Simultaneous estimation of total homocysteine and methylmalonic-acid using LC-MS/MS: Clinical application in adult and pediatric.

Quantitative determination of biomarkers homocysteine (Hcy) and methylmalonic acid (MMA), the regulators of cobalamin (Cbl) and folate levels, together used as a biomarkers to diagnose chemical insufficiency/deficiency of Cbl and folate. We report simultaneous clinical estimation of total Hcy and MMA with efficient clean-up, sensitive and selective LC-MS/MS method. Efficient sample clean-up was achieved by a two-step extraction protocol with 100 µL serum. The validated method was applied to 893 clinical samples from 2 cohorts including pediatrics and mothers, respectively, for identifying their Cbl and folate status. The method shows excellent order of linearity for Hcy (22.2nM-3.7 µM) and MMA (42.34 nM - 5.92 µM), respectively. Complete method validation was performed where intraday-interday accuracy-precision and mean stability recovery data were found within ±15%. The validated method was extended for the quantification of serum total Hcy-MMA levels in clinical samples. The efficient extraction with negligible matrix-effect (ME) has reduced LC-MS/MS chocking and clean-up downtime. The rapid, sensitive and robust LC-MS/MS method has been successfully validated for simultaneous estimation of total Hcy and MMA using only 100 µL serum. The method was applicable to large number of clinical samples and was found to be good throughput with low contamination of mass detector, high sensitivity and selectivity.

Metabolomics-based phenotypic screens for evaluation of drug synergy via direct-infusion mass spectrometry.

Drugs used in combination can synergize to increase efficacy, decrease toxicity, and prevent drug resistance. While conventional high-throughput screens that rely on univariate data are incredibly valuable to identify promising drug candidates, phenotypic screening methodologies could be beneficial to provide deep insight into the molecular response of drug combination with a likelihood of improved clinical outcomes. We developed a high-content metabolomics drug screening platform using stable isotope-tracer direct-infusion mass spectrometry that informs an algorithm to determine synergy from multivariate phenomics data. Using a cancer drug library, we validated the drug screening, integrating isotope-enriched metabolomics data and computational data mining, on a panel of prostate cell lines and verified the synergy between CB-839 and docetaxel both in vitro (three-dimensional model) and in vivo. The proposed unbiased metabolomics screening platform can be used to rapidly generate phenotype-informed datasets and quantify synergy for combinatorial drug discovery.

Automated Trimethyl Sulfonium Hydroxide Derivatization Method for High-Throughput Fatty Acid Profiling by Gas Chromatography-Mass Spectrometry.

Fatty acid profiling on gas chromatography-mass spectrometry (GC-MS) platforms is typically performed offline by manually derivatizing and analyzing small batches of samples. A GC-MS system with a fully integrated robotic autosampler can significantly improve sample handling, standardize data collection, and reduce the total hands-on time required for sample analysis. In this study, we report an optimized high-throughput GC-MS-based methodology that utilizes trimethyl sulfonium hydroxide (TMSH) as a derivatization reagent to convert fatty acids into fatty acid methyl esters. An automated online derivatization method was developed, in which the robotic autosampler derivatizes each sample individually and injects it into the GC-MS system in a high-throughput manner. This study investigated the robustness of automated TMSH derivatization by comparing fatty acid standards and lipid extracts, derivatized manually in batches and online automatically from four biological matrices. Automated derivatization improved reproducibility in 19 of 33 fatty acid standards, with nearly half of the 33 confirmed fatty acids in biological samples demonstrating improved reproducibility when compared to manually derivatized samples. In summary, we show that the online TMSH-based derivatization methodology is ideal for high-throughput fatty acid analysis, allowing rapid and efficient fatty acid profiling, with reduced sample handling, faster data acquisition, and, ultimately, improved data reproducibility.

Application of HPLC for the simultaneous determination of aceclofenac, paracetamol and tramadol hydrochloride in pharmaceutical dosage form.

A simple, precise and accurate reversed-phase liquid chromatographic method has been developed for the simultaneous estimation of aceclofenac (ACF), paracetamol (PCM) and tramadol hydrochloride (TRM) in pharmaceutical dosage form. The chromatographic separation was achieved on a HiQ-Sil™ HS C18 column (250×4.6 mm i.d., 5 µm particle size), kromatek analytical column at ambient temperature. The mobile phase consisted of 40: 60 (v/v); phosphate buffer (pH 6.0): methanol. The flow rate was set to 1.0 mL min(-1) and UV detection was carried out at 270 nm. The retention time (t(R)) for ACF, PCM and TRM were found to be 14.567 ± 0.02, 3.133 ± 0.01 and 7.858 ± 0.02 min, respectively. The validation of the proposed method was carried out for linearity, precision, robustness, limit of detection, limit of quantitation, speci city, accuracy and system suitability. The linear dynamic ranges were from 40-160 µg mL(-1) for ACF, 130-520 µg mL(-1) for PCM and 15-60 µg mL(-1) for TRM. The developed method can be used for routine quality control analysis of titled drugs in pharmaceutical dosage form.