Evidence map›Paper›PMID 34830001›Full record

ReviewInternational journal of molecular sciences2021

Urinary Protein and Peptide Markers in Chronic Kidney Disease.

Natalia Chebotareva, Anatoliy Vinogradov, Valerie McDonnell, Natalia V Zakharova, Maria I Indeykina, Sergey Moiseev, Evgeny N Nikolaev, Alexey S Kononikhin

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
4.7field-weighted citation impact, top 4% 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

27 citing papers in PubMed, 44 citations in OpenAlex.

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  13. Urinary peptide analysis to predict the response to blood pressure medication.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2024
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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

8 authors at 4 institutions in 1 country.

Natalia ChebotarevaNephrology Department, Tareev Clinic, Sechenov First Moscow State Medical University, Trubezkaya, 8, 119048 Moscow, Russia.ORCID 0000-0003-2128-8560
Anatoliy VinogradovDepartment of Internal Medicine, Lomonosov Moscow State University, GSP-1, Leninskie Gory, 119991 Moscow, Russia.
Valerie McDonnellNephrology Department, Tareev Clinic, Sechenov First Moscow State Medical University, Trubezkaya, 8, 119048 Moscow, Russia.ORCID 0000-0003-3270-2691
Natalia V ZakharovaEmanuel Institute for Biochemical Physics, Russian Academy of Science, Kosygina Str., 4, 119334 Moscow, Russia.
Maria I IndeykinaEmanuel Institute for Biochemical Physics, Russian Academy of Science, Kosygina Str., 4, 119334 Moscow, Russia.
Sergey MoiseevNephrology Department, Tareev Clinic, Sechenov First Moscow State Medical University, Trubezkaya, 8, 119048 Moscow, Russia.ORCID 0000-0002-7232-4640
Evgeny N NikolaevSkolkovo Institute of Science and Technology, Bolshoy Boulevard 30, Bld. 1, 121205 Moscow, Russia.
Alexey S KononikhinSkolkovo Institute of Science and Technology, Bolshoy Boulevard 30, Bld. 1, 121205 Moscow, Russia.ORCID 0000-0002-2238-3458
Sechenov University · RUInstitute of Biochemical Physics NM Emanuel · RUSkolkovo Institute of Science and Technology · RULomonosov Moscow State University · RU

Funding

Russian Science Foundation 21-74-20173
6 · The paper itself

Abstract

Chronic kidney disease (CKD) is a non-specific type of kidney disease that causes a gradual decline in kidney function (from months to years). CKD is a significant risk factor for death, cardiovascular disease, and end-stage renal disease. CKDs of different origins may have the same clinical and laboratory manifestations but different progression rates, which requires early diagnosis to determine. This review focuses on protein/peptide biomarkers of the leading causes of CKD: diabetic nephropathy, IgA nephropathy, lupus nephritis, focal segmental glomerulosclerosis, and membranous nephropathy. Mass spectrometry (MS) approaches provided the most information about urinary peptide and protein contents in different nephropathies. New analytical approaches allow urinary proteomic-peptide profiles to be used as early non-invasive diagnostic tools for specific morphological forms of kidney disease and may become a safe alternative to renal biopsy. MS studies of the key pathogenetic mechanisms of renal disease progression may also contribute to developing new approaches for targeted therapy.

Indexed as

BiomarkersHumansKidneyPeptidesProteinsProteinuriaProteomicsRenal Insufficiency, ChronicBiomarkersPeptidesProteinsbiomarkerschronic kidney diseaseproteomicsurine

Identifiers

PMID34830001
PMCPMC8625140
OpenAlexW3211754041

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.