Evidence map›Paper›PMID 33012981›Full record

ArticleCanadian journal of veterinary research = Revue canadienne de recherche veterinaire2020

A potential approach for assessing the quality of human and nonhuman adenoviral vector preparations.

Ekramy E Sayedahmed, Suresh K Mittal

Open access · greenAbstract read
In one paragraph

Article in Canadian journal of veterinary research = Revue canadienne de recherche veterinaire, 2020. 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
0.4field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Nested PCR Detection ofVeterinary sciences · 2022
    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

2 authors at 1 institution in 1 country.

Ekramy E SayedahmedDepartment of Comparative Pathobiology, Purdue Institute for Immunology, Inflammation and Infectious Disease and Purdue University Center for Cancer Research, College of Veterinary Medicine, Purdue University, West Lafayette, Indiana 47907, USA.
Suresh K MittalDepartment of Comparative Pathobiology, Purdue Institute for Immunology, Inflammation and Infectious Disease and Purdue University Center for Cancer Research, College of Veterinary Medicine, Purdue University, West Lafayette, Indiana 47907, USA.
Purdue University West Lafayette · US

Funding

Adenoviral Vector-based Pandemic Influenza VaccineR01AI059374 · NIAID · PURDUE UNIVERSITY WEST LAFAYETTE · PI SURESH K MITTAL · 2005 to 2026
$5.0M
NIAID NIH HHS R01 AI059374
6 · The paper itself

Abstract

Various types of human and nonhuman adenoviral (AdV) vectors are being used as gene delivery vectors in preclinical and clinical investigations. The objective of this study was to determine the ratio between the 2 best assays that would effectively address the variability in the titration of various AdV vectors in different cell lines and help obtain consistent results in preclinical and clinical studies using different AdV vectors. Here, we compared plaque-forming units, tissue culture infectious dose 50, focus-forming units (FFU), virus particle (VP) count, and genome copy number (GCN) of purified preparations of human AdV type C5, bovine AdV type 3, and porcine AdV type 3 to determine a correlation between infectious and noninfectious virus particles. Our results suggest that a VP:FFU or a VP:GCN ratio could accurately reflect the quality of an AdV preparation and could serve as an indicator to control batch-to-batch variability.

Indexed as

Genetic VectorsAdenoviridaeAnimalsCell LineGenetic TherapyHumans

Identifiers

PMID33012981
PMCPMC7491003
OpenAlexW3089876198

What OpenQuestion holds

Textmetadata
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.