Search PubMed⌕ Search

Biomedical subjects

Hiroyuki Honda

Publications and source records attributed to Hiroyuki Honda.

At least 19 recordsLinked to original sources

Construction of multi-layered cardiomyocyte sheets using magnetite nanoparticles and magnetic force.

Heart tissue engineering requires construction of three-dimensional (3-D) tissues composed of cardiomyocytes (CMs) that are tightly connected to each other. The aim of this study was to construct "scaffold-less" multi-layered 3-D CM sheets using magnetic force-based tissue engineering (Mag-TE) and to evaluate the cell-to-cell functional connections within the CM sheets. Original magnetite cationic liposomes (MCLs) with a positive surface charge (which facilitate adsorption to the target cell surface) were taken up by CMs that were isolated from 2-day-old Wistar rats. When MCLs were added to the medium of CMs at magnetite concentrations of 25, 50, and 100 pg per cell, subsequent measurements showed that 7.2, 13.2, and 27.3 pg of magnetite were taken up per cell, respectively, after 4 h incubation at 37 degrees C. Further, no toxicity was observed after a 24 h incubation period. Using magnetically labeled CMs (magnetite concentration, 100 pg/cell), multi-layered CM sheets were constructed. Immunofluorescent staining of connexin43 demonstrated the presence of gap junctions within the CM sheets that were constructed by Mag-TE. Moreover, electrical connections within the CM sheets constructed by Mag-TE were confirmed using extracellular potential mapping. These results indicate that Mag-TE is a viable methodology for heart tissue engineering.

Animals↗

Cancer diagnosis marker extraction for soft tissue sarcomas based on gene expression profiling data by using projective adaptive resonance theory (PART) filtering method.

BACKGROUND: Recent advances in genome technologies have provided an excellent opportunity to determine the complete biological characteristics of neoplastic tissues, resulting in improved diagnosis and selection of treatment. To accomplish this objective, it is important to establish a sophisticated algorithm that can deal with large quantities of data such as gene expression profiles obtained by DNA microarray analysis. RESULTS: Previously, we developed the projective adaptive resonance theory (PART) filtering method as a gene filtering method. This is one of the clustering methods that can select specific genes for each subtype. In this study, we applied the PART filtering method to analyze microarray data that were obtained from soft tissue sarcoma (STS) patients for the extraction of subtype-specific genes. The performance of the filtering method was evaluated by comparison with other widely used methods, such as signal-to-noise, significance analysis of microarrays, and nearest shrunken centroids. In addition, various combinations of filtering and modeling methods were used to extract essential subtype-specific genes. The combination of the PART filtering method and boosting--the PART-BFCS method--showed the highest accuracy. Seven genes among the 15 genes that are frequently selected by this method--MIF, CYFIP2, HSPCB, TIMP3, LDHA, ABR, and RGS3--are known prognostic marker genes for other tumors. These genes are candidate marker genes for the diagnosis of STS. Correlation analysis was performed to extract marker genes that were not selected by PART-BFCS. Sixteen genes among those extracted are also known prognostic marker genes for other tumors, and they could be candidate marker genes for the diagnosis of STS. CONCLUSION: The procedure that consisted of two steps, such as the PART-BFCS and the correlation analysis, was proposed. The results suggest that novel diagnostic and therapeutic targets for STS can be extracted by a procedure that includes the PART filtering method.

Algorithms↗

Complete regression of experimental prostate cancer in nude mice by repeated hyperthermia using magnetite cationic liposomes and a newly developed solenoid containing a ferrite core.

BACKGROUND: Magnetite cationic liposomes (MCLs) can be used to induce hyperthermia because they generate heat in an alternating magnetic field (AMF). This study aimed at developing more practical method for MCL hyperthermia examining the effect of MCL-induced hyperthermia on human prostate cancer in vivo. MATERIALS AND METHODS: A newly developed AMF generator incorporating a solenoid with a ferrite core (FC) was used. Human prostate cancer cells (PC-3 and LNCap) were injected subcutaneously into nude mice. MCLs were injected into tumor nodule and the mice were exposed into AMF three times at 24-hr intervals (repeated hyperthermia; RH) until complete tumor regression was observed. RESULTS: Irradiation with an AMF generated by newly developed device can adequately increase the temperature of tumor tissue. Frequent RH resulted in complete tumor regression in all nude mice. CONCLUSION: RH using MCLs may be a promising new therapy for hormone-refractory human prostate cancer in the future.

Animals↗

Modified signal-to-noise: a new simple and practical gene filtering approach based on the concept of projective adaptive resonance theory (PART) filtering method.

UNLABELLED: Considering the recent advances in and the benefits of DNA microarray technologies, many gene filtering approaches have been employed for the diagnosis and prognosis of diseases. In our previous study, we developed a new filtering method, namely, the projective adaptive resonance theory (PART) filtering method. This method was effective in subclass discrimination. In the PART algorithm, the genes with a low variance in gene expression in either class, not both classes, were selected as important genes for modeling. Based on this concept, we developed novel simple filtering methods such as modified signal-to-noise (S2N') in the present study. The discrimination model constructed using these methods showed higher accuracy with higher reproducibility as compared with many conventional filtering methods, including the t-test, S2N, NSC and SAM. The reproducibility of prediction was evaluated based on the correlation between the sets of U-test p-values on randomly divided datasets. With respect to leukemia, lymphoma and breast cancer, the correlation was high; a difference of >0.13 was obtained by the constructed model by using <50 genes selected by S2N'. Improvement was higher in the smaller genes and such higher correlation was observed when t-test, NSC and SAM were used. These results suggest that these modified methods, such as S2N', have high potential to function as new methods for marker gene selection in cancer diagnosis using DNA microarray data. AVAILABILITY: Software is available upon request.

Algorithms↗

High-throughput screening of cell death inducible short peptides from TNF-related apoptosis-inducing ligand sequence.

Therapeutic peptides and small molecules, rationally designed to trigger cell death have attracted strong attention. Cell death inducible peptides were screened from amino acid sequence of tumor necrosis factor-related apoptosis-inducing ligand (TRAIL). Using Fmoc solid phase synthesis, cellulose membrane-bound octameric peptide library of TRAIL scan was prepared and cell viability assay was directly performed on peptide disk with Jurkat cells. Six peptide sequences that could induce cell death were found. Peptide sequence with RNSCWSKD (TRAIL(227-234)) that exist in the zinc-binding site revealed high cell death inducible activity. Apoptotic cell death was observed when cells were treated with soluble synthesized peptide.

Amino Acid Sequence↗

Enhanced cell-seeding into 3D porous scaffolds by use of magnetite nanoparticles.

To engineer functional tissues, a large number of cells must be successfully seeded into scaffolds. We previously proposed a methodology for tissue engineering using magnetite nanoparticles and magnetic force, which we termed "Mag-TE." In the present study, we applied the Mag-TE technique to a cell seeding process and have termed the technique "Mag-seeding." The cell-seeding efficiency of NIH/3T3 fibroblasts (FBs) by Mag-seeding was investigated using six types of commercially available scaffolds (5 collagen sponges and 1 D,D-L,L polylactic acid sponge) having various pore sizes. FBs were magnetically labeled with our original magnetite cationic liposomes (MCLs), which have a positive surface charge, to improve adsorption onto the cell surface. FBs labeled with MCLs were seeded onto a scaffold, and a magnet (4 kG) was placed under the scaffold. Mag-seeding facilitated successful cell seeding into the deep internal space of the scaffolds. Cell-seeding efficiency increased significantly in all scaffolds when compared to those without magnetic force. Moreover, when a high-intensity magnet (10 kG) was used, cell-seeding efficiency was significantly enhanced. These results suggest that Mag-seeding is a promising approach for tissue engineering.

Animals↗

Prediction of peptide binding to major histocompatibility complex class II molecules through use of boosted fuzzy classifier with SWEEP operator method.

To treat autoimmune diseases, it is important to identify which peptides bind to major histocompatibility complex (MHC) class II molecules (HLA-DRs). Predicting the peptides that bind to MHC class II molecules can effectively reduce the number of experiments required for identifying helper T cell epitopes. In our previous study, we applied fuzzy neural networks (FNNs) to solve this problem. However, an FNN requires a long calculation time and a large number of peptides; this means performing several experiments. In this study, we applied a boosted fuzzy classifier with the SWEEP operator method (BFCS) to solve this problem. For comparison, two other conventional modeling methods, namely, support vector machine and FNN combined with the SWEEP operator method (FNN-SWEEP) instead of using solely an FNN, were employed. Compared with FNN, FNN-SWEEP is extremely fast and has an almost identical prediction accuracy. The model constructed by BFCS showed an accuracy approximately 5%-10% higher than that constructed by FNN-SWEEP. In addition, BFCS was 30,000-120,000 times faster than FNN-SWEEP. This result suggests that BFCS has the potential to function as a new method of predicting peptides that bind to various protein receptors.

Fuzzy Logic↗

Gene expression property of high-density three-dimensional tissue of HepG2 cells formed in radial-flow bioreactor.

In our previous study, we examined three-dimensional culture using 5-ml radial-flow bioreactor (RFB) and showed that genes encoding cell cycle related proteins were suppressed in a stable phase. In this study, we analyzed the gene expression profiles of RFB-cultivated HepG2 cells and found that vascular endothelial growth factor (VEGF) production was strongly induced in the stable phase compared with the growth phase or static two-dimensional culture. When human umbilical vein endothelial cells (HUVECs) were grown under the conditioned medium of the stable phase, it was found that the formation of new blood vessels was induced in the angiogenesis model. DNA microarray analysis showed that the expression levels of both genes related to cell cycle arrest and which are known as tumor markers have increased in the stable phase. This result suggests that HepG2 cells in the stable phase maintain an active tumor phenotype. In addition, the expression of genes induced in the hypoxic condition was also induced in the stable phase. When the culture was carried out under a higher dissolved oxygen (DO) concentration, VEGF production did not decrease significantly and the new blood-vessel-forming ability of the conditioned medium was not suppressed. This suggests that the induction of VEGF production in a stable phase is not affected by DO during the tested level. These results suggest that the RFB cell culture system may be used to assess tumor progression mechanism under three-dimensional condition in vitro.

Biomarkers, Tumor↗

Peptide array-based interaction assay of solid-bound peptides and anchorage-dependant cells and its effectiveness in cell-adhesive peptide design.

Peptide array, the designable peptide library covalently synthesized on cellulose support, was applied to assay peptide-cell interaction, between solid-bound peptides and anchorage-dependant cells, to study objective peptide design. As a model case, cell-adhesive peptides that could enhance cell growth as tissue engineering scaffold material, was studied. On the peptide array, the relative cell-adhesion ratio of NIH/3T3 cells was 2.5-fold higher on the RGDS (Arg-Gly-Asp-Ser) peptide spot as compared to the spot with no peptide, thus indicating integrin-mediated peptide-cell interaction. Such strong cell adhesion mediated by the RGDS peptide was easily disrupted by single residue substitution on the peptide array, thus indicating that the sequence recognition accuracy of cells was strictly conserved in our optimized scheme. The observed cellular morphological extension with active actin stress-fiber on the RGD motif-containing peptide supported our strategy that peptide array-based interaction assay of solid-bound peptide and anchorage-dependant cells (PIASPAC) could provide quantitative data on biological peptide-cell interaction. The analysis of 180 peptides obtained from fibronectin type III domain (no. 1447-1629) yielded 18 novel cell-adhesive peptides without the RGD motif. Taken together with the novel candidates, representative rules of ineffective amino acid usage were obtained from non-effective candidate sequences for the effective designing of cell-adhesive peptides. On comparing the amino acid usage of the top 20 and last 20 peptides from the 180 peptides, the following four brief design rules were indicated: (i) Arg or Lys of positively charged amino acids (except His) could enhance cell adhesion, (ii) small hydrophilic amino acids are favored in cell-adhesion peptides, (iii) negatively charged amino acids and small amino acids (except Gly) could reduce cell adhesion, and (iv) Cys and Met could be excluded from the sequence combination since they have less influence on the peptide design. Such rules that are indicative of the nature of the functional peptide sequence can be obtained only by the mass comparison analysis of PIASPAC using peptide array. By following such indicative rules, numerous amino acid combinations can be effectively screened for further examination of novel peptide design.

Amino Acid Sequence↗

Classification of intramural metastases and lymph node metastases of esophageal cancer from gene expression based on boosting and projective adaptive resonance theory.

Esophageal cancer is a well-known cancer with poorer prognosis than other cancers. An optimal and individualized treatment protocol based on accurate diagnosis is urgently needed to improve the treatment of cancer patients. For this purpose, it is important to develop a sophisticated algorithm that can manage a large amount of data, such as gene expression data from DNA microarrays, for optimal and individualized diagnosis. Marker gene selection is essential in the analysis of gene expression data. We have already developed a combination method of the use of the projective adaptive resonance theory and that of a boosted fuzzy classifier with the SWEEP operator denoted PART-BFCS. This method is superior to other methods, and has four features, namely fast calculation, accurate prediction, reliable prediction, and rule extraction. In this study, we applied this method to analyze microarray data obtained from esophageal cancer patients. A combination method of PART-BFCS and the U-test was also investigated. It was necessary to use a specific type of BFCS, namely, BFCS-1,2, because the esophageal cancer data were very complexity. PART-BFCS and PART-BFCS with the U-test models showed higher performances than two conventional methods, namely, k-nearest neighbor (kNN) and weighted voting (WV). The genes including CDK6 could be found by our methods and excellent IF-THEN rules could be extracted. The genes selected in this study have a high potential as new diagnosis markers for esophageal cancer. These results indicate that the new methods can be used in marker gene selection for the diagnosis of cancer patients.

Algorithms↗

[Hyperintense optic nerve lesion on T2-weighted MRI imaging in the acute stage of Leber's hereditary optic neuropathy: a case report].

A 46-year-old man was admitted to our hospital for acute onset, bilateral visual disturbance. Neither papilledema nor optic atrophy was found. Brain MRI revealed a hyperintense lesion in the optic chiasm on T2-weighted imaging. No enhancement was detected in gadolinium-enhanced MRIs. Based on these results, a diagnosis of retrobulbar neuritis was made, and steroid pulse therapy was performed. However, the visual acuity did not improve at all. We therefore suspected Leber's hereditary optic neuropathy (LHON) and thus performed a PCR analysis of the mitochondrial DNA. It revealed a G to A transition at nucleotide position 11778 of the mitochondrial DNA, which has been frequently observed in LHON patients in Japan. Based on the above findings, when middle-aged patients present an acute onset of visual loss, LHON should be included in the differential diagnosis.

Acute Disease↗

Intratumoral injection of immature dendritic cells enhances antitumor effect of hyperthermia using magnetic nanoparticles.

Dendritic cells (DCs) are potent antigen-presenting cells that play a pivotal role in regulating immune responses in cancer and have recently been shown to be activated by heat shock proteins (HSPs). We previously reported that HSP70 expression after hyperthermia induces antitumor immunity. Our hyperthermia system using magnetite cationic liposomes (MCLs) induced necrotic cell death that was correlated with HSP70 release. In the present study, we investigated the therapeutic effects of DC therapy combined with MCL-induced hyperthermia on mouse melanoma. In an in vitro study, when immature DCs were pulsed with mouse B16 melanoma cells heated at 43 degrees C, major histocompatibility complex (MHC) class I/II, costimulatory molecules CD80/CD86 and CCR7 in the DCs were upregulated, thus resulting in DC maturation. C57BL/6 mice bearing a melanoma nodule were subjected to combination therapy using hyperthermia and DC immunotherapy in vivo by means of tumor-specific hyperthermia using MCLs and directly injected immature DCs. Mice were divided into 4 groups: group I (control), group II (hyperthermia), group III (DC therapy) and group IV (hyperthermia + DC therapy). Complete regression of tumors was observed in 60% of mice in group IV, while no tumor regression was seen among mice in the other groups. Increased cytotoxic T lymphocyte (CTL) and natural killer (NK) activity was observed on in vitro cytotoxicity assay using splenocytes in the cured mice treated with combination therapy, and the cured mice rejected a second challenge of B16 melanoma cells. This study has important implications for the application of MCL-induced hyperthermia plus DC therapy in patients with advanced malignancies as a novel cancer therapy.

Animals↗

Anticancer effect of hyperthermia on prostate cancer mediated by magnetite cationic liposomes and immune-response induction in transplanted syngeneic rats.

BACKGROUND: The hyperthermic effect of magnetic particles was examined in rat prostate cancer in vivo. Magnetic cationic liposomes (MCLs) have a positive surface charge and generate heat in an alternating magnetic field (AMF) due to hysteresis losses. METHODS: Rat prostate cancer cells (PLS 10; androgen independent) were injected subcutaneously into the flank of F344 rats. MCLs were injected into rat prostate cancer nodules that had grown to 5-6 mm in diameter, and were then exposed to an AMF. Tumor growth rates were measured. To examine whether hyperthermia caused immune induction for PLS 10, cytotoxicity assays and immunohistochemical staining for CD3, CD4, CD8, and Heat Shock Protein (HSP) 70 were performed. RESULT: The tumor temperature increased to 45 degrees C whereas the body temperature remained at around 38 degrees C. Tumor regression was observed in the hyperthermic group. CD3, CD4, and CD8 immunocytes were present in the tumor tissues of the rats exposed to hyperthermia, but they were not detected in any of the tumor tissue of untreated rats. HSP70 also appeared in the viable area at its boundary with the necrotic area. The cytotoxic activity of tumor-transplanted rats for PLS 10 cells increased in hyperthermic-treatment rats. CONCLUSION: These results suggest that hyperthermia using MCLs is an effective therapy for prostate cancer, since this treatment appears to kill the prostate cancer cells not only directly by heating but also by inducing an immune response. This therapy may cure not only the primary lesion but also metastatic lesions.

Animals↗

Cancer immunotherapy based on intracellular hyperthermia using magnetite nanoparticles: a novel concept of "heat-controlled necrosis" with heat shock protein expression.

Heat shock proteins (HSPs) are highly conserved proteins whose syntheses are induced by a variety of stresses, including heat stress. Since the expression of HSPs, including HSP70, protects cells from heat-induced apoptosis, HSP expression has been considered to be a complicating factor in hyperthermia. On the other hand, recent reports have shown the importance of HSPs, such as HSP70, HSP90 and glucose-regulated protein 96 (gp96), in immune reactions. If HSP expression induced by hyperthermia is involved in tumor immunity, novel cancer immunotherapy based on this novel concept can be developed. In such a strategy, a tumor-specific hyperthermia system, which can heat the local tumor region to the intended temperature without damaging normal tissue, would be highly advantageous. To achieve tumor-specific hyperthermia, we have developed an intracellular hyperthermia system using magnetite nanoparticles. This novel hyperthermia system can induce necrotic cell death via HSP expression, which induces antitumor immunity. In the present article, cancer immunology and immunotherapy based on hyperthermia, and HSP expression are reviewed and discussed.

Animals↗

Novel strategy for protein exploration: high-throughput screening assisted with fuzzy neural network.

To engineer proteins with desirable characteristics from a naturally occurring protein, high-throughput screening (HTS) combined with directed evolutional approach is the essential technology. However, most HTS techniques are simple positive screenings. The information obtained from the positive candidates is used only as results but rarely as clues for understanding the structural rules, which may explain the protein activity. In here, we have attempted to establish a novel strategy for exploring functional proteins associated with computational analysis. As a model case, we explored lipases with inverted enantioselectivity for a substrate p-nitrophenyl 3-phenylbutyrate from the wild-type lipase of Burkhorderia cepacia KWI-56, which is originally selective for (S)-configuration of the substrate. Data from our previous work on (R)-enantioselective lipase screening were applied to fuzzy neural network (FNN), bioinformatic algorithm, to extract guidelines for screening and engineering processes to be followed. FNN has an advantageous feature of extracting hidden rules that lie between sequences of variants and their enzyme activity to gain high prediction accuracy. Without any prior knowledge, FNN predicted a rule indicating that "size at position L167," among four positions (L17, F119, L167, and L266) in the substrate binding core region, is the most influential factor for obtaining lipase with inverted (R)-enantioselectivity. Based on the guidelines obtained, newly engineered novel variants, which were not found in the actual screening, were experimentally proven to gain high (R)-enantioselectivity by engineering the size at position L167. We also designed and assayed two novel variants, namely FIGV (L17F, F119I, L167G, and L266V) and FFGI (L17F, L167G, and L266I), which were compatible with the guideline obtained from FNN analysis, and confirmed that these designed lipases could acquire high inverted enantioselectivity. The results have shown that with the aid of bioinformatic analysis, high-throughput screening can expand its potential for exploring vast combinatorial sequence spaces of proteins.

Fuzzy Logic↗

Magnetic force-based mesenchymal stem cell expansion using antibody-conjugated magnetoliposomes.

Recently, there has been an accumulation of evidence indicating that human mesenchymal stem cells (MSCs, multipotent cells resident in the bone marrow) are useful for autologous cell transplantation. However, only small numbers of MSCs have been obtained in bone marrow aspirates. We have developed a novel methodology for enriching and proliferating MSCs from bone marrow aspirates using antibody-conjugated magnetoliposomes (AMLs). The AMLs are liposomes conjugated to anti-CD105 antibody (immunoliposomes) and contain magnetite nanoparticles (diameter 10 nm). In the present study, the AMLs were added to a small volume (1 mL) of human bone marrow aspirate. After a 1-h incubation period, the bone marrow aspirates containing AMLs were seeded into 10-cm tissue culture dishes, and a disk-shaped magnet (diameter 2.2 cm; height 1 cm; 4000 Gauss) was positioned under the dish to enrich MSCs by magnetic force. The MSCs proliferated, forming colonies at the site where the magnet was positioned. In contrast, no colonies and very few viable cells were observed in ordinary culture based on plastic-adherent tendencies of cells without use of AMLs. These results suggest that this AML culture method can rapidly and efficiently expand a small number of MSCs into numbers suitable for clinical application.

Animals↗

Association between Helicobacter pylori seropositivity and NAD(P)H:quinone oxidoreductase 1 (NQO1) C609T polymorphism observed in outpatients and health checkup examinees.

BACKGROUND: Significant associations of Helicobacter pylori (H. pylori) seropositivity have been found with several host polymorphisms. This study investigated the associations of functional polymorphisms of the NQO1, GSTM1, and GSTT1 genes of detoxification enzymes, with the seropositivity, as well as with pepsinogen levels, as markers of gastric atrophy. METHODS: The subjects were 241 noncancer outpatients who had participated in an H. pylori eradication program (HPE) at Aichi Cancer Center Hospital, and 465 health checkup examinees in Nagoya (HCE). The NQO1 C609T, GSTM1, and GSTT1 polymorphisms were determined by triplex polymerase chain reaction with confronting two-pair primers (PCR-CTPP). RESULTS: The sex- and age-group-adjusted odds ratio (OR) of NQO1 C/C for H. pylori seropositivity relative to T/T was highly significant; OR, 1.92; 95% confidence interval (95% CI), 1.22-3.03. The ORs of the GSTM1 present type and GSTT1 present type for H. pylori seropositivity were not significant; OR, 0.87; 95% CI, 0.64-1.20 and OR, 1.14; 95% CI, 0.83-1.57, respectively. The association of the NQO1 C/C genotype with H. pylori seropositivity was observed only for never-smokers; OR, 2.25; 95% CI, 1.33-3.79. The genotypes of the NQO1, GSTM1, and GSTT1 genes were not associated with the development of atrophic gastritis among the H. pylori-seropositive subjects. CONCLUSION: This is the first study to report a significant association of the NQO1 C609T polymorphism with H. pylori seropositivity. The biological mechanism explaining the significant association with the seropositivity remains to be elucidated.

Adult↗