Meta-analysis of the effects of anti-migraine therapeutics in the rat trigeminovascular nociception model as a tool for design optimization.

The main reasons for the low reliability of results from preclinical studies are the lack of prior sample size calculations and poor experimental design. Here, we demonstrate how the tools of meta-analysis can be implemented to tackle these issues. We conducted a systematic search to identify controlled studies testing established migraine treatments in the electrophysiological model of trigeminovascular nociception (EMTVN). Drug effects on the two outcomes, dural stimulation-evoked responses and ongoing neuronal activity were analysed separately using a three-level model with robust variance estimation. According to the meta-analysis, which included 21 experiments in rats reported in 13 studies, these drugs significantly reduced trigeminovascular nociceptive traffic, affecting both outcomes. Based on the estimated effect sizes and outcome variance, we provide guidance on sample sizes allowing to detect such effects with sufficient power in future experiments. Considering the revealed methodological features that potentially influence the results and the main source of statistical bias of the included studies, we discuss the translational potential of the EMTVN and the steps needed to improve it. We believe that the presented approach can be used for design optimization in research with other animal models and as such deserves further validation.

Worry, work, discrimination: Socioecological model of psychological distress among Central Asian immigrant women in Russia.

The Russian Federation is a major immigrant-receiving nation and hosts large immigrant populations from post-Soviet countries including Central Asia. However, there is yet little research on their health needs, and especially on mental health of immigrant women. This study uses qualitative data from 72 interviews with women from Kyrgyzstan, Tajikistan, and Uzbekistan conducted in two large cities in Central Russia, Kazan and Nizhny Novgorod, from April 2014 to February 2017. This study examines psychological distress among immigrant women and applies a gendered socioecological lens to understand its causes. We have identified intersecting factors that operate at different levels and cause distress in Central Asian immigrant women in Russia. Gendered vulnerabilities, persistent worry about their families' well-being, separation from loved ones, and limited sources of social support are key individual and interpersonal level of distress factors. Poor working and housing conditions along with economic hardships and concerns over their ability to reach the goals that guided their decisions to move to Russia reinforce experienced distress among immigrant women. Discrimination against Central Asian nationals and structural racism amplify challenges for immigrants' psychological well-being and mental health in Russia. By investigating underlying factors of psychological distress among an understudied immigrant population, this study defines configurations of Russia's risk environment and contributes to an understanding of migration as an important determinant of mental health.

Differential effects of the Piezo1 agonist Yoda1 in the trigeminovascular system: An electrophysiological and intravital microscopy study in rats.

Migraine is associated with the activation and sensitisation of the trigeminovascular system and is often accompanied by mechanical hyperalgesia and allodynia. The mechanisms of mechanotransduction during a migraine attack are yet unknown. We have proposed that the ion channel Piezo1 may be involved, since it is expressed in endothelial cells as well as in trigeminal ganglion neurons, and thus, may contribute to the activation of both the vascular and neuronal component of the trigeminovascular system. We took advantage of extracellular recordings from the trigeminocervical complex - a key relay centre in the migraine pain pathway, to directly assess the impact of the differently applied Piezo1 agonist Yoda1 on the sensory processing at the spinal level. At a low dose, Yoda1 slightly facilitated the ongoing firing of central trigeminovascular neurons, however, at a high dose, this substance contributed to the suppression of their activity. Using intravital microscopy, we have revealed that Yoda1 at high dose can also induce the dilation of meningeal arteries innervated by trigeminal afferents. Collectively, here we have identified both neuronal and vascular modulation via selective activation of mechanosensitive Piezo1 channels, which provide new evidence in favour of the Piezo1 role in migraine pathogenesis. We propose several mechanisms that may underlie the revealed effects of Yoda1.

DataSHIELD: an ethically robust solution to multiple-site individual-level data analysis.

BACKGROUND: DataSHIELD (Data Aggregation Through Anonymous Summary-statistics from Harmonised Individual levEL Databases) has been proposed to facilitate the co-analysis of individual-level data from multiple studies without physically sharing the data. In a previous paper, we investigated whether DataSHIELD could protect participant confidentiality in accordance with UK law. In this follow-up paper, we investigate whether DataSHIELD addresses a broader range of ethics-related data-sharing concerns. METHODS: Ethics-related data-sharing concerns of Institutional Review Boards, ethics experts, international research consortia and research participants were identified through a literature search and systematically examined at a multidisciplinary workshop to determine whether DataSHIELD proposes mechanisms which can address these concerns. RESULTS: DataSHIELD addresses several ethics-related data-sharing concerns related to privacy, confidentiality, and the protection of the research participant's rights while sharing data and after the data have been shared. The data remain entirely under the direct management of the study that collected them. Data processing commands are strictly supervised, and the data are queried in a protected environment. Issues related to the return of individual research results when data are shared are eliminated; the responsibility for return remains at the study of origin. CONCLUSION: DataSHIELD can provide an innovative and robust solution for addressing commonly encountered ethics-related data-sharing concerns.

Data sharing in large research consortia: experiences and recommendations from ENGAGE.

Data sharing is essential for the conduct of cutting-edge research and is increasingly required by funders concerned with maximising the scientific yield from research data collections. International research consortia are encouraged to share data intra-consortia, inter-consortia and with the wider scientific community. Little is reported regarding the factors that hinder or facilitate data sharing in these different situations. This paper provides results from a survey conducted in the European Network for Genetic and Genomic Epidemiology (ENGAGE) that collected information from its participating institutions about their data-sharing experiences. The questionnaire queried about potential hurdles to data sharing, concerns about data sharing, lessons learned and recommendations for future collaborations. Overall, the survey results reveal that data sharing functioned well in ENGAGE and highlight areas that posed the most frequent hurdles for data sharing. Further challenges arise for international data sharing beyond the consortium. These challenges are described and steps to help address these are outlined.

DataSHIELD: taking the analysis to the data, not the data to the analysis.

BACKGROUND: Research in modern biomedicine and social science requires sample sizes so large that they can often only be achieved through a pooled co-analysis of data from several studies. But the pooling of information from individuals in a central database that may be queried by researchers raises important ethico-legal questions and can be controversial. In the UK this has been highlighted by recent debate and controversy relating to the UK's proposed 'care.data' initiative, and these issues reflect important societal and professional concerns about privacy, confidentiality and intellectual property. DataSHIELD provides a novel technological solution that can circumvent some of the most basic challenges in facilitating the access of researchers and other healthcare professionals to individual-level data. METHODS: Commands are sent from a central analysis computer (AC) to several data computers (DCs) storing the data to be co-analysed. The data sets are analysed simultaneously but in parallel. The separate parallelized analyses are linked by non-disclosive summary statistics and commands transmitted back and forth between the DCs and the AC. This paper describes the technical implementation of DataSHIELD using a modified R statistical environment linked to an Opal database deployed behind the computer firewall of each DC. Analysis is controlled through a standard R environment at the AC. RESULTS: Based on this Opal/R implementation, DataSHIELD is currently used by the Healthy Obese Project and the Environmental Core Project (BioSHaRE-EU) for the federated analysis of 10 data sets across eight European countries, and this illustrates the opportunities and challenges presented by the DataSHIELD approach. CONCLUSIONS: DataSHIELD facilitates important research in settings where: (i) a co-analysis of individual-level data from several studies is scientifically necessary but governance restrictions prohibit the release or sharing of some of the required data, and/or render data access unacceptably slow; (ii) a research group (e.g. in a developing nation) is particularly vulnerable to loss of intellectual property-the researchers want to fully share the information held in their data with national and international collaborators, but do not wish to hand over the physical data themselves; and (iii) a data set is to be included in an individual-level co-analysis but the physical size of the data precludes direct transfer to a new site for analysis.