Dissecting the Shared Genetic Architecture of Suicide Attempt, Psychiatric Disorders, and Known Risk Factors

Background Suicide is a leading cause of death worldwide, and nonfatal suicide attempts, which occur far more frequently, are a major source of disability and social and economic burden. Both have substantial genetic etiology, which is partially shared and partially distinct from that of related psychiatric disorders. Methods We conducted a genome-wide association study (GWAS) of 29,782 suicide attempt (SA) cases and 519,961 controls in the International Suicide Genetics Consortium (ISGC). The GWAS of SA was conditioned on psychiatric disorders using GWAS summary statistics via multitrait-based conditional and joint analysis, to remove genetic effects on SA mediated by psychiatric disorders. We investigated the shared and divergent genetic architectures of SA, psychiatric disorders, and other known risk factors. Results Two loci reached genome-wide significance for SA: the major histocompatibility complex and an intergenic locus on chromosome 7, the latter of which remained associated with SA after conditioning on psychiatric disorders and replicated in an independent cohort from the Million Veteran Program. This locus has been implicated in risk-taking behavior, smoking, and insomnia. SA showed strong genetic correlation with psychiatric disorders, particularly major depression, and also with smoking, pain, risk-taking behavior, sleep disturbances, lower educational attainment, reproductive traits, lower socioeconomic status, and poorer general health. After conditioning on psychiatric disorders, the genetic correlations between SA and psychiatric disorders decreased, whereas those with nonpsychiatric traits remained largely unchanged. Conclusions Our results identify a risk locus that contributes more strongly to SA than other phenotypes and suggest a shared underlying biology between SA and known risk factors that is not mediated by psychiatric disorders.Peer reviewe

Quality of gas metal arc welds for rapid prototyping and wear replacement

Rapid prototyping by Gas Metal Arc Welding is a method of making a prototype by creating layers of welds to form a desired shape. The work in this thesis investigates the feasibility of a robotic Gas Metal Arc Welding cell for rapid prototyping and wear replacement applications. The experiments were divided into two categories, ie. thin walled objects and solid objects. The optimal range of welding parameters for the two types of objects were investigated extensively for their suitability for rapid prototyping and wear replacement applications. The experiments include investigations of the mechanical property, surface temperature and surface regularity of the welded steel created by rapid prototyping and wear replacement techniques. The importance and the significance of selecting the correct welding parameters for rapid prototyping and wear replacement applications are demonstrated in this thesis. In the experiments, it was found that the welding parameters lie within a narrow range. It was also determined that the suitable settings are in the short-circuit transfer mode. However, in the case of the solid objects it was determined that spray transfer is a suitable transfer mode for the fill

Acute Responses to Oxygen Delivery via High Flow Nasal Cannula in Patients with Severe Chronic Obstructive Pulmonary Disease—HFNC and Severe COPD

Differences in oxygen delivery methods to treat hypoxemia have the potential to worsen CO2 retention in chronic obstructive lung disease (COPD). Oxygen administration using high flow nasal cannula (HFNC) has multiple physiological benefits in treating respiratory failure including reductions in PaCO2 in a flow-dependent manner. We hypothesized that patients with COPD would develop worsening hypercapnia if oxygen fraction was increased without increasing flow rate. We evaluated the acute response to HFNC in subjects with severe COPD when flow remained constant and inspired oxygen was increased. In total, 11 subjects with severe COPD (FEV1 < 50%) on supplemental oxygen with baseline normocapnia (PaCO2 < 45 mm Hg; n = 5) and hypercapnia (PaCO2 ≥ 45 mm Hg; n = 6) were studied. Arterial blood gas responses were studied at three timepoints: Baseline, HFNC at a flow rate of 30 L/min at resting oxygen supplementation for 1 h, and FiO2 30% above baseline with the same flow rate for the next hour. The primary endpoint was the change in PaCO2 from baseline. No significant changes in PaCO2 were noted in response to HFNC applied at baseline FiO2 in the normocapnic and hypercapnic group. At HFNC with FiO2 30% above baseline, the normocapnic group did not show a change in PaCO2 (baseline: 38.9 ± 1.8 mm Hg; HFNC at higher FiO2: 38.8 ± 3.1 mm Hg; p = 0.93), but the hypercapnic group demonstrated significant increase in PaCO2 (baseline: 58.2 ± 9.3 mm Hg; HFNC at higher FiO2: 63.3 ± 10.9 mm Hg; p = 0.025). We observed worsening hypercapnia in severe COPD patients and baseline hypercapnia who received increased oxygen fraction when flow remained constant. These data show the need for careful titration of oxygen therapy in COPD patients, particularly those with baseline hypercapnia when flow rate is unchanged

Decreased Hering-Breuer input-output entrainment in a mouse model of Rett syndrome

Rett syndrome, a severe X-linked neurodevelopmental disorder caused by mutations in the gene encoding methyl-CpG-binding protein 2 (Mecp2), is associated with a highly irregular respiratory pattern including severe upper-airway dysfunction. Recent work suggests that hyperexcitability of the Hering-Breuer reflex (HBR) pathway contributes to respiratory dysrhythmia in Mecp2 mutant mice. To assess how enhanced HBR input impacts respiratory entrainment by sensory afferents in closed-loop in vivo-like conditions, we investigated the input (vagal stimulus trains) – output (phrenic bursting) entrainment via the HBR in wild-type and Mecp2-deficient mice. Using the in situ perfused brainstem preparation, which maintains an intact pontomedullary axis capable of generating an in vivo-like respiratory rhythm in the absence of the HBR, we mimicked the HBR feedback input by stimulating the vagus nerve (at threshold current, 0.5 ms pulse duration, 75 Hz pulse frequency, 100 ms train duration) at an inter-burst frequency matching that of the intrinsic oscillation of the inspiratory motor output of each preparation. Using this approach, we observed significant input-output entrainment in wild-type mice as measured by the maximum of the cross-correlation function, the peak of the instantaneous relative phase distribution, and the mutual information of the instantaneous phases. This entrainment was associated with a reduction in inspiratory duration during feedback stimulation. In contrast, the strength of input-output entrainment was significantly weaker in Mecp2-/+ mice. However, Mecp2-/+ mice also had a reduced inspiratory duration during stimulation, indicating that reflex behavior in the HBR pathway was intact. Together, these observations suggest that the respiratory network compensates for enhanced sensitivity of HBR inputs by reducing HBR input-output entrainment

Linking Inflammation and Cardiorespiratory Variability in Sepsis via Computational Modeling

Sepsis leads to multiple organ failure by engaging catastrophic feedback loops in which stressed tissue evokes an inflammatory response and, in turn, inflammation damages tissue. Manifestations of this maladaptive inflammatory response include cardio-respiratory dysfunction that may be reflected in reduced heart rate and ventilatory patterns variabilities. We have developed signal-processing algorithms that quantify non-linear deterministic characteristics of variability in biologic signals. Now, coalescing under the aegis of the NIH Computational Biology Program and the Society for Complexity in Acute Illness, two research teams performed iterative experiments and computational modeling on inflammation and cardio-pulmonary dysfunction in sepsis as well as on neural control of respiration and ventilatory pattern variability. These teams, with additional collaborators, have recently formed a multi-institutional, interdisciplinary consortium, whose goal is to delineate the fundamental interrelationship among the inflammatory response, heart rate and ventilatory pattern variability. Multiscale mathematical modeling and complementary physiological experiments will be combined to gain insight into the physiological control structure

Data Acquisition and Complex Systems Analysis in Critical Care: Developing the Intensive Care Unit of the Future

Modern hospitals are equipped with sophisticated monitoring equipment that displays enormous volumes of raw data about the cardiopulmonary and neural functions of patients. The latest generation of bedside monitors attempts to present these data to the clinician in an integrated fashion to better represent the overall physiological condition of the patient. However, none of these systems are capable of extracting potentially important indices of pattern variability inherent within biological signals. This review has three main objectives. (1) To summarize the current state of data acquisition in the intensive care unit and identify limitations that must be overcome to achieve the goal of real-time processing of biological signals to capture subtleties identifying “early warning signals” hidden in physiologic patterns that may reflect current severity of the disease process and, more importantly, predict the likelihood of adverse progression and death or improvement and resolution. (2) To outline our approach to analyzing biological waveform data based on work in animal models of human disease. (3) To propose guidelines for the development, testing and implementation of integrated software and hardware solutions that will facilitate the novel application of complex systems approaches to biological waveform data with the goal of risk assessment