27 research outputs found
Human Bone Marrow Mesenchymal Stem Cells Induce Collagen Production and Tongue Cancer Invasion
Peer reviewe
In vivo migration of labeled autologous natural killer cells to liver metastases in patients with colon carcinoma
BACKGROUND: Besides being the effectors of native anti-tumor cytotoxicity, NK cells participate in T-lymphocyte responses by promoting the maturation of dendritic cells (DC). Adherent NK (A-NK) cells constitute a subset of IL-2-stimulated NK cells which show increased expression of integrins and the ability to adhere to solid surface and to migrate, infiltrate, and destroy cancer. A critical issue in therapy of metastatic disease is the optimization of NK cell migration to tumor tissues and their persistence therein. This study compares localization to liver metastases of autologous A-NK cells administered via the systemic (intravenous, i.v.) versus locoregional (intraarterial, i.a.) routes. PATIENTS AND METHODS: A-NK cells expanded ex-vivo with IL-2 and labeled with (111)In-oxine were injected i.a. in the liver of three colon carcinoma patients. After 30 days, each patient had a new preparation of (111)In-A-NK cells injected i.v. Migration of these cells to various organs was evaluated by SPET and their differential localization to normal and neoplastic liver was demonstrated after i.v. injection of (99m)Tc-phytate. RESULTS: A-NK cells expressed a donor-dependent CD56(+)CD16(+)CD3(- )(NK) or CD56(+)CD16(+)CD3(+ )(NKT) phenotype. When injected i.v., these cells localized to the lung before being visible in the spleen and liver. By contrast, localization of i.a. injected A-NK cells was virtually confined to the spleen and liver. Binding of A-NK cells to liver neoplastic tissues was observed only after i.a. injections. CONCLUSION: This unique study design demonstrates that A-NK cells adoptively transferred to the liver via the intraarterial route have preferential access and substantial accumulation to the tumor site
Multivariate Calibration on NIR Data: Development of a Model for the Rapid Evaluation of Ethanol Content in Bakery Products
A new NIR method based onmultivariate calibration for determination of ethanol in industrially
packed wholemeal bread was developed and validated. GC-FID was used as reference
method for the determination of actual ethanol concentration of different samples of wholemeal
bread with proper content of added ethanol, ranging from 0 to 3.5% (w/w). Stepwise
discriminant analysis was carried out on the NIR dataset, in order to reduce the number of
original variables by selecting those that were able to discriminate between the samples of
different ethanol concentrations. With the so selected variables a multivariate calibration
model was then obtained by multiple linear regression. The prediction power of the linear
model was optimized by a new “leave one out” method, so that the number of original
variables resulted further reduced
Potentialities of a modified QCM sensor for the detection of analytes interacting via H-bonding and application to the determination of ethanol in bread
The capabilities of a previously developed sensor based on quartz crystal microbalance (QCM) were evaluated by using the QCM as detection
unit for gas chromatography. Detection and quantitation limits towards eight compounds chosen on the basis of the coordination properties of the
receptor were calculated obtaining the lowest value of limit of quantitation in the case of ethanol (LOD = 1.73×10−2 g; LOQ= 3.69×10−2 g).
A novel and simple method for the determination of ethanol in bread was then developed and applied. The device proposed was proved promising
as “on-line sensor” for quality control during bakery production for ethanol concentrations ranging from 0.26% to 1.70% (w/w) in whole-meal
bread and from with ethanol concentration ranging from 0.68% to 2.06% (w/w) in durum-wheat bread