Despite scientific advances it remains difficult to predict the risk and benefit balance of immune interventions. Since a few years, network models have been built based on comprehensive datasets at ...multiple molecular/cellular levels (genes, gene products, metabolic intermediates, macromolecules, cells) to illuminate functional and structural relationships. Here we used a systems biology approach to identify key immune pathways involved in immune health endpoints and rank crucial candidate biomarkers to predict adverse and beneficial effects of nutritional immune interventions. First, a literature search was performed to select the molecular and cellular dynamics involved in hypersensitivity, autoimmunity and resistance to infection and cancer. Thereafter, molecular interaction between molecules and immune health endpoints was defined by connecting their relations by using database information. MeSH terms related to the immune health endpoints were selected resulting in the following selection: hypersensitivity (D006967: 184 genes), autoimmunity (D001327: 564 genes), infection (parasitic, bacterial, fungal and viral: 357 genes), and cancer (D009369: 3173 genes). In addition, a sequence of key processes was determined using Gene Ontology which drives the development of immune health disturbances resulting in the following selection: hypersensitivity (164 processes), autoimmunity (203 processes), infection (187 processes), and cancer (309 processes). Finally, an evaluation of the genes for each of the immune health endpoints was performed, which indicated that many genes played a role in multiple immune health endpoints, but also unique genes were observed for each immune health endpoint. This approach helps to build a screening/prediction tool which indicates the interaction of chemicals or food substances with immune health endpoint-related genes and suggests candidate biomarkers to evaluate risks and benefits. Several anti-cancer drugs and omega 3 fatty acids were evaluated as
test cases. To conclude, here we provide a systems biology approach to identify genes/molecules and their interaction with immune related disorders. Our examples illustrate that the prediction with our systems biology approach is promising and can be used to find both negatively and positively correlated interactions. This enables identification of candidate biomarkers to monitor safety and efficacy of therapeutic immune interventions.
A healthy immune status is strongly conditioned during early life stages. Insights into the molecular drivers of early life immune development and function are prerequisite to identify strategies to ...enhance immune health. Even though several starting points for targeted immune modulation have been identified and are being developed into prophylactic or therapeutic approaches, there is no regulatory guidance on how to assess the risk and benefit balance of such interventions. Six early life immune causal networks, each compromising a different time period in early life (the 1st, 2nd, 3rd trimester of gestations, birth, newborn, and infant period), were generated. Thereto information was extracted and structured from early life literature using the automated text mining and machine learning tool: Integrated Network and Dynamical Reasoning Assembler (INDRA). The tool identified relevant entities (e.g., genes/proteins/metabolites/processes/diseases), extracted causal relationships among these entities, and assembled them into early life-immune causal networks. These causal early life immune networks were denoised using GeneMania, enriched with data from the gene-disease association database DisGeNET and Gene Ontology resource tools (GO/GO-SLIM), inferred missing relationships and added expert knowledge to generate information-dense early life immune networks. Analysis of the six early life immune networks by PageRank, not only confirmed the central role of the "commonly used immune markers" (e.g., chemokines, interleukins,
, and other immune activation regulators (e.g.,
), but also identified less obvious candidates (e.g.,
). Comparison of the different early life periods resulted in the prediction of 11 key early life genes overlapping all early life periods (
, and
, and also genes that were only described in certain early life period(s). Concluding, here we describe a network-based approach that provides a science-based and systematical method to explore the functional development of the early life immune system through time. This systems approach aids the generation of a testing strategy for the safety and efficacy of early life immune modulation by predicting the key candidate markers during different phases of early life immune development.
BackgroundHuman milk is rich in osteopontin (OPN), which has immunomodulatory functions.MethodsIn a randomized controlled trial, standard formula (SF) and the same formula with 65 mg of OPN/L (F65) ...or 130 mg of OPN/L (F130), representing ~50 and 100% of the OPN concentration in human milk, were compared. We examined frequencies and composition of peripheral blood immune cells by four-color immunoflow cytometry of formula-fed infants at ages 1, 4, and 6 months, and compared them with a breastfed (BF) reference group.ResultsThe F130 group had increased T-cell proportions compared with the SF (P=0.036, average effect size 0.51) and F65 groups (P=0.008, average effect size 0.65). Compared with the BF group, the monocyte proportions were increased in the F65 (P=0.001, average effect size 0.59) and F130 (P=0.006, average effect size 0.50) groups, but were comparable among the formula groups.ConclusionOPN in an infant formula at a concentration close to that of human milk increased the proportion of circulating T cells compared with both SF and formula with added OPN at ~50% of the concentration in human milk. This suggests that OPN may favorably influence immune ontogeny in infancy and that the effects appear to be dose-dependent.
High protein intake during infancy results in accelerated early weight gain and potentially later obesity. The aim of this follow-up study at 12 months was to evaluate if modified low-protein ...formulas fed during early infancy have long-term effects on growth and metabolism. In a double-blinded RCT, the ALFoNS study, 245 healthy-term infants received low-protein formulas with either alpha-lactalbumin-enriched whey (α-lac-EW; 1.75 g protein/100 kcal), casein glycomacropeptide-reduced whey (CGMP-RW; 1.76 g protein/100 kcal), or standard infant formula (SF; 2.2 g protein/100 kcal) between 2 and 6 months of age. Breastfed (BF) infants served as a reference. At 12 months, anthropometrics and dietary intake were assessed, and serum was analyzed for insulin, C-peptide, and insulin-like growth factor 1 (IGF-1). Weight gain between 6 and 12 months and BMI at 12 months were higher in the SF than in the BF infants (
= 0.019;
< 0.001, respectively), but were not significantly different between the low-protein formula groups and the BF group. S-insulin and C-peptide were higher in the SF than in the BF group (
< 0.001;
= 0.003, respectively), but more alike in the low-protein formula groups and the BF group. Serum IGF-1 at 12 months was similar in all study groups. Conclusion: Feeding modified low-protein formula during early infancy seems to reduce insulin resistance, resulting in more similar growth, serum insulin, and C-peptide concentrations to BF infants at 6-months post intervention. Feeding modified low-protein formula during early infancy results in more similar growth, serum insulin, and C-peptide concentrations to BF infants 6-months post intervention, probably due to reduced insulin resistance in the low-protein groups.
Protein intake is higher in formula-fed than in breast-fed infants during infancy, which may lead to an increased risk of being overweight. Applying alpha-lactalbumin (α-lac)-enriched whey or casein ...glycomacropeptide (CGMP)-reduced whey to infant formula may enable further reduction of formula protein by improving the amino acid profile. Growth, nutrient intake, and protein metabolites were evaluated in a randomized, prospective, double-blinded intervention trial where term infants received standard formula (SF:2.2 g protein/100 kcal;
= 83) or low-protein formulas with α-lac-enriched whey (α-lac-EW;1.75 g protein/100 kcal;
= 82) or CGMP-reduced whey (CGMP-RW;1.76 g protein/100 kcal;
= 80) from 2 to 6 months. Breast-fed infants (BF;
= 83) served as reference. Except between 4 and 6 months, when weight gain did not differ between α-lac-EW and BF (
= 0.16), weight gain was higher in all formula groups compared to BF. Blood urea nitrogen did not differ between low-protein formula groups and BF during intervention, but was lower than in SF. Essential amino acids were similar or higher in α-lac-EW and CGMP-RW compared to BF. Conclusion: Low-protein formulas enriched with α-lac-enriched or CGMP-reduced whey supports adequate growth, with more similar weight gain in α-lac-enriched formula group and BF, and with metabolic profiles closer to that of BF infants.
β-casein is the main casein constituent in human milk (HM) and a source of bioactive peptides for the developing gastrointestinal tract and immune system. Infant formulas contain less β-casein than ...HM, but whether different concentrations of β-casein affect tolerability and gut and immune maturation in newborns is unknown.
Using near-term piglets as a model for newborn infants, we investigated whether increasing the β-casein fraction in bovine-based formula is clinically safe and may improve gut and immune maturation.
Three groups of near-term pigs (96% gestation) were fed formula with bovine casein and whey protein (ratio 40:60): 1) standard skim milk casein (BCN-standard, 35% β-casein of total casein, n = 18); 2) β-casein enrichment to HM concentrations (BCN-medium, 65%, n = 19); and 3) high β-casein enrichment (BCN-high, 91%, n = 19). A reference group was fed 100% whey protein concentrate (WPC) as protein (WPC, n = 18). Intestinal and immune parameters were assessed before and after euthanasia on day 5.
Clinical variables (mortality, activity, body growth, and diarrhea) were similar among the groups, and no differences in intestinal or biochemical parameters were observed between BCN-standard and BCN-medium pigs. However, pigs receiving high amounts of β-casein (BCN-high) had lower small intestine weight and tended to have more intestinal complications (highest gut pathology score, permeability, and interleukin-8) than the other groups, particularly those receiving no casein (WPC pigs). Blood lymphocyte, thrombocyte, and reticulocyte counts were increased with higher β-casein, whereas eosinophil counts were reduced. In vitro blood immune cell responses were similar among groups.
β-casein enrichment of bovine-based formula to HM concentrations is clinically safe, as judged from newborn, near-term pigs, whereas no additional benefits to gut maturation were observed. However, excessive β-casein supplementation, beyond concentrations in HM, may potentially induce gut inflammation together with increased blood cell populations relative to natural β-casein concentrations or pure whey-based formula.
ABSTRACT
Objective:
The aim of the present study was to evaluate the efficacy of a milkfat globule membrane (MFGM)–enriched protein fraction in a complementary food, on diarrhea, anemia, and ...micronutrient status.
Subjects and Methods:
A randomized, double‐blind controlled design to study 550 infants, 6 to 11 months old, who received daily for 6 months a complementary food (40 g/day) with the protein source being either the MFGM protein fraction or skim milk proteins (control). Health and nutritional status of infants were examined monthly in the outpatient clinic; product intake, food patterns, and diarrhea morbidity were assessed by home visits twice per week. Hemoglobin and micronutrient status were measured at 0 and 6 months of intervention. Results are presented as the entire group and as 6 to 8 and 9 to 11 months subgroups.
Results:
A total of 499 infants completed the study. Global prevalence of diarrhea was 3.84% and 4.37% in the MFGM group and control group, respectively (P < 0.05). Consumption of the MFGM protein fraction reduced episodes of bloody diarrhea (odds ratio 0.54; 95% confidence interval 0.31–0.93, P = 0.025) adjusting for anemia and potable water facilities as covariates. There were no differences between groups in anemia, serum ferritin, zinc, or folate.
Conclusions:
Addition of an MFGM‐enriched protein fraction to complementary food had beneficial effects on diarrhea in infants and may thus help to improve the health of vulnerable populations.
Protein intake is higher in formula-fed than in breast-fed infants during infancy, which may lead to an increased risk of being overweight. Applying alpha-lactalbumin (α-lac)-enriched whey or casein ...glycomacropeptide (CGMP)-reduced whey to infant formula may enable further reduction of formula protein by improving the amino acid profile. Growth, nutrient intake, and protein metabolites were evaluated in a randomized, prospective, double-blinded intervention trial where term infants received standard formula (SF:2.2 g protein/100 kcal; n = 83) or low-protein formulas with α-lac-enriched whey (α-lac-EW;1.75 g protein/100 kcal; n = 82) or CGMP-reduced whey (CGMP-RW;1.76 g protein/100 kcal; n = 80) from 2 to 6 months. Breast-fed infants (BF; n = 83) served as reference. Except between 4 and 6 months, when weight gain did not differ between α-lac-EW and BF (p = 0.16), weight gain was higher in all formula groups compared to BF. Blood urea nitrogen did not differ between low-protein formula groups and BF during intervention, but was lower than in SF. Essential amino acids were similar or higher in α-lac-EW and CGMP-RW compared to BF. Conclusion: Low-protein formulas enriched with α-lac-enriched or CGMP-reduced whey supports adequate growth, with more similar weight gain in α-lac-enriched formula group and BF, and with metabolic profiles closer to that of BF infants.
Background: Osteopontin (OPN) is a multifunctional protein found in human milk at high concentration.
Objective: The impact of supplemental bovine OPN on growth, body composition, and the jejunal ...transcriptome was assessed.
Methods: Newborn rhesus monkeys were randomly assigned to be breastfed (n = 4) or to receive formula formula fed (FF), n = 6 or formula supplemented with 125 mg/L of bovine OPN (bOPN, n = 6) for 3 mo. Jejunal mRNA was extracted and subjected to microarray analysis.
Results: Growth was similar among all the treatment groups, but breastfed monkeys were ∼25% leaner at 3 mo. Pairwise comparisons demonstrated that 1017 genes were differentially expressed between breastfed and FF groups, 217 between breastfed and bOPN groups, and 119 between FF and bOPN groups. The data were also analyzed with the use of weighted gene coexpression network analysis, which revealed 6 modules of coexpressed genes that differed among the 3 treatments. Nearly 50% of genes were assigned to one module in which breastfed differed from FF and bOPN expression was intermediate. This module was enriched for genes related to cell adhesion and motility, cytoskeletal remodeling, wingless and integration site signaling, and neuronal development. Most of these canonical pathways centered on integrins, which are receptors for OPN.
Conclusions: The intestinal transcriptome of breastfed and FF monkeys differs, but bovine OPN at levels similar to human milk shifts gene expression profiles to be more similar to breastfed monkeys.
•Lacprodan® OPN-10 was not genotoxic when tested in vitro and in vivo.•Consumption of Lacprodan® OPN-10 for 91days at up to 2.0% of the diet was not toxic.•Lacprodan® OPN-10 was not teratogenic when ...administered to pregnant Wistar rats at days 7–16 of gestation.•The No Observed Adverse Effect Level (NOAEL) in rats was at 2.0% of the diet in a thirteen-week study.
Lacprodan® OPN-10 is a proprietary whey-based protein product that contains bovine-derived osteopontin (OPN), found in human milk and other bodily tissues. In vitro genotoxicity tests conducted according to accepted guidelines at up to 5000μg/plate OPN failed to induce genetic mutations in Salmonella typhimurium strains and Escherichia coli strain and did not induce chromosomal aberrations or cytotoxicity in human lymphocytes. Administration of an acute dose of Lacprodan® OPN-10 (2300mg/kg body weight) to male and female mice did not induce chromosomal damage or mitotic apparatus damage to erythroblasts from bone marrow. Lacprodan® OPN-10 was evaluated in a 13-week oral toxicity study in which rats were fed diets containing 0.5%, 1.0% and 2.0% Lacprodan® OPN-10. No test-article-related clinical observations or toxicological effects on body or organ weights, food consumption, ophthalmic effects, locomotor activity, hematology, clinical chemistry, urinalysis, or pathology were identified. In a teratogenicity study, administration of Lacprodan® OPN-10 up to 2500mg/kgbw/day via gavage to pregnant rats had no effect on dams or pups. The No Observed Adverse Effect Level (NOAEL) for Lacprodan® OPN-10 in the 13-week toxicity study was 2.0% of the diet (equivalent to 1208mg/kgbw/day in male rats and 1272mg/kgbw/day in female rats).
PDF
