Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Maturation of the preterm gastrointestinal tract can be defined by host and microbial markers for digestion and barrier defense

Abstract

Functionality of the gastrointestinal tract is essential for growth and development of newborns. Preterm infants have an immature gastrointestinal tract, which is a major challenge in neonatal care. This study aims to improve the understanding of gastrointestinal functionality and maturation during the early life of preterm infants by means of gastrointestinal enzyme activity assays and metaproteomics. In this single-center, observational study, preterm infants born between 24 and 33 weeks (n = 40) and term infants born between 37 and 42 weeks (n = 3), who were admitted to Isala (Zwolle, the Netherlands), were studied. Enzyme activity analyses identified active proteases in gastric aspirates of preterm infants. Metaproteomics revealed human milk, digestive and immunological proteins in gastric aspirates of preterm infants and feces of preterm and term infants. The fecal proteome of preterm infants was deprived of gastrointestinal barrier-related proteins during the first six postnatal weeks compared to term infants. In preterm infants, bacterial oxidative stress proteins were increased compared to term infants and higher birth weight correlated to higher relative abundance of bifidobacterial proteins in postnatal week 3 to 6. Our findings indicate that gastrointestinal and beneficial microbial proteins involved in gastrointestinal maturity are associated with gestational and postnatal age.

Introduction

Preterm birth interrupts the natural, intrauterine development of the gastrointestinal tract (GIT), immune system and microbiota that occurs during the third trimester1,2. The GIT continues to develop after birth with the environment deviating from mother’s womb. Early exposure to a deviating environment affects the infant and maturation processes on a systemic level.

Strict feeding regimens are implemented to orchestrate optimal maturation of the GIT, which is crucial for infant growth, development and health. Human milk is the first choice for both term and preterm infants as it has nutritious, immunomodulatory and microbial benefits3. Whether nutritional components of human milk can be absorbed and digested largely depends on gastrointestinal maturity of the infant4. Some digestive enzymes and gastrointestinal motility functions develop during later stages of gestation, leading to suboptimal functioning upon preterm birth4,5. This affects proteolysis of major milk proteins in preterm infants for example6, even though it still occurs7. Incomplete breakdown of proteins can be beneficial or harmful, depending on which proteins remain intact8. Additionally, underdeveloped gastrointestinal motility may lead to nutrient retention that could initiate a sequence of events with translocation of microbes or their toxic products as a consequence9.

Gastrointestinal maturity additionally plays an important role in gastrointestinal barrier functioning, which is crucial for maintaining gastrointestinal homeostasis and infant health10. Preterm infants have a leaky gut in the first weeks of life as the intestinal barrier develops11,12,13. Along with gestational age, multiple factors affect intestinal permeability in preterm infants, including infection, inflammation, feeding type and antibiotic exposure14,15,16.

Host-microbe interactions occur at the gut barrier and impact physiological development of the GIT, the immune system and human milk digestion2,17. Preterm infants are particularly susceptible to sepsis and necrotizing enterocolitis (NEC) due to immaturity of the intestinal epithelial barrier, the immune system as well as their microbiota development9,12,18.

Metaproteomics offers great potential to functionally characterize organisms and is increasingly used to supplement compositional profiling of the human microbiome19,20,21,22,23. This study aims to improve the understanding of gastrointestinal functionality and maturation during the early life of preterm infants by means of gastrointestinal enzyme activity assays and metaproteomics. Here, we add new enzyme activity analyses to previously acquired metaproteomics data24. Moreover, gastric aspirates and term infants were newly added to the metaproteomics analyses, which focus on human proteins and their implications for interactions with previous findings on the microbiota24.

Results

Metaproteomic characterization

740,343 MS/MS spectra were recorded of which 89,294 were identified. After omitting samples (Fig. 1), metaproteomics generated 11,885 unique peptides and 3181 protein groups in 108 samples. 2317 protein groups remained after protein filtering. Of the identified protein groups, 886 proteins were human- and/or bovine-derived and 1431 proteins were bacterial-derived. On average, 1409 ± 456.6 unique peptides and 206.3 ± 66.5 protein groups were detected in a sample. 199.3 ± 62.8 and 243.8 ± 74.6 protein groups were detected on average in preterm and term infants, respectively.

Figure 1
figure 1

Overview and workflow of this study. Preterm and term infants were part the EIBER study. Of forty preterm infants, gastric aspirates were collected during postnatal days 1–14 (left). From ten out of forty preterm infants, feces were additionally collected in postnatal week 1-6 with the exception of week 5; gastric aspirates of the first two postnatal weeks were included for metaproteomics if they were collected on similar timepoints as the fecal samples. Three term infants were included as healthy reference. Feces of those infants were collected in postnatal week 1–6 with the exception of week 5. GA: gestational age.

Gastric proteases and peptidases are present and active in the preterm gastric proteome

Forty preterm infants were part of this study. Of all these infants, gastric aspirates were collected during postnatal days 1–14 (Fig. 1). These samples were used for pH measurements, total protease activity and pepsin activity. At some timepoints, samples were unavailable or insufficient in volume to conduct all measurements, resulting in 425 samples for pH measurement, 433 for total protease activity assays and 434 for pepsin activity assays (Fig. 1).

Median gastric pH of preterm infants fluctuated between 4.5 and 5.5 over time (Fig. 2A). In ten out of forty infants, the gastric pH was exceptionally high (> 8.0 pH) at day of birth but mean gastric pH did not differ significantly from the other infants in the days thereafter (p > 0.99). Intra-individual differences were high, with a mean difference of 4.2 ± 1.3 (s.d.) between the lowest and highest pH measured during the first six weeks of life. Total protease and pepsin activity showed high variation between and within infants. While median total protease activity was higher in the second than the first postnatal week, pepsin activity remained relatively stable (Fig. 2B,C). Being a pH-dependent enzyme, pepsin activity decreased with higher gastric pH and was not affected by postnatal age (ρ = −0.32, p = 1.3 × 10−11). Interestingly, pepsin was not detected in the gastric proteome by means of LC-MS/MS. However, other proteases, like trypsin and chymotrypsin-like elastase family members 2A, 3A and 3B could be identified.

Figure 2
figure 2

Gastric pH and enzyme activity during the first two postnatal weeks of preterm infants. Dynamics of (a) gastric pH, (b) total protease activity and (c) pepsin activity. Boxplots show the median, 25th and 75th percentiles, and minimal and maximal values with the exception of outliers (circles, lower or higher than 1.5 * inter-quartile range).

Human and microbial proteins across the gastrointestinal tract

Ten out of the forty preterm infants were selected for metaproteomics based on gestational age (Fig. 1, Supplementary Table S1)24. Additionally, three term infants from the EIBER study were included as reference. From all these infants, fecal samples (n = 81) were collected right after birth and at postnatal weeks one, two, three, four and six. Sixty-four fecal samples derived from the ten preterm infants and 17 from the three term infants. Gastric aspirates collected from the ten preterm infants during the first two postnatal weeks were included for metaproteomics if they were collected on similar timepoints as the fecal samples (n = 35). Eight fecal samples from preterm infants were collected in between the intended timepoints and were therefore omitted before data analysis, leaving a total of 56 fecal samples of preterm infants (Fig. 1).

Specific human milk proteins resist degradation in the preterm gastrointestinal tract

In addition to the presence of proteases, milk-derived proteins were present in gastric aspirates and feces of preterm infants throughout the first two postnatal weeks. These included bile-salt activated lipase, lactotransferrin, caseins, alpha-lactalbumin and serum albumin (Supplementary Table S2). In the gastric aspirates of extremely preterm infants in the first two postnatal weeks, more than 30.0% of identified human milk proteins consisted of casein fragments. In feces, only 0.07% and 0.2% of identified human milk proteins were casein fragments in week one and two respectively. In contrast to extremely preterm infants, the relative abundance of casein fragments in gastric aspirates of very preterm infants was higher with 48.1% and 47.5% in week one and two respectively. No casein fragments were detected in feces. Human milk-derived lactotransferrin and serum albumin were also detected in fecal samples of all preterm and term infants, while no bovine-derived proteins were observed (Fig. 3 and Supplementary Fig. S1).

Figure 3
figure 3

Normalized abundance of milk-derived proteins of human and bovine source in gastric aspirates and feces during the first two postnatal weeks. Milk-derived proteins in gastric aspirates and feces of (a) extremely preterm, (b) very preterm and (c) term infants. Log10 transformed LFQ values are shown. Coloring is based on abundance from least abundant (yellow) to most abundant (blue).

Birth weight positively correlates to bifidobacterial protein abundance in preterm infants from the third postnatal week onwards

In term infant’s feces, relative abundance of bacterial proteins gradually increased from 18% to 34% over the first six weeks, while the abundance of host- and dietary-derived proteins decreased. The ratio bacterial to eukaryote proteins developed more stochastically in preterm infants (Supplementary Fig. S2). The bacterial proteins abundance in extremely preterm infants was 6% and remained significantly lower than that of term infants up till the end of the six weeks (p = 0.04). For very preterm infants, bacterial protein abundance increased to 31%, reaching similar levels as that of term infants in week 6. Moreover, extremely preterm infants were characterized by a low mean relative abundance of bifidobacterial-derived proteins fluctuating between 6% and 10% throughout the six-week period (Supplementary Fig. S3). In contrast, bifidobacterial-derived proteins reached proportions as high as 41% and 52% in the sixth week of very preterm and term infants, respectively.

Weight parameters were correlated to relative abundance of bifidobacterial-derived proteins in preterm infant’s feces. For term infants, no data on weight gain was available. For preterm infants, higher birth weight was significantly correlated to higher proportions of bifidobacterial proteins from week 3 onwards (ρ > 0.75 and p < 0.05) (Supplementary Fig. S4). In contrast, higher Bifidobacterium relative abundance did not significantly correlate to growth velocity during the first six postnatal weeks (p ≥ 0.23) (Supplementary Fig. S5).

Gastrointestinal barrier-related proteins are less abundant in preterm infant’s feces

Based on redundancy analysis, gestational age was identified as significant driver for differences in the fecal proteome of preterm and term infants during the first six postnatal weeks (Fig. 4, Supplementary Table S3). Twelve (out of 804) human-derived proteins’ abundances were significantly lower in preterm infants’ feces compared to term infants’ feces during the first six postnatal weeks (Fig. 5, Supplementary Table S4). These proteins included barrier and innate mucosal immune proteins mucin-5AC (MUC5AC), trefoil factor 2 (TFF2), trefoil factor 3 (TFF3) and neutrophil defensin 3 (DEFA3) and proteins involved in lipid metabolism. As such, these proteins were further analyzed longitudinally by temporal dynamic patterns. MUC5AC showed a 2.7-fold change in term infants compared to preterm infants (Fig. 5) and was detected in low levels of preterm infants during the first two postnatal weeks (Fig. 6A). From the third week onwards, MUC5AC intensity decreased further in preterm infants while it increased in term infants. From the third postnatal week onwards, MUC5AC levels were significantly higher in term infants compared to that of preterm infants (p < 0.05). A similar pattern was observed for TFF2 (Fig. 6B) with a 3.6-fold change difference between term infants and preterm infants (Fig. 5). In contrast to term infants, TFF3 was not detected in preterm infants during the first six weeks of life (Fig. 6C). TFF3 had a 2.5-fold change in term infants compared to preterm infants (Fig. 5). DEFA3 was significantly higher in term infants compared to preterm infants during the whole period six-week period (p < 0.05) (Fig. 6D) and reached 4.5-fold change difference in term infants compared to preterm infants (Fig. 5).

Figure 4
figure 4

Redundancy analysis on the fecal proteome of preterm and term infants during the first six postnatal weeks. Clinical variables shown by arrows significantly explain variation in the proteome as selected by forward and reverse automatic stepwise model selection. Colored points indicate infant samples of one timepoint, numbers indicate the corresponding postnatal week and grey points indicate centroids of identified proteins. AB1: first antibiotic treatment including no treatment and treatment of short (< 3 days) or medium (3–5 days) duration.

Figure 5
figure 5

Volcano plot showing differences within the fecal proteome of preterm and term infants. LFQ intensities of fecal samples from preterm (n = 64) and term (n = 17) infants were used to generate the volcano plot in Perseus version 1.6.2.156. LFQ intensities were 10log transformed, samples were assigned to its designated study group and compared with a Student’s two-sample t-test with permutation-based FDR correction. P-values as indicated on the y-axis are -10log transformed. The differentially expressed proteins are marked by gene names. Upregulated proteins in preterm infants include: LV403: Ig lambda chain V-IV region Hil; GNS: Glucosamine (N-acetyl)-6-sulfatase; FOLH1: Glutamate carboxypeptidase 2; ACE: Angiotensin-converting enzyme; KV402: Ig kappa chain V-IV region Len; RBP2: Retinol-binding protein 2 (fragment); LV302: Ig lambda chain V-II region LOI. Upregulated proteins in term infants include PLA2G1B: Phospholipase A2; TFF2: Trefoil factor 2; NPC2: Epididymal secretory protein E1 (fragment); DEFA3: Neutrophil defensin 3; GP2: Pancreatic secretory granule membrane major glycoprotein GP2 (fragment); CLPS: Colipase; TFF3: Trefoil factor 3; MUC5AC: Mucin-5AC; CUZD1: CUB and zona pellucida-like domain-containing protein 1; CEACAM7: Carcinoembryonic antigen-related cell adhesion molecule 7; VNN1: Pantetheinase; CPB1: Carboxypeptidase B; IGJ: Immunoglobulin J chain (fragment).

Figure 6
figure 6

Temporal dynamics of gastrointestinal integrity and maturation markers in the fecal proteome of preterm and term infants. (a) Mucin-5AC, (b) trefoil factor 2, (c) trefoil factor 3 and (d) neutrophil defensin 3. The y-axis shows 10Log transformed label free quantification (LFQ) intensity. The x-axis shows the postnatal age in weeks for each gestational age group.

Preterm infants express higher levels of microbial oxidative stress proteins compared to term infants

Our previous work indicated that delayed colonisation by beneficial, strict anaerobes was associated with respiratory support strategies24. Samples with low levels of bifidobacterial proteins showed relatively high levels of proteins derived from opportunistic pathogens including Enterococcus spp., Escherichia spp. and Klebsiella spp. (Supplementary Fig. S3). Being facultative anaerobic bacteria, expression of oxidative stress proteins may provide competitive advantage. These genera expressed oxidative stress proteins at different levels in the gestational age groups. Extremely preterm infants, characterized by a low mean relative abundance of bifidobacterial-derived proteins, had significantly higher levels of oxidative stress proteins compared to term infants in the second till fourth postnatal week (p ≤ 0.01) (Supplementary Fig. S6).

Human digestive and immunological proteins are consistently present in the preterm infant’s gastrointestinal tract

Many bioactive proteins were consistently identified in preterm infants. For example, immunoglobulin structures and other innate immune proteins were attributes with highest contribution to variation in the gastric proteome by principal component analysis (Supplementary Fig. S7) as well as by comparison of fecal protein abundances in preterm and term infants (Fig. 5, Supplementary Table S4). Immunoglobulin structures that were significantly more abundant in preterm infants included Ig lambda chain V-III region LOI, Ig kappa chain V–IV region Len and Ig lambda chain V–IV region Hil (−1.9, −2.2- and −2.7-fold change respectively between preterm and term infants). Additionally, human catabolic enzymes were more abundant in preterm infants (Fig. 5, Supplementary Table S4) including angiotensin-converting enzyme, glutamate carboxypeptidase 2 and N-acetylglucosamine-6-sulfatase (−1.7-, −2.2- and −2.6-fold change respectively between preterm and term infants). Apart from significant differences, a big variety of human-derived proteins involved in digestion and immune responses were consistently identified in both gastric and fecal proteomes of preterm infants (Supplementary Table S5).

Discussion

Our findings show that preterm infants express enzymes for human milk protein degradation, albeit to a lesser extent than term infants. Digestion likely starts in the gastric environment with proteases derived from mother and/or infant. Moreover, the gastrointestinal barrier of preterm infants is impaired during the first six postnatal week together with less milk-degrading microbes and more bacterial oxidative stress proteins. Although digestive enzymes and gastrointestinal permeability are known to be suboptimal in preterm infants, our findings address these issues for the first time by combining the proteomic profiles of infant gastric aspirates and feces. Other metaproteomic studies in preterm infants have addressed functionality of the microbiome21,22. Additionally, we have added a host and developmental perspective to this by monitoring in the first six postnatal weeks.

Similar to findings by Omari et al.25, we found average gastric pH fluctuated during the first two postnatal weeks. Extremely high gastric pH at day of birth, as observed in some infants in our study, might be due to swallowing of alkaline amniotic fluid26. Median pepsin activity was relatively stable, yet very low. High pH combined with low pepsin activity could affect gastric digestive capacity of preterm infants and thereby decrease their nutrient utilization potential6,8. Although enzyme activity analyses showed pepsin was active in the stomach, we could not identify pepsin in the gastric proteome by means of LC-MS/MS. Yet, our results suggest preterm infants are equipped to degrade human milk proteins, as we identified proteases, peptidases and various other digestive enzymes in the gastric and fecal proteome. The activity of these enzymes depends on the maturation status of the infant and may thereby introduce variation in the protein groups identified in each infant, as was shown by our high protein identity variety across samples. The identified enzymes could also be derived from human milk27,28. A previous study, however, showed that human milk-derived proteases cannot compensate for the low gastric protein digestion capacity observed in preterm infants6. In agreement with our findings, other studies have shown lower proteolytic capacity of gastric enzymes for human milk proteins in preterm infants compared to term infants6. Milk peptides, including caseins, can survive gastrointestinal digestion29, which we could confirm in our study in a quantitative and longitudinal manner. As milk peptides are an important source of peptides and amino acids for rapidly growing infants30, the impaired degradation and/or absorption of human milk proteins in preterm infants could have serious consequences on energy acquisition and subsequent growth in early life. However, providing infants with protein hydrolysates did not improve growth and weight gain31. The microbiota composition in preterm infants may further influence metabolic activities as shown by other metaproteomic studies in preterm infants that identified microbiota-associated metabolic shifts21,22. In our previous work, we similarly have shown that a Bifidobacterium-dominated community, as observed in very preterm but not in extremely preterm infants, is associated with increased bacterial proteins involved in carbohydrate and energy metabolism24. Here, we have described a correlation between bifidobacterial proteins and birth weight in preterm infants. Infants with higher birth weight are less likely to encounter complications and are more likely to have better early neonatal circumstances compared to low-birth-weight infants. Less and shorter antibiotic treatments as well as less respiratory support might allow beneficial obligate anaerobes, such as bifidobacteria, to thrive. Delayed colonization of such bacteria was observed with more and longer antibiotic treatments as well as with increased duration of respiratory support24,32,33. As a consequence of a higher birth weight, maturation of the GIT as well as bifidobacterial abundance would be promoted, further supporting human milk utilization capacity of the microbiota and weight gain. Potential associations between microbiota and weight gain should be further investigated in a larger cohort of preterm infants.

In addition to digestion, we have shown impaired levels of gastrointestinal barrier-related proteins in preterm infants over the first six postnatal weeks. While MUC5AC is a gel-forming glycoprotein lining gastric and respiratory tract epithelia, trefoil factors are mucin-associated peptides involved in protection and repair of the gastrointestinal mucosa by being involved in restitution and stimulation of immunocyte migration34,35,36. Interaction of TFF2 or TFF3 with MUC5AC has not been reported so far but is likely due to proven interactions between trefoil factor 1 and MUC5AC as well as homology within a conserved trefoil domain37. Therefore, our findings could indicate a less thick and stable mucus layer in the GIT of preterm infants that could subsequently impair the intestinal barrier as described previously11. Other metaproteomic studies in preterm infants identified proteins related to gut mucosal barrier development and protection, including MUC5AC and trefoil factors21,22. Our results showed an inverse association of gastrointestinal barrier-related proteins with bacterial oxidative stress proteins of facultative anaerobes. In our previous work, delayed colonisation by beneficial, strict anaerobes was associated with respiratory support strategies including ventilation and/or continuous positive airway pressure (CPAP)24. Hence, we hypothesized that respiratory support might introduce oxygen into the lumen. Subsequently, the aerobic environment could decrease abundance of beneficial, strict anaerobic microbes such as Bifidobacterium spp., that produce short-chain fatty acids involved in the production of anti-inflammatory cytokines and stimulation of the intestinal barrier function16,38,39,40. This in turn might sustain an aerobic environment in which facultative anaerobes such as Enterococcus spp. and Klebsiella spp. benefit from oxygen while restraining oxidative stress41. While Bifidobacterium may protect against intestinal barrier dysfunction42, products of Enterococcus could compromise the intestinal epithelial barrier43. Our previous work on the same cohort indicated a delay in bacterial colonization in extremely preterm infants compared to infants born at later gestational ages, as well as decreased abundance of Bifidobacterium-derived proteins24, suggesting that this gestational age category is particularly prone to an impaired intestinal barrier and a leaky gut.

Digestive and immune proteins were consistently identified in the gastric and fecal proteome. Proteins related to innate immune responses, including immunoglobulins and antibacterial proteins, have previously been identified in preterm infants21,22. It remains unknown whether these proteins are active and whether they are produced by the preterm infant itself or derived from human milk, even though many proteins have been detected in human milk27,28,44,45 and preterm infants are immunocompromised46. Some bioactive proteins are more evident to derive from human milk, such as secretory immunoglobulin A47. Other bioactive proteins that we identified in feces include casein fragments, lactotransferrin and serum albumin, as described previously48. By surviving gastrointestinal digestion, these components could confer functional properties that could protect against neonatal sepsis and NEC49 although certainty of evidence in these cases is low50. Human milk, thus, acts at the gut-barrier interface where it supports functional development of the GIT, shapes the microbiome and positively influences health outcomes51,52.

While our findings indicate impaired digestion and gastrointestinal barrier defense in preterm infants, we acknowledge the relatively small number of particularly term infants described in this study. As the main objective of this pilot study was to elucidate metaproteomes of preterm infants, few term infants were recruited. This should be taken into account when interpreting the data. Moreover, metaproteomics of the human gut has its challenges20. Future studies should focus on increasing depth and coverage of the microbiome, sample preparation throughput and multiplexity of MS measurements. Moreover, technical barriers for bioinformatic data processing require additional efforts19,20.

Conclusion

Our findings indicate that gastrointestinal and beneficial microbial proteins involved in gastrointestinal maturity are associated with gestational and postnatal age. While digestive enzymes and gastrointestinal permeability are known to be suboptimal in preterm infants, this is the first study measuring both human and microbial proteins in stomach and feces during the first six postnatal weeks. The gut barrier proves to be an important environment where gastrointestinal epithelium, immune system and microbiota interact to drive growth, development and health of the preterm infant. More insights might lead to the design of optimized nutrition support strategies based on the characteristics of the preterm infant and its gut maturation status.

Materials and methods

Ethics declaration

The board from the Medical Ethical Committee of Isala Zwolle concluded that this study does not fall under the scope of the Medical Research Involving Human Subjects Act (WMO). Informed consent was obtained from both parents of all individual participants included in the study.

Study description

The study was part of the EIBER study; a single-center, observational study involving term and preterm infants admitted to the neonatal intensive care unit or the pediatric ward of Isala in Zwolle, The Netherlands. Mothers were encouraged to breastfeed at all times. If needed, infants were supplemented or fed with preterm formula (Nutrilon Nenatal Start, Danone Nutricia, The Netherlands).

As part of the EIBER study, gastric aspirates were obtained on a daily basis during the first 14 days of life in all preterm infants having a nasogastric tube on clinical grounds (Fig. 1, gestational age of 24-33 weeks, n = 40 infants). Enteral feeding was started as soon as possible with gradual increments but was supplemented with parenteral nutrition if necessary. Samples of this part were used to perform pH measurements and enzyme activity analyses.

Another part of the EIBER study included gastric aspirate and fecal sample collection immediately after birth and at postnatal weeks one, two, three, four and six. This part included both preterm and term infants that were selected based on gestational age (Fig. 1). Out of the forty preterm infants, ten preterm infants were selected based on a gestational age < 32 weeks, whereas three term infants were selected based on a gestational age between 37 and 41 weeks. The amount of collected gastric aspirate was roughly 1 mL; the minimal amount of collected feces was one scoop. Samples of this part were used to perform metaproteomics and were used previously as well for 16S rRNA gene amplicon sequencing24.

Subjects and sample selection

pH and enzyme activity analyses

From the ten preterm infants (100 samples), as well as thirty additional preterm infants (325–334 samples), aspirates of residual gastric content were collected daily during the first two postnatal weeks (Fig. 1). The thirty additional preterm infants were selected if gastric aspirates of minimally eight timepoints were available. At collection, samples were frozen at −20 °C and stored at −80 °C.

Metaproteomics

Ten preterm infants and three term infants from the EIBER study were selected based on gestational age (Fig. 1, Supplementary Table S1)24. From all these infants, fecal samples were collected right after birth and at postnatal weeks one, two, three, four and six (n = 81). Sixty-four samples derived from preterm infants and 17 from term infants. On the same timepoints, gastric aspirates were collected from preterm infants (n = 35). The metaproteomes of these infants have been generated and described previously, with the main objective to characterize the bacterial part of the preterm infant’s fecal metaproteomes24.

Enzyme activity analysis

Gastric aspirate samples were thawed on ice, centrifuged (3000 rpm; 4 °C) and the cream layer was removed53. pH of the supernatant was determined (n = 425 samples) and samples were centrifuged to remove any remaining cream fraction (14,000 rpm; 4°C)53. Total protease (n = 433 samples) and pepsin activity (n = 434 samples) were determined using the green fluorescence EnzChek Protease Assay Kit (Molecular Probes, Eugene, OR, USA) in duplicate according to manufacturer’s instructions. For determining total protease activity, 10mM TRIS buffer (pH 7.8) was used and the standard curve was generated using pancreatin from porcine pancreas (Sigma-Aldrich)53. For determining pepsin activity, 10mM HCl buffer with pH 2.2 was used and the standard curve was generated using pepsin from porcine gastric mucosa (Sigma-Aldrich)53.

Sample processing for metaproteomic analysis

Extraction of proteins from feces was performed mechanically by repeated bead beating as described previously (n = 81 samples)24,54. Gastric aspirates were thawed on ice, centrifuged (3000 rpm; 4 °C) and pellet was removed (n = 35 samples). pH of the supernatant was determined and samples were centrifuged to remove debris (max rpm; 4°C). Fecal and gastric proteins were quantified using Qubit Protein Assay Kit on a Qubit 2.0 fluorometer (Life Technologies, Carlsbad, CA, USA) and diluted in PBS to obtain a 3 μg/μl and 5 μg/μl concentration, respectively. In gel digestion procedures, database construction, analysis of MS/MS spectra and protein grouping with MaxQuant 1.3.0.555 were performed as previously described24. In the current study, no additional mapping of initial search results was performed to functionally classify proteins.

Metaproteomic database construction

The metaproteomic database has been constructed by Zwittink et al.24. The in-house database was accommodated to the study group in order to decrease the chance of false identification. Bacterial genera were selected based on their identification in infants by the Human Microbiome Project reference genomes and by 454 pyrosequencing24. Selected bacterial genera were retrieved from Uniprot and their proteomes were merged with proteomes of human, cow, Candida spp. and common contaminants24. In total, 87 bacterial species and 438,537 sequences were captured in the in-house database (contents of the in-house generated protein database are presented in Zwittink et al.24). Taxonomic classification of MS/MS spectra was performed until genus level as there was high protein sequence homology among species of the same genus24.

Data transformation

Eight fecal samples of preterm infants were not collected on correct timepoints and were excluded, resulting in 73 fecal samples (n = 56 preterm samples; n = 17 term samples) and 108 samples in total for further analyses. In Perseus version 1.6.2.156, Label-Free Quantification (LFQ) intensities were 10Log transformed. Resulting NaN values were replaced by the value 4.0, which was lower than minimally observed, and further processed as described before24. These pre-processed LFQ intensities were used for analyses. Intensity Based Absolute Quantification (iBAQ) intensities were used to determine relative abundances of iBAQ intensities (riBAQ) like described previously57.

Growth velocity was calculated based on clinical data according to the exponential model as described by Patel et al.58:

$$\left[ {{\text{1}}000 \times {\text{ln}}\left( {{\text{W}}_{{\text{n}}} /{\text{W}}_{{\text{1}}} } \right)} \right]/\left( {{\text{D}}_{{\text{n}}} - {\text{D}}_{{\text{1}}} } \right)$$

where W is the weight in grams, D is day; 1 indicates the beginning of the time interval and n is the end of the time interval, in days58. In all cases, birth weight was selected as W1.

Statistical analysis

All analyses were performed in R version 3.6.159. In all cases, (adjusted) p-values < 0.05 were considered statistically significant.

Redundancy analysis (RDA) was performed with the vegan package version 2.5-660. Missing values of explanatory variables were omitted and LFQ intensities were mean centered. Forward and reverse automatic stepwise model selection for constrained ordination was performed using ordistep from the vegan package. For robustness, ordiR2step was also performed. Both methods corresponded in selection of significant terms. Resulting p-values were adjusted with p.adjust from the Stats package using FDR correction.

Volcano plots were generated in Perseus version 1.6.2.156. First, distribution of LFQ values was visually inspected per sample for normality. A two-sided Student’s t-test on LFQ intensities of human- and bovine-derived proteins between two groups was performed with an s0 of 1 and a permutation-based FDR with 250 permutations and an FDR of 0.01.

Temporal dynamic plots were generated per protein of interest with the ggplot2 package version 3.3.061. Default non-parametric LOESS regression was performed with a 95% confidence interval to generate a smooth fitted line. Individual data points were additionally plotted.

Spearman correlations of clinical data to bifidobacterial proteins were performed on riBAQ intensities using the ggscatter function of the ggpubr package version 0.3.062. Birth weight was not significantly greater in very preterm infants compared to extremely preterm infants based on a one-sided Mann-Whitney U test (p > 0.99) and were therefore grouped for correlation analyses. Mean riBAQ intensities were calculated per gestational age category and postnatal week. Individual data points as well as a regression line with a 95% confidence interval were plotted.

For bacterial oxidative stress proteins, mean riBAQ intensities were calculated per gestational age category and postnatal week. Of each sample, the sum iBAQ intensities of listed oxidative stress proteins were divided by the sum iBAQ intensities of all bacterial proteins (Supplementary Table S6). Comparison between gestational age groups in specific postnatal weeks was performed with Dunn’s test.

Data availability

The mass spectrometry data have been deposited to the ProteomeXchange Consortium63 via the PRIDE partner repository with dataset identifier PXD005574.

References

  1. Roggero, P., Liotto, N., Menis, C. & Mosca, F. New insights in preterm nutrition. Nutrients 12, 1857 (2020).

    PubMed Central  Article  Google Scholar 

  2. Henderickx, J. G. E., Zwittink, R. D., van Lingen, R. A., Knol, J. & Belzer, C. The preterm gut microbiota: An inconspicuous challenge in nutritional neonatal care. Front. Cell. Infect. Microbiol. 9, 85 (2019).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  3. Kramer, M. S. & Kakuma, R. Optimal duration of exclusive breastfeeding. Cochrane Database Syst. Rev. https://doi.org/10.1002/14651858.CD003517.pub2 (2012).

    Article  PubMed  PubMed Central  Google Scholar 

  4. Commare, C. E. & Tappenden, K. A. Development of the infant intestine: Implications for nutrition support. Nutr. Clin. Pract. 22, 159–173 (2007).

    PubMed  Article  Google Scholar 

  5. Kelly, E. J., Newell, S. J., Brownlee, K. G., Primrose, J. N. & Dear, P. R. Gastric acid secretion in preterm infants. Early Hum. Dev. 35, 215–20 (1993).

    CAS  PubMed  Article  Google Scholar 

  6. Demers-Mathieu, V., Qu, Y., Underwood, M. A., Borghese, R. & Dallas, D. C. Premature infants have lower gastric digestion capacity for human milk proteins than term infants. J. Pediatr. Gastroenterol. Nutr. 66, 816–821 (2018).

    PubMed  PubMed Central  Article  Google Scholar 

  7. De Oliveira, S. C. et al. Impact of human milk pasteurization on gastric digestion in preterm infants: A randomized controlled trial. Am. J. Clin. Nutr. 105, 379–390 (2017).

    PubMed  Article  CAS  Google Scholar 

  8. Dallas, D. C., Underwood, M. A., Zivkovic, A. M. & German, J. B. Digestion of protein in premature and term infants. J. Nutr. Disord. Ther. 2, 112 (2012).

    PubMed  PubMed Central  Article  Google Scholar 

  9. Neu, J. Gastrointestinal development and meeting the nutritional needs of premature infants. Am. J. Clin. Nutr. 85, 629S-634S (2007).

    CAS  PubMed  Article  Google Scholar 

  10. González-González, M. et al. Investigating gut permeability in animal models of disease. Frontiers in Physiology 10, 1962 (2019).

    Article  Google Scholar 

  11. van Elburg, R. M., Fetter, W. P. F., Bunkers, C. M. & Heymans, H. S. A. Intestinal permeability in relation to birth weight and gestational and postnatal age. Arch. Dis. Child. Fetal Neonatal Ed. 88, F52-5 (2003).

    PubMed  PubMed Central  Article  Google Scholar 

  12. Unger, S., Stintzi, A., Shah, P., Mack, D. & O’Connor, D. L. Gut microbiota of the very-low-birth-weight infant. Pediatr. Res. 77, 205–213 (2015).

    PubMed  Article  Google Scholar 

  13. Van Elburg, R. M. et al. Minimal enteral feeding, fetal flow pulsatility and postnatal intestinal permeability in preterm infants with intrauterine growth retardation. Arch. Dis. Child. Fetal Neonatal Ed. 89, F293 (2004).

    PubMed  PubMed Central  Article  Google Scholar 

  14. Taylor, S. N., Basile, L. A., Ebeling, M. & Wagner, C. L. Intestinal permeability in preterm infants by feeding type: Mother’s milk versus formula. Breastfeed. Med. 4, 11–15 (2009).

    PubMed  PubMed Central  Article  Google Scholar 

  15. Saleem, B. et al. Intestinal barrier maturation in very low birthweight infants: Relationship to feeding and antibiotic exposure. J. Pediatr. 183, 31-36.e1 (2017).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  16. Farré, R., Fiorani, M., Rahiman, S. A. & Matteoli, G. Intestinal permeability, inflammation and the role of nutrients. Nutrients 12, 1185 (2020).

  17. Martin, R. et al. Early life: Gut microbiota and immune development in infancy. Benef. Microbes 1, 367–382 (2010).

    CAS  PubMed  Article  Google Scholar 

  18. Halpern, M. D. & Denning, P. W. The role of intestinal epithelial barrier function in the development of NEC. Tissue Barriers 3, e1000707 (2015).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  19. Zhang, X. & Figeys, D. Perspective and guidelines for metaproteomics in microbiome studies. J. Proteome Res. 18, 2370–2380 (2019).

    CAS  PubMed  Article  Google Scholar 

  20. Isaac, N. I., Philippe, D., Nicholas, A., Raoult, D. & Eric, C. Metaproteomics of the human gut microbiota: Challenges and contributions to other OMICS. Clin. Mass Spectrom. 14, 18–30 (2019).

    Article  Google Scholar 

  21. Xiong, W., Brown, C. T., Morowitz, M. J., Banfield, J. F. & Hettich, R. L. Genome-resolved metaproteomic characterization of preterm infant gut microbiota development reveals species-specific metabolic shifts and variabilities during early life. Microbiome 5, 72 (2017).

    PubMed  PubMed Central  Article  Google Scholar 

  22. Young, J. C. et al. Metaproteomics reveals functional shifts in microbial and human proteins during a preterm infant gut colonization case. Proteomics 15, 3463–3473 (2015).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  23. Brown, C. T. et al. Hospitalized premature infants are colonized by related bacterial strains with distinct proteomic profiles. MBio 9 (2018).

  24. Zwittink, R. D. et al. Metaproteomics reveals functional differences in intestinal microbiota development of preterm infants. Mol Cell Proteom 16, 1610–1620 (2017).

    CAS  Article  Google Scholar 

  25. Omari, T. I. & Davidson, G. P. Multipoint measurement of intragastric pH in healthy preterm infants. Arch. Dis. Child. Fetal Neonatal Ed. 88, F517-20 (2003).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  26. Widstrom, A. M. et al. Gastric aspirates of newborn infants: pH, volume and levels of gastrin- and somatostatin-like immunoreactivity. Acta Paediatr. Scand. 77, 502–508 (1988).

    CAS  PubMed  Article  Google Scholar 

  27. Zhang, L., van Dijk, A. D. J. & Hettinga, K. An interactomics overview of the human and bovine milk proteome over lactation. Proteome Sci. 15, 1 (2017).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  28. Molinari, C. E. et al. Proteome mapping of human skim milk proteins in term and preterm milk. J. Proteome Res. 11, 1696–1714 (2012).

    CAS  PubMed  Article  Google Scholar 

  29. Beverly, R. L. et al. Milk peptides survive in vivo gastrointestinal digestion and are excreted in the stool of infants. J. Nutr. 150, 712–721 (2020).

    PubMed  Article  Google Scholar 

  30. Zhu, J. & Dingess, K. A. The functional power of the human milk proteome. Nutrients 11, 1834 (2019).

    CAS  PubMed Central  Article  Google Scholar 

  31. Ng, D. H. C., Klassen, J. R. L., Embleton, N. D. & McGuire, W. Protein hydrolysate versus standard formula for preterm infants. Cochrane Database System. Rev. (2019).

  32. Zwittink, R. D. et al. Association between duration of intravenous antibiotic administration and early-life microbiota development in late-preterm infants. Eur. J. Clin. Microbiol. Infect. Dis. 37, 475–483 (2018).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  33. Zwittink, R. D. et al. Dynamics of the bacterial gut microbiota in preterm and term infants after intravenous amoxicillin/ceftazidime treatment. BMC Pediatr. 20, 195 (2020).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  34. Vestergaard, E. M., Nexo, E., Wendt, A. & Guthmann, F. Trefoil factors in human milk. Early Hum. Dev. 84, 631–635 (2008).

    CAS  PubMed  Article  Google Scholar 

  35. Žurek, J., Kỳr, M., Vavřina, M. & Fedora, M. Trefoil factor 3 as a marker of intestinal cell damage during sepsis. Open Med. 10, 261–266 (2015).

    Article  CAS  Google Scholar 

  36. Baus-Loncar, M. et al. Trefoil factor 2 (TFF2) deficiency in murine digestive tract influences the immune system. Cell. Physiol. Biochem. 16, 31–42 (2005).

    CAS  PubMed  Article  Google Scholar 

  37. Ruchaud-Sparagano, M.-H., Westley, B. R. & May, F. E. B. The trefoil protein TFF1 is bound to MUC5AC in human gastric mucosa. Cell. Mol. Life Sci. 61, 1946–1954 (2004).

    CAS  PubMed  Article  Google Scholar 

  38. Wang, H. B., Wang, P. Y., Wang, X., Wan, Y. L. & Liu, Y. C. Butyrate enhances intestinal epithelial barrier function via up-regulation of tight junction protein claudin-1 transcription. Dig. Dis. Sci. 57, 3126–3135 (2012).

    CAS  PubMed  Article  Google Scholar 

  39. Venegas, D. P. et al. Short chain fatty acids (SCFAs)mediated gut epithelial and immune regulation and its relevance for inflammatory bowel diseases. Front. Immunol. 10, 277 (2019).

    CAS  Article  Google Scholar 

  40. Feng, Y., Wang, Y., Wang, P., Huang, Y. & Wang, F. Short-chain fatty acids manifest stimulative and protective effects on intestinal barrier function through the inhibition of NLRP3 inflammasome and autophagy. Cell. Physiol. Biochem. 49, 190–205 (2018).

    CAS  PubMed  Article  Google Scholar 

  41. Fu, H., Yuan, J. & Gao, H. Microbial oxidative stress response: Novel insights from environmental facultative anaerobic bacteria. Arch. Biochem. Biophys. 584, 28–35 (2015).

    CAS  PubMed  Article  Google Scholar 

  42. Ling, X., Linglong, P., Weixia, D. & Hong, W. Protective effects of bifidobacterium on intestinal barrier function in LPS-induced enterocyte barrier injury of Caco-2 monolayers and in a rat NEC model. PLoS One 11, e0161635 (2016).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  43. Steck, N. et al. Enterococcus faecalis metalloprotease compromises epithelial barrier and contributes to intestinal inflammation. Gastroenterology 141, 959–971 (2011).

    CAS  PubMed  Article  Google Scholar 

  44. Kassim, O. O. et al. Immunoprotective factors in breast milk and sera of mother-infant pairs. Trop. Geogr. Med. 38, 362–366 (1986).

    CAS  PubMed  Google Scholar 

  45. Cole, F. S., Schneeberger, E. E., Lichtenberg, N. A. & Colten, H. R. Complement biosynthesis in human breast-milk macrophages and blood monocytes. Immunology 46, 429–41 (1982).

    CAS  PubMed  PubMed Central  Google Scholar 

  46. Melville, J. M. & Moss, T. J. M. The immune consequences of preterm birth. Front. Neurosci. 7, 79 (2013).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  47. Cacho, N. T. & Lawrence, R. M. Innate immunity and breast milk. Front. Immunol. 8, 584 (2017).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  48. Davidson, L. A. & Lönnerdal, B. Persistence of human milk proteins in the breast-fed infant. Acta Paediatr. Scand. 76, 733–740 (1987).

    CAS  PubMed  Article  Google Scholar 

  49. Lönnerdal, B. Bioactive proteins in human milk—Potential benefits for preterm infants. Clin. Perinatol. 44, 179–191 (2017).

    PubMed  Article  Google Scholar 

  50. Pammi, M. & Suresh, G. Enteral lactoferrin supplementation for prevention of sepsis and necrotizing enterocolitis in preterm infants. Cochrane Database System. Rev. (2020).

  51. Agostoni, C. et al. Breast-feeding: A commentary by the ESPGHAN committee on nutrition. J. Pediatr. Gastroenterol. Nutr. 49, 112–125 (2009).

    PubMed  Article  Google Scholar 

  52. Shulhan, J., Dicken, B., Hartling, L. & Larsen, B. M. Current knowledge of necrotizing enterocolitis in preterm infants and the impact of different types of enteral nutrition products. Adv. Nutr. 8, 80–91 (2017).

    PubMed  PubMed Central  Article  Google Scholar 

  53. Zwittink, R. D. Gastrointestinal function and microbiota development in preterm infants. (Wageningen University, 2018). https://doi.org/10.18174/445530

  54. Kolmeder, C. A. et al. Comparative metaproteomics and diversity analysis of human intestinal microbiota testifies for its temporal stability and expression of core functions. PLoS ONE 7, e29913 (2012).

    CAS  PubMed  PubMed Central  Article  ADS  Google Scholar 

  55. Cox, J. & Mann, M. MaxQuant enables high peptide identification rates, individualized ppb-range mass accuracies and proteome-wide protein quantification. Nat. Biotechnol. 26, 1367–1372 (2008).

    CAS  PubMed  Article  Google Scholar 

  56. Tyanova, S. et al. The perseus computational platform for comprehensive analysis of (prote)omics data. Nat. Methods 13, 731–740 (2016).

    CAS  PubMed  Article  Google Scholar 

  57. Krey, J. F. et al. Accurate label-free protein quantitation with high- and low-resolution mass spectrometers. J. Proteome Res. 13, 1034 (2014).

    CAS  PubMed  Article  Google Scholar 

  58. Patel, A. L., Engstrom, J. L., Meier, P. P. & Kimura, R. E. Accuracy of methods for calculating postnatal growth velocity for extremely low birth weight infants. Pediatrics 116, 1466–1473 (2005).

    PubMed  Article  Google Scholar 

  59. R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/ (2019).

  60. Oksanen, J. et al. vegan: Community Ecology Package. R package version 2.5-6. https://CRAN.R-project.org/package=vegan (2019).

  61. Wickham, H. ggplot2: Elegant Graphics for Data Analysis (Springer, 2016).

    MATH  Book  Google Scholar 

  62. Kassambara, A. ggpubr: ‘ggplot2’ Based Publication Ready Plots. R package version 0.3.0. https://CRAN.R-project.org/package=ggpubr (2020).

  63. Vizcaíno, J. A. et al. 2016 update of the PRIDE database and its related tools. Nucleic Acids Res. 44, 447–456 (2015).

    Article  CAS  Google Scholar 

Download references

Funding

The work was supported by Danone Nutricia Research.

Author information

Authors and Affiliations

Authors

Contributions

J.G.E.H., R.D.Z., I.B.R., R.A.v.L., D.v.Z., R.M.v.E., J.K. and C.B. were involved in study concept and design. R.A.v.L., D.v.Z., L.J.G.J., J.K. and C.B. supervised the study. All authors are responsible for acquisition, analysis or interpretation of data. Statistical analysis was done by J.G.E.H. and R.D.Z., J.G.E.H. and R.D.Z. drafted the manuscript. R.D.Z., I.B.R., R.A.v.L., D.v.Z., S.B., R.M.v.E., J.K. and C.B. critically revised the manuscript for important intellectual content. All authors reviewed the final manuscript. J.K. and C.B. obtained funding. D.v.Z., L.J.G.J. and R.A.v.L. were involved in administrative, technical, or material support.

Corresponding author

Correspondence to Clara Belzer.

Ethics declarations

Competing interests

The authors J.G.E.H. and C.B. receive financial support from Danone Nutricia Research. I.B.R. and J.K. are employees of Danone Nutricia Research. Danone Nutricia Research develops and sells nutritional products for term and preterm infants. The authors R.D.Z., R.A.v.L., D.v.Z., L.J.G.J., S.B. and R.M.v.E. do not have competing interests.

Additional information

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Henderickx, J.G.E., Zwittink, R.D., Renes, I.B. et al. Maturation of the preterm gastrointestinal tract can be defined by host and microbial markers for digestion and barrier defense. Sci Rep 11, 12808 (2021). https://doi.org/10.1038/s41598-021-92222-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1038/s41598-021-92222-y

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing