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The aims of the present prospective clinical study were to determine objective, sensor-measured adherence to a mandibular advancement device (MAD) in patients with obstructive sleep apnea (OSA) and to identify partner-specific adherence-related factors. A total of 77 eligible participants with mild, moderate, or severe OSA and who were non-adherent to continuous positive airway pressure (mean age 56.2 years) participated in the study (32.5% women). The mean (range) observation time between MAD delivery and final follow-up was 8.3 (3.4-16.5) months. The mean apnea-hypopnea index (AHI) was 26.6 events/hr at baseline and 12.5 events/hr at the 8-month follow-up (both p

The aim of this study was to test whether digitally registered use of a mandibular advancement device (MAD) by a built-in thermal sensor was reliable compared to a self-reported diary of MAD use. Eighty consecutive patients referred to a specialist outpatient sleep medicine clinic (HUS) were recruited. Patients of both genders, aged from 25 to 70 years with a diagnosis of mild, moderate or severe, were included. All participants signed a written informed consent when they received the MAD. For the purpose of this reliability study, we found it sufficient to include the first 30 nights of MAD use in the reliability analysis. At the 30th night follow-up visit, the self-reported diary with duration of MAD use was returned and data on the duration of MAD use with the built-in sensor were retrieved. From a total of 2400 nights, complete data from both methods were retrieved for 2108 nights (84.6%). Missing data were largely a result of missing self-reported diaries, whereas technical failure occurred in 6 nights (0.002%). The relative reliability was very high with ICC3,1 0.847, and the absolute reliability for digitally registered MAD usage was calculated to -0.17 (95% CI: 1.47 to -1.81) hours in decimal conversion. Objectively collected data from built-in thermal sensors in MADs are as reliable as those of the self-report assessments. This opens new possibilities for more accurate measurements of MAD adherence.

PREDECT, a European IMI consortium, has assumed the task to generate robust 2D and 3D culture platforms. Protocols established for 2D and 3D monoculture and stromal coculture models of increasing complexity (spheroid, stirred-tank bioreactor, Matrigel- and collagen-embedded cultures) have been established between six laboratories within academia, biotech, and pharma. These models were tested using three tumor cell lines (MCF7, LNCaP, and NCI-H1437), covering three pathologies (breast, prostate, and lung), but should be readily transferable to other model systems. Fluorescent protein tagged cell lines were used for all platforms, allowing for online measurement of growth curves and drug responses to treatments. All methods, from culture setup to phenotypic characterization and gene expression profiling are described in this chapter.The adaptable methodologies and detailed protocols described here should help to include these models more readily to the drug discovery pipeline.

PREDECT, a European IMI consortium, has assumed the task to generate robust 2D and 3D culture platforms. Protocols established for 2D and 3D monoculture and stromal coculture models of increasing complexity (spheroid, stirred-tank bioreactor, Matrigel- and collagen-embedded cultures) have been established between six laboratories within academia, biotech, and pharma. These models were tested using three tumor cell lines (MCF7, LNCaP, and NCI-H1437), covering three pathologies (breast, prostate, and lung), but should be readily transferable to other model systems. Fluorescent protein tagged cell lines were used for all platforms, allowing for online measurement of growth curves and drug responses to treatments. All methods, from culture setup to phenotypic characterization and gene expression profiling are described in this chapter.The adaptable methodologies and detailed protocols described here should help to include these models more readily to the drug discovery pipeline.

The aim of this retrospective study was to evaluate the effect of individually adjusted custom-made mandibular advancement device/oral appliance (OA) in treatment of patients with moderate and severe obstructive sleep apnoea (OSA), who were non-adherent to continuous positive airway pressure (CPAP) therapy. During 2007-2013, 116 patients with moderate (n = 82) and severe (n = 34) OSA non-adherent to CPAP treatment were referred for dental management with an individually adjusted OA at a specialist sleep clinic. Ten of the participants (8·6%) were lost to follow-up, leaving the data set to consist of 106 patients (71 men/35 women, mean age 57 year, range 28-90). Nocturnal respiratory polygraphic recordings were performed at baseline and follow-up. Average time between baseline polygraphy and follow-up was 12 months. A successful OA treatment outcome was based on polygraphy at the follow-up and divided into three groups: 1 = AHI 50% reduction in baseline AHI; and 3. >50% reduction in baseline AHI. If there was a ≤ 50% reduction in baseline AHI at the follow-up, the treatment was considered as a failure. The overall treatment success rate was 75%. There was no significant difference in success rates between patients in the moderate and severe categories (69% and 77%, respectively). Low oxygen saturation (SpO2 nadir) had a high predictive value for OA treatment failure. OA treatment of patients non-adherent to CPAP is efficient and especially promising for the severe OSA group who are at greatest risks for developing serious comorbidities, if left untreated. publishedVersion

Two-dimensional (2D) culture of cancer cells in vitro does not recapitulate the three-dimensional (3D) architecture, heterogeneity and complexity of human tumors. More representative models are required that better reflect key aspects of tumor biology. These are essential studies of cancer biology and immunology as well as for target validation and drug discovery. The Innovative Medicines Initiative (IMI) consortium PREDECT (www.predect.eu) characterized in vitro models of three solid tumor types with the goal to capture elements of tumor complexity and heterogeneity. 2D culture and 3D mono- and stromal co-cultures of increasing complexity, and precision-cut tumor slice models were established. Robust protocols for the generation of these platforms are described. Tissue microarrays were prepared from all the models, permitting immunohistochemical analysis of individual cells, capturing heterogeneity. 3D cultures were also characterized using image analysis. Detailed step-by-step protocols, exemplary datasets from the 2D, 3D, and slice models, and refined analytical methods were established and are presented.

Low-level laser therapy is a tool employed in the management of post-operative inflammation process and in the enhancement of reparative process. The aim of the study was to perform histological evaluation of dental and periodontal ligament of rats central upper-left incisor teeth re-implanted and irradiated with low-level laser (InGaAl, 685 nm, 50 J/cm(2)) 15, 30, and 60 days after re-implantation. Seventy-two male rats had the central upper left incisor removed and kept for 15 min on dry gauze before replantation. Laser was irradiated over the root surface and empty alveolus prior replantation and over surrounding mucosa after the re-implantation. After histological procedures, all slices were analyzed regarding external resorption area and histological aspects. We observed an increase of root resorption (p 0.05) in the control group compared to the laser group at 15, 30, and 60 days. These results showed that the laser groups developed less root resorption areas than the control group in all experimental periods. Additionally, histological analysis revealed less inflammatory cells and necrotic areas in laser groups.

Two-dimensional (2D) cell cultures growing on plastic do not recapitulate the three dimensional (3D) architecture and complexity of human tumors. More representative models are required for drug discovery and validation. Here, 2D culture and 3D mono- and stromal co-culture models of increasing complexity have been established and cross-comparisons made using three standard cell carcinoma lines: MCF7, LNCaP, NCI-H1437. Fluorescence-based growth curves, 3D image analysis, immunohistochemistry and treatment responses showed that end points differed according to cell type, stromal co-culture and culture format. The adaptable methodologies described here should guide the choice of appropriate simple and complex in vitro models.

In oncology, two-dimensional in-vitro culture models are the standard test beds for the discovery and development of cancer treatments, but in the last decades, evidence emerged that such models have low predictive value for clinical efficacy. Therefore they are increasingly complemented by more physiologically relevant 3D models, such as spheroid micro-tumor cultures. If suitable fluorescent labels are applied, confocal 3D image stacks can characterize the structure of such volumetric cultures and, for example, cell proliferation. However, several issues hamper accurate analysis. In particular, signal attenuation within the tissue of the spheroids prevents the acquisition of a complete image for spheroids over 100 micrometers in diameter. And quantitative analysis of large 3D image data sets is challenging, creating a need for methods which can be applied to large-scale experiments and account for impeding factors. We present a robust, computationally inexpensive 2.5D method for the segmentation of spheroid cultures and for counting proliferating cells within them. The spheroids are assumed to be approximately ellipsoid in shape. They are identified from information present in the Maximum Intensity Projection (MIP) and the corresponding height view, also known as Z-buffer. It alerts the user when potential bias-introducing factors cannot be compensated for and includes a compensation for signal attenuation.

Avhandlingen har som formål å finne mulige handlingsplaner for å bevare seterkulturen som en helhet, inkludert den tause kunnskapen som er i ferd med å dø ut, i det siste generasjon av dem som selv opplevde det snart ikke lever lenger. Avhandlingen kartlegger samtlige setrer i Innfjorden, Rauma kommune, Møre og Romsdal, såvel setrene som fortsatt brukes, setrene som er forlatt og setrene som er tapt. En del av avhandlingens formål, er å gi en fullstendig oversikt over den nødvendige informasjonen om setrenes naturomgivelser og strukturer. I andre del vurderes ulike tiltak for bevaring av nevnte seterkultur, sett opp mot hvilke tiltak som eksisterer i andre deler av landet. Til slutt gis det anbefalinger for hva som kan gjøres for å bevare setrene sett i forhold til hvilken tilstand de er i dag, med mål om å engasjere både vanlige folk, bøndene som bruker og har brukt setrene, og andre interessenter for øvrig. The thesis aims at finding possible plans of action to preserve the culture of transhumans (Norw.: ‘seterdrift’, ‘seterkultur’) as a whole, including the ‘silent knowledge’ which is about to disappear for good, considering the last generation of those whom themselves experienced it are about to die. The thesis maps all mountain pastures of Innfjorden village, Rauma municipality, Møre og Romsdal county, including those still being used, those being abandoned and those having been lost. Part of the goal of the thesis, is giving a complete overview of all necessary information regarding the natural surroundings and structures of the mountain pastures. In the second part different actions for preservering said culture are examined against those actions and plans that have been executed in other parts of the country. Finally recommendations are given on what that can be done to preserve the mountain pastures, considering what state they are in presently, aiming to engage local population, farmers using and having been using them, and other people of interest as well.