Wheat seed embryo excision enables the creation of axenic seedlings and Koch’s postulates testing of putative bacterial endophytes

Early establishment of endophytes can play a role in pathogen suppression and improve seedling development. One route for establishment of endophytes in seedlings is transmission of bacteria from the parent plant to the seedling via the seed. In wheat seeds, it is not clear whether this transmission route exists, and the identities and location of bacteria within wheat seeds are unknown. We identified bacteria in the wheat (Triticum aestivum) cv. Hereward seed environment using embryo excision to determine the location of the bacterial load. Axenic wheat seedlings obtained with this method were subsequently used to screen a putative endophyte bacterial isolate library for endophytic competency. This absence of bacteria recovered from seeds indicated low bacterial abundance and/or the presence of inhibitors. Diversity of readily culturable bacteria in seeds was low with 8 genera identified, dominated by Erwinia and Paenibacillus. We propose that anatomical restrictions in wheat limit embryo associated vertical transmission, and that bacterial load is carried in the seed coat, crease tissue and endosperm. This finding facilitates the creation of axenic wheat plants to test competency of putative endophytes and also provides a platform for endophyte competition, plant growth, and gene expression studies without an indigenous bacterial background

Exploring Statistical and Population Aspects of Network Complexity

The characterization and the definition of the complexity of objects is an important but very difficult problem that attracted much interest in many different fields. In this paper we introduce a new measure, called network diversity score (NDS), which allows us to quantify structural properties of networks. We demonstrate numerically that our diversity score is capable of distinguishing ordered, random and complex networks from each other and, hence, allowing us to categorize networks with respect to their structural complexity. We study 16 additional network complexity measures and find that none of these measures has similar good categorization capabilities. In contrast to many other measures suggested so far aiming for a characterization of the structural complexity of networks, our score is different for a variety of reasons. First, our score is multiplicatively composed of four individual scores, each assessing different structural properties of a network. That means our composite score reflects the structural diversity of a network. Second, our score is defined for a population of networks instead of individual networks. We will show that this removes an unwanted ambiguity, inherently present in measures that are based on single networks. In order to apply our measure practically, we provide a statistical estimator for the diversity score, which is based on a finite number of samples

Trends of Opioid Use Disorder and Associated Factors in Hospitalized Patients With Arthritis.

Introduction Opioid use was primarily limited to acute pain, postsurgical care, and end of life care setting but now is the most prescribed medication for chronic pain. Arthritis is a chronic disease associated with chronic pain. Given limited options for pain relief in the patient population, these patients are often prescribed opioids and are at increased risk of opioid use disorder (OUD). Therefore, our study aimed to identify factors associated with OUD in patients with arthritis. Methods We analyzed hospitalized adult patients with arthritis with and without OUD using discharge data from National Inpatient Sample (NIS) over five years from January 1, 2010, to December 31, 2014. We looked at trends of OUD in hospitalized patients with arthritis and compared demographic and clinical characteristics of patients with and without OUD using Student\u27s t-test and chi-square test. Multivariate analysis was also used to adjust for variables. Results A total of 21,396,252 arthritis hospitalizations were identified during the five-year study period among which 227,608 had OUD. The prevalence of OUD in arthritis hospitalization increased over the five-year period by 43%. After adjusting for other variables, mental health (OR 2.50 (2.43-2.58)), and substance use (OR 6.39 (6.14-6.66)) disorders were associated with increased odds of OUD. Conclusion The prevalence of OUD among patients with arthritis increased over the five-year study period. Mental health and substance use disorders were associated with increased odds of OUD. More studies are needed to explore alternative pain management options for arthritis patients particularly in those with mental health and substance use disorders

Predictors and Outcomes of Invasive Mechanical Ventilation in Opioid Overdose Hospitalization in the United States.

Introduction Opioid overdose is increasingly becoming common and so is the need for invasive mechanical ventilation (IMV) for opioid overdose admissions in hospitalized patients. Respiratory failure requiring invasive mechanical ventilation is the most common reason for the admission of opioid-associated overdose patients. The aim of our study was to assess the demographic and clinical characteristics associated with the increased need for IMV in hospitalized opioid overdose patients. Methods We analyzed all adult admissions (18 years and above) using the National Inpatient Sample (NIS) database for five years from January 1, 2010-December 31, 2014 to identify opioid overdose patients requiring invasive mechanical ventilation. We compared the demographic and clinical characteristics of opioid overdose patients requiring and not requiring mechanical ventilator support and performed univariate and multivariate analyses to determine the odds ratio (OR) of association. Results A total of 2,528,751 opioid overdose patients were identified among which 6.4% required IMV during hospitalization. The prevalence of opioid overdose and the need for IMV increased by 31% and 38%, respectively, over the study period. Multivariate logistic regression (OR (95% CI)

Seasonal Trends in Hospitalization of Attempted Suicide and Self-Inflicted Injury in United States Adults.

Introduction Suicide is the 10th leading cause of death in the United States (US) and the prevalence continues to increase. It is estimated that there is an average of 25 attempted suicides for every suicide death in the US, and the economic burden of suicide and attempted suicide is high. Identification of those at risk for suicide and attempted suicide can help with early and prompt intervention. Studies in Europe and Asia have shown that there is a relationship between seasonal patterns and suicidal risk. However, little is known about seasonal patterns of suicidal attempts in the US. Therefore, our study aimed to assess seasonal patterns by days of the week and months of the year in the US. Methods Hospitalized adult patients with suicide attempts and self-inflicted injury were identified using the discharge data from the National Inpatient Sample (NIS) from January 1, 2010 to December 31, 2014. We looked at the seasonal trends of patients with attempted suicide and self-inflicted injury by weekday vs weekend and month of the year over the five-year study period. We also assessed two groups, male and female with attempted suicide and compared trends and contributing risk factors over the study period using Student\u27s t-test and chi-square test. Results A total of 249,845 patients with attempted suicide and self-inflicted injury were reported during the study period with a prevalence rate increase of 15%, among which 70% were males, 65.5% white and 38.8% were age 40-64 years. An overall prevalence rate of about 168-200 per 100,000 hospitalizations was reported. There was a higher admission rate on weekends as compared to weekdays (190-300 vs 150-178 per 100,000 hospitalizations). Attempted suicide and self-inflicted injury admissions peaked during the months of July and August with a peak period range of 200-230 per 100,000 hospitalizations in a year. Conclusion The prevalence of attempted suicide is steadily rising. Awareness of the seasonal and epidemiological trends of attempted suicide and self-inflicted injury is a very important step towards developing effective strategies to prevent suicide and attempted suicide