Hierarchical Channeled Graphitized Nanoarchitecture as a Diagnostic Platform for Maternal Fever Warning.

Area of Science:

• Nanomaterials Science
• Clinical Diagnostics
• Glycomics

Background:

• Accurate differentiation between infectious chorioamnionitis-associated fever (CAM) and non-infectious epidural-related maternal fever (ERMF) is clinically significant.
• Current glycomic analyses for disease biomarkers are complex and time-consuming.
• Advanced nanomaterials are crucial for developing effective nano-diagnostic platforms.

Purpose of the Study:

• To design a novel nano-diagnostic platform for sensitive glycomic analysis.
• To enable rapid and cost-effective differentiation of maternal fever types.
• To expand the application of nano-diagnostics in bio-detection.

Main Methods:

• A hierarchically channeled graphitized nanoarchitecture (HPGC-Z67) was designed with high graphitization and interconnected multi-scale channels.
• The HPGC-Z67 platform was utilized for N-glycan retention and mass transfer in plasma samples.
• N-glycan profiles from 150 plasma samples were extracted and analyzed.

Main Results:

• The HPGC-Z67 platform reduced processing time by ~25 minutes and cost by ~CNY 30 per sample compared to traditional methods.
• Two pivotal N-glycans, IF-sensitive and n-IF-sensitive, were identified for fever differentiation.
• The platform achieved high diagnostic accuracy with AUC values of 0.965 (training) and 0.914 (validation) for differentiating ERMF, CAM, and healthy controls.

Conclusions:

• The HPGC-Z67 nano-diagnostic platform offers a sensitive, rapid, and cost-effective solution for glycomic analysis.
• This platform facilitates precise differentiation of infectious and non-infectious maternal fever, aiding clinical decision-making.
• The study advances glycomics for improved diagnostics and timely intervention in obstetric care.