PreprintCited by 252Gut microbiota and healthDrug Transport and Resistance MechanismsSteroid Chemistry and Biochemistry

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Bile Acids Are Substrates for Amine N-Acyl Transferase Activity by Bile Salt Hydrolase

Open access

Preprint — published as 10.1038/s41586-023-06990-w · Paper page

Abstract

Bacteria in the gastrointestinal tract (GI) produce a variety of amino acid bile acid amidates that impact host-mediated metabolic processes; however, the bacterial gene(s) responsible for their production remain unknown. Herein, we report that bile salt hydrolase (BSH) possesses dual functions, including a new role in bile acid metabolism by functioning as an amine N-acyl transferase that conjugates amines to form bacterial bile acid amidates (BBAAs). To characterize this new amine N-acyl transferase role for BSH, we used pharmacological inhibition of BSH, heterologous expression of bsh in Escherichia coli, and generated a bsh knockout and knockin in Bacteroides fragilis to demonstrate that BSH is necessary and sufficient for BBAA production. Lastly, we report that BBAAs activate host ligand-activated transcription factors including the farnesoid X receptor, pregnane X receptor, constitutive androstane receptor, and the aryl hydrocarbon receptor. These new findings expand our understanding and appreciation for the important roles that bacteria play in shaping the bile acid metabolic network.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

The paper reports that bacterial bile salt hydrolase (BSH) has a previously unknown amine N-acyltransferase activity that conjugates amines to bile acids, forming bacterial bile acid amidates (BBAAs), in addition to its canonical deconjugation role. It links BSH/bsh to BBAA production in bacterial isolates, gnotobiotic mice, and human infants, and shows BBAAs can activate host nuclear receptors in cell and organoid models.

Key findings

  • BSH is necessary and sufficient for BBAA formation: the pan-BSH inhibitor GR-7 reduced BBAA production; purified BlBSH synthesized BBAAs from CA or TCA; E. coli expressing BlBSH produced BBAAs; B. fragilis Δbsh eliminated BBAA production from CA/TCA and complementation rescued it.
  • bsh presence was significantly associated with BBAA production across combined isolate datasets (P = 9.4 × 10−6, phylogenetic linear regression); in B. longum, bsh was upregulated by CA/DCA (RNA-seq log2FC = 2.14, adjusted P = 6.52 × 10−85; RT-qPCR 2.7-fold, P = 0.0026).
  • In germ-free mice monocolonized with B. fragilis WT vs Δbsh, Δbsh-colonized mice had depleted BBAA levels (P = 3.1 × 10−4) and altered primary bile acids; free caecal taurine was higher in WT-colonized mice (P = 4.27 × 10−4).
  • In a human infant cohort (n = 108), BBAA levels increased from 0–4 days to 12 months; Enterococcus abundance positively correlated with BBAAs, and Bifidobacterium with His/Thr conjugates. BBAAs activated host receptors: Glu-conjugated bile acids activated FXR, CAR3, PXR, AHR and PPARα (P < 0.0001); mouse organoids upregulated Cyp3a11, Cyp1a1 and Bsep, and human organoids upregulated CYP1A1 with 100 µM Glu-CDCA (P < 0.01).

Methods

  • Combined LC–MS/MS BBAA data from two published bacterial isolate datasets (202 HMP isolates and 69 representative gut bacteria) with genomes; used phylogenetic linear regression to test bsh–BBAA association; performed RNA-seq and RT-qPCR in B. longum NCTC 11818.
  • Used purified BlBSH enzyme assays, heterologous expression and site-directed mutagenesis in E. coli, B. fragilis NCTC 9343 Δbsh and complementation, and germ-free C57BL/6J mice monocolonized with WT or Δbsh B. fragilis (n = 7 WT, n = 8 Δbsh) with LC–MS/MS and 1H NMR.
  • Human infant IGRAM cohort stool samples (56 male, 52 female) at birth, 1 month, and 12 months; shotgun metagenomics and LC–MS/MS; cell-based reporter assays for FXR, VDR, CAR3, PXR, AHR, PPARα/β/δ/γ and mouse/human enteroid qPCR.

Limitations

  • Stated: the conjugation mechanism is unclear; human organoid responses were less pronounced than mouse; further in vitro and in vivo studies are required to show whether BBAAs affect metabolism of substrates, drugs and carcinogens regulated by PXR and AHR; future studies must re-evaluate BBAA contribution to disease outcomes related to BSH activity.
  • Evident from the text: receptor activation evidence is largely cell culture/organoid, not in vivo; human infant findings are observational correlations; mouse work uses monocolonization with one B. fragilis strain, so generalizability to complex microbiota is not established.

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Integrity signals

Registry

Crossref · 10.21203/rs.3.rs-2050120/v1

Cites

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Figures

Fig. 1 Amidation and de-amidation reactions of bile acids are associated with bacterial bsh. a, Bile acid–CoA:amino acid N-acyltransferase activity with the substrate depicted as a general bile acid structure modified with CoA. b, Deconjugation reaction by bacterial BSH of host-derived GCA or TCA. c, The BSH amino acid N-acyltransferase activity characterized in this study, with the conjugated bile acids GCA and TCA as examples. This activity leads to the biosynthesis of BBAAs. a–c, R1–R3 represent potential sites of backbone hydroxylation; RG/T represents glycine and taurine. d, Correlation between presence or absence of the bsh gene with the ability of various bacterial taxa to produce BBAAs. e, RT-qPCR of B. longum NCTC 11818 supplemented with 200 μM each of CA and DCA. Expression of bsh was compared to vehicle using the 2−∆∆Ct method normalized to the reference gene ldhl, and significance was determined using a two-tailed t-test (P = 0.0026**). Bar plots designate the mean ± s.d., n = 5. Source Data
Fig. 1 Amidation and de-amidation reactions of bile acids are associated with bacterial bsh. a, Bile acid–CoA:amino acid N-acyltransferase activity with the substrate depicted as a general bile acid structure modified with CoA. b, Deconjugation reaction by bacterial BSH of host-derived GCA or TCA. c, The BSH amino acid N-acyltransferase activity characterized in this study, with the conjugated bile acids GCA and TCA as examples. This activity leads to the biosynthesis of BBAAs. a–c, R1–R3 represent potential sites of backbone hydroxylation; RG/T represents glycine and taurine. d, Correlation between presence or absence of the bsh gene with the ability of various bacterial taxa to produce BBAAs. e, RT-qPCR of B. longum NCTC 11818 supplemented with 200 μM each of CA and DCA. Expression of bsh was compared to vehicle using the 2−∆∆Ct method normalized to the reference gene ldhl, and significance was determined using a two-tailed t-test (P = 0.0026**). Bar plots designate the mean ± s.d., n = 5. Source DataCC BY · PubMed Central
Fig. 2 Bacterial BSH has bile acid amine N-acyltransferase activity. a, The pan-BSH inhibitor GR-7 attenuates conjugated bile acid production in B. longum NCTC 11818 cultures. Mean BBAA concentrations, quantified by targeted liquid chromatography with tandem mass spectrometry (LC–MS/MS), are shown with vertical lines indicating s.d. (n = 3 biologically independent bacterial cultures per treatment group). b, Purified BlBSH enzyme synthesizes BBAAs from 100 µM CA or TCA in vitro. c, E. coli transformed with a BlBSH expression vector produces BBAAs from 1 mM CA or TCA. d, BSH knockout in B. fragilis ablates the aminotransferase activity observed in wild-type (WT) B. fragilis NCTC 9343 with 1 mM CA or 1 mM TCA supplementation. Bars in b–d represent individual biological replicates (n = 4), with heights indicating BBAA concentrations. e, E. coli BL21(DE3) expressing mutated BlBSH at key active site residues exhibited altered deconjugation and conjugation activities. Deconjugation, indicated by the CA:TCA ratio, was assessed in M9 media with 1 mM TCA. Conjugation, measured through Ala-CA production, was evaluated in Luria–Bertani media with 1 mM TCA using LC–MS/MS. Controls included untransformed E. coli (Unt) and E. coli expressing unmutated BlBSH (WT). Bars represent mean values ± s.d. (n = 3 biologically independent bacterial cultures). f–i, Bile acid profile of germ-free C57BL/6 J mice monocolonized with B. fragilis WT or Δbsh strains (n = 7 for WT, n = 8 for Δbsh groups). CFUs per gram of B. fragilis in faeces after 7 days (f). Ileal contents primary bile acids quantified by LC–MS/MS (CA P = 2.3 × 10−4***, βMCA P = 1.3 × 10−4***, αMCA P = 3.7 × 10−4***, CDCA P = 1.1 × 10−4, UDCA P = 2.7 × 10−5****) (g). Free taurine levels in caecal contents quantified using 1H nuclear magnetic resonance (NMR) (P = 4.27 × 10−4***) (h). Sum of peak areas for all BBAAs in ileal contents measured by LC–MS/MS (P = 3.1 × 10−4***) (i). f–i, box plots depict first quartile and third quartile with median as centre and min–max values for whiskers, except for outliers calculated as data points ±1.5× interquartile range. Significant differences (P < 0.001***, P < 0.0001****) were determined by two-tailed t-tests. MCA, muricholic acid; UDCA, ursodeoxycholic acid. Source Data
Fig. 2 Bacterial BSH has bile acid amine N-acyltransferase activity. a, The pan-BSH inhibitor GR-7 attenuates conjugated bile acid production in B. longum NCTC 11818 cultures. Mean BBAA concentrations, quantified by targeted liquid chromatography with tandem mass spectrometry (LC–MS/MS), are shown with vertical lines indicating s.d. (n = 3 biologically independent bacterial cultures per treatment group). b, Purified BlBSH enzyme synthesizes BBAAs from 100 µM CA or TCA in vitro. c, E. coli transformed with a BlBSH expression vector produces BBAAs from 1 mM CA or TCA. d, BSH knockout in B. fragilis ablates the aminotransferase activity observed in wild-type (WT) B. fragilis NCTC 9343 with 1 mM CA or 1 mM TCA supplementation. Bars in b–d represent individual biological replicates (n = 4), with heights indicating BBAA concentrations. e, E. coli BL21(DE3) expressing mutated BlBSH at key active site residues exhibited altered deconjugation and conjugation activities. Deconjugation, indicated by the CA:TCA ratio, was assessed in M9 media with 1 mM TCA. Conjugation, measured through Ala-CA production, was evaluated in Luria–Bertani media with 1 mM TCA using LC–MS/MS. Controls included untransformed E. coli (Unt) and E. coli expressing unmutated BlBSH (WT). Bars represent mean values ± s.d. (n = 3 biologically independent bacterial cultures). f–i, Bile acid profile of germ-free C57BL/6 J mice monocolonized with B. fragilis WT or Δbsh strains (n = 7 for WT, n = 8 for Δbsh groups). CFUs per gram of B. fragilis in faeces after 7 days (f). Ileal contents primary bile acids quantified by LC–MS/MS (CA P = 2.3 × 10−4***, βMCA P = 1.3 × 10−4***, αMCA P = 3.7 × 10−4***, CDCA P = 1.1 × 10−4, UDCA P = 2.7 × 10−5****) (g). Free taurine levels in caecal contents quantified using 1H nuclear magnetic resonance (NMR) (P = 4.27 × 10−4***) (h). Sum of peak areas for all BBAAs in ileal contents measured by LC–MS/MS (P = 3.1 × 10−4***) (i). f–i, box plots depict first quartile and third quartile with median as centre and min–max values for whiskers, except for outliers calculated as data points ±1.5× interquartile range. Significant differences (P < 0.001***, P < 0.0001****) were determined by two-tailed t-tests. MCA, muricholic acid; UDCA, ursodeoxycholic acid. Source DataCC BY · PubMed Central
Fig. 3 BBAA production increases with infant microbiota development. a, Microbiota diversity measured by Shannon diversity index of infant faecal samples acquired at 0–4 days (0–4D), one month (1M) and 12 months (12M) after birth, n = 108. Significant differences between time points were determined by linear mixed effects model (0–4D versus 12M P = 4.4 × 10−7***, 1M versus 12M P = 2 × 10−5***). b, Principal coordinate analysis plot of the Bray–Curtis dissimilarity of infants 1M and 12M old. Significant differences were determined by permutational multivariate analysis of variance (PERMANOVA) test on Bray–Curtis distances (P = 0.001***). c, Barplot depicting faecal microbiota composition of 1M and 12M infants, including all genera greater than 5% mean relative abundance in either time point. d, Faecal concentrations of total unconjugated, host glycine and taurine-conjugated and BBAAs from 0–4D to 12M, quantified using LC–MS/MS. Significant differences between time points were determined by linear mixed effects models, with log(bile acids) as outcomes, time as predictor and subject information as random effect (P < 0.001***). Several comparisons were adjusted using the Benjamini–Hochberg method. e, Associations of BBAAs and glycine-/taurine-conjugated BAs with relative Enterococcus, Bifidobacterium and Bacteroides abundances using Spearman correlation (P < 0.05*, P < 0.01**, P < 0.001***). NS, not significant. Source Data
Fig. 3 BBAA production increases with infant microbiota development. a, Microbiota diversity measured by Shannon diversity index of infant faecal samples acquired at 0–4 days (0–4D), one month (1M) and 12 months (12M) after birth, n = 108. Significant differences between time points were determined by linear mixed effects model (0–4D versus 12M P = 4.4 × 10−7***, 1M versus 12M P = 2 × 10−5***). b, Principal coordinate analysis plot of the Bray–Curtis dissimilarity of infants 1M and 12M old. Significant differences were determined by permutational multivariate analysis of variance (PERMANOVA) test on Bray–Curtis distances (P = 0.001***). c, Barplot depicting faecal microbiota composition of 1M and 12M infants, including all genera greater than 5% mean relative abundance in either time point. d, Faecal concentrations of total unconjugated, host glycine and taurine-conjugated and BBAAs from 0–4D to 12M, quantified using LC–MS/MS. Significant differences between time points were determined by linear mixed effects models, with log(bile acids) as outcomes, time as predictor and subject information as random effect (P < 0.001***). Several comparisons were adjusted using the Benjamini–Hochberg method. e, Associations of BBAAs and glycine-/taurine-conjugated BAs with relative Enterococcus, Bifidobacterium and Bacteroides abundances using Spearman correlation (P < 0.05*, P < 0.01**, P < 0.001***). NS, not significant. Source DataCC BY · PubMed Central
Extended Data Fig. 1 An extended version of correlation plot. Plot of bsh presence in human-associated bacteria and BBAA production showing all the taxa names. Taxa-names are trimmed for readability. Two species of genera, Cutibacterium and Gardnerella, are condensed to their parent genus group.
Extended Data Fig. 1 An extended version of correlation plot. Plot of bsh presence in human-associated bacteria and BBAA production showing all the taxa names. Taxa-names are trimmed for readability. Two species of genera, Cutibacterium and Gardnerella, are condensed to their parent genus group.CC BY · PubMed Central
Extended Data Fig. 2 Differential gene expression analysis of Bifidobacterium longum NCTC 11818 supplemented with 200 μM each of CA and DCA. Genes with absolute log2 fold-change of 1 and FDR-adjusted p ≤ 0.05 are represented in red (based on two-sided Wald tests as implemented in DESeq2); n = 5. Source Data
Extended Data Fig. 2 Differential gene expression analysis of Bifidobacterium longum NCTC 11818 supplemented with 200 μM each of CA and DCA. Genes with absolute log2 fold-change of 1 and FDR-adjusted p ≤ 0.05 are represented in red (based on two-sided Wald tests as implemented in DESeq2); n = 5. Source DataCC BY · PubMed Central
Extended Data Fig. 3 Colony-forming units of Bifidobacterium longum NCTC 11818 with or without GR-7. The bounds of the box plot represent Q1–Q3 with median as center and min-max values for whiskers. n = 4 biologically independent bacterial cultures per group. Source Data
Extended Data Fig. 3 Colony-forming units of Bifidobacterium longum NCTC 11818 with or without GR-7. The bounds of the box plot represent Q1–Q3 with median as center and min-max values for whiskers. n = 4 biologically independent bacterial cultures per group. Source DataCC BY · PubMed Central
Extended Data Fig. 4 Heterologous protein expression of BlBSH with active site residue substitutions. SDS-PAGE from single experimental replicates showing BlBSH expression at ~35 kDa, 4 h post-induction, in (a) LB media or (b) M9 minimal media. (c) Structure of B. longum BSH (PDB: 2HF0) highlighting active site residues mutated in this study in grey. Cholate and taurine (green) were fit using Discovery Studio software from the structure of Clostridium perfringens BSH (PDB: 2BJF) to demonstrate ligand binding location.
Extended Data Fig. 4 Heterologous protein expression of BlBSH with active site residue substitutions. SDS-PAGE from single experimental replicates showing BlBSH expression at ~35 kDa, 4 h post-induction, in (a) LB media or (b) M9 minimal media. (c) Structure of B. longum BSH (PDB: 2HF0) highlighting active site residues mutated in this study in grey. Cholate and taurine (green) were fit using Discovery Studio software from the structure of Clostridium perfringens BSH (PDB: 2BJF) to demonstrate ligand binding location.CC BY · PubMed Central
Extended Data Fig. 5 Body weights and ileal bile acid concentrations in B. fragilis monocolonized mice. (a) Body weights relative to weight at inoculation on day 0. Data are presented as mean values ± SD. Ileal concentrations of (b) secondary, (c) glycine-conjugated, and (d) taurine-conjugated bile acids. Significant differences were determined by two-tailed t-test between WT (pink) and Δbsh (blue) colonized mice (HDCA p = 5.2e-6****, 3αOH-KetoLCA p = 1.1e-7****, MuroCA p = 1.4e-4***). For (b-d), the bounds of the box plots represent Q1–Q3 with median as center and min-max values for whiskers. Biological replicates were n = 7 for WT and n = 8 for Δbsh. Source Data
Extended Data Fig. 5 Body weights and ileal bile acid concentrations in B. fragilis monocolonized mice. (a) Body weights relative to weight at inoculation on day 0. Data are presented as mean values ± SD. Ileal concentrations of (b) secondary, (c) glycine-conjugated, and (d) taurine-conjugated bile acids. Significant differences were determined by two-tailed t-test between WT (pink) and Δbsh (blue) colonized mice (HDCA p = 5.2e-6****, 3αOH-KetoLCA p = 1.1e-7****, MuroCA p = 1.4e-4***). For (b-d), the bounds of the box plots represent Q1–Q3 with median as center and min-max values for whiskers. Biological replicates were n = 7 for WT and n = 8 for Δbsh. Source DataCC BY · PubMed Central
Extended Data Fig. 6 Levels of BBAAs correlate with the time elapsed after birth until sample collection within 0–4 day sampling group. Spearman’s rank correlation was used to calculate significant correlations between individual bile acids quantified by LC-MS/MS and hours after birth the initial sampling occurred. Source Data
Extended Data Fig. 6 Levels of BBAAs correlate with the time elapsed after birth until sample collection within 0–4 day sampling group. Spearman’s rank correlation was used to calculate significant correlations between individual bile acids quantified by LC-MS/MS and hours after birth the initial sampling occurred. Source DataCC BY · PubMed Central
Extended Data Fig. 7 Regulation of human and murine ligand-activated transcription factors by bile acids. (a) Luciferase reporter assays for activation of human transcription factors FXR, VDR, CAR3, PXR, AHR, and PPARα, β/δ, and γ by a 50 µM dose of conventional and bacterially conjugated bile acids. (b) Luciferase reporter assays for activation of mouse nuclear receptors FXR and PPARα, β/δ, and γ by a 50 µM dose of conventional and bacterially conjugated bile acids. Differences between treatments and vehicle-treated control were determined using ANOVA with Dunnett’s post-hoc test (p < 0.05*), n = 3 per group. Color gradient is on a log scale. Source Data
Extended Data Fig. 7 Regulation of human and murine ligand-activated transcription factors by bile acids. (a) Luciferase reporter assays for activation of human transcription factors FXR, VDR, CAR3, PXR, AHR, and PPARα, β/δ, and γ by a 50 µM dose of conventional and bacterially conjugated bile acids. (b) Luciferase reporter assays for activation of mouse nuclear receptors FXR and PPARα, β/δ, and γ by a 50 µM dose of conventional and bacterially conjugated bile acids. Differences between treatments and vehicle-treated control were determined using ANOVA with Dunnett’s post-hoc test (p < 0.05*), n = 3 per group. Color gradient is on a log scale. Source DataCC BY · PubMed Central
Extended Data Fig. 8 Regulation of ligand-activated transcription factors by BBAAs in organoids. RT-qPCR of target genes for FXR (Fgf15/FGF19), CAR3 (Cyp2b10/CYP2B6), PXR (Cyp3a11/CYP3A4), and AHR (Cyp1a1/CYP1A1) in (a) mouse and (b) human small intestinal organoids treated with Glu-CA or Glu-CDCA. Expression was calculated using the 2−ΔΔCt method, normalized to Gapdh/GAPDH. Error bars represent SD. (a) Biological replicates were n = 3 for vehicle and n = 4 for treatments (Cyp3a11 p = 4.8e-3**, p = 1.5e-2*, Cyp1a1 Glu-CA-50 p = 4.7e-4***, Glu-CA-100 p = 3.3e-4***, Glu-CDCA-100 p = 2.3e-3). (b) Biological replicates were n = 8 for vehicle and n = 6 for treatments across two independent experiments (p = 3.3e-3**). All significant differences between treatments and vehicle were determined using one-way ANOVA with Dunnett’s post-hoc test. Source Data
Extended Data Fig. 8 Regulation of ligand-activated transcription factors by BBAAs in organoids. RT-qPCR of target genes for FXR (Fgf15/FGF19), CAR3 (Cyp2b10/CYP2B6), PXR (Cyp3a11/CYP3A4), and AHR (Cyp1a1/CYP1A1) in (a) mouse and (b) human small intestinal organoids treated with Glu-CA or Glu-CDCA. Expression was calculated using the 2−ΔΔCt method, normalized to Gapdh/GAPDH. Error bars represent SD. (a) Biological replicates were n = 3 for vehicle and n = 4 for treatments (Cyp3a11 p = 4.8e-3**, p = 1.5e-2*, Cyp1a1 Glu-CA-50 p = 4.7e-4***, Glu-CA-100 p = 3.3e-4***, Glu-CDCA-100 p = 2.3e-3). (b) Biological replicates were n = 8 for vehicle and n = 6 for treatments across two independent experiments (p = 3.3e-3**). All significant differences between treatments and vehicle were determined using one-way ANOVA with Dunnett’s post-hoc test. Source DataCC BY · PubMed Central
Extended Data Fig. 9 RT-qPCR of additional receptor target genes in organoids. (a) Relative mRNA expression of Bsep, Adrp, S100g, and Acox1 in mouse intestinal organoids. Biological replicates were n = 3 for vehicle and n = 4 for treatments. (b) Relative mRNA expression of FXR, PXR, CAR, and the FXR target genes short heterodimeric partner (SHP), bile salt export protein (BSEP), organic solute transporter-α (OSTα) and -β (OSTβ), and ileal bile acid binding protein (IBABP) in human intestinal organoids. Biological replicates were n = 8 for vehicle and n = 6 for treatments. Differences between treatments and vehicle were determined using one-way ANOVA with Dunnett’s post-hoc test (p = 0.011*). Source Data
Extended Data Fig. 9 RT-qPCR of additional receptor target genes in organoids. (a) Relative mRNA expression of Bsep, Adrp, S100g, and Acox1 in mouse intestinal organoids. Biological replicates were n = 3 for vehicle and n = 4 for treatments. (b) Relative mRNA expression of FXR, PXR, CAR, and the FXR target genes short heterodimeric partner (SHP), bile salt export protein (BSEP), organic solute transporter-α (OSTα) and -β (OSTβ), and ileal bile acid binding protein (IBABP) in human intestinal organoids. Biological replicates were n = 8 for vehicle and n = 6 for treatments. Differences between treatments and vehicle were determined using one-way ANOVA with Dunnett’s post-hoc test (p = 0.011*). Source DataCC BY · PubMed Central

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26 Own result · 9 Own method · 9 Own interpretation · 4 Partly supported · 3 Supported · 2 Couldn’t confirm · 2 No full text of the sources · 1 No basis given · accuracy not yet measured

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  • Probably not a substantial claim. 13
  • It may state two separate claims as one. 12
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  • The paper relies on this without support.

    E. coli lacks endogenous bsh.

    “Heterologous expression of the enzyme in E. coli, which lacks endogenous bsh, confers amine N-acyltransferase activity.”
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Metadata

Authors
Patterson, A., Rimal, B., Collins, S., Granda, M., Koo, I., Solanka, S., Hoque, N., Gentry, E., Yan, T., Bisanz, J., Krausz, K., Desai, D., Amin, S., Rocha, E., Coleman, J., Shah, Y., Gonzalez, F., Heuvel, J. V., Dorrestein, P., & Weinert, E.
Affiliations
  • Pennsylvania State University (US)
  • University of Michigan
  • University of California San Diego (US)
  • National Institutes of Health (US)
  • East Carolina University (US)
  • University of Michigan (US)
  • Penn State University
Corresponding author
Patterson, Andrew
Venue
Nature
Published
2022-10-10
Volume
626
Issue
8000
Pages
859-863
ISSN
0028-0836 (ISSN-L)
OpenAlex
W4391616565
Cited by
252
References
49
Citations by year
2026: 99 · 2025: 88 · 2024: 60 · 2023: 5
FWCI
28.43
Type
journal article
Language
en
Open access
Locations
  • Nature (publishedVersion, cc-by)
  • Research Square (submittedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
  • U.S. Department of Agriculture (1009993, U01DK119702)
  • American Heart Association (19POST34380588)
  • Pennsylvania Department of Health (UL1TR001878)
  • Children's Hospital of Philadelphia (UL1TR001878)
  • University of Pennsylvania (P30 DK050306)
  • University of Michigan (DK034933, P30CA046592, P50CA130810)
  • Pennsylvania State University
  • Crohn's and Colitis Foundation (675191, 623914)
  • American Beverage Foundation for a Healthy America
  • National Institutes of Health (1s10od021750-01a1, 1009993, PEN047702, UL1TR001878)
  • University of Michigan Comprehensive Cancer Center (P30 CA046592)
  • National Cancer Institute (R01CA245546, P50CA130810, P30CA046592, R01CA148828)
  • National Institute of General Medical Sciences (R01GM125842, R35GM138369, T32GM102057, R35GM151045)
  • National Institute of Allergy and Infectious Diseases (R00AI147165)
  • National Institute of Diabetes and Digestive and Kidney Diseases (P30DK034933, U01DK119702, T32DK120509, R01DK095201, R01DK136117, U24DK133658, P30DK050306, R01DK107565)
  • National Institute of Environmental Health Sciences (R35ES035027)
  • National Center for Research Resources
  • National Center for Advancing Translational Sciences
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Health Sciences › Medicine › Oncology › Drug Transport and Resistance Mechanisms
  • Physical Sciences › Chemistry › Organic Chemistry › Steroid Chemistry and Biochemistry
Keywords
bile salt hydrolase, bile acid metabolism, Bacteroides fragilis, gut microbiota, infant gut colonization, pregnane X receptor, aryl hydrocarbon receptor, ligand-activated transcription factors, Escherichia coli
MeSH terms
Gastrointestinal Microbiome, Pregnane X Receptor, Acyltransferases, Amidohydrolases, Amines, Bacteroides fragilis, Bile Acids and Salts, Escherichia coli, Humans, Infant, Ligands, Transcription Factors, Cohort Studies, Receptors, Aryl Hydrocarbon, Cell Culture Techniques, Biocatalysis

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