Evidence map›Paper›PMID 42759700›Full record

ArticleMolecular & cellular proteomics : MCP2026

Top-Down Proteomics in the Assessment of Kidney Donor Quality: A Proof of Concept for Increased Organ Utilization.

Claudia Ctortecka, Dinesh Jaishankar, Pei Su, Che-Fan Huang, Indira Pla, Nathaniel Henning, Michael A R Hollas, Michelle A Callegari, Meredith E Taylor, Yu Min Lee and 8 more

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Claudia CtorteckaChemistry of Life Processes Institute, Northwestern University, Evanston, Illinois, USA.
Dinesh JaishankarDivision of Organ Transplant, Department of Surgery, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA; Comprehensive Transplant Center, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
Pei SuProteomics Center of Excellence, Northwestern University, Evanston, Illinois, USA; Department of Chemistry, Northwestern University, Evanston, Illinois, USA; Department of Biochemistry, University of California, Riverside, California, USA.
Che-Fan HuangProteomics Center of Excellence, Northwestern University, Evanston, Illinois, USA.
Indira PlaProteomics Center of Excellence, Northwestern University, Evanston, Illinois, USA.
Nathaniel HenningProteomics Center of Excellence, Northwestern University, Evanston, Illinois, USA.
Michael A R HollasProteomics Center of Excellence, Northwestern University, Evanston, Illinois, USA.
Michelle A CallegariDivision of Organ Transplant, Department of Surgery, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA; Comprehensive Transplant Center, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
Meredith E TaylorDivision of Organ Transplant, Department of Surgery, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA; Comprehensive Transplant Center, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
Yu Min LeeDivision of Organ Transplant, Department of Surgery, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA; Comprehensive Transplant Center, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
Amna DaudDivision of Organ Transplant, Department of Surgery, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA; Comprehensive Transplant Center, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
David F PinelliDivision of Organ Transplant, Department of Surgery, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA; Comprehensive Transplant Center, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
Vinayak RohanDivision of Organ Transplant, Department of Surgery, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA; Comprehensive Transplant Center, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
Michael A CaldwellChemistry of Life Processes Institute, Northwestern University, Evanston, Illinois, USA; Proteomics Center of Excellence, Northwestern University, Evanston, Illinois, USA.
Eleonora ForteDivision of Nephrology, Department of Medicine, College of Medicine, University of Illinois Chicago, Chicago, Illinois, USA.
Aniel SanchezProteomics Center of Excellence, Northwestern University, Evanston, Illinois, USA; Department of Chemistry, Northwestern University, Evanston, Illinois, USA.
Neil L KelleherChemistry of Life Processes Institute, Northwestern University, Evanston, Illinois, USA; Proteomics Center of Excellence, Northwestern University, Evanston, Illinois, USA; Department of Chemistry, Northwestern University, Evanston, Illinois, USA; Department of Molecular Biosciences, Northwestern University, Evanston, Illinois, USA. Electronic address: n-kelleher@northwestern.edu.
Satish N NadigDivision of Organ Transplant, Department of Surgery, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA; Comprehensive Transplant Center, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA; Department of Microbiology-Immunology and Pediatrics, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA. Electronic address: satish.nadig@nm.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A persistent barrier to optimizing the utilization of deceased donor kidneys, nearly 30% of which are discarded, is the absence of objective, molecularly resolved metrics of organ quality. To address this gap, we integrated high-resolution proteoform imaging mass spectrometry (PiMS) of donor kidney biopsies with deep LC-MS-based intact proteoform profiling of recipient peripheral blood mononuclear cells (PBMCs) and standard clinical assays. This approach enables direct delineation of proteoform landscapes and reveals immunological and cell stress signatures. Across donor types, living donor (LD) kidneys were enriched for proteoforms associated with oxidative metabolism and cellular homeostasis, whereas kidneys from donation after brain death (DBD), donation after circulatory death (DCD), and discarded organs exhibited elevated abundance of stress-responsive proteoforms, including acetylated CRYAB, PARK7, S100A4, and ACTG1. Despite more pronounced early allograft dysfunction in DCD recipients, DCD tissue proteoform landscapes were globally more similar to LD than to DBD kidneys, indicating distinct injury biology not captured by clinical metrics or peptide-centric proteomics. To extend these findings beyond the graft, we performed the first paired tissue and PBMC proteoform profiling across donor types. Baseline PBMC proteoform differences were minimal; however, by day 7 post-transplant, recipients of deceased donor kidneys exhibited platelet activation, cytoskeletal stress, and inflammatory signaling. Several PBMC-derived proteoforms correlated with serum creatinine, highlighting their potential as early, objective indicators of graft adaptation. Collectively, this proof-of-concept study defines conserved injury-associated proteoforms across tissue and immune compartments and supports the idea that proteoform-resolved analysis may provide a mechanistically grounded, objective framework for assessing donor kidney quality and early graft function.

Indexed as

cell signalingkidney biopsykidney donationproteoform imagingtop-down proteomicstransplantation

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.