Evidence map›Paper›PMID 39346813›Full record

ArticleACS omega2024

Evaluation of Fentanyl Exposure Effects on Butyrylcholinesterase Activity as a Tool for Future On-Site Detection Methods.

Vrunda Rania, Ashley Newland, Lenka Halámková, Václav Trojan, Radovan Hřib, Jan Halámek

Abstract read
In one paragraph

Article in ACS omega, 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

6 authors.

Vrunda RaniaDepartment of Environmental Toxicology, The Institute for Forensic Science, Texas Tech University, 1207 Gilbert Drive, Lubbock, Texas 79416, United States.
Ashley NewlandDepartment of Environmental Toxicology, The Institute for Forensic Science, Texas Tech University, 1207 Gilbert Drive, Lubbock, Texas 79416, United States.
Lenka HalámkováDepartment of Environmental Toxicology, The Institute for Forensic Science, Texas Tech University, 1207 Gilbert Drive, Lubbock, Texas 79416, United States.
Václav TrojanCannabis Facility, International Clinical Research Centre, St. Anne's University Hospital, Brno 60200, Czech Republic.
Radovan HřibCannabis Facility, International Clinical Research Centre, St. Anne's University Hospital, Brno 60200, Czech Republic.
Jan HalámekDepartment of Environmental Toxicology, The Institute for Forensic Science, Texas Tech University, 1207 Gilbert Drive, Lubbock, Texas 79416, United States.ORCID https://orcid.org/0000-0002-2085-5730

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prominence of fentanyl and fentanyl analogues or Fentanyl Related Substances (FRS) has driven a nationwide crisis of opioid overdoses, which significantly presents an issue for public health and safety. Originally developed for medical purposes, fentanyl and FRS have become critical contributors to opioid overdose deaths due to their distribution, availability, and potency. This study examined toxicodynamic properties between butyrylcholinesterase (BChE) and fentanyl analogues via Ellman's assay. The enzymatic function of BChE was significantly inhibited by each of the 5 fentanyl analogues tested, which indicates the potential for utilization of this interaction. This reaction can be immobilized for a portable, single-use kit to detect FRS directly from any surface on-site. This would immensely benefit society by reducing the frequency of exposure and overdoses by providing additional safety measures to law enforcement and first responders.

Identifiers

PMID39346813
PMCPMC11425806

What OpenQuestion holds

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LicenceCC BY
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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.