Skip to main navigation Skip to search Skip to main content

An Amorphous Nanocomposite for Dual-Mode Metabolic Fingerprinting and Diagnosis of Adolescent Depressive Disorder

  • Yanhui Wang
  • , Ziheng Qi
  • , Yinbing Zhao
  • , Rongxin Li*
  • , Hong Xu
  • , Wei Huang
  • , Guohua Li
  • , Ziqi Luo
  • , Xiaonan Chen
  • , Yongjie Zhou*
  • , Weikang Shu*
  • , Jingjing Wan*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Adolescent depressive disorder (ADD) is a chronic and debilitating mental disorder, yet its diagnosis still relies on subjective assessment. An efficient and cost-effective diagnostic tool for ADD is urgently needed to improve clinical management. Herein, amorphous MIL-88B@nitrogen/sulfur co-doped carbon-dots (aMIL-88B@NSCDs) are designed as a dual-ion mode matrix for comprehensive metabolic profiling of ADD. The aMIL-88B@NSCDs with integrated physicochemical properties facilitate the efficient dual-ionization of metabolites, enabling the selective ionization of metabolites from bio-samples. It exhibits a 5–12-fold signal enhancement over NSCDs (a well-established dual-ion mode matrix) and shows high reproducibility with coefficients of variation ≤ 10%. Next, we directly extracted the dual-ion mode serum metabolic fingerprints (dual-SMFs) with 432 features (defined as signal-to-noise ratio (S/N) > 3, 190/242 in positive/negative ion mode) within seconds. Based on the dual-SMFs, we constructed a high-performance diagnostic model for ADD, with an area under the curve (AUC) of 0.926 (0.760/0.734 in positive/negative ion mode). This work not only contributes to the development of the dual-ion mode matrices but also provides an efficient and comprehensive strategy for the precision clinical management of ADD.

Original languageEnglish
Article numbere22705
JournalAngewandte Chemie - International Edition
Volume65
Issue number14
DOIs
StatePublished - 27 Mar 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • MALDI-MS
  • adolescent depressive disorder
  • amorphous materials
  • dual-ion mode detection

Fingerprint

Dive into the research topics of 'An Amorphous Nanocomposite for Dual-Mode Metabolic Fingerprinting and Diagnosis of Adolescent Depressive Disorder'. Together they form a unique fingerprint.

Cite this