Vinicius Castelli
São Paulo, 2026PT
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Vildagliptin for skin fibrosis

Can a diabetes drug quiet the cells that harden skin? A seven-day repurposing study, tested layer by layer.

Role
Co-led analysis, pitch
Date
2026-08
Status
live
evidence
7 layers
cohorts
4 datasets
0progenitor1ECM2ECM3myofibroblast4activated5progenitor6myofibroblast7activated8ECM9myofibroblast10activatedDPP4-high branchlower in SSc0higher in SScoutlined: significant in the original figureDPP4-positive cells, %controlSScFibroblast14.659.58NKEndothelialMyeloidMastKeratinocyteT cellPericyte051015
DPP4-positive cells, %
CellcontrolSSc
Fibroblast9.5814.65
NK2.843.43
Endothelial1.721.22
Myeloid1.210.85
Mast0.551.14
Keratinocyte0.390.66
T cell00.47
Pericyte0.030
Fig. 1. Fibroblast states in systemic sclerosis skin (GSE138669), connected by PAGA. Colour is the SSc effect on each state’s share of cells. The DPP4-high branch runs 0 → 2 → 4. Values are read off the published figure, so they’re approximate. PAGA shows how states connect; on its own it says nothing about which way a lineage runs.

Vildagliptin blocks the enzyme DPP-4. In systemic sclerosis, DPP-4 marks the progenitor fibroblasts that become collagen-producing myofibroblasts. At the Cortellis Drug Repositioning Hackathon, a team of five tested whether that overlap justifies a lab experiment.

The evidence came from four public human skin cohorts, single-cell and network analyses, and a pharmacokinetic model of how much drug reaches skin. Some layers supported the idea and some narrowed it: DPP4 is not globally increased and is not a severity marker. The verdict was to advance to a proof-of-mechanism experiment, which was designed but has not been run.

I co-led the computational analysis and presented the case. The project page re-plots every result as an interactive chart, and each of its 54 references is checked against PubMed.