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Structural equation modeling (SEM) can help understanding complex functional relationships among obesity, non-alcoholic fatty liver disease (NAFLD), family history of obesity, targeted metabolomics and pro-inflammatory markers. We tested two hypotheses: 1) If obesity precedes an excess of free fatty acids that increase oxidative stress and mitochondrial dysfunction, there would be an increase of serum acylcarnitines, amino acids and cytokines in obese subjects. Acylcarnitines would be related to non-alcoholic fatty disease that will induce insulin resistance. 2) If a positive family history of obesity and type 2 diabetes are the major determinants of the metabolomic profile, there would be higher concentration of amino acids and acylcarnitines in patients with this background that will induce obesity and NAFLD which in turn will induce insulin resistance.137 normoglycemic subjects, mean age (SD) of 30.61 (8.6) years divided in three groups: BMI25 with absence of NAFLD (G1), n = 82; BMI30 with absence of NAFLD (G2), n = 24; and BMI30 with NAFLD (G3), n = 31. Family history of obesity (any) was present in 53%. Both models were adjusted in SEM. Family history of obesity predicted obesity but could not predict acylcarnitines and amino acid concentrations (effect size0.2), but did predict obesity phenotype.Family history of obesity is the major predictor of obesity, and the metabolic abnormalities on amino acids, acylcarnitines, inflammation, insulin resistance, and NAFLD.

Background Structural equation modeling (SEM) can help understanding complex functional relationships among obesity, non-alcoholic fatty liver disease (NAFLD), family history of obesity, targeted metabolomics and pro-inflammatory markers. We tested two hypotheses: 1) If obesity precedes an excess of free fatty acids that increase oxidative stress and mitochondrial dysfunction, there would be an increase of serum acylcarnitines, amino acids and cytokines in obese subjects. Acylcarnitines would be related to non-alcoholic fatty disease that will induce insulin resistance. 2) If a positive family history of obesity and type 2 diabetes are the major determinants of the metabolomic profile, there would be higher concentration of amino acids and acylcarnitines in patients with this background that will induce obesity and NAFLD which in turn will induce insulin resistance. Methods/Results 137 normoglycemic subjects, mean age (SD) of 30.61 (8.6) years divided in three groups: BMI30 with absence of NAFLD (G2), n = 24; and BMI>30 with NAFLD (G3), n = 31. Family history of obesity (any) was present in 53%. Both models were adjusted in SEM. Family history of obesity predicted obesity but could not predict acylcarnitines and amino acid concentrations (effect size

Since intrauterine life, our brain is exposed to diverse internal and external factors that generate epigenetic changes affecting the neural networks and thus modifying the properties of the mirror neurons of the developing infant. We consider that changes on the mirror neurons may play a role on the neuro-developmental pathologies of an infant where no structural brain lesion is observed.Desde la vida intrauterina nuestro cerebro está siendo expuesto a factores internos y externos que generan cambios epigenéticos que afectan las redes neuronales y por tanto modifican las propiedades de las neuronas espejo del infante en desarrollo. Consideramos que cambios en las neuronas espejo pueden jugar un papel en las patologías del neuro-desarrollo del infante donde no es observada una lesión estructural cerebral.

Phenylketonuria (PKU) is an autosomal recessive inborn error of metabolism characterized by increased phenylalanine (Phe) levels causing an inadequate neurodevelopment; the treatment of PKU is a Phe-restricting diet, and as such it can modulate the intestinal microbiome of the individual, generating central nervous system secondary disturbances that, added to the baseline disturbance, can influence the outcome of the disease.

During pregnancy, the microbiomes of the mouth, vagina and intestine undergo changes to adapt to the demands of the body, increasing the relationship and similarity between them. Therefore, it is pertinent to consider a literature review to determine the existence of influencing factors for a specific microbiome, which could also modify others. An example is the case of the mouth microbiome that is dependent on the intimate activities of the female, and therefore could be a factor that relates to preterm labor.Durante el embarazo los microbiomas bucal, vaginal e intestinal de la mujer sufren cambios para adaptarse a las demandas del cuerpo, aumentando la relación y similitud entre ellos. Debido a esto se considera pertinente realizar una revisión literaria con el propósito de determinar la existencia de factores que influyen en un microbioma específico y que posteriormente podrían modificar a los demás. Este es el caso del microbioma bucal que depende de la actividad íntima de la mujer y por consiguiente puede ser un factor que se relacione con el desarrollo de un embarazo pretérmino.

The first 1000 days of the infant development are utmost important in the neuro-cognoscitive development of the individual; diverse factors modify the intestinal microbiome of the offspring, beginning with the characteristics of the mothers diet, mode of delivery, use of antibiotics, breastfeeding practice, moment of weaning, and many others; the purpose of this review is to state the diverse factors that affect the development of the microbiome and how it affects the brain functionality by altering the gut-brain interaction because of the changes regarding neurotransmisor production and other changes regarding brain functionality and its posterior outcome on the cognoscitive development and behaviour.