Usefulness of analysis of cerebrospinal fluid for the diagnosis of neurotransmitters and pterin defects and glucose and folate transport deficiencies across blood brain barrier

Med Clin (Barc). 2006 Jun 17;127(3):81-5. [Usefulness of analysis of cerebrospinal fluid for the diagnosis of neurotransmitters and pterin defects and glucose and folate transport deficiencies across blood brain barrier] [Article in Spanish] Ormazabal A, García Cazorla A, Pérez Dueñas B, Pineda M, Ruiz A, López Laso E, García Silva M, Carilho I, Barbot C, Cormand B, Ribases M, Moller L, Fernández Alvarez E, Campistol J, Artuch R. Hospital Sant Joan de Déu, Esplugues, Barcelona, España. Abstract BACKGROUND AND OBJECTIVE: In the last few years, it has been described inborn errors of neurotransmitter and pterin metabolism and defects in folate and glucose transport across blood brain barrier. All these defects are classified as rare diseases and needs cerebrospinal fluid (CSF) sample analysis for diagnosis. Our aim was to evaluate the results of the application of a CSF analysis protocol in a pediatric population from Spain and Portugal presenting with neurological disorders of unknown origin. PATIENTS AND METHOD: We studied CSF samples from and 283 patients with neurological disorders of unknown origin and 127 controls. Neurotransmitters were analysed by HPLC with electrochemical detection, and pterins and 5-methyltetrahydrofolate were determined by HPLC with fluorescence detection. RESULTS: We diagnosed 3 patients with tyrosine hidroxylase deficiency, 2 with dopa responsive dystonia, 14 with GTP-ciclohydrolase deficiency, 2 with glucose transport deficiency and 43 with cerebral folate deficiency. CONCLUSIONS: This study allowed us to diagnose new patients, and more importantly, the establishment in all of them of a pharmacological or nutritional treatment. The most frequent defect found was CSF 5-methyltetrahydrofolate deficiency, which was present in different groups of patients. PMID: 16827996 [PubMed - indexed for MEDLINE

Remote sensing of lunar aureole with a sky camera: Adding information in the nocturnal retrieval of aerosol properties with GRASP code

The use of sky cameras for nocturnal aerosol characterization is discussed in this study. Two sky cameras are configured to take High Dynamic Range (HDR) images at Granada and Valladolid (Spain). Some properties of the cameras, like effective wavelengths, sky coordinates of each pixel and pixel sensitivity, are characterized. After that, normalized camera radiances at lunar almucantar points (up to 20° in azimuth from the Moon) are obtained at three effective wavelengths from the HDR images. These normalized radiances are compared in different case studies to simulations fed with AERONET aerosol information, giving satisfactory results. The obtained uncertainty of normalized camera radiances is around 10% at 533 nm and 608 nm and 14% for 469 nm. Normalized camera radiances and six spectral aerosol optical depth values (obtained from lunar photometry) are used as input in GRASP code (Generalized Retrieval of Aerosol and Surface Properties) to retrieve aerosol properties for a dust episode over Valladolid. The retrieved aerosol properties (refractive indices, fraction of spherical particles and size distribution parameters) are in agreement with the nearest diurnal AERONET products. The calculated GRASP retrieval at night time shows an increase in coarse mode concentration along the night, while fine mode properties remained constant.This work was supported by the Andalusia Regional Government (project P12-RNM-2409) and by the “Consejería de Educación, Junta de Castilla y León” (project VA100U14).Spanish Ministry of Economy and Competitiveness and FEDER funds under the projects CGL2013-45410-R, CMT2015-66742-R, CGL2016-81092-R.“Juan de la Cierva-Formación” program (FJCI-2014-22052).European Union's Horizon 2020 research and innovation programme through project ACTRIS-2 (grant agreement No 654109)

Los factores ambientales, luz y temperatura, modifican la formación de la biopelícula en Pseudomonas syringae pv. syringae.

Comunicación a congreso en formato pósterLas biopelículas bacterianas están formadas por agregados celulares embebidos en una matriz extracelular de producción propia, formada principalmente por exopolisacáridos (EPS), proteínas y ADN extracelular. Existen datos recientes que sugieren que entre el 40-80% de las bacterias se encuentran formando biopelículas en la naturaleza, y que la formación de las biopelículas se ve afectada por factores ambientales. Pseudomonas syringae pv. syringae (Pss) es una bacteria fitopatógena causante de la necrosis apical del mango (NAM), enfermedad limitante de la producción de este cultivo en la región mediterránea. En Pss se ha descrito una conexión entre factores ambientales y la incidencia y severidad de la NAM, jugando los EPS celulosa y uno tipo-Psl, un papel relevante en la transición entre un estilo de vida epífito o patogénico. En este trabajo, se ha analizado el papel de algunos factores ambientales relevantes como son la luz y la temperatura en la formación de la biopelícula in vitro en una colección de cepas de Pss aisladas de mango. Los resultados obtenidos sugieren que la temperatura y particularmente la luz pueden influir en la formación de las biopelículas a través de la biosíntesis de los EPS, principalmente celulosa. Además, también se ha observado como niveles más bajos de producción de celulosa podrían estar asociados con una mayor virulencia. Estos resultados indican que los EPS, y principalmente celulosa juegan un papel clave en la ecología de Pss sobre la planta de mango a través de la formación de la biopelícula.Este trabajo ha sido financiado por Proyectos de Excelencia de la Junta de Andalucía (P12- AGR-1473), cofinanciado con ayudas a proyectos I+D+i en el marco del Programa Operativo FEDER Andalucía (UMA20-FEDERJA-060), y la Universidad de Málaga. Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Utilization study in real clinical practice of ceftolozane/tazobactam vs aminoglycosides and/or colistin in the treatment of multirresistant or extremely resistant Pseudomonas aeruginosa

Introduction. Comparative “real life” data on the effectiveness and safety of ceftolozane/tazobactam (C/T) versus other regimens (aminoglycosides/colistin/combination), in the treatment of multi-resistant (MDR) and extremely resistant (XDR) Pseudomonas aeruginosa (PA), are needed to establish positions. Material and methods. Observational, retrospective study of patients with microbiological confirmation of MDR and XDR PA from July 2016 up to December 2018 in a tertiary hospital. Variables: age, sex, comorbidities, risk factors for multidrug resistance, variables related to infection, source of infection, microorganism and type of sample, antibiotic treatment, clinical cure, microbiological cure, recurrence, mortality on admission and 30 days post-discharge. Patients were classified according to received antibiotic treatment, C/T or aminoglycosides/colistin/combination Results. A total of 405 patients with PA MDR and XDR infection (73.1% men, mean age 63 ± 15 years) were studied. An 87.1% of PA XDR and a 12.9% MDR were observed. All patients received C/T as targeted therapy and in the amino-glycosides/colistin/combination group were 73.5%. Patients in the C/T group present worse prognostic factors: septic shock (30.0%) and catheterization (90.0%) (p<0.05). There were not statistically significant differences in microbiological cure (p=0.412), recurrence (p=0.880) and clinical cure (p=0.566). There were not statistically significant differences in mortality at admission (p=0.352) or at 30 days after discharge (p=0.231). A 17.2% of the patients with aminoglycosides/colistin/combination had acute kidney injury according to RIFLE criteria and 4.3% with C/T. Conclusions. The data obtained suggest that there have been no differences in effectiveness (clinical or microbiological cure) in favour of C/T, although, in the period studied, it was used in most cases in multitreated patients with a worse prognosis. Randomized and prospective studies would be needed to establish an adequate positioning. © The Author 2021

Insights into the expanding phenotypic spectrum of inherited disorders of biogenic amines

Inherited disorders of neurotransmitter metabolism are rare neurodevelopmental diseases presenting with movement disorders and global developmental delay. This study presents the results of the first standardized deep phenotyping approach and describes the clinical and biochemical presentation at disease onset as well as diagnostic approaches of 275 patients from the registry of the International Working Group on Neurotransmitter related Disorders. The results reveal an increased rate of prematurity, a high risk for being small for gestational age and for congenital microcephaly in some disorders. Age at diagnosis and the diagnostic delay are influenced by the diagnostic methods applied and by disease-specific symptoms. The timepoint of investigation was also a significant factor: delay to diagnosis has decreased in recent years, possibly due to novel diagnostic approaches or raised awareness. Although each disorder has a specific biochemical pattern, we observed confounding exceptions to the rule. The data provide comprehensive insights into the phenotypic spectrum of neurotransmitter disorders

Characterization of Tajogaite volcanic plumes detected over the Iberian Peninsula from a set of satellite and ground-based remote sensing instrumentation

Three volcanic plumes were detected during the Tajogaite volcano eruptive activity (Canary Islands, Spain, September–December 2021) over the Iberian Peninsula. The spatiotemporal evolution of these events is characterised by combining passive satellite remote sensing and ground-based lidar and sun-photometer systems. The inversion algorithm GRASP is used with a suite of ground-based remote sensing instruments such as lidar/ ceilometer and sun-photometer from eight sites at different locations throughout the Iberian Peninsula. Satellite observations showed that the volcanic ash plumes remained nearby the Canary Islands covering a mean area of 120 ± 202 km2 during the whole period of eruptive activity and that sulphur dioxide plumes reached the Iberian Peninsula

ClinPrior: an algorithm for diagnosis and novel gene discovery by network-based prioritization

BackgroundWhole-exome sequencing (WES) and whole-genome sequencing (WGS) have become indispensable tools to solve rare Mendelian genetic conditions. Nevertheless, there is still an urgent need for sensitive, fast algorithms to maximise WES/WGS diagnostic yield in rare disease patients. Most tools devoted to this aim take advantage of patient phenotype information for prioritization of genomic data, although are often limited by incomplete gene-phenotype knowledge stored in biomedical databases and a lack of proper benchmarking on real-world patient cohorts.MethodsWe developed ClinPrior, a novel method for the analysis of WES/WGS data that ranks candidate causal variants based on the patient's standardized phenotypic features (in Human Phenotype Ontology (HPO) terms). The algorithm propagates the data through an interactome network-based prioritization approach. This algorithm was thoroughly benchmarked using a synthetic patient cohort and was subsequently tested on a heterogeneous prospective, real-world series of 135 families affected by hereditary spastic paraplegia (HSP) and/or cerebellar ataxia (CA).ResultsClinPrior successfully identified causative variants achieving a final positive diagnostic yield of 70% in our real-world cohort. This includes 10 novel candidate genes not previously associated with disease, 7 of which were functionally validated within this project. We used the knowledge generated by ClinPrior to create a specific interactome for HSP/CA disorders thus enabling future diagnoses as well as the discovery of novel disease genes.ConclusionsClinPrior is an algorithm that uses standardized phenotype information and interactome data to improve clinical genomic diagnosis. It helps in identifying atypical cases and efficiently predicts novel disease-causing genes. This leads to increasing diagnostic yield, shortening of the diagnostic Odysseys and advancing our understanding of human illnesses