Early Therapeutic Drug Monitoring Optimizes Teicoplanin Use in Febrile Neutropenic Patients with Hematological Malignancies.

INTRODUCTION: A target trough concentration (Cmin) of teicoplanin ≥ 15-20 mg/L between the fourth and sixth day has been suggested for severe infections or management of febrile neutropenia (FN). Owing to no reports discussing the impact of early target attainment on treatment outcomes, this study aimed to evaluate the dose-Cmin relationship and clinical outcome and estimate the optimal early target Cmin for FN in patients with hematological malignancies. METHODS: This single-center, prospective study enrolled patients with hematological malignancies who were treated with teicoplanin either as an empirical antibiotic for FN or as targeted treatment for Gram-positive bacteria. Blood samples were collected on day three (48 h) post-loading doses, day 5 (96 h), and day 8 (when applicable) and determined by ultrahigh-pressure liquid chromatography-triple quadruple mass spectrometry. A total of 117 samples from 47 patients with FN (27 men, 20 women) were consecutively analyzed. A two-tailed α value of 0.05 was considered statistically significant. RESULTS: The mean Cmin values at 48 h, 96 h, and on day 8 were 23.4, 21.4, and 27.8 mg/L, respectively. The patients achieving Cmin ≥ 20 mg/L at 48 h had a higher likelihood of treatment success. The areas under the receiver operating characteristic curves were 0.71 for clinical efficacy and the cutoff value of Cmin at 48 h was 18.85 mg/L (95% confidence interval 0.55-0.87; P = 0.018). CONCLUSIONS: The Cmin of teicoplanin after completion of loading doses could predict the treatment response, with a target concentration ≥ 18.85 mg/L.

A comparative study of plasma and dried blood spot metabolomics and its application to diabetes mellitus.

Metabolomics has become a promising method for understanding pathological mechanisms. Plasma (PLS) is the most common sample type used for metabolomics studies, and dried blood spot (DBS) sampling has been regarded as a good strategy due to its unique characteristics. However, how results obtained from DBS can be correlated to results obtained from PLS remains unclear. To bridge the results and to investigate the feasibility of using DBS to study metabolomics, we performed a comparative study using 64 paired PLS and DBS samples. The number of features extracted from the two different sample types was investigated. The concentration correlations of the identified metabolites between the DBS and PLS were individually studied. Approximately 47 % showed a strong correlation, 19 % showed a moderate correlation, and 34 % showed a low or even negligible correlation. Finally, we applied both PLS- and DBS-based metabolomics to explore the dysregulated metabolites in diabetes mellitus (DM) patients. Thirty-two non-DM subjects and 32 DM patients were enrolled, and 2 significant metabolites were found in both PLS and DBS samples. In summary, detailed correlation information between PLS and DBS metabolites was first explored in this study, and it is anticipated that these results could facilitate future applications in DBS-based metabolomics.

Sequential isolation of metabolites and lipids from a single sample to achieve multiomics by using TRIzol reagent.

Simultaneous extraction of various types of biomolecule from a single sample can be beneficial for multiomics studies of unique specimens. An efficient and convenient sample preparation approach must be developed that can comprehensively isolate and extract biomolecules from one sample. TRIzol reagent is widely used in biological studies for DNA, RNA, and protein isolation. This study evaluated the feasibility of using TRIzol reagent for the simultaneous isolation of not only DNA, RNA, and proteins but also metabolites and lipids from a single sample. Through the comparison of known metabolites and lipids obtained using the conventional methanol (MeOH) and methyl-tert-butyl ether (MTBE) extraction methods, we determined the presence of metabolites and lipids in the supernatant during TRIzol sequential isolation. Finally, we performed untargeted metabolomics and lipidomics to examine metabolite and lipid alterations associated with the jhp0417 mutation in Helicobacter pylori by using the TRIzol sequential isolation protocol and MeOH and MTBE extraction methods. Metabolites and lipids with significant differences isolated using the TRIzol sequential isolation protocol were consistent with those obtained using the conventional MeOH and MTBE extraction methods. These results indicated that TRIzol reagent can be used to simultaneously isolate metabolites and lipids from a single sample. Thus, TRIzol reagent can be used in biological and clinical research, especially in multiomics studies.

Development of an efficient mAb quantification assay by LC-MS/MS using rapid on-bead digestion.

The use of monoclonal antibody (mAb) therapeutics is increasing rapidly, but mAb concentrations vary widely between individuals and might subsequently affect mAb exposure and treatment response. Precision medicine has gained much attention in recent years, but little is known about the personalized dosage of mAb therapeutics. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) has been demonstrated as a selective and sensitive approach to quantify mAb therapeutics in biological samples, but current methods to quantify mAbs are usually time-consuming and require tedious sample preparation. This study developed an efficient LC-MS/MS method using an on-bead trypsin digestion procedure at a higher digestion temperature. Five mAbs, bevacizumab, evolocumab, nivolumab, pembrolizumab, and trastuzumab, used for treating different diseases, were selected for method development. Tocilizumab was selected as the internal standard. The result of the on-bead digestion protocol was compared to the conventional low-pH elution method, and it showed better sensitivity and reproducibility for most mAbs. The optimized on-bead digestion protocol used 75 µL of digestion buffer at 60 °C for a 60 min digestion. The calibration curve was generated from 10 to 200 µg mL-1. The accuracies at the three QC levels of the 5 mAbs were all within 94.5 ± 5.2% to 111.6 ± 3.7%. The repeatability and intermediate precision of the 5 mAbs were all lower than 6.1 and 9.5% RSD, respectively. The newly developed method was successfully applied to quantify trastuzumab in six breast cancer patients under different treatment cycles, and the concentrations ranged from 66.4 to 173.2 µg mL-1. In conclusion, the developed method is more efficient and more practical for real-world analysis of a large number of clinical samples, it could be used for routine therapeutic drug monitoring, and it could contribute to personalized mAb treatment.

Development of an LC-MS/MS method to simultaneously quantify therapeutic mAbs and estimate hematocrit values in dried blood spot samples.

Recently, monoclonal antibody (mAb) therapy has gained increasing attention in the medical field due to its high specificity. Dried blood spots (DBSs) have been used in various clinical fields due to their unique characteristics, such as easy transportation, low invasiveness, and home sampling. However, hematocrit (HCT)-associated issues may lead to inaccurate quantification; moreover, the HCT value is required for converting the drug concentration from DBS to plasma. To simultaneously measure HCT levels and quantify mAb concentrations in DBS samples, this study used volumetrically applied 15 µL DBS, and combined protein G purification and ethanol precipitation approaches as the sample preparation method. Sixty-two clinical samples were used to investigate the HCT estimation ability by using hemoglobin (Hb) peptides. Four mAbs, bevacizumab, trastuzumab, nivolumab and tocilizumab, were selected to demonstrate our method, and pembrolizumab was used as the internal standard. The optimized method could measure four mAbs and Hb peptides simultaneously within 11 min. Moreover, a correlation study revealed that the correlation coefficient for the Hb peptides and the HCT value was larger than 0.9. The HCT estimation results revealed that for over 90% of the real DBS samples the HCT could be obtained within ±20% estimation error acceptance criteria. The method was validated in terms of accuracy and precision for the four mAbs. The developed method was further applied to simultaneously quantify mAb concentrations and estimate HCT values in six patient DBS samples to demonstrate its clinical applicability. It is believed that this newly developed method could facilitate various clinical studies and provide benefits for mAb therapies in clinical fields.

Using matrix-induced ion suppression combined with LC-MS/MS for quantification of trimethylamine-N-oxide, choline, carnitine and acetylcarnitine in dried blood spot samples.

Recently, there has been significant interest in the influences of the human gut microbiota on many diseases, such as cardiovascular disease (CVD) and metabolic disorders. Trimethylamine N-oxide (TMAO) is one of the most frequently discussed gut-derived metabolites. Dried blood spot (DBS) sampling has been regarded as an attractive alternative sampling strategy for clinical studies and offers many advantages. For DBS sample processing, whole-spot analysis could minimize hematocrit-related bias, but it requires blood volume calibration. This study developed a method combining matrix-induced ion suppression (MIIS) with liquid chromatography-electrospray ionization-tandem mass spectrometry (LC-ESI-MS/MS) to estimate blood volume and quantify TMAO and its precursors and derivatives, including choline, carnitine and acetylcarnitine, in DBSs. The MIIS method used an ion suppression indicator (ISI) to measure the extent of ion suppression caused by the blood matrix, which was related to the blood volume. The results showed that the volume estimation accuracy of the MIIS method was within 91.7-109.7%. The combined MIIS and LC-MS/MS method for quantifying TMAO, choline, carnitine and acetylcarnitine was validated in terms of linearity, precision and accuracy. The quantification accuracy was within 91.2-113.2% (with LLOQ <119%), and the imprecision was below 8.0% for all analytes. A stability study showed that the analytes in DBSs were stable at all evaluated temperatures for at least 30 days. The validated method was applied to quantify DBS samples (n = 56). Successful application of the new method demonstrated the potential of this method for real-world DBS samples and to facilitate our understanding of the gut microbiota in human health.

Aspirin Modifies Inflammatory Mediators and Metabolomic Profiles and Contributes to the Suppression of Obesity-Associated Breast Cancer Cell Growth.

Breast cancer is the most common cancer among women. Adiposity generally accompanies immune cell infiltration and cytokine secretion, which is ideal for tumor development. Aspirin is a chemopreventive agent against several types of cancer. The aim of this study was to investigate whether aspirin inhibits the growth of 4T1 breast cancer cells by inhibiting the inflammatory response and regulating the metabolomic profile of 3T3-L1 adipocytes. 3T3-L1 adipocyte-conditioned medium (Ad-CM) was used to mimic the obese adipose tissue microenvironment in 4T1 cells. The results revealed that aspirin inhibited macrophage chemoattractant protein (MCP-1), interleukin (IL-6), IL-1ß, and plasminogen activator inhibitor (PAI-1) production in 3T3-L1 adipocytes stimulated by tumor necrosis factor-alpha (TNF-α) and lipopolysaccharide (LPS). In the obesity-associated model, Ad-CM significantly promoted 4T1 cell growth and migration, which were attenuated after aspirin treatment. The results of metabolic analyses using Ad-CM showed that amino acid metabolites and oxidative stress were increased in mature 3T3-L1 adipocytes compared to those in fibroblasts. Aspirin treatment modified metabolites involved in suppressing lipogenesis, oxidative stress, and neoplastic formation. In the relative fatty acid quantitation analysis of Ad-CM, aspirin diminished fatty acid contents of C16:1, C18:1, C18:2, C20:4, and C24:1. This study is the first to show that aspirin modifies the metabolomics and fatty acid composition of 3T3-L1 adipocytes and inhibits obesity-associated inflammation that contributes to obesity-related breast cancer cell growth and migration.

The Teacher-Learner Contract (TLC): An Objectives-Based Checklist for Surgical Shadowing.

OBJECTIVE: A lack of structure and communication in physician shadowing experiences may prevent medical students from accruing its potential benefits. In this study, we evaluated the use of an objectives-based surgical shadowing teacher-learner contract (TLC) on the outcomes of shadowing experiences. DESIGN: Cross-sectional study with 30 unique student-surgeon pairs who participated in a 1-time shadowing experience between December 2016 and May 2017. SETTING: Eight hospitals and clinics in Metro Vancouver, British Columbia, Canada. PARTICIPANTS: A convenience sample of preclinical medical students attending University of British Columbia and local surgeons from a variety of specialties were recruited by email. A random sample of 30 students was selected from a pool of interested students. RESULTS: Twenty-eight students and 18 surgeons completed the study. In general, students and surgeons reported that the TLC focused learning and improved communication between teachers and learners. Students also commented that using the TLC prompted them to reflect on their goals and consider how the shadowing experience might contribute to their overall medical education. Both students and surgeons found benefit in using the checklist (mean 3.5 ± 0.75 and mean 3.8 ± 1.1, respectively, where 1 was not useful and 5 was very useful). All participants rated the TLC as easy to use (mean 1.429 ± 1.271 and mean 1.333 ± 0.686, respectively, where 1 was not difficult and 5 was very difficult), and 80% of respondents said they would use the tool again. Participants who benefited the most were students with limited surgical shadowing experience and surgeons with less experience teaching preclerkship students. CONCLUSIONS: This study demonstrates that an objectives-based learning contract like the TLC can facilitate meaningful shadowing experiences for teachers and learners and may have longitudinal educational benefits. However, widespread implementation will require institutional support of this concept.

Gas chromatography-mass spectrometry-based analytical strategies for fatty acid analysis in biological samples.

Fatty acids play critical roles in biological systems. Imbalances in fatty acids are related to a variety of diseases, which makes the measurement of fatty acids in biological samples important. Many analytical strategies have been developed to investigate fatty acids in various biological samples. Due to the structural diversity of fatty acids, many factors need to be considered when developing analytical methods including extraction methods, derivatization methods, column selections, and internal standard selections. This review focused on gas chromatography-mass spectrometry (GC-MS)-based methods. We reviewed several commonly used fatty acid extraction approaches, including liquid-liquid extraction and solid-phase microextraction. Moreover, both acid and base derivatization methods and other specially designed methods were comprehensively reviewed, and their strengths and limitations were discussed. Having good separation efficiency is essential to building an accurate and reliable GC-MS platform for fatty acid analysis. We reviewed the separation performance of different columns and discussed the application of multidimensional GC for improving separations. The selection of internal standards was also discussed. In the final section, we introduced several biomedical studies that measured fatty acid levels in different sample matrices and provided hints on the relationships between fatty acid imbalances and diseases.

Development of a general method for quantifying IgG-based therapeutic monoclonal antibodies in human plasma using protein G purification coupled with a two internal standard calibration strategy using LC-MS/MS.

Monoclonal antibody (mAb) drugs have generated much interest in recent years for treating various diseases. Immunoglobulin G (IgG) represents a high percentage of mAb drugs that have been approved by the Food and Drug Administration (FDA). To facilitate therapeutic drug monitoring and pharmacokinetic/pharmacodynamic studies, we developed a general liquid chromatography-tandem mass spectrometry (LC-MS/MS) method to quantify the concentration of IgG-based mAbs in human plasma. Three IgG-based drugs (bevacizumab, nivolumab and pembrolizumab) were selected to demonstrate our method. Protein G beads were used for sample pretreatment due to their universal ability to trap IgG-based drugs. Surrogate peptides that were obtained after trypsin digestion were quantified by using LC-MS/MS. To calibrate sample preparation errors and matrix effects that occur during LC-MS/MS analysis, we used two internal standards (IS) method that include the IgG-based drug-IS tocilizumab and post-column infused IS. Using two internal standards was found to effectively improve quantification accuracy, which was within 15% for all mAb drugs that were tested at three different concentrations. This general method was validated in term of its precision, accuracy, linearity and sensitivity for 3 demonstration mAb drugs. The successful application of the method to clinical samples demonstrated its' applicability in clinical analysis. It is anticipated that this general method could be applied to other mAb-based drugs for use in precision medicine and clinical studies.

Development of an LC-MS/MS method with protein G purification strategy for quantifying bevacizumab in human plasma.

Biopharmaceutical products such as protein drugs and monoclonal antibodies (mAb) are currently of great interest with monoclonal antibody drugs being one of the fastest growing categories of biopharmaceutical products. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) has gained high interest for measuring mAb drugs in biological samples in recent years due to its high selectivity. Bevacizumab is a humanized immunoglobulin G (IgG) mAb drug against human vascular endothelial cell growth factor A (VEGF-A). It is used for treating many types of cancers. Recent studies have indicated that clinical outcomes vary among patients treated with bevacizumab and produce various side effects, such as vascular disorders. In this study, we developed an LC-MS/MS method to quantify bevacizumab concentration. We selected readily available and economic materials for sample preparation to facilitate its wider use in clinical fields.-Protein G was used to trap bevacizumab from human plasma. In place of an extended stable isotope-labeled internal standard (SIL-IS), the IgG-based drug-IS tocilizumab was used because of its better calibration performance. The method was validated in terms of its precision, accuracy, linearity, and sensitivity. The accuracies which were expressed as percentage recoveries for three concentration levels were within 92.8 ± 3.2 to 112.7 ± 4.5%. Repeatability and intermediate precision in terms of peak area ratios were lower than 5.2 and 12.9% RSD, respectively. The application to patients' sample measurements revealed a wide individual variability of drug concentrations, and the proposed simple and general method may facilitate personalized medicine for improving therapeutic efficacy and safety. Graphical abstract ᅟ.

The Transcriptional Repressor Polycomb Group Factor 6, PCGF6, Negatively Regulates Dendritic Cell Activation and Promotes Quiescence.

Pro-inflammatory signals provided by the microenvironment are critical to activate dendritic cells (DCs), components of the innate immune system that shape both innate and adaptive immunity. However, to prevent inappropriate immune activation, mechanisms must be in place to restrain DC activation to ensure DCs are activated only once sufficient stimuli have been received. Here, we report that DC activation and immunogenicity are regulated by the transcriptional repressor Polycomb group factor 6 (PCGF6). Pcgf6 is rapidly downregulated upon stimulation, and this downregulation is necessary to permit full DC activation. Silencing PCGF6 expression enhanced both spontaneous and stimulated DC activation. We show that PCGF6 associates with the H3K4me3 demethylase JARID1c, and together, they negatively regulate H3K4me3 levels in DCs. Our results identify two key regulators, PCGF6 and JARID1c that temper DC activation and implicate active transcriptional silencing via histone demethylation as a previously unappreciated mechanism for regulating DC activation and quiescence.

An efficient and robust fatty acid profiling method for plasma metabolomic studies by gas chromatography-mass spectrometry.

BACKGROUND: Targeted metabolomic analysis of fatty acids has linked the dysregulation of fatty acids to many diseases. This study selected five frequently used fatty acid derivatization methods for comparison. METHODS: We compared the method precisions and derivatization efficiencies, the most economical and best performing method was subjected to method validation. Twenty-four fatty acid standards were used to validate the method, which was later applied to the investigation of potential fatty acid markers of breast cancer. RESULTS: The acetyl chloride method was demonstrated to provide the best derivatization efficiency and lowest cost for plasma samples. The ionic liquid column successfully separated positional and geometric fatty acid isomers within 26 min under the optimized conditions. Intra-day and inter-day CVs for most of the fatty acids were <10%. Over 90% of the results showed recoveries within 85%-115%. The validated method was applied to investigate potential fatty acid markers of breast cancer. The fatty acid profiling results revealed that 3 fatty acids (C22:0, C24:0, C18:2n6) were significantly lower in both pre- and post-menopausal breast cancer patients (P<0.05). CONCLUSIONS: We demonstrated that the proposed method is an accurate, efficient and economical method for plasma metabolomic studies of fatty acids.

Development and application of a comparative fatty acid analysis method to investigate voriconazole-induced hepatotoxicity.

BACKGROUND: As fatty acids play an important role in biological regulation, the profiling of fatty acid expression has been used to discover various disease markers and to understand disease mechanisms. This study developed an effective and accurate comparative fatty acid analysis method using differential labeling to speed up the metabolic profiling of fatty acids. METHODS: Fatty acids were derivatized with unlabeled (D0) or deuterated (D3) methanol, followed by GC-MS analysis. The comparative fatty acid analysis method was validated using a series of samples with different ratios of D0/D3-labeled fatty acid standards and with mouse liver extracts. RESULTS: Using a lipopolysaccharide (LPS)-treated mouse model, we found that the fatty acid profiles after LPS treatment were similar between the conventional single-sample analysis approach and the proposed comparative approach, with a Pearson's correlation coefficient of approximately 0.96. We applied the comparative method to investigate voriconazole-induced hepatotoxicity and revealed the toxicity mechanism as well as the potential of using fatty acids as toxicity markers. CONCLUSIONS: In conclusion, the comparative fatty acid profiling technique was determined to be fast and accurate and allowed the discovery of potential fatty acid biomarkers in a more economical and efficient manner.

Aptamer-functionalized gold nanoparticles as photoresponsive nanoplatform for co-drug delivery.

Various platforms have been developed as innovative nanocarriers to deliver therapeutic agents to the diseased sites. Multifunctional surface modification allows an enhanced recognition and uptake of drug carriers by targeted cells. However, the development of drug resistance in some tumor cells plays a major role in the failure of chemotherapy. Drugs given in combination, called multidrug delivery approach, was designed to improve the therapeutic efficacy and has become an increasingly used strategy that is of great importance in clinical cancer treatments. In this study, aptamer-functionalized gold nanoparticles (Au NPs) have been used as a nanoplatform to codeliver two different anticancer drugs for improving the drug effectiveness. The surface of Au NPs (13 nm in diameter) was assembled with AS1411 aptamers, which tethered with 21-base pairs of (CGATCGA)3 sequence approached to the Au NPs. Both the photosensitizer 5,10,15,20-tetrakis(1-methylpyridinium-4-yl) porphyrin (TMPyP4) and the chemotherapeutic drug doxorubicin (Dox) were then physically attached to the AS1411-conjugated Au NPs (T/D:ds-NPs) and delivered to the target tumor cells such as HeLa and Dox-resistant MCF-7R cell lines. When exposed to a 632 nm light, reactive oxygen species induced by TMPyP4 molecules were generated inside the living cells, followed by cell damage. In addition, triggered release of the complementary drugs also occurred simultaneously during the photodynamic reaction. In the presence of Dox molecules, the toxicity toward the target cells was superior to individual drug treatment. Overall, a co-drug delivery platform was successfully established to improve the therapeutic efficacy in tumor cells. The improvement of the photodynamic-stimulated triggered release was enhanced, thus highly promising precise drug release in targeted drug delivery.