Evidence map›Paper›PMID 37773180›Full record

ArticleNature communications2023

Targeting Toll-like receptor-driven systemic inflammation by engineering an innate structural fold into drugs.

Ganna Petruk, Manoj Puthia, Firdaus Samsudin, Jitka Petrlova, Franziska Olm, Margareta Mittendorfer, Snejana Hyllén, Dag Edström, Ann-Charlotte Strömdahl, Carl Diehl and 6 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. The RNA methyltransferase NSUN2 catalyzes 5-methylcytosine (mThe Journal of biological chemistry · 2026
    Article
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 3 institutions in 2 countries.

Ganna Petruk *Division of Dermatology and Venereology, Department of Clinical Sciences, Lund University, SE-22184, Lund, Sweden. ganna.petruk@med.lu.se.ORCID http://orcid.org/0000-0003-1336-2900
Manoj Puthia *Division of Dermatology and Venereology, Department of Clinical Sciences, Lund University, SE-22184, Lund, Sweden.ORCID http://orcid.org/0000-0001-6048-7234
Firdaus SamsudinBioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore, 138671, Singapore.
Jitka PetrlovaDivision of Dermatology and Venereology, Department of Clinical Sciences, Lund University, SE-22184, Lund, Sweden.ORCID http://orcid.org/0000-0002-7554-3945
Franziska OlmDepartment of Clinical Sciences, Lund University, SE-22184, Lund, Sweden.ORCID http://orcid.org/0000-0001-5222-6130
Margareta MittendorferDepartment of Clinical Sciences, Lund University, SE-22184, Lund, Sweden.
Snejana HyllénDepartment of Clinical Sciences, Lund University, SE-22184, Lund, Sweden.ORCID http://orcid.org/0000-0003-1253-4969
Dag EdströmDepartment of Clinical Sciences, Lund University, SE-22184, Lund, Sweden.
Ann-Charlotte StrömdahlDivision of Dermatology and Venereology, Department of Clinical Sciences, Lund University, SE-22184, Lund, Sweden.
Carl DiehlSARomics Biostructures AB, Medicon Village, SE-22381, Lund, Sweden.
Simon EkströmBioMS - Swedish National Infrastructure for Biological Mass Spectrometry, SE-22184, Lund, Sweden.ORCID http://orcid.org/0000-0002-7694-285X
Björn WalseSARomics Biostructures AB, Medicon Village, SE-22381, Lund, Sweden.ORCID http://orcid.org/0000-0003-1513-9040
Sven KjellströmDivision of Mass Spectrometry, Department of Clinical Sciences, Lund University, SE-22184, Lund, Sweden.ORCID http://orcid.org/0000-0003-4646-5279
Peter J BondBioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore, 138671, Singapore.ORCID http://orcid.org/0000-0003-2900-098X
Sandra LindstedtDepartment of Clinical Sciences, Lund University, SE-22184, Lund, Sweden.
Artur SchmidtchenDivision of Dermatology and Venereology, Department of Clinical Sciences, Lund University, SE-22184, Lund, Sweden.ORCID http://orcid.org/0000-0001-9209-3141
Lund University · SEAgency for Science, Technology and Research · SGMedicon Village · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a clinical need for conceptually new treatments that target the excessive activation of inflammatory pathways during systemic infection. Thrombin-derived C-terminal peptides (TCPs) are endogenous anti-infective immunomodulators interfering with CD14-mediated TLR-dependent immune responses. Here we describe the development of a peptide-based compound for systemic use, sHVF18, expressing the evolutionarily conserved innate structural fold of natural TCPs. Using a combination of structure- and in silico-based design, nuclear magnetic resonance spectroscopy, biophysics, mass spectrometry, cellular, and in vivo studies, we here elucidate the structure, CD14 interactions, protease stability, transcriptome profiling, and therapeutic efficacy of sHVF18. The designed peptide displays a conformationally stabilized, protease resistant active innate fold and targets the LPS-binding groove of CD14. In vivo, it shows therapeutic efficacy in experimental models of endotoxin shock in mice and pigs and increases survival in mouse models of systemic polymicrobial infection. The results provide a drug class based on Nature´s own anti-infective principles.

Indexed as

LipopolysaccharidesToll-Like ReceptorsAnimalsInflammationLipopolysaccharide ReceptorsMicePeptide HydrolasesPeptidesSwineLipopolysaccharide ReceptorsLipopolysaccharidesPeptide HydrolasesPeptidesToll-Like Receptors

Identifiers

PMID37773180
PMCPMC10541425
OpenAlexW4387187371

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.