Enhancing ASD detection accuracy: a combined approach of machine learning and deep learning models with natural language processing

[EN] Purpose The main aim of our study was to explore the utility of artificial intelligence (AI) in diagnosing autism spectrum disorder (ASD). The study primarily focused on using machine learning (ML) and deep learning (DL) models to detect ASD potential cases by analyzing text inputs, especially from social media platforms like Twitter. This is to overcome the ongoing challenges in ASD diagnosis, such as the requirement for specialized professionals and extensive resources. Timely identification, particularly in children, is essential to provide immediate intervention and support, thereby improving the quality of life for affected individuals. Methods We employed natural language processing (NLP) techniques along with ML models like decision trees, extreme gradient boosting (XGB), k-nearest neighbors algorithm (KNN), and DL models such as recurrent neural networks (RNN), long short-term memory (LSTM), bidirectional long short-term memory (Bi-LSTM), bidirectional encoder representations from transformers (BERT and BERTweet). We extracted a dataset of 404,627 tweets from Twitter users using the platform’s API and classified them based on whether they were written by individuals claiming to have ASD (ASD users) or by those without ASD (non-ASD users). From this dataset, we used a subset of 90,000 tweets (45,000 from each classification group) for the training and testing of these models. Results The application of our AI models yielded promising results, with the predictive model reaching an accuracy of almost 88% when classifying texts that potentially originated from individuals with ASD. Conclusion Our research demonstrated the potential of using AI, particularly DL models, in enhancing the accuracy of ASD detection and diagnosis. This innovative approach signifies the critical role AI can play in advancing early diagnostic techniques, enabling better patient outcomes and underlining the importance of early identification of ASD, especially in children.SIUniversidad de Leó

Cutaneous manifestations of scleroderma: a therapeutic challenge

La esclerodermia es una conectivopatía crónica y multisistémica con alta morbi-mortalidad y de patogenia desconocida. Los principales síntomas son consecuencia del depósito de colágeno y el daño endotelial a nivel de corazón, pulmón, tubo digestivo, riñón y piel. La afectación cutánea puede llegar a ser muy incapacitante y empeorar de forma marcada la calidad de vida de los pacientes. En la presente revisión se repasan las principales manifestaciones dermatológicas de esta enfermedad, su diagnóstico y las posibilidades de tratamiento.Scleroderma is a chronic and multisystemic connective tissue disease with high morbidity and mortality and unknown pathogenesis. The main symptoms are a result of collagen deposition and endothelial damage at heart, lung, gastrointestinal tract, kidney and skin. The skin involvement can become disabling and markedly worsen the quality of life of patients. The present article reviews the main cutaneous manifestations of this disease, its diagnosis and treatment options

La innovación educativa aplicada a la Ictiopatología

Se ha elaborado un material aplicable a la docencia y que puede favorecer el ejercicio profesional de un veterinario y de otras áreas dedicados a la Acuicultura. Además, tiene el valor añadido de ser una colaboración entre docentes pertenecientes a dos Universidades

Current international projects in the Duero and Miño-Sil basins

[EN] This paper summarizes the research work that is being carried out within the framework of three international projects with a lifetime between 2022 and 2026: (1) LIFE-IP-Duero; (2) Supporting stakeholders for adaptive, resilience and sustainable water management; (3) IGCP- 730. (1) and (2) are developed in the Duero river basin and are funded by the European Commission meanwhile (3) is being developed in the Duero and Miño-Sil basins and is funded by the International Geosciences Programme (IGCP) of UNESCO.Peer reviewe

Methionine adenosyltransferase 1a antisense oligonucleotides activate the liver-brown adipose tissue axis preventing obesity and associated hepatosteatosis

Altered methionine metabolism is associated with weight gain in obesity. The methionine adenosyltransferase (MAT), catalyzing the first reaction of the methionine cycle, plays an important role regulating lipid metabolism. However, its role in obesity, when a plethora of metabolic diseases occurs, is still unknown. By using antisense oligonucleotides (ASO) and genetic depletion of Mat1a, here, we demonstrate that Mat1a deficiency in diet-induce obese or genetically obese mice prevented and reversed obesity and obesity-associated insulin resistance and hepatosteatosis by increasing energy expenditure in a hepatocyte FGF21 dependent fashion. The increased NRF2-mediated FGF21 secretion induced by targeting Mat1a, mobilized plasma lipids towards the BAT to be catabolized, induced thermogenesis and reduced body weight, inhibiting hepatic de novo lipogenesis. The beneficial effects of Mat1a ASO were abolished following FGF21 depletion in hepatocytes. Thus, targeting Mat1a activates the liver-BAT axis by increasing NRF2-mediated FGF21 secretion, which prevents obesity, insulin resistance and hepatosteatosis. High methionine and S-adenosylmethionine serum levels are related with obesity. Here the authors show that knockdown of methionine adenosyltransferase by using antisense oligonucleotides provides beneficial effects in obesity and comorbidities.This work was supported by Ayudas para apoyar grupos de investigacion del sistema Universitario Vasco (IT971-16) and MCIU/AEI/FEDER, UE (RTI2018-095134-B-100) (to P.A.), (RTI2018-099413-B-I00 and RED2018-102379-T) (to R.N.), PID2020119486RB-100 (to M.V.R.) and (RTI2018-096759-A-100) (to T.C.D). EFSD/Lilly European Diabetes Research Program, MICIU (PID2019-104399RB-I00), Fundacion AECC PROYE19047SABI, and Comunidad de Madrid IMMUNOTHERCAN-CM B2017/BMD-3733 (to G.S.). La CAIXA Foundation LCF/PR/HP17/52190004, MINECO-FEDER SAF2017-87301-R, AYUDAS FUNDACION BBVA A EQUIPOS DE INVESTIGACION CIENTIFICA UMBRELLA 2018 and AECC Scientific Foundation, grant name: Rare Cancers 2017 (to M.L.M.-C.). AECC Scientific Foundation (to T.C.D.). Xunta de Galicia 2020-PG015 (to R.N.) Gilead Sciences International Research Scholars Program in Liver Disease (to M.V.R.). Personal fellows: E.P.F. was awarded with Juan de la Cierva-Formacion, FJC2018-035449-I. C.F. was awarded with Sara Borrell (CD19/00078). CIC bioGUNE thanks MCIU for the Severo Ochoa Excellence Accreditation (SEV-2016-0644). The authors thank Dr. Manuel Lafitas laboratory (Getxo, Bizkaia, Spain) for his valuable help in the analysis of biochemical parameters

Guía de práctica clínica SENPE/SEGHNP/SEFH sobre nutrición parenteral pediátrica

Introduction: Parenteral nutrition (PN) in childhood is a treatment whose characteristics are highly variable depending on the age and pathology of the patient. Material and methods: The Standardization and Protocols Group of the Spanish Society for Parenteral and Enteral Nutrition (SENPE) is an interdisciplinary group formed by members of the SENPE, the Spanish Society of Gastroenterology, Hepatology and Pediatric Nutrition (SEGHNP) and the Spanish Society of Hospital Pharmacy (SEFH) that intends to update this issue. For this, a detailed review of the literature has been carried out, looking for the evidences that allow us to elaborate a Clinical Practice Guide following the criteria of the Oxford Center for Evidence-Based Medicine. Results: This manuscript summarizes the recommendations regarding indications, access routes, requirements, modifications in special situations, components of the mixtures, prescription and standardization, preparation, administration, monitoring, complications and home NP. The complete document is published as a monographic number. Conclusions: This guide is intended to support the prescription of pediatric PN. It provides the basis for rational decisions in the context of the existing evidence. No guidelines can take into account all of the often compelling individual clinical circumstances.Introducción: la nutrición parenteral (NP) en la infancia es un tratamiento cuyas características son muy variables en función de la edad y la patología que presente el paciente. Material y métodos: el grupo de Estandarización y Protocolos de la Sociedad Española de Nutrición Parenteral y Enteral (SENPE) es un grupo interdisciplinar formado por miembros de la SENPE, Sociedad Española de Gastroenterología, Hepatología y Nutrición Pediátrica (SEGHNP) y Sociedad Española de Farmacia Hospitalaria (SEFH) que pretende poner al día este tema. Para ello, se ha realizado una revisión pormenorizada de la literatura buscando las evidencias que nos permiten elaborar una Guía de Práctica Clínica siguiendo los criterios del Oxford Centre for Evidence-Based Medicine. Resultados: este manuscrito expone de forma resumida las recomendaciones en cuanto a indicaciones, vías de acceso, requerimientos, modificaciones en situaciones especiales, componentes de las mezclas, prescripción y estandarización, preparación, administración, monitorización, complicaciones y NP domiciliaria. El documento completo se publica como número monográfico. Conclusiones: esta guía pretende servir de apoyo para la prescripción de la NP pediátrica. Constituye la base para tomar decisiones en el contexto de la evidencia existente. Ninguna guía puede tener en cuenta todas las circunstancias clínicas individuale

Intermediate Molecular Phenotypes to Identify Genetic Markers of Anthracycline-Induced Cardiotoxicity Risk.

Cardiotoxicity due to anthracyclines (CDA) affects cancer patients, but we cannot predict who may suffer from this complication. CDA is a complex trait with a polygenic component that is mainly unidentified. We propose that levels of intermediate molecular phenotypes (IMPs) in the myocardium associated with histopathological damage could explain CDA susceptibility, so variants of genes encoding these IMPs could identify patients susceptible to this complication. Thus, a genetically heterogeneous cohort of mice (n = 165) generated by backcrossing were treated with doxorubicin and docetaxel. We quantified heart fibrosis using an Ariol slide scanner and intramyocardial levels of IMPs using multiplex bead arrays and QPCR. We identified quantitative trait loci linked to IMPs (ipQTLs) and cdaQTLs via linkage analysis. In three cancer patient cohorts, CDA was quantified using echocardiography or Cardiac Magnetic Resonance. CDA behaves as a complex trait in the mouse cohort. IMP levels in the myocardium were associated with CDA. ipQTLs integrated into genetic models with cdaQTLs account for more CDA phenotypic variation than that explained by cda-QTLs alone. Allelic forms of genes encoding IMPs associated with CDA in mice, including AKT1, MAPK14, MAPK8, STAT3, CAS3, and TP53, are genetic determinants of CDA in patients. Two genetic risk scores for pediatric patients (n = 71) and women with breast cancer (n = 420) were generated using machine-learning Least Absolute Shrinkage and Selection Operator (LASSO) regression. Thus, IMPs associated with heart damage identify genetic markers of CDA risk, thereby allowing more personalized patient management.J.P.L.’s lab is sponsored by Grant PID2020-118527RB-I00 funded by MCIN/AEI/10.13039/ 501100011039; Grant PDC2021-121735-I00 funded by MCIN/AEI/10.13039/501100011039 and by the “European Union Next Generation EU/PRTR”, the Regional Government of Castile and León (CSI144P20). J.P.L. and P.L.S. are supported by the Carlos III Health Institute (PIE14/00066). AGN laboratory and human patients’ studies are supported by an ISCIII project grant (PI18/01242). The Human Genotyping unit is a member of CeGen, PRB3, and is supported by grant PT17/0019 of the PE I + D + i 2013–2016, funded by ISCIII and ERDF. SCLl is supported by MINECO/FEDER research grants (RTI2018-094130-B-100). CH was supported by the Department of Defense (DoD) BCRP, No. BC190820; and the National Cancer Institute (NCI) at the National Institutes of Health (NIH), No. R01CA184476. Lawrence Berkeley National Laboratory (LBNL) is a multi-program national laboratory operated by the University of California for the DOE under contract DE AC02-05CH11231. The Proteomics Unit belongs to ProteoRed, PRB3-ISCIII, supported by grant PT17/0019/0023 of the PE I + D +i, 2017–2020, funded by ISCIII and FEDER. RCC is funded by fellowships from the Spanish Regional Government of Castile and León. NGS is a recipient of an FPU fellowship (MINECO/FEDER). hiPSC-CM studies were funded in part by the “la Caixa” Banking Foundation under the project code HR18-00304 and a Severo Ochoa CNIC Intramural Project (Exp. 12-2016 IGP) to J.J.S