Perspectives and challenges in extracellular vesicles untargeted metabolomics analysis

Dudzik, Danuta; Macioszek, Szymon; Struck-Lewicka, Wiktoria; Kordalewska, Marta; Buszewska-Forajta, Magdalena; Waszczuk-Jankowska, Małgorzata; Wawrzyniak, Renata; Artymowicz, Małgorzata; Raczak-Gutknecht, Joanna; Siluk, Danuta; Markuszewski, Michał J.

doi:10.1016/j.trac.2021.116382

Cited by 34 publications

(21 citation statements)

References 118 publications

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“…Exosomes as nanosized vesicles, with 30–150 nm diameters and a phospholipid-bilayer membrane structure, are great subjects for liquid biopsy because they can be secreted by almost all kinds of cells and released into various body fluids, including urine, blood, tear, semen, etc . Up to now, many exosomal proteins and miRNAs have been regarded as promising cancer biomarkers, but few exosomal metabolites are exploited . Metabolites are downstream products of biochemical reaction networks based on transcription and translation and provide terminal information closer to phenotype than the genome and proteome, holding great potential in directly reflecting the pathophysiological status of an individual .…”

Section: Introductionmentioning

confidence: 99%

“…Chromatography–mass spectrometry is the classical and relatively mature technique for exosomal metabolic analysis, which features good separation and reproducibility, high resolution, and sensitivity . However, it puts forward high demands on exosome sample pretreatment and faces a great challenge when encountering the clinical disease metabolomics toward precision medicine, which requires rapid and high-throughput detection of thousands of biological samples. − Owing to the convenient sample preparation, trace sample consumption, short analysis time, high throughput, and accuracy, laser desorption/ionization mass spectrometry (LDI-MS) is attracting increasing interest in large-scale clinical applications. − LDI-MS is primitively designed for analyzing biological macromolecules with the assistance of traditional organic matrices such as 2,5-dihydroxybenzoic acid (DHB) and α-cyano-4-hydroxycinnamic acid (CHCA).…”

Section: Introductionmentioning

confidence: 99%

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Exosome Metabolic Patterns on Aptamer-Coupled Polymorphic Carbon for Precise Detection of Early Gastric Cancer

Chen

Huang

et al. 2022

ACS Nano

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Gastric cancer (GC) presents high mortality worldwide because of delayed diagnosis. Currently, exosome-based liquid biopsy has been applied in diagnosis and monitoring of diseases including cancers, whereas disease detection based on exosomes at the metabolic level is rarely reported. Herein, the specific aptamer-coupled Au-decorated polymorphic carbon (CoMPC@Au-Apt) is constructed for the capture of urinary exosomes from early GC patients and healthy controls (HCs) and the subsequent exosome metabolic pattern profiling without extra elution process. Combining with machine learning algorithm on all exosome metabolic patterns, the early GC patients are excellently discriminated from HCs, with an accuracy of 100% for both the discovery set and blind test. Ulteriorly, three key metabolic features with clear identities are determined as a biomarker panel, obtaining a more than 90% diagnostic accuracy for early GC in the discovery set and validation set. Moreover, the change law of the key metabolic features along with GC development is revealed through making a comparison among HCs and GC at early stage and advanced stage, manifesting their monitoring ability toward GC. This work illustrates the high specificity of exosomes and the great prospective of exosome metabolic analysis in disease diagnosis and monitoring, which will promote exosome-driven precision medicine toward practical clinical application.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Exosome Metabolic Patterns on Aptamer-Coupled Polymorphic Carbon for Precise Detection of Early Gastric Cancer

Chen

Huang

et al. 2022

ACS Nano

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“…As sEVs are very challenging technically and methodologically material, because of their nano-scale size, the proper choice of method of separation and analysis can lead to different results. In particular, results of more sophisticated methods such as metabolomics analysis or analysis of protein modification patterns are prone to change with different methodologies ( Freitas et al, 2019 ; Dudzik et al, 2021 ).…”

Section: Discussionmentioning

confidence: 99%

Small extracellular vesicles as a multicomponent biomarker platform in urinary tract carcinomas

Szeliski

Drewa

Pokrywczyńska

2022

Front. Mol. Biosci.

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Extracellular vesicles are a large group of nano-sized vesicles released by all cells. The variety of possible cargo (mRNAs, miRNAs, lncRNAs, proteins, and lipids) and the presence of surface proteins, signaling molecules, and receptor ligands make them a rich source of biomarkers for malignancy diagnosis. One of the groups gathering the most interest in cancer diagnostic applications is small extracellular vesicles (sEVs), with ≤200 nm diameter, mainly composed of exosomes. Many studies were conducted recently, evaluating the diagnostic potential of sEVs in urinary tract carcinomas (UTCs), discovering and clinically evaluating various classes of biomarkers. The amount of research concerning different types of UTCs understandably reflects their incidence. sEV cargos getting the most interest are non-coding RNAs (miRNA and lncRNA). However, implementation of other approaches such as metabolomic and proteomic analysis is also evaluated. The results of many studies indicate that sEVs have an essential role in the cancer process and possess many possible diagnostic and prognostic applications for UTC. The relative ease of obtaining biofluids rich in sEVs (urine and blood) confirms that sEVs are essential for UTC detection in the liquid biopsy approach. A noticeable rise in research quality is observed as more researchers are aware of the research standardization necessity, which is essential for considering the clinical application of their findings.

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“… It is unclear whether genes or EVs induce differences in metabolic profile in particular cells from other cells. There are still technical obstacles in isolating and purifying EVs from multiple body fluids for metabolite characterization [ 64 ]. …”

Section: Metabolic Changes In Tamsmentioning

confidence: 99%

Metabolic Reprogramming in Tumor-Associated Macrophages in the Ovarian Tumor Microenvironment

Kumar

Mittal

Gupta

et al. 2022

Cancers

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The interaction between tumor cells and macrophages in the tumor microenvironment plays an essential role in metabolic changes in macrophages and reprograms them towards a pro-tumorigenic phenotype. Increasing evidence indicates that macrophage metabolism is a highly complex process and may not be as simple as previously thought. Pro-inflammatory stimuli switch macrophages towards an M1-like phenotype and rely mainly on aerobic glycolysis and fatty acid synthesis, whereas anti-inflammatory stimuli switch macrophages towards an M2-like phenotype. M2-like macrophages depend more on oxidative phosphorylation (OXPHOS) and fatty acid oxidation. However, this metabolically reprogrammed phenotypic switch in macrophages remained a mystery for a while. Therefore, through this review, we tend to describe how macrophage immunometabolism determines macrophage phenotypes and functions in tumor microenvironments (TMEs). Furthermore, we have discussed how metabolic reprogramming in TAM can be used for therapeutic intervention and drug resistance in ovarian cancer.

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Perspectives and challenges in extracellular vesicles untargeted metabolomics analysis

Cited by 34 publications

References 118 publications

Exosome Metabolic Patterns on Aptamer-Coupled Polymorphic Carbon for Precise Detection of Early Gastric Cancer

Exosome Metabolic Patterns on Aptamer-Coupled Polymorphic Carbon for Precise Detection of Early Gastric Cancer

Small extracellular vesicles as a multicomponent biomarker platform in urinary tract carcinomas

Metabolic Reprogramming in Tumor-Associated Macrophages in the Ovarian Tumor Microenvironment

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