IMPACT: The Journal of the Center for Interdisciplinary Teaching and Learning. Volume 9, Issue 1, Winter 2020

Explicitly established to foreground interdisciplinary teaching and learning, Impact also welcomes evidence and discussion of experiential learning. Often the two – interdisciplinary teaching and experiential learning – co-exist. Yet even when they do not, both practices model how to think in myriad ways and to notice how knowledge is constructed. As our winter 2019 issue makes clear, interdisciplinary teaching and learning and experiential learning often begin with questions. Why does it matter that students grapple directly with archival material? What happens when undergraduates practice psychology by training dogs? Do students understand financial literacy? This issue also asks questions about students’ reading habits and faculty expectations of them as readers

The Joint Council on Thoracic Surgery Education (JCTSE) “Educate the Educators” Faculty Development Course: Analysis of the First 5 Years

BACKGROUND: Since 2010, the Joint Council on Thoracic Surgery Education, Inc (JCTSE) has sponsored an annual "Educate the Educators" (EtE) course. The goal is to provide United States academic cardiothoracic surgeons (CTS) the fundamentals of teaching skills, educational curriculum development, and using education for academic advancement. This report describes the course development and evaluation along with attendee's self-assessment of skills through the first 5 years of the program. METHODS: The content of this 2½-day course was based on needs assessment surveys of CTS and residents attending annual meetings in 2009. From 2010 to 2014, EtE was offered to all CTS at training programs approved by the Accreditation Council for Graduate Medical Education. Course content was evaluated by using end-of-course evaluation forms. A 5-point Likert scale (1 = poor, 5 = excellent) was used to obtain composite assessment mean scores for the 5 years on course variables, session presentations, and self-assessments. RESULTS: With 963 known academic CTS in the United States, 156 (16.3%) have attended, representing 70 of 72 training programs (97%), and 1 international surgeon attended. There were also 7 program coordinators. Ratings of core course contents ranged from 4.4 to 4.8, accompanied with highly complementary comments. Through self-assessment, skills and knowledge in all content areas statistically improved significantly. The effect of the course was evaluated with a follow-up survey in which responders rated the program 4.3 on the usefulness of the information for their career and 3.9 for educational productivity. CONCLUSIONS: The EtE program offers an excellent opportunity for academic CTS to enhance their teaching skills, develop educational activities, and prepare for academic promotion. With its unique networking and mentorship environment, the EtE program is an important resource in the evolution of cardiothoracic surgical training in the United States

Teaching behaviors in the cardiac surgery simulation environment

OBJECTIVE: To understand how teaching behaviors contribute to simulation-based learning, we used a 7-category educational framework to assess the teaching behaviors used in basic skills training. METHODS: Twenty-four first-year cardiothoracic surgery residents and 20 faculty participated in the Boot Camp vessel anastomosis sessions. A portable chest model with synthetic graft and target vessels and a tissue-based porcine model simulated coronary artery anastomosis. After each 2-hour session on days 1 and 2, residents assessed teaching behaviors of faculty using a 20-item questionnaire based on the 5-point Likert scale. After session on day 1, faculty completed a self-assessment questionnaire. At 3 months, faculty completed self-assessment questionnaires regarding teaching behaviors in simulation and clinical settings. Each questionnaire item represents 1 or more teaching categories: "learning climate," "control of session," "communication of goals," "promoting understanding and retention," "evaluation," "feedback," and "self-directed learning." RESULTS: Generally, resident ratings indicated that faculty showed positive teaching behaviors. Faculty self-assessment ratings were all lower (P < .025) than those assigned to them by the residents except for 1 component representative of "feedback," which approached significance (P = .04); 2 items, representative of "promoting understanding and retention" and "evaluation", had mean scores of less than 3. At 3 months, compared with self-assessment at Boot Camp, faculty ratings suggested improved teaching behaviors in their simulation settings in the following: "learning climate," "control of session," "communication of goals," "promoting understanding and retention," and "evaluation." The simulation environment was perceived as more positive for technical skills training in certain aspects compared with clinical setting: instructor reviewed function and operation of equipment with learner before session (representative of "promoting understanding and retention") and instructor allowed the learner ample time to practice (representative of "control of session" and "promoting understanding and retention") (P < .025). CONCLUSIONS: Simulation-based skills training is perceived by residents to be associated with positive teaching behaviors. Faculty self-ratings indicate that they do not always use many of these teaching behaviors and that their performance can be improved. The simulation setting may provide greater opportunity for positive teaching behaviors compared with the clinical environment

Integration of proteomics with CT-based qualitative and radiomic features in high-grade serous ovarian cancer patients: an exploratory analysis

Abstract: Objectives: To investigate the association between CT imaging traits and texture metrics with proteomic data in patients with high-grade serous ovarian cancer (HGSOC). Methods: This retrospective, hypothesis-generating study included 20 patients with HGSOC prior to primary cytoreductive surgery. Two readers independently assessed the contrast-enhanced computed tomography (CT) images and extracted 33 imaging traits, with a third reader adjudicating in the event of a disagreement. In addition, all sites of suspected HGSOC were manually segmented texture features which were computed from each tumor site. Three texture features that represented intra- and inter-site tumor heterogeneity were used for analysis. An integrated analysis of transcriptomic and proteomic data identified proteins with conserved expression between primary tumor sites and metastasis. Correlations between protein abundance and various CT imaging traits and texture features were assessed using the Kendall tau rank correlation coefficient and the Mann-Whitney U test, whereas the area under the receiver operating characteristic curve (AUC) was reported as a metric of the strength and the direction of the association. P values < 0.05 were considered significant. Results: Four proteins were associated with CT-based imaging traits, with the strongest correlation observed between the CRIP2 protein and disease in the mesentery (p < 0.001, AUC = 0.05). The abundance of three proteins was associated with texture features that represented intra-and inter-site tumor heterogeneity, with the strongest negative correlation between the CKB protein and cluster dissimilarity (p = 0.047, τ = 0.326). Conclusion: This study provides the first insights into the potential associations between standard-of-care CT imaging traits and texture measures of intra- and inter-site heterogeneity, and the abundance of several proteins. Key Points: • CT-based texture features of intra- and inter-site tumor heterogeneity correlate with the abundance of several proteins in patients with HGSOC. • CT imaging traits correlate with protein abundance in patients with HGSOC

Integration of proteomics with CT-based qualitative and radiomic features in high-grade serous ovarian cancer patients: an exploratory analysis

Abstract: Objectives: To investigate the association between CT imaging traits and texture metrics with proteomic data in patients with high-grade serous ovarian cancer (HGSOC). Methods: This retrospective, hypothesis-generating study included 20 patients with HGSOC prior to primary cytoreductive surgery. Two readers independently assessed the contrast-enhanced computed tomography (CT) images and extracted 33 imaging traits, with a third reader adjudicating in the event of a disagreement. In addition, all sites of suspected HGSOC were manually segmented texture features which were computed from each tumor site. Three texture features that represented intra- and inter-site tumor heterogeneity were used for analysis. An integrated analysis of transcriptomic and proteomic data identified proteins with conserved expression between primary tumor sites and metastasis. Correlations between protein abundance and various CT imaging traits and texture features were assessed using the Kendall tau rank correlation coefficient and the Mann-Whitney U test, whereas the area under the receiver operating characteristic curve (AUC) was reported as a metric of the strength and the direction of the association. P values < 0.05 were considered significant. Results: Four proteins were associated with CT-based imaging traits, with the strongest correlation observed between the CRIP2 protein and disease in the mesentery (p < 0.001, AUC = 0.05). The abundance of three proteins was associated with texture features that represented intra-and inter-site tumor heterogeneity, with the strongest negative correlation between the CKB protein and cluster dissimilarity (p = 0.047, τ = 0.326). Conclusion: This study provides the first insights into the potential associations between standard-of-care CT imaging traits and texture measures of intra- and inter-site heterogeneity, and the abundance of several proteins. Key Points: • CT-based texture features of intra- and inter-site tumor heterogeneity correlate with the abundance of several proteins in patients with HGSOC. • CT imaging traits correlate with protein abundance in patients with HGSOC

Integration of proteomics with CT-based qualitative and radiomic features in high-grade serous ovarian cancer patients: an exploratory analysis

Abstract: Objectives: To investigate the association between CT imaging traits and texture metrics with proteomic data in patients with high-grade serous ovarian cancer (HGSOC). Methods: This retrospective, hypothesis-generating study included 20 patients with HGSOC prior to primary cytoreductive surgery. Two readers independently assessed the contrast-enhanced computed tomography (CT) images and extracted 33 imaging traits, with a third reader adjudicating in the event of a disagreement. In addition, all sites of suspected HGSOC were manually segmented texture features which were computed from each tumor site. Three texture features that represented intra- and inter-site tumor heterogeneity were used for analysis. An integrated analysis of transcriptomic and proteomic data identified proteins with conserved expression between primary tumor sites and metastasis. Correlations between protein abundance and various CT imaging traits and texture features were assessed using the Kendall tau rank correlation coefficient and the Mann-Whitney U test, whereas the area under the receiver operating characteristic curve (AUC) was reported as a metric of the strength and the direction of the association. P values < 0.05 were considered significant. Results: Four proteins were associated with CT-based imaging traits, with the strongest correlation observed between the CRIP2 protein and disease in the mesentery (p < 0.001, AUC = 0.05). The abundance of three proteins was associated with texture features that represented intra-and inter-site tumor heterogeneity, with the strongest negative correlation between the CKB protein and cluster dissimilarity (p = 0.047, τ = 0.326). Conclusion: This study provides the first insights into the potential associations between standard-of-care CT imaging traits and texture measures of intra- and inter-site heterogeneity, and the abundance of several proteins. Key Points: • CT-based texture features of intra- and inter-site tumor heterogeneity correlate with the abundance of several proteins in patients with HGSOC. • CT imaging traits correlate with protein abundance in patients with HGSOC

Gut Microbiome Dysbiosis in Antibiotic-Treated COVID-19 Patients is Associated with Microbial Translocation and Bacteremia

Although microbial populations in the gut microbiome are associated with COVID-19 severity, a causal impact on patient health has not been established. Here we provide evidence that gut microbiome dysbiosis is associated with translocation of bacteria into the blood during COVID-19, causing life-threatening secondary infections. We first demonstrate SARS-CoV-2 infection induces gut microbiome dysbiosis in mice, which correlated with alterations to Paneth cells and goblet cells, and markers of barrier permeability. Samples collected from 96 COVID-19 patients at two different clinical sites also revealed substantial gut microbiome dysbiosis, including blooms of opportunistic pathogenic bacterial genera known to include antimicrobial-resistant species. Analysis of blood culture results testing for secondary microbial bloodstream infections with paired microbiome data indicates that bacteria may translocate from the gut into the systemic circulation of COVID-19 patients. These results are consistent with a direct role for gut microbiome dysbiosis in enabling dangerous secondary infections during COVID-19

Genetic correlation between amyotrophic lateral sclerosis and schizophrenia

A. Palotie on työryhmän Schizophrenia Working Grp Psychiat jäsen.We have previously shown higher-than-expected rates of schizophrenia in relatives of patients with amyotrophic lateral sclerosis (ALS), suggesting an aetiological relationship between the diseases. Here, we investigate the genetic relationship between ALS and schizophrenia using genome-wide association study data from over 100,000 unique individuals. Using linkage disequilibrium score regression, we estimate the genetic correlation between ALS and schizophrenia to be 14.3% (7.05-21.6; P = 1 x 10(-4)) with schizophrenia polygenic risk scores explaining up to 0.12% of the variance in ALS (P = 8.4 x 10(-7)). A modest increase in comorbidity of ALS and schizophrenia is expected given these findings (odds ratio 1.08-1.26) but this would require very large studies to observe epidemiologically. We identify five potential novel ALS-associated loci using conditional false discovery rate analysis. It is likely that shared neurobiological mechanisms between these two disorders will engender novel hypotheses in future preclinical and clinical studies.Peer reviewe