👤 Eleonor I Fransson

Previous studies indicate that ambulance personnel have an increased risk of ill health. Shift work and time spent on physical behaviours during work and leisure are factors that could be related to health, however the research is limited. Thus, the aim of this study was to describe patterns of physical behaviours during and after work among Swedish ambulance personnel and to analyse the associations between physical behaviours and different work shifts. In this observational study, the physical behaviours of 63 ambulance personnel were measured over seven days using two accelerometers. Accelerometer data was processed using the MATLAB program Acti4, to identify physical behaviours i.e. sleep, being sedentary, light physical activity (LPA), and moderate to vigorous physical activity (MVPA), during and after work. To determine the association between shift types (independent) and patterns of physical behaviours (dependent), a Multivariate Analysis of Variance was performed on data processed according to compositional data analysis. At work, the highest proportion of both MVPA and being sedentary occurred during day shifts, compared to night and 24-h shifts (MVPA: 7% vs 4% and 5%; sedentary time: 62% vs 44% and 54% respectively). Night and 24-h shifts included 31% and 18% sleep, respectively. During the after-work periods, the highest proportions of MVPA were observed after 24-h shifts (8%). Overall, there was no statistically significant difference in physical behaviours during work and after work for various shift types. However, in a sub-analysis restricted to night and 24-h shifts, a statistically significant association between shift type and composition of physical behaviours during work was observed (η In general, ambulance personnel were physically active both during and after work. At the same time, work hours entailed a substantial amount of sedentary time. Shift type was not associated with the pattern of physical behaviours among ambulance personnel. However, during 24-h shift a lower proportion of the time was spent sleeping compared to during night shift. Studies with larger sample sizes are needed to confirm these results. The online version contains supplementary material available at 10.1186/s12889-026-27335-y. Show less

Several studies have indicated that broad genomic characterization of childhood cancer provides diagnostically and/or therapeutically relevant information in selected high-risk cases. However, the extent to which such characterization offers clinically actionable data in a prospective broadly inclusive setting remains largely unexplored. We implemented prospective whole-genome sequencing (WGS) of tumor and germline, complemented by whole-transcriptome sequencing (RNA-Seq) for all children diagnosed with a primary or relapsed solid malignancy in Sweden. Multidisciplinary molecular tumor boards were set up to integrate genomic data in the clinical decision process along with a medicolegal framework enabling secondary use of sequencing data for research purposes. During the study's first 14 months, 118 solid tumors from 117 patients were subjected to WGS, with complementary RNA-Seq for fusion gene detection in 52 tumors. There was no significant geographic bias in patient enrollment, and the included tumor types reflected the annual national incidence of pediatric solid tumor types. Of the 112 tumors with somatic mutations, 106 (95%) exhibited alterations with a clear clinical correlation. In 46 of 118 tumors (39%), sequencing only corroborated histopathological diagnoses, while in 59 cases (50%), it contributed to additional subclassification or detection of prognostic markers. Potential treatment targets were found in 31 patients (26%), most commonly Up-front, large-scale genomic characterization of pediatric solid malignancies provides diagnostically valuable data in the majority of patients also in a largely unselected cohort. Show less

High-risk neuroblastomas typically display an undifferentiated or poorly differentiated morphology. It is therefore vital to understand molecular mechanisms that block the differentiation process. We identify an important role for oncogenic ALK-ERK1/2-SP1 signaling in the maintenance of undifferentiated neural crest-derived progenitors through the repression of DLG2, a candidate tumor suppressor gene in neuroblastoma. DLG2 is expressed in the murine "bridge signature" that represents the transcriptional transition state when neural crest cells or Schwann cell precursors differentiate to chromaffin cells of the adrenal gland. We show that the restoration of DLG2 expression spontaneously drives neuroblastoma cell differentiation, highlighting the importance of DLG2 in this process. These findings are supported by genetic analyses of high-risk 11q deletion neuroblastomas, which identified genetic lesions in the DLG2 gene. Our data also suggest that further exploration of other bridge genes may help elucidate the mechanisms underlying the differentiation of NC-derived progenitors and their contribution to neuroblastomas. Show less

Recent studies indicate that the immune system adaptation during pregnancy could play a significant role in the pathophysiology of perinatal depression. The aim of this study was to investigate if inflammation markers in a late pregnancy plasma sample can predict the presence of depressive symptoms at eight weeks postpartum. Blood samples from 291 pregnant women (median and IQR for days to delivery, 13 and 7-23days respectively) comprising 63 individuals with postpartum depressive symptoms, as assessed by the Edinburgh postnatal depression scale (EPDS≥12) and/or the Mini International Neuropsychiatric Interview (M.I.N.I.) and 228 controls were analyzed with an inflammation protein panel using multiplex proximity extension assay technology, comprising of 92 inflammation-associated markers. A summary inflammation variable was also calculated. Logistic regression, LASSO and Elastic net analyses were implemented. Forty markers were lower in late pregnancy among women with depressive symptoms postpartum. The difference remained statistically significant for STAM-BP (or otherwise AMSH), AXIN-1, ADA, ST1A1 and IL-10, after Bonferroni correction. The summary inflammation variable was ranked as the second best variable, following personal history of depression, in predicting depressive symptoms postpartum. The protein-level findings for STAM-BP and ST1A1 were validated in relation to methylation status of loci in the respective genes in a different population, using openly available data. This explorative approach revealed differences in late pregnancy levels of inflammation markers between women presenting with depressive symptoms postpartum and controls, previously not described in the literature. Despite the fact that the results do not support the use of a single inflammation marker in late pregnancy for assessing risk of postpartum depression, the use of STAM-BP or the novel notion of a summary inflammation variable developed in this work might be used in combination with other biological markers in the future. Show less