Evidence map›Paper›PMID 31877774›Full record

ReviewInternational journal of molecular sciences2019

Urinary Peptidomic Biomarkers in Kidney Diseases.

Vittorio Sirolli, Luisa Pieroni, Lorenzo Di Liberato, Andrea Urbani, Mario Bonomini

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.2field-weighted citation impact, top 10% 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

19 citing papers in PubMed, 40 citations in OpenAlex.

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  17. Clinical quantitative MRI and the need for metrology.The British journal of radiology · 2021
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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

5 authors at 3 institutions in 1 country.

Vittorio SirolliNephrology and Dialysis Unit, Department of Medicine, G. d'Annunzio University, Chieti-Pescara, SS.Annunziata Hospital, Via dei Vestini, 66013 Chieti, Italy.
Luisa PieroniProteomics and Metabonomics Unit, IRCCS Fondazione Santa Lucia, 00179 Rome, Italy.ORCID 0000-0001-7141-1817
Lorenzo Di LiberatoNephrology and Dialysis Unit, Department of Medicine, G. d'Annunzio University, Chieti-Pescara, SS.Annunziata Hospital, Via dei Vestini, 66013 Chieti, Italy.
Andrea UrbaniInstitute of Biochemistry and Clinical Biochemistry, Università Cattolica del Sacro Cuore, 00168 Rome, Italy.
Mario BonominiNephrology and Dialysis Unit, Department of Medicine, G. d'Annunzio University, Chieti-Pescara, SS.Annunziata Hospital, Via dei Vestini, 66013 Chieti, Italy.ORCID 0000-0002-8466-6314
University of Chieti-Pescara · ITFondazione Santa Lucia · ITUniversità Cattolica del Sacro Cuore · IT

Funding

G. d'Annunzio University of Chieti-Pescara, Italy ex 60% 2018
6 · The paper itself

Abstract

In order to effectively develop personalized medicine for kidney diseases we urgently need to develop highly accurate biomarkers for use in the clinic, since current biomarkers of kidney damage (changes in serum creatinine and/or urine albumin excretion) apply to a later stage of disease, lack accuracy, and are not connected with molecular pathophysiology. Analysis of urine peptide content (urinary peptidomics) has emerged as one of the most attractive areas in disease biomarker discovery. Urinary peptidome analysis allows the detection of short and long-term physiological or pathological changes occurring within the kidney. Urinary peptidomics has been applied extensively for several years now in renal patients, and may greatly improve kidney disease management by supporting earlier and more accurate detection, prognostic assessment, and prediction of response to treatment. It also promises better understanding of kidney disease pathophysiology, and has been proposed as a "liquid biopsy" to discriminate various types of renal disorders. Furthermore, proteins being the major drug targets, peptidome analysis may allow one to evaluate the effects of therapies at the protein signaling pathway level. We here review the most recent findings on urinary peptidomics in the setting of the most common kidney diseases.

Indexed as

BiomarkersHumansKidney DiseasesMass SpectrometryPeptidesPrecision MedicineProteomicsUrinalysisBiomarkersPeptidesbiomarkerCKDclinical proteomicskidneymass spectrometrypeptidomicsurine

Identifiers

PMID31877774
PMCPMC6982248
OpenAlexW2994636377

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.