Specificity of oligonucleotide gene therapy (OGT) agents

Alternative splicing in autism spectrum disorder: Recent insights from mechanisms to therapy

Alternative splicing (AS) is a vital and highly dynamic RNA regulatory mechanism that allows a single gene to generate multiple mRNA and protein isoforms. Dysregulation of AS has been identified as a key contributor to the pathogenesis of autism spectrum disorders (ASD). A comprehensive understanding of aberrant splicing mechanisms and their functional consequences in ASD can help uncover the molecular basis of the disorder and facilitate the development of therapeutic strategies. This review focuses on the major aberrant splicing events and key splicing regulators associated with ASD, highlighting their roles in linking defective splicing to ASD pathogenesis. In addition, a discussion of how emerging technologies, such as long-read sequencing, single-cell sequencing, spatial transcriptomics and CRISPR-Cas systems are offering novel insights into the role and mechanisms of AS in ASD is presented. Finally, the RNA splicing-based therapeutic strategies are evaluated, emphasizing their potential to address unmet clinical needs in ASD treatment.

Cleavage of Structured RNAs Is Accelerated by High Affinity DNAzyme Agents

DNAzymes (Dz) have been suggested as sequence-specific agents for cleaving RNA for therapeutic purposes. This concept paper discusses the challenges of Dz 10-23 design to effciently cleave folded RNA substrates. Dz with traditionally designed RNA binding arms (Tm~37 °C) have low affinity to the folded RNA substrates, which limits the overall cleavage rate. The RNA cleavage can be facilitated using Dz with high-affinity arms. However, this strategy is efficient only for cleaving RNA into folded RNA products. The unfolded products inhibit multiple substrate turnover. In a more general approach, Dz should be equipped with additional RNA binding arms to achieve tight RNA binding. This can be accomplished by bivalent and multivalent Dz constructs that have multiple catalytic cores. In all cases, high selectivity toward single nucleotide variations can be achieved in addition to multiple turnovers. The presence of RNase H, which plays a role in the antisense effect of oligonucleotide gene therapy agents, stabilizes the Dz:RNA complex and reduces its selectivity but significantly increases RNA cleavage efficiency. This work proposes changes in the algorithms of Dz design, which can help in constructing potent Dz agents for RNA inhibition both in cell cultures and in vivo. The concept article is supplemented with a quiz, which tests knowledge of the main concepts discussed in this work.

DNA nanotechnology-based strategies for minimising hybridisation-dependent off-target effects in oligonucleotide therapies

Targeted therapy has emerged as a transformative breakthrough in modern medicine. Oligonucleotide drugs, such as antisense oligonucleotides (ASOs) and small interfering RNAs (siRNAs), have made significant advancements in targeted therapy. Other oligonucleotide-based therapeutics like clustered regularly interspaced short palindromic repeat (CRISPR)/CRISPR-associated protein (Cas) systems are also leading a revolution in targeted gene therapy. However, hybridisation-dependent off-target effects, arising from imperfect base pairing, remain a significant and growing concern for the clinical translation of oligonucleotide-based therapeutics. These mismatches in base pairing can lead to unintended steric blocking or cleavage events in non-pathological genes, affecting the efficacy and safety of the oligonucleotide drugs. In this review, we examine recent developments in oligonucleotide-based targeted therapeutics, explore the factors influencing sequence-dependent targeting specificity, and discuss the current approaches employed to reduce the off-target side effects. The existing strategies, such as chemical modifications and oligonucleotide length optimisation, often require a trade-off between specificity and binding affinity. To further address the challenge of hybridisation-dependent off-target effects, we discuss DNA nanotechnology-based strategies that leverage the collaborative effects of nucleic acid assembly in the design of oligonucleotide-based therapies. In DNA nanotechnology, collaborative effects refer to the cooperative interactions between individual strands or nanostructures, where multiple bindings result in more stable and specific hybridisation behaviour. By requiring multiple complementary interactions to occur simultaneously, the likelihood of unintended partially complementary binding events in nucleic acid hybridisation should be reduced. And thus, with the aid of collaborative effects, DNA nanotechnology has great promise in achieving both high binding affinity and high specificity to minimise the hybridisation-dependent off-target effects of oligonucleotide-based therapeutics.

The Influence of Length and Sequence of Complementary Oligonucleotides on the Spectral and Time-Resolved Fluorescence Properties of an H-Type Excitonic Dimer-Bearing Antisense Oligonucleotide

We have previously found that the presence of an H-type excitonic dimer formed by two fluorophores covalently bound to an oligonucleotide allows the delivery of such a polymer into live cells without inducing toxicity. We are now using time-resolved fluorescence measurements in solution to understand the molecular dynamics of an antisense probe and how pairing with complementary sense strands of various lengths and degrees of complementarity affects the antisense strand's properties. We report that a DNA strand composed of 30 residues and labeled with an H-type excitonic Cyanine-5/Cyanine-5 dimer shows a predominant 1.9 ns lifetime decay term accompanied by a shorter (0.5 ns) secondary lifetime. Similar values were measured for this excitonic dimer-bearing antisense strand following binding with a series of sense strands of varying lengths and compositions. However, significant differences in both time-resolved and steady-state anisotropy values were found, depending on the level of duplex formation through hydrogen bonding between sense and antisense sequences. More specifically, the anisotropy measurements of the double-labeled single-chain probe showed increases as the two intramolecular fluorophores were induced to separate with values dependent on the length and sequence of complementary sense strands. These differences suggest induced changes in the degrees of wobbling, tumbling, and spinning.

Mitigating off-target effects of small RNAs: conventional approaches, network theory and artificial intelligence

Three types of highly promising small RNA therapeutics, namely, small interfering RNAs (siRNAs), microRNAs (miRNAs) and the RNA subtype of antisense oligonucleotides (ASOs), offer advantages over small-molecule drugs. These small RNAs can target any gene product, opening up new avenues of effective and safe therapeutic approaches for a wide range of diseases. In preclinical research, synthetic small RNAs play an essential role in the investigation of physiological and pathological pathways as silencers of specific genes, facilitating discovery and validation of drug targets in different conditions. Off-target effects of small RNAs, however, could make it difficult to interpret experimental results in the preclinical phase and may contribute to adverse events of small RNA therapeutics. Out of the two major types of off-target effects we focused on the hybridization-dependent, especially on the miRNA-like off-target effects. Our main aim was to discuss several approaches, including sequence design, chemical modifications and target prediction, to reduce hybridization-dependent off-target effects that should be considered even at the early development phase of small RNA therapy. Because there is no standard way of predicting hybridization-dependent off-target effects, this review provides an overview of all major state-of-the-art computational methods and proposes new approaches, such as the possible inclusion of network theory and artificial intelligence (AI) in the prediction workflows. Case studies and a concise survey of experimental methods for validating in silico predictions are also presented. These methods could contribute to interpret experimental results, to minimize off-target effects and hopefully to avoid off-target-related adverse events of small RNA therapeutics. LINKED ARTICLES: This article is part of a themed issue Non-coding RNA Therapeutics. To view the other articles in this section visit http://onlinelibrary.wiley.com/doi/10.1111/bph.v182.2/issuetoc.

A guide to RNA structure analysis and RNA-targeting methods

RNAs are increasingly recognized as promising therapeutic targets, susceptible to modulation by strategies that include targeting with small molecules, antisense oligonucleotides, deoxyribozymes (DNAzymes), or CRISPR/Cas13. However, while drug development for proteins follows well-established paths for rational design based on the accurate knowledge of their three-dimensional structure, RNA-targeting strategies are challenging since comprehensive RNA structures are yet scarce and challenging to acquire. Numerous methods have been developed to elucidate the secondary and three-dimensional structure of RNAs, including X-ray crystallography, cryo-electron microscopy, nuclear magnetic resonance, SHAPE, DMS, and bioinformatic methods, yet they have often revealed flexible transcripts and co-existing populations rather than single-defined structures. Thus, researchers aiming to target RNAs face a critical decision: whether to acquire the detailed structure of transcripts in advance or to adopt phenotypic screens or sequence-based approaches that are independent of the structure. Still, even in strategies that seem to rely only on the nucleotide sequence (like the design of antisense oligonucleotides), researchers may need information about the accessibility of the compounds to the folded RNA molecule. In this concise guide, we provide an overview for researchers interested in targeting RNAs: We start by revisiting current methodologies for defining secondary or three-dimensional RNA structure and then we explore RNA-targeting strategies that may or may not require an in-depth knowledge of RNA structure. We envision that complementary approaches may expedite the development of RNA-targeting molecules to combat disease.

Marker-Dependent Cleavage of RNA by Binary (split) DNAzyme (BiDz) and Binary DNA Machines (BiDM)

Oligonucleotide gene therapy (OGT) can be used to suppress specific RNA in cells and thus has been explored for gene therapy. Despite extensive effort, there is no clinically significant OGT for treating cancer. Low efficiency of OGT is one of the problems. Earlier, we proposed to address this problem by suppressing the most vital genes in cancer cells e. g. housekeeping genes. To achieve specific activation of the OGT agents in cancer but not in normal cells, we designed a binary (split) DNAzyme (BiDz) activated by cancer-related nucleic acid sequences. This work is devoted to BiDz optimization for efficient cleavage of structured RNA targets upon activation with a cancer marker-related sequence. To achieve efficient binding of folded RNA, the BiDz was equipped with RNA binding/unwinding arms to produce 'Binary DNA-nanomachines' (BiDM). It was demonstrated that BiDM can improve both the rate and selectivity of RNA cleavage in comparison with BiDz. For the best selectivity, single-nucleotide variations should be recognized by the strand detached from the common DNA scaffold of BiDM. Further development of DNA nanotechnology-inspired agents can advance OGT in treating cancer, viral infections, and genetic disorders.

Progressive cancer targeting by programmable aptamer-tethered nanostructures

Scientific research in recent decades has affirmed an increase in cancer incidence as a cause of death globally. Cancer can be considered a plurality of various diseases rather than a single disease, which can be a multifaceted problem. Hence, cancer therapy techniques acquired more accelerated and urgent approvals compared to other therapeutic approaches. Radiotherapy, chemotherapy, immunotherapy, and surgery have been widely adopted as routine cancer treatment strategies to suppress disease progression and metastasis. These therapeutic approaches have lengthened the longevity of countless cancer patients. Nonetheless, some inherent limitations have restricted their application, including insignificant therapeutic efficacy, toxicity, negligible targeting, non-specific distribution, and multidrug resistance. The development of therapeutic oligomer nanoconstructs with the advantages of chemical solid-phase synthesis, programmable design, and precise adjustment is crucial for advancing smart targeted drug nanocarriers. This review focuses on the significance of the different aptamer-assembled nanoconstructs as multifunctional nucleic acid oligomeric nanoskeletons in efficient drug delivery. We discuss recent advancements in the design and utilization of aptamer-tethered nanostructures to enhance the efficacy of cancer treatment. Valuably, this comprehensive review highlights self-assembled aptamers as the exceptionally intelligent nano-biomaterials for targeted drug delivery based on their superior stability, high specificity, excellent recoverability, inherent biocompatibility, and versatile functions.

MicroLOCK: Highly stable microgel biosensor using locked nucleic acids as bioreceptors for sensitive and selective detection of let-7a

Chemically modified oligonucleotides can solve biosensing issues for the development of capture probes, antisense, CRISPR/Cas, and siRNA, by enhancing their duplex-forming ability, their stability against enzymatic degradation, and their specificity for targets with high sequence similarity as microRNA families. However, the use of modified oligonucleotides such as locked nucleic acids (LNA) for biosensors is still limited by hurdles in design and from performances on the material interface. Here we developed a fluorogenic biosensor for non-coding RNAs, represented by polymeric PEG microgels conjugated with molecular beacons (MB) modified with locked nucleic acids (MicroLOCK). By 3D modeling and computational analysis, we designed molecular beacons (MB) inserting spot-on LNAs for high specificity among targets with high sequence similarity (95%). MicroLOCK can reversibly detect microRNA targets in a tiny amount of biological sample (2 μL) at 25 °C with a higher sensitivity (LOD 1.3 fM) without any reverse transcription or amplification. MicroLOCK can hybridize the target with fast kinetic (about 30 min), high duplex stability without interferences from the polymer interface, showing high signal-to-noise ratio (up to S/N = 7.3). MicroLOCK also demonstrated excellent resistance to highly nuclease-rich environments, in real samples. These findings represent a great breakthrough for using the LNA in developing low-cost biosensing approaches and can be applied not only for nucleic acids and protein detection but also for real-time imaging and quantitative assessment of gene targeting both in vitro and in vivo.

Cleaving Folded RNA by Multifunctional DNAzyme Nanomachines

Both tight and specific binding of folded biological mRNA is required for gene silencing by oligonucleotide gene therapy agents. However, this is fundamentally impossible using the conventional oligonucleotide probes according to the affinity/specificity dilemma. This study addresses this problem for cleaving folded RNA by using multicomponent agents (dubbed 'DNA nanomachine' or DNM). DNMs bind RNA by four short RNA binding arms, which ensure tight and highly selective RNA binding. Along with the improved affinity, DNM maintain the high sequence selectivity of the conventional DNAzymes. DNM enabled up to 3-fold improvement in DNAzymes catalytic efficiency (kcat/Km) by facilitating both RNA substrate binding and product release steps of the catalytic cycle. This study demonstrates that multicomponent probes organized in sophisticated structures can help to achieve the balance between affinity and selectivity in recognizing folded RNA and thus creates a foundation for applying complex DNA nanostructures derived by DNA nanotechnology in gene therapy.

Multivalent DNAzyme agents for cleaving folded RNA

Multivalent recognition and binding of biological molecules is a natural phenomenon that increases the binding stability (avidity) without decreasing the recognition specificity. In this study, we took advantage of this phenomenon to increase the efficiency and maintain high specificity of RNA cleavage by DNAzymes (Dz). We designed a series of DNA constructs containing two Dz agents, named here bivalent Dz devices (BDD). One BDD increased the cleavage efficiency of a folded RNA fragment up to 17-fold in comparison with the Dz of a conventional design. Such an increase was achieved due to both the improved RNA binding and the increased probability of RNA cleavage by the two catalytic cores. By moderating the degree of Dz agent association in BDD, we achieved excellent selectivity in differentiating single-base mismatched RNA, while maintaining relatively high cleavage rates. Furthermore, a trivalent Dz demonstrated an even greater efficiency than the BDD in cleaving folded RNA. The data suggests that the cooperative action of several RNA-cleaving units can significantly improve the efficiency and maintain high specificity of RNA cleavage, which is important for the development of Dz-based gene knockdown agents.

RNase H-dependent DNA thresholder modulated by cancer marker concentration

Threshold antisense oligonucleotide constructs were designed to cleave mRNA within different biomarker concentrations. The mRNA cleavage is activated by 2.6, 7.5 or 39.5 nM of biomarker depending on the construct design. The constructs can be used to differentiate cancer from normal cells by the level of oncogene expression followed by silencing of a targeted gene.

Towards the development of a DNA automaton: modular RNA-cleaving deoxyribozyme logic gates regulated by miRNAs

Advancements in DNA computation have unlocked molecular-scale information processing possibilities, utilizing the intrinsic properties of DNA for complex logical operations with transformative applications in biomedicine. DNA computation shows promise in molecular diagnostics, enabling precise and sensitive detection of genetic mutations and disease biomarkers. Moreover, it holds potential for targeted gene regulation, facilitating personalized therapeutic interventions with enhanced efficacy and reduced side effects. Herein, we have developed six DNAzyme-based logic gates able to process YES, AND, and NOT Boolean logic. The novelty of this work lies in their additional functionalization with a common DNA scaffold for increased cooperativity in input recognition. Moreover, we explored hierarchical input binding to multi-input logic gates, which helped gate optimization. Additionally, we developed a new design of an allosteric hairpin switch used to implement NOT logic. All DNA logic gates achieved the desired true-to-false output signal when detecting a panel of miRNAs, known for their important role in malignancy regulation. This is the first example of DNAzyme-based logic gates having all input-recognizing elements integrated in a single DNA nanostructure, which provides new opportunities for building DNA automatons for diagnosis and therapy of human diseases.

Design and synthesis of nucleotidyl lipids and their application in the targeted delivery of siG12D for pancreatic cancer therapy

Nucleic acid drugs are attracting significant attention as prospective therapeutics. However, their efficacy is hindered by challenges in penetrating cell membranes and reaching target tissues, limiting their applications. Nucleotidyl lipids, with their specific intermolecular interactions such as H-bonding and π-π stacking, offer a promising solution as gene delivery vehicles. In this study, a novel series of nucleotide-based amphiphiles were synthesized. These lipid molecules possess the ability to self-assemble into spherical vesicles of appropriate size and zeta potential in aqueous solution. Furthermore, their complexes with oligonucleotides demonstrated favorable biocompatibility and exhibited antiproliferative effects against a broad range of cancer cells. Additionally, when combined with the cationic lipid CLD, these complexes displayed promising in vitro performance and in vivo efficacy. By incorporating DSPE-PEGylated cRGD into the formulation, targeted accumulation of siG12D in pancreatic cancer cells increased from approximately 6% to 18%, leading to effective treatment outcomes (intravenous administration, 1 mg/kg). This finding holds significant importance for the liposomal delivery of nucleic acid drugs to extrahepatic tissues.

Cleaving Folded RNA with DNAzyme Agents

Cleavage of biological mRNA by DNAzymes (Dz) has been proposed as a variation of oligonucleotide gene therapy (OGT). The design of Dz-based OGT agents includes computational prediction of two RNA-binding arms with low affinity (melting temperatures (Tm ) close to the reaction temperature of 37 °C) to avoid product inhibition and maintain high specificity. However, RNA cleavage might be limited by the RNA binding step especially if the RNA is folded in secondary structures. This calls for the need for two high-affinity RNA-binding arms. In this study, we optimized 10-23 Dz-based OGT agents for cleavage of three RNA targets with different folding energies under multiple turnover conditions in 2 mM Mg2+ at 37 °C. Unexpectedly, one optimized Dz had each RNA-binding arm with a Tm ≥60 °C, without suffering from product inhibition or low selectivity. This phenomenon was explained by the folding of the RNA cleavage products into stable secondary structures. This result suggests that Dz with long (high affinity) RNA-binding arms should not be excluded from the candidate pool for OGT agents. Rather, analysis of the cleavage products' folding should be included in Dz selection algorithms. The Dz optimization workflow should include testing with folded rather than linear RNA substrates.

Multicomponent DNAzyme Nanomachines: Structure, Applications, and Prospects

Nucleic acids (NAs) are important components of living organisms responsible for the storage and transmission of hereditary information. They form complex structures that can self-assemble and bind to various biological molecules. DNAzymes are NAs capable of performing simple chemical reactions, which makes them potentially useful elements for creating DNA nanomachines with required functions. This review focuses on multicomponent DNA-based nanomachines, in particular on DNAzymes as their main functional elements, as well as on the structure of DNAzyme nanomachines and their application in the diagnostics and treatment of diseases. The article also discusses the advantages and disadvantages of DNAzyme-based nanomachines and prospects for their future applications. The review provides information about new technologies and the possibilities of using NAs in medicine.

Efficient shRNA-based knockdown of multiple target genes for cell therapy using a chimeric miRNA cluster platform

Genome engineering technologies are powerful tools in cell-based immunotherapy to optimize or fine-tune cell functionalities. However, their use for multiple gene edits poses relevant biological and technical challenges. Short hairpin RNA (shRNA)-based cell engineering bypasses these criticalities and represents a valid alternative to CRISPR-based gene editing. Here, we describe a microRNA (miRNA)-based multiplex shRNA platform obtained by combining highly efficient miRNA scaffolds into a chimeric cluster, to deliver up to four shRNA-like sequences. Thanks to its limited size, our cassette could be deployed in a one-step process along with all the CAR components, streamlining the generation of engineered CAR T cells. The plug-and-play design of the shRNA platform allowed us to swap each shRNA-derived guide sequence without affecting the system performance. Appropriately choosing the target sequences, we were able to either achieve a functional KO, or fine-tune the expression levels of the target genes, all without the need for gene editing. Through our strategy we achieved easy, safe, efficient, and tunable modulation of multiple target genes simultaneously. This approach allows for the effective introduction of multiple functionally relevant tweaks in the transcriptome of the engineered cells, which may lead to increased performance in challenging environments, e.g., solid tumors.

Biological Roles and Pathogenic Mechanisms of LncRNA MIR4435-2HG in Cancer: A Comprehensive Review

The long non-coding RNA MIR4435-2HG has been confirmed to play a crucial regulatory role in various types of tumors. As a novel type of non-coding RNA, MIR4435-2HG plays a key role in regulating the expression of tumor-related genes, interfering with cellular signaling pathways, and affecting tumor immune evasion. Its unique structure allows it to regulate the expression of various tumor-related genes through different pathways, participating in the regulation of tumor signaling pathways, such as regulating the expression of oncogenes and tumor suppressor genes, influencing the biological behaviors of proliferation, metastasis, and apoptosis in tumors. Numerous studies have found a high expression of MIR4435-2HG in various tumor tissues, closely related to the clinical pathological characteristics of tumors, such as staging, lymph node metastasis and prognosis. Some studies have discovered that MIR4435-2HG can regulate the sensitivity of tumor cells to chemotherapy drugs, affecting tumor cell drug resistance. This provides new insights into overcoming tumor drug resistance by regulating MIR4435-2HG. Therefore, studying its molecular mechanisms, expression regulation, and its relationship with the clinical features of tumors is of great significance for revealing the mechanisms of tumor occurrence and developing new therapeutic targets.

From cell factories to patients: Stability challenges in biopharmaceuticals manufacturing and administration with mitigation strategies

Active ingredients of biopharmaceuticals consist of a wide array of biomolecular structures, including those of enzymes, monoclonal antibodies, nucleic acids, and recombinant proteins. Recently, these molecules have dominated the pharmaceutical industry owing to their safety and efficacy. However, their manufacturing is hindered by high cost, inadequate batch-to-batch equivalence, inherent instability, and other quality issues. This article is an up-to-date review of the challenges encountered during different stages of biopharmaceutical production and mitigation of problems arising during their development, formulation, manufacturing, and administration. It is a broad overview discussion of stability issues encountered during product life cycle i.e., upstream processing (aggregation, solubility, host cell proteins, color change), downstream bioprocessing (aggregation, fragmentation), formulation, manufacturing, and delivery to patients.

Modified ASO conjugates encapsulated with cytidinyl/cationic lipids exhibit more potent and longer-lasting anti-HCC effects

Antisense oligonucleotides (ASOs) are a class of therapeutics targeting mRNAs or genes that have attracted much attention. However, effective delivery and optimal accumulation in target tissues in vivo are still challenging issues. CT102 is an ASO that targets IGF1R mRNA and induces cell apoptosis. Herein, a detailed exploration of the tissue distribution of ASOs delivered by liposomes was carried out. A formulation that resulted in increased hepatic accumulation was identified based on multiple intermolecular interactions between DCP (cytidinyl/cationic lipid DNCA/CLD and DSPE-PEG) and oligonucleotides, including hydrogen bonding, π-π stacking, and electrostatic interactions. The structurally optimized CT102s present a novel strategy for the treatment of hepatocellular carcinoma. The gapmer CT102MOE5 and conjugate Glu-CT102MOE5 showed superior antiproliferation and IGF1R mRNA suppression effects at 100 nM in vitro and achieved greater efficacy at a lower dose and administration frequency in vivo. Combined transcriptome and proteome analyses revealed that additional associated targets and functional regulations might simultaneously exist in ASO therapy. These results showed that a combination of lipid encapsulation and structural optimization in the delivery of oligonucleotide drugs has favorable prospects for clinical application.

DNA Nanomachine (DNM) Biplex Assay for Differentiating Bacillus cereus Species

Conventional methods for the detection and differentiation of Bacillus cereus group species have drawbacks mostly due to the complexity of genetic discrimination between the Bacillus cereus species. Here, we describe a simple and straightforward assay based on the detected unamplified bacterial 16S rRNA by DNA nanomachine (DNM). The assay uses a universal fluorescent reporter and four all-DNA binding fragments, three of which are responsible for "opening up" the folded rRNA while the fourth stand is responsible for detecting single nucleotide variation (SNV) with high selectivity. Binding of the DNM to 16S rRNA results in the formation of the 10-23 deoxyribozyme catalytic core that cleaves the fluorescent reporter and produces a signal, which is amplified over time due to catalytic turnover. This developed biplex assay enables the detection of B. thuringiensis 16S rRNA at fluorescein and B. mycoides at Cy5 channels with a limit of detection of 30 × 10³ and 35 × 10³ CFU/mL, respectively, after 1.5 h with a hands-on time of ~10 min. The new assay may simplify the analysis of biological RNA samples and might be useful for environmental monitoring as a simple and inexpensive alternative to amplification-based nucleic acid analysis. The DNM proposed here may become an advantageous tool for detecting SNV in clinically significant DNA or RNA samples and can easily differentiate SNV under broadly variable experimental conditions and without prior amplification.

Functional roles, regulatory mechanisms and theranostics applications of ncRNAs in alcohol use disorder

Alcohol use disorder (AUD) is one of the most prevalent neuropsychological disorders worldwide, and its pathogenesis is convoluted and poorly understood. There is considerable evidence demonstrating significant associations between multiple heritable factors and the onset and progression of AUD. In recent years, a substantial body of research conducted by emerging biotechnologies has increasingly highlighted the crucial roles of noncoding RNAs (ncRNAs) in the pathophysiology of mental diseases. As in-depth understanding of ncRNAs and their mechanisms of action, they have emerged as prospective diagnostic indicators and preclinical therapeutic targets for a variety of psychiatric illness, including AUD. Of note, dysregulated expression of ncRNAs such as circRNAs, lncRNAs and miRNAs was routinely found in AUD individuals, and besides, exogenous regulation of partial ncRNAs has also been shown to be effective in ameliorating alcohol preference and excessive alcohol consumption. However, the exact molecular mechanism still remains elusive. Herein, we systematically summarized current knowledge regarding alterations in the expression of certain ncRNAs as well as their-mediated regulatory mechanisms in individuals with AUD. And finally, we detailedly reviewed the potential theranostics applications of gene therapy agents targeting ncRNAs in AUD mice. Overall, a deeper comprehension of functional roles and biological mechanisms of ncRNAs may make significant contributions to the accurate diagnosis and effective treatment of AUD.