Evidence map›Paper›PMID 41303427›Full record

ArticleInternational journal of molecular sciences2025

Glycosylation Variability of Serum α1-Acid Glycoprotein in the Context of Developing Inflammation and Oxidative Stress in Patients with Severe COVID-19.

Ewa Maria Kratz, Patrycja Kossakowska, Izabela Kokot, Violetta Dymicka-Piekarska

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Ewa Maria KratzDivision of Laboratory Diagnostics, Department of Laboratory Diagnostics, Wroclaw Medical University, Borowska Street 211A, 50-556 Wroclaw, Poland.ORCID 0000-0003-2948-4574
Patrycja KossakowskaDivision of Laboratory Diagnostics, Department of Laboratory Diagnostics, Wroclaw Medical University, Borowska Street 211A, 50-556 Wroclaw, Poland.
Izabela KokotDivision of Laboratory Diagnostics, Department of Laboratory Diagnostics, Wroclaw Medical University, Borowska Street 211A, 50-556 Wroclaw, Poland.ORCID 0000-0002-3711-8614
Violetta Dymicka-PiekarskaDepartment of Clinical Laboratory Diagnostics, Medical University of Bialystok, Waszyngtona Street 15A, 15-269 Bialystok, Poland.

Funding

This research was financed through a subsidy by the Polish Ministry of Health. SUBZ.D270.24.072 and B.SUB.25.323
6 · The paper itself

Abstract

In COVID-19 (coronavirus disease 2019), multi-organ complications depend on the immune system's activity. α1-Acid glycoprotein (AGP) is a highly glycosylated positive acute-phase protein having multifaceted immunomodulatory and protective effects. We were interested in changes in serum AGP concentrations, expression of its glycans, and oxidation-reduction potential (ORP) between severe COVID-19 patients, convalescents, and healthy controls, and whether any of the analyzed parameters could serve as an additional diagnostic biomarker of severe COVID-19 and/or help monitor recovery. We were also interested in associations between the examined parameters. AGP concentrations were measured using an immunoturbidimetric method. The profile and degree of AGP glycosylation were analyzed using lectin-ELISA with lectins: sialo-specific from

Indexed as

COVID-19InflammationOrosomucoidOxidative StressAdultAgedBiomarkersCase-Control StudiesFemaleGlycosylationHumansMaleMiddle AgedOxidation-ReductionPolysaccharidesSARS-CoV-2BiomarkersOrosomucoidPolysaccharidesCOVID-19 (coronavirus disease 2019)inflammationlectin-ELISAoxidation-reduction potentialserum AGP (α1-acid glycoprotein) glycosylation

Identifiers

PMID41303427
PMCPMC12651980

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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.