Gene regulatory networks (GRNs) have been widely used as a fundamental tool to reveal the genomic mechanisms that underlie the individual’s response to environmental and developmental cues. Standard approaches infer GRNs as holistic graphs of gene co-expression, but such graphs cannot quantify how gene–gene interactions vary among individuals and how they alter structurally across spatiotemporal gradients. Here, we develop a general framework for inferring informative, dynamic, omnidirectional, and personalized networks (idopNetworks) from routine transcriptional experiments. This framework is constructed by a system of quasi-dynamic ordinary differential equations (qdODEs) derived from the combination of ecological and evolutionary theories. We reconstruct idopNetworks using genomic data from a surgical experiment and illustrate how network structure is associated with surgical response to infrainguinal vein bypass grafting and the outcome of grafting. idopNetworks may shed light on genotype–phenotype relationships and provide valuable information for personalized medicine.

Background: Poor transitions of care leads to increased health costs, utilization and poor outcomes. This study evaluated Telehealth feasibility in improving transitions of care. Methods: This is a 12-month randomized controlled trial, evaluating the use of telehealth (remote patient monitoring and video visits) versus standard transitions of care with the outcomes of over utilization, access to care, medication management and adherence and patient engagement. Results: The study conducted between June 2017 and 2018, included 105 patients. Compared with the standard of care, Telehealth patients were more likely to have medicine reconciliation (p = 0.013) and were 7 times more likely to adhere to medication than the control group (p = 0.03). Telehealth patients exhibited enthusiasm (p = 0.0001), and confidence that Telehealth could improve their healthcare (p= 0.0001). Telehealth showed no statistical significance on ED utilization (p = 0.691) nor for readmissions (p = 0.31). 100% of Telehealth patients found the intervention to be valuable, 98% if given the opportunity, reported they would continue using telehealth to manage their healthcare needs, and 94% reported that the remote patient monitoring technology was useful. Conclusions: Telehealth can improve transitions of care after hospital discharge improving patient engagement and adherence to medications. Although this study was unable to show the effect of Telehealth on reduced healthcare utilization, more research needs to be done in order to understand the true impact of Telehealth on preventing avoidable hospital readmission and ED visits.

While major depression is known to be associated with glomerular filtration rate (GFR) decline, there is a lack of data on the association of other mental illnesses like posttraumatic stress disorder (PTSD) with kidney disease. In 640 adult participants of the Heart and Soul Study (mean baseline age of 66.2 years) with a high prevalence cardiovascular disease, hypertension and diabetes, we examined the association of PTSD with GFR decline over a 5-year follow-up. We observed a significantly greater estimated (e) GFR decline over time in those with PTSD compared to those without (2.97 vs. 2.11 ml/min/1.73 m 2 /year; p = .022). PTSD was associated with 91% (95% CI 12%-225%) higher odds of 'rapid' versus 'mild' (>3.0 vs. <3.0 ml/min/1.73 m 2 / per year) eGFR decline. These associations remained consistent despite controlling for demographics, medical comorbidities, other mental disorders and psychiatric medications. In conclusion, our study provides evidence that PTSD is independently associated with GFR decline in middle-aged adults with a high comorbidity burden. This association needs to be examined in larger cohorts with longer follow-ups.

Background Human babesiosis is an emerging tick-borne disease in the US that is primarily caused by the protozoan Babesia microti (Bm). Although Babesiosis can cause life-threatening infections, the pathophysiology including host and parasite determinants associated with disease severity are largely unknown. The aim of this study is to identify parasite and host signatures of human babesiosis and correlate these with disease severity and long-term symptoms. Methods We enrolled prospectively patients with acute babesiosis (microcopy positive blood smear for Bm, confirmed by PCR) at Stony Brook University Hospital during 2020-2021. Blood samples and surveys were completed at initial diagnosis (Visit=1;V1) and at months 1, 6 and 12 (V2,V3,V4). Total RNA from whole peripheral blood was isolated using the PAXgene Blood RNA Kit from individuals infected with Bm and healthy controls. Quality of life (QOL) surveys were administered to patients. Results Peripheral blood transcriptome analysis of 17 patients (median age: 63 years, range 42-78; 24% female) who presented with babesiosis were distinctly different from uninfected individuals (n=9). Babesiosis was associated with a peripheral blood Type I and Type II Interferon transcriptional signature. Other dominant transcriptional signatures included those involved in activation of mononuclear cells, oxidative phosphorylation, inducible nitric oxide synthase and regulation of homeostasis as well as inducible nitric oxide synthase. Ingenuity Pathway Analysis for clinical chemistry and hematology also highlight changes associated with cardiotoxicity, hepatotoxicity, and nephrotoxicity as well as increased levels of red blood cells. Patients with babesiosis showed a persistent deterioration of QOL in cognition [mean V1=33.1; V3=36.3] and satisfaction [mean V1=28.4; V3=34]. Also a decrease in QOL over time despite effective treatment [mean at V1 82 (SD: 5.9), V2 80 (8.1), V3 76 (4.7) (p &gt;0.05). Heat Map Summary. Volcano Plot Gene Pathways Analysis Conclusion Babesiosis is associated with a marked alteration in the peripheral blood transcriptome of patients that may also provide insight into both the pathophysiology of the disease including severity and complications. Furthermore, even after successful treatment, babesiosis may result in long-term impacts on quality of life indicators. Disclosures All Authors: No reported disclosures.