Evidence map›Paper›PMID 37546867›Full record

ArticlebioRxiv : the preprint server for biology2023

Characterization of Tigurilysin, a Novel Human CD59-Specific Cholesterol-Dependent Cytolysin, Reveals a Role for Host Specificity in Augmenting Toxin Activity.

Ifrah Shahi, Sophia A Dongas, Juliana K Ilmain, Victor J Torres, Adam J Ratner

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Ifrah ShahiNew York University Grossman School of Medicine, Department of Pediatrics, New York, NY.
Sophia A DongasNew York University Grossman School of Medicine, Department of Pediatrics, New York, NY.
Juliana K IlmainNew York University Grossman School of Medicine, Department of Microbiology, New York, NY.
Victor J TorresNew York University Grossman School of Medicine, Department of Microbiology, New York, NY.
Adam J RatnerNew York University Grossman School of Medicine, Department of Pediatrics, New York, NY.
New York University · US

Funding

Capsular serotype in group B Streptococcus colonization and diseaseR01AI155476 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI RATNER, ADAM JONATHAN · 2021 to 2025
$3.5M
NIAID NIH HHS R01 AI155476
6 · The paper itself

Abstract

Cholesterol dependent cytolysins (CDCs) are a large family of pore forming toxins, produced by numerous gram-positive pathogens. CDCs depend on host membrane cholesterol for pore formation; some CDCs also require surface associated human CD59 (hCD59) for binding, conferring specificity for human cells. We purified a recombinant version of a putative CDC encoded in the genome of IMPORTANCE: Cholesterol dependent cytolysins (CDCs) are produced by a variety of disease-causing bacteria, and may play a significant role in pathogenesis. Understanding CDC mechanisms of action provides useful information for developing anti-virulence strategies against bacteria that utilize CDCs and other pore-forming toxins in pathogenesis. This study describes for the first time a novel human-specific CDC with an atypical pore forming mechanism compared to known CDCs. In addition, this study demonstrates that human-specificity potentially confers increased lytic efficiency to CDCs. These data provide a possible explanation for the selective advantage of developing hCD59-dependency in CDCs and the consequent host restriction.

Identifiers

PMID37546867
PMCPMC10401958
OpenAlexW4381613786

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.