Evidence map›Paper›PMID 39061002›Full record

ArticleBMC immunology2024

Multiplex array analysis of circulating cytokines and chemokines in COVID-19 patients during the first wave of the SARS-CoV-2 pandemic in Milan, Italy.

Estefanía Calvo-Alvarez, Sarah D'Alessandro, Nunzia Zanotta, Nicoletta Basilico, Silvia Parapini, Lucia Signorini, Federica Perego, Kevin Kamau Maina, Pasquale Ferrante, Annalisa Modenese and 4 more

Abstract read
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Article in BMC immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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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

14 authors.

Estefanía Calvo-AlvarezDepartment of Pharmacological and Biomedical Sciences, Università degli Studi di Milano, Via Carlo Pascal, 36, Milano, 20133, Italy.
Sarah D'AlessandroDepartment of Pharmacological and Biomedical Sciences, Università degli Studi di Milano, Via Carlo Pascal, 36, Milano, 20133, Italy. sarah.dalessandro@unimi.it.
Nunzia ZanottaDepartment of Advanced Translational Microbiology, Institute for Maternal and Child Health-IRCCS Burlo Garofolo, Via dell'Istria, 65, Trieste, 34137, Italy.
Nicoletta BasilicoDepartment of Biomedical, Surgical and Dental Sciences, Università degli Studi di Milano, Via Carlo Pascal, 36, Milano, 20133, Italy.
Silvia ParapiniDepartment of Biomedical Sciences for Health, Università degli Studi di Milano, Via Carlo Pascal, 36, Milano, 20133, Italy.
Lucia SignoriniDepartment of Biomedical, Surgical and Dental Sciences, Università degli Studi di Milano, Via Carlo Pascal, 36, Milano, 20133, Italy.
Federica PeregoDepartment of Biomedical, Surgical and Dental Sciences, Università degli Studi di Milano, Via Carlo Pascal, 36, Milano, 20133, Italy.
Kevin Kamau MainaDepartment of Biomedical, Surgical and Dental Sciences, Università degli Studi di Milano, Via Carlo Pascal, 36, Milano, 20133, Italy.
Pasquale FerranteDepartment of Biomedical, Surgical and Dental Sciences, Università degli Studi di Milano, Via Carlo Pascal, 36, Milano, 20133, Italy.
Annalisa ModeneseIstituto Clinico Città Studi, Via Ampere, 47, Milano, 20133, Italy.
Pierluigi PizzocriIstituto Clinico Città Studi, Via Ampere, 47, Milano, 20133, Italy.
Andrea RonsivalleIstituto Clinico Città Studi, Via Ampere, 47, Milano, 20133, Italy.
Serena DelbueDepartment of Biomedical, Surgical and Dental Sciences, Università degli Studi di Milano, Via Carlo Pascal, 36, Milano, 20133, Italy.
Manola ComarDepartment of Advanced Translational Microbiology, Institute for Maternal and Child Health-IRCCS Burlo Garofolo, Via dell'Istria, 65, Trieste, 34137, Italy.

Funding

Ministero dell'Università e della Ricerca 2022Y8FZCPthe NextGeneration EU-MUR PNRR Extended Partnership initiative PE00000007, INF-ACTUniversità degli Studi di Milano GSA-IDEA project
6 · The paper itself

Abstract

backgroundThe systemic inflammatory syndrome called "cytokine storm" has been described in COVID-19 pathogenesis, contributing to disease severity. The analysis of cytokine and chemokine levels in the blood of 21 SARS-CoV-2 positive patients throughout the phases of the pandemic has been studied to understand immune response dysregulation and identify potential disease biomarkers for new treatments. The present work reports the cytokine and chemokine levels in sera from a small cohort of individuals primarily infected with SARS-CoV-2 during the first wave of the COVID-19 pandemic in Milan (Italy).

resultsAmong the 27 cytokines and chemokines investigated, a significant higher expression of Interleukin-9 (IL-9), IP-10 (CXCL10), MCP-1 (CCL2) and RANTES (CCL-5) in infected patients compared to uninfected subjects was observed. When the change in cytokine/chemokine levels was monitored over time, from the hospitalization day to discharge, only IL-6 and IP-10 showed a significant decrease. Consistent with these findings, a significant negative correlation was observed between IP-10 and anti-Spike IgG antibodies in infected individuals. In contrast, IL-17 was positively correlated with the production of IgG against SARS-CoV-2.

conclusionsThe cytokine storm and the modulation of cytokine levels by SARS-CoV-2 infection are hallmarks of COVID-19. The current global immunity profile largely stems from widespread vaccination campaigns and previous infection exposures. Consequently, the immunological features and dynamic cytokine profiles of non-vaccinated and primarily-infected subjects reported here provide novel insights into the inflammatory immune landscape in the context of SARS-CoV-2 infection, and offer valuable knowledge for addressing future viral infections and the development of novel treatments.

Indexed as

COVID-19CytokinesMicroarray AnalysisAgedAged, 80 and overAntibodies, ViralChemokinesCOVID-19 Drug TreatmentHumansImmunoglobulin GItalyMaleMiddle AgedReceptors, CytokineTh1 CellsTh2 CellsAntibodies, ViralChemokinesCytokinesImmunoglobulin GReceptors, CytokineAnti-SARS-CoV-2 IgGCOVID-19Primarily-infected subjectsSARS-CoV-2Serum cytokine/chemokines levels

Identifiers

PMID39061002
PMCPMC11282750

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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.