Comparison of Two Approaches for the Metataxonomic Analysis of the Human Milk Microbiome

Associations of Maternal Salivary Cortisol and Psychological Symptoms With Human Milk's Microbiome Composition

OBJECTIVE

Human milk (HM) is considered the best source of infant nutrition with many benefits for the infant. However, pregnancy changes can lead to increased stress in some women, which might affect HM composition. Although studies have demonstrated a link between maternal psychopathology and child development, it remains unclear how maternal psychobiological changes can be intergenerationally transmitted. We aimed to investigate the associations of maternal stress, depressive symptoms, and anxiety symptoms with the HM microbiome; to analyze these parameters in relation to HM glucocorticoid concentrations; and to explore the influence of HM glucocorticoids on HM bacterial composition.

METHODS

One hundred women completed psychological questionnaires (e.g., EPDS, STAI, GAS) at 34-36 weeks' gestation and in the early postpartum period and provided saliva at 34-36 and 38 weeks' gestation. HM samples were collected in the early postpartum. Microbiota were analyzed using 16S rRNA amplicon sequencing.

RESULTS

Birth anxiety was negatively correlated with Alphaproteobacteria (τ = -0.20, FDR = 0.01), whereas in the postpartum period, anxiety symptoms were negatively correlated with different taxa. The sum of postpartum-related symptoms was linked to lower Propionibacteriales. Salivary cortisol AUCg at 34-36 weeks was negatively correlated with Stenotrophomonas (τ = -0.24, FDR = 0.05), whereas HM cortisol was positively correlated with Streptococcus mitis (τ = 0.26, FDR = 0.03) and Gemella haemolysans (τ = 0.24, FDR = 0.02). No associations emerged between psychobiological parameters and HM glucocorticoids.

CONCLUSIONS

Higher perinatal psychological symptoms and prenatal salivary cortisol AUCg were associated with lower relative abundances of different bacteria, whereas higher HM cortisol was linked to higher Gemella and Streptococcus. These findings suggest a negative association between high maternal psychobiological symptoms and relative abundances of the milk microbiota.

Utility of dairy microbiome as a tool for authentication and traceability

Milk microbiome contributes substantially to the formation of specific organoleptic and physicochemical characteristics of dairy products. The assessment of the composition and abundance of milk microbiota is a challenging task strongly influenced by many environmental factors. Specific dairy products may be designated by the Protected Designation of Origin (PDO) and Protected Geographical Indication (PGI) labeling, which however, occasionally fail to differentiate them according to specific quality characteristics, which are defined by different microbiota-driven reactions. Combining the above limitations, the scope of the present study, was to summarize the existing information toward three main issues. First, to assess the influence level of the diet type and grazing to rumen-GI tract, mammary gland, and udder microbiome formation in ruminants. Second, to discuss the factors affecting milk microbiota, as well as the effect of the endo-mammary route on milk microbial taxa. Lastly, to evaluate "milk microbiome" as a tool for product differentiation, according to origin, which will contribute to a more robust PDO and PGI labeling. Although the limitations are still a matter of fact (especially considering the sample collection, process, evaluation, and avoidance of its contamination), significant progress has been made, regarding the identification of the factors affecting dairy products' microbiota and its core composition. In conclusion, although so far not totally efficient in dairy products molecular identification, with the progress in soil, water, plant, and animal host's microbiota assembly's characterization, microbiomics could provide a powerful tool for authentication and traceability of dairy products.

The Impact of the Human Milk Microbiota in the Prevention of Disease and Infant Health

Background: Human milk is recognized as an ideal food for newborns and infants owing to the presence of various nutritive factors, including healthy bacteria. Aim/Objective: This review aimed to understand the effects of human milk microbiota in both the prevention of disease and the health of infants. Methods: Data were obtained from PubMed, Scopus, Web of Science, clinical trial registries, Dergipark, and Türk Atıf Dizini up to February 2023 without language restrictions. Results: It is considered that the first human milk microbiota ingested by the newborn creates the initial microbiome of the gut system, which in turn influences the development and maturation of immunity. Bacteria present in human milk modulate the anti-inflammatory response by releasing certain cytokines, protecting the newborn against certain infections. Therefore, certain bacterial strains isolated from human milk could serve as potential probiotics for various therapeutic applications. Conclusions: In this review, the origin and significance of human milk bacteria have been highlighted along with certain factors influencing the composition of human milk microbiota. In addition, it also summarizes the health benefits of human milk as a protective agent against certain diseases and ailments.

Altered Faecal Microbiota Composition and Structure of Ghanaian Children with Acute Gastroenteritis

Acute gastroenteritis (AGE) is a disease of global public health importance. Recent studies show that children with AGE have an altered gut microbiota relative to non-AGE controls. Yet, how the gut microbiota differs in Ghanaian children with and without AGE remains unclear. Here, we explore the 16S rRNA gene-based faecal microbiota profiles of Ghanaian children five years of age and younger, comprising 57 AGE cases and 50 healthy controls. We found that AGE cases were associated with lower microbial diversity and altered microbial sequence profiles relative to the controls. The faecal microbiota of AGE cases was enriched for disease-associated bacterial genera, including Enterococcus, Streptococcus, and Staphylococcus. In contrast, the faecal microbiota of controls was enriched for potentially beneficial genera, including Faecalibacterium, Prevotella, Ruminococcus, and Bacteroides. Lastly, distinct microbial correlation network characteristics were observed between AGE cases and controls, thereby supporting broad differences in faecal microbiota structure. Altogether, we show that the faecal microbiota of Ghanaian children with AGE differ from controls and are enriched for bacterial genera increasingly associated with diseases.

Methodological approaches for studying the human milk microbiome

Human milk contains a low-biomass, low-diversity microbiome, consisting largely of bacteria. This community is of great research interest in the context of infant health and maternal and mammary health. However, this sample type presents many unique methodological challenges. In particular, there are numerous technical considerations relating to sample collection and storage, DNA extraction and sequencing, viability, and contamination. Failure to properly address these challenges may lead to distortion of bacterial DNA profiles generated from human milk samples, ultimately leading to spurious conclusions. Here, these technical challenges are discussed, and various methodological approaches used to address them are analyzed. Data were collected from studies in which a breadth of methodological approaches were used, and recommendations for robust and reproducible analysis of the human milk microbiome are proposed. Such methods will ensure high-quality data are produced in this field, ultimately supporting better research outcomes for mothers and infants.

Firmicutes, Bacteroidetes and Actinobacteria in Human Milk and Maternal Adiposity

The main objective was to explore the relationship between the microbiota of human milk and adiposity in Mexican mothers during the first lactation stage. Methods: Seventy lactating women were included. Adiposity by anthropometric measurements and by bioelectric impedance was obtained. The donation of human milk was requested, from which bacterial DNA was extracted and qPCR of the 16S region was performed. The Mann–Whitney U test, Spearman and Pearson correlations, and multiple linear regressions models were also calculated. Results: The median percentage of Bacteroidetes had a direct and significant correlation with normal adiposity, current BMI, waist circumference, and body fat percentage. The correlation with current BMI became significantly inverse in women with BMI ≥ 25. In women with normal BMI, the percentage of Actinobacteria showed a direct and significant correlation with current BMI, waist circumference, and percentage of body fat. Multiple linear regressions showed that pre-pregnancy BMI was the variable with the highest predictive value with the Bacteroidetes phyla in normal BMI and in BMI ≥ 25. Conclusions: the adiposity of the woman before pregnancy and during lactation would have an important effect on the abundance of Bacteroidetes and Actinobacteria in human milk.

The bovine milk microbiome - an evolving science

Improved access to genome based, culture independent methods has generated great interest in defining the bovine milk microbiome. Several comprehensive reviews of this subject have recently been published and the purpose of this short review is to consolidate current understanding of the relevance and biological significance of this emerging topic. In contrast to mucosal organs that contain rich and well-characterized culturable and nonculturable microbial communities, milk obtained from the healthy bovine mammary gland usually contains few or no viable bacteria. The low bacterial biomass of milk has created methodological challenges that have resulted in considerable variability in results of studies that have used genomic methods to define the microbiota of milk obtained from healthy or diseased mammary glands. While genomes from several bacterial genera are routinely identified from samples of milk, teat skin and the teat canal, the viability, origin, and function of these organisms is uncertain as environmental factors have been shown to strongly influence the composition of these bacterial populations. Possible sources of microbial DNA include bacteria introduced from skin or the environment, bacteria trapped in teat canal keratin or bacteria engulfed by phagocytes. Researchers have not achieved consensus about key concepts such as the presence of a core commensal milk microbiome or dysbiosis as part of a causal pathway disrupting udder health. Understanding of the bovine milk microbiome has been greatly impeded by a lack of standardized methods used to collect, process, and assess bovine milk samples. Sample collection is a critical first step that will determine the validity of results. To minimize contamination with external sources of bacterial DNA, teat sanitation methods used for collection of milk samples that will be subjected to extraction and amplification of bacteria DNA should far exceed aseptic techniques used for collection of milk samples that will be submitted for microbiological culture. A number of laboratory issues have yet to be resolved. Contamination of low biomass samples with bacterial DNA from laboratory reagents is a well-known issue that has affected results of studies using bovine milk samples and results of sequencing of negative controls should always be reported. Replication of experiments has rarely been performed and consistency in results are lacking. While progress has been made, standardization of methods and replication using samples originating from differing farm conditions are critically needed to solidify knowledge of this emerging topic.

Novel methods of microbiome analysis in the food industry

The study of the food microbiome has gained considerable interest in recent years, mainly due to the wide range of applications that can be derived from the analysis of metagenomes. Among these applications, it is worth mentioning the possibility of using metagenomic analyses to determine food authenticity, to assess the microbiological safety of foods thanks to the detection and tracking of pathogens, antibiotic resistance genes and other undesirable traits, as well to identify the microorganisms responsible for food processing defects. Metataxonomics and metagenomics are currently the gold standard methodologies to explore the full potential of metagenomes in the food industry. However, there are still a number of challenges that must be solved in order to implement these methods routinely in food chain monitoring, and for the regulatory agencies to take them into account in their opinions. These challenges include the difficulties of analysing foods and food-related environments with a low microbial load, the lack of validated bioinformatics pipelines adapted to food microbiomes and the difficulty of assessing the viability of the detected microorganisms. This review summarizes the methods of microbiome analysis that have been used, so far, in foods and food-related environments, with a specific focus on those involving Next-Generation Sequencing technologies.