Dried Blood Spot Data Research Articles

Validation and Application of a Dried Blood Spot Amoxicillin Assay

Dried blood spot (DBS) antibiotic assays can facilitate pharmacokinetic (PK) investigations in situations where venous blood sampling is logistically and/or ethically challenging. The aim of this study was to establish, validate and demonstrate the application of a DBS amoxicillin assay for PK studies in vulnerable populations. The matrix effect, process efficiency (84–104%) and recovery (85–110%) of the liquid chromatography–mass spectrometry (LC–MS/MS) assay for amoxicillin in DBS was determined at 1, 10 and 100 µg/mL, and three different haematocrits. Thermal stability studies of amoxicillin in DBS were performed and a bridging study comprising 26 paired plasma and DBS samples was conducted in four healthy individuals. The limits of detection and quantification were 0.02 and 0.05 µg/mL for plasma and DBS amoxicillin assays, respectively. Accuracy and interday precision of amoxicillin in DBS (0.1–100 µg/mL) were 88–103% and 4.5–9.2%, respectively. At room temperature (22 °C) and 4 °C, amoxicillin was stable in DBS for ≈4 and 26 h, respectively. There was no degradation of amoxicillin in DBS at −20 °C for > 6 months. When comparing DBS and plasma collected from healthy volunteers, the slope of the Deming regression was 0.74. Amoxicillin CL/F estimates from DBS and plasma concentration data were 40.8 and 30.7 L/h/70 kg, respectively; V/F was 43.2 and 37.4 L/70 kg, respectively. In conclusion, amoxicillin can be reliably assayed from DBS in research studies but may have limited application in therapeutic drug monitoring. Due to poor stability at room temperature, amoxicillin DBS samples should be promptly dried and placed in frozen storage.

Establishing Personalized Blood Protein Reference Ranges Using Noninvasive Microsampling and Targeted Proteomics: Implications for Antidoping Strategies.

To prevent doping practices in sports, the World Anti-Doping Agency implemented the Athlete Biological Passport (ABP) program, monitoring biological variables over time to indirectly reveal the effects of doping rather than detect the doping substance or the method itself. In the context of this program, a highly multiplexed mass spectrometry-based proteomics assay for 319 peptides corresponding to 250 proteins was developed, including proteins associated with blood-doping practices. "Baseline" expression profiles of these potential biomarkers in capillary blood (dried blood spots (DBS)) were established using multiple reaction monitoring (MRM). Combining DBS microsampling with highly multiplexed MRM assays is the best-suited technology to enhance the effectiveness of the ABP program, as it represents a cost-effective and robust alternative analytical method with high specificity and selectivity of targets in the attomole range. DBS data were collected from 10 healthy athlete volunteers over a period of 140 days (28 time points per participant). These comprehensive findings provide a personalized targeted blood proteome "fingerprint" showcasing that the targeted proteome is unique to an individual and likely comparable to a DNA fingerprint. The results can serve as a baseline for future studies investigating doping-related perturbations.

Dried blood spot based biomarkers in the Health and Retirement Study: 2006 to 2016.

The Health and Retirement Study (HRS) has collected biomarker data over multiple waves. Such data can help improve our understanding of health changes in individuals and the causal pathways related to health. There are, however, technical challenges to using the HRS dried blood spots (DBS) biomarker data due to changes over time in assay protocols, platforms, and laboratories. We provide technical and summary information on biological indicators collected as part of the HRS from 2006 to 2016 that should be helpful to users of the data. We describe the opportunities and challenges provided by the HRS DBS data as well as insights provided by the data. The HRS collected DBS from its nationally representative sample of respondents 51 years of age or older from 2006 to 2016. DBS-based biomarkers were collected from half the sample in 2006, 2010, and 2014, and from the other half of the sample in 2008, 2012, and 2016. These DBS specimens were used to assay total and HDL cholesterol, glycosylated hemoglobin, C-reactive protein, and cystatin C from 2006 to 2016, and Interleukin 6 was added in 2014/2016. Samples included approximately 6000 individuals at each wave, and completion rates ranged from 81% to 90%. HRS transformed DBS values into venous blood equivalents to make them more comparable to those of the whole blood-based assays collected in most other studies and to facilitate longitudinal analysis. Distribution of changes over time by age shows that total cholesterol levels decreased for each age, while HbA1c levels increased. Cystatin C shows a clear age gradient, but a number of other markers do not. Non-Hispanic Black persons and Hispanic respondents have a higher incidence of risk levels of each biomarker except for CRP among non-Hispanic Black older persons. These public-use DBS data provide analysis opportunities that can be used to improve our understanding of health change with age in both populations and among individuals.

Utility of Newborn Dried Blood Spots to Ascertain Seroprevalence of SARS-CoV-2 Antibodies Among Individuals Giving Birth in New York State, November 2019 to November 2021

Serosurveys can be used to monitor population-level dynamics of COVID-19 and vaccination. Dried blood spots (DBSs) collected from infants contain maternal IgG antibodies and are useful for serosurveys of individuals recently giving birth. To examine SARS-CoV-2 antibody prevalence in pregnant individuals in New York State, identify associations between SARS-CoV-2 antibody status and maternal and infant characteristics, and detect COVID-19 vaccination among this population. A population-based, repeated cross-sectional study was conducted to detect SARS-CoV-2 nucleocapsid (N) and spike (S) IgG antibodies. Deidentified DBS samples and data submitted to the New York State Newborn Screening Program between November 1, 2019, and November 30, 2021, were analyzed. Prenatal exposure to SARS-CoV-2 antibodies. The presence of IgG antibodies to SARS-CoV-2 N and S antigens was measured using a microsphere immunoassay. Data were analyzed by geographic region and compared with reported COVID-19 cases and vaccinations among reproductive-aged females (15-44 years of age). Data were stratified by infant birth weight, gestational age, maternal age, and multiple birth status. Dried blood spot samples from 415 293 infants (median [IQR] age, 1.04 [1.00-1.20] days; 210 805 [51.1%] male) were analyzed for SARS-CoV-2 antibodies. The first known antibody-positive infant in New York State was born on March 29, 2020. SARS-CoV-2 seroprevalence reflected statewide and regional COVID-19 cases among reproductive-aged females in the prevaccine period. From February through November 2021, S seroprevalence was strongly correlated with cumulative vaccinations in each New York State region and in the state overall (rs = 0.92-1.00, P ≤ .001). S and N seroprevalences were significantly lower in newborns with very low birth weight (720 [14.8%] for S and 138 [2.8%] for N, P < .001) and low birth weight (5160 [19.3%] for S and 1233 [4.6%] for N, P = .009) compared with newborns with normal birth weight (77 116 [20.1%] for S and 19 872 [5.2%] for N). Lower N and higher S seroprevalences were observed in multiple births (odds ratio [OR], 0.84; 95% CI, 0.75-0.94; P = .002 for N and OR, 1.24; 95% CI, 1.18-1.31; P < .001 for S) vs single births and for maternal age older than 30 years (OR, 0.87; 95% CI, 0.80-0.94; P < .001 for N and OR, 1.17; 95% CI, 1.11-1.23; P < .001 for S) vs younger than 20 years. In this study, seroprevalence in newborn DBS samples reflected COVID-19 case fluctuations and vaccinations among reproductive-aged women during the study period. These results demonstrate the utility of using newborn DBS testing to estimate SARS-CoV-2 seroprevalence in pregnant individuals.

A Model-Based Approach to Bridging Plasma and Dried Blood Spot Concentration Data for Phase 3 Verubecestat Trials

In-clinic venous dried blood spot (DBS) pharmacokinetic (PK) sampling was incorporated into two phase 3 studies of verubecestat for Alzheimer's disease (EPOCH [NCT01739348] and APECS [NCT01953601]), as a potential alternative to plasma PK sampling. Initially, plasma and DBS PK samples were collected concurrently to better understand the DBS-plasma verubecestat concentration relationship, with the intention of discontinuing DBS or plasma sampling following interim analysis. Following initial analyses and comparison of results with prespecified selection criteria, plasma PK sampling was discontinued; however, a stability issue resulting in generally lower DBS verubecestat concentrations with longer collection-to-assay times was subsequently discovered (associated with non-compliance in DBS sample handling), prompting reintroduction of plasma sampling. To enable inclusion of DBS data in population PK analyses, a conversion algorithm for calculating plasma-equivalent concentrations (accounting for DBS sample instability) was developed using paired (time-matched) plasma and DBS data from the EPOCH study. Verubecestat population PK models developed from pooled phase 1/1b and EPOCH data using either (1) plasma-only data or (2) plasma and plasma-equivalent concentrations (calculated from non-paired DBS samples) yielded similar results. The algorithm robustness was demonstrated using DBS data from paired samples from the APECS study and comparison between plasma and plasma-equivalent concentrations. The population PK model was updated with APECS data (both plasma and, if no plasma sample available, plasma equivalents). The results demonstrated similar PK in the two phase 3 populations and exposures consistent with expectations from phase 1 data. This case study illustrates challenges with employing new sampling techniques in large, global trials and describes lessons learned.

Exploring Dried Blood Spot Cortisol Concentrations as an Alternative for Monitoring Pediatric Adrenal Insufficiency Patients: A Model-Based Analysis.

Congenital adrenal hyperplasia (CAH) is the most common form of adrenal insufficiency in childhood; it requires cortisol replacement therapy with hydrocortisone (HC, synthetic cortisol) from birth and therapy monitoring for successful treatment. In children, the less invasive dried blood spot (DBS) sampling with whole blood including red blood cells (RBCs) provides an advantageous alternative to plasma sampling. Potential differences in binding/association processes between plasma and DBS however need to be considered to correctly interpret DBS measurements for therapy monitoring. While capillary DBS samples would be used in clinical practice, venous cortisol DBS samples from children with adrenal insufficiency were analyzed due to data availability and to directly compare and thus understand potential differences between venous DBS and plasma. A previously published HC plasma pharmacokinetic (PK) model was extended by leveraging these DBS concentrations. In addition to previously characterized binding of cortisol to albumin (linear process) and corticosteroid-binding globulin (CBG; saturable process), DBS data enabled the characterization of a linear cortisol association with RBCs, and thereby providing a quantitative link between DBS and plasma cortisol concentrations. The ratio between the observed cortisol plasma and DBS concentrations varies highly from 2 to 8. Deterministic simulations of the different cortisol binding/association fractions demonstrated that with higher blood cortisol concentrations, saturation of cortisol binding to CBG was observed, leading to an increase in all other cortisol binding fractions. In conclusion, a mathematical PK model was developed which links DBS measurements to plasma exposure and thus allows for quantitative interpretation of measurements of DBS samples.

Can dried blood spots be used to accurately measure vitamin D metabolites?

BackgroundWhere conventional blood sampling is challenging, dried blood spots (DBS) provide a practical sample alternative for measuring vitamin D levels. Our study aimed to develop and evaluate a clinical pathology service-based assay suitable for measuring vitamin D in batches of DBS samples collected remote to the testing site. MethodsA high throughput liquid chromatography-tandem mass spectrometry (LC-MS/MS) method with derivatisation was developed to measure 25-hydroxyvitamin D metabolites (25OHD3, 25OHD2 and 3-epi-25OHD3) in DBS samples. The assay was validated using paired DBS and plasma samples from 37 healthy adults. ResultsThe assay reproducibly (<11.5% coefficient of variation) quantified 25OHD3 (range 1–300 nmol/L), 25OHD2 (range 2–300 nmol/L) and 3-epi-25OHD3 (range 1–200 nmol/L) in DBS samples. The 25OHD3 metabolite was detected in all DBS samples, 3-epi-25OHD3 in six plasma (range 2.1–6.3 nmol/L) and paired DBS samples, and 25OHD2 was not detected. Concentrations of 25OHD3 were highly correlated between paired samples: capillary DBS and venous plasma (r = 0.92), venous DBS and venous plasma (r = 0.93), and capillary DBS and venous DBS (r = 0.97). Ordinary least squares regression was used to characterise (β = 0.81) and correct the systematic bias in DBS data (compared to paired plasma). Thereafter, Bland-Altman analysis demonstrated robust agreement between sample-methods. ConclusionThis simple and rapid DBS-based LC-MS/MS assay accurately quantified serum vitamin D metabolites using a paired-sample ‘bridging strategy’ to correct for the inherent sample-method bias.

Greater Subjective Well-Being Associated With Lower Inflammatory Proteins in an Older Adult Sample From the NHATS

Subjective well-being (SWB), comprised of cognitive and affective evaluations of life, is associated with better health outcomes and lower mortality, but mechanisms are poorly understood. We examine the associations between SWB and its subscales with two biomarkers: Interleukin-6 (IL-6) and C-Reactive Protein (CRP), both common inflammatory indicators associated with mortality and increased cardiovascular disease. Dried blood spot data collected from 4,648 older adults NHATS participants in 2017 was used. After adjustment for age, sex, race/ethnicity, education, tobacco, body mass index and chronic disease, we found greater SWB and greater scores on subscales including positive affect, self-realization and personal mastery were all significantly associated with decreased IL-6 and CRP. Conversely, increases in negative affect was significantly associated with increased IL-6 and CRP values. This study adds evidence of a potential mechanistic mind-body connection pathway.

Improving measles syndromic surveillance via dried blood spot testing in Laos 2016-17

Improving measles syndromic surveillance via dried blood spot testing in Laos 2016-17

Development and validation of an LC-MS/MS method for the analysis of ivermectin in plasma, whole blood, and dried blood spots using a fully automatic extraction system

Ivermectin is deployed in mass drug administration (MDA) campaigns to control parasitic diseases in the tropics, with billions of treatments having been administered in the last three decades. Simple blood sampling tools, like the dried blood spots (DBS) technique, are needed to monitor treatments in such challenging settings. Thus, we developed a fully automated method for the analysis of ivermectin in DBS microsamples, including a bioanalytical and clinical validation.Automated extraction was carried out using a DBS-MS 500 autosampler which was coupled to a LC–MS/MS system. DBS were extracted with 20 μL solvent and eluted on a C8 analytical column. Analysis was performed by multiple reaction monitoring in the positive mode.Automated DBS extraction resulted in consistent recoveries (62.8 ± 4.3%) and matrix effects (68.0 ± 8.1%) between different donors and concentration levels. Intra- and inter-day accuracy and precision deviations were ≤15%, while samples with hematocrits from 20 to 60% could be quantified reliably. The achieved sensitivity of 1 ng/mL in DBS samples is sufficient to analyze ivermectin at the dose given (single oral administration of 12 mg) over a period of at least 72 h post treatment. Importantly, DBS samples are stable after one-month storage at room temperature (accuracy: 88.8–96.2%), thus samples collected in the field must not be shipped on dry ice. Ivermectin concentrations in venous and capillary blood agreed strongly, with a mean difference of −4.8%. Moreover, the drying process of DBS did not alter the analysis and importantly plasma concentrations can be estimated from DBS data using the hematocrit and red blood cell partitioning as correction factor.Our method enables uncomplicated sample collection and shipment as well as automated analysis of large amounts of samples, which is key to surveying MDA campaigns in remote settings.

Using dried blood spot samples from a trio for linked-read whole-exome sequencing

Long-term collection of dried blood spot (DBS) samples through newborn screening may have retrospective and prospective advantages, especially in combination with advanced analytical techniques. This work concerns whether linked-reads may overcome some of the limitations of short-read sequencing of DBS samples, such as performing molecular phasing. We performed whole-exome sequencing of DNA extracted from DBS and corresponding whole blood (WB) reference samples, belonging to a trio with unaffected parents and a proband affected by primary carnitine deficiency (PCD). For the DBS samples we were able to phase >21% of the genes under 100 kb, >40% of the SNPs, and the longest phase block was >72 kb. Corresponding results for the WB reference samples was >85%, >75%, and >915 kb, respectively. Concerning the PCD causing variant (rs72552725:A > G) in the SLC22A5 gene we observe full genotype concordance between DBS and WB for all three samples. Furthermore, we were able to phase all variants within the SLC22A5 gene in the proband’s WB data, which shows that linked-read sequencing may replace the trio information for haplotype detection. However, due to smaller molecular lengths in the DBS data only small phase blocks were observed in the proband’s DBS sample. Therefore, further optimisation of the DBS workflow is needed in order to explore the full potential of DBS samples as a test bed for molecular phasing.

A Validated Method for Quantification of Efavirenz in Dried Blood Spots Using High-Performance Liquid Chromatography–Mass Spectrometry

Efavirenz (EFV) is one of the preferred components of first-line antiretroviral treatment. EFV is characterized by a long plasma half-life (40-55 hours) with large interpatient variability, which raises the potential for individualization of therapy. Analyses of EFV levels in plasma require specialized facilities (cold storage/transport) which, in resource-limited settings, can be problematic; dried blood spots (DBS)-EFV measurements thus provide a cheap easy alternative for therapeutic drug monitoring. Our aim was to develop and validate a liquid chromatography-mass spectrometry method to quantify EFV in DBS collected as part of clinical trials in resource-limited settings. DBS for standards, quality control samples, and patient samples were excised and then extracted with ethyl acetate/n-hexane (50/50 vol/vol) after addition of internal standard hexobarbital, and 1 mol/L K2CO3. The extract was evaporated to dryness, the residue reconstituted in mobile phase and analyzed directly by liquid chromatography-mass spectrometry. Gradient elution was on a reverse-phase C18 column using 1 mmol/L ammonium acetate in water and acetonitrile. Quantification was by selected reaction monitoring in negative ionization mode. DBS samples were obtained at several time points over 24 hours from HIV+ patients on either 400 or 600 mg EFV in combination with emtricitabine/tenofovir. The internal standard and EFV eluted at 2.68 and 3.54 minutes, respectively in a 5-minute run time. Matrix effects were minimal (-5.4%). Calibration curves were validated over a concentration range of 25-5000 ng/mL. Intra-assay and interassay variations ranged between 6.7% and 8.7% for imprecision and 100.3% and 104.2% for accuracy. Mean recovery was >64%. The DBS data showed a strong positive correlation with a validated plasma EFV assay (R = 0.9764, P < 0.001). EFV concentrations from DBS were approximately 42% lower than the paired plasma values, and the ratio of blood/plasma did not change over the dosing interval. The validated assay is now routinely applied to clinical samples measuring DBS EFV for pharmacokinetic analysis. The methodology is robust, accurate, and sensitive.

Detection of immunoglobulin isotypes from dried blood spots

The study was designed to determine the sensitivity and reproducibility of recovering immunoglobulin (Ig) isotypes (IgG subclasses, IgA, IgE and IgM classes) from dried blood spots (DBS), a methodologic subcomponent of the Upstate KIDS Study. A multiplexed Luminex assay was used for IgG1/2/3/4, IgA and IgM analysis; an ELISA was used for IgE. Plasma samples from de-identified patients were used to compare the Luminex assay with nephelometry, which is routinely used to quantify IgA, IgG and IgM in clinical samples. The IgE ELISA was compared to an immunofluorescence assay. Prior to evaluation of punches from newborn dried blood spots (NDBSs), recoveries of Ig from punches of cord blood DBSs (CBDBSs) vs. plasma from the same cord bloods were compared. Although the recoveries of Ig from plasma and DBSs were not comparable, which could be due to cell lysates in the DBS samples, the analyses were reproducible. Additionally, the levels of IgA, IgG2, IgG4, and IgM recovered from CBDBSs positively correlated with those in plasma. The DBS data is a relative value since it is not equivalent to the plasma concentration. The majority of Ig concentrations recovered from 108 newborns of the Upstate KIDs Study were within the range of newborn plasma Ig levels with the exception of IgG3. The IgG4 values displayed the greatest variance with a wide range (0.01–319mg/dl), whereas, IgG1 values had the narrowest range (85.2–960.4mg/dl).

Potassium canrenoate treatment in paediatric patients

To characterize the population pharmacokinetics of canrenone following administration of potassium canrenoate (K-canrenoate) in paediatric patients. Data were collected prospectively from 37 paediatric patients (median weight 2.9 kg, age range 2 days-0.85 years) who received intravenous K-canrenoate for management of retained fluids, for example in heart failure and chronic lung disease. Dried blood spot (DBS) samples (n=213) from these were analysed for canrenone content and the data subjected to pharmacokinetic analysis using nonlinear mixed-effects modelling. Another group of patients (n=16) who had 71 matching plasma and DBS samples was analysed separately to compare canrenone pharmacokinetic parameters obtained using the two different matrices. A one-compartment model best described the DBS data. Significant covariates were weight, postmenstrual age (PMA) and gestational age. The final population models for canrenone clearance (CL/F) and volume of distribution (V/F) in DBS were CL/F (l/h) = 12.86 × (WT/70.0) × e [0.066 × (PMA - 40]) and V/F (l) = 603.30 × (WT/70) × (GA/40) where weight is in kilograms. The corresponding values of CL/F and V/F in a patient with a median weight of 2.9 kg are 1.11 l/h and 20.48 l, respectively. Estimated half-life of canrenone based on DBS concentrations was similar to that based on matched plasma concentrations (19.99 and 19.37 h, respectively, in 70 kg patient). The range of estimated CL/F in DBS for the study population was 0.12-9.62 l/h; hence, bodyweight-based dosage adjustment of K-canrenoate appears necessary. However, a dosing scheme that takes into consideration both weight and age (PMA/gestational age) of paediatric patients seems more appropriate.

Dried blood spots and sparse sampling: a practical approach to estimating pharmacokinetic parameters of caffeine in preterm infants

Dried blood spots (DBS) alongside micro-analytical techniques are a potential solution to the challenges of performing pharmacokinetic (PK) studies in children. However, DBS methods have received little formal evaluation in clinical settings relevant to children. The aim of the present study was to determine a PK model for caffeine using a 'DBS/microvolume platform' in preterm infants. DBS samples were collected prospectively from premature babies receiving caffeine for treatment of apnoea of prematurity. A non-linear mixed effects approach was used to develop a population PK model from measured DBS caffeine concentrations. Caffeine PK parameter estimates based on DBS data were then compared with plasma estimates for agreement. Three hundred and thirty-eight DBS cards for caffeine measurement were collected from 67 preterm infants (birth weight 0.6-2.11 kg). 88% of cards obtained were of acceptable quality and no child had more than 10 DBS samples or more than 0.5 ml of blood taken over the study period. There was good agreement between PK parameters estimated using caffeine concentrations from DBS samples (CL = 7.3 ml h⁻¹ kg⁻¹; V = 593 ml kg⁻¹; t(½) = 57 h) and historical caffeine PK parameter estimates based on plasma samples (CL = 4.9-7.9 ml h⁻¹ kg⁻¹; V = 640-970 ml kg⁻¹; t(½) = 101-144 h). We also found that changes in blood haematocrit may significantly confound estimates of caffeine PK parameters based on DBS data. This study demonstrates that DBS methods can be applied to PK studies in a vulnerable population group and are a practical alternative to wet matrix sampling techniques.

Merck’s Perspective on The Implementation of Dried Blood Spot Technology in Clinical Drug Development – Why, When and How

This paper communicates Merck's thoughts on why, when and how to use dried blood spot (DBS) technology in a clinical setting, and provides a strategic approach, emphasizing the necessary steps, for successful clinical implementation of this microsampling technique. PK consideration based on relevant in vitro data, that is, blood-to-plasma ratio, hematocrit, plasma unbound fraction and/or blood cell partition, is suggested to be part of the decision tree on when to choose DBS as a surrogate matrix for PK analysis. A quick feasibility assessment addressing analytical challenges, including sensitivity, hematocrit impact and storage stability, needs to be evaluated before initiating DBS studies. Special attention should be paid to the clinical sample collection procedures to ensure data quality. Bridging studies are required to establish the correlation between plasma and DBS data to ensure that pooling of data from the various clinical studies can be used in population PK or PK/PD assessment. Seeking regulatory feedback and guidance on a case-by-case basis is recommended.

Preclinical Bridging Studies: Understanding Dried Blood Spot and Plasma Exposure Profiles

Understanding the distribution of the analyte between the cellular and noncellular (plasma) components of the blood is important, especially in situations where dried blood spot (DBS) data need to be compared with plasma data, or vice versa. Pearson's coefficient, Lin's coefficient and the Bland-Altman analysis are appropriate to evaluate the concordance between DBS and plasma data from bridging studies. Percent recovery plots generated using the ex vivo blood:plasma ratio and the regression equations demonstrate the best approach for predicting plasma concentrations from DBS. Statistical analysis of bridging study data is needed to characterize the relationship or concordance between blood (DBS) and plasma. The outcomes also provide guidance on selecting the most appropriate approach to transform DBS data to plasma, or vice versa. However, the biological and statistical evidence must be weighed together when deciding if DBS is suitable for preclinical and/or clinical development.

Evaluation of dried blood spot (DBS) technology versus plasma analysis for the determination of MK-1775 by HILIC-MS/MS in support of clinical studies

The collection of human blood samples as dried blood spots (DBS) for the pharmacokinetic assessment of investigational drugs in clinical trials offers a number of advantages over conventional plasma sampling, namely, small sample volume, simplified sample handling, and cost-effective shipping and storage. The use of DBS coupled with liquid chromatography-tandem mass spectrometry analysis was evaluated for the quantification of MK-1775, a Wee-1 inhibitor under development as a chemo/radio-sensitizer for the treatment of cancer. The DBS method exhibited an assay performance comparable to that of the existing plasma assay, which is currently used in support of clinical studies. Both assays used the same linear dynamic range of 2-1,000 ng/mL, with a lower limit of quantification of 2 ng/mL. Based on the intra-day assay validation results, the accuracy of the DBS method ranged from 94.0 to 105.0%, with a coefficient of variation of <4.8%. The blood-to-plasma ratio calculated from the DBS data (blood concentrations) and the plasma data (plasma concentrations) was in good agreement with the one obtained from the in vitro assessment using conventional methodology. No significant hematocrit impact on the assay was observed as hematocrit ranged from 16 to 85%. The correlation between the measured MK-1775 concentrations in plasma and that determined in dried blood spots from oncology patients during the ongoing clinical study was discussed.

A Bioanalytical Strategy Utilizing Dried Blood Spot Sampling And Lc–MS/MS in Discovery Toxicology Studies

The small sample volumes characteristic to dried blood spot (DBS) sampling enabled us to right-shift the linear dynamic range of an LC-MS/MS plasma assay tenfold and eliminate the need for extensive sample dilution in support of three discovery toxicology studies in which both plasma and DBS samples were collected. With the right-shifted DBS assay range, no DBS study samples required dilution, while all of the plasma samples were diluted 5-50-fold. DBS standard curves from 78-80,000 nM were linear, the performance of the curve and QC samples was within acceptable discovery-assay criteria and individual plasma and DBS data were comparable. Linear correlations of C(max) and AUC derived from DBS and plasma data resulted in R(2) > 0.9. This bioanalytical strategy represents a benefit to the bioanalyst that can expedite the return of data and minimize the potential for error and variability that can result from extensive dilutions of study samples.

Rapid and sensitive LC–MS/MS method for the analysis of antibiotic linezolid on dried blood spot

Linezolid is a new drug from the oxazolidinone class of antibiotics used against mycobacteria and multi-drug resistant (MDR) Gram-positive bacterial infections, which may are also glycopeptide-resistant. The drug usage in pediatric age needs an accurate drug monitoring for effective patient management. The aim of this study was to evaluate the use of dried blood spot (DBS) specimens to determinate linezolid levels during treatment. Advantages of DBS include short collection time, low invasiveness, ease and low cost of sample collection, transport and storage. The analysis was performed in LC-MS/MS operating in positive ion mode and multiple reaction monitoring (MRM) mode. The calibration curve in matrix was linear in the concentration range of 1-100 mg/L with correlation coefficient value of 0.9987. Intraday and interday coefficients of variation were within 3.6% and 13.0%, respectively. We also tested the thermal and temporal drug stability in dried blood spots at four different temperatures to evaluate the risks of sample delivery in different conditions. The short term stability studies showed that linezolid concentration remained stable for at least one month under all the conditions tested. This new assay has favorable characteristics being highly precise and accurate and allows a fast linezolid analysis with a total run time 22 min long, in gradient analysis. Concentration data for plasma and DBS samples from patients after treatment were compared showing a good correlation. Correlation between DBS data and serum samples measured by HPLC-UV was satisfactory. The benefit for patients is the ability to monitor the treatment with a simple and convenient sample collection at home.