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
Studieoversikt
Status
Forhold
Intervensjon / Behandling
Studietype
Registrering (Forventet)
Kontakter og plasseringer
Studiesteder
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Marseille, Frankrike, 13354
- Rekruttering
- Assistance Publique Hôpitaux de Marseille
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Ta kontakt med:
- Hervé CHAUDET, PH
- Telefonnummer: +33 413732001
- E-post: herve.chaudet@gmail.com
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Hovedetterforsker:
- Hervé CHAUDET, PH
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Deltakelseskriterier
Kvalifikasjonskriterier
Alder som er kvalifisert for studier
Tar imot friske frivillige
Kjønn som er kvalifisert for studier
Prøvetakingsmetode
Studiepopulasjon
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 studiet utformet?
Designdetaljer
Kohorter og intervensjoner
Gruppe / Kohort |
Intervensjon / 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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Hva måler studien?
Primære resultatmål
Resultatmål |
Tiltaksbeskrivelse |
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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Samarbeidspartnere og etterforskere
Publikasjoner og nyttige lenker
Studierekorddatoer
Studer hoveddatoer
Studiestart (Faktiske)
Primær fullføring (Forventet)
Studiet fullført (Forventet)
Datoer for studieregistrering
Først innsendt
Først innsendt som oppfylte QC-kriteriene
Først lagt ut (Faktiske)
Oppdateringer av studieposter
Sist oppdatering lagt ut (Faktiske)
Siste oppdatering sendt inn som oppfylte QC-kriteriene
Sist bekreftet
Mer informasjon
Begreper knyttet til denne studien
Ytterligere relevante MeSH-vilkår
Andre studie-ID-numre
- 2017-16
- TPS 15219ter (Registeridentifikator: INDS number)
Plan for individuelle deltakerdata (IPD)
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