A5025275571- Metabolomics and Mass Spectrometry Studies
- Mass Spectrometry Techniques and Applications
- Advanced Proteomics Techniques and Applications
- Advanced biosensing and bioanalysis techniques
- Biosensors and Analytical Detection
- Hormonal and reproductive studies
- Cancer, Hypoxia, and Metabolism
- Ocular Oncology and Treatments
- Molecular Biology Techniques and Applications
- Analytical chemistry methods development
- Isotope Analysis in Ecology
- Advanced Nanomaterials in Catalysis
- Cancer, Lipids, and Metabolism
- Blood transfusion and management
- Innovative Microfluidic and Catalytic Techniques Innovation
- Machine Learning in Materials Science
- Extracellular vesicles in disease
- Ferroptosis and cancer prognosis
- Gold and Silver Nanoparticles Synthesis and Applications
- Advanced Biosensing Techniques and Applications
- Hematopoietic Stem Cell Transplantation
- Ovarian function and disorders
- Microfluidic and Bio-sensing Technologies
- Single-cell and spatial transcriptomics
- Collagen: Extraction and Characterization
Renji Hospital
2021-2025
Shanghai Jiao Tong University
2019-2025
State Key Laboratory of Oncogene and Related Genes
2021-2025
Shanghai Cancer Institute
2023-2025
Shanghai Chest Hospital
2024
XinHua Hospital
2024
Xiamen University
2020
Guangdong Ocean University
2019
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...
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...
Cancers heavily threaten human life; therefore, a high-accuracy diagnosis is vital to protect beings from the suffering of cancers. While biopsies and imaging methods are widely used as current technologies for cancer diagnosis, new detection platform by metabolic analysis expected due significant advantages fast, simple, cost-effectiveness with high body tolerance. However, signal molecule biomarkers too weak acquire diagnosis. Herein, precisely engineered metal-organic frameworks laser...
Timely screening of neuromyelitis optica spectrum disorder (NMOSD) and differential diagnosis from myelin oligodendrocyte glycoprotein associated (MOGAD) are the keys to improving quality life patients. Metabolic disturbance occurs with development NMOSD. Still, advanced tools required probe metabolic phenotype Here, we developed a fast nanoparticle-enhanced laser desorption/ionization mass spectrometry assay for multiplexing fingerprints (MFs) trace plasma cerebrospinal fluid (CSF) samples...
Serum united urine metabolic analysis comprehensively reveals the disease status for kidney diseases in particular. Thus, precise and convenient acquisition of molecular information from biofluids is vitally important clinical diagnosis biomarker discovery. Laser desorption/ionization mass spectrometry (LDI-MS) presents various advantages analysis; however, there remain challenges ionization efficiency MS signal reproducibility. Herein, we constructed a self-assembled hyperbranched black...
Abstract Effective detection of bio‐molecules relies on the precise design and preparation materials, particularly in laser desorption/ionization mass spectrometry (LDI‐MS). Despite significant advancements substrate performance single‐structured substrates remains suboptimal for LDI‐MS analysis complex systems. Herein, designer Au@SiO 2 @ZrO core‐shell are developed LDI‐MS‐based early diagnosis prognosis pancreatic cancer (PC). Through controlling Au core size ZrO shell crystallization,...
Abstract Mass spectrometry (MS) promises small‐metabolite profiling as a tool of the future and calls for comprehensive understanding key procedures to enhance its capability. Herein, we studied cation adduction fragmentation small metabolites by combination theoretical experimental approaches, via nanoparticle‐assisted laser desorption/ionization (LDI)‐MS MS/MS. We calculated energies conformers atomic bond orders establish rules cation–metabolite affinity multiple adductions in charge...
Abstract Polycystic ovary syndrome (PCOS) is a common endocrine disease regulated by metabolic disorders, the effective intervention of which depends on diverse phenotypes (e.g., insulin resistance). Serum fingerprint (SMF) holds promise in characterizing pathogenesis stress related to diseases; yet, PCOS diagnosis and phenotyping are time‐consuming challenging due lack an integrated tool. Here, nanoparticle‐enhanced laser desorption/ionization mass spectrometry platform introduced for...
Glaucoma is a common optic neuropathy disease affecting over 76 million people. Both timely diagnosis and progression monitoring are critical but challenging. Conventional characterization of glaucoma needs combination methods, calling for tedious procedures experienced doctors. Herein, platform through machine learning tear metabolic fingerprinting (TMF) using nanoparticle enhanced laser desorption-ionization mass spectrometry built. Direct TMF obtained noninvasively, with fast speed high...
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 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 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...
Abstract Engineering of materials is crucial for the advanced detection bio‐molecules, particularly in laser desorption/ionization mass spectrometry (LDI‐MS). However, effective screening with enhanced LDI performance remains challenging due to lack engineered substrate materials. Herein, thermally ferric yolk‐shells are designed metabolic cervical cancer (CC) using vaginal secretion. A facile thermal engineering strategy developed prepare amorphous integrated properties. Notably, mesoporous...
Abstract Defined hierarchical materials promise cell analysis and call for application‐driven design in practical use. The further issue is to develop advanced devices efficient label‐free capture with minimum instrumentation. Herein, the of beads reported capture. Silica nanoparticles (size ≈15 nm) are coated onto silica spheres ≈200 achieve nanoscale surface roughness, then rough combined microbeads (≈150–1000 µm diameter) assemble structures. These built via electrostatic interaction,...
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...
Renal cell carcinoma (RCC) is a substantial pathology of the urinary system with growing prevalence rate. However, current clinical methods have limitations for managing RCC due to heterogeneity manifestations disease. Metabolic analyses are regarded as preferred noninvasive approach in clinics, which can substantially benefit characterization RCC. This study constructs nanoparticle-enhanced laser desorption ionization mass spectrometry (NELDI MS) analyze metabolic fingerprints renal tumors...
Serum is one of the most commonly used biofluids for biomarker exploration. Some studies examine serum directly, while others focus on specific components like small extracellular vesicles (sEVs), which are lipid-bilayer encapsulated particles carrying a variety molecular cargos. However, diagnostic value sEVs versus sEVs-depleted fractions (EV-free serum) early cancer detection unclear. In study, size exclusion chromatography (SEC) employed to separate from prostate (PCa) suspects into...
Abstract Diabetic retinopathy (DR) is a microvascular complication of diabetes, affecting 34.6% diabetes patients worldwide. Early detection and timely treatment can effectively improve the prognosis DR. Metabolomic analysis provides powerful tool for studying pathophysiological processes. Conducting metabolomic analyses on DR‐related biofluids helps identify differential metabolic expressions during disease progression, thereby discovering potential biomarkers to support clinical diagnosis...
Abstract With the rising incidence of benign prostatic hyperplasia (BPH) due to societal aging, accurate and early diagnosis has become increasingly critical. The clinical challenges associated with BPH diagnosis, particularly lack specific biomarkers that can differentiate from other causes lower urinary tract symptoms (LUTS). Here, matrix‐assisted laser desorption/ionization mass spectrometry (MALDI MS) metabolomic detection platform utilizing urine serum samples is applied explore...
Pulmonary hypertension (PH) often leads to poor survival outcomes and encompasses diverse subtypes with distinct underlying causes. Specifically, PH resulting from fibrosing mediastinitis (FM-PH) presents significant diagnostic challenges due nonspecific symptoms overlap of clinical characterization other subtypes, leading frequent misdiagnosis delayed treatment. Moreover, the complex procedures impose a burden on FM-PH patients, many whom already experience mobility difficulties. This study...
Abstract Bloodstream infections (BSIs) annually claim millions of lives, contributing to one‐third global mortality. Mortality rates predominantly depend on the duration between symptom onset and administration appropriate antibiotics. Clinical protocols for identifying pathogens typically take a 2–5 day wait blood culture, due limited pathogen load present in at initial stage. Currently, stratifying into high‐risk subpopulations administering prompt therapy rely separate platforms. Here,...
Abstract Prostate cancer (PCa) is the second most common in males worldwide. The Gleason scoring system, which classifies pathological growth pattern of cancer, considered one important prognostic factors for PCa. Compared to indolent PCa, PCa with high score (h‐GS GS ≥ 8) has greater clinical significance due its aggressiveness and poor prognosis. It crucial establish a rapid, non‐invasive diagnostic modality decipher patients h‐GS as early possible. In this study, ferric...