A5101608451- Metabolomics and Mass Spectrometry Studies
- Mass Spectrometry Techniques and Applications
- Advanced Proteomics Techniques and Applications
- Advanced biosensing and bioanalysis techniques
- Biosensors and Analytical Detection
- Organic Electronics and Photovoltaics
- Biochemical Analysis and Sensing Techniques
- Ion Channels and Receptors
- Ferroptosis and cancer prognosis
- Electromagnetic wave absorption materials
- SARS-CoV-2 detection and testing
- Molecular Biology Techniques and Applications
- Ocular Oncology and Treatments
- Luminescence and Fluorescent Materials
- RNA Interference and Gene Delivery
- Advanced Antenna and Metasurface Technologies
- Postharvest Quality and Shelf Life Management
- Wnt/β-catenin signaling in development and cancer
- Cancer Genomics and Diagnostics
- Synthesis and Properties of Aromatic Compounds
- Single-cell and spatial transcriptomics
- Molecular Sensors and Ion Detection
- Photochromic and Fluorescence Chemistry
- Cancer, Hypoxia, and Metabolism
- melanin and skin pigmentation
Renji Hospital
2020-2024
Shanghai Jiao Tong University
2012-2024
Fuzhou University
2019-2024
Xiamen University
2024
Ministry of Education
2024
State Key Laboratory of Oncogene and Related Genes
2020-2023
Shanghai Cancer Institute
2020-2023
Beijing YouAn Hospital
2023
Capital Medical University
2023
Inner Mongolia University
2022-2023
Abstract Gastric cancer (GC) is a multifactorial process, accompanied by alterations in metabolic pathways. Non‐invasive profiling facilitates GC diagnosis at early stage leading to an improved prognostic outcome. Herein, mesoporous PdPtAu alloys are designed characterize the profiles human blood. The elemental composition optimized with heterogeneous surface plasmonic resonance, offering preferred charge transfer for photoinduced desorption/ionization and enhanced photothermal conversion...
Significance Breast cancer (BrCa) is the most common worldwide, and high-performance metabolic analysis emerging in diagnosis prognosis of BrCa. Here, we used nanoparticle-enhanced laser desorption/ionization mass spectrometry to record serum fingerprints BrCa seconds, achieving high reproducibility low consumption direct detection. Our analytical method, combined with aid machine learning algorithms, was demonstrated provide diagnostic efficiency accuracy 88.8% desirable prognostic...
Metabolic biomarkers are expected to decode the phenotype of gastric cancer (GC) and lead high-performance blood tests towards GC diagnosis prognosis. We attempted develop diagnostic prognostic models for based on plasma metabolic information.We conducted a large-scale, multicentre study comprising 1944 participants from 7 centres in retrospective cohort 264 prospective cohort. Discovery verification phases were through machine learning Cox regression fingerprints (PMFs) obtained by...
Three series of stable, neutral, π-extended bispentalene derivatives, with two pentalenes fused to a central benzene or naphthalene moiety, have been prepared through modified double carbopalladation cascade reaction. While these chromophores feature skeletons [4n+2] π-electron perimeters, the 8 pentalene subunits strongly influence bonding and spectral properties. 1H NMR spectra showed large upfield shifts protons in moieties, comparable antiaromatic monobenzopentalenes. Further...
Abstract Diagnostics is the key in screening and treatment of cancer. As an emerging tool precision medicine, metabolic analysis detects end products pathways, thus more distal than proteomic/genetic analysis. However, far from ideal clinical diagnosis due to sample complexity metabolite abundance patient specimens. A further challenge real‐time accurate tracking effect, e.g., radiotherapy. Here, Pd–Au synthetic alloys are reported for mass‐spectrometry‐based fingerprinting analysis, toward...
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,...
Ovarian reserve (OR) and fertility are critical in women's healthcare. Clinical methods for encoding OR rely on the combination of tests, which cannot serve as a multi-functional platform with limited information from specific biofluids. Herein, metabolic fingerprinting follicular fluid (MFFF) follicles is performed, using particle-assisted laser desorption/ionization mass spectrometry (PALDI-MS) to encode fertility. PALDI-MS allows efficient MFFF, showing fast speed (≈30 s), high...
Abstract Endometrial cancer (EC) stands as the most prevalent gynecological tumor in women worldwide. Notably, differentiation diagnosis of abnormity detected by ultrasound findings (e.g., thickened endometrium or mass uterine cavity) is essential and remains challenging clinical practice. Herein, we identified a metabolic biomarker panel for EC using machine learning high-performance serum fingerprints (SMFs) validated biological function. We first recorded SMFs 191 204 Non-EC subjects via...
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,...
Abstract The most common intraocular pediatric malignancy, retinoblastoma (RB), accounts for ≈10% of cancer in children. Efficient monitoring can enhance living quality patients and 5‐year survival ratio RB up to 95%. However, is still insufficient regions with limited resources the mortality may even reach over 70% such areas. Here, an platform by machine learning aqueous humor metabolic fingerprinting (AH‐MF) developed, using nanoparticle enhanced laser desorption/ionization mass...
Cancers are driven by a variety of somatic gene mutations and identifying these enables the development novel target drugs. We have sought to identify abnormalities in Wnt pathway-related genes that sensitive inhibitor treatment. examined Patient Derived Xenograft (PDX) RNA samples found new R-Spondin 2 (RSPO2) transcript fusions with EMC2, PVT1 or HNF4G genes. These fusion events were identified about 1.4% digestive system cancer samples. then oncogenic effects RSPO2-EMC2 confirmed it can...
A number of recently developed mass spectrometry (MS)‐based metabolic fingerprinting analyses are promoting analysis systems into practical clinical applications, including but not limited to disease diagnosis. Herein, recent cutting‐edge research on spectrometry‐based analytical methodology and applications described. These developments resolve challenges regarding the MS‐based systems, such as rapid signal readout, high throughput direct MS analysis, intelligent data mining complex...
The Wnt signaling pathway is involved in tumorigenesis and various stages of tumor progression, including the epithelial-mesenchymal transition, metastasis, drug resistance. Many efforts have been made to develop drugs targeting this pathway. CGX1321 a porcupine inhibitor that can effectively block ligand synthesis currently undergoing clinical trials. However, may frequently cause adverse events normal tissues, such as intestine skin. Formulation inside liposomes could enable preferential...
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...
Abstract Esophageal squamous cell carcinoma (ESCC) is a highly prevalent and aggressive malignancy, timely diagnosis of ESCC contributes to an increased cancer survival rate. However, current detection methods for mainly rely on endoscopic examination, limited by relatively low participation Herein, ferric‐particle‐enhanced laser desorption/ionization mass spectrometry (FPELDI MS) utilized record the serum metabolic fingerprints (SMFs) from retrospective cohort (523 non‐ESCC participants 462...
Abstract Cancer stem cells (CSC) that may account for only a small fraction of tumor mass were found to play crucial roles during initiating, progression, and metastasis. However, they are usually difficult be treated notoriously resilient drug eradication. In this study, we aimed at the Wnt signaling characteristic CSCs designed liposomal delivery system target CSCs. Liposomes decorated with RSPO1 on surface constructed specific interactions pathway coreceptor LGR5. Doxorubicin carried by...