Seated Postural Changes with Foot Position at a Tall Workstation

Back pain is a leading cause of disability costing 100 billion in healthcare and missed work in the United States alone15. While traditional workstations have been extensively studied, non-traditional workstations have not been as rigorously investigated for ideal settings and possible improvement4. The motivation for this project was to investigate an understudied but growing workstation setup—a tall workstation. The aim of this project was to assess tall workstations and the effect of foot position on back posture. Posture is a growing area of research as we understand that the spinal loading of sitting for long periods of time can have long lasting deleterious effects3,26. In this study we determined the feasibility of quantifying back posture during two 30-minute data collections and developed methods for analyzing time-varying back posture. This study involved collecting a single dataset from a volunteer who sat a tall workstation setup, where feet are not meant to touch the floor, with two different foot positions. For the first foot position, the subject placed their feet under the table on a bar made for that purpose, and the second position was to place the feet on the circular ring under the chair also designed for this use. The three-dimensional position of 11 retroreflective markers adhered to the spine and back were collected for thirty minutes in each position (60 minutes total). Lastly, two reference posture datasets were collected for one minute—a standing posture and a traditional seated posture. Marker position movement was quantified by taking the absolute distance of each marker position from its own starting point as the origin. Marker positions along the spine were fit to a 5th order polynomial on each timeframe to investigate changes in the shape of the spine over time and between foot positions. At each marker location, the slope of the 5th order polynomial was determined to assess in which anatomical locations the spine changed shape over time and between foot positions. The slopes along the spine were subtracted from the first timeframe and the preferred postures, and the absolute value was then summed and averaged across all the markers. The plot of marker positions over time showed that the subject moved increasingly farther away from the origin in both foot positions. The 5th order polynomials showed that both foot positions were significantly more curved than the preferred postures and they both curved more overtime though the FUT posture curved slightly more. Overall, this thesis demonstrates the feasibility of quantifying back posture with varying foot position at a tall workstation. Ongoing subject recruitment and data collections will generate results for which statistical comparisons can be made for temporal changes in back posture and foot positions

Identity Integration in Emerging Adulthood: A Longitudinal Investigation of Well-Being and Psychological Outcomes

University of Minnesota Ph.D. dissertation.June 2019. Major: Psychology. Advisor: Moin Syed. 1 computer file (PDF); ix, 134 pages.This study applies the theoretical framework for identity integration presented by Syed and McLean (2016) to a longitudinal and mixed methods investigation of the process and content of contextual identity integration in emerging adults at four time points over the first three years of college (N = 189, Mage at wave one = 18.70). A unique application of Little’s (2015) Personal Projects Analysis was used to address five weaknesses of past investigations of contextual identity integration by exploring identity integration at the second tier of personality: characteristic adaptations. Results suggested two unique processes: contextual identity integration and contextual identity disintegration. For the majority of participants contextual identity integration decreased across the first three years of college. Concurrent associations suggested complex associations between psychological health, contextual identity integration and disintegration. Taken together with coding of the content of these integrative processes, findings suggest the significance of interpersonal connection to contextual identity integration, as well as the importance of novel approaches to the measurement of identity integration

Characterizing the immune microenvironment of malignant peripheral nerve sheath tumor by PD-L1 expression and presence of CD8+ tumor infiltrating lymphocytes.

BackgroundMalignant peripheral nerve sheath tumor (MPNST) is an aggressive sarcoma with few treatment options. Tumor immune state has not been characterized in MPNST, and is important in determining response to immune checkpoint blockade. Our aim was to evaluate the expression of programmed death-ligand 1 (PD-L1), programmed cell death protein 1 (PD-1), and presence of CD8+ tumor infiltrating lymphocytes (TILs) in MPNST, and correlate these findings with clinical behavior and outcome.ResultsPD-L1 staining of at least 1% was seen in 0/20 nerves, 2/68 benign lesions and 9/53 MPNST. Two of 68 benign lesions and 7/53 (13%) MPNST had at least 5% PD-L1 staining. CD8 staining of at least 5% was seen in 1/20 (5%) nerves, 45/68 (66%) benign lesions and 30/53 (57%) MPNST. PD-L1 was statistically more prevalent in MPNST than both nerves and benign lesions (p=0.049 and p=0.008, respectively). Expression of PD-1 was absent in all tissue specimens. There was no correlation of PD-L1 or CD8 expression with disease state (primary versus metastatic) or patient survival.MethodsA comprehensive PNST tissue microarray was created from 141 surgical specimens including primary, recurrent, and metastatic MPNST (n=53), neurofibromas (n=57), schwannoma (n=11), and normal nerve (n=20). Cores were stained in triplicate for PD-L1, PD-1, and CD8, and expression compared between tumor types. These data were then examined for survival correlates in 35 patients with primary MPNST.ConclusionsMPNST is characterized by low PD-L1 and absent PD-1 expression with significant CD8+ TIL presence. MPNST immune microenvironment does not correlate with patient outcome

SIVIC: Open-Source, Standards-Based Software for DICOM MR Spectroscopy Workflows

Quantitative analysis of magnetic resonance spectroscopic imaging (MRSI) data provides maps of metabolic parameters that show promise for improving medical diagnosis and therapeutic monitoring. While anatomical images are routinely reconstructed on the scanner, formatted using the DICOM standard, and interpreted using PACS workstations, this is not the case for MRSI data. The evaluation of MRSI data is made more complex because files are typically encoded with vendor-specific file formats and there is a lack of standardized tools for reconstruction, processing, and visualization. SIVIC is a flexible open-source software framework and application suite that enables a complete scanner-to-PACS workflow for evaluation and interpretation of MRSI data. It supports conversion of vendor-specific formats into the DICOM MR spectroscopy (MRS) standard, provides modular and extensible reconstruction and analysis pipelines, and provides tools to support the unique visualization requirements associated with such data. Workflows are presented which demonstrate the routine use of SIVIC to support the acquisition, analysis, and delivery to PACS of clinical 1H MRSI datasets at UCSF

Correlates of sociometric status in Russian preschoolers: Aggression, victimization, and sociability

© 2016 Elsevier Ltd. Few studies have assessed behavioral correlates of preschool children\u27s peer sociometric status in cultures outside North America. This study focuses on 221 Russian preschoolers (108 boys, 113 girls). Correlates included physical and relational forms of aggression/victimization and sociable behavior. Confirmatory Factor Analyses (CFA) established that study instruments originally developed with U.S. preschoolers worked well in Russia. Findings in regard to aggression, sociability, and victimization were generally consistent with previous research with American and Italian preschoolers, particularly in regard to controversial status children. Our findings further challenge the notion that controversial children are consistently savvy in their social interactions. They and rejected children were most likely to be physically and relationally victimized by their peers

Vemurafenib-resistant BRAF-V600E-mutated melanoma is regressed by MEK-targeting drug trametinib, but not cobimetinib in a patient-derived orthotopic xenograft (PDOX) mouse model.

Melanoma is a recalcitrant disease. The present study used a patient-derived orthotopic xenograft (PDOX) model of melanoma to test sensitivity to three molecularly-targeted drugs and one standard chemotherapeutic. A BRAF-V600E-mutant melanoma obtained from the right chest wall of a patient was grown orthotopically in the right chest wall of nude mice to establish a PDOX model. Two weeks after implantation, 50 PDOX nude mice were divided into 5 groups: G1, control without treatment; G2, vemurafenib (VEM) (30 mg/kg); G3; temozolomide (TEM) (25 mg/kg); G4, trametinib (TRA) (0.3 mg/kg); and G5, cobimetinib (COB) (5 mg/kg). Each drug was administered orally, daily for 14 consecutive days. Tumor sizes were measured with calipers twice a week. On day 14 from initiation of treatment, TRA, an MEK inhibitor, was the only agent of the 4 tested that caused tumor regression (P < 0.001 at day 14). In contrast, another MEK inhibitor, COB, could slow but not arrest growth or cause regression of the melanoma. First-line therapy TEM could slow but not arrest tumor growth or cause regression. The patient in this study had a BRAF-V600E-mutant melanoma and would be considered to be a strong candidate for VEM as first-line therapy, since VEM targets this mutation. However, VEM was not effective. The PDOX model thus helped identify the very-high efficacy of TRA against the melanoma PDOX and is a promising drug for this patient. These results demonstrate the powerful precision of the PDOX model for cancer therapy, not achievable by genomic analysis alone

Metabolic Profiling of IDH Mutation and Malignant Progression in Infiltrating Glioma.

Infiltrating low grade gliomas (LGGs) are heterogeneous in their behavior and the strategies used for clinical management are highly variable. A key factor in clinical decision-making is that patients with mutations in the isocitrate dehydrogenase 1 and 2 (IDH1/2) oncogenes are more likely to have a favorable outcome and be sensitive to treatment. Because of their relatively long overall median survival, more aggressive treatments are typically reserved for patients that have undergone malignant progression (MP) to an anaplastic glioma or secondary glioblastoma (GBM). In the current study, ex vivo metabolic profiles of image-guided tissue samples obtained from patients with newly diagnosed and recurrent LGG were investigated using proton high-resolution magic angle spinning spectroscopy (1H HR-MAS). Distinct spectral profiles were observed for lesions with IDH-mutated genotypes, between astrocytoma and oligodendroglioma histologies, as well as for tumors that had undergone MP. Levels of 2-hydroxyglutarate (2HG) were correlated with increased mitotic activity, axonal disruption, vascular neoplasia, and with several brain metabolites including the choline species, glutamate, glutathione, and GABA. The information obtained in this study may be used to develop strategies for in vivo characterization of infiltrative glioma, in order to improve disease stratification and to assist in monitoring response to therapy

Associations between cannabis use, polygenic liability for schizophrenia, and cannabis-related experiences in a sample of cannabis users

BACKGROUND AND HYPOTHESIS: Risk for cannabis use and schizophrenia is influenced in part by genetic factors, and there is evidence that genetic risk for schizophrenia is associated with subclinical psychotic-like experiences (PLEs). Few studies to date have examined whether genetic risk for schizophrenia is associated with cannabis-related PLEs. STUDY DESIGN: We tested whether measures of cannabis involvement and polygenic risk scores (PRS) for schizophrenia were associated with self-reported cannabis-related experiences in a sample ascertained for alcohol use disorders (AUDs), the Collaborative Study on the Genetics of Alcoholism (COGA). We analyzed 4832 subjects (3128 of European ancestry and 1704 of African ancestry; 42% female; 74% meeting lifetime criteria for an AUD). STUDY RESULTS: Cannabis use disorder (CUD) was prevalent in this analytic sample (70%), with 40% classified as mild, 25% as moderate, and 35% as severe. Polygenic risk for schizophrenia was positively associated with cannabis-related paranoia, feeling depressed or anhedonia, social withdrawal, and cognitive difficulties, even when controlling for duration of daily cannabis use, CUD, and age at first cannabis use. The schizophrenia PRS was most robustly associated with cannabis-related cognitive difficulties (β = 0.22, SE = 0.04, P = 5.2e-7). In an independent replication sample (N = 1446), associations between the schizophrenia PRS and cannabis-related experiences were in the expected direction and not statistically different in magnitude from those in the COGA sample. CONCLUSIONS: Among individuals who regularly use cannabis, genetic liability for schizophrenia-even in those without clinical features-may increase the likelihood of reporting unusual experiences related to cannabis use