Ehlers-Danlos syndromes (EDS) comprise a genetically and clinically heterogenous group of rare diseases that cause severe, often fatal, damage to connective tissue. The molecular basis of EDS implicates defects in extracellular matrix components, including various fibrillar collagens and glycosaminoglycans (GAGs). However, the precise pathogenic mechanisms behind EDS remain elusive. Here, we have implemented a multi-tiered approach to demonstrate the functional impact of B3GALT6 mutations on biochemical and developmental processes, ultimately leading to the spondylodysplastic subtype of EDS (spEDS), characterized by severe musculoskeletal symptoms. We show that the loss of function of β1,3-galactosyltransferase 6 (β3GalT6) is partially compensated by β1,3-glucuronosyltransferase 3 (GlcAT-I), the next enzyme in the GAG biosynthetic pathway. In addition, results from transcriptomics, collagen analysis, and biophysical experiments revealed that impaired collagen maturation, including defective glycosylation of collagen XII, contributes to altered tissue structure and biomechanics, the hallmarks of spEDS. Our findings unravel a new pathogenic mechanism of spEDS and bring us one step closer to therapeutic strategies, including cell and tissue engineering.
Roméo Milan Diana, Benjamin Jolivet, Jean-Baptiste Vincourt, Sébastien Hergalant, Grégory Francius, Yasaman Karami, Hamed Khakzad, Rebekka Wild, Marie Bourgeais, Anne Robert, Alison Wurtz, Guillermo Barreto, Nick Ramalanjaona, Déborah Helle, Rachel Onifarasoaniaina, Sophie Front, Chrystel Lopin-Bon, Delfien Syx, Fransiska Malfait, Sylvie Fournel-Gigleux, Sandrine Gulberti, Catherine Bui
Usage data is cumulative from August 2025 through July 2026.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 3,332 | 351 |
| 673 | 74 | |
| Figure | 1,434 | 7 |
| Table | 112 | 0 |
| Supplemental data | 668 | 22 |
| Citation downloads | 315 | 0 |
| Totals | 6,534 | 454 |
| Total Views | 6,988 | |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.