Diagnosis of Epilepsy by Machine Learning of High-Performance Plasma Metabolic Fingerprinting DOI
Xiaonan Chen,

Wendi Yu,

Yinbing Zhao

et al.

Talanta, Journal Year: 2024, Volume and Issue: 277, P. 126328 - 126328

Published: May 28, 2024

Language: Английский

Critical Suitability Evaluation of Caco-2 Cells for Gut-on-a-Chip DOI
Xiatong Pan, Jun Chen,

Junlei Han

et al.

ACS Applied Materials & Interfaces, Journal Year: 2024, Volume and Issue: 16(38), P. 51139 - 51149

Published: Sept. 12, 2024

Currently, culturing Caco-2 cells in a Gut-on-a-chip (GOC) is well-accepted for developing intestinal disease models and drug screening. However, were found to overexpress surface proteins (e.g., P-gp) compared with the normal epithelial

Language: Английский

Citations

5

Metabolic Fingerprint of Dual Body Fluids Deciphers Diabetic Retinopathy DOI Open Access
Yihan Wang,

S H Li,

Tong Li

et al.

Small, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 28, 2025

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 treatment. Here, an innovative workflow vitreous liquid established, machine learning‐based DR platform integrating fingerprint (VL‐MF) plasma (P‐MF) derived via nanoparticle enhanced laser desorption/ionization mass spectrometry developed. Direct VL‐MF P‐MF are obtained with desirable reproducibility (coefficient variation, CV <5%) remarkable speed (3 s per sample), distinguished from healthy controls applying dual biofluid‐MF area under curve (AUC) 0.957. Moreover, biomarker candidate panel AUC 0.945 constructed related pathways identified by metabolomics pathway (MetPA). This work offers multi‐biofluid that not only contribute but also provide solid references other applications.

Language: Английский

Citations

0

Porous PtCu Alloys Decode Plasma Metabolic Fingerprints for the Recognition of Severe Community‐Acquired Pneumonia DOI Open Access
Kexin Meng, Yao Shen, Dongni Hou

et al.

Advanced Healthcare Materials, Journal Year: 2025, Volume and Issue: unknown

Published: March 3, 2025

Abstract Rapid and accurate recognition of severe community‐acquired pneumonia (CAP) would facilitate the optimal intervention. Currently, diagnosis CAP is commonly based on criteria established by Infectious Disease Society America (IDSA)/American Thoracic (ATS), which include 2 primary 9 secondary criteria, making process cumbersome time‐consuming. Here, a porous PtCu alloy‐assisted laser desorption/ionization mass spectrometry (LDI MS) designed for extraction plasma metabolic fingerprints (PMFs), coupling with machine learning CAP. The alloys particle size exhibit excellent sensitivity, reproducibility, universality metabolite detection, due to structure, promising photoelectric effect, improved melting surface structure. Further, nanoplatform successfully records PMFs within seconds, using only 0.5 µL native plasma. Machine 69 individuals produces diagnostic model an area under curve (AUC) 0.832. Particularly, three biomarker panel demonstrates enhanced efficiency (AUC 0.846), outperforming reported biomarkers 0.560–0.770). Notably, can be completed in ≈35 min. work affords rapid precise method management through analysis.

Language: Английский

Citations

0

Field Detection of Multiple Infectious Diseases with Naked Eye Using Plasmonic-Enhanced Fluorescent Nanoparticles DOI
Xuan Tan,

Jingkai Yang,

Ying Liu

et al.

Analytical Chemistry, Journal Year: 2025, Volume and Issue: unknown

Published: March 30, 2025

Accurately diagnosing infectious diseases in a resource-limited setting is major challenge. Plasmonic materials, via localized surface plasmon resonance (LSPR), have greatly enhanced fluorescence signal and detection sensitivity. However, traditional plasmonic-enhanced methods largely rely on near-infrared or visible-light fluorophores with small Stokes shift, limiting naked-eye visibility without filters. In this study, we developed novel plasmonic silver film (pSilverF) to enhance large allowing for improved biomarker sensitivity under observation. Integrated bright fluorescent nanoparticles, designed multiplexed assay detecting Hepatitis C Virus (HCV), B (HBV), Human Immunodeficiency (HIV) antibodies, achieving sensitivities down 0.0032, 0.023, 0.168 NCU/mL, respectively. cohort of 68 clinical samples, our method achieved 100% specificity HIV HCV 96% HBV detection. Notably, the results can be visualized by naked eye directly captured standard mobile phone camera any modification analysis using RGB image splitting. This platform demonstrated potential field multiple simple settings, providing useful tool disease control communities areas limited medical resources.

Language: Английский

Citations

0

High throughput recurrent pregnancy loss screening: urine metabolic fingerprints via LDI-MS and machine learning DOI

Yijiao Qu,

Ming Chen,

Mufeng Han

et al.

The Analyst, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

We present a rapid, high-throughput analytical method using PS@Fe 3 O 4 -NH 2 magnetic beads as matrix for detection of urinary metabolite fingerprints in RPL patients via laser desorption/ionization mass spectrometry combined with machine learning.

Language: Английский

Citations

0

MALDI-TOF mass spectrometric immunoassay of multiple tumor biomarkers for non-small cell lung cancer screening DOI
Meng Wang, Chengxiang Zhu, Nan Feng

et al.

Talanta, Journal Year: 2025, Volume and Issue: unknown, P. 127550 - 127550

Published: Jan. 1, 2025

Language: Английский

Citations

0

Synergistic effect of Ag/MXene for efficient protein ionization in paper spray mass spectrometry DOI

Lulu Yu,

Yuping Wei, Yanhua Lei

et al.

Chemical Communications, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Ti3C2Tx (MXene) was coated with silver (Ag) nanoparticles using a bio-inspired surface coating method. The resulting composite material, Ag/MXene (AgMX), applied in paper spray ionization mass spectrometry (PSI-MS) for efficient protein ionization. intensity of obtained by AgMX PSI-MS enhanced about 3-6 times when compared to conventional PSI. demonstrated strong potential quantitative analysis and exhibited good salt tolerance.

Language: Английский

Citations

0

Single Test‐Based Diagnosis and Subtyping of Pulmonary Hypertension Caused by Fibrosing Mediastinitis Using Plasma Metabolic Analysis DOI Creative Commons
Yating Zhao,

Chunmeng Ding,

Hongling Su

et al.

Advanced Science, Journal Year: 2025, Volume and Issue: unknown

Published: March 6, 2025

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 represents single test-based diagnosis FM-PH, using plasma metabolites obtained through ferric particle-enhanced laser desorption/ionization mass spectrometry analysis. Distinct metabolic alterations in are identified compared healthy controls achieving an area under curve (AUC) 0.987 for 0.728 differentiating subtypes. By addressing existing gaps strategies, this research highlights potential analysis elucidating landscape PH.

Language: Английский

Citations

0

Plasmonic alloys enhance metabolic fingerprints for rapid diagnosis and classification of myocardial infarction DOI
Ziyue Zhang, Yong Li, Ruimin Wang

et al.

Nano Today, Journal Year: 2025, Volume and Issue: 62, P. 102702 - 102702

Published: March 10, 2025

Language: Английский

Citations

0

Multifunctional Bimetallic Nanoreactors for Integrative Host‐Pathogen Analysis Toward Bloodstream Infection Diagnosis DOI
Ayizekeranmu Yiming,

Yuewei Zhao,

Hongwei Meng

et al.

Advanced Functional Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 27, 2025

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, multifunctional bimetallic nanoreactors are designed develop rapid platform integrative analysis both host characteristics directly from samples. These enable colorimetric quantitation immune responses mass spectrometric profiling metabolic fingerprints. The predicts BSI 100% suspected cases achieves 91.67% match species identification within 60 min sample‐to‐answer time, holding promise implementation clinical practice.

Language: Английский

Citations

0