Scope
The gut microbiota ellagitannin‐metabolizing phenotypes (i.e., urolithin metabotypes UMs) are proposed as potential cardiovascular disease (CVD) risk biomarkers because the host blood lipid ...profile is reported to be associated with specific UMs. However, the link for this association remains unknown so far.
Methods and Results
The gut microbiome of 249 healthy individuals is analyzed using 16S rDNA sequencing analysis. Individuals are also stratified by UMs (UM‐A, UM‐B, and UM‐0) and enterotypes (Bacteroides, Prevotella, and Ruminococcus). Associations of UMs discriminating bacteria with CVD risk markers are investigated. Distribution and gut microbiota composition of UMs and enterotypes are not coincident. Almost half of the discriminating genera between UM‐A and UM‐B belongs to the Coriobacteriaceae family. UM‐B individuals present higher blood cholesterol levels and higher alpha‐diversity, including Coriobacteriaceae family, than those of UM‐A. Coriobacteriaceae, whose abundance is the highest in UM‐B, is positively correlated with total cholesterol, LDL cholesterol, and body mass index.
Conclusions
Results herein suggest that the family Coriobacteriaceae could be a link between individuals’ UMs and their blood cholesterol levels. Further research is needed to explore the mechanisms of the host metabolic phenotype, including cholesterol excretion products, to modulate this bacterial family.
The gut microbiota ellagitannin‐metabolizing phenotypes (UMs) are proposed as potential cardiovascular risk biomarkers because the host blood lipid profile is reported to be associated with specific urolithin metabotypes (UMs). However, the link for this association remains unknown so far. The results of this study suggest that the family Coriobacteriaceae could be a link between individuals’ UMs and their blood cholesterol levels.
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BFBNIB, FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SBCE, SBMB, UL, UM, UPUK
ABSTRACT
Objectives:
Human milk oligosaccharides (HMOs) are considered to play an important role for the infant. As the biotechnical production of some HMOs is feasible today and clinical studies are ...being designed, the individual variation of the total amount of HMOs and of single components is of particular importance. Our objectives were to investigate whether differences exist between term and preterm milk, milk from mothers with secretor or nonsecretor status, and a Lewis blood group (a+b−), (a−b+), or (a−b−) pattern.
Methods:
Within a longitudinal study 96 milk samples (colostrum, transitional, and mature milk) from 32 mothers with preterm (n = 18) and term (n = 14) infants were collected. Delipidated and deproteinized milk was subjected to porous graphitized carbon cartridges followed by high pH anion exchange chromatography with pulsed amperometric detection.
Results:
Quantitation of 16 single HMOs revealed changes during the first weeks of lactation without discrepancies between term and preterm milk. Significant differences occurred between “secretor” and “nonsecretor” milk (median approximately 10 vs 5 g/L total HMOs). Lacto‐N‐tetraose (LNT) and lacto‐N‐fucopentaose (LNFP) II comprised > 55% of the total HMO content in Lewis blood group (a+b−), “nonsecretor” milk and LNT together with 2'fucosyllactose, LNFP I, and difucosyllactose approximately 60% in Lewis (a−b+), “secretor” milk. In Lewis (a−b−), “secretor” milk 80% of oligosaccharides are due to LNT, 2'fucosyllactose, and LNFP I.
Conclusions:
There are marked differences in total HMOs and single HMOs in milk depending on Lewis blood group and secretor status, which need to be taken into account in clinical studies.
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FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SBCE, SBMB, UL, UM, UPUK
BACKGROUND AND OBJECTIVES:Breast milk contains several bioactive factors including human milk oligosaccharides (HMOs) and microbes that shape the infant gut microbiota. HMO profile is determined by ...secretor status; however, their influence on milk microbiota is still uncovered. This study is aimed to determine the impact of the FUT2 genotype on the milk microbiota during the first month of lactation and the association with HMO.
METHODS:Milk microbiota from 25 healthy lactating women was determined by quantitative polymerase chain reaction and 16S gene pyrosequencing. Secretor genotype was obtained by polymerase chain reaction-random fragment length polymorphisms and by HMO identification and quantification.
RESULTS:The most abundant bacteria were Staphylococcus and Streptococcus, followed by Enterobacteriaceae-related bacteria. The predominant HMO in secretor milk samples were 2’FL and lacto-N-fucopentaose I, whereas non-secretor milk was characterized by lacto-N-fucopentaose II and lacto-N-difucohexaose II. Differences in microbiota composition and quantity were found depending on secretor/non-secretor status. Lactobacillus spp, Enterococcus spp, and Streptococcus spp were lower in non-secretor than in secretor samples. Bifidobacterium genus and species were less prevalent in non-secretor samples. Despite no differences on diversity and richness, non-secretor samples had lower Actinobacteria and higher relative abundance of Enterobacteriaceae, Lactobacillaceae, and Staphylococcaceae.
CONCLUSIONS:Maternal secretor status is associated with the human milk microbiota composition and is maintained during the first 4 weeks. Specific associations between milk microbiota, HMO, and secretor status were observed, although the potential biological impact on the neonate remains elusive. Future studies are needed to reveal the early nutrition influence on the reduction of risk of disease.
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FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SBCE, SBMB, UL, UM, UPUK
Obesity, particularly in infants, is becoming a significant public health problem that has reached “epidemic” status worldwide. Obese children have an increased risk of developing obesity‐related ...diseases, such as metabolic syndromes and diabetes, as well as increased risk of mortality and adverse health outcomes later in life. Experimental data show that maternal obesity has negative effects on the offspring's health in the short and long term. Increasing evidence suggests a key role for microbiota in host metabolism and energy harvest, providing novel tools for obesity prevention and management. The maternal environment, including nutrition and microbes, influences the likelihood of developing childhood diseases, which may persist and be exacerbated in adulthood. Maternal obesity and weight gain also influence microbiota composition and activity during pregnancy and lactation. They affect microbial diversity in the gut and breast milk. Such microbial changes may be transferred to the offspring during delivery and also during lactation, affecting infant microbial colonisation and immune system maturation. Thus, an adequate nutritional and microbial environment during the peri‐natal period may provide a window of opportunity to reduce the risk of obesity and overweight in our infants using targeted strategies aimed at modulating the microbiota during early life.
Maternal obesity and weight gain can affect microbial diversity in the gut and breast milk. Such microbial changes may be transferred to the offspring during delivery and also during lactation, affecting infant microbial colonisation and immune system maturation. Thus, an adequate nutritional and microbial environment during the peri‐natal period may provide a window of opportunity to reduce the risk of obesity and overweight in our infants using targeted strategies aimed at modulating the microbiota during early life.
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BFBNIB, FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SBCE, SBMB, UL, UM, UPUK
Breast milk is a complex biofluid that provides nutrients and bioactive agents, including bacteria, for the development of the infant gut microbiota. However, the impact of maternal diet and other ...factors, such as mode of delivery and antibiotic exposure, on the breast milk microbiota has yet to be understood.
This study aimed to examine the association between maternal diet and breast milk microbiota and to ascertain the potential role of mode of delivery and antibiotic exposure.
In a cross-sectional study of the MAMI cohort, breast milk microbiota profiling was assessed in 120 samples from healthy mothers by 16S rRNA gene sequencing. Maternal dietary information was recorded through an FFQ, and clinical characteristics, including mode of delivery, antibiotic exposure, and exclusive breastfeeding, were collected.
Maternal diet was grouped into 2 clusters: Cluster I (high intake of plant protein, fiber, and carbohydrates), and Cluster II (high intake of animal protein and lipids). Breast milk microbiota was shaped by maternal dietary clusters. Staphylococcus and Bifidobacterium were associated with carbohydrate intake whereas the Streptococcus genus was associated with intakes of the n–3 PUFAs EPA and docosapentaenoic acid (22:5ω-3). Mode of delivery and antibiotic exposure influenced breast milk microbiota in a diet cluster–dependent manner. Differences between/among the maternal dietary clusters were found in the milk microbiota of the cesarean-section (C-section)/antibiotic group, whereas no differences were observed in vaginal births. Lower abundances of Lactobacillus, Bacteroides, and Sediminibacterium genera were observed in Cluster II/C-section/antibiotic exposure compared with the other groups.
Maternal diet shapes the composition and diversity of breast milk microbiota, with the most important contributions coming from dietary fiber and both plant and animal protein intakes. The relation between the maternal diet and the milk microbiota needs further research because it has a key impact on infant microbiota development and contributes to infant health outcomes in the short and long term. This trial was registered at clinicaltrials.gov as NCT03552939.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Nutrition during pregnancy plays an important role in maternal-neonatal health. However, the impact of specific dietary components during pregnancy on maternal gut microbiota and the potential ...effects on neonatal microbiota and infant health outcomes in the short term are still limited. A total of 86 mother-neonate pairs were enrolled in this study. Gut microbiota profiling on maternal-neonatal stool samples at birth was carried out by 16S rRNA gene sequencing using Illumina. Maternal dietary information and maternal-neonatal clinical and anthropometric data were recorded during the first 18 months. Longitudinal Body Mass Index (BMI) and Weight-For-Length (WFL) z-score trajectories using the World Health Organization (WHO) curves were obtained. The maternal microbiota was grouped into two distinct microbial clusters characterized by Prevotella (Cluster I) and by the Ruminococcus genus (Cluster II). Higher intakes of total dietary fiber, omega-3 fatty acids, and polyphenols were observed in Cluster II compared to Cluster I. Higher intakes of plant-derived components were associated with a higher presence of the Christensellaceae family, Dehalobacterium and Eubacterium, and lower amounts of the Dialister and Campylobacter species. Maternal microbial clusters were also linked to neonatal microbiota and infant growth in a birth-dependent manner. C-section neonates from Cluster I showed the highest BMI z-score at age 18 months, along with a higher risk of overweight. Longitudinal BMI and WL z-score trajectories from birth to 18 months were shaped by maternal microbial cluster, diet, and birth mode. Diet was an important perinatal factor in early life that may impact maternal microbiota; in particular, fiber, lipids and proteins, and exert a significant effect on the neonatal microbiome and contribute to infant development during the first months of life.
NCDs: Non-Communicable Diseases, C-section: Cesarean Section, BMI: Body Mass Index; WL: Weight for length; EPA: Eicosapentanoic Acid; DHA: Docosahexaenoic Acid; DPA: Docosapentaenoic Acid; SCFA: Short Chain Fatty Acids; MD: Mediterranean Diet; FFQ: Food Frequency Questionnaire; CHI: Calinski Harabasz Index
There is increasing evidence for the interaction between gut microbiome, diet, and health. It is known that dysbiosis is related to disease and that most of the times this imbalances in gut microbial ...populations can be promoted through diet. Western dietary habits, which are characterized by high intakes of calories, animal proteins, saturated fats, and simple sugars have been linked with higher risk of obesity, diabetes, cancer, and cardiovascular disease. However, little is known about the impact of dietary patterns, dietary components, and nutrients on gut microbiota in healthy people. The aim of our study is to determine the effect of nutrient compounds as well as adherence to a dietary pattern, as the Mediterranean diet (MD) on the gut microbiome of healthy adults. Consequently, gut microbiota composition in healthy individuals, may be used as a potential biomarker to identify nutritional habits as well as risk of disease related to these habits. Dietary information from healthy volunteers (
= 27) was recorded using the Food Frequency Questionnaire. Adherence to the MD was measured using the PREDIMED test. Microbiota composition and diversity were obtained by 16S rRNA gene sequencing and specific quantitative polymerase chain reaction. Microbial metabolic activity was determined by quantification of short chain fatty acids (SCFA) on high performance liquid chromatography (HPLC). The results indicated that a higher ratio of Firmicutes-Bacteroidetes was related to lower adherence to the MD, and greater presence of Bacteroidetes was associated with lower animal protein intake. High consumption of animal protein, saturated fats, and sugars affected gut microbiota diversity. A significant higher presence of Christensenellaceae was found in normal-weight individuals compared to those who were overweight. This was also the case in volunteers with greater adherence to the MD compared to those with lower adherence.
,
, and
genera were associated with a BMI <25 and the genus
with a higher PREDIMED score. Higher bifidobacterial counts, and higher total SCFA were related to greater consumption of plant-based nutrients, such as vegetable proteins and polysaccharides. Better adherence to the MD was associated with significantly higher levels of total SCFA. Consequently, diet and specific dietary components could affect microbiota composition, diversity, and activity, which may have an effect on host metabolism by increasing the risk of Western diseases.
•Sourdough inoculated with B. pseudocatenulatum does not affect bread quality.•Replacing wheat flour by whole rye increases bread dietary fibre.•Phytates content in whole rye breads predicts low ...mineral bioavailability.•B. pseudocatenulatum starter culture positively impact on human mineral availability.•Bifidobacterium are GRAS/PQS and has the ability to be used as starter in sourdough.
The goal of this investigation was to develop baking products using Bifidobacterium pseudocatenulatum ATCC27919, a phytase producer, as a starter in sourdough for the production of whole rye-wheat mixed bread. This Bifidobacterium strain contributed to myo-inositol hexakisphosphate (phytate) hydrolysis, resulting in breads with higher mineral availability as was predicted by the phytate/mineral molar ratios, which remained below the inhibitory threshold values for Ca and Zn intestinal absorption. The products with sourdough showed similar technological quality as their homologous without sourdough, with levels of acetic and d/l lactic acids in dough and bread baking significantly higher with the use of sourdough. The overall acceptability scores showed that breads with 25% of whole rye flour were highly accepted regardless of the inclusion of sourdough. This work emphasises that the in situ production of phytase during fermentation by GRAS/QPS microorganisms constitutes a strategy which is particularly appropriate for reducing the phytate contents in products for human consumption.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK
Host genetic factors, such as histo-blood group antigens (HBGAs), are associated with susceptibility to norovirus (NoV) and rotavirus (RV) infections. Recent advances point to the gut microbiome as a ...key player necessary for a viral pathogen to cause infection. In vitro NoV attachment to host cells and resulting infections have been linked to interactions with certain bacterial types in the gut microbiota. We investigated the relationship between host genotype, gut microbiota, and viral infections. Saliva and fecal samples from 35 adult volunteers were analysed for secretor status genotype, the gut microbiota composition by 16S rRNA gene sequencing, and salivary IgA titers to NoV and RV. Higher levels of IgA against NoV and RV were related to secretor-positive status. No significant differences were found between the FUT2 genotype groups, although the multivariate analysis showed a significant impact of host genotype on specific viral susceptibilities in the microbiome composition. A specific link was found between the abundance of certain bacterial groups, such as Faecalibacterium and Ruminococcus spp., and lower IgA titers against NoV and RV. As a conclusion, we can state that there is a link between host genetics, gut microbiota, and susceptibility to viral infections in humans.
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IZUM, KILJ, NUK, PILJ, PNG, SAZU, UL, UM, UPUK
Walnuts are rich in polyphenols ellagitannins, modulate gut microbiota (GM), and exert health benefits after long-term consumption. The metabolism of ellagitannins to urolithins via GM depends on ...urolithin metabotypes (UM-A, -B, or -0), which have been reported to predict host responsiveness to a polyphenol-rich intervention. This study aims to assess whether UMs were associated with differential GM modulation after short-term walnut consumption. In this study, 27 healthy individuals consumed 33 g of peeled raw walnuts over three days. GM profiling was determined using 16S rRNA illumina sequencing and specific real-time quantitative polymerase chain reactions (qPCRs), as well as microbial activity using short-chain fatty acids analysis in stool samples. UMs stratification of volunteers was assessed using ultra performance liquid chromatography-electro spray ionization-quadrupole time of flight-mass spectrometry (UPLC-ESI-QTOF-MS) analysis of urolithins in urine samples. The gut microbiota associated with UM-B was more sensitive to the walnut intervention.
, and members of the Coriobacteriaceae family, including
, increased exclusively in UM-B subjects, while some members of the Lachnospiraceae family decreased in UM-A individuals.
and
increased in both UMs and higher acetate and propionate production resulted after walnuts intake. Our results show that walnuts consumption after only three days modulates GM in a urolithin metabotype-depending manner and increases the production of short-chain fatty acids (SCFA).
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