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Microbiome determinants of
arsenic toxicity
DELAWARE VALLEY DRUG METABOLISM DISCUSSION GROUP
9/17/2019
SETH WALK
MONTANA STATE UNIVERSITY
Michael Coryell
Nicholas Pinkham
Qian Wang Barbara Roggenbeck
Susan Broadaway
Mark McAlpine
Arsenic and the microbiome?
Timothy McDermott
Acutely toxic
Arsenic: a global crisis
200 million people are exposed to harmful levels in drinking water
Group 1 carcinogen
Skin, bladder, and lung cancers
Cardiovascular disease
Hypertension, heart attack, stroke, etc.
Metabolic disorders
Diabetes and obesity
Nervous system dysfunction
Cognitive function and neuropathy
Developmental outcomes
Pregnancy complications, cognitive delays
Arsenic: a global crisis
Agency for Toxic Substance and
Disease Registry
Ranks toxic substances based on:
Frequency
Toxicity
Potential for human exposure
Ranked #1 since 1997
Safe levels?
10 parts per billion (ppb) in human drinking water
Well water
Arsenic metabolism Mobility, accumulation,
and toxicity of arsenic
depend on its chemical
state
Arsenic cycling includes
reductions, oxidations,
methylations, and
thiolations
Trivalent more toxic than
pentavalent
Inorganic more toxic
than organic Cohen et al. Crit Rev Toxicol. 2013. 43(9):711-52
Arsenic (+3 oxidation state)
methyltransferase – AS3MT
Drobna et al. Chem Res Toxicol. 2009. 22(10):1713-20
Liver Urine
Carcinogenicity model
Cohen et al. Crit Rev Toxicol. 2013. 43(9):711-52
What was known
In nearly all environments where arsenic is found, microorganisms
contribute significantly to its mobility and toxicity
McDermott and many others
Arsenic was shown to perturb the gut microbiome of mice
Lu et al. Environ Health Perspect. 2014. Mar. 122(3):284-91.
Gut bacteria were shown to metabolize arsenic in vitro and there
was compelling evidence that this was relevant in vivo.
Van de Wiele et al. Environ Health Perspect. 2010. Jul. 118(7):1004-9.
Dheer et al. Toxicol Appl Pharmacol. 2015. 289:397-408.
Knowledge gap
1) Is microbiome arsenic metabolism beneficial or deleterious to the
host?
(Photo Credit: Giri AK, IICB, India)
Risk factors
Knowledge gap
1) Is microbiome-arsenic interaction beneficial or deleterious to the
host?
2) Does inter-individual variability in microbiome composition
influence disease?
3 orders of
magnitude
Cefoperazone
Antonopoulos et al. Infect Immun. 2009. Jun.
77(6):2367-75.
Coryell et al. Nat Commun. 2018. Dec 21;9(1):5424.
Coryell et al. Nat Commun. 2018. Dec 21;9(1):5424.
3 orders of
magnitude
Cefoperazone
Antonopoulos et al. Infect Immun. 2009. Jun.
77(6):2367-75.
Arsenic (+3 oxidation state)
methyltransferase – AS3MT
Drobna et al. Chem Res Toxicol. 2009. 22(10):1713-20
Liver Urine
Arnold et al. Toxicol Pathol. 2014. Jul. 42(5):855-62
AS3MT-KO mice are
exquisitely sensitive
to arsenic toxicity
Coryell M et al. Nat Commun. 2018. Dec 21;9(1):5424.
Is a human microbiome sufficient
for protection?
Coryell M et al. Nat Commun. 2018. Dec 21;9(1):5424.
Knowledge gap
1) Is microbiome arsenic metabolism beneficial or deleterious to the
host?
HIGHLY BENEFICIAL
2) Does inter-individual variability in microbiome composition
influence disease?
Is a human microbiome sufficient
for protection?
Coryell M et al. Nat Commun. 2018. Dec 21;9(1):5424.
Jonathan Martinson
Martinson et al. ISME J. 2019. Sep;13(9):2306-18.
Does variability in the human
microbiome correlate with disease
outcome?
Coryell M et al. Nat Commun. 2018. Dec 21;9(1):5424.
Knowledge gap
1) Is microbiome arsenic metabolism beneficial or deleterious to the
host?
HIGHLY BENEFICIAL
2) Does inter-individual variability in microbiome composition
influence disease?
YES
Coryell M et al. Nat Commun. 2018. Dec 21;9(1):5424.
Highly prevalent genus in human
microbiome samples
Ferments fiber
Butyrate producer
Anti-inflammatory activity
Strictly anaerobic
Used as a probiotic supplement
Faecalibacterium prausnitzii
F. prausnitzii requires a metabolic
partner in the murine gut
Miquel et al. Mbio. 2013. Apr;6(2):e00300-15.
Coryell M et al. Nat Commun. 2018. Dec 21;9(1):5424.
Summary
Arsenic metabolism in the mammalian gut provides protection
during exposure.
Inter-individual variability in microbiome composition results in
differences in protection.
The effect of individual bacteria is detectible in the hyper-sensitive
AS3MT-KO mouse model.
Coryell et al. Nat Commun. 2018. Dec 21;9(1):5424.
Qian et al. Environ Microbiol. 2015. 17(6):1926-40.
Knowledge gap
3) Does bioaccumulation of arsenic decrease toxicity?
MAGTGCKIWEDCKCGAACSCGDSCTCGTVKKGTTSRAGAGCPCGPKCKCTGQGSCNC
VKDDCCGCGK
16 cysteine residues for possible arsenic interaction
Escherichia coli AW3110 and AW3110::fmt
LB broth containing 0, 10, 25, 35, and 50 µM As(III)
0
0.2
0.4
0.6
0.8
1
1.2
1.4
0 5 10 15
Ce
ll c
on
ce
ntr
atio
ns
(OD
595)
Time (h)
No As
AW3110
AW3110::fmt
0
0.2
0.4
0.6
0.8
1
1.2
1.4
0 2 4 6 8 10 12
Ce
ll c
on
ce
ntr
atio
ns
(OD
595)
Time (h)
10 µM As(III)
AW3110
AW3110::fmt
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0 5 10 15
Ce
ll c
on
ce
ntr
atio
ns
(OD
595)
Time (h)
25 µM As(III)
AW3110
AW3110::fmt
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
0.45
0 5 10 15
Ce
ll c
on
ce
ntr
atio
ns
(OD
595)
Time (h)
35 µM As(III)
AW3110
AW3110::fmt
0
0.05
0.1
0.15
0.2
0.25
0.3
0 5 10 15C
ell c
on
ce
ntr
atio
ns
(OD
595)
Time (h)
50 µM As(III)
AW3110
AW3110::fmt
Day 14 (…too early to tell but…)
Mice colonized with fmt-expressing E. coli
No signs of toxicity
Mice colonized with wild-type E. coli
All showing significant precursors to mortality (squinting, hutched
posture, lack of preening, lack of movement, slowing of fecal output)
Knowledge gap
3) Does bioaccumulation of arsenic decrease toxicity?
All signs pointing toward YES
PSA: clonal microbiome dynamics
are important
Jonathan Martinson
Martinson et al. ISME J. 2019. Sep;13(9):2306-18.
2013. Science. 341(6141):1237439
2013
Temporal microbiome dynamics in
healthy individuals are understudied Few studies have been performed
Most rely exclusively on sequencing
Core microbiome persists for
decades
Radio-opque pellets
2.3 days (0.7-4.0)
Resident = present > 14 days
Gap ≤ 30 days
Days per Always
Participant Sample OTUs Resident Resident (Ave)
1 9.5 220 196 (89%) 76 (35%)
2 8.0 244 206 (84%) 99 (41%)
3 17.8 189 179 (95%) 80 (42%)
4 16.6 186 163 (88%) 57 (31%)
5 10.9 179 158 (88%) 77 (43%)
6 8.6 181 125 (69%) 63 (35%)
7 9.5 242 213 (88%) 90 (37%)
8 10.2 181 158 (87%) 94 (52%)
Average 10.5 203 175 (86%) 80 (39%)
All pairwise combinations
within a participant’s
samples:
Significant Positive
Correlation (Pearson) in
all except Participant 2
—However—
Weak Correlation
Coefficient
(range: 0.056–0.377)
&
Small Effect Size of Beta
Diversity Change
(range: 0.04–0.13)
Does microbiome diversity increase over time?
Through the lens of 16S rRNA sequencing, microbiomes sampled close in time
were
nearly as similar as those sampled over long periods of time.
Jonathan Martinson
Martinson et al. ISME J. 2019. Sep;13(9):2306-18.
Enterobacteriaceae >250 species
The most taxonomically diverse bacterial family
All taxa observed in humans can grow on MacConkey agar
Of the 32,470 isolates evaluated
29,306 were E. coli (90%)
3,164 were non-E. coli (10%)
E. coli belonged to at least 120 distinct clones
37 were resident (31%)
3 residents were non-E. coli sensu stricto (2.5%); one of these was a
cryptic Escherichia
E. coli sensu stricto
Non-E. coli sensu stricto
Present for 14
days or more?
Potential Resident
Transient
Yes No
Resident clone
MacConkey Agar
Martinson JV et al. ISMEJ. 2019. May 14. ePub Ahead of Print
Phylogroup Dynamics Within Participant 1
Repetitive elements targeted which
are change rapidly on an evolutionary
timescale.
Summary
Based on 16S sequencing, some OTUs are incredibly stable, but
clones within OTUs change a lot
Does clonal diversity really matter?
Welch RA et al. PNAS. 2002. Dec 24. 99(26):17020-24.
Acknowledgements
Walk Lab
Sue Broadaway
Jonathan Martinson
Nicholas Pinkham
Garrett Peters
Mark McAlpine
Michael Coryell
Barbara Roggenbeck
Qian Wang
Genevieve Coe
McDermott Lab (MSU)
Tim McDermott
Collaborators
France Lefcort – MSU
Valèrie Copiè – MSU
Edward Schmidt – MSU
Brian Bothner – MSU
Ping Li – Chinese U of Geosciences
Lora Arnold – U Nebraska
Samuel Cohen – U Nebraska
X. Chris Le – U Alberta
Masafumi Yoshinaga – Florida International University Animal Resource Center
(MSU)
DuBois Lab (MSU)
Jennifer DuBois
Rand Lab (U Rochester)
Matthew Rand
Funding
Martinson JV et al. ISMEJ. 2019. May 14. ePub Ahead of Print
Human equivalent dose (HED)
Mouse Km = 3, Human Km = 37
Doses typically used to study ACUTE toxicity
10 ppm 811 ppb in humans
25 ppm 2,027 ppb in humans
100 ppm 8,108 ppb
𝐻𝐸𝐷 𝑚𝑔
𝑘𝑔= 𝐴𝑛𝑖𝑚𝑎𝑙 𝑑𝑜𝑠𝑒
𝑚𝑔
𝑘𝑔𝑚𝑢𝑙𝑡𝑖𝑝𝑙𝑖𝑒𝑑 𝑏𝑦
𝐴𝑛𝑖𝑚𝑎𝑙 𝐾𝑚
𝐻𝑢𝑚𝑎𝑛 𝐾𝑚
Surface soils
Photo by Stewart Jennings
8% of 5,023 wells were at or
above 10 ppb