Towards Modeling Anhedonia and Its Treatment in Zebrafish

Mood disorders, especially depression, are a major cause of human disability. The loss of pleasure (anhedonia) is a common, severely debilitating symptom of clinical depression. Experimental animal models are widely used to better understand depression pathogenesis and to develop novel antidepressant therapies. In rodents, various experimental models of anhedonia have already been developed and extensively validated. Complementing rodent studies, the zebrafish (Danio rerio) is emerging as a powerful model organism to assess pathobiological mechanisms of affective disorders, including depression. Here, we critically discuss the potential of zebrafish for modeling anhedonia and studying its molecular mechanisms and translational implications. © 2021 The Author(s). Published by Oxford University Press on behalf of CINP

Cross-species Analyses of Intra-species Behavioral Differences in Mammals and Fish

Multiple species display robust behavioral variance among individuals due to different genetic, genomic, epigenetic, neuroplasticity and environmental factors. Behavioral individuality has been extensively studied in various animal models, including rodents and other mammals. Fish, such as zebrafish (Danio rerio), have recently emerged as powerful aquatic model organisms with overt individual differences in behavioral, nociceptive and other CNS traits. Here, we evaluate individual behavioral differences in mammals and fish, emphasizing the importance of cross-species analyses of intraspecies variance in experimental models of normal and pathological CNS functions. © 2019 IBROAVK laboratory is supported by the Southwest University (Chongqing, China) Zebrafish Platform construction funds. This research is supported by the Russian Science Foundation grant 19-15-00053 . KAD is supported by the Russian Foundation for Basic Research ( RFBR) grant 18-34-00996 , Fellowship of the President of Russia and Special Rector’s Fellowship for SPSU PhD Students. DBR receives the CNPq research productivity grant (305051/2018-0), and his work is also supported by the PROEX/CAPES fellowhip grant 23038.004173/2019-93 (Brazil). MP receives funding from the British Academy (UK) . BDF is supported by a CAPES Foundation studentship (Brazil). FC is supported by the Father’s Foundation and the Fast Data Sharing-2036 programs. AVK is the Chair of the International Zebrafish Neuroscience Research Consortium (ZNRC) Special 2018-2019 Task Force that coordinated this multi-laboratory collaborative project

Low‐carbon transition risks for finance

The transition to a low‐carbon economy will entail a large‐scale structural change. Some industries will have to expand their relative economic weight, while other industries, especially those directly linked to fossil fuel production and consumption, will have to decline. Such a systemic shift may have major repercussions on the stability of financial systems, via abrupt asset revaluations, defaults on debt, and the creation of bubbles in rising industries. Studies on previous industrial transitions have shed light on the financial transition risks originating from rapidly rising “sunrise” industries. In contrast, a similar conceptual understanding of risks from declining “sunset” industries is currently lacking. We substantiate this claim with a critical review of the conceptual and historical literature, which also shows that most literature either examines structural change in the real economy, or risks to financial stability, but rarely both together. We contribute to filling this research gap by developing a consistent theoretical framework of the drivers, transmission channels, and impacts of the phase‐out of carbon‐intensive industries on the financial system and on the feedback from the financial system into the rest of the economy. We also review the state of play of policy aiming to protect the financial system from transition risks and spell out research implications

Wage differentials associated with race between 2002 and 2014 in Brazil: Evidence from a quantile decomposition

Throughout the 2000s Brazil went through a great phase of economic development. The present study seeks to investigate whether this movement was accompanied by a reduction in inequality in the labor market, measured here by the wage gap between whites and non-whites. To do so, three cohorts of time (2002-2004, 2007-2009 and 2012-2014) were analyzed from the microdata of the National Household Sampling Survey (Pesquisa Nacional de Amostragem Domiciliar - PNAD). The applied method is the counterfactual Oaxaca-Blinder along with the Recentered Influence Function Regression (RIF-Regression) so that the main determinants of wages inequalities can be detailed throughout the salary distribution. Our results showed that wage gap (totals, due to observed factors and discrimination) are higher in the higher quantiles of the distribution, that is, in professions or activities with higher wages. The results also point to a salary approximation between the groups during the analyzed period, which was mainly due to observable characteristics, specially education levels. However, discrimination decreased only between the first and second triennium and in low magnitude. Apart from that, the main determinants of racial wage gap are returns to education, experience and professions considered unregulated (self-employment and informal workers)