Open Access

Atopic dermatitis prevention in children following maternal probiotic supplementation does not appear to be mediated by breast milk TSLP or TGF-β

  • Melanie Rae Simpson1, 4Email author,
  • Anne Dorthea Bjerkenes Rø1, 2,
  • Øystein Grimstad3,
  • Roar Johnsen1,
  • Ola Storrø1 and
  • Torbjørn Øien1
Clinical and Translational Allergy20166:27

https://doi.org/10.1186/s13601-016-0119-6

Received: 1 April 2016

Accepted: 29 June 2016

Published: 22 July 2016

Abstract

Background

The Probiotics in Prevention of Allergy among Children in Trondheim (ProPACT) study, a randomised, placebo controlled trial, demonstrated that maternal supplementation with probiotic milk reduced the incidence of atopic dermatitis (AD) in infancy. The mechanisms behind this effect are incompletely understood and breast milk cytokines have been postulated as possible mediating factors. In this study we aimed to assess whether breast milk TLSP and TGF-β are affected by a maternal probiotic supplementation regime, and their contribution to the preventive effect of this regime on AD in the offspring.

Methods

TSLP and TGF-β isoforms (TGF-β1, TGF-β2 and TGF-β3) were measured using ELISA and multiplex assays, respectively, in breast milk samples collected at 10 days and 3 months postpartum from women participating in the ProPACT trial (n = 259). The natural indirect and direct effects of maternal probiotics on AD, due to changes in breast milk cytokines, were estimated using causal mediation techniques.

Results

Probiotic supplementation tend to lead to high levels of breast milk TSLP at 10 days postpartum (p = 0.062), but this change did not contribute to the prevention of AD according to the mediation analysis. Probiotics had no apparent effect on TSLP at 3 months or TGF-βs at either time points. Thus, these are unlikely to be mediators of the effect of maternal probiotics on AD in offspring.

Conclusions

Whilst maternal probiotic supplementation resulted in higher breast milk concentrations of TLSP at 10 days postpartum, this does not appear to be a mechanism for prevention of AD by maternal probiotics.

Trial registration The original trial protocol is registered in ClinicalTrials.gov (identifier NCT00159523)

Background

Perinatal supplementation with probiotics has been shown to reduce the incidence of atopic dermatitis (AD) in infancy [1, 2]. Our own study, the Probiotics in the Prevention of Allergies among Children in Trondheim (ProPACT) trial, demonstrated a 40 % reduction in the development of AD following maternal probiotic supplementation [3]. However, the biological mechanisms behind this effect are incompletely understood. Using samples taken during the ProPACT trial, we have previously reported that the maternal intestinal microbiota is modified by probiotic supplementation, and that children born to mothers who received the probiotics have a higher abundance of Lactobacillus rhamnosus GG (LGG) which persists up until 3 months of age [4]. Whilst the transfer of such probiotic bacteria from mother to child may prevent AD, alterations in various components of breast milk have also been postulated as possible mediating factors.

In addition to being a source of nutrition and hydration for newborn infants, breast milk contains a number of immunologically active cells and molecules, such as immunoglobulins, lactoferrins, growth factors and cytokines [5]. Among the cytokines found in breast milk are thymic stromal lymphopoietin (TSLP) and the transforming growth factor-β (TGF-β) cytokines. TSLP has been implicated in the establishment and maintenance of T helper type 2 (Th2) responses, and thus also in defence against helminthic infections and in the pathogenesis of allergy related diseases [6]. Genetic variants of TSLP have been associated with AD and asthma [7] and high levels of epidermal TSLP precede the clinical presentation of childhood AD [8], suggesting that TSLP may be particularly important in the establishment of AD. Other studies have demonstrated that TSLP activates skin dendritic cells promoting a Th2 response and interacts directly with skin-homing Th2 cells to enhance interleukin-4 (IL-4) production which is thought to contribute to the maintenance of inflammation in chronic AD [9, 10]. Consistent with these studies, higher concentrations of TSLP have been reported in both acute and chronic AD lesions [6]. Murine models have shown that over-expression of TSLP in keratinocytes induces an AD-like skin disease and can predispose to allergic airway inflammation after intranasal challenge. Thus, TSLP may also be involved in the progression to other allergy related diseases, a process often referred to as the atopic march [6]. However, the biological effects of breast milk TSLP for the mother and child are unknown [11], and this cytokine is previously unstudied within the context of maternal probiotic supplementation. Neither has the effect of maternal atopy on breast milk TSLP been investigated, nor the association between breast milk TSLP and the development of AD. In contrast to TSLP, the human isoforms of TGF-β (TGF-β1, TGF-β2 and TGF-β3) are primarily implicated in inhibition of allergic inflammation through a wide range of immunoregulatory effects [12]. All three isoforms of TGF-β are found in breast milk. Studies investigating the effect of probiotic supplementation on breast milk TGF-β concentrations and or their association with later allergy related disease in offspring, have produced conflicting results [1318].

Both TSLP and TGF-βs appear to have important roles in acute and chronic phases of allergy related disease, which makes them interesting as potential mediators of this preventive effect. The aims of the current study were to: (a) determine if perinatal maternal probiotic supplementation alters the concentration of TLSP, TGF-β1, TGF-β2 or TGF-β3 in breast milk at 10 days and 3 months postpartum and (b) investigate if these breast milk cytokines contribute to the preventative effect of maternal probiotic supplementation on the development of AD at 2 years of age through causal mediation analysis.

Methods

Participant recruitment and sample collection

The ProPACT trial enrolled 415 pregnant women who were randomised to receive 250 mL per day of probiotic or placebo milk from 36 weeks gestation until 3 months postpartum [3]. The probiotic milk contained 5 × 1010 colony-forming units (CFUs) of Lactobacillus rhamnosus GG (LGG) and Bifidobacterium animalis subsp. lactis Bb-12 (Bb-12) and 5 × 109 CFU of L. acidophilus La-5 (La-5) per serving. The placebo was a fermented skim milk, pasteurised after fermentation and contained no probiotic bacteria. Participants completed lifestyle questionnaires at baseline (~30–36 weeks gestation), 6 weeks, 1 and 2 years postpartum and child health questionnaires at 1 and 2 years of age. The outcome of interest in the current study was the development of AD by 2 years of age as diagnosed by a paediatrician using the United Kingdom (UK) Working Party Diagnostic criteria [19]. Detailed descriptions of the ProPACT study design and clinical outcomes have been published previously [3, 20].

Breast milk samples were collected into a sterile container at 10 days and 3 months postpartum and stored in the participant’s home freezer until transported to the laboratory in Styrofoam containers to prevent thawing. Samples were subsequently stored at −80 °C until analysis. All mother-infant pairs that attended the 2 year clinical follow-up and submitted at least one breast milk sample were eligible for inclusion in this study.

Cytokine quantification

Breast milk samples were thawed and centrifuged (16,100g, 10 min, 4 °C) to remove the lipids, cells and debris. The aqueous portion was used for subsequent cytokine quantification. TSLP concentrations were measured using a human TLSP ELISA kit (R&D Systems, Minneapolis, USA) according to the manufacturer’s instructions. The standards and an internal control were conducted in triplicate. The intra-assay coefficient of variation (CV) was <13.5 % and inter-assay CV was 22 %. A large proportion of the samples had TSLP concentrations outside of the detection limits of the assay, both above and below. We have therefore categorised the TSLP concentrations into the following 4 categories: below detection, low detectable, high detectable and above detection. The internal control sample was chosen as the cut-off between the low and high detectable categories, because it was approximately the median concentration and maximised the inter-assay comparability. For the purpose of mediation analysis TSLP was categorised into a binary variable above and below the internal control.

TGF beta concentrations were measured using a multiplex assay (Bio-Plex Pro TGF-β assay, Bio-Rad Laboratories, Oslo, Norway) following the manufacturer’s instructions which included an actvation step. Prior to analysis, 100 µL of the aqueous portion of breast milk was activated using 20 µL 1 N HCl for 10 min at room temperature, followed by neutralisation using 20 µL 1 N NaOH with 0.5 M HEPES. The standard and two internal control samples were conducted in duplicate. Concentrations were calculated using standard curves and scaled by 1.4 due to dilution in the activation-neutralisation process. The intra-assay CVs were <13.6, <13.4 and <14.6 % and the inter-assay CV were <9.9, <5.9 and <14.3 % for TGF-β1, TGF-β2 and TGF-β3, respectively.

Statistical analysis

As described, TSLP concentrations were categorised into a four groups, and the effect of probiotics was assessed using ordinal logistic regression. The distributions of TGF-βs were right-skewed and concentrations are reported as medians and interquartile ranges. Wilcoxon matched-pairs signed-rank test was used to compare the concentration at 10 days and 3 months for the 243 women with TGF-β isoforms measured at both time points. The effect of probiotic supplementation on TGF-β concentrations was assessed using linear regression on log-transformed concentrations. Maternal atopy, maternal smoking during the first year of life and the presence of older siblings were considered to be potential moderators of the effect of probiotics on cytokine concentrations. The effect of probiotics on the breast milk cytokines were therefore also assessed in alternate regression models which included these covariates.

Causal mediation analysis was performed using the user written command, paramed, for breast milk cytokines which were found to be altered by probiotic supplementation. This analysis estimated the natural indirect effect (NIE) and natural direct effect (NDE) of maternal probiotic supplementation on the development of AD in offspring, mediated through breast milk cytokine concentrations, using counterfactual definitions of these effects and a log-binomial regression model for AD, given AD is not rare [2123]. In this study, the NIE represents the effect of the probiotic regime on the development of AD which can be attributed to its effect on the breast milk cytokine. The NDE represents an estimation of what the relative risk (RR) of developing AD after maternal probiotic supplementation would have been, had there been no effect on the concentration of the breast milk cytokine. The paramed command does not currently support models with ordinal mediator variables and TSLP concentrations were therefore dichotomised for mediation analysis. Whilst the randomised design ensures that the effect of probiotics on breast milk cytokines and on AD can be estimated without confounding, the relationship between cytokine concentration in breast milk and the development of AD is not randomised. As such, the estimation of NIE and NDE may be confounded by factors which influence both breast milk cytokine concentrations and the risk of developing AD in offspring. The previously mentioned covariates were therefore included in the mediation analysis as potential confounders of the relationship between breast milk composition and AD. All statistical analyses were performed using Stata IC release 13 (StataCorp, College Station, Texas).

Results

Participants

Two hundred and fifty-nine mother-infant pairs were included in this analysis, 129 from the probiotic group and 130 from the placebo group (Fig. 1). This subgroup of participants is representative of the original study population with respect to distribution of baseline characteristics and allergy related disease outcomes [3]. Compliance was high and equivalent in both groups. At baseline, the probiotic group contained more male children and at 2 years of age there were fewer cases of AD (Table 1). In terms of maternal characteristics which have been previously suggested to influence breast milk cytokine concentration, fewer women in the probiotic group had a personal history of atopy (Table 1). There were also fewer women smoking at 6 weeks postpartum in the probiotic group, although the overall prevalence of smoking was very low (8 of 259, 3.2 %).
Fig. 1

Flow diagram of participants in the ProPACT study and cytokine analysis of breast milk samples. aThe provided values represent the number of eligible women who had provided at least one breast milk sample. The precise number of samples analysed for each cytokine at each time point varies and is provided in association with the relevant results. bComplete covariates additionally required information on maternal atopy, maternal smoking and the presence of older siblings

Table 1

Baseline characteristics of participating families and allergy related disease in the children at 2 years

Characteristics

Probiotic

Placebo

n

 

n

 

Age, mother, yrs mean (SD)

129

30.5 (3.9)

130

30.3 (4.1)

Sex (male), child, n (%)

129

67 (51.9)

130

53 (40.8)

Siblings, n (%)

129

60 (46.5)

130

54 (41.5)

Atopy in family, n (%)

129

91 (70.5)

130

96 (73.9)

Maternal atopy, n (%)

129

58 (45.0)

129

68 (52.7)

Maternal smokinga, n (%)

129

9 (7.0)

130

11 (8.5)

Compliantb, n(%)

125

113 (90.4)

128

115 (89.8)

Allergy related disease at 2 years

n

n (%)

n

n (%)

p-valuec

Atopic dermatitis, n (%)

129

29 (22.5)

130

45 (34.6)

0.031

Asthma, n (%)

129

7 (5.4)

130

12 (9.2)

0.240

Allergic rhinoconjunctivits, n (%)

125

1 (0.8)

129

0 (0.0)

0.492

Sensitisationd, n (%)

122

19 (15.6)

124

15 (12.1)

0.429

aMaternal smoking reported during pregnancy, 6 weeks or 12 months postpartum; b Compliance with the study protocol was defined by consumption of the study milk on at least 50 % of days from 36 weeks gestation to 12 postpartum, no consumption of other products with probiotics and at least partial breastfeeding until 3 months postpartum; c p-value calculated using χ2-test, except for allergic rhinoconjunctivits where a Fisher’s exact p value is reported; d Allergic sensitisation defined as positive skin prick test (wheal ≥ 3 mm) and or positive sIgE (≥ 0.35 kUL−1)

Thymic stromal lymphopoietin

A greater proportion of breast milk samples taken 10 days postpartum had high concentrations of TLSP compared with the samples taken at 3 months (Fig. 2). The concentration of TSLP was below the lower limit of detection (31.3 pg/mL) in 18.9 % and 26.7 % of samples collected at 10 day and 3 months postpartum, respectively, and above the limit of detection (2000 pg/mL) in 25.6 % and 17.3 %, respectively. Ordered logistic regression revealed a borderline non-significant effect of probiotics on TLSP concentration (OR 1.55 95 % CI 0.98–2.45, p = 0.062) at 10 days postpartum which was not sustained at 3 months postpartum (OR 1.35 95 % CI 0.84–2.16, p = 0.219). This effect was not significantly altered when adjusting individually or in combination for maternal atopy, maternal smoking or older siblings. The effect of probiotics on breast milk TSLP concentration at 10 days postpartum was marginally enhanced when considering only women compliant with the study protocol (n = 209, OR 1.74, 95 % CI 1.06–2.84, p = 0.028). We did not find evidence of an association between maternal atopy, maternal smoking or the presence of older siblings and TSLP in univariate analysis.
Fig. 2

Breast milk TSLP concentrations at 10 days and 3 months in the probiotic and placebo groups. Proportion of breast milk samples with categorised TSLP concentrations at 10 days and 3 months postpartum in the placebo and probiotic group. Percentages are provided within the bars. Overall, higher concentrations of TSLP were measured significantly more often in samples collected at 10 days postpartum (p < 0.001 from ordinal logistic regression clustered by individual). Also on subgroup analysis, TSLP concentrations were significantly higher at 10 days in both the probiotic group (p < 0.001) and placebo group (p = 0.005)

Transforming growth factor β

All three TGF-β isoforms were detectable in all breast milk samples, with the exception of one sample collected at 3 months postpartum which had undetectable TGF-β3. Similar to TSLP, the concentrations of TGF-β1, TGF-β2 and TGF-β3 were higher at 10 days postpartum compared with 3 months postpartum (Fig. 3). Probiotic supplementation had no observed effect on the concentration of any of the TGF-β subtypes at either time point (Table 2). This lack of effect was not substantially altered when adjusting for potential moderators or when considering the subgroup of women compliant with the study protocol (n = 219–224).
Fig. 3

Concentrations of TGF-β1, 2 and 3 at 10 days and 3 months. All three isoforms of TGF-β are found at statistically significantly lower levels at 3 months postpartum compared to 10 days postpartum (p < 0.001 for all isoforms using Mann–Whitney U-test)

Table 2

Breast milk TGF-β concentrations in the probiotic and placebo groups at 10 days and 3 months postpartum

 

Days

Treatment

pa

Probiotic

Placebo

n

Median (IQR) (pg/mL)

n

Median (IQR) (pg/mL)

TGF-β1

10

128

616.9 (407.5–950.4)

127

617.3 (369.7–853.9)

0.34

0.33

 

90

123

438.5 (308.0–661.1)

124

417.4 (269.3–641.8)

0.27

0.23

TGF-β2

10

128

909.8 (451.6–1653.8)

127

999.4 (519.0–1517.1)

0.90

0.83

 

90

123

599.6 (311.0–1055.1)

124

532.5 (285.9–1144.2)

0.76

0.69

TGF-β3

10

128

37.8 (25.3–58.7)

127

35.8 (22.9–57.2)

0.25

0.33

 

90

123

29.9 (21.0–42.7)

123

30.8 (18.8–48.7)

0.95

0.86

aThe upper p-value provided is from the regression analysis of the influence of probiotic ingestion on the log transformed TGF beta concentration by, whilst the lower represents the p-value calculated for the effect of treatment allocation after adjusting for maternal atopy, maternal smoking and presence of siblings

Breast milk cytokines as potential mediators of preventative effect on atopic dermatitis

For the purposes of mediation analysis, TSLP concentrations at 10 days were dichotomised. Consistent with the ordinal logistic regression analysis, standard logistic regression on the dichotomised TSLP values also suggested that perinatal probiotic supplementation increased the odds of a high TSLP concentration at 10 days (OR 1.72, 95 % CI 1.03–2.87, p = 0.039). However, mediation analysis suggested that the effect of probiotics on TSLP did not result in a significant reduction, or increase, in the risk of developing AD [RRNIE 1.04 (95 % CI 0.94–1.15, p = 0.45)], Fig. 4). Breast milk TSLP concentrations at 3 months postpartum and the TGF-β cytokines at both 10 days and 3 months postpartum were not demonstrably affected by probiotic supplementation, indicating that changes in these breast milk cytokines are unlikely to be responsible for the reduced risk of developing AD observed after maternal probiotic supplementation. As such, no estimation of NIE and NDE was conducted for these. Furthermore, none of the cytokines, including TSLP at 10 days, were found to be significantly associated with the development of AD when assessed independently of treatment allocation.
Fig. 4

Hypothetical mediation analysis and estimated natural indirect effect (NIE) and natural direct effect (NDE) of maternal probiotic supplementation. The NIE is an estimate of the effect of maternal probiotic ingestion on the development of AD in offspring mediated by increased TSLP levels in breast milk 10 days postpartum. The NDE is an estimate of the effect of maternal probiotic ingestion on the development of AD not mediated through changes in breast milk TSLP concentration 10 days postpartum. This analysis suggests that TSLP does not significantly contribute to, or oppose, the preventative effect of maternal perinatal probiotic supplementation on the development of atopic dermatitis

Discussion

Thymic stromal lymphopoietin was the only cytokine with a tendency to be affected by maternal probiotic supplementation, resulting in higher concentrations of TSLP at 10 days postpartum. Causal mediation analysis indicated that the higher concentrations of TSLP at 10 days did not appear to contribute to the beneficial effect of probiotics on the development of AD in offspring. TSLP concentrations at 3 months postpartum and TGF-βs at both time points were not affected by probiotic supplementation. As such, these breast milk cytokines are unlikely to be mediators of the beneficial effect of probiotics.

This study provides the first report of the influence of a maternal probiotic supplementation on breast milk TLSP concentrations and investigates its contribution to the prevention of AD. In experimental and observational studies, TSLP has been associated with promotion of a Th2 and allergic type inflammation, particularly in the lung and skin [6, 24]. Therefore, the finding that probiotic supplementation increased the breast milk TSLP concentrations was contrary to what one might have expected. At the same time, high breast milk TSLP may not be as detrimental in the intestinal system where it is described as having a more regulatory function [24, 25]. TSLP released by intestinal epithelial cells in response to commensal bacteria has been shown to promote tolerogenic properties in dendritic cells and macrophages which then produce IL-10 and retinoic acid and promote regulatory T helper (Treg) cell differentiation [25]. Thus the increased TSLP seen in the probiotic group may encourage intestinal immune homeostasis, which in turn is theoretically beneficial for the development of the neonatal immune system and prevention of AD. However, the current data does not suggest that breast milk TSLP contributes to the preventative effect of probiotics on AD, nor does it appear to be associated with the development of AD. It is unclear if the observed lack of mediating effect is due to a loss of information and power due to dichotomisation of TSLP concentration, TLSP degradation prior to reaching the intestines, or a more complex interplay between TSLP, the intestinal microbiota and the immune system. Further studies are required to confirm these findings.

The major strength of this study is that the randomised placebo controlled, double blind design of the ProPACT trial allows an unconfounded assessment of the effect of the probiotic regime on the selected breast milk cytokines. Furthermore, through causal mediation analysis techniques, we are able to estimate if and to what extent the prevention of AD is due to changes in TSLP. The randomised design also means that two of four assumptions required for this mediation analysis [21] are automatically satisfied, namely that there is no residual confounding of the effect of probiotics supplementation on either AD or breast milk TSLP. The other two required assumptions are that there is no unmeasured confounding of the relationship between breast milk TSLP and AD and that there is no confounder of the mediator-outcome relationship that is affected by treatment allocation. Whilst these cannot be excluded, we believe we have measured and included all variables which are likely to affect both breast milk cytokines and AD and that probiotics do not have a strong effect on any other confounders of the relationship between these variables. Another strength of this study is that it is the largest to investigate TSLP concentrations in breast milk and the only one to consider infant outcomes and maternal atopy status. The only other study to report breast milk TSLP concentrations involved 44 women who submitted samples at one of two time points [11]. Whilst they also found that mature milk tended to have lower TSLP concentrations, they reported concentrations which all fell within a relatively narrow range. Our results suggest that there may be a much greater variability between individuals than this small study managed to detect.

One of the limitations of this study is that the breast milk samples were stored between 6 and 8 years before analysis. This has potentially affected the measured concentrations of TSLP and TGF-βs, as has been previously reported for TGF-β1 [26]. However, there was no difference in the average length of storage between the treatment groups and adjusting for length of storage did not significantly alter the estimated effect of probiotic supplementation on any of the measured cytokines (data not shown). Another limitation is that the time of sample collection was not standardised with respect to time of day and whether fore- or hindmilk was collected. Although diurnal and fore-/hindmilk variation has not been specifically investigated for TSLP and TGF-βs, previous studies suggest that diurnal variation exists in some breast milk cytokines [27] and that the quantity of total protein in the aqueous portion of fore- and hindmilk is reasonably constant [28]. Whilst these factors may have influenced the cytokine concentrations, samples from the probiotic and placebo groups are presumably equally affected and we do not believe they have significantly affected the conclusions of this study. An underlying uncertainty surrounding the measure of breast milk cytokines is another limitation to this study. Previous studies of breast milk TGF-β and other cytokines have produced widely varying concentration measurements. Whilst some of this variability may be explained by factors such as diurnal and fore-/hindmilk variations, ethnicity, maternal atopy status and time point postpartum, it is likely that sample storage, preparation, analysis methods and inter-laboratory differences play a major role in the measured concentrations. As such, it is difficult to compare results between studies, particularly when these variables are inconsistently reported. In studies comparing two exposure groups, be that probiotic versus placebo or maternal atopy versus no atopy, it is reasonable to assume that technical variability between the groups are minimised. Thus, comparing groups within each study is valid and more generally the relative relationship between these groups can be roughly compared across studies.

Five previous studies have reported breast milk TGF-β1 and or TGF-β2 concentrations from similar randomised trials of probiotic supplementation. Each of these studies found a statistically significant effect of probiotics on at least one TGF-β isoform in colostrum samples and no effect on concentrations in mature milk. However, they provide conflicting evidence as to whether probiotics increase [14, 15] or decrease [1618] colostrum TGF-β concentrations. The current study also found no effect of probiotic supplementation on TGF-β concentrations in mature milk, and provides no evidence to suggest either increased or decreased concentrations in breast milk at 10 days postpartum, a time when the milk is sometimes referred as transition milk before colostrum become mature milk. In addition to the previously mentioned sources of variability, the differing results may also reflect a probiotic strain specific effect as none of these studies used the same probiotic species in the same dose or combinations. In terms of methodological differences, it is interesting to note that the two studies reporting reduced TGF-β2 after probiotic supplementation also reported the manufacturer recommended acid activation of the breast milk samples prior to measurement which means that the reported concentrations represent the entire pool of TGF-β which is naturally found in both a latent and active form. On the other hand, all three studies reporting higher TGF-β1 or TGF-β2 do not mention this activation step in their methods. One of these studies, however, used an alternate activation procedure which is thought to additionally release lipid bound TGF-β [17, 29]. All other studies have removed the lipid fraction prior to cytokine analysis. If the conflicting reports of positive or negative associations with probiotics are a reflection of a common effect of probiotics and sample preparation method, rather than strain specific effects, it may imply that probiotics affect the ratio between active and latent TGF-β in breast milk or the proportion of lipid bound TGF-β. Other factors are known to affect the proportion of active versus latent TGF-β, for example, mothers of premature infants having a higher proportion of latent TGF-β [30].

Conclusions

Whilst maternal probiotic supplementation appears to result in higher breast milk concentrations of TLSP at 10 days postpartum, this does not seem contribute to the preventative effect of the probiotic regime on the development of AD. Probiotics did not significantly alter the breast milk concentration of any TGF-β isoforms at 10 days or 3 months postpartum. Further studies are required to both confirm these findings and investigate the other potential mechanism behind the prevention of AD in infancy by perinatal probiotic supplementation.

Abbreviations

AD: 

atopic dermatitis

Bb12: 

Bifidobacterium animalis subsp. lactis Bb-12

ELISA: 

enzyme-linked immunospot assay

LGG: 

Lactobacillus rhamnosus GG

NDE: 

natural direct effect

NIE: 

natural indirect effect

OR: 

odds ratio

ProPACT: 

Probiotics in the Prevention of Allergy among Children in Trondheim

RR: 

risk ratio

TGF-β: 

transforming growth factor beta

Th2 cells: 

type 2 T helper cells

TSLP: 

thymic stromal lymphopoietin

Declarations

Authors’ contributions

TØ, OS and RJ designed and directed the implementation of the ProPACT trial during which these breast milk samples were collected. TØ and ØG conceived and designed the breast milk analysis experiments. MS and ADBR analysed the data and wrote the initial manuscript draft. All authors have contributed to and approved the final draft of the manuscript.

Acknowledgements

We thank the families for their participation in this study along with the midwives of the Trondheim region for their help in recruitment and distribution of questionnaires and paediatrician Dr. Rakel Berg who examined the children at 2 years. We also thank the project assistants, Guri Helmersen, Else Bartnes and Liv Ryan, who assisted with the logistics of the ProPACT trial and performed the laboratory analysis of the breast milk samples.

Competing interests

The authors declare they have no competing interests.

Availability of data and materials

The datasets supporting the conclusions of this article will be made available to all interested researchers upon request.

Ethics approval and consent to participate

The ProPACT trial and the collection of breast milk samples for cytokine analysis was approved by the Regional Committee for Medical Research Ethics for Central Norway (Ref. 097-03) and written consent was obtained from the participating families.

Funding

This study was funded by the Norwegian University of Science and Technology and the Norwegian Research Council. Tine BA sponsored the study through the supply of study milk and logistics of its distribution. MRS, OS and TØ have attended research seminars sponsored by Tine BA. Siemens Medical Solutions Diagnostics AS provided reagents for the analysis of serum IgE. Employees from the funding sources played no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Department of Public Health and General Practice, Norwegian University of Science and Technology
(2)
Department of Immunology and Transfusion Medicine, St Olavs Hospital, Trondheim University Hospital
(3)
Department of Dermatology, University Hospital of North Norway
(4)
Det medisinske fakultet, Instiutt for samfunnsmedisin, MTFS, NTNU

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