Publications by authors named "Jadhav Suchita Suryakant"

Drug administration by oral delivery is the preferred route, regardless of some remaining challenges, such as short resident time and toxicity issues. One strategy to overcome these barriers is utilizing mucoadhesive vectors that can increase intestinal resident time and systemic uptake. In this study, biomimetic nanoparticles (NPs) were produced from 14 types of edible algae and evaluated for usage as oral DDSs by measuring their size, surface charge, morphology, encapsulation efficiency, mucoadhesion force, and cellular uptake into Caco-2 cells.

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The near-infrared (NIR) range of the electromagnetic (EM) spectrum offers a nearly transparent window for imaging tissue. Despite the significant potential of NIR fluorescence-based imaging, its establishment in basic research and clinical applications remains limited due to the scarcity of fluorescent molecules with absorption and emission properties in the NIR region, especially those suitable for biological applications. In this study, we present a novel approach by combining the widely used IRdye 800NHS fluorophore with gold nanospheres (GNSs) and gold nanorods (GNRs) to create Au nanodyes, with improved quantum yield (QY) and distinct lifetimes.

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To calibrate a murine model to study premalignant to malignant multiple myeloma, mice were inoculated with different amounts of myeloma cells, and changes in the immune profile were tracked for over 200 days. The model highlights the development of T-cell exhaustion and suppressor before the appearance of clinical symptoms.

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Finding synergistic drug combinations is an important area of cancer research. Here, we sought to rationally design synergistic drug combinations with an inhibitor of BTK kinase, ibrutinib, which is used for the treatment of several types of leukemia. We (a) used a pooled shRNA screen to identify genes that protect cells from the drug, (b) identified protective pathways via bioinformatics analysis of these gene sets, and (c) identified drugs that inhibit these pathways.

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Article Synopsis
  • Mathematical models are increasingly used in cancer research, particularly for Chronic Lymphocytic Leukemia (CLL), a common but incurable adult leukemia.
  • The study focused on the growth of A20 leukemic cells in mice and tested the effectiveness of Ibrutinib and Cytarabine, resulting in a calculated killing rate for the cancer cells based on the treatments.
  • The developed ordinary differential equations (ODEs) model effectively simulated drug efficacy, predicting a 95% kill rate of A20 cells when using the combination of both drugs, suggesting potential for personalized chemotherapy software.
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