Biomedical subjects

Hiroyuki Honda

Publications and source records attributed to Hiroyuki Honda.

69 records · Page 4Linked to original sources

PubMed2003

Selective hyperthermia using magnetoliposomes to target cervical lymph node metastasis in a rabbit tongue tumor model.

The effect of hyperthermia on cervical lymph node metastasis of VX7 tongue cancer in female Japanese white rabbits was investigated. Magnetoliposomes (MLs) with a neutral surface charge and a size of 94.1 nm were used as heating mediators. MLs were injected into the tongue 20 days after tumor transplantation, and we examined whether they reached the metastatic deep cervical lymph node. The highest magnetite concentration 24 h after ML injection was detected in the lymph node, followed by tongue, spleen, blood, and liver. Rabbits were separated into three groups: group I as the control; group II with ML injection alone; and group III with ML injection and hyperthermia 24 h after ML injection, generated by applying an alternating magnetic field (118 kHz, 384 Oe) to the neck region. The hyperthermic effect was evaluated in terms of the percentage of necrosis in proportion to the metastatic tumor and the apoptotic index (AI), defined as the ratio of TUNEL-positive cells. The temperature of lymph nodes in group III reached over 44 degrees C. The mean area of necrosis in group III was 58.0%, which was significantly higher than that in group I (19.6%) or group II (20.4%). The AI in group III was 22.9%, significantly higher than in group I (1.67%) or II (1.42%). The difference between group I and II was not statistically significant. Group III tumor sites around MLs showed necrosis or apoptosis-positive cells induced by hyperthermia. These results indicate that MLs injected into the tongue can target cervical lymph node metastases and accumulate there at concentrations sufficient to generate therapeutically effective temperatures.

Animals↗

PubMed2003

Transglutaminase-mediated gelatin matrices incorporating cell adhesion factors as a biomaterial for tissue engineering.

The goal of this work was to develop a novel biomaterial to be used for either wound dressing or as a scaffold for tissue engineering. The biodegradable hydrogels were prepared through cross-linking of gelatin with transglutaminase (TGase) in an aqueous solution. We found that the concentrations of 5 wt% gelatin and 1 unit/ml TGase were optimum for the proliferation of NIH/3T3 fibroblasts. Then, we investigated whether the cell proliferation was enhanced by incorporation of cell adhesion factors into the gelatin hydrogels. Since vitronectin and fibronectin can bind with gelatin by the action of TGase, we added these cell adhesion proteins into the gelatin hydrogels. The hydrogels incorporating these cell adhesion proteins significantly enhanced cell proliferation compared with the gelatin hydrogels without these proteins (p<0.05). Two types of synthetic Arg-Gly-Asp (RGD) peptides, RGDLLQ and RGDLLG were also added to the gelatin solution where RGDLLQ is a substrate of TGase by virtue of a glutamine (Q) residue with an epsilon-amino group and RGDLLG is not. These two RGD peptides enhanced cell proliferation, but RGDLLQ significantly enhanced the proliferation compared with RGDLLG (p<0.05). These results suggest that T-Gase-mediated incorporation of cell adhesion factors into gelatin matrices enhanced cell proliferation and this novel biomaterial is a potent tool for wound dressing or tissue engineering.

Journal Article↗

PubMed2003

Inference of common genetic network using fuzzy adaptive resonance theory associated matrix method.

Inferring genetic networks from gene expression data is the most challenging work in the post-genomic era. However, most studies tend to show their genetic network inference ability by using artificial data. Here, we developed the fuzzy adaptive resonance theory associated matrix (F-ART matrix) method to infer genetic networks and applied it to experimental time series data, which are gene expression profiles of Saccharomyces cerevisiae responding under oxidative stresses such as diamide, heat shock and H2O2. We preprocessed them using the fuzzy adaptive resonance theory and successfully identified genetic interactions by drawing a 2-dimensional matrix. The identified interactions between diamide and heat shock stress were confirmed to be the common interactions for two stresses, compared with the KEGG metabolic map, BRITE protein interaction map, and gene interaction data of other papers. In the predicted common genetic network, the hit ratio was 60% for the KEGG map. Several gene interactions were also drawn, which have been reported to be important in oxidative stress. This result suggests that F-ART matrix has the potential to function as a new method to extract the common genetic networks of two different stresses using experimental time series microarray data.

Journal Article↗

PubMed2002

Artificial neural network predictive model for allergic disease using single nucleotide polymorphisms data.

The purpose of this study was to develop a novel diagnostic prediction method for allergic diseases from the data of single nucleotide polymorphisms (SNPs) using an artificial neural network (ANN). We applied the prediction method to four allergic diseases, such as atopic dermatitis (AD), allergic conjunctivitis (AC), allergic rhinitis (AR) and bronchial asthma (BA), and verified its predictive ability. Almost all the learning data were precisely predicted. Regarding the evaluation data, the learned ANN model could correctly predict a diagnosis with more than 78% accuracy. We also analyzed the SNP data using multiple regression analysis (MRA). Using the MRA model, less than 10% of patients with the above allergic diseases were correctly diagnosed, while this figure was more than 75% for persons without allergic diseases. From these results, it was shown that the ANN model was superior to the MRA model with respect to predictive ability of allergic diseases. Moreover, we used two different methods to convert the genetic polymorphism data into numerical data. Using both methods, diagnostic predictions were quite precise and almost the same predictive abilities were observed. This is the first study showing the application and usefulness of an ANN for the prediction of allergic diseases based on SNP data.

Journal Article↗

PubMed2002

Effective solitary hyperthermia treatment of malignant glioma using stick type CMC-magnetite. In vivo study.

Various kinds of hyperthermic treatment for malignant glioma had been inhibited due to both their incomplete feverish action and strict cooling effect of the brain. The author shows an effective results of hyperthermia for the treatment of malignant glioma in an in vivo study using stick type carboxymethylcellulose (CMC)-magnetite, a newly manufactured magnetite-product. A stick type CMC-magnetite, containing magnetite particles, was inserted into the T-9 glioma in the rat brain stereotactically, and the rats were exposed to an alternative magnetic field (AMF). The application time of AMF, which measured 88.9 kHz and 380 Oe, was 30 min a day. The rats were divided into three groups: three AMF applications (group I), one AMF application (group II) and no application but only injection of CMC-magnetite (control). As a result, the mean survival in days of these three groups measured 44.2+/-10.9 (group I), 17.0+/-1.5 (group II) and 14.4+/-1.5 (control). This investigation showed both significant effectiveness in attacking malignant glioma and significant prolonging of the survival time in rats. It is also a characteristic feature of the magnetite particles to spread through the tumor diffusely after three applications of AMF. This feature seemed to be one of the main factors that caused greater hyperthermic effect on glioma in this study. This method of hyperthermic treatment could be a useful strategy in the treatment of malignant glioma.

Animals↗

PubMed2002

Analysis of expression profile using fuzzy adaptive resonance theory.

MOTIVATION: It is well understood that the successful clustering of expression profiles give beneficial ideas to understand the functions of uncharacterized genes. In order to realize such a successful clustering, we investigate a clustering method based on adaptive resonance theory (ART) in this report. RESULTS: We apply Fuzzy ART as a clustering method for analyzing the time series expression data during sporulation of Saccharomyces cerevisiae. The clustering result by Fuzzy ART was compared with those by other clustering methods such as hierarchical clustering, k-means algorithm and self-organizing maps (SOMs). In terms of the mathematical validations, Fuzzy ART achieved the most reasonable clustering. We also verified the robustness of Fuzzy ART using noised data. Furthermore, we defined the correctness ratio of clustering, which is based on genes whose temporal expressions are characterized biologically. Using this definition, it was proved that the clustering ability of Fuzzy ART was superior to other clustering methods such as hierarchical clustering, k-means algorithm and SOMs. Finally, we validate the clustering results by Fuzzy ART in terms of biological functions and evidence. AVAILABILITY: The software is available at http//www.nubio.nagoya-u.ac.jp/proc/index.html

Algorithms↗

PubMed2002

Effect of functional magnetic particles on radiofrequency capacitive heating: an in vivo study.

Specific heating of magnetic particles in radiofrequency (RF) capacitive hyperthermia and its hyperthermic effect were investigated in an in vivo study. Magnetite cationic liposomes (MCLs) were injected into a rat tumor on the femur and 8 MHz-RF capacitive heating was applied to the rat under "mild heating" conditions. Although the input power of RF capacitive heating was low under the same power conditions, the MCLs-injected tumor was heated over 43 degrees C, whereas it was only heated to 41 degrees C in the case of the rats not injected with MCLs. A necrotic area in the tumor was observed in the heated rats. From the results of histological observation of the removed tissue, the necrotic area in the MCLs-injected tumor was wider than that in MCLs-free tumor. Complete tumor suppression was observed in 71% (5 / 7) of MCLs-injected rats, and the hyperthermic effect was greatly improved by the MCLs.

Animals↗

PubMed2002

Fuzzy neural network applied to gene expression profiling for predicting the prognosis of diffuse large B-cell lymphoma.

Diffuse large B-cell lymphoma (DLBCL) is the largest category of aggressive lymphomas. Less than 50% of patients can be cured by combination chemotherapy. Microarray technologies have recently shown that the response to chemotherapy reflects the molecular heterogeneity in DLBCL. On the basis of published microarray data, we attempted to develop a long-overdue method for the precise and simple prediction of survival of DLBCL patients. We developed a fuzzy neural network (FNN) model to analyze gene expression profiling data for DLBCL. From data on 5857 genes, this model identified four genes (CD10, AA807551, AA805611 and IRF-4) that could be used to predict prognosis with 93% accuracy. FNNs are powerful tools for extracting significant biological markers affecting prognosis, and are applicable to various kinds of expression profiling data for any malignancy.

DNA-Binding Proteins↗

PubMed2002

Enhanced anthocyanin production from grape callus in an air-lift type bioreactor using a viscous additive-supplemented medium.

An N-medium containing carboxymethyl cellulose (CMC) was applied to an air-lift type bioreactor culture of grape (Vitis vinifera cv. Bailey alicant A.) callus, and anthocyanin production was investigated. Grape callus grew well at an air flow rate of 80 ml/min and anthocyanin production was significantly increased in the N-medium, reaching 17 mg/l after 7 d of culture. The anthocyanin content of the N-medium was about two times higher than that of the conventional medium without CMC. The effect of air flow rate was also investigated within the range from 40 to 160 ml/min. A twofold increase in anthocyanin content was obtained at all the air flow rates tested in the N-medium. The distribution of grape callus size obtained after 7 d of the bioreactor culture was investigated. The average callus size was 490 mum which was 1.6 times larger than that obtained in the conventional medium. It was found that large calli with a relatively high anthocyanin pigment content were formed in the bioreactor culture using the N-medium. The fluid dynamics in the bioreactor was also investigated at three points (top, middle and bottom) in the bioreactor by laser doppler velocimetry. The average axial velocity of the circulated medium was 0.4 times lower than that of the conventional medium while their average radial velocities were almost the same (zero). The standard deviation of radial velocity fluctuation in the N-medium was also 0.4 times less than that in the conventional medium. These results suggest that turbulent flow occurred in the bioreactor culture using the conventional medium and the degree of turbulent flow decreased significantly when 0.8% CMC was added to the medium to prepare the N-medium. A change of the flow pattern is considered to be the cause of the decrease in hydrodynamic stress, resulting in enhanced pigment production due to the enlargement of the callus.

Journal Article↗

PubMed2002

Hidden Markov model-based prediction of antigenic peptides that interact with MHC class II molecules.

Elucidating the interaction between major histocompatibility complex (MHC) molecules and antigenic peptides is fundamental to better understanding of the processes involved in immune responses and for the development of innovative immunotherapies. In the present study, hidden Markov models (HMM) were combined with the successive state splitting (SSS) algorithm for optimization of the HMM structure, to predict peptide binders to the human MHC class II molecule HLA-DRB1*0101. The predictive performance of our model (S-HMM) was compared with fully connected HMM and artificial neural network (ANN) methods using the relative operating characteristic (ROC) analysis. The S-HMM predictions had values of ROC > or = 0.85 which was at least as good, or better than the comparison methods. In addition, S-HMM is trained on positive data only and does not require exhaustive data preprocessing, such as peptide alignment. Our results demonstrated that S-HMM combines the high accuracy of predictions with the simplicity of implementation and is therefore useful for analyzing MHC class II binding peptides. In particular the S-HMM may be trained using only positive data and, the preprocessing of training data, such as peptide alignment and the selection of binding cores, is not required in this method.

Journal Article↗

PubMedDate not supplied

Tissue engineering using magnetite nanoparticles and magnetic force: heterotypic layers of cocultured hepatocytes and endothelial cells.

Novel technologies to establish three-dimensional, in vivo-like tissue consisting of various types of cells are required for tissue engineering. We applied magnetic force to construct a heterotypic, layered coculture system of rat hepatocytes and human aortic endothelial cells (HAECs) that was not limited by cell type. Magnetite cationic liposomes carrying a positive surface charge to improve adsorption accumulated in HAECs at a concentration of 38 pg of magnetite per cell. Magnetically labeled HAECs specifically accumulated onto hepatocyte monolayers at sites where a magnet (4000 G) was positioned, and then adhered to form a heterotypic, layered construct with tight and close contact. This cocultured construct significantly (p < 0.05) enhanced albumin secretion by hepatocytes compared with that in homotypic cultures of hepatocytes or heterotypic cocultures of hepatocytes and HAECs without magnets. These results suggest that this novel use of magnetite nanoparticles and magnetic force, which we refer to as "magnetic force-based tissue engineering" (Mag-TE), offers a major advancement in tissue engineering.

Animals↗

PubMedDate not supplied

Construction and harvest of multilayered keratinocyte sheets using magnetite nanoparticles and magnetic force.

Novel technologies to establish three-dimensional constructs are desired for tissue engineering. In the present study, magnetic force was used to construct multilayered keratinocyte sheets and harvest the sheets without enzymatic treatment. Our original magnetite cationic liposomes, which have a positive surface charge in order to improve adsorption, were taken up by human keratinocytes at a concentration of 33 pg of magnetite per cell. The magnetically labeled keratinocytes (2x10(6) cells, which corresponds to 5 times the confluent concentration against the culture area of 24-well plates, in order to produce 5-layered keratinocyte sheets) were seeded into a 24-well ultralow-attachment plate, the surface of which was composed of a covalently bound hydrogel layer that is hydrophilic and neutrally charged. A magnet (4000 G) was placed under the well, and the keratinocytes formed a five-layered construct in low-calcium medium (calcium concentration, 0.15 mM) after 24 h of culture. Subsequently, when the five-layered keratinocytes were cultured in high-calcium medium (calcium concentration, 1.0 mM), keratinocytes further stratified, resulting in the formation of 10-layered epidermal sheets. When the magnet was removed, the sheets were detached from the bottom of the plates, and the sheets could be harvested with a magnet. These results suggest that this novel methodology using magnetite nanoparticles and magnetic force, which we have termed "magnetic force-based tissue engineering" (Mag-TE), is a promising approach for tissue engineering.

Cell Movement↗

PubMedDate not supplied

Novel methodology for fabrication of tissue-engineered tubular constructs using magnetite nanoparticles and magnetic force.

Novel technologies for creating three-dimensional constructs with complex shapes would be highly useful in tissue engineering. In the present study, tubular structures were constructed using magnetic force. Magnetite nanoparticles in cationic liposomes were taken up by target cells. The magnetically labeled cells were seeded onto ultralow-attachment plates, and a magnet was placed under the wells. After 24 h of culture, the magnetically labeled cells formed a cell sheet. Subsequently, when a cylindrical magnet was rolled onto the cell sheet, the cell sheet was attracted to the magnet and formed a tube around it. The magnet was then removed, leaving behind a tubular structure. Two types of tissue were used to create tubular structures: urinary tissue, consisting of a monotypic urothelial cell layer; and vascular tissue, consisting of heterotypic layers of endothelial cells, smooth muscle cells, and fibroblasts. The present results suggest that this novel methodology using magnetite nanoparticles and magnetic force, which we have termed "magnetic force-based tissue engineering" (Mag-TE), is a promising approach to constructing tissue-engineered tubular structures.

Animals↗

PubMedDate not supplied

Construction and delivery of tissue-engineered human retinal pigment epithelial cell sheets, using magnetite nanoparticles and magnetic force.

Choroidal neovascularization (CNV) is the most severe form of age-related macular degeneration (AMD), which causes rapid visual loss. Transplantation of cultured retinal pigment epithelium (RPE) cell sheet by tissue engineering is a possible approach to the treatment of CNV. In the present study, we investigated the possibility of using magnetite nanoparticles and magnetic force to construct and deliver RPE cell sheets in vitro. When magnetite cationic liposomes (MCLs), having a positive charge at the surface, were added to ARPE-19 human RPE cells at a concentration of 25 or 50 pg of magnetite per cell, the cells took up 40 to 55% of the MCLs. The magnetically labeled ARPE-19 cells (8 x 10(3) cells/mm(2), which corresponds to 10-fold the confluent concentration against the culture area [4 mm(2)]) were seeded into an ultra-low-attachment plate and a magnet (4000 G) was placed under the well. The magnetically labeled ARPE-19 cells formed an approximately 15-layered cell sheet after a 24 h of culture. When the magnet was removed, the sheets were detached from the bottom of the plate and then harvested and transferred to a tissue culture dish, using a magnet. Subsequently, the cell sheets were attached onto the dish, and the cells growing on the sheets were observed. This novel methodology, termed "magnetic force-based tissue engineering" (Mag-TE), is a possible approach for CNV treatment.

Bioprosthesis↗

PubMedDate not supplied

Minimal sizes of cases with a susceptible genotype and minimal odds ratios among susceptible individuals in case-control studies.

OBJECTIVE: Disease risk elevation due to an environmental factor only for individuals with a susceptible genotype is a typical example of gene-environment interaction. In order to identify risk factors interacting with susceptible genotypes in case-control studies, presumptions on minimal size of cases with the susceptible genotype (S (min)) and odds ratio (OR) among the susceptible individuals (OR(susceptible)) are useful. MODEL: Proportion of exposed cases (P(1)) and OR for whole cases (OR(whole)) statistically detectable in a case-control study can be calculated in a conventional method. P(1) was assumed to be a weighted sum of the exposed among cases with the genotype (P(x)) and cases without the genotype (equal to proportion of the exposed among controls, P(0)), i.e., S P(x) + (1 - S) P0, where S is the size (proportion) of cases with the genotype. For each calculated P(1), S became the minimum (S(min)) in case of P(x) = 1. OR(susceptible) was calculated by {P(x) (1 - P(0))} / {(1 - P(x)) P(0)}. RESULTS: S(min) and OR(susceptible) were listed for the combinations of the above components. For example, a detectable P(1) was 0.638 for P(0)=0.5 in a case-control study with 200 cases (N(1)) and 200 controls (N(0)), when a error of a two-sided test was 0.05 with an 80% of power. In case of P(1)=0.638, OR(whole) was 1.77, producing S(min) = 0.277 for infinite OR(susceptible). It indicates that an environmental factor cannot be detected in case that a high-risk genotype frequency is less than 0.277. INTERPRETATION: If the size of cases with a susceptible genotype is expected to be less than S(min), case-control studies are unlikely to detect a significant OR of the environmental factor.

Case-Control Studies↗