| 11. |
- Borg, Tor, et al.
(författare)
-
Mått på bostadsbristen : Förslag på hur återkommande bedömningar ska utföras
- 2020
-
Rapport (övrigt vetenskapligt/konstnärligt)abstract
- Boverket fick i juni 2019 i uppdrag av regeringen att lämna förslag på hur återkommande bedömningar av bostadsbristen ska utföras samt att lämna förslag på enhetliga begrepp som ska användas vid kommunikation kring bostadsbristen. Avsikten är att de presenterade beräkningarna ska kunna användas i arbetet med bostadsförsörjningsfrågor och underlätta arbetet med att planera, utföra och följa upp insatser för att åtgärda bostadsbristen. Boverket har tagit fram en årlig beräkningsmodell där antalet hushåll som saknar en rimlig bostad beräknas på både nationell, regional och lokal nivå. Vad som är en rimlig bostad definieras enligt en uppsättning kriterier och normer. Kvantitativa mått visar hur många hushåll som har en boendesituation som inte uppfyller de olika kriterierna. Samråd har skett med Sveriges Kommuner och Regioner (SKR) samt med Socialstyrelsen under uppdragets gång. Båda anser att de givits utrymme att framföra sin mening och har förklarat sig nöjda med samrådet. Avstämningar har också gjorts med en rad andra aktörer. Denna rapport utgör Boverkets slutredovisning av uppdraget. Rapporten har tagits fram av en projektgrupp bestående av Tor Borg, Bengt J Eriksson, Oskar Gramstad, Ulla-Christel Götherström, Hans Jonsson, Bo Söderberg och Hang Zettervall, med den förstnämnda som projektledare.
|
|
| 12. |
- Borgmästars, Emmy, et al.
(författare)
-
Circulating tissue polypeptide-specific antigen in pre-diagnostic pancreatic cancer samples
- 2021
-
Ingår i: Cancers. - : MDPI. - 2072-6694. ; 13:21
-
Tidskriftsartikel (refereegranskat)abstract
- Early detection of pancreatic ductal adenocarcinoma (PDAC) is challenging, and late diagnosis partly explains the low 5-year survival. Novel and sensitive biomarkers are needed to enable early PDAC detection and improve patient outcomes. Tissue polypeptide specific antigen (TPS) has been studied as a biomarker in PDAC diagnostics, and it has previously been shown to reflect clinical status better than the ‘golden standard’ biomarker carbohydrate antigen 19-9 (CA 19-9) that is most widely used in the clinical setting. In this cross-sectional case-control study using pre-diagnostic plasma samples, we aim to evaluate the potential of TPS as a biomarker for early PDAC detection. Furthermore, in a subset of individuals with multiple samples available at different time points before diagnosis, a longitudinal analysis was used. We assessed plasma TPS levels using enzyme-linked immunosorbent assay (ELISA) in 267 pre-diagnostic PDAC plasma samples taken up to 18.8 years before clinical PDAC diagnosis and in 320 matched healthy controls. TPS levels were also assessed in 25 samples at PDAC diagnosis. Circulating TPS levels were low both in pre-diagnostic samples of future PDAC patients and in healthy controls, whereas TPS levels at PDAC diagnosis were significantly increased (odds ratio 1.03; 95% confidence interval: 1.01–1.05) in a logistic regression model adjusted for age. In conclusion, TPS levels increase late in PDAC progression and hold no potential as a biomarker for early detection.
|
|
| 13. |
- Borgmästars, Emmy, 1990-
(författare)
-
In search of early biomarkers in pancreatic ductal adenocarcinoma using multi-omics and bioinformatics
- 2022
-
Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Background: Pancreatic ductal adenocarcinoma (PDAC) is a very aggressive malignancy with a 5-year survival of 10 %. Surgery is the only curative treatment. Unfortunately, few patients are eligible for surgery due to late detection. Thus, we need ways to detect the disease at an earlier stage and for that good screening biomarkers could be used. Previous studies have analyzed circulating analytes in prospective studies to identify early PDAC signals. One such class is microRNAs (miRNAs). MicroRNAs are non-coding RNAs of around 22 nucleotides that act as post- transcriptional regulators by interaction with messenger RNAs (mRNAs). The function of a miRNA can be elucidated by target prediction, to identify its potential targets, followed by enrichment analysis of the predicted targets. Challenges with this approach includes a lot of false positives being generated and that miRNAs can perform their role in a tissue- or disease-specific manner. Other classes of analytes that have previously been studied in prospective PDAC cohorts are metabolites and proteins. Aims: This thesis has three aims. First, to build a miRNA functional analysis pipeline with correlation support between miRNA and its predicted target genes. Second, to identify potential circulating biomarkers for early detection of PDAC using multi-omics. Third, to identify potential prognostic metabolites in a prospective PDAC cohort.Methods: We used publicly available data from the cancer genome atlas-pancreatic adenocarcinoma (TCGA-PAAD) and pre-diagnostic plasma samples from the Northern Sweden Health and Disease Study. We built a pipeline in R including miRNA, mRNA, and protein expression data from TCGA-PAAD for in silico miRNA functional analysis. Pre- diagnostic plasma samples from future PDAC patients as well as matched healthy controls were analyzed using multi- omics. Tissue polypeptide specific antigen (TPS) was analyzed by enzyme linked immunosorbent assay in 267 future PDAC samples and 320 healthy controls. Metabolomics and clinical biomarkers (carbohydrate antigen (CA) 19-9, carcinoembryonic antigen (CEA), and CA 15-3) were profiled in 100 future PDAC samples and 100 healthy controls using liquid chromatography-mass spectrometry (MS), gas chromatography-MS, and multi-plex technology. Of these, a subset of 39 future PDAC patients and 39 healthy controls were profiled for 2083 microRNAs using targeted sequencing and 644 proteins using proximity extension assays. Circulating levels of multi-omics analytes were analyzed using conditional or unconditional logistic regression. Least absolute shrinkage and selection operator (LASSO) in combination with 500 bootstrap iterations identified the most informative variables. The prognostic value of metabolites was assessed using cox regression. Multi-omics factor analysis (MOFA) and data integration analysis for biomarker discovery using latent components (DIABLO) were used for multi-omics integration analyses.Results: An automated pipeline was built consisting of 1) miRNA target prediction, 2) correlation analyses between miRNA and its targets on mRNA and protein expression levels, and 3) functional enrichment of correlated targets to identify enriched Kyoto encyclopedia of genes and genomes (KEGG) pathways and gene ontology (GO) terms for a specific miRNA. The pipeline was run for all microRNAs (~700) detected in the TCGA-PAAD cohort. These results can be downloaded from a shiny app (https://emmbor.shinyapps.io/mirfa/). TPS was not altered in pre-diagnostic PDAC patients up to 24 years prior to diagnosis, but increased at diagnosis (OR = 1.03, 95 % CI: 1.01-1.05). Internal area under curves of 0.74, 0.80, and 0.88 were achieved for five metabolites, two proteins, and two miRNAs that were selected by LASSO and bootstrap iterations, in combination with CA 19-9. Neither MOFA nor DIABLO separated well between future PDAC cases and healthy controls. Conclusions: Our bioinformatics pipeline for in silico functional analysis of microRNAs successfully identifies enriched KEGG pathways and GO terms for miRNA isoforms. The investigated plasma samples are heterogeneous, but among the analyzed variables, we identified five metabolites, two proteins, and two microRNAs with highest potential for early PDAC detection. CA 19-9 levels increased closer to diagnosis. We identified five fatty acids that could be studied in a diagnostic PDAC cohort as prognostic biomarkers.
|
|
| 14. |
|
|
| 15. |
- Borgmästars, Emmy, et al.
(författare)
-
Metabolomics for early pancreatic cancer detection in plasma samples from a Swedish prospective population-based biobank
- 2024
-
Ingår i: Journal of Gastrointestinal Oncology. - : AME Publishing Company. - 2078-6891 .- 2219-679X. ; 15:2, s. 755-767
-
Tidskriftsartikel (refereegranskat)abstract
- Background: Pancreatic ductal adenocarcinoma (pancreatic cancer) is often detected at late stages resulting in poor overall survival. To improve survival, more patients need to be diagnosed early when curative surgery is feasible. We aimed to identify circulating metabolites that could be used as early pancreatic cancer biomarkers.Methods: We performed metabolomics by liquid and gas chromatography-mass spectrometry in plasma samples from 82 future pancreatic cancer patients and 82 matched healthy controls within the Northern Sweden Health and Disease Study (NSHDS). Logistic regression was used to assess univariate associations between metabolites and pancreatic cancer risk. Least absolute shrinkage and selection operator (LASSO) logistic regression was used to design a metabolite-based risk score. We used receiver operating characteristic (ROC) analyses to assess the discriminative performance of the metabolite-based risk score.Results: Among twelve risk-associated metabolites with a nominal P value <0.05, we defined a risk score of three metabolites [indoleacetate, 3-hydroxydecanoate (10:0-OH), and retention index (RI): 2,745.4] using LASSO. A logistic regression model containing these three metabolites, age, sex, body mass index (BMI), smoking status, sample date, fasting status, and carbohydrate antigen 19-9 (CA 19-9) yielded an internal area under curve (AUC) of 0.784 [95% confidence interval (CI): 0.714–0.854] compared to 0.681 (95% CI: 0.597–0.764) for a model without these metabolites (P value =0.007). Seventeen metabolites were significantly associated with pancreatic cancer survival [false discovery rate (FDR) <0.1].Conclusions: Indoleacetate, 3-hydroxydecanoate (10:0-OH), and RI: 2,745.4 were identified as the top candidate biomarkers for early detection. However, continued efforts are warranted to determine the usefulness of these metabolites as early pancreatic cancer biomarkers.
|
|
| 16. |
- Borgmästars, Emmy, et al.
(författare)
-
Multi-omics profiling to identify early plasma biomarkers in pre-diagnostic pancreatic ductal adenocarcinoma : a nested case-control study
- 2024
-
Ingår i: Translational Oncology. - : Elsevier. - 1944-7124 .- 1936-5233. ; 48
-
Tidskriftsartikel (refereegranskat)abstract
- Pancreatic ductal adenocarcinoma (PDAC) is an aggressive disease with poor survival. Novel biomarkers are urgently needed to improve the outcome through early detection. Here, we aimed to discover novel biomarkers for early PDAC detection using multi-omics profiling in pre-diagnostic plasma samples biobanked after routine health examinations.A nested case-control study within the Northern Sweden Health and Disease Study was designed. Pre-diagnostic plasma samples from 37 future PDAC patients collected within 2.3 years before diagnosis and 37 matched healthy controls were included. We analyzed metabolites using liquid chromatography mass spectrometry and gas chromatography mass spectrometry, microRNAs by HTG edgeseq, proteins by multiplex proximity extension assays, as well as three clinical biomarkers using milliplex technology. Supervised and unsupervised multi-omics integration were performed as well as univariate analyses for the different omics types and clinical biomarkers. Multiple hypothesis testing was corrected using Benjamini-Hochberg's method and a false discovery rate (FDR) below 0.1 was considered statistically significant.Carbohydrate antigen (CA) 19-9 was associated with PDAC risk (OR [95 % CI] = 3.09 [1.31–7.29], FDR = 0.03) and increased closer to PDAC diagnosis. Supervised multi-omics models resulted in poor discrimination between future PDAC cases and healthy controls with obtained accuracies between 0.429–0.500. No single metabolite, microRNA, or protein was differentially altered (FDR < 0.1) between future PDAC cases and healthy controls.CA 19-9 levels increase up to two years prior to PDAC diagnosis but extensive multi-omics analysis including metabolomics, microRNAomics and proteomics in this cohort did not identify novel early biomarkers for PDAC.
|
|
| 17. |
|
|
| 18. |
- Carlsson, Gunilla, et al.
(författare)
-
A hundred days in confinement : Doing, being, becoming, and belonging among older people in Sweden during the COVID-19 pandemic
- 2022
-
Ingår i: Journal of Occupational Science. - : Informa UK Limited. - 1442-7591 .- 2158-1576. ; 29:3, s. 402-416
-
Tidskriftsartikel (refereegranskat)abstract
- Background: When and how people were able to engage in everyday occupations changed suddenly with the coronavirus pandemic. Defined as a risk group due to their age, people 70 years and older in Sweden experienced confinement, as did older adults globally. Aim: To explore how doing, being, becoming, and belonging as dimensions of occupation were manifested in the lives of Swedish people 70 years or older, 100 days into the coronavirus pandemic. Method: Data were elicited through semi-structured interviews with 17 participants (11 women, 6 six men, mean age 76 years), living in ordinary housing in Sweden. Interviews were conducted in June 2020 as part of a larger longitudinal research project. A directed content analysis approach was used to analyse the data based on the occupational dimensions of doing, being, becoming, and belonging. Results: After 100 days of confinement, daily occupations had been changed, and habits and routines disrupted. However, the need to engage in occupations was strong. Participants expressed how they adapted their occupations to the restrictions, but also how their doing affected their well-being, further development, and opportunities for social interactions. Conclusion: The participants, who were older people without any specific diagnosis, reflected upon their daily occupations during an unrehearsed natural experiment when, more than anything else, the social environmental circumstances changed. The analysis elucidates how doing, being, becoming, and belonging is embedded in people’s lives. The study can serve as a foundation to further research on understanding people’s individual needs as occupational beings.
|
|
| 19. |
- Carlsson, Gunilla, et al.
(författare)
-
Exploration of a Web-based accessibility tool for public facilities
- 2023
-
Ingår i: Facilities. - 0263-2772. ; 41:15/16, s. 66-84
-
Tidskriftsartikel (refereegranskat)abstract
- Purpose – This study aims to explore how an accessibility database (AD) has been developed and implemented as a tool for facility managers to evaluate and increase the accessibility of public facilities.Design/methodology/approach – Eight participants were strategically sampled for semi-structured interviews, and documents on the AD were gathered. The Consolidated Framework for Implementation Research (CFIR) was used for a directed content analysis of the data. The CFIR domains used for the analysis were: intervention characteristics, outer setting, inner setting, characteristics of individuals and process.Findings – The development and implementation of the AD demonstrated the complexity in assessing and planning for increased accessibility. The communication and iterative processes within the inner as well as with the outer setting was an important part of the development and implementation, as well as anchoringeach step locally, regionally and nationally, within public authorities and disability organizations.Practical implications – The assessments of environmental barriers and the results reported in the AD can serve as a guide for identification of accessibility issues. However, singular identified barriers were reported as a fragmentation of the building regulations, and thereby when retrofitting is carried out, experts who have the competence to suggest solutions based on the entirety need to be involved to reach the goals of increased accessibility and countering of exclusion and discrimination.Originality/value – By structuring the implementation process by means of the CFIR, facilitators and barriers of using an AD as a basis for retrofitting were revealed. The practical challenges outlined in assessing and increasing accessibility can guide facility managers when considering actions to increase accessibility.
|
|
| 20. |
- Choque Olsson, Nora, et al.
(författare)
-
Social Skills Training for Children and Adolescents With Autism Spectrum Disorder : A Randomized Controlled Trial
- 2017
-
Ingår i: Journal of the American Academy of Child and Adolescent Psychiatry. - : Elsevier BV. - 0890-8567 .- 1527-5418. ; 56:7, s. 585-592
-
Tidskriftsartikel (refereegranskat)abstract
- OBJECTIVE: Social skills group training (SSGT) for children and adolescents with autism spectrum disorder (ASD) is widely applied, but effectiveness in real-world practice has not yet been properly evaluated. This study sought to bridge this gap.METHOD: This 12-week pragmatic randomized controlled trial of SSGT compared to standard care alone was conducted at 13 child and adolescent psychiatry outpatient units in Sweden. Twelve sessions of manualized SSGT ("KONTAKT") were delivered by regular clinical staff. Participants (N = 296; 88 females and 208 males) were children (n = 172) and adolescents (n = 124) aged 8 to 17 years with ASD without intellectual disability. The primary outcome was the Social Responsiveness Scale rating by parents and blinded teachers. Secondary outcomes included parent- and teacher-rated adaptive behaviors, trainer-rated global functioning and clinical severity, and self-reported child and caregiver stress. Assessments were made at baseline, posttreatment, and 3-month follow-up. Moderator analyses were conducted for age and gender.RESULTS: Significant treatment effects on the primary outcome were limited to parent ratings for the adolescent subgroup (posttreatment: -8.3; 95% CI = -14.2 to -1.9; p = .012, effect size [ES] = 0.32; follow-up: -8.6; 95% CI = -15.4 to -1.8; p = .015, ES = 0.33) and females (posttreatment: -8.9; 95% CI = -16.2 to -1.6; p = .019, ES = 0.40). Secondary outcomes indicated moderate effects on adaptive functioning and clinical severity.CONCLUSION: SSGT for children and adolescents with ASD in regular mental health services is feasible and safe. However, the modest and inconsistent effects underscore the importance of continued efforts to improve SSGT beyond current standards.CLINICAL TRIAL REGISTRATION INFORMATION: Social Skills Group Training ("KONTAKT") for Children and Adolescent With High-functioning Autism Spectrum Disorders; https://clinicaltrials.gov/; NCT01854346.
|
|
