Aller au contenu principal
2025 article

#3429 Biopsy-based transcriptomics allow earlier detection of rejection, gradual phenotyping and monitoring of anti-rejection treatment interventions in kidney transplant recipients: lessons from follow-up biopsies

0Citations signalées, ce qui n’est pas une note de qualité
1Institutions déclarées
1Pays d’affiliation déclarés

Rattachement africain : ch. Niveau de preuve : code pays fourni par la source.

Le résumé fourni par la source

Abstract Background and Aims Transcriptomics in biopsy-based diagnosis of kidney allograft rejection has the potential to detect rejection earlier than histopathology, offer continuous rejection phenotyping, and quantify disease activity and injury degrees to reflect anti-rejection treatment responses. Method From 2018 to 2024, we investigated 85 biopsy series (each consisting of a baseline and corresponding follow-up biopsy) assessed by histopathology (Banff classification 2022) and the Molecular Microscope Diagnostic System (MMDx). Results Baseline biopsies showed histological rejection in 47/85 (55%) cases, with concordant molecular rejection in 81%. Follow-up biopsies, obtained after a median of 8 months (IQR 4, 17), identified histological rejection in 13/38 (34%) cases without full histological rejection at baseline. These baseline cases had significantly higher rejection classifier (median 0.17 vs. 0.03, P = 0.01) and all antibody-mediated rejection (AMR) archetype scores (median 0.23 vs. 0.09, P = 0.007) than those without histological rejection at follow-up (n = 25). A gradual rejection phenotyping along the AMR and T cell-mediated rejection (TCMR) classifier activity identified molecular patterns of resolution and progression at follow-up. Cases with mixed molecular AMR/TCMR showed resolution of the AMR classifier activity only, if predominant TCMR archetype clusters were present at baseline. Treatment responses in anti-rejection interventions for molecular TCMR (pulsed steroids with/without T cell-depletion) were measurable through TCMR classifier scores, while interventions for molecular AMR showed significant reductions in AMR classifiers (P = 0.036) beyond histological changes. Conclusion Biopsy-based transcriptomics differentiate early rejection signs along histologically ambiguous baseline biopsies, aid in gradual AMR/TCMR phenotyping, and provide a tool for monitoring treatment effects after conventional anti-rejection therapies.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.

Le contrôle bibliographique ouvert

DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.

Titre Crossref
#3429 Biopsy-based transcriptomics allow earlier detection of rejection, gradual phenotyping and monitoring of anti-rejection treatment interventions in kidney transplant recipients: lessons from follow-up biopsies
Date Crossref
01/10/2025
Éditeur
Oxford University Press (OUP)
Type
journal-article

Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.

Les institutions déclarées

Une affiliation ne permet pas de déduire la nationalité d’un auteur.

Les sujets associés

Renal Transplantation Outcomes and TreatmentsMetabolism and Genetic DisordersRenal and Vascular Pathologies

BNTIC News n’est pas le producteur de ces données. Les publications sont interrogées à la demande dans Crossref, OpenAIRE, DOAJ, Europe PMC, HAL, DataCite, AfricArXiv, ROR et la Banque mondiale, sans clé d’accès. OpenAlex reste optionnel. Aucun service payant n’est nécessaire et aucune donnée externe n’est enregistrée en base. Consulter les sources et leurs limites.