Int J App Pharm, Vol 16, Issue 1, 2024, 33-50Review Article

APTAMERS: NANOMATERIALS AS A POTENTIAL AGENT FOR ANTIVIRAL THERAPEUTIC DRUG DELIVERY DEVELOPMENT: A SYSTEMATIC LITERATURE REVIEW

MUTHADI RADHIKA REDDY1*, SHIVA KUMAR GUBBIYAPPA1, SHAIK HARUN RASHEED2, KONDAPURAM PARAMESHWAR3

1*Department of Pharmaceutics, Guru Nanak Institutions Technical Campus-School of Pharmacy, Hyderabad, India. 2Department of Pharmaceutics, Gitam School of Pharmacy, GITAM Deemed to be University, Hyderabad, India. 3Department of Pharmaceutics, Guru Nanak Institutions Technical Campus-School of Pharmacy, Ibrahimpatnam, Hyderabad, India
*Corresponding author: Muthadi Radhika Reddy; *Email: muthadiradhika@gmail.com

Received: 07 May 2023, Revised and Accepted: 08 Sep 2023


ABSTRACT

Chemotherapeutic experts have been utilised to cure a variety of disorders, but their practical application is restricted due to their regrettable selectivity and outrageous fundamental optional effects. Short single-stranded DNA or RNA oligonucleotides known as aptamers are released from randomised libraries and have strong propensity and differentiation towards targets like antibodies as well as characterised structures and ties to targets like proteins. They commonly suppress protein interactions while restricting proteins, which may elicit positive effects like threat. Aptamers have recently demonstrated their amazing promise for use in medicines, biosensors, and bioimaging thanks to a number of advantages, such as minimal immunogenicity, simplicity of giant degree blend, low pack to-bunch collection, genuinely substance modification, and programmability. At any rate, the steady for the most part accomplishment speed of aptamer is far from being brilliant, despite everything needs to overwhelm the gigantic obstruction in propensity, constancy for utilitarian application, explicit illness cell affirmation. The sensible method of controlling the binding execution of aptamers and dealing with their show in the practical application is of great significance and these single-abandoned DNA or RNA aptamers could outline with astoundingly poisonous chemotherapy drugs, hurts, strong RNAs or different particles as novel aptamer-drug structures, which are prepared to do endlessly out working on the obliging plentifulness and decreasing the critical danger of solutions and have unprecedented possible in living spaces for appointed ailment treatment. In this survey, we have extensively covered and summarised the ongoing improvements in the aptamer-drug structure philosophy for designated drug transport in the assessment methodologies of aptamers for unambiguous disease biomarkers. A modified strategy utilising aptamers could be a reliable system for quick and precise advancement of biopharmaceutics for use in infection-related treatment, especially in light of the enormous advances in modernised thinking for protein and RNA structure conjectures. Additionally, the likelihood of future conception is also summarised.

Keywords: Cancer, SELEX, Targeted drug delivery, Nanoparticle, Therapy, Aptamer


INTRODUCTION

For the best clinical applicability, proper evaluation must be followed by effective treatment. Researchers have been actively pursuing the specific delivery of anticancer drugs to malignant development cells for a long time. Nanoparticles may more efficiently encapsulate and deliver anticancer drugs to tumour-growing tissue [1]. Despite this, nanoparticles as such are not specific to cancerous development cells; rather, the increased permeability and retention (EPR) effect of the cancer tissue is what causes nanoparticles to aggregate, particularly in disease locations [2, 3]. However, if ligands with the ability to recognise malignant growth cells specifically could be added to nanoparticles, they would actually want to target and deliver cargoes to disease cells specifically, greatly increasing the restorative record (expanding helpful viability while reducing harmfulness). Aptamer is one of the molecules that have been studied so far to explicitly functionalize nanoparticles for focusing [4]. Small single-stranded DNA or RNA oligonucleotides known as aptamers, have the ability to generate secondary and tertiary structures. Similar to antibodies, which are essentially made of nucleic acid with high affinity to specific targets like ions, entire cells, peptides, proteins, bacteria, viruses, and other cellular targets, etc., antigens are separated from randomised libraries and exhibit high affinity and specificity towards targets. These nucleic acid aptamers, which typically vary in size from 20 to 80 nucleotides, first appeared in the 1990s and exhibit binding properties [5, 6]. The Aptamer, a medicinal drug created by Nexstar and NeXagen, exhibits perfect analogies to antibodies. NX1838, now known as Macugen (Pegaptanib sodium), was the first Aptamer to be used in a clinic setting (and the first FDA-approved Aptamer). NX1838 functions as a vascular endothelial antagonist [7, 8].

Due to aptamers' remarkable potential, such as their potent anti-tumor activity, excellent circulation stability, biocompatibility, multimodal diagnostic functionalities, high loading efficiency, and ability to treat bacterial or viral infections, the field of aptamers research is expanding [9]. The issues of aptamer degradation, metabolic clearance, renal filtration, regulation of the duration of action, cross-reactivity, and irreversible tissue uptake remain despite aptamers' potential for theranostic and bioimaging applications [10]. Systematic Evolution of Ligands by Exponential Enrichment (SELEX) is an in vitro selection process for aptamers that is used to find the best aptamer for a given target. It comprises of the three main phases of library formation, binding/separation, and nucleotide amplification [11]. The use of aptamer-conjugated nanoparticles (NPs) and their theragnostic applications in a variety of diseases, such as oncology, inflammatory, and viral diseases, with their in vitro selection procedure and their applications along were discussed, are presented in this review.

In vitro screening of aptamers with drug delivery potential

Systematic Evolution of Ligands by Exponential Enrichment (SELEX), an iterative process of exponential enrichment, is typically used to manufacture aptamers. In this procedure, aptamers are screened from a randomised ssDNA or RNA library. It is utilised to choose the aptamer from roughly 1012-10-15 combinatorial oligonucleotide libraries [12, 13] that has a high affinity towards the particular target. It consists of the three main phases depicted in fig. 1, which are the creation of the library, binding/separation, and nucleotide amplification. As indicated in table 1, SELEX methods based on proteins, cells, and animal models are currently often used to select the aptamers with drug delivery potential.

Fig. 1: Schematic illustration of SELEX protocol for aptamer identification (Reprinted from [13] with permission (RSC 2015))

Table 1: Comparison of the advantages and disadvantages between three SELEX approaches

Model Protein-based selex Cell-based selex In vivo selex References
Target Purified proteins Live cells CDX or PDX models [33]
All types of proteins Membrane protein Membrane protein [33]
Advantages Wide range of target Recognition of target with native form; without the prior knowledge about target proteins High biostability; high specificity; suitable for cancer metastasis model; capable of crossing the blood-brain barrier [34, 35]
Disadvantages Time-consuming, vague, and ineffective in recognising targets in their natural conformations Time consuming; failure for in vivo use High cost [33, 39, 40]

The food and drug administration approved only one aptamer (Pegaptanib, Macugen®) to date for the treatment of age-related macular degeneration (AMD) [15]. Pegaptanib is an RNA aptamer that specifically recognises and inhibits the human vascular endothelial growth factor (VEGF165) with high affinity (Kd 50 pM) [16]. Current studies describe the developments of these aptamer nanomedicines in clinical trials [17, 18]. Other therapeutic aptamers are currently being assessed in a variety of clinical trials, spanning from phase one to three. Here, a variety of SELEX techniques have been used to produce aptamers with efficient cell-targeting and internalising capabilities. The majority of these methods reflect one of two basic strategies: classic protein-based SELEX for binding to isolated membrane proteins or live cell-based SELEX [19, 20]. Several of the most used aptamers for cancer antigens are listed in table 2.

Table 2: Aptamers that bind cell-surface markers selected by protein-SELEX or cell-SELEX

Aptamer library Name of the aptamer Biomarker Type of SELEX References
RNA, DNA FB4, GS24 (DW4) mTfR Protein-SELEX [107]
2’F-RNA A9, A10 PSMA PSMA Protein-SELEX [106]
DNA Sgc8 PTK7 Cell-SELEX [109]
2‘F-RNA E07 EGFR Protein-SELEX [110]
Thio-DNA TA1-TA6 CD44 Protein-SELEX [111, 104]
2‘F-RNA c2, Waz CD71 (hTfR) Hybrid SELEX1 [115]
DNA AS1411 Nucleolin screening of G-rich oligos in cell lines [117, 118]
2’F-RNA GL56 Insulin receptor Cell-SELEX [119]
2’F-RNA B1, C1, E1 HER2 Cell-SELEX [113]
DNA C10, C10.36 CD19 (+) Burkitt lymphoma Cell-SELEX [121]

Hybrid SELEX = combination of protein-and cell-based SELEX.

As a result, with the introduction of SELEX, the invention technique has changed and improved in terms of efficiency and time-cost optimisation. Aptamers have had a lot of success, but they have some drawbacks that prohibit them from being widely used in many applications, especially in the biomedical sciences. The primary issue is aptamer degradation by nucleases in biological media. Modified nucleotides before or after the SELEX round, mirror image aptamers, and aptamer displacement screening are frequently employed to address this problem.

For instance, altering the 20-amino pyrimidine nucleoside sugar position, 20-fluoropyrimidine nucleosides [20-23], 20-O-methyl purine, and 20-O-methyl pyrimidine nucleosides or 30-and 50-nucleotides, located L-ribose or L deoxyribose in oligonucleotide backbone and displace aptamer with low-molecular-weight compound from the binding site of a target molecule, improve pharmacokinetics of the aptamer in blood. Regarding the second issue, increasing the size of the aptamer by conjugation with polyethylene glycol (PEG) and renal aptamer filtration is an effective technique to lengthen the bloodstream circulation period. The usage of polycationic biopolymers like porphyrin and converting an inactive aptamer to an active form are the most popular solutions to the third challenge linked to controlling the activity duration of aptamers [24, 25]. Furthermore, Cell-SELEX and in vivo SELEX negative selection [26], automated SELEX and CE–SELEX were used to avoid aptamer generation with purified target molecules, cross-reactivity of aptamer, and automation of aptamer generation limitations, respectively [27], SELEX has often been carried out on pure proteins, and it may be difficult to purify cell surface receptors in their correctly folded and changed conformations as a result, not many aptamers that bind cell surface receptors have been produced. Most surface receptors are actively internalised in response to ligand contact, and all cell surface proteins cycle intracellularly to some extent. Subsequently, various payloads have been conveyed into cells utilizing aptamers that tight spot cell surface receptors displayed in table 3.

Table 3: Cell surface protein aptamers and their applications

Receptor name RNA/DNA Choice technique Delivery usage Reference
Mucin-1 (MUC-1) DNA Recombinant peptides

Photodynamic therapy (PDT)

Radionuclide delivery

[123]
Prostate-specific membrane Antigen (PSMA) RNA Purified extracellular domain of PSMA siRNA delivery, cytotoxin delivery, Chemotherapeutic drug delivery and cellular imaging [124-128]
Immunoglobin heavy mu chain (IGHM) DNA Cell SELEX using Burkitt’s lymphoma cell line (Ramos) Micelle nanoparticles for drug delivery [129]
Tenascin-C (TN-C) RNA Purified TN-C In vivo tumor imaging [130]
Nucleolin DNA Not applicable Photodynamic therapy (PDT) tumor imaging [156]
Protein tyrosine kinase-7 (PTK7) DNA Cell SELEX using T-cell acute lymphoblastic leukemia (ALL) cell line Chemotherapeutic drug delivery [147]
gp120 RNA Purified recombinant gp120 siRNA delivery [141]
Epidermal growth factor receptor (EGFR) RNA RNA Purified extracellular domain of EGFR Nanoparticle delivery [155]
Transferrin receptor (TfR) RNA/DNA Purified extracellular domain of mouse TfR Protein targeting to lysosome [164]

CE microfluidic chips

The target molecules are incubated with a library of ssDNA. Binding sequence separation is accomplished via capillary electrophoresis. By using PCR to purify and amplify binding nuclear acids, an enriched pool of ssDNA is produced that is ready for additional rounds of selection. After two to four rounds of selection, high-affinity aptamers are frequently obtained [30, 31]. Additionally, the CE-SELEX approach has a higher partitioning efficiency than the conventional SELEX method, which reduces the number of rounds of SELEX to one to three [32]. The CE-SELEX typically takes less than an hour to incubate at room temperature. The targets' activity is also maintained during the brief incubation period [33].

Sol-gel microfluidic chips for screening of aptamers

A microfluidic device is used to incubate a library of ssDNA with protein sol-gel arrays in order to effectively select ssDNA aptamers against target molecules [34]. The number of selection cycles required to manufacture high-affinity aptamers was significantly decreased thanks to the sol-gel microfluidic devices. As a result, it may help enhance the selection of aptamers for these particular proteins and enable the separation of aptamers unique to many of the target proteins [35].

Magnetic-bead-based microfluidic chips for screening of aptamers

The random ssDNA library is first incubated with target proteins attached to magnetic beads in the microfluidic selection procedure. After incubation, the microfluidic chip performs the partitioning process to separate the target-bound aptamers from the unbound nuclear acids [36]. To continually elute weakly-and unattached nuclear acids from the microfluidic chip, strict washing conditions are established in the microchannel [37]. The external magnets are taken out following the separation, and the beads containing the chosen aptamers are liberated from the apparatus. On the chip, the full separation procedure, including bead elution, washing, and trapping, is carried out. The chosen Aptamers are then amplified by PCR. The SELEX technique has become more effective because to the use of magnetic beads to choose aptamers in a microchannel [38].

Cell selex

The cell SELEX involves the same procedures as a regular SELEX, including incubation, partitioning, and amplification. Both positive and negative selection are part of the crucial cell SELEX process. Negative selection is a crucial phase in the process since it helps the candidate Aptamer become more specific by removing the sequence that binds to healthy cells [39]. Various modified cell SELEX procedures have been developed over the past few years in an effort to increase the efficacy [40] and enrich the aptamer screening depicted in fig. 2.

Fluorescence-activated cell sorting SELEX [FACS-SELEX]

In this method, a cytometry device is used to separate the cell [target] which is bound to Aptamer, from the unbound Aptamer, which is based upon the principle of fluorescence and scattering. This technique developed in which the isolation and identification of the bound Aptamer to the target is carried out by using FACS device [41].

Cell internalization SELEX

The primary benefit of this approach, which is supported by numerous research, is that the aptamer is carried inside the cells as well as bound to the cell surface [42-44].

Fig. 2: Schematic illustration of the cell-SELEX. This procedure consists of four main steps for each round of selection: (i) counter-selection by incubating the nucleic acid library with negative cells (green cells) that do not express target antigens, (ii) a positive selection by incubating recovered unbound sequences with positive cells (tan cells) expressing cell-surface antigens (depicted in blue), (iii) recovery of target-bound sequences, and finally (iv) re-amplification of recovered species. (Reprint with permission from (44) Biomedicine 2017)

3D cell SELEX

This process, which is utilised to create the proper Aptamer against the target molecule, combines the three-dimensional [3D] cell culture and cell SELEX methods. Since 3D cell culture replicates or offers the natural cellular environment in which the cell grows, it is used in this method because it creates a physiologically acceptable setting that will aid in the improvement of the research and drug discovery processes. With the aid of magnetic levitation technology, the two-dimensional cell cultures are transformed into the three-dimensional cell structures [45].

Ligand gaided selection [LIGs]

Using this technique, an aptamer is created against a target cell's expressed epitope of interest [46].

Cross over SELEX

The Hicke's laboratory created this technique with the primary goal of creating aptamers with increased efficiency and avoiding creating aptamers against molecules or biomarkers expressed on target cells [47].

Counter SELEX

Negative SELEX and counter SELEX serve comparable functions, however, counter SELEX uses related target compounds as incubation subjects. Jenison et al. created the counter SELEX technique in 1994 to increase the specificity of aptamers [48]. Counter SELEX, in contrast to conventional SELEX, includes an additional phase that involves using structurally-similar targets to incubate with aptamers in order to successfully distinguish non-specific oligonucleotides [49, 50]. It should be noted that the usage of various incubation items is the primary distinction between counter SELES and negative SELEX [51].

Capillary electrophoresis SELEX

In general, it takes about more than 15 rounds to obtain aptamers using the conventional SELEX method, which is labor-intensive and time-consuming. In 2004, a modified SELEX method called capillary electrophoresis SELEX (CE-SELEX) was developed [53, 54]. CE-SELEX separates the target bounded sequences from unbound sequences by the difference in electrophoretic mobility, which is a highly efficient separation method.

In vivo SELEX

An in vivo-based SELEX technique was created by researchers to produce tissue-penetrating aptamers inside of animal models of the target disorders. Mi et al. attempted to choose aptamers inside a tumour of a living organism for the first time in 2010 [55]. With the exception of the selection target, the process for this in vivo SELEX is comparable to that of regular SELEX. In mice suffering intrahepatic tumours, a library of RNA aptamers modified with 2'-fluoropyrimidine was administered into the tail vein. The aptamers were then taken out of the liver tumours, amplified, and injected again into more mice carrying the same tumour. They were successful in choosing aptamers against the RNA helicase and p68 that had Kd values in the nano-molar range. Cheng et al. injected a 2'-fluoropyrimidine-modified RNA library into the mice in an effort to find aptamers that can cross the blood-brain barrier [56]. Fig. 3 shows the aptamers that were discovered using this method to adhere to brain capillary endothelia and enter the parenchyma.

Fig. 3: A) Schematic representation of the SELEX method. An initial DNA library (of typically 1014 molecules) is incubated with the solid support-bound target. Unbound DNA molecules are discarded while the active species are recovered, amplified by PCR, and injected into subsequent rounds of selection. The stringency of the selection protocol can bemodulated by altering physicochemical parameters such as concentration, pH, temperature, or buffer composition. At the end of the protocol, the enriched population is sequenced and the individual aptameric sequences evaluated for their capacity at binding to the target (10). B) Cell-process: Step 1 involves counter selection by incubating the RNA library with negative cells that do not express the target protein. Step 2 involves positive selection by incubating recovered unbound sequences with positive cells expressing the target protein. Step 3 involves recovery of target-bound sequences. Step 4 involves re-amplification of recovered species and generation of a new RNA pool for the next selection round. In vivo process: After intravenous administration and circulation of an RNA library in the animal model (step 1), the tissue or organ of pathological interest is harvested (step 2) and the bound sequences are extracted (step 3). Subsequently, the recovered RNA sequences arere–amplified to make a new RNA library for the next selection cycle (step 4) (30). Copyright 2018, reprinted with permission from Elsevier, (10) and Copyright 2017, Macmillan Publishers Limited, part of Springer Nature (30)

High-throughput sequencing SELEX

Up until now, traditional sanger sequencing analysis has been the primary technique for determining each individual sequence in the final enriched library. The finished library typically contains thousands of sequences, making it challenging to determine which one is the greatest aptamer. Additionally, the sequences with the highest affinity and specificity are not usually the ones that are most numerous in the final selection phase. The SELEX technique recently adopted High-Throughput Sequencing (HTS) technology [57, 58]. The first feature of HTS-SELEX that stands out is the ability to sequence the library during each round of selection. As a result, enriched sequences are evident at a much earlier round, saving time. Additionally, fewer selection rounds prevent the potential over-selection-related PCR bias [59]. Cho M et al. carried out the first high-throughput sequencing application in SELEX in 2010. Within three rounds, they found aptamers with Kd 3 nM that specifically bind to the PDGF-BB protein. After five rounds of selection, Berezhnoy et al. (2012) also used HTS-SELEX to find high-affinity aptamers against the IL-10 receptor [60, 61].

Aptamer based sensor

The aptasensor, which acts as a recognition site and is present over the aptamer, can be created using a variety of techniques and methodologies [62].

Electrochemical biosensors

The electrochemical aptasensors' primary benefits include their high sensitivity, compatibility with cutting-edge microfabrication techniques, intrinsic miniaturisation, and low cost. The manufacturing of electrochemical aptasensors employs a variety of techniques. Some of these include DPV (Differential Pulse Voltammetry), ETS (Electrochemical Impedance Spectroscopy), ECL (Electrogenerated Chemiluminescence), and Potentiometry using ISEs (Ion Selective Electrodes) [63-68]. It is simple to employ aptamers, which are oligonucleotides, as targeted agents in medicine administration [69] and even in the creation of biosensors to identify infectious agents. Aptamers can also target viral proteins linked to various viral infection phases, as illustrated in table 4.

Table 4: Summary of aptamers used in inflammatory and viral disease

S. No. Aptamer Target Action Reference
Spiegelmers NOX 2149 ORL-1R Decrease in pain and stress [66]
DEK-binding Nuclear chromatin protein DEK Juvenile idiopathic arthritis [64]
20–NH2-30-ligand (RNA) IFN-a Immunoregulatory [69]
SE RNA Hepatitis C virus NS3 Viral proliferation in chronic hepatitis [71]
DD7, ED1 (RNA) hNE-specific ligand A Anti-inflammatory [69]
LIGAND 1.1 HIV-1 RT Anti-HIV [64]
Aptamer M. G (RNA) Acetylcholine receptors Control of myasthenia gravis [77]
CD4-specific aptamer 14 (RNA) Antigen-presenting cells Immunosuppressant [79]
ADR58 (RNA) gp130 receptor Control of rheumatoid arthritis [66]
D7, ED1 (RNA) hNE-specific ligand Anti-inflammatory [77]
DEK-binding Nuclear chromatin protein DEK Juvenile idiopathic arthritis [78]
IGEL1.2 and D17.4 (DNA) Human IgE Antiallergic response [78]

Optical biosensors

Fluorescence-based APTA sensors

A fluorophore or nanoparticle that has been combined serves as the common foundation for this optical biosensor. For example, the cocaine-specific Aptamer was able to detect the target by using FRET [Fluorescence Quenching/Fluorescence Resonance Energy Transfer signal between fluorescence and DABCYL moiety [A Quencher] in this method for the fluorescence detection [74].

Colorimetric-based APTA sensors

This approach uses a unique color-changing reagent known as a colorimeter, such as AUNPs or another polymer [75]. In addition to the sensor mentioned above, other sensors, such as those used for SAW (Surface Ascoustic Wave), QCM (Quartz Crystal Microbalance), and microchannel cantilever sensor, have been utilised in conjunction with other types of analytical equipment [76-81].

Characterization of aptamers kinetics

Isothermal Titration Calorimetry (ITC), an approach based on thermodynamics [82], Microscale Thermophoresis Using surface plasmon resonance (SPR) technology, it is possible to characterise the aptamer and its target's affinity and kinetic characteristics in high throughput, real-time, and label-free manners [83]. The laser-based technique known as flow cytometry is frequently used to identify the binding properties of aptamers and entire cells. It can characterise the binding properties of aptamers and targets [84]. A fluorescent dye, such as FITC dye, is used to label the aptamer library before it is combined with the target cell. The level of fluorescence reveals how well the aptamer binds to the selected cell [85]. The ability to examine how aptamers bind to their targets is one of flow cytometry's most notable features.

Diagnostics or bio-sensing potential of aptamers

Bruno et al. created the first aptamer utilised as a diagnostic tool in 1999. To find anthrax spores, they used the aptamer chosen against Bacillus anthracic spores [86]. Aptamers have been extensively used to diagnose ophthalmology, cardiovascular illnesses, and cancer diseases up to this point. For instance, Wan et al. used aptamers against the common oncogene epidermal growth factor receptor (EGFR), which is overexpressed in many cancer types, to recognise cancer cells [87]. They immobilised anti-EGFR RNA aptamers on the surface of modified glass and discovered that these aptamers could highly precisely and sensitively trap glioblastoma cells. These findings suggested that aptamers could be employed for the early detection of cancer metastasis or for the detection of tumour cells. Two domains are present in the aptamer-based diagnostic tools: the targeting domain (aptamer) and the signalling domain (radionuclide or fluorescence). A DNA aptamer (XL-33) with a Kd value of 0.7 nM that might target metastatic colon cancer cells was chosen by Li et al. [88]. To visualise the cancer tissue, they further shortened the aptamer and added fluorescein amidite (FAM) to it [89]. Some example aptamers are sequentially given in table 5 to illustrate the features of recently created aptamers as diagnostic tools for biomedical usage.

Table 5: Examples of recently developed aptamers for the diagnosis of human diseases

Name Target Kd (nM) Sensitivity Specificity Reference
Cancers
SYL3-C Solid cancer epithelial cell adhesion molecule (EpCAM) 22.8 60% 100% (n = 3) [68]
XL-33 Metastatic colon cancer cells (SW620) 66.7% (n = 18 non-metastatic colon cancer tissues) 0.7 81.7% (n = 71) metastatic colon cancer tissues) 66.7% (n = 18 non-metastatic colon cancer tissues) [66]
LXL-1 Metastatic breast cancer cells (MDA-MB-231) 44.0 76% (n = 34) 100% (n = 8 cancer cell lines) [93]
GMT3 Glioblastoma multiforme cells (A172) 75.3 - 87.5% (n = 8 cancer cell lines) [69]
yl19 Cholangiocarcinoma cells (QBC-939) 42.4 - 100% (n = 6 cancer cell lines) [65]
Cardiovascular diseases
Myo 040-7-27 Myoglobin 4.93 10 pm - [27]
Infectious diseases
2008s Plasmodium falciparum lactate dehydrogenase 42–59 57 ng/ml No human LDH recognition [71]
LmWC-25R and LmHSP-7b/11R Leishmania promastigote and hydrophilic surface protein - 100 ng (parasite protein) - [72]

Because of its ease of use, sensitivity, and abundance of fluorophores and nucleic acid quenchers, allosteric aptamer-based fluorescence resonance energy transfer (FRET) for the detection of molecular targets represents a superb option. According to a study, a secondary antibody tagged with an easy-to-measure dye or enzyme can be linked to an RNA aptamer identified against the biomarker for inflammation, sepsis, and tissue necrosis known as C reactive protein [90, 91]. With an aptamer-based sandwich immunoassay, it is possible to identify C reactive protein in serum samples from both high-risk (>500 mg/l) and low-risk (1e3 mg/l) patients [92]. Sandwich immunoassays based on aptamers have evolved into high-throughput microarray-based diagnostics through innovation and the development of automated high-throughput aptamer separation [93, 94].

Rationale therapeutics of aptamers targeted drug delivery

The dynamic application of nanoparticle-aptamer technology goes beyond diagnostics to include targeted medicine administration. Delivering medications to cancer cells specifically using nanoparticle aptamer bioconjugates, is one of their most popular applications. Aptamers are being developed as therapeutics for a number of diseases, including cancer treatment, the prevention of Alzheimer's disease-related proteins [95, 96], protection against the pathological prion protein isoforms that cause Creutzfeldt-Jakob disease [97, 98]. Mycobacterium tuberculosis, and the treatment of hepatitis C virus (HCV). The most advanced aptamer in the potential treatment of cancer is AS1411. AS1411 aptamer binds nucleolin on the surface of cancer cells and induces apoptosis [99-102].

An further aptamer known as SM20, which was identified against the plasminogen activator inhibitor-1, has shown in vitro therapeutic promise as an antimetastatic drug and may be utilised as an adjunct to conventional chemotherapy for breast cancer [103]. Aptamer nanomaterials have also emerged as promising nanoplatforms for accurate ovarian cancer diagnosis by recognising pertinent biomarkers in the serum and on the surface of tumour cells. Aptamers have been recently isolated for the potential treatment of other cancers such as glioblastoma, T cell leukaemia, and epithelial cancer cells in the breast, colon, lung, ovaries, and pancreas [104, 105]. Additionally, for efficient ovarian cancer inhibition by target protein blocking on tumour cells and focused administration of different therapeutic agents, a list of diagnosis agents and treatments is provided in table 5.

Aptamer-short molecule conjugated systems

An aptamer-doxorubicin physical conjugate was created by Bagalkot et al. because doxorubicin can intercalate into aptamers [106]. They employed a prostate-specific membrane antigen (PSMA)-targeting 2'-fluoropyrimidine-modified RNA aptamer, which is mostly expressed on the surface of human prostatic adenocarcinoma (LNCaP) cells. They demonstrated that this combination has great specificity and affinity for PSMA-expressing LNCaP cells. The sgc8c DNA aptamer, which particularly targets T-cell acute lymphoblastic leukaemia cells, and doxorubicin were covalently joined together by Huang et al. [107]. As a result, the cellular toxicity of the sgc8c-Dox conjugates to non-target cells was decreased. A doxorubicin conjugated aptamer complex (TLS11a-GC-Dox) against HepG2 cells was recently created by Deng et al. [108].

Aptamer-nanomaterial conjugated systems

For targeted drug delivery, Luo et al. created an aptamer/hairpin DNA-AuNPs combination as a smart drug carrier. The protein tyrosine kinase 7 (PTK7) DNA aptamer sgc8c was initially assembled onto the surface of the AuNPs. Then, they added more doxorubicin, an anticancer medication, to the hairpin DNA's repeating d (CGATCG) sequence on the surface of the AuNPs. Such a conjugated compound might increase anti-tumor activity while reducing toxicity. A gold nanostar core and an AS1411 anti-nucleolin aptamer make up the nanoconstruct that Dam et al. created [109, 110]. Such a nanoconstruct accumulates five times more in invasive breast cancer tumours than in fibrosarcoma tumours in a tumor-specific way and without any acute harm. In 2009, Cao et al. created the first aptamer-liposome delivery method [111]. The anti-nucleolin aptamer sequence was originally given a 12-thymine spacer at the 3' end. The chemotherapeutic drug cisplatin (to induce anti-proliferation activity) or the hydrophilic dye calcein (to monitor internalisation) were encapsulated into the liposome core after the spacer was further attached with a cholesterol tag for the immobilisation on a PEGylated liposome hydrophobic surface [112, 113]. They discovered that this combination could administer cisplatin in a way that was particular to cancer cells. Other nanomaterials being utilized in blend with aptamers for designated organization incorporate block polymeric nanoparticles, carbon nanotubes, gold-attractive nanoparticles, Quantum Spot (QD) serum egg whites nanoparticles, and dendrimers displayed in table 6.

5.3. aptamer-RNA conjugated systems

For the purpose of delivering these functional RNAi to the target site, aptamers to be associated with microRNA (miRNA), small interfering RNA (siRNA), and short hairpin RNA (shRNA) have been widely investigated. Mcnamara et al. proposed the first aptamer-siRNA chimaera in 2006 [114]. They covalently joined therapeutic siRNAs that target the two survival genes PLK1 and BCL2, which are overexpressed in many patient malignancies, to an RNA aptamer against human PSMA (dubbed A10). The "GL21. t-let" aptamer-miRNA conjugate was created by Esposito et al. [115]. The oncogenic receptor tyrosine kinase Axl and the human let-7g miRNA, which functions as a gene-silencing moiety, could both be selectively bound to and antagonised by the aptamer (GL21. t) [116]. To target the suppression of Nonsense mRNA-Mediated Decay (NMD), Soldevilla et al. first discovered high-affinity aptamers against CD40 and then coupled CD40 agonist aptamer-shRNA chimaera. Additionally, Fernando Pastor et al. [117] demonstrated that costimulatory ligands can be delivered to tumour cells in situ by bi-specific oligonucleotide aptamer conjugates (4-1BB aptamer ligand-PSMA aptamer conjugates).

The advantages of using aptamers to functionalize nanomaterials for combination therapy

Aptamers are particularly ideal molecules to functionalize nanoparticles for actively targeted administration due to their excellent binding specificity and affinity as well as a number of other advantageous characteristics. Although none of the aptamer functionalized nanoparticles have yet been used in a clinical trial or application, multiple preclinical and animal studies have already shown their efficacy in the targeted delivery of anticancer medicines The proof-of-concept study of employing the aptamer to functionalize nanoparticles for actively targeted drug delivery was initially carried out by Farokhzad and Langer et al. in 2004 [118]. As a model drug, the authors created poly (lactic acid)-block-polyethylene glycol copolymer nanoparticles with a terminal carboxylic acid functional group (PLA-b-PEG-COOH). After encasing the nanoparticles in rhodamine-labeled dextran, the authors covalently attached the PSMA-targeting A10 RNA aptamer to the nanoparticles.

Zhen et al. created an aptamer-functionalized-liposome-CRISPR/Cas9 against Polo-like kinase 1 in prostate tumour cells using a post insertion method [119]. Similar to this, Liang et al. chose an aptamer that was unique to osteosarcoma cells and attached it to PEG-PEI-Cholesterol (PPC) lipopolymer that contained plasmids coding for CRISPR/Cas9 and VEGFA gRNA sequences [120]. They demonstrated cell-specific gene editing and tumour reduction. Dendrimers, chitosan, proteins/peptides, or hybrids are examples of other organic nanomaterials that have been applied. Numerous inorganic nanomaterials have also been investigated in this field, including calcium carbonate, zinc oxide, iron, graphene-based materials, gold (Au) compounds, silver (Ag), mesoporous silica, and others. Magnetic nanomaterials, quantum dot-based nanoparticles, and other unique inorganic nanomaterials are examples. Hybrids of organic and inorganic compounds that have been summarised have also been used. Table 7 provides a categorised list of these nanoparticles and nanomaterials together with information on their payloads, targets, associated tumours, etc. [121].

Table 6: Summary of aptamers used in nano-carriers for the treatment of malignant tumour

Nanomaterials

Drug

Aptamer Target cell lines Cancer type Therapy method Imaging Reference
Exosomes Doxorubicin sgc8 Ramos cells and CEM cells Lymphoblast Chemotherapy Fluorescence [158]
Organic
CA-PLGA-b-TPGS NPs Docetaxel AS1411 MCF-7 Breast cancer Chemotherapy Fluorescence [145]
Ru(bpy)32+-SiO2 NPs miRNA-21 AS1411 MCF-7 Breast cancer Chemotherapy Fluorescence [148]

Poly (ethylene glycol)-

poly (caprolactone) NPs

Docetaxel AS1411 GMT8 U87 cells Drain glioblastoma Chemotherapy Fluorescence [20]

Poly (ethylene glycol)-

poly (caprolactone) NPs

Docetaxel AS1411 C6 cells Brain glioma Chemotherapy Fluorescence [21]
Inorganic
CdTe/CdS quantum dots Doxorubicin MUC1 MCF-7 Breast cancer Chemotherapy Fluorescence [157]
Silver (Ag) nanocluster miR-34a MUC1 MCF-7 Breast cancer - Fluorescence [158]
Gold (Au) - AS1411 A375 Skin cancer

Photothermal

therapy (PTT)

Fluorescence [153]
Mesoporous SiO2 NPs Doxorubicin MUC1

MDA-MB-231

Cells

Breast cancer Chemotherapy SPECT [161]
Fe3O4 Doxorubicin PSMA LNCaP cells Prostate-cancer Chemotherapy MRI [161]
Au@ c-Fe2O3 NPs -

MUC-

1aptamer

L929

CHO HT-29

Colon cancer PTT MRI [166]

Fe3O4–Au

Nanocomposite

Epirubicin MUC-1 aptamer

MCF-7 and

HT-29

Breast and colorectal cancer Chemotherapy

Fluorescent

imaging

[163]
Fe3O4@carbon Doxorubicin

sgc8c

aptamers

A549 Lung cancer Chemo–PTT MRI imaging [164]

Fe3O4 co-loaded

(PEG-PLGA) NPs

Doxorubicin AS1411 C26 cells Colon carcinoma cancer Chemotherapy MRI [165]
Au@Ag/–S6 Aptamer S6 aptamer A549 Lung cancer PTT Fluorescence [160]
Au nanocage/SiO2 AS1411 MCF-7 Breast cancer PTT SERS imaging [161]

Table 7: Aptamer-mediated functionalized nanoparticles classified by nanomaterials and payloads

Type of nanoparticles

Payloads Aptamers Targets Cancers Reference

Lipid based

Nanoparticles

Liposomes Curcumin, Doxorubicin, Cabazitaxel, Cisplatin, CRISPR-Cas9 plasmid, Docetaxel, Doxorubicin, Paclitaxel, and PLK1 siRNA, TSP

A10, A15, AS1411,

HER3-Ap, PSMA-Ap, TLS1c

CD133, HER3, MEAR cells, Nucleolin, PSMA, PDGFR Breast cancer, DOX-resistant breast cancer, Hepatoma, lung cancer, prostate cancer [162, 131, 164-170]
PEGylated-liposome

5-FU, Doxorubicin,

Anti-BRAF siRNA

5TR1, AS1411, M49, Syl3c, TSA14,

CD200R1, EpCAM,

Mucin1, Nucleolin,

TUBO cells

Basal cell carcinoma, breast cancer, colon carcinoma, melanoma [170, 172, 175, 177-178]
Cationic liposome miR-139–5p EpCAM-Ap EpCAM EpCAM Colorectal Cancer [179]
DOTAP: DOPE liposome Doxorubicin SRZ1 Breast cancer 4T1 cells Breast cancer [180]

Hydrogel

based

nanoparticles

MCS nanogel Doxorubicin LNCaP-Ap LNCaP cell Prostate cancer [181]
RNA Hydrogel siRNA and miRNA LXL MDA-MB-231cell Triple-negative breast cancer [182]
DNA Hydrogel CpG ONT and Doxorubicin MUC1-Ap MUC1 Breast cancer [183]
Chitosan based nanoparticles Chitosan SN38 MUC1-Ap MUC1 Colon cancer [184]
Chitosan and HA SN38 MUC1-Ap MUC1 Colorectal adenocarcinoma [179]
HAS-CS Paclitaxel MUC1-Ap MUC1 Breast cancer [188]

Dendrimer

based

nanoparticles

PEG-PAMAM

dendrimer Nucleolin

5-fluorouracil, Camptothecin AS1411 Nucleolin Colorectal cancer, Gastric cancer [191]
DGL-PEG Doxorubicin, ATP-aptamer AS1411, Cyt c-Ap Nucleolin, Cyt c Cervical cancer [189]
ONT-PAMAM dendrimer Doxorubicin A9 PSMA Prostate cancer [194]
Dendrimer MicroRNA S6, sgc8c A549 cell, CCRF-CEM ALL, NSCLC [193]

Alkyl PAMAM

dendrimer Bcl-xL shRNA AS1411 Nucleolin Lung cancer

Bcl-xL shRNA AS1411 Nucleolin Lung cancer [195]

Polymer based

nanoparticles

PF127-_-CD-PEG-PLA Doxorubicin AS1411 Nucleolin Breast cancer [196]
pPEGMA-PCL-pPEGMA Doxorubicin AS1411 Nucleolin Pancreatic carcinoma [197]
PLL-alkyl-PEI shRNA AS1411 Nucleolin Lung cancer [198]
PEI EpCAM-siRNA EpCAM-Ap EpCAM Breast cancer, retinoblastoma [199]
PLA-PEG Rhodamine-labeled dextran A10 PSMA Prostate cancer [201]
PCL-MMA/MPEG-MASI Doxorubicin EpCAM-Ap EpCAM Colorectal cancer [200]
PLGA Docetaxel, Paclitaxel, Nutlin-3a, Salinomycin, Triplex forming oligonucleotide, Propranolol A10, A15, AS1411, L5, S2.2, EpCAM-Ap PSMA, CD133, EGFR, MUC1, Nucleolin, TAG-72 Breast cancer, hepatocellular carcinoma, hemangioma, human glial cancer, prostate cancer [20,42,191,203,204]
H40-PLA-PEG Doxorubicin A10 PSMA Prostate cancer [202]
PLGA-PEG

Cisplatin, Docetaxel,

Doxorubicin, Gemcitabine,

Paclitaxel, Salinomycin, Vinorelbine, PI3K-mTOR

inhibitor, anti-miR-21, and cisplatin,

A10, A15, AS1411, C2NP, EpCAM-Ap, Gint4. T, PSMA-Ap, S1.5, Wy5a CD30, CD133, EpCAM, HPA, Nucleolin, PC-3 cell, PGFR_, PSMA Breast cancer, glioblastoma, glioma, large cell lymphoma, lung cancer, NSCLC, osteosarcoma, cisplatin-resistant ovarian cancer, prostate cancer, TNBC [72,194,206,182]
PF127-β-CD-PEG-PLA Doxorubicin AS1411 Nucleolin Breast cancer [200]
PEI EpCAM-siRNA EpCAM-siRNA EpCAM-Ap EpCAM Breast cancer retinoblastoma [203]
PEG-PCL Docetaxel AS1411, GMT8, S15

Nucleolin, NSCLC,

U87 cells

Glioblastoma, glioma,

lung cancer

[210, 211, 214]
HPAEG Doxorubicin AS1411 Nucleolin Breast cancer [212]
PβAE and PLGA Epirubicin and antimir-21 5TR1 MUC1 Breast cancer MUC1 Breast cancer [200]
PBABT Docetaxel HER2-Ap HER2 Ovarian cancer [202]
PLGA, PVP Doxorubicin AS1411 Nucleolin Lung cancer [209]
M-PLGA–TPGS Docetaxel AS1411 Nucleolin Cervical cancer [218]

Protein/peptide

based

nanoparticles

Protamine (HSA) Doxorubicin, ALK-siRNA CD30-Ap CD30 Lymphoma [219]
Elastin-like polypeptide Paclitaxel S2.2 MUC1 Breast cancer [221]
Albumin

Cisplatin, Curcumin,

Doxorubicin

AS1411, EGFR-Ap, HB5 EGFR, HER2, nucleolin Breast cancer, cervical cancer [147, 85, 240]
Human IgG Genistein, miRNA-29b MUC1-Ap MUC1 NSCLC [222, 223

Nucleic acid

based

nanoparticles

Lipidated GC-rich

DNA hairpin

Doxorubicin and

2’,6’,-dimethyl-azobenzene

trCLN3 cMet cMet-expressing lung cancer [224]
Aptamer DNA Antisense ONT against P-gp sgc8c CCRF-CEM cell ALL [212]
DNA dendrimer Epirubicin MUC1-Ap, AS1411-Ap MUC1, AS1411 Breast and colon cancers [225]
DNA nanotube Doxorubicin C2NP CD30 Human anaplastic large CD30 cell lymphoma [241]
DNA icosahedra Doxorubicin MUC1-Ap] MUC1 Breast cancer [26]
DNA nanotrain

AKT inhibitor, DAU, DOX,

DNR, EPI, Gold

AS1411, LZH5B,

Sgc8, TA6

CD44, HepG2 cell,

nucleolin, PTK7

ALL, Breast cancer stem cell, cervical cancer, liver cancer [227, 228, 188, 192]
3WJ-RNA Doxorubicin Endo28 Annexin A2 Ovarian cancer [229]
DNA Holliday junction Doxorubicin AS1411 Nucleolin Colon cancer [220]
DNA

ALK-siRNA, Doxorubicin,

Paclitaxel

CD30-Ap, Gint4. T,

GMT8, Sgc4f, Sgc8, TC01

Cancer cells, CD30,

PDGFR_, PTK7,

U87MG cell

ALCL, ALL, Glioblastoma [231, 238]
DNA nano-ring Doxorubicin MUC1-Ap MUC1 Breast cancer [232]
DNA origami Antisense ONT, doxorubicin MUC1-Ap MUC1 MDR cervical cancer MUC1 MDR cervical cancer [187]

Nucleic acid

and peptide

hybrids

PAM (peptide +DNA ON) Peptide C10.36 HBLL B-cell leukemia [236]
KLA-DNA micelle Doxorubicin+KLA MUC1-Ap MUC1 Breast cancer [132]
ssDNA-ELP Docetaxel MUC1-Ap MUC1 Breast cancer [216]

Chitosan and

lipid hybrids

Chitosan-liposome Erlotinib EGFR-Ap EGFR EGFR-mutated cancer cells [213]
Chitosan-liposome PFOB and Erlotinib EGFR-Ap EGFR NSCLC [238]

Polymer and

chitosan

hybrids

PLGA-chitosan Epirubicin 5TR1 MUC1 Breast cancer, colon carcinoma [110]
Chitosan-ss-PEEUA TLR4-siRNA, AS1411 Nucleolin AS1411 Nucleolin Lung cancer [240]

Polymer and

lipid hybrids

Polymer-lipid

All-trans retinoic acid,

Curcumin and Cabazitaxel,

Salinomycin

A10–3.2, A15, CD20-Ap, CD133-Ap, CL4, EGFR-Ap

CD20, CD133, EGFR,

PSMA

Melanoma, osteosarcoma,

prostate cancer

[216]
PLGA-lecithin-PEG Paclitaxel, Curcumin AS1411, EpCAM Nucleolin

Breast cancer, colorectal

adenocarcinoma

[52]

DOTAP, PLGA,

cholesterol, Mal-PEG

P-gp siRNA A6 HER2 DOX-resistant breast cancer [241]
Lipid-PLGA All-trans retinoic acid CD133-Ap CD133 Lung cancer [150]
PLGA-lipid-PEG Docetaxel XEO2 mini PC3 cells Prostate cancer [243]
Lipid-polymer liposome siRNA A6 HER2 Breast cancer [244]

Quantum dot

based

nanoparticles

QD-PMAT-PEI PSMA siRNA PSMA-Ap PSMA Prostate cancer [18]
Quantum dots None S15 NSCLC Lung cancer [159]
Lipid-quantum dot siRNA EGFR-Ap EGFR Triple-negative breast cancer [145]

Other organic

Nanoparticles

PEG-aptamer micelle Aptamer FKN-S2 Fractalkine Colon adeno-carcinoma [123]
Atelocollagen MicroRNA A10–3.2 PSMA Prostate cancer [58]
Diacetylene-PEG None ACE4 Annexin A2 Breast cancer [56]
Ursolic acid Doxorubicin HER2-Ap HER2 HER2-carrying cells [125]
Tocopheryl PEG-PβAE Docetaxel AS1411 Nucleolin Ovarian cancer [75]
TD-PEC-chitosan miR-145 AS1411 Nucleolin Breast cancer [139]
LP-DNA SATB1 siRNA EGFR-Ap EGFR Choriocarcinoma [151]

Inorganic

Nanoparticles

Silver-PEG Irradiation AS1411 Nucleolin Glioma [246]
ZnO Doxorubicin S2.2 MUC1 Breast cancer [90]
Gold Anti-miR-155, Antisense ONT, Daunorubicin, Doxorubicin, TMPyP4, PTT A9, AIR-3A, AS1411, As42, CD30-Ap, CD33/CD34-Ap, KW16–13, UC1-Ap, sgc8c, U2

CCRF-CEM, CD30,

CD33/CD34, EGFR,

Ehrlich’s ACC, IL-6R, MCF10CA1h, MUC1, nucleolin, PSMA

ALL, AML, breast cancer, cervical cancer, Ehrlich carcinoma, glioblastoma, human breast duct carcinoma, lymphoma, lung cancer, prostate cancer [245, 129, 87]

Other

inorganic

nanoparticles

Gd: SrHap Doxorubicin AS1411 Nucleolin Breast cancer [236]

Organic and

inorganic

hybrids

BSA-PEG-Fe3+ Mn, Doxorubicin Glut-1-Ap Glut-1 Liver cancer [131]
MOF-UCNP Doxorubicin AS1411 Nucleolin Breast cancer [213]
Aminopropyl MSN Safranin O MUC1-Ap MUC1 Breast cancer [246]
PDA/PEG-coated MSN DM1 EpCAM-Ap EpCAM Colorectal cancer [221]
Gold-liposome Docetaxel, Morin AS1411, S2.2 Nucleolin, MUC1 Breast cancer, gastric cancer [247, 239]
Albumin-IONP/GNP Doxorubicin AS1411 Nucleolin Breast cancer [133]
CaCO3 and protamine CRISPR-Cas9 plasmid AS1411 Nucleolin NSCLC [248]
NMOF Doxorubicin AS1411, VEGF-Ap Nucleolin, VEGF Breast cancer [249]
β-CD-capped MSN Doxorubicin HApt HER2 HER2-positive cells [133]
TiO2 nanofiber with BSA None AS1411 Nucleolin Breast cancer CTCs [206]
PEG-Au-PAMAM Curcumin MUC1-Ap MUC1 Colon adenocarcinoma [191]
MPC-PAA/PEI Doxorubicin MUC1-Ap MUC1 Breast cancer, lung cancer [221]
Aminopropyl MSN Safranin O MUC1-Ap MUC1 Breast cancer [160]
Others type Ag-MOF-RBCm Doxorubicin CD20-Ap CD20 B-cell lymphoma [250]
Micro-emulsion Shikonin and docetaxel AS1411 and HA Nucleolin and CD44 Glioma [180]

Upconversion

nanoparticle

Protoporphyrin IX AS1411 Nucleolin Cervical cancer, lung cancer [251]
RBC membrane Doxorubicin, siRNA AS1411 Nucleolin MDR breast cancer [252]
FO-loaded MOF-RBCm Using PDT and CDT effects AS1411 Nucleolin KB Cell Line [253]
NIR PLN Afatinib MAGE-A3 MAGE NSCLC [254]
Cationic nanobubble FoxM1 siRNA A10–3.2 PSMA Prostate cancer [74]

For aptamers that do not have a name, “target-Ap” is used to represent the aptamer; for example, EpCAM-Ap represents the aptamer that targets EpCAM.

Future perspectives

Significant challenges that these restorative techniques face are discussed below for clinical interpretation. The limited choice of aptamers for clinical usage is one issue right away. Aptamers are single-stranded, short nucleic acids that have a propensity to debase in a nuclease-containing physiological environment. Meanwhile, in vitro selection was used to create the majority of aptamers in the literature. The likelihood of losing their affinity in the physiological milieu in vivo is high. As a result, novel SELEX procedures and aptamer stabilisation techniques are urgently required. Additionally, nothing is known about the in vivo pharmacokinetics, pharmacodynamics, and off-target consequences of aptamer-conjugated medicinal compounds.

Aptamer-functionalized systems are likely to acquire novel properties in size, structure, and surface charge compared to conventional materials-based nanomedicines. These traits could affect cellular uptake, biodistribution, metabolism, and excretion in vivo. Only a small number of studies have, to date, evaluated these therapeutic systems in vivo, and different experimental paradigms for the same nanocarriers have produced inconsistent results [122]. As a result, trustworthy and uniform animal models ought to be developed to enable systematic and widespread in vivo assessments of treatment candidates with aptamers attached [123].

Prior to conducting clinical trials, the biosafety issue around aptamer-based nanomedicines needs to be resolved. As aptamers for foreign nucleic acids may carry some hazards of genome insertion, it is important to comprehend immunological reactions. Additionally, some materials that have been functionalized by aptamers have cytotoxicity built right in. Systematic toxicity analyses of potential aptamers-integrated therapeutics must be carried out to guarantee biosafety for clinical trials, whereas artificial intelligence (AI), which includes machine deep-learning techniques, may be a useful tool for overcoming the aforementioned issues in the near future [124, 125]. Whatever the challenges, efforts are being undertaken to solve many of these problems. For example, researchers developed a number of material change and circularization techniques for aptamers that are susceptible to nuclease corruption in order to improve their serum strength, some of which essentially stabilised aptamers for lengthy in vivo research. With in vivo advancement techniques, progress has also been made in identifying potent aptamers.

Inferences of aptamers in clinical trials

Pegaptanib, which has been used to treat age-related macular degeneration, is the first commercial and therapeutic example of the usage of aptamers [126]. Antagonising vascular endothelial growth factor is what this aptamer does. Clinical models, however, have demonstrated that this aptamer has no significant impact on oncology applications. However, effective aptamers have been created for the treatment of cancer, such as NOXA12 and AS1411, which target nucleolin and have good clinical activity [262]. Due to its excellent nuclear resistance, the NOX-A12 aptamer with L-form also has a good half-life after 4 to 6 mo of treatment [128, 129]. The aptamer NOX-A12's clinical activity in the treatment of hematologic malignancies demonstrates that it not only decreased the receptivity of multiple myeloma cells to the bone marrow niche microenvironment but also successfully prevented their chemotaxis towards CXCL12 and decreased drug resistance by mediating cancer cell adhesion [130]. The effectiveness of this aptamer in combination with pembrolizumab for the treatment of metastatic colorectal and pancreatic cancer is still being investigated. Table 9 includes a summary of clinical activities involving aptamers that have been approved.

Table 9: Advance aptamers in clinical and preclinical trials

S. No. Aptamer

Nucleotide

Target Disease Reference
BT200 RNA vWF, Factor VIII von Willebrand disease Hemophilia A [263]
NU172 DNA Thrombin Heart [261]
EYE001 RNA VEGF Macular degeneration [261]
Zimura RNA Anti-c5 Age-Related Macular (pre-clinical [256]
Pegnivacogen RNA with 50 -PEG and 30 inverted dT Coronary artery disease Phase III completed Regado Biosciences Phase III completed Regado Biosciences [258]
68Ga-Sgc8 DNA PTK7 (CCK4) Colorectal cancer [264]
ARC1779 DNA vWF Thrombotic thrombocytopenic purpura [260]
REG1 RNA Coagulation Factor IX Coronary Artery [263]
NOX-E36 RNA CCL2 Type 2 Diabetes mellitus [257, 262]
AS1411 DNA Nucleolin Acute myeloid leukemia (AML) Nucleolin Acute myeloid leukemia (AML) [262]
E10030 DNA PDGF PDGF Age-Related Macular [258, 259]

CONCLUSION

Despite some gaps in their development for clinical applications, aptamers will be widely used in virus detection and therapy in the near future thanks to the development of new tools and the fusion of high-throughput sequencing with high-throughput binding analysis. Aptamers with high affinity and specificity for clinical use will also become more and more accessible and quick. A good targeting ligand for targeted therapy is an aptamer because of its high affinity and specificity. Different aptamer-based drug delivery techniques have been created, such as aptamer-chemotherapy agents, aptamer-siRNA/shRNA/miRNA, aptamer-antibody, aptamer-enzyme, and aptamer-nanoparticles, to deliver the drug precisely to the expected sites, reducing the risk of side effects brought on by the off-target effects.

ABBREVIATIONS

PDGFR platelet-derived growth factor receptor, PEC polyelectrolyte complexe, PEEUA polyethylenimine-urocanic acid, PEG polyethylene glycol, PEI polyethylene imine, PF127 Pluronic F127, PFK15 1-(4-pyridyl)-3-(2-quinoline)-2-propyl-1-one (an aerobic glycolysis inhibitor), PFOB Perfluorooctylbromide, PGFR-platelet-derived growth factor receptor, P-gp P-glycoprotein, PLA poly (lactic acid), PLGA poly (lactic-co-glycolic acid), PLK1 Polo-Like Kinase 1, PLL poly (L-lysine), pPEGMA-PCL-pPEGMA poly(poly(ethylene glycol) methacrylate)-poly(caprolactone)-poly(poly(ethylene glycol) methacrylate), PTK7 protein tyrosine kinase-7, PTT Photothermal therapy, PVP poly (N-vinylpyrrolidone), QD quantum dot, RBCm red blood cell membrane, SATB1 special AT-rich sequence binding protein 1, SPION superparamagnetic iron oxide nanoparticles, SPMFN Superparamagnetic Ferroarabinogalactan Nanoparticles, TAG-72 tumor-associated glycoprotein 72, TD thiolated dextran, TiO2 titanium dioxide, TLR Toll-like receptor TLR4-siRNA, TM-JM1/2 transmembrane-juxtamembrane 1/2 domain, TMPyP 5, 10, 15, 20-tetra (phenyl-4-N-methyl-4-pyridyl) porphyrin, TMPyP4 5,10,15,20-tetrakis(1-methylpyridinium-4-yl) porphyrin, TNBC triple-negative breast cancer, TPGS D-_-tocopheryl polyethylene glycol 1000 succinate, TSP thermosensitive polymer, UCNP up-conversion luminescent, NaYF4 Yb (3+)/Er (3+) nanoparticle, VEGF vascular endothelial growth factor, β-CD-cyclodextrin, 3WJ-RNA a highly stable three-way junction (3WJ) motif from phi29 packaging RNA, 5-FU 5-fluorouracil, ALCL anaplastic large cell lymphoma, ALK anaplastic lymphoma kinase, ALL acute lymphoblastic leukemia, also known as T-cell acute lymphoblastic leukemia, AML-M2 acute myeloid leukemia subtype 2, APTES (3-aminopropyl) triethoxysilane, BSA bovine serum albumin, cMet hepatocyte growth factor receptor, COOH (terminal) carboxylic acid group, CSC cancer stem cell, CTC circulating tumor cell, CUR-NP curcumin-loaded lipid-polymer-lecithin hybrid nanoparticle, Cyt c cytochrome c, DAU daunorubicin, DGL dendrigraftpoly-L-lysines, DOTAP 1,2-dioleoyl-3-trimethylammonium-propane, dsDNA double-stranded DNA, DSPE 1,2-distearoyl-sn-glycero-3-phosphoethanolamine, EGFR Epidermal growth factor receptor, EHH electrostatic adsorption, hydrogen bonding, and hydrophobic interaction, Ehrlich’s ACC Ehrlich’s ascites carcinoma cell, ELP elastin-like polypeptide, EpCAM epithelial cell adhesion molecule, FGFR1 fibroblast growth factor receptor type-1, FMSN fluorescent mesoporous silica nanoparticle, FN fibronectin, FO Ferric oxide, FoxM1 Forkhead box M1, Gd: SrHap gadolinium-doped luminescent and mesoporous strontium hydroxyapatite, GMNP gold-coated magnetic nanoparticle, GNP gold nanoparticle, GO Graphene oxide, GPN gefitinib-loaded poly (lactic co-glycolic acid) nanoparticle, GQD graphene quantum dot, GST glutathione S-transferase, HA Hyaluronic acid, HAS-CS human serum albumin coated with chitosan, HBLL human B cell leukemia and lymphoma, HCC Hepatocellular carcinoma, HER3 human epidermal growth factor receptor 3, His hexahistidine, HMME is a photosensitizer, HPA heparinase, HPAEG poly(2-((2-(acryloyloxy)ethyl)disulfanyl)ethyl4-cyano-4-(((propylthio)carbonothioyl)-thio)-pentanoate-co-poly(ethylene glycol) methacrylate), HSP71 heat shock cognate 71 kDa protein, HTT hyperthermia therapy, IL-6R interleukin-6 receptor, IONP Iron oxide nanoparticle, KG6E glutamic acid-modified dendritic poly(L-lysine) system, KLA (KLAKLAK)2 peptide, LP-DNA liposome-polycation-DNA, MAA methacrylamide, MAGE melanoma-associated peptide antigen, MAL maleimide, MASI N-(methacryloxy)succinimide, MCS Myristylated Chitosan, MMA methyl methacrylate, MOF (mesoporous) metal-organic framework, MPC mesoporous carbon, MPEG Poly(ethylene glycol) methyl ether, M-PLGA mannitol-functionalized poly(lactide-co-glycolide), MSN Mesoporous silica nanoparticle, mTEC mouse tumor endothelial cell, MDR multiple drug resistance, ONT oligonucleotide, PAA polyacrylic acid, PAM Peptide amphiphile micelle, PAMAM polyamidoamine, PBABT poly (butylene adipate-co-butylene terephthalate), PCL poly (ε-capro-lactone), MUC1 Mucin-1, NHS N-hydroxysuccinimide, NIR PLN near infrared-persistent luminescence nanomaterials, NMOF amino-triphenyl dicarboxylate-bridged Zr4+metal-organic framework nanoparticle, NSCLC non-small cell lung cancer.

FUNDING

Nil

AUTHORS CONTRIBUTIONS

All authors are contributed equally.

CONFLICTS OF INTERESTS

The authors declare no conflict of interest.

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