Human Milk Oligosaccharides (HMOs) and Infant Microbiota: A Scoping Review.

Human milk oligosaccharides (HMOs) are the third most abundant solid component of breast milk. However, the newborn cannot assimilate them as nutrients. They are recognized prebiotic agents (the first in the newborn diet) that stimulate the growth of beneficial microorganisms, mainly the genus Bifidobacterium, dominant in the gut of breastfed infants. The structures of the oligosaccharides vary mainly according to maternal genetics, but also other maternal factors such as parity and mode of delivery, age, diet, and nutritional status or even geographic location and seasonality cause different breast milk oligosaccharides profiles. Differences in the profiles of HMO have been linked to breast milk microbiota and gut microbial colonization of babies. Here, we provide a review of the scope of reports on associations between HMOs and the infant gut microbiota to assess the impact of HMO composition.

Optimization and validation of a chiral CE-LIF method for quantitation of aspartate, glutamate and serine in murine osteocytic and osteoblastic cells.

Asp, Glu, and D-Ser are chiral amino acids and neurotransmitters binding to the N-methyl-D-aspartate receptor (NMDA) and they participate in glutamate signalization. D-amino acids are increasingly being recognized as important signaling molecules and variations in their levels are considered a marker of different pathologies, however, there is still a lack of knowledge about the role of most of D-amino acids in living organisms such as bone cells. A method for determination of concentrations of L/D-Asp, L/D-Glu and L/D-Ser in two types of bone cell lines: murine osteocytes (MLOY4) and osteoblasts (MC3T3-E1) is presented. It is based on capillary electrophoresis coupled to laser-induced fluorescence detection in normal polarity with 4-fluoro-7-nitro-2,1,3-benzoxadiazole as derivatizing agent suitable for an Argon ion laser source. The electrolyte consists of 137.5 mM borate buffer and 12.5 mM ß-cyclodextrins as chiral selectors and the separation lasts 25 min. The method was optimized and validated for specificity, sensitivity, linearity, accuracy, and precision in murine osteocytes and osteoblasts. LLOQ was 0.25 µmol L-1 for the three D-amino acids and linearity was confirmed with r > 0.995 for all D-and L-amino acids. Accuracy ranged between 81.9% and 111.7% and intra-day precision ranged between 1.8% and 10.9%. Concentrations of D- and L- Asp, Glu, and Ser are given and statistical differences between osteocytes and osteoblasts were found. The highest differences corresponded to L- and D-Glu. This method could play a fundamental role in the study of therapeutic targets in the treatment of bone diseases.

Development and validation of a high performance liquid chromatography-tandem mass spectrometry method for the absolute analysis of 17 α D-amino acids in cooked meals.

In the nutrition field, there is a lack of understanding about the impact that dietary chiral composition may have on health, especially regarding cooked meals. Chiral amino acids (AAs) are naturally present in food and their proportion may vary quite a lot. Besides, the D-amino acids (D-AAs) are present in very low concentration compared to L-AAs, so very sensitive methods are required for their accurate quantitation. Moreover, some of them have been described as indicators of quality and different food processes. In this research, we propose a robust method for the absolute quantitation and enantiomeric ratio of 17 D-AAs in cooked meals. The AAs were extracted from 1 g of the homogenised meal with methanol, derivatised with (S)-N-(4-nitrophenoxycarbonyl) phenylalanine methoxyethyl ester ((S)-NIFE) and analysed by RP-LC-MS/MS. The separation was carried out with an Acquity BEH C18 (100 mm x 2.1 mm, 1.7 µm) column at 70 ºC, with 10 mmol/L ammonium bicarbonate in water as eluent A and acetonitrile as eluent B at a 0.3 mL/min flow rate in gradient elution. The MS operated in positive electrospray ionisation method in multiple reaction monitoring (MRM) mode. Isotopically labelled AAs were used as internal standards for the quantitation. The method was validated for 17 D-AAs in the cooked food samples in terms of specificity, linearity, precision, accuracy, matrix effect and stability. LLOQ are 2.0 ng/mL for most of them. Additionally, linearity was also studied for L-AAs. After optimization and validation, the method was applied to real breakfast, lunch and dinner samples of cooked meals (n = 18) that were part of a diet with a very high concordance with WHO dietary guidelines. Level of concentration of major and minor D-AAs have been described per total daily intake and within each of the three main meals. This method can be used for quality control purposes as well as to investigate the role of chiral composition in food and clinical outcomes.

D-serine plasma concentration is a potential biomarker of (R,S)-ketamine antidepressant response in subjects with treatment-resistant depression.

RATIONALE: (R,S)-ketamine is a rapid and effective antidepressant drug that produces a response in two thirds of patients with treatment-resistant depression (TRD). The underlying biochemical differences between a (R,S)-ketamine responder (KET-R) and non-responder (KET-NR) have not been definitively identified but may involve serine metabolism. OBJECTIVES: The aim of the study was to examine the relationship between baseline plasma concentrations of D-serine and its precursor L-serine and antidepressant response to (R,S)-ketamine in TRD patients. METHODS: Plasma samples were obtained from 21 TRD patients at baseline, 60 min before initiation of the (R,S)-ketamine infusion. Patients were classified as KET-Rs (n = 8) or KET-NRs (n = 13) based upon the difference in Montgomery-Åsberg Depression Rating Scale (MADRS) scores at baseline and 230 min after infusion, with response defined as a ≥50 % decrease in MADRS score. The plasma concentrations of D-serine and L-serine were determined using liquid chromatography-mass spectrometry. RESULTS: Baseline D-serine plasma concentrations were significantly lower in KET-Rs (3.02 ± 0.21 µM) than in KET-NRs (4.68 ± 0.81 µM), p < 0.001. A significant relationship between baseline D-serine plasma concentrations and percent change in MADRS at 230 min was determined using a Pearson correlation, r = 0.77, p < 0.001, with baseline D-serine explaining 60 % of the variance in (R,S)-ketamine response. The baseline concentrations of L-serine (L-Ser) in KET-Rs were also significantly lower than those measured in KET-NRs (66.2 ± 9.6 µM vs 242.9 ± 5.6 µM, respectively; p < 0.0001). CONCLUSIONS: The results demonstrate that the baseline D-serine plasma concentrations were significantly lower in KET-Rs than in KET-NRs and suggest that this variable can be used to predict an antidepressant response following (R,S)-ketamine administration.