4,680 research outputs found

    G2A Attenuates Propionibacterium acnes Induction of Inflammatory Cytokines in Human Monocytes.

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    Background:Acne vulgaris is a disease of the pilosebaceous unit characterized by increased sebum production, hyperkeratinization, and immune responses to Propionibacterium acnes (PA). Here, we explore a possible mechanism by which a lipid receptor, G2A, regulates immune responses to a commensal bacterium. Objective:To elucidate the inflammatory properties of G2A in monocytes in response to PA stimulation. Furthermore, our study sought to investigate pathways by which lipids modulate immune responses in response to PA. Methods:Our studies focused on monocytes collected from human peripheral blood mononuclear cells, the monocytic cell line THP-1, and a lab strain of PA. Our studies involved the use of enzyme-linked immunosorbent, Western blot, reverse transcription polymerase chain reaction, small interfering RNA (siRNA), and microarray analysis of human acne lesions in the measurements of inflammatory markers. Results:G2A gene expression is higher in acne lesions compared to normal skin and is inducible by the acne therapeutic, 13-cis-retinoic acid. In vitro, PA induces both the Toll-like receptor 2-dependent expression of G2A as well as the production of the G2A ligand, 9-hydroxyoctadecadienoic acid, from human monocytes. G2A gene knockdown through siRNA enhances PA stimulation of interleukin (IL)-6, IL-8, and IL-1β possibly through increased activation of the ERK1/2 MAP kinase and nuclear factor kappa B p65 pathways. Conclusion:G2A may play a role in quelling inflammatory cytokine response to PA, revealing G2A as a potential attenuator of inflammatory response in a disease associated with a commensal bacterium

    Dental Hygiene, Dental, and Medical Students’ OMFS/Hospital Dentistry‐Related Knowledge/Skills, Attitudes, and Behavior: An Exploration

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    Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/153557/1/jddj002203372017812tb06260x.pd

    Maternal Mental Health Mediates the Effects of Pandemic-Related Stressors on Adolescent Psychopathology During COVID-19

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    Background: This study examined whether COVID-19-related maternal mental health changes contributed to changes in adolescent psychopathology. Methods: A community sample of 226 adolescents (12 years old before COVID-19) and their mothers were asked to complete COVID-19 surveys early in the pandemic (April–May 2020, adolescents 14 years) and approximately 6 months later (November 2020–January 2021). Surveys assessed pandemic-related stressors (health, financial, social, school, environment) and mental health. Results: Lower pre-pandemic family income-to-needs ratio was associated with higher pre-pandemic maternal mental health symptoms (anxiety, depression) and adolescent internalizing and externalizing problems, and with experiencing more pandemic-related stressors. Pandemic-related stressors predicted increases in maternal mental health symptoms, but not adolescent symptoms when other variables were covaried. Higher maternal mental health symptoms predicted concurrent increases in adolescent internalizing and externalizing. Maternal mental health mediated the effects of pre-pandemic income and pandemic-related stressors on adolescent internalizing and externalizing problems. Conclusions: Results indicate that adolescent mental health is closely tied to maternal mental health during community-level stressors such as COVID-19, and that pre-existing family economic context and adolescent symptoms increase risk for elevations in symptoms of psychopathology

    MRI radiomic features are independently associated with overall survival in soft tissue sarcoma

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    Purpose: Soft tissue sarcomas (STS) represent a heterogeneous group of diseases, and selection of individualized treatments remains a challenge. The goal of this study was to determine whether radiomic features extracted from magnetic resonance (MR) images are independently associated with overall survival (OS) in STS. Methods and Materials: This study analyzed 2 independent cohorts of adult patients with stage II-III STS treated at center 1 (N = 165) and center 2 (N = 61). Thirty radiomic features were extracted from pretreatment T1-weighted contrast-enhanced MR images. Prognostic models for OS were derived on the center 1 cohort and validated on the center 2 cohort. Clinical-only (C), radiomics-only (R), and clinical and radiomics (C+R) penalized Cox models were constructed. Model performance was assessed using Harrell\u27s concordance index. Results: In the R model, tumor volume (hazard ratio [HR], 1.5) and 4 texture features (HR, 1.1-1.5) were selected. In the C+R model, both age (HR, 1.4) and grade (HR, 1.7) were selected along with 5 radiomic features. The adjusted c-indices of the 3 models ranged from 0.68 (C) to 0.74 (C+R) in the derivation cohort and 0.68 (R) to 0.78 (C+R) in the validation cohort. The radiomic features were independently associated with OS in the validation cohort after accounting for age and grade (HR, 2.4; Conclusions: This study found that radiomic features extracted from MR images are independently associated with OS when accounting for age and tumor grade. The overall predictive performance of 3-year OS using a model based on clinical and radiomic features was replicated in an independent cohort. Optimal models using clinical and radiomic features could improve personalized selection of therapy in patients with STS
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