Huperzine A ameliorates cognitive dysfunction and neuroinflammation in kainic acid-induced epileptic rats by antioxidant activity and NLRP3/caspase-1 pathway inhibition.
Parvaneh Mohseni-MoghaddamSeyed Shahabeddin SadrMehrdad RoghaniSomayeh ArabzadehSafoura KhamseElham ZamaniMarjan HosseiniFatemeh MoradiPublished in: Clinical and experimental pharmacology & physiology (2019)
Temporal lobe epilepsy (TLE) is one of the most prevalent types of epilepsy in human. Huperzine A (Hup-A) has been reported to possess antioxidative and anti-inflammatory properties; however, its role in TLE induced by kainic acid has not been determined. The current study investigated the protective effects of Hup-A (0.1 mg/kg) in kainic acid-induced model of TLE in the rat. In the current study, it was found that Hup-A significantly prevented the seizure intensity and learning and memory deterioration which was assessed by Morris water maze (MWM) and novel object recognition task (NOR). Additionally, Hup-A inhibited oxidative stress, inflammation, and acetylcholinesterase activity (AChE). In addition, catalase and superoxide dismutase (SOD) activities increased after Hup-A treatment, while malondialdehyde (MDA) and nitrite levels significantly reduced. Regarding inflammation, this drug decreased kainic acid-induced NLRP3 expression in microglial cells and caspase-1 activity in hippocampal tissue, possibly through diminishing oxidative stress. Taken together, our data showed that Hup-A could be a potential protective substance to ameliorate seizure severity and some memory deficits related to epilepsy via attenuating neuroinflammation and protection of neurons.
Keyphrases
- temporal lobe epilepsy
- oxidative stress
- induced apoptosis
- traumatic brain injury
- anti inflammatory
- lipopolysaccharide induced
- lps induced
- endoplasmic reticulum stress
- cell death
- diabetic rats
- ischemia reperfusion injury
- emergency department
- endothelial cells
- spinal cord
- nitric oxide
- signaling pathway
- inflammatory response
- high intensity
- machine learning
- electronic health record
- cell proliferation
- mouse model
- poor prognosis
- hydrogen peroxide
- data analysis
- blood brain barrier
- pluripotent stem cells
- smoking cessation