Evidence map›Paper›PMID 39896931›Full record

ArticleFrontiers in molecular biosciences2024

Plasma proteome fingerprint in kidney diseases.

Kirill S Nikolsky, Arthur T Kopylov, Valeriya I Nakhod, Natalia V Potoldykova, Dmitry V Enikeev, Tatiana V Butkova, Liudmila I Kulikova, Kristina A Malsagova, Vladimir R Rudnev, Denis V Petrovskiy and 2 more

Abstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2024. 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

12 authors.

Kirill S NikolskyLaboratory of Structural Proteomics, Institute of Biomedical Chemistry, Moscow, Russia.
Arthur T KopylovLaboratory of Structural Proteomics, Institute of Biomedical Chemistry, Moscow, Russia.
Valeriya I NakhodLaboratory of Structural Proteomics, Institute of Biomedical Chemistry, Moscow, Russia.
Natalia V PotoldykovaInstitute for Urology and Reproductive Health, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.
Dmitry V EnikeevInstitute for Urology and Reproductive Health, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.
Tatiana V ButkovaLaboratory of Structural Proteomics, Institute of Biomedical Chemistry, Moscow, Russia.
Liudmila I KulikovaLaboratory of Structural Proteomics, Institute of Biomedical Chemistry, Moscow, Russia.
Kristina A MalsagovaLaboratory of Structural Proteomics, Institute of Biomedical Chemistry, Moscow, Russia.
Vladimir R RudnevLaboratory of Structural Proteomics, Institute of Biomedical Chemistry, Moscow, Russia.
Denis V PetrovskiyLaboratory of Structural Proteomics, Institute of Biomedical Chemistry, Moscow, Russia.
Alexander A IzotovLaboratory of Structural Proteomics, Institute of Biomedical Chemistry, Moscow, Russia.
Anna L KayshevaLaboratory of Structural Proteomics, Institute of Biomedical Chemistry, Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Kidney diseases pose a serious healthcare problem because of their high prevalence, worsening of patients' quality of life, and high mortality. Patients with kidney diseases are often asymptomatic until disease progression starts. Expensive renal replacement therapy options, such as dialysis or kidney transplant, are required for end-stage kidney disease. Early diagnosis of kidney pathology is crucial for slowing down or curbing further damage. This study aimed to analyze the features of the protein composition of blood plasma in patients with the most common kidney pathologies: kidney calculus, kidney cyst, and kidney cancer. Methods: The study involved 75 subjects. Proteins associated with kidney pathologies (CFB, SERPINA3, HPX, HRG, SERPING1, HBB, ORM2, and CP) were proposed. These proteins are important participants of complement and coagulation cascade activation and lipid metabolism. Results: The revealed phosphorylated proteoforms (CFB, C4A/C4B, F2, APOB, TTR, and NRAP) were identified. For them, modification sites were mapped on 3D protein models, and the potential role in formation of complexes with native partner proteins was assessed. Discussion: The study demonstrates that the selected kidney pathologies have a similar proteomic profile, and patients can be classified into kidney pathology groups with an accuracy of (70-80)%.

Indexed as

cancercandidate markerskidney calculuskidney cystkidney diseasesphosphorylationprotein analysistandem mass spectrometry

Identifiers

PMID39896931
PMCPMC11782039

What OpenQuestion 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 OpenQuestion graph.