Angelica keiskei leaves extract attenuates psychosocial stress in overcrowding-subjected rats
Siswanto, F. M.
Show abstract
Angelica keiskei is currently used as a popular functional food with various beneficial effects, including antioxidant, anti-obesity, anti-tumor, anti-diabetic, and anti-bacterial. A recent in vitro study reported that A. keiskei inhibits monoamine oxidases (MAOs), suggesting the antidepressant property of A. keiskei. However, in vivo studies on laboratory animals subjected to psychosocial stress have not been conducted. In this study, the effects of an A. keiskei leaves extract (AKE) on rats undergoing chronic social overcrowding stress were explored. Six-month-old male and female Wistar rats were housed in groups of three in 12 x 12 x 18 cm cages (overcrowding) for twenty-eight days. Both male and female rats were divided into two groups (N = 10); control group received oral distilled water, whilst the other group (treatment group) received 20 mg/kgBW/day of AKE supplementation. The results showed that AKE-treated rats exhibited lower anxiety- and depressive-related behaviors than that of control stressed rats. AKE significantly decreased corticosterone and increased testosterone and estrogen levels in stressed rats. Additionally, brain tissue MDA and TNF-alpha levels were reduced, while brain neurotransmitter 5-HT and antioxidant SOD levels were elevated by the AKE. These findings suggest, for the first time, that AKE could alleviate overcrowding stress-induced behavioral, neuroendocrine, antioxidant, and inflammatory dysfunctions. A. keiskei leaves extract could potentially be used as an agonist to reduce stress and depression. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=139 SRC="FIGDIR/small/591022v1_ufig1.gif" ALT="Figure 1"> View larger version (18K): org.highwire.dtl.DTLVardef@7be572org.highwire.dtl.DTLVardef@14d702org.highwire.dtl.DTLVardef@2fe218org.highwire.dtl.DTLVardef@1a4ad58_HPS_FORMAT_FIGEXP M_FIG C_FIG
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Sex- and age- dependent effect of pre-gestational chronic stress and mirtazapine treatment on neurobehavioral development of offspring 97%
- Title-Effects of Catha Edulis Forsk on Spatial Cognition and correlation with serum electrolytes in Wild- type Male White Albino Rats 97%
- Analyzing cannabinoid-induced abnormal behavior in a zebrafish model 96%
Similar papers in this journal
- Deciphering the multi-scale mechanisms of Tephrosia purpurea against polycystic ovarian syndrome (PCOS) and its major psychiatric comorbidities: studies from network-pharmacological perspective 94%
- New insights into TNFα/PTP1B and PPARγ pathway through RNF213- a link between inflammation, obesity, insulin resistance and Moyamoya disease 92%
- Bile acids and bilirubin effects on osteoblastic gene profile. Implications in the pathogenesis of osteoporosis in liver diseases. 92%
Similar papers in this journal
- Hydroxychloroquine increased psychiatric-like behaviors and disrupted the expression of related genes in the mouse brain 97%
- Corticosterone as a potential confounding factor in delineating mechanisms underlying ketamine's rapid antidepressant actions 93%
- Verapamil/Curcumin treatment attenuates the behavioral alterations observed in Williams Syndrome mice by regulation of MAPK pathway and Microglia overexpression 92%
Similar papers in this journal
- The combination of lipopolysaccharide and D-galactosamine administration show positive genotoxic effect in mice liver 95%
- Facilitation and inhibition of firing activity and N-methyl-D-aspartate-evoked responses of CA1 hippocampal pyramidal cells by alpha7 nicotinic acetylcholine receptor selective compounds in vivo 94%
- Effects of different environmental intervention durations on the intestinal mucosal barrier and the brain-gut axis in rats with colorectal cancer 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.