Article Text
PDF
Statistics from Altmetric.com
The first study to investigate potential associations between gut microbiota composition and SARS-CoV-2 vaccine immunogenicity was recently published in Gut.1 This study demonstrated a statistically significant reduction in alpha diversity and a shift in gut microbiota composition following BNT162b2 vaccination, characterised by reductions in Actinobacteriota, Blautia, Dorea, Adlercreutzia, Asacchaobacter, Coprococcus, Streptococcus, Collinsella and Ruminococcus spp and an increase in Bacteroides cacaae and Alistipes shahii. Our prospective observational study (n=52; figure 1A, online supplemental table S1) similarly showed a shift in gut microbiota after the first BNT162b2 vaccine dose (p=0.016; online supplemental figure S1A), including a reduction in Actinobacteria, Blautia spp (p<0.01; figure 1B), and alpha diversity (p=0.078; online supplemental figure S1B). Our data support the findings by Ng et al,1 reinforcing the link between SARS-CoV-2 mRNA vaccine immunogenicity and the gut microbiota.
Supplemental material
Supplemental material
Impact of the mRNA SARS-CoV-2 BNT162b2 vaccine on gut microbiota composition as well as the gut microbiome and dietary factors that affect BNT162b2 vaccine response. (A) Schematic of the study design and blood and stool sample collection timepoints. (B) A significant reduction in Actinobacteriota (p<0.0001), Anaerostipes (p=0.00161) and Blautia (p=0.00103) and an increase in Lachnoclostridium (p=0.00179) were observed after the first BNT162b2 vaccine. (C) Heat-map depicting several significantly higher (red) or lower (blue) (*p<0.05; Wald test) baseline microbial counts in high (quartile 4) vs low (quartile 1) BTN162b2 vaccine responders across several immune parameters. (D) Several gut microbiota species were significantly positively or negatively associated (p<0.01; Wald test) with higher total relative fractional avidity after the second dose of the BNT162b2 vaccine in a subset of participants (n=15). Refer to online supplemental table S2 for the specific species names and p values. (E) Baseline total branched-chain fatty acid (BCFA) concentrations were negatively correlated with RBD IgG (p=0.02, r=−0.35; Spearman rank) and Spike IgG levels (p=0.017, r=−0.36; Spearman rank), isovaleric acid concentrations were negatively associated with RBD IgG (p=0.015, r=−0.37; Spearman rank) and competitive binding antibody (p=0.026, r=−0.34; Spearman rank), and Spike IgG (p=0.013, r=−0.38; Spearman rank) and competitive binding antibody levels (p=0.034, r=−0.32; Spearman rank), and baseline isobutyric acid concentrations were negatively associated with Spike IgG levels (p=0.047, r=−0.29; Spearman rank). (F) High dietary fibre consumers had a significantly greater change in total relative fractional avidity from the first to second BNT162b2 dose compared with low and moderate dietary fibre consumers (p=0.029; Mann-Whitney). (G) High dietary fibre consumers experienced a reduction in total BCFAs (p=0.164, adjusted t-test), isovaleric (p=0.189, adjusted t-test) and isobutyric acid (p=0.213 adjusted t-test) concentrations (−0.186 to –0.198 and −0.177 mean fold change, respectively) after BNT162b2 vaccination, whereas low dietary fibre consumers experienced an increase in total BCFAs, isovaleric and isobutyric acid concentrations (0.08, 0.08 and 0.08 mean fold change, respectively).
Ng et al 1 also identified strong associations between baseline gut microbiota composition and serological IgG responses to BNT162b2 vaccination. After stratifying participants as low or high vaccine responders, they showed higher abundances of Eubacterium rectale, Roseburia faces, Bacteroides thetaiotaomicron and Bacteroides spp OM05-12 were associated with stronger BNT162b2 vaccine responses. Correspondingly, in our cohort, several baseline bacterial taxa significantly differed between participants with low versus high BNT162b2 vaccine responses. Specifically, we observed higher baseline counts of Prevotella, Haemophilus, Veillonella and Ruminococcus gnavus taxa in participants with higher RBD and Spike competitive binding antibody and IgG levels (p<0.01; figure 1C). Additional studies are needed to ascertain the clinical significance of these findings. However, together with Ng et al,1 these findings further support that differences in microbiome composition and/or function modulate antibody responses to SARS-CoV-2 vaccination. Interestingly, a study recently discovered that SARS-CoV-2 specific T cells can also cross-react with microbial peptides from commensals (including Prevotella spp) and undefined faecal lysates.2 Considering that individuals with milder COVID-19 showed higher frequencies of cross-reactive SARS-CoV-2 T cells3 it is plausible that microbe-based stimulation of SARS-CoV-2-reactive T or B cells could modulate SARS-CoV-2 vaccine responses. Consistent with Ng et al 1 we demonstrated an association between a gut microbiome signature at baseline and SARS-CoV-2 vaccine immunogenicity; however, the specific bacterial taxa associated with vaccine responses differed between cohorts. This is possibly due to differences in geography (Hong Kong vs Canada), dietary habits and/or microbiome sampling/analysis methods.
Moving beyond antibody levels, we explored the associations between BNT162b2 vaccine-induced antibody avidity maturation (ie, the ratio of low to high IgG antibody avidity to the Spike protein4 5) and specific gut microbiome signatures, in a subset of participants (n=15). Multiple bacterial taxa were negatively (ie, Bifidobacterium bifidum, Acidaminococcus intestini) or positively (ie, Bifidobacterium animalis, Bacteroides plebeius, Bacteroides ovatus) associated with enhanced antibody avidity (p<0.01; figure 1D), with several species having known immunomodulatory properties. Most notably, Bacteroides ovatus induces increased production of IgM and IgG antibodies specific to human cancer cells.6 Additionally, Bifidobacterium animalis can significantly increase vaccine-specific IgG production after seasonal influenza vaccination.7 Thus, these observations provide further evidence that gut bacterial species may enhance functional binding of IgG elicited by BNT162b2 vaccination.
We also examined the potential link between the functional capacity of the gut microbiome and habitual diets, with BNT162b2 vaccine response. Our data suggest that microbial-derived branched-chain fatty acids (BCFA) isovaleric and isobutyric acids, produced via protein fermentation, may reduce vaccine responses (p<0.05; figure 1E). BCFA concentrations are known to be higher in patients with immune-mediated conditions such as inflammatory bowel disease8; however, little is known about the mechanisms by which BCFAs modulate inflammation or antibody-mediated vaccine responses. Interestingly, Megasphaera spp, which were negatively associated with vaccine responses, are prominent isovaleric and isobutyric acid producers.9 Future research is needed to explore the potential impact of BCFAs on SARS-CoV-2 vaccine immunogenicity.
Lastly, no research has elucidated the role distinct dietary intakes have on SARS-CoV-2 vaccine responses. Therefore, we determined whether differing dietary fibre (microbial substrate) intakes affected IgG binding strength. We observed that the change in avidity between the first and second BNT162b2 dose was significantly greater in high fibre consumers (p=0.029; figure 1F). This further suggests that dietary fibre intakes may modulate BNT162b2 vaccine response maturation. Interestingly, high fibre consumers also experienced a reduction in total BCFAs post vaccination (p=0.164; figure 1G), signifying a potential mechanistic link between fibre intake, BCFA production and SARS-CoV-2 vaccine immunogenicity.
In summary, these data, while exploratory, validate findings from Ng et al,1 reinforcing a potential link between the gut microbiome and SARS-CoV-2 mRNA vaccine antibody responses. This study further expands on these findings and shows, for the first time, that BCFA levels may negatively impact, while dietary factors, such as fibre intake, may enhance BNT162b2 immunogenicity. Studies are currently underway to explore the therapeutic benefit of microbiome-modulating interventions to enhance SARS-COV-2 vaccine immunogenicity.10 Considering that the effectiveness of most SARS-CoV-2 vaccines are high, but relatively short-lived, especially in vulnerable age and medical groups, the gut microbiome could represent a simple, yet powerful way to optimise long-term protection or improve recovery after infection.
Supplemental material
Ethics statements
Patient consent for publication
Ethics approval
This study was approved by the University of British Columbia Clinical Research Ethics Board (H20-01205).
Acknowledgments
We would like to take the opportunity to thank all the study participants for providing stool and blood samples and volunteering their time to our study. We would like to thank Lauren Muttucomoroe, Tisha Montgomery, Maria Laura Munoz and Azita Harriran for helping recruit and collect samples from participants, and the BC Children’s Hospital Research Institute Gut4Health Microbiome Sequencing CORE and the University of British Columbia Sequencing and Bioinformatic Consortium for undertaking 16S rRNA sequencing. We also thank Mr. Roger Dyer for analysing the stool short-chain fatty acids and the Weston Family Microbiome Initiative and Canadian Institutes of Health Research for providing the funding to undertake this study.
Supplementary materials
Supplementary Data
This web only file has been produced by the BMJ Publishing Group from an electronic file supplied by the author(s) and has not been edited for content.
Supplementary Data
This web only file has been produced by the BMJ Publishing Group from an electronic file supplied by the author(s) and has not been edited for content.
Footnotes
Twitter @genellehealey
Correction notice This article has been corrected since it published Online First. The first author's name has been corrected and figure 1 replaced.
Contributors GRH, PML and BAV conceived and designed the study. LG coordinated patient recruitment and assisted with blood sample processing with AM. LG undertook the vaccine response experimental design, execution, and analyses. GRH assembled stool collection kits, undertook the dietary fibre analysis, and prepared stool samples for sequencing and short-chain fatty acid analysis. AS undertook the statistical and bioinformatic analyses. GRH wrote the manuscript with significant input from all co-authors.
Funding This study was funded by the Weston Family Microbiome Initiative (grant ID GR018179), Canadian Institutes of Health Research (grant ID PJT-159528) and the Government of Canada through the COVID-19 Immunity Task Force (grant ID AWD-016994). BAV is the CHILD Foundation Chair in Pediatric Gastroenterology. GRH was awarded a Michael Smith Health Research BC Trainee Award. PML receives salary support from the BC Children’s Hospital Foundation through the Investigator Grant Award Programme.
Competing interests None declared.
Provenance and peer review Not commissioned; externally peer reviewed.
Supplemental material This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.