16S rRNA gene amplification and maternal factors
Ontology highlight
ABSTRACT:
PROVIDER: EGAS00001003044 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:Milk microRNAs (miRNAs) encapsulated in extracellular vesicles (EVs) are a novel class of bioactive food compounds. Milk produced by cows with subclinical mastitis threatens animals healthy and milk safety. However, little is known about the differentially expressed miRNA in milk-derived EVs related to subclinical mastitis. This study profiled miRNAs in milk-derived EVs from healthy cows and cows with subclinical mastitis. The potential targets for differentially expressed (DE) miRNAs were predicted. Milk-derived EVs were isolated from healthy cows (n = 7, the control group) and cows with subclinical (n = 7, the SM group). Two hundred ninety miRNAs (221 known and 69 novel ones) were identified. The top 20 miRNAs were commonly abundant (> 0.1% of the total read counts) in Healthy and SM groups, were regarded as abundant bovine milk-derived EVs miRNAs. MiR-21-5p was the most highly expressed known miRNA. Target genes of the top 20 abundant miRNAs were significantly enriched in Ras signaling pathway. The bta-miR-21-5p, bta-miR-30a-5p and miR-6-1096 were differentially expressed. For DE miRNAs, there was no significantly enriched pathways were found in the KEGG enrichment analysis. The linkage between the validated target genes and diseases suggested that we pay particular attention to exosome miRNAs from mastitic milk in milk safety.
2022-08-31 | GSE201588 | GEO
Project description:untargeted metabolomics (RPLC, positive mode) on human milk samples to investigate the presence of maternal drugs and dietary factors in breast milk
2017-08-09 | MSV000081432 | GNPS
Project description:untargeted metabolomics (RPLC, negative mode) on human milk samples to investigate the presence of maternal drugs and dietary factors in breast milk
2017-08-19 | MSV000081468 | GNPS
Project description:Mastitis, the inflammation of the mammary gland, is one of the most prevalent diseases in dairy farming worldwide. Unfortunately, the disease is most often present in a subclinical type with no clear symptoms. The sooner the infection is detected, the less opportunities for the disease to progress and the more treatment options remain available. Milk microRNA (miRNA) encapsulated in extracellular vesicles (EV) have been proposed as potential biomarkers of different mammary gland conditions, including subclinical mastitis. However, little is known about the robustness of EV analysis regarding sampling time-point or natural infections. In order to estimate the reliability of EV measurements in raw bovine milk, we first evaluated the changes in EV size, concentration and miRNA cargo during three consecutive days. Then, we compared milk EV differences from natural infected quarters with high somatic cell count (SCC) with their healthy adjacent quarters with low SCC and quarters from uninfected udders. We found that milk EV miRNA cargo is very stable along three days and that infected quarters do not induce relevant changes in milk EV of adjacent healthy quarters, making them suitable controls. We observed cow-individual changes in immunoregulatory miRNA in quarters with chronic subclinical mastitis, pointing towards infection-specific alterations. Finally, we proposed bta-miR-223 as a potential indicator of subclinical mastitis prognosis in raw milk.
2022-03-16 | GSE149856 | GEO
Project description:Breast milk contains macromolecular components with distinctive functions, whereby milk fat globules and casein micelles provide nutrition, while whey contains molecules that stimulate the infant’s immunity. Interestingly, the importance and function of extracellular vesicles (EV) in milk has not been addressed in detail. This in part is due to the difficulty to purify EV from other milk components and consequently the molecular composition of human milk-derived EV has not been fully elucidated. Methods: In this study, an extensive LC-MS/MS proteomic analysis was performed on EV isolated via density-based separation from human breast milk of 7 individuals. The proteome of milk-derived EV was analyzed using FunRich and compared to the Vesiclepedia database, as well as to the whole milk proteome, which was constructed from 38 previously published milk proteomics studies.
2016-09-27 | PXD004423 | Pride
Project description:Purpose:To present the miRNA expression profiles in giant panda milk exosomes across five lactation stages (0, 3, 7, 15 and 30 days after birth), aiming to provide new information for investigations into the physiological functions of the giant panda milk Methods: Three females were sampled in all, and each individual were sampled over multiple lactations, including 0, 3, 7, 15 and 30 days after delivery. Breast milk samples (5-10 ml) were collected from each stages. Total RNA isolated from individuals in five lactation stages (0, 7, 15 and 30 days after delivery) were pooled in equal quantities for each stage Results: Here, we illustrated the species and expression characteristics of exosome-loaded miRNAs existing in giant panda breast milk during distinct lactation periods, and highlighted the enrichment of immune- and development-related endogenous miRNAs in colostral and mature giant panda milk, which are stable even in certain hash conditions, like low pH and high concentration of RNAase, by the protection of extracellular vesicles.These findings indicate that breast milk may allow dietary intake of maternal miRNAs by infants for the regulation of postnatal development. We also demonstrated that the exogenous plant miRNA from the primary food source of giant panda (bamboo) were detected in the exosomes of giant panda breast milk, which were predicted to be of regulatory role in basic cell metabolism and neuron development. This result suggested that the dietary plant miRNAs were able to be absorbed by host cell and then secreted to body fluids as potential cross-kingdom regulators. Conclusions: Exosomal miRNAs in the giant panda breast milk may be the crucial maternal regulators for the development of intrinsic ‘slink’ newborn cubs.
2017-06-01 | GSE89755 | GEO
Project description:This investigation reports a differential proteomic analysis of the goat milk to evaluate and understand the protein changes induced by Staphylococcus spp. during a subclinical intramammary infection (IMI). A number of 9 milk samples from multiparous goats were selected for the study, 3 of which in mid-lactation (30-60 Days in milk - DIM) with very low somatic cell count (SCC) from half-udders producing a sterile milk bacterial culture (MLU), 3 of which in late lactation samples (> 250 DIM) with SCC > 2,000,000 cells/mL from half-udders producing a sterile milk bacterial culture for the whole lactation (LHU) and in conclusion 3 in late lactation (> 250 DIM) with SCC > 2,000,000 cells/mL from goat half-udders with a milk bacterial culture repeatedly positive for Staphylococcus aureus (LHS). Samples were analyzed using a shotgun proteomics approach, based on filter-aided sample preparation (FASP) followed by LC-MS/MS and on differential analysis conducted by spectral count approach (1). (1) Pisanu S, Cacciotto C, Pagnozzi D, Puggioni GMG, Uzzau S, Ciaramella P, Guccione J, Penati M, Pollera C, Moroni P, Bronzo V, Addis MF. Proteomic changes in the milk of water buffaloes (Bubalus bubalis) with subclinical mastitis due to intramammary infection by Staphylococcus aureus and by non-aureus staphylococci. Sci Rep, 2019, 9 (1), 15850. Here, we reported both a characterization of goat milk proteins and a panel of differential proteins specific of S. Aureus-infected milk that mostly affected proteins involved in defense response processes and cytoskeleton organization. In conclusion, our results provide a depth characterization of milk proteins in goat samples uninfected and infected with S. Aureus, describe the changes induced by LHU and LHS subclinical intramammary infection and suggest indications to reveal subclinical staphylococcal mastitis in goat by a proteomic investigation of milk.
2020-04-09 | PXD017243 | Pride
Project description:Previous studies have investigated the peptidomic changes occurring in cow milk during mastitis; however, these focused mainly on clinical mastitis, either spontaneous (Mansor et al., 2013) or induced by experimental infection (Thomas et al., 2016). Mansor and coworkers were the first to use mass spectrometry to demonstrate that several peptides found increased in milk from cows with clinical S. aureus or E. coli mastitis were mainly derived from aS1- and b-casein. In that study, 48 peptides were significantly different between the milks of healthy and mastitic cows. Non-mastitic samples were confirmed to be non-mastitic by having SCC <100,000 cells/mL (Mansor et al., 2013). Thomas and coworkers expanded the peptidomic repertoire in a study evaluating the kinetics of experimental S. uberis infection, and found signature peptides with potential as mastitis markers (Thomas et al., 2016). Only one study evaluated the milk peptidome in subclinical mastitis (Guerrero et al., 2015) demonstrating that even subclinical infections can cause significant increases in the total number of released peptides when compared to uninfected milk. However, neither the IMI agents nor the somatic cell counts were reported. With the aim of understanding high abundance protein and peptidomic changes due to subclinical CNS mastitis, to identify signature peptides with potential for subclinical mastitis detection, and to compare the proteomic and peptidomic findings with those reported in clinical mastitis, we investigated the influence of CNS IMI on high abundance milk proteins by SDS-PAGE and densitometric analysis, followed by a detailed characterization of the milk peptidome by means of high-performance liquid chromatography/tandem mass spectrometry and bioinformatic analysis.
2020-07-15 | PXD017768 | Pride
Project description:Prior candidate gene studies have shown tumor suppressor DNA methylation in breast milk related with history of breast biopsy, an established risk factor for breast cancer. To further establish the utility of breast milk as a tissue-specific biospecimen for investigations of breast carcinogenesis we measured genome-wide DNA methylation in breast milk from women with and without a diagnosis of breast cancer in two independent cohorts. In epigenome-wide analyses we identified 58 differentially methylated CpG sites associated with breast cancer diagnosis in the prospectively collected milk samples from the breast that would develop cancer compared with women without a diagnosis of breast cancer (q-value < 0.05), using linear mixed effects models adjusted for history of breast biopsy, age, age of the baby, cell type proportion estimates, array chip, and subject as random effect. Nearly all sites associated with breast cancer diagnosis were hypomethylated in cases compared with controls, and CpG sites were enriched for CpG islands. In addition, inferred repeat element methylation was lower in breast milk DNA from cases compared to controls, and cases exhibited increased estimated epigenetic mitotic tick rate as well as DNA methylation age compared with controls. Breast milk has promise as a biospecimen for prospective assessment of disease risk, and for understanding the underlying molecular basis of breast cancer risk factors and improving primary and secondary prevention of breast cancer.
2019-12-06 | GSE133918 | GEO
Project description:Background: Maternal pre-pregnancy BMI is a critical factor influencing the composition of breast milk. Breast milk has abundant extracellular vesicles (EVs) containing various biological molecules (cargo), including miRNAs. EVs are not degraded in the gastrointestinal system and circulation; thus, breast milk EVs (bEVs) interact with other organs in breastfed infants and modify the gene expression of recipient cells using miRNAs. In maternal obesity, miRNAs in bEVs are deregulated, which might be associated with adverse health outcomes in infants. In this study, we examined 798 miRNAs to determine which miRNAs are altered in the bEVs of obese mothers and their potential impact on breastfed infants. Methods: We recruited healthy nursing mothers who were either obese (BMI≥30) or lean (BMI<25) based on their pre-pregnancy BMI, and delivered a singleton baby in the prior six months. EVs were isolated from breast milk with ultracentrifugation. bEV characteristics were examined by flow cytometry and fluorescence imaging of EV markers. A total of 798 miRNAs were screened using a NanoString human miRNA panel to find deregulated miRNAs in bEVs of obese mothers compared to lean mothers. Results: We included 65 nursing mothers: 47 lean and 18 obese mothers based on pre-pregnancy BMI. After bEV isolation, we confirmed the expression of general EV markers. Out of 37 EV markers, CD326 was the most highly expressed marker in bEVs. From miRNA analysis using NanoString, we found that the most abundant miRNAs include miR-30b-5p, miR-494-3p, and let-7 families, and the list of top 10 miRNAs was not different between lean and obese mothers. Target genes of the top 10 miRNAs were associated with the EGFR, ErbB, and FoxO signaling pathway. Nineteen miRNAs were deregulated in bEVs of obese mothers (adjusted p < 0.05 cut-off), including miR-575, miR-548g-3p, miR-582-3p, and miR-652-5p. The target genes of these miRNAs are associated with lipid metabolism, inflammatory diseases, and nervous/cardiovascular system development. Conclusion: In this study, we demonstrated altered miRNAs in bEVs of obese mothers and identified the pathways of their potential target genes. Our findings will provide insight for future studies investigating the role of bEVs in breastfed infants.
2022-09-09 | GSE212951 | GEO