Abteilung Umweltmikrobiologie

Bakterielle Toleranz gegen Antibiotika – individuelle und kollektive Effekte

Antibiotika spielen eine wichtige Rolle bei der Behandlung von bakteriellen Infektionen, und das Fehlschlagen von Antibiotika-Behandlungen kann fatal sein für Patienten. In den letzten Jahren haben Bakterien die resistent sind gegen Antibiotika grosse Aufmerksamkeit erregt in der Forschung wie auch in der Öffentlichkeit. Bakterien können aber auch Antibiotika widerstehen ohne genetisch resistent zu sein. Spezielle Wachstumsbedingungen oder Wechselwirkungen mit anderen Bakterienarten können dazu führen dass Bakterien vorübergehen unempfindlich werden können gegen Antibiotika. Es ist ein wichtiges Ziel zu verstehen wie solche Unempfindlichkeit entsteht, und wie Antibiotika besser eingesetzt werden können um Unempfindlichkeit zu verhindern. Wir forschen daran wie Antibiotika auf das Wachstum und Überleben von einzelnen Bakterienzellen wirken, und wie diese Wirkung von den Wachstumsbedingungen und der Zusammensetzung der bakteriellen Gemeinschaft abhängt.

Publikationen zu diesem Projekt

Extbase Variable Dump
array(2 items)
   publications => '7746,9122' (9 chars)
   libraryUrl => '' (0 chars)
Extbase Variable Dump
array(2 items)
   0 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=7746, pid=124)
      originalId => protected7746 (integer)
      authors => protected'Ocampo, P. S.; Lázár, V.; Papp, B.; Arnoldini, M.
         ; zur Wiesch, P. A.; Busa-Fekete, R.; Fekete, G.; Pál,&
         nbsp;C.; Ackermann, M.; Bonhoeffer, S.
' (200 chars) title => protected'Antagonism between bacteriostatic and bactericidal antibiotics is prevalent' (75 chars) journal => protected'Antimicrobial Agents and Chemotherapy' (37 chars) year => protected2014 (integer) volume => protected58 (integer) issue => protected'8' (1 chars) startpage => protected'4573' (4 chars) otherpage => protected'4582' (4 chars) categories => protected'' (0 chars) description => protected'Combination therapy is rarely used to counter the evolution of resistance in
          bacterial infections. Expansion of the use of combination therapy requires
         knowledge of how drugs interact at inhibitory concentrations. More than 50 y
         ears ago, it was noted that, if bactericidal drugs are most potent with acti
         vely dividing cells, then the inhibition of growth induced by a bacteriostat
         ic drug should result in an overall reduction of efficacy when the drug is u
         sed in combination with a bactericidal drug. Our goal here was to investigat
         e this hypothesis systematically. We first constructed time-kill curves usin
         g five different antibiotics at clinically relevant concentrations, and we o
         bserved antagonism between bactericidal and bacteriostatic drugs. We extende
         d our investigation by performing a screen of pairwise combinations of 21 di
         fferent antibiotics at subinhibitory concentrations, and we found that stron
         g antagonistic interactions were enriched significantly among combinations o
         f bacteriostatic and bactericidal drugs. Finally, since our hypothesis relie
         s on phenotypic effects produced by different drug classes, we recreated the
         se experiments in a microfluidic device and performed time-lapse microscopy
         to directly observe and quantify the growth and division of individual cells
          with controlled antibiotic concentrations. While our single-cell observatio
         ns supported the antagonism between bacteriostatic and bactericidal drugs, t
         hey revealed an unexpected variety of cellular responses to antagonistic dru
         g combinations, suggesting that multiple mechanisms underlie the interaction
         s.
' (1598 chars) serialnumber => protected'0066-4804' (9 chars) doi => protected'10.1128/AAC.02463-14' (20 chars) uid => protected7746 (integer) _localizedUid => protected7746 (integer)modified _languageUid => protectedNULL _versionedUid => protected7746 (integer)modified pid => protected124 (integer)
1 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=9122, pid=124) originalId => protected9122 (integer) authors => protected'Arnoldini, M.; Vizcarra, I. A.; Peña-Miller, R.; Stocke
         r, N.; Diard, M.; Vogel, V.; Beardmore, R. E.; Hard
         t, W.-D.; Ackermann, M.
' (185 chars) title => protected'Bistable expression of virulence genes in <I>Salmonella</I> leads to the for
         mation of an antibiotic-tolerant subpopulation
' (122 chars) journal => protected'PLoS Biology' (12 chars) year => protected2014 (integer) volume => protected12 (integer) issue => protected'8' (1 chars) startpage => protected'1' (1 chars) otherpage => protected'8' (1 chars) categories => protected'' (0 chars) description => protected'Phenotypic heterogeneity can confer clonal groups of organisms with new func
         tionality. A paradigmatic example is the bistable expression of virulence ge
         nes in <I>Salmonella typhimurium</I>, which leads to phenotypically virulent
          and phenotypically avirulent subpopulations. The two subpopulations have be
         en shown to divide labor during <I>S. typhimurium</I> infections. Here, we s
         how that heterogeneous virulence gene expression in this organism also promo
         tes survival against exposure to antibiotics through a bet-hedging mechanism
         . Using microfluidic devices in combination with fluorescence time-lapse mic
         roscopy and quantitative image analysis, we analyzed the expression of virul
         ence genes at the single cell level and related it to survival when exposed
         to antibiotics. We found that, across different types of antibiotics and und
         er concentrations that are clinically relevant, the subpopulation of bacteri
         al cells that express virulence genes shows increased survival after exposur
         e to antibiotics. Intriguingly, there is an interplay between the two conseq
         uences of phenotypic heterogeneity. The bet-hedging effect that arises throu
         gh heterogeneity in virulence gene expression can protect clonal populations
          against avirulent mutants that exploit and subvert the division of labor wi
         thin these populations. We conclude that bet-hedging and the division of lab
         or can arise through variation in a single trait and interact with each othe
         r. This reveals a new degree of functional complexity of phenotypic heteroge
         neity. In addition, our results suggest a general principle of how pathogens
          can evade antibiotics: Expression of virulence factors often entails metabo
         lic costs and the resulting growth retardation could generally increase tole
         rance against antibiotics and thus compromise treatment.
' (1804 chars) serialnumber => protected'1544-9173' (9 chars) doi => protected'10.1371/journal.pbio.1001928' (28 chars) uid => protected9122 (integer) _localizedUid => protected9122 (integer)modified _languageUid => protectedNULL _versionedUid => protected9122 (integer)modified pid => protected124 (integer)
Ocampo, P. S.; Lázár, V.; Papp, B.; Arnoldini, M.; zur Wiesch, P. A.; Busa-Fekete, R.; Fekete, G.; Pál, C.; Ackermann, M.; Bonhoeffer, S. (2014) Antagonism between bacteriostatic and bactericidal antibiotics is prevalent, Antimicrobial Agents and Chemotherapy, 58(8), 4573-4582, doi:10.1128/AAC.02463-14, Institutional Repository
Arnoldini, M.; Vizcarra, I. A.; Peña-Miller, R.; Stocker, N.; Diard, M.; Vogel, V.; Beardmore, R. E.; Hardt, W.-D.; Ackermann, M. (2014) Bistable expression of virulence genes in Salmonella leads to the formation of an antibiotic-tolerant subpopulation, PLoS Biology, 12(8), 1-8, doi:10.1371/journal.pbio.1001928, Institutional Repository