Evidence map›Paper›PMID 37626301›Full record

ArticleBMC nephrology2023

Glomerular proteomic profiling reveals early differences between preexisting and de novo type 2 diabetes in human renal allografts.

Anne Kipp, Hans-Peter Marti, Janka Babickova, Sigrid Nakken, Sabine Leh, Thea A S Halden, Trond Jenssen, Bjørn Egil Vikse, Anders Åsberg, Giulio Spagnoli and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 26% of its field
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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. CNDP2: An Enzyme Linking Metabolism and Cardiovascular Diseases?Journal of cardiovascular translational research · 2025
    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

11 authors at 5 institutions in 3 countries.

Anne KippDepartment of Clinical Medicine, University of Bergen, Bergen, Norway.
Hans-Peter MartiDepartment of Clinical Medicine, University of Bergen, Bergen, Norway.
Janka BabickovaDepartment of Clinical Medicine, University of Bergen, Bergen, Norway.
Sigrid NakkenDepartment of Clinical Medicine, University of Bergen, Bergen, Norway.
Sabine LehDepartment of Clinical Medicine, University of Bergen, Bergen, Norway.
Thea A S HaldenDepartment of Transplantation Medicine, Oslo University Hospital, Rikshospitalet and University of Oslo, Oslo, Norway.
Trond JenssenDepartment of Transplantation Medicine, Oslo University Hospital, Rikshospitalet and University of Oslo, Oslo, Norway.
Bjørn Egil VikseDepartment of Clinical Medicine, University of Bergen, Bergen, Norway.
Anders ÅsbergDepartment of Transplantation Medicine, Oslo University Hospital, Rikshospitalet and University of Oslo, Oslo, Norway.
Giulio SpagnoliInstitute of Translational Pharmacology, National Research Council, Rome, Italy.
Jessica FurriolDepartment of Clinical Medicine, University of Bergen, Bergen, Norway. Jessica.furriol@gmail.com.ORCID http://orcid.org/0000-0002-8842-534X
Haukeland University Hospital · NOOslo University Hospital · NOUniversity of Bergen · NOIstituto di Farmacologia Traslazionale · ITPrivatsykehuset Haugesund · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes mellitus (DM), either preexisting or developing after transplantation, remains a crucial clinical problem in kidney transplantation. To obtain insights into the molecular mechanisms underlying PTDM development and early glomerular damage before the development of histologically visible diabetic kidney disease, we comparatively analysed the proteome of histologically normal glomeruli from patients with PTDM and normoglycaemic (NG) transplant recipients. Moreover, to assess specificities inherent in PTDM, we also comparatively evaluated glomerular proteomes from transplant recipients with preexisting type 2 DM (T2DM).

methodsProtocol biopsies were obtained from adult NG, PTDM and T2DM patients one year after kidney transplantation. Biopsies were formalin-fixed and embedded in paraffin, and glomerular cross-sections were microdissected. A total of 4 NG, 7 PTDM and 6 T2DM kidney biopsies were used for the analysis. The proteome was determined by liquid chromatography-tandem mass spectrometry. Relative differences in protein abundance and significantly dysregulated pathways were analysed.

resultsProteins involved in cell adhesion, immune response, leukocyte transendothelial filtration, and cell localization and organization were less abundant in glomeruli from PTDM patients than in those from NG patients, and proteins associated with supramolecular fibre organization and protein-containing complex binding were more abundant in PTDM patients. Overall, proteins related to adherens and tight junctions and those related to the immune system, including leukocyte transendothelial migration, were more abundant in NG patients than in transplanted patients with DM, irrespective of the timing of its development. However, proteins included in cell‒cell junctions and adhesion, insulin resistance, and vesicle-mediated transport were all less abundant in PTDM patients than in T2DM patients.

conclusionsThe glomerular proteome profile differentiates PTDM from NG and T2DM, suggesting specific pathogenetic mechanisms. Further studies are warranted to validate these results, potentially leading to an improved understanding of PTDM kidney transplant pathophysiology and to the identification of novel biomarkers.

Indexed as

Diabetes Mellitus, Type 2Diabetic NephropathiesKidney TransplantationAdultAllograftsHumansKidneyProteomeProteomicsProteomeKidneyProteomicsPTDMT2DMTissue transplantation

Identifiers

PMID37626301
PMCPMC10464146
OpenAlexW4386168540

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.