Extract Affects Acute Kidney Injury Caused by Rhabdomyolysis in Rats Through TNF/NF-κB Signaling Pathway.

Due to the anti-inflammatory and antioxidant properties of the and the pathological mechanisms of rhabdomyolysis in the kidney, this plant can be used to improve the symptoms of this disease. Then, in this study, we investigated the effects of this herb in improving kidney injury by rhabdomyolysis. Animals were divided into five groups: control, glycerol (received it for rhabdomyolysis induction), extract (received 12 mg/kg extract), and treatment groups with dexamethasone (0.

: A Potent Antioxidant Against Organ Toxicity by Effect on the NF-κB Pathway.

Acetaminophen (APAP) is a well-known drug that, in high doses, induces hepatotoxicity and nephrotoxicity. This study has investigated the preventive effect of the extract and fractions of on APAP-induced liver and kidney damage. In this experiment, after analysis of the extract using FTIR, toxicity was induced by APAP on the 7th day.

The comparison of the effects of nano-silymarin and silymarin on high-fat diet-induced fatty liver of adult male rats.

Objective: Considering the high prevalence of non-alcoholic fatty liver disease and its complications, this study aims to determine and compare the effect of nano-silymarin and silymarin on non-alcoholic fatty liver in rats.

Materials And Methods: Rats were divided into 5 groups: Control, high-fat diet, high-fat diet and atorvastatin, high-fat diet and silymarin, and high-fat diet and nano-silymarin. After 12 weeks, blood samples were taken to measure cholesterol, triglyceride, HDL, LDL, ALT and AST.

Antihypertensive and Antioxidant Effects of an Aqueous Extract of Asafetida in Renovascular Hypertensive Rats.

Recently, the effect of an aqueous extract of asafetida on acute angiotensin II hypertensive rats was evaluated. The present study evaluated the antihypertensive and antioxidant effects of asafetida on a rat model of renovascular hypertension (RVH) using four groups. RVH was induced by clipping the renal artery; the sham group underwent surgery but without clipping.

Evaluating the strengths and weaknesses of large language models in answering neurophysiology questions.

Large language models (LLMs), like ChatGPT, Google's Bard, and Anthropic's Claude, showcase remarkable natural language processing capabilities. Evaluating their proficiency in specialized domains such as neurophysiology is crucial in understanding their utility in research, education, and clinical applications. This study aims to assess and compare the effectiveness of Large Language Models (LLMs) in answering neurophysiology questions in both English and Persian (Farsi) covering a range of topics and cognitive levels.