Evidence map›Paper›PMID 34177897›Full record

ArticleFrontiers in immunology2021

Unbiased Analysis of Temporal Changes in Immune Serum Markers in Acute COVID-19 Infection With Emphasis on Organ Failure, Anti-Viral Treatment, and Demographic Characteristics.

Krzysztof Laudanski, Hajj Jihane, Brook Antalosky, Danyal Ghani, Uyen Phan, Ruth Hernandez, Tony Okeke, Junnan Wu, Daniel Rader, Katalin Susztak

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 33 citations in OpenAlex.

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  13. The role of IL-1 family of cytokines and receptors in pathogenesis of COVID-19.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2022
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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

10 authors at 3 institutions in 1 country.

Krzysztof LaudanskiDepartment of Anesthesiology and Critical Care, The University of Pennsylvania, Philadelphia, PA, United States.
Hajj JihaneSchool of Nursing, Widener University, Philadelphia, PA, United States.
Brook AntaloskyCollege of Arts and Sciences, Drexel University, Philadelphia, PA, United States.
Danyal GhaniCollege of Arts and Sciences, Drexel University, Philadelphia, PA, United States.
Uyen PhanCollege of Arts and Sciences, Drexel University, Philadelphia, PA, United States.
Ruth HernandezCollege of Arts and Sciences, Drexel University, Philadelphia, PA, United States.
Tony OkekeSchool of Biomedical Engineering, Drexel University, Philadelphia, PA, United States.
Junnan WuDepartment of Genetics, The University of Pennsylvania, Philadelphia, PA, United States.
Daniel RaderDepartment of Genetics, The University of Pennsylvania, Philadelphia, PA, United States.
Katalin SusztakDepartment of Genetics, The University of Pennsylvania, Philadelphia, PA, United States.
Drexel University · USUniversity of Pennsylvania · USWidener University · US

Funding

Role of the Notch Pathway in Kidney InjuryR01DK076077 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI KATALIN SUSZTAK · 2007 to 2026
$8.0M
Epigenetics of Chronic Kidney DiseaseR01DK087635 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI KATALIN SUSZTAK · 2009 to 2026
$7.0M
APOL1 associated kidney diseaseR01DK105821 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI SUSZTAK, KATALIN · 2016 to 2024
$4.6M
Epigenetic mediated long-term aberrations in myeloid cells after critical illnessK23GM120630 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI LAUDANSKI, KRZYSZTOF · 2017 to 2020
$783k
NIDDK NIH HHS R01 DK076077NIDDK NIH HHS R01 DK087635NIDDK NIH HHS R01 DK105821NIGMS NIH HHS K23 GM120630
6 · The paper itself

Abstract

Identification of novel immune biomarkers to gauge the underlying pathology and severity of COVID-19 has been difficult due to the lack of longitudinal studies. Here, we analyzed serum collected upon COVID-19 admission (t1), 48 hours (t2), and seven days later (t3) using Olink proteomics and correlated to clinical, demographics, and therapeutic data. Older age positively correlated with decorin, pleiotrophin, and TNFRS21 but inversely correlated with chemokine (both C-C and C-X-C type) ligands, monocyte attractant proteins (MCP) and TNFRS14. The burden of pre-existing conditions was positively correlated with MCP-4, CAIX, TWEAK, TNFRS12A, and PD-L2 levels. Individuals with COVID-19 demonstrated increased expression of several chemokines, most notably from the C-C and C-X-C family, as well as MCP-1 and MCP-3 early in the course of the disease. Similarly, deceased individuals had elevated MCP-1 and MCP-3 as well as Gal-9 serum levels. LAMP3, GZMB, and LAG3 at admission correlated with mortality. Only CX3CL13 and MCP-4 correlated positively with APACHE score and length of stay, while decorin, MUC-16 and TNFRSF21 with being admitted to the ICU. We also identified several organ-failure-specific immunological markers, including those for respiratory (IL-18, IL-15, Gal-9) or kidney failure (CD28, VEGF). Treatment with hydroxychloroquine, remdesivir, convalescent plasma, and steroids had a very limited effect on the serum variation of biomarkers. Our study identified several potential targets related to COVID-19 heterogeneity (MCP-1, MCP-3, MCP-4, TNFR superfamily members, and programmed death-ligand), suggesting a potential role of these molecules in the pathology of COVID-19.

Indexed as

AdultAgedAged, 80 and overB7-H1 AntigenBiomarkersChemokines, CCCOVID-19COVID-19 Drug TreatmentFemaleHumansImmune SeraImmune SystemMaleMiddle AgedMonocyte Chemoattractant ProteinsSARS-CoV-2B7-H1 AntigenBiomarkersCCL23 protein, humanChemokines, CCImmune SeraMonocyte Chemoattractant ProteinsCCL23convalescent plasmaCOVID-19hydroxychloroquineMCPprogrammed deathremdesavirsteroids

Identifiers

PMID34177897
PMCPMC8226183
OpenAlexW3170356505

What OpenQuestion holds

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Registered trials

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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.