Metabolomics can provide new insights into perinatal nutrition

Deciphering nutrient stress in plants: integrative insight from metabolomics and proteomics

To comprehend the responses and resilience of plants under unfavorable environmental conditions, it is crucial to study the metabolomics and proteomic insights into nutrient stress. Nutrient stress substantially challenges agriculture, impacting plant growth, development, and productivity due to a lack or imbalance of essential nutrients, which can happen due to poor soil quality, limited nutrient availability, or unfavorable climatic conditions. Although there has been significant progress in the study of plant nutrient stress using metabolomics and proteomics, several challenges and research gaps still need to be addressed, such as the standardized experimental protocols, data integration strategies, and bioinformatic tools are necessary for comparative analysis and interpretation of omics data. Hence, this review explores the theoretical frameworks of metabolomics and proteomics as powerful tools to decode plant responses to nutrient stress, addressing critical knowledge gaps in the field. This review highlights the advantages of integrative analyses, combining metabolomics, proteomics, and transcriptomics, to uncover the molecular networks governing nutrient stress resilience. Key findings underscore the potential of these techniques to enhance breeding strategies and genetic engineering efforts aimed at developing nutrient-efficient crops. Through metabolomics and proteomic analyses, novel molecular components and regulatory networks have been revealed as responsive to nutrient stress, and this breakthrough has the potential to bolster plant resilience and optimize nutrient utilization. Understanding the synergistic roles of metabolites and proteins in nutrient stress resilience has profound implications for crop improvement and agricultural sustainability. Future research should focus on refining integrative methodologies and exploring their applications across diverse plant species and environmental conditions, paving the way for innovative solutions to nutrient stress challenges.

Integrating the milk microbiome signatures in mastitis: milk-omics and functional implications

Mammalian milk contains a variety of complex bioactive and nutritional components and microorganisms. These microorganisms have diverse compositions and functional roles that impact host health and disease pathophysiology, especially mastitis. The advent and use of high throughput omics technologies, including metagenomics, metatranscriptomics, metaproteomics, metametabolomics, as well as culturomics in milk microbiome studies suggest strong relationships between host phenotype and milk microbiome signatures in mastitis. While single omics studies have undoubtedly contributed to our current understanding of milk microbiome and mastitis, they often provide limited information, targeting only a single biological viewpoint which is insufficient to provide system-wide information necessary for elucidating the biological footprints and molecular mechanisms driving mastitis and milk microbiome dysbiosis. Therefore, integrating a multi-omics approach in milk microbiome research could generate new knowledge, improve the current understanding of the functional and structural signatures of the milk ecosystem, and provide insights for sustainable mastitis control and microbiome management.

Metabolomic signatures associated with fetal growth restriction and small for gestational age: a systematic review

The pathways involved in the pathophysiology of fetal growth restriction (FGR) and small for gestational age (SGA) are incompletely understood. We conduct a systematic review to identify metabolomic signatures in maternal and newborn tissues and body fluids samples associated with FGR/SGA. Here, we report that 825 non-duplicated metabolites were significantly altered across the 48 included studies using 10 different human biological samples, of which only 56 (17 amino acids, 12 acylcarnitines, 11 glycerophosphocholines, six fatty acids, two hydroxy acids, and eight other metabolites) were significantly and consistently up- or down-regulated in more than one study. Three amino acid metabolism-related pathways and one related with lipid metabolism are significantly associated with FGR and/or SGA: biosynthesis of unsaturated fatty acids in umbilical cord blood, and phenylalanine, tyrosine and tryptophan biosynthesis, valine, leucine and isoleucine biosynthesis, and phenylalanine metabolism in newborn dried blood spot. Significantly enriched metabolic pathways were not identified in the remaining biological samples. Whether these metabolites are in the causal pathways or are biomarkers of fetal nutritional deficiency needs to be explored in large, well-phenotyped cohorts.

Cord blood vitamin E and lipids in infants born small for gestational age

Vitamin E is associated with the regulation of lipid metabolism. Our previous study revealed an inverse relationship between birth weight and cord blood vitamin E levels, suggesting a potential link between vitamin E and fetal growth. The aim of this study was to determine the association between vitamin E with fetal growth and lipids. In this investigation, a study involving 146 mother-infant pairs was performed. Cord plasma concentrations of vitamin E and lipids were measured. Our findings showed that cord plasma vitamin E levels were elevated in small for gestational age (SGA) infants, and higher vitamin E levels were associated with an increased risk of SGA (OR = 2.239, 95% CI 1.208, 4.742). Additionally, among lipid levels, higher cord plasma triglyceride (TG) levels were associated with increased risks of SGA (OR = 97.020, 95% CI 5.137, 1832.305), whereas after adjusting for confounding factors, the risk became no longer statistically significant. We also found a positive correlation between cord blood vitamin E concentrations and lipid levels.

CONCLUSION

 elevated cord blood vitamin E concentrations may be associated with a higher risk of SGA and are positively correlated with lipid levels, suggesting a potential role for vitamin E in fetal lipid metabolism.

WHAT IS KNOWN

• Vitamin E is associated with the regulation of lipid metabolism. • Vitamin E is inversely related to birth weight.

WHAT IS NEW

• Elevated cord blood vitamin E concentrations may be associated with a higher risk of SGA and positively correlated with lipid levels.

Estimating Gestational Age and Prediction of Preterm Birth Using Metabolomics Biomarkers

Preterm birth (PTB) is a leading cause of morbidity and mortality in children aged under 5 years globally, especially in low-resource settings. It remains a challenge in many low-income and middle-income countries to accurately measure the true burden of PTB due to limited availability of accurate measures of gestational age (GA), first trimester ultrasound dating being the gold standard. Metabolomics biomarkers are a promising area of research that could provide tools for both early identification of high-risk pregnancies and for the estimation of GA and preterm status of newborns postnatally.

Maternal Dietary Protein Patterns and Neonatal Anthropometrics: A Prospective Study with Insights from NMR Metabolomics in Amniotic Fluid

This study aimed to characterize dietary protein patterns (DPPs) in a sample pool of 298 well-nourished pregnant women and explore potential associations between DPPs and neonatal anthropometrics. Maternal dietary data were collected using a validated food frequency questionnaire. Neonatal anthropometrics were abstracted from health booklets. A hierarchical cluster analysis identified three DPPs: "Dairy-focused", "Med-fusion", and "Traditional-inspired". The "Dairy-focused" DPP exhibited the highest protein intake (p < 0.001), predominantly animal protein (p < 0.001), while the "Traditional-inspired" DPP presented higher plant protein (p < 0.001) and fiber intakes (p < 0.001), and, therefore, a reduced carbohydrate-to-fiber quotient (p < 0.001). The "Med-fusion" DPP had the lowest protein-to-fat ratio (p < 0.001). Infants of women following the "Dairy-focused" DPP had the highest birth height centiles (p = 0.007) and the lowest ponderal index (p = 0.003). The NMR-metabolomics approach was implemented on a subset of women that provided amniotic fluid (AF) specimens (n = 62) to elucidate distinct metabolic signatures associated with DPPs. PCA and OPLS-DA models verified the adherence to three DPPs, revealing that the levels of several amino acids (AAs) were the highest in "Dairy-focused", reflecting its protein-rich nature. The "Traditional-inspired" DPP showed decreased AAs and glucose levels. This knowledge may contribute to optimizing maternal dietary recommendations. Further research is needed to validate these findings and better understand the relationships between maternal diet, AF metabolic signature, and neonatal anthropometrics.

Effects of Different Prenatal Nutrition Strategies on the Liver Metabolome of Bulls and Its Correlation with Body and Liver Weight

This study investigated the effect of prenatal nutrition on liver metabolome and on body (BW) and liver weight (LW) of Nellore bulls at slaughter. Three treatments were applied in 126 cows during pregnancy: NP—control (mineral supplementation); PP—protein-energy supplementation in the third trimester; and FP—protein-energy supplementation during the entire pregnancy. Offspring BW and LW were evaluated, and a targeted metabolomics analysis was performed on their livers (n = 18, 22.5 ± 1 months of age). Data were submitted to principal component analysis (PCA), analysis of variance (ANOVA), enrichment analysis, and Pearson’s correlation analysis. The phenotypes did not show differences between treatments (p > 0.05). Metabolites PCA showed an overlap of treatment clusters in the analysis. We found significant metabolites in ANOVA (p ≤ 0.05; Glycine, Hydroxytetradecadienylcarnitine, Aminoadipic acid and Carnosine). Enrichment analysis revealed some biological processes (Histidine metabolism, beta-Alanine metabolism, and Lysine degradation). Pearson’s correlation analysis showed 29 significant correlated metabolites with BW and 1 metabolite correlated with LW. In summary, prenatal nutrition did not show effects on the phenotypes evaluated, but affected some metabolites and biological pathways, mainly related to oxidative metabolism. In addition, BW seems to influence the hepatic metabolome more than LW, due to the amount and magnitude of correlations found.