A5101982770- Metabolomics and Mass Spectrometry Studies
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Biosensors and Analytical Detection
- Advanced biosensing and bioanalysis techniques
- Advanced Biosensing Techniques and Applications
- 3D Printing in Biomedical Research
- Bone Tissue Engineering Materials
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Analytical Chemistry and Chromatography
- Traditional Chinese Medicine Studies
- Misinformation and Its Impacts
- RNA Research and Splicing
- Opinion Dynamics and Social Influence
- Cancer Cells and Metastasis
- Alzheimer's disease research and treatments
- Electrospun Nanofibers in Biomedical Applications
- Genetic Associations and Epidemiology
- Complex Network Analysis Techniques
- Kruppel-like factors research
- Neurological Complications and Syndromes
- Scheduling and Optimization Algorithms
- Ziziphus Jujuba Studies and Applications
- Genomics and Phylogenetic Studies
Shanghai Jiao Tong University
2016-2025
Jiangnan University
2025
Shanghai Ninth People's Hospital
2025
National Clinical Research
2025
Renji Hospital
2020-2024
State Key Laboratory of Oncogene and Related Genes
2020-2024
Shanghai Cancer Institute
2021-2023
First Hospital of Jilin University
2022
Jilin University
2015-2022
Chongqing University of Posts and Telecommunications
2022
Abstract Early cancer detection greatly increases the chances for successful treatment, but available diagnostics some tumours, including lung adenocarcinoma (LA), are limited. An ideal early-stage diagnosis of LA large-scale clinical use must address quick detection, low invasiveness, and high performance. Here, we conduct machine learning serum metabolic patterns to detect LA. We extract direct by optimized ferric particle-assisted laser desorption/ionization mass spectrometry within 1 s...
Previous studies have demonstrated altered metabolites in samples of Alzheimer's disease (AD) patients. However, the sample size from many them is relatively small and are limited. Here we applied a comprehensive platform using ultraperformance liquid chromatography-time-of-flight mass spectrometry gas to analyze plasma AD patients, amnestic mild cognitive impairment (aMCI) normal controls. A biomarker panel consisting six (arachidonic acid, N,N-dimethylglycine, thymine, glutamine, glutamic...
Current metabolic analysis is far from ideal to engage clinics and needs rationally designed materials device. Here we developed a novel plasmonic chip for clinical fingerprinting. We first constructed series of chips with gold nanoshells on the surface through controlled particle synthesis, dip-coating, sputtering mass production. integrated optimized microarrays laboratory automation micro-/nanoscaled experiments, which afforded direct high-performance fingerprinting by laser...
Abstract Cardiovascular diseases lead to 31.5% of deaths globally, and particularly myocardial infarction (MI) results in 7.4 million per year. Diagnosis MI monitoring for prognostic use are critical clinical management biomedical research, which require advanced tools with accuracy speed. Herein, we developed a plasmonic gold nano-island (pGold) chip assay diagnosis MI. On-chip microarray analysis serum biomarkers (e.g., cardiac troponin I) afforded up 130-fold enhancement near-infrared...
Detection of biomarkers in biosystems plays a key role advanced biodiagnostics for research and clinical use. Design new analytical platforms is challenging demand, addressing molecular capture subsequent quantitation. Herein, we developed label-free electrochemical sensor CD44 by ligand-protein interaction. We assembled carbon nanotube composites on the electrode to enhance electronic conductivity 6.2-fold reduce overpotential with shift 77 mV. conjugated hyaluronic acid (HA) surface...
Diagnosis of lung cancer is performed using a plasmonic gold ( pGOLD ) chip through multiplexed near‐infrared (NIR) detection carcino‐embryonic antigen (CEA), Cyfra21‐1, and neuron‐specific enolase (NSE) in the serum samples patients. With ≈50‐fold enhancement NIR fluorescence, microarray analysis CEA, NSE 10 μL human or whole blood on leads to markedly improved limit‐of‐quantification, limit‐of‐detection, reproducibility, higher diagnostic sensitivity specificity compared traditional...
Chemotherapy is a primary cancer treatment strategy, the monitoring of which critical to enhancing survival rate and quality life patients. However, current chemotherapy mainly relies on imaging tools with inefficient sensitivity radiation invasiveness. Herein, we develop bowl-shaped submicroreactor chip Au-loaded 3-aminophenol formaldehyde resin (denoted as APF-bowl&Au) specifically designed structure Au loading content. The obtained APF-bowl&Au, used matrix laser desorption/ionization mass...
Direct diagnosis and accurate assessment of metabolic syndrome (MetS) allow for prompt clinical interventions. However, traditional diagnostic strategies overlook the complex heterogeneity MetS. Here, we perform metabolomic analysis in 13,554 participants from natural cohort identify 26 hub plasma fingerprints (PMFs) associated with MetS its early identification (pre-MetS). By leveraging machine-learning algorithms, develop robust models pre-MetS convincing performance through independent...
Detection and inhibition of bacteria are universally required in clinics daily life for health care. Developing a dual-functional material is challenging demand, engaging advanced applications both defined bioanalysis targeted biotoxicity. Herein, magnetic silver nanoshells designed as multifunctional platform the detection bacteria. The optimized enable direct laser desorption/ionization mass spectrometry based metabolic analysis (≈10 µL-1 ), complex biofluids. serum infection process (0-10...
Stroke is a leading cause of mortality and disability worldwide, expected to result in 61 million disability-adjusted life-years 2020. Rapid diagnostics the core stroke management for early prevention medical treatment. Serum metabolic fingerprints (SMFs) reflect underlying disease progression, predictive patient phenotypes. Deep learning (DL) encoding SMFs with clinical indexes outperforms single biomarkers, while posing challenges poor prediction interpret by feature selection. Herein,...
Abstract Phenylketonuria (PKU) is the most common inherited metabolic disease in humans. Clinical screening of newborn heel blood samples for PKU costly and time‐consuming because it requires multiple procedures, like isotope labeling derivatization, subtype identification an additional urine sample. Delayed diagnosis PKU, or can result mental disability. Here, plasmonic silver nanoshells are used laser desorption/ionization mass spectrometry (MS) detection with label‐free assay by...
Abstract Detection of circulating tumor cells (CTCs) in patient's blood is an important approach to cancer diagnosis and prognosis, but has been challenging due the rarity cells. Here, a magnetic‐enhanced capturing CTCs onto plasmonic gold (pGOLD) chip, through microfluidic immunomagnetic method, demonstrated. Owing squashed/flattened morphology by magnetic forces resulting close proximity near‐infrared (NIR) labels on pGOLD surface, ultrahigh NIR fluorescence enhancement ≈50–120‐fold...
As a noninvasive blood testing, the detection of cell-free DNA (cfDNA) methylation in plasma has raised an increasing interest due to diagnostic applications. Although extensively used cfDNA analysis, bisulfite sequencing is less cost-effective. In this study, we investigated patterns lung cancer patients by MeDIP-seq. Compared with healthy individuals, 330 differentially methylated regions (DMRs) at gene promoters were identified 33 hypermethylated and 297 hypomethylated regions,...
Although mass spectrometry (MS) of metabolites has the potential to provide real-time monitoring patient status for diagnostic purposes, application MS is limited due sample treatment and data quality/reproducibility. Here, generation a deep stabilizer ultra-fast, label-free detection this method serum metabolic diagnosis coronary heart disease (CHD) are reported. Nanoparticle-assisted laser desorption/ionization-MS used achieve direct analysis trace unprocessed in seconds. Furthermore,...
In order to explore the differences of chemical constituents Paeoniae Radix Alba and Rubra, a qualitative analytical method liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry (HPLC-Q-TOF-MS/MS) was developed for identification multi-constituents an HPLC-DAD simultaneously determining 14 major compounds (gallic acid, protocatechuic paeoniflorin sulfonate, aldehyde, methyl gallate, oxypaeoniflorin, catechin, albiflorin, paeoniflorin, ethyl benzoic...
Abstract: Calcium phosphate-based biomaterials have been well studied in biomedical fields due to their outstanding chemical and biological properties which are similar the inorganic constituents bone tissue. In this study, amorphous calcium phosphate (ACP) nanoparticles were prepared by a precipitation method, used for preparation of ACP-poly(D,L-lactic acid) (ACP-PLA) nanofibers water-soluble drug-containing ACP-PLA electrospinning. Promoting encapsulation efficiency drugs electrospun...
Abstract Unruptured intracranial aneurysm (UIA) is a high‐risk cerebrovascular saccular dilatation, the effective medical management of which depends on high‐performance diagnosis. However, most UIAs are diagnosed incidentally during neurovascular imaging modalities, time‐consuming and harmful (e.g., radiation). Serum metabolic fingerprints promising alternative for early diagnosis UIA. Here, nanoparticle enhanced laser desorption/ionization mass spectrometry applied to obtain UIA‐specific...