Gram(-) bacteria are pathogenic microorganisms whose outer membrane of the external envelope is composed of complex molecules, such as lipopolysaccharides (LPS), consisting of three structural domains: lipid A, the core oligosaccharide and the O antigen. They are endotoxins responsible for many infections induced by bacterial pathogens, so represent a suitable target for selective detection. This can be achieved through specifically designed biosensors, where the biorecognition event is exploited for detection. Among biorecognition molecules, aptamers are very appealing. They are single-stranded DNA or RNA with high affinity and specificity towards specific analytes. Recently, a small aptamer, named LA27, has been identified for a selective recognition of LPS. The LPS portion interacting with LA27 is not well understood yet. However, preliminary studies seem to suggest a direct affinity with lipid A as well as a capability of this aptamer to interact with LPS deriving from different strains of Gram(-) bacteria. In this study, we investigated the interaction of LA27 with two LOS and one LPS extracted respectively from three Gram(-) strains: Akkermansia, Flavobacterium and Paenalcaligenes hominis. Exploiting Neutron Reflectometry and Dynamic Light Scattering on biomimicking bacterial membranes we were able to see that LA27 can interact with both LOS and LPS, but it showed a higher affinity with LOS, this can be ascribed to a screening effect of the O-antigen region of the LPS.

Neutrons and Light as tools for the identification of specific biorecognition molecules for LPS detection / Cangiano, Alessandro; Gallucci, Noemi; Clifton, Luke A.; Paduano, Luigi; Vitiello, Giuseppe. - (2023). ( MLZ User Meeting 2023 Munich (Germany) 4-5 Dicembre 2023).

Neutrons and Light as tools for the identification of specific biorecognition molecules for LPS detection

Alessandro Cangiano
Primo
;
Noemi Gallucci;Luigi Paduano;Giuseppe Vitiello
2023

Abstract

Gram(-) bacteria are pathogenic microorganisms whose outer membrane of the external envelope is composed of complex molecules, such as lipopolysaccharides (LPS), consisting of three structural domains: lipid A, the core oligosaccharide and the O antigen. They are endotoxins responsible for many infections induced by bacterial pathogens, so represent a suitable target for selective detection. This can be achieved through specifically designed biosensors, where the biorecognition event is exploited for detection. Among biorecognition molecules, aptamers are very appealing. They are single-stranded DNA or RNA with high affinity and specificity towards specific analytes. Recently, a small aptamer, named LA27, has been identified for a selective recognition of LPS. The LPS portion interacting with LA27 is not well understood yet. However, preliminary studies seem to suggest a direct affinity with lipid A as well as a capability of this aptamer to interact with LPS deriving from different strains of Gram(-) bacteria. In this study, we investigated the interaction of LA27 with two LOS and one LPS extracted respectively from three Gram(-) strains: Akkermansia, Flavobacterium and Paenalcaligenes hominis. Exploiting Neutron Reflectometry and Dynamic Light Scattering on biomimicking bacterial membranes we were able to see that LA27 can interact with both LOS and LPS, but it showed a higher affinity with LOS, this can be ascribed to a screening effect of the O-antigen region of the LPS.
2023
Neutrons and Light as tools for the identification of specific biorecognition molecules for LPS detection / Cangiano, Alessandro; Gallucci, Noemi; Clifton, Luke A.; Paduano, Luigi; Vitiello, Giuseppe. - (2023). ( MLZ User Meeting 2023 Munich (Germany) 4-5 Dicembre 2023).
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/1012937
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact