Satisfaction of patients with mechanical neck disorders attended to by primary care physical therapists

8 p.Objective: To describe the satisfaction and expectations of the patients with neck pain with relation to the physical therapy received and to analyse the relationship between the patient's characteristics and his degree of satisfaction and expectation. Design: This study is performed in the setting of a random clinical trial. Participants: Subjects between 18 and 60 years of age with subacute mechanical neck disorders. Main variables: Patient's expectations and satisfaction with the received treatment (scale similar to Likert's Scale). OTHER VARIABLES: Pain intensity, episodes of previous neck pain, depression and anxiety symptoms (Goldberg Scale), age and gender, physical disability, general state of health, duration of the present episode of neck pain, regular exercise and regular consumption of medicines. Results and conclusions: A total of 90 patients were studied. The mean age was 40.1 years and 88.9% were female. Thirteen per cent of the subjects expected partial relief, 60% expected good recovery and 27% expected complete recovery. Those patients who have not suffered previous episodes of neck pain and those who have a higher score on the Goldberg Scale have a higher expectation of recovering after the treatment. About patients' satisfaction after the intervention, 2% totally unsatisfied, 1% very unsatisfied, 2% somewhat unsatisfied, 2% indifferent, 17% somewhat satisfied, 42% very satisfied and 30% totally satisfied. Those patients who experienced a greater decrease in pain were more satisfied. It would be interesting to study in depth the measurement of patients' satisfaction with the received physical therapy and to extend it to other pathologies.Fondo de Investigación Sanitari

Tumor P70S6K hyperactivation is inversely associated with tumor-infiltrating lymphocytes in triple-negative breast cancer

Purpose: Triple-negative breast cancer (TNBC) is characterized by large heterogeneity and relative lack of available targeted therapies. To find therapeutic strategies for distinct patients with TNBC, several approaches have been used for TNBC clustering, including recently immune and phosphoproteomic patterns. Based on 70-kDa ribosomal protein S6 kinase (P70S6K)-TNBC clustering, the current study explores the immune profiling in TNBC tumors. Methods: Stromal tumor-infiltrating lymphocytes (sTILs) were evaluated in human TNBC tumor samples. Furthermore, immunohistochemistry staining for CD8, CD4, Foxp3, and CD20 was performed in tissue microarrays (TMA) sections. Results: Histological analysis showed decreased sTILs, CD20+ cells, and CD8+/CD4+ ratio in high phosphorylated P70S6K (p-P70S6K) tumors. Moreover, p-P70S6K score was directly correlated with CD4+ and Foxp3+ T cells, while it was inversely correlated with CD8+/CD4+ and CD8+/Foxp3+ ratios. Conclusion: sTIL infiltration and lymphocyte profiling vary in the context of hyperactivation of P70S6K in TNBC tumorsThe project has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No 893597. RC is a recipient of the ISCIII grants: PI17/01865 and PI20/01458. MQF is a recipient of the following Grants: AES-PI19/00454 funded by the ISCIII and co-funded by the European Regional Development Fund (ERDF) and B2017/BMD3733 (Immunothercan-CM)—Call for Coordinated Research Groups from Madrid Region—Madrid Regional Government—ERDF funds. The study was also funded by CRIS Contra el Cancer Foundatio

Aprendizaje autónomo en Matemáticas aplicadas a la edificación: simbiosis entre WebCT y software matemático

En el presente artículo analizamos el proceso de adaptación a enseñanza virtual de las asignaturas del área de Matemática Aplicada en las titulaciones de Arquitectura Técnica e Ingeniería en Edificación, mostrando aquellos aspectos que creemos conveniente mejorar

IAA : Información y actualidad astronómica (72) (2024)

Proyecto DUSTER.- ULIRGs: unas galaxias muy brillantes que no se ven.- El Moby Dick de ... Gabriella Gilli (IAA-CSIC).- El consultorio astronómico de la doctora Aniceta Puppis.- Historias ... El dolor no prescribe: la mandíbula de Mollie.- Deconstrucción ... Estrella que brilla a través de un prisma: fotometría de colores.- Actualidad.- Pilares e Incertidumbres ... Mujeres en áreas STEM.- Pequeñas miradas ... Vida a bordo de la Estación Espacial Internacional.Este número ha contado con el apoyo económico de la Agencia Estatal de Investigación (Ministerio de Ciencia, Innovación y Universidades) a través de la acreditación de Centro de Excelencia Severo Ochoa para el Instituto de Astrofísica de Andalucía (SEV-2017-0709). La página web de esta revista ha sido financiada por la Sociedad Española de Astronomía (SEA).Peer reviewe

High IGKC-Expressing Intratumoral Plasma Cells Predict Response to Immune Checkpoint Blockade.

Este artículo ha sido publicado en la revista International Journal of Molecular Sciences. Esta versión tiene Licencia Creative Commons CC-BYResistance to Immune Checkpoint Blockade (ICB) constitutes the current limiting factor for the optimal implementation of this novel therapy, which otherwise demonstrates durable responses with acceptable toxicity scores. This limitation is exacerbated by a lack of robust biomarkers. In this study, we have dissected the basal TME composition at the gene expression and cellular levels that predict response to Nivolumab and prognosis. BCR, TCR and HLA profiling were employed for further characterization of the molecular variables associated with response. The findings were validated using a single-cell RNA-seq data of metastatic melanoma patients treated with ICB, and by multispectral immunofluorescence. Finally, machine learning was employed to construct a prediction algorithm that was validated across eight metastatic melanoma cohorts treated with ICB. Using this strategy, we have unmasked a major role played by basal intratumoral Plasma cells expressing high levels of IGKC in efficacy. IGKC, differentially expressed in good responders, was also identified within the Top response-related BCR clonotypes, together with IGK variants. These results were validated at gene, cellular and protein levels; CD138+ Plasma-like and Plasma cells were more abundant in good responders and correlated with the same RNA-seq-defined fraction. Finally, we generated a 15-gene prediction model that outperformed the current reference score in eight ICB-treated metastatic melanoma cohorts. The evidenced major contribution of basal intratumoral IGKC and Plasma cells in good response and outcome in ICB in metastatic melanoma is a groundbreaking finding in the field beyond the role of T lymphocytes

CSVS, a crowdsourcing database of the Spanish population genetic variability

The knowledge of the genetic variability of the local population is of utmost importance in personalized medicine and has been revealed as a critical factor for the discovery of new disease variants. Here, we present the Collaborative Spanish Variability Server (CSVS), which currently contains more than 2000 genomes and exomes of unrelated Spanish individuals. This database has been generated in a collaborative crowdsourcing effort collecting sequencing data produced by local genomic projects and for other purposes. Sequences have been grouped by ICD10 upper categories. A web interface allows querying the database removing one or more ICD10 categories. In this way, aggregated counts of allele frequencies of the pseudo-control Spanish population can be obtained for diseases belonging to the category removed. Interestingly, in addition to pseudo-control studies, some population studies can be made, as, for example, prevalence of pharmacogenomic variants, etc. In addition, this genomic data has been used to define the first Spanish Genome Reference Panel (SGRP1.0) for imputation. This is the first local repository of variability entirely produced by a crowdsourcing effort and constitutes an example for future initiatives to characterize local variabilityworldwide. CSVS is also part of the GA4GH Beacon network.Spanish Ministry of Economy and Competitiveness SAF2017-88908-R PT17/0009/0006 PI19/00321 CIBERER ACCI-06/07/0036 PI14-948 PI171659Regional Government of Madrid, RAREGenomicsCM B2017/BMD3721 B2017/BMD-3721European Union (EU)European Union (EU) 676559University Chair UAM-IIS-FJD of Genomic MedicineRamon Areces Foundatio

Examining the immune signatures of SARS-CoV-2 infection in pregnancy and the impact on neurodevelopment: Protocol of the SIGNATURE longitudinal study.

The COVID-19 pandemic represents a valuable opportunity to carry out cohort studies that allow us to advance our knowledge on pathophysiological mechanisms of neuropsychiatric diseases. One of these opportunities is the study of the relationships between inflammation, brain development and an increased risk of suffering neuropsychiatric disorders. Based on the hypothesis that neuroinflammation during early stages of life is associated with neurodevelopmental disorders and confers a greater risk of developing neuropsychiatric disorders, we propose a cohort study of SARS-CoV-2-infected pregnant women and their newborns. The main objective of SIGNATURE project is to explore how the presence of prenatal SARS-CoV-2 infection and other non-infectious stressors generates an abnormal inflammatory activity in the newborn. The cohort of women during the COVID-19 pandemic will be psychological and biological monitored during their pregnancy, delivery, childbirth and postpartum. The biological information of the umbilical cord (foetus blood) and peripheral blood from the mother will be obtained after childbirth. These samples and the clinical characterisation of the cohort of mothers and newborns, are tremendously valuable at this time. This is a protocol report and no analyses have been conducted yet, being currently at, our study is in the recruitment process step. At the time of this publication, we have identified 1,060 SARS-CoV-2 infected mothers and all have already given birth. From the total of identified mothers, we have recruited 537 SARS-COV-2 infected women and all of them have completed the mental health assessment during pregnancy. We have collected biological samples from 119 mothers and babies. Additionally, we have recruited 390 non-infected pregnant women

A crowdsourcing database for the copy-number variation of the Spanish population

Background: Despite being a very common type of genetic variation, the distribution of copy-number variations (CNVs) in the population is still poorly understood. The knowledge of the genetic variability, especially at the level of the local population, is a critical factor for distinguishing pathogenic from non-pathogenic variation in the discovery of new disease variants. Results: Here, we present the SPAnish Copy Number Alterations Collaborative Server (SPACNACS), which currently contains copy number variation profiles obtained from more than 400 genomes and exomes of unrelated Spanish individuals. By means of a collaborative crowdsourcing effort whole genome and whole exome sequencing data, produced by local genomic projects and for other purposes, is continuously collected. Once checked both, the Spanish ancestry and the lack of kinship with other individuals in the SPACNACS, the CNVs are inferred for these sequences and they are used to populate the database. A web interface allows querying the database with different filters that include ICD10 upper categories. This allows discarding samples from the disease under study and obtaining pseudo-control CNV profiles from the local population. We also show here additional studies on the local impact of CNVs in some phenotypes and on pharmacogenomic variants. SPACNACS can be accessed at: http://csvs.clinbioinfosspa.es/spacnacs/. Conclusion: SPACNACS facilitates disease gene discovery by providing detailed information of the local variability of the population and exemplifies how to reuse genomic data produced for other purposes to build a local reference database