Evidence map›Paper›PMID 34975811›Full record

ReviewFrontiers in microbiology2021

Genetic Vaccination as a Flexible Tool to Overcome the Immunological Complexity of Invasive Fungal Infections.

Laura Luberto, Bruna Neroni, Orietta Gandini, Ersilia Vita Fiscarelli, Giovanni Salvatori, Giuseppe Roscilli, Emanuele Marra

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 83% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 2 institutions in 1 country.

Laura LubertoTakis s.r.l., Rome, Italy.
Bruna NeroniCystic Fibrosis Diagnostic Section, U.O. Microbiology and Immunology Diagnostic, Department of Immunology and Laboratory Medicine, Children's Hospital Bambino Gesù Organization IRCCS, Rome, Italy.
Orietta GandiniDepartment of Molecular Medicine, Sapienza University of Rome, Rome, Italy.
Ersilia Vita FiscarelliCystic Fibrosis Diagnostic Section, U.O. Microbiology and Immunology Diagnostic, Department of Immunology and Laboratory Medicine, Children's Hospital Bambino Gesù Organization IRCCS, Rome, Italy.
Giovanni SalvatoriTakis s.r.l., Rome, Italy.
Giuseppe RoscilliTakis s.r.l., Rome, Italy.
Emanuele MarraTakis s.r.l., Rome, Italy.
Bambino Gesù Children's Hospital · ITSapienza University of Rome · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has highlighted genetic vaccination as a powerful and cost-effective tool to counteract infectious diseases. Invasive fungal infections (IFI) remain a major challenge among immune compromised patients, particularly those undergoing allogeneic hematopoietic bone marrow transplantation (HSCT) or solid organ transplant (SOT) both presenting high morbidity and mortality rates. Candidiasis and Aspergillosis are the major fungal infections among these patients and the failure of current antifungal therapies call for new therapeutic aids. Vaccination represents a valid alternative, and proof of concept of the efficacy of this approach has been provided at clinical level. This review will analyze current understanding of antifungal immunology, with a particular focus on genetic vaccination as a suitable strategy to counteract these diseases.

Indexed as

anti-fungalaspergillosisgenetic vaccinationHSCTimmunotherapyinvasive fungal infectionsSOTvaccine

Identifiers

PMID34975811
PMCPMC8715041
OpenAlexW4200137135

What OpenQuestion 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 OpenQuestion graph.