Identification of Protein Markers of Epidemiological and Clinical Interest by MALDI-TOF (SPECTRASURV)
Not all infectious agents have the same epidemic potential, and this can vary widely within the same species. Rapid determination of this potential is essential to optimize control of infectious diseases. It is now accepted that identification with the species is clearly insufficient to identify an epidemic and to carry out epidemiological analyzes. Indeed, if the same bacterial species can present a great diversity of strains, it is organized in clonal complexes having strong variations of clinical and epidemiological expression.
More specifically, on a bio-epidemiological level, the clonal identification of the bacterial agent is a real asset because it can make it possible to identify the highly virulent strains or known to be resistant, the clones associated with nosocomial infections, the source of the infection. an epidemic and to follow its spatio-temporal extension, to know the epidemiological antiquity of the clone, to follow or rebuild a chain of transmission, to discover epidemic clusters.
There are rapid identification techniques, for example by polymerase chain reaction (PCR), but which are targeted at particular genomic compositions previously identified.
Routine bacterial identification now rests on the determination of the protein composition by mass spectrometry (MALDI-TOF). The bacterial spectrum is compared to a reference library of protein composition, thus obtaining an identification equivalent to that based on the 16s RNA (ribonucleic acid 16s) and can descend to an infra-species level.
The aim of this work is to use the proteome part of the MALDI-TOF spectrum to identify peaks that signal clonality and to determine proteomic fingerprintings that can be used for epidemiological and clinical purposes.
Instead of relying on expensive genomic methods, the identification of the clonal characteristics of the strains will rely on the bacterial proteome present on the MALDI-TOF spectrum that is produced during the routine identification of the bacterium.
The results are intended to feed a complementary knowledge base
Studieoversigt
Status
Betingelser
Intervention / Behandling
Undersøgelsestype
Tilmelding (Forventet)
Kontakter og lokationer
Studiesteder
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Marseille, Frankrig, 13354
- Rekruttering
- Assistance Publique Hopitaux de Marseille
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Kontakt:
- Hervé CHAUDET, PH
- Telefonnummer: +33 413732001
- E-mail: herve.chaudet@gmail.com
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Ledende efterforsker:
- Hervé CHAUDET, PH
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Deltagelseskriterier
Berettigelseskriterier
Aldre berettiget til at studere
Tager imod sunde frivillige
Køn, der er berettiget til at studere
Prøveudtagningsmetode
Studiebefolkning
Beskrivelse
Inclusion Criteria:
- bacterial identification by Matrix Assisted Laser Desorption Ionisation - Time of Flight (MALDI-TOF)
Exclusion Criteria:
- Unidentified strain or noisy spectrum
Studieplan
Hvordan er undersøgelsen tilrettelagt?
Design detaljer
Kohorter og interventioner
Gruppe / kohorte |
Intervention / Behandling |
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Bacterial identification
Describe the MALDI-TOF spectrum to identify peaks that may be associated with epidemiological and clinical characteristics of bacterial strains
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The determination of the protein composition of the bacterial spectrum
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Hvad måler undersøgelsen?
Primære resultatmål
Resultatmål |
Foranstaltningsbeskrivelse |
Tidsramme |
|---|---|---|
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Ability to find protein peaks that mark epidemic clones
Tidsramme: 36 months
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Ability to find protein peaks that mark epidemic clones Association of these clones with epidemic characteristics (age, antibacterial resistance, virulence)
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36 months
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Samarbejdspartnere og efterforskere
Publikationer og nyttige links
Datoer for undersøgelser
Studer store datoer
Studiestart (Faktiske)
Primær færdiggørelse (Forventet)
Studieafslutning (Forventet)
Datoer for studieregistrering
Først indsendt
Først indsendt, der opfyldte QC-kriterier
Først opslået (Faktiske)
Opdateringer af undersøgelsesjournaler
Sidste opdatering sendt (Faktiske)
Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier
Sidst verificeret
Mere information
Begreber relateret til denne undersøgelse
Yderligere relevante MeSH-vilkår
Andre undersøgelses-id-numre
- 2017-16
- TPS 15219ter (Registry Identifier: INDS number)
Plan for individuelle deltagerdata (IPD)
Planlægger du at dele individuelle deltagerdata (IPD)?
Lægemiddel- og udstyrsoplysninger, undersøgelsesdokumenter
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