Sex differences in nucleus accumbens core circuitry engaged by binge-like ethanol drinking.

Growing parity in Alcohol Use Disorder (AUD) diagnoses in men and women necessitates consideration of sex as a biological variable. In humans and rodents, the nucleus accumbens core (NAcc) regulates alcohol binge drinking, a risk factor for developing AUD. We labeled NAcc inputs with a viral retrograde tracer and quantified whole-brain c-Fos to determine the regions and NAcc inputs differentially engaged in male and female mice during binge-like ethanol drinking. We found that binge-like ethanol drinking females had 129 brain areas with greater c-Fos than males. Moreover, ethanol engaged more NAcc inputs in binge-like ethanol drinking females (as compared with males), including GABAergic and glutamatergic inputs. Relative to water controls, ethanol increased network modularity and decreased connectivity in both sexes and did so more dramatically in males. These results demonstrate that early-stage binge-like ethanol drinking engages brain regions and NAcc-inputs and alters network dynamics in a sex-specific manner.

Outcomes Related to New Persistent Opioid Use after Surgery or Trauma: A population-based Cohort Study.

OBJECTIVES: To evaluate the impact of persistent opioid use (POU) following surgery or trauma on health outcomes using linked data. SUMMARY BACKGROUND DATA: Surgery and trauma can lead to POU, characterised by continuous opioid consumption following hospital discharge. Outside the US, there is a lack of population-based studies on POU outcomes in opioid-naïve patients following these events. METHOD: We included opioid-naïve patients who were dispensed opioids after being discharged following admission for surgery or trauma to any New Zealand (NZ) hospital from 2007-2019. Differences in outcomes between individuals with and without POU were assessed between 180-360 days after discharge. The primary outcome was all-cause mortality, the secondary outcomes were all-cause and opioid-related hospitalisation, and Days Alive and Out of Hospital (DAOH). Cox and quantile multivariable regression models were used to examine the association between POU and outcomes. RESULTS: Overall, 298,928 surgical and 206,663 trauma patients were included in the final analyses, and 17,779 (5.9%) surgical and 17,867 (8.6%) trauma patients developed POU. POU was significantly associated with increased risk of all-cause mortality (surgical, aHR=6.59; 95% CI 5.82-7.46; trauma, aHR=2.77; 95% CI 2.47-3.11), all-cause hospitalisation (surgical, aHR=2.02; 95% CI 1.95-2.08; trauma, aHR=1.57; 95% CI 1.52-1.62), opioid-related hospitalisation (surgical, aHR=2.49; 95% CI 2.24-2.76; trauma, aHR=1.89; 95% CI 1.73-2.05) and reduced DAOH. CONCLUSIONS: Among opioid-naive patients who received opioids after surgery or trauma, POU was associated with worse outcomes, including increased mortality. Further investigation is warranted to understand the reasons for continued opioid use beyond 90 days and mechanisms associated with harm.

'I didn't want to go home' patient-identified modifiable risk factors associated with hospital readmission: a qualitative study.

BACKGROUND: Hospital readmissions are costly for patients, their families and healthcare systems. Identifying and addressing risk factors can reduce the number of people who experience readmission. Few studies have explored modifiable risk factors such as health beliefs from patients' perspective to explore the complexity of risk factors for readmission. This study aimed to identify modifiable readmission risk factors from the perspectives of patients who have experienced readmission and their families. METHODS: Adults (≥18 years) readmitted within 30 days of discharge to a general medical or surgical ward at a large urban hospital in New Zealand were invited to participate in a semi-structured interview to explore their readmission experience. Interviews were conducted during the readmission and were analysed using inductive thematic analysis. RESULTS: A total of 30 participants were interviewed. Six themes relating to readmission were identified: inadequate communication between health professionals and patients, misalignment between patient illness perceptions and treatment, unclear or missing information, poor health literacy, poor medication mismanagement, and health system factors. CONCLUSIONS: These findings highlight the importance of considering patient experiences, such as their expectations, illness and treatment beliefs, to reduce readmissions. Ensuring communication is patient centred and quality professional-patient relationships could reduce readmissions.

The core microbiome of cultured Pacific oyster spat is affected by age but not mortality.

The Pacific oyster is the most widely cultured shellfish worldwide, but production has been affected by mortality events, including in hatcheries that supply the seed for growers. Several pathogens cause disease in oysters, but in many cases, mortality events cannot be attributed to a single agent and appear to be multifactorial, involving environmental variables and microbial interactions. As an organism's microbiome can provide resilience against pathogens and environmental stressors, we investigated the microbiomes in cohorts of freshly settled oyster spat, some of which experienced notable mortality. Deep sequencing of 16S rRNA gene fragments did not show a significant difference among the microbiomes of cohorts experiencing different mortality levels, but revealed a characteristic core microbiome comprising 74 taxa. Irrespective of mortality, the relative abundance of taxa in the core microbiomes changed significantly as the spat aged, yet remained distinct from the microbial community in the surrounding water. The core microbiome was dominated by bacteria in the families Rhodobacteraceae, Nitrosomonadaceae, Flavobacteriaceae, Pirellulaeceae, and Saprospiraceae. Within these families, 14 taxa designated as the "Hard-Core Microbiome" were indicative of changes in the core microbiome as the spat aged. The variability in diversity and richness of the core taxa decreased with age, implying niche occupation. As well, there was exchange of microbes with surrounding water during development of the core microbiome. The shift in the core microbiome demonstrates the dynamic nature of the microbiome as oyster spat age.IMPORTANCEThe Pacific oyster (Magallana gigas, also known as Crassostrea gigas) is the most widely cultivated shellfish and is important to the economy of many coastal communities. However, high mortality of spat during the first few days following metamorphosis can affect the seed supply to oyster growers. Here, we show that the microbiome composition of recently settled oyster spat experiencing low or high mortality was not significantly different. Instead, development of the core microbiome was associated with spat aging and was partially driven by dispersal through the water. These findings imply the importance of early-stage rearing conditions for spat microbiome development in aquaculture facilities. Furthermore, shellfish growers could gain information about the developmental state of the oyster spat microbiome by assessing key taxa. Additionally, the study provides a baseline microbiome for future hypothesis testing and potential probiotic applications on developing spat.

Understanding patient demand for and use of antibiotics for upper respiratory tract infection: A qualitative application of the Necessity-Concerns Framework in Saudi Arabia.

Background: Reducing antimicrobial resistance (AMR) is a priority for public health. Inappropriate patient demand is an important driver of unnecessary antibiotic use. To develop an effective intervention to reduce inappropriate demand for antibiotics in upper respiratory tract infections (URTIs), it is important to identify patient perceptions that influence demand for, and appropriate use of antibiotics. Aim: To identify and describe the beliefs about antibiotics necessity and concerns that patients with URTIs have, in Riyadh, Saudi Arabia. Method: An exploratory qualitative approach was used. One-to-one, face-to-face or telephone semi-structured interviews were conducted with participants recruited using purposive sampling (based on age and gender) from primary healthcare centre in Riyadh, Saudi Arabia were conducted. Only adult patients who currently experience URTIs symptoms and agreed to participate were recruited. Recruitment for interviews continued until data saturation point was reached. The interview guide explored patients' necessity beliefs and concerns about antibiotics, AMR perceptions, and expectations from URTIs consultation. Interview transcripts were coded using QSR NVivo 12 using framework analysis informed by the Necessity-Concerns Framework to identify key motivations driving antibiotic requests and consultations. Results: the study interviewed 32 participants (44% were male, average age was 36.84). Results identified that the patients often relate their personal need for antibiotics when encountering an URTIs symptoms to the type, severity and duration of symptoms. Patients also linked antibiotics with quicker recovery, generally expressing few concerns about antibiotics mainly because of its short duration of use. However, some conveyed their concern about frequent administration of antibiotics and effect on the body's immune system function, which may make them more prone to infections in the future. Participants varied widely in their awareness of AMR; this was associated with many misconceptions, such as confusing AMR with antibiotics efficacy and tolerance. Interestingly, the interplay between necessity beliefs and concerns was observed to influence the decision to start and stop antibiotic, potentially impacting inappropriate antibiotic demand and unnecessary use. Conclusion: This study highlighted important beliefs and misconceptions about antibiotics and AMR in Saudi population which can be targeted in future interventions to reduce inappropriate demand for antibiotics and optimise appropriate usage.

Development and validation of the BMQ-AIR©: a screening tool for assessing patients' treatment beliefs about switching to anti-inflammatory reliever (AIR) therapy.

Introduction: Despite anti-inflammatory reliever (AIR) therapy now being the preferred treatment choice across all severities of asthma, many patients are still "attached" to their short-acting beta2-agonist (SABA) reliever, believing this to be the best way to control their asthma. To encourage individuals to switch to AIR, it is important to first identify the beliefs that patients hold about AIR. Objective: The aim of this paper was to describe the initial development and validation of the BMQ-AIR©, a six-item screening tool which assesses and identifies patients' treatment beliefs about switching to AIR therapy. Methods: Statements were identified from the primary literature that assessed patients' perceptions of AIR therapy and adapted from the Beliefs about Medicines Questionnaire (BMQ). Internal reliability was examined using Cronbach's alpha coefficient. Construct validity was evaluated by comparing scores on BMQ-AIR© with a validated measure of medication adherence and SABA beliefs. Results: A total of 446 participants completed the online survey. The BMQ-AIR© contained two subscales with three items each. Both the Necessity and Concerns subscales demonstrated good internal reliability, with Cronbach's α-values of 0.70 and 0.69, respectively. Both subscales were negatively correlated with self-report inhaled corticosteroid adherence (Necessity: r = -0.28, p < 0.0001; Concerns: r = -0.28, p < 0.0001) and positively correlated with SRQ scores (Necessity: r = 0.51, p < 0.0001; Concerns: r = 0.44, p < 0.0001). Conclusion: Preliminary findings indicate that BMQ-AIR© demonstrates satisfactory reliability and validity. BMQ-AIR© is a promising tool that may help tailor interventions to an individual's specific beliefs and barriers to switching to better support individuals in stopping SABA and initiating AIR therapy.

Incidence and risk factors of new persistent opioid use after surgery and trauma: A systematic review.

BACKGROUND: Persistent opioid use (POU) can occur with opioid use after surgery or trauma. Current systematic reviews include patients with previous exposure to opioids, meaning their findings may not be relevant to patients who are opioid naïve (i.e. Most recent exposure was from surgery or trauma). The aim of this review was to synthesise narratively the evidence relating to the incidence of, and risk factors for POU in opioid-naïve surgical or trauma patients. METHOD: Structured searches of Embase, Medline, CINAHL, Web of Science, and Scopus were conducted, with final search performed on the 17th of July 2023. Searches were limited to human participants to identify studies that assessed POU following hospital admission due to surgery or trauma. Search terms relating to 'opioid', 'analgesics', 'surgery', 'injury', 'trauma' and 'opioid-related disorder' were combined. The Newcastle-Ottawa Scale for cohort studies was used to assess the risk of bias for studies. RESULTS: In total, 22 studies (20 surgical and two trauma) were included in the analysis. Of these, 20 studies were conducted in the United States (US). The incidence of POU for surgical patients 18 and over ranged between 3.9% to 14.0%, and for those under 18, the incidence was 2.0%. In trauma studies, the incidence was 8.1% to 10.5% among patients 18 and over. Significant risk factors identified across surgical and trauma studies in opioid-naïve patients were: higher comorbidity burden, having pre-existing mental health or chronic pain disorders, increased length of hospital stay during the surgery/trauma event, or increased doses of opioid exposure after the surgical or trauma event. Significant heterogeneity of study design precluded meta-analysis. CONCLUSION: The quality of the studies was generally of good quality; however, most studies were of US origin and used medico-administrative data. Several risk factors for POU were consistently and independently associated with increased odds of POU, primarily for surgical patients. Awareness of these risk factors may help prescribers recognise the risk of POU after surgery or trauma, when considering continuing opioids after hospitalisation. The review found gaps in the literature on trauma patients, which represents an opportunity for future research. TRIAL REGISTRATION: PROSPERO registration: CRD42023397186.

Persistent opioid use after hospital admission due to trauma: a population-based cohort study.

ABSTRACT: Persistent opioid use (POU) is a common marker of harm related to opioid use after trauma. This study determined the incidence and risk factors for POU after hospitalisation due to trauma in New Zealand, among opioid-naïve patients. This was a population-based, retrospective cohort study, using linked data, involving all trauma patients of any age admitted to all NZ hospitals between 2007 and 2019. We included all patients who received opioids after discharge and were considered opioid naïve, defined as not having received opioids or not having a prior diagnosis of opioid-use disorder up to 365 days preceding the discharge date. The primary outcome was the incidence of POU defined as opioid use after discharge between 91 and 365 days. We used a multivariable logistic regression to identify independent risk factors for POU. A total of 177,200 patients were included in this study. Of these, 15.3% (n = 27,060) developed POU based on criteria used for the primary analysis, with sensitivity analyses showing POU incidence ranging from 14.3% to 0.8%. The opioid exposure risk factors associated with POU included switching between different opioids (adjusted odds ratio [aOR] 2.62; 95% confidence interval [CI] 2.51-2.73), prescribed multiple opioids (vs codeine, aOR 1.44; 95% CI 1.37-1.53), slow-release opioid formulations (aOR 1.32; 95% CI 1.26-1.39), and dispensed higher total doses of on the initial discharge prescription (aOR 1.26; 95% CI 1.20-1.33). Overall, 1 in 7 opioid-naïve patients who were exposed to opioids after trauma developed POU. Our findings highlight clinicians should be aware of these factors when continuing opioids on discharge.

An amplicon panel for high-throughput and low-cost genotyping of Pacific oyster.

Maintaining genetic diversity in cultured shellfish can be challenging due to high variance in individual reproductive success, founder effects, and rapid genetic drift, but is important to retain adaptive potential and avoid inbreeding depression. To support broodstock management and selective breeding in cultured Pacific oysters (Crassostrea (Magallana) gigas), we developed an amplicon panel targeting 592 genomic regions and SNP variants with an average of 50 amplicons per chromosome. Target SNPs were selected based on elevated observed heterozygosity or differentiation in Pacific oyster populations in British Columbia, Canada. The use of the panel for parentage applications was evaluated using multiple generations of oysters from a breeding program on Vancouver Island, Canada (n = 181) and families selected for Ostreid herpesvirus-1 resistance from the Molluscan Broodstock Program in Oregon, USA (n = 136). Population characterization was evaluated using wild, naturalized, farmed, or hatchery oysters sampled throughout the Northern Hemisphere (n = 189). Technical replicates showed high genotype concordance (97.5%; n = 68 replicates). Parentage analysis found suspected pedigree and sample handling errors, demonstrating the panel's value for quality control in breeding programs. Suspected null alleles were identified and found to be largely population dependent, suggesting population-specific variation impacting target amplification. Null alleles were identified using existing data without the need for pedigree information, and once they were removed, assignment rates increased to 93.0 and 86.0% of possible assignments in the two breeding program datasets. A pipeline for analyzing the amplicon sequence data from sequencer output, amplitools, is also provided.

Rate and predictors of postoperative opioid use and high opioid exposure after surgery in New Zealand: a retrospective study.

BACKGROUND: Although excessive opioid use is a significant global health issue, there is a lack of literature on the prescribing patterns for postoperative opioid use and exposure after discharge among surgical patients. This study aimed to examine the rate and predictors of opioid dispensing and high opioid exposure after hospital discharge from surgery in New Zealand (NZ) between January 2007 to December 2019. METHODS: This is a retrospective population-based cohort study inclusive of all ages and surgical specialties. Data were obtained from the NZ Ministry of Health's national health databases. RESULTS: 1 781 059 patients were included in the study and 20.9% (n = 371 882) of surgical patients received opioids within 7 days after hospital discharge. From those who were dispensed with opioids after hospital discharge, 36.6% (n = 134 646) had high opioid exposure. Orthopaedic surgery (AOR 6.97; 95% CI 6.82-7.13) and history of opioid use (AOR 3.18; 95% CI 2.86-3.53) increased the odds of postoperative opioid dispensing and high opioid exposure respectively. Severe multi-morbidity burden (AOR 0.76; 95% CI 0.73-0.78) and alcohol misuse (AOR 0.84; 95% CI 0.77-0.93) lowered the odds of postoperative opioid dispensing and high opioid exposure respectively. CONCLUSIONS: Our findings suggest a concerning rate of high opioid exposure among surgical patients after discharge. The predictors for postoperative opioid dispensing and high opioid exposure identified in our study provide insight into opioid prescribing patterns in NZ and inform future postoperative pain management.

Investigating Machine Learning Techniques for Predicting Risk of Asthma Exacerbations: A Systematic Review.

Asthma, a common chronic respiratory disease among children and adults, affects more than 200 million people worldwide and causes about 450,000 deaths each year. Machine learning is increasingly applied in healthcare to assist health practitioners in decision-making. In asthma management, machine learning excels in performing well-defined tasks, such as diagnosis, prediction, medication, and management. However, there remain uncertainties about how machine learning can be applied to predict asthma exacerbation. This study aimed to systematically review recent applications of machine learning techniques in predicting the risk of asthma attacks to assist asthma control and management. A total of 860 studies were initially identified from five databases. After the screening and full-text review, 20 studies were selected for inclusion in this review. The review considered recent studies published from January 2010 to February 2023. The 20 studies used machine learning techniques to support future asthma risk prediction by using various data sources such as clinical, medical, biological, and socio-demographic data sources, as well as environmental and meteorological data. While some studies considered prediction as a category, other studies predicted the probability of exacerbation. Only a group of studies applied prediction windows. The paper proposes a conceptual model to summarise how machine learning and available data sources can be leveraged to produce effective models for the early detection of asthma attacks. The review also generated a list of data sources that other researchers may use in similar work. Furthermore, we present opportunities for further research and the limitations of the preceding studies.

DIGIPREDICT: physiological, behavioural and environmental predictors of asthma attacks-a prospective observational study using digital markers and artificial intelligence-study protocol.

INTRODUCTION: Asthma attacks are a leading cause of morbidity and mortality but are preventable in most if detected and treated promptly. However, the changes that occur physiologically and behaviourally in the days and weeks preceding an attack are not always recognised, highlighting a potential role for technology. The aim of this study 'DIGIPREDICT' is to identify early digital markers of asthma attacks using sensors embedded in smart devices including watches and inhalers, and leverage health and environmental datasets and artificial intelligence, to develop a risk prediction model to provide an early, personalised warning of asthma attacks. METHODS AND ANALYSIS: A prospective sample of 300 people, 12 years or older, with a history of a moderate or severe asthma attack in the last 12 months will be recruited in New Zealand. Each participant will be given a smart watch (to assess physiological measures such as heart and respiratory rate), peak flow meter, smart inhaler (to assess adherence and inhalation) and a cough monitoring application to use regularly over 6 months with fortnightly questionnaires on asthma control and well-being. Data on sociodemographics, asthma control, lung function, dietary intake, medical history and technology acceptance will be collected at baseline and at 6 months. Asthma attacks will be measured by self-report and confirmed with clinical records. The collected data, along with environmental data on weather and air quality, will be analysed using machine learning to develop a risk prediction model for asthma attacks. ETHICS AND DISSEMINATION: Ethical approval has been obtained from the New Zealand Health and Disability Ethics Committee (2023 FULL 13541). Enrolment began in August 2023. Results will be presented at local, national and international meetings, including dissemination via community groups, and submission for publication to peer-reviewed journals. TRIAL REGISTRATION NUMBER: Australian New Zealand Clinical Trials Registry ACTRN12623000764639; Australian New Zealand Clinical Trials Registry.

An Exploration of the Goodness of Fit of Web-Based Tools for Maori: Qualitative Study Using Interviews and Focus Groups.

BACKGROUND: Indigenous communities often have poorer health outcomes and services under traditional models of care. In New Zealand, this holds true for Maori people who are tangata whenua (the indigenous people). Several barriers exist that decrease the likelihood of indigenous communities often have poorer health outcomes and poor service fit under traditional models of care, including access issues, systemic and provider racism, and a lack of culturally safe and responsive services. Web-based interventions (WBIs) have been shown to be effective in supporting mental health and well-being and can overcome some of these barriers. Despite the large number of WBIs developed, more investigation is needed to know how well WBIs fit with an indigenous worldview and how they meet the needs of indigenous communities so that a digitally based future does not drive social and health inequities. OBJECTIVE: This study aims to explore the goodness-of-fit of WBIs of Maori individuals, the indigenous people of Aotearoa/New Zealand. METHODS: We used interviews (n=3) and focus groups (n=5) with 30 Maori participants to explore their views about WBIs. Interviews were analyzed using reflexive thematic analysis by members of the research team. RESULTS: Overall, there was a perception that the design of WBIs did not align with the Maori worldview, which centers around people, relationships, spirituality, and holistic views of well-being. A total of 4 key themes and several subthemes emerged, indicating that WBIs were generally considered a poor fit for Maori. Specifically, the themes were as follows: (1) WBIs are disconnected from the core values of te ao Maori (the Maori worldview), (2) WBIs could be helpful in the right context, (3) there are significant barriers that may make it harder for Maori to use WBIs than other groups, and (4) ways to improve WBIs to help engagement with Maori. CONCLUSIONS: While WBIs are often considered a way to reduce barriers to care, they may not meet the needs of Maori when used as a stand-alone intervention. If WBIs are continued to be offered, developers and researchers need to consider how to develop WBIs that are responsive and engaging to the needs of indigenous communities rather than driving inequities. Ideally, WBIs should be developed by the people they are intended for to fit with those populations' world views.

Maternal diabetes and risk of attention-deficit/hyperactivity disorder in offspring in a multinational cohort of 3.6 million mother-child pairs.

Previous studies report an association between maternal diabetes mellitus (MDM) and attention-deficit/hyperactivity disorder (ADHD), often overlooking unmeasured confounders such as shared genetics and environmental factors. We therefore conducted a multinational cohort study with linked mother-child pairs data in Hong Kong, New Zealand, Taiwan, Finland, Iceland, Norway and Sweden to evaluate associations between different MDM (any MDM, gestational diabetes mellitus (GDM) and pregestational diabetes mellitus (PGDM)) and ADHD using Cox proportional hazards regression. We included over 3.6 million mother-child pairs between 2001 and 2014 with follow-up until 2020. Children who were born to mothers with any type of diabetes during pregnancy had a higher risk of ADHD than unexposed children (pooled hazard ratio (HR) = 1.16, 95% confidence interval (CI) = 1.08-1.24). Higher risks of ADHD were also observed for both GDM (pooled HR = 1.10, 95% CI = 1.04-1.17) and PGDM (pooled HR = 1.39, 95% CI = 1.25-1.55). However, siblings with discordant exposure to GDM in pregnancy had similar risks of ADHD (pooled HR = 1.05, 95% CI = 0.94-1.17), suggesting potential confounding by unmeasured, shared familial factors. Our findings indicate that there is a small-to-moderate association between MDM and ADHD, whereas the association between GDM and ADHD is unlikely to be causal. This finding contrast with previous studies, which reported substantially higher risk estimates, and underscores the need to reevaluate the precise roles of hyperglycemia and genetic factors in the relationship between MDM and ADHD.

Using interRAI Assessment for Research: Developing a National Research Agenda in Aotearoa New Zealand.

interRAI provides a suite of standardized, validated instruments used to assess health and psychosocial well-being, and to inform person-centered care planning. Data obtained from these standardized tools can also be used at a population level for research and to inform policy, and interRAI is currently used in more than 40 countries globally. We present a brief overview of the use of interRAI internationally within research and policy settings, and then introduce how interRAI is used within the universal public health system in Aotearoa New Zealand (NZ), including considerations relating to Maori, the Indigenous people of NZ. In NZ, improvement in interRAI data utilization for research purposes was called for from aged care, health providers, and researchers, to better use these data for quality improvement and health advancement for New Zealanders. A national research network has been established, providing a medium for researchers to form relationships and collaborate on interRAI research with a goal of translating routinely collected interRAI data to improve clinical care, patient experience, service development, and quality improvement. In 2023, the network members met (hybrid: in-person and online) and identified research priorities. These were collated and developed into a national interRAI research agenda by the NZ interRAI Research Network Working Group. Research priorities included reviewing the interRAI assessment processes, improving methods for data linkage to national data sets, exploring how Indigenous Data Sovereignty can be upheld, as well as a variety of clinically focused research topics. Implications for Practice, Policy, and Research: This appears to be the first time national interRAI research priorities have been formally identified. Priorities identified have the potential to inform quality and clinical improvement activities and are likely of international relevance. The methodology described to cocreate the research priorities will also be of wider significance for those looking to do so in other countries.

Comparison of the function of two novel human dopamine D2 receptor variants identifies a likely mechanism for their pathogenicity.

Two recently discovered DRD2 mutations, c.634A > T, p.Ile212Phe and c.1121T > G, p.Met374Arg, cause hyperkinetic movement disorders that have overlapping features but apparently differ in severity. The two known carriers of the Met374Arg variant had early childhood disease onset and more severe motor, cognitive, and neuropsychiatric deficits than any known carriers of the Ile212Phe variant, whose symptoms were first apparent in adolescence. Here, we evaluated if differences in the function of the two variants in cultured cells could explain differing pathogenicity. Both variants were expressed less abundantly than the wild type receptor and exhibited loss of agonist-induced arrestin binding, but differences in expression and arrestin binding between the variants were minor. Basal and agonist-induced activation of heterotrimeric Gi/o/z proteins, however, showed clear differences; agonists were generally more potent at Met374Arg than at the Ile212Phe or wild type variants. Furthermore, all Gα subtypes tested were constitutively activated more by Met374Arg than by Ile212Phe. Met374Arg produced greater constitutive inhibition of cyclic AMP accumulation than Ile212Phe or the wild type D2 receptor. Met374Arg and Ile212Phe were more sensitive to thermal inactivation than the wild type D2 receptor, as reported for other constitutively active receptors, but Ile212Phe was affected more than Met374Arg. Additional pharmacological characterization suggested that the mutations differentially affect the shape of the agonist binding pocket and the potency of dopamine, norepinephrine, and tyramine. Molecular dynamics simulations provided a structural rationale for enhanced constitutive activation and agonist potency. Enhanced constitutive and agonist-induced G protein-mediated signaling likely contributes to the pathogenicity of these novel variants.

Engaging Alkenes in Metallaphotoredox: A Triple Catalytic, Radical Sorting Approach to Olefin-Alcohol Cross-Coupling.

Metallaphotoredox cross-coupling is a well-established strategy for generating clinically privileged aliphatic scaffolds via single-electron reactivity. Correspondingly, expanding metallaphotoredox to encompass new C(sp3)-coupling partners could provide entry to a novel, medicinally relevant chemical space. In particular, alkenes are abundant, bench-stable, and capable of versatile C(sp3)-radical reactivity via metal-hydride hydrogen atom transfer (MHAT), although metallaphotoredox methodologies invoking this strategy remain underdeveloped. Importantly, merging MHAT activation with metallaphotoredox could enable the cross-coupling of olefins with feedstock partners such as alcohols, which undergo facile open-shell activation via photocatalysis. Herein, we report the first C(sp3)-C(sp3) coupling of MHAT-activated alkenes with alcohols by performing deoxygenative hydroalkylation via triple cocatalysis. Through synergistic Ir photoredox, Mn MHAT, and Ni radical sorting pathways, this branch-selective protocol pairs diverse olefins and methanol or primary alcohols with remarkable functional group tolerance to enable the rapid construction of complex aliphatic frameworks.

Persistent Opioid Use After Hospital Admission From Surgery in New Zealand: A Population-Based Study.

BACKGROUND: Persistent opioid use (POU) is common after surgery and is associated with an increased risk of mortality and morbidity. There have been no population-based studies exploring POU in opioid-naïve surgical patients in New Zealand (NZ). This study aimed to determine the incidence and risk factors for POU in opioid-naïve patients undergoing surgery in all NZ hospitals. METHOD: We included all opioid-naïve patients who underwent surgery without a concomitant trauma diagnosis and received opioids after discharge from any NZ hospital between January 2007 and December 2019. Patients were considered opioid naïve if no opioids had been dispensed to them or if they did not have a prior diagnosis of an opioid-use disorder up to 365 days preceding the index date. The primary outcome was the incidence of POU, defined a priori as opioid use after discharge between 91 and 365 days. We used a multivariable logistic regression to identify risk factors for POU. RESULTS: We identified 1789,407 patients undergoing surgery with no concomitant diagnosis of trauma; 377,144 (21.1%) were dispensed opioids and 260,726 patients were eligible and included in the analysis. Of those included in the final sample, 23,656 (9.1%; 95% confidence interval [CI], 9.0%-9.2%) developed POU. Risk factors related to how opioids were prescribed included: changing to different opioid(s) after discharge (adjusted odds ratio [aOR], 3.21; 95% CI, 3.04-3.38), receiving multiple opioids on discharge (aOR, 1.37; 95% CI, 1.29-1.45), and higher total oral morphine equivalents (>400 mg) (aOR, 1.23; 95% CI, 1.23-1.45). Conversely, patients who were coprescribed nonopioid analgesics on discharge had lower odds of POU (aOR, 0.91; 95% CI, 0.87-0.95). Only small differences were observed between different ethnicities. Other risk factors associated with increased risk of POU included undergoing neurosurgery (aOR, 2.02; 95% CI, 1.83-2.24), higher comorbidity burden (aOR, 1.90; 95% CI, 1.75-2.07), preoperative nonopioid analgesic use (aOR, 1.65; 95% CI, 1.60-1.71), smoking (aOR, 1.44; 95% CI, 1.35-1.54), and preoperative hypnotics use (aOR, 1.35; 95% CI, 1.28-1.42). CONCLUSIONS: Approximately 1 in 11 opioid-naïve patients who were dispensed opioids on surgical discharge, developed POU. Potentially modifiable risk factors for POU, related to how opioids were prescribed included changing opioids after discharge, receiving multiple opioids, and higher total dose of opioids given on discharge. Clinicians should discuss the possibility of developing POU with patients before and after surgery and consider potentially modifiable risk factors for POU when prescribing analgesia on discharge after surgery.

The prokaryotic and eukaryotic microbiome of Pacific oyster spat is shaped by ocean warming but not acidification.

Pacific oysters (Magallana gigas, a.k.a. Crassostrea gigas), the most widely farmed oysters, are under threat from climate change and emerging pathogens. In part, their resilience may be affected by their microbiome, which, in turn, may be influenced by ocean warming and acidification. To understand these impacts, we exposed early-development Pacific oyster spat to different temperatures (18°C and 24°C) and pCO2 levels (800, 1,600, and 2,800 µatm) in a fully crossed design for 3 weeks. Under all conditions, the microbiome changed over time, with a large decrease in the relative abundance of potentially pathogenic ciliates (Uronema marinum) in all treatments with time. The microbiome composition differed significantly with temperature, but not acidification, indicating that Pacific oyster spat microbiomes can be altered by ocean warming but is resilient to ocean acidification in our experiments. Microbial taxa differed in relative abundance with temperature, implying different adaptive strategies and ecological specializations among microorganisms. Additionally, a small proportion (~0.2% of the total taxa) of the relatively abundant microbial taxa were core constituents (>50% occurrence among samples) across different temperatures, pCO2 levels, or time. Some taxa, including A4b bacteria and members of the family Saprospiraceae in the phyla Chloroflexi (syn. Chloroflexota) and Bacteroidetes (syn. Bacteroidota), respectively, as well as protists in the genera Labyrinthula and Aplanochytrium in the class Labyrinthulomycetes, and Pseudoperkinsus tapetis in the class Ichthyosporea were core constituents across temperatures, pCO2 levels, and time, suggesting that they play an important, albeit unknown, role in maintaining the structural and functional stability of the Pacific oyster spat microbiome in response to ocean warming and acidification. These findings highlight the flexibility of the spat microbiome to environmental changes.IMPORTANCEPacific oysters are the most economically important and widely farmed species of oyster, and their production depends on healthy oyster spat. In turn, spat health and productivity are affected by the associated microbiota; yet, studies have not scrutinized the effects of temperature and pCO2 on the prokaryotic and eukaryotic microbiomes of spat. Here, we show that both the prokaryotic and, for the first time, eukaryotic microbiome of Pacific oyster spat are surprisingly resilient to changes in acidification, but sensitive to ocean warming. The findings have potential implications for oyster survival amid climate change and underscore the need to understand temperature and pCO2 effects on the microbiome and the cascading effects on oyster health and productivity.