Evidence map›Paper›PMID 38706870›Full record

ArticleiScience2024

Functional diversification of innate and inflammatory immune responses mediated by antibody fragment crystallizable activities against SARS-CoV-2.

Martina Severa, Marilena Paola Etna, Emanuele Andreano, Daniela Ricci, Giada Cairo, Stefano Fiore, Andrea Canitano, Andrea Cara, Paola Stefanelli, Rino Rappuoli and 2 more

Abstract read
In one paragraph

Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

12 authors.

Martina SeveraDepartment of Infectious Diseases, Istituto Superiore di Sanità, 00161 Rome, Italy.
Marilena Paola EtnaDepartment of Infectious Diseases, Istituto Superiore di Sanità, 00161 Rome, Italy.
Emanuele AndreanoMonoclonal Antibody Discovery Lab, Fondazione Toscana Life Sciences, 53100 Siena, Italy.
Daniela RicciDepartment of Infectious Diseases, Istituto Superiore di Sanità, 00161 Rome, Italy.
Giada CairoDepartment of Infectious Diseases, Istituto Superiore di Sanità, 00161 Rome, Italy.
Stefano FioreDepartment of Infectious Diseases, Istituto Superiore di Sanità, 00161 Rome, Italy.
Andrea CanitanoNational Center for Global Health, Istituto Superiore di Sanità, 00161 Rome, Italy.
Andrea CaraNational Center for Global Health, Istituto Superiore di Sanità, 00161 Rome, Italy.
Paola StefanelliDepartment of Infectious Diseases, Istituto Superiore di Sanità, 00161 Rome, Italy.
Rino RappuoliDepartment of Biotechnology, Chemistry and Pharmacy, University of Siena, 53100 Siena, Italy.
Anna Teresa PalamaraDepartment of Infectious Diseases, Istituto Superiore di Sanità, 00161 Rome, Italy.
Eliana Marina CocciaDepartment of Infectious Diseases, Istituto Superiore di Sanità, 00161 Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monoclonal antibodies (mAb) targeting the SARS-CoV-2 Spike (S) glycoprotein have been exploited for the treatment of severe COVID-19. In this study, we evaluated the immune-regulatory features of two neutralizing anti-S mAbs (nAbs), named J08 and F05, with wild-type (WT) conformation or silenced Fc functions. In the presence of D614G SARS-CoV-2, WT nAbs enhance intracellular viral uptake in immune cells and amplify antiviral type I Interferon and inflammatory cytokine and chemokine production without viral replication, promoting the differentiation of CD16

Indexed as

Immune responseImmunologyVirology

Identifiers

PMID38706870
PMCPMC11068556

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.