Evidence map›Paper›PMID 33562060›Full record

ArticlePharmaceutics2021

Combined Method to Remove Endotoxins from Protein Nanocages for Drug Delivery Applications: The Case of Human Ferritin.

Filippo Silva, Leopoldo Sitia, Raffaele Allevi, Arianna Bonizzi, Marta Sevieri, Carlo Morasso, Marta Truffi, Fabio Corsi, Serena Mazzucchelli

Open access · goldAbstract read
In one paragraph

Article in Pharmaceutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

11 citing papers in PubMed, 23 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

9 authors at 2 institutions in 1 country.

Filippo SilvaDipartimento di Scienze Biomediche e Cliniche "L. Sacco", Università di Milano, 20157 Milano, Italy.
Leopoldo SitiaDipartimento di Scienze Biomediche e Cliniche "L. Sacco", Università di Milano, 20157 Milano, Italy.ORCID 0000-0002-7268-4056
Raffaele AlleviDipartimento di Scienze Biomediche e Cliniche "L. Sacco", Università di Milano, 20157 Milano, Italy.ORCID 0000-0002-9904-0947
Arianna BonizziDipartimento di Scienze Biomediche e Cliniche "L. Sacco", Università di Milano, 20157 Milano, Italy.ORCID 0000-0002-5948-8747
Marta SevieriDipartimento di Scienze Biomediche e Cliniche "L. Sacco", Università di Milano, 20157 Milano, Italy.
Carlo MorassoIstituti Clinici Scientifici Maugeri IRCCS, 27100 Pavia, Italy.ORCID 0000-0001-9185-0198
Marta TruffiIstituti Clinici Scientifici Maugeri IRCCS, 27100 Pavia, Italy.ORCID 0000-0002-1095-4188
Fabio CorsiDipartimento di Scienze Biomediche e Cliniche "L. Sacco", Università di Milano, 20157 Milano, Italy.ORCID 0000-0002-6469-4086
Serena MazzucchelliDipartimento di Scienze Biomediche e Cliniche "L. Sacco", Università di Milano, 20157 Milano, Italy.ORCID 0000-0001-6904-8895
University of Milan · ITIstituti Clinici Scientifici Maugeri · IT

Funding

Italian Ministry of Health under the framework of EuroNanoMed III JTC 2018 CurcumAGE
6 · The paper itself

Abstract

Protein nanocages represent an emerging candidate among nanoscaled delivery systems. Indeed, they display unique features that proved to be very interesting from the nanotechnological point of view such as uniform structure, stability in biological fluids, suitability for surface modification to insert targeting moieties and loading with different drugs and dyes. However, one of the main concerns regards the production as recombinant proteins in

Indexed as

drug deliveryendotoxin purificationferritinprotein nanocages

Identifiers

PMID33562060
PMCPMC7915212
OpenAlexW3126845204

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.