Nutrigenomics: Using Sulforaphane Consumption as a Mechanism to Prevent Cardiovascular Disease through Epigenetic Regulation

Cardiovascular disease is the leading cause of death in the United States. Diet composition and reduced expression of the transcription factor Nrf2 are both possible factors contributing to cardiovascular disease. As vitamin supplementation grows in scope and popularity, it is becoming common to replace vegetable consumption with multivitamins. The purpose of this research was to investigate how sulforaphane, an isothiocyanate found in its greatest quantities in broccoli, prevents cardiovascular disease through epigenetic regulation in order to promote the understanding that vitamin supplementation does not adequately replace the health benefits of phytonutrients found in vegetables. In order to investigate sulforaphane’s ability to prevent cardiovascular disease through epigenetic regulation, I studied scholarly journal articles that focused on experiments involving sulforaphane-induced activation of Nrf2 and the effects of Nrf2 activation such as up-regulation of antioxidant genes and phase II enzymes. Additionally, I studied articles examining sulforaphane-induced reductions in blood pressure and elimination of cardiac dysfunctions such as cardiac hypertrophy and decreased fractional shortening with the goal of identifying Nrf2 activation as the underlying mechanism. The results showed that up-regulation of antioxidant genes, signaling of phase II enzymes, lowered blood pressure, and elimination of cardiac dysfunctions were all a result of sulforaphane-induced activation of Nrf2. These results indicate that people who may be at risk for cardiovascular disease could benefit from including broccoli in their diet rather than using vitamin and mineral supplementation to replace vegetables that provide valuable phytonutrients.https://scholarscompass.vcu.edu/uresposters/1284/thumbnail.jp

Human-Assisted Continual Robot Learning with Foundation Models

Large Language Models (LLMs) have been shown to act like planners that can decompose high-level instructions into a sequence of executable instructions. However, current LLM-based planners are only able to operate with a fixed set of skills. We overcome this critical limitation and present a method for using LLM-based planners to query new skills and teach robots these skills in a data and time-efficient manner for rigid object manipulation. Our system can re-use newly acquired skills for future tasks, demonstrating the potential of open world and lifelong learning. We evaluate the proposed framework on multiple tasks in simulation and the real world. Videos are available at: https://sites.google.com/mit.edu/halp-robot-learning

Psychological experience and coping strategies of patients in the Northeast US delaying care for infertility during the COVID-19 pandemic.

BACKGROUND: On March 17, 2020 an expert ASRM task force recommended the temporary suspension of new, non-urgent fertility treatments during an ongoing world-wide pandemic of Covid-19. We surveyed at the time of resumption of fertility care the psychological experience and coping strategies of patients pausing their care due to Covid-19 and examined which factors were associated and predictive of resilience, anxiety, stress and hopefulness. METHODS: Cross sectional cohort patient survey using an anonymous, self-reported, single time, web-based, HIPPA compliant platform (REDCap). Survey sampled two Northeast academic fertility practices (Yale Medicine Fertility Center in CT and Montefiore\u27s Institute for Reproductive Medicine and Health in NY). Data from multiple choice and open response questions collected demographic, reproductive history, experience and attitudes about Covid-19, prior infertility treatment, sense of hopefulness and stress, coping strategies for mitigating stress and two validated psychological surveys to assess anxiety (six-item short-form State Trait Anxiety Inventory (STAl-6)) and resilience (10-item Connor-Davidson Resilience Scale, (CD-RISC-10). RESULTS: Seven hundred thirty-four patients were sent invitations to participate. Two hundred fourteen of 734 (29.2%) completed the survey. Patients reported their fertility journey had been delayed a mean of 10 weeks while 60% had been actively trying to conceive \u3e 1.5 years. The top 5 ranked coping skills from a choice of 19 were establishing a daily routine, going outside regularly, exercising, maintaining social connection via phone, social media or Zoom and continuing to work. Having a history of anxiety (p \u3c 0.0001) and having received oral medication as prior infertility treatment (p \u3c 0.0001) were associated with lower resilience. Increased hopefulness about having a child at the time of completing the survey (p \u3c 0.0001) and higher resilience scores (p \u3c 0.0001) were associated with decreased anxiety. Higher reported stress scores (p \u3c 0.0001) were associated with increased anxiety. Multiple multivariate regression showed being non-Hispanic black (p = 0.035) to be predictive of more resilience while variables predictive of less resilience were being a full-time homemaker (p = 0.03), having received oral medication as prior infertility treatment (p = 0.003) and having higher scores on the STAI-6 (\u3c 0.0001). CONCLUSIONS: Prior to and in anticipation of further pauses in treatment the clinical staff should consider pretreatment screening for psychological distress and provide referral sources. In addition, utilization of a patient centered approach to care should be employed

Estimate of the incidence of PANDAS and PANS in 3 primary care populations

ObjectivePediatric Autoimmune Neuropsychiatric Disorder Associated with Streptococcal infection (PANDAS) and Pediatric Acute-Onset Neuropsychiatric syndrome (PANS) are presumed autoimmune complications of infection or other instigating events. To determine the incidence of these disorders, we performed a retrospective review for the years 2017–2019 at three academic medical centers.MethodsWe identified the population of children receiving well-child care at each institution. Potential cases of PANS and PANDAS were identified by including children age 3–12 years at the time they received one of five new diagnoses: avoidant/restrictive food intake disorder, other specified eating disorder, separation anxiety disorder of childhood, obsessive-compulsive disorder, or other specified disorders involving an immune mechanism, not elsewhere classified. Tic disorders was not used as a diagnostic code to identify cases. Data were abstracted; cases were classified as PANDAS or PANS if standard definitions were met.ResultsThe combined study population consisted of 95,498 individuals. The majority were non-Hispanic Caucasian (85%), 48% were female and the mean age was 7.1 (SD 3.1) years. Of 357 potential cases, there were 13 actual cases [mean age was 6.0 (SD 1.8) years, 46% female and 100% non-Hispanic Caucasian]. The estimated annual incidence of PANDAS/PANS was 1/11,765 for children between 3 and 12 years with some variation between different geographic areas.ConclusionOur results indicate that PANDAS/PANS is a rare disorder with substantial heterogeneity across geography and time. A prospective investigation of the same question is warranted

Multidimensional reduction of multicentric cohort heterogeneity: An alternative method to increase statistical power and robustness

International audienceModern clinical research takes advantage of multicentric cohorts to increase sample size and gain in statistical power. However, combining individuals from different recruitment centers provides heterogeneity in the dataset that needs to be accounted for to obtain robust results. Sophisticated statistical multivariate models adjusting for center effect can be implemented, but they can become unstable and can be complex to interpret with the increasing number of covariates to consider. Here, we present a multidimensional reduction technique to identify heterogeneity in a French multicentric cohort of hematopoietic stem cell transplantations and characterize a homogeneous subgroup prior to performing simple statistical univariate analyses. The exclusion of outliers allowed the identification of two genetic factors associated with post-transplantation overall survival. We therefore provide proof-of-concept that a samplesizereduction methodcanefficientlyaccount forheterogeneity andcentereffect inmulticentric cohorts while increasing statistical power and robustness for discovery of new association signals

Harnessing electronic medical records to advance research on multiple sclerosis

International audienc