Serum Metabolic Fingerprints on Bowl-Shaped Submicroreactor Chip for Chemotherapy Monitoring

Abstract

Chemotherapy is a primary cancer treatment strategy, the monitoring of which is critical to enhancing the survival rate and quality of life of cancer patients. However, current chemotherapy monitoring mainly relies on imaging tools with inefficient sensitivity and radiation invasiveness. Herein, we develop the bowl-shaped submicroreactor chip of Au-loaded 3-aminophenol formaldehyde resin (denoted as APF-bowl&Au) with a specifically designed structure and Au loading content. The obtained APF-bowl&Au, used as the matrix of laser desorption/ionization mass spectrometry (LDI MS), possesses an enhanced localized electromagnetic field for strengthened small metabolite detection. The APF-bowl&Au enables the extraction of serum metabolic fingerprints (SMFs), and machine learning of the SMFs achieves chemotherapy monitoring of ovarian cancer with area-under-the-curve (AUC) of 0.81–0.98. Furthermore, a serum metabolic biomarker panel is preliminarily identified, exhibiting gradual changes as the chemotherapy cycles proceed. This work provides insights into the development of nanochips and contributes to a universal detection platform for chemotherapy monitoring.

Multilevel Hollow Phenolic Resin Nanoreactors with Precise Metal Nanoparticles Spatial Location toward Promising Heterogeneous Hydrogenations

“…Moreover, the reducing capacity of the hydroxymethyl groups is not sufficient to reduce Pd 2+ to form PdNPs (Figure S17, Supporting Information). [ 50,51 ] Therefore, our developed method is very effective for spatial location controllable synthesis of AuNPs and PdNPs, selectively. We also investigated the inductively coupled palsma optical emission spectroscopy (ICP‐OES) (Table S2, Supporting Information) and X‐ray diffraction (XRD) (Figure S18, Supporting Information) for those bimetallic nanomaterials, whose detailed analyses are shown in the supporting information.…”

Construction of a ternary component chip with enhanced desorption efficiency for laser desorption/ionization mass spectrometry based metabolic fingerprinting

“…Among them, matrices are considered the most fundamental parameters in metabolic analysis, in which inorganic materials with stable structures and UV-absorbing are preferred organic compounds with strong background interference (Noh et al, 2017;Kim et al, 2021). Existing matrices are mostly based on plasmonic metal (Du et al, 2019;Wang et al, 2021;Yin et al, 2022), metal oxides (Kim et al, 2020), carbon (Coffinier et al, 2012), and silicon (Gao et al, 2016;Korte et al, 2016). Typically, metals (e.g., Au) with pre-selected structures display surface plasmon resonance and generate hot carriers under laser irradiation, serving as an emerging class of matrix materials in chip design (Sun et al, 2018;Wang et al, 2020).…”

Integrative Serum Metabolic Fingerprints Based Multi‐Modal Platforms for Lung Adenocarcinoma Early Detection and Pulmonary Nodule Classification

“…The development and occurrence of diseases, especially cancer, consist of complicated biological mechanisms, in which single modal data is insufficient for analyzing the pathogenic factors. Multi‐omics analyses will not only be able to reveal the complex mechanisms underlying cancer progression and development, [ 14 ] but also have been proposed as the key to promoting precision medicine in the clinic, such as diagnostic/therapeutic biomarker discovery, [ 15 ] treatment response evaluation, [ 16 ] and survival prediction. [ 17 ] Particularly, a recent prospective and interventional study demonstrated that blood tests with positron emission tomography‐computed tomography can localize several types of cancers safely and precisely for individuals who were not previously known to have cancer, [ 18 ] proofing the clinical potential of integrating biological biomarkers with radiological features for early cancer screening.…”