| 1. |
- Jonsdottir, Berglind, et al.
(författare)
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Childhood thyroid autoimmunity and relation to islet autoantibodies in children at risk for type 1 diabetes in the diabetes prediction in skåne (DiPiS) study
- 2018
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Ingår i: Autoimmunity. - : Informa UK Limited. - 0891-6934 .- 1607-842X. ; 51:5, s. 228-237
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Tidskriftsartikel (refereegranskat)abstract
- Background: The aim was to determine prevalence and age at seroconversion of thyroid autoimmunity in relation to islet autoantibodies, gender and HLA-DQ genotypes in children with increased risk for type 1 diabetes followed from birth. Methods: In 10-year-old children (n = 1874), blood samples were analysed for autoantibodies against thyroid peroxidase (TPOAb), thyroglobulin (TGAb), glutamic acid decarboxylase 65 (GADA), Zink transporter 8 (ZnT8R/W/QA), insulinoma-associated protein-2 (IA-2A), insulin (IAA) and HLA-DQ genotypes. Prospectively collected samples from 2 years of age were next analysed for TPOAb, and TGAb and, finally, in confirming samples at 11–16 years of age along with TSH and FT4. Frequencies were tested with Chi-square or Fischer’s exact tests, autoantibody levels with Wilcoxon and correlations between autoantibody levels with Spearman’s rank correlation test. Results: The prevalence of thyroid autoimmunity was 6.9%, overrepresented in girls (p <.001) also having higher TPOAb levels at 10 years (p =.049). TPOAb was associated with GADA (p =.002), ZnT8R/W/QA (p =.001) and IA-2A (p =.001) while TGAb were associated with ZnT8R/W/QA (p =.021). In boys only, TPOAb were associated with GADA (p =.002), IA-2A (p =.001), ZnT8R/W/QA (p =.001) and IAA (p =.009), and TGAb with GADA (p =.013), IA-2A (p =.005) and ZnT8R/W/QA (p =.003). Levels of IA-2A correlated to both TPOAb (p =.021) and to TGAb (p =.011). In boys only, levels of GADA and TGAb correlated (p =.009 as did levels of IA-2A and TPOAb (p =.013). The frequency and levels of thyroid autoantibodies increased with age. At follow-up, 22.3% had abnormal thyroid function or were treated with thyroxine. Conclusions: Thyroid autoimmunity and high TPOAb levels were more common in girls. In contrast, in boys only, there was a strong association with as well as correlation between levels of thyroid and islet autoantibodies. It is concluded that while girls may develop autoimmune thyroid disease (AITD) independent of islet autoantibodies, the risk for thyroid disease in boys may be linked to concomitant islet autoimmunity.
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| 2. |
- Larsson, Emelie, et al.
(författare)
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Finding a unicorn in the woods : The magic of collaborative care and resistance
- 2023
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Ingår i: Voices from gender studies. - : Routledge.
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Bokkapitel (refereegranskat)abstract
- This chapter is a critical celebration of an academic and activist group that we call Ånge. Using memory work, we discuss our experiences of regularly meeting in Ånge, a small town located in rural northern inland Sweden. Drawing on theories of centre and periphery, safe space, slow scholarship, and feminist care, we find that safe spaces are crucial for resisting patriarchal and neoliberal demands of academia. Through Ånge we have found a more radical way of doing research. Overturning the neoliberal order within the university requires a release of unicorns—symbolising the creation of collaborative care and resistance.
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| 3. |
- Larsson Hult, Karin, 1985-, et al.
(författare)
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Rum för gemenskap
- 2022
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Ingår i: Forum för genusvetenskap - en jubilar i vardande. - SUNDSVALL : Mid Sweden University. - 9789189341876 ; , s. 25-27
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Bokkapitel (övrigt vetenskapligt/konstnärligt)
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| 4. |
- Lundgren, Markus, et al.
(författare)
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Reduced morbidity at diagnosis and improved glycemic control in children previously enrolled in DiPiS follow-up
- 2014
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Ingår i: Pediatric Diabetes. - : Hindawi Limited. - 1399-543X. ; 15:7, s. 494-501
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Tidskriftsartikel (refereegranskat)abstract
- Aims/hypothesis: Children participating in longitudinal type 1 diabetes prediction studies were reported to have less severe disease at diabetes diagnosis. Our aim was to investigate children who from birth participated in the Diabetes Prediction in Skane (DiPiS) study for metabolic status at diagnosis and then continued to be followed for 2 yr of regular clinical care. Methods: Children, followed in DiPiS before diagnosis, were compared to children in the same birth cohort, who did not participate in follow-up. Metabolic status, symptoms at diagnosis as well as hemoglobin A1c (HbA1c) and doses of insulin at 3, 6, 12, and 24 months after diagnosis were compared. Results: Children, followed in DiPiS and diagnosed at 2-12 yr of age, had 0.8% (9 mmol/mol) lower HbA1c at diagnosis than those who were not followed (p=0.006). At diagnosis, fewer DiPiS children had symptoms (p=0.014) and ketoacidosis at diagnosis were reduced (2% compared to 18%, p=0.005). During regular clinical care, HbA1c levels for the DiPiS children remained lower both at 12 (0.4% (4 mmol/mol); p=0.009) and 24 months (0.8% (9 mmol/mol) p < 0.001) after diagnosis, despite no difference in total daily insulin between the two groups. Conclusions: Participation in prospective follow-up before diagnosis of type 1 diabetes leads to earlier diagnosis with fewer symptoms, decreased incidence of ketoacidosis as well as better metabolic control up to 2 yr after diagnosis. Our data indicate that metabolic control at the time of diabetes diagnosis is important for early metabolic control possibly affecting the risk of long-term complications.
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| 5. |
- Moberg, Christina, et al.
(författare)
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De unga gör helt rätt när de stämmer staten
- 2022
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Ingår i: Aftonbladet. - 1103-9000.
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Tidskriftsartikel (populärvet., debatt m.m.)abstract
- 1 620 forskare och lärare i forskarvärlden: Vi ställer oss bakom Auroras klimatkrav
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| 6. |
- Sundelöf, Andreas, et al.
(författare)
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Fisk- och skaldjursbestånd i hav och sötvatten 2021 : Resursöversikt
- 2022
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- I rapporten kan du ta del av bedömningen som görs av situationen för bestånd som regleras inom ramen för EU:s gemensamma fiskeripolitik (GFP). Bedömningarna baseras på det forskningssamarbete och den rådgivning som sker inom det Internationella Havsforskningsrådet (ICES). Sammantaget redovisas tillståndet för 107 bestånd av 48 fisk- och skaldjursarter.De bestånd som förvaltas nationellt baseras på de biologiska underlagen, och rådgivningen i huvudsak på den forskning och övervakning samt analys som bedrivs av Institutionen för akvatiska resurser vid Sveriges lantbruksuniversitet (SLU Aqua) samt yrkesfiskets rapportering.Rapporten är en beställning från Havs- och vattenmyndigheten (HaV) till Sveriges lantbruksuniversitet (SLU) och utgör ett viktigt kunskapsunderlag till myndighetens arbete. Den uppfyller de krav som finns inom EU:s gemensamma fiskeripolitik om att basera förvaltningen på bästa tillgängliga vetenskap. Denna rapport är också ett stöd till det arbete som beskrivs närmare i strategin för framtidens fiske och tillhörande handlingsplaner för vattenbruk, yrkes- och fritidsfiske som HaV och Jordbruksverket har tagit fram i dialog med fiskets och vattenbrukets intressenter.
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| 9. |
- Akbar, Muhammad Usman, 1990-, et al.
(författare)
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Brain tumor segmentation using synthetic MR images - A comparison of GANs and diffusion models
- 2024
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Ingår i: Scientific Data. - : Nature Publishing Group. - 2052-4463. ; 11:1
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Tidskriftsartikel (refereegranskat)abstract
- Large annotated datasets are required for training deep learning models, but in medical imaging data sharing is often complicated due to ethics, anonymization and data protection legislation. Generative AI models, such as generative adversarial networks (GANs) and diffusion models, can today produce very realistic synthetic images, and can potentially facilitate data sharing. However, in order to share synthetic medical images it must first be demonstrated that they can be used for training different networks with acceptable performance. Here, we therefore comprehensively evaluate four GANs (progressive GAN, StyleGAN 1–3) and a diffusion model for the task of brain tumor segmentation (using two segmentation networks, U-Net and a Swin transformer). Our results show that segmentation networks trained on synthetic images reach Dice scores that are 80%–90% of Dice scores when training with real images, but that memorization of the training images can be a problem for diffusion models if the original dataset is too small. Our conclusion is that sharing synthetic medical images is a viable option to sharing real images, but that further work is required. The trained generative models and the generated synthetic images are shared on AIDA data hub.
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