Carboxymethylcellulose hydrogels support cns-derived tumor cell chemotactic migration

The local microenvironment plays an important role in maintaining the dynamics of the extracellular matrix (ECM) and the cell-ECM relationship. ECM is a complex network of molecules with distinct mechanical and biochemical characteristics. When the mechanisms that are in place to maintain ECM homeostasis are deregulated, most likely, this is the onset of cancer. The ECM becomes highly disorganized and the cell-matrix relationship changes, thus promoting alternations in cell mechanisms and metastasis. Medulloblastoma (MB) is one of the most common, malignant pediatric brain tumors in the United States. In order to gain a better understanding between the cell-ECM relationship and cell migratory responses in tumors we investigate 7 different types of ECM proteins via a MB-derived cell line: Poly-D-Lysine (PDL), Matrigel, Laminin, Collagen-1, Fibronectin, a 10% blend of Laminin-Collagen1, a 20% blend of Laminin-Collagen 1 and a new cellulose derived hydrogel, carboxymethylcellulose (CMC). Over time, the average changes in cell morphology, in 2D and 3D, are quantified. Data reveals CMC allows for a cell-ECM relationship typically believed to present in tumors, with cell exhibiting amoeboidal morphology that is believed to indicate the ready-ness of a cell to migrate within a given environment. Further investigation into the CMC hydrogels reveal a polysaccharide that allows for chemotactic study of MB-derived Daoy cells enabling minimal haptotactic migration conducive in the mechanistic study of the cells’ chemotactic behavior. Understanding the cell-ECM relationship provides insight into their interactions and the information obtained can be utilized in studying the natural migratory patterns of cells. CMC allows for such a behavior to be studied along with testing the motility of Daoy cells because the hydrogel provides minimal integrin interaction between the cells and the ECM. This study provides insights into understanding the mechanisms behind tumor-associated migratory patterns via chemokines. The data reflects a new possibility of tackling central nervous system (CNS) diseases by utilizing a platform of natural hydrogels to generate therapies inhibiting metastasis

E-commerce Product Price Monitoring and Comparison using Sentiment Analysis

The increasing prevalence of e-commerce has empowered consumers with vast choices and opportunities for online shopping. This research paper focuses on two essential aspects of online shopping: price comparison and sentiment analysis of product reviews. The paper presents a methodology for scraping product prices from multiple e-commerce websites and conducting sentiment analysis on the corresponding product reviews. The findings of this research have significant implications for both consumers and e-commerce businesses. Consumers can leverage price comparison data to identify the most cost-effective platforms for their desired products, while sentiment analysis enables them to assess the overall satisfaction levels of other customers. E-commerce businesses can utilize these insights to optimize pricing strategies, identify areas for improvement, and enhance customer experiences. Performance analysis of Support Vector Machine, Logistic Regression, VADER Lexicon and SentiWordNet Lexicon is also done

Nano-particle delivery of brain derived neurotrophic factor after focal cerebral ischemia reduces tissue injury and enhances behavioral recovery

Low levels of brain-derived neurotrophic factor (BDNF) are linked to delayed neurological recovery, depression, and cognitive impairment following stroke. Supplementation with BDNF reverses these effects. Unfortunately, systemically administered BDNF in its native form has minimal therapeutic value due to its poor blood brain barrier permeability and short serum half-life. In this study, a novel nano-particle polyion complex formulation of BDNF (nano-BDNF) was administered to mice after experimental ischemic stroke

Vocal cord palsy as a sequela of paediatric cardiac surgery – a review

Background: Vocal cord palsy is one of the recognised complications of complex cardiac surgery in the paediatric population. While there is an abundance of literature highlighting the presence of this complication, there is a scarcity of research focusing on the pathophysiology, presentation, diagnosis, and treatment options available for children affected by vocal cord palsy. Materials and methods: Electronic searches were conducted using the search terms: “Vocal Cord Palsy,” “VCP,” “Vocal Cord Injury,” “Paediatric Heart Surgery,” “Congenital Heart Surgery,” “Pediatric Heart Surgery,” “Vocal Fold Movement Impairment,” “VFMI,” “Vocal Fold Palsy,” “PDA Ligation.” The inclusion criteria were any articles discussing the outcomes of vocal cord palsy following paediatric cardiac surgery. Results: The two main populations affected by vocal cord palsy are children undergoing aortic arch surgery or those undergoing PDA ligation. There is paucity of prospective follow-up studies; it is therefore difficult to reliably assess the current approaches and the long-term implications of management options. Conclusion: Vocal cord palsy can be a devastating complication following cardiac surgery, which if left untreated, could potentially result in debilitation of quality of life and in severe circumstances could even lead to death. Currently, there is not enough high-quality evidence in the literature to aid recognition, diagnosis, and management leaving clinicians to extrapolate evidence from adult studies to make clinical judgements. Future research with a focus on the paediatric perspective is necessary in providing evidence for good standards of care

The use of multi-omics data and approaches in breast cancer immunotherapy: a review

Breast cancer is projected to be the most common cancer in women in 2020 in the USA. Despite high remission rates treatment side effects remain an issue, hence the interest in novel approaches such as immunotherapies which aim to utilize patients’ immune systems to target cancer cells. This review summarizes the basics of breast cancer including staging and treatment options, followed by a discussion on immunotherapy, including immune checkpoint blockade. After this, examples of the role of omics-type data and computational biology/bioinformatics in breast cancer are explored. Ultimately, there are several promising areas to investigate such as the prediction of neoantigens and the use of multi-omics data to direct research, with noted appropriate in clinical trial design in terms of end points

Multiple order-up-to policy for mitigating bullwhip effect in supply chain network

This paper proposes a multiple order-up-to policy based inventory replenishment scheme to mitigate the bullwhip effect in a multi-stage supply chain scenario, where various transportation modes are available between the supply chain (SC) participants. The proposed policy is similar to the fixed order-up-to policy approach where replenishment decision “how much to order” is made periodically on the basis of the predecided order-up-to inventory level. In the proposed policy, optimal multiple order-up-to levels are assigned to each SC participants, which provides decision making reference point for deciding the transportation related order quantity. Subsequently, a mathematical model is established to define optimal multiple order-up-to levels for each SC participants that aims to maximize overall profit from the SC network. In parallel, the model ensures the control over supply chain pipeline inventory, high satisfaction of customer demand and enables timely utilization of available transportation modes. Findings from the various numerical datasets including stochastic customer demand and lead times validate that—the proposed optimal multiple order-up-to policy based inventory replenishment scheme can be a viable alternative for mitigating the bullwhip effect and well-coordinated SC. Moreover, determining the multiple order-up-to levels is a NP hard combinatorial optimization problem. It is found that the implementation of new emerging optimization algorithm named bacterial foraging algorithm (BFA) has presented superior optimization performances. The robustness and applicability of the BFA algorithm are further validated statistically by employing the percentage heuristic gap and two-way ANOVA analysis

Safety and Immunogenicity of DNA and MVA HIV-1 Subtype C Vaccine Prime-Boost Regimens: A Phase I Randomised Trial in HIV-Uninfected Indian Volunteers

STUDY DESIGN: A randomized, double-blind, placebo controlled phase I trial. METHODS: The trial was conducted in 32 HIV-uninfected healthy volunteers to assess the safety and immunogenicity of prime-boost vaccination regimens with either 2 doses of ADVAX, a DNA vaccine containing Chinese HIV-1 subtype C env gp160, gag, pol and nef/tat genes, as a prime and 2 doses of TBC-M4, a recombinant MVA encoding Indian HIV-1 subtype C env gp160, gag, RT, rev, tat, and nef genes, as a boost in Group A or 3 doses of TBC-M4 alone in Group B participants. Out of 16 participants in each group, 12 received vaccine candidates and 4 received placebos. RESULTS: Both vaccine regimens were found to be generally safe and well tolerated. The breadth of anti-HIV binding antibodies and the titres of anti-HIV neutralizing antibodies were significantly higher (p<0.05) in Group B volunteers at 14 days post last vaccination. Neutralizing antibodies were detected mainly against Tier-1 subtype B and C viruses. HIV-specific IFN-γ ELISPOT responses were directed mostly to Env and Gag proteins. Although the IFN-γ ELISPOT responses were infrequent after ADVAX vaccinations, the response rate was significantly higher in group A after 1(st) and 2(nd) MVA doses as compared to the responses in group B volunteers. However, the priming effect was short lasting leading to no difference in the frequency, breadth and magnitude of IFN-γELISPOT responses between the groups at 3, 6 and 9 months post-last vaccination. CONCLUSIONS: Although DNA priming resulted in enhancement of immune responses after 1(st) MVA boosting, the overall DNA prime MVA boost was not found to be immunologically superior to homologous MVA boosting. TRIAL REGISTRATION: Clinical Trial Registry CTRI/2009/091/00005