| 1. |
- Liu, Yu
(författare)
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Integrating life cycle assessment into simulation-based decision support
- 2022
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Licentiatavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Increasing marketing and legislative requirements put heavy demands on the environmental performance of future transportation solutions. The resulting need to reduce total environmental impacts presents both challenges and opportunities to the transport sector as a whole, including the automotive industry. Life cycle assessment (LCA) is commonly used to evaluate environmental performance in the automotive industry. However, the static nature of LCAlimits its usefulness for capturing dynamic environmental consequences in the manufacturing and operational phase. This thesis proposes a simulation-based approach to LCA that addresses this problem. Selected real-world case studies demonstrate the potential of the approach in both vehicle production processes and end-user applications. The work was preceded by a comprehensive review of the potential benefits and challenges of using simulation-based LCA in production processes. This review laid the foundation for the development and implementation of this method inthe automotive industry. Two real-world case studies demonstrate its value. The first was a waste collection case study in which LCA was integrated in an existing simulation-based decision support tool to optimize the company’s activities froma life cycle environmental impact perspective. A simultaneously developed simulation-based LCA model of an iron foundry production line extended the applicability of the method with a proposed decision support interpretation approach. The study shows that data and information from both simulation model and LCA databases can be integrated and utilized in the developed simulation-based LCA method. This allows different systems with different configurations to be combined to assess the relevant parameters, and eventually to provide information about overall environmental impacts to decision makers to improvethe environmental sustainability of the automotive industry.
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| 2. |
- Axelsson, K. F., et al.
(författare)
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Hip fracture risk and safety with alendronate treatment in the oldest-old
- 2017
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Ingår i: Journal of Internal Medicine. - : Wiley. - 0954-6820 .- 1365-2796. ; 282:6, s. 546-559
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Tidskriftsartikel (refereegranskat)abstract
- Background. There is high evidence for secondary prevention of fractures, including hip fracture, with alendronate treatment, but alendronate's efficacy to prevent hip fractures in the oldest-old (80 years old), the population with the highest fracture risk, has not been studied. Objective. To investigate whether alendronate treatment amongst the oldest-old with prior fracture was related to decreased hip fracture rate and sustained safety. Methods. Using a national database of men and women undergoing a fall risk assessment at a Swedish healthcare facility, we identified 90 795 patients who were 80 years or older and had a prior fracture. Propensity score matching (four to one) was then used to identify 7844 controls to 1961 alendronate-treated patients. The risk of incident hip fracture was investigated with Cox models and the interaction between age and treatment was investigated using an interaction term. Results. The case and control groups were well balanced in regard to age, sex, anthropometrics and comorbidity. Alendronate treatment was associated with a decreased risk of hip fracture in crude (hazard ratio (HR) 0.62 (0.49-0.79), P < 0.001) and multivariable models (HR 0.66 (0.51-0.86), P < 0.01). Alendronate was related to reduced mortality risk (HR 0.88 (0.82-0.95) but increased risk of mild upper gastrointestinal symptoms (UGI) (HR 1.58 (1.12-2.24). The alendronate association did not change with age for hip fractures or mild UGI. Conclusion. In old patients with prior fracture, alendronate treatment reduces the risk of hip fracture with sustained safety, indicating that this treatment should be considered in these high-risk patients.
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| 3. |
- Borgmästars, Emmy, et al.
(författare)
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Metabolomics for early pancreatic cancer detection in plasma samples from a Swedish prospective population-based biobank
- 2024
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Ingår i: Journal of Gastrointestinal Oncology. - : AME Publishing Company. - 2078-6891 .- 2219-679X. ; 15:2, s. 755-767
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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.
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| 4. |
- Borgmästars, Emmy, et al.
(författare)
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Multi-omics profiling to identify early plasma biomarkers in pre-diagnostic pancreatic ductal adenocarcinoma : a nested case-control study
- 2024
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Ingår i: Translational Oncology. - : Elsevier. - 1944-7124 .- 1936-5233. ; 48
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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.
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| 5. |
- Correia, Cláudia, et al.
(författare)
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Enhancing Maturation and Translatability of Human Pluripotent Stem Cell-Derived Cardiomyocytes through a Novel Medium Containing Acetyl-CoA Carboxylase 2 Inhibitor
- 2024
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Ingår i: Cells. - : MDPI. - 2073-4409. ; 13:16
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Tidskriftsartikel (refereegranskat)abstract
- Human pluripotent stem cell-derived cardiomyocytes (hPSC-CMs) constitute an appealing tool for drug discovery, disease modeling, and cardiotoxicity screening. However, their physiological immaturity, resembling CMs in the late fetal stage, limits their utility. Herein, we have developed a novel, scalable cell culture medium designed to enhance the maturation of hPSC-CMs. This medium facilitates a metabolic shift towards fatty acid utilization and augments mitochondrial function by targeting Acetyl-CoA carboxylase 2 (ACC2) with a specific small molecule inhibitor. Our findings demonstrate that this maturation protocol significantly advances the metabolic, structural, molecular and functional maturity of hPSC-CMs at various stages of differentiation. Furthermore, it enables the creation of cardiac microtissues with superior structural integrity and contractile properties. Notably, hPSC-CMs cultured in this optimized maturation medium display increased accuracy in modeling a hypertrophic cardiac phenotype following acute endothelin-1 induction and show a strong correlation between in vitro and in vivo target engagement in drug screening efforts. This approach holds promise for improving the utility and translatability of hPSC-CMs in cardiac disease modeling and drug discovery.
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| 6. |
- Löfström, Tuve, et al.
(författare)
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Benefits of Relating the Retail Domain to Information Fusion
- 2006
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Ingår i: 9th International Conference on Information Fusion. - : IEEE. - 9781424409532
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Konferensbidrag (refereegranskat)abstract
- In this paper a mapping between retail concepts and the JDL model is proposed. More specifically, the benefits of using solutions to military problems as inspiration to retail specific problems are discussed. The somewhat surprising conclusion is that there are several similarities between the military and retail domains, and that these similarities potentially could be exploited. A few examples of retail problems that could benefit from theories and techniques commonly used in the Information Fusion community are given. All examples are taken from recently started or planned projects within the Information Fusion research program at the University of Skövde, Sweden.
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