Designed Nanomaterials‐Assisted Proteomics and Metabolomics Analysis for In Vitro Diagnosis

Wang, Yanhui; Li, Rongxin; Shu, Weikang; Chen, Xiaonan; Lin, Yingying; Wan, Jingjing

doi:10.1002/smtd.202301192

Cited by 9 publications

(3 citation statements)

References 170 publications

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“…RNA as used in our study has also been applied to predict lung cancer (23). Recently, advanced proteomics enabled the use of new metabolic biomarkers (24) that have also been applied to diagnose COPD exacerbations (25).…”

Section: Discussionmentioning

confidence: 99%

A mRNA panel for differentiation between acute exacerbation or pneumonia in COPD patients

Bertrams,

Wilhelm,

Veeger

et al. 2024

Front. Med.

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IntroductionPatients suffering from chronic obstructive pulmonary disease (COPD) are prone to acute exacerbations (AECOPD) or community acquired pneumonia (CAP), both posing severe risk of morbidity and mortality. There is no available biomarker that correctly separates AECOPD from COPD. However, because CAP and AECOPD differ in aetiology, treatment and prognosis, their discrimination would be important.MethodsThis study analysed the ability of selected candidate transcripts from peripheral blood mononuclear cells (PBMCs) to differentiate between patients with AECOPD, COPD & CAP, and CAP without pre-existing COPD.ResultsIn a previous study, we identified differentially regulated genes between CAP and AECOPD in PBMCs. In the present new cohort, we tested the potential of selected candidate PBMC transcripts to differentiate at early time points AECOPD, CAP+COPD, and CAP without pre-existing COPD. Expression of YWHAG, E2F1 and TDRD9 held predictive power: This gene set predicted diseases markedly better (model accuracy up to 100%) than classical clinical markers like CRP, lymphocyte count and neutrophil count (model accuracy up to 82%).DiscussionIn summary, in our cohort expression levels of YWHAG, E2F1 and TDRD9 differentiated with high accuracy between COPD patients suffering from acute exacerbation or CAP.

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Section: Discussionmentioning

confidence: 99%

A mRNA panel for differentiation between acute exacerbation or pneumonia in COPD patients

Bertrams,

Wilhelm,

Veeger

et al. 2024

Front. Med.

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“…Magnetic particles have been used as a matrix for the metabolic encoding of diverse diseases owing to their strong UV laser absorption, low thermal conductivity, stable structure, and low experimental cost. , Metal–organic frameworks (MOFs) are also considered for their exceptional capability in facilitating charge transfer during the ionization process, and the metal node crucially influences interactions with reactants, especially in forming metal cation adducts. − Additionally, the initially well-recognized outstanding property of magnetic particles lies in their strong magnetic responsiveness to external magnetic fields. This property has been widely employed to simplify the sample pretreatment process, making a substantial contribution to the feasibility of large-scale clinical applications . Combining the magnetic responsiveness and the unique interactions of high-valent metal cations in MOFs with phosphate groups, magnetic MOFs have found extensive application in the complex sample pretreatment for the analysis of phosphorylated proteins.…”

Section: Introductionmentioning

confidence: 99%

Designed Directional Growth of Ti-Metal–Organic Frameworks for Decoding Alzheimer’s Disease-Specific Exosome Metabolites

Chen,

Zhang,

Yang

et al. 2024

Anal. Chem.

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Exosomes, a growing focus for liquid biopsies, contain diverse molecular cargos. In particular, exosome metabolites with valuable information have exhibited great potential for improving the efficiency of liquid biopsies for addressing complex medical conditions. In this work, we design the directional growth of Ti-metal−organic frameworks on polar-functionalized magnetic particles. This design facilitates the rapid synergistic capture of exosomes with the assistance of an external magnetic field and additionally synergistically enhances the ionization of their metabolites during mass spectrometry detection. Benefiting from this dual synergistic effect, we identified three high-performance exosome metabolites through the differential comparison of a large number of serum samples from individuals with Alzheimer's disease (AD) and normal cognition. Notably, the accuracy of AD identification ranges from 93.18 to 100% using a single exosome metabolite and reaches a flawless 100% with three metabolites. These findings emphasize the transformative potential of this work to enhance the precision and reliability of AD diagnosis, ushering in a new era of improved diagnostic accuracy.

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“…In recent years, nanomaterials have become an increasingly used sorbent for the extraction of biomolecules in in vitro diagnostics. By appropriate adjustment of size, z-potential, and surface functionalization, nanomaterials enable preconcentration, selective separation, and ionisation analysis of proteins and metabolites in proteomics and metabolomics [43,44].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Cyanocobalamin (Vitamin B12) Sorption onto Mesoporous Superparamagnetic Iron Oxide Nanoparticles

Flieger,

Żuk,

Pasieczna-Patkowska

et al. 2024

Molecules

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The techniques used to detect and quantify cyanocobalamin (vitamin B12) vary considerably in terms of detection sensitivity, from the most sensitive, based on radioisotopes and mass spectrometry (MS) with limits of detection (LOD) in fg mL−1, to fluorescence (FL) and surface plasmon resonance (SPR) biosensors with LOD values in the range of a few µg mL−1. For accurate quantification of an analyte present at trace levels in complex biological matrices, a selective separation and enrichment step is required to overcome matrix interferences and ensure sufficient detection sensitivity. In this study, iron oxide magnetic nanoparticles (IONPs) were used for the extraction and initial preconcentration of cyanocobalamin (vitamin B12). In the dependence of the magnetization on the H-field (hysteresis loop), no coercivity and remanence values were found at 300 K, indicating the superparamagnetic properties of the tested IONPs. Perfluorinated acids were used as amphiphilic agents to allow the sorption of cyanocobalamin onto the IONPs. FT-IR/ATR spectroscopy was used to confirm the sorption of cyanocobalamin on the IONPs. The influence of the addition of a homologous series of perfluorinated acids such as trifluoroacetic acid (TFAA), heptafluorobutyric acid (HFBA), and trichloroacetic acid (TCAA) to the extraction mixture was tested considering their type, mass, and time required for effective sorption. The adsorption kinetics and isotherm, described by the Freundlich and Langmuir equations, were analyzed. The maximum adsorption capacity (qm) exceeded 6 mg g−1 and was 8.9 mg g−1 and 7.7 mg g−1 for HFBA and TCAA, respectively, as the most efficient additives. After the desorption process using aqueous KH2PO4 solution, the sample was finally analyzed spectrophotometrically and chromatographically. The IONP-based method was successfully applied for the isolation of cyanocobalamin from human urine samples. The results showed that the developed approach is simple, cheap, accurate, and efficient for the determination of traces of cyanocobalamin in biological matrices.

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Designed Nanomaterials‐Assisted Proteomics and Metabolomics Analysis for In Vitro Diagnosis

Cited by 9 publications

References 170 publications

A mRNA panel for differentiation between acute exacerbation or pneumonia in COPD patients

A mRNA panel for differentiation between acute exacerbation or pneumonia in COPD patients

Designed Directional Growth of Ti-Metal–Organic Frameworks for Decoding Alzheimer’s Disease-Specific Exosome Metabolites

Optimization of Cyanocobalamin (Vitamin B12) Sorption onto Mesoporous Superparamagnetic Iron Oxide Nanoparticles

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