| 1. |
|
|
| 2. |
|
|
| 3. |
|
|
| 4. |
|
|
| 5. |
|
|
| 6. |
- Massier, Lucas, et al.
(författare)
-
An integrated single cell and spatial transcriptomic map of human white adipose tissue
- 2023
-
Ingår i: Nature Communications. - : Springer Nature. - 2041-1723. ; 14:1
-
Tidskriftsartikel (refereegranskat)abstract
- Single-cell studies of human white adipose tissue (WAT) provide insights into the specialized cell types in the tissue. Here the authors combine publicly available and newly generated high-resolution and bulk transcriptomic results from multiple human datasets to provide a comprehensive cellular map of white adipose tissue. To date, single-cell studies of human white adipose tissue (WAT) have been based on small cohort sizes and no cellular consensus nomenclature exists. Herein, we performed a comprehensive meta-analysis of publicly available and newly generated single-cell, single-nucleus, and spatial transcriptomic results from human subcutaneous, omental, and perivascular WAT. Our high-resolution map is built on data from ten studies and allowed us to robustly identify >60 subpopulations of adipocytes, fibroblast and adipogenic progenitors, vascular, and immune cells. Using these results, we deconvolved spatial and bulk transcriptomic data from nine additional cohorts to provide spatial and clinical dimensions to the map. This identified cell-cell interactions as well as relationships between specific cell subtypes and insulin resistance, dyslipidemia, adipocyte volume, and lipolysis upon long-term weight changes. Altogether, our meta-map provides a rich resource defining the cellular and microarchitectural landscape of human WAT and describes the associations between specific cell types and metabolic states.
|
|
| 7. |
|
|
| 8. |
- Andersson, Jonas E, 1964-, et al.
(författare)
-
Shopping with Acquired Brain Injuries : Coping Strategies and Maslowian Principles
- 2016. - 1
-
Ingår i: Universal Design 2016. - : IOS Press. - 9781614996835 - 9781614996842
-
Bokkapitel (refereegranskat)abstract
- A positive outcome of the modern welfare state is prolonged life expectancy. In Sweden, the expected life span has increased with approximatively 25 years during the 20th century [Statistics Sweden]. However, ageing is associated with an increased risk for acquiring cognitive and physical disabilities. This study is based on anonymized interviews with groups of older persons who experience cognitive problems and relatives. The interviewees were asked about everyday activities like shopping groceries, clothes or other necessities. The interviewees identified problems and described a series of strategies for coping. This paper uses fictionalized characters to present problems and coping strategies that the interviewees use to overcome cognitive challenges when shopping groceries. The strategies range from complete withdrawal, an increased dependency on proxies to the development of elaborate techniques to mask their problem and obtain assistance. Following the current trend in the design of the Swedish sales environment – large scale, abundance of goods and Maslowian strategies for making people stay longer (and spend more money) – accessibility in the built environment is often an absent friend.
|
|
| 9. |
- Douc, R, et al.
(författare)
-
Asymptotic properties of the maximum likelihood estimator in autoregressive models with Markov regime
- 2004
-
Ingår i: Annals of Statistics. - : Institute of Mathematical Statistics. - 0090-5364 .- 2168-8966. ; 32:5, s. 2254-2304
-
Tidskriftsartikel (refereegranskat)abstract
- An autoregressive process with Markov regime is an autoregressive process for which the regression function at each time point is given by a nonobservable Markov chain. In this paper we consider the asymptotic properties of the maximum likelihood estimator in a possibly nonstationary process of this kind for which the hidden state space is compact but not necessarily finite. Consistency and asymptotic normality are shown to follow from uniform exponential forgetting of the initial distribution for the hidden Markov chain conditional on the observations.
|
|
| 10. |
|
|
