Combination of levetiracetam with sodium selenite prevents pentylenetetrazole-induced kindling and behavioral comorbidities in rats

Rehman, Zohabia; Farooq, Talha Bin; Javaid, Sana; Ashraf, Waseem; Rasool, Muhammad Fawad; Samad, Noreen; Tariq, Maryam; Anjum, Syed Muhammad Muneeb; Sivandzade, Farzane; Alotaibi, Faisal; Alqahtani, Faleh; Imran, Imran

doi:10.1016/j.jsps.2022.03.003

Cited by 15 publications

(16 citation statements)

References 64 publications

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“…at a dose of 50 mg/kg for 21 days. Contrary to our results, levetiracetam improved recognition memory which was associated with a greater exploration of the new object [31]. The drug was also investigated in a mouse model of chronic cerebral hypoperfusion.…”

Section: Discussioncontrasting

confidence: 99%

“…In a recent study, Rehman et al (2022) assessed the effect of LEV on memory in PTZ-kindled rats also using the NOR test. The drug was given i.p.…”

Section: Discussionmentioning

confidence: 99%

“…However, we paid attention to the unusual animal behavior of animal during the study and freezing was rarely observed. In the mentioned study by Rehman et al (2022), the authors assessed the anxiety in PTZ-kindled rats in the EPM test. The anxiolytic properties of the drug was observed as the rats receiving LEV more frequently entered the open arms of the maze and stayed there longer [31].…”

Section: Discussionmentioning

confidence: 99%

“…In the mentioned study by Rehman et al (2022), the authors assessed the anxiety in PTZ-kindled rats in the EPM test. The anxiolytic properties of the drug was observed as the rats receiving LEV more frequently entered the open arms of the maze and stayed there longer [31]. In another study, the effect of LV on anxiety was compared to the activity of its analog -brivaracetam.…”

Section: Discussionmentioning

confidence: 99%

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The differential effect of levetiracetam on memory and anxiety in rats

Zwierzyńska¹,

Pietrzak²

2022

Epilepsy & Behavior

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Section: Discussioncontrasting

confidence: 99%

“…In a recent study, Rehman et al (2022) assessed the effect of LEV on memory in PTZ-kindled rats also using the NOR test. The drug was given i.p.…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

The differential effect of levetiracetam on memory and anxiety in rats

Zwierzyńska¹,

Pietrzak²

2022

Epilepsy & Behavior

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“…Disodium selenite is derived from selenium, and its ability to modulate the activity of selenized enzymes can achieve neuroprotective effects. Several neuropsychiatric disorders, including depression, are associated with selenium deficiency ( 37 ). Eplerenone is a type of mineralocorticoid-receptor (MR) drug.…”

Section: Discussionmentioning

confidence: 99%

Screening of potential biomarkers in peripheral blood of patients with depression based on weighted gene co-expression network analysis and machine learning algorithms

2022

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BackgroundThe prevalence of depression has been increasing worldwide in recent years, posing a heavy burden on patients and society. However, the diagnostic and therapeutic tools available for this disease are inadequate. Therefore, this research focused on the identification of potential biomarkers in the peripheral blood of patients with depression.MethodsThe expression dataset GSE98793 of depression was provided by the Gene Expression Omnibus (GEO) (https://www.ncbi.nlm.nih.gov/gds). Initially, differentially expressed genes (DEGs) were detected in GSE98793. Subsequently, the most relevant modules for depression were screened according to weighted gene co-expression network analysis (WGCNA). Finally, the identified DEGs were mapped to the WGCNA module genes to obtain the intersection genes. In addition, Gene Ontology (GO), Disease Ontology (DO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analyses were conducted on these genes. Moreover, biomarker screening was carried out by protein-protein interaction (PPI) network construction of intersection genes on the basis of various machine learning algorithms. Furthermore, the gene set enrichment analysis (GSEA), immune function analysis, transcription factor (TF) analysis, and the prediction of the regulatory mechanism were collectively performed on the identified biomarkers. In addition, we also estimated the clinical diagnostic ability of the obtained biomarkers, and performed Mfuzz expression pattern clustering and functional enrichment of the most potential biomarkers to explore their regulatory mechanisms. Finally, we also perform biomarker-related drug prediction.ResultsDifferential analysis was used for obtaining a total of 550 DEGs and WGCNA for obtaining 1,194 significant genes. Intersection analysis of the two yielded 140 intersection genes. Biological functional analysis indicated that these genes had a major role in inflammation-related bacterial infection pathways and cardiovascular diseases such as atherosclerosis. Subsequently, the genes S100A12, SERPINB2, TIGIT, GRB10, and LHFPL2 in peripheral serum were identified as depression biomarkers by using machine learning algorithms. Among them, S100A12 is the most valuable biomarker for clinical diagnosis. Finally, antidepressants, including disodium selenite and eplerenone, were predicted.ConclusionThe genes S100A12, TIGIT, SERPINB2, GRB10, and LHFPL2 in peripheral serum are viable diagnostic biomarkers for depression. and contribute to the diagnosis and prevention of depression in clinical practice.

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