- Metabolomics and Mass Spectrometry Studies
- Cancer, Hypoxia, and Metabolism
- Advanced Chemical Sensor Technologies
- RNA modifications and cancer
- Analytical Chemistry and Chromatography
- Liver Disease Diagnosis and Treatment
- Ferroptosis and cancer prognosis
- Metabolism and Genetic Disorders
- Plant and animal studies
- Diet and metabolism studies
- Phytoestrogen effects and research
- Spectroscopy and Chemometric Analyses
- Bacteriophages and microbial interactions
- Drug Transport and Resistance Mechanisms
- Antioxidant Activity and Oxidative Stress
- Prenatal Screening and Diagnostics
- Vitamin C and Antioxidants Research
- Calcium signaling and nucleotide metabolism
- Bioactive natural compounds
- Industrial Technology and Control Systems
- Transgenic Plants and Applications
- Fatty Acid Research and Health
- Lipid metabolism and biosynthesis
- Advanced biosensing and bioanalysis techniques
- CRISPR and Genetic Engineering
Guangzhou University of Chinese Medicine
2024
Shanghai Jiao Tong University
2022
Thermo Fisher Scientific (China)
2016-2018
Zhejiang University of Technology
2018
Chinese Academy of Sciences
2009-2012
Dalian Institute of Chemical Physics
2010-2012
Huazhong University of Science and Technology
2005
Anhui Agricultural University
1991
Currently available prognostic tools and focused therapeutic methods result in unsatisfactory treatment of gastric cancer (GC). A deeper understanding human epidermal growth factor receptor 2 (HER2)-coexpressed metabolic pathways may offer novel insights into tumour-intrinsic precision medicine.The integrated multi-omics strategies (including transcriptomics, proteomics metabolomics) were applied to develop a classifier for cancer. We TCGA-STAD cohort (375 GC samples 56753 genes) TCPA-STAD...
Phenotypic plasticity occurs prevalently and plays a vital role in adaptive evolution. However, the underlying molecular mechanisms responsible for expression of alternate phenotypes remain unknown. Here, density-dependent phase polyphenism Locusta migratoria was used as study model to identify key signaling molecules regulating phenotypic plasticity. Metabolomic analysis, using high-performance liquid chromatography gas chromatography–mass spectrometry, showed that solitarious gregarious...
Osteoporosis is becoming a highly prevalent disease in large proportion of the global aged population. Serum metabolite markers may be important for treatment and early prevention osteoporosis. samples from 32 osteoporosis controls were analyzed by untargeted metabolomics lipidomic approaches performed on an ultra-high performance liquid chromatography high-resolution mass spectrometry (UHPLC-HRMS) system. To find systemic disturbance osteoporosis, weighted gene correlation network analysis...
The profiling of metabolites provides an immediate snapshot that depicts crucial physiological information, holding immense potential for the early diagnosis and prognosis diseases, including diabetes. Herein, we proposed optimized in-depth target-based metabolome platform through integration six distinct conditions, a normal phase, pre-column chemical derivatization four reversed phase separation methods quantification total 1609 small molecules (32 sub-classes) in serum after normalization...
ABSTRACT Background Metabolic reprogramming, an essential hallmark of pancreatic cancer (PC), affects the treatment and prognosis patients with this malignancy. For nonresectable PC, chemotherapy is primary option, gemcitabine recognized as a first‐line chemotherapeutic drug. However, effectiveness often compromised by rapid development drug resistance. This study investigated metabolic targets in PC under evaluated potential matrine, Chinese herb extract, adjuvant therapy for PC. Methods We...
To investigate the exposure of infants to phenylpyrazole and diamide insecticides during lactation, we collected 3467 breast milk samples lactating women from 100 cities 24 provinces in China prepared pooled together city-by-city. Among insecticides, fipronil its metabolites (63-100%) were widely detected milk, with total detection concentrations ranging 178 2947 ng/L (median: 921 ng/L). chlorantraniliprole flubendiamide but their frequencies (20-85%) concentration levels (nondetected 89.9...
Systematic studies were performed on the biological perturbations in metabolic phenotype responding to protein-energy malnutrition through global profiling analysis, combination with pattern recognition. The rat model was established five weeks of strict diet restriction, and metabonome data obtained from gas chromatography-mass spectrometry (GC-MS) liquid (LC-MS) integrated approximate comprehensive signature. Principal component analysis orthogonal projection latent structure used for...
Gastric cancer (GC) is a common lethal malignancy worldwide. Gastroscopy an effective screening technique for decreasing mortality. However, there are still limited useful non-invasive markers early detection of GC. Bile acids important molecules the modulation energy metabolism. With in-depth targeted method accurate quantitation 80 bile (BAs), we aimed to find potential biomarkers A cohort with 280 participants was enrolled, including 113 GC, 22 benign gastric lesions (BGL) and 145 healthy...
Considering that there are no effective biomarkers for the screening of cardia gastric cancer (CGC), we developed a noninvasive diagnostic approach, employing data-independent acquisition (DIA) proteomics to identify candidate protein markers.
In this work a chip-based nano HPLC coupled MS (HPLC-chip/MS) method with simple sample preparation procedure was developed for the flavonoid profiling of soybean. The analytical properties including linearity (R(2) , 0.992-0.995), reproducibility (RSD, 1.50-7.66%), intraday precision 1.41-5.14%) and interday 2.76-16.90%) were satisfactory. Compared conventional HPLC/MS method, fast extraction analysis applied more flavonoids detected in single run. Additionally, 13 soybean seed identified...
Background and Aims: The diagnosis of Wilson's disease (WD) is challenging by clinical or genetic criteria. A typical early pathological change WD the increased liver lipid deposition lowered serum triglyceride (TG). Therefore, contents lipids may provide evidence for screening biomarkers WD. Methods: 34 patients, 31 relatives, 65 normal controls were enrolled in this study. Serum lipidomics data was acquired an ultra-high-performance liquid chromatography high-resolution mass spectrometry...
Pest management on street trees in the U.S. aims to protect an asset worth nearly $30 billion plus investment of over $425 million dollars per year, or $10.62 managed tree. Tree care accounts for only .49% city budgets, and spraying, a major pest control method, is 4% that. Only 36% responding cities monitor pests. The most common method resident complaints (26%), followed by amount tree damaged (23%) number (22%). Results are provided region, but nationally often reported insects 1986 were...
An approach was developed for extracting and analyzing the chemical components of tobacco leaves based on solvent extraction rapid & resolution liquid chromatography/quadrupole time-of-flight mass spectrometry analysis. Two solvents with different polarities were used to extract hydrophilic hydrophobic components, respectively, combined analytical data can provide a "global" view metabolites. Based evaluation parallel samples, it found that this provided good repeatability, accurate reliable...
Pancreatic cancer (PC) is burdened with a low 5-year survival rate and high mortality due to severe lack of early diagnosis methods slow progress in treatment options. To improve clinical enhance the effects, we applied metabolomics using ultra-high-performance liquid chromatography high-resolution mass spectrometer (UHPLC-HRMS) identify validate metabolite biomarkers from paired tissue samples PC patients. Results showed that metabolic reprogramming mainly featured enhanced amino acid...
Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality worldwide. The in-depth study genes and metabolites related to nucleotide metabolism will provide new ideas for predicting the prognosis HCC patients. This integrated transcriptome data different cancer types explore characteristics significance metabolism-related (NMGRs) in types. Then, we constructed classifier model based on samples from TCGA GEO, detected gene expression level through molecular biology...