Specific Target Research Articles

A novel carboxylesterase 2-targeted fluorescent probe with cholic acid as a recognition group for early diagnosis of drug- and environment-related liver diseases

Due to the detrimental effects of various harmful substances—such as carcinogens, drug toxicity, and environmental pollutants—on the liver, which can trigger or exacerbate conditions like hepatocellular carcinoma (HCC), drug-induced liver injury (DILI), and non-alcoholic fatty liver disease (NAFLD), accurate detection and monitoring of these diseases are crucial for effective treatment. Carboxylesterase 2 (CES2) is primarily found in the liver and, as a potential biomarker, its accurate detection can enhance the early diagnosis and treatment efficacy of liver diseases. Traditional fluorescence probes for CES2 detection suffer from non-specific recognition groups, leading to poor targeting specificity. To address this limitation, we propose a novel CES2-responsive fluorescent probe utilizing cholic acid (CA) as a recognition group. The probe, LAN-CA, was synthesized by esterifying CA with a near-infrared fluorophore, LAN-OH. This novel fluorescent probe leverages the unique affinity of CA for hepatocytes, ensuring that LAN-CA remains and accumulates specifically within the hepatoenteric circulation. In vitro experiments showed that the probe exhibits superior optical performance compared to traditional benzoate-based probe (LAN-PH), with a detection limit of 0.015 μg/mL. Examination of 56 common biological interferents demonstrated that using CA as a recognition group offers high selectivity. Cell experiments confirmed that LAN-CA is an effective tool for monitoring endogenous CES2 in live cells. Comprehensive evaluations of fluorescence imaging in various mouse models of liver diseases, such as HCC, DILI, and NAFLD, demonstrated that LAN-CA provides exceptional imaging accuracy and therapeutic monitoring capabilities. In conclusion, this probe not only can be a promising tool for accurate liver disease diagnosis, but also can provide valuable insights into treatment efficacy.

Phyto-nanotechnology: A novel beneficial strategy for Alzheimer's disease therapy

Alzheimer's disease, a neurodegenerative condition, is characterized by the slow and progressive deterioration of the cognitive functions of geriatric patients. It occurs due to exacerbation of neurons in the brain, indicated by loss of memory, mood instability, and even death. The aggregation of amyloid β protein and neurofibrillary tangles-atypical forms of tau protein is the major cause of this disease. Phytoconstituents have been frequently employed in treating Alzheimer's disease. These natural compounds act through different molecular mechanisms to treat the disease. However, their potential in Alzheimer's disease therapy may be limited due to poor blood-brain barrier permeability, off-target effects, low bioavailability, etc. In recent times, nanotechnology has gained attraction to overcome these challenges. This article focuses on the potential phytoconstituents for Alzheimer's disease treatment and the associated limitations. Moreover, it highlights various nanoformulation strategies employed to penetrate the blood-brain barrier effectively, avoid side effects, improve bioavailability, and target specificity in treating Alzheimer's disease. The integration of nanotechnology with plant-derived compounds has the potential to revolutionize the therapeutic landscape for Alzheimer's disease.

Novel targeting liposomes with enhanced endosomal escape for co-delivery of doxorubicin and curcumin

Effective endosomal escape is crucial for enhancing the efficiency of nanodrug delivery systems. In this study, we developed a novel liposomal system utilizing acid-sensitive N-(3-amino-propyl) imidazole cholesterol (IM-Chol), specifically designed for the targeted co-delivery of doxorubicin (DOX) and curcumin (CUR) to hepatocellular carcinoma (HCC). Designated as GA-IM-LIP@DOX/CUR, this liposomal system incorporates glycyrrhetinic acid (GA) to improve target specificity toward HCC cells. Notably, both drugs exhibited pH-sensitive release profiles, facilitating precise drug release within acidic environments. Our investigation into cellular uptake demonstrated that modified liposomes, GA-IM-LIP@FITC and IM-LIP@FITC, achieved progressively enhanced intracellular accumulation of FITC compared to unmodified liposomes. Competitive inhibition assays utilizing free GA further validated the targeting efficacy of GA. Moreover, the GA-IM-LIP@FITC and IM-LIP@FITC groups exhibited rapid endosomal escape of FITC within the first two hours, in contrast to delayed escape observed in the LIP@FITC group, confirming that the protonation of IM-Chol promotes drug release into the cytosol. In vivo studies substantiated that GA-IM-LIP@DOX/CUR effectively inhibited tumor growth. This research provides significant insights into the design and functionality of the GA-IM-LIP@DOX/CUR liposomal system, underscoring its potential to enhance drug delivery strategies in the treatment of HCC.

Chem-CRISPR/dCas9FCPF: a platform for chemically induced epigenome editing.

Epigenetic aberration is one of the major driving factors in human cancer, often leading to acquired resistance to chemotherapies. Various small molecule epigenetic modulators have been reported. Nonetheless, outcomes from animal models and clinical trials have underscored the substantial setbacks attributed to pronounced on- and off-target toxicities. To address these challenges, CRISPR/dCas9 technology is emerging as a potent tool for precise modulation of epigenetic mechanism. However, this technology involves co-expressing exogenous epigenetic modulator proteins, which presents technical challenges in preparation and delivery with potential undesirable side effects. Recently, our research demonstrated that Cas9 tagged with the Phe-Cys-Pro-Phe (FCPF)-peptide motif can be specifically targeted by perfluorobiphenyl (PFB) derivatives. Here, we integrated the FCPF-tag into dCas9 and established a chemically inducible platform for epigenome editing, called Chem-CRISPR/dCas9FCPF. We designed a series of chemical inhibitor-PFB conjugates targeting various epigenetic modulator proteins. Focusing on JQ1, a panBET inhibitor, we demonstrate that c-MYC-sgRNA-guided JQ1-PFB specifically inhibits BRD4 in close proximity to the c-MYC promoter/enhancer, thereby effectively repressing the intricate transcription networks orchestrated by c-MYC as compared with JQ1 alone. In conclusion, our Chem-CRISPR/dCas9FCPF platform significantly increased target specificity of chemical epigenetic inhibitors, offering a viable alternative to conventional fusion protein systems for epigenome editing.

Vincristine in Cancer Therapy: Mechanisms, Efficacy, and Future Perspectives.

Cancer remains one of the predominant causes of mortality globally, accounting for over 10 million deaths each year. Despite advancements in medical treatments, the challenge of resistance and treatment failure persists, necessitating innovative approaches. Traditional cancer treatments include surgery, chemotherapy, radiation therapy, and pharmaceutical therapy. In recent years, significant attention has been directed towards plant-derived compounds as potential chemotherapeutic agents and preventive measures against cancer. Vincristine, a distinguished alkaloid derived from plant secondary metabolites, has shown considerable efficacy in cancer treatment. As a member of the antimitotic class of compounds, vincristine disrupts the cell cycle by causing aberrations in microtubule function, thereby inhibiting cell division and proliferation. This mechanism of action positions vincristine as a potent agent against various malignancies. Its role in combination therapy is crucial, as it is often administered in low doses alongside other chemotherapeutic agents to enhance its efficacy and reduce the risk of resistance. In the realm of medicinal chemistry, understanding vincristine's molecular mechanism is paramount. Detailed investigations into its interaction with cellular components can provide insights into its antineoplastic properties. This review aimed to elucidate vincristine's mechanism of action and structure-activity relationship, and summarize current in vitro and in vivo studies evaluating its efficacy. Moreover, it discusses innovative strategies, including nanotechnology-based delivery systems, designed to optimize vincristine formulations. These advanced delivery systems aim to improve bioavailability, target specificity, and minimize systemic toxicity. This comprehensive analysis underscores the critical role of vincristine in contemporary cancer treatment and highlights future directions for research and development in this field.

Review on Thiazolo-triazole as a Promising Anticancer Agent

Thiazolo-Triazole is a fused ring heterocyclic system consisting of three nitrogen atoms and one Sulphur atom shows wide range of biological activities. Cancer is the second leading cause of death worldwide. In past few decades, there has been a crucial necessity for the design and development of innovative anticancer drugs that can diminish the serious health problems and unwanted side effects associated with presently used anticancer drugs. Many anticancer drugs are commercially accessible, but nonexistence of selectivity, target specificity, cytotoxicity, and development of resistance lead to serious side effects. Several experiments have been going on to develop compounds with negligible or no side effects. The thiazole and triazole heterocyclic are well-recognized to possess abundant pharmacological activities, including predominantly anticancer, as revealed by various investigations on anticancer compounds and the latest research findings pointed out that to study the anticancer potential of thiazolo-triazole compounds in single scaffold.

Multi-Omic Approaches in Cancer-Related Micropeptide Identification.

Despite the advances in modern cancer therapy, malignant diseases are still a leading cause of morbidity and mortality worldwide. Conventional treatment methods frequently lead to side effects and drug resistance in patients, highlighting the need for novel therapeutic approaches. Recent findings have identified the existence of non-canonical micropeptides, an additional layer of the proteome complexity, also called the microproteome. These small peptides are a promising class of therapeutic agents with the potential to address the limitations of current cancer treatments. The microproteome is encoded by regions of the genome historically annotated as non-coding, and its existence has been revealed thanks to recent advances in proteomic and bioinformatic technology, which dramatically improved the understanding of proteome complexity. Micropeptides have been shown to be biologically active in several cancer types, indicating their therapeutic role. Furthermore, they are characterized by low toxicity and high target specificity, demonstrating their potential for the development of better tolerated drugs. In this review, we survey the current landscape of known micropeptides with a role in cancer progression or treatment, discuss their potential as anticancer agents, and describe the methodological challenges facing the proteome field of research.

Organic fungicides and diphenylamine shift microbiomes of ‘Fuji’ apples during storage

The native microbiome plays an important role in biocontrol efficacy, but less is known about how the microbiome responds to conventional and organic natural product fungicides. This study investigated the effects of the conventional fungicide fludioxonil and the organic fungicide natamycin, with and without the superficial scald inhibitor diphenylamine (DPA) on the microbiomes of ‘Fuji’ apples from 1 to 28 d of storage at 0.5 °C plus 7 d at 20 °C. We hypothesized that fungicide applications would shift the microbiome, with a more pronounced effect from natamycin due to the target specificity of fludioxonil. We also predicted that the antioxidant properties of DPA would shift both bacterial and fungal microbiomes. We found that natamycin resulted in modest fungal shifts and fludioxonil resulted in no observed shifts, while DPA strongly affected the fungal microbiome over time. Chemical treatment was not a predictor of bacterial microbiome variation, but bacterial communities shifted throughout storage. However, many of the trends that occurred during storage were reversed during the 7-d shelf life period at 20 °C after storage. Time in cold storage decreased the relative abundance of Pseudomonas, while DPA application reduced the relative abundance of Aureobasidium, both notable biocontrol genera. These results highlight how chemical applications such as DPA may have unintended effects on beneficial microbes that protect fruit from pathogen infection.

Molecular programs guiding arealization of descending cortical pathways.

Layer 5 extratelencephalic (ET) neurons are present across neocortical areas and send axons to multiple subcortical targets1-6. Two cardinal subtypes exist7,8: (1) Slco2a1-expressing neurons (ETdist), which predominate in the motor cortex and project distally to the pons, medulla and spinal cord; and (2) Nprs1- or Hpgd-expressing neurons (ETprox), which predominate in the visual cortex and project more proximally to the pons and thalamus. An understanding of how area-specific ETdist and ETprox emerge during development is important because they are critical for fine motor skills and are susceptible to spinal cord injury and amyotrophic lateral sclerosis9-12. Here, using cross-areal mapping of axonal projections in the mouse neocortex, we identify the subtype-specific developmental dynamics of ET neurons. Whereas subsets of ETprox emerge by pruning of ETdist axons, others emerge de novo. We outline corresponding subtype-specific developmental transcriptional programs using single-nucleus sequencing. Leveraging these findings, we use postnatal in vivo knockdown of subtype-specific transcription factors to reprogram ET neuron connectivity towards more proximal targets. Together, these results show the functional transcriptional programs driving ET neuron diversity and uncover cell subtype-specific gene regulatory networks that can be manipulated to direct target specificity in motor corticofugal pathways.

Unveiling human biomechanics: insights into lower limb responses to disturbances that can trigger a fall.

Slip-related falls are a significant concern, particularly for vulnerable populations such as the elderly and individuals with gait disorders, necessitating effective preventive measures. This manuscript presents a biomechanical study of how the lower limbs react to perturbations that can trigger a slip-like fall, with the ultimate goal of identifying target specifications for developing a wearable robotic system for slip-like fall prevention. Our analysis provides a comprehensive understanding of the natural human biomechanical response to slip perturbations in both slipping and trailing legs, by innovatively collecting parameters from both the sagittal and frontal plane since both play pivotal roles in maintaining stability and preventing falls and thus provide new insights to fall prevention. We investigated various external factors, including gait speed, surface inclination, slipping foot, and perturbation intensity, while collecting diverse data sets encompassing kinematic, spatiotemporal parameters, electromyographic data, as well as torque, range of motion, rotations per minute, detection, and actuation times. The biomechanical response to slip-like perturbations by the hips, knees, and ankles of the slipping leg was characterized by extension, flexion, and plantarflexion moments, respectively. In the trailing leg, responses included hip flexion, knee extension, and ankle plantarflexion. Additionally, these responses were influenced by gait speed, surface inclination, and perturbation intensity. Our study identified target range of motion parameters of 85.19°, 106.34°, and 95.23° for the hips, knees, and ankles, respectively. Furthermore, rotations per minute values ranged from 17.85 to 51.10 for the hip, 21.73 to 63.80 for the knee, and 17.52 to 57.14 for the ankle joints. Finally, flexion/extension torque values were estimated as -3.05 to 3.22 Nm/kg for the hip, -1.70 to 2.34 Nm/kg for the knee, and -2.21 to 0.90 Nm/kg for the ankle joints. This study contributes valuable insights into the biomechanical aspects of slip-like fall prevention and informs the development of wearable robotic systems to enhance safety in vulnerable populations.

ImmunoPET imaging of EpCAM in solid tumours with nanobody tracers: a preclinical study.

Epithelial cell adhesion molecule (EpCAM) is a potential therapeutic target and anchoring molecule for circulating and disseminated tumour cells (CTC/DTC) in liquid biopsy. In this study, we aimed to construct EpCAM-specific immuno-positron emission tomography (immunoPET) imaging probes and assess the diagnostic abilities in preclinical cancer models. By engineering six single-domain antibodies (e.g., EPCD1 - 6) targeting EpCAM of different binding properties and labelling with 68Ga (T1/2 = 1.1 h) and 18F (T1/2 = 110 min), we developed a series of EpCAM-targeted immunoPET imaging probes. The probes' pharmacokinetics and diagnostic accuracies were investigated in cell-derived human colorectal (LS174T) and esophageal cancer (OE19) tumour models. Based on in vitro binding affinities and in vivo pharmacokinetics of the first three tracers ([68Ga]Ga-NOTA-EPCD1, [68Ga]Ga-NOTA-EPCD2, and [68Ga]Ga-NOTA-EPCD3), we selected [68Ga]Ga-NOTA-EPCD3 for tumour imaging which showed an average tumour uptake of 2.06 ± 0.124%ID/g (n = 3) in LS174T cell-derived tumour model. Development and characterisation of [18F]AIF-RESCA-EPCD3 showed comparable tumour uptake of 1.73 ± 0.0471%ID/g (n = 3) in the same tumour model. Further validation of [68Ga]Ga-NOTA-EPCD3 in OE19 cell-derived tumour model showed an average tumour uptake of 4.27 ± 1.16%ID/g and liver uptake of 13.5 ± 1.30%ID/g (n = 3). Near-infrared fluorescence imaging with Cy7-EPCD3 confirmed the in vivo pharmacokinetics and relatively high liver accumulation. We further synthesized another three 18F-labeled nanobody tracers ([18F]AIF-RESCA-EPCD4, [18F]AIF-RESCA-EPCD5, and [18F]AIF-RESCA-EPCD6) and found that [18F]AIF-RESCA-EPCD6 had the best pharmacokinetics with low background. [18F]AIF-RESCA-EPCD6 showed explicit uptake in the subcutaneously inoculated OE19 tumour model with an average uptake of 4.70 ± 0.26%ID/g (n = 3). In comparison, the corresponding tumour uptake (0.17 ± 0.25%ID/g, n = 3) in the EPCD6 blocking group was substantially lower (P < 0.001), indicating the targeting specificity of the tracer. We developed a series of 68Ga/18F-labeled nanobody tracers targeting human EpCAM. ImmunoPET imaging with [18F]AIF-RESCA-EPCD6 may facilitate better use of EpCAM-targeted therapeutics by noninvasively displaying the target's expression dynamics.

Fabrication of albumin-Ti3C2 MXene quantum dots-based nanohybrids for breast cancer imaging and synergistic photo/chemotherapeutics

Advancement in the development of new materials with theranostic and phototherapeutic potential along with receptiveness to external stimuli has been persistently inspiring oncology research. Herein, titanium carbide-based MXene quantum dots (FHMQDs) have been synthesized and modified to take advantage of stimuli-responsive behavior and target specificity for breast cancer cells. With a size of around 3 nm, the developed FHMQDs demonstrate high fluorescent emission at around 460 nm. With ∼90 % encapsulation efficiency of doxorubicin (DOX), the developed system also offers rapid DOX release behavior when encountering an acidic pH (5.4). Further, the in vitro assessment of the developed FHMQDs on MDA-MB 231 breast cancer cells presents excellent target specificity to cancer cells which was reflected by its high cytotoxicity against cancer cells. Additionally, the outstanding photodynamic efficiency of FHMQDs due to excessive Reactive Oxygen Species (ROS) generating ability along with apoptosis promoting capability of FHMQDs in cancer cells demonstrates a synergistic approach in cancer theranostics. Encouragingly, the fabricated FHMQDs also exhibited fluorescent labelling and bioimaging capacity which makes it an incredible platform that ensures theranostic excellence in breast cancer research.

DxGoals: A Software Tool for Determining and Analyzing Clinically Meaningful Classification Accuracy Goals for Diagnostic Tests.

To evaluate diagnostic tests for low prevalence conditions, classification accuracy metrics such as sensitivity, specificity, and positive likelihood ratio (PLR) and negative likelihood ratio (NLR) are advantageous because they are prevalence-independent and thus estimable in studies enriched for the condition. However, classification accuracy goals are often chosen without a clear understanding of whether they are clinically meaningful. Pennello (2021) proposed a risk stratification framework for determining classification accuracy goals. A software application is needed to determine the goals and provide data analysis. We introduce DxGoals, a freely available, R-Shiny software application for determining, visualizing, and analyzing classification accuracy goals for diagnostic tests. Given prevalence p for the target condition and specification that a test's positive and negative predictive values PPVand NPV=1-cNPV should satisfy PPV>PPV* and cNPV<cNPV*, DxGoals uses Bayes Theorem to determine equivalent goals for PLR and NLR and implied goals for sensitivity and specificity. When study data are provided, DxGoals analyzes whether the determined goals are met with statistical significance. When comparing 2 tests, DxGoals translates a superiority or noninferiority goals for the differences PPV-p and p-cNPV to equivalent goals for PLR and NLR and analyzes the goals when data are provided. We illustrate DxGoals on tests for penicillin allergy, ovarian cancer, and cervical cancer. The inputs cNPV*,p, and PPV* were informed by clinical management guidelines. DxGoals facilitates determination, visualization, and analysis of clinically meaningful standalone and comparative classification accuracy goals. It is a potentially useful tool for diagnostic test evaluation.

AI-accelerated therapeutic antibody development: practical insights

Antibodies represent the largest class of biotherapeutics thanks to their high target specificity, binding affinity and versatility. Recent breakthroughs in Artificial Intelligence (AI) have enabled information-rich in silico representations of antibodies, accurate prediction of antibody structure from sequence, and the generation of novel antibodies tailored to specific characteristics to optimize for developability properties. Here we summarize state-of-the-art methods for antibody analysis. This valuable resource will serve as a reference for the application of AI methods to the analysis of antibody sequencing datasets.

Affibody-based molecular probe 99mTc-(HE)3ZHER2:V2 for non-invasive HER2 detection in ovarian and breast cancer xenografts.

This study aimed to assess the biodistribution and bioactivity of the affibody molecular probe 99mTc-(HE)3ZHER2:V2, prepared by genetic recombination, and to investigate its potential for targeted human epidermal growth factor receptor 2 (HER2) imaging in SKOV3 ovarian cancer and MDA-MB-361 breast cancer xenografts. Affibody molecules were generated through genetic recombination. The radiochemical purity of the 99mTc-labeled HER2 affibody was determined using reverse phase high performance liquid chromatography (RP-HPLC). Evaluation of HER2 affinity in SKOV3 ovarian cancer cells and MDA-MB-361 breast cancer cells (HER2-positive) was conducted by calculating equilibrium dissociation constants. Biodistribution of the 99mTc-labeled affibody molecular probe was assessed in Balb/c mice bearing SKOV3 tumors. Tumor targeting specificity was evaluated in Balb/c mice using SKOV3, MDA-MB-361, and AT-3 (HER2-negative) xenografts. Affibody (HE)3ZHER2:V2, generated through recombinant gene expression, was successfully labeled with 99mTc, achieving a radiochemical purity of (96.0 ± 1.7)% (n = 3) as determined by RP-HPLC. This molecular probe exhibited specific binding to HER2-positive SKOV3 cells, demonstrating intense radioactive uptake. Biodistribution analysis showed rapid accumulation of 99mTc-(HE)3ZHER2:V2 in HER2-positive tumors post-administration, primarily clearing through the urinary system. Single-photon emission computed tomography imaging conducted 1-3 h after intravenous injection of 99mTc-(HE)3ZHER2:V2 into HER2-positive SKOV3 and MDA-MB-361 nude mouse models confirmed targeted uptake of the molecular probe by the tumors. The molecular probe 99mTc-(HE)3ZHER2:V2 developed in this study effectively targets HER2 for imaging HER2-positive SKOV3 and MDA-MB-361 xenografts in vivo. It exhibits rapid blood clearance without evident toxic effects, suggesting its potential as a valuable marker for detecting HER2 expression in tumor cells.

Transferrin-conjugated UiO-66 metal organic frameworks loaded with doxorubicin and indocyanine green: A multimodal nanoplatform for chemo-photothermal-photodynamic approach in cancer management

Stimuli-responsive nanoplatforms have been popular in controlled drug delivery research because of their ability to differentiate the tumor microenvironment from the normal tissue environment in a spatiotemporally controllable manner. The synergistic therapeutic approach of combining cancer chemotherapy with photothermal tumor ablation has improved the therapeutic efficacy of cancer therapeutics. In this study, a UiO-66 metal organic framework (MOF)-based system loaded with doxorubicin (DOX), surface decorated with the photothermal agents indocyanine green (ICG) and polydopamine (PDA), and conjugated with transferrin (TF) was successfully designed to operate as a responsive system to pH changes, featuring photothermal capabilities and target specificity for the purpose of treating breast cancer. The synthesized nanoplatform benefits from its uniform size, excellent DOX encapsulation efficiency (91.66 %), and efficient pH/NIR-mediated controlled release of the drug. In vitro photothermal studies indicate excellent photothermal stability of the formulation even after 6 on–off cycles of NIR irradiation. The in vitro cytotoxicity assessment using an NIR laser (808 nm) revealed that the DOX-loaded functionalized UiO-66 nanocarriers had outstanding inhibitory effects on 4T1 cells because of synergistic chemo-photo therapies, with no substantial toxicity by the carriers. In addition, cellular uptake evaluations revealed that UiO-DOX-ICG@PDA-TF could specifically target 4T1 cells on the basis of receptor-mediated internalization of transferrin receptors. Additionally, in vivo toxicity studies in Wistar rats indicated no signs of significant toxicity. The UiO-based nanoformulations effectively inhibited and destroyed cancer cells under 808 nm laser irradiation because of their minimal toxicity, strong biocompatibility, and outstanding synergistic chemo/photothermal/photodynamic treatment.

Myrtleciclib, a CDK4/6/9 Inhibitor for the Treatment of Aggressive Cancers.

Selective Cyclin-Dependent Kinase 4/6 inhibitors (CDK4/6i) have revolutionized the treatment of breast cancer and have potential in other cancers, being manageable drugs yet with some bone marrow toxicity. Selective CDK9 inhibitors (CDK9i) never advanced into clinical use, partly due to side effects, including gastrointestinal toxicity, and a small window between activity and cytotoxicity, which results in a narrow therapeutic index (TI). To overcome the drawbacks of CDK4/6 and CDK9 inhibitors, we have developed myrtleciclib, a selective CDK4/6/9 inhibitor with few non-critical molecular off-targets. Myrtleciclib appears to bind to an allosteric site, unlike all other CDK4/6i and CDK9i acting by an ATP-competitive mechanism, which supports target specificity. Myrtleciclib's anti-proliferative effects are greater and its Therapeutic Index (TI) is broader than CDK9 and CDK4/6-only inhibitors. This can be explained by a moderate target inhibition, resulting in limited cytotoxicity. Moreover, we documented a synergy between CDK9 and CDK4/6 pathways inhibition, justifying increased drug efficacy, yet such synergy can only be achieved when the inhibition of both CDK9 and CDK4/6 is embedded within the same molecule and balanced within a certain ratio, as it is the case with myrtleciclib. Unlike CDK4/6i, myrtleciclib also induces cell death and apoptosis selectively on cancer cell lines, not on bystander cells. Synergy between myrtleciclib and other drugs with complementary Mechanism of Action (MoA) has also been documented. CDK4/6/9i might represent a new frontier in cancer treatment to overcome the limitations of CDK4/6i and CDK9i for the treatment of cancers, including aggressive cancers with high unmet needs.

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 (2μL) at 25°C with a higher sensitivity (LOD 1.3fM) without any reverse transcription or amplification. MicroLOCK can hybridize the target with fast kinetic (about 30min), 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.

Ellagic acid improves the symptoms of early-onset Alzheimer's disease: Behavioral and physiological correlates

Oryza sativa is a globally recognized staple food, rich in essential phyto-phenolic compounds such as γ-Oryzanol (OZ), Ferulic acid (FA), and Ellagic acid (EA). These phytochemicals are known for their potential to beneficially modulate molecular biochemistry. The present investigation aimed to evaluate the neuroprotective and cognitive enhancement effects of Oryza sativa phyto-phenolics in a model of early-onset Alzheimer's disease (EOAD) induced by Aβ (1-42) in animals. In-silico studies suggested that FA, OZ, and EA have target specificity for Aβ, with EA being further selected based on its potent in-vitro Aβ anti-aggregatory effects for exploring neurodegenerative conditions. The in-vivo experiments demonstrated that EA exerts therapeutic effects in Aβ-induced EOAD, modulating both biochemical and behavioral outcomes. EA treatment at two dose levels, EA70 and EA140 (70 μM and 140 μM, respectively, administered i.c.v.), significantly counteracted Aβ aggregation and modulated the Ca2⁺/Calpain/GSK-3β/CDK5 signaling pathways, exhibiting anti-tauopathy effects. Additionally, EA was shown to exert anti-inflammatory effects by preventing astroglial activation, modulating FAIM-L expression, and protecting against TNF-α-induced apoptotic signals. Moreover, the neuromodulatory effects of EA were attributed to the regulation of CREB levels, Dnm-1 expression, and synaptophysin levels, thereby enhancing LTP and synaptic plasticity. EA also induced beneficial cytological and behavioral changes, improving both long-term and short-term spatial memory as well as associative learning behavior in the animal model, which underscores its cognitive enhancement properties.

Biomimetic copper-containing nanogels for imaging-guided tumor chemo-chemodynamic-immunotherapy

Developing multifunctional nanoplatforms to comprehensively modulate the tumor microenvironment and enhance diagnostic and therapeutic outcomes still remains a great challenge. Here, we report the facile construction of a multivariate nanoplatform based on cancer cell membrane (CM)-encapsulated redox-responsive poly(N-vinylcaprolactam) (PVCL) nanogels (NGs) co-loaded with Cu(II) and chemotherapeutic drug toyocamycin (Toy) for magnetic resonance (MR) imaging-guided combination tumor chemodynamic therapy/chemoimmunotherapy. We show that redox-responsive PVCL NGs formed through precipitation polymerization can be aminated, conjugated with 3,4-dihydroxyhydrocinnamic acid for Cu(II) complexation, physically loaded with Toy, and finally camouflaged with CMs. The created ADCT@CM NGs with an average size of 113.0 nm are stable under physiological conditions and can efficiently release Cu(II) and Toy under tumor microenvironment with a high level of glutathione. Meanwhile, the developed NGs are able to enhance cancer cell oxidative stress and endoplasmic reticulum stress by synergizing the effects of chemodynamic therapy mediated by Cu-based Fenton-like reaction and Toy-mediated chemotherapy, thereby triggering significant immunogenic cell death (ICD). In a melanoma mouse model, the NGs show potent immune activation effects to reinforce tumor therapeutic efficacy through ICD induction and immune modulation including high levels of immune cytokine secretion, increased tumor infiltration of CD8+ cytotoxic T cells, and reduced tumor infiltration of regulatory T cells. With the CM coating and Cu(II) loading, the developed NG platform demonstrates homologous tumor targeting and T1-weighted MR imaging, hence providing a general biomimetic NG platform for ICD-facilitated tumor theranostic nanoplatform. Statement of significanceDeveloping multifunctional nanoplatforms to comprehensively modulate the tumor microenvironment (TME) and enhance theranostic outcomes remains a challenge. Here, a cancer cell membrane (CM)-camouflaged nanoplatform based on aminated poly(N-vinylcaprolactam) nanogels (NGs) co-loaded with Cu(II) and toyocamycin (Toy) was prepared for magnetic resonance (MR) imaging-guided combination tumor chemodynamic therapy/chemoimmunotherapy. The tumor targeting specificity and efficient TME-triggered release of Cu(II) and Toy could enhance tumor cell oxidative stress and endoplasmic reticulum stress by synergizing the effects of chemodynamic therapy mediated by Cu-based Fenton-like reaction and Toy-mediated chemotherapy, respectively, thereby leading to significant immunogenic cell death (ICD) and immune response. With the CM coating and Cu(II) loading, the developed NG platform also demonstrates good T1-weighted tumor MR imaging performance. Hence, this study provides a general biomimetic NG platform for ICD-facilitated tumor theranostics.