Evidence map›Paper›PMID 41062932›Full record

ArticleClinical proteomics2025

Spatial proteomics to discover aging-associated alterations in the renal tubulointerstitium.

Dong-Gi Mun, Ganesh P Pujari, Gunveen Sachdeva, Benjamin J Madden, M Cristine Charlesworth, Kenneth L Johnson, Luisa Ricaurte Archila, Mariam P Alexander, Aleksandar Denic, Aidan F Mullan and 5 more

Abstract read
In one paragraph

Article in Clinical proteomics, 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. Article
  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

15 authors.

Dong-Gi MunDepartment of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Ganesh P PujariDepartment of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Gunveen SachdevaDepartment of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Benjamin J MaddenProteomics Core, Mayo Clinic, Rochester, MN, 55905, USA.
M Cristine CharlesworthProteomics Core, Mayo Clinic, Rochester, MN, 55905, USA.
Kenneth L JohnsonProteomics Core, Mayo Clinic, Rochester, MN, 55905, USA.
Luisa Ricaurte ArchilaDepartment of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Mariam P AlexanderDepartment of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Aleksandar DenicDivision of Nephrology and Hypertension, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Aidan F MullanDivision of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN, 55905, USA.
Vidit SharmaDepartment of Urology, Mayo Clinic, Rochester, MN, 55905, USA.
Nicholas B LarsonDivision of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN, 55905, USA.
Anthony C LuehrsDivision of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN, 55905, USA.
Andrew D RuleDivision of Nephrology and Hypertension, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA. rule.andrew@mayo.edu.
Akhilesh PandeyDepartment of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA. pandey.akhilesh@mayo.edu.

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI Felicity Enders · 1985 to 2026
$151.3M
The macro- and micro- anatomy and pathology of the aging kidneyR01DK090358 · NIDDK · MAYO CLINIC ROCHESTER · PI ANDREW David RULE · 2011 to 2026
$9.9M
Mayo Clinic Center for Clinical ProteomicsU01CA271410 · NCI · MAYO CLINIC ROCHESTER · PI Rafael Fonseca, AKHILESH PANDEY · 2022 to 2026
$5.3M
NCI NIH HHS P30 CA015083NCI NIH HHS P30CA15083NCI NIH HHS U01 CA271410NCI NIH HHS U01CA271410NIDDK NIH HHS R01 DK090358NIDDK NIH HHS R01DK090358
6 · The paper itself

Abstract

The preservation of tissue architecture and morphology in formalin-fixed paraffin-embedded (FFPE) tissues enables spatial resolution at the cellular and sub-cellular levels. Laser capture microdissection (LCM) combined with liquid chromatography tandem mass spectrometry analysis permits collection of tissue areas with spatial context for proteome profiling from FFPE slides. In this study, we performed proteome profiling of non-diseased renal tubulointerstitial tissue in a cohort of young (< 40 years) and old (> 70 years) individuals with the goal of spatially correlating the histomorphology to the proteomic profile. To perform in-depth characterization of renal tubulointerstitium and to identify renal aging-associated proteins, a multiplexing strategy using tandem mass tags (TMT) was employed, resulting in the quantitation of 7,355 proteins. Our approach allowed for identification of proteins with low abundance such as fibrocystin and ninein-like protein. Notably, 162 solute carrier proteins from 47 solute carrier families were identified, which were enriched in proximal and distal tubule cells. Finally, we discovered a proteomic signature associated with renal aging, which includes metalloproteinase inhibitor 3, nicotinamide N-methyltransferase, matrix metallopeptidase 7, phenazine biosynthesis-like domain-containing protein and solute carrier family 23 member 1. Overall, our study demonstrates the power of LCM combined with proteomics to leverage archived FFPE tissue samples for investigating proteomic alterations in the renal tubulointerstitium with age at a high depth of proteome coverage.

Indexed as

Renal agingSpatial proteomicsTubulointerstitium

Identifiers

PMID41062932
PMCPMC12509392

What OpenQuestion holds

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Registered trials

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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.