Mucoadhesive Carrier-Mediated Oral Co-delivery of Bcl2 Inhibitors Improves Gastric Cancer Treatment.

Gastric cancer treatment is challenging due to the lack of early-stage diagnostic technology and targeted delivery systems. Currently, the available treatments for gastric cancer are surgery, chemotherapy, immunotherapy, and radiation. These strategies are either invasive or require systemic delivery, exerting toxicities within healthy tissues. By creation of a targeted delivery system to the stomach, gastric cancer can be treated in the early stages. Such an approach reduces the negative effects on the rest of the body by minimizing systemic absorbance and random localization. With this in mind, we developed a mucoadhesive vehicle composed of ß-Glucan And Docosahexaenoic Acid (GADA) for controlled drug/gene delivery. In the current study, we investigated the therapeutic effect of codelivery Bcl2 inhibitors navitoclax (NAVI) and siRNA (Bcl2) via oral using GADA. The therapeutic efficacy of the GADA-mediated oral NAVI/siRNA was investigated in a gastric cancer mouse model. Higher Bcl2 inhibition efficacy was observed in Western blotting and TUNEL assay in mice treated with GADA/NAVI/siRNA compared to free NAVI, siRNA, and NAVI/siRNA. Histology (H&E) and immunohistochemistry (Ki67, TUNEL, and BCl2) analyses confirmed a significant reduction of the tumor region. Interaction between GADA and mucus resulted in retention for over 6 h and thereby sustained local payload release. The developed oral carrier GADA is an emerging vehicle that has promising potential in oral delivery of both small and large molecules, and their mucoadhesive property results in improved therapeutic efficacy with minimal side effects compared to conventional treatment. This study opens a new window for the effective delivery of oral medicine for the treatment of gastric cancer and other gastrointestinal diseases.

Recent Trends in the Management of Eosinophilic Esophagitis: A Systematic Review.

Eosinophilic esophagitis (EoE) is a chronic immune-mediated condition characterized by inflammation and eosinophilic accumulation of the esophagus, resulting in dysphagia and food impaction. While the exact etiology of EoE remains unclear, it is believed to be triggered by food allergens and dynamic environmental factors, resulting in various clinical manifestations, from inflammation to fibrosis. Although clinical presentation varies with age, the number of eosinophils in esophagogastroduodenal endoscopy remains the diagnostic gold standard. While diet elimination, proton pump inhibitors (PPIs), topical corticosteroids, and biological therapy are promising treatment options for EoE, there are insufficient data to determine the optimal therapeutic treatment approach. Combination therapies - the use of dietary therapies in conjunction with other treatment modalities, such as PPIs, topical corticosteroids, or biologic agents - have also emerged as a potential management strategy for EoE. In this systematic review, we attempt to highlight the recent advances in EoE therapies and provide updated guidance to their management. From 2017 to 2022, we conducted a comprehensive electronic search of PubMed (MEDLINE) using specific keywords related to our objective and eventually included a total of 44 articles.

Deep Learning in Different Ultrasound Methods for Breast Cancer, from Diagnosis to Prognosis: Current Trends, Challenges, and an Analysis.

Breast cancer is the second-leading cause of mortality among women around the world. Ultrasound (US) is one of the noninvasive imaging modalities used to diagnose breast lesions and monitor the prognosis of cancer patients. It has the highest sensitivity for diagnosing breast masses, but it shows increased false negativity due to its high operator dependency. Underserved areas do not have sufficient US expertise to diagnose breast lesions, resulting in delayed management of breast lesions. Deep learning neural networks may have the potential to facilitate early decision-making by physicians by rapidly yet accurately diagnosing and monitoring their prognosis. This article reviews the recent research trends on neural networks for breast mass ultrasound, including and beyond diagnosis. We discussed original research recently conducted to analyze which modes of ultrasound and which models have been used for which purposes, and where they show the best performance. Our analysis reveals that lesion classification showed the highest performance compared to those used for other purposes. We also found that fewer studies were performed for prognosis than diagnosis. We also discussed the limitations and future directions of ongoing research on neural networks for breast ultrasound.

ß-Glucan-Mediated Oral Codelivery of 5FU and Bcl2 siRNA Attenuates Stomach Cancer.

Based on cancer-related deaths, stomach cancer is ranked fifth, and first among Hispanics. Lack of technologies for early diagnosis and unavailability of target-specific therapeutics are largely the causes of the poor therapeutic outcomes from existing chemotherapeutics. Currently available therapeutic modalities are invasive and require systemic delivery, although the cancer is localized in the stomach at its early stage. Therefore, we hypothesize that an oral local delivery approach can extend the retention duration of the therapeutics modalities within the stomach and thereby enhance therapeutic efficacy. To accomplish this, we have developed a ß-glucan (BG)-based oral delivery vehicle that can adhere to the mucus lining of the stomach for an extended period while controlling the release of Bcl2 siRNA and 5-fluorouracil (5FU) payload for over 6 h. We found that Bcl2 siRNA selectively knocked down the Bcl2 gene in a C57BL/6 stomach cancer mouse model followed by upregulation of apoptosis and remission of cancer. BG was found to be very effective in maintaining the stability of siRNA for at least 6 h, when submerged in simulated gastric juice tested in vitro. To investigate the potential therapeutic effects in vivo, we used a stomach cancer mouse model, where C57BL/6 mice were treated with 5FU, BG/5FU, siRNA, BG/siRNA, and BG/5FU/siRNA. Higher inhibition of Bcl2 and therapeutic efficacy were observed in mice treated with BG/5FU/siRNA confirmed with Western blotting and a TUNEL assay. Significant reduction in the tumor region was observed with histology (H&E) and immunohistochemistry (Ki67, TUNEL, and Bcl2) analyses. Overall, the oral formulation shows improved efficacy with nonsignificant side effects compared to the conventional treatment tested in the gastric cancer mouse model.

Oral delivery of RNAi for cancer therapy.

Cancer is a major health concern worldwide and is still in a continuous surge of seeking for effective treatments. Since the discovery of RNAi and their mechanism of action, it has shown promises in targeted therapy for various diseases including cancer. The ability of RNAi to selectively silence the carcinogenic gene makes them ideal as cancer therapeutics. Oral delivery is the ideal route of administration of drug administration because of its patients' compliance and convenience. However, orally administered RNAi, for instance, siRNA, must cross various extracellular and intracellular biological barriers before it reaches the site of action. It is very challenging and important to keep the siRNA stable until they reach to the targeted site. Harsh pH, thick mucus layer, and nuclease enzyme prevent siRNA to diffuse through the intestinal wall and thereby induce a therapeutic effect. After entering the cell, siRNA is subjected to lysosomal degradation. Over the years, various approaches have been taken into consideration to overcome these challenges for oral RNAi delivery. Therefore, understanding the challenges and recent development is crucial to offer a novel and advanced approach for oral RNAi delivery. Herein, we have summarized the delivery strategies for oral delivery RNAi and recent advancement towards the preclinical stages.

Detection of Leptin Using Electrocatalyst Mediated Impedimetric Sensing.

Obesity is a complex disorder associated with immense health consequences including high risk of cardiovascular diseases, diabetes, and cancer. Abnormality in the thyroid gland, genetics, less physical activity, uptake of excessive diet, and leptin resistance are critical factors in the development of obesity. To determine the treatment strategy, understanding the pathophysiology of obesity is crucial. For instances, leptin resistance mediated obesity defined by the presence of excessive leptin hormone (Lep) in the systemic circulation is very common in diet induced obesity. Therefore, our hypothesis is that quantitative measurement of Lep from blood can help to identify individuals with Lep resistant mediated obesity and thereby guide toward a proper treatment strategy. In this work, we aim to utilize an electrochemical immunosensing platform for diagnosis of obesity by measuring the Lep content in systemic circulation. A porous carbon confined FeNi bimetallic system was synthesized with three different ratios of Fe and Ni ions using high temperature pyrolysis technique. The suitability of the sensor for detecting Lep was studied using both CV and EIS techniques. The limit of detection (LOD) for GCE was recorded as 157.4 fg/mL with a wide linear concentration range of 500 fg/mL to 80 ng/mL, while for SPCE the LOD was 184.9 fg/mL with a linear range of 500 fg/mL to 50 ng/mL. Finally, the feasibility and applicability of the sensor for Lep detection was tested with serum collected from high fat diet induced obese rats. The selectivity, sensitivity, storage, and experimental stability and reproducibility tests showed potential for this biosensor platform as a point-of-care Lep detection device.

Detection of Anticancer Drug-Induced Cardiotoxicity Using VCAM1-Targeted Nanoprobes.

Chemotherapy-induced cardiac toxicity is an undesirable yet very common effect that increases the risk of death and reduce the quality of life of individuals undergoing chemotherapy. However, no feasible methods and techniques are available to monitor and detect the degree of cardiotoxicity at an early stage. Therefore, in this project, we aim to develop a fluorescent nanoprobe to image the toxicity within the cardiac tissue induced by an anticancer drug. We have observed that vascular cell adhesion molecule 1 (VCAM1) protein alone with collagen was overly expressed within the heart, when an animal was treated with doxorubicin (DOX), because of inflammation in the epithelial cells. We hypothesize that developing a VCAM1-targeted peptide-based (VHPKQHRGGSKGC) fluorescent nanoprobe can detect and visualize the affected heart. In this regard, we prepared a poly(lactic-co-glycolic acid) (PLGA) nanoparticle linked with VCAM1 peptide and rhodamine B (PLGA-VCAM1-RhB). Selective binding and higher accumulation of the PLGA-VCAM1-RhB nanoprobes were detected in DOX-treated human cardiomyocyte cells (HCMs) compared to the untreated cells. For in vivo studies, DOX (5 mg/kg) was injected via the tail vein once in two weeks for 6 weeks (3 injection total). PLGA-VCAM1-RhB and PLGA-RhB were injected via the tail vein after 1 week of the last dose of DOX, and images were taken 4 h after administration. A higher fluorescent signal of PLGA-RhB-VCAM-1 (48.62% ± 12.79%) was observed in DOX-treated animals compared to the untreated control PLGA-RhB (10.61% ± 4.90) within the heart, indicating the specificity and targeting ability of PLGA-VCAM1-RhB to the inflamed tissues. The quantified fluorescence intensity of the homogenized cardiac tissue of PLGA-RhB-VCAM1 showed 156% higher intensity than the healthy control group. We conclude that PLGA-VCAM1-RhB has the potential to bind inflamed cardiac cells, thereby detecting DOX-induced cardiotoxicity and damaged heart at an early stage.

Ionic liquid-mediated delivery of a BCL-2 inhibitor for topical treatment of skin melanoma.

Skin melanoma is one of the most common cancer types in the United States and worldwide, and its incidence continues to grow. Primary skin melanoma can be removed surgically when feasible and if detected at an early stage. Anti-cancer drugs can be applied topically to treat skin cancer lesions and used as an adjunct to surgery to prevent the recurrence of tumor growth. We developed a topical formulation composed of Navitoclax (NAVI), a BCL-2 inhibitor that results in apoptosis, and an ionic liquid of choline octanoate (COA) to treat early-stage melanoma. NAVI is a small hydrophobic molecule that solubilizes at 20% (w/v) when dissolved in 50% COA. Although NAVI is a highly effective chemotherapeutic, it is equally thrombocytopenic. We found that COA-mediated topical delivery of NAVI enhanced its penetration into the skin and held the drug in the deeper skin layers for an extended period. Topical delivery of NAVI produced a higher cancer-cell killing efficacy than orally administrated NAVI. In vivo experiments in a mouse model of human melanoma-induced skin cancer confirmed the formulation's effectiveness via an apoptotic mechanism without any significant skin irritation or systemic absorption of NAVI. Overall, this topical approach may provide a safe and effective option for better managing skin cancer in the clinic.

Theoretical and Experimental Insights into the Possible Interfacial Interactions between ß-Glucan and Fat Molecules in Aqueous Media.

Excessive body fat and high cholesterol are one of the leading reasons for triggering cardiovascular risk factors, obesity, and type 2 diabetes. Beta-glucan (BG)-based dietary fibers are found to be effective for lowering fat digestion in the gastrointestinal tract. However, the fat capturing mechanism of BG in aqueous medium is still elusive. In this report, we studied the dietary effect of barley-extracted BG on docosahexaenoic acid (DHA, a model fat molecule) uptake and the impact of the aqueous medium on their interactions using computational modeling and experimental parameters. The possible microscale and macroscale molecular interactions between BG and DHA in an aqueous medium were analyzed through density functional theory (DFT), Monte-Carlo (MC), and molecular dynamics (MD) simulations. DFT analysis revealed that the BG polymer extends hydrogen bonding and nonbonding interactions with DHA. Bulk simulation with multiple DHA molecules on a long-chain BG showed that a viscous colloidal system is formed upon increasing DHA loading. Experimental size and zeta potential measurements also confirmed the electrostatic interaction between BG-DHA systems. Furthermore, simulated and experimental diffusion and viscosity measurements showed excellent agreement. These simulated and experimental results revealed the mechanistic pathway of how BG fibers form colloidal systems with fat molecules, which is probably responsible for BG-induced delayed fat digestion and further halting of fatty molecule absorption in the GI tract.