Evidence map›Paper›PMID 32871183›Full record

ArticleLife sciences2020

Immunocytometric analysis of COVID patients: A contribution to personalized therapy?

Sara Cacciapuoti, Annunziata De Rosa, Monica Gelzo, Matteo Megna, Maddalena Raia, Biagio Pinchera, Agostina Pontarelli, Riccardo Scotto, Emanuele Scala, Francesco Scarano and 5 more

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in Life sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
0.9field-weighted citation impact, top 14% 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

26 citing papers in PubMed, 43 citations in OpenAlex.

  1. Trial
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  5. Immune Profile in COVID-19: Unveiling TInternational journal of molecular sciences · 2024
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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

15 authors at 3 institutions in 1 country.

Sara CacciapuotiDipartimento di Medicina Clinica e Chirurgia, Università di Napoli Federico II, Naples, Italy.
Annunziata De RosaDipartimento di Malattie Infettive e Emergenze Infettive, Divisione di Malattie Infettive Respiratorie, Ospedale Cotugno, AORN dei Colli, Naples, Italy.
Monica GelzoCEINGE-Biotecnologie Avanzate, Scarl, Naples, Italy; Dipartimento di Medicina Molecolare e Biotecnologie Mediche, Università di Napoli Federico II, Naples, Italy.
Matteo MegnaDipartimento di Medicina Clinica e Chirurgia, Università di Napoli Federico II, Naples, Italy.
Maddalena RaiaCEINGE-Biotecnologie Avanzate, Scarl, Naples, Italy.
Biagio PincheraDipartimento di Medicina Clinica e Chirurgia, Università di Napoli Federico II, Naples, Italy.
Agostina PontarelliDipartimento di Malattie Infettive e Emergenze Infettive, Divisione di Malattie Infettive Respiratorie, Ospedale Cotugno, AORN dei Colli, Naples, Italy.
Riccardo ScottoDipartimento di Medicina Clinica e Chirurgia, Università di Napoli Federico II, Naples, Italy.
Emanuele ScalaDipartimento di Medicina Clinica e Chirurgia, Università di Napoli Federico II, Naples, Italy.
Francesco ScaranoDipartimento di Malattie Infettive e Emergenze Infettive, Divisione di Malattie Infettive Respiratorie, Ospedale Cotugno, AORN dei Colli, Naples, Italy.
Giulia ScaliaCEINGE-Biotecnologie Avanzate, Scarl, Naples, Italy.
Giuseppe CastaldoCEINGE-Biotecnologie Avanzate, Scarl, Naples, Italy; Dipartimento di Medicina Molecolare e Biotecnologie Mediche, Università di Napoli Federico II, Naples, Italy. Electronic address: giuseppe.castaldo@unina.it.
Gabriella FabbrociniDipartimento di Medicina Clinica e Chirurgia, Università di Napoli Federico II, Naples, Italy.
Ivan GentileDipartimento di Medicina Clinica e Chirurgia, Università di Napoli Federico II, Naples, Italy.
Roberto ParrellaDipartimento di Malattie Infettive e Emergenze Infettive, Divisione di Malattie Infettive Respiratorie, Ospedale Cotugno, AORN dei Colli, Naples, Italy.
University of Naples Federico II · ITOspedale D. Cotugno · ITCeinge Biotecnologie Avanzate (Italy) · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThis study aims to cast light on immunocytometric alterations in COVID-19, a potentially fatal viral infection with heterogeneous clinical expression and a not completely defined pathophysiology.

methodsWe studied 35 COVID patients at hospital admission testing by cytofluorimetry a large panel of lymphocyte subpopulations and serum tumor necrosis factor (TNF)-α, interleukin (IL)-6, IL-17A and the soluble receptor of IL-17A (IL-17RA). KEY

findingsAt hospital admission, total lymphocytes and most T and B subpopulations were reduced in 50-80% of patients, with close relationship to disease severity. While activated T helper 1 (TH1) and TH17 cells resulted normal or higher. Serum IL-6 was increased in all patients, while TNF-α and IL-17A were higher in advanced stages. A patient subset with low severity had very high IL-17RA levels. Tocilizumab treatment caused an increase of IL-17A in 3/6 patients and a reduction in 3 others, while the lymphocyte number increased in 3 patients and did not change in the others. SIGNIFICANCE: Cytofluorimetry revealed a functional exhaustion of most lymphocyte populations in COVID patients not involving activated TH1 and TH17. Consequently, there was a relevant cytokines production that contributes to impair the respiratory inflammation. The increase of TH17 and IL-17 in a subset of cases and the evidence of a significant increase of IL-17RA (that prevents the interaction of IL-17 with the cell receptor) in patients with low severity suggest that some patients could benefit from monoclonal antibodies treatment targeting IL-17 pathway. Immunocytofluorimetric markers may contribute to a personalized therapy in COVID patients.

Indexed as

AgedAntibodies, Monoclonal, HumanizedCoronavirus InfectionsCOVID-19CytokinesFemaleFlow CytometryHumansInflammationLymphocyte CountLymphocyte SubsetsMaleMiddle AgedPandemicsPatient AdmissionPneumonia, ViralAntibodies, Monoclonal, HumanizedCytokinestocilizumabCOVID-19Lymphocyte subpopulationsSARS-CoV-2Serum cytokines

Identifiers

PMID32871183
PMCPMC7456265
OpenAlexW3080670851

What OpenQuestion holds

Textmetadata
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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 OpenQuestion graph.