20 research outputs found

    MicroRNA-134 as a potential plasma biomarker for the diagnosis of acute pulmonary embolism

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    <p>Abstract</p> <p>Background</p> <p>Acute pulmonary embolism (APE) remains a diagnostic challenge due to a variable clinical presentation and the lack of a reliable screening tool. MicroRNAs (miRNAs) regulate gene expression in a wide range of pathophysiologic processes. Circulating miRNAs are emerging biomarkers in heart failure, type 2 diabetes and other disease states; however, using plasma miRNAs as biomarkers for the diagnosis of APE is still unknown.</p> <p>Methods</p> <p>Thirty-two APE patients, 32 healthy controls, and 22 non-APE patients (reported dyspnea, chest pain, or cough) were enrolled in this study. The TaqMan miRNA microarray was used to identify dysregulated miRNAs in the plasma of APE patients. The TaqMan-based miRNA quantitative real-time reverse transcription polymerase chain reactions were used to validate the dysregulated miRNAs. The receiver-operator characteristic (ROC) curve analysis was conducted to evaluate the diagnostic accuracy of the miRNA identified as the candidate biomarker.</p> <p>Results</p> <p>Plasma miRNA-134 (miR-134) level was significantly higher in the APE patients than in the healthy controls or non-APE patients. The ROC curve showed that plasma miR-134 was a specific diagnostic predictor of APE with an area under the curve of 0.833 (95% confidence interval, 0.737 to 0.929; P < 0.001).</p> <p>Conclusions</p> <p>Our findings indicated that plasma miR-134 could be an important biomarker for the diagnosis of APE. Because of this finding, large-scale investigations are urgently needed to pave the way from basic research to clinical utilization.</p

    Study on diversity, nitrogen-fixing capacity, and heavy metal tolerance of culturable Pongamia pinnata rhizobia in the vanadium-titanium magnetite tailings

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    IntroductionThe diversity, nitrogen-fixing capacity and heavy metal tolerance of culturable rhizobia in symbiotic relationship with Pongamia pinnata surviving in vanadium (V) - titanium (Ti) magnetite (VTM) tailings is still unknown, and the rhizobia isolates from the extreme barren VTM tailings contaminated with a variety of metals would provide available rhizobia resources for bioremediation.MethodsP. pinnata plants were cultivated in pots containing the VTM tailings until root nodules formed, and then culturable rhizobia were isolated from root nodules. The diversity, nitrogen-fixing capacity and heavy metal tolerance of rhizobia were performed.ResultsAmong 57 rhizobia isolated from these nodules, only twenty strains showed different levels of tolerance to copper (Cu), nickel (Ni), manganese (Mn) and zinc (Zn), especially strains PP1 and PP76 showing high tolerance against these four heavy metals. Based on the phylogenetic analysis of 16S rRNA and four house-keeping genes (atpD, recA, rpoB, glnII), twelve isolates were identified as Bradyrhizobium pachyrhizi, four as Ochrobactrum anthropic, three as Rhizobium selenitireducens and one as Rhizobium pisi. Some rhizobia isolates showed a high nitrogen-fixing capacity and promoted P. pinnata growth by increasing nitrogen content by 10%-145% in aboveground plant part and 13%-79% in the root. R. pachyrhizi PP1 showed the strongest capacity of nitrogen fixation, plant growth promotion and resistance to heavy metals, which provided effective rhizobia strains for bioremediation of VTM tailings or other contaminated soils. This study demonstrated that there are at least three genera of culturable rhizobia in symbiosis with P. pinnata in VTM tailings.DiscussionAbundant culturable rhizobia with the capacity of nitrogen fixation, plant growth promotion and resistance to heavy metals survived in VTM tailings, indicating more valuable functional microbes could be isolated from extreme soil environments such as VTM tailings

    Progression of pathology in PINK1-deficient mouse brain from splicing via ubiquitination, ER stress, and mitophagy changes to neuroinflammation

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    The Development and Application of Numerical Packages Based on NetSolve

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    Abstract. NetSolve is a kind of grid middleware used for high performance compute. In this article, the architecture and operational principle of NetSolve are first analyzed. This paper mainly discusses the implementation of the server with several numerical packages and numerical experiment is given. At last, we point out the limitations of the Netsolve.

    HO-1 attenuates testicular ischaemia/reperfusion injury by activating the phosphorylated C-jun-miR-221/222-TOX pathway

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    Aims: Heme oxygenase (HO-1) affords protection against ischaemia/reperfusion (I/R) injury; however, its effects on testicular I/R injury remain poorly explored. Herein, we aimed to examine the effects of HO-1 on testicular I/R injury and elucidate the underlying mechanism. Methods: Using the TALEN technique, we knocked out the HO-1 gene from rats. In vivo: Thirty hmox+/+ and 30 hmox−/− rats were randomly assigned to six groups: sham-operated (sham), I/R (the left testicle torsion/detorsion) 0 d,I/R 1d, I/R 3d, I/R 7d and I/R 28d. In vitro: GC-1 were suffered from: control,H/R (oxygen-deprivation/reoxygenation),H/R + HO-1 siRNA,H/R + c-Jun siRNA or H/R + HO-1 siRNA + c-jun.We performed immunofluorescence and immunohistochemistry experiments to detect HO-1 nuclear translocation. Flow cytometry was used to detect cell apoptosis and analyse the cell cycle. High-resolution miRNA, mRNA sequencing, reverse transcription-quantitative PCR, and western blotting were performed to identify testicular I/R injury-related genes strongly conserved in HO-1 knockout rats. A double luciferase reporter assay was performed to verify the relationship between C-jun and miR-221/222. Main findings: In vivo, HO-1 improved the pathological damage induced by testicular I/R. In GC-1 cells, we confirmed the nuclear translocation of HO-1 and its protective effect against hypoxia/reoxygenation (H/R) damage. Accordingly, HO-1 protein itself, rather than heme metabolites, might play a key role in testicular I/R. Gene sequencing was performed to screen for miR221/222 and its downstream gene, thymocyte selection-associated high mobility group box (TOX). HO-1 increased c-Jun phosphorylation in the H/R group, knocked down c-Jun in GC-1 cells, and decreased miR-221/222 expression. Inhibition of HO-1 expression decreased the expression of c-Jun and miR-221/222, which was rescued by adding c-Jun. Dual-luciferase reporter assay confirmed the interaction between c-Jun and miR-221/222. Conclusions: HO-1 could exert a protective effect against testicular I/R via the phosphorylated c-Jun-miR-221/222-TOX pathway

    When machine vision meets histology: A comparative evaluation of model architecture for classification of histology sections.

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    Classification of histology sections in large cohorts, in terms of distinct regions of microanatomy (e.g., stromal) and histopathology (e.g., tumor, necrosis), enables the quantification of tumor composition, and the construction of predictive models of genomics and clinical outcome. To tackle the large technical variations and biological heterogeneities, which are intrinsic in large cohorts, emerging systems utilize either prior knowledge from pathologists or unsupervised feature learning for invariant representation of the underlying properties in the data. However, to a large degree, the architecture for tissue histology classification remains unexplored and requires urgent systematical investigation. This paper is the first attempt to provide insights into three fundamental questions in tissue histology classification: I. Is unsupervised feature learning preferable to human engineered features? II. Does cellular saliency help? III. Does the sparse feature encoder contribute to recognition? We show that (a) in I, both Cellular Morphometric Feature and features from unsupervised feature learning lead to superior performance when compared to SIFT and [Color, Texture]; (b) in II, cellular saliency incorporation impairs the performance for systems built upon pixel-/patch-level features; and (c) in III, the effect of the sparse feature encoder is correlated with the robustness of features, and the performance can be consistently improved by the multi-stage extension of systems built upon both Cellular Morphmetric Feature and features from unsupervised feature learning. These insights are validated with two cohorts of Glioblastoma Multiforme (GBM) and Kidney Clear Cell Carcinoma (KIRC)

    Mannose-binding lectin gene polymorphism and the susceptibility of sepsis: A meta-analysis

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    Objective To assess the association between the Mannose-binding lectin (MBL) gene polymorphism and the susceptibility to sepsis using a meta-analysis. Methods The publications were searched on PubMed, Embase, and Web of Science databases up to December 1, 2019 for relevant literature. Results A total of 32 studies (21 adult and 11 pediatric studies) were selected for analysis. Overall, in the three models of MBL +54 A/B gene polymorphisms, namely the dominant model BB + AB vs. AA ( p = 0.03), the recessive model BB vs. AB + AA ( p < 0.00001), and the allele model B vs. A ( p = 0.04), MBL +54 A/B was significantly related to the risk of sepsis. In the adult group, the MBL A/O gene polymorphism was associated with the risk of sepsis in the dominant model AO + OO vs. AA ( p = 0.006) as well as in the allele model O vs. A ( p = 0.04). The MBL +54 A/B gene polymorphism was significantly related to the risk of sepsis in the recessive model and, therefore, may increase the risk of sepsis. In the pediatric group, no polymorphic loci were significantly associated with sepsis in any of the three models. The results of the publication bias test demonstrated no publication bias in an unadjusted estimate of the relationship between MBL A/O and −211Y/X gene polymorphism and sepsis. Conclusions The polymorphisms of MBL that are related to the occurrence of sepsis are primarily A/O and +54 A/B, while −221Y/X and −550H/L have no clear relationship with the susceptibility of sepsis in various age groups or different models

    Islet 1 is expressed in distinct cardiovascular lineages, including pacemaker and coronary vascular cells

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    AbstractIslet1 (Isl1) is a LIM homedomain protein that plays a pivotal role in cardiac progenitors of the second heart field. Here, lineage studies with an inducible isl1-cre demonstrated that most Isl1 progenitors have migrated into the heart by E9. Although Isl1 expression is downregulated in most cardiac progenitors as they differentiate, analysis of an isl1-nlacZ mouse and coimmunostaining for Isl1 and lineage markers demonstrated that Isl1 is expressed in distinct subdomains of the heart, and in diverse cardiovascular lineages. Isl1 expression was observed in myocardial lineages of the distal outflow tract, atrial septum, and in sinoatrial and atrioventricular node. The myocardialized septum of the outflow tract was found to derive from Isl1 expressing cells. Isl1 expressing cells also contribute to endothelial and vascular smooth muscle lineages including smooth muscle of the coronary vessels. Our data indicate that Isl1 is a specific marker for a subset of pacemaker cells at developmental stages examined, and suggest genetic heterogeneity within the central conduction system and coronary smooth muscle. Our studies suggest a role for Isl1 in these distinct domains of expression within the heart
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