The effect of microbiota composition and its health on bone tissue is a novel field for research. However, their associations with bone mineral density (BMD) have not been established in postmenopausal women. The present study investigates the relation of diet, the microbiota composition, and the serum metabolic profile in postmenopausal women with normal-BMD or with low-BMD. Ninety-two Mexican postmenopausal women were classified into normal-BMD (n = 34) and low-BMD (n = 58). The V4 hypervariable region was sequenced using the Miseq platform. Serum vitamin D was determined by chemiluminescence immunoassay. Serum concentrations of acyl-carnitines and amino acids were determined by electrospray tandem mass spectrometry. Diet was assessed by a food frequency questionnaire. The low-BMD group had fewer observed species, higher abundance of γ-Proteobacteria, lower consumption of lycopene, and lower concentrations of leucine, valine, and tyrosine compared with the normal-BMD group. These amino acids correlated positively with the abundance of Bacteroides. Lycopene consumption positively correlated with Oscillospira and negatively correlated with Pantoea genus abundance. Finally, the intestinal microbiota of women with vitamin D deficiency was related to Erysipelotrichaceae and Veillonellaceae abundance compared to the vitamin D non-deficient group. Associations mediated by the gut microbiota between diet and circulating metabolites with low-BMD were identified.

Introduction: Severe acute respiratory syndrome–coronavirus 2 (SARS-CoV-2) infection triggers inflammatory clinical stages that affect the outcome of patients with coronavirus disease 2019 (COVID-19). Disease severity may be associated with a metabolic imbalance related to amino acids, lipids, and energy-generating pathways. The aim of this study was to characterize the profile of amino acids and acylcarnitines in COVID-19 patients. A multicenter, cross-sectional study was carried out. A total of 453 individuals were classified by disease severity. Levels of 11 amino acids, 31 acylcarnitines, and succinylacetone in serum samples were analyzed by electrospray ionization–triple quadrupole tandem mass spectrometry. Different clusters were observed in partial least squares discriminant analysis, with phenylalanine, alanine, citrulline, proline, and succinylacetone providing the major contribution to the variability in each cluster (variable importance in the projection >1.5). In logistic models adjusted by age, sex, type 2 diabetes mellitus, hypertension, and nutritional status, phenylalanine was associated with critical outcomes (odds ratio=5.3 (95% CI 3.16-9.2) in the severe vs. critical model, with an area under the curve of 0.84 (95% CI 0.77-0.90). In conclusion the metabolic imbalance in COVID-19 patients might affect disease progression. This work shows an association of phenylalanine with critical outcomes in COVID-19 patients, highlighting phenylalanine as a potential metabolic biomarker of disease severity.

Expanded newborn screening for inherited metabolic disorders using tandem mass spectrometry was introduced in 1990’s and is widely used around the world. In contrast to conventional screening methods, tandem mass spectrometry does not measure single analytes but identifies and quantifies metabolite profiles; one single blood spot analyzed provides information of about 60 metabolites including amino acids, acylcarnitines and related ratios that enable the diagnosis of approximately 50 different diseases. However, the interpretation of these profiles can become quite complex. The aim of this work is to present in an easy and practical manner a comprehensive compilation of information needed for tandem mass neonatal screening profile interpretation, and basic actions for immediate follow up of abnormal results, including the tests that are required for confirmatory purposes. Other conditions not attributable to metabolic disorders which can lead to an abnormal profile of these markers are also described as well as a series of general recommendations which would be useful for health professionals who are beginning newborn screening for inborn errors of intermediary metabolism using tandem mass spectrometry.

Congenital toxoplasmosis is an obstetric problem in Mexico, but its actual frequency is unknown. Using a network for screening of non-infectious disorders, we performed a pilot study to determine the frequency of IgM antibodies to Toxoplasma gondii in 1,003 infants (53.1% male, mean ± SD age = 18.3 ± 13.0 days, birth weight = 3.116 ± 0.453 kg) in Mexico City from March to April 2003. Blood samples embedded in filter paper were assayed for IgM antibodies using a capture enzyme-linked immunosorbent assay and results were confirmed by Western blot. Two asymptomatic newborns, one of them premature, had IgM and IgG antibodies in a serum sample taken from both the infant and the mother and were clinically followed. Our data suggest a frequency of approximately two cases of congenital T. gondii infection per 1,000 newborns in Mexico City.