In Vitro Diagnostic Examination and Prognosis Surveillance by Hierarchical Heterojunction-Assisted Metabolic Analysis

High-throughput metabolic analysis based on laser desorption/ionization mass spectrometry exhibits broad prospects in the field of large-scale precise medicine, for which the assisted ionization ability of the matrix becomes a determining step. In this work, the gold-decorated hierarchical metal oxide heterojunctions (dubbed Au/HMOHs) are proposed as a matrix for extracting urine metabolic fingerprints (UMFs) of primary nephrotic syndrome (PNS). The hierarchical heterojunctions are simply derived from metal-organic framework (MOF)-on-MOF hybrids, and the native built-in electric field from heterojunctions plus the extra Au decoration provides remarkable ionization efficiency, attaining high-quality UMFs. These UMFs are employed to realize precise diagnosis, subtype classification, and effective prognosis evaluation of PNS by appropriate machine learning, all with 100% accurate ratios. Moreover, a high-confidence marker panel for PNS diagnosis is constructed. Interestingly, all panel metabolite markers present obviously uniform downregulation in PNS compared to healthy controls, shedding light on mechanism exploration and pathway analysis. This work drives the application of metabolomics toward precision medicine.

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:94

Enthalten in:

Analytical chemistry - 94(2022), 29 vom: 26. Juli, Seite 10497-10505

Sprache:

Englisch

Beteiligte Personen:

Shi, Fangying [VerfasserIn]
Zhou, Jie [VerfasserIn]
Wu, Yonglei [VerfasserIn]
Hu, Xufang [VerfasserIn]
Xie, Qionghong [VerfasserIn]
Deng, Chunhui [VerfasserIn]
Sun, Nianrong [VerfasserIn]

Links:

Volltext

Themen:

7440-57-5
Biomarkers
Gold
Journal Article
Metal-Organic Frameworks
Research Support, Non-U.S. Gov't

Anmerkungen:

Date Completed 27.07.2022

Date Revised 03.08.2022

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1021/acs.analchem.2c01784

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM343596660