A Predictive Factor For Short-Term Outcome In Patients With COVID-19: CT Score For Lung Involvement

Wang, G; Ma, Kewei; Yu, Na; F, Liu; Luan, Zemin; Zhao, Chi; Wang, J; Qin, Zike; Li, Wei; B, Liu; Y, Liu; M, Niu; Xiao, Wenjin; Wang, Z

doi:10.47829/ajsccr.2021.2701

Cited by 3 publications

(4 citation statements)

References 27 publications

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“…Researches have shown that the microbes in oligotrophic lakes on the northern Qinghai-Tibet Plateau are dominated by Actinobacteria and Verrucomicrobia (Liu et al, 2019;Gu et al, 2021), which was consistent with the results of this study using selected lakes on the Qinghai Tibet Plateau. The microbial composition of Erhai, Fuxian Lake, Bohu Lake, and Daye Lake also corroborates previous literature records (Hong et al, 2011;Bai et al, 2020).…”

Section: Discusssion Lake Microbial Community Diversity Response To E...supporting

confidence: 92%

“…Lakes with different terrain ladders (terrains of contrasting elevation levels) have special living environments and abundant microbial taxa, which play diverse roles in energy metabolism and material circulation (Eiler et al, 2012;Xing et al, 2020;Tran et al, 2021). Many studies have shown that different microbial communities can complement each other in the biogeochemical cycle (Rathour et al, 2020;Liu et al, 2021). However, there are few studies on the lateral comparison of the microbial community structure among lakes in different ladders and their roles in biogeochemical cycles using functional metagenomics.…”

Section: Introductionmentioning

confidence: 99%

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Metagenomics reveals the diversity and role of surface-water microbes in biogeochemical cycles in lakes at different terrain ladders

Zhao

et al. 2023

Front. Environ. Sci.

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As the most important component of ecosystems, microbial communities play a significant role in global biogeochemical cycles. Geographical barriers created by topographic differences are proposed as one of the main factors to shape microbial diversity, functional composition and their evolution across aquatic ecosystem. There are few studies that compare the microbial community structure and functional potential of lakes with different terrain ladders (terrains of contrasting elevation levels), especially those involving Qinghai-Tibet Plateau. This study compared microbial 16S rRNA data from 51 lakes with different terrain ladders, showing that the composition of the dominant microbial community was similar, but the microbial abundance was quite different in different terrain ladders. Actinobacteria, Proteobacteria, Cyanobacteria, Planctomycete, Verrucomicrobia and Bacteroidetes were the dominant taxa. Through the correlation analysis between environmental factors and the microbial community structure, it was found that two environmental factors (elevation and salinity) had significant contributions to the microbial composition. Metagenomics of six representative lakes revealed the relationship between microbial composition and metabolic processes related to carbon, nitrogen and sulfur cycles. The comparative analysis of genes related to metabolism cycles showed that functional processes such as aerobic respiration, nitrogen assimilation, the mineralization of nitrogen and sulfur had highest metabolic potential in the ecosystems. The analysis of indicator species based on the metabolic process in the carbon, nitrogen and sulfur cycles showed that the microbial community structure is related to the dominant metabolic functions within biogeochemical cycles. Different dominant species play an important and distinct role in lakes with different gradients. Actinobacteria, Cyanobacteria and Proteobacteria were the most important indicator species on the Qinghai-Tibet Plateau, Yunnan-Guizhou Plateau and the middle and lower reaches of the Yangtze River Plain, respectively. In general, this study explored the functional distribution patterns of the dominant microbial communities in the lakes in biogeocycles.

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Section: Discusssion Lake Microbial Community Diversity Response To E...supporting

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Metagenomics reveals the diversity and role of surface-water microbes in biogeochemical cycles in lakes at different terrain ladders

Zhao

et al. 2023

Front. Environ. Sci.

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“…It has been demonstrated that a high-energy intermediate, DOD, formed by the CPPO−H 2 O 2 CL system, readily transfers its energy to a neighboring fluorophore, like BSA@AuNCs. 19,31,32 Therefore, CL resonance energy transfer can occur from the high-energy intermediate DOD, generated by the oxidation of CPPO with H 2 O 2 , to BSA@AuNCs. In brief, the CL emission of CPPO/BSA@AuNCs is initiated by H 2 O 2 , which decomposes CPPO to form a high-energy DOD that subsequently induces NIR CL emission.…”

Section: Mechanism Of the Nir CL Nanoprobesmentioning

confidence: 99%

Self-Illuminating Near-Infrared Chemiluminescence Nanosensors for Tumor Imaging

Wang,

Liu,

et al. 2024

ACS Appl. Nano Mater.

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Chemiluminescence (CL) imaging, characterized by its high signal-to-noise ratio, has emerged as a highly promising approach for noninvasive and efficient tumor detection. Nevertheless, the development of efficient near-infrared (NIR) emission CL probes with good biocompatibility for precise tumor diagnosis remains a challenge. In the present study, we designed and synthesized a biocompatible NIR CL nanoparticle with aggregation-induced emission characteristics, named CPPO/BSA@ AuNCs. Specifically, bis(2,4,5-trichloro-6-carbopentoxyphenyl) oxalate (CPPO) was encapsulated by bovine serum albumincapped gold nanoclusters (BSA@AuNCs) with aggregationinduced NIR emission properties. The nanoprobe demonstrated high CL signals with an extremely long lifetime and could be employed for quantitative analysis of reactive oxygen species, such as H 2 O 2 . Importantly, the NIR CL signal could effectively penetrate tissues with a penetration depth exceeding 27 mm, exhibiting significantly superior performance compared to the NIR fluorescence signal and blue CL signal. In vivo studies using mice bearing the 4T1 primary breast tumor and intraperitoneal metastases demonstrated that nanoprobe-based NIR CL imaging could effectively distinguish tumors from normal tissues, paving the way for CL-guided deep tumor diagnosis and surgery.

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“…The San Jacinto River flows through two lake basins to merge with the Santa Ana River 68 km downstream from its source. However, its flow is only rarely sufficient to fill either basin, the San Jacinto (Wang et al, 1995) or Lake Elsinore (3 times since 1900 and 20 times since 1769, Kirby et al, 2007), and reach the Santa Ana River and, thereby, the ocean. This combination suggests a relatively recent integration of the San Jacinto River through its length (68 km).…”

Section: Amargosa Rivermentioning

confidence: 99%

A model of temporal and spatial river network evolution with climatic inputs

Hunt,

Ghanbarian,

Faybishenko

2023

Front. Water

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Predicting the temporal and spatial evolution of the river network is part of the Earth's critical zone investigations, which has become an important endeavor. However, modeling integration of the river network and critical zone over millions of years is rare. We address the problem of how to predict integrated river length development as a function of time within a framework of addressing the critical zone depth as a function of time. In case of groundwater-river interaction, we find a non-linear spatio-temporal scaling relationship between time, t, and total river length L, given by t≈Lp with power p being near 1.2. The basis of our model is the presumption that groundwater flow paths are relevant to river integration. As river integration may proceed over disconnected basins with irregular relief, the relevant optimal subsurface flow paths are proposed to be defined within a 3D network, with optimal path exponent 1.43. Because the 2D model of the river length has already been shown to relate to a power of the Euclidean distance across a drainage basin with the predicted universal optimal path exponent from percolation theory, Dopt = 1.21, the optimal groundwater paths should relate to the surface river length with an exponent equaling the ratio 1.43/1.21 = 1.18. To define a predictive relationship for the river length, we need to use specific length and time scales. We assume that the fundamental specific length scale is a characteristic particle size (which is commonly used to define the pore scale flow network), and the fundamental time scale is the ratio of the particle size to the regional groundwater flow rate. In this paper, we consider cases of predicting spatio-temporal scaling of drainage organization in the southwestern USA–the Amargosa, Mojave, Gila (and its tributaries) and the Rio Grande, and Pecos Rivers. For the Mojave and Gila Rivers, theoretical results for time scales of river integration since ca. 10 Ma are quite predictive, though the predicted time scales exceed observation for the Rio Grande and Pecos.

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A Predictive Factor For Short-Term Outcome In Patients With COVID-19: CT Score For Lung Involvement

Cited by 3 publications

References 27 publications

Metagenomics reveals the diversity and role of surface-water microbes in biogeochemical cycles in lakes at different terrain ladders

Metagenomics reveals the diversity and role of surface-water microbes in biogeochemical cycles in lakes at different terrain ladders

Self-Illuminating Near-Infrared Chemiluminescence Nanosensors for Tumor Imaging

A model of temporal and spatial river network evolution with climatic inputs

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