Unlabelled: Gene therapy is one of the most promising approaches in regenerative medicine for the restoration of extensive bone defects in dentistry and maxillofacial surgery. Matrices obtained using three-dimensional printing from bioresorbable polymers, impregnated with adenoviral constructs with genes for osteoinductive factors, can ensure safe and effective formation of bone tissue.
Objective: To study the properties of three-dimensional matrices based on polylactic-co-glycolic acid and adenoviral constructs with the GFP gene in vitro.
Materials And Methods: The matrices were obtained by antisolvent three-dimensional printing. Transduction efficiency was assessed by fluorescence microscopy and flow cytometry. The cytocompatibility of the matrices was assessed by the MTT test and by staining cells with fluorescent dyes.
Results: Matrices based on polylactic-co-glycolic acid have high cytocompatibility on adipose tissue-derived mesenchymal stem cells. Impregnation of adenoviral vectors with the green fluorescent protein gene in 3D matrices ensures the release of viral particles within a week, maintaining their high transducing ability.
Conclusion: The developed method for obtaining gene-activated matrices can serve as the basis for the creation of effective osteoplastic materials for bone regeneration.
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http://dx.doi.org/10.17116/stomat20231020628 | DOI Listing |
Methods Mol Biol
January 2025
Ecole Polytechnique Fédérale de Lausanne, School of Life Sciences, Institute of Bioengineering, Lausanne, Switzerland.
Gene expression memory-based lineage inference (GEMLI) is a computational tool allowing to predict cell lineages solely from single-cell RNA-sequencing (scRNA-seq) datasets and is publicly available as an R package on GitHub. GEMLI is based on the occurrence of gene expression memory, i.e.
View Article and Find Full Text PDFAnal Chem
January 2025
Laboratorio de Investigación y Desarrollo en Métodos Analíticos (LIDMA), Facultad de Ciencias Exactas, Universidad Nacional de La Plata (UNLP), Calle 49 y 115 (B1900AJL), La Plata 1900, Argentina.
A new strategy is proposed for second-order data fusion based on the simultaneous modeling of two data sets using the multivariate curve resolution-alternating least-squares (MCR-ALS) model, applying a new constraint during the ALS stage, called "Proportionality of Scores". This approach allows for the fusion of data from different sources, without requiring common dimensionality, and enables the application of specific constraints to each data set. This strategy was applied to the determination of five pharmaceutical contaminants (naproxen, danofloxacin, ofloxacin, sarafloxacin, and enoxacin) in environmental water samples, by fusing two sets of excitation-emission fluorescence matrices, measured before and after photochemical derivatization.
View Article and Find Full Text PDFClin Chem Lab Med
January 2025
70777 TUBITAK National Metrology Institute (TUBITAK UME), Kocaeli, Türkiye.
Objectives: An analytical protocol based on isotope dilution liquid chromatography-tandem mass spectrometry (ID-LC-MS/MS), which includes a peptide-based calibration strategy, was developed and validated for the determination of cardiac troponin I (cTnI) levels in clinical samples. Additionally, the developed method was compared with a protein-based calibration strategy, using cTnI serving as a model for low-abundant proteins. The aim is to evaluate new approaches for protein quantification in complex matrices, supporting the metrology community in implementing new methods and developing fit-for-purpose SI- traceable peptide or protein primary calibrators.
View Article and Find Full Text PDFFront Neurol
December 2024
Department of Diagnostic Radiology, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, Fujian, China.
Objective: This investigation aimed to elucidate alterations in metabolic brain network connectivity in drug-resistant mesial temporal lobe epilepsy (DR-MTLE) patients, relating these changes to varying surgical outcomes.
Methods: A retrospective cohort of 87 DR-MTLE patients who underwent selective amygdalohippocampectomy was analyzed. Patients were categorized based on Engel surgical outcome classification into seizure-free (SF) or non-seizure-free (NSF) groups.
Front Psychol
December 2024
Natural and Artificial Cognition Laboratory, Department of Humanistic Studies, University of Naples "Federico II", Naples, Italy.
Introduction: Missing data in psychometric research presents a substantial challenge, impacting the reliability and validity of study outcomes. Various factors contribute to this issue, including participant non-response, dropout, or technical errors during data collection. Traditional methods like mean imputation or regression, commonly used to handle missing data, rely upon assumptions that may not hold on psychological data and can lead to distorted results.
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