Dataset Information

Metabolomic and Metataxonomic Fingerprinting of Human Milk Suggests Compositional Stability over a Natural Term of Breastfeeding to 24 Months

ABSTRACT: Sparse data exist regarding the normal range of composition of maternal milk beyond the first postnatal weeks. This single timepoint, observational study in collaboration with the 'Parenting Science Gang' citizen science group evaluated the metabolite and bacterial composition of human milk from 62 participants (infants aged 3-48 months), nearly 3 years longer than previous studies. We utilised rapid evaporative ionisation mass spectrometry (REIMS) for metabolic fingerprinting and 16S rRNA gene metataxonomics for microbiome composition analysis. Milk expression volumes were significantly lower beyond 24 months of lactation, but there were no corresponding changes in bacterial load, composition, or whole-scale metabolomic fingerprint. Some individual metabolite features (~14%) showed altered abundances in nursling age groups above 24 months. Neither milk expression method nor nursling sex affected metabolite and metataxonomic fingerprints. Self-reported lifestyle factors, including diet and physical traits, had minimal impact on metabolite and metataxonomic fingerprints. Our findings suggest remarkable consistency in human milk composition over natural-term lactation. The results add to previous studies suggesting that milk donation can continue up to 24 months postnatally. Future longitudinal studies will confirm the inter-individual and temporal nature of compositional variations and the use of donor milk as a personalised therapeutic.

INSTRUMENT(S): Direct infusion MS - positive, Direct infusion MS -

SUBMITTER: Simon Cameron

PROVIDER: MTBLS1370 | MetaboLights | 2022-02-11

REPOSITORIES: MetaboLights

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	MTBLS1370	Other
	FILES	Other
	a_MTBLS1370_NEG_DI-MS_metabolite_profiling.txt	Txt
	a_MTBLS1370_POS_DI-MS_metabolite_profiling.txt	Txt
	i_Investigation.txt	Txt

Items per page:

1 - 5 of 8

Publications

Metabolomic and Metataxonomic Fingerprinting of Human Milk Suggests Compositional Stability over a Natural Term of Breastfeeding to 24 Months.

Shenker Natalie S NS Perdones-Montero Alvaro A Burke Adam A Stickland Sarah S McDonald Julie A K JAK Alexander-Hardiman Kate K Flanagan James J Takats Zoltan Z Cameron Simon J S SJS

Nutrients 20201111 11

Sparse data exist regarding the normal range of composition of maternal milk beyond the first postnatal weeks. This single timepoint, observational study in collaboration with the 'Parenting Science Gang' citizen science group evaluated the metabolite and bacterial composition of human milk from 62 participants (infants aged 3-48 months), nearly 3 years longer than previous studies. We utilised rapid evaporative ionisation mass spectrometry (REIMS) for metabolic fingerprinting and 16S rRNA gene ...[more]

PMID: 33187120

Similar Datasets

Project description:A better understanding of impacts of nutrition during pre- weaning and post- weaning period is needed in order to design feeding strategies that optimize lifetime productivity. Therefore, the objectives of the present study were three-fold: to evaluate nutrition-induced changes of 1) growth from birth to first calving in heifers, 2) its impact on first-lactation milk yield and composition and 3) evaluate nutrition-induced changes in gene expression of mammary gland in Parda de Montaña heifers. Sixteen Parda de Montaña heifers, were randomly but equally assigned at birth to one of four management strategies, in a 2 x 2 factorial experiment. In the pre-weaning period (0-6 months of age), all the heifers suckled their dams twice daily for 30 minutes. Half of the heifers (n=8) were supplemented a starter concentrate (CON) while the other half only had access to their dam’s milk (NOCON). In the post-weaning period (6-15 months), half of the heifers of each pre-weaning feeding treatment received alfalfa hay ad libitum plus concentrates, with a different forage to concentrate ratio (F:C), 67:33 (67F:33C) or 87:13 (87F:13C). Plasma metabolites and hormones concentration at weaning was determined, and cows and their calves weigh was recorded once/week throughout the first lactation, and their ADG was calculated. Milk composition and quantity was determined during the first 4 months of lactation. Mammary tissue samples were taken by biopsy at weaning at the end of first lactation. RNA mammary gland samples (n=16, 8 samples from each treatment) were analyzed by using Bovine Gene 1.1 ST Array Strip. The results of the present study showed that heifers that received concentrate during pre- weaning period had greater BW at weaning when compared to NOCON heifers. Concentrate supplementation during the pre-weaning period increased heifers’ weight gains in the pre-weaning period (P < 0.001) but decreased weight gains in the post-weaning period (P < 0.01) and during pregnancy (P < 0.05). In addition, CON cows had lower milk production throughout the 4 months of the first lactation when compared with NOCON (P < 0.01). Moreover CON cows had decreased milk crude protein, crude fat, lactose, extract and casein content in their first lactation. In addition, cows that received concentrate during pre- weaning period showed greater SCC at the third and fourth month of lactation. Different gene expression patterns were found between CON and NOCON animals. Overall, concentrate supplementation at pre- weaning resulted in up –regulation of genes related with immune response and chemokine activity, suggesting that these animals might be in a compromised immune status, probably being at greater risk to develop mastitis in the later periods.

Project description:Feed restriction during the early life of ewe lambs (F0) triggers the transfer of epigenetic marks to the next generation, thus impairing the reproductive performance of F1. However, the effects of this factor on milk production and composition, including its abundance in regulatory miRNA (many of which are contained in exosomes, small vesicles of endocytic origin that play a role in the modulation of immune response of the offspring), has not been tested so far. Therefore, in this study, the replacement ewe lambs (F0) obtained in a previous project (a group of ewes fed milk replacer ad libitum –ADL– vs. a group of ewes restricted –RES– to 62.5% the intake level of milk replacer during the suckling period) were raised under similar post-weaning conditions and mated to obtain the progeny (F1). The F1 dairy ewes were also mated, and six of these F1 dairy ewes were selected and divided into two groups: the F1-ADL group (n=3) born from F0-ADL and the F1-RES group (n=3), born from F0-RES animals. Milk production was controlled during the peak lactation period, and milk samples were obtained for each gland separately to measure chemical composition, somatic cell counts, and bacteriology. Exosomes were also isolated for each gland separately to define the miRNA content. The miRNAome was determined following a Next Generation Sequencing approach. The first preliminary results indicate significant differences in the abundance of five miRNAs in the milk obtained during the peak of lactation. Thus, oar-miR-150, oar-miR-221, oar-miR-23a, oar-miR-27a, oar-miR-376c were all down modulated in F1-RES when compared to F0-ADL. Most of these miRNAs have been found to play a role in biological functions such as development, apoptosis, muscle differentiation, reproduction, or milk production. Moreover, somatic cell count (SCC) was reduced significantly in milk samples during the peak of lactation of F1-RES dairy sheep. No significant differences were found in milk production, the chemical composition of milk (fat, protein, lactase), or bacteriology (colony forming units, CFU). This study's results provide some evidence of the effects of nutritional programming events on the milk's bioactive components.