Evidence map›Paper›PMID 37817942›Full record

ArticleiScience2023

Selective protein aggregation confines and inhibits endotoxins in wounds: Linking host defense to amyloid formation.

Jitka Petrlova, Erik Hartman, Ganna Petruk, Jeremy Chun Hwee Lim, Sunil Shankar Adav, Sven Kjellström, Manoj Puthia, Artur Schmidtchen

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

8 authors at 2 institutions in 2 countries.

Jitka PetrlovaDivision of Dermatology and Venereology, Department of Clinical Sciences, Lund University, 22184 Lund, Sweden.
Erik HartmanDivision of Dermatology and Venereology, Department of Clinical Sciences, Lund University, 22184 Lund, Sweden.
Ganna PetrukDivision of Dermatology and Venereology, Department of Clinical Sciences, Lund University, 22184 Lund, Sweden.
Jeremy Chun Hwee LimDivision of Dermatology and Venereology, Department of Clinical Sciences, Lund University, 22184 Lund, Sweden.
Sunil Shankar AdavSchool of Materials Science and Engineering, Nanyang Technological University, Singapore, Singapore.
Sven KjellströmDepartment of Clinical Sciences, BioMS, Lund University, Lund, Sweden.
Manoj PuthiaDivision of Dermatology and Venereology, Department of Clinical Sciences, Lund University, 22184 Lund, Sweden.
Artur SchmidtchenDivision of Dermatology and Venereology, Department of Clinical Sciences, Lund University, 22184 Lund, Sweden.
Lund University · SENanyang Technological University · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial lipopolysaccharide (LPS) induces rapid protein aggregation in human wound fluid. We aimed to characterize these LPS-induced aggregates and their functional implications using a combination of mass spectrometry analyses, biochemical assays, biological imaging, cell experiments, and animal models. The wound-fluid aggregates encompass diverse protein classes, including sequences from coagulation factors, annexins, histones, antimicrobial proteins/peptides, and apolipoproteins. We identified proteins and peptides with a high aggregation propensity and verified selected components through Western blot analysis. Thioflavin T and Amytracker staining revealed amyloid-like aggregates formed after exposure to LPS

Indexed as

Bacteriologycell biologyImmunology

Identifiers

PMID37817942
PMCPMC10561040
OpenAlexW4386859135

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.