Variables fenomenológicas de narrativas de memoria autobiográfica asociadas a hábitos saludables en niños

Different studies relate self-defining memories (SDM) to psychological well-being and health. This study aims to analyze the relation between the phenomenological variables (e.g., emotional intensity, vividness etc.) involved in self-defining memories associated with health (HSDMs) and healthy habits in 262 children aged between 9 and 13 years. Participants’ eating habits and physical activity events are associated with the emotionality of their HSDMs. Most of the HSDMs were declared to be experienced with their family members, and greater importance was attributed to those memories related to mothers. Significant features of retrieved HSDM can be detected from construction of autobiographical memories supporting the development of a robust healthy self in children. As such, families and schools should facilitate life experiences that lead to the formation of vivid and detailed HSDMs given that this is likely to promote health-related behaviours.Diferentes estudios relacionan los recuerdos autodefinidos (SDM) con el bienestar psicológico y la salud. Este estudio tiene como objetivo analizar la relación entre las variables fenomenológicas (p. ej., intensidad emocional, viveza, etc.) implicadas en los recuerdos autodefinidos asociados a la salud (HSDM) y los hábitos saludables en 262 niños de entre 9 y 13 años. Los hábitos alimentarios y los eventos de actividad física de los participantes están asociados con la emotividad de sus HSDM. La mayoría de los HSDM declararon ser vividos con sus familiares, y se atribuyó mayor importancia a aquellos recuerdos relacionados con las madres. Se pueden detectar características significativas del HSDM recuperado a partir de la construcción de recuerdos autobiográficos que respaldan el desarrollo de un yo saludable y robusto en los niños. Como tal, las familias y las escuelas deben facilitar experiencias de vida que conduzcan a la formación de HSDM vívidos y detallados, dado que es probable que esto promueva comportamientos relacionados con la salud

CARB-ES-19 Multicenter Study of Carbapenemase-Producing Klebsiella pneumoniae and Escherichia coli From All Spanish Provinces Reveals Interregional Spread of High-Risk Clones Such as ST307/OXA-48 and ST512/KPC-3

ObjectivesCARB-ES-19 is a comprehensive, multicenter, nationwide study integrating whole-genome sequencing (WGS) in the surveillance of carbapenemase-producing K. pneumoniae (CP-Kpn) and E. coli (CP-Eco) to determine their incidence, geographical distribution, phylogeny, and resistance mechanisms in Spain.MethodsIn total, 71 hospitals, representing all 50 Spanish provinces, collected the first 10 isolates per hospital (February to May 2019); CPE isolates were first identified according to EUCAST (meropenem MIC > 0.12 mg/L with immunochromatography, colorimetric tests, carbapenem inactivation, or carbapenem hydrolysis with MALDI-TOF). Prevalence and incidence were calculated according to population denominators. Antibiotic susceptibility testing was performed using the microdilution method (EUCAST). All 403 isolates collected were sequenced for high-resolution single-nucleotide polymorphism (SNP) typing, core genome multilocus sequence typing (cgMLST), and resistome analysis.ResultsIn total, 377 (93.5%) CP-Kpn and 26 (6.5%) CP-Eco isolates were collected from 62 (87.3%) hospitals in 46 (92%) provinces. CP-Kpn was more prevalent in the blood (5.8%, 50/853) than in the urine (1.4%, 201/14,464). The cumulative incidence for both CP-Kpn and CP-Eco was 0.05 per 100 admitted patients. The main carbapenemase genes identified in CP-Kpn were blaOXA–48 (263/377), blaKPC–3 (62/377), blaVIM–1 (28/377), and blaNDM–1 (12/377). All isolates were susceptible to at least two antibiotics. Interregional dissemination of eight high-risk CP-Kpn clones was detected, mainly ST307/OXA-48 (16.4%), ST11/OXA-48 (16.4%), and ST512-ST258/KPC (13.8%). ST512/KPC and ST15/OXA-48 were the most frequent bacteremia-causative clones. The average number of acquired resistance genes was higher in CP-Kpn (7.9) than in CP-Eco (5.5).ConclusionThis study serves as a first step toward WGS integration in the surveillance of carbapenemase-producing Enterobacterales in Spain. We detected important epidemiological changes, including increased CP-Kpn and CP-Eco prevalence and incidence compared to previous studies, wide interregional dissemination, and increased dissemination of high-risk clones, such as ST307/OXA-48 and ST512/KPC-3

Variables fenomenológicas de narrativas de memoria autobiográfica asociadas a hábitos saludables en niños

Different studies relateself-defining memories (SDM) to psy-chological well-being and health. This study aims toanalyse the relation be-tween the phenomenological variables (e.g., emotional intensity, vividness etc.) involved in self-defining memories associated with health (HSDMs) and healthy habits in 262 children aged between 9 and 13 years. Partici-pants’ eating habits and physical activity events are associated with the emotionality of their HSDMs. Most of the HSDMs were declared to be experienced with their family members, and greater importance was at-tributed to those memories related to mothers. Significant features of re-trieved HSDM can be detected from construction of autobiographical memories supporting the development of a robust healthy self in children. As such, families and schools should facilitate life experiences that lead to the formation of vivid and detailed HSDMs given that this is likely to promote health-related behaviours.Diferentes estudios relacionan los recuerdos autodefinidos (SDM) con el bienestar psicológico y la salud. Este estudio tiene como ob-jetivo analizar la relación entre las variables fenomenológicas (p. ej., inten-sidad emocional, viveza, etc.) implicadas en los recuerdos autodefinidos asociados a la salud (HSDM) y los hábitos saludables en 262 niños de entre 9 y 13 años. Los hábitos alimentarios y los eventos de actividad física de los participantes sonasociados con la emotividad de sus HSDM. La mayoría de los HSDM declararon ser vividos con sus familiares, y se atribuyó mayor importancia a aquellos recuerdos relacionados con las madres. Se pueden detectar características significativas del HSDM recuperado a partir de la construcción de recuerdos autobiográficos que respaldan el desarrollo de un yo saludable y robusto en los niños. Como tal, las familias y las escuelas deben facilitar experiencias de vida que conduzcan a la formación de HSDM vívidos y detallados, dado que es probable que esto promueva comportamientos relacionados con la salud

Common Laboratory Parameters Are Useful for Screening for Alcohol Use Disorder: Designing a Predictive Model Using Machine Learning

The diagnosis of alcohol use disorder (AUD) remains a difficult challenge, and some patients may not be adequately diagnosed. This study aims to identify an optimum combination of laboratory markers to detect alcohol consumption, using data science. An analytical observational study was conducted with 337 subjects (253 men and 83 women, with a mean age of 44 years (10.61 Standard Deviation (SD)). The first group included 204 participants being treated in the Addictive Behaviors Unit (ABU) from Albacete (Spain). They met the diagnostic criteria for AUD specified in the Diagnostic and Statistical Manual of mental disorders fifth edition (DSM-5). The second group included 133 blood donors (people with no risk of AUD), recruited by cross-section. All participants were also divided in two groups according to the WHO classification for risk of alcohol consumption in Spain, that is, males drinking more than 28 standard drink units (SDUs) or women drinking more than 17 SDUs. Medical history and laboratory markers were selected from our hospital’s database. A correlation between alterations in laboratory markers and the amount of alcohol consumed was established. We then created three predicted models (with logistic regression, classification tree, and Bayesian network) to detect risk of alcohol consumption by using laboratory markers as predictive features. For the execution of the selection of variables and the creation and validation of predictive models, two tools were used: the scikit-learn library for Python, and the Weka application. The logistic regression model provided a maximum AUD prediction accuracy of 85.07%. Secondly, the classification tree provided a lower accuracy of 79.4%, but easier interpretation. Finally, the Naive Bayes network had an accuracy of 87.46%. The combination of several common biochemical markers and the use of data science can enhance detection of AUD, helping to prevent future medical complications derived from AUD

Elevated levels of Secreted-Frizzled-Related-Protein 1 contribute to Alzheimer’s disease pathogenesis

The deposition of aggregated amyloid-β peptides derived from the pro-amyloidogenic processing of the amyloid precurson protein (APP) into characteristic amyloid plaques (APs) is distinctive to Alzheimer’s disease (AD). Alternative APP processing via the metalloprotease ADAM10 prevents amyloid-β formation. We tested whether downregulation of ADAM10 activity by its secreted endogenous inhibitor secreted-frizzled-related protein 1 (SFRP1) is a common trait of sporadic AD. We demonstrate that SFRP1 is significantly increased in the brain and cerebrospinal fluid of patients with AD, accumulates in APs and binds to amyloid-β, hindering amyloid-β protofibril formation. Sfrp1 overexpression in an AD-like mouse model anticipates the appearance of APs and dystrophic neurites, whereas its genetic inactivation or the infusion of α-SFRP1-neutralizing antibodies favors non-amyloidogenic APP processing. Decreased Sfrp1 function lowers AP accumulation, improves AD-related histopathological traits and prevents long-term potentiation loss and cognitive deficits. Our study unveils SFRP1 as a crucial player in AD pathogenesis and a promising AD therapeutic target.Spanish MINECO (BFU2013-43213-P; BFU2016-75412-R with FEDER support), Fundación Tatiana Perez de Guzman el Bueno and CIBERER to PB and PE, and FIS PI11/3035 to AL. JRC (BES-2011-047189), MIM (BES-2014-068797) and GP (BES-2017-08031 and Fundación Ramon Areces.Peer reviewe