Evidence map›Paper›PMID 36979555›Full record

ArticleBiosensors2023

Tigecycline Immunodetection Using Developed Group-Specific and Selective Antibodies for Drug Monitoring Purposes.

Inna A Galvidis, Yury A Surovoy, Sergei V Tsarenko, Maksim A Burkin

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Article in Biosensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Inna A GalvidisI. Mechnikov Research Institute for Vaccines and Sera, Moscow 105064, Russia.ORCID 0000-0001-6442-7343
Yury A SurovoyI. Mechnikov Research Institute for Vaccines and Sera, Moscow 105064, Russia.
Sergei V TsarenkoFaculty of Medicine, M.V. Lomonosov Moscow State University, Moscow 119991, Russia.
Maksim A BurkinI. Mechnikov Research Institute for Vaccines and Sera, Moscow 105064, Russia.ORCID 0000-0003-1946-430X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tigecycline (TGC), a third-generation tetracycline, is characterized by a more potent and broad antibacterial activity, and the ability to overcome different mechanisms of tetracycline resistance. TGC has proven to be of value in treatment of multidrug-resistant infections, but therapy can be complicated by multiple dangerous side effects, including direct drug toxicity. Given that, a TGC immunodetection method has been developed for therapeutic drug monitoring to improve the safety and efficacy of therapy. The developed indirect competitive ELISA utilized TGC selective antibodies and group-specific antibodies interacting with selected coating TGC conjugates. Both assay systems showed high sensitivity (IC50) of 0.23 and 1.59 ng/mL, and LOD of 0.02 and 0.05 ng/mL, respectively. Satisfactory TGC recovery from the spiked blood serum of healthy volunteers was obtained in both assays and laid in the range of 81-102%. TGC concentrations measured in sera from COVID-19 patients with secondary bacterial infections were mutually confirmed by ELISA based on the other antibody-antigen interaction and showed good agreement (R

Indexed as

COVID-19Drug MonitoringAnti-Bacterial AgentsAntibodiesHumansMicrobial Sensitivity TestsTigecyclineAnti-Bacterial AgentsAntibodiesTigecyclineELISAgroup and selective specificitypharmacokineticstherapeutic drug monitoringtigecycline

Identifiers

PMID36979555
PMCPMC10046529

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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.