- 1Neuroscience Department, Wellesley College, Wellesley, MA, United States
- 2University of Massachusetts Chan Medical School, Worcester, MA, United States
- 3Center for Microbiome Research, Department of Microbiology and Physiological Systems, University of Massachusetts Chan Medical School, Worcester, MA, United States
- 4University of Massachusetts Chan Medical School, Worcester, MA, United States
- 5Laboratory of Microbiology, Wageningen University, Wageningen, Netherlands
- 6University of Helsinki, Helsinki, Finland
- 7Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States
Estrogens protect against weight gain and metabolic disruption in women and female rodents. Aberrations in the gut microbiota composition are linked to obesity and metabolic disorders. Furthermore, estrogen-mediated protection against diet-induced metabolic disruption is associated with modifications in gut microbiota. In this study, we tested if estradiol (E2)-mediated protection against obesity and metabolic disorders in female mice is dependent on gut microbiota. Specifically, we tested if fecal microbiota transplantation (FMT) from E2-treated lean female mice, supplemented with or without Akkermansia muciniphila, prevented high fat diet (HFD)-induced body weight gain, fat mass gain, and hyperglycemia in female recipients. FMT from, and cohousing with, E2-treated lean donors was not sufficient to transfer the metabolic benefits to the E2-deficient female recipients. Moreover, FMT from lean donors supplemented with A. muciniphila exacerbated HFD-induced hyperglycemia in E2-deficient recipients, suggesting its detrimental effect on the metabolic health of E2-deficient female rodents fed a HFD. Given that A. muciniphila attenuates HFD-induced metabolic insults in males, the present findings suggest a sex difference in the impact of this microbe on metabolic health.
Introduction
Loss of estrogens during menopause causes weight gain, resulting in an increased risk of metabolic, cardiac, inflammatory, osteopathic, and neurological disorders (1–4). Protection against diet-induced obesity, hyperglycemia, hyperlipidemia, and insulin resistance are mediated by estrogens in women and in female rodents (5–9). E2-dependent protection against HFD-induced obesity is associated with increased physical activity and basal energy expenditure and improvements in systemic insulin sensitivity and glucose metabolism (7, 9).
Gut microbiota profoundly impact host metabolism. Metabolic syndrome, characterized by adiposity, hyperlipidemia and hyperglycemia, is associated with changes in gut microbiota (10–12). Manipulation of gut microbiota, by depletion via antibiotics (12–16), administration of specific bacteria (17–20), or transplantation of fecal/caecal microbiota (14, 21, 22) can improve metabolism, in male rodents and men. In particular, the abundance of bacteria belonging to the Verrucomicrobia and its dominant intestinal genus Akkermansia, are negatively associated with obesity in men and women (23–26). Akkermansia muciniphila is a mucin utilizer and producer of short chain fatty acids, which have anti-inflammatory properties and are primary nutrients for intestinal endocrine cells (27–29). Moreover, A. muciniphila produces signaling proteins, such as the 33-kD Amuc_1100, that interact with the Toll-like 2 receptor and improve barrier function (19, 30).
In male mice fed a HFD, A. muciniphila supplementation attenuated obesity and inflammation and improved insulin signaling (17, 19, 31, 32). Only a few studies have investigated the effects of Akkermansia in women. In postmenopausal women, Akkermansia was negatively correlated with insulin resistance and dyslipidemia (33). Furthermore, heat-killed A. muciniphila administration attenuated body weight, fat mass, and hip circumference in obese women and men (18).
There is increasing evidence that estrogens can influence gut microbiota (34–36). Postmenopausal women have higher Prevotella and lower Lachnospira and Roseburia relative abundances, and a lower Firmicutes/Bacteroidetes ratio, when compared to premenopausal women (37). The differences in gut microbiota were attenuated between postmenopausal women and men, and between gonadectomized male and female rats, although baseline sex differences in gut microbiota persist even after the depletion of gonadal estrogens (37, 38). It is possible that these sex differences start during puberty as girls were found to develop towards an adult microbiota earlier than boys (39). Intake of phytoestrogens in women was found to increase beneficial microbes including Lactobacillus, Enterococcus and Bifidobacterium (40, 41). Ovariectomy or E2 treatment, in wild-type as well as ob/ob (leptin-deficient) mice, altered gut microbiota (7, 42–45). Interestingly, while HFD or a high-fat high-sugar diet decreased relative Akkermanisa levels in male mice (17, 31, 46), these were increased in HFD-treated female mice, with a further increase in E2-treated groups (7). This sex difference in Akkermansia modulation in response to a change in diet indicates a critical need to examine the functions of gut microbiota, including Akkermansia supplementation, on female metabolic health. Therefore, in this study, using female mice, we tested if fecal microbiota transplantation (FMT) from E2-treated lean mice, with or without A. muciniphila supplementation, protects E2-deficient mice against HFD-induced metabolic insults.
Materials and methods
Animal experiments were performed at the University of Massachusetts Chan Medical School and Wellesley College. All procedures were approved by the Institutional Animal Care and Use Committees of University of Massachusetts Chan School and Wellesley College and performed in accordance with National Institutes of Health Animal Care and Use Guidelines.
Animals
Ten-week-old female C57BL/6J mice were housed 3-4/cage on a 12h light-dark cycle, with ad libitum food and water. Mice were ovariectomized and silastic capsules filled with 17β-estradiol (E2, 50 μg in 25 μl of 5% ethanol/sesame oil), or vehicle (Veh, 25 μl of 5% ethanol/sesame oil) were subcutaneously implanted as described previously (6, 7, 44, 47).
Diet
Both donor and recipient female mice were fed phytoestrogen-free standard chow (13% kCal from fat, LabDiet, #5V75R) until they were switched to HFD containing 60% kCal fat (#D12492, Open Sources Diet, USA) for the remainder of the study.
Experiment 1: Fecal microbiota transplantation and cohousing study: Impact on metabolism
Antibiotic administration
To allow an efficient colonization of the donor microbiota by initially depleting native microbiota, all recipients were administered an antibiotic cocktail of ampicillin (1 g/L; #A0166, Sigma-Aldrich, USA), vancomycin (500 mg/L; #PHR1732, Sigma-Aldrich, USA) neomycin (1 g/L; #N6386, Sigma-Aldrich, USA), and metronidazole (1 g/L; #M3761, Sigma-Aldrich, USA) (AVNM), as described previously (48), for a total of 9 days in drinking water. This antibiotic cocktail regimen has been shown to be effective in reducing up to 90% of the native bacterial community and depletes most groups of microbes (e.g., gram positive, gram negative and anaerobes) in male and female mice (49–51).
Fecal microbiota transplantation
Fresh fecal samples from mice of the same treatment group were collected and pooled on the morning of the gavage, as described previously (48). FMT was diluted in PBS buffer (0.01M) reduced with 0.5% L-cysteine HCl (1:10), in an anaerobic chamber. Anaerobic environment was created by purging with gas mix (5% H2/10% CO2/85% N) 2-3 times, until the chamber gas reading was 3% H2 and 0 ppm O2. Up to 500µL of reduced PBS buffer was added to 10-15 fecal pellets and gently lysed until no visible pieces were present. FMT mixture was filtered using 70 µm mesh filter and diluted in PBS buffer to bring to a final concentration of 100 mg/ml. Following antibiotic treatment, recipients orally gavaged with 150 µL of 100mg/mL FMT (52, 53). FMT was started on D10 and continued for a total of 9 doses (Figure 1A). The days of FMT for the recipients were matched to the days of the fecal sample collection from the donors (e.g. on D12, the recipients received FMTs from fecal samples that were collected on D12 from the donors). V-V and V-E recipients received FMT gavage from Veh and E2 donors, respectively.
Figure 1 Estradiol treatment but not fecal microbiota transplant (FMT), attenuated obesity and hyperglycemia in female mice on HFD. (A): FMT and cohousing study design and timeline. Mice were fed phytoestrogen-free chow till D11, then switched to HFD. Mice treated with E2 (E donor, n = 7) or Veh (V donor, n = 7) were used as FMT donors. All recipients received Veh implants. V-V and V-E recipients got FMT from V donors or E donors, respectively. Recipient mice were administered antibiotic cocktail for 9 days and starting on D10, were orally gavaged with 9 doses of FMT, on alternate days. G denotes FMT gavage days. (B) Body weight; (C) Fat mass. For (B, C), repeated measures ANOVA, separately on recipients and donors, followed by a t-test. *denotes p < 0.05 between E2 donors and Veh donors). (D) 5h-fasting blood glucose on D19, after one week on HFD. Two-way ANOVA followed by Tukey post-hoc (*p < 0.05). V donor, mice with Veh implants used as FMT donors; E donor, E2-treated mice used as FMT donors; V-V, Veh mice receiving FMT from V donor; V-E, Veh mice receiving FMT from E donor.
Metabolic measurements
Body weight and body composition (lean/fat mass, using 1H-MRS) were measured throughout the study (Figure 1A). Blood glucose levels during a five-hour fasting period were measured during chow feeding (D9), a week after the start of HFD (D19) and at the end of the study (D43), to assess the effect of transplanted gut microbiota on glucose homeostasis.
Statistical analysis
The effects of E2 and FMT on HFD-induced longitudinal metabolic changes, starting on D10 (1st FMT gavage day), including body weight, fat mass, and lean mass were separately analyzed by a two-way repeated measures ANOVA, followed by a Student’s t-test for the days when an effect was present (Jamovi, v 1.8.4.0). A two-way ANOVA followed by a Tukey’s HSD post-hoc was used to measure the effects of E2 and FMT on blood glucose levels across groups.
Experiment 2: A. muciniphila-enriched FMT: Impact on metabolism and gut microbiota
Diet and antibiotic administration
Recipient mice were treated as described above except that the AVNM cocktail was administered for 14 days (49, 51, 54), and HFD was introduced on D14 (Figure 2A).
Figure 2 Estradiol treatment, but not fecal microbiota transplant (FMT) from lean E2-treated mice supplemented with A. muciniphila, protected ovariectomized mice from HFD-induced obesity. (A) A. muciniphila-enriched FMT study design and timeline. Recipient mice were administered antibiotic cocktail for the first 14 days. The three recipient groups, 1) Veh mice receiving FMT from Veh mice (V-V, n = 4); 2) Veh mice receiving FMT from E2 mice following enrichment with Akkermansia cells (V-EA, n = 4), and 3) E2-implanted mice receiving FMT from E2 mice (E-E, n = 4) were orally gavaged with a total of 6 gavages on alternate days, starting on D15 and excluding D17. G denotes FMT gavage days; F denotes fresh fecal sample collection days. (B) Body weight and (C) Fat mass. *denotes days when E-E groups differ from V-V and V-EA; # denotes days when E-E differ from V-EA only (p < 0.05, RM ANOVA, Tukey post-hoc). V-V: mice with Veh implants receiving FMT from Veh mice; E-E: E2-treated mice receiving FMT from E2 mice; V-EA: mice with Veh implants receiving FMT from E2-treated mice with A. muciniphila supplementation.
A. muciniphila-supplemented FMT preparation and administration
A muciniphila MucT (ATTC BAA-835) cells were grown in a synthetic medium containing 16 g/l soy-peptone, 4 g/l threonine, and a mix of glucose and N-acetylglucosamine (25 mM each) under strictly anaerobic conditions (19). Cells were then washed in reduced PBS with 25% (vol/vol) glycerol and immediately frozen at −80°C. Within two hours prior to the gavage, fecal pellets were lysed in reduced 0.01M PBS buffer (containing 0.05% L-cysteine HCl) in anaerobic chamber, as described above in Experiment 1 (19). For transfer to the experimental laboratory, the cells were shipped in dry ice, and upon receipt, were quickly aliquoted in smaller volumes for daily gavages on ice under strict anaerobic conditions and stored at -80 C.
Within two hours prior to each gavage, FMT were prepared as described above. A. muciniphila preparations were thawed on ice and immediately mixed with the fresh FMT. V-EA recipients (n=4) received 150 μl of oral gavage containing 40mg/mL of FMT supplemented with 2 × 108 A. muciniphila. A. muciniphila-supplemented FMT were started on D15 and gavaged every other day for a total of 6 doses (Figure 2A). Control V-V (n=4) and E-E (n=4) mice were similarly gavaged with FMT from Veh or E2 mice, respectively, without A. muciniphila cells supplementation.
Metabolic phenotyping
To assess the HFD-induced metabolic changes as an effect of FMT from lean E2-treated mice supplemented with A. muciniphila, food and water intake, respiration, energy expenditure, and locomotor activity were measured in awake mice after 10 days on HFD (D28-D31; Figure 2A) using metabolic cages (TSE Systems, Germany), as described previously (7, 55). Resting energy expenditure (EE) and respiratory exchange ratio (RER) were derived from O2 consumption and CO2 production data. Body weight and body composition (lean/fat mass) were measured throughout the study using 1H-MR spectroscope (EchoMRI, Houston, TX, USA).
Measurement of glucose homeostasis
Fasting blood glucose was measured weekly starting with HFD feeding and FMT administration. On day 45 following overnight fasting, a glucose tolerance test (GTT) was performed to measure insulin sensitivity. In brief, 20% glucose at 1g/kg BW was injected i.p. and glucose measurements were taken at 0, 15, 30, 60, 90, and 120 mins following injection. Mice were euthanized immediately following GTT.
Fecal DNA extraction
Fecal samples were collected from donor and recipient mice throughout the study to confirm the microbial transfer in recipients and to examine the association between gut microbiota and host metabolism. Fresh fecal samples were collected, immediately frozen in dry ice, and stored at -80°C. Total DNA was extracted from fecal pellets using the DNeasy PowerSoil Kit (Cat #12888, Qiagen, USA) following the manufacturer’s protocol.
Microbial 16S rRNA gene sequencing
16S rDNA community profiling
Microbiome community profiling of fecal DNA was performed by 300nt paired-end 16S rRNA gene sequencing of the V3-4 region on the Illumina MiSeq platform as described (56). The UPARSE/SINTAX pipeline (usearch v10.0.240_i86linux6, rdp_16s_v18.fa) (57) was used to define OTUs and assign taxonomic classifications.
Statistical analysis
Metabolic data
To examine the combined effects of Akkermansia enrichment and FMT from lean E2-treated mice on HFD-induced metabolic changes, longitudinal data starting on D17 (after the first FMT and the start of HFD), including body weight, fat mass, lean mass, blood glucose, and glucose tolerance test (GTT) were analyzed, as described above in Experiment 1. Data from metabolic cage experiments were analyzed using one way ANOVA, or ANCOVA using body weight immediately prior to the metabolic cages as a covariate (VO2 and VCO2), followed by a Tukey posthoc test.
Microbial data analysis
Prior to analysis, OTUs which failed to classify to at least the taxonomic Family level were removed to reduce spurious OTUs. Abundances were summed according to assigned taxonomic classifications for analysis at higher taxonomic levels. Analysis was conducted using either QIIME2 (ver. 2021.4) (58) or MaAsLin2 (ver. 1.8.0) (59) as appropriate. For multiple comparisons, FDR corrections were done and q<0.1 was considered significant.
Results
Experiment 1: Effect of FMT and cohousing on energy metabolism in female mice
E2 treatment prevented body weight gain, fat mass gain, and hyperglycemia in adult female mice
In order to assess the effects of E2 on body composition, ovariectomized mice receiving implants of estradiol (E2, n=7) or vehicle (Veh, n=7), were analyzed for changes in body weight and fat mass. In contrast to the recipient mice (below), these animals served as E2 donors and Veh donors, and did not receive antibiotic treatment.
E2 prevented weight gain over 6 weeks (Figure 1B). Veh groups weighed more than E2-treated mice after 3 days on HFD (D14) through the end of the study (Figure 1B). Moreover, E2 attenuated fat mass gain compared to Veh mice (E-donor and V-donor, respectively; Figure 1C). As reported previously (7) lean mass was not affected by E2 treatment (data not shown). E2 also prevented hyperglycemia in mice fed HFD for a week (Figure 1D), with this effect maintained after 4 weeks on HFD (after 6 weeks of E2 implant; T-test, p<0.001; 95%CI [-77.3, -40.4].
FMT and cohousing does not protect Veh animals from HFD-induced obesity
Ten-week old ovariectomized C57BL/6J recipient mice were divided into 2 groups: 1) Veh implanted recipients that received FMT from V-donor mice (V-V, n=5) and 2) Veh implanted recipients that received FMT from E2-treated donor mice (V-E, n=6). In addition to the FMT, V-V and V-E recipients were cohoused with Veh and E2 mice, respectively, at a ratio of 1:1 to transfer microbiota via coprophagy (60), starting on the last day of antibiotic treatment (Figure 1A). FMT did not protect recipient against HFD-induced body weight and fat mass gain (Figures 1B, C). While FMT and cohousing with E2-treated lean mice did not affect blood glucose levels, a trend (p=0.07, one-tailed t-test) towards a decrease was detected in V-E recipients compared to V-V on D19 (Figure 1D).
Experiment 2: Effect of A. muciniphila-supplemented FMT on metabolism and gut microbiota
Ten week-old female ovariectomized C57BL/6J E2- or Veh-implanted mice (n=7/group)were group-housed with 3 mice/cage. As in the Experiment 1, the FMT gavage days in recipients were matched with the fecal sample collection days in donors. Recipients were divided into 3 groups with: 1) Veh implants receiving FMT from Veh mice (V-V; n=4), 2) Veh implants receiving FMT from E2-treated mice supplemented with A. muciniphila cells immediately prior to gavage (V-EA; n=4) and 3) E2 implants receiving FMT from E2-treated mice (E-E; n=4) (Figure 2A). FMT from E2-treated lean mice supplemented with A. muciniphila did not prevent body weight and fat mass gain in ovariectomized mice.
E-E mice gained less body weight (Figure 2B) and fat mass (Figure 2C) compared to both Veh groups, V-V and V-EA. Longitudinal analysis showed that E-E mice weighed less than V-EA mice from D23 and through the rest of the study (Figure 2B). Similarly, E-E mice weighed much less than V-V mice, on D27, D29 and D32-D35 (p<0.05; Figure 2B). Compared to the E-E group, the weight gain in the V-V and V-EA mice was mostly due to fat weight starting on D25 (Figure 2C).
Unlike E2 treatment, FMT from E2-treated lean mice supplemented with A. muciniphila did not prevent weight gain or fat mass in recipient females. While the body weight of V-EA mice tended to be slightly higher than V-V controls a week after the last FMT (Figure 2), this effect was not significant (p=0.16). As in Experiment 1 described above, lean mass was not affected by E2 treatment or FMT.
E2 treatment improved glucose homeostasis in female mice, but A. muciniphila-supplemented FMT from E2-treated lean mice impaired glucose homeostasis
Fasting blood glucose levels were measured weekly in recipient mice during HFD feeding. E-E mice had lower blood glucose compared to both V-EA and V-V groups on D25, and V-EA on D32 (Figure 3A), indicating protection from HFD-induced hyperglycemia.
Figure 3 Estradiol treatment protected, while A. muciniphila-supplemented fecal microbiota transplant (FMT) from E2-treated lean mice exacerbated, HFD-induced hyperglycemia in female mice. (A) Blood glucose levels during HFD feeding, (B) Glucose tolerance test (GTT) measured on D45. *denotes differences across E-E, V-EA, and V-V. # denotes differences between E-E and V-EA (*, # p < 0.05, t-test). E-E, E2-treated mice receiving FMT from E2 mice (n = 4); V-V, mice with Veh implants receiving FMT from Veh mice (n = 4); V-EA, mice with Veh implants receiving FMT from E2-treated mice supplemented with A. muciniphila (n = 4).
To assess the effects of E2 on insulin sensitivity, GTT was measured in recipients following overnight fasting and injection of 20% glucose (i.p., 1g/kg body weight) (61). GTT blood glucose was increased in both V-V and V-EA groups compared to E-E mice at 90 and 120 mins following injection (Figure 3B).
Unlike E2 treatment, FMT from E2 mice supplemented with A. muciniphila increased fasting glucose levels in V-EA compared to V-V controls on D25 (p<0.05, t-test; Figure 3A), suggesting a negative impact of FMT supplemented with Akkermansia on glucose homeostasis in female mice. However, A. muciniphila-supplemented FMT had no effect on GTT glucose levels (Figure 3B).
E2 treatment, but not A. muciniphila-supplemented FMT from E2-treated lean mice, attenuated energy intake and expenditure in HFD-fed female mice
To test if E2-mediated protection against HFD-induced obesity is associated with energy intake, food and water consumption were measured in female mice, using metabolic cages. E-E groups ate less during 24h and showed a strong trend towards a decrease during night (p=0.062), compared to V-EA groups. E2 increased physical activity during night in E-E mice compared to V-V and V-EA mice. In all treatment groups, food intake and physical activity peaked at 2h after light-off and an hour before the light-on phase (Supplemental Figure 1). Additionally, E2 increased basal energy expenditure and VO2 consumption and showed a strong trend towards an increase in VCO2 production (p=0.06) during night, compared to V-V groups (Figure 4). Similarly, V-EA groups showed a slight trend towards an increase in energy expenditure compared to E-E mice (p=0.08).
Figure 4 Estradiol, but not fecal microbiota transplant (FMT) from E2-treated mice supplemented with A. muciniphila, protected against changes in energy intake and expenditure in HFD-fed female mice. (A) Food intake, (B) Water intake, (C) Physical activity, (D) Energy expenditure, (E) VO2 consumption, and (F) VCO2 production were measured in metabolic cages on D18–21 (A–D): *p < 0.05, ANOVA, Tukey post-hoc; (E): *p < 0.05, ANCOVA, Tukey post-hoc). E-E, E2-treated mice receiving FMT from E2 mice (n = 4); V-V, mice with Veh implants receiving FMT from Veh mice (n = 4); V-EA, mice with Veh implants receiving FMT from E2-treated mice supplemented with A. muciniphila (n = 4).
In contrast to E2, FMT from E2-treated animals supplemented with A. muciniphila did not improve any metabolic measures. Taken together, these data suggest that E2 regulates energy homeostasis, in part by decreasing energy intake and increasing energy expenditure, whereas FMT has no effect.
Antibiotic treatment profoundly decreased gut microbiota in adult female mice
Fecal DNA was used to generate 16S rRNA amplicons that were sequenced at 0, 1 and 2 weeks to examine the effect of the two week-long antibiotic treatment. A longitudinal analysis of gut microbiota during antibiotic treatment showed an effect of time (F(2,20)=15, p=0.036) on diversity (Faith’s PD (62). Specifically, D14 diversity differed from D1 (ANOVA, p=0.038) and showed a trend towards a decrease compared to D7 (ANOVA, p=0.06; Figure 5A). Similarly, β-diversity (weighted UniFrac), showed that the D1 microbiome was significantly different from D7 and D14 (q=0.001; pairwise PERMANOVA) (Figure 5B; Table 1), where the effect of antibiotic was explained by principal component 1(67%). Taken together, these results confirm that antibiotics deplete microbial community as early as within one week of the treatment.
Figure 5 Antibiotics altered gut microbiota α-diversity and β-diversity in adult female mice. Mice received antibiotics in drinking water for two weeks. Starting on D15, mice received a total of 6 doses of FMT gavage with (V-EA) or without A. muciniphila (E-E and V-V) supplementation. (A) Faith phylogenetic diversity (PD) (± SEM) over time. Gut microbiota data from D23 and D27 (n = 8) were aggregated to isolate the effect during FMT, and D32 and D39 (n = 8), after the FMT was discontinued. (B) Principal component plot showing weighted Unifrac distance between microbiota communities during antibiotic treatment. E-E, E2-treated mice receiving FMT from E2 mice; V-V, mice with Veh implants receiving FMT from Veh mice; V-EA, mice with Veh implants receiving FMT from E2-treated mice, supplemented with A. muciniphila.
The effect of antibiotics on taxonomic abundances was examined by combining the three treatment groups within each day for D1-D14 data and comparing across days. Multiple Clostridium species, Oscillibacter, Coprococcus, Anaerotruncus and Eubacterium were decreased on both D7 and D14 compared to D1. An additional 12 taxa, including Bacteroides, Anaeroplasma, Turicibacter, and Acetatifactor, were decreased on D14, compared to D1 as an effect of antibiotic treatment (Table 1; Figure 6). Aberrations in the fecal communities, including increased levels of multiple Bacillus, Rhizobium, Pantoea, Corynebacterium, and Lactococcus spp., were observed due to antibiotic treatment on D7 and D14. Thirteen additional taxa, including Akkermansia, Bifidobacterium, Romboutsia and Devosia, were increased on D7, compared to D1. Other taxa, such as Prevotella, Fecalibacterium, Mycobacterium, and Methalobacterium, were increased on D14 only compared to D1 (Table 1; Figure 6).
Figure 6 Estradiol, antibiotics, and fecal microbiota transplant (FMT) from E2-treated lean mice supplemented with A. muciniphila altered gut microbiota α-diversity and β-diversity in adult female mice. Mice were administered antibiotics for two weeks. From D15, mice received 6 total doses of FMT gavage with (V-EA) or without (E-E and V-V) A. muciniphila supplementation. (A) Principal component plot showing weighted Unifrac distance for microbial communities during [●: D17; o: D23 and D27 aggregate (n=8)] after FMT [▽: D32 and D39 aggregate (n=8)]. (B) Microbiota taxa relative abundances at the genus level, across treatment days. E-E, E2-treated mice receiving FMT from E2 mice; V-V, mice with Veh implants receiving FMT from Veh mice; V-EA, mice with Veh implants receiving FMT from E2-treated mice, supplemented with A muciniphila.
FMT from E2-treated lean mice supplemented with A. muciniphila altered gut microbiota in female mice
To examine the effects of FMT during chow or HFD feeding, gut microbiota was compared between treatment groups within each diet. First, the presence of Akkermansia was confirmed in the FMT samples that were supplemented with A. muciniphila before the gavage (Supplemental Figure 2). To determine the effects of FMT during chow, gut microbiota from D17 was analyzed. Gut microbiota was profoundly altered on D17, two days after a single dose of the A. muciniphila -supplemented FMT in the V-EA group. As expected, this change in microbiota at D17 was primarily due to A. muciniphila, with about 30% of the total gut microbiota in V-EA recipients being comprised of A. muciniphila (Figure 6B). While the α-diversity (Faith PD) did not differ across groups, microbial composition clustered separately between V-EA and V-V mice (PERMANOVA, q=0.037; Figure 6A and Table 2). The profound increase in A. muciniphila in V-EA mice on D17 was accompanied with decreases in Clostridium_sensu, Parasutterella, and Bacteroides, suggesting an increase in A. muciniphila in antibiotic-treated mice can negatively impact abundance of other microbes in the gut (Table 2).
Table 2 Taxa that differed as an effect of A. muciniphila-enriched FMT, between V-V and V-EA recipient female mice on different days during and after completion of the FMT.
Once mice were started on HFD, relative abundance data from the FMT on days 23 and 27 were aggregated to represent the effect during FMT. V-EA recipients had an increase in phylogenetic diversity compared to E-E (ANOVA, Tukey posthoc, p=0.009), but were similar to V-V. Additionally, D23 and D27 microbial community of V-EA mice clustered separately from E-E groups (PERMANOVA, q=0.004; Figure 6A). The effect of the FMT was detected on taxa levels as well, such that V-EA mice had higher relative abundances of Anaerotruncus and Erysipelotrichaceae_incertae_sedis compared to V-V controls (Figure 6B; Table 2). Of interest, the Akkermansia levels increased as expected in the D17 sample of the V-EA mice, consistent with our earlier finding in females (7) but different from findings reported in males (46).
Gut microbiota from the two weeks (D32 and D39) immediately after the last FMT treatment were aggregated and analyzed to capture the late-emerging effects of FMT. In the two weeks post-FMT, V-EA mice had increased α-diversity compared to V-V (p=0.019) and E-E (p<0.001) (Figure 5A). Moreover, V-EA microbial community distances differed from both V-V and E-E groups, (PERMANOVA, q=0.003) (Figure 6A), suggesting a long-lasting effect of FMT treatment on gut microbiota. On taxa level, V-EA mice showed increased abundances of Oscillibacter and Desulfovibrio compared to V-V (Table 2 and Figure 6B), suggesting that the effect of FMT continued even after the treatment was ended.
Estradiol altered gut microbiota in antibiotic-treated adult female mice fed a HFD
On D17 (a week after E2 treatment), E-E groups clustered differently from V-V and V-EA (PERMANOVA, q=0.037, Figure 6A). These differences in communities were due to decreases in relative abundances of Turicibacter, Parasutterella, Enterococcus, and Clostridium_sensu_stricto, in E-E mice compared to V-V (Figure 6B and Table 3).
Table 3 Taxa that differed as an effect of estradiol treatment, between E-E and V-V recipient female mice on different days.
The effect of E2 on driving differential clustering continued after switching to HFD, as shown by aggregate data on D23 and D27. E-E groups clustered separately from V-V (PERMANOVA, q=0.003, Figure 6A), although α-diversity was not affected by E2. These changes were mostly due to increases in relative abundances of Escherichia. Shigella and Akkermansia, and decreases in that of Anaerostipes, Turicibacter, Lactococcus, Lactobacillus, Blautia and Clostridium_ IV/XIVa/XIVb (Table 3 and Figure 6B).
Similarly, E2 altered both α-diversity and β-diversity on D32 and D39 (aggregate data) in HFD-fed mice. E-E groups had decreased α-diversity compared to V-V mice (ANOVA, p=0.035, Figure 5A). On the community level, E-E mice clustered differently from V-EA (PERMANOVA, q=0.042), but not V-V (Figure 6A), suggesting that the effect of E2 on gut microbiota started to attenuate around 4th week of E2 implant. During this time, E-E mice had increased relative Escherichia.Shigella and Parasutterella abundances compared to V-V groups. In contrast, E-E mice had lower relative abundances of Acetanaerobacterium, Anaerotruncus, Clostridium_XVIII/XIV, Turicibacter, Enterococcus, Lactobacillus, and Romboutsia, compared to V-V mice, on D32 and D39 (Table 3 and Figure 6B). Interestingly, the E2-induced increase in the relative abundance of Akkermansia observed on the D23 and D27 of E2 treatment did not persist at D32 or D39, suggesting that HFD increased Akkermansia in both groups, eliminating the difference between the E2 and Veh groups.
Discussion
In the present study, we tested the hypothesis that the gut microbiota mediates some of the protective effects of estrogens on energy metabolism in female mice. Using adult female mice, we investigated the metabolic outcome of cohousing and transfer of the gut microbiota from estrogen-treated lean donors to estradiol-deficient HFD-fed mice. The present findings extend previous reports that estradiol treatment protects ovariectomized HFD-fed mice from hyperphagia, obesity, and hyperglycemia and improves active and basal energy expenditure (5–9, 44). Contrary to our hypothesis, we found that FMT from E2-treated lean donors was not sufficient to transfer a lean phenotype and metabolic benefits to ovariectomized recipients fed a HFD, although a tendency towards improved blood glucose levels was present.
In an effort to maximize the potential effects of gut microbiota on metabolism in female mice, we supplemented the FMT from lean E2-treated mice with A. muciniphila, a bacterial species previously reported to alleviate metabolic insults in male rodents, men, and women (17–19, 29, 31–33, 63), but c.f (64). In addition, we have previously identified that the relative abundance of Akkermansia increases in E2-treated female mice compared to ovariectomized controls and is inversely correlated to weight gain and fat mass (44). In the current study, while an FMT supplemented with A. muciniphila altered the relative abundance of many gut microbial species, surprisingly, it did not improve metabolic health but seemed to negatively affect blood glucose in ovariectomized mice fed HFD. These novel findings in female mice suggest that a transplant of fecal microbiota supplemented with A. muciniphila, under the present experimental conditions, is not sufficient to transfer the metabolic phenotype and could aggravate some HFD-induced insults. Although the colonization of many microbes via FMT persisted, introduction of HFD profoundly and acutely increased Akkermansia in all treatment groups. These data suggest that enriching FMT from lean mice with A. muciniphila disrupts glucose homeostasis. Alternatively, while the supplementation with only A. muciniphila could have beneficial effects on metabolic health, addition of A. muciniphila in feces from E2-treated female mice, that already contain this microbe, may exert detrimental effects by disrupting the microbial community homeostasis.
The different effects of Akkermansia between the current study and previous findings may be due to sex differences in the effects of Akkermansia in the mammalian gut. Neither HFD nor a high-fat high-sugar diet induced Akkermansia in male mice (17, 31, 46). In dramatic contrast, a week of HFD in female mice elicited a robust increase in the relative abundance of Akkermansia as reported here and previously (7). Akkermansia uses mucin as its sole nutrient source, which is an integral component of the gastrointestinal mucosa layer (25, 28). Sex differences also exist in intestinal mucin in the manifestation of obesity. In male mucin2 knockout mice, HFD-induced obesity and hyperglycemia from alcohol-induced hepatosteatosis was attenuated (65, 66), while female mucin2-deficient mice had exacerbated glucose tolerance and were not protected from obesity. Thus, a sex difference in the nutrient source for Akkermansia could lead to differences in their abundance and function between males and females (Hartmann, 2016). In addition, but not mutually exclusive of this possible sex difference, the disparate outcomes between the present findings and previous studies could be due to other differences in experimental design, including use of cecal vs. fecal material transplant, use of live vs. killed A. muciniphila cells, the number and frequency of FMT gavages, and the presence or absence of cohousing donors (14, 17, 19). It is important to note that gut microbiota elicits a variety of responses based on the factors contributing to metabolic disorders. For example, a transfer of healthy microbiota attenuated body weight gain and improved insulin response in PCOS models of female mice) (60), whereas did not prevent ovariectomy-dependent obesity (67). Most importantly, the present findings provide a compelling justification for further investigation of sex differences in basic and clinical studies in the function of gut microbiota in metabolic health.
The differences between the present and previous studies could also be due to the use of antibiotics for initial depletion of the native gut microbiota prior to A. muciniphila gavage in the current study unlike in previous studies (17, 19). Antibiotics interact with estrogens (34, 68, 69), primarily by altering the composition of the gut microbiota and E2 metabolism. In support, the mammalian gut is ubiquitously colonized by microbes that produce the steroid-metabolizing enzyme, β-glucuronidase, which is responsible for the deconjugation and reuptake of E2 in enterohepatic circulation (34, 70–72). β-glucuronidase activity has been observed in Bacteroides and Ruminococcus (73), which were decreased by antibiotics in the present study. Antibiotic treatment decreases β-glucuronidase and increases excretion of conjugated estrogens in feces (71, 74). Thus, the reuptake and availability of E2 was likely diminished by antibiotic administration in the first two weeks of the study, possibly via depletion of this E2-metabolizing microbial community. Although the goal of using the lean-FMT background for A. muciniphila in the current study was to replenish the beneficial microbial community depleted by antibiotics, it is possible that the HFD intake after the antibiotic treatment permanently disrupted the healthy microbial ecosystem, potentially resulting in an increased mucus production that may have resulted in an overwhelming increase of Akkermansia. In this context, it is of interest to note that blooms of Akkermansia spp., in human have been described in antibiotic-treated male patients without apparent negative health effects (75).
In the current study, FMT from E2-treated lean mice supplemented with A. muciniphila caused hyperglycemia and an increased trend towards body weight gain, suggesting A. muciniphila supplementation has a detrimental effect on metabolic health in female mice under the used conditions. The increase in Akkermansia following gavage with A. muciniphila-supplemented FMT was accompanied by a parallel decrease in Parasutterella and Bacteroides. Parasutterella is decreased in prediabetic rats and pregnant women with gestational diabetes mellitus and this decrease is associated with a decrease in short chain fatty acid levels (76–78). Similarly, administration of Bacteroides attenuates HFD-induced obesity, hyperglycemia and insulin resistance in rats (79). Taken together with the present study, these findings suggest that a decrease in these microbes contributes to Akkermansia-dependent impairment in metabolism in females.
In summary, FMT from lean E2-treated mice mildly improves blood glucose levels in female mice fed a HFD, but does not protect from obesity. However, enriching FMT from lean mice with A. muciniphila disrupts glucose homeostasis in the present model. Based on the existing evidence of beneficial effects of A. muciniphila on metabolic health, mostly observed in male animal models, clinical trials using an A. muciniphila supplement in humans have been completed (18, 19), where safety and efficacy of A. muciniphila supplementation have been shown in both female and male subjects. It will be important to determine if the present findings in estradiol-deficient HFD female mice extrapolate to humans. Moreover, it is critical that future studies investigate sex differences in host-Akkermansia interactions regarding metabolic health.
Data availability statement
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: <b><br>https://www.ncbi.nlm.nih.gov/, SAMN30108647 C01 C01 mouse metagenome 1441287 SAMN30108648 C12 C12 mouse metagenome 1441287 SAMN30108649 C13 C13 mouse metagenome 1441287 SAMN30108650 C02 C02 mouse metagenome 1441287 SAMN30108651 C03 C03 mouse metagenome 1441287 SAMN30108652 C04 C04 mouse metagenome 1441287 SAMN30108653 C07 C07 mouse metagenome 1441287 SAMN30108654 C08 C08 mouse metagenome 1441287 SAMN30108655 EE19 EE19 mouse metagenome 1441287 SAMN30108656 EE21 EE21 mouse metagenome 1441287 SAMN30108657 EE23 EE23 mouse metagenome 1441287 SAMN30108658 EE25 EE25 mouse metagenome 1441287 SAMN30108659 EE27 EE27 mouse metagenome 1441287 SAMN30108660 D01EEM10 D01EEM10 mouse metagenome 1441287 SAMN30108661 D14EEM10 D14EEM10 mouse metagenome 1441287 SAMN30108662 D17EEM10 D17EEM10 mouse metagenome 1441287 SAMN30108663 D23EEM10 D23EEM10 mouse metagenome 1441287 SAMN30108664 D27EEM10 D27EEM10 mouse 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Ethics statement
All procedures were approved by the Institutional Animal Care and Use Committees of University of Massachusetts Chan School and Wellesley College and performed in accordance with National Institutes of Health Animal Care and Use Guidelines.
Author contributions
Each author has made substantial contributions to the work: Conceptualization; formal analysis; writing—original draft; supervision, review and editing: KA, DW, MG, WV, BM, JK and MT. Methodology, review and editing: KA, RF, DW, MG, LT, DZ, and XH. Formal Analysis: KA, RF, DW, and MG, Project administration and funding acquisition: KA, WV, BM, JK, and MT. All authors have read and agreed to the published version of the manuscript.
Funding
This work was funded in part by NIH 5U24DK076169-13 Subaward # 30835-64 (KDA), SIAM Gravitation Grant 024.002.002 of the Netherlands Organization for Scientific Research (WMdV), NIH DK125407 and DK109677 (BAM), NIH 5U2C-DK093000 (JKK), and NIH DK61935 and Wellesley College Jenkins Distinguished Chair in Neuroscience Funds (MJT). Part of this study was performed at the National Mouse Metabolic Phenotyping Center (MMPC) at University of Massachusetts Chan Medical School.
Conflict of interest
WV is co-founder and has stock in The Akkermansia Company, and BM is a coinventor on a patent application PGT/US 18/42116 emanating, in part, from the findings described herein, and along with her respective academic institution, stands to gain financially through potential commercialization outcomes resulting from activities associated with the licensing of that intellectual property.
The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fendo.2022.1010806/full#supplementary-material
Supplementary Figure 1 | Hourly measures of (A) food intake and (B) physical activity in HFD-fed adult female mice in metabolic cages on days 18–21. E-E, E2-treated mice receiving FMT from E2 mice (n=4); V-V, mice with Veh implants receiving FMT from Veh mice (n=4); V-EA, mice with Veh implants receiving FMT from E2-treated mice supplemented with A. muciniphila (n=4).
Supplementary Figure 2 | Confirmation of Akkermansia in fecal microbiota transplant (FMT) gavage samples. (A) Microbiota taxa relative abundance at genus level in FMT samples, pooled from all donors of the same treatment group (E2 donors n=8; Veh donors n=4). (B) Principal component plot showing weighted Unifrac distance for the FMT samples. E-FMT: FMT from E2-treated donors; V-FMT: FMT from Veh donors.
References
1. Steinbaum SR. The metabolic syndrome: an emerging health epidemic in women. Prog Cardiovasc Dis (2004) 46(4):321–36. doi: 10.1016/j.pcad.2003.08.005
2. Schmiegelow MD, Hedlin H, Mackey RH, Martin LW, Vitolins MZ, Stefanick ML, et al. Race and ethnicity, obesity, metabolic health, and risk of cardiovascular disease in postmenopausal women. J Am Heart Association: Cardiovasc Cerebrovascular Dis (2015) 4(5). doi: 10.1161/JAHA.114.001695
3. Hedlin H, Weitlauf J, Crandall CJ, Nassir R, Cauley JA, Garcia L, et al. Development of a comprehensive health-risk prediction tool for postmenopausal women. Menopause. (2019) 26(12):1385–94. doi: 10.1097/GME.0000000000001411
4. Gurney EP, Nachtigall MJ, Nachtigall LE, Naftolin F. The women's health initiative trial and related studies: 10 years later: a clinician's view. J Steroid Biochem Mol Biol (2014) 142:4–11. doi: 10.1016/j.jsbmb.2013.10.009
5. Carr MC. The emergence of the metabolic syndrome with menopause. J Clin Endocrinol Metab (2003) 88(6):2404–11. doi: 10.1210/jc.2003-030242
6. Bless EP, Reddy T, Acharya KD, Beltz BS, Tetel MJ. Oestradiol and diet modulate energy homeostasis and hypothalamic neurogenesis in the adult female mouse. J neuroendocrinology. (2014) 26(11):805–16. doi: 10.1111/jne.12206
7. Acharya KD, Noh HL, Graham ME, Suk S, Friedline RH, Gomez CC, et al. Distinct changes in gut microbiota are associated with estradiol-mediated protection from diet-induced obesity in female mice. Metabolites. (2021) 11(8):499. doi: 10.3390/metabo11080499
8. Mamounis KJ, Hernandez MR, Margolies N, Yasrebi A, Roepke TA. Interaction of 17beta-estradiol and dietary fatty acids on energy and glucose homeostasis in female mice. Nutr Neurosci (2018) 21(10):715–28. doi: 10.1080/1028415X.2017.1347374
9. Bryzgalova G, Lundholm L, Portwood N, Gustafsson JA, Khan A, Efendic S, et al. Mechanisms of antidiabetogenic and body weight-lowering effects of estrogen in high-fat diet-fed mice. Am J Physiol Endocrinol Metab (2008) 295(4):E904–12. doi: 10.1152/ajpendo.90248.2008
10. Turnbaugh PJ, Ley RE, Mahowald MA, Magrini V, Mardis ER, Gordon JI. An obesity-associated gut microbiome with increased capacity for energy harvest. Nature. (2006) 444(7122):1027–31. doi: 10.1038/nature05414
11. Cani PD, Bibiloni R, Knauf C, Waget A, Neyrinck AM, Delzenne NM, et al. Changes in gut microbiota control metabolic endotoxemia-induced inflammation in high-fat diet-induced obesity and diabetes in mice. Diabetes. (2008) 57(6):1470–81. doi: 10.2337/db07-1403
12. Hassan AM, Mancano G, Kashofer K, Liebisch G, Farzi A, Zenz G, et al. Anhedonia induced by high-fat diet in mice depends on gut microbiota and leptin. Nutr Neurosci (2022) 25(2):299–312. doi: 10.1080/1028415X.2020.1751508
13. Ellekilde M, Selfjord E, Larsen CS, Jakesevic M, Rune I, Tranberg B, et al. Transfer of gut microbiota from lean and obese mice to antibiotic-treated mice. Sci Rep (2014) 4:5922. doi: 10.1038/srep05922
14. Soto M, Herzog C, Pacheco JA, Fujisaka S, Bullock K, Clish CB, et al. Gut microbiota modulate neurobehavior through changes in brain insulin sensitivity and metabolism. Mol Psychiatry (2018) 23(12):2287–301. doi: 10.1038/s41380-018-0086-5
15. Zarrinpar A, Chaix A, Xu ZZ, Chang MW, Marotz CA, Saghatelian A, et al. Antibiotic-induced microbiome depletion alters metabolic homeostasis by affecting gut signaling and colonic metabolism. Nat Commun (2018) 9(1):2872. doi: 10.1038/s41467-018-05336-9
16. Rodrigues RR, Greer RL, Dong X, KN DS, Gurung M, Wu JY, et al. Antibiotic-induced alterations in gut microbiota are associated with changes in glucose metabolism in healthy mice. Front Microbiol (2017) 8:2306. doi: 10.3389/fmicb.2017.02306
17. Everard A, Belzer C, Geurts L, Ouwerkerk JP, Druart C, Bindels LB, et al. Cross-talk between akkermansia muciniphila and intestinal epithelium controls diet-induced obesity. Proc Natl Acad Sci U S A. (2013) 110(22):9066–71. doi: 10.1073/pnas.1219451110
18. Depommier C, Everard A, Druart C, Plovier H, Van Hul M, Vieira-Silva S, et al. Supplementation with akkermansia muciniphila in overweight and obese human volunteers: a proof-of-concept exploratory study. Nat Med (2019) 25(7):1096–103. doi: 10.1038/s41591-019-0495-2
19. Plovier H, Everard A, Druart C, Depommier C, Van Hul M, Geurts L, et al. A purified membrane protein from akkermansia muciniphila or the pasteurized bacterium improves metabolism in obese and diabetic mice. Nat Med (2017) 23(1):107–13. doi: 10.1038/nm.4236
20. Heo J, Seo M, Park H, Lee WK, Guan LL, Yoon J, et al. Gut microbiota modulated by probiotics and garcinia cambogia extract correlate with weight gain and adipocyte sizes in high fat-fed mice. Sci Rep (2016) 6:33566. doi: 10.1038/srep33566
21. Kootte RS, Levin E, Salojarvi J, Smits LP, Hartstra AV, Udayappan SD, et al. Improvement of insulin sensitivity after lean donor feces in metabolic syndrome is driven by baseline intestinal microbiota composition. Cell Metab (2017) 26(4):611–9.e6. doi: 10.1016/j.cmet.2017.09.008
22. Vrieze A, Van Nood E, Holleman F, Salojarvi J, Kootte RS, Bartelsman JF, et al. Transfer of intestinal microbiota from lean donors increases insulin sensitivity in individuals with metabolic syndrome. Gastroenterology. (2012) 143(4):913–6.e7. doi: 10.1053/j.gastro.2012.06.031
23. de Vos WM. Microbe profile: Akkermansia muciniphila: a conserved intestinal symbiont that acts as the gatekeeper of our mucosa. Microbiol (Reading). (2017) 163(5):646–8. doi: 10.1099/mic.0.000444
24. Yassour M, Lim MY, Yun HS, Tickle TL, Sung J, Song YM, et al. Sub-Clinical detection of gut microbial biomarkers of obesity and type 2 diabetes. Genome Med (2016) 8(1):17. doi: 10.1186/s13073-016-0271-6
25. Derrien M, Vaughan EE, Plugge CM, de Vos WM. Akkermansia muciniphila gen. nov., sp. nov., a human intestinal mucin-degrading bacterium. Int J Syst Evol Microbiol (2004) 54(Pt 5):1469–76. doi: 10.1099/ijs.0.02873-0
26. Santacruz A, Collado MC, Garcia-Valdes L, Segura MT, Martin-Lagos JA, Anjos T, et al. Gut microbiota composition is associated with body weight, weight gain and biochemical parameters in pregnant women. Br J Nutr (2010) 104(1):83–92. doi: 10.1017/S0007114510000176
27. Derrien M, Belzer C, de Vos WM. Akkermansia muciniphila and its role in regulating host functions. Microb Pathog (2017) 106:171–81. doi: 10.1016/j.micpath.2016.02.005
28. van Passel MW, Kant R, Zoetendal EG, Plugge CM, Derrien M, Malfatti SA, et al. The genome of akkermansia muciniphila, a dedicated intestinal mucin degrader, and its use in exploring intestinal metagenomes. PloS One (2011) 6(3):e16876. doi: 10.1371/journal.pone.0016876
29. Dao MC, Everard A, Aron -Wisnewsky J, Sokolovska N, Prifti E, Verger EO, et al. Akkermansia muciniphila and improved metabolic health during a dietary intervention in obesity: relationship with gut microbiome richness and ecology. Gut (2015) 65:426–36. doi: 10.1136/gutjnl-2014-308778
30. Cani PD, Depommier C, Derrien M, Everard A, de Vos WM. Akkermansia muciniphila: paradigm for next-generation beneficial microorganisms. Nat Rev Gastroenterol Hepatol (2022) 19: 625–37. doi: 10.1038/s41575-022-00631-9
31. Li J, Lin S, Vanhoutte PM, Woo CW, Xu A. Akkermansia muciniphila protects against atherosclerosis by preventing metabolic endotoxemia-induced inflammation in apoe-/- mice. Circulation. (2016) 133(24):2434–46. doi: 10.1161/CIRCULATIONAHA.115.019645
32. Zhao S, Liu W, Wang J, Shi J, Sun Y, Wang W, et al. Akkermansia muciniphila improves metabolic profiles by reducing inflammation in chow diet-fed mice. J Mol Endocrinol (2017) 58(1):1–14. doi: 10.1530/JME-16-0054
33. Brahe LK, Le Chatelier E, Prifti E, Pons N, Kennedy S, Hansen T, et al. Specific gut microbiota features and metabolic markers in postmenopausal women with obesity. Nutr Diabetes. (2015) 5:e159. doi: 10.1038/nutd.2015.9
34. Acharya KD, Parakoyi AER, Tetel MJ. Disruption and the gut microbiome. In: Darbre PD, editor. Endocrine disruption and human health. Academic Press (2022). p. 355–76.
35. Chen KL, Madak-Erdogan Z. Estrogen and microbiota crosstalk: Should we pay attention? Trends Endocrinol metabolism: TEM (2016) 27(11):752–5. doi: 10.1016/j.tem.2016.08.001
36. Graham ME, Herbert WG, Song SD, Raman HN, Zhu JE, Gonzalez PE, et al. Gut and vaginal microbiomes on steroids: implications for women's health. Trends Endocrinol metabolism: TEM. (2021) 32(8):554–65. doi: 10.1016/j.tem.2021.04.014
37. Santos-Marcos JA, Rangel-Zuñiga OA, Jimenez-Lucena R, Quintana-Navarro GM, Garcia-Carpintero S, Malagon MM, et al. Influence of gender and menopausal status on gut microbiota. Maturitas. (2018) 116:43–53. doi: 10.1016/j.maturitas.2018.07.008
38. Santos-Marcos JA, Barroso A, Rangel-Zuniga OA, Perdices-Lopez C, Haro C, Sanchez-Garrido MA, et al. Interplay between gonadal hormones and postnatal overfeeding in defining sex-dependent differences in gut microbiota architecture. Aging (Albany NY). (2020) 12(20):19979–20000. doi: 10.18632/aging.104140
39. Korpela K, Kallio S, Salonen A, Hero M, Kukkonen AK, Miettinen PJ, et al. Gut microbiota develop towards an adult profile in a sex-specific manner during puberty. Sci Rep (2021) 11(1):23297. doi: 10.1038/s41598-021-02375-z
40. Guadamuro L, Delgado S, Redruello B, Florez AB, Suarez A, Martinez-Camblor P, et al. Equol status and changes in fecal microbiota in menopausal women receiving long-term treatment for menopause symptoms with a soy-isoflavone concentrate. Front Microbiol (2015) 6:777. doi: 10.3389/fmicb.2015.00777
41. Clavel T, Fallani M, Lepage P, Levenez F, Mathey J, Rochet V, et al. Isoflavones and functional foods alter the dominant intestinal microbiota in postmenopausal women. J Nutr (2005) 135(12):2786–92. doi: 10.1093/jn/135.12.2786
42. Moreno-Indias I, Sanchez-Alcoholado L, Sanchez-Garrido MA, Martin-Nunez GM, Perez-Jimenez F, Tena-Sempere M, et al. Neonatal androgen exposure causes persistent gut microbiota dysbiosis related to metabolic disease in adult female rats. Endocrinology. (2016) 157(12):4888–98. doi: 10.1210/en.2016-1317
43. Kaliannan K, Robertson RC, Murphy K, Stanton C, Kang C, Wang B, et al. Estrogen-mediated gut microbiome alterations influence sexual dimorphism in metabolic syndrome in mice. Microbiome. (2018) 6(1):205. doi: 10.1186/s40168-018-0587-0
44. Acharya KD, Gao X, Bless EP, Chen J, Tetel MJ. Estradiol and high fat diet associate with changes in gut microbiota in female ob/ob mice. Sci Rep (2019) 9(1):20192. doi: 10.1038/s41598-019-56723-1
45. Cox-York KA, Sheflin AM, Foster MT, Gentile CL, Kahl A, Koch LG, et al. Ovariectomy results in differential shifts in gut microbiota in low versus high aerobic capacity rats. Physiol Rep (2015) 3(8). doi: 10.14814/phy2.12488
46. Schneeberger M, Everard A, Gomez-Valades AG, Matamoros S, Ramirez S, Delzenne NM, et al. Akkermansia muciniphila inversely correlates with the onset of inflammation, altered adipose tissue metabolism and metabolic disorders during obesity in mice. Sci Rep (2015) 5:16643. doi: 10.1038/srep16643
47. Ingberg E, Theodorsson A, Theodorsson E, Strom JO. Methods for long-term 17beta-estradiol administration to mice. Gen Comp endocrinology. (2012) 175(1):188–93. doi: 10.1016/j.ygcen.2011.11.014
48. Shmuel-Galia L, Humphries F, Lei X, Ceglia S, Wilson R, Jiang Z, et al. Dysbiosis exacerbates colitis by promoting ubiquitination and accumulation of the innate immune adaptor STING in myeloid cells. Immunity. (2021) 54(6):1137–53.e8. doi: 10.1016/j.immuni.2021.05.008
49. Ericsson AC, Personett AR, Turner G, Dorfmeyer RA, Franklin CL. Variable colonization after reciprocal fecal microbiota transfer between mice with low and high richness microbiota. Front Microbiol (2017) 8:196. doi: 10.3389/fmicb.2017.00196
50. Hill DA, Hoffmann C, Abt MC, Du Y, Kobuley D, Kirn TJ, et al. Metagenomic analyses reveal antibiotic-induced temporal and spatial changes in intestinal microbiota with associated alterations in immune cell homeostasis. Mucosal Immunol (2010) 3(2):148–58. doi: 10.1038/mi.2009.132
51. Reikvam DH, Erofeev A, Sandvik A, Grcic V, Jahnsen FL, Gaustad P, et al. Depletion of murine intestinal microbiota: Effects on gut mucosa and epithelial gene expression. PLos One (2011) 6(3):e17996. doi: 10.1371/journal.pone.0017996
52. D'Amato A, Di Cesare Mannelli L, Lucarini E, Man AL, Le Gall G, Branca JJV, et al. Faecal microbiota transplant from aged donor mice affects spatial learning and memory via modulating hippocampal synaptic plasticity- and neurotransmission-related proteins in young recipients. Microbiome. (2020) 8(1):140. doi: 10.1186/s40168-020-00914-w
53. Miyoshi J, Bobe AM, Miyoshi S, Huang Y, Hubert N, Delmont TO, et al. Peripartum antibiotics promote gut dysbiosis, loss of immune tolerance, and inflammatory bowel disease in genetically prone offspring. Cell Rep (2017) 20(2):491–504. doi: 10.1016/j.celrep.2017.06.060
54. Ward NL, Phillips CD, Nguyen DD, Shanmugam NK, Song Y, Hodin R, et al. Antibiotic treatment induces long-lasting changes in the fecal microbiota that protect against colitis. Inflammation Bowel Dis (2016) 22(10):2328–40. doi: 10.1097/MIB.0000000000000914
55. Kim JH, Lee E, Friedline RH, Suk S, Jung DY, Dagdeviren S, et al. Endoplasmic reticulum chaperone GRP78 regulates macrophage function and insulin resistance in diet-induced obesity. FASEB J (2018) 32(4):2292–304. doi: 10.1096/fj.201701017R
56. Kozich JJ, Westcott SL, Baxter NT, Highlander SK, Schloss PD. Development of a dual-index sequencing strategy and curation pipeline for analyzing amplicon sequence data on the MiSeq illumina sequencing platform. Appl Environ Microbiol (2013) 79(17):5112–20. doi: 10.1128/AEM.01043-13
57. Edgar RC. UPARSE: highly accurate OTU sequences from microbial amplicon reads. Nat Methods (2013) 10(10):996–8. doi: 10.1038/nmeth.2604
58. Bolyen E, Rideout JR, Dillon MR, Bokulich NA, Abnet CC, Al-Ghalith GA, et al. Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. Nat Biotechnol (2019) 37(8):852–7. doi: 10.1038/s41587-019-0209-9
59. Mallick H, Rahnavard A, McIver LJ, Ma S, Zhang Y, Nguyen LH, et al. Multivariable association discovery in population-scale meta-omics studies. PLos Comput Biol (2021) 17(11):e1009442. doi: 10.1371/journal.pcbi.1009442
60. Torres PJ, Ho BS, Arroyo P, Sau L, Chen A, Kelley ST, et al. Exposure to a healthy gut microbiome protects against reproductive and metabolic dysregulation in a PCOS mouse model. Endocrinology. (2019) 160(5):1193–204. doi: 10.1210/en.2019-00050
61. Kim JK. Hyperinsulinemic-euglycemic clamp to assess insulin sensitivity in vivo. Methods Mol Biol (2009) 560:221–38. doi: 10.1007/978-1-59745-448-3_15
62. Faith DP. The role of the phylogenetic diversity measure, PD, in bio-informatics: getting the definition right. Evol Bioinform Online. (2007) 2:277–83.
63. Hanninen A, Toivonen R, Poysti S, Belzer C, Plovier H, Ouwerkerk JP, et al. Akkermansia muciniphila induces gut microbiota remodelling and controls islet autoimmunity in NOD mice. Gut. (2018) 67(8):1445–53. doi: 10.1136/gutjnl-2017-314508
64. Desai MS, Seekatz AM, Koropatkin NM, Kamada N, Hickey CA, Wolter M, et al. A dietary fiber-deprived gut microbiota degrades the colonic mucus barrier and enhances pathogen susceptibility. Cell. (2016) 167(5):1339–53.e21. doi: 10.1016/j.cell.2016.10.043
65. Hartmann P, Chen P, Wang HJ, Wang L, McCole DF, Brandl K, et al. Deficiency of intestinal mucin-2 ameliorates experimental alcoholic liver disease in mice. Hepatology. (2013) 58(1):108–19. doi: 10.1002/hep.26321
66. Hartmann P, Seebauer CT, Mazagova M, Horvath A, Wang L, Llorente C, et al. Deficiency of intestinal mucin-2 protects mice from diet-induced fatty liver disease and obesity. Am J Physiol Gastrointest Liver Physiol (2016) 310(5):G310–22. doi: 10.1152/ajpgi.00094.2015
67. Sau L, Olmstead CM, Cui LJ, Chen A, Shah RS, Kelley ST, et al. Alterations in gut microbiota do not play a causal role in diet-independent weight gain caused by ovariectomy. J Endocr Soc (2021) 5(1):bvaa173. doi: 10.1210/jendso/bvaa173
68. Plottel CS, Blaser MJ. Microbiome and malignancy. Cell Host Microbe (2011) 10(4):324–35. doi: 10.1016/j.chom.2011.10.003
69. Chen KLA, Liu X, Zhao YC, Hieronymi K, Rossi G, Auvil LS, et al. Long-term administration of conjugated estrogen and bazedoxifene decreased murine fecal beta-glucuronidase activity without impacting overall microbiome community. Sci Rep (2018) 8(1):8166. doi: 10.1038/s41598-018-26506-1
70. van Herwaarden AE, Wagenaar E, van der Kruijssen CM, van Waterschoot RA, Smit JW, Song JY, et al. Knockout of cytochrome P450 3A yields new mouse models for understanding xenobiotic metabolism. J Clin Invest (2007) 117(11):3583–92. doi: 10.1172/JCI33435
71. Chen M, Cheng KW, Chen YJ, Wang CH, Cheng TC, Chang KC, et al. Real-time imaging of intestinal bacterial beta-glucuronidase activity by hydrolysis of a fluorescent probe. Sci Rep (2017) 7(1):3142. doi: 10.1038/s41598-017-03252-4
72. Parida S, Sharma D. The microbiome-estrogen connection and breast cancer risk. Cells. (2019) 8(12). doi: 10.3390/cells8121642
73. Dashnyam P, Mudududdla R, Hsieh TJ, Lin TC, Lin HY, Chen PY, et al. Beta-glucuronidases of opportunistic bacteria are the major contributors to xenobiotic-induced toxicity in the gut. Sci Rep (2018) 8(1):16372. doi: 10.1038/s41598-018-34678-z
74. Hamalainen E, Korpela JT, Adlercreutz H. Effect of oxytetracycline administration on intestinal metabolism of oestrogens and on plasma sex hormones in healthy men. Gut. (1987) 28(4):439–45. doi: 10.1136/gut.28.4.439
75. Dubourg G, Lagier JC, Armougom F, Robert C, Audoly G, Papazian L, et al. High-level colonisation of the human gut by verrucomicrobia following broad-spectrum antibiotic treatment. Int J Antimicrob Agents. (2013) 41(2):149–55. doi: 10.1016/j.ijantimicag.2012.10.012
76. Ma S, You Y, Huang L, Long S, Zhang J, Guo C, et al. Alterations in gut microbiota of gestational diabetes patients during the first trimester of pregnancy. Front Cell Infect Microbiol (2020) 10:58. doi: 10.3389/fcimb.2020.00058
77. Cai J, Zhou L, Song X, Yin M, Liang G, Xu H, et al. Alteration of intestinal microbiota in 3-Deoxyglucosone-Induced prediabetic rats. BioMed Res Int (2020) 2020:8406846. doi: 10.1155/2020/8406846
78. Li LL, Wang YT, Zhu LM, Liu ZY, Ye CQ, Qin S. Inulin with different degrees of polymerization protects against diet-induced endotoxemia and inflammation in association with gut microbiota regulation in mice. Sci Rep (2020) 10(1):978. doi: 10.1038/s41598-020-58048-w
Keywords: gut microbiome, metabolism, estrogens, obesity, estradiol, diabetes
Citation: Acharya KD, Friedline RH, Ward DV, Graham ME, Tauer L, Zheng D, Hu X, de Vos WM, McCormick BA, Kim JK and Tetel MJ (2022) Differential effects of Akkermansia-enriched fecal microbiota transplant on energy balance in female mice on high-fat diet. Front. Endocrinol. 13:1010806. doi: 10.3389/fendo.2022.1010806
Received: 03 August 2022; Accepted: 12 October 2022;
Published: 27 October 2022.
Edited by:
Prasanth K Chelikani, Texas Tech University, United StatesReviewed by:
Kanishka Nilaweera, Teagasc, IrelandFarzam Vaziri, University of California, Davis, United States
Copyright © 2022 Acharya, Friedline, Ward, Graham, Tauer, Zheng, Hu, de Vos, McCormick, Kim and Tetel. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Marc J. Tetel, mtetel@wellesley.edu
†Present address: Kalpana D. Acharya, Vincent Center for Reproductive Biology, Massachusetts General Hospital, Boston, MA, United States
‡ORCID: Marc J. Tetel, orcid.org/0000-0002-9843-4071