Quinacrine, a PLA2 inhibitor, alleviates LPS-induced acute kidney injury in rats: Involvement of TLR4/NF-κB/TNF α-mediated signaling

Çomaklı, Selim; Küçükler, Sefa; Değirmençay, Şükrü; Bolat, İsmail; Özdemir, Selçuk

doi:10.1016/j.intimp.2023.111264

Cited by 3 publications

(1 citation statement)

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“…In experimental studies, the immune response to LPS and modulation of intracellular signaling pathways have been shown in detail. 36 , 37 The degree of the desired immune response can often be determined by varying the dose of LPS or by using LPS types with different biological activities. It is important to note that, in this model, LPS sensitivity varies greatly from species to species.…”

Section: Experimental Modelsmentioning

confidence: 99%

Experimental Sepsis Models: Advantages and Limitations

Aydın,

Bekmez

2024

The Eurasian Journal of Medicine

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Sepsis is a major health problem that causes millions of deaths worldwide every year. Due to the complexity of its pathophysiology, there is no clear treatment method for it. Existing treatments impose an additional financial burden on the health systems of countries every year. Clinical and preclinical studies are continuously being conducted in order to prevent the development of sepsis, treat patients with sepsis, reduce mortality, and solve the socioeconomic problems that arise from it. However, it is not possible to directly test every study and potential new treatment in humans. Preclinical studies enable an understanding of pathophysiological events and the development of targeted therapies. For this purpose, many experimental sepsis models have been and continue to be applied. The extent to which these models can reflect the human sepsis condition is an important issue that needs to be emphasized. Each method has different strengths and weaknesses. Researchers should choose the most appropriate experimental model according to the characteristics of the experiments they plan and, if possible, conduct their studies on different models.

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Section: Experimental Modelsmentioning

confidence: 99%