Online Nucleotide Mapping of mRNAs.

Messenger RNA (mRNA) can be sequenced via indirect approaches such as Sanger sequencing and next generation sequencing (NGS), or direct approaches like bottom-up mass spectrometry (MS). Direct sequencing allows the confirmation of RNA modifications. However, the conventional bottom-up MS approach involves time-consuming in-solution digestions that require a large amount of sample, and can lead to the RNase contamination of the LC-MS system and column. Here, we describe a platform that enables online nucleotide mapping of mRNAs via the use of immobilized RNase cartridges and 2D-LC-MS instrumentation. The online approach was compared to conventional offline digestion protocols adapted from two published studies. For this purpose, five model mRNAs of varying lengths (996-4521 nucleotides) and chemistries (unmodified uridine vs 5-methoxyuridine (5moU)) were analyzed. The profiles and sequence coverages obtained after RNase T1 digestion were discussed. The online nucleotide mapping achieved comparable or slightly greater sequence coverage for the 5 mRNAs (5.8-51.5%) in comparison to offline approaches (3.7-50.4%). The sequence coverage was increased to 65.6-85.6 and 69.7-85.0% when accounting for the presence of nonunique digestion products generated by the RNase T1 and A, respectively. The online nucleotide mapping significantly reduced the digestion time (from 15 to <5 min), increased the signal intensity by more than 10-fold in comparison to offline approaches.

Unified and Versatile Multiplex Platform for Expedited Method Development and Comprehensive Characterization of Therapeutic Peptides.

Agile analytical approaches are needed for fast and comprehensive characterization of peptide drug candidates. In this study, a unified and versatile multiplex platform was developed to expedite method development and enable the routine determination of multiple quality attributes simultaneously. The platform integrates the automation of size exclusion chromatography (SEC), reversed phase liquid chromatography coupled to reversed phase liquid chromatography (RPLC-RPLC), and hydrophilic interaction liquid chromatography hyphenated to charged aerosol detection (HILIC-CAD). Various therapeutic peptide constructs, including macrocyclic peptides and disulfide constrained peptides, across different lots were studied. The effect of the mobile phase acetonitrile content on the impurity profiles was systematically studied using two SEC columns. A prototype MaxPeak Premier SEC 125 Å column packed with BEH PEO particles achieved the separation of impurities (>2.0% area), whereas no impurities could be observed with an ACQUITY UPLC Protein BEH SEC 125 Å column packed with BEH diol particles. Comprehensive impurity profiling and expedited method development was performed utilizing RPLC-RPLC. Each peptide was analyzed by a combination of 12 conditions in the second dimension, using four columns with octadecyl, phenyl-hexyl, and cyano bonded phases, and three mobile phases with various solvents, modifiers, and pH compositions. Additionally, a HILIC-CAD method was developed for the quantification of TFA, commonly present in peptide products.

Analytical and Functional Characterization of Plasmid DNA Topological Forms and Multimers.

Plasmid DNA (pDNA) is an essential tool in genetic engineering that has gained prevalence in cell and gene therapies. Plasmids exist as supercoiled (SC), open circular (OC), and linear forms. Plasmid multimerization can also occur during the manufacturing process. Even though the SC forms are thought to provide optimal knock-in (KI) efficiency, there is no strong consensus on the effect of the topological forms and multimers on the functional activity. In addition, the results obtained for conventional pDNAs (>5 kbp) do not necessarily translate to smaller pDNAs (∼3 kbp). In this study, a workflow was developed for the analytical and functional characterization of pDNA topological forms and multimers. An anion exchange chromatography (AEC) method was first developed to quantify the topological forms and multimers. Four AEC columns were initially compared, one of which was found to provide superior chromatographic performance. The effect of mobile phase pH, various salts, column temperature, and acetonitrile content on the separation performance was systematically studied. The method performance, including precision and accuracy, was evaluated. The final AEC method was compared to capillary gel electrophoresis (CGE) by analyzing several pDNA sequences and lots. A forced degradation study revealed unexpectedly high degradation of the SC forms. Finally, the KI efficiency was compared for the SC and OC forms, and the multimers.

Predicting Long-Term Stability of an Oral Delivered Antibody Drug Product with Accelerated Stability Assessment Program Modeling.

The oral delivery of protein therapeutics offers numerous advantages for patients but also presents significant challenges in terms of development. Currently, there is limited knowledge available regarding the stability and shelf life of orally delivered protein therapeutics. In this study, a comprehensive assessment of the stability of an orally delivered solid dosage variable domain of heavy-chain antibody (VHH antibody) drug product was conducted. Four stability related quality attributes that undergo change as a result of thermal and humidity stress were identified. Subsequently, these attributes were modeled using an accelerated stability approach facilitated by ASAPprime software. To the best of our knowledge, this is the first time that this approach has been reported for an antibody drug product. We observed overall good model quality and accurate predictions regarding the protein stability during storage. Notably, we discovered that protein aggregation, formed through a degradation pathway, requires additional adjustments to the modeling method. In summary, the ASAP approach demonstrated promising results in predicting the stability of this complex solid-state protein formulation. This study sheds light on the stability and shelf life of orally delivered protein therapeutics, addressing an important knowledge gap in the field.

Development of an advanced separation and characterization platform for mRNA and lipid nanoparticles using multi-detector asymmetrical flow field-flow fractionation.

In recent years, the use of lipid nanoparticles (LNPs) for delivery of messenger RNA (mRNA)-based therapies has gained substantial attention in the field of drug development. In such an application, multiple LNP attributes have to be carefully characterized to ensure product safety and quality, whereas accurate and efficient characterization of these complex mRNA-LNP formulations remains a challenging endeavor. Here, we present the development and application of an online separation and characterization platform designed for the isolation and in-depth analysis of mRNAs and mRNA-loaded LNPs. Our asymmetrical flow field-flow fractionation with a multi-detector (MD-AF4) method has demonstrated exceptional resolution between mRNA-LNPs and mRNAs, delivering excellent recoveries (over 70%) for both analytes and exceptional repeatability. Notably, this platform allows for comprehensive and multi-attribute LNP characterization, including online particle sizing, morphology characterization, and determination of encapsulation efficiency, all within a single injection. Furthermore, real-time online sizing by synchronizing multi-angle light scattering (MALS) and dynamic light scattering (DLS) presented higher resolution over traditional batch-mode DLS, particularly in differentiating heterogeneous samples with a low abundance of large-sized particles. Additionally, our method proves to be a valuable tool for monitoring LNP stability under varying stress conditions. Our work introduces a robust and versatile analytical platform using MD-AF4 that not only efficiently provides multi-attribute characterizations of mRNA-LNPs but also holds promise in advancing studies related to formulation screening, quality control, and stability assessment in the evolving field of nanoparticle delivery systems for mRNAs.

Optimizing Messenger RNA Analysis Using Ultra-Wide Pore Size Exclusion Chromatography Columns.

Biopharmaceutical products, in particular messenger ribonucleic acid (mRNA), have the potential to dramatically improve the quality of life for patients suffering from respiratory and infectious diseases, rare genetic disorders, and cancer. However, the quality and safety of such products are particularly critical for patients and require close scrutiny. Key product-related impurities, such as fragments and aggregates, among others, can significantly reduce the efficacy of mRNA therapies. In the present work, the possibilities offered by size exclusion chromatography (SEC) for the characterization of mRNA samples were explored using state-of-the-art ultra-wide pore columns with average pore diameters of 1000 and 2500 Å. Our investigation shows that a column with 1000 Å pores proved to be optimal for the analysis of mRNA products, whatever the size between 500 and 5000 nucleotides (nt). We also studied the influence of mobile phase composition and found that the addition of 10 mM magnesium chloride (MgCl2) can be beneficial in improving the resolution and recovery of large size variants for some mRNA samples. We demonstrate that caution should be exercised when increasing column length or decreasing the flow rate. While these adjustments slightly improve resolution, they also lead to an apparent increase in the amount of low-molecular-weight species (LMWS) and monomer peak tailing, which can be attributed to the prolonged residence time inside the column. Finally, our optimal SEC method has been successfully applied to a wide range of mRNA products, ranging from 1000 to 4500 nt in length, as well as mRNA from different suppliers and stressed/unstressed samples.

Graft-host coupling changes can lead to engraftment arrhythmia: a computational study.

After myocardial infarction (MI), a significant portion of heart muscle is replaced with scar tissue, progressively leading to heart failure. Human pluripotent stem cell-derived cardiomyocytes (hPSC-CM) offer a promising option for improving cardiac function after MI. However, hPSC-CM transplantation can lead to engraftment arrhythmia (EA). EA is a transient phenomenon arising shortly after transplantation then spontaneously resolving after a few weeks. The underlying mechanism of EA is unknown. We hypothesize that EA may be explained partially by time-varying, spatially heterogeneous, graft-host electrical coupling. Here, we created computational slice models derived from histological images that reflect different configuration of grafts in the infarcted ventricle. We ran simulations with varying degrees of connection imposed upon the graft-host perimeter to assess how heterogeneous electrical coupling affected EA with non-conductive scar, slow-conducting scar and scar replaced by host myocardium. We also quantified the effect of variation in intrinsic graft conductivity. Susceptibility to EA initially increased and subsequently decreased with increasing graft-host coupling, suggesting the waxing and waning of EA is regulated by progressive increases in graft-host coupling. Different spatial distributions of graft, host and scar yielded markedly different susceptibility curves. Computationally replacing non-conductive scar with host myocardium or slow-conducting scar, and increasing intrinsic graft conductivity both demonstrated potential means to blunt EA vulnerability. These data show how graft location, especially relative to scar, along with its dynamic electrical coupling to host, can influence EA burden; moreover, they offer a rational base for further studies aimed to define the optimal delivery of hPSC-CM injection. KEY POINTS: Human pluripotent stem cell-derived cardiomyocytes (hPSC-CM) hold great cardiac regenerative potential but can also cause engraftment arrhythmias (EA). Spatiotemporal evolution in the pattern of electrical coupling between injected hPSC-CMs and surrounding host myocardium may explain the dynamics of EA observed in large animal models. We conducted simulations in histology-derived 2D slice computational models to assess the effects of heterogeneous graft-host electrical coupling on EA propensity, with or without scar tissue. Our findings suggest spatiotemporally heterogeneous graft-host coupling can create an electrophysiological milieu that favours graft-initiated host excitation, a surrogate metric of EA susceptibility. Removing scar from our models reduced but did not abolish the propensity for this phenomenon. Conversely, reduced intra-graft electrical connectedness increased the incidence of graft-initiated host excitation. The computational framework created for this study can be used to generate new hypotheses, targeted delivery of hPSC-CMs.

Characterization of Dye-Loaded Poly(lactic-co-glycolic acid) Nanoparticles by Comprehensive Two-Dimensional Liquid Chromatography Combining Hydrodynamic and Reversed-Phase Liquid Chromatography.

Analytical methods for the assessment of drug-delivery systems (DDSs) are commonly suitable for characterizing individual DDS properties, but do not allow determination of several properties simultaneously. A comprehensive online two-dimensional liquid chromatography (LC × LC) system was developed that is aimed to be capable of characterizing both nanoparticle size and encapsulated cargo over the particle size distribution of a DDS by using one integrated method. Polymeric nanoparticles (NPs) with encapsulated hydrophobic dyes were used as model DDSs. Hydrodynamic chromatography (HDC) was used in the first dimension to separate the intact NPs and to determine the particle size distribution. Fractions from the first dimension were taken comprehensively and disassembled online by the addition of an organic solvent, thereby releasing the encapsulated cargo. Reversed-phase liquid chromatography (RPLC) was used as a second dimension to separate the released dyes. Conditions were optimized to ensure the complete disassembly of the NPs and the dissolution of the dyes during the solvent modulation step. Subsequently, stationary-phase-assisted modulation (SPAM) was applied for trapping and preconcentration of the analytes, thereby minimizing the risk of analyte precipitation or breakthrough. The developed HDC × RPLC method allows for the characterization of encapsulated cargo as a function of intact nanoparticle size and shows potential for the analysis of API stability.

Separation of Plasmid DNA Topological Forms, Messenger RNA, and Lipid Nanoparticle Aggregates Using an Ultrawide Pore Size Exclusion Chromatography Column.

Health authorities have highlighted the need to determine oligonucleotide aggregates. However, existing technologies have limitations that have prevented the reliable analysis of size variants for large nucleic acids and lipid nanoparticles (LNPs). In this work, nucleic acid and LNP aggregation was examined using prototype, low adsorption ultrawide pore size exclusion chromatography (SEC) columns. A preliminary study was conducted to determine the column's physicochemical properties. A large difference in aggregate content (17.8 vs 59.7 %) was found for a model messenger RNA (mRNA) produced by different manufacturers. We further investigated the nature of the aggregates via a heat treatment. Interestingly, thermal stress irreversibly decreased the amount of aggregates from 59.7 to 4.1% and increased the main peak area 3.3-fold. To the best of our knowledge, for the first time, plasmid DNA topological forms and multimers were separated by analytical SEC. The degradation trends were compared to the data obtained with an anion exchange chromatography method. Finally, unconjugated and fragment antigen-binding (Fab)-guided LNPs were analyzed and their elution times were plotted against their sizes as measured by DLS. Multi-angle light scattering (MALS) was coupled to SEC in order to gain further insights on large species eluting before the LNPs, which were later identified as self-associating LNPs. This study demonstrated the utility of ultrawide pore SEC columns in characterizing the size variants of large nucleic acid therapeutics and LNPs.

Middle-out sequence confirmation of CRISPR/Cas9 single guide RNA (sgRNA) using DNA primers and ribonuclease T1 digestion.

Accurate sequencing of single guide RNAs (sgRNAs) for CRISPR/Cas9 genome editing is critical for patient safety, as the sgRNA guides the Cas9 nuclease to target site-specific cleavages in DNA. An approach to fully sequence sgRNA using protective DNA primers followed by ribonuclease (RNase) T1 digestion was developed to facilitate the analysis of these larger molecules by hydrophilic interaction liquid chromatography coupled with high-resolution mass spectrometry (HILIC-HRMS). Without RNase digestion, top-down mass spectrometry alone struggles to properly fragment precursor ions in large RNA oligonucleotides to provide confidence in sequence coverage. With RNase T1 digestion of these larger oligonucleotides, however, bottom-up analysis cannot confirm full sequence coverage due to the presence of short, redundant digestion products. By combining primer protection with RNase T1 digestion, digestion products are large enough to prevent redundancy and small enough to provide base resolution by tandem mass spectrometry to allow for full sgRNA sequence coverage. An investigation into the general requirements for adequate primer protection of specific regions of the RNA was conducted, followed by the development of a generic protection and digestion strategy that may be applied to different sgRNA sequences. This middle-out technique has the potential to expedite accurate sequence confirmation of chemically modified sgRNA oligonucleotides.

Characterization of Impurities in Therapeutic RNAs at the Single Nucleotide Level.

The chemistry of guide RNA (gRNA) affects the performance of the clustered regularly interspaced short palindromic repeats (CRISPR)-Cas9 genome editing technique. However, the literature is very scarce about the study of gRNA degradation and in particular at the single nucleotide level. In this work, we developed a workflow to characterize the impurities of large RNAs at the single nucleotide level and identified the residues prone to degradation. Our strategy involves (i) the reduction of RNA length, (ii) a chromatographic mode able to capture subtle changes in impurity polarity, and (iii) a streamlined data treatment. To illustrate the approach, stressed gRNA samples were analyzed by coupling an immobilized ribonuclease T1 cartridge to a hydrophilic interaction liquid chromatography (HILIC) column hyphenated with tandem mass spectrometry (MS/MS). Critical findings were made possible by the presented technology. In particular, the desulfurization of phosphorothioate (PS) linkages was the major degradation observed at the single nucleotide level while no change in purity profile could be observed when using conventional ion-pairing reversed-phase (IPRP) liquid chromatography. To our knowledge, this is the first time that several impurity types are screened for a large RNA molecule using an automated online digestion analysis approach.

On-line Sequencing of CRISPR Guide RNAs and Their Impurities via the Use of Immobilized Ribonuclease Cartridges Attached to a 2D/3D-LC-MS System.

In this study, for the first time, the automated digestion and sequencing of an RNA molecule via the use of immobilized RNase cartridges attached to a multidimensional liquid chromatography (LC)-mass spectrometry (MS) system are presented. We first developed an on-line digestion-HILIC two-dimensional (2D)-LC-MS method in order to sequence CRISPR guide RNAs for gene editing. Three RNases (T1, A, and U2) were immobilized on polyetheretherketone cartridges, and their performance was evaluated. Ultrafast digestions were performed within 2.3 min with the on-line approach versus 30 min via the conventional off-line approach. The higher sequence coverage was achieved by the RNase T1 (71%), which is the same as the off-line mode. A 20-fold reduction in the gRNA sample amount was achieved with the on-line digestion approach (6.5 µg) in comparison to that with the off-line approach (130 µg). In the second step, a three-dimensional (3D)-LC-MS method was developed for the sequencing of fractions collected on-line across the main peak and the partially separated tail by the reference ion-pairing RPLC method. Additional insights were gained in order to better understand the cause of the main peak tailing.

Spectroscopy-Based Local Modeling Method for High-Throughput Quantification of Nucleic Acid Loading in Lipid Nanoparticles.

Lipid nanoparticles (LNPs) are the most widely investigated delivery systems for nucleic acid-based therapeutics and vaccines. Loading efficiency of nucleic acids may vary with formulation conditions, and it is considered one of the critical quality attributes of LNP products. Current analytical methods for quantification of cargo loading in LNPs often require external standard preparations and preseparation of unloaded nucleic acids from LNPs; therefore, they are subject to tedious and lengthy procedures, LNP stability, and unpredictable recovery rates of the separated analytes. Here, we developed a modeling approach, which was based on locally weighted regression (LWR) of ultraviolet (UV) spectra of unpurified samples, to quantify the loading of nucleic acid cargos in LNPs in-situ. We trained the model to automatically tune the training library space according to the spectral features of a query sample so as to robustly predict the nucleic acid cargo concentration and rank loading capacity with similar performance as the more complicated experimental approaches. Furthermore, we successfully applied the model to a wide range of nucleic acid cargo species, including antisense oligonucleotides, single-guided RNA, and messenger RNA, in varied lipid matrices. The LWR modeling approach significantly saved analytical time and efforts by facile UV scans of 96-well sample plates within a few minutes and with minimal sample preprocessing. Our proof-of-concept study presented the very first data mining and modeling strategy to quantify nucleic acid loading in LNPs and is expected to better serve high-throughput screening workflows, thereby facilitates early-stage optimization and development of LNP formulations.

Full Sequencing of CRISPR/Cas9 Single Guide RNA (sgRNA) via Parallel Ribonuclease Digestions and Hydrophilic Interaction Liquid Chromatography-High-Resolution Mass Spectrometry Analysis.

CRISPR/Cas9 is a powerful genome editing approach in which a Cas9 enzyme and a single guide RNA (sgRNA) form a ribonucleoprotein complex effectively targeting site-specific cleavages of DNA. Accurate sequencing of sgRNA is critical to patient safety and is the expectation by regulatory agencies. In this paper, we present the full sequencing of sgRNA via parallel ribonuclease (RNase) T1, A, and U2 digestions and the simultaneous separation and identification of the digestion products by hydrophilic interaction liquid chromatography (HILIC) coupled to high-resolution mass spectrometry (HRMS). When using RNase T1 digestion alone, a maximal sequence coverage of 81% was obtained excluding the nonunique fragments. Full sgRNA sequencing was achieved using unique fragments generated by RNase T1, A, and U2 parallel digestions. Thorough optimization of sgRNA digestions was performed by varying the nuclease-to-sgRNA ratio, buffer conditions, and reaction times. A biocompatible ethylene-bridged hybrid amide column was evaluated for the separation of RNase digestion products. To our knowledge, it is the first time that (i) RNA digests are separated and identified by HILIC-HRMS and (ii) chemically modified sgRNAs are directly sequenced via a bottom-up approach.

Multi-dimensional LC-MS: the next generation characterization of antibody-based therapeutics by unified online bottom-up, middle-up and intact approaches.

Accelerated development of new therapeutics in an increasingly competitive landscape requires the use of high throughput analytical platforms. In addition, the complexity of novel biotherapeutic formats (e.g. fusion proteins, protein-polymer conjugates, co-formulations, etc.) reinforces the need to improve the selectivity and resolution of conventional one-dimensional (1D) liquid chromatography (LC). Liquid chromatography-mass spectrometry (LC-MS)-based technologies such as native LC-MS for intact mass analysis or peptide mapping (also called bottom-up approach)-based multi-attribute methods (MAM) have already demonstrated their potential to complement the conventional analytical toolbox for monoclonal antibody (mAb) characterization. Two-dimensional liquid-chromatography (2D-LC-MS) methods have emerged in the last ten years as promising approaches to address the increasing analytical challenges faced with novel antibody formats. However, off-line sample preparation procedures are still required for conventional 1D and 2D-LC-MS methods for the in-depth variant characterization at the peptide level. Multi-dimensional LC-MS (mD-LC-MS) combine sample preparation and multi-level (i.e. intact, reduced, middle-up and peptide) analysis within the same chromatographic set-up. This review presents an overview of the benefits and limitations of mD-LC-MS approaches in comparison to conventional chromatographic methods (i.e. 1D-LC-UV methods at intact protein level and 1D-LC-MS methods at peptide level). The current analytical trends in antibody characterization by mD-LC-MS approaches, beyond the 2D-LC-MS workhorse, are also reviewed, and our vision on a more integrated multi-level mD-LC-MS characterization platform is shared.

Characterization of Antisense Oligonucleotide Impurities by Ion-Pairing Reversed-Phase and Anion Exchange Chromatography Coupled to Hydrophilic Interaction Liquid Chromatography/Mass Spectrometry Using a Versatile Two-Dimensional Liquid Chromatography Setup.

Determination of phosphorothioate oligonucleotide purity and impurity profile is commonly performed by ion-pairing reversed-phase liquid chromatography (IPRP) with a mobile phase containing triethylamine (TEA) and hexafluoro-2-propanol (HFIP). However, ion-suppressing effects of TEA hamper mass spectrometry (MS) instrumentation sensitivity and HFIP can affect the robustness of the mass spectrometer due to its corrosive nature. Anion exchange chromatography (AEX) is an orthogonal separation mode to IPRP but typically cannot be directly coupled to MS. In this work, we developed a multiple heart-cutting IPRP-, AEX-hydrophilic interaction liquid chromatography(HILIC)/MS method for quantification and high sensitivity identification of antisense oligonucleotide (ASO) impurities using a Q-Exactive mass spectrometer. Notably, both AEX-HILIC and IPRP-HILIC modes could be operated on a versatile two-dimensional liquid chromatography (2D-LC) setup including several column selectors. The HILIC mobile phase contained 25 mM ammonium acetate and allowed identifying impurities at levels down to 0.3%. Careful selection of the sample loop volume and the 2D HILIC column dimension allowed straightforward coupling of HILIC for both IPRP and AEX without the need to use any solvent modulation. Overall, the 2D HILIC allowed online desalting of AEX and IPRP modes and further separation of additional impurities.

Characterization of High Molecular Weight Multi-Arm Functionalized PEG-Maleimide for Protein Conjugation by Charge-Reduction Mass Spectrometry Coupled to Two-Dimensional Liquid Chromatography.

A current trend in drug development involves the use of high molecular weight, branched, and functionalized polymers for protein conjugation and drug delivery. Accurately characterizing these polymers is critical to control the product quality, to monitor the stability, and ultimately to ensure the drug efficacy and patient safety. However, due to the heterogeneity in size, the multiplicity of functional groups, and the highly convoluted charge-distribution profile in mass spectra, the characterization of these polymers is highly challenging from both chromatography and mass spectrometry perspectives. To overcome these challenges, we developed a strategy utilizing charge-reduction mass spectrometry (CRMS) coupled with two-dimensional HPLC (2D-LC). We then applied the workflow to characterize a 40 kDa 8-arm polyethylene glycol (PEG) functionalized with a maleimide terminal group for protein conjugation. The development was carried out in stages, where first we focused on the development of a CRMS method to simplify the charge profile of the polymers and then coupled it to HPLC to obtain discernible mass spectra of key impurities and degradants. Second, the CRMS method was applied to an investigation of the size-variant impurity resolved by reversed-phase size-exclusion 2D-LC. Finally, a separate size-exclusion reversed-phase 2D-LC-CRMS method was developed to capture a wider range of process-related impurities and reaction intermediates from the PEG-maleimide polymers throughout the conjugation process. The combination of these experiments using the 2D-LC-CRMS strategy enables the sensitive characterization of the entire impurity profile of the high molecular weight multifunctionalized PEG-maleimide conjugation intermediate.

Achiral-Chiral Two-Dimensional Liquid Chromatography Platform to Support Automated High-Throughput Experimentation in the Field of Drug Development.

Automated high-throughput experimentation (HTE) is a powerful tool for scientists to explore and optimize chemical transformations by simultaneously screening yield, stereoselectivity, and impurity profiles. To analyze the HTE samples, high-throughput analysis (HTA) platforms must be fast, accurate, generic, and specific at the same time. A large amount of high-quality data is critical for the success of machine learning models in the era of big data. Conventional chiral liquid chromatography-mass spectrometry (LC/MS) HTE methods are hampered by compound co-eluting, possible ion suppression, and limited chiral column lifetime in the presence of crude reaction mixtures or complex sample matrices. To overcome these limitations, a generic and fast achiral-chiral heart-cutting two-dimensional (2D)-LC method has been developed to determine both the yield and stereoselectivity of chemical transformations within a 10 min run time. Successful implementation of the 2D-LC HTA platform in a routine drug development environment was achieved for real-world project support, with the analysis so far of over 2000 reaction mixtures prepared in the 96-well plate format. Excellent performance of the method was demonstrated by relative standard deviation (RSD) lower than 0.83% for the 1D and 2D retention times, and determination coefficients higher than 0.99. The presented HTA 2D-LC platform has had a significant impact on drug development by analyzing the HTE samples rapidly with unambiguous peak tracking and providing a robust approach for accurately generating a large amount of high-quality data in a short time.

Evaluation of detection sensitivity in comprehensive two-dimensional liquid chromatography separations of an active pharmaceutical ingredient and its degradants.

In this paper, we describe the findings of a study aimed at assessing the detection sensitivity of comprehensive two-dimensional high-performance liquid chromatography (LCxLC) separation of a degraded active pharmaceutical ingredient (API) with UV absorption as the detection technique. Specifically, we have examined the impact of the volume and solvent composition (referred to as "interface conditions") of fractions of first-dimension column effluent transferred to the second dimension for further separation on the ability to resolve and detect low-abundance compounds. Historically, LCxLC has been perceived as being inferior to 1D-LC from the point of view of detection sensitivity. In this work, we demonstrate that LCxLC is sufficiently sensitive to be useful in the pharmaceutical context where in general impurities present at 0.05 % (relative to the API concentration) should be quantified. Moreover, we find that this level of sensitivity is only attained under certain conditions: dilution of the first column effluent with weak solvent (water in this case) prior to injection into the second-dimension column is very beneficial because it promotes focusing of the analyte band in the second column, thereby improving the detection sensitivity of the LCxLC system; and, quantitation limits are also a strong function of peak location in the second-dimension separation window, where baseline disturbances near the dead time of the second column can limit reliable detection of low-abundance compounds.

The Safety and Effectiveness of Patient-controlled Analgesia in Outpatient Children and Young Adults With Cancer: A Retrospective Study.

BACKGROUND: Patient-controlled analgesia (PCA) is safe and effective in hospitalized children; however, data regarding its use for outpatients are limited. The aims of the study are to determine the safety of outpatient PCA and to compare the standard and proxy PCA groups. METHODS: All patients receiving outpatient PCA over 54 months were included in this retrospective study. Data regarding age, sex, diagnosis, PCA initiation/discontinuation circumstances, patient versus proxy-authorized PCA type, opioid doses, pain scores, and complications were collected. Nonparametric tests (Wilcoxon-Mann-Whitney test for comparing 2 groups or Kruskal-Wallis rank-sum test for comparing >2 groups) were used to compare duration of PCA use, opioid doses, pain scores, and circumstances of initiation and discontinuation of outpatient PCA. RESULTS: Forty-five patients used 69 outpatient PCAs. The complication rate was 0.36%. The starting mean MED (mg/kg/d) was 1.67 when initiation was for an outpatient and 4.04 for those discharged from the hospital with PCA; this difference was not statistically significant (P=0.13). The analysis of mean opioid doses in relationship to the circumstances for the discontinuation of the outpatient PCA revealed a significantly higher dose (mg/kg/d) in the group of patients who died (19.54) than in the group with a change of status to inpatient or transfer to another hospital or hospice (3.70) and in the group in which PCA was discontinued because pain management no longer required a PCA (1.19). The mean opioid daily doses and pain scores were significantly higher at the end of life (P<0.0001). CONCLUSIONS: Outpatient PCA use for children and young adults with cancer is safe.