Publications by authors named "M I Nilsson"

Introduction: Little is known about the day-to-day variability of different skin microcirculation parameters, and how this variability is influenced by age and sex. The aim was to examine the day-to-day variability of microcirculatory parameters in relation to age and sex.

Methods: The cutaneous microcirculation was measured using a fiber optic probe integrating laser Doppler flowmetry (LDF) and diffuse reflectance spectroscopy (DRS) to measure oxygen saturation, red blood cell (RBC) tissue fraction, speed-resolved and conventional perfusion.

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Despite its high prevalence, individuals suffering from skin-picking disorder (SPD) face limited access to treatment due to several factors, including geographical and economic barriers, as well as a shortage of properly trained therapists. Offering Internet-delivered therapy could be a solution to these barriers. This study aimed to evaluate the efficacy of therapist-guided Internet-delivered acceptance-enhanced behavior therapy (iBT) for SPD compared to a wait-list control condition.

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This study investigated infection by Leishmania spp., Leptospira spp., Toxoplasma gondii, and Trypanosoma cruzi in six-banded armadillos (Euphractus sexcinctus) from the semiarid region of northeastern Brazil.

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Background: KRAS inhibitors are revolutionizing the treatment of NSCLC, but clinico-genomic determinants of treatment efficacy warrant continued exploration.

Methods: Patients with advanced KRASG12C-mutant NSCLC treated with adagrasib (KRYSTAL-1-NCT03785249) were included in the analysis. Pre-treatment NGS data were collected per protocol.

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Background: Anabolic resistance accelerates muscle loss in aging and obesity, thus predisposing to sarcopenic obesity.

Methods: In this retrospective analysis of a randomized clinical trial, we examined baseline predictors of the adaptive response to three months of home-based resistance exercise, daily physical activity, and protein-based, multi-ingredient supplementation (MIS) in a cohort of free-living, older males ( = 32).

Results: Multiple linear regression analyses revealed that obesity and a Global Risk Index for metabolic syndrome (MetS) were the strongest predictors of Δ% gains in lean mass (TLM and ASM), LM/body fat ratios (TLM/%BF, ASM/FM, and ASM/%BF), and allometric LM (ASMI, TLM/BW, TLM/BMI, ASM/BW), with moderately strong, negative correlations to the adaptive response to polytherapy r = -0.

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