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Lehoux, S.

Publications and source records attributed to Lehoux, S..

2 recordsLinked to original sources

Early IKKb-dependent anabolic signature governs vascular smooth muscle cells fate and abdominal aortic aneurysm development

BackgroundAbdominal aortic aneurysm (AAA) is a detrimental disease with no effective pharmacological therapy. While inflammation is recognized as one of the key regulators of AAA, targeting inflammatory pathways once the disease is established does not impact the outcomes. However, understanding the earliest molecular indicators could shed light on the precise biological targets and prognostic markers for AAA. MethodsUsing apolipoprotein E (ApoE)-deficient mice fed with a standard diet and infused with Angiotensin II (Ang II), we conducted bulk RNA-sequencing (RNA-Seq) analysis on suprarenal (SRA) regions obtained from both unchallenged and challenged WT mice, specifically examining responses 24 hours after Ang II infusion to capture the initial phases of aortic stress response. We further created a unique model of hyperlipidemic mice in which the expression of the inhibitor of nuclear factor kappa B kinase subunit beta (IKK{beta}) can be conditionally (via tamoxifen injection) suppressed in vascular smooth muscle cells (VSMC). The development of AAA was evaluated using in situ examination and quantified using RT-qPCR, immunohistochemistry and fluorescence microscopy. Cultured VSMC were exposed to the selective IKK{beta} inhibitor MLN120b and the expression levels of phenotypic markers kruppel like factor 4 (KLF4), {beta}-Catenin and cellular communication network factor 2 (CCN2) were addressed using cellular extracts and immunoblot analysis. ResultsRNA-Seq data support the presence of early anabolic events in SRA regions detailing activation of the mammalian target of rapamycin complex 1 (mTORC1) pathway, which paralleled cellular anabolic processes including mitochondria, ribosome and sterol biosynthesis, the Unfolded Protein Response (UPR) and fibrogenesis. Conditional deletion of the Ikbkb gene in VSMC significantly reduces the incidence of SRA lesions as well as the rate of aneurysm ruptures in mice exposed to Ang II. In situ analysis further demonstrated that the protection conferred by the lack of IKK{beta} expression in VSMC is associated with reduced inflammatory response, the preservation of the contractile over the degradative VSMC phenotypes, and the absence of an anabolic signature. ConclusionOur results not only reinforce the major roles played by VSMC in the rapid adaptation leading to the deleterious remodeling of the vascular wall and aortic lesions but also support a paradigm aiming at repositioning the efforts focusing on anabolic rather than inflammatory events.

molecular biology↗

Pancreatic tumor organoids for modeling in vivo drug response and discovering clinically-actionable biomarkers

Patient-derived models are transforming translational cancer research. It is not clear if the emergence of patient-derived organoid (PDO) models can extend the utility of the widely used patient-derived xenograft (PDX). In addition, the utility of PDO models for serum biomarker discovery is not known. Here, we demonstrate that PDO models recapitulate the genomics, cell biology, glycomics and drug responses observed in PDX models. Furthermore, we demonstrate the applicability of PDO models for identification of N-glycans that are enriched in the glycome of pancreatic ductal adenocarcinoma (PDAC). Surprisingly, among all the glycans observed in PDX and PDOs, a core set of 57 N-glycans represent 50-94% of the relative abundance of all N-glycans detected, suggesting that only a subset of glycans dominate the cell surface landscape in PDAC. In addition, we outline a tumor organoid-based pipeline to identify surface proteins in extracellular vesicles (EV) from media supernatant of PDO cultures. When combined with the affinity-based validation platform, the EV surface proteins discovered in PDOs are effective in differentiating patients with PDAC from those with benign pancreatitis in the clinic, identifying PDO as powerful discovery platform for serum biomarkers. Thus, PDOs extend the utility of the archival collections of PDX models for translational research and function as a powerful platform for identification of clinically-actionable biomarkers in patients blood. Significance statementTumor organoids extend the utility of PDX models as platforms for investigating drug response, glycosylation changes and function as new platforms for discovering blood-based biomarkers

cancer biology↗