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Effects of multistrain Bifidobacteria and Lactobacillus probiotics on HMO compositions after supplementation to pregnant women at threatening preterm delivery: design of the randomized clinical PROMO trial

Abstract

Background

As an indigestible component of human breast milk, Human Milk Oligosaccharides (HMOs) play an important role as a substrate for the establishing microbiome of the newborn. They have further been shown to have beneficial effects on the immune system, lung and brain development. For preterm infants HMO composition of human breast milk may be of particular relevance since the establishment of a healthy microbiome is challenged by multiple disruptive factors associated with preterm birth, such as cesarean section, hospital environment and perinatal antibiotic exposure. In a previous study it has been proposed that maternal probiotic supplementation during late stages of pregnancy may change the HMO composition in human milk. However, there is currently no study on pregnancies which are threatened to preterm birth. Furthermore, HMO composition has not been investigated in association with clinically relevant outcomes of vulnerable infants including inflammation-mediated diseases such as sepsis, necrotizing enterocolitis (NEC) or chronic lung disease.

Main body

A randomized controlled intervention study (PROMO = probiotics for human milk oligosaccharides) has been designed to analyze changes in HMO composition of human breast milk after supplementation of probiotics (Lactobacillus acidophilus, Bifidobacterium lactis and Bifidobacterium infantis) in pregnancies at risk for preterm birth. The primary endpoint is HMO composition of 3-fucosyllactose and 3’-sialyllactose in expressed breast milk. We estimate that probiotic intervention will increase these two HMO levels by 50% according to the standardized mean difference between treatment and control groups. As secondary outcomes we will measure preterm infants’ clinical outcomes (preterm birth, sepsis, weight gain growth, gastrointestinal complications) and effects on microbiome composition in the rectovaginal tract of mothers at delivery and in the gut of term and preterm infants by sequencing at high genomic resolution. Therefore, we will longitudinally collect bio samples in the first 4 weeks after birth as well as in follow-up investigations at 3 months, one year, and five years of age.

Conclusions

We estimate that probiotic intervention will increase these two HMO levels by 50% according to the standardized mean difference between treatment and control groups. The PROMO study will gain insight into the microbiome-HMO interaction at the fetomaternal interface and its consequences for duration of pregnancy and outcome of infants.

Background and literature research

Human Milk Oligosaccharides (HMOs) are the third largest component of human milk [2, 3]. Reported concentrations range from 5-15 g/l in mature milk up to 20 g/l in colostrum [2, 4]. More than 200 different HMOs have been identified although < 20 of them account for > 90% of total content [5]. HMO concentrations differ depending on maternal factors (age, parity, diet, ethnicity) [6], lactation period, length of gestation and mother’s genetic secretor status [4]. Glycosyltransferases synthesize five monosaccharides (ß-D-galactose(Gal), ß-D-glucose(Glc), ß-N-acetylglucosamine(GlcNAc), α-L-Fucose(Fuc) and α-D-N-acetylneuraminic acid (Sia)) into the different HMOs [2, 5] in the Golgi apparatus of the mammary gland cells. The concentrations of HMOs in human milk vary greatly depending on the maternal expression of the secretor gene (FUT2) and the Lewis gene (FUT3) [7, 8]. Dominant (Se) and recessive (se) alleles are differentiated and mothers can be divided in ”secretors” and “non-secretors” with and without at least one dominant allele [9,10,11]. Hence, the total amount of HMOs in ”non-secretors” women’s milk is significantly lower compared to that of ”secretors” [12].

HMOs exert their prebiotic effect on the microbiome in the colon [13], where they are consumed by certain groups of the microbiota such as Bifidobacteria, strengthen their abundance, improve the mucosal barrier and unfold immunomodulatory effects [14, 15]. They may operate as antimicrobials and prevent adhesion of pathogens by entrapping specific receptors [5]. Potential positive effects on neurocognitive development have been described, however the exact mechanisms are yet unknown [14, 16]. While HMOs form the nutritional basis for specific strains of Bifidobacteria [13, 17,18,19], most pathogenic Enterobacteriaceae are unable to utilize HMOs [20]. By favoring Bifidobacterium. infantis in the gastrointestinal microbial community, HMOs support immunological maturation, limit excessive inflammation and intestinal permeability. In terms of clinical outcomes, the provision of breast milk with HMOs has been associated with a decreased risk for infections, improved growth and neurodevelopmental outcomes [21, 22]. Beneficial modulatory effects on the microbiome – immunity coevolution during the first months of life [15] may explain associated risk reductions for atopic diseases and asthma [23]. In preterm infants, HMOs may prevent gut dysbiosis [24, 25] and high concentrations of specific oligosaccharides (disialyllacto-N-tetraose) are associated with a lower risk for necrotizing enterocolitis (NEC) [26, 27]. However, research on clinical outcomes in this study population is very limited even though preterm infants are particularly vulnerable to microbiome disturbances, sustained inflammation [28] and associated adverse outcomes [29].

Recently, first approaches to optimize the composition of HMOs in human milk have been undertaken. In a study with infants at term, Seppo et al. [1] demonstrated changes in HMO composition in breast milk after supplementation of probiotics during pregnancy, e.g. increased levels of 3-fucosyllactose.

Here, we report on the methodology of a first randomized controlled intervention study with the PICO question, whether in the Population of pregnant women > 20 + 0 weeks of gestation at risk for preterm birth between 22 + 0 and 36 + 6 weeks of gestation the Intervention of daily intake of Lactobacillus acidophilus, Bifidobacterium animals subsp. lactis and Bifidobacterium. infantis as compared to Control (no probiotic intake) changes the Outcome HMO concentration and composition in human breast milk. Specifically, we hypothesize 50% increased amounts of 3-fucosyllactose and 3’-sialyllactose after supplementation [1]. Further hypotheses are that the supplementation of Lactobacillus acidophilus and Bifidobacterium animalis subsp. lactis and Bifidobacterium. infantis probiotics during pregnancy increases.

  1. 1.

    The number of several prebiotic HMOs (e.g. 3-fucosyllactose and 3’-sialyllactose) in breast milk.

  2. 2.

    The abundance of Lactobacillus and Bifidobacteria in women’s vaginal flora.

  3. 3.

    The abundance of Lactobacillus and Bifidobacteria in the neonatal microbiome of preterm infants.

Probiotics have been supplemented in several studies to pregnant women defining various hypotheses and outcomes. In preparation of our trial, we performed an extensive review of the scientific literature including (a) randomized placebo-controlled trials that have been (b) recently published (between 2010 and 2022), that (c) supplemented groups of Bifidobacteria spp. and/or Lactobacillus spp. to (d) pregnant women with an (e) minimum sample size of n = 30 women supplemented. We searched PubMed using the terms “probiotics” AND/OR “pregnancy” OR “probiotic supplementation” AND (“Bifidobacteria” AND/OR “Lactobacillus”) or “probiotics“ AND “preterm risk” OR “maternal supplementation” AND “bacterial diversity” OR “probiotics” AND “pregnancy” AND ”allergies” OR “probiotics” AND “pregnancy” AND “group B Streptococcus” OR “probiotics” AND “pregnancy” AND (“ bacteria AND/OR “bacterial diversity”) OR “probiotics” AND “pregnancy” AND “ obesity” .

142 publications were reviewed, 15 clinical trials were finally included considering above mentioned criteria (a-e).

In Table 1. we present the results of our literature research stratified to study population, probiotic strain used, intervention period, outcomes measured and study results. The studies report on several maternal outcomes including gestational diabetes (GDM), inflammatory markers and characteristics of the vaginal, gut or breast milk microbiome. Halkjaer et al. [30] supplemented 50 obese pregnant women with Bifidobacteria spp. and Lactobacillus spp. No significant changes in frequency of GDM (gestational diabetes mellitus), maternal HbA1C or infant birth weight were found. However, the gastrointestinal microbiome of supplemented pregnant women was characterized by an increased α- diversity when compared to untreated controls. Unlike these results, Luoto et al. [31] reported a reduced risk of GDM (OR = 0.27 (95% CI 0.11, 0.62); P = 0.002) after probiotic supplementation (Bifidobacteria spp. and Lactobacillus spp.) of 256 women throughout all trimesters of pregnancy. Study results of probiotic effects on inflammatory markers during pregnancy and perinatal period are inconclusive. Vitali et al. [32] reported on significant decreases of serum anti-inflammatory cytokines such as IL-10 (interleukin) and IL-4 in 30 women. In mothers-to-be with GDM, decreased levels of C-reactive protein were found after supplementation of Bifidobacteria spp. and Lactobacillus spp. [33] However, Dewanto et al. [34] could not reveal changes of IL-8 in breast milk, nor in fecal α-1-antitrypsin or calprotectin levels in neonatal stool.

Several studies examined probiotic effects in microbiome characteristics of different niches (rectovaginal, gastrointestinal, breast milk) with heterogenous results. Abundances of Bifidobacteria spp. and Lactobacillus spp. were significantly increased in colostrum and mature milk [35], but changes in diversity of maternal vaginal microbiome’s composition have not been observed [36]. Further studies showed that the abundances of group B Streptococcus and several Candida spp. in the vaginal microbiome were diminished after probiotic supplementation of pregnant women [37, 38]. To our best knowledge, there is only one study that reports on HMO composition in breast milk after probiotic supplementation during pregnancy [1]. Various HMOs showed a significant increase in human milk following the intervention, which was most pronounced for 3-fucosyllactose (p = 0.008) and 3’-sialyllactose (p = 0.006). The authors hypothesized a shift from 6’ sialylation to 3’ sialylation. These changes might be associated with increased abundance in mammary gland after probiotic supplementation through the entero-mammary-pathway (see Fig. 1). Furthermore, various studies aimed at clinical outcomes of infants whose mother’s received probiotics during pregnancy and report on microbiome alternations. However, no significant changes were seen in children’s microbiome composition and in α- and β-diversity [39]. Notably, a decreased risk for developing atopic dermatitis in the first 18 months [40] and reduced rates of positive skin prick test results were found after probiotic supplementation during pregnancy [41].

Table 1 Results of literature research

Figure 1. Schematic illustration of the entero – mammary – (neonatal) gut – pathway which is hypothesized to be stimulated by the supplementation of probiotics during pregnancy. After maternal probiotic intake an increased abundance of Bifidobacteria spp. and Lactobacillus spp. may trigger the gut – breast axis in which probiotic bacteria, antibodies, IgA and cytokines are translocated from the gut to the mammary glands secretory cells via dendritic cells (DC) through lymph / blood circulation [42]. DCs sample commensal bacteria and immune factors by penetrating the gut mucosa via self-expressed tight junctions. An increased abundance of probiotic strains in the mammary gland cells may trigger the synthesis of HMOs as a nutritional source for Bifidobacteria spp., whereas the distinct mechanisms are yet unknown. Consequences for the neonatal gut microbiome include an increased abundance of probiotic bacteria which exert anti-inflammatory and infection-preventive effects by strengthening the mucosal barrier and elimination of pathogens. An improved supply of breast milk with prebiotic HMOs further supports a Bifidobacteria – dominated gut microbiome [43]. Beneficial effects for the neonatal “gut-immune-axis” include inhibitory effects on Campylobacter spp.) to the intestinal mucosa. Ancillary HMO related (2’- and 3’-Fucosyllactose) stimulation of TH1- lymphocytes and induction of anti-inflammatory cytokines such as IL-10 or FGF-ß distributed by regulatory T-lymphocytes is expected, alongside with increased expression of dendritic cells and maturation of naïve CD4+ T-lymphocytes to regulatory T-lymphocytes enhanced by certain Bifidobacteria spp. [44]. Short chain fatty acids (SCFA) modulate the immune tolerance by decreasing the awareness of macrophages to commensal [45, 46]. The neonatal “gut-brain-axis” is influenced by neurotransmitters such as GABA produced by Bifidobacteria spp. and Lactobacillus spp. [47]. GABA is translocated from gut to brain via blood circulation and regulates the production of the neurotransmitters like serotonin, acetylcholine and dopamine. Dysfunctions in the GABAergic system may contribute to stress associated disorders or encourage memory and cognitive impairment. [47]. Sialylated HMOs (e.g. 3’- Sialyllactose) may enhance learning, memory and language function [48], while high concentrations of 2’-Fucosyllactose in breast fed infants were found to be associated with improved motoric skills at the age of 24 months [49, 50].

Fig. 1
figure 1

Effects in mother and preterm infant after probiotic supplementation.

Legend FGF-ß Fibroblast growth factor beta, GABA Gamma-aminobutyric acid, GAD Gamma decarboxylase, GLU Glutamate, HMO Human milk oligosaccharide, IL Interleukin, SCFA Short chain fatty acids, TH-1 T-helper lymphocyte, Treg T regulatory lymphocyte

Study design and methodology

Screening and study participants

From January 2024 to January 2026 all women presenting with risk for preterm birth (e.g. cervical shortening, PPROM, vaginal bleeding, preeclampsia, HELLP syndrome) are informed about the study and asked to participate after giving their written informed consent. The women will be given probiotics from the day that they are identified with a risk of imminent preterm birth and decide to participate in this study until the delivery of the infant. We will include approximately 130 women from 20 + 0 to 36 + 6 weeks of pregnancy. The study population will be randomly divided into two groups consisting of (1) women taking probiotics during pregnancy and (2) women without probiotic supplementation. This study is registered at the German Registry for clinical studies (DRKS), DRKS00033539.

In- and exclusion criteria

Pregnant women of any ethnic background between 20 + 0 and 36 + 6 weeks of pregnancy who are at risk for preterm birth are included. The underlying condition (e.g. PPROM, cervical shortening, bleeding, preeclampsia, HELLP syndrome) is not decisive to inclusion. Participating patients will be included after they have been informed about the study procedures, intervention, associated responsibilities and when they have given written informed consent. Women with outpatient monitoring are also applicable for participation. Since the date of birth cannot be predicted, the study concept inevitably includes full-term children – mother pairs to be included. Pregnant women under the age of 18 years and women, who do not plan to deliver their infant at our site will be excluded primarily, because in these cases collecting the samples postpartum is not feasible. Women who decline to feed their infant with breast milk or without written consent will also be excluded.

Probiotic formula

The probiotic formulation is Bactiol® Infantis consisting of Bifidobacterium longum subsp. Infantis, B. animalis subsp. Lactis (BB-12) and Lactobacillus acidophilus (La-5). These strains have been commonly used in former studies supplementing preterm infants [51,52,53]. The women are provided a single dose capsule once daily. Each dose contains 4.5 × 109 colony forming units of the bacteria mixture. We chose this particular formula because it has been previously used in clinical trials. The multistrain probiotics raised no safety concerns in large observational studies in preterm infants and the PRIMAL trial [52] and is approved for use in pregnancy. Several strains of lactobacilli are also able to utilize HMOs, but with less capacity compared to Bifidobacteria [60]. Lactobacillus acidophilus has the ability to hydrolyze HMOs and studies report moderate growth of Lactobacillus acidophilus (LA-5) on lacto-N-neotetraose and on lactose [61, 62].

Intervention/Control

Study participants are randomly assigned to receive the probiotic mixture (intervention group n = 73) or not (control group n = 73). The intervention is one capsule of Bactiol® Infantis per day until delivery. The proposed number of participants is calculated based on former studies (see below). A randomization sequence was created in advance to assign mother – infant pairs to a study arm. This trial is not blinded. The women and participating doctors know whether they are in the intervention or control group, and we are not using a placebo.

Stopping rules

Any participating women may be retired from the study at any time at her own request, unbiased by reason and without facing any disadvantages of clinical support. Women who are withdrawn from the study, are not allowed to re-enter the study. The responsible doctor has the right to exclude women from the study, who deliver at another hospital and women with discontinuous intake of the probiotics in more than 30% of days until delivery. To ensure that the data is recorded according to the intention-to-treat principle, all patients should be followed up and documented after retirement from the study.

Primary endpoint, secondary endpoints/data collection

The primary endpoint is the HMO composition (3-fucosyllactose, 3’-sialyllactose) in human breast milk after supplementation prenatally. Secondary endpoints are clinical and safety outcomes of mothers (infections, alterations in vaginal microbiome) and infants (preterm birth, sepsis, growth, gastrointestinal complications) and the effects on the microbiome composition in the rectovaginal tract of mothers at delivery and in the gut of term and preterm infants.

Sample collection

After informed consent the participants take one capsule of probiotics once daily until delivery. At the timepoint of inclusion, samples to describe the “baseline microbiome” will be collected in the form of a rectovaginal swab and a stool sample. As soon as labor begins or imminent delivery is likely, a rectovaginal swab and stool sample are taken by a midwife or obstetrician to test hypothesis 2 (increased abundance of Lactobacillus and Bifidobacteria in women’s vaginal flora due to probiotics supplementation in pregnancy). After birth samples of colostrum, breast milk and neonatal stool are gathered on day one, two, three, seven, fourteen and 28, stored and frozen at -80 °C. Depending on gestational age, stage of enteral feeding, and growth, preterm infants are fed exclusively breastmilk, donor milk, formula milk or a mixture. This will be considered in the final analysis. Additional samples (a stool sample of the infant and a breast milk sample from the mother when still breastfeeding) will be collected at the follow-up visit at three-month, 1 year and 5 years of age by study personnel. A standardized questionnaire about former parents’ history, infections, allergies, postpartum course, provided by the families in the first week, completed by case report forms at day 3, day 28 and at three months, one year and five-year follow-up (see Fig. 2).

Data collection

Standardized Case Report Forms (CRFs) are used to record information from the mother prenatally and postnatally from mother and infant. At the time of inclusion (CRF inclusion), closely after birth (CRF day 3), one month after birth (CRF day 28), at three months CRF 3 m (mother + infant), one- and five-year follow- up (CRF 12 and 60 m) (see Fig. 2).

Data collected at the follow-ups will be used to measure long-term outcomes (allergies, incidence of infections, re-admissions to the hospital). The CRFs are filled in manually by the study team (neonatologist, doctoral student and study nurse). Additionally, the women will be asked to keep a diary handed out at inclusion to document regularity of probiotic intake, infections, antibiotic therapy, allergies and possible side effects during the intake of probiotics. The inclusion-CRF collects information of former participant’s medical history e.g. preexistent diseases, the course of pregnancy, former pregnancies and allergies. The follow up CRFs collect data from both, mothers and infants. CRF day 3 includes information about the delivery mode, reason for delivery, infections and risk factors for microbiome dysbiosis. In CRF day 28 information about complications in puerperium, growth parameters and feeding of the infant is collected. This data will be collected via telephone interview. In case of birth before completed 32 weeks follow-up examination will take place onsite. At follow-up information on both, mother and infant will be recorded via CRFs.

Fig. 2
figure 2

Flow chart of used CRFs

HMO-assessment

Analysis of HMOs amount and composition will be performed at the Institute of Chemistry and Metabolomics of the University of Lübeck, Germany, by nuclear magnetic resonance (NMR) spectroscopy). To this end, samples of breast milk will be analyzed according to published protocols [54]. Briefly, proteins and lipids will be removed by ultrafiltration and after buffer addition to the filtrate, NMR spectra will be acquired. NMR spectra will be analyzed and compared with published data [54, 55] to (i) determine the secretor status of the woman and if the woman is Lewis positive or negative and to (ii) investigate if the concentration of HMOs in breast milk change with probiotic supplementation.

Microbiome sequencing

To address hypothesis 3 (increased abundance of several bacteria in neonatal microbiome) 16s rRNA microbiome analyses will be performed at the Clinic for Infectiology and Microbiology at the University of Lübeck, Germany [53, 56]. To amplify partial sequences of 16 S rRNA gene linker and indices-containing primers targeting V3/V4 hypervariable regions of 16 S rRNA [29] will be used. Polymerase chain reaction will be performed starting with 98 °C for 30 s, followed with 30 cycles with 98 °C for 9 s, 55 °C for 60 s and 72 °C for 90 s finishing with 72 °C for ten minutes. Storage of amplicons at -20 °C until further processing is planned. Agarose gel electrophoresis will be used to estimate the amplicons concentrations. GeneRuler 100 bp DNA Ladder (Thermo Fischer Scientific, Waltham, USA) will be used as reference. Sequencing will be performed using MiSeq® platform (Illumina®, San Diego, California, USA) and MiSeq® reagent Kit V3 for 600 cycles. PhiX library will be set as positive control. To ensure absence of reagents contamination negative extraction controls will be integrated, too.

Estimated sample size and power calculations

Based on the publication of Seppo et al. [1] who supplemented probiotics in pregnancies > 36th weeks calculations of sample sizes were performed.

Table 2 Calculation minimal sample size based on data from Seppo et al. 2019 [1]

Table 2. lists HMO measurement means and standard deviations taken from Seppo et al. [1] for six different HMO subgroups. Column titled “n” lists minimal sample size numbers inferred via balanced Mann-Whitney U test. Calculations were performed with the R package ’pwrss’ [Bulus, M. (2023). pwrss: Statistical Power and Sample Size Calculation Tools. R package version 0.3.1.]. The significance threshold (acceptable type I error rate) was set to alpha = 0.05 and predictive power (acceptable Type II error rate) was set to 0.8. Dropout rate was considered to be 10%. Whereas sample size numbers in Seppo et al. [1] are unbalanced between treatment group and control group (50 vs. 31), we assumed balanced conditions in our analysis to minimize the total number of required samples. Based on these calculations we include 73 women taking the probiotics (  verum group) during pregnancy and 73 women without treatment (  control group). We choose the maximal calculated number n (Table 2.) as minimal sample size and add a 25% risk of drop out.

Statistical analysis

Subgroup analysis of previous medical history exposure to antibiotics, infections in pregnancy and indication for delivery will be performed on an exploratory basis. Adjustments for recall rate (diary, survey data) will be performed, we aim for a recall-rate of > 75%.

Statistics will be performed with R version 4.2 or higher. For graphs Graphpad prism version 10.1.2. will be used. Details of the statistical analysis will be fixed in a statistical analysis plan, which will be finalized by the trial statistician before inclusion of the last patient. The duration of probiotic intake will be taken into account in the final analysis. We will adjust our data for the different intervention timeframes using matched pair and multivariate regression analyses. However, the duration of pregnancy-accompanied probiotic therapies that were necessary to achieve the investigated outcome effects in the various studies performed (see Table 1.) have not yet been investigated. Consequently, in the case of observed effects of probiotic therapy on the HMO concentration, we will also determine the necessary duration of supplementation as a result of this study.

Data handling and safety

All data is stored pseudonymized. Data of individual participants cannot be traced back. Personal data of the patients will be saved separately for further contacts of the families. The procedures to save and store the data adhere to German data protection laws.

Data safety monitoring board

An independent data safety monitoring board consisting of an obstetrician and neonatologist, both with broad clinical expertise and experience in scientific trials will assemble on regular basis to review data quality, study procedures, CRFs, safety and results.

Quality insurance and safety

If any unwanted events appear during the intake of probiotic or postpartum the women are obliged to contact us immediately. The study will be conducted, data recorded according to the protocol, the standard operating procedures (SOP) of our both clinics, the Good Clinical Practice (GCP) and the connected regulations and requirements.

Data sharing and dissemination

Authorship of resulting manuscripts will be based on guidelines of the International Committee of Medical Journal Editors. Involved parties will be informed in cases of important modifications. The results of this study will be published in peer-review journals and presented at scientific meetings, which will enable discussions with scientific community.

Conclusion

This is a prospective randomized intervention study supplementing probiotics to women with imminent preterm birth. We propose to support HMO composition in breast milk and consequently to increase the abundance of favorable bacterial groups (primarily Bifidobacteria spp.) in the neonatal microbiome. The aim of this study is to improve clinical neonatal outcomes by optimizing the supply of HMOs in human breast milk in order to create improved conditions for the establishment of a healthy neonatal microbiome. Further, we aim at defining microbiome signatures of the women’s vaginal flora that are associated with probiotic intake and HMO composition. We hope to learn more about the complex coevolution of pregnant women’s gut microbiome, immune modulating components of human breast milk (e.g. lactoferrin, IgA or glycomacropeptide) and immune function of the newborn [57, 58]. The biophysiological mechanisms of this coevolution is described by the concept of an “entero – mammary – (neonatal) gut pathway” which not only seems to determine the supply of commensal bacteria in breast milk at the critical timeframe of neonatal microbiome establishment within the first weeks of life. Immune factors, cytokines, regulatory cells and antibodies are translocated in a similar manner to potentially affect and shape neonatal vulnerability in the “window of opportunity” after delivery. That the entero – mammary – gut pathway can be successfully targeted by probiotic supplementation of pregnant women has been previously demonstrated by a randomized placebo-controlled trial (RCT) that measured elevated concentrations of Bifidobacteria spp. in breast milk of treated women when compared to untreated controls [35]. Notably, various (patho)physiological elements in this context have not yet been studied in detail, including determinants of HMO synthetization in the mammary glands. However, previous studies point towards more complex translocation processes that are stimulated by probiotic supplementation during pregnancy. These processes in passive immunization and antibody translocation as well as HMO supply in expressed breast milk.

Probiotics are widely used in preterm infants as a NEC prophylaxis [51, 52] and were supplemented to pregnant women within clinical trials [1]. To identify the scientific value of this study, we performed a literature review on probiotic supplementation during pregnancy reporting on various maternal and neonatal outcome parameters. Interestingly, RCTs using Lactobacillus acidophilus and Bifidobacterium animals subsp. lactis and B. infantis probiotics not only showed a significant impact on maternal outcomes such as decreased rates of GDM [31] or reduced colonization rates with group B Streptococcus [37], but as well demonstrated significant measurable effects on neonatal characteristics such as microbiome composition, immune phenotype (cytokine secretion) and rates of atopic symptoms [40, 41]. In conclusion, however, study results are largely inconclusive across the studies performed, which might mainly be due to differences of in- and exclusion criteria, dosage of probiotic supplements and most importantly, targeted outcomes. To our best knowledge and as a result of our literature review, only one study has investigated HMO composition of human breast milk after probiotic supplementation of pregnant women. While demonstrating promising results by showing increased levels of several breast milk HMOs after birth, the study was limited to included pregnancies of > 36 weeks and infants born at term. Hence, the effects of probiotic supplementation have so far never been studied in the context of HMO breast milk composition at preterm birth. Our main hypothesis is that supplementation of Lactobacillus acidophilus and Bifidobacterium animals subsp. lactis and Bifidobacterium infantis during pregnancy will increase the abundance of HMOs at the time of preterm delivery. Based on the findings of Seppo et al. [1], we propose changes of the concentration of 3’-fucosyllactose and 3’-sialyllactose in women supplemented with probiotics when compared to non-treated controls. Our second hypothesis of vaginal microbiome signatures that are associated with probiotic intake are based on study results showing a reduction in vaginal dysbiosis and increased amounts of favorable bacteria [35, 39, 59]. As a secondary outcome we will explore signatures of the neonatal microbiome of supplemented mothers as compared with non-supplemented controls. Previous observational studies and RCTs indicate that probiotics are safe and well tolerated in an adequate clinical setting. Results of this study may have implications for the management of pregnancies at risk for preterm delivery. A stable neonatal microbiome and dysbiosis prevention may improve short and long-term outcomes of preterm infants. If this study confirms our hypotheses, placebo-controlled randomized trials will be necessary to verify the results.

Data availability

No datasets were generated or analysed during the current study.

Abbreviations

C:

Candida

CFU:

Colony forming unit

CRF:

Case report form

DNA:

Desoxyribonucleic acid

FGF-ß:

Fibroblast growth factor beta

GABA:

Gamma-aminobutyric acid

GAD:

Gamma decarboxylase

GBS:

Group B streptococcus

GCP:

Good clinical practise

GDM:

Gestational diabetes mellitus

GLU:

Glutamate

GWG:

Gestational weight gain

HbA1C:

Glycolyzed hemoglobin

HMO:

Human milk oligosaccharide

IL:

Interleukin

L:

Lactobacillus

MDA:

Malondialdehyde

NEC:

Necrotizing enterocolitis

RCT:

Randomized controlled trial

rRNA:

Ribosomal ribonucleic acid

SCFA:

Short chain fatty acids

SOP:

Standard operating procedures

SPT:

Skin prick test

TH-1:

T-helper lymphocyte

Treg T:

regulatory lymphocyte

References

  1. Seppo AE, Kukkonen AK, Kuitunen M, Savilahti E, Yonemitsu C, Bode L, Järvinen KM (2019) Association of Maternal Probiotic Supplementation with Human Milk Oligosaccharide Composition. JAMA Pediatr 173:286–288. https://doi.org/10.1001/jamapediatrics.2018.4835

    Article  PubMed  PubMed Central  Google Scholar 

  2. Urashima T, Fukuda K, Messer M (2012) Evolution of milk oligosaccharides and lactose: a hypothesis. Animal 6:369–374. https://doi.org/10.1017/S1751731111001248

    Article  CAS  PubMed  Google Scholar 

  3. Stahl B, Thurl S, Zeng J, Karas M, Hillenkamp F, Steup M, Sawatzki G (1994) Oligosaccharides from human milk as revealed by matrix-assisted laser desorption/ionization mass spectrometry. Anal Biochem 223:218–226. https://doi.org/10.1006/abio.1994.1577

    Article  CAS  PubMed  Google Scholar 

  4. Soyyılmaz B, Mikš MH, Röhrig CH, Matwiejuk M, Meszaros-Matwiejuk A, Vigsnæs LK (2021) The Mean of milk: a review of human milk oligosaccharide concentrations throughout Lactation. Nutrients 13:2737. https://doi.org/10.3390/nu13082737

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Bode L (2012) Human milk oligosaccharides: every baby needs a sugar mama. Glycobiology 22:1147–1162. https://doi.org/10.1093/glycob/cws074

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Azad MB, Robertson B, Atakora F, Becker AB, Subbarao P, Moraes TJ, Mandhane PJ, Turvey SE, Lefebvre DL, Sears MR, Bode L (2018) Human Milk Oligosaccharide Concentrations Are Associated with multiple fixed and modifiable maternal characteristics, Environmental Factors, and feeding practices. J Nutr 148:1733–1742. https://doi.org/10.1093/jn/nxy175

    Article  PubMed  Google Scholar 

  7. Cabrera-Rubio R, Kunz C, Rudloff S, García-Mantrana I, Crehuá-Gaudiza E, Martínez-Costa C, Collado MC (2019) Association of maternal secretor status and human milk oligosaccharides with milk microbiota: an Observational Pilot Study. J Pediatr Gastroenterol Nutr 68:256–263. https://doi.org/10.1097/MPG.0000000000002216

    Article  CAS  PubMed  Google Scholar 

  8. Gabrielli O, Zampini L, Galeazzi T, Padella L, Santoro L, Peila C, Giuliani F, Bertino E, Fabris C, Coppa GV (2011) Preterm milk oligosaccharides during the first month of lactation. Pediatrics 128:e1520–1531. https://doi.org/10.1542/peds.2011-1206

    Article  PubMed  Google Scholar 

  9. Kunz C, Rudloff S, Baier W, Klein N, Strobel S (2000) Oligosaccharides in human milk: structural, functional, and metabolic aspects. Annu Rev Nutr 20:699–722. https://doi.org/10.1146/annurev.nutr.20.1.699

    Article  CAS  PubMed  Google Scholar 

  10. Blank D, Dotz V, Geyer R, Kunz C (2012) Human milk oligosaccharides and Lewis blood group: individual high-throughput sample profiling to enhance conclusions from functional studies. Adv Nutr 3:440S–9S. https://doi.org/10.3945/an.111.001446

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Sprenger N, Lee LY, De Castro CA, Steenhout P, Thakkar SK (2017) Longitudinal change of selected human milk oligosaccharides and association to infants’ growth, an observatory, single center, longitudinal cohort study. PLoS ONE 12:e0171814. https://doi.org/10.1371/journal.pone.0171814

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Akkerman R, Faas MM, de Vos P (2019) Non-digestible carbohydrates in infant formula as substitution for human milk oligosaccharide functions: effects on microbiota and gut maturation. Crit Rev Food Sci Nutr 59:1486–1497. https://doi.org/10.1080/10408398.2017.1414030

    Article  CAS  PubMed  Google Scholar 

  13. Milani C, Duranti S, Bottacini F, Casey E, Turroni F, Mahony J, Belzer C, Delgado Palacio S, Arboleya Montes S, Mancabelli L, Lugli GA, Rodriguez JM, Bode L, de Vos W, Gueimonde M, Margolles A, van Sinderen D, Ventura M (2017) The First Microbial colonizers of the human gut: composition, activities, and Health implications of the infant gut microbiota. Microbiol Mol Biol Rev 81:e00036–e00017. https://doi.org/10.1128/MMBR.00036-17

    Article  PubMed  PubMed Central  Google Scholar 

  14. Rousseaux A, Brosseau C, Le Gall S, Piloquet H, Barbarot S, Bodinier M (2021) Human milk oligosaccharides: their effects on the host and their potential as therapeutic agents. Front Immunol 12:680911. https://doi.org/10.3389/fimmu.2021.680911

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Corona L, Lussu A, Bosco A, Pintus R, Cesare Marincola F, Fanos V, Dessì A (2021) Human milk oligosaccharides: a Comprehensive Review towards Metabolomics. Child (Basel) 8:804. https://doi.org/10.3390/children8090804

    Article  Google Scholar 

  16. Tarr AJ, Galley JD, Fisher SE, Chichlowski M, Berg BM, Bailey MT (2015) The prebiotics 3’sialyllactose and 6’sialyllactose diminish stressor-induced anxiety-like behavior and colonic microbiota alterations: evidence for effects on the gut-brain axis. Brain Behav Immun 50:166–177. https://doi.org/10.1016/j.bbi.2015.06.025

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Ward RE, Niñonuevo M, Mills DA, Lebrilla CB, German JB (2007) In vitro fermentability of human milk oligosaccharides by several strains of bifidobacteria. Mol Nutr Food Res 51:1398–1405. https://doi.org/10.1002/mnfr.200700150

    Article  CAS  PubMed  Google Scholar 

  18. Locascio RG, Niñonuevo MR, Kronewitter SR, Freeman SL, German JB, Lebrilla CB, Mills DA (2009) A versatile and scalable strategy for glycoprofiling bifidobacterial consumption of human milk oligosaccharides. Microb Biotechnol 2:333–342. https://doi.org/10.1111/j.1751-7915.2008.00072.x

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Ruiz-Moyano S, Totten SM, Garrido DA, Smilowitz JT, German JB, Lebrilla CB, Mills DA (2013) Variation in consumption of human milk oligosaccharides by infant gut-associated strains of Bifidobacterium breve. Appl Environ Microbiol 79:6040–6049. https://doi.org/10.1128/AEM.01843-13

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Yu Z-T, Chen C, Newburg DS (2013) Utilization of major fucosylated and sialylated human milk oligosaccharides by isolated human gut microbes. Glycobiology 23:1281–1292. https://doi.org/10.1093/glycob/cwt065

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Duijts L, Jaddoe VWV, Hofman A, Moll HA (2010) Prolonged and exclusive breastfeeding reduces the risk of infectious diseases in infancy. Pediatrics 126:e18–25. https://doi.org/10.1542/peds.2008-3256

    Article  PubMed  Google Scholar 

  22. Cheng Y-J, Yeung C-Y (2021) Recent advance in infant nutrition: human milk oligosaccharides. Pediatr Neonatol 62:347–353. https://doi.org/10.1016/j.pedneo.2020.12.013

    Article  PubMed  Google Scholar 

  23. Zuurveld M, Ayechu-Muruzabal V, Folkerts G, Garssen J, van‘t Land B, Willemsen LEM (2023) Specific Human Milk Oligosaccharides differentially promote Th1 and Regulatory responses in a CpG-Activated Epithelial/Immune cell coculture. Biomolecules 13:263. https://doi.org/10.3390/biom13020263

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Underwood MA, Gaerlan S, De Leoz MLA, Dimapasoc L, Kalanetra KM, Lemay DG, German JB, Mills DA, Lebrilla CB (2015) Human milk oligosaccharides in premature infants: absorption, excretion, and influence on the intestinal microbiota. Pediatr Res 78:670–677. https://doi.org/10.1038/pr.2015.162

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Moukarzel S, Bode L (2017) Human milk oligosaccharides and the Preterm Infant: a journey in sickness and in Health. Clin Perinatol 44:193–207. https://doi.org/10.1016/j.clp.2016.11.014

    Article  PubMed  Google Scholar 

  26. Autran CA, Kellman BP, Kim JH, Asztalos E, Blood AB, Spence ECH, Patel AL, Hou J, Lewis NE, Bode L (2018) Human milk oligosaccharide composition predicts risk of necrotising enterocolitis in preterm infants. Gut 67:1064–1070. https://doi.org/10.1136/gutjnl-2016-312819

    Article  CAS  PubMed  Google Scholar 

  27. Masi AC, Embleton ND, Lamb CA, Young G, Granger CL, Najera J, Smith DP, Hoffman KL, Petrosino JF, Bode L, Berrington JE, Stewart CJ (2021) Human milk oligosaccharide DSLNT and gut microbiome in preterm infants predicts necrotising enterocolitis. Gut 70:2273–2282. https://doi.org/10.1136/gutjnl-2020-322771

    Article  CAS  PubMed  Google Scholar 

  28. Humberg A, Fortmann I, Siller B, Kopp MV, Herting E, Göpel W, Härtel C, German Neonatal Network, German Center for Lung Research and Priming Immunity at the beginning of life (PRIMAL) Consortium (2020) Preterm birth and sustained inflammation: consequences for the neonate. Semin Immunopathol 42:451–468. https://doi.org/10.1007/s00281-020-00803-2

    Article  PubMed  PubMed Central  Google Scholar 

  29. Graspeuntner S, Waschina S, Künzel S, Twisselmann N, Rausch TK, Cloppenborg-Schmidt K, Zimmermann J, Viemann D, Herting E, Göpel W, Baines JF, Kaleta C, Rupp J, Härtel C, Pagel J (2019) Gut dysbiosis with Bacilli Dominance and Accumulation of Fermentation products precedes late-onset Sepsis in Preterm infants. Clin Infect Dis 69:268–277. https://doi.org/10.1093/cid/ciy882

    Article  CAS  PubMed  Google Scholar 

  30. Halkjær SI, de Knegt VE, Lo B, Nilas L, Cortes D, Pedersen AE, Mirsepasi-Lauridsen HC, Andersen LO, Nielsen HV, Stensvold CR, Johannesen TB, Kallemose T, Krogfelt KA, Petersen AM (2020) Multistrain Probiotic increases the gut microbiota diversity in obese pregnant women: results from a Randomized, double-blind placebo-controlled study. Curr Dev Nutr 4:nzaa095. https://doi.org/10.1093/cdn/nzaa095

    Article  PubMed  PubMed Central  Google Scholar 

  31. Luoto R, Laitinen K, Nermes M, Isolauri E (2010) Impact of maternal probiotic-supplemented dietary counselling on pregnancy outcome and prenatal and postnatal growth: a double-blind, placebo-controlled study. Br J Nutr 103:1792–1799. https://doi.org/10.1017/S0007114509993898

    Article  CAS  PubMed  Google Scholar 

  32. Vitali B, Cruciani F, Baldassarre ME, Capursi T, Spisni E, Valerii MC, Candela M, Turroni S, Brigidi P (2012) Dietary supplementation with probiotics during late pregnancy: outcome on vaginal microbiota and cytokine secretion. BMC Microbiol 12:236. https://doi.org/10.1186/1471-2180-12-236

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Badehnoosh B, Karamali M, Zarrati M, Jamilian M, Bahmani F, Tajabadi-Ebrahimi M, Jafari P, Rahmani E, Asemi Z (2018) The effects of probiotic supplementation on biomarkers of inflammation, oxidative stress and pregnancy outcomes in gestational diabetes. J Matern Fetal Neonatal Med 31:1128–1136. https://doi.org/10.1080/14767058.2017.1310193

    Article  CAS  PubMed  Google Scholar 

  34. Dewanto NEF, Firmansyah A, Sungkar A, Dharmasetiawani N, Sastroasmoro S, Kresno SB, Suradi R, Bardosono S, Prasetyo D (2017) The effect of bifidobacterium animalis lactis HNO19 supplementation among pregnant and lactating women on interleukin-8 level in breast milk and infant’s gut mucosal integrity. Med J Indonesia 26:204–211. https://doi.org/10.13181/mji.v26i3.1481

    Article  Google Scholar 

  35. Mastromarino P, Capobianco D, Miccheli A, Praticò G, Campagna G, Laforgia N, Capursi T, Baldassarre ME (2015) Administration of a multistrain probiotic product (VSL#3) to women in the perinatal period differentially affects breast milk beneficial microbiota in relation to mode of delivery. Pharmacol Res 95–96:63–70. https://doi.org/10.1016/j.phrs.2015.03.013

    Article  CAS  PubMed  Google Scholar 

  36. Yang S, Reid G, Challis JRG, Gloor GB, Asztalos E, Money D, Seney S, Bocking AD (2020) Effect of oral probiotic Lactobacillus rhamnosus GR-1 and Lactobacillus reuteri RC-14 on the vaginal microbiota, cytokines and chemokines in pregnant women. Nutrients 12:368. https://doi.org/10.3390/nu12020368

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Ho M, Chang Y-Y, Chang W-C, Lin H-C, Wang M-H, Lin W-C, Chiu T-H (2016) Oral Lactobacillus rhamnosus GR-1 and Lactobacillus reuteri RC-14 to reduce Group B Streptococcus colonization in pregnant women: a randomized controlled trial. Taiwan J Obstet Gynecol 55:515–518. https://doi.org/10.1016/j.tjog.2016.06.003

    Article  PubMed  Google Scholar 

  38. Ang X-Y, Roslan NS, Ahmad N, Yusof SM, Abdullah N, Rahman NNNA, Woon J-J, Teh CS-J, Todorov SD, Liu G, Liong M-T (2023) Lactobacillus probiotics restore vaginal and gut microbiota of pregnant women with vaginal candidiasis. Beneficial Microbes 14:421–431. https://doi.org/10.1163/18762891-20220103

    Article  PubMed  Google Scholar 

  39. Dotterud CK, Avershina E, Sekelja M, Simpson MR, Rudi K, Storrø O, Johnsen R, Øien T (2015) Does maternal perinatal probiotic supplementation alter the intestinal microbiota of mother and child? J Pediatr Gastroenterol Nutr 61:200–207. https://doi.org/10.1097/MPG.0000000000000781

    Article  CAS  PubMed  Google Scholar 

  40. Enomoto T, Sowa M, Nishimori K, Shimazu S, Yoshida A, Yamada K, Furukawa F, Nakagawa T, Yanagisawa N, Iwabuchi N, Odamaki T, Abe F, Nakayama J, Xiao J-Z (2014) Effects of bifidobacterial supplementation to pregnant women and infants in the prevention of allergy development in infants and on fecal microbiota. Allergol Int 63:575–585. https://doi.org/10.2332/allergolint.13-OA-0683

    Article  CAS  PubMed  Google Scholar 

  41. Allen SJ, Jordan S, Storey M, Thornton CA, Gravenor MB, Garaiova I, Plummer SF, Wang D, Morgan G (2014) Probiotics in the prevention of eczema: a randomised controlled trial. Arch Dis Child 99:1014–1019. https://doi.org/10.1136/archdischild-2013-305799

    Article  PubMed  Google Scholar 

  42. Rodríguez JM, Fernández L, Verhasselt V (2021) The gut–breast Axis: Programming Health for Life. Nutrients 13:606. https://doi.org/10.3390/nu13020606

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Bering SB (2018) Human milk oligosaccharides to prevent gut dysfunction and necrotizing enterocolitis in Preterm neonates. Nutrients 10:1461. https://doi.org/10.3390/nu10101461

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Gavzy SJ, Kensiski A, Lee ZL, Mongodin EF, Ma B, Bromberg JS (2023) Bifidobacterium mechanisms of immune modulation and tolerance. Gut Microbes 15:2291164. https://doi.org/10.1080/19490976.2023.2291164

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Morrison DJ, Preston T (2016) Formation of short chain fatty acids by the gut microbiota and their impact on human metabolism. Gut Microbes 7:189–200. https://doi.org/10.1080/19490976.2015.1134082

    Article  PubMed  PubMed Central  Google Scholar 

  46. Chang PV, Hao L, Offermanns S, Medzhitov R (2014) The microbial metabolite butyrate regulates intestinal macrophage function via histone deacetylase inhibition. Proc Natl Acad Sci U S A 111:2247–2252. https://doi.org/10.1073/pnas.1322269111

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Al-Khafaji AH, Jepsen SD, Christensen KR, Vigsnæs LK (2020) The potential of human milk oligosaccharides to impact the microbiota-gut-brain axis through modulation of the gut microbiota. J Funct Foods 74:104176. https://doi.org/10.1016/j.jff.2020.104176

    Article  CAS  Google Scholar 

  48. Cho S, Zhu Z, Li T, Baluyot K, Howell BR, Hazlett HC, Elison JT, Hauser J, Sprenger N, Wu D, Lin W (2021) Human milk 3’-Sialyllactose is positively associated with language development during infancy. Am J Clin Nutr 114:588–597. https://doi.org/10.1093/ajcn/nqab103

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Dinleyici M, Barbieur J, Dinleyici EC, Vandenplas Y (2023) Functional effects of human milk oligosaccharides (HMOs). Gut Microbes 15:2186115. https://doi.org/10.1080/19490976.2023.2186115

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Berger PK, Plows JF, Jones RB, Alderete TL, Yonemitsu C, Poulsen M, Ryoo JH, Peterson BS, Bode L, Goran MI (2020) Human milk oligosaccharide 2’-fucosyllactose links feedings at 1 month to cognitive development at 24 months in infants of normal and overweight mothers. PLoS ONE 15:e0228323. https://doi.org/10.1371/journal.pone.0228323

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  51. Härtel C, Pagel J, Rupp J, Bendiks M, Guthmann F, Rieger-Fackeldey E, Heckmann M, Franz A, Schiffmann J-H, Zimmermann B, Hepping N, von der Wense A, Wieg C, Herting E, Göpel W, German Neonatal Network (2014) Prophylactic use of Lactobacillus acidophilus/Bifidobacterium infantis probiotics and outcome in very low birth weight infants. J Pediatr 165:285–289e1. https://doi.org/10.1016/j.jpeds.2014.04.029

    Article  PubMed  Google Scholar 

  52. Marißen J, Haiß A, Meyer C, Van Rossum T, Bünte LM, Frommhold D, Gille C, Goedicke-Fritz S, Göpel W, Hudalla H, Pagel J, Pirr S, Siller B, Viemann D, Vens M, König I, Herting E, Zemlin M, Gehring S, Bork P, Henneke P, Härtel C, PRIMAL consortium (2019) Efficacy of Bifidobacterium longum, B. infantis and Lactobacillus acidophilus probiotics to prevent gut dysbiosis in preterm infants of 28 + 0–32 + 6 weeks of gestation: a randomised, placebo-controlled, double-blind, multicentre trial: the PRIMAL clinical study protocol. BMJ Open 9:e032617. https://doi.org/10.1136/bmjopen-2019-032617

    Article  PubMed  PubMed Central  Google Scholar 

  53. Fortmann I, Dammann M-T, Siller B, Humberg A, Demmert M, Tüshaus L, Lindert J, van Zandbergen V, Pagel J, Rupp J, Herting E, Härtel C (2021) Infants younger than 90 days admitted for late-onset Sepsis Display a Reduced Abundance of Regulatory T Cells. Front Immunol 12:666447. https://doi.org/10.3389/fimmu.2021.666447

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  54. Wang A, Koleva P, du Toit E, Geddes DT, Munblit D, Prescott SL, Eggesbø M, Johnson CC, Wegienka G, Shimojo N, Campbell D, Kozyrskyj AL, Slupsky CM (2020) The milk metabolome of non-secretor and Lewis Negative Mothers. Front Nutr 7:576966. https://doi.org/10.3389/fnut.2020.576966

    Article  PubMed  Google Scholar 

  55. Kortesniemi M, Jafari T, Zhang Y, Yang B (2022) 1H NMR metabolomics of Chinese Human Milk at Different Stages of Lactation among secretors and non-secretors. Molecules 27:5526. https://doi.org/10.3390/molecules27175526

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  56. Pagel J, Twisselmann N, Rausch TK, Waschina S, Hartz A, Steinbeis M, Olbertz J, Nagel K, Steinmetz A, Faust K, Demmert M, Göpel W, Herting E, Rupp J, Härtel C (2020) Increased Regulatory T Cells Precede the Development of Bronchopulmonary Dysplasia in Preterm infants. Front Immunol 11:565257. https://doi.org/10.3389/fimmu.2020.565257

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  57. Pacheco AR, Barile D, Underwood MA, Mills DA (2015) The impact of the milk glycobiome on the neonate gut microbiota. Annu Rev Anim Biosci 3:419–445. https://doi.org/10.1146/annurev-animal-022114-111112

    Article  CAS  PubMed  Google Scholar 

  58. Li M, Bai Y, Zhou J, Huang W, Yan J, Tao J, Fan Q, Liu Y, Mei D, Yan Q, Yuan J, Malard P, Wang Z, Gu J, Tanigchi N, Li W (2019) Core fucosylation of maternal milk N-Glycan evokes B Cell activation by selectively promoting the l-Fucose metabolism of gut Bifidobacterium spp. and Lactobacillus spp. mBio 10:e00128–e00119. https://doi.org/10.1128/mBio.00128-19

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  59. Ansari F, Neshat M, Pourjafar H, Jafari SM, Samakkhah SA, Mirzakhani E (2023) The role of probiotics and prebiotics in modulating of the gut-brain axis. Front Nutr 10:1173660. https://doi.org/10.3389/fnut.2023.1173660

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. Zunga M, Yebra MJ, Monedero V (2021) Complex Oligosaccharide Utilization Pathways in Lactobacillus. Curr Issues Mol Biol 40:49–80. https://doi.org/10.21775/cimb.040.049 .

  61. Thongaram T, Hoeflinger JL, Chow J, Miller MJ (2017) Human milk oligosaccharide consumption by probiotic and human-associated bifidobacteria and lactobacilli. J Dairy Sci 100(10):7825–7833. https://doi.org/10.3168/jds.2017-12753

  62. Rodríguez-Díaz J, Monedero V, Yebra MJ (2011) Utilization of Natural Fucosylated Oligosaccharides by Three Novel α-l-Fucosidases from a Probiotic Lactobacillus casei Strain. Appl Environ Microbiol 77(2):703–705. https://doi.org/10.1128/AEM.01906-10

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Acknowledgements

We thank all participating women and their infants for taking part in this study. Also, we thank Linea Welp for her excellent work in conceptualizing Fig. 1. Besides, we thank all employees in the Department of Gynecology and Obstetrics and in the Department of Pediatrics, University Hospital of Lübeck who supported this study.

Funding

Ingmar Fortmann is supported by the Section of Medicine University of Lübeck in the Advanced Clinician Scientist Program LACS02-2024, Julia Pagel is supported by the iSTAR program (financed by the BMBF, 01EO2106). Apart from that this research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors.

Open Access funding enabled and organized by Projekt DEAL.

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Contributions

Christoph Härtel and Ingmar Fortmann conceptualized the study, obtained funding. Amrei Welp wrote the study protocol, Carsten Fortmann-Grote provided statistical expertise. Amrei Welp and Ingmar Fortmann wrote the draft of the manuscript. Christoph Härtel, Ingmar Fortmann, Michael Gembicki, Emily Laser, Jann Lennard Scharf, Wolfgang Göpel, Guido Stichtenoth, Kathrin Hanke, Kirstin Faust, Achim Rody and Egbert Herting supported the study design, sample and data collection. Jan Rupp, Annette Haiß, Julia Pagel and Karsten Seeger provided information for analyzing the samples. All authors approved the manuscript as submitted an agreed to be amenable of all aspects of the work. In order to do so ensuring that questions related to integrity and accuracy of the work are investigated and answered properly.

Corresponding author

Correspondence to A. Welp.

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Ethics approval was obtained by the ethical committee of the University of Lübeck, Germany, with the Number 2023 − 766 on 15th December 2023.

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Welp, A., Laser, E., Seeger, K. et al. Effects of multistrain Bifidobacteria and Lactobacillus probiotics on HMO compositions after supplementation to pregnant women at threatening preterm delivery: design of the randomized clinical PROMO trial. Mol Cell Pediatr 11, 6 (2024). https://doi.org/10.1186/s40348-024-00179-5

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