The need for holistic, longitudinal and comparable, real-time assessment of the emotional, behavioral and societal impact of the COVID-19 pandemic across nations

As of the end of 2020, the COVID-19 pandemic has led to over 82 million verified infections and almost 1.8 million COVID-19-related deaths worldwide,1 resulting to an unprecedented public health response around the globe. The COVID-19 pandemic, together with the applied multi-level restrictive measures, has generated a unique combination of an unpredictable and stressful biomedical and socioeconomic environment (i.e., syndemic),2 introducing real-life threat, involuntary and drastic every-day life-style changes with uncertain financial and future prospects, alongside with minimized coping and stress management possibilities.3 This combination of so many different and vital stressors may lead to acute as well as long-term, direct, indirect and even transgenerational unfavourable effects on physical and mental health and functioning, which might even represent the most precarious and still unpredictable public-health-related part of the pandemic.4 Thereby, specific population groups could be at particular risk of poor health outcomes in relation to applied public health measures.4, 5 However, not every individual will experience the same level of negative impact on health and well-being during the pandemic, as several additional national, socioeconomic, environmental, behavioural, emotional and cognitive factors can moderate individual resilience and coping.6 Pandemic-related research should, thus, assess as many multidimensional risk and protective factors as possible in a longitudinal, large-scale and multi-national manner, enabling a profound and comprehensive understanding of the complex health and societal impact of the pandemic worldwide.7 Nevertheless, to date, most research findings are cross-sectional, report on small and non- representative samples from individual countries, or on specific population groups (e.g., health care workers, students, clinical populations) and usually assess only a very restricted set of outcomes and time-points. Thereby, only few studies assess coping strategies, medical history or detailed socioeconomic, demographic and environmental data. In addition, most studies leave behind linguistic differences, being available in one or at best two different languages. Such investigations of small outcome subsets within a narrow framework preclude a broader and clear understanding of the multifaceted pandemic impact on the general population and specific subgroups. Acknowledging these gaps in the existing literature, large- scale, collaborative research prospectively collecting and monitoring a broad range of real- time, multi-dimensional health-related, societal and behavioural outcome data from countries across the globe is currently explicitly needed. The Collaborative Outcomes study on Health and Functioning during Infection Times (COH- FIT) envisions to fill this gap. Based on an easy-to-access webpage (www.coh-fit.com), COH- FIT is the currently largest-scale known international collaborative study of over 200 researchers around the globe, prospectively collecting the biggest set of multi-dimensional and multi-disciplinary data from 150 high, middle, and low-income countries in over 30 languages and in three different age groups (adults, adolescents, children) of the general population, focusing also on relevant at-risk subgroups. Albeit being a cross-sectional anonymous survey on an individual level, it is a longitudinal study on a population level, as data are collected continuously since April 2020 and until the WHO declares the end of the pandemic. In addition to snowball recruitment, this project also collects information from nationally representative samples. Furthermore, COH-FIT is the first study of this scale investigating pandemic effects on health and functioning measures between family members, while it also specifically assesses a large list of behavioral and coping factors (e.g., screen time, social media usage, physical activity, social interaction, religious practices, etc.) on outcomes of interest. COH-FIT also monitors changes in public health restrictive measures to enhance data harmonization across nations and time, and to better investigate their impact on physical and mental health, while it also collects information on changes in healthcare systems functioning. The COH-FIT project was worldwide first initiated in Greece after the ethics committee approval of the School of Medicine of the Aristotle University of Thessaloniki and is officially supported by the Hellenic Psychiatric Association, European Psychiatric Association, World Association of Social Psychiatry, ECNP Network on the Prevention of Mental Disorders and Mental Health Promotion, among many other national and international scientific associations. To date, COH-FIT has already collected >115,000 participations worldwide (>8,000 in Greece), but more participants are still needed, both during the second and third wave of the pandemic, as in the future, after the pandemic has ended. Currently, the COH-FIT survey actively collects the largest sample on multifactorial data on the impact of the COVD-19 pandemic on health and functioning not only in Greece, but around the globe. The elaborated design of COH-FIT and similar studies may allow a better identification of key parameters and population groups at increased risk during the pandemic, as well as potential targets for acute and long-term prevention or intervention strategies in the current as in possible future pandemics. A profound understanding of the health and societal impact of the pandemic could facilitate an optimized governmental, social and individual health preparedness during infection times8 and the bridging of individuals', societal and systemic needs and actions through multi-level guideline development with the aim to improve mental health outcomes globally

Trading volume and volatility : intraday evidence from the Athens stock exchange

With the present paper we document some standard statistical properties and 'stylized' facts of volume and volatility of nine common shares traded in the Athens Stock Exchange (ASE) * * *. Using econometrical tools we investigate the relationship between volume and volatility attempting to find support for the Mixture of Distribution Hypothesis (MDH). Although the Granger-causality results can support a trading volume equation the well documented property of volatility clustering cannot be supported by the data. Furthermore, the trading volume seems to convey no information for the stock exchange participants. So we could cast doubt in the hypothesis proposed by Lamoureux and Lastrapes (1990).peer-reviewe

Developmental Trajectories of Early Life Stress and Trauma: A Narrative Review on Neurobiological Aspects Beyond Stress System Dysregulation

Early life stressors display a high universal prevalence and constitute a major public health problem. Prolonged psychoneurobiological alterations as sequelae of early life stress (ELS) could represent a developmental risk factor and mediate risk for disease, leading to higher physical and mental morbidity rates in later life. ELS could exert a programming effect on sensitive neuronal brain networks related to the stress response during critical periods of development and thus lead to enduring hyper- or hypo-activation of the stress system and altered glucocorticoid signaling. In addition, alterations in emotional and autonomic reactivity, circadian rhythm disruption, functional and structural changes in the brain, as well as immune and metabolic dysregulation have been lately identified as important risk factors for a chronically impaired homeostatic balance after ELS. Furthermore, human genetic background and epigenetic modifications through stress-related gene expression could interact with these alterations and explain inter-individual variation in vulnerability or resilience to stress. This narrative review presents relevant evidence from mainly human research on the ten most acknowledged neurobiological allostatic pathways exerting enduring adverse effects of ELS even decades later (hypothalamic-pituitary-adrenal axis, autonomic nervous system, immune system and inflammation, oxidative stress, cardiovascular system, gut microbiome, sleep and circadian system, genetics, epigenetics, structural, and functional brain correlates). Although most findings back a causal relation between ELS and psychobiological maladjustment in later life, the precise developmental trajectories and their temporal coincidence has not been elucidated as yet. Future studies should prospectively investigate putative mediators and their temporal sequence, while considering the potentially delayed time-frame for their phenotypical expression. Better screening strategies for ELS are needed for a better individual prevention and treatment

CIN2+ detection of the HPV DNA Array genotyping assay in comparison with the Cobas 4800 HPV test and cytology

BACKGROUND: HPV DNA Array is an E1-targeting PCR genotyping test, with capability of distinguishing 18 high-risk (16, 18, 26, 31, 33, 35, 39, 45, 51, 52, 53, 56, 58, 59, 66, 68, 73, 82) and 11 low-risk HPV types (6, 11, 40, 42, 44, 54, 67, 69, 70, 85, 97). HPV DNA Array uses multiplex PCR for E1-gene sequence amplification. The amplicons are detected and genotyped by reverse hybridization to immobilized DNA probes spotted as triplets in single 96 well-plate wells and read by AID ELISPOT reader. METHODS: Aim of the study was to evaluate the clinical performance of the assay against internationally accepted and FDA approved Cobas 4800 HPV test (Roche Diagnostics). Study population comprised of 500 cervical samples. RESULTS: HPV DNA Array demonstrated a very high sensitivity of 100% for CIN2+ and 100% for CIN3+ detection, same as Cobas 4800. HPV DNA Array showed greater sensitivity for CIN2+ detection than cytology (100% vs. 13.6%). The agreement to Cobas 4800 for HPV detection, irrespective of type, was 81.4% with κ = 0.613. The agreement for HPV 16 was 92.8% (κ = 0.929), and for HPV 18 54.2% (κ = 0.681). CONCLUSION: HPV DNA Array demonstrated good clinical performance for detection of high-grade lesions, and may be considered for usage in a screening setting

Semantic Integration of Cervical Cancer Data Repositories to Facilitate Multicenter Association Studies: The ASSIST Approach

The current work addresses the unifi cation of Electronic Health Records related to cervical cancer into a single medical knowledge source, in the context of the EU-funded ASSIST research project. The project aims to facilitate the research for cervical precancer and cancer through a system that virtually unifi es multiple patient record repositories, physically located in different medical centers/hospitals, thus, increasing fl exibility by allowing the formation of study groups “on demand” and by recycling patient records in new studies. To this end, ASSIST uses semantic technologies to translate all medical entities (such as patient examination results, history, habits, genetic profi le) and represent them in a common form, encoded in the ASSIST Cervical Cancer Ontology. The current paper presents the knowledge elicitation approach followed, towards the defi nition and representation of the disease’s medical concepts and rules that constitute the basis for the ASSIST Cervical Cancer Ontology. The proposed approach constitutes a paradigm for semantic integration of heterogeneous clinical data that may be applicable to other biomedical application domains

Genetic polymorphisms of FAS and EVER genes in a Greek population and their susceptibility to cervical cancer : a case control study

Ajuts: the present study was developed on a self-funding base, using a personal budget of Evangelia Pavlidou for the reagents used in the laboratory analysis.Background: the aim of the study was to evaluate the association of two SNPs of EVER1/2 genes' region (rs2290907, rs16970849) and the FAS-670 polymorphism with the susceptibility to precancerous lesions and cervical cancer in a Greek population. -Methods: among the 515 women who were included in the statistical analysis, 113 belong to the case group and present with precancerous lesions or cervical cancer (27 with persistent CIN1, 66 with CIN2/3 and 20 with cervical cancer) and 402 belong to the control group. The chi-squared test was used to compare the case and the control groups with an allelic and a genotype-based analysis. - Results: the results of the statistical analysis comparing the case and the control groups for all the SNPs tested were not statistically significant. Borderline significant difference (p value = 0.079) was only found by the allelic model between the control group and the CIN1/CIN2 patients' subgroup for the polymorphism rs16970849. The comparison of the other case subgroups with the control group did not show any statistically significant difference. Conclusions: None of the SNPs included in the study can be associated with statistical significance with the development of precancerous lesions or cervical cancer

T Cell Phenotype and T Cell Receptor Repertoire in Patients with Major Depressive Disorder

While a link between inflammation and the development of neuropsychiatric disorders, including major depressive disorder (MDD) is supported by a growing body of evidence, little is known about the contribution of aberrant adaptive immunity in this context. Here, we conducted in-depth characterization of T cell phenotype and T cell receptor (TCR) repertoire in MDD. For this cross- sectional case–control study, we recruited antidepressant-free patients with MDD without any somatic or psychiatric comorbidities (n = 20), who were individually matched for sex, age, body mass index, and smoking status to a non-depressed control subject (n = 20). T cell phenotype and repertoire were interrogated using a combination of flow cytometry, gene expression analysis, and next generation sequencing. T cells from MDD patients showed significantly lower surface expression of the chemokine receptors CXCR3 and CCR6, which are known to be central to T cell differentiation and trafficking. In addition, we observed a shift within the CD4+ T cell compartment characterized by a higher frequency of CD4+CD25highCD127low/− cells and higher FOXP3 mRNA expression in purified CD4+ T cells obtained from patients with MDD. Finally, flow cytometry-based TCR Vβ repertoire analysis indicated a less diverse CD4+ T cell repertoire in MDD, which was corroborated by next generation sequencing of the TCR β chain CDR3 region. Overall, these results suggest that T cell phenotype and TCR utilization are skewed on several levels in patients with MDD. Our study identifies putative cellular and molecular signatures of dysregulated adaptive immunity and reinforces the notion that T cells are a pathophysiologically relevant cell population in this disorder