Evidence map›Paper›PMID 40325372›Full record

ArticleClinical proteomics2025

Longitudinal serum proteomics identifies inflammatory and metabolic pathways in hypertensive nephrosclerosis progression.

Ole Petter Nordbø, Øystein Eikrem, Philip A Kalra, Hans-Peter Marti, Jessica Furriol

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 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. Article
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

5 authors.

Ole Petter NordbøDepartment of Clinical Medicine, University of Bergen, Bergen, Norway. olepetternordbo@gmail.com.
Øystein EikremDepartment of Clinical Medicine, University of Bergen, Bergen, Norway.
Philip A KalraDepartment of Nephrology, Salford Royal Hospital, Northern Care Alliance NHS Foundation Trust, Salford, UK.
Hans-Peter MartiDepartment of Clinical Medicine, University of Bergen, Bergen, Norway.
Jessica FurriolDepartment of Clinical Medicine, University of Bergen, Bergen, Norway.

Funding

Helse Vest F-12559
6 · The paper itself

Abstract

backgroundHypertensive nephrosclerosis (HN) is a major cause of end-stage renal disease; however, few longitudinal studies have employed serum proteomics to document its progression. This study aimed to identify potential circulating biomarkers indicative of disease progression in HN by performing serum proteomic analysis at two time points in patients with progressive and stable disease.

methodsForty-one patients diagnosed with HN were recruited from the UK Salford Kidney Study, with serum samples collected at baseline and follow-up (1.5-10 years after baseline). Twenty-five patients experienced stable disease course, while 16 patients experienced progressive disease. Proteomics was performed via tandem mass tag labelling and liquid chromatography-tandem mass-spectrometry (LC-MS). Pathway analysis was performed on all significantly abundant proteins, as was network analysis of circulating proteins that are abundant in the kidney according to the Human Protein Atlas.

resultsPathway analysis revealed significant enrichment in pathways related to inflammation and infection, including complement and coagulation cascades, as well as metabolic processes in patients with disease progression. Marker abundance levels related to adhesion and the ECM were also altered in progresssive disease follow-up, compared to stable disease follow-up.

conclusionThe observed changes in inflammatory and adhesion-related pathways may offer valuable insights into the mechanisms driving HN progression and potential targets for intervention.

Identifiers

PMID40325372
PMCPMC12054191

What Socratic 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 Socratic graph.