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Diffusion of innovations and network segmentation: the part played by people in promoting health.

OBJECTIVE: The objective of this study was to describe how diffusion of innovations theory can integrate mass media, interpersonal communication, and social network analysis. These principles can be used to implement and tailor data-based health promotion activities. GOAL: The goal of this study was to develop a model for using and incorporating interpersonal communication into health promotion programs designed to encourage behaviors that reduce the spread of sexually transmitted diseases (STDs)/HIV. STUDY DESIGN: The authors conducted a review of selected studies that exemplify how diffusion of innovations theory has applied interpersonal communication to promote STD/HIV preventive health behaviors. RESULTS: Few studies have incorporated interpersonal communication as an intervention strategy to encourage STD/HIV preventive behavior. Interventions that have used interpersonal communication have observed successes in health promotion and increases in safer sex behaviors. CONCLUSIONS: This study shows that social network analysis can be used to design more appropriate and perhaps more effective health promotion programs.

Communication↗

Mitochondrial DNA diversity in the Llanos de Moxos: Moxo, Movima and Yuracare Amerindian populations from Bolivia lowlands.

BACKGROUND: Movima, Yuracare, Ignaciano and Trinitario are Amerindian populations living in the Bolivian lowlands of the Amazonian basin. The cultural and genetic affinity of the peoples living in this area is poorly known, despite many archaeological studies demonstrating its importance in pre-Columbian times. Densely populated Amerindian groups occupied the region, both in the Llanos and along the river streams of the Amazonian basin, practising intense agricultural activities and exchange of goods. The historical and linguistic records indicate that the land was occupied through successive migrations that gave rise to complex socio-economic communities. Genetic information suggests that the colonization of the American continent was fairly simple from a emigrational point of view, but other evolutionary processes, such as genetic drift or natural selection, could have also shaped the genetic background of present day populations in the Beni region. AIM: The objective of this study is to characterize the genetic diversity of these populations by analysing the sequence variability of the HVR-I control region in the mitochondrial DNA (mtDNA). The Amerindian origin of these populations suggests that close genetic similarities should be evident between the Beni samples studied here and other Amerindian groups. However, complex processes of population interactions and/or isolation in the Beni region might result in non-expected genetic affinities. SUBJECTS AND METHODS: DNA was extracted from pulled-out hairs obtained in situ from non-closely related individuals living in the Beni Department in Bolivia. DNA was extracted using a standard Chelex 100 method and a 401 bp DNA fragment of the HVR-I region was amplified using specific primers (L-15978 and H-16412). DNA amplicons were purified by centrifugation using Microspin S-300 HR columns and both SNA strands were sequenced after asymmetric PCR using direct Dye-Terminator 2 sequencing kit (Perkin-Elmer). Two independent 401 and 328 bp DNA fragments were sequenced separately for each sample. The sequence analyses includes mismatch distributions and mean pairwise differences, median network analysis, and neighbour joining, maximum likelihood phylogenetic comparisons. Genetic diversity of DNA sequences was also measured in various ways for the sample studied and UPGMA trees were drawn, including a large number of South Amerindian sequences. RESULTS: The genetic diversity of 401 nucleotide long mtDNA sequences in the hypervariable control region, from positions 16,000-16,400, was characterized in a sample of 54 Amerindians living in the Llanos de Moxos. A total of 34 distinct lineages were observed, defined by 41 variable nucleotide positions, and 70.6% of all lineages were single sequences. All four major Amerindian haplogroups were detected (A 18.5%, n=10; B 24.1%, n=13, C 50.0% n=27; and D 5.6%, n=3). The median network analysis observed suggests that processes of population expansion took place in the Beni region. However, no clear haplotype differentiation by population could be detected. High levels of molecular variability and a bimodal pair-wise mismatch distribution were seen within the sample. The analyses of molecular variance (AMOVA) showed that most of the variance observed was due to intrapopulation variability, and that the highest among-groups variance was obtained when a linguistic classification criteria was used. The phylogenetic comparison revealed unique lineages in the Beni areas, not reported for other Amerindian populations. CONCLUSIONS: The genetic diversity observed in the Beni area is higher than that observed in other American populations living in much larger areas and with a long, known evolutionary history, despite the reduced area of Moxos. This could result from processes of reproductive isolation between groups, followed by population expansions and migration, where genetic drift might have be a major evolutionary force in population differentiation.

Bolivia↗

Exploring the therapeutic potential of extract in targeting localized adiposity.

OBJECTIVE: To determine direct targeting of localized adiposity through Morus alba Linne bark injection based on pharmacology network analysis. METHODS: Male C57BL/6J mice were fed a high-fat diet (HFD) to induce obesity. After 6 weeks on HFD, the water extract of Morus alba L.bark (MAB, 2 mg/mL) was locally injected into one inguinal fat pad, while saline was injected into the other side, 3 times/week for 6 weeks (n = 6/group). The water extract of MAB was freeze-dried and then diluted in saline before use. RESULTS: HFD-fed mice treated with local MAB topical injection showed reduced adipocyte weight and size in inguinal fat pads by dual-energy X-ray absorptiometry. No toxicity changes seen in liver, spleen, kidney tissue, or alanine aminotransferase / aspartate aminotransferase levels in serum by MAB injection. Protein levels of phosphorylated insulin receptor substrate-1 and glucose transporter type 4, and mRNA expression of adiponectin, were increased in inguinal adipose tissue injected with MAB locally. Locally MAB injection led to a decrease in glucose-6-phosphatase and phosphoenolpyruvate carboxykinase, linked to gluconeogenesis, while forkhead box protein O1, which regulates these factors, was increased. Moreover, there was an increase in adenosine 5'-monophosphate-activated protein kinase, related to lipogenesis, as well as elevated levels of hormone-sensitive lipase and fatty acid synthase, both associated with lipolysis. These results support the 'insulin signaling pathway' and 'regulation of lipolysis in adipocytes' identified in the Kyoto Encyclopedia of Genes and Genomes pathway through network analysis. CONCLUSION: This study suggests that MAB topical injection exhibits localized fat reduction by inhibiting insulin resistance, gluconeogenesis and lipogenesis mediator, while activating lipolysis enzymes within targeted adipose site.

Animals↗

The influence of governmental policy on community health partnerships and community care networks: an analysis of three cases.

This is a comparative analysis of hospitals' efforts in three communities to pursue collaborative ventures to advance community health. The events occurred over a two-year period characterized by increasing market competition and national debate about comprehensive health care financing reform. The study objectives are to better understand factors that contributed to the initiation of the collaborative efforts, and factors that sustained, hindered, or thwarted these efforts. The study explores how the collaborative ventures in these three communities fared in the face of multiple and conflicting policies and the simultaneous creation of larger, competing health systems. A number of concluding generalizations address the impact of interorganizational dynamics and public policy initiatives on community health partnerships.

Community Health Planning↗

Metabolite composition in breast tumors examined by proton nuclear magnetic resonance spectroscopy.

BACKGROUND: In vivo characterisation of breast tumors using protein (1H) MR spectroscopy relies upon in vitro interpretation of tissue samples. The present study has investigated metabolite composition in extracts from breast tumors and non-involved breast tissue. Multivariate data analysis was used to determinate combinations of metabolites important for differentiation. MATERIALS AND METHODS: Tumor and non-involved breast tissue were obtained from 16 patients undergoing surgical treatment. 1H NMR spectra of perchloric acid tissue extracts were obtained at a BRUKER Avance DRX600 spectrometer. The data was analysed using principal component analysis and probabilistic neural networks. RESULTS: Low levels of glucose and high content of choline compounds were dominant findings in the tumor spectra. Principal component loadings demonstrated this strong association. The spectra were correctly classified using neural network analysis. CONCLUSIONS: Large differences in the metabolite composition of breast tumors and surrounding breast tissues have been documented.

Adult↗

NetWork: an interactive interface to the tools for analysis of genetic network structure and dynamics.

We designed a Java applet called NetWork which enables a user to interactively construct and visualize a genetic network of interest, and to and to evaluate and explore its dynamics in the framework of a Boolean network model. NetWork displays the mechanism of gene interactions at the level of gene expression and enables the visualization of large genetic networks. NetWork can serve as an interactive interface to tools for the analysis of genetic network structure and behavior.

Algorithms↗

Fine-Scale Landscape Genomics Show Asymmetric Patterns of Gene Flow for the Invasive Mosquito Aedes albopictus.

Mosquito-borne viruses like dengue, Zika, and chikungunya pose increasing health risks in the United States due to the expanding range of Aedes albopictus, a highly invasive mosquito species that now has a global distribution. Aedes albopictus thrive in artificial containers associated with anthropogenic land use, allowing populations to reach high numbers in urban and suburban environments. While the global spread of Ae. albopictus has been well characterized, the effects of heterogeneous urban landscapes on dispersal and gene flow at fine spatial scales remain unclear. This study analyzed the genetic connectivity of Aedes albopictus populations collected in Wake County, North Carolina in 2018. We used single nucleotide polymorphisms (SNP) data from double-digest restriction-enzyme associated DNA sequencing (ddRADseq) and examined genetic connectivity through principal component analysis (PCA) and genetic network analysis. We then evaluated migration and source-sink dynamics using a Bayesian approach for SNP data (BA3-SNP). We found little evidence of genetic clustering or isolated populations of Ae. albopictus in Wake County, suggesting high gene flow between sites. Migration analysis demonstrated asymmetric gene flow from rural to urban regions within Wake County, with greater gene flow occurring between and within urban regions. These findings suggest that the pattern of gene flow of Ae. albopictus populations within local metropolitan areas may involve urban city centers serving as genetic sinks and surrounding suburban and rural regions serving as sources. This study highlights how heterogeneous landscapes shape mosquito population connectivity and migration at fine spatial scales, which is critical for informing vector control and public health intervention strategies.

Aedes albopictus↗

Mathematical analysis of network topology in the cerebrocortical microvasculature.

The three-dimensional branching pattern of deep cerebrocortical capillary networks was reconstructed from histological sections. The distribution of blood flow in a mathematical model of the reconstructed network was calculated. The transit of red blood cells through the network was simulated by computer, and the total path length traveled by the cells was estimated. The results support both anatomical and hemodynamic heterogeneity of the cerebrocortical microvascular system.

Animals↗

Mutation in autocatalytic reaction networks. An analysis based on perturbation theory.

A class of kinetic equations describing catalysed and template induced replication, and mutation is introduced. This ODE in its most general form is split into two vector fields, a replication and a mutation field. The mutation field is considered as a perturbation of the replicator equation. The perturbation expansion is a Taylor series in a mutation parameter lambda. First, second and higher order contributions are computed by means of the conventional Rayleigh-Schrödinger approach. Qualitative shift in the positions of rest points and limit cycles on the boundary of the physically meaningful part of concentration space are predicted from flow topologies. The results of the topological analysis are summarized in two theorems which turned out to be useful in applications: the rest point migration theorem (RPM) and the limit cycle migration theorem (LCM). Quantitative expressions for the shifts of rest points are computed directly from the perturbation expansion. The concept is applied to a collection of selected examples from biophysical chemistry and biology.

Catalysis↗

Integrative analysis of the roles and prognostic value of RNA-binding proteins in papillary renal cell carcinoma.

RNA-binding proteins (RBPs) serve essential roles in various cancer types, but their functions in papillary renal cell carcinoma (pRCC) have not been elucidated to date. In our work, differentially expressed RBPs in pRCC were identified after acquisition of RNA-sequencing and clinical data related to pRCC from The Cancer Genome Atlas database(TCGA). Functional enrichment analysis and protein interaction network analysis, along with univariate and multivariate Cox regression analyses, were performed to uncover potential biological effects of the identified RBPs and screen the hub RBPs for pRCC prognosis. We identified 251 up-regulated and 129 down-regulated RBPs, and filtered out seven hub RBPs, namely, SRSF8, CD3EAP, HBS1L, ELAC2, MRPL34, NOP2 and IGF2BP2, for their prognostic relevance. A prognostic risk score model for overall survival of pRCC patients was constructed based on the seven hub RBPs. Further analysis showed that the low-risk group had higher survival rate than the high-risk group in both training and validation cohorts. The predictive accuracy was verified in the Human Protein Atlas database.In addition, we introduced the GSE15641 dataset from the Gene Expression Omnibus (GEO) database for independent external validation, and confirmed the expression levels of HBS1L, MRPL34 and IGF2BP2 through real-time quantitative PCR (RT-qPCR) and Western blotting (WB) using human renal tubular epithelial cell line HK-2 and human papillary renal cell carcinoma cell line Caki-2. In pRCC, CD3EAP was significantly elevated, while ELAC2, IGF2BP2, MRPL34, SRSF8 and HBS1L were significantly reduced. There was no significant difference between tumor and normal tissues in NOP2 expression. Risk score and tumor grade were independent prognostic factors associated with overall survival. In addition, we established a nomogram based on the seven prognostic RBPs to help predict overall survival at 1-3 years. In conclusion, seven differentially expressed hub RBPs were identified as potential prognostic biomarkers for pRCC. Our prognostic model might serve as a support for better treatment decision-making. Our work could provide potential new ideas for diagnosis and research on targeted drugs for pRCC.

Bioinformatics↗

Analysis of network flow distribution: computational aid to minimize experimental expenditure.

Several problems in microvascular research, e.g., total blood flow and red cell flux distribution, can only be solved by evaluating the flow distribution to all branches of microvessel networks. We present a method to obtain values of volumetric blood flow and red cell flux in individual networks by taking measurements in an adequately chosen number of the vessels (50-33%) in the network. Actual measurements are not mandatory in all vessels because in a major part of them computational quantification of flows and fluxes is possible. The proposed method consists of a procedure to document in matrix form the connections of a network found in a preparation. By appropriate mathematical manipulations of the matrix, a preselection of measuring sites within the network can be achieved. From the flow values in these sites the remaining vessel flows can be calculated by utilizing the law of mass conservation in all branching points and confluxes. The worst case error of the procedure can be calculated from the errors of the single measurements. The method can also be applied, whenever, for experimental reasons (e.g., poor microscopic focus, flow too rapid or too slow), certain branches do not lend themselves for measurement. A BASIC program can be made available upon request, which carries out all calculations necessary for an appropriate selection in such a short time (about 1 min) so that it can easily be performed before the start of data acquisition.

Animals↗

Mathematical modelling of the enteric nervous network. 4. Analysis of adrenergic transmission.

Based on the model of the adrenergic neurone proposed earlier, the dynamics of nerve-pulse transmission after treatment with inhibitors of neuronal uptake and catechol-O-methyltransferase, alpha 1-adrenoceptor antagonists, changes in the concentration of Ca2+ ions in the external medium, the action of tetrodotoxin (TTX) and repetitive stimulation, are analysed. The results of numerical simulation show that: the addition of drugs that inhibit neuronal uptake and catechol-O-methyltransferase cause the augmentation of noradrenaline action on post-synaptic structures and an increase in the amplitude of the generated inhibitory post-synaptic potential (IPSP); treatment with adrenergic antagonists reduces the amplitude of IPSP; decrease in the concentration of extracellular Ca2+ ions and application of TTX abolish the post-synaptic response. All these effects are shown to be dose-dependent. The repetitive stimulation of the neurone reproduces the effects of accumulation and potentiation. Possible applications of the results obtained are discussed.

Adrenergic alpha-Antagonists↗

On the piecewise analysis of networks of linear threshold neurons.

The computational abilities of recurrent networks of neurons with a linear activation function above threshold are analyzed. These networks selectively realise a linear mapping of their input. Using this property, the dynamics as well as the number and the stability of stationary states can be investigated. The important property of the boundedness of neural activities can be guaranteed by global inhibition. If used together with self-excitation, the global inhibition gives rise to a multi stable winner-take-all (WTA) mechanism. A condition for a neuron to be a potential winner of the competing dynamics is derived. The network becomes a largest input selector when the self-excitation is marginal.Slowing down the global inhibition produces oscillations. The study of oscillations of random networks suggests that all cyclic trajectories of linear threshold networks are a result of the existence of partitions with undamped linear oscillations. Chaotic dynamics were never encountered in computer simulations and perhaps do not exist at all in small networks.

Journal Article↗

An empirical assessment of rural community support networks for individuals with severe mental disorders.

The community support network has been well-established as a requirement for community treatment of individuals with severe mental disorders. This network generally consists of a multidisciplinary set of organizations that interrelate in some manner with individuals in the community. The question of coordination within this network has been much discussed; however little published research has empirically examined the types and extent of coordination among network organizations. In particular, little attention has been given to community support networks in rural communities. In each of seven rural counties, information was obtained on inter-actions among organizations in the community support network. These networks were analyzed to yield information on network density and centralization. Using measures of centrality, the most central organizations in each network were identified. Exchanges of information were the most common type of interaction among organizations in each network. Client referrals occurred less frequently, and sharing of resources was an even rarer phenomenon. Network analysis of community support networks provides an objective perspective on the structure of community support networks. An understanding of exchange among organizations within these networks is of value to administrators, clinicians, and planners interested in achieving greater effectiveness, as well as to patients, their families, and advocacy groups concerned with access and quality of care.

Catchment Area, Health↗

Statistical analysis of network traffic for adaptive faults detection.

This paper addresses the problem of normal operation baselining for automatic detection of network anomalies. A model of network traffic is presented in which studied variables are viewed as sampled from a finite mixture model. Based on the stochastic approximation of the maximum likelihood function, we propose baselining network normal operation, using the asymptotic distribution of the difference between successive estimates of model parameters. The baseline random variable is shown to be stationary, with mean zero under normal operation. Anomalous events are shown to induce an abrupt jump in the mean. Detection is formulated as an online change point problem, where the task is to process the baseline random variable realizations, sequentially, and raise alarms as soon as anomalies occur. An analytical expression of false alarm rate allows us to choose the design threshold, automatically. Extensive experimental results on a real network showed that our monitoring agent is able to detect unusual changes in the characteristics of network traffic, adapt to diurnal traffic patterns, while maintaining a low alarm rate. Despite large fluctuations in network traffic, this work proves that tailoring traffic modeling to specific goals can be efficiently achieved.

Algorithms↗

Analysis of networks based on styrene and divinylbenzene containing iron anchored using variable pressure scanning electron microscopy.

There is great demand for the development of composite materials containing small metal or metal oxides particles, owing to their variable properties and wide application. However, microscopic evaluation of these materials using high-vacuum scanning electron microscopy is difficult because the samples must undergo a series of preparation steps to reach a high image quality and to avoid becoming shrunk inside the microscope vacuum chamber. Thus, in this study, we used variable pressure scanning electron microscopy to evaluate the morphology and iron distribution on the surface of magnetic microspheres based on poly(styrene-co-divinylbenzene). These materials were obtained by suspension copolymerization of styrene and divinylbenzene in the presence of fine iron particles. Energy-dispersive X-rays were also used to analyse distribution of the iron particles. The results indicate that, under the conditions used, magnetic microspheres with a relatively narrow size distribution were formed. Moreover, the micrographs show that agglomerated iron particles appeared only on the microsphere surface.

Journal Article↗

Application of bioinformatics for DNA microarray data to bioscience, bioengineering and medical fields.

In the 1990s, DNA microarray or DNA chip as a novel biological experimental technology was developed, which enables the comprehensive measurement of the expression levels of hundreds of genes, simultaneously. Using this technique, a comprehensive understanding of the cell can be achieved. However, because even simple life forms, such as microorganisms, have more than a thousand kinds of genes, the data from a DNA chip cannot be analyzed without statistical and informational technology. Bioinformatics is the interdisciplinary research field integrating molecular biology with informatics, and it is expected to have a huge impact on the bioscientific, bioengineering and medical fields. There are many techniques in bioinformatics for the analysis of DNA microarray data; however, these are mainly divided into fold-change analysis, clustering, classification, genetic network analysis, and simulation. In this review, these techniques are briefly explained by using some examples.

Animals↗