52 research outputs found
Zika virus impairs the development of blood vessels in a mouse model of congenital infection
Zika virus (ZIKV) is associated with brain development abnormalities such as primary microcephaly, a severe reduction in brain growth. Here we demonstrated in vivo the impact of congenital ZIKV infection in blood vessel development, a crucial step in organogenesis. ZIKV was injected intravenously in the pregnant type 2 interferon (IFN)-deficient mouse at embryonic day (E) 12.5. The embryos were collected at E15.5 and postnatal day (P)2. Immunohistochemistry for cortical progenitors and neuronal markers at E15.5 showed the reduction of both populations as a result of ZIKV infection. Using confocal 3D imaging, we found that ZIKV infected brain sections displayed a reduction in the vasculature density and vessel branching compared to mocks at E15.5; altogether, cortical vessels presented a comparatively immature pattern in the infected tissue. These impaired vascular patterns were also apparent in the placenta and retina. Moreover, proteomic analysis has shown that angiogenesis proteins are deregulated in the infected brains compared to controls. At P2, the cortical size and brain weight were reduced in comparison to mock-infected animals. In sum, our results indicate that ZIKV impairs angiogenesis in addition to neurogenesis during development. The vasculature defects represent a limitation for general brain growth but also could regulate neurogenesis directly
Utilization of Renewable Biomass and Waste Materials for Production of Environmentally-Friendly, Bio-based Composites
The introduction of renewable biomass into a polymer matrix is an option competing with other
possibilities, such as energy recovery and/or re-use in the carbonized state, or production of
chemicals, such as, in the case of ligno-cellulosic waste, concentrates on the production of simple
sugars, then possibly leading to the development of biopolymers. These competitive applications
have also some interest and market, however with a considerable energy, water and materials
consumption, due also to the not always high yielding. Other possibilities for renewable biomass are
therefore being used as fillers to increase mechanical performance of polymers or to allow e.g., the
absorption of toxic chemicals. This review concentrates on the use of biomass as close as possible
to the “as received” state, therefore avoiding whenever suitable any thermal treatment. More
specifically, it focuses on its introduction into the three categories of oil-based (or bio-based
replacement) of engineered polymers, into industrial biopolymers, such as poly(lactic acid) (PLA)
and self-developed biopolymers, such as thermoplastic starch (TPS)
Differential cell line susceptibility to the emerging Zika virus: implications for disease pathogenesis, non-vector-borne human transmission and animal reservoirs
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Bioinformatic analysis reveals the expression of unique transcriptomic signatures in Zika virus infected human neural stem cells
BACKGROUND: The single-stranded RNA Flavivirus, Zika virus (ZIKV), has recently re-emerged and spread rapidly across the western hemisphere’s equatorial countries, primarily through Aedes mosquito transmission. While symptoms in adult infections appear to be self-limiting and mild, severe birth defects, such as microcephaly, have been linked to infection during early pregnancy. Recently, Tang et al. (Cell Stem Cell 2016, doi: 10.1016/j.stem.2016.02.016) demonstrated that ZIKV efficiently infects induced pluripotent stem cell (iPSC) derived human neural progenitor cells (hNPCs), resulting in cell cycle abnormalities and apoptosis. Consequently, hNPCs are a suggested ZIKV target. METHODS: We analyzed the transcriptomic sequencing (RNA-seq) data (GEO: GSE78711) of ZIKV (Strain: MR766) infected hNPCs. For comparison to the ZIKV-infected hNPCs, the expression data from hNPCs infected with human cytomegalovirus (CMV) (Strain: AD169) was used (GEO: GSE35295). Utilizing a combination of Gene Ontology, database of human diseases, and pathway analysis, we generated a putative systemic model of infection supported by known molecular pathways of other highly related viruses. RESULTS: We analyzed RNA-sequencing data for transcript expression alterations in ZIKV-infected hNPCs, and then compared them to expression patterns of iPSC-derived hNPCs infected with CMV, a virus that can also induce severe congenital neurological defects in developing fetuses. We demonstrate for the first time that many of cellular pathways correlate with clinical pathologies following ZIKV infection such as microcephaly, congenital nervous system disorders and epilepsy. Furthermore, ZIKV activates several inflammatory signals within infected hNPCs that are implicated in innate and acquired immune responses, while CMV-infected hNPCs showed limited representation of these pathways. Moreover, several genes related to pathogen responses are significantly upregulated upon ZIKV infection, but not perturbed in CMV-infected hNPCs. CONCLUSION: The presented study is the first to report enrichment of numerous pro-inflammatory pathways in ZIKV-infected hNPCs, indicating that hNPCs are capable of signaling through canonical pro-inflammatory pathways following viral infection. By defining gene expression profiles, new factors in the pathogenesis of ZIKV were identified which could help develop new therapeutic strategies
Conditional Reasoning and Relevance
The paper concerns conditional reasoning and, in particular, the case, where the antecedent of a conditional is true butits consequent is unknown. We pursue the idea to apply abduction in order to find an explanation for the consequent.If such an explanation can be abduced then new conditionals can be generated which are known to be true. This leadsto two problems, viz. that a consequent should not abduce itself and that the antecedent should be strongly relevant tothe consequent of a conditional. Both problems are solved within the Weak Completion Semantics, a new, computational,multi-valued, and non-monotonic logic paradigm which has already been successfully applied to different human reasoningproblems including the suppression and the selection task. The notion of strong relevance developed in the paper is withrespect to the models of a logic program representing the background knowledge of a human reasoning episode and, thus,deviates from the mostly proof theoretic definitions of relevancy in relevance theory
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