Comparative study of the commonly used protein quantitation assays on different Hymenoptera venoms: A fundamental aspect of Hymenoptera venom proteome analysis.

Determination of protein concentration in Hymenoptera venoms requires an accurate and reproducible assay as the results will be used to support subsequent proteomic techniques employed in their analyses. However, all protein assay techniques have inherent strengths and weaknesses, demanding their assessment before selecting the most suitable platform for sample analysis. In this study, protein profiles of ant, honeybee, and wasp venoms, and bovine serum albumin (BSA) and hyaluronidase standards were qualitatively assessed using sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE). Their amino acid and protein concentration were quantitatively determined via Amino Acid Analysis (AAA). Amino acid concentration was determined via hydrolysis, derivatization, and chromatographic quantification. Protein concentration was estimated using four different protein concentration assays. The ratios of protein concentration in venom samples to protein standards were calculated, and the accuracy of the protein concentration assays was analysed relative to the concentration determined from AAA. SDS-PAGE analysis showed that BSA contained several protein bands, while hyaluronidase contained a mixture of peptide and protein bands. Ant and honeybee venoms contained a higher proportion of peptide bands, while wasp venom contained more protein bands. As determined by AAA, the ratio of protein concentration in Hymenoptera venoms varied between 1.01 and 1.11 to BSA, and between 0.96 and 1.06 to hyaluronidase. Overall, the Bradford assay was found to be the least accurate and the BCA assay was the most accurate in estimating protein concentration in Hymenoptera venoms. There was no significant advantage in using hyaluronidase as a standard or increasing incubation temperature of BCA assay when analysing Hymenoptera venoms. Diluent solutions containing phenol and human serum albumin interfered with Lowry-based assays.

Validation of the Randox colorimetric assays for serum copper and zinc.

BACKGROUND: Serum copper and zinc are measured to assess deficiency and toxicity. Atomic absorption spectrophotometry and mass spectrometry methods are expensive and require highly trained staff. Colorimetric assays are available from Randox which are inexpensive and can be automated. We validated serum copper and zinc colorimetric assays on the Binding Site Optilite analyser including comparison with flame atomic absorption spectrophotometry (FAAS) and inductively coupled plasma-mass spectrometry (ICP-MS). METHODS: Accuracy, imprecision, lower limit of quantitation, and linearity were ascertained. The impact of triglycerides, bilirubin, nickel, and iron on assay performance was also investigated. Comparison of results from colorimetric analysis of patient and external quality assurance samples with those obtained by FAAS and ICP-MS was undertaken. RESULTS: Intra-, and inter-assay imprecision was <9%. Serum copper and zinc assays were linear between 1.8-35.6 and 2.3-45.7 µmol/L, respectively. Agreement was good between colorimetry and FAAS (intercept = -0.7, slope = 1.04) and ICP-MS (intercept = 0.6, slope = 0.99) for serum copper in patients' samples. For serum zinc, agreement was poor between colorimetry and FAAS (intercept = 2.2, slope = 0.87) and ICP-MS (intercept = 1.9, slope = 0.98) in patients' samples. There was a poor concordance in assessment of hypozincaemia between colorimetry and FAAS/ICP-MS. CONCLUSION: The Randox colorimetric assay for serum copper on the Optilite is simple to perform, has a short analysis time, and measured concentrations compare well with FAAS and ICP-MS. Due to poor agreement with FAAS and ICP-MS, colorimetry is not suitable for the measurement of serum zinc.

Verification of the Bühlmann fPELA turbo faecal elastase assay on the Binding Site Optilite benchtop analyser.

BACKGROUND: Pancreatic elastase-1 (PE1) can be measured to assess exocrine activity of the pancreas. A semi-automated particle-enhanced, open-channel turbidimetric immunoassay has been introduced by Bühlmann (fPELA turbo, Bühlmann Laboratories AG, Schoenenbuch, Switzerland). Published evaluation data is lacking. We therefore verified performance of the assay on the Binding Site Optilite benchtop analyser and undertook a sample comparison with the DiaSorin PE1 assay on the Liaison. METHODS: Accuracy, imprecision, lower limit of quantitation (LLoQ) and linearity of the Bühlmann fPELA turbo assay on the Binding Site Optilite analyser was ascertained. Comparison with the DiaSorin Liaison PE1 assay was also undertaken. Difference between assays was evaluated using the Wilcoxon signed-rank test and method comparison was undertaken using Spearman's rank correlation (rs), Bland-Altman and Passing-Bablok regression analyses. RESULTS: The fPELA turbo assay was linear between 5 and 2500 µg/g. The LLoQ was 5 µg/g. Intra- and inter-assay imprecision was <6%. There was a good agreement (rs = 0.92) and no significant bias (5.8 µg/g, P = 0.29) present between the Bühlmann fPELA turbo and DiaSorin PE1 assays. CONCLUSION: The Bühlmann fPELA turbo assay performs well on the Binding Site Optilite analyser. Faecal elastase results are commutable between with Bühlmann fPELA turbo and DiaSorin Liaison PE1 assays.

Ultra-fast LC-MS/MS in therapeutic drug monitoring: Quantification of clozapine and norclozapine in human plasma.

A novel approach to high-throughput, targeted liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis has been developed. A single chromatographic system can be used for the analysis of a range of 20 drugs and metabolites with a total analysis time of 36 s (one 96-well plate of prepared samples per hour). To demonstrate the applicability of this approach to quantitative analysis, a method has been validated for the therapeutic drug monitoring of clozapine and norclozapine following automated extraction from human plasma. Chromatographic retention times were 11.4 and 12.4 s for norclozapine and clozapine, respectively (for both analytes the chromatographic peak width was less than 1 s). Comparison with a conventional LC-MS/MS method (5 min analysis time) showed excellent agreement. This new approach offers analysis times more akin to flow-injection analysis, but is likely to be more widely applicable because of chromatographic resolution from residual matrix components and isobaric interferences.

Automated Analysis of Clozapine and Norclozapine in Human Plasma Using Novel Extraction Plate Technology and Flow-Injection Tandem Mass Spectrometry.

BACKGROUND: Analysis of plasma clozapine and N-desmethylclozapine (norclozapine) for therapeutic drug monitoring purposes is well established. To minimize analysis times and facilitate rapid reporting of results, we have fully automated sample preparation using novel AC Extraction Plates and a Tecan Freedom EVO 100 liquid handling platform, and minimized extract analysis times using flow-injection tandem mass spectrometry (FIA-MS/MS). METHODS: Analytes and deuterium-labeled internal standards were extracted from plasma (100 µL) at pH 10.6 and extracts analyzed directly using tandem mass spectrometry [20 µL injection, 0.7 mL/min methanol carrier flow, analysis time (injection-to-injection) approximately 60 seconds]. RESULTS: Validation data showed excellent intraplate and interplate accuracy (95%-104% nominal concentrations). Interbatch precision (% RSD) at the limit of quantitation (0.01 mg/L) was 3.5% and 5.5% for clozapine and norclozapine, respectively. Matrix effects were observed for both clozapine and norclozapine, but were compensated for by the internal standards. Overall process efficiency was 56%-70% and 66%-77% for clozapine and norclozapine, respectively. Mean relative process efficiency was 98% and 99% for clozapine and norclozapine, respectively. Comparison of results from patient samples (n = 81) analyzed using (1) manual liquid-liquid extraction with liquid chromatography-tandem mass spectrometry (LC-MS/MS) and (2) automated extraction with FIA-MS/MS gave y = 1.01x - 0.002, R(2) = 0.9943 and y = 1.01x + 0.009, R(2) = 0.9957 for clozapine and norclozapine, respectively. Bland-Altman plots revealed a [mean (95% limits of agreement) bias of 0.0074 (-0.04 to 0.06) mg/L and of 0.015 (-0.02 to 0.05) mg/L for clozapine and norclozapine, respectively]. CONCLUSIONS: FIA-MS/MS used with automated extraction offers a rapid, simple, cost-effective alternative to manual liquid-liquid extraction and conventional LC analysis for clozapine therapeutic drug monitoring.

A novel approach to quantitative LC-MS/MS: therapeutic drug monitoring of clozapine and norclozapine using isotopic internal calibration.

Therapeutic drug monitoring (TDM) requires timely results in order to be clinically helpful. Such assays, when carried out using mass spectrometry-based methods, typically involve a batched sample approach with multipoint calibration. Isotopic internal calibration offers the possibility of open-access mass spectrometric analysis with consequent shortening of turnaround times. We measured plasma clozapine and N-desmethylclozapine (norclozapine) concentrations in (1) external quality assessment (EQA) samples (N = 22) and (2) patient samples (N = 100) using liquid chromatography-tandem mass spectrometry with isotopic internal calibration (ICAL-LC-MS/MS). Analyte concentrations were calculated from graphs of the response of three internal calibrators (clozapine-D4, norclozapine-D8, and clozapine-D8) against concentration. Precision (% RSD) and accuracy (% nominal concentrations) for the ICAL-LC-MS/MS method were <5 % and 104-112 %, respectively for both analytes. There was excellent agreement with consensus mean and with 'spiked' values on analysis of the EQA samples (R (2) = 0.98 and 0.97, respectively, inclusive of clozapine and norclozapine results). In the patient samples, comparison against traditionally calibrated HPLC-UV and LC-MS/MS methods showed excellent agreement (R (2) = 0.97 or better) with small albeit significant mean differences (<0.041 and <0.042 mg/L for clozapine and norclozapine, respectively). These differences probably reflect discrepancies in the in-house preparation of calibrators and/or interference in the UV method. Internal calibration offers a novel and attractive alternative to traditionally calibrated batch analysis in analytical toxicology. The method described has been validated for use in the high-throughput TDM of clozapine and norclozapine, and allows for (1) same-day reporting of results and (2) significant cost savings.

Plasma quetiapine in relation to prescribed dose and other factors: data from a therapeutic drug monitoring service, 2000-2011.

OBJECTIVE: Suggested predose plasma quetiapine target ranges for effective therapy in schizophrenia lie between 50 and 500 µg/l. We aimed to examine data from a quetiapine therapeutic drug monitoring (TDM) service to assess the plasma quetiapine concentrations attained at specified doses in clinical practice. METHOD: We studied TDM data from patients given immediate-release quetiapine in the period 2000-2011. RESULTS: There were 946 samples from 487 patients (257 males, age at time of first sample, median [range] 34 [14-87] years, and 230 females, age at time of first sample, median [range] 38 [10-92] years). The plasma quetiapine concentration was <50 and <100 µg/l in 30% and 50% of samples, respectively (no quetiapine detected in 9% of samples). The relationship between dose and plasma quetiapine was poor. The mean (95% confidence interval [CI]) quetiapine dose was higher (t = 3.6, df = 446, p <0.01) in males versus females (641 [600-1240] and 548 [600-943] mg/day, respectively), although there was no difference in median dose (600 mg/day) or in the mean (95% CI) plasma quetiapine concentrations attained. Smoking habit had no discernible effect on plasma quetiapine concentration. CONCLUSIONS: There was a poor relationship between dose and plasma quetiapine concentration in this study, as found by others. This is probably because of the short plasma half-life of the drug, at least in part. Nevertheless, quetiapine TDM can help assess adherence and measurement of quetiapine metabolites, notably N-desalkylquetiapine, as well as quetiapine itself may enhance the value of quetiapine TDM in future.

Stability of some atypical antipsychotics in human plasma, haemolysed whole blood, oral fluid, human serum and calf serum.

Long-term stability data of atypical antipsychotics in different matrices are not widely available. The aim of this work was to assess the stability of amisulpride, aripiprazole and dehydroaripiprazole, clozapine and norclozapine, olanzapine, quetiapine, risperidone and 9-hydroxyrisperidone, and sulpiride in human EDTA plasma, heparinised haemolysed human whole blood, oral fluid, human serum, and newborn calf serum stored in tightly capped plastic containers under a range of conditions. Measurements were performed by LC-MS/MS. Analyte instability was defined as a deviation of 15% or greater from the expected concentration. All analytes were stable following 3 freeze-thaw cycles in human plasma, and were stable in this matrix for at least 5 days at ambient temperature (olanzapine, 3 days); 4 weeks at 2-8°C (olanzapine, 2 weeks), and 2 years at -20°C (except for dehydroaripiprazole, olanzapine, and quetiapine, 1 year). In human serum, aripiprazole, dehydroaripiprazole, norclozapine, olanzapine, quetiapine, risperidone, 9-hydroxyrisperidone, and sulpiride were unstable after 5 days at ambient temperature, 3 weeks at 2-8°C, and 9 months at -20°C. Olanzapine was unstable in whole blood and oral fluid under most conditions studied, although prior addition of ascorbic acid had a moderate stabilising effect. All other analytes were stable in whole blood and oral fluid for at least 2 days at ambient temperature, 1 week at 2-8°C, and 2 months at -20°C (clozapine and norclozapine, 1 month whole blood). These results confirm that plasma (EDTA anticoagulant) is the sample of choice for TDM of atypical antipsychotics. Delayed (more than 1 week) analysis of patient samples should be undertaken with caution, especially with serum and with haemolysed whole blood. With olanzapine, only plasma collected and stored appropriately is likely to give reliable quantitative results.

LC-MS/MS of some atypical antipsychotics in human plasma, serum, oral fluid and haemolysed whole blood.

Therapeutic drug monitoring (TDM) of atypical antipsychotics is common, but published methods often specify relatively complex sample preparation and analysis procedures. The aim of this work was to develop and validate a simple liquid chromatography-tandem mass spectrometry (LC-MS/MS) method for the analysis of amisulpride, aripiprazole and dehydroaripiprazole, clozapine and norclozapine, olanzapine, quetiapine, risperidone and 9-hydroxyrisperidone, and sulpiride in small (200 µL) volumes of plasma or serum for TDM purposes. The applicability of the method as developed to haemolysed whole blood and to oral fluid was also investigated. Analytes and internal standards were extracted into butyl acetate:butanol (9+1, v/v) and a portion of the extract analysed by LC-MS/MS (100 mm × 2.1 mm i.d. Waters Spherisorb S5SCX; eluent: 50 mmol/L methanolic ammonium acetate, pH* 6.0; flow-rate 0.5 mL/min; positive ion APCI-SRM, two transitions per analyte). Assay calibration (human plasma, oral fluid, and haemolysed whole blood calibration solutions) was performed by plotting the ratio of the peak area of the analyte to that of the appropriate internal standard. Assay validation was as per FDA guidelines. Assay calibration was linear across the concentration ranges studied. Inter- and intra-assay precision and accuracy were within 10% for all analytes in human plasma. Similar results were obtained for oral fluid and haemolysed whole blood, except that aripiprazole and dehydroaripiprazole were within 15% accuracy at low concentration (15 µg/L) in oral fluid, and olanzapine inter-assay precision could not be assessed in these matrices due to day-by-day degradation of this analyte. Recoveries varied between 16% (sulpiride) and 107% (clozapine), and were reproducible as well as comparable between human plasma, human serum, calf serum and haemolysed whole blood. For oral fluid, recoveries were reproducible, but differed slightly from those in plasma suggesting the need for calibration solutions to be prepared in this medium if oral fluid is to be analysed. LLOQs were 1-5 µg/L depending on the analyte. Neither ion suppression/enhancement, nor interference from some known metabolites of the antipsychotics studied has been encountered. The method has also been applied to the analysis of blood samples collected post-mortem after dilution (1+1, 1+3; v/v) in analyte-free calf serum.

Plasma amisulpride in relation to prescribed dose, clozapine augmentation, and other factors: data from a therapeutic drug monitoring service, 2002-2010.

OBJECTIVE: This study aimed to investigate the effect of dose and other factors on plasma amisulpride concentrations in clinical practice. METHOD: Amisulpride therapeutic drug monitoring data 2002-2010 have been studied. RESULTS: There were 296 samples (196 adult patients). Amisulpride was not detected in 10% of samples. In the remainder, the mean plasma amisulpride in relation to the prescribed dose (mg/day) was as follows: 100-200 (111 µg/L), 201-400 (254 µg/L), 400-800 (421 µg/L), and 800-1200 (494 µg/L). For prescribed doses up to 800 mg/day, only 51% of results were within 100-319 µg/L. There were no significant sex differences in mean plasma amisulpride or mean dose. The mean plasma amisulpride, but not the dose, was significantly higher in smokers. Linear regression analysis showed that dose explained only 42% of the variation in plasma amisulpride after log(10) transformation of both variables. There was no significant difference in the mean dose or mean plasma amisulpride in patients co-prescribed clozapine as compared with the remaining samples. CONCLUSION: In practice, dose is a poor predictor of plasma amisulpride concentration. Therapeutic drug monitoring may not only help assess adherence, but also guide dosage.

Plasma concentrations of quetiapine, N-desalkylquetiapine, o-desalkylquetiapine, 7-hydroxyquetiapine, and quetiapine sulfoxide in relation to quetiapine dose, formulation, and other factors.

BACKGROUND: N-Desalkylquetiapine may be a pharmacologically active quetiapine metabolite. However, information on plasma concentrations of N-desalkylquetiapine and other quetiapine metabolites attained during quetiapine therapy is scant. The aim of this study was to investigate plasma concentrations of quetiapine, N-desalkylquetiapine, O-desalkylquetiapine, 7-hydroxyquetiapine, and quetiapine sulfoxide attained during therapy and analyze the data with respect to prescribed dose and other variables. METHOD: Quetiapine and its metabolites were measured in plasma samples submitted for quetiapine therapeutic drug monitoring (2009-2011). Concentration, metabolic ratio, and concentration corrected for dose (C/D) were investigated against quetiapine dose, age, sex, and formulation. Sample results were excluded if nonadherence with therapy was queried. RESULTS: There were 99 samples from 59 patients. N-Desalkylquetiapine plasma concentrations showed the strongest correlation with dose of all analytes, but O-desalkylquetiapine and quetiapine sulfoxide were strongly correlated to plasma quetiapine concentrations. There was no significant difference in C/D for any analyte between males and females and no correlation to age. Quetiapine and quetiapine sulfoxide C/D were significantly different (P < 0.01) between patients prescribed immediate- and extended-release formulations. Quetiapine, 7-hydroxyquetiapine and quetiapine sulfoxide C/D showed significant variation (P < 0.02) between those samples taken 10-14 hours postdose as compared with that of 16-24 hours postdose, but there was no significant effect as regards N-desalkylquetiapine. CONCLUSIONS: Plasma quetiapine, O-desalkylquetiapine, 7-hydroxyquetiapine, and quetiapine sulfoxide concentrations were significantly affected by formulation and/or time since last dose. Plasma N-desalkylquetiapine concentrations were not affected by either factor therefore may be a better marker for quetiapine exposure than plasma quetiapine concentrations.

Risperidone and total 9-hydroxyrisperidone in relation to prescribed dose and other factors: data from a therapeutic drug monitoring service, 2002-2010.

BACKGROUND: Information on the plasma risperidone and total 9-hydroxyrisperidone concentrations ('total risperidone') attained in clinical practice is scant. The aim of this work was to gather such information to better inform the interpretation of results. METHOD: This involved the audit of plasma total risperidone data from a risperidone therapeutic drug monitoring service 2002-2010. RESULTS: There were 586 samples from 411 patients [289 (70%) males aged at the time of the first sample (median, range) 37 (7-83) years and 121 females aged 42 (10-91) years]. In patients aged 18 years and over, the mode of risperidone administration was oral: 242 samples (163 patients), risperidone long-acting injection (RLAI): 42 samples (39 patients), both oral and RLAI: 18 samples (12 patients), no information: 266 samples (211 patients). No risperidone/9-hydroxyrisperidone was detected in 10% of the samples, including 5 samples from patients prescribed RLAI. In the remainder, the mean (SD) total plasma total risperidone was all samples 35 (36), oral only 33 (29), RLAI only 23 (16), oral and RLAI 50 (21) µg/L. Overall, only 45% of the samples had plasma total risperidone within the range 20-59 mcg/L. Multiple linear regression analysis (95 samples) revealed that sex, smoking habit, and dose explained 21% of the variation in plasma total risperidone after oral dosage (dose alone only explained 11% of the variation). There was no discernable influence of age, body weight, and the plasma risperidone:total 9-hydroxyrisperidone ratio on plasma total risperidone. CONCLUSIONS: Risperidone therapeutic drug monitoring can help assess adherence and guide dosage even after RLAI.

Measurement of quetiapine and four quetiapine metabolites in human plasma by LC-MS/MS.

There is interest in monitoring plasma concentrations of N-desalkylquetiapine in relation to antidepressant effect. A simple LC-MS/MS method for quetiapine and four metabolites in human plasma (50 µL) has been developed to measure concentrations of these compounds attained during therapy. Analytes and internal standard (quetiapine-d8) were extracted into butyl acetate-butanol (10:1, v/v) and a portion of the extract analysed by LC-MS/MS (100 × 2.1 mm i.d. Waters Spherisorb S5SCX; eluent: 50 mmol/L methanolic ammonium acetate, pH* 6.0; flow-rate 0.5 mL/min; positive ion APCI-SRM, two transitions per analyte). Assay calibration (human plasma calibrators) was linear across the ranges studied (quetiapine and N-desalkylquetiapine 5-800, quetiapine sulfoxide 100-15,000, others 2-100 µg/L). Assay validation was as per FDA guidelines. Quetiapine sulfone was found to be unstable and to degrade to quetiapine sulfoxide. In 47 plasma samples from patients prescribed quetiapine (prescribed dose 200-950 mg/day), the (median, range) concentrations found (µg/L) were: quetiapine 83 (7-748), N-desalkylquetiapine, 127 (7-329), O-desalkylquetiapine 12 (2-37), 7-hydroxyquetiapine 3 (<1-48), and quetiapine sulfoxide 3,379 (343-21,704). The analyte concentrations found were comparable to those reported by others except that the concentrations of the sulfoxide were markedly higher. The reason for this discrepancy in unclear.

Improving CPR performance using an audible feedback system suitable for incorporation into an automated external defibrillator.

BACKGROUND: It has been shown that a computer-based audible feedback system can improve acquisition and retention of basic life support (BLS) skills. This system is being developed to work in association with an automated external defibrillator (AED). AIM: To determine if such a feedback system is likely to improve the quality of CPR performed by trained nurses whilst using an AED. METHOD: Thirty-six general nurses performed 3 min of BLS on a manikin connected to a laptop computer running an experimental software program. After initial testing they were randomly allocated to control or 'feedback' groups. Both groups then performed a further 3 min of BLS, but those in the feedback group received audible corrective instructions from the computer when errors of technique were detected. RESULTS: The group receiving feedback were significantly better than the control group at performing inflations (P=0.004) and achieving the correct depth of chest compression (P<0.0005). CONCLUSIONS: The results suggest that if the feedback system were to be incorporated into an AED, it could lead to better performance of CPR during a resuscitation attempt.