Optimizing the strain engineering process for industrial-scale production of bio-based molecules.

Biomanufacturing could contribute as much as ${\$}$30 trillion to the global economy by 2030. However, the success of the growing bioeconomy depends on our ability to manufacture high-performing strains in a time- and cost-effective manner. The Design-Build-Test-Learn (DBTL) framework has proven to be an effective strain engineering approach. Significant improvements have been made in genome engineering, genotyping, and phenotyping throughput over the last couple of decades that have greatly accelerated the DBTL cycles. However, to achieve a radical reduction in strain development time and cost, we need to look at the strain engineering process through a lens of optimizing the whole cycle, as opposed to simply increasing throughput at each stage. We propose an approach that integrates all 4 stages of the DBTL cycle and takes advantage of the advances in computational design, high-throughput genome engineering, and phenotyping methods, as well as machine learning tools for making predictions about strain scale-up performance. In this perspective, we discuss the challenges of industrial strain engineering, outline the best approaches to overcoming these challenges, and showcase examples of successful strain engineering projects for production of heterologous proteins, amino acids, and small molecules, as well as improving tolerance, fitness, and de-risking the scale-up of industrial strains.

Testing Refrigeration Trucks for the Emergency Evacuation of Companion Animals.

The purpose of this study was to quantify the changes in oxygen (O2) and carbon dioxide (CO2) in sealed refrigerator trucks scheduled to be used for transporting companion animals (dogs and cats) during an emergency evacuation. A total of 122 nonhuman animals (total weight = 1,248 kg) housed in individual crates were loaded into a 16-m refrigeration truck. Once they were loaded, the doors were closed and the percentages of O2 and CO2 were measured every 5 min by O2 and CO2 analyzers, and they were used to quantify the changes in gas pressure in the sealed truck. CO2 had a much higher-than-predicted increase, and O2 had a higher-than-predicted decrease. These 2 pressures in combination with the functionality of the respiratory system will limit the animal's ability to load O2, and over time, they will initiate asphyxia or suffocation. Over time, the partial pressure of oxygen (PO2) in the sealed truck will decrease, causing hypoxia, and the partial pressure of carbon dioxide (PCO2) will increase, causing hypercapnia.

Leadership in systems, organizations and cultures.

This article reviews the complex nature of health systems, organizations and cultures, and suggests that a nuanced understanding of these is important to thinking about leadership and change.

Relationship of clinical course of illness variables to medical comorbidities in 900 adult outpatients with bipolar disorder.

BACKGROUND: Medical illnesses are highly comorbid with bipolar disorder, but their relationship to illness characteristics has not been previously delineated. METHODS: The incidence of 34 medical conditions and 6 poor prognosis factors (PPFs) was derived from answers to a questionnaire in over 900 outpatients with bipolar disorder who gave informed consent. The relationship of PPFs to the number of medical comorbidities was examined by Mann-Whitney U, Pearson r, and logistic regression. RESULTS: When examined individually, each of the 6 PPFs associated with an adverse course of bipolar disorder was significantly related to the number of medical comorbidities patients had. When age, gender, and independence of their relationships to each other were controlled for via regression, 3 of the PPFs remained significant (anxiety disorder, childhood abuse, and age of onset), and having 20 or more prior episodes was a strong trend. The number of PPFs was correlated with the number of comorbidities, although the above 3 PPFs show a similar magnitude of relationship. CONCLUSION: A history of childhood adversity, early age of onset of bipolar disorder, and an anxiety comorbidity were independently related to the number of medical comorbidities that patients experienced as adults. While the nature and mechanisms of this linkage remain to be further explored, the findings indicate the need for greater attention to and treatment of these 3 PPFs in hopes of ameliorating both the adverse course of bipolar illness and the burden of medical comorbidities with which they are associated.

More medical comorbidities in patients with bipolar disorder from the United States than from the Netherlands and Germany.

Medical comorbidities are common in patients with bipolar (BP) disorder but have not been previously examined for differences between United States and Europe. More than 900 outpatients with BP I and BP II disorder (mean age, 41 years) filled out a questionnaire including the occurrence of 30 listed medical conditions. The patients from the United States were from Los Angeles, Dallas, Cincinnati, and Bethesda, whereas those from Europe were from Utrecht, Freiberg, and Munich. Those from the United States had a significantly higher incidence of obesity and nine other medical comorbidities than those from Europe, who had only more cases of hyperthyroidism. The burden of medical comorbidities in patients with BP disorder from the United States seems higher than in patients from Europe. Given the adversities, morbidity, and early mortality associated with these conditions and their interaction with the morbidity and lethality of BP disorder itself, greater efforts at treatment and prevention of these medical comorbidities would seem indicated.

Illness progression as a function of independent and accumulating poor prognosis factors in outpatients with bipolar disorder in the United States.

OBJECTIVE: Many patients with bipolar disorder in the United States experience a deteriorating course of illness despite naturalistic treatment in the community. We examined a variety of factors associated with this pattern of illness progression. METHOD: From 1995 to 2002, we studied 634 adult outpatients with bipolar disorder (mean age of 40 years) emanating from 4 sites in the United States. Patients gave informed consent and completed a detailed questionnaire about demographic, vulnerability, and course-of-illness factors and indicated whether their illness had shown a pattern of increasing frequency or severity of manic or depressive episodes. Fifteen factors previously linked in the literature to a poor outcome were examined for their relationship to illness progression using Kruskal-Wallis test, followed by a 2-sample Wilcoxon rank sum (Mann-Whitney) test, χ(2), and logistical regression. RESULTS: All of the putative poor prognosis factors occurred with a high incidence, and, with the exception of obesity, were significantly (P < .05) associated with illness progression. These factors included indicators of genetic and psychosocial risk and loss of social support, early onset, long delay to first treatment, anxiety and substance abuse comorbidity, rapid cycling in any year, and the occurrence of more than 20 prior episodes prior to entering the network. A greater number of factors were linearly associated with the likelihood of a progressively worsening course. CONCLUSIONS: Multiple genetic, psychosocial, and illness factors were associated with a deteriorating course of bipolar disorder from onset to study entry in adulthood. The identification of these factors provides important targets for earlier and more effective therapeutic intervention in the hope of achieving a more benign course of bipolar disorder.

More stressors prior to and during the course of bipolar illness in patients from the United States compared with the Netherlands and Germany.

Considerable data suggest that compared to some European countries, in the U.S. there are more childhood onset bipolar disorders, more adverse courses of illness, and greater treatment resistance. Psychosocial variables related to these findings have not been adequately explored. Therefore we analyzed psychosocial stressors in three time domains: childhood; the year prior to illness Onset; and the Last Episode from questionnaires in 968 outpatients (mean age 41) with bipolar I or II disorder; 676 from four sites in the U.S. and 292 from three in the Netherlands and Germany (abbreviated here as Europe). Compared to the Europeans, those from the U.S. had significantly more stressors in childhood and prior to the last episode. Stressors prior to the last episode were related to: childhood stressors; an earlier age at illness onset; anxiety and substance abuse comorbidity; lower income; both parents having an affective illness; and feeling more stigma. These data suggest a greater prevalence of adverse life events in childhood and over the course of bipolar illness in the U.S. compared to the Netherlands and Germany. Clinical, therapeutic, and public health approaches to these illness-relevant stressors require further exploration.

Role of childhood adversity in the development of medical co-morbidities associated with bipolar disorder.

OBJECTIVE: A role for childhood adversity in the development of numerous medical conditions in adults has been described in the general population, but has not been examined in patients with bipolar disorder who have multiple medical comorbidities which contribute to their premature mortality. METHODS: More than 900 outpatients (average age 41) with bipolar disorder completed questionnaires that included information about the occurrence of verbal, physical, or sexual abuse in childhood and whether their parents had a mood or substance abuse disorder, or a history of suicidality. These factors were combined to form a total childhood adversity score, which was then related to one or more of 30 medical conditions patients rated as present or absent. RESULTS: The child adversity score was significantly related to the total number of medical comorbidities a patient had (p<.001), as well as to 11 specific medical conditions that could be modeled in a logistic regression (p<.03). These included: asthma, arthritis, allergies, chronic fatigue syndrome, chronic menstrual irregularities, fibromyalgia, head injury (without loss of consciousness), hypertension, hypotension, irritable bowel syndrome, and migraine headaches. LIMITATIONS: The contribution of parental diagnosis to childhood adversity is highly inferential. CONCLUSIONS: These data link childhood adversity to the later occurrence of multiple medical conditions in adult outpatients with bipolar disorder. Recognition of these relationships and early treatment intervention may help avert a more severe course of not only bipolar disorder but also of its prominent medical comorbidities and their combined adverse effects on patients'health, wellbeing, and longevity.

Relationship of prior antidepressant exposure to long-term prospective outcome in bipolar I disorder outpatients.

OBJECTIVE: The long-term impact of prior antidepressant exposure on the subsequent course of bipolar illness remains controversial. METHOD: 139 outpatients (mean age, 42 years) with bipolar I disorder diagnosed by DSM-IV criteria had a detailed retrospective examination of their prior course of illness on the National Institute of Mental Health Life Chart Method. Number of prior antidepressant trials and total duration of antidepressant exposure were assessed. Prospective long-term response (for at least 6 months) to naturalistic treatment in the network from 1996 through 2002 was the primary outcome measure as it related to prior antidepressant exposure (and other illness variables) by logistic regression, with P < .05 used for statistical significance in this post hoc analysis. RESULTS: Greater number of antidepressant trials, but not duration of antidepressant exposure, was related to prospective nonresponse (P = .0051) whether or not antidepressants were covered by concurrent treatment with a mood stabilizer or atypical antipsychotic. Poor prospective response was also independently related to having had an anxiety disorder and 20 or more prior affective episodes. CONCLUSIONS: That the number of antidepressant trials, but not duration of antidepressant treatment, was associated with prospective nonresponse suggests that it is the repeated use of antidepressants to treat episodes of depression that is related to poor prospective response to naturalistic treatment. The direction of causality is unclear as to whether more antidepressant trials led to this increased treatment resistance or whether a difficult course of illness with more episodes and anxiety comorbidity engendered more attempts at antidepressant treatment.

Differential clinical characteristics, medication usage, and treatment response of bipolar disorder in the US versus The Netherlands and Germany.

Increased early-onset bipolar illness was seen in the US compared with the Netherlands and Germany (abbreviated here as Europe), but other clinical characteristics, medication use, and treatment response have not been systematically explored. Outpatients with bipolar disorder were treated naturalistically and followed prospectively at four sites in the US and three in Europe. Data and clinical characteristics were collected from patient questionnaires, and medication usage and good-to-excellent response to treatment for at least 6 months ascertained from daily clinician ratings on the National Institutes of Mental Health-Life Chart Method. Almost all clinical characteristics earlier associated with a poor treatment response were more prevalent in the US than in Europe, including early onset, environmental adversity, rapid cycling, more than 20 prior episodes, comorbid anxiety and substance abuse disorders, and a positive parental history for an affective disorder. Lithium was used more frequently in Europe than in the US and had a higher rate of success, whereas valproate was used more in the US, with a trend toward higher success in Europe. Antidepressants were used more in the US, but had extremely low success rates. Many other agents were deployed differently on the two continents, but success rates were consistently lower in the US than in Europe. In conclusion, clinical characteristics and patterns of medication usage and effectiveness differed markedly in the two continents suggesting the need for uncovering explanations and considering the two populations as heterogeneous in the future pharmacological studies.