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Biology subjects

Neves, M.

Publications and source records attributed to Neves, M..

4 recordsLinked to original sources

Identification of AB8939, a novel synthetic microtubule destabilizer and ALDH inhibitor that overcomes multidrug resistance in tumor cells as a drug candidate for the treatment of refractory acute myeloid leukemia

We identified AB8939, a novel small synthetic molecule that exhibits strong and broad antiproliferative activity against a panel of various cancer cell types with IC50 values in the nanomolar range. In vitro investigations showed that AB8939 is a novel microtubule-targeting agent that interacts with the colchicine-binding site of tubulin. AB8939 disrupts the microtubule network, leading to mitotic arrest in G2/M phase and subsequent apoptosis. Importantly, AB8939 overcomes drug resistance mechanisms, including overexpression of efflux transporters such as P-glycoprotein (P-gp) and aberrant expression of {beta}3-tubulin. AB8939 displays high cytotoxicity against blasts from AML patients, including blasts resistant to cytarabine (Ara-C). In vivo, AB8939 shows strong antitumor activity in MOLM-14, an Ara-C-resistant AML model, as evidenced by tumor growth inhibition and substantial increase in mouse survival. Further experiments performed on an AML PDX TG-AML-36 model demonstrated that AB8939 efficiently kills leukemic stem cells (CD34+/CD38-). Reverse proteomic experiments revealed that AB8939 inhibits ALDH1 and ALDH2, enzymes often overexpressed in tumors and tumor stem cells, thereby favoring tumor progression and relapse. AB8939 is a novel dual-targeting drug that acts on both tubulin and ALDH enzymes, with potential activity against various cancer types, especially refractory AML with complex karyotypes such as those displaying MECOM rearrangement and AML with mutations associated with poor prognosis, such as ASXL1 and TP53.

cell biology↗

Extracting the Research Goal from Biomedical Abstracts

Extracting the research goal of a publication can potentially support researchers when searching the biomedical literature. Systems can make use of this information for various tasks, e.g., query processing or matching and ranking the candidates. However, this is a very subjective and complex task, which might involve various semantic types and may vary depending on the research area. Previous work have ventured in this area, but as far as we know, no specific dataset is yet available. We reused seven reviews from the European Commission with annotations about the research goal for more than 2.8k articles. We compiled the RG4C dataset, which we then used to fine tune a model for the automatic extraction of four criteria: "Field of Application", "Disease Area", "Disease Feature", and "Biological Endpoint". We obtained an overall f-score of 0.59, with results for each criterion ranging from 0.35 to 0.83. The RG4C dataset is available at: https://www.kaggle.com/datasets/marianaln/eu-qa-complete. Our source code is available at: https://www.kaggle.com/code/marianaln/eu-qa-features/notebook

bioinformatics↗

Structural analyses of apolipoprotein A-IV polymorphisms Q360H and T347S elucidate the inhibitory effect against thrombosis

Apolipoprotein A-IV (apoA-IV) is an abundant lipid-binding protein in blood plasma. We previously reported that apoA-IV, as an endogenous inhibitor, competitively binds platelet IIb{beta}3 integrin from its N-terminal residues, reducing the potential risk of thrombosis. This study aims to investigate how the apoA-IVQ360H and apoA-IVT347S mutations affect the structure and function of apoA-IV. These mutations are linked to increased risk of cardiovascular diseases due to multiple single-nucleotide polymorphisms in the C-terminal region of apoA-IV. We postulate the structural hindrance caused by the C-terminal motifs may impede the binding of apoA-IV to platelets at its N-terminal binding site. However, the mechanistic impact of Q360H and T347S polymorphisms on this intermolecular interaction and their potential contribution to the development of cardiovascular disease have not been adequately investigated. To address this, recombinant forms of human apoA-IVWT, apoA-IVQ360H, apoA-IVT347S variants were produced, and the structural stability, dimerization, and molecular dynamics of the C-terminus were examined utilizing biophysical techniques including fluorescence anisotropy, fluorescence spectrophotometry, circular dichroism, and biolayer interferometry methods. Our results showed a deceased fraction of -helix structure in apoA-IVQ360H and apoA-IVT347S compared to the wildtype, and the inhibitory effect of dimerized apoA-IV on platelet aggregation was reduced in apoA- IVQ360H and apoA-IVT347S variants. Binding kinetics of examined apoA-IV polymorphisms to platelet IIb{beta}3 suggest a potential mechanism for increased risk of cardiovascular diseases in individuals with apoA-IVQ360H and apoA-IVT347S polymorphisms.

biochemistry↗

Niche engineering drives early passage through an immune bottleneck in progression to colorectal cancer

O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC=\"FIGDIR/small/623959v2_ufig1.gif\" ALT=\"Figure 1\">\nView larger version (55K):\norg.highwire.dtl.DTLVardef@1c48cf5org.highwire.dtl.DTLVardef@1026747org.highwire.dtl.DTLVardef@ca92f1org.highwire.dtl.DTLVardef@1753cd5_HPS_FORMAT_FIGEXP M_FIG C_FIG Colorectal cancer develops from its precursor lesion, the adenoma. The immune system is hypothesized to be key in modulating progression, but tumor-immune eco-evolutionary dynamics remain uncharacterized. Here, we demonstrate a key role for immune evasion in the progression of human benign disease to colorectal cancer. We constructed a mathematical model of tumor-immune eco-evolutionary dynamics that predicted ecological succession, from an \"immune-hot\" adenoma immune ecology rich in T cells to an \"immune-cold\" carcinoma ecology, deficient in T cells and rich in immunosuppressive cells. Using a cross-sectional cohort of adenomas and carcinomas, we validated this prediction by direct measurement of the tumor-immune ecology using whole-slide 10-marker immunohistochemistry (IHC), and analysis of neoantigen clonal architecture multi-region exome sequencing data. Changes in immune ecology relax selection against antigens with high recognition potentials. This study indicates that immune surveillance represents a key evolutionary bottleneck in the evolution of colon cancer.

cancer biology↗