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Ординатура / Хирургия / Библиотека им академика М.И. Перельмана / Книга_5397_Библиотеки_им_академика_М_И_Перельмана

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Abbreviations
APIs Active pharmaceutical ingredients AQbD Analytical quality by design CE Capillary electrophoresis CMPs Conjugated microporous polymers ELISA Enzyme-linked immunosorbent assay GC Gas chromatography HPLC High-performance liquid chromatography MOFs Metal-organic frameworks MS Mass spectrometry PAT Process analytical technology PCR Polymerase chain reaction QbD Quality by design QC Quality control TLC Thin-layer chromatography WB Western blotting
4.1 Introduction
M. Aslam et al.
Pharmaceutical chemical analysis is an essential area of study since medications have a signicant impact on the well-being of people and animals. The pharmaceu­tical sector, biomedical research facilities, hospitals, and other industries have a signicant demand for dependable, accurate, precise, and delicate analytical proce­dures. Analytical procedures are commonly used in the production of novel pharma­ceuticals, degradation products, contaminants, biomarker determination, pharmacokinetic investigations, and diagnosis or analysis of therapeutic drugs in biological samples, among other things (Fanali et al. 2023; Klatte et al. 2017). Several analytical methods, which include supercritical uid chromatography (SFC) (Gros etal. 2023; Cobo-Golpe etal. 2022), gas chromatography, high-performance liquid chromatography (HPLC) (Lo Faro etal. 2023; Lin etal. 2021; Zou et al.
2023; Aspromonte et al. 2019), and microuidic techniques such as nano-liquid
chromatography (nano-LC) (D’Orazio etal. 2019), capillary electrophoresis (CE) (Woźniakiewicz and Wietecha-Posłuszny 2023; Krait et al. 2021), and capillary electrochromatography (CEC) (Fanali etal. 2021; Chankvetadze etal. 2003), are now utilized in pharmaceutical companies and healthcare analysis. Bioanalysis is employed in the pharmaceutical sector throughout the initial phases of the discovery and development of drugs to give evidence to determine the metabolic and pharma­cokinetic destiny of drug prospects. Bioanalysis is still employed in the preclinical and clinical stages of discovering drugs, and in certain circumstances, clinical thera­peutic drug evaluation (Pandey etal. 2010). Parallel to this, the issue of pharmaceu­tical contamination has grown in prominence previously in the past. There are
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serious threats to human health and the ecosystem when there is persistent contami­nation from medicines in the water, food, and land in certain parts of the world (Patel etal. 2019; Rehman etal. 2015). The preliminary treatment of samples before analytical analysis is critical in the study of dietary, ecological, biological, and medicinal substances. Effective separation and accurate detection of complex and trace materials can be achieved using sample pretreatment methods (Wen et al.
2014). A number of substances exhibit excellent properties and potential use in
separating and analysis of various pharmaceutical samples. Due to their functional diversity and porous structure, researchers have developed an interest in organic molecule-based framework porous materials. Different types of porous organic frameworks were documented, including conjugated microporous polymers (CMPs), covalent organic frameworks (COFs), hyper-crosslinked polymers (HCPs), metal organic frameworks (MOFs), and covalent triazine frameworks (CTFs) (Zhang etal. 2018). Because of its label-free and real-time detecting process, ease of use, and excellent detection, plasmonic-based nanosensors are among the most powerful tools for detecting and quantifying low amounts of molecular analytes. Plasmonic sensors are also useful for detecting a variety of other applications, including biosensors, environmental monitoring, medicines, and food control (Yesudasu etal. 2021; Tseng etal. 2017; Dissanayake etal. 2019; Muneer etal.
2020; Mauriz 2020).
For quantitative researchers, identifying and determining drugs, pollutants, com­pounds, and biomarkers in various matrices has become a challenging undertaking. Therefore, developing analytical tools to evaluate drugs, their derivatives, and bio­markers in biological samples is always necessary.
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4.2 Importance ofBiotechnology inPharmaceutical
Product Analysis
Biotechnology is critical in pharmaceutical product analysis, contributing to prod­uct safety, efcacy, and quality control of drugs. Here are some key reasons why biotechnology is relevant in this context.
4.2.1 Analytical Techniques
Biotechnology allows researchers access to cutting-edge analytical tools like genomics, proteomics, and metabolomics, which allow them to thoroughly study drug compounds at the molecular level. Pharmaceutical research has traditionally had an important role in the advancement of pharmaceutical development, directed by pharmacological and clinical research and supported by the eld of chemistry. Active pharmaceutical ingredients (APIs) production and characterization, along
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with their evaluation to obtain provisional precautions and therapeutic efcacy information, must be carried out before drug candidates can be identied for further comprehensive research (Siddiqui 2017; Anon n.d.-a). Within the sector of pharma­ceutical research, the analytical evaluation of large quantities of drug items, inter­mediary substances, medications, formulations of drugs, contaminants and compounds from degradation, and biological specimens comprising pharmaceuti­cals and metabolites of them is essential.
Titrimetric methods are being shown to be useful in kinetic evaluations, which can be then utilized for determining rates of reaction through the development of functional group evaluation procedures (Rahman et al. 2005; Basavaiah and Prameela 2003). Titrimetry was formerly used to estimate pharmacological product breakdown as well as drug concentrations (Matei etal. 2008). Different analytical techniques, including titrimetric, chromatographic, spectroscopic, and electrochem­ical techniques, are commonly employed to determine the quality and quantity of the drug product as well as the materials utilized during its synthesis (Beccaria and Cabooter 2020). Three main groups comprise the several techniques used to assess antioxidant capacity: spectrometry, electrochemical tests, and chromatography (Munteanu and Apetrei 2021).
M. Aslam et al.
4.2.2 Quality Control
Biotechnology is instrumental in establishing rigorous quality control standards for pharmaceutical products. Quality control (QC) measures are essential in a pharma­ceutical manufacturing control plan to ensure product quality (Deidda etal. 2018). Companies submit QC procedures to regulatory agencies in each country where a pharmaceutical item is supplied to assist in market licencing procedures (Åsberg etal. 2016). The quality by testing concept, commonly known as trial-and-error, is a conventional strategy for developing analytical methods. Such a technique surely does not facilitate additional modications that may be required due to a lack of understanding of the possible effect on method performance (Rozet etal. 2013). Capillary or chip-based electrophoretic techniques used for separation have essen­tially superseded traditional slab-gel SDS-PAGE methods utilized for biological impurity and purity testing. In QC labs, image capillary isoelectric focusing tech­niques have mostly superseded gel IEF techniques (Rogers etal. 2018). The quality data of TCM preparations is restricted by the capabilities of current quality trace­ability technology, making them unsuitable for use in production or sales. One of the key methods for quality assurance and evaluation of herbal medicines is the use of chemical ngerprints, sometimes referred to as chemical markers (Liu et al.
2018). The denitions of Analytical Quality by Design (AQbD) and Quality by
Design (QbD) are comparable when it comes to manufacturing processes. As a result, AQbD also consists of four primary phases: (a) calculating the necessary analytical method performances (ATP), (b) identifying pertinent procedure param­eters and quality standards (the screening stage), (c) dening the analytical DS (the
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Fig. 4.1 Comparison of Quality by Testing (QbT) approach (Left) and Quality by Design (QbD) approach (Right) (Dispas etal. 2018)
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robust optimization) allows for method optimization and risk assessment, (d) appli­cation of a control technique to ensure the method is improved continuously (Fig.4.1) (Dispas etal. 2018).
In addition to the digital revolution, modelling approaches for process under­standing, prediction, and consistency have received more attention as a result of the FDA and EMA’s support of Quality by Design (QbD) and Process Analytical Technology (PAT) concepts. As a result, these paradigms allowed for a big deal of exibility for selection and use cases of the quantitative methodologies (Narayanan etal. 2020). The most effective method for quality control in routine procedures as well as research projects is metabolomics. To track the metabolites present, untar­geted metabolomic ngerprint can be utilized and statistical control charts can be generated by multivariate statistical analysis to conrm that the composition is maintained throughout the production process (Mattoli etal. 2023).
4.2.3 Pharmacokinetics andPharmacodynamics
Biotechnology aids in studying the pharmacokinetics (the manner in which drugs are absorbed, metabolized, distributed, and excreted) and pharmacodynamics (man­ner in which drugs show interactions within the body) of pharmaceuticals (Chowdhury et al. 2021). Studies on the metabolism and pharmacokinetics of
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potential medications have become a signicant aspect of drug discovery and devel­opment programmes, and they typically begin concurrently with biological activity screening (Üëá etal. 2011). Throughout the early learning period of preclinical drug discovery, a comprehensive and rigorous PK/PD programme might serve as an intermediate connecting preclinical development and drug discovery (Meibohm and Derendorf 2002). The link involving a drug’s dose and its biological effects is exam­ined by pharmacodynamic analysis. To ascertain the drug’s potency, maximum response, and minimum effective concentration, concentration-effect curves may need to be established (Crommelin etal. 2020). By combining the two, pharmaco­kinetic/pharmacodynamic modelling forecasts the drug’s impact according to its pharmacokinetic prole. Optimizing dosage tactics can benet from this (Sarkar et al. 2022). There are multiple potential benets to developing and applying mechanism- based PK/PD modelling in different animal populations: (a) It charac­terizes the dosage concentration effectiveness relation accurately and thoroughly, (b) it provides effectiveness and intrinsic performance measurements using concen­trations instead of doses, (c) it enables research into the role of inuencing physio­logical and pathological factors, in addition to resistance in conditions (Felmlee etal. 2012). The genetic variations of drug-metabolizing enzymes and transporters have a signicant impact on the pharmacokinetics of natural products. This has garnered increasing attention in recent years, but despite the wide range and wide­spread applications of natural products worldwide, there is still a deciency of knowledge in this area (Rao etal. 2019). The volume of distribution (Vd) and clear­ance (CL) are the two most signicant PK parameters for pharmaceuticals. A pro­portionality constant known as the Vd is described as the relation among the observed plasma concentration and the dosage, or amount of drug supplied. The volume of blood or plasma from which a certain medication is entirely eliminated per unit of time (hours or minutes) is known as CL, which is a measure of drug elimination (van den Anker etal. 2018).
M. Aslam et al.
4.2.4 Drug Discovery andDevelopment
Biotechnology techniques such as recombinant DNA technology and gene expres­sion proling are used to identify prospective therapeutic targets, nd novel medica­tion candidates, and improve their properties. The Human Genome Project has so far had a substantial effect on new drug discovery (Boulnois 2000). The develop­ment of microarray technology, which allows for the simultaneous study of the expression of tens of thousands of genes, as well as the increasing sophistication of proteome analysis, has created numerous opportunities for those working in drug discovery (Lander 1999).
Currently, biosensors are employed in assay development, validation, lead opti­mization, target identication, excretion, absorption, metabolism, distribution, and toxicity (Grimm etal. 2004). Proteomics is becoming increasingly signicant in the target identication and validation stages of the drug discovery process.
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Nanotechnology innovations are being used to improve drug delivery, drug discov­ery, and pharmaceutical manufacturing (Jain 2009).
Medical biotechnology is critical in today’s climate for understanding the molec­ular factors that cause health problems, enhancing diagnostic processes, and gener­ating tailored treatments. This approach enables disease therapy with an intriguing new pharmacological module that targets a milieu of causes (Anwar etal. 2022). Gram staining can distinguish among both kinds of bacteria and continues to be utilized in clinical specimens that include cerebrospinal uid or biopsies for early bacterial infection detection since it is a simpler and faster way of identifying bac­teria compared to the cultivation of cells (Lokko etal. 2018). However, due to the precision of such surgeries made possible by robots, they have been expanded to meet the needs of more people. It allows an experienced surgeon that is a recognized specialist in the discipline to operate on an individual in a different region of the world (Anwar etal. 2022). Traditionally, medicinal chemistry has taken advantage of any opportunity to contribute to the identication of new therapeutic molecules. Although medicinal chemistry as a profession has improved optimization into a process free of substantial unidentied barriers, the task of lead identication has yet to reach a comparable level of maturity (Venuti 1989; Anon n.d.-b).
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4.3 Biotechnological Techniques inPharmaceutical
Product Analysis
Biotechnological techniques have revolutionized pharmaceutical product analysis, providing powerful tools for researchers and analysts to assess the safety, efcacy, and quality of drugs and biopharmaceuticals. Here are some of the most important biotechnological approaches used in pharmaceutical product analysis.
4.3.1 Polymerase Chain Reaction
Recent advancements in methodology have made it possible to enhance an organ­ism’s genetic abnormalities in DNA or RNA invitro using polymerase chain reac­tion (PCR), perhaps eliminating the need for culture. Primer annealing, primer extension, and denaturation of double-stranded DNA comprise the fundamental three- step cycle process of PCR (Schochetman etal. 1988). Certain DNA fragments of interest are surrounded by two oligonucleotide primers that combine to adjacent strands in the polymerase chain reaction (PCR) in culture technique for enzymatic synthesis of specic segments of DNA (Erlich 1989). Through a cyclic process called PCR, practically any sequence of nucleic acids found in a complex substance can be processed, producing a large number of identical copies that are simple to assess (Kubista etal. 2006).
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Recent improvements in PCR amplication methods have inuenced crucial characteristics such as misincorporation rate, specicity (target versus non-target amplication), and PCR product maximal length (Mfuh etal. 2019). The number of amplication items is evaluated by many PCR techniques, oligonucleotide probe typing, or direct sequencing; therefore infrequent mis-incorporated nucleotides are not found (Erlich etal. 1985).
Additionally, it has been claimed that novel PCR-based techniques improve the assay’s sensitivity and specicity. Furthermore, real-time Reverse Transcriptase­PCR is more sensitive than traditional RT-PCR assay, which can be very helpful in early infection diagnosis (Shen etal. 2020).
M. Aslam et al.
4.3.2 Enzyme-Linked Immunosorbent Assay (ELISA)
ELISAs are immunoassays through which an enzyme acts as the “signal generator” or “reporter” while one reactant remains stationary on a solid surface. Enzyme­linked immunosorbent assays (ELISA) and solid-phase immunoassays technically simplied antigen quantication and antibody detection (Butler 2000).
An indirect ELISA to identify particular antibodies and a direct competitive ELISA to identify soluble antigens are two of the six unique ELISA methods that demonstrate the diversity of ELISAs. Soluble antigens can be detected using an antibody-sandwich ELISA, specic antibodies can be found using a double antibody- sandwich ELISA, and cell-surface antigens and antibodies specic to sur­face antigens can be found using two cellular ELISAs (Hornbeck 1992). The anti­gen that has coated the well is attached by a primary detection antibody with a tagged enzyme in a direct ELISA (Schots etal. 1988). Sandwich ELISA is used to analyse more complicated solutions. The capacity of a conguration to t an anti­gen between two antibodies is where the test gets its name (Katsurada etal. 2007). A competitive ELISA differs from sandwich, direct or indirect ELISAs in that it employs the method of efcient interactions (Libeau etal. 1995). Any antigen pres­ent is attached to the primary antibody when it comes into contact to an unpuried sample. Complexes of antigen and antibody are formed in proportion to the number of antigens in the material being examined (Starr and Tessier 2019). Lesser number of antibodies are able to attach to the antigen in greater number of antigen-antibody complexes that develop (Sittampalam etal. 1996).
4.3.3 Mass Spectrometry (MS)
Proteomics is the methodical analysis of every protein present in a given tissue or cell, with mass spectrometry at the heart of most proteomic techniques. For a long time, mass spectrometry was limited to tiny and thermostable compounds due to a lack of adequate procedures for softly ionizing and transferring ionized molecules
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from the condensed phase to the gas phase without signicant fragmentation (Domon and Aebersold 2006). Mass Spectrometry is unique among analytical tech­niques utilized for an astonishingly wide range of applications by analysing the molecule’s inherent mass property with exceptionally high accuracy (Mann etal. 2001).
Currently, there are three key applications of MS in proteomics. MS is the pre­ferred technique for characterizing and controlling the quality of recombinant pro­teins and other macromolecules, which is a signicant task in the eld of biotechnology (Glish and Vachet 2003). It is also widely utilized in protein identi­cation, whether in traditional biochemical research or large-scale proteomic ones (Zubarev and Makarov 2013). Finally, because MS assesses a protein’s molecular weight, it is the method of choice for detecting and characterizing posttranslational modications and has the potential to identify any covalent change that alters the mass of a protein (Cooks etal. 2006).
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4.3.4 High-Performance Liquid Chromatography
Pharmaceutical analysis often entails conducting trials to determine how much of a medication is present in a pharmaceutical formulation of therapeutic substances. This method needs to be tried out extensively, and even after it is established and proven, there may be situations where it still needs to be tried out again (Ganorkar and Shirkhedkar 2017). Multidimensional column chromatography (also known as column switching, multiphase, multicolumn, or coupled column chromatography) is an effective method for separating multicomponent materials. The approach has been used in thin-layer chromatography (TLC) for many years, although in a some­what different way (Milroy etal. 2011).
Chemicals dissolved in solution can be separated and quantied using a particu­lar chromatography technique. Based on the mechanism of action, chromatography systems are frequently classied into four types: adsorption, partition, ion-exchange, and size exclusion (Kupiec 2004). When it comes to bulk medications and pharma­ceutical formulation quality control, this method is crucial. It encompasses various tasks such as analysing active pharmaceutical ingredients (API), characterizing impurities, guring out enantiomeric purity, and discovering breakdown of sub­stances to evaluate product stability. Additionally, the byproducts of drugs in bio­logical specimens are identied using it (Yabré etal. 2018).
4.3.5 Western Blotting
Northern and Southern blotting gave rise to Western blotting (WB), commonly referred to as immunoblotting or protein blotting (Southern 2004; Alwine et al.
1977). The nature of the gel, molecular mass of proteins being transferred, and the
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membrane being utilized are all crucial factors in ensuring the effective migration of proteins from a gel to a solid membrane support (Kurien and Scoeld 2006).
Researching the regulatory molecular mechanisms underlying protein turnover, energy metabolism, and chronic physiological adaptations can benet greatly from the extensive range of applications provided by the Western blot (WB) (Bass etal.
2017). A usual approach for identifying proteins and subsequent modications on
proteins is the western blot, which can provide numeric or indirect information on the target protein in both straightforward and complicated biological materials (Vallejo-Illarramendi etal. 2013). One popular method for analysing proteins is western blotting (He and Herr 2010). Purication and concentration of proteins determined by the extracts of cell or tissue are usually the rst steps in this multistep process, protein size separation on a nitrocellulose or polyvinylidene uoride (PVDF) and polyacrylamide gel containing sodium dodecyl sulphate (SDS) membrane- mediated mobilization protein isolation, obstructing membrane proteins without specicity, conjugation of a secondary antibody with a labelled uorescent or chemiluminescent molecule, identication of a signal indicating the binding of an antigen or antibody densitometry analysis using software to identify relevant protein bands (Mishra etal. 2017; Murphy and Lamb 2013).
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4.4 Applications inDrug Development andQuality Control
Biotechnology plays a crucial role in the pharmaceutical sector for both drug devel­opment and quality control. Here are some examples of major applications in both domains. The development of quick and precise drug safety analysis methodologies is necessary since current approaches and techniques are unable to keep up with the demands of the industry (Chen etal. 2022). This section provides an overview of the development of biological approaches used to analyse medication safety (Fig.4.2).
4.4.1 Target Identication andValidation
Target validation and identication are the initial crucial steps in the therapeutic research process. Discovering new targets usually proteins, whose modication could halt or reverse the course of a disease, is the aim of target discovery (Howbrook etal. 2003). Nucleic acid microarrays have signicantly improved our knowledge of both normal and abnormal elds of biochemistry, which in turn has inuenced the choice of targets for medication development (Vernell etal. 2003; Wang etal. 2004).
It enables intuitive and accessible analysis of the data that links targets and dis­eases, while also giving methods for the inquiry of specic illness concept (Koscielny etal. 2017). Relevant information linking a target to a disease is stored on the Target Evaluation Services for all potential human targets, including proteins and RNA molecules (Malone etal. 2010).
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Fig. 4.2 A summary for drug assessment by biological methods (Chen etal. 2022)
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4.4.2 Structural Biology
The earliest documented success stories reported in the early 1990s with structural biology as a therapeutic research technique date back to the mid-1970s (Beddell etal. 1976; Erickson etal. 1990). Nowadays, many corporate pharmaceutical devel­opment initiatives depend heavily on structural biology and SBDD, and these areas of study are also the focus of research for numerous university groups (Van Duin etal. 2003). This is the stage for the medication approach to research where SBDD has most potential to make a difference, via inuencing the main components’ modi­cation in chemicals (Scapin 2006). Known as in-cell or in situ structure commit­ment, the viewing of cellular frameworks in their native surroundings is still one of structural biology’s long-term objectives. Indeed, the viability of this strategy is dem­onstrated by recent developments in mass spectrometry, chemical crosslinking, data processing, cryo-electron tomography, and data processing (Cramer 2021).
4.4.3 Bioprocess Monitoring
HTRF (Homogeneous Time-Resolved Fluorescence) technology is based on the principle of uorescence resonance energy transfer (FRET) where non-radiative energy is transferred from a donor uorophore (rare-earth lanthanides) to an