scholarly journals High-Throughput Sequencing and Co-Expression Network Analysis of lncRNAs and mRNAs in Early Brain Injury Following Experimental Subarachnoid Haemorrhage

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Jianhua Peng ◽  
Yue Wu ◽  
Xiaocui Tian ◽  
Jinwei Pang ◽  
Li Kuai ◽  
...  
Keyword(s):  
Brain Injury ◽  
Network Analysis ◽  
Subarachnoid Haemorrhage ◽  
High Throughput ◽  
High Throughput Sequencing ◽  
Early Brain Injury ◽  
Experimental Subarachnoid Haemorrhage

scholarly journals Bacterial Community Shift and Coexisting/Coexcluding Patterns Revealed by Network Analysis in a Uranium-Contaminated Site after Bioreduction Followed by Reoxidation

2018 ◽  
Vol 84 (9) ◽  
Author(s):  
Bing Li ◽  
Wei-Min Wu ◽  
David B. Watson ◽  
Erick Cardenas ◽  
Yuanqing Chao ◽  
...  
Keyword(s):  
Network Analysis ◽  
High Throughput ◽  
Bacterial Communities ◽  
High Throughput Sequencing ◽  
Ecological Niches ◽  
Content Type ◽  
Oak Ridge ◽  
Α Diversity ◽  
Before And After

ABSTRACTA site in Oak Ridge, TN, USA, has sediments that contain >3% iron oxides and is contaminated with uranium (U). The U(VI) was bioreduced to U(IV) and immobilizedin situthrough intermittent injections of ethanol. It then was allowed to reoxidize via the invasion of low-pH (3.6 to 4.0), high-nitrate (up to 200 mM) groundwater back into the reduced zone for 1,383 days. To examine the biogeochemical response, high-throughput sequencing and network analysis were applied to characterize bacterial population shifts, as well as cooccurrence and coexclusion patterns among microbial communities. A pairedttest indicated no significant changes of α-diversity for the bioactive wells. However, both nonmetric multidimensional scaling and analysis of similarity confirmed a significant distinction in the overall composition of the bacterial communities between the bioreduced and the reoxidized sediments. The top 20 major genera accounted for >70% of the cumulative contribution to the dissimilarity in the bacterial communities before and after the groundwater invasion.Castellaniellahad the largest dissimilarity contribution (17.7%). For the bioactive wells, the abundance of the U(VI)-reducing generaGeothrix,Desulfovibrio,Ferribacterium, andGeobacterdecreased significantly, whereas the denitrifyingAcidovoraxabundance increased significantly after groundwater invasion. Additionally, seven genera, i.e.,Castellaniella,Ignavibacterium,Simplicispira,Rhizomicrobium,AcidobacteriaGp1,AcidobacteriaGp14, andAcidobacteriaGp23, were significant indicators of bioactive wells in the reoxidation stage. Canonical correspondence analysis indicated that nitrate, manganese, and pH affected mostly the U(VI)-reducing genera and indicator genera. Cooccurrence patterns among microbial taxa suggested the presence of taxa sharing similar ecological niches or mutualism/commensalism/synergism interactions.IMPORTANCEHigh-throughput sequencing technology in combination with a network analysis approach were used to investigate the stabilization of uranium and the corresponding dynamics of bacterial communities under field conditions with regard to the heterogeneity and complexity of the subsurface over the long term. The study also examined diversity and microbial community composition shift, the common genera, and indicator genera before and after long-term contaminated-groundwater invasion and the relationship between the target functional community structure and environmental factors. Additionally, deciphering cooccurrence and coexclusion patterns among microbial taxa and environmental parameters could help predict potential biotic interactions (cooperation/competition), shared physiologies, or habitat affinities, thus, improving our understanding of ecological niches occupied by certain specific species. These findings offer new insights into compositions of and associations among bacterial communities and serve as a foundation for future bioreduction implementation and monitoring efforts applied to uranium-contaminated sites.

scholarly journals From vasospasm to early brain injury: New frontiers in subarachnoid haemorrhage research

2013 ◽  
Vol 28 (5) ◽  
pp. 309-316
Author(s):  
N.M. Muñoz-Guillén ◽  
R. León-López ◽  
I. Túnez-Fiñana ◽  
A. Cano-Sánchez
Keyword(s):  
Brain Injury ◽  
Subarachnoid Haemorrhage ◽  
Early Brain Injury

Acute ischaemia after subarachnoid haemorrhage, relationship with early brain injury and impact on outcome: a prospective quantitative MRI study

2014 ◽  
Vol 86 (1) ◽  
pp. 71-78 ◽  
Author(s):  
Jennifer A Frontera ◽  
Wamda Ahmed ◽  
Victor Zach ◽  
Maximo Jovine ◽  
Lawrence Tanenbaum ◽  
...  
Keyword(s):  
Brain Injury ◽  
Subarachnoid Haemorrhage ◽  
Early Brain Injury ◽  
Quantitative Mri ◽  
Acute Ischaemia ◽  
Mri Study

Rapamycin protects against early brain injury independent of cerebral blood flow changes in a mouse model of subarachnoid haemorrhage

2018 ◽  
Vol 45 (8) ◽  
pp. 859-862 ◽  
Author(s):  
Kazumasu Sasaki ◽  
Shuzo Yamamoto ◽  
Tatsushi Mutoh ◽  
Yoshiharu Tsuru ◽  
Yasuyuki Taki ◽  
...  
Keyword(s):  
Blood Flow ◽  
Cerebral Blood Flow ◽  
Brain Injury ◽  
Mouse Model ◽  
Subarachnoid Haemorrhage ◽  
Early Brain Injury ◽  
Flow Changes
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