An assessment of the effects of neurokinin1 receptor antagonism against nausea and vomiting: Relative efficacy, sites of action and lessons for future drug development.

A broad-spectrum anti-vomiting effect of neurokinin1 receptor antagonists (NK1 RA), shown in pre-clinical animal studies, has been supported by a more limited range of clinical studies in different indications. However, this review suggests that compared with vomiting, the self-reported sensation of nausea is less affected or possibly unaffected (depending on the stimulus) by NK1 receptor antagonism, a common finding for anti-emetics. The stimulus-independent effects of NK1 RAs against vomiting are explicable by actions within the central pattern generator (ventral brainstem) and the nucleus tractus solitarius (NTS; dorsal brainstem), with additional effects on vagal afferent activity for certain stimuli (e.g., highly emetogenic chemotherapy). The central pattern generator and NTS neurones are multifunctional so the notable lack of obvious effects of NK1 RAs on other reflexes mediated by the same neurones suggests that their anti-vomiting action is dependent on the activation state of the pathway leading to vomiting. Nausea requires activation of cerebral pathways by projection of information from the NTS. Although NK1 receptors are present in cerebral nuclei implicated in nausea, and imaging studies show very high receptor occupancy at clinically used doses, the variable or limited ability of NK1 RAs to inhibit nausea emphasizes: (i) our inadequate understanding of the mechanisms of nausea; and (ii) that classification of a drug as an anti-emetic may give a false impression of efficacy against nausea vs. vomiting. We discuss the potential mechanisms for the differential efficacy of NK1 RA and the implications for future development of drugs that can effectively treat nausea, an area of unmet clinical need.

All the brain's a stage for serotonin: the forgotten story of serotonin diffusion across cell membranes.

In the conventional model of serotonin neurotransmission, serotonin released by neurons in the midbrain raphe nuclei exerts its actions on forebrain neurons by interacting with a large family of post-synaptic receptors. The actions of serotonin are terminated by active transport of serotonin back into the releasing neuron, which is mediated by the serotonin reuptake transporter (SERT). Because SERT is expressed pre-synaptically and is widely thought to be the only serotonin transporter in the forebrain, the conventional model does not include serotonin transport into post-synaptic neurons. However, a large body of evidence accumulating since the 1970s has shown that serotonin, despite having a positive charge, can cross cell membranes through a diffusion-like process. Multiple low-affinity, high-capacity, sodium-independent transporters, widely expressed in the brain, allow the carrier-mediated diffusion of serotonin into forebrain neurons. The amount of serotonin crossing cell membranes through this mechanism under physiological conditions is considerable. Most prominent textbooks fail to include this alternative method of serotonin uptake in the brain, and even most neuroscientists are unaware of it. This failure has limited our understanding of a key regulator of serotonergic neurotransmission, impeded research on the potential intracellular actions of serotonin in post-synaptic neurons and glial cells, and may have impeded our understanding of the mechanism by which antidepressant medications reduce depressive symptoms.

Strategies for calibrating models of biology.

Computational and mathematical modelling has become a valuable tool for investigating biological systems. Modelling enables prediction of how biological components interact to deliver system-level properties and extrapolation of biological system performance to contexts and experimental conditions where this is unknown. A model's value hinges on knowing that it faithfully represents the biology under the contexts of use, or clearly ascertaining otherwise and thus motivating further model refinement. These qualities are evaluated through calibration, typically formulated as identifying model parameter values that align model and biological behaviours as measured through a metric applied to both. Calibration is critical to modelling but is often underappreciated. A failure to appropriately calibrate risks unrepresentative models that generate erroneous insights. Here, we review a suite of strategies to more rigorously challenge a model's representation of a biological system. All are motivated by features of biological systems, and illustrative examples are drawn from the modelling literature. We examine the calibration of a model against distributions of biological behaviours or outcomes, not only average values. We argue for calibration even where model parameter values are experimentally ascertained. We explore how single metrics can be non-distinguishing for complex systems, with multiple-component dynamic and interaction configurations giving rise to the same metric output. Under these conditions, calibration is insufficiently constraining and the model non-identifiable: multiple solutions to the calibration problem exist. We draw an analogy to curve fitting and argue that calibrating a biological model against a single experiment or context is akin to curve fitting against a single data point. Though useful for communicating model results, we explore how metrics that quantify heavily emergent properties may not be suitable for use in calibration. Lastly, we consider the role of sensitivity and uncertainty analysis in calibration and the interpretation of model results. Our goal in this manuscript is to encourage a deeper consideration of calibration, and how to increase its capacity to either deliver faithful models or demonstrate them otherwise.

A multi-parameter approach to measurement of spontaneous myogenic contractions in human stomach: Utilization to assess potential modulators of myogenic contractions.

Electrical slow waves, generated by interstitial cells of Cajal (ICC), cause spontaneous contractions of human stomach. Software was developed to measure muscle tone and eleven different parameters defining these contractions in human stomach, displaying data as radar plots. A pilot study assessed the effects of potential modulators, selected from among compounds known to influence ICC activity; n = 4-7 each concentration tested/compound. Human distal stomach (corpus-antrum) muscle strips were suspended in tissue baths for measuring myogenic (non-neuronal) contractions in the presence of tetrodotoxin (10-6 M). Initial characterization: Contractions (amplitude 4 ± 0.4mN, frequency 3 ± 0.1 min-1, n = 49) were unchanged by ꭃ-conotoxin GVIA (10-7 M) or indomethacin (10-6 M) but abolished by nifedipine (10-4 M). Carbachol (10-7 M) increased contraction rate and amplitude; 10-6-10-5 M increased tone and caused large, irregular contractions. [Ca2+]imodulators: Ryanodine (10-5-10-4 M) increased muscle tone accompanied by inhibition of myogenic contractions. Xestospongin-C (10-6 M; IP3 channel inhibitor) had no effects. SERCA pump inhibitors, 2-APB and cycloplazonic acid (10-5-10-4 M) increased tone and myogenic contraction amplitude before abolishing contractions; thapsigargin was weakly active. CaCC blockers: MONNA and CaCCinh-A01 had little-or-no effects on tone but reduced myogenic contractions; MONNA (10-4 M) was more effective, reducing amplitude (77.8 ± 15.2%) and frequency. CaV3.1/3.2/3.3 channel block: Mibefradil reduced tone and myogenic contraction amplitude (pIC50 4.8 ± 0.9). Inward-rectifying K+-channel inhibitor: E-4031 (10-4 M) increased contraction duration (17.4 ± 5.8%). Conclusions: (1) Measurement of multiple parameters of myogenic contractions identified subtle differences between compounds, (2) only E-4031 and CaCC blockers influenced myogenic contractions, not muscle tone, (3) studies are needed with compounds with known and/or improved selectivity/potency for human targets affecting ICC functions.

COVID-19, nausea, and vomiting.

Exclusion of nausea (N) and vomiting (V) from detailed consideration as symptoms of COVID-19 is surprising as N can be an early presenting symptom. We examined the incidence of NV during infection before defining potential mechanisms. We estimate that the overall incidence of nausea (median 10.5%), although variable, is comparable with diarrhea. Poor definition of N, confusion with appetite loss, and reporting of N and/or V as a single entity may contribute to reporting variability and likely underestimation. We propose that emetic mechanisms are activated by mediators released from the intestinal epithelium by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) modulate vagal afferents projecting to the brainstem and after entry into the blood, activate the area postrema (AP) also implicated in anorexia. The receptor for spike protein of SARS-CoV-2, angiotensin 2 converting enzyme (ACE2), and transmembrane protease serine (for viral entry) is expressed in upper gastrointestinal (GI) enterocytes, ACE2 is expressed on enteroendocrine cells (EECs), and SARS-CoV-2 infects enterocytes but not EECs (studies needed with native EECs). The resultant virus-induced release of epithelial mediators due to exocytosis, inflammation, and apoptosis provides the peripheral and central emetic drives. Additionally, data from SARS-CoV-2 show an increase in plasma angiotensin II (consequent on SARS-CoV-2/ACE2 interaction), a centrally (AP) acting emetic, providing a further potential mechanism in COVID-19. Viral invasion of the dorsal brainstem is also a possibility but more likely in delayed onset symptoms. Overall, greater attention must be given to nausea as an early symptom of COVID-19 and for the insights provided into the GI effects of SARS-CoV-2.

Feasibility of holmium laser enucleation of the prostate as a 1-day surgery.

PURPOSE: To assess the safety and feasibility of HoLEP as a day-case procedure. METHODS: We reviewed all consecutive patients who underwent HoLEP at our institution between February 2017 and March 2018. During this time, we began a prospective trial aimed at same-day discharge of specific patients. Baseline and demographic variables, and past medical, past urological, intra-operative and post-operative variables in addition to disposition and readmission data were collected. Bivariate analysis was conducted to compare patients based on the day of discharge and readmission. A multivariable model using multiple-regression analysis was used to assess predictors for early discharge or readmission. RESULTS: There were 179 total HoLEP procedures that were performed during the study period. Forty-seven patients were suitable candidates for same-day discharge. Among this group, 28 (59.5%) patients were successfully discharged home on the same day. Nineteen patients (40.4%) could not be discharged. The most common cause of not to discharge patients was the degree of hematuria without continuous bladder irrigation. Pre-operative prostate volume was different between the two groups (88.4 ± 30.7 cc for discharged patients vs 69.0 ± 30.7 cc for admitted patients, p = 0.033). No other pre-operative differences were identified. There were five readmissions (17.8%) following same-day discharge. Readmitted patients had higher rates of history of urinary tract infection (80% vs 26.2%, p = 0.0304). On multivariable analysis, no statistically significant predictors were identified for early discharge or readmission. CONCLUSIONS: Same-day discharge following HoLEP is safe and feasible in well-selected patients.

Virtual screening to identify potent sepiapterin reductase inhibitors.

Sepiapterin reductase has been identified as a potential drug target for neuropathic and inflammatory pain. Virtual screening was executed against a publicly available x-ray crystal structure of sepiapterin reductase. A set of structurally diverse and potent sepiapterin reductase inhibitors was identified. This set of compounds with favorable ligand efficiency and lipophilic efficiency are tractable for further optimization. An SAR follow-up library was synthesized based on one of the virtual screening hits exploring SAR.

Pain Control and Medication Use in Children Following Closed Reduction and Percutaneous Pinning of Supracondylar Humerus Fractures: Are We Still Overprescribing Opioids?

BACKGROUND: The purpose of this 2-part study is to determine opioid prescribing patterns and characterize actual opioid use and postoperative pain control in children following discharge after closed reduction and percutaneous pinning of a supracondylar humerus fracture. METHODS: A retrospective study was conducted from 2014 to 2016 to determine pain medication prescribing patterns at a single level 1 trauma center. Next, a prospective, observational study was conducted from 2017 to 2018 to determine actual pain medication use and pain scores in the acute postoperative period. Data were collected through telephone surveys performed on postoperative day 1, 3, and 5. Pain scores were collected using a parental proxy numerical rating scale (0 to 10) and opioid use was recorded as the number of doses taken. RESULTS: From 2014 to 2016, there were 126 patients who were prescribed a mean of 47 doses of opioid medication at discharge. From 2017 to 2018, telephone questionnaires were completed in 63 patients. There was no significant difference (P>0.05) in pain ratings or opioid use by fracture type (Gartland), age, or sex. Children required a mean of 4 doses of oxycodone postoperatively. There were 18 (28%) patients who did not require any oxycodone. On average, pain scores were highest on postoperative day 1 (average 5/10) and decreased to clinically unimportant levels (<1) by postoperative day 5. Acetaminophen and ibuprofen were utilized as first-line pain medications in only 25% and 9% of patients, respectively. Two of 3 patients who used >15 oxycodone doses experienced a minor postoperative complication. CONCLUSIONS: Pediatric patients have been overprescribed opioids after operative treatment of supracondylar humerus fractures at our institution. Families who report pain scores >5 of 10 and/or persistent opioid use beyond postoperative day 5 warrant further clinical evaluation. Two of 3 pain outliers in this study experienced a minor postoperative complication. With appropriate parental counseling, satisfactory pain control can likely be achieved with acetaminophen and ibuprofen for most patients. If oxycodone is prescribed for breakthrough pain, then the authors recommend limiting to <6 doses. LEVEL OF EVIDENCE: Level IV-observational, cohort study.

Building great health care teams: enhancing interprofessional work readiness skills, knowledge and values for undergraduate health care students.

Collaborative ways of working have become increasingly important as healthcare adopts a more team-based approach to patient care. Interprofessional education (IPE) addresses some of the challenges associated with collaborative working and is increasingly offered to learners pre and post qualification. This article reports on a three-day IPE program designed to enable undergraduate health professional students develop interprofessional (IP) work readiness skills, knowledge, and values while undertaking clinical placement in a hospital setting. The curriculum built participant skills in culturally safe IP collaboration (IPC); focused on strategies for providing quality care to indigenous peoples and communities, and overtly linked IP competence to organizational mission and values. It highlighted the patient voice and displayed both the human cost of poor team communication and the comfort family members gained from watching united treating teams working with skill, compassion, and kindness. Twenty-four students from seven healthcare disciplines completed the program (N = 24). The Work Self-Efficacy Inventory (WS-Ei) and the Interprofessional Socialization and Valuing Scale (ISVS) assessed participant IP skills, knowledge, beliefs, values, attitudes, and confidence before and after program completion. A paired sample t-test showed an increase in mean scores in all responses on both scales. Results suggest that participation in the IPE program resulted in substantial shifts in knowledge, skills, and values as evidenced by changed assumptions and worldviews, enhanced knowledge and skills concerning IPC, improved understanding of other professional roles and increased confidence in managing workplace experiences.

Functional brain networks and neuroanatomy underpinning nausea severity can predict nausea susceptibility using machine learning.

KEY POINTS: Nausea is an adverse experience characterised by alterations in autonomic and cerebral function. Susceptibility to nausea is difficult to predict, but machine learning has yet to be applied to this field of study. The severity of nausea that individuals experience is related to the underlying morphology (shape) of the subcortex, namely of the amygdala, caudate and putamen; a functional brain network related to nausea severity was identified, which included the thalamus, cingulate cortices (anterior, mid- and posterior), caudate nucleus and nucleus accumbens. Sympathetic nervous system function and sympathovagal balance, by heart rate variability, was closely related to both this nausea-associated anatomical variation and the functional connectivity network, and machine learning accurately predicted susceptibility or resistance to nausea. These novel anatomical and functional brain biomarkers for nausea severity may permit objective identification of individuals susceptible to nausea, using artificial intelligence/machine learning; brain data may be useful to identify individuals more susceptible to nausea. ABSTRACT: Nausea is a highly individual and variable experience. The central processing of nausea remains poorly understood, although numerous influential factors have been proposed, including brain structure and function, as well as autonomic nervous system (ANS) activity. We investigated the role of these factors in nausea severity and if susceptibility to nausea could be predicted using machine learning. Twenty-eight healthy participants (15 males; mean age 24 years) underwent quantification of resting sympathetic and parasympathetic nervous system activity by heart rate variability. All were exposed to a 10-min motion-sickness video during fMRI. Neuroanatomical shape differences of the subcortex and functional brain networks associated with the severity of nausea were investigated. A machine learning neural network was trained to predict nausea susceptibility, or resistance, using resting ANS data and detected brain features. Increasing nausea scores positively correlated with shape variation of the left amygdala, right caudate and bilateral putamen (corrected P = 0.05). A functional brain network linked to increasing nausea severity was identified implicating the thalamus, anterior, middle and posterior cingulate cortices, caudate nucleus and nucleus accumbens (corrected P = 0.043). Both neuroanatomical differences and the functional nausea-brain network were closely related to sympathetic nervous system activity. Using these data, a machine learning model predicted susceptibility to nausea with an overall accuracy of 82.1%. Nausea severity relates to underlying subcortical morphology and a functional brain network; both measures are potential biomarkers in trials of anti-nausea therapies. The use of machine learning should be further investigated as an objective means to develop models predicting nausea susceptibility.

Pharmacological Assessment of Sepiapterin Reductase Inhibition on Tactile Response in the Rat.

There is an unmet medical need for nonopioid pain therapies in human populations; several pathways are under investigation for possible therapeutic intervention. Tetrahydrobiopterin (BH4) has received attention recently as a mediator of neuropathic pain. Recent reports have implicated sepiapterin reductase (SPR) in this pain pathway as a regulator of BH4 production. To evaluate the role of SPR inhibition on BH4 reduction, we developed analytical methods to monitor the relationship between the plasma concentration of test article and endogenous pterins and applied these in the rat spinal nerve ligation pain model. Sepiapterin is an endogenous substrate, which accumulates upon inhibition of SPR. In response to a potent inhibitor of SPR, plasma concentrations of sepiapterin increased proportionally with exposure. An indirect-effect pharmacokinetic/pharmacodynamic model was developed to describe the relationship between the plasma pharmacokinetics of test article and plasma sepiapterin levels in the rat, which was used to determine an in vivo SPR IC50 value. SPR inhibition and mechanical allodynia were assessed coordinately with pterin biomarkers in plasma and at the site of neuronal injury (i.e., dorsal root ganglion). Upon daily oral administration for 3 consecutive days, unbound plasma concentrations of test article exceeded the unbound in vivo rat SPR IC90 throughout the dose intervals, leading to a 60% reduction in BH4 in the dorsal root ganglion. Despite evidence for pharmacological modulation of the BH4 pathway, there was no significant effect on the tactile paw withdrawal threshold relative to vehicle-treated controls.

Exposure assessments in reproductive and developmental toxicity testing: An IQ-DruSafe industry survey on current practices and experiences in support of exposure-based high dose selection.

The draft ICH S5(R3) guideline includes an exposure-based endpoint as an option for selecting the high dose in developmental and reproductive toxicity (DART) studies. In 2016, IQ DruSafe conducted an anonymous survey to identify industry practices and experiences related to pharmacokinetic assessments in DART studies in order to facilitate a pragmatic data-driven approach to development of an acceptable multiple of the clinical exposure to be proposed for dose selection in the guideline. Questions in the survey were designed to explore pharmacokinetic differences in pregnant versus non-pregnant animals, and to assess exposure levels attained in the absence of maternal toxicity as well as DART outcomes in animal studies associated with those exposures. Small molecule and therapeutic proteins were analyzed separately. The key findings for small molecules were: a) differences in exposures between pregnant and non-pregnant animals were generally ≤3-fold, b) Cmax or AUC exposures ≥25-fold the clinical exposure were achieved in the absence of maternal toxicity for 31% and 23% of rat and rabbit developmental toxicity studies, respectively, and c) only 3.3% (5/153) and 1.6% (2/128) of the developmental toxicity studies were positive for malformations or embryofetal lethality in rats and rabbits, respectively, that were not observed until exposure margins were ≥25-fold.

Analysis of exposure margins in developmental toxicity studies for detection of human teratogens.

The draft Step 2 ICH S5(R3) guideline includes an exposure-based endpoint as an option for selecting the high-dose in reproductive and developmental toxicity studies. To help determine an appropriate exposure margin for embryofetal developmental toxicity testing, a retrospective analysis was undertaken to determine what threshold would have been sufficient to detect hazards to embryofetal development in rats and rabbits for 18 known and 4 presumed human teratogens. The analysis showed that using a high dose that provided at least a 6-fold exposure margin in the developmental toxicity studies would have been sufficient to detect the teratogenic hazard with relevance for humans for all these therapeutics. With regards to human risk assessment practices for developmental toxicity, the analysis showed that, after excluding lenalidomide and pomalidomide data in rats, all available AUC margins at the NOAEL for the induction of malformations or embryofetal lethality were <4-fold of the exposure at the MRHD for all 22 therapeutics. These data support the proposed general approach of increased level of concern for human risk when exposure margins of the NOAEL to the MRHD are <10-fold, reduced concern when the exposure margins are 10- to 25-fold, and minimal concern when the exposure margin is > 25-fold.

MRI - ultrasound fusion guided biopsy of the prostate: lesion volume as a predictor of cancer in patients with repeat biopsies.

INTRODUCTION: The objective was to analyze the diagnostic value of multiparametric magnetic resonance imaging (MRI) prostate lesion volume (PLV) and its correlation with the subsequent MRI-ultrasound (MRI-US) fusion biopsy results. MATERIALS AND METHODS: Between March 2014 and July 2016, 150 men underwent MRI-US fusion biopsies at our institution. All suspicious prostate lesions were graded according to the Prostate Imaging Reporting and Data System (PIRADS) and their volumes were measured. These lesions were subsequently biopsied. All data were prospectively collected and retrospectively analyzed. The PLV of all suspicious lesions was correlated with the presence of cancer on the final MRI-US fusion biopsy. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated. RESULTS: There were 206 suspicious lesions identified in 150 men. The overall cancer detection rate was 102/206 (49.5%). The mean PLV for benign lesions was 0.63 ± 0.94 cm3 versus 1.44 ± 1.76 cm3 for cancerous lesions (P < 0.01). There was a statistically significant difference between the PLV of PIRADS 5 lesions when compared to PIRADS 4, 3, and 2 lesions (P < 0.0001, < 0.0001, and 0.006, respectively). The area under the curve for volume in predicting prostate cancer (PCa) was 0.66. The optimal volume for predicting PCa was 0.26 cm3 with a sensitivity, specificity, PPV, and NPV of 80.7%, 42.7%, 41.2%, and 74.6%, respectively. CONCLUSION: PLV may serve as a useful measure to triage patients prior to MRI-US fusion biopsy and help better understand the limits of this technology for individual patients.

Lack of value of juvenile animal toxicity studies for supporting the safety of pediatric oncology phase I trials.

Toxicity studies in juvenile animals (JAS) are sometimes performed to support clinical trials in pediatric oncology patients, and there are differing conclusions on the value of JAS for pediatric drug development. This manuscript provides a review of the pediatric clinical data for 25 molecularly-targeted and 4 biologic anticancer therapeutics. Other publications that evaluated the value of JAS in pediatric drug development focus on differences in toxicity between juvenile animals and adult animals. The present paper examines pediatric-specific clinical findings to focus on dose setting in pediatric oncology patients and safety monitoring in terms of the potential value of JAS. Our assessment demonstrates that pediatric starting doses were safe for all 29 therapeutics examined in that no life-threatening toxicities occurred in the first cohort, and overall the ratio of the pediatric maximum tolerated dose (MTD) to the recommended adult dose was close to 1. In addition, the 4 serious adverse events (SAEs) that weren't detectable with standard monitoring plans for pediatric oncology trials would not have been detectable in a standard JAS. This review demonstrates that safe starting doses in pediatric oncology patients for these therapeutics could have been solely based on adult doses without any knowledge of findings in JAS.

The Mortality and Myocardial Effects of Antidepressants Are Moderated by Preexisting Cardiovascular Disease: A Meta-Analysis.

BACKGROUND: Antidepressants (ADs) are commonly prescribed medications, but their long-term health effects are debated. ADs disrupt multiple adaptive processes regulated by evolutionarily ancient biochemicals, potentially increasing mortality. However, many ADs also have anticlotting properties that can be efficacious in treating cardiovascular disease. We conducted a meta-analysis assessing the effects of ADs on all-cause mortality and cardiovascular events in general-population and cardiovascular-patient samples. METHODS: Two reviewers independently assessed articles from PubMed, EMBASE, and Google Scholar for AD-related mortality controlling for depression and other comorbidities. From these articles, we extracted information about cardiovascular events, cardiovascular risk status, and AD class. We conducted mixed-effect meta-analyses testing sample type and AD class as moderators of all-cause mortality and new cardiovascular events. RESULTS: Seventeen studies met our search criteria. Sample type consistently moderated health risks. In general-population samples, AD use increased the risks of mortality (HR = 1.33, 95% CI: 1.14-1.55) and new cardiovascular events (HR = 1.14, 95% CI: 1.08-1.21). In cardiovascular patients, AD use did not significantly affect risks. AD class also moderated mortality, but the serotonin reuptake inhibitors were not significantly different from tricyclic ADs (TCAs) (HR = 1.10, 95% CI: 0.93-1.31, p = 0.27). Only "other ADs" were differentiable from TCAs (HR = 1.35, 95% CI: 1.08-1.69). Mortality risk estimates increased when we analyzed the subset of studies controlling for premedication depression, suggesting the absence of confounding by indication. CONCLUSIONS: The results support the hypothesis that ADs are harmful in the general population but less harmful in cardiovascular patients.

Using Evolutionary Theory to Guide Mental Health Research.

Evolutionary approaches to medicine can shed light on the origins and etiology of disease. Such an approach may be especially useful in psychiatry, which frequently addresses conditions with heterogeneous presentation and unknown causes. We review several previous applications of evolutionary theory that highlight the ways in which psychiatric conditions may persist despite and because of natural selection. One lesson from the evolutionary approach is that some conditions currently classified as disorders (because they cause distress and impairment) may actually be caused by functioning adaptations operating "normally" (as designed by natural selection). Such conditions suggest an alternative illness model that may generate alternative intervention strategies. Thus, the evolutionary approach suggests that psychiatry should sometimes think differently about distress and impairment. The complexity of the human brain, including normal functioning and potential for dysfunctions, has developed over evolutionary time and has been shaped by natural selection. Understanding the evolutionary origins of psychiatric conditions is therefore a crucial component to a complete understanding of etiology.

Visually induced nausea causes characteristic changes in cerebral, autonomic and endocrine function in humans.

An integrated understanding of the physiological mechanisms involved in the genesis of nausea remains lacking. We aimed to describe the psychophysiological changes accompanying visually induced motion sickness, using a motion video, hypothesizing that differences would be evident between subjects who developed nausea in comparison to those who did not. A motion, or a control, stimulus was presented to 98 healthy subjects in a randomized crossover design. Validated questionnaires and a visual analogue scale (VAS) were used for the assessment of anxiety and nausea. Autonomic and electrogastrographic activity were measured at baseline and continuously thereafter. Plasma vasopressin and ghrelin were measured in response to the motion video. Subjects were stratified into quartiles based on VAS nausea scores, with the upper and lower quartiles considered to be nausea sensitive and resistant, respectively. Twenty-eight subjects were exposed to the motion video during functional neuroimaging. During the motion video, nausea-sensitive subjects had lower normogastria/tachygastria ratio and cardiac vagal tone but higher cardiac sympathetic index in comparison to the control video. Furthermore, nausea-sensitive subjects had decreased plasma ghrelin and demonstrated increased activity of the left anterior cingulate cortex. Nausea VAS scores correlated positively with plasma vasopressin and left inferior frontal and middle occipital gyri activity and correlated negatively with plasma ghrelin and brain activity in the right cerebellar tonsil, declive, culmen, lingual gyrus and cuneus. This study demonstrates that the subjective sensation of nausea is associated with objective changes in autonomic, endocrine and brain networks, and thus identifies potential objective biomarkers and targets for therapeutic interventions.

A novel human receptor involved in bitter tastant detection identified using Dictyostelium discoideum.

Detection of substances tasting bitter to humans occurs in diverse organisms including the social amoeba Dictyostelium discoideum. To establish a molecular mechanism for bitter tastant detection in Dictyostelium, we screened a mutant library for resistance to a commonly used bitter standard, phenylthiourea. This approach identified a G-protein-coupled receptor mutant, grlJ(-), which showed a significantly increased tolerance to phenylthiourea in growth, survival and movement. This mutant was not resistant to a structurally dissimilar potent bitter tastant, denatonium benzoate, suggesting it is not a target for at least one other bitter tastant. Analysis of the cell-signalling pathway involved in the detection of phenylthiourea showed dependence upon heterotrimeric G protein and phosphatidylinositol 3-kinase activity, suggesting that this signalling pathway is responsible for the cellular effects of phenylthiourea. This is further supported by a phenylthiourea-dependent block in the transient cAMP-induced production of phosphatidylinositol (3,4,5)-trisphosphate (PIP3) in wild-type but not grlJ(-) cells. Finally, we have identified an uncharacterized human protein γ-aminobutyric acid (GABA) type B receptor subunit 1 isoform with weak homology to GrlJ that restored grlJ(-) sensitivity to phenylthiourea in cell movement and PIP3 regulation. Our results thus identify a novel pathway for the detection of the standard bitter tastant phenylthiourea in Dictyostelium and implicate a poorly characterized human protein in phenylthiourea-dependent cell responses.