| 1. |
|
|
| 2. |
|
|
| 3. |
- Fransson, Thord, et al.
(författare)
-
Svensk ringmärkning 2014
- 2015
-
Ingår i: Fågelåret 2014. - Halmstad : Sveriges Ornitologiska Förening. ; Suppl:55, s. 25-31
-
Tidskriftsartikel (populärvet., debatt m.m.)
|
|
| 4. |
- Fransson, Thord, et al.
(författare)
-
Svensk ringmärkning 2015
- 2016
-
Ingår i: Fågelåret 2015. - Halmstad : BirdLife Sverige - Sveriges Ornitologiska Förening. - 9789188124616 ; , s. 23-31
-
Bokkapitel (populärvet., debatt m.m.)
|
|
| 5. |
- Fransson, Thord, et al.
(författare)
-
Svensk ringmärkning 2016
- 2016
-
Ingår i: Fågelåret 2016. - Halmstad : BirdLife Sverige - Sveriges Ornitologiska Förening. - 9789188124630 ; , s. 23-31
-
Bokkapitel (populärvet., debatt m.m.)
|
|
| 6. |
- Fransson, Thord, et al.
(författare)
-
Svensk ringmärkning 2017
- 2018
-
Ingår i: Fågelåret 2017. - Halmstad : BirdLife Sverige - Sveriges Ornitologiska Förening. - 9789188124654 ; , s. 25-32
-
Bokkapitel (populärvet., debatt m.m.)
|
|
| 7. |
- Fransson, Thord, et al.
(författare)
-
Svensk ringmärkning 2018
- 2019
-
Ingår i: Fågfelåret 2018. - Halmstad : Sveriges Ornitologiska Förening - Birdlife Sverige 2019. - 9789188124661 ; , s. 25-33
-
Bokkapitel (populärvet., debatt m.m.)
|
|
| 8. |
- Johnson, Randi K., et al.
(författare)
-
Metabolite-related dietary patterns and the development of islet autoimmunity
- 2019
-
Ingår i: Scientific Reports. - : Springer Science and Business Media LLC. - 2045-2322. ; 9:1
-
Tidskriftsartikel (refereegranskat)abstract
- The role of diet in type 1 diabetes development is poorly understood. Metabolites, which reflect dietary response, may help elucidate this role. We explored metabolomics and lipidomics differences between 352 cases of islet autoimmunity (IA) and controls in the TEDDY (The Environmental Determinants of Diabetes in the Young) study. We created dietary patterns reflecting pre-IA metabolite differences between groups and examined their association with IA. Secondary outcomes included IA cases positive for multiple autoantibodies (mAb+). The association of 853 plasma metabolites with outcomes was tested at seroconversion to IA, just prior to seroconversion, and during infancy. Key compounds in enriched metabolite sets were used to create dietary patterns reflecting metabolite composition, which were then tested for association with outcomes in the nested case-control subset and the full TEDDY cohort. Unsaturated phosphatidylcholines, sphingomyelins, phosphatidylethanolamines, glucosylceramides, and phospholipid ethers in infancy were inversely associated with mAb+ risk, while dicarboxylic acids were associated with an increased risk. An infancy dietary pattern representing higher levels of unsaturated phosphatidylcholines and phospholipid ethers, and lower sphingomyelins was protective for mAb+ in the nested case-control study only. Characterization of this high-risk infant metabolomics profile may help shape the future of early diagnosis or prevention efforts. © 2019, The Author(s).
|
|
| 9. |
- Krischer, Jeffrey P, et al.
(författare)
-
Predicting Islet Cell Autoimmunity and Type 1 Diabetes : An 8-Year TEDDY Study Progress Report
- 2019
-
Ingår i: Diabetes Care. - : American Diabetes Association. - 1935-5548 .- 0149-5992. ; 42:6, s. 1051-1060
-
Tidskriftsartikel (refereegranskat)abstract
- OBJECTIVE: Assessment of the predictive power of The Environmental Determinants of Diabetes in the Young (TEDDY)-identified risk factors for islet autoimmunity (IA), the type of autoantibody appearing first, and type 1 diabetes (T1D).RESEARCH DESIGN AND METHODS: A total of 7,777 children were followed from birth to a median of 9.1 years of age for the development of islet autoantibodies and progression to T1D. Time-dependent sensitivity, specificity, and receiver operating characteristic (ROC) curves were calculated to provide estimates of their individual and collective ability to predict IA and T1D.RESULTS: HLA genotype (DR3/4 vs. others) was the best predictor for IA (Youden's index J = 0.117) and single nucleotide polymorphism rs2476601, in PTPN22, was the best predictor for insulin autoantibodies (IAA) appearing first (IAA-first) (J = 0.123). For GAD autoantibodies (GADA)-first, weight at 1 year was the best predictor (J = 0.114). In a multivariate model, the area under the ROC curve (AUC) was 0.678 (95% CI 0.655, 0.701), 0.707 (95% CI 0.676, 0.739), and 0.686 (95% CI 0.651, 0.722) for IA, IAA-first, and GADA-first, respectively, at 6 years. The AUC of the prediction model for T1D at 3 years after the appearance of multiple autoantibodies reached 0.706 (95% CI 0.649, 0.762).CONCLUSIONS: Prediction modeling statistics are valuable tools, when applied in a time-until-event setting, to evaluate the ability of risk factors to discriminate between those who will and those who will not get disease. Although significantly associated with IA and T1D, the TEDDY risk factors individually contribute little to prediction. However, in combination, these factors increased IA and T1D prediction substantially.
|
|
| 10. |
- Kuncarayakti, Hanindyo, et al.
(författare)
-
SN 2017dio : A Type-Ic Supernova Exploding in a Hydrogen-rich Circumstellar Medium
- 2018
-
Ingår i: Astrophysical Journal Letters. - : American Astronomical Society. - 2041-8205 .- 2041-8213. ; 854:1
-
Tidskriftsartikel (refereegranskat)abstract
- SN 2017dio shows both spectral characteristics of a type-Ic supernova (SN) and signs of a hydrogen-rich circumstellar medium (CSM). Prominent, narrow emission lines of H and He are superposed on the continuum. Subsequent evolution revealed that the SN ejecta are interacting with the CSM. The initial SN Ic identification was confirmed by removing the CSM interaction component from the spectrum and comparing with known SNe Ic and, reversely, adding a CSM interaction component to the spectra of known SNe Ic and comparing them to SN 2017dio. Excellent agreement was obtained with both procedures, reinforcing the SN Ic classification. The light curve constrains the pre-interaction SN Ic peak absolute magnitude to be around M-g = -17.6 mag. No evidence of significant extinction is found, ruling out a brighter luminosity required by an SN Ia classification. These pieces of evidence support the view that SN 2017dio is an SN Ic, and therefore the first firm case of an SN Ic with signatures of hydrogen-rich CSM in the early spectrum. The CSM is unlikely to have been shaped by steady-state stellar winds. The mass loss of the progenitor star must have been intense, M similar to 0.02 (epsilon(H alpha)/0.01)(-1) (nu(wind)/500 km s(-1)) (nu(shock)/10,000 km s(-1))M--3(circle dot) yr(-1), peaking at a few decades before the SN. Such a high mass-loss rate might have been experienced by the progenitor through eruptions or binary stripping.
|
|
