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DOI 10.1016/j.gene.2023.147831

Медицинская библиотека · Gene · 2023

Leptin decreases the transcription of BKCa channels and Gs to Gi protein-ratio in late pregnant rat uterus.

Pavithra S, Kishor Kumar D G, Ramesh G, Panigrahi Manjit, Sahoo Monalisa, Madhu C L, Singh Thakur Uttam, Kumar Dinesh, Parida Subhashree

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Аннотация

Obesity can have a significant impact on pregnancy outcomes by compromising the ability of the uterus to relax, which increases the likelihood of conditions such as preterm labor. One of the key pathways responsible for uterine relaxation is the β-adrenergic signaling pathway, and it is well-documented that obesity, often linked to a high-fat diet, can disrupt this pathway within the uterine environment. Hyperleptinemia is a significant feature of pregnancy as well as obesity. However, the effect of leptin on β-adrenergic signaling pathway has not been studied. In the present study, we studied the effects of leptin on transcriptions of the major proteins defining the β-adrenergic signaling pathway in pregnant rat uterus. Leptin treatment at a supraphysiological concentration to pregnant rat uterine strips increased the mRNA and protein expressions of Gs protein but not the mRNA of β2- and β3-adrenoceptors. It also enhanced the expression of Gi-protein, but not the Gq protein. Nevertheless, the mRNA ratio of Gs to Gi protein experienced a significant decrease. Further, leptin reduced the transcription of BKCaα and BKCaβ channel subunits. In leptin-stimulated tissues, there was also an increase in the expression of leptin receptor and JAK-2. In conclusion, leptin decreases the ratio of Gs to Gi proteins and BKCaα and BKCaβ channel subunits suggesting hyperleptinemia is a likely factor inducing uterine relaxant dysfunction in obesity.

Для цитирования: Pavithra S, Kishor Kumar D G, Ramesh G, Panigrahi Manjit, Sahoo Monalisa, Madhu C L, Singh Thakur Uttam, Kumar Dinesh, Parida Subhashree. Leptin decreases the transcription of BKCa channels and Gs to Gi protein-ratio in late pregnant rat uterus.. Gene. 2023. DOI: 10.1016/j.gene.2023.147831.

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