Evidence map›Paper›PMID 37629176›Full record

ArticleInternational journal of molecular sciences2023

Predictive Role of Cytokine and Adipokine Panel in Hospitalized COVID-19 Patients: Evaluation of Disease Severity, Survival and Lung Sequelae.

Laura Bergantini, Miriana d'Alessandro, Sara Gangi, Francesco Bianchi, Paolo Cameli, Beatrice Perea, Martina Meocci, Gaia Fabbri, Sofia Marrucci, Moftah Ederbali and 1 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.1field-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

6 citing papers in PubMed, 10 citations in OpenAlex.

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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 1 country.

Laura BergantiniRespiratory Disease and Lung Transplant Unit, Department of Medical Science, Surgery and Neurosciences, Siena University, 53100 Siena, Italy.ORCID 0000-0002-1118-3223
Miriana d'AlessandroRespiratory Disease and Lung Transplant Unit, Department of Medical Science, Surgery and Neurosciences, Siena University, 53100 Siena, Italy.ORCID 0000-0002-2368-5722
Sara GangiRespiratory Disease and Lung Transplant Unit, Department of Medical Science, Surgery and Neurosciences, Siena University, 53100 Siena, Italy.
Francesco BianchiPneumology Department, Azienda USL Toscana Sud-Est, "Misericordia" Hospital, 58100 Grosseto, Italy.ORCID 0000-0002-9725-8109
Paolo CameliRespiratory Disease and Lung Transplant Unit, Department of Medical Science, Surgery and Neurosciences, Siena University, 53100 Siena, Italy.ORCID 0000-0001-8639-2882
Beatrice PereaRespiratory Disease and Lung Transplant Unit, Department of Medical Science, Surgery and Neurosciences, Siena University, 53100 Siena, Italy.
Martina MeocciRespiratory Disease and Lung Transplant Unit, Department of Medical Science, Surgery and Neurosciences, Siena University, 53100 Siena, Italy.
Gaia FabbriRespiratory Disease and Lung Transplant Unit, Department of Medical Science, Surgery and Neurosciences, Siena University, 53100 Siena, Italy.
Sofia MarrucciRespiratory Disease and Lung Transplant Unit, Department of Medical Science, Surgery and Neurosciences, Siena University, 53100 Siena, Italy.
Moftah EderbaliRespiratory Disease and Lung Transplant Unit, Department of Medical Science, Surgery and Neurosciences, Siena University, 53100 Siena, Italy.
Elena BargagliRespiratory Disease and Lung Transplant Unit, Department of Medical Science, Surgery and Neurosciences, Siena University, 53100 Siena, Italy.ORCID 0000-0002-8351-3703
University of Siena · ITOspedale Misericordia - Grosseto · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) may determine a multisystemic chronic syndrome after resolution of SARS-CoV-2 infection in a significant percentage of patients. Persistent cytokine dysregulation can contribute to long-lasting inflammation and tissue damage, resulting in the diverse, often debilitating symptoms experienced by some patients (so-called long COVID syndrome). The aim of our study was to evaluate the value of a panel of serum biomarkers of severity and prognosis in patients hospitalized for COVID-19 and also as predictive factors for the development of post-COVID lung sequelae after discharge from the hospital. All blood sampling was performed in the first 24 h after admission to the hospital. Serum analyte concentrations of IL-4, IL-2, CXCL10 (IP-10), IL-1β, TNF-α, CCL2 (MCP-1), IL-17A, IL-6, IL-10, IFN-γ, IL-12p70 and TGF-β1 were quantified by bead-based multiplex LEGENDplex™ analysis and commercially available ELISA kits. A total of 108 COVID-19 patients were enrolled in the study. Comparative analysis of these proteins showed higher levels of TGF-β and IL-6 and lower levels of RBP-4 and IL-10 in the severe group. Age, adiponectin, IL-8 and IL-32 resulted as the best predictors for survival. Moreover, IL-1β, IL17A, TNF-α, TGF-β, IL-4 and IL-6 were significantly higher in patients who showed HRCT evidence of fibrotic interstitial alterations at follow-up than patients who did not. The initial inflammatory status of patients on admission to the hospital with COVID-19, as reflected by the present panel of adipose tissue-related biomarkers and cytokines, offered insights into medium-term prognosis.

Indexed as

COVID-19CytokinesAdipokinesHumansInterleukin-10Interleukin-4Interleukin-6Patient AcuityPost-Acute COVID-19 SyndromeSARS-CoV-2Transforming Growth Factor betaTumor Necrosis Factor-alphaAdipokinesCytokinesInterleukin-10Interleukin-4Interleukin-6Transforming Growth Factor betaTumor Necrosis Factor-alphaadipokineCOVID-19cytokineprofiles

Identifiers

PMID37629176
PMCPMC10455616
OpenAlexW4386029087

What Socratic 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 Socratic graph.