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1.
J Cell Physiol ; 234(12): 23082-23096, 2019 12.
Artigo em Inglês | MEDLINE | ID: mdl-31131449

RESUMO

In continuation of the investigation of osteogenic potential of solvent fractions of ethanolic extract of Cissus quadrangularis (CQ), an ancient medicinal plant, most notably known for its bone-healing properties, to isolate and identify antiosteoporotic compounds. In the current study, we report the effect of hexane fraction (CQ-H) and dichloromethane fraction (CQ-D) of CQ on the differentiation and mineralization of mouse preosteoblast cell line MC3T3-E1 (subclone 4). Growth, viability, and proliferation assays revealed that low concentrations (0.1, 1, and 100 ng/ml) of both solvent fractions were nontoxic, whereas higher concentrations were toxic to the cells. Differentiation and mineralization of MC3T3-E1 with nontoxic concentrations of CQ-D and CQ-H revealed that CQ-D delayed the mineralization of MC3T3-E1 cells. However, early and enhanced mineralization was observed in cultures treated with nontoxic concentrations of CQ-H, as indicated by Von Kossa staining and expression profile of osteoblast marker genes such as osterix, Runx2, alkaline phosphatase (ALP), collagen (Col1a1), integrin-related bone sialoprotein (IBSP), osteopontin (OPN), and osteocalcin (OCN). These findings suggest CQ-H as the most efficacious solvent fraction for further investigation to isolate and identify the active compounds in CQ-H.


Assuntos
Cissus/química , Osteoblastos/efeitos dos fármacos , Osteogênese/efeitos dos fármacos , Extratos Vegetais/farmacologia , Células 3T3 , Fosfatase Alcalina/genética , Animais , Calcificação Fisiológica/efeitos dos fármacos , Diferenciação Celular , Proliferação de Células/efeitos dos fármacos , Colágeno Tipo I/genética , Cadeia alfa 1 do Colágeno Tipo I , Regulação da Expressão Gênica no Desenvolvimento/efeitos dos fármacos , Hexanos/química , Cloreto de Metileno/química , Camundongos , Osteopontina/genética , Extratos Vegetais/química
2.
Neuron ; 2024 Jun 12.
Artigo em Inglês | MEDLINE | ID: mdl-38901431

RESUMO

The ventral tegmental area (VTA) is a critical node in circuits governing motivated behavior and is home to diverse populations of neurons that release dopamine, gamma-aminobutyric acid (GABA), glutamate, or combinations of these neurotransmitters. The VTA receives inputs from many brain regions, but a comprehensive understanding of input-specific activation of VTA neuronal subpopulations is lacking. To address this, we combined optogenetic stimulation of select VTA inputs with single-nucleus RNA sequencing (snRNA-seq) and highly multiplexed in situ hybridization to identify distinct neuronal clusters and characterize their spatial distribution and activation patterns. Quantification of immediate-early gene (IEG) expression revealed that different inputs activated select VTA subpopulations, which demonstrated cell-type-specific transcriptional programs. Within dopaminergic subpopulations, IEG induction levels correlated with differential expression of ion channel genes. This new transcriptomics-guided circuit analysis reveals the diversity of VTA activation driven by distinct inputs and provides a resource for future analysis of VTA cell types.

3.
J Coll Physicians Surg Pak ; 33(7): 732-737, 2023 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-37401211

RESUMO

OBJECTIVE: To evaluate the relationship between maxillary posterior teeth roots to maxillary sinus floor (MSF) using three-dimensional imaging and to evaluate the correlation of vertical facial biotype, gender, and age to the proximity of posterior roots to the sinus. STUDY DESIGN: Observational, Cross-sectional study. Place and Duration of the Study: Department of Orthodontics, Armed Forces Institute of Dentistry, Combined Military Hospital, Rawalpindi, from January 2021 to July 2022. METHODOLOGY: Three-dimensional CBCT scans of 100 patients aged between 13 to 43 years were evaluated and divided into three matching groups based on vertical face forms i.e. hyperdivergent, normodivergent, and hypodivergent. Root proximity to maxillary sinus was scored (0-3) for each scan. Nonparametric Wilcoxon Mann Whitney U test and Kruskal Wallis test were used to compare average tooth and patient scores to vertical face type, age, and gender. RESULTS: Out of 100 patients, 54 were males and 46 were females with 44% aged between 13-23 years, 27% between 24 to 33 years, and 29% between 34 to 43 years. Average patient and tooth scores were highest in the hyperdivergent face type (p<0.001). No statistically significant relation was found between gender and degree of root proximity to MSF (p>0.05). Age was negatively correlated to root sinus wall connection (p<0.001). CONCLUSION: Patients with hyperdivergent face forms are at greater risk of root resorption and prolonged orthodontic treatment due to the closer proximity of root apices to the maxillary sinus as compared to hypodivergent and normodivergent face forms. Moreover, roots were farther from the maxillary sinus wall with advanced age. KEY WORDS: Maxillary sinus, Cone beam computed tomography, Face.


Assuntos
Levantamento do Assoalho do Seio Maxilar , Raiz Dentária , Masculino , Feminino , Humanos , Adolescente , Adulto Jovem , Adulto , Raiz Dentária/diagnóstico por imagem , Seio Maxilar/diagnóstico por imagem , Estudos Transversais , Maxila
4.
Front Oncol ; 11: 692592, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34336681

RESUMO

In silico models of biomolecular regulation in cancer, annotated with patient-specific gene expression data, can aid in the development of novel personalized cancer therapeutic strategies. Drosophila melanogaster is a well-established animal model that is increasingly being employed to evaluate such preclinical personalized cancer therapies. Here, we report five Boolean network models of biomolecular regulation in cells lining the Drosophila midgut epithelium and annotate them with colorectal cancer patient-specific mutation data to develop an in silico Drosophila Patient Model (DPM). We employed cell-type-specific RNA-seq gene expression data from the FlyGut-seq database to annotate and then validate these networks. Next, we developed three literature-based colorectal cancer case studies to evaluate cell fate outcomes from the model. Results obtained from analyses of the proposed DPM help: (i) elucidate cell fate evolution in colorectal tumorigenesis, (ii) validate cytotoxicity of nine FDA-approved CRC drugs, and (iii) devise optimal personalized treatment combinations. The personalized network models helped identify synergistic combinations of paclitaxel-regorafenib, paclitaxel-bortezomib, docetaxel-bortezomib, and paclitaxel-imatinib for treating different colorectal cancer patients. Follow-on therapeutic screening of six colorectal cancer patients from cBioPortal using this drug combination demonstrated a 100% increase in apoptosis and a 100% decrease in proliferation. In conclusion, this work outlines a novel roadmap for decoding colorectal tumorigenesis along with the development of personalized combinatorial therapeutics for preclinical translational studies.

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