A5100744207- Bioinformatics and Genomic Networks
- Cancer-related molecular mechanisms research
- Gene expression and cancer classification
- Machine Learning in Bioinformatics
- Alzheimer's disease research and treatments
- Nuclear Receptors and Signaling
- GDF15 and Related Biomarkers
- Glioma Diagnosis and Treatment
- RNA modifications and cancer
- Parkinson's Disease Mechanisms and Treatments
- Computational Drug Discovery Methods
- Traditional Chinese Medicine Analysis
- Molecular Biology Techniques and Applications
- Forensic Entomology and Diptera Studies
- 14-3-3 protein interactions
- Adipose Tissue and Metabolism
- Biochemical Analysis and Sensing Techniques
- Heart Rate Variability and Autonomic Control
- Connexins and lens biology
- Pharmacological Effects and Toxicity Studies
- Insect and Pesticide Research
- Marine Sponges and Natural Products
- Traditional Chinese Medicine Studies
- Dermatological diseases and infestations
- Cholinesterase and Neurodegenerative Diseases
Teesside University
2019-2025
Tibet University
2023-2024
Chinese Academy of Medical Sciences & Peking Union Medical College
2023
University of Plymouth
2015-2020
NIHR Royal Brompton Cardiovascular Biomedical Research Unit
2019
Royal Brompton Hospital
2019
Central South University
2006-2011
National Institutes of Health
2010
Xiangya Hospital Central South University
2006
Imperial College London
2004
The successful development of amyloid-based biomarkers and tests for Alzheimer's disease (AD) represents an important milestone in AD diagnosis. However, two major limitations remain. Amyloid-based diagnostic provide limited information about the process they are unable to identify individuals with before significant amyloid-beta accumulation brain develops. objective this study is develop a method potential blood-based non-amyloid early detection. use blood attractive because it accessible...
Abstract Peptide toxins found in sea anemones venom have diverse properties that make them important research subjects the fields of pharmacology, neuroscience and biotechnology. This study used high-throughput sequencing technology to systematically analyze components tentacles, column, mesenterial filaments anemone Heteractis crispa , revealing diversity complexity different tissues. A total 1049 transcripts were identified categorized into 60 families, which 91.0% proteins 9.0% peptides....
Revealing the relationship between dysfunctional genes in blood and brain tissues from patients with Alzheimer's Disease (AD) will help us to understand pathology of this disease. In study, we conducted first such large systematic analysis identify differentially expressed (DEGs) samples 245 AD cases, 143 mild cognitive impairment (MCI) 182 healthy control subjects, then compare these DEGs samples. We evaluated our findings using two independent datasets performed a gene-based genome-wide...
Early detection of Alzheimer's disease (AD) will help researchers to better understand the and develop improved treatments. Recent developments have thus focused on identifying biomarkers for mild cognitive impairment due AD (MCI) during preclinical phase. The aim this pilot study is determine whether exhaled volatile organic compounds (VOCs) can be used as a non-invasive method distinguish controls from MCI, there are differences between MCI AD. gas chromatography—ion mobility spectrometry...
Blood-based biomarkers for Alzheimer’s disease would be very valuable because blood is a more accessible biofluid and suitable repeated sampling. However, currently there are no robust reliable blood-based practical diagnosis. In this study we used knowledge-based protein feature pool two novel support vector machine embedded selection methods to find panels consisting of three biomarkers. We validated these biomarker sets using another serum cohort an RNA profile from the brain. Our...
Parkinson's disease (PD) and Alzheimer's (AD) are the most common neurodegenerative diseases there is increasing evidence that they share physiological pathological links.Here we have conducted largest network analysis of PD AD based on their gene expressions in blood to date.We identified modules were not preserved between healthy control (HC) networks, important hub genes transcription factors (TFs) these modules.We highlighted module HCs was associated with insulin resistance, HDAC6 as a...
As the population ages, neurodegenerative diseases are becoming more prevalent, making it crucial to comprehend underlying disease mechanisms and identify biomarkers allow for early diagnosis effective screening clinical trials. Thanks advancements in gene expression profiling, is now possible search on an unprecedented scale.Here we applied a selection of five machine learning (ML) approaches blood-based Alzheimer's (AD) Parkinson's (PD) with application multiple feature methods. Based ROC...
Abstract Stellera chamaejasme ( S. ) is an important medicinal plant with heat-clearing, detoxifying, swelling and anti-inflammatory effects. At the same time, it also one of iconic plants natural grassland degradation in northwest China, playing a key role invasion process. Plant endophytes live healthy tissues can synthesize substances needed for growth, induce disease resistance host plants, enhance to environmental stress. Therefore, studying root great significance mining beneficial...
Obesity causes insulin resistance in target tissues - skeletal muscle, adipose tissue, liver and the brain. Insulin predisposes to type-2 diabetes (T2D) cardiovascular disease (CVD). Adipose tissue inflammation is an essential characteristic of obesity resistance. Neuronatin (Nnat) expression has been found be altered a number conditions related inflammatory or metabolic disturbance, but its physiological roles regulatory mechanisms brain, pancreatic islets other are not understood.We...
Abstract Glioblastoma multiforme (GBM) is the most aggressive and common primary central nervous system tumour. Despite extensive therapy, GBM patients usually have poor prognosis with a median survival of 12–15 months. Novel molecular biomarkers that can improve prediction help treatment strategies are still urgently required. Here we aimed to robustly identify gene signature panel for improved in patients. We identified 2166 differentially expressed genes (DEGs) using meta-analysis...
We aimed to determine the mutation yield and clinical applicability of "molecular autopsy" following sudden arrhythmic death syndrome (SADS) by validating utilizing low-cost high-throughput technologies: Fluidigm Access Array PCR-enrichment with Illumina HiSeq 2000 next generation sequencing (NGS). validated optimized NGS platform a subset 46 patients comparison Sanger coding exons major arrhythmia risk-genes (KCNQ1, KCNH2, SCN5A, KCNE1, KCNE2, RYR2). A combined large multi-ethnic...
Abstract As the population ages, neurodegenerative diseases (NDs) are becoming more prevalent, making it crucial to comprehend underlying disease mechanisms and identify biomarkers allow for early diagnosis effective screening clinical trials. Thanks advancements in gene expression profiling, is now possible search on an unprecedented scale. Here we applied machine learning (ML) approaches blood-based Alzheimer’s (AD) Parkinson’s (PD) with application of multiple feature selection methods....
Using cellophane adhesive-tape method, an investigation of demodicid infestation in 2160 students was carried out Changsha Huanan province, China. The results shows that the total rate 19.68%, there no significant difference between male and female students, university undergraduates higher than high school most them were infested with Demodex follicuorum. detection (51. 52%) for three-time examination (28.79%) one-time examination. false negative two-time 34 individuals demodicids was44.12%...