Part of Thermo Fisher Scientific Enabling Confident Analysis of Metabolism Data Thermo Scientific MetWorks Metabolite Identification Software mass spectrometry
Part of Thermo Fisher Scientific
Enabling Confident Analysis of Metabolism Data
Thermo Scientific MetWorksMetabolite Identification
Software
m a s s s p e c t r o m e t r y
MetWorks™ software automates and simplifies identification of Phase I and Phase II metabolites Automatically identify and generate ion chromatograms for all expected metabolites. Detect and identify unpredicted modifications with advanced data analysis tools:
• Analyze sample and controls and utilize MSn spectra, retentiontime, and m/z to target putative metabolites
• Refine metabolite identification using Mass Defect Filtering of high mass accuracy data
• Incorporate isotope pattern recognition of both natural and artificial isotopes
• Correlate MS/MS and MS3 spectra with those from theparent drug to identify common product ions and mass shifts related to neutral losses
Software for the Confident Analysis of Metabolism Data
Thermo Scientific MetWorks with Mass Frontier™ software provides a simple and complete solution for identifying drug metabolites.
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MetWorks Simplifies Data Visualization and Reporting
MetWorks data analysis complements the Data Dependent™ and Dynamic Exclusion™
capabilities of all Thermo Scientific ion trap mass spectrometers for simultaneous determination of metabolic stability and structural identification.
MetWorks provides capabilities forconfident analysis of metabolism data
• Detecting Known Modifications
• Detecting Unpredicted Modifications
• Multiple Mass Defect Filter
• Automatic Isotope Pattern Recognition
• Spectral Correlation
• Data-Dependent Parent Time List (DDPT)
• Confident Metabolite Identification
• Comprehensive Data Visualization and Reporting
MetWorks software is compatible with all Thermo Scientific mass spectrometers capable of performing MS/MS and MSn fragmentation. In addition, MetWorkssoftware allows high-resolution, accurate-mass data from Orbitrap™, LTQ FT™,
Q Exactive™ and Exactive™ instruments to be fully leveraged.
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Automatic Identificationof Expected Modifications
Choose from an extensive list of Phase I and II modifications
and create a custom list of single and combined expected
modifications for the parent drug of interest. During data
acquisition, the user has the option to specify a custom
MS/MS list to target metabolites. During data processing,
MetWorks software will automatically generate Extracted
Ion Chromatograms (EIC) for each expected metabolite.
Convenient reporting software displays full scan and product
ion mass spectra for each expected metabolite in order to
verify predicted biotransformations.
Expected Modifications ViewA custom list of expected modifications was used for the analysis of Loperamide data from the Thermo Scientific LTQ XL linear ion trap.Extracted ion chromatograms for unmetabolizedLoperamide (m/z 477.289) and its demethylated(m/z 463.379) and hydroxylated (m/z 493.297)metabolites are shown at the top of the figureabove. The full scan mass spectra (left) and product ion spectra (MS/MS, right) for demethylatedLoperamide are shown at the bottom of the figure.
Detecting Known Modifications
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Component SubtractionUsing Controls
Component subtraction can remove the effect of matrix or non-drug
related interferences from the sample data and uncover unpredicted
metabolites. A MetWorks algorithm compares components found
in Sample and Control using composite MSn data in addition to
full scan retention time (RT) and m/z values.
Using these criteria, Components in the
Sample and Control that are the same can
automatically be excluded from further
analysis, while components that are unique
to the sample are automatically highlighted
in green for easy visualization. These
components are potential drug metabolites.
If a Control data file is not available, another
option is to perform the background
subtraction using the solvent (not shown).
Simplify Identification ofUnknown Drug Metabolites
MetWorks software provides the flexibility to filter data in order to
identify low- and high-abundance peaks related to the parent drug.
These masses may arise from metabolites which were not initially
predicted or included in a targeted mass list. MetWorks software
provides a number of different software filters to help detect these
components so that automated MSn fragmentation can be
triggered and structural identification confirmed.Component Detection ViewHighlighting the components at RT 4.4 minutes in Sample(metabolized Loperamide) and Control (unmetabolizedLoperamide) total ion chromatograms (top two panels) links the components to their composite MSn spectra (bottom panel). Since the RT (4.4 minutes),m/z (437.30) and product ion spectra (MS/MS) of these two components are identical in both Sample and Control, they were automatically labeled in red in the chromatograms and can be excluded from further analysis. Componentsunique to the sample are labeled in green and are shown in the panel labeled Potential Modifications. Data was obtained using the LTQ XLTM linear ion trap.
Detecting Unpredicted Modifications
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Biotransformations cause predictable changes to the mass of
the parent drug. Mass defects arise since molecular masses
of metabolites are non-integer and deviate from nominal mass
values. This results in small changes of the mass defect between
the parent drug and its metabolites. The MetWorks Mass Defect
Filter takes advantage of the high mass accuracy data from the
Orbitrap-based and LTQ FT Ultra™ instruments and the known mass
defects for different biotransformations. After data acquisition, a
software filter removes ions with mass defects that are outside a
user-defined mass defect window based on all possible modifica-
tions of the parent drug. Consequently, this process automatically
removes a significant amount of background interference
originating from the matrix and unmasks low abundance
metabolite peaks. MetWorks software enables the use of
a combination of up to six Mass Defect Filters, such that
all the results are compiled into one chromatogram.
The effect of using single and multiple Mass DefectFilters on visualizing Oxime metabolites in rat hepatocytes. Unfiltered, single Phase I, single Phase IIand combined Phase I and Phase II filtered base peakchromatograms are shown. The parent drug Oxime ishighlighted. Data was obtained using the LTQOrbitrap™ hybrid mass spectrometer. Note: the y-axisintensity value is lower for Phase II MDF than the other chromatograms shown.
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Multiple Mass Defect Filter
Drug candidates which contain elements such as bromine and
chlorine have easily distinguishable isotope patterns which are not
common in endogenous metabolites found in body fluids. Drugs can
also be artificially labeled using stable isotopes including 13C, 2H,
and 15N. For metabolism studies, these unique isotope patterns can
act as intrinsic or extrinsic signatures that can be used to efficiently
detect drug metabolites. MetWorks software can filter full scan
mass spectra based on the changes in mass and relative abundance
of these isotopes and automatically display extracted ion
chromatograms representing these isotope patterns that
indicate potential metabolites.
The top panel shows the EIC for an unexpecteddemethylated hydroxylated Loperamide metabolite at m/z 479.209597 identified by isotope pattern recognition, which includes a rearrangement anda modification. The bottom panel shows full scanMS of the metabolite indicating a distinct chlorineisotope pattern with a mass difference of two(highlighted in red) that was automatically recognizedby MetWorks software and determined to bedesmethyl-hydroxyl Loperamide. Data was obtainedusing the LTQ Orbitrap hybrid mass spectrometer.
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Automatic Isotope Pattern Recognition
Spectral Correlations ViewChromatogram before (A) and after (B) spectral correlation indicates identification of an unpredicteddehydroxy rearrangement of Loperamide at RT of 4.04 minutes with m/z of 455.188. The MS3 spectra of (C)unmetabolized Loperamide (reference) and (D) therearranged dehydroxy metabolite are shown with common product ions highlighted in blue. Data wasobtained using the LTQ XL linear ion trap.
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Spectral Correlation
Spectral correlation analysis compares MS/MS or MS3 spectra
between the sample (metabolized drug) and a reference (typically
parent drug). The MetWorks correlation algorithm searches for
product ion spectral components that are the same in metabolized
and unmetabolized drugs (common product ions) or different through
a consistent mass shift that indicates a chemical modification such
as an adduct. The related parent ions are automatically highlighted
as metabolites of interest.
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Automatic Trigger of Targeted MS/MSon Parent and Predicted Metabolites
The DDPT feature in MetWorks software automatically generates a
data-dependent parent time list based on parent and expected mod-
ification list in the MetWorks method file (.mbx file). This list is used
by the instrument method on the fly for acquiring targeted MS/MS–
all from within MetWorks software. This unique feature is avail-
able in the Acquire section of MetWorks software, for acquisition
on ion trap and Orbitrap hybrid instruments.
Data-Dependent Parent Time List enables on-the-flytargeted MS/MS.
Data-Dependent Parent Time List (DDPT)
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Once putative metabolites are identified, the location of the functional
modification and the assignment of overall structure can be facilitated
using Mass Frontier software. Chemical Structures representing the
possible sites of modification can be created and fragmented in silico
using general mechanistic fragmentation rules and the extensive
Fragmentation Library™ that contains literature-based fragmentation
schemes. The fragment ions generated using this approach can be
directly compared to those acquired during LC-MSn analysis.
Mass spectral peaks can be automatically annotated with their
corresponding structures. Structural annotation of N-demethylated metabo-lite of Loperamide is shown. Once metabolitestructure is confirmed using Mass Frontier’s frag-mentation schemes, product ion structures canbe assigned to the mass spectral peaks.
Confident Metabolite Identification
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The MetWorks Report View can be customized to display the
Summary Report or the Standard MetReport. The Summary Report
reports all the expected metabolites found in one summary table.
The Standard MetReport compiles all potential metabolites you
selected from all results views into a single view. The Standard
MetReport view may include elemental formula, type of modifica-
tion, structure, retention time, m/z, associated chromatograms, a list
of the most intense fragment ions, spectral tree (MSn information),
and mass difference between parent and metabolite.
The Report View can be used to create reports in Adobe PDF,
Microsoft Word, and Microsoft Excel formats.
MetWorks Summary Report ViewThe summary report is a table that containsthe Peak ID, retention time (RT), putativemetabolite, mass shift, formula change, theo-retical and measured m/z, ppm, peak area,relative abundance and parent normalizationinformation.
Comprehensive Data Visualization and Reporting
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