Biopsy-Based Transcriptomics Support Rejection Monitoring Through Repeated Kidney Allograft Biopsies

Biopsy-based transcriptomics differentiated suspicious molecular signals among histologically "rejection-free" biopsies progressing to rejection and provided a monitoring tool after antirejection treatment interventions.

Authors

Institutions

Publication Details

Journal
Kidney International Reports
Published
2025-04-27
DOI
https://doi.org/10.1016/j.ekir.2025.04.043
Citations
4
Primary Topic
Renal Transplantation Outcomes and Treatments
Type
article
Field-Weighted Citation Impact
7.94
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Biopsy-Based Transcriptomics Support Rejection Monitoring Through Repeated Kidney Allograft Biopsies

Thomas Schachtner, Kerstin Hübel, Britta George, Elena Rho et al.
4 citations
Kidney International Reports
Renal Transplantation Outcomes and Treatments
7.94
article

Biopsy-Based Transcriptomics Support Rejection Monitoring Through Repeated Kidney Allograft Biopsies

Thomas Schachtner, Kerstin Hübel, Britta George, Elena Rho, Ariana Gaspert, Birgit Helmchen, Lukas Weidmann, Dušan Harmáček, Seraina von Moos
article en
4 citations

Abstract

Biopsy-based transcriptomics differentiated suspicious molecular signals among histologically "rejection-free" biopsies progressing to rejection and provided a monitoring tool after antirejection treatment interventions.

Kidney International ReportsVol. 10(7)
University of Lucerne (CH), University Hospital of Zurich (CH)
Zero hunger
Openalex Percentile: Top 3%
Renal Transplantation Outcomes and Treatments
7.94
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.