Conventional tests of behavioral phenotyping frequently have difficulties differentiating certain genotypes and replicating these differences across laboratories and protocol conditions. This study explores the hypothesis that automated tests can be designed to quantify ethologically relevant behavior patterns that more readily characterize heritable and replicable phenotypes. It used SEE (Strategy for the Exploration of Exploration) to phenotype the locomotor behavior of the C57BL/6 and DBA/2 mouse inbred strains across 3 laboratories. The 2 genotypes differed in 15 different measures of behavior, none of which had a significant genotype-laboratory interaction. Within the same laboratory, most of these differences were replicated in additional experiments despite the test photoperiod phase being changed and saline being injected. Results suggest that well-designed tests may considerably enhance replicability across laboratories.
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http://dx.doi.org/10.1037/0735-7044.117.3.464 | DOI Listing |
Biol Pharm Bull
January 2025
Department of Pharmacology, Graduate School of Pharmaceutical Sciences, Hokkaido University, Sapporo 060-0812, Japan.
Enhanced inflammatory and immune responses have been observed in patients with major depressive disorder, pointing to anti-inflammatory substances as potential seeds for developing novel antidepressants. Omega-3 polyunsaturated fatty acid metabolites, such as resolvin D and E series, maresins, and protectins (collectively known as specialized pro-resolving mediators) demonstrate anti-inflammatory effects. This study examined the antidepressant-like effects of maresin-1 (MaR1) on lipopolysaccharide (LPS)-induced depression-like behaviors in mice.
View Article and Find Full Text PDFBackground: Bridge-like lipid transfer proteins (BLTPs) mediate bulk lipid transport at membrane contact sites. Mutations in BLTPs are linked to both early-onset neurodevelopmental and later-onset neurodegenerative diseases, including movement disorders. The tissue specificity and temporal requirements of BLTPs in disease pathogenesis remain poorly understood.
View Article and Find Full Text PDFEcol Evol
January 2025
Conservation Science Research Group, School of Environmental and Life Sciences University of Newcastle Callaghan New South Wales Australia.
Amphibians are among the most threatened vertebrate taxa globally. Their global decline necessitates effective conservation actions to bolster populations across both the larval and adult stages. Constructing man-made ponds is one action proven to enhance reproduction in pond-breeding amphibians.
View Article and Find Full Text PDFSleep Biol Rhythms
January 2025
Laboratory of Animal Physiology, School of Agriculture, Meiji University, 1-1-1 Higashimita, Tama-Ku, Kawasaki, Kanagawa 214-8571 Japan.
The ovarian steroid hormones, estrogen and progesterone, the levels of which fluctuate dynamically with the estrous cycle, alter circadian behavioral rhythms in mammals. However, it remains unclear whether the sleep-wake rhythm fluctuates with the menstrual cycle in humans. To ascertain the relationship between the menstrual cycle and sleep-wake rhythms, we evaluated the objective and long-term sleep-wake rhythms of ten healthy women using a recently developed wearable device.
View Article and Find Full Text PDFActa Physiol (Oxf)
February 2025
Laboratory of Biological Rhythms, Institute of Physiology of the Czech Academy of Sciences, Prague, Czech Republic.
Aim: Exposure to light at night and meal time misaligned with the light/dark (LD) cycle-typical features of daily life in modern 24/7 society-are associated with negative effects on health. To understand the mechanism, we developed a novel protocol of complex chronodisruption (CD) in which we exposed female rats to four weekly cycles consisting of 5-day intervals of constant light and 2-day intervals of food access restricted to the light phase of the 12:12 LD cycle.
Methods: We examined the effects of CD on behavior, estrous cycle, sleep patterns, glucose homeostasis and profiles of clock- and metabolism-related gene expression (using RT qPCR) and liver metabolome and lipidome (using untargeted metabolomic and lipidomic profiling).
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