A5050969681- Metabolomics and Mass Spectrometry Studies
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- MicroRNA in disease regulation
- Spectroscopy and Chemometric Analyses
- Cancer-related molecular mechanisms research
- Computational Drug Discovery Methods
- Analytical Chemistry and Chromatography
- Microbial Metabolic Engineering and Bioproduction
- Advanced Battery Materials and Technologies
- Face and Expression Recognition
- RNA modifications and cancer
- Lipid metabolism and biosynthesis
- Liver physiology and pathology
- Angiogenesis and VEGF in Cancer
- Health Promotion and Cardiovascular Prevention
- Fetal and Pediatric Neurological Disorders
- Reproductive Health and Technologies
- Transplantation: Methods and Outcomes
- Machine Learning and Data Classification
- MXene and MAX Phase Materials
- Machine Learning in Bioinformatics
- Cancer-related gene regulation
- CRISPR and Genetic Engineering
- Fractal and DNA sequence analysis
Harbin Medical University
2019-2024
First Affiliated Hospital of Harbin Medical University
2019-2024
Anshan Normal University
2020-2023
Shandong Provincial QianFoShan Hospital
2019-2023
Shandong First Medical University
2022-2023
Qiqihar University
2022-2023
Shanghai Changzheng Hospital
2022
Second Military Medical University
2022
Dalian University of Technology
2015-2019
Central South University
2008-2016
Abstract Purpose: Hepatocyte growth factor/scatter factor (HGF/SF) and its receptor, c-Met, play important roles in tumor development progression. In this study, we measured the serum HGF levels patients with esophageal squamous cell carcinoma (ESCC) to evaluate relationships clinicopathologic features role of ESCC. Experimental Design: One hundred forty-nine ESCC were studied. Pretherapy was collected ELISA used detect concentrations HGF, vascular endothelial (VEGF), interleukin 8 (IL-8)....
Abstract Background Dental pulp stem cells (DPSCs) are a kind of undifferentiated dental mesenchymal with strong self-renewal ability and multi-differentiation potential. This study aimed to investigate the regulatory functions succinylation modification in DPSCs. Methods DPSCs were isolated from collected healthy subjects, then cell surface markers identified using flow cytometry. The osteogenic differentiation was verified by alkaline phosphatase (ALP) alizarin red staining methods, while...
Early diagnosis of hepatocellular carcinoma (HCC) remains challenging to date. Characteristic metabolic deregulations HCC may enable novel biomarkers discovery for early diagnosis. A capillary electrophoresis-time flight mass spectrometry (CE-TOF/MS)-based metabolomics approach was performed discover and validate potential from the diethylnitrosamine-induced rat hepatocarcinogenesis model human subjects. Time series sera animal were evaluated using multivariate univariate analyses reveal...
Metabolomics is increasingly applied to discover and validate metabolite biomarkers illuminate biological variations. Combination of multiple analytical batches in large-scale long-term metabolomics commonly utilized generate robust data, but gross systematic errors are often observed. The appropriate calibration methods required before statistical analyses. Here, we develop a novel correction strategy for study, which could integrate data from different instruments by calibrating errors....
Abstract Time-series metabolomics studies can provide insight into the dynamics of disease development and facilitate discovery prospective biomarkers. To improve performance early risk identification, a new strategy for analyzing time-series data based on dynamic networks (ATSD-DN) in systematic time dimension is proposed. In ATSD-DN, non-overlapping ratio was applied to measure changes feature ratios during process construct networks. Dynamic concentration analysis network topological...
Endocrine-disrupting chemicals (EDCs) can cause serious harm to human health and the environment; therefore, it is important rapidly correctly identify EDCs. Different computational models have been proposed for prediction of EDCs over past few decades, but reported are not always easily available, studies investigated structural characteristics In present study, we developed a series artificial intelligence targeting EDC receptors: androgen receptor (AR); estrogen (ER); pregnane X (PXR)....
Uremia has been a rapidly increasing health problem in China. Hemodialysis (HD) is the main renal replacement therapy for uremia. The results of large-scale clinical trials have shown that HD pattern crucial long-term prognosis maintenance hemodialysis (MHD) uremic patients. Plasma metabolism very important revealing biological insights linked to therapeutic effects on Alteration plasma metabolites patients response reported. However, HD-pattern-dependent changes remain poorly understood. To...
Mass spectrometry (MS) driven metabolomics is a frequently used tool in various areas of life sciences; however, the analysis polar metabolites less commonly included. In general, metabolomic analyses lead to detection total amount all covered metabolites. This currently major limitation with respect showing high turnover rates, but no changes their concentration. Such and pathways could be crucial metabolic nodes (e.g., potential drug targets cancer metabolism). A stable-isotope tracing...
Due to the sluggish kinetics of sulfur conversion and large volume change lithium anode, along with formation dendrites, lithium-sulfur batteries (LSBs) usually exhibit severe capacity decay poor cycle life. It is necessary consider factors associated cathodes, separators anodes in an integrated manner solve problems existing LSBs. In this paper, a vertically aligned porous carbon decorated transition metal sulfides was introduced between cathode anode comprehensively Widely natural wood...
Abstract MicroRNAs (miRNAs) play important roles in the occurrence and development of diseases. However, it is still challenging to identify effective miRNA biomarkers for improving disease diagnosis prognosis. In this study, we proposed data analysis method based on multi-view networks reinforcement learning, miRMarker, define potential biomarkers. miRMarker constructs cooperative regulation network functional similarity expression known miRNA–disease relations, respectively. The miRNAs was...
Abstract Hepatocellular carcinoma (HCC) is a prevalent malignancy and there lack of effective biomarkers for HCC diagnosis. Living organisms are complex, different omics molecules interact with each other to implement various biological functions. Genomics metabolomics, which the top bottom systems biology, play an important role in clinical management. Fatty acid metabolism associated malignancy, prognosis, immune phenotype cancer, potential hallmark malignant tumors. In this study, genes...
Analyzing the disease data from view of combinatorial features may better characterize phenotype. In this study, a novel method is proposed to construct feature combinations and classification model (CFC-CM) by mining key relationships. CFC-CM iteratively tests for differences in relationship between different groups. To do this, it uses modified $k$k-top-scoring pair (M-$k$k-TSP) algorithm then selects most discriminative pairs current set infer build model. Compared with support vector...
In this paper, we describe a hybrid dynamical model incorporating residual and delayed effects of pesticides pest resistance to simulate the process integrated management. It assumes that spraying is more frequently used than releasing natural enemies. The threshold condition for pest-eradication given. Combined with numerical simulations, chemical control factors on are discussed. results confirm it not sprayed stronger have pests, smaller is. Further, give three different strategies,...
Abstract Background and Objectives The aim of this study was to evaluate type II radical hysterectomy with or without adjuvant therapy as a treatment for patients pelvic lymph node metastasis (PLNM) stage IB–IIB cervical carcinoma. Methods A total 288 carcinoma confirmed PLNM who underwent between 1995 2005 were retrospectively evaluated. Results 5‐year overall survival (OS) rate cohort 65.6%, independent prognostic factors identified included non‐squamous cell histological subtype...