Usefulness of morphometric image analysis with Sirius Red to assess interstitial fibrosis after renal transplantation from uncontrolled circulatory death donors

Myriam Dao (1, 2) , Christelle Pouliquen (3) , Alyette Duquesne (4) , Katia Posseme (5) , Charlotte Mussini (5) , Antoine Durrbach (6) , Catherine Guettier (5) , Hélène François (7, 2) , Sophie Ferlicot (5)

1 Service de néphrologie adultes [CHU Necker]
2 CoRaKID - Maladies rénales fréquentes et rares : des mécanismes moléculaires à la médecine personnalisée
3 Hôpital Foch [Suresnes]
4 CHI André Gregoire - Centre Hospitalier Intercommunal André Grégoire [Montreuil]
5 Hôpital Bicêtre [AP-HP, Le Kremlin-Bicêtre]
6 Néphrologie [CHU Bicêtre]
7 CHU Tenon [AP-HP]

Early interstitial fibrosis (IF) correlates with long-term renal graft dysfunction, highlighting the need for accurate quantification of IF. However, the currently used Banff classification exhibits some limitations. The aim of our study was to precisely describe the progression of IF after renal transplantation using a new morphometric image analysis method relying of Sirius Red staining. The morphometric analysis we developed showed high inter-observer and intra-observer reproducibility, with ICC [95% IC] of respectively 0.75 [0.67-0.81] (n = 151) and 0.88 [0.72-0.95] (n = 21). We used this method to assess IF (mIF) during the first year after the kidney transplantation from 66 uncontrolled donors after circulatory death (uDCD). Both mIF and interstitial fibrosis (ci) according to the Banff classification significantly increased the first three months after transplantation. From M3 to M12, mIF significantly increased whereas Banff classification failed to highlight increase of ci. Moreover, mIF at M12 (p = 0.005) correlated with mean time to graft function recovery and was significantly associated with increase of creatininemia at M12 and at last follow-up. To conclude, the new morphometric image analysis method we developed, using a routine and cheap staining, may provide valuable tool to assess IF and thus to evaluate new sources of grafts.

Domaines: Sciences du Vivant [q-bio]; Médecine humaine et pathologie

Myriam Dao, Christelle Pouliquen, Alyette Duquesne, Katia Posseme, Charlotte Mussini, et al.. Usefulness of morphometric image analysis with Sirius Red to assess interstitial fibrosis after renal transplantation from uncontrolled circulatory death donors. Scientific Reports, 2020, 10 (1), pp.6894. ⟨10.1038/s41598-020-63749-3⟩. ⟨hal-02613808⟩