duration | Main disease/outcome studied | Main clinical effects (changes reported) | Study reference (year) | |
---|---|---|---|---|---|---|---|---|
Vitamins (n = 8) | ||||||||
Randomized, double-blind, placebo-controlled | To determine if supplementation with oral vitamin D alters AMP production in AD skin | USA | Vitamin D3 | 1 capsule/day for 3 weeks consecutively | AD skin AMPs and IL-13 expression | No changes in CAMP, and IL-13 expression | CAMP expression | Hata et al. [19] (2014) |
[p values were not shown] | ||||||||
30 (non-atopic vs. AD subjects) | (4,000 IU/capsule) | IL-13 expression | ||||||
[p = 0.06] | ||||||||
To assess if vitamin D3 improves the response to treatment of patients with moderate-to-severe AD | Mexico | Vitamin D3 | 1 capsule/day for 3 months consecutively | AD severity | ↓ in mean patient SCORAD score | SCORAD | Sánchez-Armendáriz et al. [20] (2014) | |
58 (29 treated vs. 29 placebo) | (5,000 IU/capsule) | Before [38.0±4.4] and after [20.0±2.2] with [p < 0.002] | ||||||
To evaluate the effect of vitamin D supplementation on AD patients | Iran | Vitamin D3 | 1 capsule/day for 60 days consecutively | AD severity | ↓ in mean patient | SCORAD | Amestejani et al. [21] (2012) | |
Before [24.8±4.1] and after [15.3±3.1] with [p = 0.01] | ||||||||
60 (30 treated vs. 30 placebo) | (1,600 IU/capsule) | SCORAD score and total patient TIS score | TIS | |||||
Before [3.5±0.5] and after [1.9±0.4] with [p = 0.032] | ||||||||
To assess the effects of vitamins D and E supplementation on the clinical manifestation of AD | Iran | Vitamin D3 | 1 capsule/day or 2 softgels/day for 60 days consecutively | AD severity | ↓ in mean patient SCORAD score | SCORAD | Javanbakht et al. [22] (2011) | |
Vitamin D | ||||||||
Before [36.0±3.7] and after [23.3±2.8] | ||||||||
52 | Vitamin E | |||||||
(1,600 IU/capsule) | Before [33.3±3.6] and after [20.4±2.4] | |||||||
Vitamin D and E | ||||||||
(13 treated with both D and E) | ↓ in intensity (lichenification and pruritus) | Before [35.6±3.7] and after [12.5±2.3] | ||||||
[All with p = 0.01] | ||||||||
Vitamin E | Intensity | |||||||
(13 treated with D only) | Vitamin D | |||||||
Before [7.4±0.7] and after 4.5±1.8] | ||||||||
Vitamin E | ||||||||
(13 treated with E only) | Significant correlations between SCORAD and intensity | Before [5.7±0.6] and after [4.3±0.5] | ||||||
(600 IU for two softgels) | Vitamin D and E | |||||||
Before [7.0±0.8] and after [2.6±0.4] | ||||||||
(13 placebo) | [All with p = 0.04] | |||||||
Correlation | ||||||||
[p < 0.001] | ||||||||
To determine the effects of vitamins E and/or D on erythrocyte SOD and catalase activities in AD patients | Iran | Vitamin D3 | 1 capsule/day or 2 softgels/day for 60 days consecutively | SOD and catalase activities | SOD activities ↑ all treated groups | SOD activities | Javanbakht et al. [23] (2010) | |
Vitamin D | ||||||||
45 | Before [1,124.7±54.6] and after [1,357.3±32.6] with [p = 0.002] | |||||||
Vitamin E | ||||||||
(1,600 IU/capsule) | Before [1,187.5±82.9] and after [1,458.1±129.5] with [p = 0.016] | |||||||
(11 treated with both D and E) | Catalase activities ↑ only in those treated with vitamin D3 | Vitamin D and E | ||||||
Before [1,072.2±45.6] and after [1,277.8±55.1] with [p = 0.015] | ||||||||
(12 treated with D only) | Vitamin E | Catalase activities | ||||||
Vitamin D | ||||||||
Before [183.1±14.2] and after [219.5±15.9] with [p = 0.026] | ||||||||
(11 treated with E only) | Significant correlation between SOD activity and serum 25(OH)D | Vitamin D and E | ||||||
(600 IU for two softgels) | Before [217.8±20.4] and after [267.7±22.2] with | |||||||
(11 placebo) | [p = 0.004] | |||||||
Correlation | ||||||||
[r = 0.378, p = 0.01] | ||||||||
Not specified | To correlate vitamin D concentrations in patients who had AD and to determine if vitamin D supplementation affects the clinical manifestations of AD | Poland | Vitamin D3 | 1 capsule/day for 3 months consecutively | AD severity | ↓ in mean patient SCORAD score | SCORAD | Samochocki et al. [24] (2013) |
Before [45.12±16.07] and after [25.70±11.10] with [p = 0.001] | ||||||||
(95 AD subjects vs. 58 healthy controls) | (2,000 IU/capsule) | Total IgE level | ↓ in mean patient total IgE level | Total IgE (IU/mL) | ||||
Before [1,147.56±1,883.85] and after [994.86±1,680.71] with [p = 0.001] | ||||||||
Randomized, single-blind, placebo-controlled, pilot study | To compare the effects of placebo and vitamin E intake on symptoms and serum IgE levels of AD patients | Europe | Vitamin E | 1 pill/day for 8 months consecutively | Exacerbation of eczematous lesions | ↓ eczematous lesions and serum IgE level | Lesions | Tsoureli-Nikita et al. [25] (2002) |
23/50 subjects showed great improvement | ||||||||
96 (50 treated vs. 46 placebo) | (400 IU/pill) | Serum IgE (IU/mL) | ||||||
Serum IgE | ||||||||
62% decrease from 1,005 to 490 | ||||||||
Note: p values were not provided | ||||||||
Randomized, double-blind, placebo-controlled | To evaluate the effect of oral vitamin E on AD treatment | Isafahan, Iran | Vitamin E | 1 pill/day for 4 months consecutively | AD severity | ↓ in mean patient SCORAD score | SCORAD | Jaffary et al. [26] (2015) |
70 (35 treated vs. 35 placebo) | (400 IU/pill) | Before [11.12] and after [3.89] with [p < 0.05] | ||||||
Dietary fats ( n = 6) | ||||||||
Randomized, double-blind | To examine the effect of dietary supplementation of n-3 fatty acids on immune changes | Norway | N-3 fatty acid (1 g of highly concentrated ethyl esters of very long-chain n-3 fatty acids)1 | 6 capsules/day for 4 months | T cell proliferation | ↓ in CD25+ lymphocytes | CD25 + (%) | Soyland et al. [27] (1994) |
Before [40.5] and after [35.5] with [p < 0.05] | ||||||||
Correlation | ||||||||
21 (10 treated with n-3 fatty acids vs. 11 corn oil controls) | Cytokine measurement | A significant correlation between diet-induced decrease in CD25+ cells and TNF secretion | ||||||
(CD25 + cells/TNF) | ||||||||
[r = 0.80, p < 0.01] | ||||||||
Randomized, double-blind, multicenter study | To investigate if fish oil/corn oil had a beneficial effect on AD | Norway | Clinical symptoms | ↓ in mean erythema, induration, pruritus, lichenification, scaling, and area affected | Erythema | Soyland et al. [28] (1994) | ||
Before [5.0±0.3] and after [3.6±0.3] with [p < 0.001] | ||||||||
Induration | ||||||||
Before [4.0±0.3] and after [2.8±0.3] with [p < 0.05] | ||||||||
Pruritus | ||||||||
Before [5.9±0.3] and after [4.0±0.3] with [p < 0.001] | ||||||||
145 (57 treated with fish oil vs. 63 corn oil controls) | Lichenification | |||||||
Before [5.0±0.3] and after [3.2±0.3] with [p < 0.01] | ||||||||
Scaling | ||||||||
Before [5.0±0.3] and after [3.0±0.3] with [p < 0.01] | ||||||||
Area affected | ||||||||
Before [2.0±0.2] and after [1.2±0.2] with [p < 0.05] | ||||||||
Randomized, double-blind, placebo-controlled | To determine the efficacy of dietary n-3 PUFA DHA in AD patients | Berlin, Germany | Docosahexaenoic acid (DHA) | 1 pill/day for 8 weeks consecutively | AD severity | ↓ in mean patient SCORAD score and IgE levels | SCORAD | Koch et al. [29] (2008) |
Before [37.0] and after [33.4] with [p = 0.009] | ||||||||
53 (28 treated vs. 25 placebo) | (5.4 g/pill) | IgE synthesis | IgE (ng/mL) | |||||
Before [44.2±38.3] and after [15.2±12.9] with [p = 0.013] | ||||||||
Randomized, parallel, double-blind, placebo-controlled | To investigate the effects of seed and pulp oils of sea buckthorn on AD | Turku, Finland | Sea buckthorn seed (Hippophaë rhamnoides) and pulp oils | 10 capsules/day for 4 months | AD severity | ↓ in mean patient SCORAD score with sea buckthorn pulp oil treatment | SCORAD | Yang et al. [30] (1999) |
45 (27 treated vs. 18 placebo) | Before [37.2±17.7] and after [29.2±20.8] with [p < 0.01] | |||||||
To investigate whether evening primrose oil was effective in AD | India | Epogam | 6 capsules twice/day for 16 weeks | AD severity | No statistically significant difference in skin parameters from placebo | Epogam | Berth-Jones et al. [31] (1993) | |
123 | (500 mg evening primrose oil) | [p = 0.74] | ||||||
(41 treated with Epogam) | Efamol | Efamol | ||||||
(41 treated with Efamol) | ||||||||
(41 given marine placebo) | (430 mg evening primrose oil and 107 mg marine fish oil) | [p = 0.26] | ||||||
Randomized, double-blind, placebo-controlled | To evaluate the efficacy and safety of evening primrose oil in Korean patients with AD | Korea | Evening primrose oil | 8 capsules/day for 4 months consecutively | AD severity | ↓ in mean patient EASI score by month 4 | EASI | Chung et al. [32] (2018) |
Before [4.69±1.63] and after [2.80±0.87] with [p = 0.01] | ||||||||
TEWL | TEWL (at forearms) | |||||||
Experimental [−3.05±8.26] versus control [−1.60±7.10] with [p = 0.714] | ||||||||
50 (25 treated vs. 25 placebo) | (450 mg/capsule) | Skin hydration | Improvement in skin parameters is no statistically significant | Skin hydration (at forearms) | ||||
Experimental 6.57±11.94] and control [3.03±9.06] with [p = 0.470] | ||||||||
Subjective pruritus | Subjective pruritus | |||||||
Before [4.3±1.1] and after [4.1±1.4] with [p = 0.343] | ||||||||
Probiotics and prebiotics (n = 7) | ||||||||
Randomized, double-blind, placebo-controlled | To investigate the clinical effect of a supplementary diet containing heat-killed lactic acid bacterium (LAB) on adult patients with AD | Japan | Lactobacillus paracasei K71 (100 mg/dose with ∼2.0 × 1011 CFU) | 100 mg probiotic powder and 400 mg dextrin over 12 weeks | AD severity | ↓ in mean patient skin severity score and improvement in quality of life | Skin severity scores | Moroi et al. [33] (2011) |
[−27.1% reduction] with [p < 0.05] | ||||||||
34 (17 treated vs. 17 placebo) | Quality of life | QOL scores | ||||||
[−29.3% reduction] with [p < 0.05] | ||||||||
Randomize, double-blind, placebo-controlled | To assess changes in SCORAD and immune responses in adults with mild-to-moderate AD after LP IS-10506 supplementation | Surabaya, Indonesia | Lactobacillus plantarum (LP) (IS-10506) | Daily dose over 8 weeks | AD severity | ↓ in mean patient skin severity scores and | SCORAD | Prakoeswa et al. [34] (2022) |
Before [34.79±12.41] and after [9.6133±2.552] with [p < 0.001] | ||||||||
Cytokines | IL-4 (pg/mL) | |||||||
30 (15 treated vs. 15 placebo) | (2.0 × 1010 CFU/dose) | Before [3.32±0.52] and after [0.414±0.2336] with [p < 0.001] | ||||||
Expression | IL-17 (pg/mL) | |||||||
Before [5.50±2.36] and after [2.236±2.000] with [p < 0.001] | ||||||||
Randomized, double-blind, placebo-controlled | To evaluate the efficacy of a food supplement containing selected strains of probiotics in ameliorating AD symptoms in adults | Italy | Probiotic mixture consisting of | One capsule of probiotic mix daily for 56 days | AD severity | ↓ in mean patient SCORAD scores | SCORAD | Michelotti et al. [35] (2021) |
1.0 × 109 CFU | Before [20.9±0.5] and after [13.7±0.6] with [p < 0.001] | |||||||
TEWL | ||||||||
L. plantarum PBS067 | Skin measurements | Before [14.6±1.3] and after [12.0±1.0] with [p < 0.001] | ||||||
1.0 × 109 CFU | Skin moisture | |||||||
Before [23.1±0.9] and after [29.4±1.2] with [p < 0.001] | ||||||||
80 (40 treated vs. 40 placebo) | L. reuteri PBS072 | Improvement in TEWL, skin moisturization, and ↓ in TNF-α, TARC, and TSLP expression | TNF-α (pg/mL) | |||||
Before [108.2±9.3] and after [72.7±6.1] with [p < 0.001] | ||||||||
1.0 × 109 CFU | Inflammatory markers in AD adults | TARC (pg/mL) | ||||||
Before [23.8±0.2] and after [22.3±0.1] with [p < 0.001] | ||||||||
L. rhamnosus | TSLP (pg/mL) | |||||||
Before [28.9±0.5] and after [25.9±0.4] with [p < 0.001] | ||||||||
Randomized, single-blind, placebo-controlled | To determine the effects of probiotics on the clinical symptoms, immune responses, and gut microbiota in AD patients | China | 1.0 × 109 CFU | Daily dosage of indicated probiotic lyophilized powder over 8 weeks | AD severity | CCF8610 treatment ↓ in mean patient SCORAD scores and IL-10 expression | SCORAD | Fang et al. [36] (2020) |
109 | CCF8610 | |||||||
Lactobacillus plantarum (CCFM8610) | [p < 0.05] | |||||||
(43 treated with CCFM8610) | Quality of life | IL-10 (pg/mL) | ||||||
CCF8610 | ||||||||
1.0 × 109 CFU | CCFM8610 and CCFM16 changed gut microbiota composition to increase Bifidobacterium | |||||||
29 treated with CCFM16) | [p < 0.001] | |||||||
Gut microbiome | Bifidobacteria composition | |||||||
(26 treated with placebo) | Bifidobacterium bifidum F35 (CCFM16) | B. bifidum and B. animalis subsp. Lactis increased significantly | ||||||
(11 treated with oligose) | [p < 0.05] | |||||||
Randomized, double-blind, placebo-controlled | To evaluate the clinical and immunological effects of the intake of probiotic strain in the treatment of adult patients with moderate or severe AD | Italy | 1.0 × 109 CFU Lactobacillus salivarius | Twice per day for 16 weeks | AD severity | ↓ in mean patient SCORAD and DLQI scores in the treatment group at the end of 16 weeks | SCORAD | Drago et al. [37] (2011) |
Before [27.57±3.4] and after [13.14±0.27] with [p < 0.001] | ||||||||
Quality of life | ||||||||
38 (19 treated vs. 19 placebo) | (LS01) in 1 capsule | No changes to the serum IgE and IL-4/IFN-γ/IL-5/IL-12 | DLQI | |||||
Cytokine expression | ||||||||
Before [8.28±1.79] and after [4.42±0.27] with [p = 0.04] | ||||||||
Randomized, double-blind, placebo-controlled | To evaluate the clinical efficacy of an intake of a combination of 2 probiotics for the treatment of adult AD patients | Italy | Probiotic mixture consisting of | Each with a dose of 1.0 × 109 CFU/day for 12 weeks | AD severity | ↓ in mean patient SCORAD and DLQI scores | SCORAD | Iemoli et al. [38] (2012) |
After 3 months | ||||||||
Before [46.25±3.70] and after [29.45±2.01] with [p < 0.0001] | ||||||||
Lactobacillus salivarius | DLQI | |||||||
After 3 months | ||||||||
(LS01 DSM2275) | ↓ in microbial translocation, immune activation | Before [9.16±0.80] and after [6.58±1.25] with [p = 0.021] | ||||||
Microbial translocation | ||||||||
46 (31 treated vs. 15 placebo) | Bifidobacterium breve | Quality of life | [p = 0.050] | |||||
Immune activation | ||||||||
Improved Th17Treg and Th1/Th2 ratios from baseline after 3-month treatment | [p < 0.001] | |||||||
(BR03 DSM 11604) | Th17/Treg ratio | |||||||
[p = 0.029] | ||||||||
Th1/Th2 ratio | ||||||||
[p = 0.028] | ||||||||
Randomized, double-blind, placebo-controlled | To examine the effects of the probiotic Bifidobacterium animalis subsp. lactis LKM512 on adult-type AD | Japan | Bifidobacterium animalis subsp. Lactis | Each with a dose of 6.0 × 109 CFU/day for 8 weeks | Pruritus | ↓ in mean patient itch | Itch | Matsumoto et al. [39] (2014) |
44 (22 treated vs. 22 placebo) | (LKM512) | [p < 0.05] | ||||||
Major nutrients, excluding fats (n = 2) | ||||||||
Randomized, double-blind, placebo-controlled | To examine the effect of CTP on inflammation in AD | Japan | Collagen tripeptide (CTP) | 3.9 g/day for 12 weeks | AD severity | ↓ in mean patient SCORAD scores, TEWL, expression of selected cytokines, and STAT1 signaling | SCORAD | Hakuta et al. [40] (2017) |
[p = 0.002] | ||||||||
TEWL | ||||||||
Skin measurements | [p = 0.049] | |||||||
TARC (pg/mL) | ||||||||
[p < 0.01] | ||||||||
13 (7 treated vs. 6 placebo) | Cytokine expression | MDC (pg/mL) | ||||||
[p < 0.0001] | ||||||||
TSLP (pg/mL) | ||||||||
TEWL | [p < 0.05] | |||||||
STAT1 signaling | ||||||||
[p < 0.01] | ||||||||
Randomized, placebo-controlled | To investigate whether sucrose is an aggravating factor in AD | Germany | Sucrose | 100 g/day in ice-cold black tea for 10 days | AD severity | No statistically significant changes in mean patient SCORAD scores and ECP levels | SCORAD | Ehlers et al. [41] (2001) |
Before [28.3] and after [28.9] with [p > 0.05] | ||||||||
20 adults | ECP expression | ECP (μg/L) | ||||||
Before [1.17] and after [1.22] with [p > 0.05] | ||||||||
Natural sources (n = 4) | ||||||||
Randomized, double-blind, placebo-controlled | To evaluate the efficacy and safety of Hochu-ekki-to in the management of Kikyo patients with AD | Japan | Traditional herbal medicine | 7.5 g extract over 24 weeks | AD severity | ↓ in total equivalent amount of topical agents used but no statistically difference in skin severity scores | Topical agent usage | Kobayashi et al. [42] (2008) |
78 (38 treated vs. 40 placebo) | Hochu-ekki-to | Use of topical agents | [p < 0.05] | |||||
Not specified | To study if drinking deep-sea water improves mineral imbalance in mild-to-moderate AEDS | Japan | Deep-sea water | 500 mL/day for 6 months | Skin symptoms | Improvement in skin symptoms | Skin symptoms | Hataguchi et al. [43] (2005) |
27/33 patients showed improvement in their skin symptoms | ||||||||
33 | ||||||||
[p < 0.05] | ||||||||
Randomized, double-blind, placebo-controlled | To evaluate the safety and AD-relieving effects of prolonged fig leaf tea consumption in patients with mild AD | Osaka, Japan | Fig leaf tea | 500 mL/day over 12 weeks | AD severity | ↓ in EASI and POEM scores only | EASI | Abe et al. [44] (2022) |
TARC expression | Before [5.83±3.89] and after [3.63±1.96] with [p < 0.05] | |||||||
30 (15 treated vs. 15 placebo) | IgE levels | POEM | ||||||
Th1/Th2 ratio | Before [9.8±5.9] and after [7.5±7.1] with [p < 0.05] | |||||||
Randomized, double-blind, placebo-controlled | To assess the efficacy and safety of whey associated with dodder seed extract in the treatment of moderate-to-severe AD adults | Iran | Dodder seed extract | Daily dosage of 4 × 500 mg over 30 days | Skin measurements | Improvement in skin moisture, elasticity, pruritus, and experienced lesser sleep disturbance | Skin moisture | Mehrbani et al. [45] (2015) |
Before [13.43±2.08] and after [29.91±1.68] with [p < 0.001] | ||||||||
Skin elasticity | ||||||||
Before [56.04±5.32] and after [79.01±2.96] with [p < 0.001] | ||||||||
52 (26 treated vs. 26 placebo) | (Cuscuta campestris Yuncker) | Pruritus | ||||||
Before [5.7±0.45] and after [2.04±0.32] with [p < 0.001] | ||||||||
Sleep disturbance | ||||||||
Before [2.41±0.57] and after [0.66±0.20] with [p < 0.005] | ||||||||
Biological compounds (n = 2) | ||||||||
Randomized, double-blind, placebo-controlled | To investigate the role of ingested histamine as an aggravating factor in adult patients with AD | Berlin, Germany | Histamine | Maintain histamine-free diet for 2 weeks prior to the challenge of histamine-hydrochloride | AD severity | ↓ in SCORAD scores and DAO activity | SCORAD | Worm et al. [46] (2009) |
Before [47.0±6.0] and after [31±4.0] with [p = 0.002] | ||||||||
36 AD adults | Diamine oxidase activity | DAO activity | ||||||
[p = 0.036] | ||||||||
Randomized, double-blind, placebo-controlled, crossover | To examine the effects of daily oral L-histidine supplementation on disease severity in adult AD patients | Manchester, England | L-histidine | 1 sachet/day for 4 weeks crossed over to placebo (4 g erythritol) for the next 4 weeks | AD severity | ↓ in SCORAD and POEM scores | SCORAD | Tan et al. [47] (2017) |
A 34.0% reduction in SCORAD with [p = 0.0029] | ||||||||
21 AD adults | (4 g/sachet) | POEM | ||||||
A 39.0% reduction in POEM with [p = 0.001] | ||||||||
Diet-related approach (n = 2) | ||||||||
Open trial | To investigate whether dietary supplementation with PUFA of the omega-3 series and omega 6 series, vitamins, and minerals have a clinical effect on AD | Oslo, Norway | Supplements consisting of | Daily supplementation for 16 weeks | AD severity | ↓ in mean patient SCORAD scores | SCORAD | Eriksen et al. [48] (2006) |
GLA, LA, ALA, EPA, and DHA | ||||||||
17 AD adults | Vitamins C and E | Almost 50.0% reduction in SCORAD with [p < 0.001] | ||||||
Zinc (23 mg) | ||||||||
To assess whether a vegetarian diet is effective for AD and identify the immunological mechanisms | Japan | Vegetarian diet consisting of | Vegetarian diet daily for 2 months | AD severity | ↓ in mean patient SCORAD scores, eosinophil counts, LDH5 activity, NK activity, peripheral neutrophil counts, PGE2 synthesis, and PGE2/monocyte ratio | SCORAD | Tanaka et al. [49] (2001) | |
Before [49.9±18.6] and after [27.4±16.8] with [p < 0.001] | ||||||||
Immune cell counts | Eosinophil count (cells/μL) | |||||||
Breakfast | Before [423±367] and after [213±267] with [p < 0.01] | |||||||
LDH5 (IU/mL) | ||||||||
Cytokine expression | Before [45.8±21.3] and after [36.0±12.8] with [p < 0.01] | |||||||
Fresh vegetable juice (correspond to 250 g of fresh vegetables) | Serum IgE (IU/mL) | |||||||
Before [6,990±8,362] and after [6,234±7,222] with [p > 0.05] | ||||||||
20 AD adults | NK activity | |||||||
Lunch and dinner Brown rice porridge (correspond to 80 g brown rice) sprinkled with 5 g of kelp powder, 200 g tofu, and 10 g of sesame paste | Serum IgE | Before [46.5±5.3] and after [14.1±8.9] with [p < 0.001] | ||||||
Neutrophil count (cells/μL) | ||||||||
Before [3,893±2,512] and after [2,007±884] with [p < 0.001] | ||||||||
PGE2 (pg/mL) | ||||||||
NK cells and LDH5 activities | Before [2,886±1,443] and after [1,390±773] with [p < 0.001] | |||||||
A daily requirement of 2.5 g of non-refined salt was added | PGE2/monocyte (pg/mL) | |||||||
Before [0.0078±0.0023] and after [0.0041±0.0021] with [p < 0.05] |
Targeted group (adults aged ≥18 years, n = 31). AD, atopic dermatitis; ALA, alpha-linolenic acid; AMP, antimicrobial peptide; CAMP, cathelicidin; CD, cluster of differentiation; CFU, colony-forming unit; DAO, diamine oxidase; DHA, docosahexaenoic acid; DLQI, dermatology life quality index; EASI, eczema area and severity index; ECP, eosinophilic cationic protein; EPA, eicosatetraenoic acid; GLA, gamma-linolenic acid; IFN-γ, interferon-gamma; IgE, immunoglobulin E; IL, interleukin; IU, international unit; KYNA, kynurenic acid; LA, linolenic acid; LDH5, lactate dehydrogenase 5; MDC, macrophage-derived chemokine; n-3, Omega-3; NK, natural killer; PGE2, prostaglandin E2; POEM, patient-oriented eczema measurement; PUFA, polyunsaturated fatty acids; QOL, quality of life; SCORAD, SCORing atopic dermatitis; SOD, superoxide dismutase; STAT1, signal transducer and activator of transcription 1; TARC, thymus and activation-regulated chemokine; TEWL, transepidermal water loss; Th, t-helper; TIS, three-item severity score; TNF, tumor necrosis factor; Treg, regulatory T cell; TSLP, thymic stromal lymphopoietin.
Pregnant and/or Lactating Women
Twenty articles focused on pregnant and/or lactating women population and these studies examined fewer dietary interventions [50–69] (Table 3). Among these, probiotic and prebiotic supplementation (n = 12) emerged as the most frequently studied intervention. Specifically, seven studies [56–62] within this group focused on Bifidobacterium spp. which was less examined in the adult population. While vitamin supplementation (n = 2) was less explored with only one study showing a significantly reduced risk of AD in infants observed at the early age of 12 months [50]. Prenatal diets supplemented with dietary fat (n = 4) were observed to have limited impacts on the prevalence of AD in infants until a certain age [52, 53]. Two separate studies investigating maternal diet elimination on common food allergens such as eggs [68], cow’s milk, and fish [69] reported a reduction in the incidence of AD among infants.
Table 3.
Study design | Main objective | Study population and sample size | Diet factor-of-interest (type, dose) | Duration | Main disease/outcome studied | Main clinical effects (changes reported) | Study reference (year) | |
---|---|---|---|---|---|---|---|---|
Vitamins (n = 2) | ||||||||
Randomized, double-blind, placebo-controlled | To examine the influence of maternal cholecalciferol supplementation during pregnancy on the risk of atopic eczema in the offspring at ages 12, 24, and 48 months | United Kingdom | Vitamin D3 | 1 capsule/day from 14 weeks’ gestation till delivery | AE risk | Lower odds ratios of AE only at age 12 months | Risk of AE | El-Heis et al. [50] (2022) |
At 12 months | ||||||||
703 (352 treated vs. 351 placebo) | [OR: 0.55; 95% CI: 0.32–0.97; p = 0.04] | |||||||
(1,000 IU/capsule) | ||||||||
At 24 months | ||||||||
[OR: 0.75; 95% CI: 0.37–1.52; p > 0.05] | ||||||||
To elucidate whether maternal vitamin D supplementation during lactation improves infantile eczema and subsequent allergic disorders | Japan | Vitamin D3 | 1 capsule for 6 weeks consecutively | Infantile eczema severity | No statistically significant differences between SCORAD scores of vitamin D and placebo group | SCORAD | Norizoe et al. [51] (2014) | |
164 (82 treated vs. 82 placebo) | (800 IU/capsule) | Vitamin D3 treated (4.75±7.49) versus placebo (3.95±5.36) with [p > 0.05] | ||||||
Dietary fats (n = 4) | ||||||||
Randomized, double-blind, placebo-controlled | To investigate the effects of the LC-PUFA supplementation on IgE-associated diseases last up to 2 years of age | Sweden | n-3 fatty acids (EPA, DHA) | 9 capsules/day for 5.3 weeks (SD 3.4) | IgE-associated diseases | Lowered cumulative incidence of IgE-associated diseases | Incidence of IgE-associated disease | Furuhjelm et al. [52] (2010) |
6/54 (13.0%) | ||||||||
[p = 0.01] | ||||||||
120 (54 treated vs. 66 placebo) | Severity of infant allergic disease | Higher proportions of DHA and EPA in maternal and infant plasma phospholipids were associated with a ↓ severity of allergic phenotypes | Incidence of IgE-associated eczema | |||||
5/54 (9.26%) | ||||||||
[p = 0.04] | ||||||||
Randomized, parallel, double-blind, placebo-controlled | To assess the effect of dietary supplementation with BCSO on the prevalence of atopy at 12 months of age | Finland | Blackcurrant seed oil (BCSO) | 3 g/day during 8th to 16th week of pregnancy | AD prevalence and severity | Lowered prevalence of infant AD at 12 months | Prevalence of AD | Linnamaa et al. [53] (2010) |
33/100 children with AD in BCSO group | ||||||||
[p = 0.035] | ||||||||
313 (151 treated vs. 162 placebo) | ↓ in mean SCORAD score at 12 months | SCORAD | ||||||
80/100 children have a SCORAD class of 1 | ||||||||
[p = 0.035] | ||||||||
To determine the impact of PUFAs on AD by dietary supplementation of infants | Germany | γ-linolenic acid (GLA) | 40 mg GLA/day over first 5 months of pregnancy | AD prevalence | Lowered serum IgE in breastfed infants with AD at age of 12 months | Total serum IgE (IU/mL) | Kitz et al. [54] (2006) | |
131 (55 treated vs. 76 placebo) | Total serum IgE | GLA+ (10.0) versus GLA- (125.0) at 12 months | ||||||
[p < 0.01] | ||||||||
Randomized, double-blind, placebo-controlled | To assess whether an increased intake of oily fish in pregnancy modifies neonatal immune responses and early markers of atopy | United Kingdom | Salmon fish (150 g/portion) | 2 portions/day from 20th week of pregnancy till delivery | Selected cytokine production by CBMC | ↓ in IL-2 in response to dermatophagoides pteronyssinus allergen 1 only | IL-2 response | Noakes et al. [55] (2012) |
Total IgE | [p ≤ 0.03] | |||||||
123 (62 treated vs. 61 placebo) | AD severity | |||||||
Probiotics and prebiotics (n = 12) | ||||||||
Open trial | To investigate the effects of bifidobacterial supplementation on the risk of developing allergic diseases in the Japanese population | Wakayama, Japan | 5 × 109 CFU | 1 g sachet containing 5 × 109 CFU over 4 weeks prior to delivery and 6 months postnatally to their infants | Risk of AD development | ↓ in the risk of AD development during the first 18 months of life | Risk of AD | Enomoto et al. [56] (2014) |
Bifidobacterial | At 18 months | |||||||
[OR: 0.304; 95% CI: 0.105–0.892; p = 0.033] | ||||||||
166 (130 treated vs. 36 placebo) | Fecal microbiota composition | ↓ in proteobacteria composition among treated mothers | Proteobacteria composition | |||||
Supplementation (B. longum) | At 10 months | |||||||
Probiotic group (1.59) versus placebo group (2.77) [p = 0.007] | ||||||||
Randomized, double-blind, placebo-controlled | To investigate whether supplementation of probiotics prevents the development of eczema in infants at high risk | Seoul, South Korea | Probiotic mixture consisting of | Taken daily from 8 weeks before the expected delivery to 3 months after delivery | AD prevalence | ↓ in prevalence and cumulative incidence of AD during the first 12 months of life | Prevalence of AD | Kim et al. [57] (2010) |
Probiotic group (18.2%) versus placebo group (40.0%) [p = 0.048] | ||||||||
1.6 × 109 CFU Bifidobacterium lactis (AD011) | ||||||||
112 (57 treated vs. 55 placebo) | Cumulative incidence of AD during first 12 months | |||||||
1.6 × 109 CFU Lactobacillus acidophilus (AD031) | ||||||||
Probiotic group (36.4%) versus placebo group (62.9%) [p = 0.029] | ||||||||
Randomized, double-blind, placebo-controlled, parallel | To study the effect of a mixture of 4 probiotic bacterial strains along with prebiotic galacto-oligosaccharides in preventing allergic diseases | Helsinki, Finland | Probiotic capsule consisting of | 2 capsules/daily during 2–4 weeks before delivery (mother) | Cumulative incidence of allergic diseases | ↓ in prevalence and cumulative incidence of IgE-associated diseases such as eczema and AE | Risk of eczema | Kukkonen et al. [58] (2006) |
[OR: 0.74; 95% CI: 0.55–0.98; p = 0.035] | ||||||||
Risk of AE | ||||||||
5.0 × 109 CFU Lactobacillus rhamnosus GG | [OR: 0.66; 95% CI: 0.46–0.95; p = 0.025] | |||||||
Prevalence of probiotic bacteria at 6 months | ||||||||
1,223 (610 treated vs. 613 placebo) | Gut microbiota composition | Lactobacilli and bifidobacterial more frequently colonized the guts of supplemented infants | L. rhamnous GG | |||||
5.0 × 109 CFU Lactobacillus rhamnosus LC705 | [RR: 3.96; 95% CI: 2.39–6.55; p < 0.001] | |||||||
L. rhamnous LC705 | ||||||||
1 capsule/day mixed with 0.8 g galacto-oligosaccharides for 6 months (infant) | ||||||||
[RR: 28.3; 95% CI: 3.98–200; p < 0.001] | ||||||||
2.0 × 108 CFU Bifidobacterium breve Bb99 | Propionibacterium JS | |||||||
[RR: 14.4; 95% CI: 3.61–57.3; p < 0.001] | ||||||||
Bifidobacterial total | ||||||||
2.0 × 109 CFU Propionibacterium freudenreichii ssp. Shermanii JS | [RR: 1.13; 95% CI: 1.01–1.27; p = 0.039] | |||||||
Helsinki, Finland | Cumulative incidence of allergic diseases and IgE sensitization | ↓ in prevalence of IgE-associated allergic disease in cesarean-delivered children only | Incidence of IgE-associated disease | Kuitunen et al. [59] (2009) | ||||
Probiotic [24.3%] vs. placebo [40.5%] | ||||||||
891 (445 treated vs. 446 placebo) | ||||||||
[OR: 0.47; 95% CI: 0.23–0.96; p = 0.035] | ||||||||
Randomized, double-blind, placebo-controlled, parallel | To evaluate a multi-strain, high-dose probiotic in the prevention of eczema | Swansea, Wales | Probiotic capsule consisting of | 1 capsule/daily from 36 weeks’ gestation till delivery (mother) | Eczema at age 2 years | No statistically significant between the treated and placebo arms for the cumulative frequency of diagnosed eczema at 2 years | Cumulative frequency of eczema | Allen et al. [60] (2014) |
6.25 × 109 CFU Lactobacillus salivarius (CUL61) | Probiotic [34.1%] versus placebo [32.4%] | |||||||
454 (220 treated vs. 234 placebo) | 1.25 × 109 CFU | 1 capsule/daily from birth to age 6 months (infant) | Incidence of atopic eczema in early childhood | [OR: 1.07; 95% CI: 0.72–1.60] | ||||
Bifidobacterium animalis subsp lactis (CUL34) | Incidence of atopic eczema | |||||||
1.25 × 109 CFU | Probiotic [5.3%] vs. placebo [12.1%] | |||||||
Bifidobacterium bifidum (CUL20) | [OR: 0.40; 95% CI: 0.18–0.91] | |||||||
Randomized, double-blind, placebo-controlled | To determine whether probiotic supplementation in early life could prevent development of eczema and atopy at 2 years | New Zealand | 6.0 × 109 CFU | Either 1 capsule of HN001 or HN019 daily at 35 weeks’ gestation till delivery (mother) | Cumulative prevalence of eczema | Treated infants had a significantly reduced risk of eczema with HN001 only | Risk of eczema | Wickens et al. [61] (2008) |
Lactobacillus rhamnosus | ||||||||
512 | (HN001) | HN001 | ||||||
(170 treated with HN001) | 9.0 × 109 CFU | [HR: 0.51; 95% CI: 0.30–0.85] | ||||||
(171 treated with HN019) | Bifidobacterium animalis subsp. lactis | HN019 | ||||||
(171 placebo) | (HN019) | [HR: 0.90; 95% CI: 0.58–1.41] | ||||||
Randomized, double-blind, placebo-controlled | To examine whether Th cell proportions were affected by maternal probiotic supplementation and thus could mediate the preventive effect of probiotics on AD | Trondheim, Norway | Probiotic capsule consisting of | One probiotic capsule per day from 36 weeks’ gestation to 3 months postnatally while breastfeeding | T-helper cell proportions | ↓ proportion of Th22 cells in probiotic group | Proportion of Th22 cells | Rø et al. [62] (2017) |
5.0 × 1010 CFU | ||||||||
Lactobacillus rhamnosus (LGG) | ||||||||
5.0 × 1010 CFU | Probiotic group [median 0.038%] versus placebo group [median 0.064%] | |||||||
415 (211 treated vs. 204 placebo) | Proportion of Th22 was increased in children who developed AD. [p < 0.001] | |||||||
Bifidobacterium animalis subsp. lactis (Bb-12) | ||||||||
5.0 × 109 CFU | [p = 0.009] | |||||||
Lactobacillus acidophilus (La-5) | ||||||||
Randomized, double-blind, placebo-controlled, parallel | To prevent eczema and sensitization in infants with a family history of allergic disease by oral supplementation with the probiotic Lactobacillus reuteri | Sweden | 1.0 × 108 CFU | 5 oil droplets (1 × 108 CFU)/day 4 weeks before birth (mother) | Allergic disease prevalence | Treated group has less IgE-associated eczema during the second year | Incidence of IgE-associated eczema | Abrahamsson et al. [63] (2007) |
Before [20.0%] versus after [8.0%] | ||||||||
232 (117 treated vs. 115 placebo) | Lactobacillus reuteri | Same amount from birth till 12 months of age (infant) | ||||||
[p = 0.02] | ||||||||
Randomized, double-blind, placebo-controlled | To assess the effect on atopic disease of Lactobacillus GG | Turku, Finland | 1.0 × 1010 CFU | 1.0 × 1010 CFU Lactobacillus GG/day for 2–4 weeks before delivery and postnatally for 6 months | Atopic eczema prevalence | ↓ frequency of atopic eczema in the treated group | Incidence of IgE-associated eczema | Kalliomäki et al. [64] (2001) |
159 (77 treated vs. 82 placebo) | Lactobacillus GG | Probiotic group [23.0%] versus placebo group [46%] | ||||||
Randomized, double-blind, placebo-controlled | To examine whether prenatal treatment with the probiotic Lactobacillus GG can influence the risk of eczema during pregnancy | Melbourne, Australia | 1.8 × 1010 CFU | 1.8 × 1010 CFU/day from 36 weeks’ gestation until delivery | Risk of eczema during infancy | No association between reduced risk of eczema or IgE-associated eczema and probiotic treatment | Risk of eczema | Boyle et al. [65] (2011) |
Probiotic group [34.0%] versus placebo group [39.0%] | ||||||||
[RR: 0.88; 95% CI: 0.63–1.22] | ||||||||
250 (125 treated vs. 125 placebo) | Lactobacillus GG | Risk of IgE-associated eczema | ||||||
Probiotic group [18.0%] versus placebo group [19.0%] | ||||||||
[RR: 0.94; 95% CI: 0.53–1.68] | ||||||||
Randomized, double-blind, placebo-controlled | To evaluate the effectiveness of prenatal and postnatal probiotics in the prevention of early childhood and maternal allergic diseases | Taiwan | 1.0 × 1010 CFU | 1.0 × 1010 CFU/day from 24 weeks’ gestation until delivery | Cumulative prevalence of sensitization and developing of allergic diseases | No statistically significant effects on sensitization and development of allergic diseases between placebo and LGG group | Incidence of sensitization | Ou et al. [66] (2012) |
At 36 months | ||||||||
Probiotic group [41.5%] versus placebo group [53.6%] | ||||||||
[p = 0.27] | ||||||||
191 (95 treated vs. 96 placebo) | Lactobacillus GG (ATCC 53103) | Incidence of allergic disease | ||||||
At 36 months | ||||||||
Probiotic group [26.8%] versus placebo group [29.3%] | ||||||||
[p = 0.81] | ||||||||
Randomized, double-blind, placebo-controlled | To evaluate the effect of probiotic Lactobacillus reuteri supplementation on the immunological composition of breast milk in relation to sensitization and eczema in the babies | Sweden | Lactobacillus reuteri (55730) | From 36 weeks’ gestation until delivery (dose not specified) | Immunological composition of breast milk in relation to eczema in babies | ↓ TFG-β2 levels and development of sensitization at 24 months | TFG-β2 levels in the colostrum | Böttcher et al. [67] (2008) |
Probiotic group [674] versus placebo group [965] | ||||||||
109 (54 treated vs. 55 placebo) | [p = 0.02] | |||||||
Development of sensitization | ||||||||
[Adjusted OR: 0.3; 95% CI: 0.1–0.9; p = 0.04] | ||||||||
Diet-related approaches (n = 2) | ||||||||
Randomized, single-blind, parallel | To determine whether egg avoidance diet by nursing mothers should avoid allergenic foods as a preventive sensitization | Indonesia | Eggs (diet elimination) | Avoiding eggs in diets from delivery till 4 months of lactation | AD incidence | ↓ the incidence of AD in infants among egg avoidance nursing mothers | AD incidence | Nurani et al. [68] (2008) |
79 (39 avoidance vs. 40 non-avoidance controls) | Non-egg avoidance | |||||||
[OR: 14.76; 95% CI: 1.76–123.39; p = 0.010] | ||||||||
Match pair | To determine if a diet free of eggs, cow’s milk, and fish during early lactation reduced atopy/allergic manifestations | Sweden | Eggs, cow’s milk, and fish (diet elimination) | Diet avoidance during the first 3 months of lactation | Allergic manifestations | ↓ the incidence of AD in the maternal diet group during the first 6 months postpartum only | Cumulative incidence of AD | Sigurs et al. [69] (1992) |
Intervene (10.8%) versus control (28.0%) | ||||||||
115 (65 avoidance vs. 50 non-avoidance controls) | [p < 0.05] |
Targeted group (pregnant and lactating women, n = 20). AE, atopic eczema; AS, allergic asthma; AR, allergic rhinitis; CBMC, cord blood mononuclear cells; CFU, colony-forming units; DHA, docosahexaenoic acid; EPA, eicosatetraenoic acid; HR, hazard ratio; IgE, immunoglobulin E; IL, interleukin; IU, international unit; LC-PUFA, long-chain polyunsaturated fatty acids; SCORAD, SCORing atopic dermatitis; SD, standard deviation; TFG-β2, transforming growth factor-beta 2, Th, t-helper.
Pediatric Population
The majority of intervention studies focused on the younger population (age <18 years), with a total of fifty-four articles directed toward understanding and managing AD within the pediatric population [70–122] (Table 4). There were a considerable number of studies investigating probiotic and prebiotic supplementation in pediatrics (n = 30). This highlights a strong interest in using gut health and microbial modulation as early-life interventions for AD in the field. Almost all studies focused on two particular genera (Lactobacillus and Bifidobacterium). Of these, sixteen studies explored Lactobacillus rhamnosus (L. rhamnosus) either independently [85–91] or in conjunction with another probiotic strain [100–108]. It is important to note that various studies utilized distinct L. rhamnosus strains such as LGG (ATCC 53103) [85, 86], LCS-742 [102], and 19070-2 [103]. Interestingly, the outcomes revealed a mixed response as certain strains demonstrated improvements in AD severity, while others did not exhibit significant therapeutic effects. This variation underscores the complexity of strain-specific analysis, suggesting that not all strains within the L. rhamnosus species may address AD severity. Three separate studies demonstrated that prebiotic supplementation has effective long-term protective effects on AD and were associated with a reduction in plasma levels of total IgE [112] and a lowered risk of AD [113]. For vitamin supplementation, vitamin D3 (n = 12) [70–80] was exclusively studied in the pediatric population, while investigations on dietary fats (n = 4) explored γ-linolenic acid [81, 82], docosahexaenoic acid [83, 84], and arachidonic acid [83]. Studies on diet-related approaches (n = 5) involved avoidance of monosodium glutamate [118], eggs [120, 122] and/or cow’s milk [120], supplementation with whey or casein [121], and selected foods consumption [119]. These interventions [120–122], however, showed limited improvement in disease severity. A single study employing an open-label, case-control design demonstrated that pancreatic enzyme supplementation represents a safe and effective approach to reducing the severity of AD among affected children [117]. This is the only single study that utilized biological compounds in pediatrics. Conflicting outcomes were observed in two separate studies investigating hydrolyzed protein formulas with one indicating a potential reduction in eczema risk for predisposed children [115] while another highlighted no significant difference in the incidence of AD [116].
Table 4.
Study Design | Main objective | Study population and sample size | Diet factor-of-interest (type, dose) | Duration | Main disease/outcome studied | Main clinical effects (changes reported) | Study reference (year) | ||||
---|---|---|---|---|---|---|---|---|---|---|---|
Vitamins (n = 11) | |||||||||||
Randomized, double-blind, placebo-controlled | To evaluate the impact of vitamin D supplementation on response to standard treatment in pediatrics with severe AD | Egypt | Vitamin D3 | 2 capsule/day for 12 weeks (with baseline therapy of topical 1% hydrocortisone cream twice daily for 3 months) | AD severity | ↓ in the mean EASI scores | EASI | Mansour et al. [70] (2020) | |||
86 (44 treated vs. 42 placebo) | (1,600 IU/capsule) | Before [44.4±6.28] versus after [20.42±14.6] with [p = 0.035] | |||||||||
Randomized, double-blind, placebo-controlled | To determine the effect of vitamin D supplementation on winter-related AD | Mongolia | Vitamin D3 | 1,000 IU/day for 1 month | AD severity | ↓ in the mean EASI scores | EASI | Camargo et al. [71] (2014) | |||
Before [21±9] versus after [14.5±8.8] with [p = 0.01] | |||||||||||
107 (58 treated vs. 49 placebo) | (1,000 IU/capsule) | Quality of life | Improvement in IGA at 1 month of treatment | IGA | |||||||
[Fisher’s exact test p = 0.03] | |||||||||||
[p for trend = 0.04] | |||||||||||
Randomized, double-blind, placebo-controlled | To determine whether vitamin D levels are correlated with AD severity and the effects of vitamin D supplementation on disease modification | Canada | Vitamin D3 | 2 drops of vitamin D3/day for 3 months | AD severity | No statistically significant difference in the SCORAD scores between supplementation and placebo arm after 3 months of intervention | SCORAD | Lara-Corrales et al. [72] (2019) | |||
45 (21 treated vs. 24 placebo) | (1,000 IU/drop) | Treatment group [15.35±9.71] versus placebo group [15.13±8.97] with [p = 0.07] | |||||||||
Randomized, double-blind, placebo-controlled | To assess vitamin D3 serum levels in a pediatric population suffering from chronic eczema (IgE-mediated and non-IgE-mediated) | Italy | Vitamin D3 | 1 capsule/day for 3 months | IgE-associated and non-IgE-mediated chronic eczema and their severity | No statistically significant correlation between vitamin D serum levels, SCORAD index, and total IgE levels in both sensitized and non-sensitized children after 3 months intervention | Correlation | Galli et al. [73] (2015) | |||
Sensitized eczema children | |||||||||||
Vitamin D (ng/mL) | |||||||||||
[48.0±41.6] | |||||||||||
Total IgE (IU/mL) | |||||||||||
[577.0±994.0] | |||||||||||
SCORAD | |||||||||||
[18.1±17.7] | |||||||||||
[p for comparisons between Vit D and total IgE = 0.41] | |||||||||||
89 (41 treated vs. 48 placebo) | (2,000 IU/capsule) | Non-sensitized eczema children | |||||||||
Vitamin D (ng/mL) | |||||||||||
[48.8±39.3] | |||||||||||
Total IgE (IU/mL) | |||||||||||
[18.9±9.7] | |||||||||||
SCORAD | |||||||||||
[16.5±16.5] | |||||||||||
[p for comparisons between Vit D and total IgE = 0.15] | |||||||||||
Randomized, double-blind, placebo-controlled | To determine the effects of vitamin D supplements on clinical impact including Staphylococcus aureus skin colonization evaluation in AD patients | Thailand | Vitamin D3 | 1 capsule/day for 4 weeks | AD severity | ↓ in SCORAD scores, S. aureus skin colonization and an inverse correlation between S. aureus skin colonization and SCORAD score | SCORAD | Udompataikul et al. [74] (2015) | |||
[p = 0.028] | |||||||||||
S. aureus colonization | |||||||||||
24 (12 treated vs. 12 placebo) | (2,000 IU/capsule) | S. aureus skin colonization | [p = 0.022] | ||||||||
Correlation | |||||||||||
[r = −1.0; p < 0.000] | |||||||||||
Randomized, double-blind, placebo-controlled | To investigate the relationship between vitamin D3 and AD | India | Vitamin D3 | 60,000 IU/week for 6 weeks | AD severity | ↓ in the mean SCORAD scores | SCORAD | Modi et al. [75] (2021) | |||
At 4 weeks | |||||||||||
60 (30 treated vs. 30 placebo) | Before [47.8±7.5] versus after [12.8±5.1] with [p = 0.03] | ||||||||||
Randomized, double-blind, parallel | To evaluate the effect of symbiotic and vitamin D3 supplements on the severity of AD among infants under 1 year of age | Iran | Vitamin D3 and multi-strain symbiotic mixture consisting of | 5 drops/day of symbiotic and 1,000 IU vitamin D3/daily for 2 months | AD severity | ↓ in the basal SCORAD scores in both symbiotic and vitamin D3 treatment groups as compared to control group | Symbiotic | Aldaghi et al. [76] (2022) | |||
2 × 109 CFU of | [p < 0.001] | ||||||||||
Lactobacillus rhamnosus | |||||||||||
Vitamin D3 | |||||||||||
81 (27 each for symbiotic, vitamin D3, and control) | Lactobacillus reuteri and Bifidobacterium infantis with the prebiotic fructo-oligosaccharides | ||||||||||
[p = 0.001] | |||||||||||
Single-center, prospective, longitudinal | To investigate the correlation between AD and vitamin D deficiency and to examine the possible effect of vitamin D oral supplementation on AD evolution in children through modulation of the immune system | Italy | Vitamin D3 | 1 capsule/day for 3 months | AD severity | ↓ in the mean SCORAD scores | SCORAD | Di Filippo et al. [77] (2015) | |||
Before [46.13±15.68] versus after [22.57±15.28] with [p < 0.001] | |||||||||||
IL-2 (pg/mL) | |||||||||||
Before [8.22±7.39] versus after [1.24±4.26] with [p < 0.001] | |||||||||||
IL-4 (pg/mL) | |||||||||||
22 AD patients | (1,000 IU/capsule) | Cytokine serum level | ↓ in selected cytokine concentration including IL-2, IL-4, IL-6, and IFN-γ | Before [9.01±7.05] versus after [1.36±4.26] with [p < 0.001] | |||||||
IL-6 (pg/mL) | |||||||||||
Before [15.11±9.13] versus after [6.81±9.60] with [p = 0.007] | |||||||||||
IFN-γ (pg/mL) | |||||||||||
Before [20.05±22.84] versus after [0.19±0.79] with [p = 0.019] | |||||||||||
Open label | To investigate whether oral cholecalciferol supplementation changes stratum corneum expression of VDR, camp/LL-37, and TSLP in children with AD | Chile | Vitamin D3 | Age-adjusted weekly oral dose of liquid VD3 for 6 weeks | AD severity | ↓ in the mean SCORAD scores | SCORAD | Cabalín et al. [78] (2023) | |||
Before [41.4±13.5] versus after [31.5±15.8] with [p = 0.0007] | |||||||||||
Camp expression | |||||||||||
8,000 IU/week for 2–5.9 years | ↑ epidermal gene expression of camp in both lesional and non-lesional skin | Non-lesional skin | |||||||||
[p = 0.014] | |||||||||||
LL-37 peptide ↑ only in lesional skin | Lesional skin | ||||||||||
22 (16 moderate AD and vs. 6 severe AD) | 12,000 IU/week for 6–11.9 years | Camp/LL-37 and TSLP expression | [p = 0.0007] | ||||||||
LL-37 peptide | |||||||||||
16,000 IU/week for 12–18 years | TSLP expression did not change significantly | [p = 0.014] | |||||||||
TSLP expression | |||||||||||
[p > 0.05] | |||||||||||
Pre-post intervention | To assess the influence of vitamin D supplementation on the severity of AD | Curitiba, Brazil | Vitamin D | Indicated dosage for 4 weeks followed by 15,000 IU/week maintenance for 2 months subsequently | AD severity | Statistically significant ↓, but not clinically significant in the mean SCORAD scores | SCORAD | Imoto et al. [79] (2021) | |||
(50,000 IU/week for deficient) | |||||||||||
152 | (15,000 IU/week for insufficient) | Before [19.4] versus after [12.3] with [p < 0.01] | |||||||||
Randomized, double-blind, placebo-controlled | To evaluate the clinical effect of oral supplementation of vitamin D3 5,000 IU/day plus basal therapy in an urban population of Mexico City with AD | Mexico | Vitamin D | 5,000 IU/day over 3 months | AD severity | ↓ in the mean SCORAD scores in patients with AD | SCORAD | Sancgez-Armendariz et al. [80] (2018) | |||
Sufficient > 30 ng/mL of vitamin D3 | |||||||||||
65 (33 treated vs. 32 placebo) | Before [40.4±11.8] versus [19.6±11.6] with [p < 0.001] | ||||||||||
Dietary fats (n = 4) | |||||||||||
Randomized, double-blind, placebo-controlled, parallel | To study the effect of γ-linolenic acid (GLA) in children with AD and the effect on | Europe | Evening primrose oil | 4 capsules twice daily for 16 weeks | Eczema symptoms | No statistically significance difference was found between treatment and placebo groups | Selected clinical assessments, mean differences between groups | Hederos and Berg [81] (1996) | |||
Redness | |||||||||||
[mean = −1.9] | |||||||||||
Dryness | |||||||||||
[mean = −5.4] | |||||||||||
60 (30 treated vs. 30 placebo) | (500 mg/capsule which contains 400 mg GLA) | Itch | |||||||||
[mean = −3.0] | |||||||||||
Scaling | |||||||||||
[mean = −1.1] | |||||||||||
[All p > 0.05] | |||||||||||
Randomized, parallel, double-blind, placebo-controlled | To investigate the possible preventive effect of GLA supplementation on the development of AD in infants at risk | The Netherlands | GLA | 100 mg of GLA/day for the first 6 months of life | Incidence of AD in the first year of life | ↓ in the mean SCORAD scores in the GLA supplemented group as compared to the placebo group | SCORAD | Van Gool et al. [82] (2003) | |||
Treatment group [6.32±5.32] versus placebo group [8.28±6.54] | |||||||||||
121 (61 treated vs. 60 placebo) | AD severity | A significant negative association between increased GLA concentration and AD severity | Association | ||||||||
[r = −0.233; p = 0.013] | |||||||||||
Randomized, double-blind | To investigate the incidence of allergic and respiratory diseases through age 3 years in children fed DHA and ARA supplemented formula during infancy | USA | DHA and ARA | 17 mg/100 kcal DHA +34 mg/100 kcal ARA daily for 12 months | Allergic manifestations | Lowered odds for developing wheezing/asthma/AD but not for AD | Odds | Birch et al. [83] (2010) | |||
Wheezing/asthma/AD | |||||||||||
89 (38 treated vs. 51 placebo) | [OR: 0.25; 95% CI: 0.09–0.67; p = –0.006] | ||||||||||
AD | |||||||||||
[OR: 0.41; 95% CI: 0.14–1.16; p = –0.09] | |||||||||||
Controlled, multicenter intervention study | To determine the impact of altered exposure to diet factor during pregnancy and infancy on the incidence of allergy-related diseases at 2 years of age | 1,374 | Oily fish | 5 mL cod liver oil twice/week from 6 months of age for 4–6 weeks | Risk for AD, wheeze, asthma | No statistically significant impact on AD | Incidence of AD | Dotterud et al. [84] (2013) | |||
(infant) | [Adjusted OR: 0.93; 95% CI: 0.78–1.10] | ||||||||||
Probiotics and prebiotics (n = 30) | |||||||||||
Open trial | To determine whether oral Lactobacillus rhamnosus GG may act by generating immunosuppressive mediator in atopic children | Turku, Finland | Lactobacillus rhamnosus GG (ATCC 53103) | 1.0 × 1010 CFU twice day for 4 weeks | Cytokine production | ↓ in the serum IL-10 concentration | IL-10 (pg/mL) | Pessi et al. [85] (2000) | |||
Before [mean = 10.2] versus after [mean = 4.3] with [p < 0.001] | |||||||||||
9 | No statistically significant in fecal sIgA concentration | sIgA (mg/mL) | |||||||||
Before [mean = 20.4] versus after [mean = 20.9] with [p = 0.89] | |||||||||||
Randomized, double-blind, placebo-controlled | To investigate the interaction of Lactobacillus rhamnosus GG with skin and gut microbiota and humoral immunity in infants with AD | Turku, Finland | 3.4 × 109 CFU/day over 3 months | Ig secreting cells | ↓ in the proportion of IgA-, IgM-secreting cells, and CD19+CD27+ B cells | Baseline-adjusted ratios for treated vs. untreated at 1 month | Nermes et al. [86] (2011) | ||||
IgA-secreting cells | |||||||||||
37 (19 treated vs. 18 placebo) | Bacterial count | No statistically significant differences in the bifidobacterial species composition and mean SCORAD scores | [OR: 0.59; 95% CI: 0.36–0.99; p = 0.044] | ||||||||
Bacterial count | Proportion of CD19+CD27+ B cells (%) | ||||||||||
Treated [12] versus placebo [7] with [p = 0.009] | |||||||||||
Randomized, double-blind, placebo-controlled | To assess the efficacy of oral supplementation of viable and heat-inactivated probiotic bacteria in the management of atopic disease and their effects on gut microbiota composition | Turku, Finland | Lactobacillus rhamnosus GG (LGG) | 1.0 × 109 CFU for about 7.5 weeks | AD severity | ↓ in the SCORAD scores within the LGG viable group is greater than the placebo group | SCORAD | Kirjavainen et al. [87] (2003) | |||
35 | LGG viable | ||||||||||
(14 treated with viable LGG) | Before [mean = 19] versus after [mean = 5] with [p < 0.05] | ||||||||||
Heat-inactivated | |||||||||||
(13 treated with heat-inactivated LGG) | Before [mean = 15] versus after [mean = 7] with [p < 0.05] | ||||||||||
(8 given placebo) | |||||||||||
Randomized, double-blind, placebo-controlled | To reassess the efficacy of orally administered LGG in infants with AD | Germany | 5.0 × 109 CFU of LGG twice/day for 8 weeks | AD severity | No statistically significant differences in clinical symptoms, use of topical corticosteroids and antihistamines, and serum IgE level | SCORAD | Fölster-Holst et al. [88] (2006) | ||||
Use of topical corticosteroids (applications per week) | Before [43.3±2.4] versus after [35.3±3.0] | ||||||||||
53 (26 treated vs. 27 placebo) | Use of antihistamines | Topical corticosteroid | |||||||||
Before [5.6±1.0] versus after [3.0±0.6] | |||||||||||
Serum IgE level | Antihistamines | ||||||||||
Before (10 [39%]) versus after (9 [37%]) | |||||||||||
Serum IgE level (IU/mL) | |||||||||||
Treated [341] versus placebo [339] | |||||||||||
[All with p > 0.05] | |||||||||||
Randomized, double-blind, placebo-controlled | To investigate the therapeutic effect of LGG as a food supplement in infants suffering from AD | Berlin, Germany | 5.0 × 109 CFU of LGG twice/day for 12 weeks | AD severity | No statistically significant improvement in mean SCORAD scores between treated and placebo group | SCORAD | Grüber et al. [89] (2007) | ||||
Treated [19.6±15.4] versus placebo [15.1±12.1] | |||||||||||
Use of medication | |||||||||||
Use of rescue medication (hydrocortisone 1% ointment) | Treated [0.8±45.0] versus placebo [3.5±29.8] | ||||||||||
102 (54 treated vs. 48 placebo) | |||||||||||
Total serum IgE (kU/L ) | |||||||||||
Total serum IgE level | Treated [0.17±0.3] versus placebo [0.26±0.45] | ||||||||||
[All with p > 0.05] | |||||||||||
Randomized, double-blind, placebo-controlled | To investigate the therapeutic effects of the probiotic LGG in children with AD | Italy | 1.0 × 109 CFU of LGG/day for 12 weeks | AD severity (minimal clinically important difference) | Rate of subjects achieving MCID at 16 weeks was higher in the treated group as compared to placebo group | SCORAD | Carucci et al. [123] (2022) | ||||
Percentage of children ≥8.7 units for SCORAD index with [p < 0.05] | |||||||||||
Quality of life | IDQOL | ||||||||||
Improvement in the quality of life for both groups | |||||||||||
100 (50 treated vs. 50 placebo) | |||||||||||
Gut and skin microbiome | Treated; at 16 weeks | ||||||||||
[median = 1; IQR: 3] with [p < 0.05] | |||||||||||
Randomized, double-blind, placebo-controlled | To determine if probiotic administration during the first 6 months of life decreases childhood asthma and eczema | Finland | 1.0 × 1010 CFU of LGG/day for first 6 months of life | Cumulative incidence of eczema | Probiotic treatment does not prevent the development of eczema at 2 years of age | Incidence of eczema | Cabana et al. [90] (2017) | ||||
184 (92 treated vs. 92 placebo) | [Hazard ratio: 0.95; 95% CI: 0.59–1.53; log-rank p = 0.83] | ||||||||||
Randomized, double-blind, placebo-controlled | To determine whether early probiotic supplementation prevents allergic disease in high-risk infants | Perth, Australia | Lactobacillus acidophilus (LAVRI-A1) | 3.0 × 109 CFU dissolved in 1–2 mL sterile water/day from birth to 6 months | AD rate, severity | No statistically differences in the rate and severity of AD between treated and placebo groups | Rate | Taylor et al. [91] (2007) | |||
[p = 0.581] | |||||||||||
Severity | |||||||||||
226 (115 treated vs. 111 placebo) | The proportion of children with AD and sensitization was higher in the probiotic group than the placebo group | [p = 0.995] | |||||||||
SPT+ AD | |||||||||||
Treated [23/88] versus placebo [12/86] with [p = 0.045] | |||||||||||
Randomized, double-blind, placebo-controlled | To examine additional effects of two different dose of paraprobiotic Lactobacillus acidophilus on the clinical treatment in young children afflicted by AD with diagnosed or suspected food allergy | Japan | Lactobacillus acidophilus (L-92) | 20 mg (2 × 1010 CFU) of L-92 dry powder/day for 24 weeks | AD severity | ↓ in the SCORAD scores, TARC, and total IgE levels | SCORAD | Nakata et al. [92] (2019) | |||
Before [median: 39.1; range: 12.2–83.8] versus after [8.1±18.5] with [p = 0.040] | |||||||||||
Total IgE (IU/mL) | |||||||||||
59 (29 treated vs. 30 placebo) | Total IgE level | Treated [median: −0.14; range: −0.34 to 0.39] versus placebo [median: −0.01; range: −0.28 to 0.53] with [p = 0.03] | |||||||||
TARC (pg/mL) | |||||||||||
Treated [median: −504; range: −19,279 to 1,068] versus placebo [median: 86; range: −29,661 to 805] with [p = 0.03] | |||||||||||
Randomized, double-blind, placebo-controlled, parallel | To determine if the consumption of heat-inactivated probiotic Lactobacillus paracasei would have a beneficial effect on the clinical symptoms of AD and help limit the quantity of corticosteroids needed as concomitant treatment | Taiwan | Lactobacillus paracasei (GM-080) | 1.0 × 1010 CFU/day over 16 weeks | AD severity | ↓ in SCORAD and IDQOL scores | SCORAD | Yan et al. [93] (2019) | |||
[p < 0.001] | |||||||||||
TEWL | |||||||||||
Quality of life | Arms | ||||||||||
Only ↓ in TEWL of the lesional skin on the arms was statistically significant | [p = 0.043] | ||||||||||
Legs | |||||||||||
[p = 0.087] | |||||||||||
126 (64 treated vs. 62 placebo) | Trunk | ||||||||||
TEWL | CCL17 was observed to ↓, but not statistically significance | [p = 0.054] | |||||||||
IDQOL | |||||||||||
Before [8.59±3.53] versus after [4.95±3.23] with [ p < 0.001] | |||||||||||
CCL17 level | CCL17 (pg/mL) | ||||||||||
Total IgE increased in both treated and placebo group, but not statistically significant | Treated | ||||||||||
Before [186.58±364.84] versus after [133.94±270.42] | |||||||||||
Total IgE | Total IgE (kU/mL) | ||||||||||
Treated | |||||||||||
Before [151.08±260.11] versus after [212.96±365.88] | |||||||||||
Randomized, double-blind, placebo-controlled | To characterize the changes caused by Lactobacillus casei | Poland | Lactobacillus casei (DN-114001) | 1.0 × 109 CFU/day for 3 months | AD severity | ↓ mean SCORAD scores | SCORAD | Klewicka et al. [94] (2011) | |||
in intestinal microbiota in infants with AD | 40 (18 treated vs. 22 placebo) | Before [21.3±9.5] versus after [2.8±3.6] with [p < 0.05] | |||||||||
Randomized, double-blind, placebo-controlled | To determine the underlying immunological effects of probiotics on moderate-to-severe AD | Australia | Lactobacillus fermentum (VR1 003) | 1.0 × 109 CFU twice/day for 8 weeks | AD severity | ↓ SCORAD scores and was directly correlated with the increase in IFN-γ response to staphylococcus aureus enterotoxin B | SCORAD | Prescott et al. [95] (2005) | |||
[p < 0.05] | |||||||||||
53 (26 treated vs. 27 placebo) | Cytokine response | Correlation between SCORAD and IFN-γ | |||||||||
[r = −0.443; p = 0.026] | |||||||||||
Randomized, double-blind, placebo-controlled | To evaluate the clinical and anti-inflammatory effect of Lactobacillus pentosus in children with mild-to-moderate AD | South Korea | Lactobacillus pentosus | 1.0 × 109 CFU/day for 12 weeks | AD severity | ↓ in the mean SCORAD scores | SCORAD | Ahn et al. [96] (2020) | |||
Before [30.4±8.6] versus after [23.6±11.0] with [p < 0.001] | |||||||||||
TEWL | |||||||||||
Before [30.3±17.0] versus after [28.1±11.3] with [p = 0.444] | |||||||||||
TEWL | Eosinophils (per μL) | ||||||||||
Before [5.7±0.7] versus after [5.8±0.8] with [p = 0.241] | |||||||||||
Total IgE (kU/L) | |||||||||||
Before [4.7±1.5] versus after [4.9±1.5] with [p = 0.122] | |||||||||||
IL-5 (pg/mL) | |||||||||||
No statistically significant differences in the TEWL values, blood eosinophil counts, serum total IgE level, and the selected cytokines | |||||||||||
Blood eosinophil count | Before [3.90±0.00] versus after [4.24±1.19] with [p = 0.075] | ||||||||||
IL-6 (pg/mL) | |||||||||||
82 (41 treated vs. 41 placebo) | Before [0.66±0.92] versus after [0.84±1.65] with [p = 0.740] | ||||||||||
IL-10 (pg/mL) | |||||||||||
Serum total IgE | Before [0.95±0.39] versus after [1.24±1.62] with [p = 0.369] | ||||||||||
IL-13 (pg/mL) | |||||||||||
Before [128.96±24.57] versus after [138.86±71.34] with [p = 0.303] | |||||||||||
IL-17 (pg/mL) | |||||||||||
Cytokine levels | Before [0.43±1.35] versus after [0.49±0.75] with [p = 0.600] | ||||||||||
IFN-γ (pg/mL) | |||||||||||
Before [16.32±4.18] versus after [18.58±12.24] with [p = 0.366] | |||||||||||
Randomized, double-blind, placebo-controlled | To assess the probiotic function of Lactobacillus plantarum in children with mild and moderate AD | Indonesia | Lactobacillus plantarum | 1.0 × 1010 CFU twice/day for 12 weeks | AD severity | ↓ in the mean SCORAD scores, IL-4, IFN-γ, and IL-17 levels | SCORAD | Prakoeswa et al. [97] (2017) | |||
Treated group [18.533±14.200] versus placebo group [22.040±8.817] with [p = 0.000] | |||||||||||
IL-4 (IU/mL) | |||||||||||
Treated group [4.277±4.892] versus placebo group [5.815±6.633] | |||||||||||
Cytokine levels | No statistically significant changes in serum IgE | IFN-γ (IU/mL) | |||||||||
Treated group [0.528±0.634] versus placebo group [0.684±1.006] with [p = 0.006] | |||||||||||
IL-17 (IU/mL) | |||||||||||
22 (12 treated vs. 10 placebo) | (IS-10506) | Treated group [0.151±0.135] versus placebo group [0.128±0.134] with [p = 0.000] | |||||||||
IgE (IU/mL) | |||||||||||
Serum IgE | Higher ratio of Foxp3+/IL-10 in the probiotic group than in placebo group | ||||||||||
Treated group [504.533±415.686] versus placebo group [909.580±885.051] with [p > 0.05] | |||||||||||
Foxp3+:IL-10 (IU/mL) | |||||||||||
Treated group [0.050±0.135] versus placebo group [0.014±0.018] with [p = 0.001] | |||||||||||
Randomized, double-blind, placebo-controlled | To evaluate the effect of L. sakei proBio65 live and dead cells when administered for 12 weeks to children and adolescents with AD | South Korea | Lactobacillus sakei | 1.0 × 1010 cells/day for 12 weeks | AD severity | ↓ in the mean SCORAD and IGA scores for treatments with viable and nonviable strains | SCORAD | Rather et al. [98] (2021) | |||
Viable group | |||||||||||
Improvement in skin moisture content with the nonviable strain treatment | |||||||||||
[3.08±1.44] with [p = 0.0488] | |||||||||||
Quality of life | Improvement in skin sebum content with both the viable and nonviable strain treatment | Non-viable group [1.48±1.00] with [p = 0.0220] | |||||||||
IGA | |||||||||||
90 (30 each for live, treated, dead cells, and placebo) | Viable group | ||||||||||
[0.75±0.17] with [p = 0.0005] | |||||||||||
Immune cell count | ↓ in the eosinophil count with viable strain treatment | Non-viable group [0.59±0.18] with [p = 0.0039] | |||||||||
Skin moisture (%) | |||||||||||
[p < 0.0001] | |||||||||||
Skin sebum (%) | |||||||||||
[p < 0.0001] | |||||||||||
Eosinophil count (mm 3 ) | |||||||||||
Before [588.75±122.72] versus after [428.75±77.11] with [p = 0.0331] | |||||||||||
Randomized, double-blind, placebo-controlled | To investigate whether probiotics could modify the expression of genetic predisposition to eczema conferred by genetic variation in susceptibility genes | Europe | Lactobacillus rhamnosus (HN001) | Either 1 capsule of 6.0 × 109 CFU HN001 or 9.0 × 109 CFU HN019 daily between 2 and 16 days post birth till age 2 | Expression of eczema susceptibility SNPs | ↓ risk of eczema in the treatment group compared with the placebo group for 16 genetic variants with HN001 and 3 genetic variants with HN019 | Eczema | Morgan et al. [99] (2014) | |||
HN001 | |||||||||||
rs7927894 (C11orf30), rs2738182, rs5743399 and rs5743409 (DEFB1), rs1046295 and rs3794379 (PHF11), rs1423001, rs3756688 and rs3815735 (SPINK5), rs1800825 (CCL5), rs2569190 (CD14), rs1800875 (CMA1), rs20541 (IL-13), and rs1801275, rs2057768 and rs210- 7356 (IL4R) | |||||||||||
Furthermore, some genetic variants were associated with a significant ↓ risk of SCORAD ≥10 | HN019 | ||||||||||
Bifidobacterium animalis subspp lactis (HN019) | rs2738182 and rs5743399 (DEFB1), and rs2107356 (IL4R) | ||||||||||
33 | ↓ risk of SCORAD ≥ 10 | ||||||||||
HN001 | |||||||||||
rs5743399 (DEFB1), rs1046295, rs3794378 and rs3794379 (PHF11), rs2287772 and rs4529181 (SPINK5), rs1800825 (CCL5), rs2569190 (CD14), rs180- 0875 (CMA1), rs20541 (IL-13), and rs1801275, rs205- 7768 and rs2107356 (IL4R) | |||||||||||
HN019 | |||||||||||
rs5743399 (DEFB1), rs1046295 and rs379- 4378 (PHF11), rs2287772 and rs4529181 (SPINK5), and rs360721 (IL18) | |||||||||||
Randomized, double-blind, placebo-controlled | To examine the effect of a combination of two probiotic strains administered in late infancy and early childhood on the development of allergic diseases and sensitization | Denmark | Lactobacillus rhamnosus (LGG) | 1.0 × 109 CFU of LGG and BB-12/day over 6 months | Incidence of eczema | ↓ incidence of AD | Incidence of AD | Schmidt et al. [100] (2019) | |||
285 (143 treated vs. 142 placebo) | Bifidobacterium animalis subsp lactis (BB-12) | Treated [4.2%] versus placebo [11.5%] with [p = 0.036] | |||||||||
Randomized, double-blind, placebo-controlled | To evaluate the safety, tolerance, and preventive effect on AD of an experimental α-lactalbumin-enriched and symbiotic-supplemented infant formula | Nantes, France | Lactobacillus rhamnosus | 1.4 × 108 CFU of LCS-742 and M63 daily till 6 months of age | Manifestation of AD | ↓ frequency of AD at 6 months in the treated group | Manifestation of AD | Rozé et al. [101] (2012) | |||
(LCS-742) | |||||||||||
Treated [2.60%] versus placebo [17.8%] with [p = 0.03] | |||||||||||
Bifidobacterium longum subsp. infantis (M63) | |||||||||||
97 (48 treated vs. 49 placebo) | A negative correlation between manifestation of AD and colonization of bifidobacterial | Correlation | |||||||||
96% galacto-oligosaccharides | |||||||||||
[R2 = 0.27; p < 0.005] | |||||||||||
4% short-chain fructo-oligosaccharides | |||||||||||
Randomized, double-blind, crossover | To evaluate the clinical and anti-inflammatory effect of probiotic supplementation in children with AD | Denmark | Lactobacillus rhamnosus (19070-2) | Either 1 dose of 1.0 × 109 CFU 19070-2 | AD severity | ↓ in the extent of eczema, serum eosinophil cationic protein levels | Extent of eczema | Rosenfeldt et al. [102] (2003) | |||
Before [mean = 18.2%] versus after [mean = 13.7%] with [p = 0.02] | |||||||||||
Serum ECP (μg/L) | |||||||||||
Serum ECP | No statistically significant changes in the cytokine production | Before [52.3±5.5] versus after [34.6±7.6] with [p = 0.03] | |||||||||
Changes in cytokine | |||||||||||
IL-2 (pg/mL) | |||||||||||
[p = 0.35] | |||||||||||
43 | Lactobacillus reuteri (DSM12246) | or DSM12246 twice/day over 20 weeks | Cytokine production | However, there is a significant association between the level of IL-4 and clinical improvement | IL-4 (pg/mL) | ||||||
[p = 0.35] | |||||||||||
IL-10 (pg/mL) | |||||||||||
[p = 0.62] | |||||||||||
Association | |||||||||||
[non-parametric correlation factor: −on-parap = 0.028] | |||||||||||
Randomized, double-blind, placebo-controlled | To examine the effect of two probiotics (Lactobacillus rhamnosus and Bifidobacteria lactis) on established AD in children | New Zealand | Lactobacillus rhamnosus | 1.0 × 1010 CFU/day for 12 weeks | AD severity | ↓ geometric mean ratios of SCORAD values among food-sensitized children compared with baseline at the end of 12 weeks treatment | SCORAD | Sistek et al. [103] (2006) | |||
59 (29 treated vs. 30 placebo) | Bifidobacteria lactis | ||||||||||
Before [baseline: 1.00] versus after [0.73 (0.54–1.00] with [p = 0.047] | |||||||||||
Randomized, double-blind, placebo-controlled | To evaluate the clinical and inflammatory effects of supplementation of a hydrolyzed formula with two probiotic strains of bacteria on symptoms of AD in infancy | Netherlands | Lactobacillus rhamnosis (NP-Lrh) | 3.0 × 108 CFU/day for 3 months | AD severity | No statistically significant differences in the SCORAD scores, sensitization and eosinophil counts | SCORAD | Brouwer et al. [104] (2006) | |||
NP-Lrh | |||||||||||
Decrease 0.05/month from baseline of 24.23 | |||||||||||
50 | |||||||||||
NP-LGG | |||||||||||
Decrease 0.2/month from baseline of 29.4 | |||||||||||
Total IgE (kU/L) | |||||||||||
(17 treated with NP-Lrh) | Lactobacillus GG (NP-LGG) | Allergic sensitization | NP-Lrh | ||||||||
Before [median: 4; range <2–31] versus after [median: 7; range: <2–219] | |||||||||||
NP-LGG | |||||||||||
(16 treated with NP-LGG) | Before [median: 25; range: <2–238] versus after [median: 25; range: <2–408] | ||||||||||
Eosinophils (× 10 9 /L) | |||||||||||
NP-Lrh | |||||||||||
(17 placebo) | Before [median: 0.4; range: 0.1–3.88] versus after [median: 0.26; range: 0.01–1.29] | ||||||||||
NP-LGG | |||||||||||
Before [median: 0.54; range: 0.18–2.76] versus after [median: 0.48; range: 0.26–2.12] | |||||||||||
Randomized, double-blind, placebo-controlled | To assess the effect of probiotic supplementation in the first 6 months of life on eczema and allergic sensitization at 1 year of age in Asian infants at risk of allergic disease | Singapore | Lactobacillus rhamnosus (CGMCC1.3724) | Either 1.0 × 107 CFU of BL999 or 2.0 × 107 CFU of CGMCC1.3724 within 12h for the first 6 months of life | Eczema and allergic sensitization | No statistically significant differences in the incidence of eczema, SCORAD scores, and prevalence of allergen sensitization between treated and placebo groups | Incidence of eczema | Soh et al. [105] (2009) | |||
Treated [27/124; 22%] versus placebo [30/121; 25%] | |||||||||||
Median SCORAD at 12 months | |||||||||||
253 (127 treated vs. 126 placebo) | Bifidobacteria longum (BL999) | Treated [17.10] versus placebo [11.60] with [p = 0.17] | |||||||||
Rate of sensitization | |||||||||||
Treated [24%] versus placebo [19%] | |||||||||||
[Adjusted OR: 1.43; 95% CI: 0.76–2.70] | |||||||||||
Randomized, double-blind, placebo-controlled | To assess the potential of probiotics to control allergic inflammation at an early age | Turku, Finland | Lactobacillus GG | Either 3.0 × 108 CFU of Lactobacillus GG or 1.0 × 109 CFU of Bifidobacterium lactis over 2 months | Extent and severity of eczema | Significant improvement in SCORAD scores | SCORAD | Isolauri et al. [106] (2000) | |||
LGG treated | |||||||||||
Before [median = 16, IQR = 7–25] versus after [median = 1; IQR = 0.1–8.7] with [p = 0.01] | |||||||||||
Significant ↓ in the urinary eosinophil protein X | Bifidobacterium treated | ||||||||||
27 | Bifidobacterium lactis | Concentration of circulating cytokine/chemokine | Before [median = 16, IQR = 7–25] versus after [median = 0; IQR = 0–3.8] with [p = 0.002] | ||||||||
EPX | |||||||||||
The serum concentrations of IL-1r alpha, TNF-alpha, GM-CSF, sICAM-1, RANTES, and MCP-1alpha were not modified by probiotics | LGG treated | ||||||||||
[p = 0.04] | |||||||||||
Bifidobacterium treated | |||||||||||
[p = 0.01] | |||||||||||
Randomized, double-blind, placebo-controlled | To investigate whether probiotic bacteria have any beneficial effect on atopic eczema/dermatitis syndrome | Finland | Lactobacillus rhamnosus (LGG) | Either 1 capsule of 5.0 × 109 CFU of LGG only or a mixture of 5.0 × 109 CFU of LGG with 2 × 108 CFU Bbi99 and 2 × 109 CFU P. JS daily for 4 weeks | AD severity | ↓ in the mean SCORAD in IgE-sensitized infants | SCORAD | Viljanen et al. [107] (2005) | |||
Treated | |||||||||||
230 | Bifidobacterium breve (Bbi99) | Before [mean = 37.60 versus after [mean = 11.5] | |||||||||
(80 treated with LGG alone) | Placebo | ||||||||||
(76 treated with mixed) | Propionibacterium. Freudenreichii | Before [mean = 29.9 versus after [mean = 10.2 | |||||||||
[p = 0.036] | |||||||||||
(74 placebo) | ssp. Shermanii | ||||||||||
JS | |||||||||||
Randomized, double-blind, placebo-controlled | To assess the clinical efficacy and impact of 2 probiotic strains with fructo-oligosaccharide on peripheral blood lymphocyte subsets in preschool children with moderate-to-severe AD | Ukraine | Lactobacillus acidophilus (DDS-1) | 1 g (5.0 × 109 CFU) twice/day for 8 weeks | AD severity | A significant ↓ in percentages of SCORAD and IDQOL scores | SCORAD | Gerasimov et al. [108] (2010) | |||
Treated [mean decrease: −14.2; SD: 9.9] versus placebo [mean decrease: −7.8; SD: 7.7] with [p = 0.001] | |||||||||||
IDQOL | |||||||||||
Quality of life | Treated [mean decrease: 33%] versus placebo [mean decrease: 19.0%] with [p = 0.003] | ||||||||||
96 (48 treated vs. 48 placebo | Bifidobacterium lactis (UABLA-12) | A significant correlation between CD4 percentage, CD25 percentage, CD25 absolute count, and SCORAD values | DFI | ||||||||
Treated [mean decrease: 35.2%] versus placebo [mean decrease: 23.8%] with [p = 0.010] | |||||||||||
Correlation | |||||||||||
Lymphocyte subsets in peripheral blood | CD4% and SCORAD | ||||||||||
[r = 0.642, p < 0.05] | |||||||||||
CD25% and SCORAD | |||||||||||
[r = 0.746, p < 0.05] | |||||||||||
CD25 absolute count and SCORAD | |||||||||||
[r = 0.733, p < 0.05] | |||||||||||
Randomized, double-blind, placebo-controlled | To investigate whether dietary supplementation of infants with eczema at age 3–6 months with Lactobacillus paracasei CNCM I-2116 or Bifidobacterium lactis CNCM I-3446 had a treatment effect or altered allergic disease progression | Not stated | Lactobacillus paracasei (CNCM I-2116) | 1.0 × 1010 CFU of either strain daily for 3 months | Eczema severity | No statistically significant changes in SCORAD scores, IDQoL scores, percentage of sensitization, and urinary EPX/creatinine concentrations in the treated groups pre- and post-intervention | SCORAD | Gore et al. [109] (2012) | |||
CNCM 1-2116 | |||||||||||
Before [25.4; 95% CI: 22.1–29.0] versus after [12.5; 95% CI: 9.2–16.4] | |||||||||||
CNCM 1-3446 | |||||||||||
137 | Quality of life | Before [25.9; 95% CI: 22.8–29.2] versus after [4.8; 95% CI: 9.4–16.6] | |||||||||
IDQOL | |||||||||||
CNCM 1-2116 | |||||||||||
(45 treated with CNCM I-2116) | Bifidobacterium lactis (CNCM I-3446) | Before [4.8; 95% CI: 3.8–6.1] versus after [2.9; 95% CI: 2.0–4.0] | |||||||||
CNCM 1-3446 | |||||||||||
Sensitization | Before [5.2; 95% CI: 4.3–6.2] versus after [3.3; 95% CI: 2.4–4.3] | ||||||||||
Sensitization | |||||||||||
CNCM 1-2116 | |||||||||||
(45 treated with CNCM I-3446) | Before [67%] versus after [65%] | ||||||||||
CNCM 1-3446 | |||||||||||
Before [51%] versus after [62%] | |||||||||||
Urinary EPX/creatinine | Urinary EPX/creatinine (μg/mmol) | ||||||||||
(47 placebo) | CNCM 1-2116 | ||||||||||
Before [29.2; 95% CI: 19.1–44.5] versus after [12.7; 95% CI: 7.2–22.4] | |||||||||||
CNCM 1-3446 | |||||||||||
Before [18.1; 95% CI: 11.0–30.0] versus after [13.1; 95% CI: 7.7–23.1] | |||||||||||
Randomized, double-blind, placebo-controlled, prospective | To investigate the effect of a prebiotic mixture of GOS & FOS on the incidence of AD during the first 6 months of life in formula fed infants at high risk of atopy | Italy | Short-chain galacto-oligosaccharide (GOS) | 0.8 g/100 mL GOS and FOS over 6 months | AD development | Lesser infants in the intervention group developed AD at 6 months of age | AD development | Moro et al. [110] (2006) | |||
259 (129 treated vs. 130 placebo) | Treated [9.8%; 95% CI: 5.4–17.1] versus placebo [23.1%; 95% CI: 16.0–32.1] with [p = 0.014] | ||||||||||
Randomized, double-blind, placebo-controlled, prospective | To analyze the effect of GOS and FOS on the immune response in infants with AD at 6 months of age | Italy | Total IgE level | ↓ in the plasma level of total IgE, IgG1, IgG2, and IgG3, but not IgG4 | IgE (kU/L) | van Hoffen et al. [111] (2009) | |||||
Treated [median: 4.00; IQR: 1.90–8.00] versus placebo [median: 10.0; IQR: 3.0–28.0] with [p < 0.01] | |||||||||||
IgG1 (g/L) | |||||||||||
Treated [median: 2.26; IQR: 1.74–3.34] versus placebo [median: 3.09; IQR: 2.19–4.29] with [p < 0.01] | |||||||||||
IgG2 (g/L) | |||||||||||
Treated [median: 0.66; IQR: 0.51–0.90] versus placebo [median: 0.99; IQR: 0.61–1.26] with [p < 0.01] | |||||||||||
84 (41 treated vs. 43 placebo) | Long-chain fructo-oligosaccharides (FOS) | ||||||||||
IgG3 (g/L) | |||||||||||
Treated [median: 1.04; IQR: 0.64–1.85] versus placebo [median: 1.76; IQR: 1.15–2.77] with [p < 0.01] | |||||||||||
IgG4 (g/L) | |||||||||||
Treated [median: 427.2; IQR: 18.3–1,178.2] versus placebo [median: 187.7; IQR: 5.35–1,455.8] with [p > 0.01] | |||||||||||
Randomized, double-blind, placebo-controlled, prospective | To evaluate if the protective effects of GOS and FOS were lasting beyond intervention period | Italy | Cumulative incidence of allergic diseases, including AD | ↓ cumulative incidence of AD among the intervention group as compared to those in placebo group | Incidence of AD | Arslanoglu et al. [112] (2008) | |||||
Treated [13.6%] versus placebo [27.9%] with [p < 0.05] | |||||||||||
206 (102 treated vs. 104 placebo) | |||||||||||
Randomized, double-blind, placebo-controlled | To evaluate the effect of a postnatal probiotic combination on development of allergic diseases in very preterm infants | Australia | Probiotic mixture consisting of | 1.0 × 109 CFU probiotic combination daily from birth to 1 month after delivery | Allergic diseases, including eczema and atopic eczema | No statistically significant difference in eczema, AE, and atopic sensitization incidence between the probiotic and placebo group in the first 2 years of life | Incidence | Plummer et al. [113] (2019) | |||
Eczema | |||||||||||
Bifidobacterium infantis (BB-02) | Treated [30.0%] versus placebo [27.0%] with [p > 0.05] | ||||||||||
Atopic eczema | |||||||||||
1,099 (548 treated vs. 551 placebo) | Streptococcus thermophilus (TH-4) | Treated [5.0%] versus placebo [2.0%] with [p > 0.05] | |||||||||
Atopic sensitization | |||||||||||
Bifidobacterium lactis (BB-12) | Treated [13.0%] versus placebo [11.0%] with [p > 0.05] | ||||||||||
Major nutrients, excluding fats (n = 2) | |||||||||||
Randomized, double-blind | To compare the course of eczema in predisposed children after nutritional intervention to the natural course of eczema | Germany | Hydrolyzed protein formula | Extensively hydrolyzed casein | Physician-diagnosed eczema | Predisposed children without intervention had a higher risk of eczema than those without a familial predisposition | Risk | Berg et al. [114] (2010) | |||
5,991 (2,252 treated vs. 3,739 non-intervene) | [OR: 2.1; 95% 1.6–2.7] | ||||||||||
Randomized, triple-blind, placebo-controlled, prospective | To evaluate the preventive effect of a hydrolyzed protein formula versus an intact protein formula on allergy development in preterm infants with or without risk factors | Italy | Extensively hydrolyzed protein formula for 2 weeks | Allergic diseases development | No statistically significant differences in the incidence of AD | Difference | Di Mauro et al. [115] (2020) | ||||
Treated [18%] versus control [17%] | |||||||||||
60 (30 treated vs. 30 placebo) | |||||||||||
[Fisher’s exact test p = 0.61] | |||||||||||
Biological compounds (n = 1) | |||||||||||
Open-label, case-control | To determine whether pancreatic enzyme supplementation is an effective and safe treatment in refractory pediatric AD associated with food allergies | Canada | Pancreatic enzyme | 1 capsule/day for 6 weeks | AD severity | ↓ in the mean SCORAD scores | SCORAD | Singer et al. [116] (2019) | |||
22 (11 cases vs. 11 controls) | Before [52.3±5.5] versus after [34.6±7.6] with [p = 0.0008] | ||||||||||
Diet-related approach (n = 5) | |||||||||||
Open trial | To investigate the effect of consuming MSG in processed foods on serum ECP levels among children with AD | South Korea | MSG in processed foods | 1 week of processed food avoidance | AD severity | ↓ in the mean SCORAD scores and serum ECP levels | SCORAD | Lee et al. [117] (2011) | |||
Before [23.53±11.68] versus after [12.4±6.01] with [p = 0.046] | |||||||||||
Serum ECP (μg/mL) | |||||||||||
13 (6 processed food-restrict group vs. 7 general diet group) | Serum eosinophil cationic protein | Decrement in serum ECP level was significant correlated with decreased MSG intake | Before [25.33±10.3] versus after [10.25±8.09] | ||||||||
[p = 0.028] | |||||||||||
Correlations | |||||||||||
Serum ECP and MSG intake | |||||||||||
[r = 0.629; p = 0.028] | |||||||||||
Open trial | To describe the treatment and follow-up of 63 children with AD who received a diet at home in which all, but six foods were eliminated for a period of 6 weeks | Manchester, England | Lamb, potato, rice, rice krispies, carrot, and pear | Only consumed 6 foods for 6 weeks | AD severity | 52% patients obtained ≥20% improvement in disease severity | Disease severity score | Devlin et al. [118] (1991) | |||
63 | Pre-diet [median: 70; range: 20–240] versus 6 weeks [median: 20; range: 4–180] versus 6 months [median: 10; range: 0–140] with [p = 0.02] | ||||||||||
Randomized, crossover | To assess the clinical severity of AD in children after certain dietary modifications and to correlate AEC with dietary modification | North Malabar, India | Egg and cow’s milk | Egg and cow’s milk exclusion diet for 9 weeks | AD severity | Avoidance diet did not show a beneficial effect on AD | SCORAD | Dhar et al. [119] (2019) | |||
30 | Before [18.3] versus after [14.3] with [p = 0.165] | ||||||||||
Randomized, single-blind, controlled, parallel trial | To study the short-term effect of a few foods’ diets on AD | Manchester, England | Whey or casein | Diet supplemented with whey or casein hydrolyzate formula for 6 weeks | AD severity and symptoms | No statistically significant improvements in AD symptoms between control and treated groups | Differences | Mabin et al. [120] (1995) | |||
Body surface area affected | |||||||||||
[Kruskal-Wallis, H = 3.47, df = 2, p = 0.18] | |||||||||||
Skin severity score | |||||||||||
Hydrolyzate formula | [Kruskal-Wallis, H = 2.31, df = 2, p = 0.32] | ||||||||||
Day-time itch score | |||||||||||
[Kruskal-Wallis, H = 1.48, df = 2, p = 0.48] | |||||||||||
Sleep disturbance score | |||||||||||
[Kruskal-Wallis, H = 1.49, df = 2, p = 0.47] | |||||||||||
Single-blind, controlled | To ascertain the relationship between the effect of egg exclusion on infantile AD, and egg allergy | Japan | Eggs | Exclusion diet for 2 weeks | Severity of skin symptoms | No statistically significant difference between egg avoidance group and cases with severe skin symptoms | χ2 | Aoki et al. [121] (1992) | |||
138 | [p > 0.05] |
Targeted group (pediatric, n = 53). AD, atopic dermatitis; AEC, absolute eosinophil count; ARA, arachidonic acid; camp/LL-37, cathelicidin antimicrobial peptide; CCL17, CC chemokine ligand 17; CD, clusters of differentiation; CFU, colony-forming unit; CIs, confidence intervals; DFI, dermatitis family impact; DHA, docosahexaenoic acid; EASI, eczema area and severity index; ECP, eosinophil cationic protein; EPX, eosinophil protein X; FOS, fructo-oligosaccharide; Foxp3+, forkhead box P3; GI, gastrointestinal; GLA, γ-linolenic acid; GOS, galacto-oligosaccharide; IDQOL, infants’ dermatitis quality of life; IFN-γ, interferon-gamma; IGA, investigator’s global assessment; IL, interleukin; IUs, international units; MSG, monosodium glutamate; OR, odds ratio; SCORAD, SCORing atopic dermatitis; SIgA, secretory immunoglobulin A; SNP, single nucleotide polymorphism; SPT, skin prick test; TARC, thymus and activation-regulated chemokine; TEWL, transepidermal water loss; TSLP, thymic stromal lymphopoietin; VDR, vitamin D receptor.
Identified Gaps and Future Research Strategies
Finally, this study revealed several critical gaps in the existing literature on AD and dietary intervention (Fig. 4). First, heterogeneity was evident in both the diversity of dietary interventions employed, spanning various food types, study designs, sample sizes, and populations, and the multitude of reported outcomes including skin parameters, cytokines, quality of life measures, and microbiota composition. Second, there was a scarcity of research focusing on adult population, with a predominant focus on pediatrics and pregnant women cohorts. Additionally, there was a lack of alignment between studied dietary interventions and established dietary guidelines. Insufficient consideration of cultural and regional dietary practices was another notable gap with many studies overlooked the influence of diverse cultural and regional diets on the effectiveness and relevance of dietary interventions. Lastly, most studies exhibited a short-term focus, limiting insights into the long-term effects and sustainability of dietary interventions for AD.
Discussion
This review analyzed 104 full-text articles assessing dietary interventions for AD in human populations among various age groups, covering publications from 1990 to May 2023. There was a predominant focus on the pediatric population, underscoring an emerging paradigm emphasizing early-life interventions. Most studies originate from Europe and explore diverse dietary strategies. The majority of these studies demonstrated an overall effectiveness in ameliorating AD outcomes without serious adverse effects, affirming the potential of dietary interventions in AD management. Moreover, the increasing number of dietary intervention studies on AD over the years highlights a growing interest and sustained research efforts in this domain.
The emphasis on early-life dietary management signifies a fundamental paradigm shift from conventional symptom-centric approaches toward a proactive strategy aimed at not only managing but potentially preventing AD. Early childhood and infancy are critical developmental stages where targeted nutritional interventions can significantly influence immune system development, gut microbiota composition, and overall long-term health [122]. The evidence in our review suggests the potential of early dietary supplementation, especially prebiotics and probiotics, in pediatrics to positively influence the immune system. For instance, prebiotic supplementation during early infancy with GOS and FOS has been associated with an improved gut microbiota profile by promoting bifidobacterial proliferation [101, 110] and immunomodulatory potential by reducing plasma levels of immunoglobulins, including IgE, IgG1, IgG2, and IgG3 [111]. Probiotic supplementation with Lactobacillus species during early childhood leads to varying outcomes; however, the majority of studies consistently supported their potential immunomodulatory effects. The various effects include the reduced proportion of IgA/IgM-secreting cells [85], lowered expression of various pro-inflammatory cytokines such as IL-4, and IFN-γ [77, 97], and lowered total serum IgE [92, 111]. While early intervention in reducing the risk and severity of AD is promising, it also necessitates a careful and evidence-based approach to avoid unwarranted or ineffective dietary modifications. There is a need for dietary interventions to be planned meticulously to ensure basic nutritional requirements are adequately met, especially in the critical developmental stage of young children. On the other hand, the clinical impact of probiotics on the quality of life for adult patients with AD warrants nuanced consideration. Although there were statistically significant improvements in DLQI scores [37, 38], it is essential to contextualize these findings within the recognized clinically important difference [124, 125]. Therefore, it needs additional large-scale studies that are designed with careful consideration of probiotic composition and study parameters to offer a more nuanced perspective on the clinical relevance of observed improvements in DLQI scores.
The disparity in the number of studies focusing on the adult population compared to the significant emphasis on pediatric populations may be a reflection of historical research biases [126]. However, this emphasis also underscored the need for a more balanced approach and increased attention to adult populations in research related to AD. AD affects both children and adults and understanding its manifestations, triggers, and management in adulthood is equally critical. Adults have distinct lifestyle factors, additional comorbidities, and health concerns that influence AD development and progression [127]. Interestingly, our findings revealed a prevalence of vitamin supplementation for improving AD conditions among adults. Consistent with a recent review on vitamin D [128], we also found that vitamin D supplementation is potentially a viable and well-tolerated therapeutic option to alleviate AD symptoms. This aligns with other studies that highlight the roles of vitamins in immune function, skin integrity, and inflammatory responses [129–131]. Most studies, particularly in the adult population, have commonly utilized a supplementation dose of 1,600 IU of vitamin D3/day. However, we should never extrapolate these findings to pediatric AD patients. The determination of the optimal dose and duration of vitamin D supplementation for children with AD remains a challenging and unresolved issue based on current studies [132]. Furthermore, it is crucial to acknowledge that not all reductions in SCORAD scores by vitamin D supplementation may translate into clinically significant improvements. To bridge the gap between statistical significance and clinical relevance in reported outcomes, future research demands interdisciplinary collaboration involving clinical experts in dermatology, immunology, and nutrition. Establishing a standardized framework, underpinned by methodological rigor, is paramount. This includes well-defined criteria for clinical significance and robust subgroup analyses. These strategies are pivotal for advancing dietary intervention aimed at improving AD across diverse population groups.
There are also several crucial considerations to take into account when designing a robust, widely acceptable, and sustainable RCT for the management of AD. First, dietary preferences and practices vary significantly across different sociocultural contexts [133]. Research often prioritizes standardized dietary interventions rather than acknowledging and studying variations in dietary habits. Thus, understanding the cultural traditions, local culinary practices, and the available food resources is crucial for designing dietary interventions that are well-accepted and sustainable. While various countries and health organizations provide evidence-based dietary guidelines [134], with notable examples such as Dietary Approaches to Stop Hypertension eating plan [135], Dietary Guidelines for Americans (DGA) [136], and Singapore’s “My Healthy Plate” [137], our review highlights a potential gap that revealed a scarcity of research evaluating the effectiveness of dietary interventions aligned with these established guidelines. Additionally, whole-diet interventions are lacking. These observations underscore the need for further investigation into the impact and efficacy of whole-diet interventions adhering to established dietary recommendations to ensure optimal public health outcomes. Multidisciplinary approaches involving dietitians, dermatologists, and other relevant healthcare professionals can enhance the design and implementation of dietary interventions, ensuring that the dietary plans not only target AD management but also the overall health and well-being of the target group. Finally, most intervention studies have a relatively short-term focus, typically ranging from a few weeks to a few months. This short-term orientation is especially limiting for a chronic cutaneous condition like AD. Moreover, treatment response is restricted to the observed short period and the long-term actual benefits of treatment may be potentially underestimated. Adverse effects, risks, or delayed hazards associated with treatments may also be difficult to detect during the intervention trial. For a more comprehensive understanding of dietary intervention’s influence on the natural course of AD, it is crucial to conduct longitudinal studies that extend into adulthood. This extended timeframe allows researchers to track the long-term effects and efficacy of early dietary interventions. Although it can be resource-intensive and require significant time and financial investments, the insights gained from long-term observations would be invaluable in shaping evidence-based strategies for managing AD from early childhood into adulthood.
Limitation and Conclusion
One of the notable challenges in studying interventions for AD is the significant heterogeneity in the types and methodologies of interventions. The diversity extends to the outcome measures used to evaluate the effectiveness of dietary interventions which some studies focus on clinical outcomes like AD severity scores while others assess immunological markers (e.g., cytokine levels, immune cell responses), microbiome composition, patient-reported outcomes (e.g., pruritus, sleep quality), or even genetic changes. Researchers and funding organizations should collaborate internationally, share data and resources, and establish standardized protocols. This approach accelerates research progress and ensures consistency and reliability in AD studies. While we have included studies that adhered to the established guidelines for defining AD, we recognized the extensive heterogeneity within this condition. AD presents a broad spectrum of severity levels and diverse clinical manifestations which may pose a challenge to the generalizability of dietary intervention studies. The effectiveness of a dietary intervention for a specific AD subtype or severity may not necessarily extend across the entire spectrum of variations. Integrating multi-omics data (genomics, proteomics, metabolomics) in future studies can stratify AD into subtypes with unique molecular features, allowing precise assessment of dietary intervention responses [138]. As this review aims to present a comprehensive overview of dietary interventions associated with AD outcomes, the quality of studies was not assessed by the Newcastle-Ottawa Scale. Hence, there may be personal bias and errors, such as misinterpretation of results. Finally, it is important to acknowledge a potential source of bias where studies from non-English speaking countries might have been inadvertently excluded due to our restriction to English-language articles. This could contribute to an underrepresentation of dietary intervention studies from countries like China, potentially underestimating the number of studies in Asia. A separate review focusing on dietary interventions for AD in Asia can be warranted in the future to enable a comprehensive understanding of region-specific dietary approaches, considering the distinct influences of diverse ethnicities, cultures, eating habits, and geographical regions in Asia.
In conclusion, this review identified several effective dietary interventions for reducing AD severity across various targeted populations including adults, pediatric, and lactating or pregnant women. Of these, there were more studies advocated for early-life interventions, particularly through probiotic supplementation in maternal and pediatric diets. Despite the expanding body of intervention research on AD, we emphasize the importance of multidisciplinary approaches and advocate for future RCTs that not only explore improved methodologies but also consider cultural diversity, region-specific dietary approaches, and complement these efforts with longitudinal studies.
Acknowledgments
We would like to extent our gratitude to all authors who have contributed to the studies that we have reviewed and all participants involved in these studies.
Statement of Ethics
All authors have read and consented to the publication of this manuscript.
Conflict of Interest Statement
F.T.C. reports grants from National University of Singapore, Singapore Ministry of Education Academic Research Fund, Singapore Immunology Network, National Medical Research Council (NMRC) (Singapore), Biomedical Research Council (BMRC) (Singapore), National Research Foundation (NRF) (Singapore), Singapore Food Agency (SFA), and the Agency for Science Technology and Research (A*STAR) (Singapore), during the conduct of the study; and consultancy fees from Sime Darby Technology Centre; First Resources Ltd; Genting Plantation, Olam International, and Syngenta Crop Protection, outside the submitted work. The other authors declare no competing interests.
Funding Sources
F.T.C. has received research support from the National University of Singapore, Singapore Ministry of Education Academic Research Fund, Singapore Immunology Network (SIgN), National Medical Research Council (NMRC) (Singapore), Biomedical Research Council (BMRC) (Singapore), National Research Foundation (NRF) (Singapore), Singapore Food Agency (SFA), and the Agency for Science Technology and Research (A*STAR) (Singapore); Grant No. N-154-000-038-001, R-154-000-191-112, R-154-000-404-112, R-154-000-553-112, R-154-000-565-112, R-154-000-630-112, R-154-000-A08-592, R-154-000-A27-597, R-154-000-A91-592, R-154-000-A95-592, R-154-000-B99-114, SIgN-06-006, SIgN-08-020, NMRC/1150/2008, OFIRG20nov-0033, BMRC/01/1/21/18/077, BMRC/04/1/21/19/315, BMRC/APG2013/108, NRF-MP-2020-0004, SFS_RND_SUFP_001_04, W22W3D0006, H17/01/a0/008, and APG2013/108. F.T.C. has received consulting fees from Sime Darby Technology Centre, First Resources Ltd, Genting Plantation, Olam International and Syngenta Crop Protection, outside the submitted work. All funding agencies had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Author Contributions
F.T.C. conceived and supervised the current review study. J.J.L. and M.H.L. contributed to the study design, data analysis, literature review, and interpretation of data. J.J.L. wrote the manuscript draft. All authors have read and approved the final manuscript for submission.
Funding Statement
F.T.C. has received research support from the National University of Singapore, Singapore Ministry of Education Academic Research Fund, Singapore Immunology Network (SIgN), National Medical Research Council (NMRC) (Singapore), Biomedical Research Council (BMRC) (Singapore), National Research Foundation (NRF) (Singapore), Singapore Food Agency (SFA), and the Agency for Science Technology and Research (A*STAR) (Singapore); Grant No. N-154-000-038-001, R-154-000-191-112, R-154-000-404-112, R-154-000-553-112, R-154-000-565-112, R-154-000-630-112, R-154-000-A08-592, R-154-000-A27-597, R-154-000-A91-592, R-154-000-A95-592, R-154-000-B99-114, SIgN-06-006, SIgN-08-020, NMRC/1150/2008, OFIRG20nov-0033, BMRC/01/1/21/18/077, BMRC/04/1/21/19/315, BMRC/APG2013/108, NRF-MP-2020-0004, SFS_RND_SUFP_001_04, W22W3D0006, H17/01/a0/008, and APG2013/108. F.T.C. has received consulting fees from Sime Darby Technology Centre, First Resources Ltd, Genting Plantation, Olam International and Syngenta Crop Protection, outside the submitted work. All funding agencies had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Data Availability Statement
The data that support the findings of this study are not publicly available due to privacy reasons but are available from the corresponding author upon reasonable request. Further inquiries can be directed to the corresponding author.
Supplementary Material
References
- 1. Ali F, Vyas J, Finlay AY. Counting the burden: atopic dermatitis and health-related quality of life. Acta Derm Venereol. 2020;100(12):adv00161. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Gupta D. Atopic dermatitis: a common pediatric condition and its evolution in adulthood. Med Clin North Am. 2015;99(6):1269–xii. [DOI] [PubMed] [Google Scholar]
- 3. David Boothe W, Tarbox JA, Tarbox MB. Atopic dermatitis: pathophysiology. Adv Exp Med Biol. 2017;1027:21–37. [DOI] [PubMed] [Google Scholar]
- 4. Nedoszytko B, Reszka E, Gutowska-Owsiak D, Trzeciak M, Lange M, Jarczak J, et al. Genetic and epigenetic aspects of atopic dermatitis. Int J Mol Sci. 2020;21(18):6484. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Boguniewicz M, Leung DY. Atopic dermatitis: a disease of altered skin barrier and immune dysregulation. Immunol Rev. 2011;242(1):233–46. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Luger T, Amagai M, Dreno B, Dagnelie MA, Liao W, Kabashima K, et al. Atopic dermatitis: role of the skin barrier, environment, microbiome, and therapeutic agents. J Dermatol Sci. 2021;102(3):142–57. [DOI] [PubMed] [Google Scholar]
- 7. Solomon I, Ilie MA, Draghici C, Voiculescu VM, Cāruntu C, Boda D, et al. The impact of lifestyle factors on evolution of atopic dermatitis: an alternative approach. Exp Ther Med. 2019;17(2):1078–84. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Silverberg NB, Lee-Wong M, Yosipovitch G. Diet and atopic dermatitis. Cutis. 2016;97(3):227–32. [PubMed] [Google Scholar]
- 9. Lim JJ, Reginald K, Say YH, Liu MH, Chew FT. A dietary pattern for high estimated total fat amount is associated with enhanced allergy sensitization and atopic diseases among Singapore/Malaysia young Chinese adults. Int Arch Allergy Immunol. 2023;184(10):975–84. [DOI] [PubMed] [Google Scholar]
- 10. Lim JJ, Reginald K, Say YH, Liu MH, Chew FT. Dietary protein intake and associated risks for atopic dermatitis, intrinsic eczema, and allergic sensitization among young Chinese adults in Singapore/Malaysia: key findings from a cross-sectional study. JID Innov. 2023;3(6):100224. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Khan A, Adalsteinsson J, Whitaker-Worth DL. Atopic dermatitis and nutrition. Clin Dermatol. 2022;40(2):135–44. [DOI] [PubMed] [Google Scholar]
- 12. Umborowati MA, Damayanti D, Anggraeni S, Endaryanto A, Surono IS, Effendy I, et al. The role of probiotics in the treatment of adult atopic dermatitis: a meta-analysis of randomized controlled trials. J Health Popul Nutr. 2022;41(1):37. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Hanifin J, Rajka G. Diagnostic features of atopic dermatitis. Acta Derm Venereol. 1980;60:44–7. [Google Scholar]
- 14. Williams HC, Burney PG, Hay RJ, Archer CB, Shipley MJ, Hunter JJ, et al. The U.K. Working Party’s Diagnostic Criteria for Atopic Dermatitis. I. Derivation of a minimum set of discriminators for atopic dermatitis. Br J Dermatol. 1994;131(3):383–96. [DOI] [PubMed] [Google Scholar]
- 15. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372:n71. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Lim JJ, Lim YYE, Ng JY, Malipeddi P, Ng YT, Teo WY, et al. An update on the prevalence, chronicity, and severity of atopic dermatitis and the associated epidemiological risk factors in the Singapore/Malaysia Chinese young adult population: a detailed description of the Singapore/Malaysia Cross-Sectional Genetics Epidemiology Study (SMCGES) cohort. World Allergy Organ J. 2022;15(12):100722. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Wang XS, Shek LP, Ma S, Soh SE, Lee BW, Goh DY. Time trends of co-existing atopic conditions in Singapore school children: prevalence and related factors. Pediatr Allergy Immunol. 2010;21(1 Pt 2):e137–41. [DOI] [PubMed] [Google Scholar]
- 18. Hadi HA, Tarmizi AI, Khalid KA, Gajdács M, Aslam A, Jamshed S. The epidemiology and global burden of atopic dermatitis: a narrative review. Life. 2021;11(9):936. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Hata TR, Audish D, Kotol P, Coda A, Kabigting F, Miller J, et al. A randomized controlled double-blind investigation of the effects of vitamin D dietary supplementation in subjects with atopic dermatitis. J Eur Acad Dermatol Venereol. 2014;28(6):781–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Sánchez-Armendáriz K, García-Gil A, Romero CA, Contreras-Ruiz J, Karam-Orante M, Balcazar-Antonio D, et al. Oral vitamin D3 5000 IU/day as an adjuvant in the treatment of atopic dermatitis: a randomized control trial. Int J Dermatol. 2018;57(12):1516–20. [DOI] [PubMed] [Google Scholar]
- 21. Amestejani M, Salehi BS, Vasigh M, Sobhkhiz A, Karami M, Alinia H, et al. Vitamin D supplementation in the treatment of atopic dermatitis: a clinical trial study. J Drugs Dermatol. 2012;11(3):327–30. [PubMed] [Google Scholar]
- 22. Javanbakht MH, Keshavarz SA, Djalali M, Siassi F, Eshraghian MR, Firooz A, et al. Randomized controlled trial using vitamins E and D supplementation in atopic dermatitis. J Dermatolog Treat. 2011;22(3):144–50. [DOI] [PubMed] [Google Scholar]
- 23. Javanbakht M, Keshavarz S, Mirshafiey A, Djalali M, Siassi F, Eshraghian MR, et al. The effects of vitamins e and d supplementation on erythrocyte superoxide dismutase and catalase in atopic dermatitis. Iran J Public Health. 2010;39(1):57–63. [PMC free article] [PubMed] [Google Scholar]
- 24. Samochocki Z, Bogaczewicz J, Jeziorkowska R, Sysa-Jędrzejowska A, Glińska O, Karczmarewicz E, et al. Vitamin D effects in atopic dermatitis. J Am Acad Dermatol. 2013;69(2):238–44. [DOI] [PubMed] [Google Scholar]
- 25. Tsoureli-Nikita E, Hercogova J, Lotti T, Menchini G. Evaluation of dietary intake of vitamin E in the treatment of atopic dermatitis: a study of the clinical course and evaluation of the immunoglobulin E serum levels. Int J Dermatol. 2002;41(3):146–50. [DOI] [PubMed] [Google Scholar]
- 26. Jaffary F, Faghihi G, Mokhtarian A, Hosseini SM. Effects of oral vitamin E on treatment of atopic dermatitis: a randomized controlled trial. J Res Med Sci. 2015;20(11):1053–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Søyland E, Lea T, Sandstad B, Drevon A. Dietary supplementation with very long-chain n-3 fatty acids in man decreases expression of the interleukin-2 receptor (CD25) on mitogen-stimulated lymphocytes from patients with inflammatory skin diseases. Eur J Clin Invest. 1994;24(4):236–42. [DOI] [PubMed] [Google Scholar]
- 28. Søyland E, Funk J, Rajka G, Sandberg M, Thune P, Rustad L, et al. Dietary supplementation with very long-chain n-3 fatty acids in patients with atopic dermatitis. A double-blind, multicentre study. Br J Dermatol. 1994;130(6):757–64. [DOI] [PubMed] [Google Scholar]
- 29. Koch C, Dölle S, Metzger M, Rasche C, Jungclas H, Rühl R, et al. Docosahexaenoic acid (DHA) supplementation in atopic eczema: a randomized, double-blind, controlled trial. Br J Dermatol. 2008;158(4):786–92. [DOI] [PubMed] [Google Scholar]
- 30. Yang B, Kalimo KO, Mattila LM, Kallio SE, Katajisto JK, Peltola OJ, et al. Effects of dietary supplementation with sea buckthorn (Hippophaë rhamnoides) seed and pulp oils on atopic dermatitis. J Nutr Biochem. 1999;10(11):622–30. [DOI] [PubMed] [Google Scholar]
- 31. Berth-Jones J, Graham-Brown RA. Placebo-controlled trial of essential fatty acid supplementation in atopic dermatitis. Lancet. 1993;341(8860):1557–60. [DOI] [PubMed] [Google Scholar]
- 32. Chung BY, Park SY, Jung MJ, Kim HO, Park CW. Effect of evening primrose oil on Korean patients with mild atopic dermatitis: a randomized, double-blinded, placebo-controlled clinical study. Ann Dermatol. 2018;30(4):409–16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Moroi M, Uchi S, Nakamura K, Sato S, Shimizu N, Fujii M, et al. Beneficial effect of a diet containing heat-killed Lactobacillus paracasei K71 on adult type atopic dermatitis. J Dermatol. 2011;38(2):131–9. [DOI] [PubMed] [Google Scholar]
- 34. Prakoeswa CRS, Bonita L, Karim A, Herwanto N, Umborowati MA, Setyaningrum T, et al. Beneficial effect of Lactobacillus plantarum IS-10506 supplementation in adults with atopic dermatitis: a randomized controlled trial. J Dermatolog Treat. 2022;33(3):1491–8. [DOI] [PubMed] [Google Scholar]
- 35. Michelotti A, Cestone E, De Ponti I, Giardina S, Pisati M, Spartà E, et al. Efficacy of a probiotic supplement in patients with atopic dermatitis: a randomized, double-blind, placebo-controlled clinical trial. Eur J Dermatol. 2021;31(2):225–32. [DOI] [PubMed] [Google Scholar]
- 36. Fang Z, Lu W, Zhao J, Zhang H, Qian L, Wang Q, et al. Probiotics modulate the gut microbiota composition and immune responses in patients with atopic dermatitis: a pilot study. Eur J Nutr. 2020;59(5):2119–30. [DOI] [PubMed] [Google Scholar]
- 37. Drago L, Iemoli E, Rodighiero V, Nicola L, De Vecchi E, Piconi S. Effects of Lactobacillus salivarius LS01 (DSM 22775) treatment on adult atopic dermatitis: a randomized placebo-controlled study. Int J Immunopathol Pharmacol. 2011;24(4):1037–48. [DOI] [PubMed] [Google Scholar]
- 38. Iemoli E, Trabattoni D, Parisotto S, Borgonovo L, Toscano M, Rizzardini G, et al. Probiotics reduce gut microbial translocation and improve adult atopic dermatitis. J Clin Gastroenterol. 2012;46(Suppl l):S33–40. [DOI] [PubMed] [Google Scholar]
- 39. Matsumoto M, Ebata T, Hirooka J, Hosoya R, Inoue N, Itami S, et al. Antipruritic effects of the probiotic strain LKM512 in adults with atopic dermatitis. Ann Allergy Asthma Immunol. 2014;113(2):209–16.e7. [DOI] [PubMed] [Google Scholar]
- 40. Hakuta A, Yamaguchi Y, Okawa T, Yamamoto S, Sakai Y, Aihara M. Anti-inflammatory effect of collagen tripeptide in atopic dermatitis. J Dermatol Sci. 2017;88(3):357–64. [DOI] [PubMed] [Google Scholar]
- 41. Ehlers I, Worm M, Sterry W, Zuberbier T. Sugar is not an aggravating factor in atopic dermatitis. Acta Derm Venereol. 2001;81(4):282–4. [DOI] [PubMed] [Google Scholar]
- 42. Kobayashi H, Mizuno N, Teramae H, Kutsuna H, Ueoku S, Onoyama J, et al. Diet and Japanese herbal medicine for recalcitrant atopic dermatitis: efficacy and safety. Drugs Exp Clin Res. 2004;30(5–6):197–202. [PubMed] [Google Scholar]
- 43. Hataguchi Y, Tai H, Nakajima H, Kimata H. Drinking deep-sea water restores mineral imbalance in atopic eczema/dermatitis syndrome. Eur J Clin Nutr. 2005;59(9):1093–6. [DOI] [PubMed] [Google Scholar]
- 44. Abe T, Koyama Y, Nishimura K, Okiura A, Takahashi T. Efficacy and safety of fig (Ficus carica L.) leaf tea in adults with mild atopic dermatitis: a double-blind, randomized, placebo-controlled preliminary trial. Nutrients. 2022;14(21):4470. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Mehrbani M, Choopani R, Fekri A, Mehrabani M, Mosaddegh M, Mehrabani M. The efficacy of whey associated with dodder seed extract on moderate-to-severe atopic dermatitis in adults: a randomized, double-blind, placebo-controlled clinical trial. J Ethnopharmacol. 2015;172:325–32. [DOI] [PubMed] [Google Scholar]
- 46. Worm M, Fiedler EM, Dölle S, Schink T, Hemmer W, Jarisch R, et al. Exogenous histamine aggravates eczema in a subgroup of patients with atopic dermatitis. Acta Derm Venereol. 2009;89(1):52–6. [DOI] [PubMed] [Google Scholar]
- 47. Tan SP, Brown SB, Griffiths CE, Weller RB, Gibbs NK. Feeding filaggrin: effects of l-histidine supplementation in atopic dermatitis. Clin Cosmet Investig Dermatol. 2017;10:403–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48. Eriksen BB, Kåre DL. Open trial of supplements of omega 3 and 6 fatty acids, vitamins and minerals in atopic dermatitis. J Dermatolog Treat. 2006;17(2):82–5. [DOI] [PubMed] [Google Scholar]
- 49. Tanaka T, Kouda K, Kotani M, Takeuchi A, Tabei T, Masamoto Y, et al. Vegetarian diet ameliorates symptoms of atopic dermatitis through reduction of the number of peripheral eosinophils and of PGE2 synthesis by monocytes. J Physiol Anthropol Appl Hum Sci. 2001;20(6):353–61. [DOI] [PubMed] [Google Scholar]
- 50. El-Heis S, D’Angelo S, Curtis EM, Healy E, Moon RJ, Crozier SR, et al. Maternal antenatal vitamin D supplementation and offspring risk of atopic eczema in the first 4 years of life: evidence from a randomized controlled trial. Br J Dermatol. 2022;187(5):659–66. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51. Norizoe C, Akiyama N, Segawa T, Tachimoto H, Mezawa H, Ida H, et al. Increased food allergy and vitamin D: randomized, double-blind, placebo-controlled trial. Pediatr Int. 2014;56(1):6–12. [DOI] [PubMed] [Google Scholar]
- 52. Furuhjelm C, Warstedt K, Fagerås M, Fälth-Magnusson K, Larsson J, Fredriksson M, et al. Allergic disease in infants up to 2 years of age in relation to plasma omega-3 fatty acids and maternal fish oil supplementation in pregnancy and lactation. Pediatr Allergy Immunol. 2011;22(5):505–14. [DOI] [PubMed] [Google Scholar]
- 53. Linnamaa P, Savolainen J, Koulu L, Tuomasjukka S, Kallio H, Yang B, et al. Blackcurrant seed oil for prevention of atopic dermatitis in newborns: a randomized, double-blind, placebo-controlled trial. Clin Exp Allergy. 2010;40(8):1247–55. [DOI] [PubMed] [Google Scholar]
- 54. Kitz R, Rose MA, Schönborn H, Zielen S, Böhles HJ. Impact of early dietary gamma-linolenic acid supplementation on atopic eczema in infancy. Pediatr Allergy Immunol. 2006;17(2):112–7. [DOI] [PubMed] [Google Scholar]
- 55. Noakes PS, Vlachava M, Kremmyda LS, Diaper ND, Miles EA, Erlewyn-Lajeunesse M, et al. Increased intake of oily fish in pregnancy: effects on neonatal immune responses and on clinical outcomes in infants at 6 mo. Am J Clin Nutr. 2012;95(2):395–404. [DOI] [PubMed] [Google Scholar]
- 56. Enomoto T, Sowa M, Nishimori K, Shimazu S, Yoshida A, Yamada K, et al. Effects of bifidobacterial supplementation to pregnant women and infants in the prevention of allergy development in infants and on fecal microbiota. Allergol Int. 2014;63(4):575–85. [DOI] [PubMed] [Google Scholar]
- 57. Kim JY, Kwon JH, Ahn SH, Lee SI, Han YS, Choi YO, et al. Effect of probiotic mix (Bifidobacterium bifidum, Bifidobacterium lactis, Lactobacillus acidophilus) in the primary prevention of eczema: a double-blind, randomized, placebo-controlled trial. Pediatr Allergy Immunol. 2010;21(2 Pt 2):e386–93. [DOI] [PubMed] [Google Scholar]
- 58. Kukkonen K, Savilahti E, Haahtela T, Juntunen-Backman K, Korpela R, Poussa T, et al. Probiotics and prebiotic galacto-oligosaccharides in the prevention of allergic diseases: a randomized, double-blind, placebo-controlled trial. J Allergy Clin Immunol. 2007;119(1):192–8. [DOI] [PubMed] [Google Scholar]
- 59. Kuitunen M, Kukkonen K, Juntunen-Backman K, Korpela R, Poussa T, Tuure T, et al. Probiotics prevent IgE-associated allergy until age 5 years in cesarean-delivered children but not in the total cohort. J Allergy Clin Immunol. 2009;123(2):335–41. [DOI] [PubMed] [Google Scholar]
- 60. Allen SJ, Jordan S, Storey M, Thornton CA, Gravenor MB, Garaiova I, et al. Probiotics in the prevention of eczema: a randomised controlled trial. Arch Dis Child. 2014;99(11):1014–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61. Wickens K, Black PN, Stanley TV, Mitchell E, Fitzharris P, Tannock GW, et al. A differential effect of 2 probiotics in the prevention of eczema and atopy: a double-blind, randomized, placebo-controlled trial. J Allergy Clin Immunol. 2008;122(4):788–94. [DOI] [PubMed] [Google Scholar]
- 62. Rø ADB, Simpson MR, Rø TB, Storrø O, Johnsen R, Videm V, et al. Reduced Th22 cell proportion and prevention of atopic dermatitis in infants following maternal probiotic supplementation. Clin Exp Allergy. 2017;47(8):1014–21. [DOI] [PubMed] [Google Scholar]
- 63. Abrahamsson TR, Jakobsson T, Böttcher MF, Fredrikson M, Jenmalm MC, Björkstén B, et al. Probiotics in prevention of IgE-associated eczema: a double-blind, randomized, placebo-controlled trial. J Allergy Clin Immunol. 2007;119(5):1174–80. [DOI] [PubMed] [Google Scholar]
- 64. Kalliomäki M, Salminen S, Arvilommi H, Kero P, Koskinen P, Isolauri E. Probiotics in primary prevention of atopic disease: a randomised placebo-controlled trial. Lancet. 2001;357(9262):1076–9. [DOI] [PubMed] [Google Scholar]
- 65. Boyle RJ, Ismail IH, Kivivuori S, Licciardi PV, Robins-Browne RM, Mah LJ, et al. Lactobacillus GG treatment during pregnancy for the prevention of eczema: a randomized controlled trial. Allergy. 2011;66(4):509–16. [DOI] [PubMed] [Google Scholar]
- 66. Ou CY, Kuo HC, Wang L, Hsu TY, Chuang H, Liu CA, et al. Prenatal and postnatal probiotics reduces maternal but not childhood allergic diseases: a randomized, double-blind, placebo-controlled trial. Clin Exp Allergy. 2012;42(9):1386–96. [DOI] [PubMed] [Google Scholar]
- 67. Böttcher MF, Abrahamsson TR, Fredriksson M, Jakobsson T, Björkstén B. Low breast milk TGF-beta2 is induced by Lactobacillus reuteri supplementation and associates with reduced risk of sensitization during infancy. Pediatr Allergy Immunol. 2008;19(6):497–504. [DOI] [PubMed] [Google Scholar]
- 68. Nurani N, Prawirohartono EP, Wahab AS. Effect of egg avoidance diet by nursing mothers on the incidence of atopic dermatitis in infants. Paediatr Indones. 2008;48(2):71–5. [Google Scholar]
- 69. Sigurs N, Hattevig G, Kjellman B. Maternal avoidance of eggs, cow’s milk, and fish during lactation: effect on allergic manifestations, skin-prick tests, and specific IgE antibodies in children at age 4 years. Pediatrics. 1992;89(4):735–9. [PubMed] [Google Scholar]
- 70. Mansour NO, Mohamed AA, Hussein M, Eldemiry E, Daifalla A, Hassanin S, et al. The impact of vitamin D supplementation as an adjuvant therapy on clinical outcomes in patients with severe atopic dermatitis: a randomized controlled trial. Pharmacol Res Perspect. 2020;8(6):e00679. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71. Camargo CA Jr, Ganmaa D, Sidbury R, Erdenedelger K, Radnaakhand N, Khandsuren B. Randomized trial of vitamin D supplementation for winter-related atopic dermatitis in children. J Allergy Clin Immunol. 2014;134(4):831–5.e1. [DOI] [PubMed] [Google Scholar]
- 72. Lara-Corrales I, Huang CM, Parkin PC, Rubio-Gomez GA, Posso-De Los Rios CJ, Maguire J, et al. Vitamin D level and supplementation in pediatric atopic dermatitis: a randomized controlled trial. J Cutan Med Surg. 2019;23(1):44–9. [DOI] [PubMed] [Google Scholar]
- 73. Galli E, Rocchi L, Carello R, Giampietro PG, Panei P, Meglio P. Serum Vitamin D levels and Vitamin D supplementation do not correlate with the severity of chronic eczema in children. Eur Ann Allergy Clin Immunol. 2015;47(2):41–7. [PubMed] [Google Scholar]
- 74. Udompataikul M, Huajai S, Chalermchai T, Taweechotipatr M, Kamanamool N. The effects of oral vitamin D supplement on atopic dermatitis: a clinical trial with Staphylococcus aureus colonization determination. J Med Assoc Thai. 2015;98(Suppl 9):S23–30. [PubMed] [Google Scholar]
- 75. Modi NP, Dash AK. Clinico-biochemical relation of Vitamin D3 with the severity of atopic dermatitis and response to supplementation of Vitamin D3: a randomized controlled trial. Ind J Child Health. 2022;8(12):412–5. [Google Scholar]
- 76. Aldaghi M, Tehrani H, Karrabi M, Abadi FS, Sahebkar M. The effect of multistrain synbiotic and vitamin D3 supplements on the severity of atopic dermatitis among infants under 1 year of age: a double-blind, randomized clinical trial study. J Dermatolog Treat. 2022;33(2):812–7. [DOI] [PubMed] [Google Scholar]
- 77. Di Filippo P, Scaparrotta A, Rapino D, Cingolani A, Attanasi M, Petrosino MI, et al. Vitamin D supplementation modulates the immune system and improves atopic dermatitis in children. Int Arch Allergy Immunol. 2015;166(2):91–6. [DOI] [PubMed] [Google Scholar]
- 78. Cabalín C, Pérez-Mateluna G, Iturriaga C, Camargo CA Jr, Borzutzky A. Oral vitamin D modulates the epidermal expression of the vitamin D receptor and cathelicidin in children with atopic dermatitis. Arch Dermatol Res. 2023;315(4):761–70. [DOI] [PubMed] [Google Scholar]
- 79. Imoto RR, Uber M, Abagge KT, Lima MN, Rosário NA, Carvalho VO. Vitamin D supplementation and severity of atopic dermatitis: pre-post assessment. Allergol Immunopathol. 2021;49(2):66–71. [DOI] [PubMed] [Google Scholar]
- 80. Sánchez-Armendáriz K, García-Gil A, Romero CA, Contreras-Ruiz J, Karam-Orante M, Balcazar-Antonio D, et al. Oral vitamin D3 5000 IU/day as an adjuvant in the treatment of atopic dermatitis: a randomized control trial. Int J Dermatol. 2018;57(12):1516–20. [DOI] [PubMed] [Google Scholar]
- 81. Hederos CA, Berg A. Epogam evening primrose oil treatment in atopic dermatitis and asthma. Arch Dis Child. 1996;75(6):494–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82. Van Gool CJ, Thijs C, Henquet CJ, van Houwelingen AC, Dagnelie PC, Schrander J, et al. Gamma-linolenic acid supplementation for prophylaxis of atopic dermatitis--a randomized controlled trial in infants at high familial risk. Am J Clin Nutr. 2003;77(4):943–51. [DOI] [PubMed] [Google Scholar]
- 83. Birch EE, Khoury JC, Berseth CL, Castañeda YS, Couch JM, Bean J, et al. The impact of early nutrition on incidence of allergic manifestations and common respiratory illnesses in children. J Pediatr. 2010;156(6):902–6.e1. [DOI] [PubMed] [Google Scholar]
- 84. Dotterud CK, Storrø O, Simpson MR, Johnsen R, Øien T. The impact of pre- and postnatal exposures on allergy related diseases in childhood: a controlled multicentre intervention study in primary health care. BMC Public Health. 2013;13:123. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85. Pessi T, Sütas Y, Hurme M, Isolauri E. Interleukin-10 generation in atopic children following oral Lactobacillus rhamnosus GG. Clin Exp Allergy. 2000;30(12):1804–8. [DOI] [PubMed] [Google Scholar]
- 86. Nermes M, Kantele JM, Atosuo TJ, Salminen S, Isolauri E. Interaction of orally administered Lactobacillus rhamnosus GG with skin and gut microbiota and humoral immunity in infants with atopic dermatitis. Clin Exp Allergy. 2011;41(3):370–7. [DOI] [PubMed] [Google Scholar]
- 87. Kirjavainen PV, Salminen SJ, Isolauri E. Probiotic bacteria in the management of atopic disease: underscoring the importance of viability. J Pediatr Gastroenterol Nutr. 2003;36(2):223–7. [DOI] [PubMed] [Google Scholar]
- 88. Fölster-Holst R, Müller F, Schnopp N, Abeck D, Kreiselmaier I, Lenz T, et al. Prospective, randomized controlled trial on Lactobacillus rhamnosus in infants with moderate to severe atopic dermatitis. Br J Dermatol. 2006;155(6):1256–61. [DOI] [PubMed] [Google Scholar]
- 89. Grüber C, Wendt M, Sulser C, Lau S, Kulig M, Wahn U, et al. Randomized, placebo-controlled trial of Lactobacillus rhamnosus GG as treatment of atopic dermatitis in infancy. Allergy. 2007;62(11):1270–6. [DOI] [PubMed] [Google Scholar]
- 90. Cabana MD, McKean M, Caughey AB, Fong L, Lynch S, Wong A, et al. Early probiotic supplementation for eczema and asthma prevention: a randomized controlled trial. Pediatrics. 2017;140(3):e20163000. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91. Taylor AL, Dunstan JA, Prescott SL. Probiotic supplementation for the first 6 months of life fails to reduce the risk of atopic dermatitis and increases the risk of allergen sensitization in high-risk children: a randomized controlled trial. J Allergy Clin Immunol. 2007;119(1):184–91. [DOI] [PubMed] [Google Scholar]
- 92. Nakata J, Hirota T, Umemura H, Nakagawa T, Kando N, Futamura M, et al. Additive effect of Lactobacillus acidophilus L-92 on children with atopic dermatitis concomitant with food allergy. Asia Pac Allergy. 2019;9(2):e18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93. Yan DC, Hung CH, Sy LB, Lue KH, Shih IH, Yang CY, et al. A randomized, double-blind, placebo-controlled trial assessing the oral administration of a heat-treated lactobacillus paracasei supplement in infants with atopic dermatitis receiving topical corticosteroid therapy. Skin Pharmacol Physiol. 2019;32(4):201–11. [DOI] [PubMed] [Google Scholar]
- 94. Klewicka E, Cukrowska B, Libudzisz Z, Slizewska K, Motyl I. Changes in gut microbiota in children with atopic dermatitis administered the bacteria Lactobacillus casei DN--114001. Pol J Microbiol. 2011;60(4):329–33. [PubMed] [Google Scholar]
- 95. Prescott SL, Dunstan JA, Hale J, Breckler L, Lehmann H, Weston S, et al. Clinical effects of probiotics are associated with increased interferon-gamma responses in very young children with atopic dermatitis. Clin Exp Allergy. 2005;35(12):1557–64. [DOI] [PubMed] [Google Scholar]
- 96. Ahn SH, Yoon W, Lee SY, Shin HS, Lim MY, Nam YD, et al. Effects of Lactobacillus pentosus in children with allergen-sensitized atopic dermatitis. J Korean Med Sci. 2020;35(18):e128. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97. Prakoeswa CRS, Herwanto N, Prameswari R, Astari L, Sawitri S, Hidayati AN, et al. Lactobacillus plantarum IS-10506 supplementation reduced SCORAD in children with atopic dermatitis. Benef Microbes. 2017;8(5):833–40. [DOI] [PubMed] [Google Scholar]
- 98. Rather IA, Kim BC, Lew LC, Cha SK, Lee JH, Nam GJ, et al. Oral administration of live and dead cells of lactobacillus sakei proBio65 alleviated atopic dermatitis in children and adolescents: a randomized, double-blind, and placebo-controlled study. Probiotics Antimicrob Proteins. 2021;13(2):315–26. [DOI] [PubMed] [Google Scholar]
- 99. Morgan AR, Han DY, Wickens K, Barthow C, Mitchell EA, Stanley TV, et al. Differential modification of genetic susceptibility to childhood eczema by two probiotics. Clin Exp Allergy. 2014;44(10):1255–65. [DOI] [PubMed] [Google Scholar]
- 100. Schmidt RM, Pilmann Laursen R, Bruun S, Larnkjaer A, Mølgaard C, Michaelsen KF, et al. Probiotics in late infancy reduce the incidence of eczema: a randomized controlled trial. Pediatr Allergy Immunol. 2019;30(3):335–40. [DOI] [PubMed] [Google Scholar]
- 101. Rozé JC, Barbarot S, Butel MJ, Kapel N, Waligora-Dupriet AJ, De Montgolfier I, et al. An α-lactalbumin-enriched and symbiotic-supplemented v. a standard infant formula: a multicentre, double-blind, randomised trial. Br J Nutr. 2012;107(11):1616–22. [DOI] [PubMed] [Google Scholar]
- 102. Rosenfeldt V, Benfeldt E, Nielsen SD, Michaelsen KF, Jeppesen DL, Valerius NH, et al. Effect of probiotic Lactobacillus strains in children with atopic dermatitis. J Allergy Clin Immunol. 2003;111(2):389–95. [DOI] [PubMed] [Google Scholar]
- 103. Sistek D, Kelly R, Wickens K, Stanley T, Fitzharris P, Crane J. Is the effect of probiotics on atopic dermatitis confined to food sensitized children? Clin Exp Allergy. 2006;36(5):629–33. [DOI] [PubMed] [Google Scholar]
- 104. Brouwer ML, Wolt-Plompen SA, Dubois AE, van der Heide S, Jansen DF, Hoijer MA, et al. No effects of probiotics on atopic dermatitis in infancy: a randomized placebo-controlled trial. Clin Exp Allergy. 2006;36(7):899–906. [DOI] [PubMed] [Google Scholar]
- 105. Soh SE, Aw M, Gerez I, Chong YS, Rauff M, Ng YPM, et al. Probiotic supplementation in the first 6 months of life in at risk Asian infants--effects on eczema and atopic sensitization at the age of 1 year. Clin Exp Allergy. 2009;39(4):571–8. [DOI] [PubMed] [Google Scholar]
- 106. Isolauri E, Arvola T, Sütas Y, Moilanen E, Salminen S. Probiotics in the management of atopic eczema. Clin Exp Allergy. 2000;30(11):1604–10. [DOI] [PubMed] [Google Scholar]
- 107. Viljanen M, Savilahti E, Haahtela T, Juntunen-Backman K, Korpela R, Poussa T, et al. Probiotics in the treatment of atopic eczema/dermatitis syndrome in infants: a double-blind placebo-controlled trial. Allergy. 2005;60(4):494–500. [DOI] [PubMed] [Google Scholar]
- 108. Gerasimov SV, Vasjuta VV, Myhovych OO, Bondarchuk LI. Probiotic supplement reduces atopic dermatitis in preschool children: a randomized, double-blind, placebo-controlled, clinical trial. Am J Clin Dermatol. 2010;11(5):351–61. [DOI] [PubMed] [Google Scholar]
- 109. Gore C, Custovic A, Tannock GW, Munro K, Kerry G, Johnson K, et al. Treatment and secondary prevention effects of the probiotics Lactobacillus paracasei or Bifidobacterium lactis on early infant eczema: randomized controlled trial with follow-up until age 3 years. Clin Exp Allergy. 2012;42(1):112–22. [DOI] [PubMed] [Google Scholar]
- 110. Moro G, Arslanoglu S, Stahl B, Jelinek J, Wahn U, Boehm G. A mixture of prebiotic oligosaccharides reduces the incidence of atopic dermatitis during the first six months of age. Arch Dis Child. 2006;91(10):814–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111. van Hoffen E, Ruiter B, Faber J, M’Rabet L, Knol EF, Stahl B, et al. A specific mixture of short-chain galacto-oligosaccharides and long-chain fructo-oligosaccharides induces a beneficial immunoglobulin profile in infants at high risk for allergy. Allergy. 2009;64(3):484–7. [DOI] [PubMed] [Google Scholar]
- 112. Arslanoglu S, Moro GE, Schmitt J, Tandoi L, Rizzardi S, Boehm G. Early dietary intervention with a mixture of prebiotic oligosaccharides reduces the incidence of allergic manifestations and infections during the first two years of life. J Nutr. 2008;138(6):1091–5. [DOI] [PubMed] [Google Scholar]
- 113. Plummer EL, Chebar Lozinsky A, Tobin JM, Uebergang JB, Axelrad C, Garland SM, et al. Postnatal probiotics and allergic disease in very preterm infants: sub-study to the ProPrems randomized trial. Allergy. 2020;75(1):127–36. [DOI] [PubMed] [Google Scholar]
- 114. Berg A, Krämer U, Link E, Bollrath C, Heinrich J, Brockow I, et al. Impact of early feeding on childhood eczema: development after nutritional intervention compared with the natural course - the GINIplus study up to the age of 6 years. Clin Exp Allergy. 2010;40(4):627–36. [DOI] [PubMed] [Google Scholar]
- 115. Di Mauro A, Baldassarre ME, Brindisi G, Zicari AM, Tarantini M, Laera N, et al. Hydrolyzed protein formula for allergy prevention in preterm infants: follow-up analysis of a randomized, triple-blind, placebo-controlled study. Front Pediatr. 2020;8:422. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 116. Singer S, Koenekoop J, Meddings J, Powell J, Desroches A, Seidman EG. Pancreatic enzyme supplementation in patients with atopic dermatitis and food allergies: an open-label pilot study. Paediatr Drugs. 2019;21(1):41–5. [DOI] [PubMed] [Google Scholar]
- 117. Lee JM, Jin HJ, Noh G, Lee SS. Effect of processed foods on serum levels of eosinophil cationic protein among children with atopic dermatitis. Nutr Res Pract. 2011;5(3):224–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 118. Devlin J, David TJ, Stanton RH. Six food diet for childhood atopic dermatitis. Acta Derm Venereol. 1991;71(1):20–4. [PubMed] [Google Scholar]
- 119. Anoop T, Mathew P, Sridharan R, Sreenivasan A. A controlled crossover study to assess the role of dietary eliminations in reducing the severity of atopic dermatitis in children. Indian J Paediatr Dermatol. 2019;20(1):41–5. [Google Scholar]
- 120. Mabin DC, Sykes AE, David TJ. Controlled trial of a few foods diet in severe atopic dermatitis. Arch Dis Child. 1995;73(3):202–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 121. Aoki T, Kojima M, Adachi J, Okano M. Effect of short-term egg exclusion diet on infantile atopic dermatitis and its relation to egg allergy: a single-blind test. Acta Derm Venereol Suppl Stockh. 1992;176:99–102. [PubMed] [Google Scholar]
- 122. Alderman H, Behrman JR, Glewwe P, Fernald L, Walker S. Evidence of impact of interventions on growth and development during early and middle childhood. In: Bundy DAP, Silva ND, Horton S, Jamison DT, Patton GC, editors. Child and adolescent health and development. 3rd ed. Washington (DC): The International Bank for Reconstruction and Development/The World Bank; 2017. [PubMed] [Google Scholar]
- 123. Carucci L, Nocerino R, Paparo L, De Filippis F, Coppola S, Giglio V, et al. Therapeutic effects elicited by the probiotic Lacticaseibacillus rhamnosus GG in children with atopic dermatitis. The results of the ProPAD trial. Pediatr Allergy Immunol. 2022;33(8):e13836. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124. Basra MK, Salek MS, Camilleri L, Sturkey R, Finlay AY. Determining the minimal clinically important difference and responsiveness of the Dermatology Life Quality Index (DLQI): further data. Dermatology. 2015;230(1):27–33. [DOI] [PubMed] [Google Scholar]
- 125. Husein-ElAhmed H, Steinhoff M. Effects of probiotic supplementation in adult with atopic dermatitis: a systematic review with meta-analysis. Clin Exp Dermatol. 2023;49(1):46–52. [DOI] [PubMed] [Google Scholar]
- 126. Lassi ZS, Salam RA, Das JK, Bhutta ZA. Essential interventions for maternal, newborn and child health: background and methodology. Reprod Health. 2014;11(Suppl 1):S1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 127. Silverberg JI. Atopic dermatitis in adults. Med Clin North Am. 2020;104(1):157–76. [DOI] [PubMed] [Google Scholar]
- 128. Kim MJ, Kim SN, Lee YW, Choe YB, Ahn KJ. Vitamin D status and efficacy of vitamin D supplementation in atopic dermatitis: a systematic review and meta-analysis. Nutrients. 2016;8(12):789. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 129. Maggini S, Pierre A, Calder PC. Immune function and micronutrient requirements change over the life course. Nutrients. 2018;10(10):1531. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 130. Kechichian E, Ezzedine K. Vitamin D and the skin: an update for dermatologists. Am J Clin Dermatol. 2018;19(2):223–35. [DOI] [PubMed] [Google Scholar]
- 131. El-Sharkawy A, Malki A. Vitamin D signaling in inflammation and cancer: molecular mechanisms and therapeutic implications. Molecules. 2020;25(14):3219. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 132. Hidayati AN, Sawitri S, Sari DW, Prakoeswa CRS, Indramaya DM, Damayanti D, et al. Efficacy of vitamin D supplementation on the severity of atopic dermatitis in children: a systematic review and meta-analysis. F1000Res. 2022;11:274. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 133. Monterrosa EC, Frongillo EA, Drewnowski A, de Pee S, Vandevijvere S. Sociocultural influences on food choices and implications for sustainable Healthy diets. Food Nutr Bull. 2020;41(2_Suppl l):59S–73S. [DOI] [PubMed] [Google Scholar]
- 134. Locke A, Schneiderhan J, Zick SM. Diets for health: goals and guidelines. Am Fam Physician. 2018;97(11):721–8. [PubMed] [Google Scholar]
- 135. Campbell AP. DASH eating plan: an eating pattern for diabetes management. Diabetes Spectr. 2017;30(2):76–81. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 136. Phillips JA. Dietary guidelines for Americans, 2020-2025. Workplace Health Saf. 2021;69(8):395. [DOI] [PubMed] [Google Scholar]
- 137. Singapore Health Promotion Board . My healthy plate. 2023. Avalible from: https://www.healthhub.sg/programmes/nutrition-hub/eat-more. [Google Scholar]
- 138. Ghosh D, Bernstein JA, Khurana Hershey GK, Rothenberg ME, Mersha TB. Leveraging multilayered “omics” data for atopic dermatitis: a road map to precision medicine. Front Immunol. 2018;9:2727. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The data that support the findings of this study are not publicly available due to privacy reasons but are available from the corresponding author upon reasonable request. Further inquiries can be directed to the corresponding author.