FB2025_01 , released February 20, 2025
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Citation
Holvoet, H., Long, D.M., Yang, L., Choi, J., Marney, L., Poeck, B., Maier, C.S., Soumyanath, A., Kretzschmar, D., Strauss, R. (2023). Chlorogenic Acids, Acting via Calcineurin, Are the Main Compounds in Centella asiatica Extracts That Mediate Resilience to Chronic Stress in Drosophila melanogaster.  Nutrients 15(18): 4016.
FlyBase ID
FBrf0257695
Publication Type
Research paper
Abstract
Common symptoms of depressive disorders include anhedonia, sleep problems, and reduced physical activity. Drugs used to treat depression mostly aim to increase serotonin signaling but these can have unwanted side effects. Depression has also been treated by traditional medicine using plants like Centella asiatica (CA) and this has been found to be well tolerated. However, very few controlled studies have addressed CA's protective role in depression, nor have the active compounds or mechanisms that mediate this function been identified. To address this issue, we used Drosophila melanogaster to investigate whether CA can improve depression-associated symptoms like anhedonia and decreased climbing activity. We found that a water extract of CA provides resilience to stress induced phenotypes and that this effect is primarily due to mono-caffeoylquinic acids found in CA. Furthermore, we describe that the protective function of CA is due to a synergy between chlorogenic acid and one of its isomers also present in CA. However, increasing the concentration of chlorogenic acid can overcome the requirement for the second isomer. Lastly, we found that chlorogenic acid acts via calcineurin, a multifunctional phosphatase that can regulate synaptic transmission and plasticity and is also involved in neuronal maintenance.
PubMed ID
PubMed Central ID
PMC10537055 (PMC) (EuropePMC)
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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Nutrients
    Title
    Nutrients
    ISBN/ISSN
    2072-6643
    Data From Reference
    Alleles (2)
    Chemicals (2)
    Genes (2)
    Human Disease Models (1)
    Insertions (1)
    Transgenic Constructs (1)