Silvia Balbo1, Robert J Turesky, Peter W Villalta. 1. Department of Medicinal Chemistry and ‡The Masonic Cancer Center, University of Minnesota , Minneapolis, Minnesota 55455, United States.
Abstract
Systems toxicology is a broad-based approach to describe many of the toxicological features that occur within a living system under stress or subjected to exogenous or endogenous exposures. The ultimate goal is to capture an overview of all exposures and the ensuing biological responses of the body. The term exposome has been employed to refer to the totality of all exposures, and systems toxicology investigates how the exposome influences health effects and consequences of exposures over a lifetime. The tools to advance systems toxicology include high-throughput transcriptomics, proteomics, metabolomics, and adductomics, which is still in its infancy. A well-established methodology for the comprehensive measurement of DNA damage resulting from every day exposures is not fully developed. During the past several decades, the (32)P-postlabeling technique has been employed to screen the damage to DNA induced by multiple classes of genotoxicants; however, more robust, specific, and quantitative methods have been sought to identify and quantify DNA adducts. Although triple quadrupole and ion trap mass spectrometry, particularly when using multistage scanning (LC-MS(n)), have shown promise in the field of DNA adductomics, it is anticipated that high-resolution and accurate-mass LC-MS(n) instrumentation will play a major role in assessing global DNA damage. Targeted adductomics should also benefit greatly from improved triple quadrupole technology. Once the analytical MS methods are fully mature, DNA adductomics along with other -omics tools will contribute greatly to the field of systems toxicology.
Systems toxicology is a broad-based approach to describe many of the toxicological features that occur within a living system under stress or subjected to exogenous or endogenous exposures. The ultimate goal is to capture an overview of all exposures and the ensuing biological responses of the body. The term exposome has been employed to refer to the totality of all exposures, and systems toxicology investigates how the exposome influences health effects and consequences of exposures over a lifetime. The tools to advance systems toxicology include high-throughput transcriptomics, proteomics, metabolomics, and adductomics, which is still in its infancy. A well-established methodology for the comprehensive measurement of DNA damage resulting from every day exposures is not fully developed. During the past several decades, the (32)P-postlabeling technique has been employed to screen the damage to DNA induced by multiple classes of genotoxicants; however, more robust, specific, and quantitative methods have been sought to identify and quantify DNA adducts. Although triple quadrupole and ion trap mass spectrometry, particularly when using multistage scanning (LC-MS(n)), have shown promise in the field of DNA adductomics, it is anticipated that high-resolution and accurate-mass LC-MS(n) instrumentation will play a major role in assessing global DNA damage. Targeted adductomics should also benefit greatly from improved triple quadrupole technology. Once the analytical MS methods are fully mature, DNA adductomics along with other -omics tools will contribute greatly to the field of systems toxicology.
Traditional
toxicology is rapidly evolving into a systems-based
approach whereby many toxicological interactions that occur within
a living system under stress or subjected to a variety of endogenous
and/or exogenous exposures are captured. Systems toxicology approaches
have been developed as a means to understand better and predict potential
toxicities of specific compounds (e.g., early-stage drug development),
to perform more accurate and comprehensive assessment of environmental
exposures, or to assess the gene–environment interaction in
disease causation.[1−5]It is now well-recognized that understanding the etiology
of complex
diseases such as cancer requires understanding the human body’s
response to exposures to many hazardous chemicals. The identification
of toxic chemicals that enter the body from exogenous sources such
as air pollutants, radiation, water contaminants, food, and drugs
must be considered together with endogenous chemicals derived from
cellular metabolism or endogenous processes, including inflammation,
oxidative stress, infection, and chemicals derived from complex interactions
with the gut flora.[4−6]The recognized impact of chemicals in the environment
and within
the body on human health has led to the development of the exposome
concept. The exposome refers to the totality of exposures received
by a person during life, including exposures from life-style factors,
from the prenatal period to death. This concept was developed to underline
the need for better tools and techniques to provide a more accurate
environmental exposure assessment in human health studies.[7] The notion of the exposome leads to a new definition
of the measurement of environmental exposures that includes the body’s
internal chemical environment and the external environmental influences
as well as their associated biological responses.[8,9] The
exposome is highly dynamic, evolving over time, and thus can only
be measured as a cumulative exposure at a certain point in time.The ability to investigate the exposome is possible due to the
development of several new powerful technologies such as high-throughput
transcriptomics, proteomics, and metabolomics.[4,10,11] These techniques can be used to investigate
an individual’s response to exposure to complex mixtures taking
into account interindividual variations in bioavailability, absorption,
metabolism, and excretion of compounds. The presence of endogenous
reactive electrophiles, formed as a consequence of cellular processes
such as inflammation, can also impact health and may trigger responses
in the body such as formation of modified proteins or DNA. The investigation
of these effects has led to the development of adductomic approaches
for the investigation of protein adducts[12] and DNA adducts.[13]The exposure
to genotoxic chemicals and their reactive metabolites
induces chemical modifications of DNA, known as DNA adducts, which
have been studied extensively and play a key role in chemically induced
carcinogenesis.[14−16] DNA adducts, if not repaired, can lead to mutations
during cell division and may ultimately disrupt the regular functioning
of the systems regulating normal cell growth. Quantitation of the
levels of specific DNA adducts can provide valuable information about
the biologically effective dose of the procarcinogen. The measurement
of DNA adducts resulting from the exposure to a specific carcinogen
can provide crucial information about the genotoxic potential of the
chemical and its mechanism of carcinogenesis.[17,18] The DNA adducts of specific chemicals have been employed as biomarkers
in molecular epidemiology and cancer prevention studies.[19−25]Studies on Aflatoxin B1 (AFB1) and aristolochic
acid (AA) are two prime examples where the molecular epidemiologic
data on chemical exposures, chemical-specific DNA adducts in target
tissues, and mutation spectra in tumor-related genes have provided
a mechanistic understanding of the causal role for a chemical in the
development of cancer.[26−29] AFB1 is a fungal toxicant and a potent animal and human
hepatocellular carcinogen that can be found as a contaminant in various
crops.[26,27] AA, a carcinogen present in the plant species
of the genus Aristolochia, is a causal
agent of upper urothelial tract cancer in subjects of the Balkans
and Taiwan.[28,30−32] The positive
associations observed between dietary AFB1 exposure and
the incidence of hepatocellular carcinoma in Asia and Africa were
greatly strengthened by the application of validated DNA adduct biomarkers;
specifically, when a characteristic G:C → T:A transversion
at the third base in codon 249 of the TP53tumor-suppressor
gene was attributed to the N7 guanine adduct of AFB1.[26,33,34] There is also
compelling molecular epidemiology data on AA exposure and cancer risk:
the N6 deoxyadenosine adduct of AA, which is responsible
for otherwise rare A:T → T:A transversions, is frequently observed
in the TP53 gene in urothelial carcinomas of patients.[28,31,32]The data of these molecular
epidemiologic studies combined with
the mechanistic information on chemical carcinogenesis have firmly
established causative linkages between exposure to AFB1 and AA and cancer risk. These investigations,[26−28,100] are the gold standard in epidemiological studies that seek
to identify chemical exposures and increased cancer risk. AFB1 and AA are highly potent human carcinogens, where elevated
levels of exposure and unique mutational signatures were used to establish
the causative role of these chemicals in humancancer. Many genotoxicants
do not display such unique or characteristic mutational fingerpints
in tumor-related genes, and demonstrating causality of specific chemicals
in cancer will be difficult.The ability to biomonitor many
DNA adducts may permit the identification
of exposures to certain hazardous chemicals in the environment and
permit strategies to mitigate the exposures and the risk of cancer.
These considerations of exposures to multiple genotoxicants in the
environment and diet together with the need to develop methods to
screen for unknown DNA adducts formed after exposure to specific toxicants
have prompted researchers to develop a new DNA adductomic approach
to screen for many DNA lesions simultaneously,[35,36] ultimately aiming at developing a sensitive, versatile, and robust
DNA adductomic approach, which would be a very powerful tool for exposome
characterization and cancer-based systems toxicology studies.
Methods for Screening DNA Adducts
Several methods for
DNA adduct analysis exist, including 32P-postlabeling,
LC–MS, GC–MS, CE–MS, fluorescence,
immunoassay, and electrochemical detection.[37,38] Many DNA adduct investigations from the 1980s until the present were predominately
done using the 32P-postlabeling methodology, which is well-suited
to a broad-based DNA adduct analysis because of its inherent ability
to monitor many adducted nucleotides simultaneously in a given sample. (39) More recently, MS analysis has emerged as the
preferred technique because it provides a selective and quantitative
measure of specific DNA modifications.[40−42] The recent improvements
in MS scanning acquisition capabilities and instrument sensitivity
have set the stage for the use of MS in high-throughput applications
in DNA adductomic approaches. Both 32P-postlabeling and
MS-based DNA adductomic methodologies are discussed in the following
sections.
32P-Postlabeling
The 32P-postlabeling assay was developed by Kurt and Erica Randerath,
Ramesh Gupta, and Vijay Reddy at Baylor College of Medicine in Houston
more than 30 years ago.[43−45] This technique employs T4 polynucleotide
kinase to incorporate enzymatically [γ-32P]ATP of
very high specific activity (>5000 Ci/mmol) into carcinogen-adducted
3′ nucleotides to form the radiolabeled 3′,5′-bisnucleotide
adducts (Figure 1). The technique has been
applied to screen for DNA adducts formed by more than 100 chemicals
that include aristolochic acids, aromatic amines, azo compounds, estrogens,
heterocyclic aromatic amines, lipid peroxidation products, methylating
agents, mycotoxins, nitro aromatics, and polycyclic aromatic hydrocarbons
and other genotoxicants.[19,31,39,46−51]
Figure 1
DNA
is enzymatically digested to 3′ mononucleotides, and
the postlabeling is then achieved by transfer of 32P-orthophosphate
from [γ-32P]ATP to the 5′-OH position of the
deoxyribonucleotide adduct. This reaction is mediated by polynucleotide
kinase (PNK).
DNA
is enzymatically digested to 3′ mononucleotides, and
the postlabeling is then achieved by transfer of 32P-orthophosphate
from [γ-32P]ATP to the 5′-OH position of the
deoxyribonucleotide adduct. This reaction is mediated by polynucleotide
kinase (PNK).The 32P-postlabeling
assay was a great advancement in
the biomonitoring of DNA adducts because it was the first method that
could be employed in human studies where there are potentially many
hazardous chemicals present in the environment. Several versions of
the 32P-postlabeling method were established, employing
limiting concentrations of [γ-32P]ATP to label DNA
adducts selectively over nonmodified nucleotides, different conditions
of enzymatic digestion of DNA, or pre-enrichment of DNA adducts from
nonmodified 3′ nucleotides by extraction with n-butanol prior to postlabeling. These assays resulted in the enhancement
of the sensitivity of DNA adduct detection. Despite the fact that
these modifications to the original assay were made more than 20 years
ago, they still remain the primary methods for postlabeling today.[39,45,52] Certain DNA adducts can be detected
at levels approaching 1 adduct per 1010 nucleotides. The 32P-labeled adducts are separated from nonmodified radiolabeled
3′,5′ nucleotides (pNps) by two-dimensional TLC, and
the adducts are either visualized as a pattern of spots by autoradiography
or seen as chromatographic peaks by HPLC with radioactive detection.[18,43,45,53]The 32P-postlabeling method has been successfully
employed
to screen for DNA adducts in lung, liver, esophagus, pancreas, colon,
prostate, mammary gland, white blood cells,[50,54−56] and exfoliated epithelial cells in urine of smokers[57] or epithelial cells in the milk of lactating
mothers.[58] Other studies have screened
for DNA adducts derived from tobacco genotoxicants or lipid peroxidation
products in the oral cavity and sputum from lung cancerpatients.[59−61] The analysis of DNA of smokers by 32P-postlabeling has
revealed the presence of smoking-related adducts in many tissues.[55,62] The complex array of lesions is often seen as a diffuse diagonal
radioactive zone (DRZ) on TLC plates and probably represents a mixture
of DNA adducts derived from many genotoxicants in tobacco smoke, as
shown in Figure 2a.[55,62,63] The chemical structures of the smoking-related
adducts observed in the DRZ are unknown.[64] Some of the lesions were thought to be derived from PAHs or aromatic
amines; however, Arif et al. recently reported that many of the cigarette
smoke-associated lung DNA adducts appearing on their chromatograms
as DRZs were not related to either PAHs or aromatic amines.[59] In other studies, putative adducts of aromatic
amines, heterocyclic aromatic amines, polycyclic aromatic hydrocarbons,
and aristolochic acid (Figure 2b) have been
tentatively identified by comigration of the 32P-labeled
adduct with synthetic DNA adduct standards using HPLC with UV detection.[46,58,63,65,66]
Figure 2
(a) Specimen obtained from a smoker in which
a diagonal radioactive
zone (DRZ) is present (the typical pattern of smoking-related DNA
adducts). This analysis is from an autoradiogram of DNA adducts in
lymphocytes from a smoker. (b) Autoradiogram of DNA adducts in renal
tissue from a patient with aristolochic acid nephropathy using the 32P-postlabeling method. In spot 1, the adduct was identified
by cochromatography with a synthesized standard as 7-(deoxyadenosine-N6-yl)-aristolactam I, in spot 2 as 7 (deoxyguanosine-N2-yl)-aristolactam I, and in spot 3 as 7-(deoxyadenosine-N6-yl)-aristolactam II. Adapted with permission
from ref (63), copyright
2007, Macmillan Publishers Ltd.
(a) Specimen obtained from a smoker in which
a diagonal radioactive
zone (DRZ) is present (the typical pattern of smoking-related DNA
adducts). This analysis is from an autoradiogram of DNA adducts in
lymphocytes from a smoker. (b) Autoradiogram of DNA adducts in renal
tissue from a patient with aristolochic acidnephropathy using the 32P-postlabeling method. In spot 1, the adduct was identified
by cochromatography with a synthesized standard as 7-(deoxyadenosine-N6-yl)-aristolactam I, in spot 2 as 7 (deoxyguanosine-N2-yl)-aristolactam I, and in spot 3 as 7-(deoxyadenosine-N6-yl)-aristolactam II. Adapted with permission
from ref (63), copyright
2007, Macmillan Publishers Ltd.The DNA adduct biomarker data obtained from numerous studies
employing
the 32P-postlabeling assay reveal that human DNA is modified
with many different environmental, dietary genotoxicants, and endogenous
electrophiles and that the level of DNA damage can be potentially
influenced by lifestyle and host factors.[55,64] The 32P-postlabeling assay remains a mainstay for biomonitoring
exposure and screening for DNA damage in humans because it is a highly
sensitive technique and the cost of establishing an analytical laboratory
is relatively low. However, the 32P-method has
important limitations. The technique is labor-intensive and requires
significant amounts of radioactive phosphorus, a strong β-emitter
and potential health hazard; there are a lack of suitable internal
standards to account for adduct recovery and labeling efficiency,
which can vary by more than 100-fold;[67] and there is no structural information about the lesion, which leaves
the identity of the adduct ambiguous; in addition, different kinds
of adducts tend to require different assay conditions. Finally, the
identification and quantification of DNA adducts by the 32P-postlabeling method are particularly challenging in humans, where
many overlapping lesions may be present.[55,64]
Mass Spectrometry Approaches for DNA Adductomics
Liquid chromatography–mass spectrometry (LC–MS) is
currently the primary method for characterization and quantitation
of covalent modification of DNA,[13,37,68] commonly performed using tandem mass spectrometry
and positive mode electrospray ionization. Gas chromatography–mass
spectrometry (GC–MS) is less commonly used because many adducts
are thermally unstable. Nevertheless, chemical derivatization of the
polar nucleosides or more commonly the aglcyone adducts has made some
types of DNA adducts amenable to GC–MS-based analysis.[69] GC–MS has been used primarily for specific
classes of DNA adducts, such as those resulting from the reaction
of reactive oxygen species (•OH) with DNA. Care must be taken to avoid artifactual formation
of oxidized bases during the derivatization at high temperature of
the hydrolysate, thus potentially reducing the versatility of the
application of this technique.[70]Mass spectrometry-based analysis of DNA modifications traditionally
has been a bottom-up approach where analyses focus on small numbers
of anticipated DNA adducts based on a priori assumptions
regarding the formation of specific adducts and in vitro analysis. Typically, studies focus on the identification and quantitation
of a limited number of DNA modifications arising from a specific exposure
and/or chemical interaction. However, to measure DNA damage comprehensively,
which is required by the systems toxicology paradigm, a new top-down
DNA adductomics approach is required that can simultaneously screen
for multiple DNA adducts derived from known and unknown exposures
and from biological responses to exposures such as induced formation
of endogenous electrophiles. Initial investigations of various biological
samples have been performed,[35,36,68,71−80] and effective methodologies are poised to come to the forefront
with rapidly improving instrumentation and additional development
work aimed at optimizing chromatography, sample preparation, and data
collection and analysis.LC–MSn-based DNA
adductomics investigations take
advantage of the common structural feature of deoxyribonucleosides:
a deoxyribose moiety bound to the nucleobase through a glycosidic
bond.[81] The product ion spectra of structurally
modified DNA nucleosides in the positive ionization mode (A–B–dR,
where B = nucleobase, A = modification, and dR = 2′-deoxyribosesugar) acquired under low-energy collision-activated dissociation
(CAD) are dominated by the cleavage of the glycosidic bond and a neutral
loss of dR (116 amu), leading to protonated nucleobases ([B–A] + H)+, as shown in Figure 3.
Figure 3
2′-Deoxyribose
is the sugar moiety present in all DNA adducts.
Low-energy CAD spectra of structurally modified DNA nucleosides (A–B–dR,
where B = nucleobase, A = modification, and dR = 2′-deoxyribose
sugar) are dominated by the cleavage of the glycosidic bond and a
neutral loss of dR (116 amu), leading to protonated nucleobase ions
([B–A] + H)+. Monitoring the neutral loss can be
used for DNA adduct screening via LC–MSn methodologies.
2′-Deoxyribose
is the sugar moiety present in all DNA adducts.
Low-energy CAD spectra of structurally modified DNA nucleosides (A–B–dR,
where B = nucleobase, A = modification, and dR = 2′-deoxyribosesugar) are dominated by the cleavage of the glycosidic bond and a
neutral loss of dR (116 amu), leading to protonated nucleobase ions
([B–A] + H)+. Monitoring the neutral loss can be
used for DNA adduct screening via LC–MSn methodologies.DNA adducts that are exceptions
to this paradigm are those (1)
formed on the phosphate portion of DNA, (2) excreted as free nucleobases
in urine because of spontaneous hydrolysis, depurination, and/or active
repair,[82−84] and (3) structurally similar to the DB[a,I]Pdihydroepoxide adduct of dA, which upon fragmentation
was found to produce mostly ions corresponding to the DB[a,I]P moiety.[78] In spite
of these exceptions, the neutral loss of the deoxyribose group is
widely universal and can be used for screening DNA adducts via LC–MSn methodologies.
Sample Source and Preparation
Common biological sources of DNA include tissues, blood, oral cells,
and urine. For quantitative analysis of DNA adducts, 1–200
μg of DNA is required depending on the abundance of the lesion
and the sensitivity of the analytical method. The amount of DNA required
for successful adduct detection via DNA adductomic investigations
will depend greatly on the level of adduct present, the analytical
approach, the ionization efficiency of the adduct, and the MS instrumentation.[13] More DNA is required for adductomic analysis
than for targeted DNA adduct quantitation using the same instrumentation
and analytical parameters. The breadth of DNA adductomics is dependent
on the efficiency of digestion of chemically modified DNA, and adducts of different structures may require different cocktails of enzymes
for quantitative digestion of DNA to the mononucleoside adducts (typical
combinations of enzymes are nucleases or DNases used with phosphodiesterases
and alkaline phosphatase).[85]After
DNA hydrolysis, DNA adducts must be enriched and purified
from the nonmodified deoxynucleosides that are present in 106 to 109 excess. Therefore, the DNA hydrolysates are often
processed by solid-phase extraction cleanup steps to enrich DNA adducts
and to remove the bulk of unmodified nucleosides, proteins, inorganic
salts, and other sample components that can interfere with MS analysis.[37,41] The cleanup of DNA adductomic samples requires great care to avoid
inadvertent loss of unknown or unanticipated adducts, especially hydrophilic
adducts. If a specific class of adducts are the target of the analysis,
then more selective enrichment procedures may be possible. Finally,
the ionization efficiencies of different classes of DNA adducts vary
and therefore pH and solvent compositions must be optimized for LC–MS
measurements.
Scanning Modes
Constant
neutral loss (CNL) scanning using triple quadrupole MS
instrumentation has been a common approach for DNA adductomic analysis.[73,77,78] In this scan mode, shown in Figure 4, quadrupole 1 (Q1) and Q3 scan in sync offset from
each other by the user-defined mass difference (m/z = 116 amu). Voltage is applied to the collision
cell (q2) filled with inert gas (typically argon) to induce fragmentation.
Only ions that fragment with the specific neutral loss will pass through
Q1, q2, and Q3 and be recorded as signal.
Figure 4
Constant neutral loss
scanning method using triple quadrupole instrumentation.
Quadrupoles Q1 and Q3 scan in sync offset from each other by the user-defined
mass difference (m/z = 116 amu).
Voltage is applied to the collision cell (q2) filled with argon to
induce fragmentation. Only ions that fragment with the specific neutral
loss will pass through Q1, q2, and Q3 and be recorded as
signal.
Constant neutral loss
scanning method using triple quadrupole instrumentation.
Quadrupoles Q1 and Q3 scan in sync offset from each other by the user-defined
mass difference (m/z = 116 amu).
Voltage is applied to the collision cell (q2) filled with argon to
induce fragmentation. Only ions that fragment with the specific neutral
loss will pass through Q1, q2, and Q3 and be recorded as
signal.A variation is a pseudo-CNL approach[35,36,72,74,75,79] whereby instead
of actually scanning
the quadrupoles, the system is set to monitor a number of contiguous
selected reaction monitoring (SRM) transitions all involving a loss
of 116 amu. Multiple injections are made (typically 7–15),
each covering a different mass range, so that a large range is ultimately
covered for a given sample.The pseudo-CNL approach may provide
superior sensitivity over the
traditional CNL approach because multiple transitions, all employing
the loss of 116 in SRM mode and covering a small mass range, are monitored,
as opposed to CNL, where scanning is performed over a large mass range.
Scanning of the triple quadrupole mass spectrometer results in a significant
loss in sensitivity, relative to SRM operation, because of the poor
duty cycle of individual ion mass detection.The pseudo-CNL approach, requiring multiple injections, is more time-consuming
and susceptible to instrument variability than traditional CNL. The
newer generation of triple quadrupole instruments are capable of rapid switching between SRM transitions and may permit a single analysis
covering the entire mass range (e.g., 250–500 amu in 0.5 s)
of interest. Conversely, the traditional CNL analysis can be performed
over a smaller mass scan range with multiple injections to increase
sensitivity. The relative merits of the traditional CNL and pseudo-CNL
approaches require further evaluation with newer, more advanced triple
quadrupole MS instrumentation. Relative ease of method set up and
data analysis may provide an advantage of one approach over the other.Another powerful MS-based DNA adductomics methodology uses data-dependent
(DD) scanning, where repeated full-scan analysis is followed by fragmentation
of the most abundant ions throughout the entire chromatographic run.
DD scanning is performed in real time by the instrument software and
can be optimized for improved DNA adduct coverage by avoiding repeated
fragmentation of the most abundant ions. The acquisition method can
be programmed such that masses of ions selected for fragmentation
can be placed into a dynamic exclusion list that makes them no longer
eligible for fragmentation for a predetermined length of time. In
addition, a reject mass list can be programmed such that a list of
interfering background ions can be excluded from analysis (fragmentation).
Examples of the use of this approach include DD–MS2 analysis using quadrupole-time-of-flight instrumentation[80] and DD–MS3 analysis using
ion trap instrumentation, as illustrated in Figure 5.[71,76]
Figure 5
Data-dependent (DD) scanning method. Schematic
representation of
a DD–MS3 analysis. Repeated full-scan analysis is
followed by fragmentation of the most abundant ions determined by
the mass spectrometer software in real time throughout the entire
chromatographic run based on the initial programming of the data-dependent
method. The ions showing neutral loss of 116 amu (green) undergo additional
fragmentation (MS3). The ion masses not showing neutral
loss of 116 amu (red and blue) are put into an exclusion list so that
they are no longer eligible for fragmentation for a predetermined
length of time. To avoid repeated fragmentation of the most abundant
ions, the method can be programmed such that masses of ions selected
for fragmentation are also added to the exclusion list for a predetermined
length of time. Adapted from ref (91). Copyright 2014 American Chemical Society.
Data-dependent (DD) scanning method. Schematic
representation of
a DD–MS3 analysis. Repeated full-scan analysis is
followed by fragmentation of the most abundant ions determined by
the mass spectrometer software in real time throughout the entire
chromatographic run based on the initial programming of the data-dependent
method. The ions showing neutral loss of 116 amu (green) undergo additional
fragmentation (MS3). The ion masses not showing neutral
loss of 116 amu (red and blue) are put into an exclusion list so that
they are no longer eligible for fragmentation for a predetermined
length of time. To avoid repeated fragmentation of the most abundant
ions, the method can be programmed such that masses of ions selected
for fragmentation are also added to the exclusion list for a predetermined
length of time. Adapted from ref (91). Copyright 2014 American Chemical Society.
DNA Adductomics
Analysis Using Mass Spectrometry
The published studies of
DNA adductomic analysis utilizing MS2 neutral loss of deoxyribose
are summarized in Table 1. The efforts of the
various research groups active
in this field are briefly summarized in this section.
Table 1
Summary of Published LC–MSn-Based DNA Adductomics
Studies
approach
instrument
sample type
adduct type
details
ref
CNL
triple quad
in vitro
PhIPa
early
report of MS adductomics
(77)
triple quad
in vitro animal
tissues
IQb
electrospray
at ∼500 nL/min
(73)
triple quad
in vitro
polyaromatic hydrocarbons
column switching 500–650 Da
(78)
pseudo-CNL
triple quad
human lung
screening
of unknowns
method development adductome map data analysis
(35)
triple quad
human lung and esophagus
screening of unknowns
seven adducts unambiguously detected
(74)
triple quad
various
human tissues
screening of unknowns
adducts
detected at ∼1 adduct per 10[7] bases
(72)
triple quad
food (Quorn,
button mushrooms, brewer’s yeast)
screening of
unknowns
7 SRM transitions per injection
(79)
triple quad
in vitro
micronucleus test-positive compounds
application to micronucleus test
(75)
triple quad
human gastric
mucosa
screening of unknowns
first report
of lipid peroxidation-related adducts in human
2-Amino-1-methyl-6-phenylimidazo[4,5-b]pyridine
(PhIP).2-Amino-3-methylimidazo[4,5-f]quinolone (IQ).4-Aminobiphenyl (4-ABP).2-Amino-3,8-dimethylimidazo[4,5-f]quinoxaline
(MeIQx).Vouros and co-workers
and Turesky and co-workers were the among
the first researchers using this approach to screen for DNA adducts.[73]Already in 1994, Wolf and Vouros applied a CNL
approach using a capillary liquid chromatography-continuous flow fast
atom bombardment mass spectrometry method for the screening of adducts
formed in vitro by the reaction of N-acetoxy-N-acetyl-2-aminofluorene with calf thymus
DNA.[81] Additional initial efforts by Turesky’s
group[77] investigated adducts formed in vitro from 2-amino-1-methyl-6-phenylimidazo[4,5-b]pyridine (PhIP), a carcinogen formed in cooked meats.
CNL methodology with triple quadrupole instrumentation and capillary
chromatography was used to identify three PhIP-related adduction products
that were shown to be dG–C8 adducts of PhIP (dG–C8–PhIP)
and two ring-opened oxidized derivatives of dG–C8–PhIP.
This effort was followed by in vitro and in vivo investigations of DNA adducts derived from 2-amino-3-methylimidazo[4,5-f]quinoline (IQ), another structurally related food-derived
mutagen.[73] A similar CNL scanning methodology
was employed with a triple quadrupole MS, and nanoflow conditions
were used to improve sensitivity.[86] The
investigators directly compared the screening of DNA adducts of kidney
tissues of monkeys chronically fed with IQ by SRM and CNL with 32P-postlabeling data; the same pattern of adducts was identified
by both MS and 32P-postlabeling techniques.Esmans
and co-workers were the first researchers to demonstrate
the use of data-dependent scanning for DNA adduct screening. They
used quadrupole-TOF instrumentation to analyze DNA treated with melphalan in vitro, testing single nucleosides, calf thymus DNA, and
DNA from Jurkat cells.[80] A column-switching
device was used for online sample cleanup and operated under capillary
flow conditions (5 μL/min). In spite of acquiring data by high-resolution
TOF MS, the results were reported with nominal masses, and the accurate
mass capabilities of this instrumentation were not utilized.Matsuda and co-workers have published a series of investigations[20,35,36,72,74,75,80] after establishing a pseudo-CNL methodology.[35] They employed a triple quadrupole MS and acquired
32 SRM transitions per injection with 12 injections per sample to
cover a mass range of m/z 228.8
to 602.8 amu. The DNA from lung tissue of a nonsmoker and a smoker
was analyzed to generate what the authors refer to as an adductome
map (Figure 6). The adductome map is a plot of ion signal intensity (indicated as circles whose diameters are proportional to their relative intensities) with m/z as
the y axis and retention time as the x axis. The comparison between maps obtained for the nonsmoker and
smoker samples permits the visualization of putative adducts of different
intensities in the two samples. This scanning method was then used
to measure the intertissue DNA damage variation in human lung and
esophagus,[74] lipid peroxidation-induced
DNA adducts in human autopsy tissues,[72] DNA adducts induced by DNA-damaging capability of in vitro micronucleus test-positive compounds,[75] and lipid peroxidation-induced DNA adducts in human gastric mucosa.[36] More than 100 putative DNA lesions were detected
by this method. Although the CNL and pseudo-CNL approaches do allow
for the screening of multiple putative lesions in DNA, the observed signal could be a result of other compounds in the DNA digest matrix that lose 116 amu upon collision-induced dissociation.
Figure 6
Two adductome maps of putative DNA adducts detected in
central
(A) and peripheral (B) human lung tissue DNA from the same individual.
The neutral loss of 2′-deoxyribose from positively ionized
2′-deoxynucleoside putative adducts was analyzed by LC/ESI-MS/MS
in MRM mode transmitting the [M + H]+ → [M + H –
116]+ transition over a total of 374 transitions in the
mass range from m/z 228.8 to 602.8.
The graph plots the m/z of the observed putative
adducts versus the retention time (tR).
The adducts whose size is proportional to the signal intensity are
represented with a circle. An active zone in which most of the putative
adducts are observed is indicated by the box on the map. Attention
is drawn to the presence of four putative adducts that were detected
with relatively similar area response values in the active zone of
the two lung DNA samples. These four unidentified putative adducts
are designated in the adductome maps by letters a–d. The four
putative adducts, (a) m/z 307.8, tR 11.46–11.48; (b) m/z 285.8, tR 11.48;
(c) m/z 265.8, tR 13.36–13.40; and (d) m/z 283.8, tR 11.44–11.48,
all possessed relatively similar area response values in lung tissue.
Adapted from ref (74), copyright 2007, used with permission from Elsevier.
Two adductome maps of putative DNA adducts detected in
central
(A) and peripheral (B) human lung tissue DNA from the same individual.
The neutral loss of 2′-deoxyribose from positively ionized
2′-deoxynucleoside putative adducts was analyzed by LC/ESI-MS/MS
in MRM mode transmitting the [M + H]+ → [M + H –
116]+ transition over a total of 374 transitions in the
mass range from m/z 228.8 to 602.8.
The graph plots the m/z of the observed putative
adducts versus the retention time (tR).
The adducts whose size is proportional to the signal intensity are
represented with a circle. An active zone in which most of the putative
adducts are observed is indicated by the box on the map. Attention
is drawn to the presence of four putative adducts that were detected
with relatively similar area response values in the active zone of
the two lung DNA samples. These four unidentified putative adducts
are designated in the adductome maps by letters a–d. The four
putative adducts, (a) m/z 307.8, tR 11.46–11.48; (b) m/z 285.8, tR 11.48;
(c) m/z 265.8, tR 13.36–13.40; and (d) m/z 283.8, tR 11.44–11.48,
all possessed relatively similar area response values in lung tissue.
Adapted from ref (74), copyright 2007, used with permission from Elsevier.Turesky and co-workers used the DD–CNL–MS3 approach to screen for DNA adducts in human hepatocytes treated
with 4-aminobiphenyl (4-ABP), in livers of rats exposed to 2-amino-3,8-dimethylimidazo[4,5-f]quinoxaline (MeIQx), and buccal cell DNA from tobacco
smokers.[71] The DD–CNL–MS3 approach involves the triggering of MS3 fragmentation
following the neutral loss of 116 amu in the MS2 spectra
of the putative adduct. They used a linear quadrupole ion trap MS
and capillary column with a CaptiveSpray ion source (Bruker, Billerica,
MA) to improve sensitivity. They reported that the DD–CNL–MS3 technique can be used to screen for DNA adducts derived from
different classes of carcinogens at levels of adduct modification
approaching 1 adduct per 108 unmodified DNA bases when
10 μg of DNA was employed. The data-dependent CNL–MS3 scan mode is a powerful postacquisition data-mining technique
for discovery and structural elucidation of DNA adducts.[71] The acquisition of the product ion spectrum
at the MS3 scan stage provides spectra with rich structural
information about the structure of the aglycone adduct, and multistage
MSn scanning is a major advancement over the CNL scanning
techniques, as shown in Figure 7.
Figure 7
Example of
a method used to screen for DNA adducts in human hepatocytes
using data-dependent constant neutral loss–triple stage mass
spectrometry performed on a linear quadrupole ion trap mass spectrometer.
(A) Chromatograms obtained upon analysis of an untreated sample. (B)
Chromatograms obtained upon analysis of a 4-ABP-treated sample; the
[M + H – 116]+ ion, within the top 10 most abundant
fragment ions in the MS/MS spectrum, triggers the acquisition of the
MS3 spectrum, providing structural information on the detected
DNA modifications. The full scan and MS/MS chromatograms are complex
and show many features; however, the chromatogram displaying the ions
that underwent a loss of 116 amu and the CNL-MS3 chromatogram
are greatly simplified. Adapted from ref (71). Copyright 2009 American
Chemical Society.
Example of
a method used to screen for DNA adducts in human hepatocytes
using data-dependent constant neutral loss–triple stage mass
spectrometry performed on a linear quadrupole ion trap mass spectrometer.
(A) Chromatograms obtained upon analysis of an untreated sample. (B)
Chromatograms obtained upon analysis of a 4-ABP-treated sample; the
[M + H – 116]+ ion, within the top 10 most abundant
fragment ions in the MS/MS spectrum, triggers the acquisition of the
MS3 spectrum, providing structural information on the detected
DNA modifications. The full scan and MS/MS chromatograms are complex
and show many features; however, the chromatogram displaying the ions
that underwent a loss of 116 amu and the CNL-MS3 chromatogram
are greatly simplified. Adapted from ref (71). Copyright 2009 American
Chemical Society.Berdal and co-workers
used a pseudo-CNL method to investigate damaged
deoxynucleosides present in a commercially available fungus-based
food, Quorn, and in button mushrooms and dried powdered brewer’s
yeast.[79] They used a triple quadrupole
instrument covering the mass range from m/z 240 to 406 amu with multiple injections (24) per sample
and with seven SRM transitions per injection. They reported 90 putative
DNA adducts.Singh, Farmer, and co-workers developed a targeted
adductomics approach for investigating in vitro the effects of
exposure to polycyclic aromatic hydrocarbons (PAHs) present in industrial
or urban air pollution, tobacco smoke, and cooked food.[78] They used CNL (mass range of m/z 500–650 amu) with a triple quadrupole
MS and online column switching along with software-based peak picking
and integration. For method development, PAH-modified DNA samples
were obtained by reaction of the antidihydrodiol epoxide metabolites
of benzo[a]pyrene, benzo[b]fluoranthene,
dibenzo[a,I]pyrene (DB[a,I]P), and dibenz[a,h]anthracene with calf thymus DNA.Sturla and co-workers investigated
the reaction of illudin S in
the presence of prostaglandin reductase 1/NAD(P)H with calf thymus
DNA using DD–CNL–MS3 with ion trap instrumentation.[76] The methodology used was adapted from the work
of Turesky and co-workers.[71] No novel unknown DNA adducts were observed, however the analysis allowed for the observation that illudin S-derived DNA adducts are characterized by the same mass fragments as acylfulvene-derived DNA adducts.
Alternative Approaches
Inagaki suggested an alternative
DNA adductomic approach whereby
the aglyconeguanine adducts can be identified by characteristic fragments
of m/z 152 and 135 corresponding
to protonated guanine and protonated [Gua + H–NH3]+, respectively.[87] They suggested
that a similar approach could be used for adenine adducts with characteristic
fragments of m/z 136 and 119 (protonated
adenine and protonated [Ade + H–NH3]+). They investigated the potential of this strategy by screening
for acrylamide adducts formed from the reaction of glycidamide with
dG and calf thymus DNA, and they report observing new DNA adducts
where two molecules of acrylamide were attached to guanine and adenine.
This method was done using precursor ion scanning and triple quadrupole
instrumentation. One benefit of this approach is that it employs simple
thermal or acid hydrolysis of DNA to release free nucleobases rather
than enzymatic hydrolysis to nucleosides. However, many adducts formed
at various sites of the guanine base do not undergo CID to produce
protonated guanine [Gua + H–NH3]+ at m/z 152 or [Gua + H–NH3]+ at m/z 135. In addition,
no discussion has been given to the detection of adducts of cytosine
and thymine.Giese and co-workers have developed a method for
nontargeted analysis
of modified nucleotides in DNA (and RNA) involving derivatization
of the nucleotides with isotopologue benzoylhistamines followed by
MALDI-TOF or MALDI-TOF/TOF analysis.[88] Adduct
identification is based on a combination of three features: phosphate-specificity
of the tagging, detection of adducts as pair of signals, and measurement
of a fragment that reveals whether a deoxyribose or ribose is present.
The derivatization allows for adduct identification upon observation
of a characteristic fragmentation pattern of the modified deoxyribose
upon either postsource decay in the case of MALDI-TOF analysis or
collision-induced dissociation with MALDI-TOF/TOF analysis. The derivatization
also improves the sensitivity of adduct detection and allows for semiquantitation
because of adduct signal responses that are comparable on a molar
basis to within a factor of 3. The TOF analysis also provides the
advantage of accurate mass analysis. The authors detected two known
adducts, 5-hydroxymethylcytosine and 5-formylcytosine (fC), and one
unknown adduct, 6-oxothymine, in a DNA sample from the human placenta
of a smoker. This methodology was also used to profile adducts formed in vitro upon reaction of p-benzoquinone
and DNA.[89]
Future
Directions/Conclusions
DNA adductomics is a relatively new
field, and with recent improvements
in sensitivity, liquid chromatography–mass spectrometry (LC–MS)
is primed to replace 32P-postlabeling as the preferred
approach for DNA adduct screening in humans because of its selectivity
and specificity and the structural information it provides. Rapidly
improving high-resolution/accurate-mass LC–MS hybrid orbital
trap and TOF instrumentation provides an extremely powerful platform
for DNA adductomic analysis, providing both accurate-mass measurements
for molecular formula determination and fragmentation information
for adduct structural identification utilizing data-dependent methodologies.
Castro-Perez et al. developed a CNL method utilizing Q-TOF technology
for screening glutathione conjugates of various drugs in human and
rat liver microsomes, illustrating the potential for the use of this
approach for DNA adductomic analysis. (90) Recently, a high-resolution/accurate-mass DD–CNL–MS3 methodology for DNA adductomics has been developed using
ion trap–orbital trap technology coupled with nano HPLC (300
nL/min).[91]A new generation of triple
quadrupole instrumentation has become
dramatically more sensitive and capable of rapid switching between
SRM transitions and faster scanning. Improvements in these capabilities
make both the CNL and pseudo-CNL methodologies dramatically more powerful
for the detection of low-level adducts, although the limitation of
nominal mass determination still exists as does the lack of fragmentation
beyond MS2. It is our experience that MS3 characterization of DNA adducts by linear quadrupole ion trap MS instrumentation provides high-quality spectra and
structural features about the aglycone adducts. Also, it requires
10- to 100-fold less analyte than that required for triple quadrupole
MS/MS scanning under elevated CAD conditions. Ion trap MS3 product ion spectra data can be acquired on DNA adducts in humans
at levels of DNA modification as low as 3 adducts per 109 DNA bases.[92,93]In addition, technological improvements, driven by the
needs of proteomic analysis, have made nanospray operation increasingly
routine. HPLC flow rates can relatively easily be reduced from the
100 to 500 μL/min employed in typical adductomics studies to
date to capillary or nano HPLC rates, providing a significant increase
in sensitivity because of the inverse relationship between electrospray
sensitivity and flow rate.Improvements in sample preparation
and cleanup are also needed,
especially when detection of hydrophilic adducts is considered. Data-dependent
approaches will greatly benefit from less chemical noise because the
ability to measure low-level adducts requires the instrument to dig
through the background signal to sample the low-level adduct signals
for MS2 analysis. Similarly, the CNL triple quadrupole
methodology will be capable of lower levels of limits of detection
with reduced background. Also, understanding the relative advantages
and limitations of the various enzyme DNA hydrolysis cocktail protocols
is critically important because of the potential difficulty in observing certain types of adducts resulting from incomplete
enzyme hydrolysis.The improvements in MS instrument performance
are expected to result
in the detection of many DNA adducts in humans. A bottleneck in DNA
adductomics is expected to be the characterization of unknown adducts
similar to that observed in metabolomics for characterization of unknown
metabolites, even with accurate-mass measurements, product ion spectra,
and available online metabolomics databases. A database of DNA adducts
would be immensely helpful in the advancement of the field of DNA
adductomics, but currently one does not exist in spite of the fact
that hundreds of DNA adducts have been characterized by MS methods.
The creation of a DNA adductomics database of accurate masses would
require a thorough literature search of the molecular formulas of
characterized DNA adducts and would be especially valuable for high-resolution/accurate-mass
approaches. A compilation of fragmentation spectra by both ion trap
and quadrupole-type fragmentation at the MS2 and MS3 levels at various collision energies would also be immensely
helpful.A potentially powerful new direction in DNA adduct
screening would
be targeted DNA adductomic analysis. One possible approach would be
to use high-resolution/accurate-mass instrumentation whereby a large
number of DNA adduct parent ion masses are put into a mass inclusion
list to be selected under high mass accuracy criteria for MSn fragmentation. Another approach would be to take advantage of the
rapid SRM switching capabilities (∼500/s) of the new generation
of triple quadrupole instruments using a large list of potential DNA
adducts to target for SRM detection. Both of these approaches will
provide greater coverage of potential adducts in complex DNA digest
mixtures by simultaneously targeting large numbers of suspected adducts
or known DNA adducts of a particular class of genotoxicants.
Authors: C A Bieler; M Stiborova; M Wiessler; J P Cosyns; C van Ypersele de Strihou; H H Schmeiser Journal: Carcinogenesis Date: 1997-05 Impact factor: 4.944
Authors: N Rothman; V K Bhatnagar; R B Hayes; T V Zenser; S K Kashyap; M A Butler; D A Bell; V Lakshmi; M Jaeger; R Kashyap; A Hirvonen; P A Schulte; M Dosemeci; F Hsu; D J Parikh; B B Davis; G Talaska Journal: Proc Natl Acad Sci U S A Date: 1996-05-14 Impact factor: 11.205
Authors: Andrea Carrà; Veronica Macaluso; Peter W Villalta; Riccardo Spezia; Silvia Balbo Journal: J Am Soc Mass Spectrom Date: 2019-11-06 Impact factor: 3.109