Evidence map›Paper›PMID 32179759›Full record

ArticleScientific reports2020

Multiplexed MRM-based protein quantification of putative prognostic biomarkers for chronic kidney disease progression in plasma.

Manousos Makridakis, Georgia Kontostathi, Eleni Petra, Rafael Stroggilos, Vasiliki Lygirou, Szymon Filip, Flore Duranton, Harald Mischak, Angel Argiles, Jerome Zoidakis and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.8field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 21 citations in OpenAlex.

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  9. Basic and Preclinical Research for Personalized Medicine.Journal of personalized medicine · 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

11 authors at 2 institutions in 2 countries.

Manousos Makridakis *Biotechnology Division, Biomedical Research Foundation, Academy of Athens (BRFAA), Athens, Greece.
Georgia Kontostathi *Biotechnology Division, Biomedical Research Foundation, Academy of Athens (BRFAA), Athens, Greece.
Eleni PetraBiotechnology Division, Biomedical Research Foundation, Academy of Athens (BRFAA), Athens, Greece.
Rafael StroggilosBiotechnology Division, Biomedical Research Foundation, Academy of Athens (BRFAA), Athens, Greece.
Vasiliki LygirouBiotechnology Division, Biomedical Research Foundation, Academy of Athens (BRFAA), Athens, Greece.
Szymon FilipBiotechnology Division, Biomedical Research Foundation, Academy of Athens (BRFAA), Athens, Greece.
Flore DurantonRD-Néphrologie, Montpellier, France.
Harald MischakMosaiques Diagnostics, Hannover, Germany.
Angel ArgilesRD-Néphrologie, Montpellier, France.
Jerome ZoidakisBiotechnology Division, Biomedical Research Foundation, Academy of Athens (BRFAA), Athens, Greece.
Antonia VlahouBiotechnology Division, Biomedical Research Foundation, Academy of Athens (BRFAA), Athens, Greece. vlahoua@bioacademy.gr.
Biomedical Research Foundation of the Academy of Athens · GRMosaiques Diagnostics and Therapeutics (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current diagnostic measures for Chronic Kidney Disease (CKD) include detection of reduced estimated glomerular filtration rate (eGFR) and albuminuria, which have suboptimal accuracies in predicting disease progression. The disease complexity and heterogeneity underscore the need for multiplex quantification of different markers. The goal of this study was to determine the association of six previously reported CKD-associated plasma proteins [B2M (Beta-2-microglobulin), SERPINF1 (Pigment epithelium-derived factor), AMBP (Protein AMBP), LYZ (Lysozyme C), HBB (Hemoglobin subunit beta) and IGHA1 (Immunoglobulin heavy constant alpha 1)], as measured in a multiplex format, with kidney function, and outcome. Antibody-free, multiple reaction monitoring mass spectrometry (MRM) assays were developed, characterized for their analytical performance, and used for the analysis of 72 plasma samples from a patient cohort with longitudinal follow-up. The MRM significantly correlated (Rho = 0.5-0.9) with results from respective ELISA. Five proteins [AMBP, B2M, LYZ, HBB and SERPINF1] were significantly associated with eGFR, with the three former also associated with unfavorable outcome. The combination of these markers provided stronger associations with outcome (p < 0.0001) compared to individual markers. Collectively, our study describes a multiplex assay for absolute quantification and verification analysis of previously described putative CKD prognostic markers, laying the groundwork for further use in prospective validation studies.

Indexed as

Alpha-GlobulinsComplement C1 Inhibitor ProteinAdultAgedAged, 80 and overbeta 2-MicroglobulinBiomarkersCohort StudiesDisease ProgressionFemaleFollow-Up StudiesGlomerular Filtration RateHemoglobin SubunitsHumansLongitudinal StudiesMalealpha-1-microglobulinAlpha-GlobulinsB2M protein, humanbeta 2-MicroglobulinBiomarkersComplement C1 Inhibitor ProteinHemoglobin Subunitslysozyme C, humanMuramidaseSERPING1 protein, human

Identifiers

PMID32179759
PMCPMC7076027
OpenAlexW3012289461

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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 OpenQuestion graph.