Evidence map›Paper›PMID 38925651›Full record

ArticleNephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association2025

Limitations of biopsy-based transcript diagnostics to detect T-cell-mediated allograft rejection.

Lukas Weidmann, Dusan Harmacek, Kai Castrezana Lopez, Birgit Maria Helmchen, Ariana Gaspert, Raphael Korach, Nicola Bortel, Nicolas Schmid, Seraina von Moos, Elena Rho and 1 more

Abstract read
In one paragraph

Article in Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Antibody-mediated rejection in ABO-incompatible kidney transplantation.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2026
    Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Immune Landscape in Kidney Transplantation.Journal of inflammation research · 2025
    Review
  10. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Lukas WeidmannUniversity Hospital Zurich, Department of Nephrology, Zurich, Switzerland.ORCID 0009-0001-4948-0995
Dusan HarmacekUniversity Hospital Zurich, Department of Nephrology, Zurich, Switzerland.
Kai Castrezana LopezUniversity Hospital Zurich, Department of Nephrology, Zurich, Switzerland.
Birgit Maria HelmchenUniversity Hospital Zurich, Department of Pathology and Molecular Pathology, Zurich, Switzerland.
Ariana GaspertUniversity Hospital Zurich, Department of Pathology and Molecular Pathology, Zurich, Switzerland.
Raphael KorachUniversity Hospital Zurich, Department of Nephrology, Zurich, Switzerland.
Nicola BortelUniversity Hospital Zurich, Department of Nephrology, Zurich, Switzerland.
Nicolas SchmidUniversity Hospital Zurich, Department of Nephrology, Zurich, Switzerland.
Seraina von MoosUniversity Hospital Zurich, Department of Nephrology, Zurich, Switzerland.
Elena RhoUniversity Hospital Zurich, Department of Nephrology, Zurich, Switzerland.ORCID 0000-0003-0687-3753
Thomas SchachtnerUniversity Hospital Zurich, Department of Nephrology, Zurich, Switzerland.ORCID 0000-0001-5549-4798

Funding

Baugarten FoundationSwissLife FoundationUSZ Foundation
6 · The paper itself

Abstract

backgroundIsolated tubulitis, borderline changes and isolated arteritis suspicious for histologic T-cell-mediated rejection (hTCMR) remain findings of uncertain significance. Although the Molecular Microscope Diagnostics System (MMDx) has not been trained on those lesions, it was suggested that MMDx might reclassify a subgroup to molecular TCMR (mTCMR).

methodsIn this single-center cohort of 326 consecutive, unselected kidney allograft biopsies assessed by histology and MMDx, we analyzed 249 cases with isolated tubulitis (i0, t1-3, v0; n = 101), borderline changes (according to Banff 2022, v0; n = 9), isolated arteritis (no borderline, v1; n = 37), no inflammation (i0, t0, v0; n = 67) and a positive control cohort (hTCMR, n = 27; mixed histologic rejection, n = 8; both according to Banff 2022; total n = 35). The first three groups were summarized as TCMR-suspicion (n = 147). Subcategorization included the presence and absence of microvascular inflammation (MVI); g+ptc ptc ≥2. Molecular rejection rates and differentiation were investigated.

resultsMolecular rejection rates were 37/147 cases (25.2%; 32 with MVI) in TCMR-suspicion, 6/67 (9%; 4 with MVI) in no inflammation and 30/35 (85.7%; 19 with MVI) in the positive control cohort. Molecular antibody-mediated rejection (mAMR) was present in 39/73 (53.4%) of cases. The presence of donor-specific antibodies at the time of the biopsy was high (127/249, 51%). Only 3 mAMR/TCMR and 0 pure mTCMR cases were detected in TCMR-suspicion and no inflammation, compared with 12 mAMR/TCMR and 10 mTCMR cases in the positive control cohort (P < .001). Even though the TCMR-specific molecular (Classifier) score differentiated between TCMR-suspicion and no inflammation (P = 0.005), rejection phenotype scores (R2 and R3) did not (P = .157 and .121).

conclusionsMMDx did not identify pure mTCMR among isolated tubulitis, borderline changes or isolated arteritis, likely due to low sensitivity for TCMR lesions. However, it identified mAMR or mAMR/TCMR, especially in cases with MVI. Subthreshold findings remain to be further studied.

Indexed as

Graft RejectionKidney TransplantationT-LymphocytesAdultAllograftsBiopsyFemaleFollow-Up StudiesGraft SurvivalHumansMaleMiddle AgedPrognosisRetrospective StudiesBanff classificationborderline changesisolated arteritisMMDxTCMR-suspicion

Identifiers

PMID38925651
PMCPMC11852332

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.