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Alterations in Gut Flora Are Associated
with Attenuated Responses to
Subsequent Vaccination
B. Kazmierczak, MD PhD
Yale University
Vaccination and Public Health
Impact of vaccines universally recommended before 1990 for children (United States)

                                 Baseline 20th century    1998 Provisional
             Disease                                                           % Decrease
                                   annual morbidity          morbidity
            Smallpox                    48,164                   0                100%
           Diphtheria                  175,885                   1                100%
            Pertussis                  147,271                 6,279              95.7%
             Tetanus                    1,314                    34               97.4%
     Poliomyelitis (paralytic)          16,316                   0                100%
            Measles                    503,282                   89               100%
             Mumps                     152,209                  606               99.6%

             Rubella                    47,745                  345               99.3%

 Hemophilus influenzae type B           20,000                   54               99.7%

                                                                  MMWR (1999) 48: 243-248
Immunologic variability of host

  Age
  Nutritional status
  Genetic variation
  Gut microflora?
Gut flora & adaptive immunity

  CD4+ T cell subset differentiation (Th1, Th2, Th17,
  Treg): abnormal in germ free mice and skewed by
  specific commensal bacteria (e.g. SFB, Bifidobacteria)
  or their products (polysaccharide A, ATP, CpG)


  Expansion and activation of cytolytic CD8+ T cells may
  be affected by composition of enteric microbiota
Gut flora alterations
 Changes in diet (e.g. weaning)
 Immune responses to enteric pathogens
 Antibiotics




                   Number of antimicrobial drugs dispensed per year
                            Finkelstein JA et al (2000) Arch Pediatr Adolesc Med 154: 395-400
Hypothesis: Altering gut flora
will impact vaccine efficacy

 Reproducible alteration of flora
 Clinically significant disease
 Relevant murine vaccination/disease model
West Nile virus (WNV)

 Vaccine antigen: E protein plus alum adjuvant
 Systemic (ip) administration
 Murine disease challenge model
Antibiotics x 1 week
Antibiotics x 1 week




Assess change
  to gut flora
Antibiotics x 1 week




Assess change
  to gut flora
           Vaccinate against WNV and
           measure immune response
Antibiotics x 1 week




Assess change                     Challenge with
  to gut flora                       live virus
           Vaccinate against WNV and
           measure immune response
Antibiotic protcol
Antibiotic protcol

 3 week old female mice (C57Bl/6) to SPF housing
Antibiotic protcol

 3 week old female mice (C57Bl/6) to SPF housing
 Duplicate cages randomized to treatment x 1 wk
   Control (autoclaved chow/water)

   Vancomycin/Norfloxacin/Metronidazole

   Neomycin/Clindamycin
Antibiotic protcol

 3 week old female mice (C57Bl/6) to SPF housing
 Duplicate cages randomized to treatment x 1 wk
   Control (autoclaved chow/water)

   Vancomycin/Norfloxacin/Metronidazole

   Neomycin/Clindamycin

 Mice off antibiotics x 1 week
   Conventionalized (complete fecal flora)

   Not conventionalized
Antibiotics decrease fecal flora counts




                                   week 1
                                   week 2
Large shifts in distribution of phyla after
antibiotic exposure




        1 2    1 2     1 2    1   2   1   2   1   2
       Ctrl A Ctrl B   N/C    N/C     VNM     VNM
                        not   conv     not    conv
                       conv           conv
Large shifts in distribution of phyla after
antibiotic exposure




        1 2    1 2     1 2    1   2   1   2   1   2
       Ctrl A Ctrl B   N/C    N/C     VNM     VNM
                        not   conv     not    conv
                       conv           conv
Large shifts in distribution of phyla after
antibiotic exposure




        1 2    1 2     1 2    1   2   1   2   1   2
       Ctrl A Ctrl B   N/C    N/C     VNM     VNM
                        not   conv     not    conv
                       conv           conv
Large shifts in distribution of phyla after
antibiotic exposure




        1 2    1 2     1 2    1   2   1   2   1   2
       Ctrl A Ctrl B   N/C    N/C     VNM     VNM
                        not   conv     not    conv
                       conv           conv
Large shifts in distribution of phyla after
antibiotic exposure




        1 2    1 2     1 2    1   2   1   2   1   2
       Ctrl A Ctrl B   N/C    N/C     VNM     VNM
                        not   conv     not    conv
                       conv           conv
Large shifts in distribution of phyla after
antibiotic exposure




        1 2    1 2     1 2    1   2   1   2   1   2
       Ctrl A Ctrl B   N/C    N/C     VNM     VNM
                        not   conv     not    conv
                       conv           conv
Decreased humoral immune responses in
   antibiotic treated mice
         Abx (d -14)

        D/C abx (d -7)

    Vaccinate (prime) (d 0)


Boost (d 14)


   Serum/spleens (d 28)

     IgG1>>IgG2b

     Paralleled by IgM
     titers

     Seen with both abx
     regimens
Increased IFNg production by
CD8  + T cells in control animals


         Abx (d -14)

        D/C abx (d -7)

    Vaccinate (prime) (d 0)


Boost (d 14)


   Serum/spleens (d 28)
Effects of antibiotic exposure :
vaccination & challenge
     Abx (d -14)


    D/C abx (d -7)


    Vaccinate (d 0)




     Infect (d 14)




                                   p<0.02
                                    n=15
Effects of antibiotic exposure :
vaccination & challenge
     Abx (d -14)


    D/C abx (d -7)


    Vaccinate (d 0)




     Infect (d 14)




                       Log rank (Mantel-Cox) test, p<0.001
                                 n=15 per group
Effects of antibiotic exposure :
vaccination & challenge
     Abx (d -14)


    D/C abx (d -7)


    Vaccinate (d 0)




     Infect (d 14)




     Weigh (d 28)
                                   p<0.01
Are effects on vaccination reversed by
“conventionalization”?




           week   1    2    1   2   1     2
                  Control   VNM      VNM
                            conv    not conv
Restoring Bacteroidetes is associated with
restored anti-E protein humoral response

         Abx (d -14)


    D/C abx     D/C abx & conv
     (d -7)          (d -7)

       Vaccinate (d 0)




        Infect (d 14)
WNV challenge: survival

     Abx (d -14)


D/C abx     D/C abx & conv
 (d -7)          (d -7)

   Vaccinate (d 0)




    Infect (d 14)


                             n=15/group
WNV challenge: morbidity

       Abx (d -14)


  D/C abx     D/C abx & conv
   (d -7)          (d -7)

     Vaccinate (d 0)




      Infect (d 14)

                          days post infection 0 14     0 14   0 14
                                             Control    Abx   Abx & conv
Summary
 Short term antibiotic exposure is associated with an
 attenuated response to systemic vaccination
   Mechanism: defects in antigen presentation?

   Mechanism: missing OTU/functionality v. taxonomic imbalance?

 Vaccine response can be normalized by returning gut
 flora to a phylogenetic distribution characteristic of
 control mice
   Can a defined probiotic normalize vaccine response?

   Can specific adjuvants provide this functionality?
Acknowledgements
   Kazmierczak Lab
       Ruchi Jain
 Maren Schniederberend
       Elise Lavoie
    Tamding Wangdi
     Aidan McKinlay
      Carla Weibel

      Fikrig Lab
     Debbie Beck
    Harald Foellmer

     L2 Diagnostics
     Michel Ledizet
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Presentation

  • 1. Alterations in Gut Flora Are Associated with Attenuated Responses to Subsequent Vaccination B. Kazmierczak, MD PhD Yale University
  • 2. Vaccination and Public Health Impact of vaccines universally recommended before 1990 for children (United States) Baseline 20th century 1998 Provisional Disease % Decrease annual morbidity morbidity Smallpox 48,164 0 100% Diphtheria 175,885 1 100% Pertussis 147,271 6,279 95.7% Tetanus 1,314 34 97.4% Poliomyelitis (paralytic) 16,316 0 100% Measles 503,282 89 100% Mumps 152,209 606 99.6% Rubella 47,745 345 99.3% Hemophilus influenzae type B 20,000 54 99.7% MMWR (1999) 48: 243-248
  • 3. Immunologic variability of host Age Nutritional status Genetic variation Gut microflora?
  • 4. Gut flora & adaptive immunity CD4+ T cell subset differentiation (Th1, Th2, Th17, Treg): abnormal in germ free mice and skewed by specific commensal bacteria (e.g. SFB, Bifidobacteria) or their products (polysaccharide A, ATP, CpG) Expansion and activation of cytolytic CD8+ T cells may be affected by composition of enteric microbiota
  • 5. Gut flora alterations Changes in diet (e.g. weaning) Immune responses to enteric pathogens Antibiotics Number of antimicrobial drugs dispensed per year Finkelstein JA et al (2000) Arch Pediatr Adolesc Med 154: 395-400
  • 6. Hypothesis: Altering gut flora will impact vaccine efficacy Reproducible alteration of flora Clinically significant disease Relevant murine vaccination/disease model
  • 7. West Nile virus (WNV) Vaccine antigen: E protein plus alum adjuvant Systemic (ip) administration Murine disease challenge model
  • 8.
  • 10. Antibiotics x 1 week Assess change to gut flora
  • 11. Antibiotics x 1 week Assess change to gut flora Vaccinate against WNV and measure immune response
  • 12. Antibiotics x 1 week Assess change Challenge with to gut flora live virus Vaccinate against WNV and measure immune response
  • 14. Antibiotic protcol 3 week old female mice (C57Bl/6) to SPF housing
  • 15. Antibiotic protcol 3 week old female mice (C57Bl/6) to SPF housing Duplicate cages randomized to treatment x 1 wk Control (autoclaved chow/water) Vancomycin/Norfloxacin/Metronidazole Neomycin/Clindamycin
  • 16. Antibiotic protcol 3 week old female mice (C57Bl/6) to SPF housing Duplicate cages randomized to treatment x 1 wk Control (autoclaved chow/water) Vancomycin/Norfloxacin/Metronidazole Neomycin/Clindamycin Mice off antibiotics x 1 week Conventionalized (complete fecal flora) Not conventionalized
  • 17. Antibiotics decrease fecal flora counts week 1 week 2
  • 18. Large shifts in distribution of phyla after antibiotic exposure 1 2 1 2 1 2 1 2 1 2 1 2 Ctrl A Ctrl B N/C N/C VNM VNM not conv not conv conv conv
  • 19. Large shifts in distribution of phyla after antibiotic exposure 1 2 1 2 1 2 1 2 1 2 1 2 Ctrl A Ctrl B N/C N/C VNM VNM not conv not conv conv conv
  • 20. Large shifts in distribution of phyla after antibiotic exposure 1 2 1 2 1 2 1 2 1 2 1 2 Ctrl A Ctrl B N/C N/C VNM VNM not conv not conv conv conv
  • 21. Large shifts in distribution of phyla after antibiotic exposure 1 2 1 2 1 2 1 2 1 2 1 2 Ctrl A Ctrl B N/C N/C VNM VNM not conv not conv conv conv
  • 22. Large shifts in distribution of phyla after antibiotic exposure 1 2 1 2 1 2 1 2 1 2 1 2 Ctrl A Ctrl B N/C N/C VNM VNM not conv not conv conv conv
  • 23. Large shifts in distribution of phyla after antibiotic exposure 1 2 1 2 1 2 1 2 1 2 1 2 Ctrl A Ctrl B N/C N/C VNM VNM not conv not conv conv conv
  • 24. Decreased humoral immune responses in antibiotic treated mice Abx (d -14) D/C abx (d -7) Vaccinate (prime) (d 0) Boost (d 14) Serum/spleens (d 28) IgG1>>IgG2b Paralleled by IgM titers Seen with both abx regimens
  • 25. Increased IFNg production by CD8 + T cells in control animals Abx (d -14) D/C abx (d -7) Vaccinate (prime) (d 0) Boost (d 14) Serum/spleens (d 28)
  • 26. Effects of antibiotic exposure : vaccination & challenge Abx (d -14) D/C abx (d -7) Vaccinate (d 0) Infect (d 14) p<0.02 n=15
  • 27. Effects of antibiotic exposure : vaccination & challenge Abx (d -14) D/C abx (d -7) Vaccinate (d 0) Infect (d 14) Log rank (Mantel-Cox) test, p<0.001 n=15 per group
  • 28. Effects of antibiotic exposure : vaccination & challenge Abx (d -14) D/C abx (d -7) Vaccinate (d 0) Infect (d 14) Weigh (d 28) p<0.01
  • 29. Are effects on vaccination reversed by “conventionalization”? week 1 2 1 2 1 2 Control VNM VNM conv not conv
  • 30. Restoring Bacteroidetes is associated with restored anti-E protein humoral response Abx (d -14) D/C abx D/C abx & conv (d -7) (d -7) Vaccinate (d 0) Infect (d 14)
  • 31. WNV challenge: survival Abx (d -14) D/C abx D/C abx & conv (d -7) (d -7) Vaccinate (d 0) Infect (d 14) n=15/group
  • 32. WNV challenge: morbidity Abx (d -14) D/C abx D/C abx & conv (d -7) (d -7) Vaccinate (d 0) Infect (d 14) days post infection 0 14 0 14 0 14 Control Abx Abx & conv
  • 33. Summary Short term antibiotic exposure is associated with an attenuated response to systemic vaccination Mechanism: defects in antigen presentation? Mechanism: missing OTU/functionality v. taxonomic imbalance? Vaccine response can be normalized by returning gut flora to a phylogenetic distribution characteristic of control mice Can a defined probiotic normalize vaccine response? Can specific adjuvants provide this functionality?
  • 34. Acknowledgements Kazmierczak Lab Ruchi Jain Maren Schniederberend Elise Lavoie Tamding Wangdi Aidan McKinlay Carla Weibel Fikrig Lab Debbie Beck Harald Foellmer L2 Diagnostics Michel Ledizet

Editor's Notes

  1. \n
  2. Vaccines are a cornerstone of public health policy. This table clearly shows how the adoption of childhood vaccination recommendations has reduced morbidity for a number of vaccine preventable diseases between the beginning and end of the last century. Nonetheless, we know that vaccines are not uniformly effective in all hosts.\n
  3. Some of this host variability is likely due to factors such as age, nutritional status and even genetic variation. As this meeting has clearly illustrated, however, we also need to consider whether variation in a host&amp;#x2019;s microbiome might influence their response to vaccination.\n
  4. Work from many investigators has now clearly established links between the gut microbiome and the development of adaptive immunity. Differentiation of CD4 T cell subsets does not occur normally in germ free mice, and can be skewed....\nAlthough CD8 T cells differentiate in the absence of the gut microflora, their expansion &amp;...\n
  5. Although humans are obviously never germ free, we clearly experience events that dramatically shift the composition of our microbiome. These include dietary changes, particularly those that accompany weaning, innate immune responses that we mount to infections, and of course antibiotic use. This graph shows how frequently children under the age of three are dispensed antibiotics in the United States--and we can see that some 75% received one or more courses of antimicrobials in the year examined in this study\n
  6. Given this background, we wanted to test whether such alterations in gut flora might alter the response to vaccination. We carried out our experiments in mice, first defining a strategy that would reproducibly alter their gut flora and then testing how such alterations affected their response to vaccine and subsequent pathogen challenge. We were particularly interested in murine models for clinically significant human diseases and therefore initially focused these studies on the flavivirus West Nile\n
  7. West Nile Virus has caused substantial human morbidity and mortality in the US during the past decade. Although there is no human vaccine approved for WN, there is a vaccine that has been used successfully in horses in the US. The vaccine is the purified envelope protein, which we administered systemically with alum adjuvant at a dose that protects mice against challenge with live virus.\n
  8. So the general strategy of our experiments was to take mice, expose them to antibiotics for a week, then assess...\n
  9. So the general strategy of our experiments was to take mice, expose them to antibiotics for a week, then assess...\n
  10. So the general strategy of our experiments was to take mice, expose them to antibiotics for a week, then assess...\n
  11. So the general strategy of our experiments was to take mice, expose them to antibiotics for a week, then assess...\n
  12. We purchased and housed control mice, as well as those randomized to receive either vancomycin , norfloxacin and metronidazole OR neomycin and clindamycin in specific pathogen free housing, where they were fed autoclaved water and chow. The mice received antibiotics orally for one week, then were allowed to recover for an additional week. We collected stool at the end of week 1 and week 2 to analyze fecal bacterial counts, and analyzed OTU composition by pyrosequencing of the V3 region of 16s rRNA. In some experiments we attempted to alter the gut microflora by exposing mice to complete fecal flora from control animals during the recovery week, and I will call these animals &amp;#x201C;conventionalized&amp;#x201D; during the remainder of the talk. \n
  13. We purchased and housed control mice, as well as those randomized to receive either vancomycin , norfloxacin and metronidazole OR neomycin and clindamycin in specific pathogen free housing, where they were fed autoclaved water and chow. The mice received antibiotics orally for one week, then were allowed to recover for an additional week. We collected stool at the end of week 1 and week 2 to analyze fecal bacterial counts, and analyzed OTU composition by pyrosequencing of the V3 region of 16s rRNA. In some experiments we attempted to alter the gut microflora by exposing mice to complete fecal flora from control animals during the recovery week, and I will call these animals &amp;#x201C;conventionalized&amp;#x201D; during the remainder of the talk. \n
  14. We purchased and housed control mice, as well as those randomized to receive either vancomycin , norfloxacin and metronidazole OR neomycin and clindamycin in specific pathogen free housing, where they were fed autoclaved water and chow. The mice received antibiotics orally for one week, then were allowed to recover for an additional week. We collected stool at the end of week 1 and week 2 to analyze fecal bacterial counts, and analyzed OTU composition by pyrosequencing of the V3 region of 16s rRNA. In some experiments we attempted to alter the gut microflora by exposing mice to complete fecal flora from control animals during the recovery week, and I will call these animals &amp;#x201C;conventionalized&amp;#x201D; during the remainder of the talk. \n
  15. We enumerated bacteria in stool samples by staining with Sybr Green and then counting the organisms microscopically, since we had difficulty quantitatively recovering strict anaerobes by culture methods. As you can see, each antibiotic regimen leads to a several-fold decrease in the number of stool bacteria by the end of week 1, which remains stable over the recovery week. If we conventionalize mice after either treatment regimen, we increase stool counts back to control levels. So the changes in bacterial number are similar between these two antibiotic regimens, but the shifts in microbiome composition are not, as we can see on the next slide.\n
  16. Weaned mice, like humans, have a gut microflora in which bacteroidetes predominate. Administration of either antibiotic regimen dramatically changed this picture but in completely distinct ways. So as you can see, proteobacteria become dominant in neomycin/clinda treated mice, while Vanco/norflox/metronidazole, or VNM mice shift to a microbiome dominated by firmicutes, specifically Lactobacillus species. These shifts are stable over the next week in the absence of conventionalization. If we expose Neo/Clinda mice to normal fecal flora, we slightly shift the balance between proteobacteria and firmicutes, but can&amp;#x2019;t restore Bacteroidetes. On the other hand, VNM mice can be shifted back to a microbiome composition in which Bacteroidetes predominates.\n
  17. Weaned mice, like humans, have a gut microflora in which bacteroidetes predominate. Administration of either antibiotic regimen dramatically changed this picture but in completely distinct ways. So as you can see, proteobacteria become dominant in neomycin/clinda treated mice, while Vanco/norflox/metronidazole, or VNM mice shift to a microbiome dominated by firmicutes, specifically Lactobacillus species. These shifts are stable over the next week in the absence of conventionalization. If we expose Neo/Clinda mice to normal fecal flora, we slightly shift the balance between proteobacteria and firmicutes, but can&amp;#x2019;t restore Bacteroidetes. On the other hand, VNM mice can be shifted back to a microbiome composition in which Bacteroidetes predominates.\n
  18. Weaned mice, like humans, have a gut microflora in which bacteroidetes predominate. Administration of either antibiotic regimen dramatically changed this picture but in completely distinct ways. So as you can see, proteobacteria become dominant in neomycin/clinda treated mice, while Vanco/norflox/metronidazole, or VNM mice shift to a microbiome dominated by firmicutes, specifically Lactobacillus species. These shifts are stable over the next week in the absence of conventionalization. If we expose Neo/Clinda mice to normal fecal flora, we slightly shift the balance between proteobacteria and firmicutes, but can&amp;#x2019;t restore Bacteroidetes. On the other hand, VNM mice can be shifted back to a microbiome composition in which Bacteroidetes predominates.\n
  19. Weaned mice, like humans, have a gut microflora in which bacteroidetes predominate. Administration of either antibiotic regimen dramatically changed this picture but in completely distinct ways. So as you can see, proteobacteria become dominant in neomycin/clinda treated mice, while Vanco/norflox/metronidazole, or VNM mice shift to a microbiome dominated by firmicutes, specifically Lactobacillus species. These shifts are stable over the next week in the absence of conventionalization. If we expose Neo/Clinda mice to normal fecal flora, we slightly shift the balance between proteobacteria and firmicutes, but can&amp;#x2019;t restore Bacteroidetes. On the other hand, VNM mice can be shifted back to a microbiome composition in which Bacteroidetes predominates.\n
  20. Weaned mice, like humans, have a gut microflora in which bacteroidetes predominate. Administration of either antibiotic regimen dramatically changed this picture but in completely distinct ways. So as you can see, proteobacteria become dominant in neomycin/clinda treated mice, while Vanco/norflox/metronidazole, or VNM mice shift to a microbiome dominated by firmicutes, specifically Lactobacillus species. These shifts are stable over the next week in the absence of conventionalization. If we expose Neo/Clinda mice to normal fecal flora, we slightly shift the balance between proteobacteria and firmicutes, but can&amp;#x2019;t restore Bacteroidetes. On the other hand, VNM mice can be shifted back to a microbiome composition in which Bacteroidetes predominates.\n
  21. We next went on to measure response to vaccination in our control and antibiotic exposed animals. \n
  22. \n
  23. \n
  24. \n
  25. Weight loss correlates well with viremia.\n
  26. \n
  27. \n
  28. \n
  29. \n
  30. \n
  31. \n
  32. LEfSe analysis with p=0.01 carried out using John Bruce&amp;#x2019;s data sets (min length 100), with NC included in the non-responders. (39: LDA Effect size on data 38)\n
  33. LEfSe analysis with p=0.01 carried out using John Bruce&amp;#x2019;s data sets (min length 100), with NC included in the non-responders. (39: LDA Effect size on data 38)\n
  34. LEfSe analysis carried out on min180 RDP data set (processed by myself), using p=0.01.\n
  35. LEfSe analysis carried out on min180 RDP data set (processed by myself), using p=0.01.\n
  36. LEfSe analysis carried out on min180 RDP data set (processed by myself), using p=0.05.\n
  37. LEfSe analysis carried out on min180 RDP data set (processed by myself), using p=0.05.\n