A5057578539- Metabolomics and Mass Spectrometry Studies
- Bacterial Identification and Susceptibility Testing
- Cancer-related molecular mechanisms research
- Simulation and Modeling Applications
- Molecular Biology Techniques and Applications
- Biosensors and Analytical Detection
- Liver Disease Diagnosis and Treatment
- RNA modifications and cancer
- Adhesion, Friction, and Surface Interactions
- Hepatitis B Virus Studies
- Nutritional Studies and Diet
- Hepatitis C virus research
- Circular RNAs in diseases
- Industrial Technology and Control Systems
- Earthquake Detection and Analysis
- Isotope Analysis in Ecology
- Diet and metabolism studies
- Ionosphere and magnetosphere dynamics
- Atmospheric Ozone and Climate
- Atmospheric chemistry and aerosols
- Amyotrophic Lateral Sclerosis Research
- Neurological diseases and metabolism
- Statistical Methods and Bayesian Inference
- Neurological Disease Mechanisms and Treatments
- Postharvest Quality and Shelf Life Management
Illumina (United States)
2024
Weifang Maternity and Child Care Hospital
2019-2023
Dalian Maritime University
2022-2023
Huaiyin Institute of Technology
2023
Hunan University
2023
Nanjing University of Information Science and Technology
2022-2023
Weifang Medical University
2023
University of Hawaiʻi at Mānoa
2017-2022
University of Houston
2021
University of Hawaii System
2017-2020
Missing values exist widely in mass-spectrometry (MS) based metabolomics data. Various methods have been applied for handling missing values, but the selection can significantly affect following data analyses. Typically, there are three types of not at random (MNAR), (MAR), and completely (MCAR). Our study comprehensively compared eight imputation (zero, half minimum (HM), mean, median, forest (RF), singular value decomposition (SVD), k-nearest neighbors (kNN), quantile regression...
Left-censored missing values commonly exist in targeted metabolomics datasets and can be considered as not at random (MNAR). Improper data processing procedures for will cause adverse impacts on subsequent statistical analyses. However, few imputation methods have been developed applied to the situation of MNAR field metabolomics. Thus, a practical left-censored value method is urgently needed. We an iterative Gibbs sampler based approach (GSimp). compared GSimp with other three two...
Clinical prediction of advanced hepatic fibrosis (HF) and cirrhosis has long been challenging due to the gold standard, liver biopsy, being an invasive approach with certain limitations. Less blood test tandem a cutting-edge machine learning algorithm shows promising diagnostic potential.In this study, we constructed compared methods FIB-4 score in discovery dataset (n = 490) hepatitis B virus (HBV) patients. Models were validated independent HBV 86). We further employed these models on two...
Dysregulation of sphingomyelin and ceramide metabolism have been implicated in Alzheimer's disease. Genome-wide transcriptome-wide association studies identified various genes genetic variants lipid that are associated with However, the molecular mechanisms disruption remain to be determined. We focus on sphingolipid pathway carry out multi-omics analyses identify central peripheral metabolic changes patients, correlating them imaging features. Our approach is based (a) 2114 human...
Abstract Pancreatic adenocarcinoma (PAAD), one of the most prevailing malignant tumors in digestive system, is identified as main culprits cancer-associated mortality. Despite long intergenic non-protein coding RNA 1232 (LINC01232) found to be upregulated TCGA PAAD tissues and associated with poor prognosis, potential LINC01232 progression still needs more explorations. In this study, was chosen research object cellular processes. Functionally, loss-of function assays were carried out...
Temporal persistence is as important for nanocarriers spatial accuracy. However, because of the insufficient aggreagtion and short retention time chemotherapy drugs in tumors, their clinical application greatly limited. A drug delivery approach dependent on sensitivity to an enzyme present microenvironment tumor designed exhibit different sizes sites, achieving enhanced permeability improve nanotherapy efficacy. In this work, we report a small-molecule peptide system containing both...
Accurate and noninvasive diagnosis staging of liver fibrosis are essential for effective clinical management chronic disease (CLD). We aimed to identify serum metabolite markers that reliably predict the stage in CLD patients.We quantitatively profiled metabolites participants 2 independent cohorts. Based on metabolomics data from cohort 1 (504 HBV associated patients 502 normal controls, NC), we selected a panel 4 predictive markers. Consequently, constructed 3 machine learning models with...
Abstract Introduction Missing values exist widely in mass-spectrometry (MS) based metabolomics data. Various methods have been applied for handling missing values, but the selection of can significantly affect following data analyses and interpretations. According to definition, there are three types completely at random (MCAR), (MAR), not (MNAR). Objectives The aim this study was comprehensively compare common imputation different using two separate sets (977 198 serum samples respectively)...
The incidence of Alzheimer's disease (AD) increases with age and is becoming a significant cause worldwide morbidity mortality. However, the metabolic perturbation behind onset AD remains unclear. In this study, we performed metabolite profiling in both brain (n = 109) matching serum samples 566) to identify differentially expressed metabolites pathways associated neuropathology cognitive performance individuals at high risk developing impairment. abundances 6 metabolites, glycolithocholate...
Scope The objective of this study is to develop a new methodology identify the relationship between dietary patterns and metabolites indicative food intake metabolism. Methods results Plasma urine samples from healthy Swiss subjects ( n = 89) collected over two time points are analyzed for panel host–microbial using GC– LC–MS. Dietary evaluated validated frequency questionnaire. pattern clusters relationships with determined Non‐Negative Matrix Factorization (NNMF) Sparse Generalized...
A fluorine-free cerium palmitate superhydrophobic surface on an aluminum plate was fabricated via a two-step electrodeposition method. The mechanical durability, anti-corrosion performance, water repellency and drag reduction properties were tested. results indicate that with densely packed convex island shape micro-pores nano-scale strips formed the plate. Furthermore, as-prepared exhibits excellent water-repelling ability contact angle of 162.3° sliding 1.5°. Owing to protective effect...
Rapid and accurate identification of specific sepsis pathogens is critical for patient treatment disease control. This study aimed to establish a new application the rapid common in patients with suspected evaluate its role clinical application. A multiplex PCR assay was designed simultaneously amplify conserved regions nine pathogenic microorganisms sepsis, including Acinetobacter baumannii, Escherichia coli, Klebsiella pneumonia, Pseudomonas aeruginosa, Enterococcus faecalis,...
Abstract Left-censored missing values commonly exist in targeted metabolomics datasets and can be considered as not at random (MNAR). Improper data processing procedures for will cause adverse impacts on subsequent statistical analyses. However, few imputation methods have been developed applied to the situation of MNAR field metabolomics. Thus, a practical left-censored value method is urgently needed. We an iterative Gibbs sampler based approach (GSimp). compared GSimp with other three two...
Accumulating evidence points to the strong and complicated associations between metabolome microbiome, which play diverse roles in physiology pathology. Various correlation analysis approaches were applied identify microbe–metabolite associations. Given strengths weaknesses of existing methods considering characteristics different types omics data, we designed a special strategy, called Generalized coRrelation for Metabolome Microbiome (GRaMM), intercorrelation discovery microbiome. GRaMM...
BACKGROUND The aim of this study was to clarify the biological function microRNA-449b-5p in progression osteosarcoma (OS) and define underlying mechanism. MATERIAL AND METHODS Relative levels OS tissues cell lines determined by quantitative real-time polymerase chain reaction (qRT-PCR). correlation between level pathological characteristics patients analyzed chi-square test. Kaplan-Meier analysis used for survival based on their expression microRNA-449b-5p. Regulatory effects cellular...
The impact of the annual solar eclipse, starting on 21st June 2020, attributable to surface ozone concentration (O 3 ) has been investigated in this study. To estimate influence eclipse O better, variations one reaction precursor production [nitrogen dioxide (NO 2 )], coupled with meteorological factors (including Total Solar Irradiance (TSI), Temperature (T), and Relative Humidity (RH)), were analyzed Yunnan Province, China. results show observed decreases from beginning reaching its...
This paper proposes a novel Micro-Opto-Electro-Mechanical-System (MOEMS) based beam steering method mainly designed for far operating distance applications. The proposed system incorporates MOEMS analog mirror developed by Texas Instruments Inc. as core component and expanding telescope. can change angle within ±5° range of mechanical rotation in two axes. telescope could reduce dispersion caused diffraction the mirror's boundary. Expressions equation, angular resolution are deduced....