| Literature DB >> 33379073 |
Maria A Acquavia1, Luca Foti2, Raffaella Pascale3, Antonia Nicolò4, Vincenzo Brancaleone5, Tommaso R I Cataldi6, Giuseppe Martelli7, Laura Scrano8, Giuliana Bianco9.
Abstract
Since coronavirus disease 2019 (COVID-19) started as a fast-spreading pandemic, causing a huge number of deaths worldwide, several therapeutic options have been tested to counteract or reduce the clinical symptoms of patients infected with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Currently, no specific drugs for COVID-19 are available, but many antiviral agents have been authorised by several national agencies. Most of them are under investigation in both preclinical and clinical trials; however, pharmacokinetic and metabolism studies are needed to identify the most suitable dose to achieve the desired effect on SARS-CoV-2. Therefore, the efforts of the scientific community have focused on the screening of therapies able to counteract the most severe effects of the infection, as well as on the search of sensitive and selective analytical methods for drug detection in biological matrices, both fluids and tissues. In the last decade, many analytical methods have been proposed for the detection and quantification of antiviral compounds currently being tested for COVID-19 treatment. In this review, a critical discussion on the overall analytical procedure is provided, i.e (a) sample pre-treatment and extraction methods such as protein precipitation (PP), solid-phase extraction (SPE), liquid-liquid extraction (LLE), ultrasound-assisted extraction (UAE) and QuEChERS (quick, easy, cheap, effective, rugged and safe), (b) detection and quantification methods such as potentiometry, spectrofluorimetry and mass spectrometry (MS) as well as (c) methods including a preliminary separation step, such as high performance liquid chromatography (HPLC) and capillary electrophoresis (CE) coupled to UV-Vis or MS detection. Further current trends, advantages and disadvantages and prospects of these methods have been discussed, to help the analytical advances in reducing the harm caused by the SARS-CoV-2 virus.Entities:
Keywords: Analytical methods; Antivirals; Biological matrices; Liquid chromatography; Mass spectrometry; SARS-CoV-2
Year: 2020 PMID: 33379073 PMCID: PMC7642756 DOI: 10.1016/j.talanta.2020.121862
Source DB: PubMed Journal: Talanta ISSN: 0039-9140 Impact factor: 6.057
Fig. 1Structures, chemical formula and chemical properties (octanol-water partition coefficients, i.e. logP, and acid dissociation constants, i.e. pKa) of antivirals belonging to the class of protease inhibitors (PIs) tested for COVID-19 treatment, i.e. indinavir, ritonavir, saquinavir, darunavir and lopinavir.
Fig. 2Structures, chemical formula and chemical properties (octanol-water partition coefficients, i.e. logP, and acid dissociation constants, i.e. pKa) of antivirals belonging to the class of RNA-dependend RNA-polymerase inhibitors (A), i.e. favipiravir, remdesivir and galidesivir, and to the class of reverse transcriptase inhibitors (B), i.e. emtricitabin and tenofovir, tested for COVID-19 treatment.
Fig. 3Structures, chemical formula and chemical properties (octanol-water partition coefficients, i.e. logP, and acid dissociation constants, i.e. pKa) of antivirals belonging to the class of: inhibitors of the neuraminidase enzyme (A), i.e. oseltamivir, RNA synthesis inhibitors (B), i.e. ribavirin, cap-dependent endonuclease inhibitors (C), i.e. baloxavir marboxil and membrane fusion inhibitors (D), i.e. umifenovir, tested for COVID-19 treatment.
Comparison of methods used to evaluate the main analytical validation parameters (linearity, sensititivity, accuracy, precision, recovery and matrix effect) as well as the corresponding acceptance criteria reported in the guidelines typically followed for bioanalytical methods validation developed for drugs quantitation in biological fluids and tissues.
| Guideline | Linearity | Sensitivity | Accuracy | Precision | Recovery | Matrix effect | |
|---|---|---|---|---|---|---|---|
| FDA | Analyze a blank (no analyte, no IS), a zero calibrator (blank plus IS), and at least six, non-zero calibrator levels covering the quantitation range, including LLOQ in every run. | The lowest non-zero standard on the calibration curve defines the sensitivity (LLOQ). | Accuracy should be established by analysis of replicate concentrations with at least three independent runs, four QC levels per run (LLOQ, L, M, H QC), and ≥ five replicates per QC level. | Precision should be established with at least three independent runs, four QC levels per run (LLOQ, L, M, H QC), and ≥ five replicates per QC level. | Extracted samples at L, M, and H QC concentrations versus extracts of blanks spiked with the analyte post extraction (at L, M, and H) | Compare calibration curves in multiple sources of the biological matrix against a calibration curve in the matrix for parallelism (serial dilution of incurred samples) and nonspecific binding. | |
| Non-zero calibrators should be ±15% of nominal (theoretical) concentrations, except at LLOQ where the calibrator should be ±20% of the nominal concentrations in each run. | The analyte response at the LLOQ should be ≥ five times the analyte response of the zero calibrator. | ±15% of nominal concentrations; except ±20% at LLOQ. | ±15% CV, except ±20% CV at LLOQ | Recovery of analyte and IS need not be 100%, but it should consistent, precise and reproducible | / | ||
| EMA | A minimum of six calibration concentration levels should be used, in addition to the blank sample (processed matrix sample without analyte and without IS) and a zero sample (processed matrix with IS). Each calibration standard can be analysed in replicate. | Not described | Accuracy should be assessed on samples spiked with known amounts of the analyte (a minimum of 4 QC levels). The QC samples are analysed against the calibration curve, and the obtained concentrations are compared with the nominal value. | Precision should be assessed on minimum of five samples per concentration level at LLOQ, L, M and H QC samples in a single run (within- run precision) or in at least three runs analysed on at least two different days should be evaluated (between-run precision). | Not described | For each analyte and the IS, the matrix factor (MF) should be calculated for 6 lots of blank matrix, by the ratio of the peak area in the presence of matrix (measured by analysing blank matrix spiked after extraction with analyte), to the peak area in absence of matrix (pure solution of the analyte). | |
| The back calculated concentrations of the calibration standards should be within ±15% of the nominal value, except for the LLOQ for which it should be within ±20% | / | The mean concentration should be within 15% of the nominal values for the QC samples, except for the LLOQ which should be within 20% of the nominal value. | The within-run and between-run CV value should not exceed 15% for the QC samples, except for the LLOQ which should not exceed 20%. | / | The CV of the IS-normalized MF calculated from the 6 lots of matrix should not be greater than 15%. | ||
| ICH | A calibration curve should be generated with a blank sample, a zero sample (blank sample spiked with IS), and at least 6 concentration levels of calibration standards, including the LLOQ and the ULOQ. | Not described | Within-run accuracy should be evaluated by analysing at least 5 replicates at 4 QC concentration level in each analytical run. Between-run accuracy should be evaluated by analysing each QC concentration level in at least 3 analytical runs over at least two days. | Within-run precision should be evaluated by analysing at least 5 replicates at 4 QC concentration level in each analytical run. Between-run precision should be evaluated by analysing each QC concentration level in at least 3 analytical runs over at least two days. | Recovery is determined by comparing the analyte response in a biological sample that is spiked with the analyte and processed, with the response in a biological blank sample that is processed and then spiked with the analyte (L, M and H QC levels). | The matrix effect should be evaluated by analysing at least 3 replicates of L and H QCs, each prepared using matrix from at least 6 different sources/lots. | |
| The accuracy of the back-calculated concentrations of each calibration standard should be within ±20% of the nominal concentration at the LLOQ and within ±15% at all the other levels. | / | The overall accuracy at each concentration level should be within ±15% of the nominal concentration, except at the LLOQ, where it should be within ±20%. | The precision (%CV) of the concentrations determined at each level should not exceed 15%, except at the LLOQ, where it should not exceed 20%. | Recovery of the analyte does not need to be 100%, but the extent of recovery of an analyte and of the IS (if used) should be consistent. | The accuracy should be within ±15% of the nominal concentration and the precision (%CV) should not be greater than 15% in all individual matrix sources/lots. | ||
| European Commission Decision 2002/657/EC | At least five levels (including zero) should be used in the construction of the curve | Not described | Accuracy is determined by evaluating the trueness and the precision of the method. Trueness is evaluated by analysing six replicates of the CRM. Then, divide the detected mean concentration by the certified value (measured as concentration) and multiply by 100, to express the trueness as a percentage. If no CRM is available, instead of trueness, the recovery can be determined. | Fortify matrix with the analyte (to calculate repeatability) or CMR (for reproducibility) to yield concentrations equivalent to 1, 1,5 and 2 times the minimum required performance limit or 0,5, 1 and 1,5 times the permitted limit. At each level the analysis should be performed with at least six replicates analysed in repeatability conditions or reproducibility conditions. | Select 18 aliquots of a blank material and fortify six aliquots at each of 1, 1,5 and 2 times the minimum required performance limit or 0,5, 1 and 1,5 times the permitted limit. Then, analyze the samples and calculate the concentration present in each sample to determine recovery as: | Not described | |
| / | / | / | The CV under reproducibility conditions, shall not exceed the level calculated by the Horwitz Equation, or one half and two thirds (repeatability) | / | / | ||
Techniques used for the extraction of antiviral drugs from biological matrices with their main advantages and drawbacks.
| Extraction technique | Matrices | Advantages | Drawbacks |
|---|---|---|---|
| Plasma samples, seminal plasma, cell lysates, cerebrospinal fluid, mice vaginal lavage, saliva, urine and breast milk. | Fastest and simplest extraction technique. It can be used also as sample pre-treatment before applying other extraction techniques. | Low selectivity; it could induce analytes co-precipitation. It does not sufficiently remove endogenous compounds such as lipids, phospholipids and fatty acids. | |
| Plasma, cell lysates, cerebrospinal fluid, chicken tissue, poultry muscle. | It combines extraction, clean-up and concentration procedures in a single step. It ensures analytes extraction with high selectivity. | Slightly tedious and time-consuming extraction technique. In some cases, it could result in less intense chromatographic peaks if compared to liquid-liquid extraction. | |
| Plasma, urine, faeces, hairs, mice vaginal tissues, liver tissues, poultry muscles, peripheral blood mononuclear cells, and human placental choriocarcinoma trophobplast cells. | Faster and easier than SPE. It desalts samples very well, lessening the problem of source fouling in mass spectrometry analyses. | Time-consuming technique and a rather hazardous one, due to the use of large amounts of toxic organic solvents. It is less selective than solid-phase extraction; moreover, the possibility of emulsion formation prevents automation of this technique. | |
| Urine, chicken tissue, dried sample spots. | Ultrasound increases the rate of mass transfer of analytes from matrix in the solvent compared to the classic liquid-liquid extraction. | Technique not widespread for the extraction from biological matrices. | |
| Plasma, chicken muscle. | More suitable for the extraction of drugs from biological tissues compared to liquid-liquid extraction or solid-phase extraction. It is a quick, easy, cheap, effective, rugged and safe method, ensuring an high selectivity of the extraction. | The QuEChERS method yields final extracts less concentrated compared to the traditional extraction techniques. |
Analytical methods employed in the last ten years for the detection of antivirals currently tested for COVID-19 treatment, with their main advantages and drawbacks.
| Advantages | Drawbacks | ||
|---|---|---|---|
| Methods for direct detection and quantification | Fast and economical possibility to monitor the drug of interest thanks to ion-selective electrodes, whose the electric potential created over membrane depends on its the activity and allows its quantification. | Still limited since many common ions occurring in biofluids and tissues could interfere with the measurement of the target analyte. | |
| Easy, less expensive and less time consuming methods; they offer better sensitivity compared to potentiometric methods. | Sometimes require derivatization steps before the detection to form fluorescent adducts, since not all the antivirals are characterized by native fluorescence. Endogenous compounds could interfere with the results of the analysis. | ||
| Short analysis times and low ion suppression. | Quantification remains a major challenge due to problems associated with analyte recovery from the tissue and ionization matrix effects. | ||
| Methods including a preliminary separation step | Better sensitivity compared to CE-UV. Possibility to carry out multiresidue analysis. | Sensitivity and selectivity are rather limited because LC-UV requires a huge volume of sample and complex sample preparation to detect drugs at a low concentration. | |
| More sensitive and selective than LC-UV, since fluorescence is a characteristic of well-defined compounds. | Since not all the antivirals are characterized by native fluorescence, sometimes are required derivatization steps before the analysis. | ||
| Faster analysis with higher efficiency than LC-UV, thanks to the drugs separation through a small capillary under the influence of an electric field. | Low concentration sensitivity | ||
| Higher selectivity and sensibility compared to LC-UV methods. Shorter analysis time. Possibility to carry out multiresidue analysis. | Susceptibility to matrix effects, due to the outcome of co-eluting interfering compounds on the analyte ionization. | ||
| Improved chromatographic efficiency compared to high performance liquid chromatography (HPLC) columns. Less susceptible to matrix effect. | Due to the smaller particles in the column, a more tedious pre-treatment of the sample in order to avoid its clogging is needed. |
Fig. 4Product ion mass spectra of some protease inhibitors, i.e. ritonavir, lopinavir and indinavir. Reproduced with the permission of Mishra et al., 2012 [138].
Fig. 5Fragmentation phatways proposed for umifenovir and oseltamivir. Reproduced with the permission of Niessen et al., 2020 [139].
Fig. 6Product ion mass spectra of tenofovir and emtricitabine. Reproduced with the permission of Yadav et al. [140].