This document discusses various bioanalytical techniques for metabolite identification and quantification. It describes drug metabolic pathways involving phase I and phase II reactions. Several in vitro models for drug metabolism evaluation are discussed, including human liver microsomes and hepatocytes. The key techniques covered are NMR, GC-MS, and LC-MS. NMR provides structural information but has low sensitivity, while GC-MS and LC-MS/MS are more sensitive and commonly used in metabolomics studies. Different modes of LC-MS/MS such as full scan, precursor ion scan, and multiple reaction monitoring are described for metabolite detection.
SEPARATION, BIOANALYTICAL TECHNIQUES, EXTRACTION, LC MS, LIQUID CHROMATOGRAPHY AND MASS SPECTROSCOPY, MBAT, M.PHARM, PHARMACEUTICAL ANALYSIS, 1 ST YEAR
SEPARATION, BIOANALYTICAL TECHNIQUES, EXTRACTION, LC MS, LIQUID CHROMATOGRAPHY AND MASS SPECTROSCOPY, MBAT, M.PHARM, PHARMACEUTICAL ANALYSIS, 1 ST YEAR
METABOLOMICS is the systematic study of the small molecular metabolites in a cell, tissue, biofluid, or cell culture media that are the tangible result of cellular processes or responses to an environmental stress.
Mass spectrometry is a powerful analytical technique used to quantify known materials, to identify unknown compounds within a sample, and to elucidate the structure and chemical properties of different molecules. The complete process involves the conversion of the sample into gaseous ions, with or without fragmentation, which are then characterized by their mass to charge ratios (m/z) and relative abundances.
This technique basically studies the effect of ionizing energy on molecules. It depends upon chemical reactions in the gas phase in which sample molecules are consumed during the formation of ionic and neutral species.
Metabolomics-Introduction, metabolism, intermediary metabolism, metabolic pathways, metabolites, metabolome, metabolic turnover, techniques used in metabolomics, metabolite profiling methods, data analysis, metabolomic resources, role of metabolomics in system biology.
MASS SPECTROMETRY IN THE FIELD OF FOOD INDUSTRYErin Davis
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Molecular weight determination and Characterization of Enzymes Ayushisomvanshi1
This presentation shows about how the determination of molecular weight is done and what are the different ways or method to determine the molecular weight. This presentation also tells about the enzymes and its characterization.
METABOLOMICS is the systematic study of the small molecular metabolites in a cell, tissue, biofluid, or cell culture media that are the tangible result of cellular processes or responses to an environmental stress.
Mass spectrometry is a powerful analytical technique used to quantify known materials, to identify unknown compounds within a sample, and to elucidate the structure and chemical properties of different molecules. The complete process involves the conversion of the sample into gaseous ions, with or without fragmentation, which are then characterized by their mass to charge ratios (m/z) and relative abundances.
This technique basically studies the effect of ionizing energy on molecules. It depends upon chemical reactions in the gas phase in which sample molecules are consumed during the formation of ionic and neutral species.
Metabolomics-Introduction, metabolism, intermediary metabolism, metabolic pathways, metabolites, metabolome, metabolic turnover, techniques used in metabolomics, metabolite profiling methods, data analysis, metabolomic resources, role of metabolomics in system biology.
MASS SPECTROMETRY IN THE FIELD OF FOOD INDUSTRYErin Davis
This is a powerpoint presentation solely to give a brief idea about the role of Mass Spectrometry (MS) which is one of the powerful analytical technique.This presentation describes the role of Mass Spectrometry in the field of food industry.These slides deals with the basic principle,working,components,detailed analysis etc.
Molecular weight determination and Characterization of Enzymes Ayushisomvanshi1
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Lung Cancer: Artificial Intelligence, Synergetics, Complex System Analysis, S...Oleg Kshivets
RESULTS: Overall life span (LS) was 2252.1±1742.5 days and cumulative 5-year survival (5YS) reached 73.2%, 10 years – 64.8%, 20 years – 42.5%. 513 LCP lived more than 5 years (LS=3124.6±1525.6 days), 148 LCP – more than 10 years (LS=5054.4±1504.1 days).199 LCP died because of LC (LS=562.7±374.5 days). 5YS of LCP after bi/lobectomies was significantly superior in comparison with LCP after pneumonectomies (78.1% vs.63.7%, P=0.00001 by log-rank test). AT significantly improved 5YS (66.3% vs. 34.8%) (P=0.00000 by log-rank test) only for LCP with N1-2. Cox modeling displayed that 5YS of LCP significantly depended on: phase transition (PT) early-invasive LC in terms of synergetics, PT N0—N12, cell ratio factors (ratio between cancer cells- CC and blood cells subpopulations), G1-3, histology, glucose, AT, blood cell circuit, prothrombin index, heparin tolerance, recalcification time (P=0.000-0.038). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and PT early-invasive LC (rank=1), PT N0—N12 (rank=2), thrombocytes/CC (3), erythrocytes/CC (4), eosinophils/CC (5), healthy cells/CC (6), lymphocytes/CC (7), segmented neutrophils/CC (8), stick neutrophils/CC (9), monocytes/CC (10); leucocytes/CC (11). Correct prediction of 5YS was 100% by neural networks computing (area under ROC curve=1.0; error=0.0).
CONCLUSIONS: 5YS of LCP after radical procedures significantly depended on: 1) PT early-invasive cancer; 2) PT N0--N12; 3) cell ratio factors; 4) blood cell circuit; 5) biochemical factors; 6) hemostasis system; 7) AT; 8) LC characteristics; 9) LC cell dynamics; 10) surgery type: lobectomy/pneumonectomy; 11) anthropometric data. Optimal diagnosis and treatment strategies for LC are: 1) screening and early detection of LC; 2) availability of experienced thoracic surgeons because of complexity of radical procedures; 3) aggressive en block surgery and adequate lymph node dissection for completeness; 4) precise prediction; 5) adjuvant chemoimmunoradiotherapy for LCP with unfavorable prognosis.
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Ve...kevinkariuki227
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Verified Chapters 1 - 19, Complete Newest Version.pdf
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Verified Chapters 1 - 19, Complete Newest Version.pdf
These lecture slides, by Dr Sidra Arshad, offer a quick overview of physiological basis of a normal electrocardiogram.
Learning objectives:
1. Define an electrocardiogram (ECG) and electrocardiography
2. Describe how dipoles generated by the heart produce the waveforms of the ECG
3. Describe the components of a normal electrocardiogram of a typical bipolar leads (limb II)
4. Differentiate between intervals and segments
5. Enlist some common indications for obtaining an ECG
Study Resources:
1. Chapter 11, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 9, Human Physiology - From Cells to Systems, Lauralee Sherwood, 9th edition
3. Chapter 29, Ganong’s Review of Medical Physiology, 26th edition
4. Electrocardiogram, StatPearls - https://www.ncbi.nlm.nih.gov/books/NBK549803/
5. ECG in Medical Practice by ABM Abdullah, 4th edition
6. ECG Basics, http://www.nataliescasebook.com/tag/e-c-g-basics
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Disruption of blood supply to lung alveoli due to blockage of one or more pulmonary blood vessels is called as Pulmonary thromboembolism. In this presentation we will discuss its causes, types and its management in depth.
Title: Sense of Smell
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the primary categories of smells and the concept of odor blindness.
Explain the structure and location of the olfactory membrane and mucosa, including the types and roles of cells involved in olfaction.
Describe the pathway and mechanisms of olfactory signal transmission from the olfactory receptors to the brain.
Illustrate the biochemical cascade triggered by odorant binding to olfactory receptors, including the role of G-proteins and second messengers in generating an action potential.
Identify different types of olfactory disorders such as anosmia, hyposmia, hyperosmia, and dysosmia, including their potential causes.
Key Topics:
Olfactory Genes:
3% of the human genome accounts for olfactory genes.
400 genes for odorant receptors.
Olfactory Membrane:
Located in the superior part of the nasal cavity.
Medially: Folds downward along the superior septum.
Laterally: Folds over the superior turbinate and upper surface of the middle turbinate.
Total surface area: 5-10 square centimeters.
Olfactory Mucosa:
Olfactory Cells: Bipolar nerve cells derived from the CNS (100 million), with 4-25 olfactory cilia per cell.
Sustentacular Cells: Produce mucus and maintain ionic and molecular environment.
Basal Cells: Replace worn-out olfactory cells with an average lifespan of 1-2 months.
Bowman’s Gland: Secretes mucus.
Stimulation of Olfactory Cells:
Odorant dissolves in mucus and attaches to receptors on olfactory cilia.
Involves a cascade effect through G-proteins and second messengers, leading to depolarization and action potential generation in the olfactory nerve.
Quality of a Good Odorant:
Small (3-20 Carbon atoms), volatile, water-soluble, and lipid-soluble.
Facilitated by odorant-binding proteins in mucus.
Membrane Potential and Action Potential:
Resting membrane potential: -55mV.
Action potential frequency in the olfactory nerve increases with odorant strength.
Adaptation Towards the Sense of Smell:
Rapid adaptation within the first second, with further slow adaptation.
Psychological adaptation greater than receptor adaptation, involving feedback inhibition from the central nervous system.
Primary Sensations of Smell:
Camphoraceous, Musky, Floral, Pepperminty, Ethereal, Pungent, Putrid.
Odor Detection Threshold:
Examples: Hydrogen sulfide (0.0005 ppm), Methyl-mercaptan (0.002 ppm).
Some toxic substances are odorless at lethal concentrations.
Characteristics of Smell:
Odor blindness for single substances due to lack of appropriate receptor protein.
Behavioral and emotional influences of smell.
Transmission of Olfactory Signals:
From olfactory cells to glomeruli in the olfactory bulb, involving lateral inhibition.
Primitive, less old, and new olfactory systems with different path
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Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. It encompasses tasks such as learning, reasoning, problem-solving, perception, and language understanding. AI technologies are revolutionizing various fields, from healthcare to finance, by enabling machines to perform tasks that typically require human intelligence.
Ethanol (CH3CH2OH), or beverage alcohol, is a two-carbon alcohol
that is rapidly distributed in the body and brain. Ethanol alters many
neurochemical systems and has rewarding and addictive properties. It
is the oldest recreational drug and likely contributes to more morbidity,
mortality, and public health costs than all illicit drugs combined. The
5th edition of the Diagnostic and Statistical Manual of Mental Disorders
(DSM-5) integrates alcohol abuse and alcohol dependence into a single
disorder called alcohol use disorder (AUD), with mild, moderate,
and severe subclassifications (American Psychiatric Association, 2013).
In the DSM-5, all types of substance abuse and dependence have been
combined into a single substance use disorder (SUD) on a continuum
from mild to severe. A diagnosis of AUD requires that at least two of
the 11 DSM-5 behaviors be present within a 12-month period (mild
AUD: 2–3 criteria; moderate AUD: 4–5 criteria; severe AUD: 6–11 criteria).
The four main behavioral effects of AUD are impaired control over
drinking, negative social consequences, risky use, and altered physiological
effects (tolerance, withdrawal). This chapter presents an overview
of the prevalence and harmful consequences of AUD in the U.S.,
the systemic nature of the disease, neurocircuitry and stages of AUD,
comorbidities, fetal alcohol spectrum disorders, genetic risk factors, and
pharmacotherapies for AUD.
micro teaching on communication m.sc nursing.pdfAnurag Sharma
Microteaching is a unique model of practice teaching. It is a viable instrument for the. desired change in the teaching behavior or the behavior potential which, in specified types of real. classroom situations, tends to facilitate the achievement of specified types of objectives.
Anti ulcer drugs and their Advance pharmacology ||
Anti-ulcer drugs are medications used to prevent and treat ulcers in the stomach and upper part of the small intestine (duodenal ulcers). These ulcers are often caused by an imbalance between stomach acid and the mucosal lining, which protects the stomach lining.
||Scope: Overview of various classes of anti-ulcer drugs, their mechanisms of action, indications, side effects, and clinical considerations.
Title: Sense of Taste
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the structure and function of taste buds.
Describe the relationship between the taste threshold and taste index of common substances.
Explain the chemical basis and signal transduction of taste perception for each type of primary taste sensation.
Recognize different abnormalities of taste perception and their causes.
Key Topics:
Significance of Taste Sensation:
Differentiation between pleasant and harmful food
Influence on behavior
Selection of food based on metabolic needs
Receptors of Taste:
Taste buds on the tongue
Influence of sense of smell, texture of food, and pain stimulation (e.g., by pepper)
Primary and Secondary Taste Sensations:
Primary taste sensations: Sweet, Sour, Salty, Bitter, Umami
Chemical basis and signal transduction mechanisms for each taste
Taste Threshold and Index:
Taste threshold values for Sweet (sucrose), Salty (NaCl), Sour (HCl), and Bitter (Quinine)
Taste index relationship: Inversely proportional to taste threshold
Taste Blindness:
Inability to taste certain substances, particularly thiourea compounds
Example: Phenylthiocarbamide
Structure and Function of Taste Buds:
Composition: Epithelial cells, Sustentacular/Supporting cells, Taste cells, Basal cells
Features: Taste pores, Taste hairs/microvilli, and Taste nerve fibers
Location of Taste Buds:
Found in papillae of the tongue (Fungiform, Circumvallate, Foliate)
Also present on the palate, tonsillar pillars, epiglottis, and proximal esophagus
Mechanism of Taste Stimulation:
Interaction of taste substances with receptors on microvilli
Signal transduction pathways for Umami, Sweet, Bitter, Sour, and Salty tastes
Taste Sensitivity and Adaptation:
Decrease in sensitivity with age
Rapid adaptation of taste sensation
Role of Saliva in Taste:
Dissolution of tastants to reach receptors
Washing away the stimulus
Taste Preferences and Aversions:
Mechanisms behind taste preference and aversion
Influence of receptors and neural pathways
Impact of Sensory Nerve Damage:
Degeneration of taste buds if the sensory nerve fiber is cut
Abnormalities of Taste Detection:
Conditions: Ageusia, Hypogeusia, Dysgeusia (parageusia)
Causes: Nerve damage, neurological disorders, infections, poor oral hygiene, adverse drug effects, deficiencies, aging, tobacco use, altered neurotransmitter levels
Neurotransmitters and Taste Threshold:
Effects of serotonin (5-HT) and norepinephrine (NE) on taste sensitivity
Supertasters:
25% of the population with heightened sensitivity to taste, especially bitterness
Increased number of fungiform papillae
2. Drug metabolism involves a series of
biological and chemical processes through
which endogenous substances are converted
into more water-soluble substituents resultantly
excreted out from the body.
Drug metabolic pathways accomplished by
phase I and phase II biotransformation
reactions.
Drug Metabolism
3. • Phase I reactions comprise oxidation,
reduction, and hydrolysis.
• Phase II biotransformation reactions also
called conjugation reaction includes
glucuronidation, acetylation and sulfation
reaction.
4. Models for drug metabolism
evaluation
Various in vitro models are developed for the
drug metabolomics analysis, some of them are
described below.
6. Approaches for metabolite quantification
Quantification of the metabolite is essential in
such circumstances when metabolite
concentration just reaches or crosses the limit of
plasma drug concentration or when the drug
metabolites are either pharmacologically active
or toxic.
7. 1. Direct quantification
• Drug metabolites are much more hydrophilic as
compared to the parent drug, especially in case
of glucuronides.
• for precise and definitive quantification
of biological samples, appropriate authentic
standards are required.
• Chemical synthesis is generally appropriate
for making phase I metabolites, including
O-demethylation, N-oxidation, N-
demethylation, carbonyl reduction and
others.
8. 2. Indirect quantification
• This technique has been employed for estimation of
phase II metabolites especially glucuronide
metabolites. These metabolites are detected by
splitting the conjugates to produce original drug,
which is then detected.
• In the case of morphine which is metabolized into two
metabolite isomers, including morphine-3-glucuronide
and morphine-6-glucuronide, former is an inactive
metabolite while later possess more pharmacological
activity even more than the parent drug.
• NMR based metabolomics mostly used for the indirect
quantification of drug metabolites.
9. 3. Qualitative evaluation
• Mostly every type of mass spectrometer can be
employed for the determination and recognition of
glucuronide metabolites. However, those with
tandem or high-resolution MS capacities are
preferred.
• For the detection and validation of metabolites,
LC/QTOF or LC/TOF instruments with tandem MS
are commonly used. Currently, the use of Fourier
Transform Ion Cyclotron Resonance Mass
Spectrometer (FTICR / MS) and Ion Trap-Orbitrap
(LTQ-Orbitrap) become more preferable tools in the
metabolomics analysis as these have more
compatibility with multiple LC methods.
10. Bioanalytic techniques for metabolites
identification
• For the analysis of hundreds of metabolites, several
analytical techniques are used.
• But none of the bioanalytical technique can fully
analyze all metabolites in the sample due to their
physicochemical diversity, including amino and non-
amino organic acids, volatile ketones, alcohols, lipids,
and carbohydrates, etc.
• Hence, different analytical techniques are used in
combination with each other to fully measure the
whole metabolomics.
12. 1. NMR based metabolite
identification and quantification
• NMR coupled with MS provides optimum outcomes,
but this technique is not commonly used because of
its high cost.
• For the structural elucidation of organic compounds,
NMR spectroscopy is frequently used.
• H1 NMR is a more useful and sensitive technique for
the metabolites analytical study than C-NMR
spectroscopy.
• The working principle behind NMR spectroscopy is
the nuclei spinning of the atom, as metabolic
components are made up of atoms and each atom has
its nuclei.
13. H1 NMR spectrum provide following pieces of
information about the metabolites:
• The number of signals reflects the number of
magnetically and chemically different protons. Such as
the methanol molecule is comprised of methyl and
hydroxyl (two sets of) protons, therefore in H1 NMR
spectrum produce two signals.
• The area under the NMR peak refers to the intensity,
which can be measured through the integrator.
• The relative position of NMR signals which is also
known as the chemical shift, determined by special
arrangement of adjacent electrons and atoms.
• The splitting of NMR signals determines the coupling
constants.
14. • The first step in NMR spectroscopy working is the
sample preparation. Biological fluids including
plasma require sample preparation for NMR but
some biological fluids such as cerebrospinal fluids
need no sample preparation.
• Tagging is the second step. Hydrogen atom attached
to N-15 is used as an active label.
• The last step is quantification; a reference sample of
known concentration must be added to determine the
absolute concentration.
Principle
15. • One dimensional H1 NMR spectroscopy is a fast, reliable, and
reproducible technique.
• 1D H1 NMR spectroscopy can identify and quantify 50-100
metabolites at a time.
• Moreover, 2D H1 NMR spectroscopy as compared to 1D H1 NMR
can identify and quantify more metabolites.
• 13C NMR has advantageous resolution results than H1 NMR but
due to the low natural abundance of 13C (∼1.1%) has less
sensitivity towards the 13C nucleus, which significantly reduced
13C NMR applications in metabolomics.
• 15N NMR spectroscopy has wide applications in the
structure elucidation and identification of DNA, RNA and proteins
but owing to the low natural abundance of 15N (0.37%), not
readily used in metabolomics studies. 31P nucleus has about 100
% relative abundance and a hundred times more sensitivity than
H1 NMR spectroscopy.
16. • Liquid chromatography combined with the
NMR spectroscopy (LCNMR) can be used
for simplifying the biofluids' complexity
such as urine and fecal water extracts, that
are not detected and quantified via 1D or 2D
NMR.
• Similarly, LC-NMR-MS is used for the
structural elucidation and detection of novel
metabolites
17. • Fluoxetine drug metabolized to norfluoxetine via
dealkylation reaction, to ensure the drug metabolism
NMR spectroscopy can be used for detection or
quantification of the drug metabolites without further
confirmation tests.
• Irbesartan drug after metabolic reaction converts into
hydroxyl irbesartan, which can be confirmed by NMR
spectroscopy.
• Metabolism of pyragallol drug which is metabolized
via sulfation reaction and converted into the
dihydroxyphenyl-2-O-sulfate metabolite.
• For the metabolism of the benzoic acid, an amino acid
conjugation reaction takes place and transformed the
drug into hippuric acid, this metabolic process can be
confirmed via NMR.
18. 2. GC-MS based metabolite identification
and quantification
• In GC-MS the mass spectrometer is coupled with
the gas chromatography. GC with great
resolution separated the volatile compounds but
cannot appropriately identify them. In MS, ions
moved through the vacuum, and by their mass to
charge ratio ionized atoms or molecules are
separated.
• GC-MS spectroscopy are preferable for detection and
quantification of the small molecular weight
metabolites (<650 daltons) such as small acids,
hydroxyl acids, alcohols, sugars, amino acids, fatty
acids, hormones, sterols, drugs, toxins, catecholamine,
aromatic and several intermediate products of primary
19. • In all GC–MS based metabolomics studies, capillary
columns are used because of their great efficiency.
• GC-MS efficiency, selectivity and analysis time
increase directly with the length of the column.
• Longer columns are used for complex samples and
require more time for analyses vice versa.
• In untargeted GC–MS based metabolomics studies,
generally 30 m columns and non-polar stationary
phases (5% phenylarylene 95% dimethyl polysiloxane
or 5% diphenyl 95% dimethylpolysiloxane) are used.
20. • Assche et al. used GC–MS/MS in scan mode for the
investigation of metabolomics profiles of transgenic
Caenorhabditis elegans and have identified a total of
76 unique metabolites and 8 out of them were
considerably different.
• In 2016, Karimpour et al. have studied the postprandial
effect on human plasma metabolome by using the GC–
TOF–MS technique and identified 200 unique mass
features in the sample.
• Lu et.al identified 2482 mass features in human serum
by using the GC–qTOF–MS.
21. 3. LC-MS/MS-based metabolite identification
and quantification
• LC coupled with MS is composed of three main parts, including
the ion source which converts molecules into ions, the mass
analyzer which separates these ions on bases of m/z ratio and
passed them towards detector and the final element of LC/MS is
the detector which detects or identifies the separated components.
• Hypothetical spectra of unknown ions can be predicted through
in silico splitting techniques. For the estimation of given
molecule’s fragment ions, two main methods are employed. First
is the rule-based predictor which can be applied to the
fragmentation mechanisms obtained from the literature. The
second one is the in silico fragmentation such as Fragment
Identification
22. • Computational techniques can provide great help in
the identification of metabolites thus they are not
much efficient to replace the experimental validation
process employed for the identification of these
metabolites.
• For nonpolar and weakly polar compounds, reverse
phase liquid chromatography with C18 columns is
used which provides high resolution. For the
separation of polar, ionic and hydrophilic molecules,
normal phase (NP) liquid chromatography can be
used.
23. Hydrophilic interaction liquid
chromatography (HILIC) is a novel mode of
separation having high compatibility with
mass spectrometer and improved resolution
for the detection of polar analytes. HILIC
combines the mobile phase used in reverse
phase separation and the stationary phase used
on NP mode.
24. Drug
Metabolic
enzyme
Metabolites Biofluid
Analytical
method
Omeprazole CYP2C19
S-
hydroxyomeprazole
and
omeprazole sulfone
plasma LC–MS/MS
Amodiaquine CYP2C8
N-
desethylamodiaquine
Plasma
and urine
HILIC–
MS/MS
Buspirone CYP3A4
1-[2-pyrimidyl]-
piperazine
plasma LC–MS/MS
Tolbutamide CYP2C9
5-
hydroxysulfadiazine
Plasma
and urine
LC–MS/MS
Caffeine CYP1A2 Paraxanthine
Plasma
and urine
LC–MS/MS
Clarithromycin
CYP3A4 and
ABCB1
14-
hydroxyclarithromyci
n
plasma LC–MS–MS
Tolbutamide
Dehydrogen
ase
Carboxytolbutamide
Plasma
and urine
LC–MS/MS
Debrisoquine CYP2D6
4-
hydroxydebrisoquine
Plasma
and urine
LC–MS/MS
Midazolam CYP3A 1-hydroxymidazolam
Plasma
and urine
LC–MS/MS
25. 4. Other suitable approaches for metabolite
identification
LC-MS instrumentation is critical for both screening,
investigation, and structural interpretation. However, the
non-MS approaches can also play a crucial role in such
situations where just the MS data is not satisfactory.
1. Full scan
Full mass scan technique permits the identification of
almost all ionizable metabolites and provides
comprehensive details regarding the molecular mass of
drug metabolites because of its nonselective nature.
Triple quadrupole mass analyzers have been used
which drastically reduces the sensitivity. This problem
may resolve by employing IT analyzers.
26. 2. Precursor ion and constant neutral loss
scan
The precursor ion and constant neutral loss scan mode are
only used for tandem mass spectrometers and employed for
the determination and identification of unknown drug
metabolites.
Numerous metabolites of phase II during the atomization,
have loosed a definite group that can be used for precise
scanning and isolation of these conjugates.
3. Multiple reaction monitoring
The multiple reaction monitoring mode has more selectivity
for the detection of the metabolite. In this approach, only a
specific precursor ion or metabolite has allowed to pass
through the first quadrupole which afterward has split in the
collision cell and then the product ion separated from the
second quadrupole.
27. 4. Single ion monitoring
To surpass the low sensitivity problem of triple quadrupole
mass spectrometer, the alternative is single ion monitoring.
This offer low specificity and sensitivity as against multiple
reaction monitoring, but it has been provided many
advantages when the exact pattern of the analytes is not
accurately forecasted.
5. Hydrogen/deuterium exchange LC-MS
Hydrogen/deuterium exchange LC-MS can be employed to
obtain information related to drug metabolic pathways, MS
fragment product ion formation and for studying and
differentiation of the structures of the isomeric metabolites.
28. 6. High resolution mass spectrometry
For the identification and determination of metabolites, the
more accurate analyzer in mass prediction is TOF
instrument. It has been declared that by using the accurate
mass TOF, various drugs can be detected 5-25 times better
as compared to nominal mass TOF.
7. Product ion scan
Product scan mode is employed for the structural
determination and elucidation of scanned drug metabolites.
In this mode, in the first quadrupole, a metabolite has been
chosen which split in the collision cell and then the product
ions are examined in the second quadrupole.
To acquire more particular structural data, the multistage
scan by utilizing ion trap instruments can be employed.
29. 8. Ion mobility time-of-flight mass spectrometry
The Ion mobility time-of-flight mass spectrometry is suitable
for segregating ions based on their mass-to-charge ratios. The
major benefit of this technique is its ability to segregate the
metabolite isomers which makes it a stronger bioanalytical
technique for the analysis of complicated samples.
9. Chemical agents for metabolite identification
Particular chemical entities are capable to interact with few
kinds of the metabolites as a result of respective signal
frequencies are altered in both MS and NMR spectra. This
feature has been frequently employed for the determination
and detection of metabolites. In this approach, two 15N
labeled agents, one is aminooxy probe and the second one is
cholamine tag is used. These labels have high specificity and
can covalently bound with metabolites having carbonyl and
carboxyl groups correspondingly. This procedure permits
direct visibility of the metabolite’s signals in 2D 15N-1H-
HSQC-NMR spectra and mass spectra.
30. Conclusion
• Various enzymes catalyze the biotransformation of drugs and are
mainly classified into four categories based on the reactions
catalyzed by these enzymes. Targeted and untargeted
metabolomics strategies are used for the identification, detection,
and quantification of endogenous and exogenous metabolites.
• Metabolite quantification is very crucial when drug metabolite is
toxic or pharmacologically active.
• Mainly three bioanalytical techniques have been used in
metabolomics analysis, including NMR, GC-MS and LC/MS/MS.
• Currently, LC-MS based metabolomics analysis has been
frequently used because of the several advantages over the other
two techniques.
• LC/MS/MS computational framework for the untargeted
metabolomics, significantly helpful in the identification of known
and unknown metabolites.