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Sehr niedrigMaus2023

Copy number variation as a tool for implementing pregnancy as an aging model.

Mariana Andrawus, Lital Sharvit, Noga Touitou, Batia Lerrer et al.

Kernaussage

Pregnancy exhibits physiological and cellular degradation mechanisms similar to aging, followed by a unique rejuvenation process postpartum, suggesting pregnancy can serve as an enhanced and effective aging model.

Abstract

Copy number variations (CNV) are a major contributor to genome variability and have been linked to aging and other degradable phenotypes such as pregnancy physiology. To demonstrate how pregnancy can be used as a model of aging, we used CNVs from pregnant mice. Candidate CNVs were selected by applying case-control analysis in human centenarians compared with control groups. These CNVs were aligned with the mouse genome and their copy variation was assessed using qRT-PCR in liver and blood tissue samples from pregnant mice throughout pregnancy (baseline; first, second, and third trimester; post-partum). Eight of the ten selected CNVs demonstrated a significant decline/increase trend throughout the pregnancy followed by opposite direction soon after delivery in the liver and blood of the mouse tissues. Furthermore, significant differential expression was detected among the candidate CNVs' close vicinity genes ( APA2A, LSS, RBDHF1, PLAAT1 , and SCL17A2 ), but not in the WSCD2 gene. Establishing a genetic link between longevity and pregnancy is a significant step toward implementing the pregnancy process as a model for aging. These results in pregnant mice highlight the mechanism and similarities between pregnancy and aging. Investigating the mechanisms that cause such rejuvenation after labor could change our aging treatment paradigm.

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Quelle: PubMed Central / National Library of Medicine (NLM). Apollion steht in keiner Verbindung mit NLM und wird von NLM nicht empfohlen. Evidenzgrade bewerten die methodische Studienqualität — nicht die inhaltliche Richtigkeit.

Lizenz: CC BY — Inhalte werden ausschließlich aus Open-Access-Quellen mit kommerziell nutzbaren Lizenzen (CC0, CC BY, CC BY-SA) indexiert.