Evidence map›Paper›PMID 41121127›Full record

ArticleJournal of translational medicine2025

Biopsy proteome-based classification of T cell-mediated kidney allograft rejection.

Daria Kania, Daniel Fochtman, Łukasz Skoczylas, Marta Gawin, Łukasz Marczak, Agata Kurczyk, Katarzyna Fidyk, Agnieszka Perkowska-Ptasińska, Ewa Chmielik, Alicja Dębska-Ślizień and 3 more

Abstract read
In one paragraph

Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Daria Kania *Center for Translational Research and Molecular Biology of Cancer, Maria Skłodowska-Curie National Research Institute of Oncology Gliwice Branch, Wybrzeże Armii Krajowej 15, 44-102, Gliwice, Poland.
Daniel Fochtman *Institute of Bioorganic Chemistry, Polish Academy of Sciences, Noskowskiego 12/14, 61-704, Poznań, Poland.
Łukasz SkoczylasCenter for Translational Research and Molecular Biology of Cancer, Maria Skłodowska-Curie National Research Institute of Oncology Gliwice Branch, Wybrzeże Armii Krajowej 15, 44-102, Gliwice, Poland.
Marta GawinCenter for Translational Research and Molecular Biology of Cancer, Maria Skłodowska-Curie National Research Institute of Oncology Gliwice Branch, Wybrzeże Armii Krajowej 15, 44-102, Gliwice, Poland.
Łukasz MarczakInstitute of Bioorganic Chemistry, Polish Academy of Sciences, Noskowskiego 12/14, 61-704, Poznań, Poland.
Agata KurczykDepartment of Biostatistics and Bioinformatics, Gliwice Branch, Maria Skłodowska-Curie National Research Institute of Oncology, Wybrzeże Armii Krajowej 15, 44-102, Gliwice, Poland.
Katarzyna FidykTumor Pathology Department, Gliwice Branch, Maria Skłodowska-Curie National Research Institute of Oncology, Wybrzeże Armii Krajowej 15, 44-102, Gliwice, Poland.
Agnieszka Perkowska-PtasińskaDepartment of Pathology, Medical University of Warsaw, Ul. Pawińskiego 3B, 02-097, Warsaw, Poland.
Ewa ChmielikTumor Pathology Department, Gliwice Branch, Maria Skłodowska-Curie National Research Institute of Oncology, Wybrzeże Armii Krajowej 15, 44-102, Gliwice, Poland.
Alicja Dębska-ŚlizieńDepartment of Nephrology, Transplantology and Internal Medicine, Medical University of Gdańsk, Smoluchowskiego 17, 80-952, Gdansk, Poland.
Justyna GołębiewskaDepartment of Nephrology, Transplantology and Internal Medicine, Medical University of Gdańsk, Smoluchowskiego 17, 80-952, Gdansk, Poland. jgolebiewska@gumed.edu.pl.
Anna WojakowskaInstitute of Bioorganic Chemistry, Polish Academy of Sciences, Noskowskiego 12/14, 61-704, Poznań, Poland. astasz@ibch.poznan.pl.ORCID 0000-0002-4541-1239
Monika PietrowskaCenter for Translational Research and Molecular Biology of Cancer, Maria Skłodowska-Curie National Research Institute of Oncology Gliwice Branch, Wybrzeże Armii Krajowej 15, 44-102, Gliwice, Poland. monika.pietrowska@gliwice.nio.gov.pl.

Funding

Narodowe Centrum Nauki 2021/43/B/NZ7/02221
6 · The paper itself

Abstract

backgroundT cell-mediated rejection (TCMR) remains a challenge in kidney transplantation. Based on a histopathological biopsy examination, patients can be classified into groups such as no rejection (NR), borderline rejection (BR; Banff category 3), and acute rejection (AR; Banff category 4). Yet, this classification is not sufficient, since for the borderline cases a number of patients may require a clinical intervention. Thus, a robust classification by biopsy proteome profiling may provide a solution.

methodsIn this work, kidney tissue from patients classified into NR, BR, and AR were subjected to MS-based proteomic profiling. Subsequently, a panel of four proteins (GNB4, PDK1, AGXT, CD73) was selected for validation by immunohistochemistry (IHC). This retrospective study was approved by the Bioethics Committee of the Medical University of Gdańsk, no. NKBBN/201/2021.

resultsProteomic analysis identified 2547 proteins whose abundance profiles demonstrated strong concordance between the BR and AR groups. In a quantitative comparison between the BR and AR groups, GNB4 and AGXT emerged as significantly differentiating. Moreover, AGXT was indicated as a potential biomarker following ROC analysis. PDK1 and CD73 were found to best classify the samples in a binary analysis. IHC confirmed only upregulation of GNB4 in immune cells and PDK1 in macrophages, with no significant changes in the tubular epithelium.

conclusionsThus, GNB4 and PDK1 in immune cells and macrophages have been identified as a potential target for further extensive studies. If their relevance were to be confirmed in a larger patient cohort, their IHC analysis could serve as an extension of established histopathological classification in the context of kidney transplant rejection.

Indexed as

AllograftsGraft RejectionKidney TransplantationProteomeProteomicsT-LymphocytesAdultBiomarkersBiopsyFemaleHumansKidneyMaleMiddle AgedBiomarkersProteomeBorderline rejectionImmunohistochemical stainingKidney transplant rejectionMass spectrometry-based proteomicsT-cell mediated rejection

Identifiers

PMID41121127
PMCPMC12539011

What Socratic holds

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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 Socratic graph.