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. 2024 Jan-Dec;16(1):2304160.
doi: 10.1080/19490976.2024.2304160. Epub 2024 Jan 18.

Tunable control of B. infantis abundance and gut metabolites by co-administration of human milk oligosaccharides

Affiliations

Tunable control of B. infantis abundance and gut metabolites by co-administration of human milk oligosaccharides

Abigail L Reens et al. Gut Microbes. 2024 Jan-Dec.

Abstract

Precision engineering of the gut microbiome holds promise as an effective therapeutic approach for diseases associated with a disruption in this microbial community. Engrafting a live biotherapeutic product (LBP) in a predictable, controllable manner is key to the consistent success of this approach and has remained a challenge for most LBPs under development. We recently demonstrated high-level engraftment of Bifidobacterium longum subsp. infantis (B. infantis) in adults when co-dosed with a specific prebiotic, human milk oligosaccharides (HMO). Here, we present a cellular kinetic-pharmacodynamic approach, analogous to pharmacokinetic-pharmacodynamic-based analyses of small molecule- and biologic-based drugs, to establish how HMO controls expansion, abundance, and metabolic output of B. infantis in a human microbiota-based model in gnotobiotic mice. Our data demonstrate that the HMO dose controls steady-state abundance of B. infantis in the microbiome, and that B. infantis together with HMO impacts gut metabolite levels in a targeted, HMO-dependent manner. We also found that HMO creates a privileged niche for B. infantis expansion across a 5-log range of bacterial inocula. These results demonstrate remarkable control of both B. infantis levels and the microbiome community metabolic outputs using this synbiotic approach, and pave the way for precision engineering of desirable microbes and metabolites to treat a range of diseases.

Keywords: B. infantis; Bifidobacterium; Gut microbiome; Human milk oligosaccharides (HMO); Live biotherapeutic product (LBP); gut microbiota; microbiome modulation; synbiotic.

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Conflict of interest statement

Prolacta Bioscience employees are also shareholders in the company. U.S. Patent No. 8,927,027, U.S. Patent Application No. 20200054035, International Application Pub. Nos. WO 2021/061991 and WO 2022/036225, and their corresponding family member patents and applications relate to aspects of this work.

Figures

Figure 1.
Figure 1.
HMO dose determines steady-state abundance of B.infantis. (a) Gnotobiotic mice were colonized with healthy human adult stool #R01 and allowed to acclimate for 1 week, prior to treatment with 1 × 108 CFU B. infantis and different amounts of HMO twice daily. Control arms included B. infantis treatment with vehicle (no HMO) and 32 mg HMO per dose without B. infantis. (b,c) 16S gene copy number, and B. infantis abundance in fecal pellets relative to total 16S gene copy number, were determined using qPCR. For samples with B. infantis signal at or below the limit of detection, values were imputed as one-half the lowest observed abundance. Data are from two independent experiments carried out under the same conditions. Data are geometric mean and geometric standard deviation, n = 4–8 per group. Significance between groups was calculated using a mixed effects model for repeated measures of log-transformed data with the Bonferroni-Sidak correction for multiple comparisons; asterisks represent statistically significant differences in the time versus treatment interaction factor for the indicated pair of conditions. (d) Individual traces for each mouse. (e) Steady state B. infantis abundance for groups receiving 1 mg HMO or higher per dose, determined as the geometric mean of values for days 12, 14, and 17 for each mouse in the indicated HMO dose groups. p-values were calculated for log-transformed data using one-way ANOVA.
Figure 2.
Figure 2.
Metabolite analysis of cecal contents from mice treated with B. infantis and different doses of HMO. The indicated metabolites were quantified in cecal contents. (a) Heatmaps displaying the geometric mean of the metabolite quantification for each HMO dose group on day 17, log-transformed and normalized to that of the group receiving 0 mg HMO. Asterisks represent p-values compared to the 0 mg HMO group calculated using one-way ANOVA with Sidak’s posttest. (b) Geometric mean and geometric standard deviation of metabolites in cecal contents, and p-values between the indicated dose groups calculated by one-way ANOVA on all groups with Sidak’s multiple comparison test.
Figure 3.
Figure 3.
B.infantis expands at a similar rate regardless of starting inoculum level. (a) Gnotobiotic mice colonized with healthy human adult stool #R02 were treated with the indicated CFU of B. infantis along with HMO (16 mg) or PBS twice daily. (b,c,d) 16S gene copy number, and B. infantis abundance in DNA extracted from fecal pellets relative to total 16S gene copy number, were determined using qPCR. Data are geometric mean and geometric standard deviation for mice receiving B. infantis with HMO (b,c) or with PBS (b,d); n = 8 for groups dosed over days 0–2 from two independent experiments (solid line HMO; dotted line PBS); n = 4 for groups dosed only on day 0 in a single experiment (hatched line HMO). For samples with B. infantis signal at or below the limit of detection, values were imputed as one-half the lowest observed abundance. Significance between groups was calculated using a mixed effects model for repeated measures of log-transformed data with the Bonferroni-Sidak correction for multiple comparisons; asterisks represent statistically significant differences in the time versus treatment interaction factor for the indicated pair of conditions. (e,f) Individual traces for each mouse dosed over days 0–2 from the data plotted in (c); 4 mice in each dose cohort continued receiving HMO to day 14 (e), and the other 4 received vehicle from days 11–14 (f). (g) Linear regression of log-transformed abundance data for all mice dosed over days 0–2 with HMO dosing through day 10. Timepoints for which B. infantis was below limit of detection in the 1 × 103 or 5 × 104 dose groups were omitted to improve regression. (h) The number of doublings of B. infantis per day for each group of mice was captured from the slope of the regression lines presented in (e). (i) Quantification of B. infantis inoculum for each dose in both studies.

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