Evidence map›Paper›PMID 34991643›Full record

ArticleJournal of neuroinflammation2022

Nafamostat reduces systemic inflammation in TLR7-mediated virus-like illness.

Abi G Yates, Caroline M Weglinski, Yuxin Ying, Isobel K Dunstan, Tatyana Strekalova, Daniel C Anthony

Open access · goldAbstract read
In one paragraph

Article in Journal of neuroinflammation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

17 citing papers in PubMed, 19 citations in OpenAlex.

  1. Multicenter, single-blind, randomized controlled study of the efficacy and safety of favipiravir and nafamostat mesilate in patients with COVID-19 pneumonia.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2023
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  11. Nafamostat mesilate prevented caerulein-induced pancreatic injury by targeting HDAC6-mediated NLRP3 inflammasome activation.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2023
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  13. Effects ofFoods (Basel, Switzerland) · 2023
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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

6 authors at 4 institutions in 5 countries.

Abi G YatesDepartment of Pharmacology, The University of Oxford, Mansfield Road, Oxford, UK.
Caroline M WeglinskiDepartment of Pharmacology, The University of Oxford, Mansfield Road, Oxford, UK.
Yuxin YingDepartment of Pharmacology, The University of Oxford, Mansfield Road, Oxford, UK.
Isobel K DunstanDepartment of Pharmacology, The University of Oxford, Mansfield Road, Oxford, UK.
Tatyana StrekalovaSechenov First Moscow State Medical University, Moscow, Russia.
Daniel C AnthonyDepartment of Pharmacology, The University of Oxford, Mansfield Road, Oxford, UK. daniel.anthony@pharm.ox.ac.uk.ORCID http://orcid.org/0000-0003-1380-6655
University of Oxford · GBMansfield University · USSechenov University · RUThe University of Queensland · AU

Funding

Medical Research Council MC-PC-15029Medical Research Council MC_PC_15029
6 · The paper itself

Abstract

backgroundThe serine protease inhibitor nafamostat has been proposed as a treatment for COVID-19, by inhibiting TMPRSS2-mediated viral cell entry. Nafamostat has been shown to have other, immunomodulatory effects, which may be beneficial for treatment, however animal models of ssRNA virus infection are lacking. In this study, we examined the potential of the dual TLR7/8 agonist R848 to mimic the host response to an ssRNA virus infection and the associated behavioural response. In addition, we evaluated the anti-inflammatory effects of nafamostat in this model.

methodsCD-1 mice received an intraperitoneal injection of R848 (200 μg, prepared in DMSO, diluted 1:10 in saline) or diluted DMSO alone, and an intravenous injection of either nafamostat (100 μL, 3 mg/kg in 5% dextrose) or 5% dextrose alone. Sickness behaviour was determined by temperature, food intake, sucrose preference test, open field and forced swim test. Blood and fresh liver, lung and brain were collected 6 h post-challenge to measure markers of peripheral and central inflammation by blood analysis, immunohistochemistry and qPCR.

resultsR848 induced a robust inflammatory response, as evidenced by increased expression of TNF, IFN-γ, CXCL1 and CXCL10 in the liver, lung and brain, as well as a sickness behaviour phenotype. Exogenous administration of nafamostat suppressed the hepatic inflammatory response, significantly reducing TNF and IFN-γ expression, but had no effect on lung or brain cytokine production. R848 administration depleted circulating leukocytes, which was restored by nafamostat treatment.

conclusionsOur data indicate that R848 administration provides a useful model of ssRNA virus infection, which induces inflammation in the periphery and CNS, and virus infection-like illness. In turn, we show that nafamostat has a systemic anti-inflammatory effect in the presence of the TLR7/8 agonist. Therefore, the results indicate that nafamostat has anti-inflammatory actions, beyond its ability to inhibit TMPRSS2, that might potentiate its anti-viral actions in pathologies such as COVID-19.

Indexed as

BenzamidinesGuanidinesSerine Proteinase InhibitorsAnimalsCOVID-19COVID-19 Drug TreatmentIllness BehaviorImidazolesInflammationMaleMiceSerine EndopeptidasesToll-Like Receptor 7Virus DiseasesBenzamidinesGuanidinesImidazolesnafamostatresiquimodSerine EndopeptidasesSerine Proteinase InhibitorsTMPRSS2 protein, mouseToll-Like Receptor 7COVID-19InflammationNafamostatSickness behaviourViral infection

Identifiers

PMID34991643
PMCPMC8734544
OpenAlexW4225293112

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.