Involving society in science: Reflections on meaningful and impactful stakeholder engagement in fundamental research

Open Science calls for transparent science and involvement of various stakeholders. Here are examples of and advice for meaningful stakeholder engagement. Subject Categories: Economics, Law & Politics, History & Philosophy of Science

The concepts of Open Science and Responsible Research and Innovation call for a more transparent and collaborative science, and more participation of citizens. The way to achieve this is through cooperation with different actors or “stakeholders”: individuals or organizations who can contribute to, or benefit from research, regardless of whether they are researchers themselves or not. Examples include funding agencies, citizens associations, patients, and policy makers (https://aquas.gencat.cat/web/.content/minisite/aquas/publicacions/2018/how_measure_engagement_research_saris1_aquas2018.pdf). Such cooperation is even more relevant in the current, challenging times—even apart from a global pandemic—when pseudo‐science, fake news, nihilist attitudes, and ideologies too often threaten social and technological progress enabled by science. Stakeholder engagement in research can inform and empower citizens, help render research more socially acceptable, and enable policies grounded on evidence‐based knowledge. Beyond, stakeholder engagement is also beneficial to researchers and to research itself. In a recent survey, the majority of scientists reported benefits from public engagement (Burns et al, 2021). This can include increased mutual trust and mutual learning, improved social relevance of research, and improved adoption of results and knowledge (Cottrell et al, 2014). Finally, stakeholder engagement is often regarded as an important factor to sustain public investment in the life sciences (Burns et al, 2021).

Stakeholder engagement in research can inform and empower citizens, help render research more socially acceptable and enable policies grounded on evidence‐based knowledge

Here, we discuss different levels of stakeholder engagement by way of example, presenting various activities organized by European research institutions. Based on these experiences, we propose ten reflection points that we believe should be considered by the institutions, the scientists, and the funding agencies to achieve meaningful and impactful stakeholder engagement.     

Internal state effects on behavioral shifts in freely behaving praying mantises (Tenodera sinensis)

How we interact with our environment largely depends on both the external cues presented by our surroundings and the internal state from within. Internal states are the ever-changing physiological conditions that communicate the immediate survival needs and motivate the animal to behaviorally fulfill them. Satiety level constitutes such a state, and therefore has a dynamic influence on the output behaviors of an animal. In predatory insects like the praying mantis, hunting tactics, grooming, and mating have been shown to change hierarchical organization of behaviors depending on satiety. Here, we analyze behavior sequences of freely hunting praying mantises (Tenodera sinensis) to explore potential differences in sequential patterning of behavior as a correlate of satiety. First, our data supports previous work that showed starved praying mantises were not just more often attentive to prey, but also more often attentive to further prey. This was indicated by the increased time fraction spent in attentive bouts such as prey monitoring, head turns (to track prey), translations (closing the distance to the prey), and more strike attempts. With increasing satiety, praying mantises showed reduced time in these behaviors and exhibited them primarily towards close-proximity prey. Furthermore, our data demonstrates that during states of starvation, the praying mantis exhibits a stereotyped pattern of behavior that is highly motivated by prey capture. As satiety increased, the sequenced behaviors became more variable, indicating a shift away from the necessity of prey capture to more fluid presentations of behavior assembly.     

Recovery after Work: The Role of Work Beliefs in the Unwinding Process

According to the Effort-Recovery model, mental or physical detachment from work is an important mechanism of work related recovery, as delayed recovery has been associated with range of negative health symptoms. In this paper, we examine whether recovery from work (in the form of mentally disengagement from work) is affected by the concept of ‘work ethic’, which refers to beliefs workers hold about their work and leisure and the effects of experiencing interruptions at work. Two indices of post-work recovery were utilized: problem solving pondering and psychological detachment. The study was conducted with 310 participants employed from diverse occupational sectors. Main effects of positive and negative appraisal of work interruption and beliefs were analysed using mediated and moderated regression analysis on problem-solving pondering and detachment. Weakened belief in wasted time as a partial mediator, reduced problem-solving pondering post work when interruptions were appraised as positive, and a high evaluation of leisure partially mediated problem-solving pondering when interruptions were appraised as positive. The results also showed that a high evaluation of centrality of work and leisure moderated the effect of negative appraisal of work interruption on elevated problem-solving pondering. Positive appraisal of work interruption was related to problem-solving pondering, and the strength of this association was further moderated by a strong belief in delay of gratification. In addition, employees'' positive appraisal of work interruption was related to work detachment, and the strength of this association was further moderated by strong beliefs in hard work and self-reliance. These findings are discussed in terms of their theoretical and practical implications for employees who are strongly influenced by such work beliefs.     

Effects of a Balanced Translocation between Chromosomes 1 and 11 Disrupting the DISC1 Locus on White Matter Integrity

Objective

Individuals carrying rare, but biologically informative genetic variants provide a unique opportunity to model major mental illness and inform understanding of disease mechanisms. The rarity of such variations means that their study involves small group numbers, however they are amongst the strongest known genetic risk factors for major mental illness and are likely to have large neural effects. DISC1 (Disrupted in Schizophrenia 1) is a gene containing one such risk variant, identified in a single Scottish family through its disruption by a balanced translocation of chromosomes 1 and 11; t(1;11) (q42.1;q14.3).

Method

Within the original pedigree, we examined the effects of the t(1;11) translocation on white matter integrity, measured by fractional anisotropy (FA). This included family members with (n = 7) and without (n = 13) the translocation, along with a clinical control sample of patients with psychosis (n = 34), and a group of healthy controls (n = 33).

Results

We report decreased white matter integrity in five clusters in the genu of the corpus callosum, the right inferior fronto-occipital fasciculus, acoustic radiation and fornix. Analysis of the mixed psychosis group also demonstrated decreased white matter integrity in the above regions. FA values within the corpus callosum correlated significantly with positive psychotic symptom severity.

Conclusions

We demonstrate that the t(1;11) translocation is associated with reduced white matter integrity in frontal commissural and association fibre tracts. These findings overlap with those shown in affected patients with psychosis and in DISC1 animal models and highlight the value of rare but biologically informative mutations in modeling psychosis.     

Orexin gene expression and regulation by photoperiod in the sheep hypothalamus

Hypothalamic orexin gene expression has not been reported in the ruminant. Here, we describe the localization of preproorexin mRNA in the ovine lateral hypothalamic area (LHA) and zona incerta (ZI) using in situ hybridization. The hypothalamic localization of the orexin gene expression was similar in sheep to rodent models. Since appetite in sheep is seasonally (photoperiodically) regulated, we compared the amounts of preproorexin mRNA between long- (LD) and short-day (SD) photoperiods in both freely feeding (food intake is 20% higher in LD than SD) and food-restricted sheep (50% liveweight maintenance for 11 weeks). Gene expression was higher in SDs than in LDs but was not affected by chronic food restriction. In a second study, hypothalamic orexin gene expression in castrate sheep was not affected by a 4-day fast, irrespective of gonadal steroid (estradiol) replacement, and was not affected by the gonadal steroid per se. The results demonstrate the sensitivity of orexin gene expression to photoperiod, but up-regulation occurs in SDs when the appetite is characteristically low and no sensitivity to imposed changes in food intake. This supports the concept that orexins may not have a primary role in appetite regulation and correction of negative energy balance but since the sheep breed only in SDs, their role in seasonal reproductive activation deserves further study.     

Substantially elevating the levels of αB‐crystallin in spinal motor neurons of mutant SOD1 mice does not significantly delay paralysis or attenuate mutant protein aggregation

There has been great interest in enhancing endogenous protein maintenance pathways such as the heat‐shock chaperone response, as it is postulated that enhancing clearance of misfolded proteins could have beneficial disease modifying effects in amyotrophic lateral sclerosis and other neurodegenerative disorders. In cultured cell models of mutant SOD1 aggregation, co‐expression of αB‐crystallin (αB‐crys) has been shown to inhibit the formation of detergent‐insoluble forms of mutant protein. Here, we describe the generation of a new line of transgenic mice that express αB‐crys at > 6‐fold the normal level in spinal cord, with robust increases in immunoreactivity throughout the spinal cord grey matter and, specifically, in spinal motor neurons. Surprisingly, spinal cords of mice expressing αB‐crys alone contained 20% more motor neurons per section than littermate controls. Raising αB‐crys by these levels in mice transgenic for either G93A or L126Z mutant SOD1 had no effect on the age at which paralysis developed. In the G93A mice, which showed the most robust degree of motor neuron loss, the number of these cells declined by the same proportion as in mice expressing the mutant SOD1 alone. In paralyzed bigenic mice, the levels of detergent‐insoluble, misfolded, mutant SOD1 were similar to those of mice expressing mutant SOD1 alone. These findings indicate that raising the levels of αB‐crys in spinal motor neurons by 6‐fold does not produce the therapeutic effects predicted by cell culture models of mutant SOD1 aggregation.

     

Pathway-Specific Engineered Mouse Allograft Models Functionally Recapitulate Human Serous Epithelial Ovarian Cancer

The high mortality rate from ovarian cancers can be attributed to late-stage diagnosis and lack of effective treatment. Despite enormous effort to develop better targeted therapies, platinum-based chemotherapy still remains the standard of care for ovarian cancer patients, and resistance occurs at a high rate. One of the rate limiting factors for translation of new drug discoveries into clinical treatments has been the lack of suitable preclinical cancer models with high predictive value. We previously generated genetically engineered mouse (GEM) models based on perturbation of Tp53 and Rb with or without Brca1 or Brca2 that develop serous epithelial ovarian cancer (SEOC) closely resembling the human disease on histologic and molecular levels. Here, we describe an adaptation of these GEM models to orthotopic allografts that uniformly develop tumors with short latency and are ideally suited for routine preclinical studies. Ovarian tumors deficient in Brca1 respond to treatment with cisplatin and olaparib, a PARP inhibitor, whereas Brca1-wild type tumors are non-responsive to treatment, recapitulating the relative sensitivities observed in patients. These mouse models provide the opportunity for evaluation of effective therapeutics, including prediction of differential responses in Brca1-wild type and Brca1–deficient tumors and development of relevant biomarkers.     

KniMet: a pipeline for the processing of chromatography–mass spectrometry metabolomics data

Introduction

Data processing is one of the biggest problems in metabolomics, given the high number of samples analyzed and the need of multiple software packages for each step of the processing workflow.

Objectives

Merge in the same platform the steps required for metabolomics data processing.

Methods

KniMet is a workflow for the processing of mass spectrometry-metabolomics data based on the KNIME Analytics platform.

Results

The approach includes key steps to follow in metabolomics data processing: feature filtering, missing value imputation, normalization, batch correction and annotation.

Conclusion

KniMet provides the user with a local, modular and customizable workflow for the processing of both GC–MS and LC–MS open profiling data.