Optimizing an adaptive digital oral health intervention for promoting oral self-care behaviors: Micro-randomized trial protocol.

Dental disease continues to be one of the most prevalent chronic diseases in the United States. Although oral self-care behaviors (OSCB), involving systematic twice-a-day tooth brushing, can prevent dental disease, this basic behavior is not sufficiently practiced. Recent advances in digital technology offer tremendous potential for promoting OSCB by delivering Just-In-Time Adaptive Interventions (JITAIs)- interventions that leverage dynamic information about the person's state and context to effectively prompt them to engage in a desired behavior in real-time, real-world settings. However, limited research attention has been given to systematically investigating how to best prompt individuals to engage in OSCB in daily life, and under what conditions prompting would be most beneficial. This paper describes the protocol for a Micro-Randomized Trial (MRT) to inform the development of a JITAI for promoting ideal OSCB, namely, brushing twice daily, for two minutes each time, in all four dental quadrants (i.e., 2x2x4). Sensors within an electric toothbrush (eBrush) will be used to track OSCB and a matching mobile app (Oralytics) will deliver on-demand feedback and educational information. The MRT will micro-randomize participants twice daily (morning and evening) to either (a) a prompt (push notification) containing one of several theoretically grounded engagement strategies or (b) no prompt. The goal is to investigate whether, what type of, and under what conditions prompting increases engagement in ideal OSCB. The results will build the empirical foundation necessary to develop an optimized JITAI that will be evaluated relative to a suitable control in a future randomized controlled trial.

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.

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.

Predicting ventricular tachycardia circuits in patients with arrhythmogenic right ventricular cardiomyopathy using genotype-specific heart digital twins.

Arrhythmogenic right ventricular cardiomyopathy (ARVC) is a genetic cardiac disease that leads to ventricular tachycardia (VT), a life-threatening heart rhythm disorder. Treating ARVC remains challenging due to the complex underlying arrhythmogenic mechanisms, which involve structural and electrophysiological (EP) remodeling. Here, we developed a novel genotype-specific heart digital twin (Geno-DT) approach to investigate the role of pathophysiological remodeling in sustaining VT reentrant circuits and to predict the VT circuits in ARVC patients of different genotypes. This approach integrates the patient's disease-induced structural remodeling reconstructed from contrast-enhanced magnetic-resonance imaging and genotype-specific cellular EP properties. In our retrospective study of 16 ARVC patients with two genotypes: plakophilin-2 (PKP2, n = 8) and gene-elusive (GE, n = 8), we found that Geno-DT accurately and non-invasively predicted the VT circuit locations for both genotypes (with 100%, 94%, 96% sensitivity, specificity, and accuracy for GE patient group, and 86%, 90%, 89% sensitivity, specificity, and accuracy for PKP2 patient group), when compared to VT circuit locations identified during clinical EP studies. Moreover, our results revealed that the underlying VT mechanisms differ among ARVC genotypes. We determined that in GE patients, fibrotic remodeling is the primary contributor to VT circuits, while in PKP2 patients, slowed conduction velocity and altered restitution properties of cardiac tissue, in addition to the structural substrate, are directly responsible for the formation of VT circuits. Our novel Geno-DT approach has the potential to augment therapeutic precision in the clinical setting and lead to more personalized treatment strategies in ARVC.

Characterization of synthetic guide ribonucleic acids through hydrophilic interaction chromatography coupled with mass spectrometry.

In this study, we aimed to develop a hydrophilic interaction liquid chromatography (HILIC) method for the analysis of single guide ribonucleic acid (sgRNA), a critical reagent used in CRISPR genome editing. Our results showed that effective profiling of sgRNA can be achieved by suppressing the surface charge of the stationary phase in HILIC. We identified hydrogen bonding as the primary retention mechanism with potential weak partitioning in HILIC separation of large oligonucleotides like 100-mer sgRNA. Moreover, we demonstrated that direct coupling of HILIC with mass spectrometry (MS) allows the intact mass analysis of sgRNA and its impurities with minimal adduct present. Finally, we characterized the post peak shown in the low temperature HILIC and identified it as sgRNA aggregates. Our findings provide valuable insight into the characterization of sgRNA and highlight the potential of HILIC-MS as a powerful analytical tool for relatively large oligonucleotide analysis.

Characterization of antisense oligonucleotide and guide ribonucleic acid diastereomers by hydrophilic interaction liquid chromatography coupled to mass spectrometry.

Oligonucleotides have become an essential modality for a variety of therapeutic approaches, including cell and gene therapies. Rapid progress in the field has attracted significant research in designing novel oligonucleotide chemistries and structures. Beyond their polar nature, the length of large RNAs and presence of numerous diastereomers for phosphorothioate (PS)-modified RNAs pose heightened challenges for their characterization. In this study, the stereochemistry of a fully-modified antisense oligonucleotide (ASO) and partially-modified guide RNAs (gRNAs) was investigated using HILIC and orthogonal techniques. The profiles of three lots of a fully-modified ASO with PS linkages were compared using ion-pairing RPLC (IPRP) and HILIC. Interestingly, three isomer peaks were partially resolved by HILIC for two lots while only one peak was observed on the IPRP profile. Model oligonucleotides having the same sequence of the five nucleotides incorporated to the 3'-end of the gRNA but differing in their number and position of PS linkages were investigated by HILIC, IPRP, ion mobility spectrometry-mass spectrometry (IM-MS) and nuclear magnetic resonance (NMR). An strategy was ultimately designed to aid in the characterization of gRNA stereochemistry. Ribonuclease (RNase) T1 digestion enabled the characterization of gRNA diastereomers by reducing their number from 32 at the gRNA intact level to 4 or 8 at the fragment level. To our knowledge, this is the first time that HILIC has successfully been utilized for the profiling of diastereomers for various oligonucleotide formats and chemical modifications.

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.

Reward Design For An Online Reinforcement Learning Algorithm Supporting Oral Self-Care.

While dental disease is largely preventable, professional advice on optimal oral hygiene practices is often forgotten or abandoned by patients. Therefore patients may benefit from timely and personalized encouragement to engage in oral self-care behaviors. In this paper, we develop an online reinforcement learning (RL) algorithm for use in optimizing the delivery of mobile-based prompts to encourage oral hygiene behaviors. One of the main challenges in developing such an algorithm is ensuring that the algorithm considers the impact of current actions on the effectiveness of future actions (i.e., delayed effects), especially when the algorithm has been designed to run stably and autonomously in a constrained, real-world setting characterized by highly noisy, sparse data. We address this challenge by designing a quality reward that maximizes the desired health outcome (i.e., high-quality brushing) while minimizing user burden. We also highlight a procedure for optimizing the hyperparameters of the reward by building a simulation environment test bed and evaluating candidates using the test bed. The RL algorithm discussed in this paper will be deployed in Oralytics. To the best of our knowledge, Oralytics is the first mobile health study utilizing an RL algorithm designed to prevent dental disease by optimizing the delivery of motivational messages supporting oral self-care behaviors.

Predicting Ventricular Tachycardia Circuits in Patients with Arrhythmogenic Right Ventricular Cardiomyopathy using Genotype-specific Heart Digital Twins.

Arrhythmogenic right ventricular cardiomyopathy (ARVC) is a genetic cardiac disease that leads to ventricular tachycardia (VT), a life-threatening heart rhythm disorder. Treating ARVC remains challenging due to the complex underlying arrhythmogenic mechanisms, which involve structural and electrophysiological (EP) remodeling. Here, we developed a novel genotype-specific heart digital twin (Geno-DT) approach to investigate the role of pathophysiological remodeling in sustaining VT reentrant circuits and to predict the VT circuits in ARVC patients of different genotypes. This approach integrates the patient's disease-induced structural remodeling reconstructed from contrast-enhanced magnetic-resonance imaging and genotype-specific cellular EP properties. In our retrospective study of 16 ARVC patients with two genotypes: plakophilin-2 (PKP2, n = 8) and gene-elusive (GE, n = 8), we found that Geno-DT accurately and non-invasively predicted the VT circuit locations for both genotypes (with 100%, 94%, 96% sensitivity, specificity, and accuracy for GE patient group, and 86%, 90%, 89% sensitivity, specificity, and accuracy for PKP2 patient group), when compared to VT circuit locations identified during clinical EP studies. Moreover, our results revealed that the underlying VT mechanisms differ among ARVC genotypes. We determined that in GE patients, fibrotic remodeling is the primary contributor to VT circuits, while in PKP2 patients, slowed conduction velocity and altered restitution properties of cardiac tissue, in addition to the structural substrate, are directly responsible for the formation of VT circuits. Our novel Geno-DT approach has the potential to augment therapeutic precision in the clinical setting and lead to more personalized treatment strategies in ARVC.

Social Vulnerability and Risk of Suicide in US Adults, 2016-2020.

Importance: There were over 45 000 suicides in the US in 2020, making suicide the 12th leading cause of death. If social vulnerability is associated with suicide rates, targeted interventions for at-risk segments of the population may reduce US suicide rates. Objective: To determine the association between social vulnerability and suicide in adults. Design, Setting, and Participants: This cohort study analyzed 2 county-level social vulnerability measures (the Social Vulnerability Index [SVI] and the Social Vulnerability Metric [SVM]) and US Centers for Disease Control and Prevention-reported county-level suicides from 2016 to 2020. Data were analyzed November and December 2022. Exposures: County-level variability in social vulnerability. Main Outcomes and Measures: The primary outcome measure was number of county-level adult suicides from 2016 to 2020, offset by county adult population during those years. The association between social vulnerability (measured using the SVI and the newly created SVM for 2018) and suicide was modeled using a bayesian-censored Poisson regression model to account for the CDC's suppression of county-level suicide counts of less than 10, adjusted for age, racial and ethnic minority, and urban-rural county characteristics. Results: From 2016 to 2020, there were a total of 222 018 suicides in 3141 counties. Comparing the least socially vulnerable (0% to 10%) to the most socially vulnerable (90% to 100%) counties, there was a 56% increase in suicide rate (17.3 per 100 000 persons to 27.0 per 100 000 persons) as measured by the SVI (incidence rate ratio, 1.56; 95% credible interval, 1.51-1.60) and an 82% increase in suicide rate (13.8 per 100 000 persons to 25.1 per 100 000 persons) as measured by the SVM (incidence rate ratio, 1.82; 95% credible interval, 1.72-1.92). Conclusions and Relevance: This cohort study found that social vulnerability had a direct association with risk for adult suicide. Reducing social vulnerability may lead to life-saving reduction in the rate of suicide.

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.

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.

A 2 million-person, campaign-wide field experiment shows how digital advertising affects voter turnout.

We present the results of a large, US$8.9 million campaign-wide field experiment, conducted among 2 million moderate- and low-information persuadable voters in five battleground states during the 2020 US presidential election. Treatment group participants were exposed to an 8-month-long advertising programme delivered via social media, designed to persuade people to vote against Donald Trump and for Joe Biden. We found no evidence that the programme increased or decreased turnout on average. We found evidence of differential turnout effects by modelled level of Trump support: the campaign increased voting among Biden leaners by 0.4 percentage points (s.e. = 0.2 pp) and decreased voting among Trump leaners by 0.3 percentage points (s.e. = 0.3 pp) for a difference in conditional average treatment effects of 0.7 points (t1,035,571 = -2.09; P = 0.036; [Formula: see text] points; 95% confidence interval = -0.014 to 0). An important but exploratory finding is that the strongest differential effects appear in early voting data, which may inform future work on early campaigning in a post-COVID electoral environment. Our results indicate that differential mobilization effects of even large digital advertising campaigns in presidential elections are likely to be modest.

Static magnetic field blocked alprazolam-induced behavior of Wistar rats in the elevated plus-maze test.

Studies have shown that psychotropic drugs change rat behavior in the elevated plus-maze test (EPM). This study investigated whether static magnetic fields could alter alprazolam-induced rat behavior in the EPM. 66 male Wistar rats (270-300 g weight) were assigned to one of the following groups: Sham Magnetic + Saline (SMS), North Pole + Saline (NPS), South Pole + Saline (SPS), Sham magnetic + alprazolam (SMA), NP + alprazolam (NPA), and SP + alprazolam (SPA). After five days of static magnetic stimulation (3200 Gauss), they received alprazolam or saline (1 mg/kg), and their behavior was evaluated. Two-way ANOVA and Holm-Sidak post-hock were used, with a significant P value of <0.05. The SMA and NPA groups showed an increased number of entries and time in the open arms compared with the SMS group. SPA showed a decrease in these measures when compared to SMA [F(2,61) = 6.43 and F(2,61) = 3.72, respectively]. The SMA and NPA groups showed increased head dipping and end-arm activity compared with the SMS group. SPA showed a decrease in these measures when compared to SMA [F(2,61) = 3.37 and [F(2,61) = 4.72, respectively]. These results show that the south magnetic pole of a static magnetic field blocked the alprazolam effect in the space-time variables of the open arms and ethological anxiolytic-like behavior in the EPM.

Acupuncture and Electroacupuncture Effects of ST-36 (Zusanli) and SP-9 (Yinlingquan) on Motor Behavior in Ischemic Gerbils.

Objective: Stroke is a leading cause of death and disability worldwide. To find ways to reduce behavioral disabilities, researchers study animal models. By targeting ST-36 (Zusanli) and SP-9 (Yinlingquan), this study investigated the effects of traditional acupuncture and electroacupuncture (EA) on motor behavior in gerbils following global cerebral ischemia. Materials and Methods: Thirty-six male gerbils were randomly assigned to 6 groups (n = 6 in each): control (C); sham-surgical (S); ischemia (I); acupuncture (Ac); EA (Ea); and sham-EA (SEa). The animals were habituated in an activity cage (AC) 72 hours before surgery. After induction of global ischemia, the Ac, Ea, and SEa groups received bilateral stimulation at ST-36 and SP-9. In the Ea group, an alternating electrical current was used. The animals were tested in the AC 4 days after surgery, and the results were analyzed by Kruskal-Wallis, followed by Dunn's posthoc test. Results: Statistical analysis revealed increased distance traveled and sensors triggered by the I, Ea, and SEa groups, compared to the C, Ac, and S groups. The animals' movement tracks had a similar pattern between the I and Ea groups, with increased exploration along the walls of the AC. Meanwhile, the Ac, S, and SEa groups explored the AC similarly to the C group. Conclusions: These findings suggest that acupuncture may normalize motor behavior in gerbils with ischemia and could be a promising treatment for stroke-induced motor deficits.

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.

Oxidative degradation in pharmaceuticals: Mechanism and stabilization of a spray-dried amorphous drug - A case study.

Drug formulations such as spray drying are often required to improve the physicochemical properties and bioavailability of hydrophobic drugs. However, excipients often carry contaminants/ impurities and may also increase moisture levels in solid formulations, which can have detrimental effects on the drugs, including drug degradation and stability. Hence, achieving adequate shelf life of drug products has been among the most challenging issues for pharmaceuticals. Here we report a case study where we systematically studied the oxidative degradation of a pharmaceutical compound GENE-A, spray-dried and dispersed in hydroxypropyl methylcellulose-acetate succinate polymer matrix. Three different oxidative degradation products were observed, and their mechanisms of formation were investigated via forced degradation studies. Finally, we used several antioxidants based on their mechanisms of action to reduce/ prevent the drug degradation process. Propyl gallate alone and in combination with Ethylenediaminetetraacetic acid completely prevented the formation of two degradation products, whereas there was no significant impact observed on the third one. The results showed that both metal chelators and free radical terminators most effectively prevented drug degradation. This study may address some of the key issues that pharmaceutical companies encounter and offer appropriate solutions to counter the oxidative degradation process of pharmaceuticals.

Analytical techniques for characterizing diastereomers of phosphorothioated oligonucleotides.

Oligonucleotides have emerged as powerful therapeutics for treating diverse diseases. To fully unlock the therapeutic potential of oligonucleotides, there is still a great need to further improve their drug-like properties. Numerous chemical modifications have been explored to achieve this goal, with phosphorothioation being one of the most widely used strategies. However, phosphorothioate modification produces diastereomers that are reported to have different properties and performances, demanding detailed characterization of these diastereomers. Here we provide an overview of phosphorothioated oligonucleotide diastereomers, covering their origin and configurations, physicochemical and pharmacological properties, and stereo-selective chemical synthesis, followed by a summary of currently available analytical techniques for characterizing these diastereomers, with a focus on liquid chromatography-based approaches, including ion-pair reversed-phase liquid chromatography, anion exchange chromatography, mixed-mode chromatography, and hybrid approaches. Non-chromatographic techniques, such as capillary electrophoresis, spectroscopy and other methods, are also being reviewed.

Analysis of therapeutic nucleic acids by capillary electrophoresis.

Nucleic acids are getting increased attention to fulfill unmet medical needs. The past five years have seen more than ten FDA approvals of nucleic acid based therapeutics. New analytical challenges have been posed in discovery, characterization, quality control and bioanalysis of therapeutic nucleic acids. Capillary electrophoresis (CE) has proven to be an efficient separation technique and has been widely used for analyzing oligonucleotides and nucleic acids. This review discusses the recent technical advances of CE in nucleic acid analysis such as polymeric matrices, separation conditions and detection methods, and the applications of CE to various therapeutic nucleic acids including antisense oligonucleotide (ASO), small interfering ribonucleic acid (siRNA), messenger RNA (mRNA), gene editing tools such as clustered regularly interspaced short palindromic repeats (CRISPR)-based gene and cell therapy, and other nucleic acid related therapeutics.

The impact of low adsorption surfaces for the analysis of DNA and RNA oligonucleotides.

As interest in oligonucleotide (ON) therapeutics is increasing, there is a need to develop suitable analytical methods able to properly analyze those molecules. However, an issue exists in the adsorption of ONs on different parts of the instrumentation during their analysis. The goal of the present paper was to comprehensively evaluate various types of bioinert materials used in ion-pairing reversed-phase (IP-RPLC) and hydrophilic interaction chromatography (HILIC) to mitigate this issue for 15- to 100-mer DNA and RNA oligonucleotides. The whole sample flow path was considered under both conditions, including chromatographic columns, ultra-high-performance liquid chromatography (UHPLC) system, and ultraviolet (UV) flow cell. It was found that a negligible amount of non-specific adsorption might be attributable to the chromatographic instrumentation. However, the flow cell of a detector should be carefully subjected to sample-based conditioning, as the material used in the UV flow cell was found to significantly impact the peak shapes of the largest ONs (60- to 100-mer). Most importantly, we found that the choice of column hardware had the most significant impact on the extent of non-specific adsorption. Depending on the material used for the column walls and frits, adsorption can be more or less pronounced. It was proved that any type of bioinert RPLC/HILIC column hardware offered some clear benefits in terms of adsorption in comparison to their stainless-steel counterparts. Finally, the evaluation of a large set of ONs was performed, including a DNA duplex and DNA or RNA ONs having different base composition, furanose sugar, and modifications occurring at the phosphate linkage or at the sugar moiety. This work represents an important advance in understanding the overall ON adsorption, and it helps to define the best combination of materials when analyzing a wide range of unmodified and modified 20-mer DNA and RNA ONs.