The preanalytical stability of emerging cannabinoid analogs (delta-8 THC and its metabolites, delta-10 THC and carboxy-HHC) in urine.

There has been a surge in the presence and use of cannabinoids since the federal legalization of hemp (Agricultural Improvement Act of 2018). This increase is attributed not only to the use of ∆9-tetrahydrocannabinol (∆9-THC) and cannabidiol, the most abundant phytocannabinoid components of cannabis and hemp, respectively, but also to the use of many other emerging THC analogs. Structurally, these analogs are similar to ∆9-THC. Urine specimens for drug analysis are often collected offsite and transported to a laboratory for analysis. Screening assays are usually the first step in urine drug testing. These assays are usually qualitative and automated, which for negative specimens, reduce cost and reporting time. The stability of ∆9-THC and its metabolites has been known for some time; however, the stability of emerging analogs has not been elucidated, and therefore, assuming equivalent storage stability can be erroneous. Previous work assessed the cross-reactivity of ∆8-THC and its major metabolites, the ∆10-THC chiral analogs and the chiral 11-COOH-hexahydrocannabinol analogs. Stability was assessed for each analyte at a concentration two times greater than the analytes' determined decision point. Samples were prepared in drug-free urine at three different pHs (4.5, 7 and 9) and stored at three different temperatures (4°C, 20°C and 45°C) in triplicate. Samples were analyzed utilizing the Lin-Zhi International Cannabinoids Enzyme Immunoassay cannabinoid screening kit calibrated at the 25 ng/mL cut-off. Overall, the cannabinoid analogs produced diminishing instrument responses depending on pH and temperature. The parent analogs were not detected after a single day at 45°C regardless of pH. In general, carboxylic acid analogs at the acidic pH (4.5) produced diminished instrument responses when compared to their counterparts stored at neutral (7) and basic (9) pH. The time, storage temperature and pH of urine specimens may affect the screening results of specimens collected for cannabinoid drug screening.

The cross-reactivity of cannabinoid analogs (delta-8-THC, delta-10-THC and CBD), their metabolites and chiral carboxy HHC metabolites in urine of six commercially available homogeneous immunoassays.

There has been an exponential surge in the presence and use of cannabinoids since the federal legalization of hemp (Agricultural Improvement Act of 2018). This growth is attributed to delta-9-tetrahydrocannabinol (delta-9-THC) and cannabidiol (CBD), the most abundant phytocannabinoid components of cannabis and hemp, respectively, but with many other emerging THC analogs. Structurally, these analogs are similar to delta-9-THC, yet very little information is available about their potency and even less information is available regarding their detectability using commercially available cannabinoid screening kits. Due to their structural similarity, current cannabinoid homogeneous immunoassay screening methods may be able to detect these emerging cannabinoid analogs and their metabolites. Six urine immunoassay kits (Abbott Cannabinoids-Abbott Diagnostics, LZI Cannabinoids (cTHC) Enzyme Immunoassay-Lin-Zhi International, DRI® Cannabinoid Assay and CEDIA™ THC-Thermo Fisher Scientific, ONLINE DAT Cannabinoid II-Roche Diagnostics and Syva EMIT®II Plus-Siemens Healthineers) were evaluated at two different cutoff concentrations: 50 ng/mL and 20 or 25 ng/mL, assay dependent. The analysis was performed on an Abbott Architect Plus c4000 (Abbott Diagnostics). Delta-8-THC, CBD, olivetol and their major metabolites, and delta-10-THC and HHC carboxylic acid chiral analogs were evaluated. The cross-reactivity was evaluated by preparing each analyte at 20, 50, 100 and 1,000 ng/mL in urine. Analytes that did not cross-react at 1,000 ng/mL for a cutoff were considered not detectable. If detected, the lowest concentration was used as the decision point to determine the precision at the immunoassay's cutoff. The six commercially available urine cannabinoid homogeneous immunoassay screening kits cross reacted with the following analogs: delta-8-THC, 11-OH-delta-8-THC, 11-COOH-delta-8-THC, 6-OH-CBD, 7-OH-CBD, all delta-10-THC and HHC carboxylic acid chiral analogs and olivetol with varying selectivity depending on the screening kit and cutoff concentration. The kits did not cross-react with the following analogs: CBD, 7-COOH-CBD, Abnormal CBD, CBDA-A and olivetolic acid.

Evaluation of Strontium Interference in Calcium Measurement Procedures and Content in Supplements as Measured by ICP-MS.

BACKGROUND: Bone health supplements containing strontium are available without prescription, however, the effects of strontium interference on clinical laboratory calcium measurement procedures are unknown. METHODS: To evaluate strontium interference on total calcium measurements, plasma pools with exogenously added strontium were measured by 3 total calcium measurement procedures. For ionized calcium measurements, whole blood pools prepared with exogenously added strontium were measured by 2 ionized calcium measurement procedures. An inductively coupled plasma mass spectrometry assay (ICP-MS) was validated for research measurements of strontium content in commercially available supplements. RESULTS: Exogenous strontium addition to plasma caused positive bias for total calcium measurements. Strontium concentrations of 1.0 mg/dL (0.114 mmol/L), 2.5 mg/dL (0.284 mmol/L), and 5.0 mg/Dl (0.568 mmol/L) resulted in mean biases of 1.9% to 3.5%, 4.9% to 9.0%, and 10.8% to 19.2%, respectively, for total calcium measurement procedures. Biases for ionized calcium measurements were less than 4.5% for a strontium concentration of 5.0 mg/dL (0.568 mmol/L). An in-house-developed ICP-MS assay for strontium in commercially available supplements exhibited within-laboratory and within-run coefficients of variation of less than 3%, and a linear response was obtained over the assay analytical measurement range of 10 to 100 000 ng/mL (0.0001 to 1.141 mmol/L). Strontium recovery for the ICP-MS assay was 97.1% to 105.3%. The largest amount of strontium measured in dietary supplements was 395 mg in a 1054 mg tablet. CONCLUSIONS: Some dietary supplements contain larger amounts of strontium than indicated on the product label. High concentrations of strontium may cause significant interference for total calcium measurement procedures, but ionized calcium measurement procedures are not significantly affected.

Detection of 58 fentanyl analogs using ARK fentanyl II and Immunalysis fentanyl immunoassays.

OBJECTIVES: The ability to detect fentanyl analogs in urine aids in patient management. Little is published about the new ARK™ Fentanyl II Assay formulation's ability to detect fentanyl analogs. Norfentanyl (fentanyl metabolite) cross-reactivity with the ARK II assays is 7%, while the Immunalysis SEFRIA assay norfentanyl cross-reactivity is approximately 0.005%. The purpose of this study was to determine the new ARK II and SEFRIA fentanyl assays' detection of 58 fentanyl analogs. DESIGN & METHODS: Drug-free urine was fortified with 0-100 ng/mL (0-0.297 µmol/L) of the fentanyl analog and analyzed using the previously evaluated immunoassays. Results were compared to molecular structure. Of the 58 analogs tested at ≤ 100 ng/mL (0-0.297 µmol/L), the ARK II and SEFRIA assays produced 51 and 57 positive results respectively. The cross-reactivity of the assay was predominantly determined by the location of the modification. Most modifications to the aniline ring and/or amide group did not affect the ARK II or SEFRIA assay. Modifications to the piperidine ring decreased detection by ARK II assay. Of the 7 compounds which were undetected by the ARK II assay, all had modifications to the N-alkyl chain. Norsufentanil was not detected by either assay and was the only analog not detected by the SEFRIA assay. CONCLUSIONS: The ARK II and Immunalysis fentanyl immunoassays can detect a range of fentanyl analogs with acryl, butyryl, or furanyl modifications to the amide group or aniline ring of the molecule. N-alkyl chain and piperidine ring modifications significantly affect the ARK II assay's ability to detect the analogs, while the SEFRIA assay appeared less affected and detected all analogs tested except for norsufentanil, which was also not detected by the ARK II assay.

Potential Impact of Pharmacogenomic Single Nucleotide Variants in a Rural Caucasian Population.

BACKGROUND: In the US adverse drug reactions (ADRs) are estimated to cause 100 000 fatalities and cost over $136 billion annually. A patient's genes play a significant role in their response to a drug. Pharmacogenomics aims to optimize drug choice and dose for individual patients by characterizing patients' pharmacologically relevant genes to identify variants of known impact. METHODS: DNA was extracted from randomly selected remnant whole blood samples from Caucasian patients with previously performed complete blood counts. Samples were genotyped by mass spectrometry using a customized pharmacogenomics panel. A third-party result interpretation service used genotypic results to predict likely individual responses to frequently prescribed drugs. RESULTS: Complete genotypic and phenotypic calls for all tested Cytochrome P450 isoenzymes and other genes were obtained from 152 DNA samples. Of these 152 unique genomic DNA samples, 140 had genetic variants suggesting dose adjustment for at least one drug. Cardiovascular and psychiatry drugs had the highest number of recommendations, which included United States Food and Drug Administration warnings for highly prescribed drugs metabolized by CYP2C19, CYP2C9, CYP2D6, HLA-A, and VKORC1. CONCLUSIONS: Risk for each drug:gene pairing primarily depends upon the degree of predicted enzyme impairment or activation, width of the therapeutic window, and whether parent compound or metabolite is pharmacologically active. The resulting metabolic variations range from risk of toxicity to therapeutic failure. Pharmacogenomic profiling likely reduces ADR potential by allowing up front drug/dose selection to fit a patient's unique drug-response profile.

Clinical Validation of a 106-SNV MALDI-ToF MS Pharmacogenomic Panel.

BACKGROUND: Laboratorians have the opportunity to help minimize the frequency of adverse drug reactions by implementing pharmacogenomic testing and alerting care providers to possible patient/drug incompatibilities before drug treatment is initiated. Methods combining PCR with MALDI-ToF MS have allowed for sensitive, economical, and multiplexed pharmacogenomic testing results to be delivered in a timely fashion. METHOD: This study evaluated the analytical performance of the Agena Biosciences iPLEX® PGx 74 panel and a custom iPLEX panel on a MassARRAY MALDI-TOF MS instrument in a clinical laboratory setting. Collectively, these panels evaluate 112 SNVs across 34 genes implicated in drug response. Using commercially available samples (Coriell Biorepository) and in-house extracted DNA, we determined ideal reaction conditions and assessed accuracy, precision, and robustness. RESULTS: Following protocol optimization, the Agena PGx74 and custom panels demonstrated 100% concordance with the 1000 Genomes Project Database and clinically validated hydrolysis probe genotyping assays. 100% concordance was also observed in all assessments of assay precision when appropriate QC metrics were applied. CONCLUSIONS: Significant development time was required to optimize sample preparation and instrumental analysis and 3 assays were removed due to inconsistent performance. Following modification of the manufacturer's protocol and instituting manual review of each assay plate, the Agena PGx74 and custom panel constitute a cost-effective, robust, and accurate method for clinical identification of 106 SNVs involved in drug response.

Assessment of biotin interference with qualitative point-of-care hCG test devices.

Biotin is commonly used as a dietary supplement for the claimed benefits of promoting healthy hair and nail growth and is available without a prescription at doses up to 10mg/capsule. Biotin-mediated interference in immunoassay testing is an emerging issue for clinical laboratories and previous studies have indicated that biotin at regularly encountered doses may interfere with these assays. In this study, we evaluated the effect of supplemental biotin on seven POC urine hCG test devices using purified biotin and urine collected from four volunteers consuming 10mg biotin/day. Six of the seven devices showed no evidence of biotin interference as each device's control line remained clearly detectable at all biotin concentrations tested. However, the QuickVue device control line demonstrated a marked decrease in intensity when used to test solutions containing >5µg/mL biotin. The absence of a control line during patient testing has the potential to delay care due to the generation of an invalid test result and lead to additional unnecessary testing. It is not realistic to measure urinary biotin concentrations in every patient undergoing qualitative urine hCG testing but biotin supplementation should be considered if repeat testing on a patient sample generates an invalid test result.

Exploring G protein-coupled receptor signaling networks using SILAC-based phosphoproteomics.

The type 1 parathyroid hormone receptor (PTH1R) is a key regulator of calcium homeostasis and bone turnover. Here, we employed SILAC-based quantitative mass spectrometry and bioinformatic pathways analysis to examine global changes in protein phosphorylation following short-term stimulation of endogenously expressed PTH1R in osteoblastic cells in vitro. Following 5min exposure to the conventional agonist, PTH(1-34), we detected significant changes in the phosphorylation of 224 distinct proteins. Kinase substrate motif enrichment demonstrated that consensus motifs for PKA and CAMK2 were the most heavily upregulated within the phosphoproteome, while consensus motifs for mitogen-activated protein kinases were strongly downregulated. Signaling pathways analysis identified ERK1/2 and AKT as important nodal kinases in the downstream network and revealed strong regulation of small GTPases involved in cytoskeletal rearrangement, cell motility, and focal adhesion complex signaling. Our data illustrate the utility of quantitative mass spectrometry in measuring dynamic changes in protein phosphorylation following GPCR activation.