Evidence map›Paper›PMID 39728625›Full record

ArticleMethods and protocols2024

Formalin and 2.5% Glutaraldehyde/2% Paraformaldehyde in 0.1 M Cacodylate Buffer Inactivation Protocols to Ensure the Proper Fixation of Positive Sense RNA Viruses and Genomic Material Prior to Removal from Containment.

Lauren E Panny, Ashley E Piper, Christina L Gardner, Crystal W Burke

Abstract read
In one paragraph

Article in Methods and protocols, 2024. 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
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.

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

4 authors.

Lauren E PannyVirology Division, United States Army Medical Research Institute of Infectious Diseases (USAMRIID), Fort Detrick, Frederick, MD 21702, USA.ORCID 0000-0002-3318-8973
Ashley E PiperVirology Division, United States Army Medical Research Institute of Infectious Diseases (USAMRIID), Fort Detrick, Frederick, MD 21702, USA.
Christina L GardnerVirology Division, United States Army Medical Research Institute of Infectious Diseases (USAMRIID), Fort Detrick, Frederick, MD 21702, USA.ORCID 0000-0002-3475-8966
Crystal W BurkeVirology Division, United States Army Medical Research Institute of Infectious Diseases (USAMRIID), Fort Detrick, Frederick, MD 21702, USA.ORCID 0000-0001-8734-8912

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recommendations released by the CDC in 2023 address the need to demonstrate that the RNA genome of positive-strand RNA viruses is inactivated in addition to viral particles. This recommendation is in response to the similarities between host mRNA and the viral genome that allow the viral RNA to be used as a template by host replication mechanisms to produce infectious viruses; therefore, there is concern that through artificial introduction into host cells, active positive-strand RNA genomes can be utilized to produce infectious viruses out of a containment facility. Utilizing 10% formalin for 7 days or 2.5% glutaraldehyde/2% paraformaldehyde in 0.1 M cacodylate buffer (glut/PFA) for 2 days to fix eastern equine encephalitis virus (EEEV)-infected non-human primate (NHP) brain tissue was found to effectively inactivate EEEV particles and genomic RNA. The methods assessed in this paper outline an effective means to validate both genomic RNA and viral particle inactivation.

Indexed as

eastern equine encephalitis virusEEEVformalinglut/PFAinactivationpositive-strand RNA virusvalidation

Identifiers

PMID39728625
PMCPMC11676695

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.