Evidence map›Paper›PMID 36696456›Full record

ArticlePLoS pathogens2023

Genome-wide screen in human plasma identifies multifaceted complement evasion of Pseudomonas aeruginosa.

Manon Janet-Maitre, Stéphane Pont, Frerich M Masson, Serena Sleiman, Julian Trouillon, Mylène Robert-Genthon, Benoît Gallet, Chantal Dumestre-Perard, Sylvie Elsen, Christine Moriscot and 4 more

Open access · goldAbstract read
In one paragraph

Article in PLoS pathogens, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  6. DegS regulates the aerobic metabolism ofFrontiers in cellular and infection microbiology · 2024
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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

14 authors at 3 institutions in 3 countries.

Manon Janet-MaitreUniversity Grenoble Alpes, Institute of Structural Biology, UMR5075, Team Bacterial Pathogenesis and Cellular Responses, Grenoble, France.
Stéphane PontUniversity Grenoble Alpes, Institute of Structural Biology, UMR5075, Team Bacterial Pathogenesis and Cellular Responses, Grenoble, France.
Frerich M MassonMedical Microbiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Serena SleimanUniversity Grenoble Alpes, Institute of Structural Biology, UMR5075, Team Bacterial Pathogenesis and Cellular Responses, Grenoble, France.
Julian TrouillonUniversity Grenoble Alpes, Institute of Structural Biology, UMR5075, Team Bacterial Pathogenesis and Cellular Responses, Grenoble, France.
Mylène Robert-GenthonUniversity Grenoble Alpes, Institute of Structural Biology, UMR5075, Team Bacterial Pathogenesis and Cellular Responses, Grenoble, France.
Benoît GalletUniversity Grenoble Alpes, CNRS, CEA, Institute of Structural Biology, Grenoble, France.
Chantal Dumestre-PerardUniversity Grenoble Alpes, CNRS, CEA, Institute of Structural Biology, Grenoble, France.
Sylvie ElsenUniversity Grenoble Alpes, Institute of Structural Biology, UMR5075, Team Bacterial Pathogenesis and Cellular Responses, Grenoble, France.
Christine MoriscotUniversity Grenoble Alpes, CNRS, CEA, EMBL, ISBG, UMS3518, Grenoble, France.
Bart W BardoelMedical Microbiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Suzan H M RooijakkersMedical Microbiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
François CretinUniversity Grenoble Alpes, Institute of Structural Biology, UMR5075, Team Bacterial Pathogenesis and Cellular Responses, Grenoble, France.
Ina AttréeUniversity Grenoble Alpes, Institute of Structural Biology, UMR5075, Team Bacterial Pathogenesis and Cellular Responses, Grenoble, France.ORCID 0000-0002-2580-764X
Institut de Biologie Structurale · FRCentre National de la Recherche Scientifique · FRUtrecht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pseudomonas aeruginosa, an opportunistic Gram-negative pathogen, is a leading cause of bacteremia with a high mortality rate. We recently reported that P. aeruginosa forms a persister-like sub-population of evaders in human plasma. Here, using a gain-of-function transposon sequencing (Tn-seq) screen in plasma, we identified and validated previously unknown factors affecting bacterial persistence in plasma. Among them, we identified a small periplasmic protein, named SrgA, whose expression leads to up to a 100-fold increase in resistance to killing. Additionally, mutants in pur and bio genes displayed higher tolerance and persistence, respectively. Analysis of several steps of the complement cascade and exposure to an outer-membrane-impermeable drug, nisin, suggested that the mutants impede membrane attack complex (MAC) activity per se. Electron microscopy combined with energy-dispersive X-ray spectroscopy (EDX) revealed the formation of polyphosphate (polyP) granules upon incubation in plasma of different size in purD and wild-type strains, implying the bacterial response to a stress signal. Indeed, inactivation of ppk genes encoding polyP-generating enzymes lead to significant elimination of persisting bacteria from plasma. Through this study, we shed light on a complex P. aeruginosa response to the plasma conditions and discovered the multifactorial origin of bacterial resilience to MAC-induced killing.

Indexed as

Anti-Bacterial AgentsPseudomonas aeruginosaComplement Membrane Attack ComplexComplement System ProteinsHumansAnti-Bacterial AgentsComplement Membrane Attack ComplexComplement System Proteins

Identifiers

PMID36696456
PMCPMC9901815
OpenAlexW4318027959

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.