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At least 397 records · Page 22Linked to original sources
PubMed1998

Power spectral analysis of heart rate variability by autoregressive modelling and fast Fourier transform: a comparative study.

OBJECTIVE: To compare the results from autoregressive modelling (ARM) and from fast Fourier transform (FFT), the most commonly used methods for the analysis of short-term heart rate variability in the frequency domain. METHODS & RESULTS: RR interval and respiratory activity were recorded in the supine and standing positions under standardized laboratory conditions in a population-based sample of 614 subjects. The low-(LF) and high-frequency (HF) components of heart rate variability were identified by power spectral analysis, by use of FFT, with application of two sets of frequency ranges, and by ARM; LF and HF power were expressed in both normalized (%) and absolute units (ms2). The RR interval, its variance and the HF power decreased from the supine to the standing position (P < 0.001). The LF power increased on standing when expressed in normalized units, but decreased in absolute units, whereas the LF-to-HF ratio increased (P < 0.001). On the low side of the spectrum, FFT slightly overestimated the LF component obtained with ARM, when the predefined frequency range was 0.05-0.15 Hz (P < 0.001); the underestimation of LF in the frequency range 0.07-0.14 Hz was more pronounced, particularly in the erect position (P < 0.001). Both FFT methods overestimated (P < 0.001) the ARM HF component, more so for the 0.15-0.50 Hz range than for the 0.14-0.35 Hz range. Finally, we observed considerable within-subject differences between methods, which were estimated by calculation of the limits of agreement. CONCLUSIONS: Different methods for spectral decomposition of short-term heart rate variability yield similar qualitative results, but the quantitative results differ between ARM and FFT, and within the FFT method according to the selected frequency range.

Adult↗
PubMed2005

Diffuse-interface model for rapid phase transformations in nonequilibrium systems.

A thermodynamic approach to rapid phase transformations within a diffuse interface in a binary system is developed. Assuming an extended set of independent thermodynamic variables formed by the union of the classic set of slow variables and the space of fast variables, we introduce finiteness of the heat and solute diffusive propagation at the finite speed of the interface advancing. To describe transformations within the diffuse interface, we use the phase-field model which allows us to follow steep but smooth changes of phase within the width of the diffuse interface. Governing equations of the phase-field model are derived for the hyperbolic model, a model with memory, and a model of nonlinear evolution of transformation within the diffuse interface. The consistency of the model is proved by the verification of the validity of the condition of positive entropy production and by outcomes of the fluctuation-dissipation theorem. A comparison with existing sharp-interface and diffuse-interface versions of the model is given.

Journal Article↗
PubMed2004

Tumor sensitivity to IFN-gamma is required for successful antigen-specific immunotherapy of a transplantable mouse tumor model for HPV-transformed tumors.

PURPOSE: Many human tumors lose responsiveness to IFN-gamma, providing a possible mechanism for the tumor to avoid immune recognition and destruction. Here we investigate the importance of tumor responsiveness to IFN-gamma in the successful immunotherapy of TC1 tumors that were immortalized with human papillomavirus proteins E6 and E7. METHODS: To investigate the role of IFN-gamma in vivo, we constructed a variant of TC1, TC1.mugR, that is unresponsive to IFN-gamma due to overexpression of a dominant negative IFN-gamma receptor. RESULTS: Using recombinant Listeria monocytogenes that express HPV-16 E7 (Lm-LLO-E7) to stimulate an antitumor response, we demonstrate that sensitivity to IFN-gamma is required for therapeutic efficacy in that Lm-LLO-E7 induces regression of TC1 tumors but not TC1.mugR. In addition, we show that tumor sensitivity to IFN-gamma is not required for inhibition of tumor angiogenesis by Lm-LLO-E7 or for trafficking of CD4+ and CD8+ T cells to the tumor. However, it is required for penetration of lymphocytes into the tumor mass in vivo. CONCLUSIONS: Our findings identify a role for IFN-gamma in immunity to TC1 tumors and show that loss of tumor responsiveness to IFN-gamma poses a challenge to antigen-based immunotherapy.

Animals↗
PubMed1985

A general noninteractive multiple toxicity model including probit, logit, and Weibull transformations.

A multiple toxicity model for the quantal response of organisms is constructed based on an existing bivariate theory. The main assumption is that the tolerances follow a multivariate normal distribution function. However, any monotone tolerance distribution can be applied by mapping the integration region in the n-dimensional space of transforms on the n-dimensional space of normal equivalent deviates. General requirements to noninteractive bivariate tolerance distributions are discussed, and it is shown that bivariate logit and Weibull distributions, constructed according to the mapping procedure, meet these criteria. The univariate Weibull dose-response model is given a novel interpretation in terms of reactions between toxicant molecules and a hypothetical key receptor of the organism. The application of the multiple toxicity model is demonstrated using literature data for the action of gamma-benzene hexachloride and pyrethrins on flour beetles (Tribolium castaneum). Nonnormal tolerance distributions are needed when the mortality data include extreme response probabilities.

Analysis of Variance↗
PubMedDate not supplied

Model simulation of environmental profile transformation and fate of polychlorinated dibenzo-p-dioxins and polychlorinated dibenzofurans by the multimedia environmental fate model.

Environmental profile transformation and fate of polychlorinated dibenzo-p-dioxins (PCDD) and polychlorinated dibenzofurans (PCDF) were studied using the fugacity-based multimedia environmental fate model. Mass fluxes between compartments were estimated by the steady-state modeling. From the model estimates, major mass fluxes coming from emission source were shown to go to the soil and water through wet/dry deposition, then go to degradation mainly in the soil and sediment. Simulation of homologue profile transformation was also performed and some controlling parameters were pointed out. Part of profile transformation phenomenon was simulated well at least qualitatively, which was the result of the difference in the physical/chemical properties of homologues. Long-term environmental fate of PCDD/PCDF was also studied using the non steady-state multimedia fate model.

Air Pollution↗
PubMed2005

Simulation of gel phase formation and melting in lipid bilayers using a coarse grained model.

The transformation between a gel and a fluid phase in dipalmitoyl-phosphatidylcholine (DPPC) bilayers has been simulated using a coarse grained (CG) model by cooling bilayer patches composed of up to 8000 lipids. The critical step in the transformation process is the nucleation of a gel cluster consisting of 20-80 lipids, spanning both monolayers. After the formation of the critical cluster, a fast growth regime is entered. Growth slows when multiple gel domains start interacting, forming a percolating network. Long-lived fluid domains remain trapped and can be metastable on a microsecond time scale. From the temperature dependence of the rate of cluster growth, the line tension of the fluid-gel interface was estimated to be 3+/-2 pN. The reverse process is observed when heating the gel phase. No evidence is found for a hexatic phase as an intermediate stage of melting. The hysteresis observed in the freezing and melting transformation is found to depend both on the system size and on the time scale of the simulation. Extrapolating to macroscopic length and time scales, the transition temperature for heating and cooling converges to 295+/-5 K, in semi-quantitative agreement with the experimental value for DPPC (315 K). The phase transformation is associated with a drop in lateral mobility of the lipids by two orders of magnitude, and an increase in the rotational correlation time of the same order of magnitude. The lipid headgroups, however, remain fluid. These observations are in agreement with experimental findings, and show that the nature of the ordered phase obtained with the CG model is indeed a gel rather than a crystalline phase. Simulations performed at different levels of hydration furthermore show that the gel phase is stabilized at low hydration. A simulation of a small DPPC vesicle reveals that curvature has the opposite effect.

1,2-Dipalmitoylphosphatidylcholine↗
PubMed2002

Inducible dimerization of FGFR1: development of a mouse model to analyze progressive transformation of the mammary gland.

To develop an inducible and progressive model of mammary gland tumorigenesis, transgenic mice were generated with a mouse mammary tumor virus-long terminal repeat-driven, conditional, fibroblast growth factor (FGF)-independent FGF receptor (FGFR)1 (iFGFR1) that can be induced to dimerize with the drug AP20187. Treatment of transgenic mice with AP20187 resulted in iFGFR1 tyrosine phosphorylation, increased proliferation, activation of mitogen-activated protein kinase and Akt, and lateral budding. Lateral buds appeared as early as 3 d after AP20187 treatment and initially consisted of bilayered epithelial cells and displayed apical and basolateral polarity appeared after 13 d of AP20187 treatment. Invasive lesions characterized by multicell-layered lateral buds, decreased myoepithelium, increased vascular branching, and loss of cell polarity were observed after 2-4 wk of treatment. These data indicate that acute iFGFR1 signaling results in increased lateral budding of the mammary ductal epithelium, and that sustained activation induces alveolar hyperplasia and invasive lesions.

Animals↗
PubMedDate not supplied

The diabetic rat as an impaired wound healing model: stimulatory effects of transforming growth factor-beta and basic fibroblast growth factor.

Two models of wound repair compared the effect of defined, recombinant growth factors on the rate of wound repair in both normal and streptozotocin-induced diabetic rats: subcutaneous implantation of polyvinyl alcohol sponges and incisional wounding. Transverse incisional wounds were made on the dorsal surface of rats and closed with steel sutures. Three days postwounding the rats received a single injection of either transforming growth factor-beta or vehicle alone directly into the wound site. Animals were sacrificed 7, 14, and 21 days postwounding, and fresh and formalin-fixed wound tensile strength were measured. Diabetic rats had expected defects in wound repair, including decreased granulation tissue and reduced amounts of collagen, protein, and DNA. Fresh tensile strength of the diabetic incisions was 53% of normal on Day 7 (p < or = .01) and 29% of normal on Day 21. Fixed tensile strength was 41% of normal on Day 7 (p < or = .01) and fell to 78% of normal by Day 21 (p < or = .01), suggesting that collagen concentrations of diabetic wounds increased towards normal but did not undergo maturation. TGF beta produced a moderate increase in tensile strength of fresh and fixed wounds of diabetic rats, but not to the levels of wounds in untreated normal rats. Sponges fill with granulation tissue, their reproducible rate of organization being measured by histological and biochemical methods. A single injection into sponges 3 days postimplantation of basic fibroblast growth factor, transforming growth factor-beta, or vehicle only, was evaluated at 7 and 9 days postimplantation. In the sponge model, bFGF and TGF beta were each able to induce significant increases in the accumulation of granulation tissue in both diabetic and normal rats. TGF beta increased the collagen content of sponges by 136% in sponges from diabetic animals (p < or = .001), thereby raising the collagen content to that of normal control wounds, while stimulating a 49% (p < or = .02) increase in sponges from normal animals on Day 9. By contrast, the response to bFGF was predominantly an increase in the protein and DNA content of the sponges. These results emphasize the differential effects of the two cytokines in accelerating healing under conditions of defective wound repair.

Animals↗
PubMed1998

The correlation of telomerase and IL-10 with leukemia transformation in a mouse model of chronic lymphocytic leukemia (CLL).

Telomerase activity is upregulated in activated and malignant lymphocytes. We studied the correlation of telomerase and IL-10 to leukemia transformation in the NZB mouse model of human chronic lymphocytic leukemia (CLL). Telomerase levels increased from early to late leukemic stages, likewise IL-10 gene expression levels increased with the leukemic progression. The inverse relationship of telomerase and IL-10 levels to the survival of NZB mice was also established. Our data suggested that telomerase and IL-10 were involved in transformation in the murine model of CLL and the detection of telomerase activities might be of value in the prediction of CLL progression.

Age Factors↗
PubMed2002

Identification of Src transformation fingerprint in human colon cancer.

We used a classical rodent model of transformation to understand the transcriptional processes, and hence the molecular and cellular events a given cell undergoes when progressing from a normal to a transformed phenotype. Src activation is evident in 80% of human colon cancer, yet the myriad of cellular processes effected at the level of gene expression has yet to be fully documented. We identified a Src 'transformation fingerprint' within the gene expression profiles of Src-transformed rat 3Y1 fibroblasts demonstrating a progression in transformation characteristics. To evaluate the role of this gene set in human cancer development and progression, we extracted the orthologous genes present on the Affymetrix Hu95A GeneChip (12k named genes) and compared expression profiles between the Src-induced rodent cell line model of transformation and staged colon tumors where Src is known to be activated. A similar gene expression pattern between the cell line model and staged colon tumors for components of the cell cycle, cytoskeletal associated proteins, transcription factors and lysosomal proteins suggests the need for co-regulation of several cellular processes in the progression of cancer. Genes not previously implicated in tumorigenesis were detected, as well as a set of 14 novel, highly conserved genes with here-to-fore unknown function. These studies define a set of transformation associated genes whose up-regulation has implications for understanding Src mediated transformation and strengthens the role of Src in the development and progression of human colon cancer. Supportive Supplemental Data can be viewed at http://pga.tigr.org/PGApubs.shtml.

Animals↗
PubMed2002

Sustained expression of thrombospondin-1 is associated with the development of glomerular and tubulointerstitial fibrosis in the remnant kidney model.

BACKGROUND/AIMS: Transforming growth factor-beta1 (TGF-beta1) has been implicated in the development of progressive nephrosclerosis in the remnant kidney model of chronic renal insufficiency. Thrombospondin-1 (TSP-1) is an extracellular matrix protein which has been recently shown to be capable of converting TGF-beta from its latent to its active form. We studied the expression of TSP-1 mRNA and protein during the development of glomerular and tubulointerstitial nephrosclerosis in the renal ablation model particularly in relation to TGF-beta1 expression. METHODS: The remnant kidney model in the rat was investigated 3 days, 1 week, 2 weeks, 3 weeks, 4 weeks, 7.5 weeks and 10 weeks after disease induction. Using single and double immunostaining techniques, renal tissues were examined for TSP-1 protein, TGF-beta1, platelet-derived growth factor BB, extracellular matrix proteins, such as collagens and fibronectin, myofibroblast formation and macrophage influx. TSP-1 mRNA expression was investigated using a radioactive in situ hybridization technique. RESULTS: De novo expression of TSP-1 mRNA and protein occurred in all glomerular cell types as well as in tubular cells, myofibroblasts and some macrophages in areas of tubulointerstitial injury. TSP-1 expression preceded and was sustained during the development of tubulointerstitial and glomerular fibrosis and was frequently localized at sites of increased expression of TGF-beta1, but not of platelet-derived growth factor BB. CONCLUSION: In the remnant kidney model, the time course and localization of TSP-1 are consistent with its playing a role as a local activator of TGF-beta1, thereby potentially participating in the development of nephrosclerosis.

Animals↗
PubMed2005

Effects of in-sewer processes: a stochastic model approach.

Transformations of organic matter, nitrogen and sulfur in sewers can be simulated taking into account the relevant transformation and transport processes. One objective of such simulation is the assessment and management of hydrogen sulfide formation and corrosion. Sulfide is formed in the biofilms and sediments of the water phase, but corrosion occurs on the moist surfaces of the sewer gas phase. Consequently, both phases and the transport of volatile substances between these phases must be included. Furthermore, wastewater composition and transformations in sewers are complex and subject to high, natural variability. This paper presents the latest developments of the WATS model concept, allowing integrated aerobic, anoxic and anaerobic simulation of the water phase and of gas phase processes. The resulting model is complex and with high parameter variability. An example applying stochastic modeling shows how this complexity and variability can be taken into account.

Aerobiosis↗
PubMed2000

Transforming growth factor alpha and mouse models of human breast cancer.

Transforming growth factor alpha (TGFalpha) is a principal molecule in the normal and neoplastic development of the mammary gland. Binding of TGFalpha to the epidermal growth factor receptor (EGFR), activates the EGFRs' endogenous tyrosine kinase activity and stimulates growth of the epithelium in the virgin and pregnant mouse mammary gland. TGFalpha expression can be detected in breast cancer cells in vivo and in vitro and overexpression can elicit partial transformation or immortalized human and rodent mammary epithelial cells. Despite evidence implicating TGFalpha in the development of mammary neoplasia, the actual mechanism of TGFalpha-induced transformation is unclear. Transgenic mouse models targeting heterologus TGFalpha to the mammary gland have established TGFalpha overexpression can induce hyperproliferation, hyperplasia and occasional carcinoma. These transgenic studies demonstrated a facilitating, proliferative role for TGFalpha in the development of neoplasia and implicated several oncogenes that can cooperate with TGFalpha to transform the mammary epithelium. From studies of EGFR signaling pathways, inhibitory and modulating agents such as anti-EGFR antibodies and specific kinases inhibitors have been used to block the action of this pathway and prevent the development of TGFalpha-induced neoplasia and tumor formation. Studies in Stat5a knockout mice have established that the JAK2/Stat5a pathway can facilitate the survival of the mammary epithelium and can impact the progression of TGFalpha-mandated mammary tumorigenesis. Together these experiments indicate that TGFalpha and the EGFR signaling pathway are potentially amenable to therapies for treatment of human breast disease.

Animals↗
PubMedDate not supplied

Modeling the effects of transforming growth factor-beta on extracellular matrix alignment in dermal wound repair.

We present a novel mathematical model for collagen deposition and alignment during dermal wound healing, focusing on the regulatory effects of transforming growth factor-beta (TGFbeta.) Our work extends a previously developed model which considers the interactions between fibroblasts and an extracellular matrix composed of collagen and a fibrin based blood clot, by allowing fibroblasts to orient the collagen matrix, and produce and degrade the extracellular matrix, while the matrix directs the fibroblasts and control their speed. Here we extend the model by allowing a time varying concentration of TGFbeta to alter the properties of the fibroblasts. Thus we are able to simulate experiments which alter the TGFbeta profile. Within this model framework we find that most of the known effects of TGFbeta, i.e., changes in cell motility, cell proliferation and collagen production, are of minor importance to matrix alignment and cannot explain the anti-scarring properties of TGFbeta. However, we find that by changing fibroblast reorientation rates, consistent with experimental evidence, the alignment of the regenerated tissue can be significantly altered. These data provide an explanation for the experimentally observed influence of TGFbeta on scarring.

Cell Movement↗
PubMed1981

Correspondences between biomathematical and causal models for clinical decision making.

Due to incompleteness and other uncertainties, biomathematical models are unsuitable for direct use in clinical decision making. In this research work, we develop a procedure to derive clinical decision-making causal models from mathematical representation. The process involves obtaining the determination ordering for an incompletely specified system of equations. The concept of determination ordering is extended to dynamic systems of equations, in order to derive clinically usable models. The procedure to transform biomathematical models into causal representation has been machine-implemented for fluid flow models of the eye. A case-structured natural language system (CHRONOS) has been developed to accept, process, and store causal as well as biomathematical models. The system obtains the determination ordering for the biomathematical models and stores their causal representation. The system has the capability to compare the causal models. The deductive capabilities of the system can be used by a clinician to consult the diagnostic reasonings of the biomathematical and causal models.

Aqueous Humor↗
PubMed1998

The comparative potency of cholesterol crystallization-effector proteins in supersaturated model bile systems: association with vesicle transformation.

Various proteins which affect cholesterol crystallization are known to be present in bile, although the relative potency of their action is yet to be established. In this study, we evaluated the comparative potency of nucleating-effector proteins using a recently developed method for quantitative assessment of vesicle transformation in supersaturated model bile systems, to partially characterize mechanisms of their action. Concanavalin A-bound glycoproteins isolated from human gall-bladder bile shortened cholesterol crystallization time by 40% and increased cholesterol growth rate and final crystal mass by 161 and 19%, respectively, when compared to the control. In addition, immunoglobulins isolated from human gall-bladder bile increased cholesterol growth rate by 9%, but showed no significant effect on cholesterol crystallization time and final crystal mass. In contrast, human serum apolipoproteins A-I and B reduced cholesterol growth rate by 26 and 31% and reduced final crystal mass by 12 and 21%, but did not affect cholesterol crystallization time. Gel permeation chromatography revealed that proteins were distributed to both vesicles and bile salt micelles, but that no marked redistribution of lipids was caused by addition of these proteins. Furthermore, no significant difference in crystal structure was observed by video-enhanced contrast microscopy. These results indicate that nucleating-effector substances tested in this study may modulate vesicular cholesterol-holding capacity, thus affecting cholesterol crystallization. Such modulation is based upon the protein-vesicle association which defines the physico-chemical metastability of vesicular cholesterol.

Analysis of Variance↗
PubMed2000

Statistical models for analysis of cytogenetic biomarkers.

BACKGROUND: Bleomycin-induced chromosomal breaks (CB) and sister chromatid exchange (SCE) in peripheral blood lymphocytes have been shown to be sensitive cytological markers for susceptibility to DNA damage in patients with various types of cancer and in healthy controls. Factors such as age, sex, smoking, and alcohol consumption could affect the values of some of these biomarkers and should be considered as covariates when analyzing cytogenetic biomarkers because these factors can affect the frequency of CB and SCE. METHODS: We propose a statistical method using negative binomial (NB) distribution to evaluate the numbers of CB and SCE. In order to determine the best model to represent the frequency of CB and SCE, we compared the NB model with the widely used Poisson model and log-transformed normal model by using generalized linear models. To demonstrate the better fit of the NB model, we analyzed three different data sets from studies conducted at The University of Texas M.D. Anderson Cancer Center. The first set was a case-control study of lung cancer in a population of African Americans and Mexican Americans (286 cases and 156 controls), the second set consisted of 311 head and neck cancer patients, and the third set consisted of 105 Hodgkin's disease patients. RESULTS: For CB; the estimates of the variability for Hodgkin's disease, head and neck, and lung cancers were 487.24, 502.82, and 520.15, respectively. For SCE, the estimates of the variability for Hodgkin's disease was 9777.01. For CB, the dispersion estimates under the three models (Poisson, NB, and Normal) for Hodgkin's disease, head and neck, and lung cancers were: 12.30, 1.20, 0.85; 8.94, 1.05, 0.22; and 10.10, 1.05, 0.25, respectively. For SCE (Hodgkin's disease only), the dispersion estimates under the three models (Poisson, NB, and Normal) were 30.91, 1.11, 0.10, respectively. CONCLUSIONS: Our results demonstrate that the NB model provides a better interpretation and fit for the frequency of CB and SCE in different cancer types. Therefore, we recommend it as a model for the analysis of cytogenetic biomarkers.

Biomarkers↗
PubMed1978

Polyoma virus, as a model for viral skin carcinogenesis.

Polyoma virus is presented as the simplest model of transformation by a DNA virus. The three possible ways of virus/cell interaction are recalled: lytic infection, abortive infection and malignant transformation. Nuclear and surface antigenic modifications are also recalled as well as their possible correlation with the transformation mechanism. Lastly, in "in vivo" systems, we have tried to schematize the interactions of host and virus-induced tumour.

Animals↗