Substance use during pregnancy and personality dimensions. / Consumo de substancias durante el embarazo y dimensiones de personalidad.

Our aim was to assess personality traits associated with substance use during pregnancy in a population-based, multicentre study of 1804 pregnant women. On day 2-3 postpartum, participants completed a semi-structured interview, including self-reported drug use (alcohol, tobacco, caffeine, cannabis, cocaine, opioids) during pregnancy, and socio-demographic, reproductive and obstetric variables, personal and family psychiatric history, social support, and the Eysenck personality questionnaire, short version (EPQ-RS). Logistic regression models were conducted. Fifty per cent of women reported substance use during pregnancy: 40% caffeine, 21% tobacco, 3.5% alcohol, and 0.3 % cannabis. Mean T-scores (SD) for personality dimensions were 51.1 (9.6) for extraversion, 48 (8.9) for psychoticism, and 43.6 (8.5) for neuroticism. Extroversion (p = .029) and psychoticism (p = .009) were identified as risk factors after adjustment by age, level of education, employment status during pregnancy, low social support, and previous psychiatric history. For each increment of 10 units in their scores, the odds of substance use increased by 12% and 16% respectively. Low education, being on leave during pregnancy, and previous psychiatric history were independent factors (p < .05) associated with substance use during pregnancy. Primiparity was a protective factor (p = .001). The final models showed a good fit (p = .26). The screening of substance use during pregnancy should include personality dimensions apart from psychosocial variables and history of psychiatric disorders. It is important to identify the associated risk factors for substance use during pregnancy to prevent and improve foetal/neonatal and maternal health during perinatal period.

Este estudio evalúa los patrones de consumo de substancias durante el embarazo y las dimensiones de personalidad asociadas, en una muestra multicéntrica de 1804 mujeres de población general. En el 2-3 día posparto, completaron una entrevista auto-administrada sobre el consumo de alcohol, tabaco, cafeína, cannabis, cocaína, opiáceos, drogas de diseño, además de variables socio-demográficas, obstétricas/reproductivas, historia psiquiátrica previa, apoyo social durante el embarazo y el cuestionario de personalidad de Eysenck (EPQ-RS). Se generaron modelos de regresión logística múltiple. La prevalencia del consumo fue del 50% (N=909): 40% cafeína, 21% tabaco, 3,5% alcohol, y 0,3 cannabis. Las puntuaciones T medias (DE) de personalidad fueron: extraversión 51,1 (9,6), psicoticismo 48 (8,9) y neuroticismo 43,6 (8,5). Las dimensiones de extraversión (p=0,029) y psicoticismo (p=0,009), fueron identificadas como factores de riesgo tras ajustar por edad, nivel educación, estatus laboral durante el embarazo, bajo apoyo social, e historia psiquiátrica previa. Para cada incremento de 10 unidades en sus puntuaciones, el odds de consumo de substancias durante el embarazo se incrementó un 12% y un 16% respectivamente. Menor educación, estar de baja, y antecedentes psiquiátricos fueron también factores independientes (p<0,05) asociados al consumo. Ser primípara fue factor protector (p=0,001). El modelo final mostró un ajuste satisfactorio (p=0,26). El cribaje de las mujeres con riesgo de consumo de substancias durante el embarazo debería incluir la personalidad además de variables psicosociales y antecedentes psiquiátricos. Identificar los factores de riesgo asociados es importante para prevenir y mejorar la salud materna y fetal/neonatal durante el embarazo y posparto.

Regulation of bacterial physiology by lysine acetylation of proteins.

Post-translational modification of proteins is a reversible mechanism of cellular adaptation to changing environmental conditions. In eukaryotes, the physiological relevance of N-ɛ-lysine protein acetylation is well demonstrated. In recent times, important roles in the regulation of metabolic processes in bacteria are being uncovered, adding complexity to cellular regulatory networks. The aim of this mini-review is to sum up the current state-of-the-art in the regulation of bacterial physiology by protein acetylation. Current knowledge on the molecular biology aspects of known bacterial protein acetyltransferases and deacetylases will be summarized. Protein acetylation in Escherichia coli, Salmonella enterica, Bacillus subtilis, Rhodopseudomonas palustris and Mycobacterium tuberculosis, will be explained in the light of their physiological relevance. Progress in the elucidation of bacterial acetylomes and the emerging understanding of chemical acylation mechanisms will be discussed together with their regulatory and evolutionary implications. Fundamental molecular studies detailing this recently discovered regulatory mechanism pave the way for their prospective application for the construction of synthetic regulation networks.

Metabolic engineering for high yielding L(-)-carnitine production in Escherichia coli.

BACKGROUND: L(-)-carnitine production has been widely studied because of its beneficial properties on various diseases and dysfunctions. Enterobacteria possess a specific biotransformation pathway which can be used for the enantioselective production of L(-)-carnitine. Although bioprocesses catalyzed by enzymes or whole cells can overcome the lack of enantioselectivity of chemical methods, current processes for L(-)-carnitine production still have severe disadvantages, such as the low yields, side reactions and the need of high catalyst concentrations and anaerobic conditions for proper expression of the biotransformation pathway. Additionally, genetically engineered strains so far constructed for L(-)-carnitine production are based on plasmids and, therefore, suffer from segregational unstability. RESULTS: In this work, a stable, high yielding strain for L(-)-carnitine production from low cost substrates was constructed. A metabolic engineering strategy was implemented in a multiple mutant for use in both growing and resting cells systems. The effect of mutations on gene expression and metabolism was analyzed to characterize the productivity constraints of the wild type and the overproducer strains. Precise deletion of genes which encode proteins of central and carnitine metabolisms were performed. Specifically, flux through the TCA cycle was increased by deletion of aceK (which encodes a bifunctional kinase/phosphatase which inhibits isocitrate dehydrogenase activity) and the synthesis of the by-product γ-butyrobetaine was prevented by deletion of caiA (which encodes a crotonobetainyl-CoA reductase). Both mutations led to improve the L(-)-carnitine production by 20 and 42%, respectively. Moreover, the highly regulated promoter of the cai operon was substituted by a constitutive artificial promoter increasing the biotransformation rate, even under aerobic conditions. Resting cells of the BW ΔaceK ΔcaiA p37cai strain produced 59.6 mmol l(-1) · h(-1) of L(-)-carnitine, doubling the productivity of the wild type strain. In addition, almost total conversion was attained in less than two hours without concomitant production of the side product γ-butyrobetaine. CONCLUSIONS: L(-)-carnitine production has been enhanced by strain engineering. Metabolic engineering strategies herein implemented allowed obtaining a robust and high yielding E. coli strain. The new overproducer strain attained almost complete conversion of crotonobetaine into L(-)-carnitine with growing and resting cells, and even under aerobic conditions, overcoming the main environmental restriction to carnitine metabolism expression. So far, this is the best performing L(-)-carnitine production E. coli strain described.

EasyLCMS: an asynchronous web application for the automated quantification of LC-MS data.

BACKGROUND: Downstream applications in metabolomics, as well as mathematical modelling, require data in a quantitative format, which may also necessitate the automated and simultaneous quantification of numerous metabolites. Although numerous applications have been previously developed for metabolomics data handling, automated calibration and calculation of the concentrations in terms of µmol have not been carried out. Moreover, most of the metabolomics applications are designed for GC-MS, and would not be suitable for LC-MS, since in LC, the deviation in the retention time is not linear, which is not taken into account in these applications. Moreover, only a few are web-based applications, which could improve stand-alone software in terms of compatibility, sharing capabilities and hardware requirements, even though a strong bandwidth is required. Furthermore, none of these incorporate asynchronous communication to allow real-time interaction with pre-processed results. FINDINGS: Here, we present EasyLCMS (http://www.easylcms.es/), a new application for automated quantification which was validated using more than 1000 concentration comparisons in real samples with manual operation. The results showed that only 1% of the quantifications presented a relative error higher than 15%. Using clustering analysis, the metabolites with the highest relative error distributions were identified and studied to solve recurrent mistakes. CONCLUSIONS: EasyLCMS is a new web application designed to quantify numerous metabolites, simultaneously integrating LC distortions and asynchronous web technology to present a visual interface with dynamic interaction which allows checking and correction of LC-MS raw data pre-processing results. Moreover, quantified data obtained with EasyLCMS are fully compatible with numerous downstream applications, as well as for mathematical modelling in the systems biology field.

Redirecting metabolic fluxes through cofactor engineering: Role of CoA-esters pool during L(-)-carnitine production by Escherichia coli.

Cofactor engineering, defined as the purposeful modification of the pool of intracellular cofactors, has been demonstrated to be a very suitable strategy for the improvement of L(-)-carnitine production in Escherichia coli strains. The overexpression of CaiB (CoA-transferase) and CaiC (CoA-ligase), both enzymes involved in coenzyme A transfer and substrate activation during the bioprocess, led to an increase in L(-)-carnitine production. Under optimal concentrations of inducer and fumarate (used as electron acceptors) yields reached 10- and 50-fold, respectively, that obtained for the wild type strain. However, low levels of coenzyme A limited the activity of these two enzymes since the addition of pantothenate increased production. Growth on substrates whose assimilation yields acetyl-CoA (such as acetate or pyruvate) further inhibited L(-)-carnitine production. Interestingly, control steps in the metabolism of acetyl-CoA of E. coli were detected. The glyoxylate shunt and anaplerotic pathways limit the bioprocess since strains carrying deletions of isocitrate lyase and isocitrate dehydrogenase phosphatase/kinase yielded 20-25% more L(-)-carnitine than the control. On the other hand, the deletion of phosphotransacetylase strongly inhibited the bioprocess, suggesting that an adequate flux of acetyl-CoA and the connection of the phosphoenolpyruvate-glyoxylate cycle together with the acetate metabolism are crucial for the biotransformation.

Effect of salt stress on crotonobetaine and D(+)-carnitine biotransformation into L(-)-carnitine by resting cells of Escherichia coli.

The biotransformation of crotonobetaine and D(+)-carnitine into L(-)-carnitine is affected by salt stress in the resting cells of E. coli O44 K74 and the transformed E. coli K38 pT7-5KE32. A yield of 65 and 80% of L(-)-carnitine, respectively, were obtained with 0.5 M NaCl with the wild and transformed strain compared with the 40% obtained with the control. Higher salt levels reduced the conversion. In L(-)-carnitine transport studies using both strains, the transformed strain presented slightly lower apparent K(m) and V values. Arsenate reduced both the transport and biotransformation of crotono-betaine in the presence or absence of 0.5 M NaCl, whereas vanadate only inhibited these processes under salt stress conditions. Hg(II) inhibited both the transport and biotransformation and Pb(II) reduced the biotransformation only under salt stress conditions. Cu(II) produced a significantly higher decrease than Pb(II) in the biotransformation with both substrates in the absence of salt stress conditions, but only affected transport in the presence of such conditions. Furthermore, salt stress affected the CaiT transporter for L(-)-carnitine and crotonobetaine and induced ProU and ProP in the absence of the inducer of the L(-)-carnitine metabolism. It is highly likely that the increase in L(-)-carnitine production was not only due to improved transport but also to the permeabilization effect caused by NaCl, as transport and 1-N-phenylnaphthylamine uptake studies revealed.