Evidence map›Paper›PMID 39135941›Full record

ArticleClinical kidney journal2024

Multiomic profiling of new-onset kidney function decline: insights from the STANISLAS study cohort with a 20-year follow-up.

Vincent Dupont, Constance Xhaard, Isabelle Behm-Ansmant, Emmanuel Bresso, Quentin Thuillier, Christiane Branlant, Marilucy Lopez-Sublet, Jean-François Deleuze, Faiez Zannad, Nicolas Girerd and 1 more

Abstract read
In one paragraph

Article in Clinical kidney journal, 2024. 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. Kidney Disease as a Driver of Immunosenescence: Mechanisms and Potential Interventions.Journal of the American Society of Nephrology : JASN · 2026
    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.

Vincent DupontDepartment of Nephrology, University hospital of Reims, Reims, France.ORCID https://orcid.org/0000-0003-4264-494X
Constance XhaardFCRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists ).ORCID https://orcid.org/0000-0002-1914-2696
Isabelle Behm-AnsmantUniversité de Lorraine, CNRS, UMR 7365, IMoPA, Nancy, France.ORCID https://orcid.org/0000-0001-8909-0660
Emmanuel BressoFCRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists ).
Quentin ThuillierUniversité de Lorraine, CNRS, UMR 7365, IMoPA, Nancy, France.
Christiane BranlantUniversité de Lorraine, CNRS, UMR 7365, IMoPA, Nancy, France.
Marilucy Lopez-SubletFCRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists ).
Jean-François DeleuzeCentre National de Recherche en Génomique Humaine, Institut François Jacob, CEA, Université Paris-Saclay, Evry, France.
Faiez ZannadFCRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists ).ORCID https://orcid.org/0000-0001-7456-1570
Nicolas GirerdFCRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists ).ORCID https://orcid.org/0000-0002-3278-2057
Patrick RossignolFCRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists ).ORCID https://orcid.org/0000-0003-4470-7932

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Identifying the biomarkers associated with new-onset glomerular filtration rate (GFR) decrease in an initially healthy population could offer a better understanding of kidney function decline and help improving patient management. Methods: Here we described the proteomic and transcriptomic footprints associated with new-onset kidney function decline in an initially healthy and well-characterized population with a 20-year follow-up. This study was based on 1087 individuals from the familial longitudinal Suivi Temporaire Annuel Non-Invasif de la Santé des Lorrains Assurés Sociaux (STANISLAS) cohort who attended both visit 1 (from 1993 to 1995) and visit 4 (from 2011 to 2016). New-onset kidney function decline was approached both in quantitative (GFR slope for each individual) and qualitative (defined as a decrease in GFR of >15 ml/min/1.7 m Results: We found several proteins (including PLC, placental growth factor (PGF), members of the tumour necrosis factor receptor superfamily), genes (including Conclusions: These findings lay the foundation to further assess whether the proteins and genes herein identified may represent potential biomarkers or therapeutic targets to prevent renal function impairment.

Indexed as

glomerular filtration rateproteomictranscriptomic

Identifiers

PMID39135941
PMCPMC11317839

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.