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Light-driven plasmonic microrobot for nanoparticle manipulation.
Nat Commun
March 2025
Nano-Optics and Biophotonics Group, Experimentelle Physik 5, Physikalisches Institut, Universität Würzburg, Am Hubland, Würzburg, Germany.
Recently light-driven microdrones have been demonstrated, making use of plasmonic nanomotors based on directional resonant chiral light scattering. These nanomotors can be addressed individually, without requiring the tracking of a focused laser, leading to exceptional 2D maneuverability which renders microdrones a versatile robotic platform in aqueous environments. Here, we incorporate a light-operated manipulator, a plasmonic nano-tweezer, into the microdrone platform, rendering it a microrobot by enabling precise, all-optical transport and delivery of single nanoparticles suspended in solution.
View Article and Find Full Text PDFAn easy to apply tube gel for lidocaine induced pain relief and 2-deoxy-d-ribose accelerated wound healing.
Biomater Adv
March 2025
Interdisciplinary Research Center in Biomedical Materials, COMSATS University Islamabad, Lahore Campus, 54000, Pakistan. Electronic address:
Many wounds can be challenging to manage because of pain and poor angiogenesis. An ideal treatment for such wounds would be a gel that can induce angiogenesis to accelerate wound healing and to reduce pain. Our aim in this study was to explore combining 2-deoxy-d-ribose (2dDR) to induce angiogenesis with lidocaine hydrochloride to reduce pain in the form of a tube-based gel.
View Article and Find Full Text PDFThe specification game: rethinking the evaluation of drug response prediction for precision oncology.
J Cheminform
March 2025
Institut de Génétique Moléculaire de Montpellier, Université de Montpellier, 34293, Montpellier, France.
Precision oncology plays a pivotal role in contemporary healthcare, aiming to optimize treatments for each patient based on their unique characteristics. This objective has spurred the emergence of various cancer cell line drug response datasets, driven by the need to facilitate pre-clinical studies by exploring the impact of multi-omics data on drug response. Despite the proliferation of machine learning models for Drug Response Prediction (DRP), their validation remains critical to reliably assess their usefulness for drug discovery, precision oncology and their actual ability to generalize over the immense space of cancer cells and chemical compounds.
View Article and Find Full Text PDFGenetically proxied therapeutic inhibition of antihypertensive drug targets and risk of pancreatic cancer: a mendelian randomization analysis.
BMC Cancer
March 2025
Department of Pancreatobiliary Surgery, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, P. R. China.
Background: Conventional epidemiological studies have reported inconsistent results regarding the potential adverse effects of long-term use of antihypertensive drugs on cancer risk. Nevertheless, evidence of their impact on pancreatic cancer risk is limited and deserves further elucidation.
Methods: We selected genetic variants from the genes encoding the target proteins (angiotensin-converting enzyme, beta-1 adrenergic receptor, and solute carrier family 12 member 3) of the examined antihypertensive drugs as instruments based on expression quantitative trait loci (eQTL) studies.
Clinical Validation of a Targeted RNA-Sequencing Assay for Driver Gene Alteration Detection in Non-Small Cell Lung Cancer.
Mol Diagn Ther
March 2025
Department of Pathology, Peking Union Medical College Hospital, 1 Shuai Fu Community, Dongcheng District, Beijing, 100000, China.
Background And Objective: With the increasing number of diagnostic biomarkers associated with tumor diagnosis, targeted therapy, and immunotherapy, access to clinical pathological specimens of an appropriate size for analysis is becoming a problem. Conventional high-throughput sequencing assays for non-small cell lung cancer (NSCLC) often necessitate the extraction of separate DNA and RNA samples to achieve precise detection of various mutation types. This study aimed to employ RNA-next-generation sequencing (NGS) technology to simultaneously detect different types of mutations in NSCLC samples, including single nucleotide variations, insertions and deletions, fusions/rearrangements, and exon skipping, thereby addressing the issue of limited sample availability.
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