How can we measure psychological safety in mental healthcare staff? Developing questionnaire items using a nominal groups technique.

There have been growing concerns about the well-being of staff in inpatient mental health settings, with studies suggesting that they have higher burnout and greater work-related stress levels than staff in other healthcare sectors. When addressing staff well-being, psychological safety can be a useful concept. However, there is no measure of psychological safety that is suitable for use in inpatient mental health settings. Edmondson (1999) is the most commonly used measure of psychological safety, but it was designed for use in general physical healthcare settings. As inpatient mental health settings are unique environments, transferability of knowledge from physical to mental healthcare settings cannot be assumed. We sought to develop questionnaire items that capture psychological safety among healthcare staff working in acute inpatient mental healthcare settings. We used the nominal group technique, a consensus method involving rounds of discussion, idea generation, and item rating/ranking to identify priorities. Twenty-eight stakeholders participated, including 4 who had lived experience of mental health problems, 11 academics and 18 healthcare professionals (8 participants identified with more than 1 category). The study involved a workshop with three parts: (i) an overview of current research and limitations of the Edmondson (1999) measure as outlined above, (ii) discussion on what items should be retained from the Edmondson (1999) measure, and (iii) discussion on what items should be added to the Edmondson (1999) measure. Twenty-one items were generated and retained to capture psychological safety in inpatient mental health settings. These measure professionals' sense of being valued by their team and organization, feeling supported at work, feeling physically safe and protected from physical harm, and knowing they can raise concerns about risk and safety. This is the first study to generate questionnaire items suitable for measuring staff psychological safety in mental health settings. These have been generated via a consensus method to ensure stakeholders' views are reflected. Further research is needed to evaluate factor structure, internal reliability, and convergent validity.

Primate innate immune responses to bacterial and viral pathogens reveals an evolutionary trade-off between strength and specificity.

Despite their close genetic relatedness, apes and African and Asian monkeys (AAMs) differ in their susceptibility to severe bacterial and viral infections that are important causes of human disease. Such differences between humans and other primates are thought to be a result, at least in part, of interspecies differences in immune response to infection. However, because of the lack of comparative functional data across species, it remains unclear in what ways the immune systems of humans and other primates differ. Here, we report the whole-genome transcriptomic responses of ape species (human and chimpanzee) and AAMs (rhesus macaque and baboon) to bacterial and viral stimulation. We find stark differences in the responsiveness of these groups, with apes mounting a markedly stronger early transcriptional response to both viral and bacterial stimulation, altering the transcription of ∼40% more genes than AAMs. Additionally, we find that genes involved in the regulation of inflammatory and interferon responses show the most divergent early transcriptional responses across primates and that this divergence is attenuated over time. Finally, we find that relative to AAMs, apes engage a much less specific immune response to different classes of pathogens during the early hours of infection, up-regulating genes typical of anti-viral and anti-bacterial responses regardless of the nature of the stimulus. Overall, these findings suggest apes exhibit increased sensitivity to bacterial and viral immune stimulation, activating a broader array of defense molecules that may be beneficial for early pathogen killing at the potential cost of increased energy expenditure and tissue damage.

The population genomics of rhesus macaques (Macaca mulatta) based on whole-genome sequences.

Rhesus macaques (Macaca mulatta) are the most widely used nonhuman primate in biomedical research, have the largest natural geographic distribution of any nonhuman primate, and have been the focus of much evolutionary and behavioral investigation. Consequently, rhesus macaques are one of the most thoroughly studied nonhuman primate species. However, little is known about genome-wide genetic variation in this species. A detailed understanding of extant genomic variation among rhesus macaques has implications for the use of this species as a model for studies of human health and disease, as well as for evolutionary population genomics. Whole-genome sequencing analysis of 133 rhesus macaques revealed more than 43.7 million single-nucleotide variants, including thousands predicted to alter protein sequences, transcript splicing, and transcription factor binding sites. Rhesus macaques exhibit 2.5-fold higher overall nucleotide diversity and slightly elevated putative functional variation compared with humans. This functional variation in macaques provides opportunities for analyses of coding and noncoding variation, and its cellular consequences. Despite modestly higher levels of nonsynonymous variation in the macaques, the estimated distribution of fitness effects and the ratio of nonsynonymous to synonymous variants suggest that purifying selection has had stronger effects in rhesus macaques than in humans. Demographic reconstructions indicate this species has experienced a consistently large but fluctuating population size. Overall, the results presented here provide new insights into the population genomics of nonhuman primates and expand genomic information directly relevant to primate models of human disease.

Novel MHC class I full-length allele and haplotype characterization in sooty mangabeys.

Sooty mangabeys (Cercocebus atys) are natural SIV hosts and the presumed source of HIV-2 and SIVmac, which makes them a valuable model for HIV/SIV research. However, like other African primates, little is known about their major histocompatibility complex (MHC) genetics. In this study, we used Roche/454 and Illumina MiSeq deep sequencing in order to determine the MHC class I transcripts in a cohort of 165 sooty mangabeys from the Yerkes National Primate Research Center (YNPRC). We have characterized 121 functionally full-length classical (Ceat-A and Ceat-B) and non-classical (Ceat-F and Ceat-I) alleles and have also identified 22 Ceat-A/Ceat-B haplotype chromosomal combinations. We correlated these Ceat-A/Ceat-B haplotype combinations to recently described microsatellite haplotypes from the YNPRC colony. These newly identified alleles and haplotypes establish a resource for studying cellular immunity in sooty mangabeys and provide a framework for rapidly cataloging MHC class I sequences in an understudied, yet important, nonhuman primate species.

Genetic diversity of 1,845 rhesus macaques improves genetic variation interpretation and identifies disease models.

Understanding and treating human diseases require valid animal models. Leveraging the genetic diversity in rhesus macaque populations across eight primate centers in the United States, we conduct targeted-sequencing on 1845 individuals for 374 genes linked to inherited human retinal and neurodevelopmental diseases. We identify over 47,000 single nucleotide variants, a substantial proportion of which are shared with human populations. By combining rhesus and human allele frequencies with established variant prediction methods, we develop a machine learning-based score that outperforms established methods in predicting missense variant pathogenicity. Remarkably, we find a marked number of loss-of-function variants and putative deleterious variants, which may lead to the development of rhesus disease models. Through phenotyping of macaques carrying a pathogenic OPA1:p.A8S variant, we identify a genetic model of autosomal dominant optic atrophy. Finally, we present a public website housing variant and genotype data from over two thousand rhesus macaques.

Reliability of a Novel Automated Ultrasound Technology for Body Composition Assessment and Comparisons with Dual Energy X-Ray Absorptiometry.

Body composition tools vary in reliability, portability, and accessibility. The purpose of this study was to evaluate test-retest reliability of MuscleSound® (MS) and dual-energy x-ray absorptiometry (DXA) for both two compartment (region) and three compartment (tissue) models. A secondary aim was to compare body composition values produced by both devices. Fifty participants (n = 25 male, n = 25 female) aged 18-39 years completed two body composition assessments, twice in a single session. Participants arrived at the lab after a 12-hour fast. DXA required participants to lay supine for 10-15 minutes during the scanning process. Thereafter, MS was utilized to measure subcutaneous adipose tissue thickness at seven sites: chest, subscapula, triceps, axilla, suprailium, abdomen, and mid-thigh. MS automatically estimated body composition utilizing a modified Jackson-Pollock equation and the Siri equation within the software. The sequence of assessments was then repeated. Statistical analysis included paired T-tests with Pearson correlations, intraclass correlation coefficients (ICC), and least significant change (LSC). Both methods were strongly reliable (ICCMS = .997, ICCDXA-region = .999, ICCDXA-tissue = .999). MS and DXA-region body fat percentages were significantly different (mean difference (%): 2.60 ± 1.32, p < .001) but highly correlated (r = .928, p < .001). Notably, the mean difference was within DXA-region's calculated least significant change of 3.24%. MS is reliable for assessing body fat percentage in young and middle-aged adults and operators can utilize MS to collect body composition data in the field.

Co-producing principles to guide health research: an illustrative case study from an eating disorder research clinic.

BACKGROUND: There is significant value in co-produced health research, however power-imbalances within research teams can pose a barrier to people with lived experience of an illness determining the direction of research in that area. This is especially true in eating disorder research, where the inclusion of co-production approaches lags other research areas. Appealing to principles or values can serve to ground collaborative working. Despite this, there has not been any prior attempt to co-produce principles to guide the work of a research group and serve as a basis for developing future projects. METHODS: The aim of this piece of work was to co-produce a set of principles to guide the conduct of research within our lived experience led research clinic, and to offer an illustrative case for the value of this as a novel co-production methodology. A lived experience panel were recruited to our eating disorder research group. Through an iterative series of workshops with the members of our research clinic (composed of a lived experience panel, clinicians, and researchers) we developed a set of principles which we agreed were important in ensuring both the direction of our research, and the way in which we wanted to work together. RESULTS: Six key principles were developed using this process. They were that research should aim to be: 1) real world-offering a clear and concrete benefit to people with eating disorders, 2) tailored-suitable for marginalised groups and people with atypical diagnoses, 3) hopeful-ensuring that hope for recovery was centred in treatment, 4) experiential-privileging the 'voice' of people with eating disorders, 5) broad-encompassing non-standard therapeutic treatments and 6) democratic-co-produced by people with lived experience of eating disorders. CONCLUSIONS: We reflect on some of the positives as well as limitations of the process, highlighting the importance of adequate funding for longer-term co-production approaches to be taken, and issues around ensuring representation of minority groups. We hope that other health research groups will see the value in co-producing principles to guide research in their own fields, and will adapt, develop, and refine this novel methodology.

It important that when researchers are trying to understand illnesses they do this together with people who have experienced them. This can be difficult, because researchers often take over­even if everyone is meant to be working as a team. We are a group of people trying to understand eating disorders and help people who have them get better. In our group there are some people that have experienced an eating disorder, health workers and researchers.We thought it might be helpful if we could start by working out what things were most important to us as a group, and then try to stick by them. We talked a lot together to come up with a list of principles.The six principles we thought were the most important were that research should make a difference to people's lives, see people as individuals, be hopeful, make sure that people have a voice, look at things that aren't traditional therapies, and always work together as equals.There are some issues with what we did; we found it hard to get a good mix of people in our group, and we were lucky in having enough money to pay people to do what we wanted to do, which is not always true. Despite this, we still hope that other teams might look at what we have done, and see if they could build on it, or change it, so it would work for them.

Monkey hybrid stem cells develop cellular features of Huntington's disease.

BACKGROUND: Pluripotent stem cells that are capable of differentiating into different cell types and develop robust hallmark cellular features are useful tools for clarifying the impact of developmental events on neurodegenerative diseases such as Huntington's disease. Additionally, a Huntington's cell model that develops robust pathological features of Huntington's disease would be valuable for drug discovery research. RESULTS: To test this hypothesis, a pluripotent Huntington's disease monkey hybrid cell line (TrES1) was established from a tetraploid Huntington's disease monkey blastocyst generated by the fusion of transgenic Huntington's monkey skin fibroblast and a wild-type non-transgenic monkey oocyte. The TrES1 developed key Huntington's disease cellular pathological features that paralleled neural development. It expressed mutant huntingtin and stem cell markers, was capable of differentiating to neural cells, and developed teratoma in severely compromised immune deficient (SCID) mice. Interestingly, the expression of mutant htt, the accumulation of oligomeric mutant htt and the formation of intranuclear inclusions paralleled neural development in vitro , and even mutant htt was ubiquitously expressed. This suggests the development of Huntington's disease cellular features is influenced by neural developmental events. CONCLUSIONS: Huntington's disease cellular features is influenced by neural developmental events. These results are the first to demonstrate that a pluripotent stem cell line is able to mimic Huntington's disease progression that parallels neural development, which could be a useful cell model for investigating the developmental impact on Huntington's disease pathogenesis.

Designing new microsatellite markers for linkage and population genetic analyses in rhesus macaques and other nonhuman primates.

Identification of polymorphic microsatellite loci in nonhuman primates is useful for various biomedical and evolutionary studies of these species. Prior methods for identifying microsatellites in nonhuman primates are inefficient. We describe a new strategy for marker development that uses the available whole genome sequence for rhesus macaques. Fifty-four novel rhesus-derived microsatellites were genotyped in large pedigrees of rhesus monkeys. Linkage analysis was used to place 51 of these loci into the existing rhesus linkage map. In addition, we find that microsatellites identified this way are polymorphic in other Old World monkeys such as baboons. This approach to marker development is more efficient than previous methods and produces polymorphisms with known locations in the rhesus genome assembly. Finally, we propose a nomenclature system that can be used for rhesus-derived microsatellites genotyped in any species or for novel loci derived from the genome sequence of any nonhuman primate.

An initial genetic linkage map of the rhesus macaque (Macaca mulatta) genome using human microsatellite loci.

Rhesus macaques (Macaca mulatta) are the most widely used nonhuman primate species in biomedical research. To create new opportunities for genetic and genomic studies using rhesus monkeys, we constructed a genetic linkage map of the rhesus genome. This map consists of 241 microsatellite loci, all previously mapped in the human genome. These polymorphisms were genotyped in five pedigrees of rhesus monkeys totaling 865 animals. The resulting linkage map covers 2048 cM including all 20 rhesus autosomes, with average spacing between markers of 9.3 cM. Average heterozygosity among those markers is 0.73. This linkage map provides new comparative information concerning locus order and interlocus distances in humans and rhesus monkeys. The map will facilitate whole-genome linkage screens to locate quantitative trait loci (QTLs) that influence individual variation in phenotypic traits related to basic primate anatomy, physiology, and behavior, as well as QTLs relevant to risk factors for human disease.

A panel of 20 highly variable microsatellite polymorphisms in rhesus macaques (Macaca mulatta) selected for pedigree or population genetic analysis.

This paper reports 20 new microsatellite loci that are highly polymorphic in rhesus macaques (Macaca mulatta). We screened known human microsatellite loci to identify markers that are polymorphic in rhesus macaques, and then selected specific loci that show substantial levels of heterozygosity and robust, reliable amplification. The 20 loci reported here were chosen to include one highly informative microsatellite from each rhesus monkey autosomal chromosome. Fourteen of the 20 polymorphisms are tetranucleotide repeats, and all can be analyzed using standard PCR and electrophoresis procedures. These new rhesus markers have an average of 15.5 alleles per locus and average heterozygosity of 0.83. This panel of DNA polymorphisms will be useful for a variety of different genetic analyses, including pedigree testing, paternity analysis, and population genetic studies. Many of these loci are also likely to be informative in other closely related Old World monkey species.