1,352 research outputs found
Acute toxicity of mixture of sugarcane herbicides to tilapia fingerlings
Sugarcane cultivation is the most important agricultural activity in the State of São Paulo, which is responsible for over half of Brazilian production of the crop. Eutrophication and contamination of hydric resources caused by agricultural chemicals are major problems related to this crop. In the case of herbicides used to control weeds, aquatic organisms can be exposed to more than one toxic agent, and combinations of such pollutants can have different effects on biological systems. The aim of this work was to evaluate the toxic effects of mixtures of herbicides widely used in sugarcane cultivation, namely tebuthiuron (TBUT), ametryn (AMT), and Velpar K (a commercial mixture of diuron (DIU) and hexazinone (HZN)), to tilapia (Oreochromis niloticus) fingerling. The herbicides showed low to moderate toxicity and AMT was notably more toxic then TBUT and DIU+HZN. The mixtures were found to be moderately toxic to the tilapia fingerling (LC50;96h were: TBUT+AMT: 10.76 mg L-1; (DIU+HZN)+TBUT: 43.09 mg L-1; and (DIU+HZN)+TBUT+AMT: 11.90 mg L-1), and a slight antagonism was observed between the components tested. These findings could contribute to the establishment of maximum permissible levels for the herbicides in Brazilian continental water bodies
Urinary N-methylnicotinamide and β-aminoisobutyric acid predict catch-up growth in undernourished Brazilian children
Long noncoding RNAs: a missing link in osteoporosis
Osteoporosis is a systemic disease that results in loss of bone density and increased fracture risk, particularly in the vertebrae and the hip. This condition and associated morbidity and mortality increase with population ageing. Long noncoding (lnc) RNAs are transcripts longer than 200 nucleotides that are not translated into proteins, but play important regulatory roles in transcriptional and post-transcriptional regulation. Their contribution to disease onset and development is increasingly recognized. Herein, we present an integrative revision on the studies that implicate lncRNAs in osteoporosis and that support their potential use as therapeutic tools. Firstly, current evidence on lncRNAs involvement in cellular and molecular mechanisms linked to osteoporosis and its major complication, fragility fractures, is reviewed. We analyze evidence of their roles in osteogenesis, osteoclastogenesis, and bone fracture healing events from human and animal model studies. Secondly, the potential of lncRNAs alterations at genetic and transcriptomic level are discussed as osteoporosis risk factors and as new circulating biomarkers for diagnosis. Finally, we conclude debating the possibilities, persisting difficulties, and future prospects of using lncRNAs in the treatment of osteoporosis.This project has been supported by Portuguese funds through FCT—Fundação para a Ciência e a Tecnologia/Ministério da Ciência, Tecnologia e Ensino Superior in the framework of the project POCI-01-0145-FEDER-031402—R2Bone, under the PORTUGAL 2020 Partnership Agreement, through ERDF. Authors would like to thank to FCT DL 57/2016/CP1360/CT0008 (M.I.A.) and SFRH/BD/112832/2015 (J.H.T)
Functional characterization of 8-oxoguanine DNA glycosylase of Trypanosoma cruzi
The oxidative lesion 8-oxoguanine (8-oxoG) is removed during base excision repair by the 8-oxoguanine DNA glycosylase 1 (Ogg1). This lesion can erroneously pair with adenine, and the excision of this damaged base by Ogg1 enables the insertion of a guanine and prevents DNA mutation. In this report, we identified and characterized Ogg1 from the protozoan parasite Trypanosoma cruzi (TcOgg1), the causative agent of Chagas disease. Like most living organisms, T. cruzi is susceptible to oxidative stress, hence DNA repair is essential for its survival and improvement of infection. We verified that the TcOGG1 gene encodes an 8-oxoG DNA glycosylase by complementing an Ogg1-defective Saccharomyces cerevisiae strain. Heterologous expression of TcOGG1 reestablished the mutation frequency of the yeast mutant ogg1-/- (CD138) to wild type levels. We also demonstrate that the overexpression of TcOGG1 increases T. cruzi sensitivity to hydrogen peroxide (H2O2). Analysis of DNA lesions using quantitative PCR suggests that the increased susceptibility to H2O2 of TcOGG1-overexpressor could be a consequence of uncoupled BER in abasic sites and/or strand breaks generated after TcOgg1 removes 8-oxoG, which are not rapidly repaired by the subsequent BER enzymes. This hypothesis is supported by the observation that TcOGG1-overexpressors have reduced levels of 8-oxoG both in the nucleus and in the parasite mitochondrion. The localization of TcOgg1 was examined in parasite transfected with a TcOgg1-GFP fusion, which confirmed that this enzyme is in both organelles. Taken together, our data indicate that T. cruzi has a functional Ogg1 ortholog that participates in nuclear and mitochondrial BER. © 2012 Furtado et al
Machine learning enabled Raman amplifiers
Ultra-wideband (UWB) optical communication systems, envision to operate in O+E+S+C+l band, are a viable solution to cope with the network’s exponential traffic growth [1] . One of the main challenges to provide beyond C-band transmission is a lack of optical amplifiers. Since the erbium-doped fiber amplifiers (EDFAs) are limited to C and L bands only, new technologies will have to be explored to cover the remaining bands. Some examples of amplifiers able to provide amplification beyond C–band are: bismuth doped fibre amplifiers (BDFA) [2] , semiconductor optical amplifiers, (SOAs) [3] and Raman amplifiers (RAs) [4] . Compared to the solutions based on BDFA and SOA, optical amplifiers based RAs offer a higher degree of commercial maturity [5] . Most importantly, RA amplifiers can provide gain in any band provided a proper allocation of pump powers and wavelength
Tissue Localization and Extracellular Matrix Degradation by PI, PII and PIII Snake Venom Metalloproteinases: Clues on the Mechanisms of Venom-Induced Hemorrhage
20 páginas, 4 figuras, 3 tablas y 7 tablas en material suplementario.Snake venom hemorrhagic metalloproteinases (SVMPs) of the PI, PII and PIII classes were compared in terms of tissue localization and their ability to hydrolyze basement membrane components in vivo, as well as by a proteomics analysis of exudates collected in tissue injected with these enzymes. Immunohistochemical analyses of co-localization of these SVMPs with type IV collagen revealed that PII and PIII enzymes co-localized with type IV collagen in capillaries, arterioles and post-capillary venules to a higher extent than PI SVMP, which showed a more widespread distribution in the tissue. The patterns of hydrolysis by these three SVMPs of laminin, type VI collagen and nidogen in vivo greatly differ, whereas the three enzymes showed a similar pattern of degradation of type IV collagen, supporting the concept that hydrolysis of this component is critical for the destabilization of microvessel structure leading to hemorrhage. Proteomic analysis of wound exudate revealed similarities and differences between the action of the three SVMPs. Higher extent of proteolysis was observed for the PI enzyme regarding several extracellular matrix components and fibrinogen, whereas exudates from mice injected with PII and PIII SVMPs had higher amounts of some intracellular proteins. Our results provide novel clues for understanding the mechanisms by which SVMPs induce damage to the microvasculature and generate hemorrhage.This work was performed in partial fulfillment of the requirements for the PhD degree for Cristina Herrera at Universidad de Costa Rica.Peer reviewe
Oxidative Stress, DNA, Cell Cycle/Cell Cycle Associated Proteins and Multidrug Resistance Proteins: Targets of Human Amniotic Membrane in Hepatocellular Carcinoma
The anticancer effects of human amniotic membrane (hAM) have been studied over the last decade. However, the action mechanisms responsible for these effects are not fully understood until now. Previously results reported by our team proved that hAM is able to induce cytotoxicity and cell death in hepatocellular carcinoma (HCC), a worldwide high incident and mortal cancer. Therefore, this experimental study aimed to investigate the cellular targets of hAM protein extracts (hAMPE) in HCC through in vitro studies. Our results showed that hAMPE is able to modify oxidative stress environment in all HCC cell lines, as well as its cell cycle. hAMPE differently targets deoxyribonucleic acid (DNA), P21, P53, β-catenin and multidrug resistance (MDR) proteins in HCC cell lines. In conclusion, hAMPE has several targets in HCC, being clear that the success of this treatment depends of a personalized therapy based on the biological and genetic characteristics of the tumor
sCompile: Critical path identification and analysis for smart contracts
Ethereum smart contracts are an innovation built on top of the blockchain
technology, which provides a platform for automatically executing contracts in
an anonymous, distributed, and trusted way. The problem is magnified by the
fact that smart contracts, unlike ordinary programs, cannot be patched easily
once deployed. It is important for smart contracts to be checked against
potential vulnerabilities. In this work, we propose an alternative approach to
automatically identify critical program paths (with multiple function calls
including inter-contract function calls) in a smart contract, rank the paths
according to their criticalness, discard them if they are infeasible or
otherwise present them with user friendly warnings for user inspection. We
identify paths which involve monetary transaction as critical paths, and
prioritize those which potentially violate important properties. For
scalability, symbolic execution techniques are only applied to top ranked
critical paths. Our approach has been implemented in a tool called sCompile,
which has been applied to 36,099 smart contracts. The experiment results show
that sCompile is efficient, i.e., 5 seconds on average for one smart contract.
Furthermore, we show that many known vulnerabilities can be captured if user
inspects as few as 10 program paths generated by sCompile. Lastly, sCompile
discovered 224 unknown vulnerabilities with a false positive rate of 15.4%
before user inspection.Comment: Accepted by ICFEM 201
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