Search

Study Region: Endorheic and exorheic basins of the Tibetan Plateau (TP). Study Focus: Reanalysis and satellite precipitation products provide alternatives for regions of sparse ground precipitation observation, but pose a tough task to select a suitable one for the TP. This study conducts a multi-scale evaluation of six reanalysis and satellite precipitation products in endorheic and exorheic basins using water balance and extended triple collocation (ETC) methods. The reanalysis precipitation products include ECMWF Re-Analysis version 5 (ERA5-Land), China Meteorological Forcing Dataset (CMFD), Global Land Data Assimilation Systems (GLDAS), and High-resolution Precipitation dataset for the Third Pole region (TPHiPr). The satellite precipitation data include Global Precipitation Measurements (GPM) and Tropical Rainfall Measuring Mission (TRMM) products. New Hydrological Insights for the Region: The precipitation products vary in accuracy from basin to basin, with better performance in exorheic than endorheic basins. Reanalysis-based ERA5-land, TPHiPr, and CMFD perform well in most basins at annual scale, among which TPHiPr performs best at daily scale. At regional scale, GPM performs well in endorheic region, and ERA5-land in exorheic region. While all the products increase significantly in accuracy from basin to regional scale in endorheic region, ERA5-land shows best performance at annual and multi-year scales in the entire region. Our findings provide valuable supports for precipitation product selection in the Tibetan endorheic and exorheic basins.

Background: Currently, the existing evidence on the correlation between serum total bilirubin (STB) and Parkinson's disease (PD) is insufficient. The objective of this study was to clarify the relationship between STB levels and PD within the US (United States) population. Methods: A cross-sectional analysis was conducted using data from 25,637 participants in the National Health and Nutrition Examination Survey (NHANES) 1999–2018. Weighted logistic regression, smooth curve fitting, subgroup analysis, and sensitivity analyses were employed to validate the research objectives. Results: Among all eligible subjects, the mean age was 57.11 ± 11.78 years. The prevalence of PD was 1.18 % overall, with 47.86 % in males. After adjusting for multiple variables, the odds ratio [OR] (95 % confidence interval [CI]) for PD associated with STB levels in T2 and T3 were 0.59 (95 % CI = 0.40–0.85, p = 0.006) and 0.67 (95 % CI = 0.45–0.99, p = 0.045), respectively, when compared to STB levels in T1. The analysis using restricted cubic splines (RCS) indicated an L-shaped relationship between STB levels and the prevalence of PD (p for nonlinearity = 0.004), with the lowest risk observed at 10.84 μmol/L. Comparable patterns of association were noted in subgroup analyses. Furthermore, consistent findings were derived from additional sensitivity analyses. Conclusions: Our study findings indicated that the level of STB is significantly negatively correlated with the prevalence of PD. Therefore, more prospective studies need to be designed to prove the causal relationship between them.

ABSTRACT: Exosome-mediated horizontal and vertical transmission of subgroup J avian leukosis virus (ALV-J) in poultry flocks can lead to growth inhibition and severe immunosuppression. However, there are few reports on the early infection of chicken embryonic stem cells (cESCs) with ALV-J. In this study, we confirmed that early infection with ALV-J can accelerate the differentiation of cESCs and promote the secretion of exosomes. To investigate the modulation strategy of ALV-J in cESCs, circRNA sequencing was performed for further analysis. A total of 305 differentially expressed circRNAs (DECs) were obtained, including 71 upregulated DECs. Circ-CCDC7 was found to be the most upregulated DEC and was assessed by qRT-PCR, with the result consistent with the result of circRNA-seq. Based on qRT-PCR, gga-miR-6568-3p was found to be the target of the top 3 DECs, including circ-CCDC7, and the stem cell marker gene Pax7 was identified as the target gene of gga-miR-6568-3p. This study demonstrated that exosomal circ-CCDC7/gga-miR-6568-3p/Pax7 accelerates the differentiation of cESCs after early infection with ALV-J.

Optically pumped magnetometer magnetoencephalography (OPM-MEG) holds significant promise for clinical functional brain imaging due to its superior spatiotemporal resolution. However, effectively suppressing metallic artifacts, particularly from devices such as orthodontic braces and vagal nerve stimulators remains a major challenge, hindering the wider clinical application of wearable OPM-MEG devices.A comprehensive analysis of metal artifact characteristics from time, frequency, and time–frequency perspectives was conducted for the first time using an OPM-MEG device in clinical medicine. This study focused on patients with metal orthodontics, examining the modulation of metal artifacts by breath and head movement, the incomplete regular sub-Gaussian distribution, and the high absolute power ratio in the 0.5–8 Hz band. The existing metal artifact suppression algorithms applied to SQUID-MEG, such as fast independent component analysis (FastICA), information maximization (Infomax), and algorithms for multiple unknown signal extraction (AMUSE), exhibit limited efficacy. Consequently, this study introduced the second-order blind identification (SOBI) algorithm, which utilized multiple time delays for the component separation of OPM-MEG measurement signals. We modified the time delays of the SOBI method to improve its efficacy in separating artifact components, particularly those in the ultralow frequency range. This approach employs the frequency-domain absolute power ratio, root mean square (RMS) value, and mutual information methods to automate the artifact component screening process.The effectiveness of this method was validated through simulation experiments involving four subjects in both resting and evoked experiments. In addition, the proposed method was also validated by the actual OPM-MEG evoked experiments of three subjects. Comparative analyses were conducted against the FastICA, Infomax, and AMUSE algorithms. Evaluation metrics included normalized mean square error, normalized delta band power error, RMS error, and signal-to-noise ratio, demonstrating that the proposed method provides optimal suppression of metal artifacts. This advancement holds promise for enhancing data quality and expanding the clinical applications of OPM-MEG.

Ecological and environmental protection is a key issue that cannot be ignored in the process of urbanization. To achieve the goal of urban sustainable development, the dynamic and complex relationship between urbanization and the ecological environment must be coordinated. A comprehensive evaluation of 16 cities within the Chengdu-Chongqing urban agglomeration from 2011 to 2020 utilized the entropy weight method, super-SBM model, and coupling coordination degree model to analyze urbanization levels, ecological efficiency, and their interplay. The findings reveal a fluctuating descent in urbanization levels with a fluctuating upward in eco-efficiency across Chengdu-Chongqing from 2011 to 2020. The coupling coordination degree, exhibiting a dynamic, bimodal distribution, reflects the intricate balance between urbanization and ecological efficiency. A kernel density model and Tobit model further elucidate the evolving nature of the coordination degree and its principal determinants. This research underscores the role of green initiatives and consumption patterns in enhancing coordination, while governmental intervention and industrial structure emerge as critical factors undermining coordination. The study provides insights for government policy formulation, offering substantial contributions to the recalibration of urban development strategies and the optimization of city planning paradigms.

During vascular development, endothelial cells (ECs) undergo arterialization in response to genetic programs and shear stress-triggered mechanotransduction, forming a stable vasculature. Although the Notch receptor is known to sense shear stress and promote EC arterialization, its downstream mechanisms remain unclear. In this study, the Notch downstream miR-342-5p was found to respond to shear stress and promote EC arterialization. Shear stress upregulated miR-342-5p in a Notch-dependent manner in human umbilical vein endothelial cells (HUVECs). miR-342-5p overexpression upregulated the shear stress-associated transcriptomic signature. Moreover, miR-342-5p upregulated arterial markers and promoted EC arterialization in a Matrigel plug assay and retinal angiogenesis model. In contrast, miR-342-5p knockdown downregulated arterial markers, compromised retinal arterialization, and partially abrogated shear stress and Notch activation-induced arterial marker upregulation. Mechanistically, miR-342-5p overexpression suppressed MYC to repress EC proliferation and promote arterialization, achieved by promoting MYC protein degradation by targeting the EYA3. Consistently, EYA3 overexpression rescued miR-342-5p-mediated MYC downregulation and EC arterialization. In vivo, miR-342-5p expression was notably decreased in the ligated artery in a hindlimb ischemia model, and an intramuscular injection of miR-342-5p promoted EC arterialization and improved perfusion. In summary, miR-342-5p, a mechano-miR, mediates the effects of shear stress-activated Notch on EC arterialization and is a potential therapeutic target for ischemic diseases.

Self-collection of saliva samples has attracted considerable attention in recent years, particularly during the coronavirus disease 2019 pandemic. However, studies investigating the detection of other common respiratory pathogens in saliva samples are limited. In this study, nasopharyngeal swabs (NPS), oropharyngeal swabs (OPS), and “hock-a-loogie” saliva (HLS) were collected from 469 patients to detect 13 common respiratory pathogens. Overall positivity rates for NPS (66.1 %), HLS (63.5 %), and OPS (57.8 %) were statistically different (P = 0.028), with an overall concordance of 72.7 %. Additionally, detection rates for NPS (85.9 %) and HLS (83.2 %) for all pathogens were much higher than for OPS (73.3 %). Coronavirus and human rhinovirus were most frequently detected pathogens in NPS (P

Natural extracellular vesicles (EVs) play important roles in many life processes such as in the intermolecular transfer of substances and genetic information exchanges. Investigating the origins and working mechanisms of natural EVs may provide an understanding of life activities, especially regarding the occurrence and development of diseases. Additionally, due to their vesicular structure, EVs (in small molecules, nucleic acids, proteins, etc.) could act as efficient drug-delivery carriers. Herein, we describe the sources and biological functions of various EVs, summarize the roles of EVs in disease diagnosis and treatment, and review the application of EVs as drug-delivery carriers. We also assess the challenges and perspectives of EVs in biomedical applications.

Tropospheric ozone (O3) pollution has been becoming prominent in North China Plain (NCP) in China since last decade. In order to clarify the source contribution and formation mechanism of O3, the critical precursors of volatile organic compounds (VOCs) were measured with both on-line and off-line methods in Luoyang City in summer of 2019. The concentrations of nitrogen oxides (NOx, sum of NO and NO2) and O3 were simultaneously monitored. Fifty-seven VOCs measured in U.S. Photochemical Assessment Monitoring Station (PAMS) showed daily concentrations in a range of 14.5 ± 5.33 to 29.2 ± 11.2 ppbv in Luoyang, which were comparable with those in other Chinese megacities. The mass compositions of VOCs were determined, with comparatively low proportions of alkanes (

We present ADIOS 2, the latest version of the Adaptable Input Output (I/O) System. ADIOS 2 addresses scientific data management needs ranging from scalable I/O in supercomputers, to data analysis in personal computer and cloud systems. Version 2 introduces a unified application programming interface (API) that enables seamless data movement through files, wide-area-networks, and direct memory access, as well as high-level APIs for data analysis. The internal architecture provides a set of reusable and extendable components for managing data presentation and transport mechanisms for new applications. ADIOS 2 bindings are available in C++11, C, Fortran, Python, and Matlab and are currently used across different scientific communities. ADIOS 2 provides a communal framework to tackle data management challenges as we approach the exascale era of supercomputing.

Background: The population structure of human diarrheagenic Escherichia coli (DEC) isolates derived from worldwide collections remains undefined. Methods: A total of 1196 clinical isolates were obtained from a multilocus sequence typing (MLST) database. Genetic diversity analysis, MLST analysis, and phylogenetic analysis combined with different pathotypes were performed through a variety of calculation software applications. Results: All isolates were categorized as one of 579 different sequence types (STs). The eBURST algorithm resolved these 579 STs into 27 clonal complexes (CCs), 37 concatemers, and 210 singletons, revealing a high level of genetic diversity in the population structure of DEC. CC10 was the most prevalent CC, comprising 276 (23.08%, 276/1196) isolates with 85 (14.68%, 85/579) STs widely distributed in 20 countries. The population structure of five common pathotypes was highly diversified, and isolates with the same ST or CC were heterogeneous for different pathotypes. Sequence variations were more abundant in fumC and gyrB than in the other five genes, and these exhibited the highest degree of nucleotide diversity (0.03886 and 0.03075, respectively) and the greatest number of polymorphic nucleotide sites (137 and 139, respectively). The dN/dS ratios of seven analyzed loci varied from 0.0083 (recA) to 0.0434 (purA), and the ratio for the concatenated sequence was 0.2518, revealing the effects of purifying selection on housekeeping genes during the evolutionary process. Significant allele linkage disequilibrium was detected when the standardized index of association (ISA) was calculated both for the entire collection of isolates (0.3174, p