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http://dx.doi.org/10.1177/29768675231219385 | DOI Listing |
J Nanobiotechnology
January 2025
Department of Dermatology and Venereology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, 325000, China.
Background: Both oxidative stress and autoimmune responses play crucial roles in the development of vitiligo. Under oxidative stress, the apoptotic melanocytes expose self-antigens and release high mobility group box 1 (HMGB1), triggering autoimmune activation and recruiting CD8 T cells. This process further leads to the destruction of melanocytes, resulting in the lack of melanin granules.
View Article and Find Full Text PDFBioData Min
January 2025
Department of Applied Mathematics and Statistics, The State University of New York, Korea, Incheon, South Korea.
Background: The treatment effects are heterogenous across patients due to the differences in their microbiomes, which in turn implies that we can enhance the treatment effect by manipulating the patient's microbiome profile. Then, the coadministration of microbiome-based dietary supplements/therapeutics along with the primary treatment has been the subject of intensive investigation. However, for this, we first need to comprehend which microbes help (or prevent) the treatment to cure the patient's disease.
View Article and Find Full Text PDFMol Med
January 2025
Department of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, 8174673461, Iran.
Acute myeloid leukemia (AML) is caused by altered maturation and differentiation of myeloid blasts, as well as transcriptional/epigenetic alterations, all leading to excessive proliferation of malignant blood cells in the bone marrow. Tumor heterogeneity due to the acquisition of new somatic alterations leads to a high rate of resistance to current therapies or reduces the efficacy of hematopoietic stem cell transplantation (HSCT), thus increasing the risk of relapse and mortality. Single-cell RNA sequencing (scRNA-seq) will enable the classification of AML and guide treatment approaches by profiling patients with different facets of the same disease, stratifying risk, and identifying new potential therapeutic targets at the time of diagnosis or after treatment.
View Article and Find Full Text PDFNat Cancer
January 2025
Institute for Artificial Intelligence in Medicine, University Hospital Essen (AöR), Essen, Germany.
Despite advances in precision oncology, clinical decision-making still relies on limited variables and expert knowledge. To address this limitation, we combined multimodal real-world data and explainable artificial intelligence (xAI) to introduce AI-derived (AID) markers for clinical decision support. We used xAI to decode the outcome of 15,726 patients across 38 solid cancer entities based on 350 markers, including clinical records, image-derived body compositions, and mutational tumor profiles.
View Article and Find Full Text PDFACS Biomater Sci Eng
January 2025
Changchun University of Science and Technology, Changchun 130022, Jilin, China.
The cancer-associated fibroblasts (CAFs) in tumor stroma present substantial barriers to drug penetration, resulting in tumor resistance and progression. One promising strategy is to reprogram CAFs into a quiescent state, which necessitates novel approaches. Our study introduces a sequential treatment strategy using chitosan thermosensitive hydrogels loaded with α-Mangostin (α-M), a small molecule drug with antifibrotic properties, aimed at reprogramming CAFs within the breast cancer tumor microenvironment (TME).
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