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DOI 10.1016/j.matbio.2023.09.001

Медицинская библиотека · Matrix biology : journal of the International Society for Matrix Biology · 2023

Unraveling the role of TGFβ signaling in thoracic aortic aneurysm and dissection using Fbn1 mutant mouse models.

Deleeuw Violette, Carlson Eric, Renard Marjolijn, Zientek Keith D, Wilmarth Phillip A, Reddy Ashok P, Manalo Elise C, Tufa Sara F, Keene Douglas R, Olbinado Margie, Stampanoni Marco, Kanki Sachiko, Yanagisawa Hiromi, Mosquera Laura Muiño, Sips Patrick, De Backer Julie, Sakai Lynn Y

СтатьяПоддержка NIH: внешняя программаПеревод в очереди

Аннотация

Although abnormal TGFβ signaling is observed in several heritable forms of thoracic aortic aneurysms and dissections including Marfan syndrome, its precise role in aortic disease progression is still disputed. Using a mouse genetic approach and quantitative isobaric labeling proteomics, we sought to elucidate the role of TGFβ signaling in three Fbn1 mutant mouse models representing a range of aortic disease from microdissection (without aneurysm) to aneurysm (without rupture) to aneurysm and rupture. Results indicated that reduced TGFβ signaling and increased mast cell proteases were associated with microdissection. In contrast, increased abundance of extracellular matrix proteins, which could be reporters for positive TGFβ signaling, were associated with aneurysm. Marked reductions in collagens and fibrillins, and increased TGFβ signaling, were associated with aortic rupture. Our data indicate that TGFβ signaling performs context-dependent roles in the pathogenesis of thoracic aortic disease.

Для цитирования: Deleeuw Violette, Carlson Eric, Renard Marjolijn, Zientek Keith D, Wilmarth Phillip A, Reddy Ashok P, Manalo Elise C, Tufa Sara F, Keene Douglas R, Olbinado Margie, Stampanoni Marco, Kanki Sachiko, Yanagisawa Hiromi, Mosquera Laura Muiño, Sips Patrick, De Backer Julie, Sakai Lynn Y. Unraveling the role of TGFβ signaling in thoracic aortic aneurysm and dissection using Fbn1 mutant mouse models.. Matrix biology : journal of the International Society for Matrix Biology. 2023. DOI: 10.1016/j.matbio.2023.09.001.

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