ReviewOrphanet journal of rare diseases2026
Preclinical modeling of Loeys-Dietz syndrome: insights into mechanisms and therapy.
Review in Orphanet journal of rare diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
5 authors.
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Abstract
backgroundLoeys-Dietz syndrome (LDS) is a rare multisystemic connective tissue disorder characterized by aggressive aortopathy, skeletal, craniofacial, cutaneous and gastrointestinal manifestations. It is caused by pathogenic variants in genes encoding components of the transforming growth factor-beta (TGF-β) signaling pathway, including TGFBR1, TGFBR2, SMAD2, SMAD3, TGFB2 and TGFB3. MAIN BODY: Preclinical modeling has been instrumental in elucidating LDS pathogenesis and informing therapeutic strategies. In this review, a comprehensive overview of available in vivo and in vitro models used to study LDS is presented. We critically evaluate the extent to which each model recapitulates the diverse LDS phenotypes and discuss their respective advantages and limitations. Attention is given to experimental design and variables that influence phenotype expression, including mouse genetic background, sex differences and variant-specific effects. We further synthetize insights gained from these models into the molecular and cellular mechanisms driving LDS, such as the TGF-β paradox, extracellular matrix dysregulation and immune activation. Lastly, we discuss current and emerging therapeutic strategies.
conclusionThe models described here highlight the critical role of preclinical modeling in advancing our understanding of LDS pathophysiology and therapy, outlining key considerations for future model development and translational application.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.