Identification of amyloid beta in small extracellular vesicles <i>via</i> Raman spectroscopy

Imanbekova, Meruyert; Suarasan, Sorina; Rojalin, Tatu; Mizenko, Rachel R.; Hilt, Silvia; Mathur, Meghna; Lépine, P; Nicouleau, Michaël; Mohamed, Nguyen Vi; Durcan, Thomas M.; Carney, Randy P.; Voss, John C.; Wachsmann‐Hogiu, Sebastian

doi:10.1039/d1na00330e

Cited by 21 publications

(23 citation statements)

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“…Unsupervised ML algorithms are not trained on prelabeled datasets and therefore must interpret data patterns on their own. Clustering and PCA are examples of unsupervised ML that are used in EVs research [ 156 , 64 , 157 , 168 , 176 , 204 ]. The interesting aspect of unsupervised learning is the potential to discover previously unknown underlying patterns within datasets that the algorithms have identified without human input.…”

Section: Discussionmentioning

confidence: 99%

“… (A) Nanoparticle tracking analysis; (A1) basic setup of the NTA measurement system; (A2) typical micrograph of EVs in the imaging chamber; (A3) graphical representation of NTA histogram of neuronal EVs (adapted with permission from [ 64 ]). (B) Dynamic light scattering; (B1) schematic of the optical configuration; (B2) representation of DLS results of scattering of small and large EVs, and their correlation function; (B3) DLS histogram of particle size distribution (adapted with permission from [ 65 ]).…”

Section: Particle Counting Sizing and Morphology Characterizationmentioning

confidence: 99%

“…The scatter plot of the first two principal components for each EVs group; (D3) Analysis of the “high-wavenumber region” 2800–3100 cm −1 of normalized Raman spectra. The PCA scatter plot of the first two principal components (adapted with permission from [ 64 ]).…”

Section: Characterization Of Evs Molecular Contentmentioning

confidence: 99%

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Recent advances in optical label-free characterization of extracellular vesicles

et al. 2022

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Extracellular vesicles (EVs) are complex biological nanoparticles endogenously secreted by all eukaryotic cells. EVs carry a specific molecular cargo of proteins, lipids, and nucleic acids derived from cells of origin and play a significant role in the physiology and pathology of cells, organs, and organisms. Upon release, they may be found in different body fluids that can be easily accessed via noninvasive methodologies. Due to the unique information encoded in their molecular cargo, they may reflect the state of the parent cell and therefore EVs are recognized as a rich source of biomarkers for early diagnostics involving liquid biopsy. However, body fluids contain a mixture of EVs released by different types of healthy and diseased cells, making the detection of the EVs of interest very challenging. Recent research efforts have been focused on the detection and characterization of diagnostically relevant subpopulations of EVs, with emphasis on label-free methods that simplify sample preparation and are free of interfering signals. Therefore, in this paper, we review the recent progress of the label-free optical methods employed for the detection, counting, and morphological and chemical characterization of EVs. We will first briefly discuss the biology and functions of EVs, and then introduce different optical label-free techniques for rapid, precise, and nondestructive characterization of EVs such as nanoparticle tracking analysis, dynamic light scattering, atomic force microscopy, surface plasmon resonance spectroscopy, Raman spectroscopy, and SERS spectroscopy. In the end, we will discuss their applications in the detection of neurodegenerative diseases and cancer and provide an outlook on the future impact and challenges of these technologies to the field of liquid biopsy via EVs.

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Section: Discussionmentioning

confidence: 99%

Section: Particle Counting Sizing and Morphology Characterizationmentioning

confidence: 99%

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Recent advances in optical label-free characterization of extracellular vesicles

et al. 2022

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“…This technique has been employed in the study of the aggregation and de-position processes of amyloid-β, mediated by metal ions, such as Zn 2+ and Cu 2+ [11,27], which are found at high concentration in amyloid plaques. More precisely, RRS allowed to investigate the conformational properties of Cu 2+amyloid-β complexes, which were proposed to play a key role at the initial stages of aggregation [26]. Furthermore, through ab initio calculations of RRS signals it has been possible to identify and characterize fibril-like conformers with an aggregation mechanism mediated by Al 3+ [28].…”

Section: Resonance Raman Spectroscopy (Rrs)mentioning

confidence: 99%

“…They have been detected in different biological fluids and are now subject of extensive investigation because of their rich protein content involved in a variety of pathological processes. RS has recently been proven as an effective tool for the characterization of sEVs isolated from MC65 cells, and associated with the toxic Aβ 42 peptide [26]. Furthermore, the involvement of Aβ 42 in sEVs membrane fluidity, due to an alteration to the fatty acid chain lengths, has been identified.…”

Section: Introductionmentioning

confidence: 99%

Raman Spectroscopy Techniques for the Investigation and Diagnosis of Alzheimer's Disease

Polykretis¹,

Banchelli²,

D’Andrea³

et al. 2022

Front. Biosci. (Schol Ed)

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Alzheimer's disease (AD) is the most common neurodegenerative disorder, resulting in memory loss, cognitive decline, bodily function impairment, and finally death. The growing number of people suffering from AD increasingly urges the development of effective early diagnosis and monitoring techniques. Here, we review the most recent developments in the field of Raman-based techniques, which have shown a significant potential in identifying AD by detecting specific biomarkers in biological fluids, as well as in providing fundamental insights into key molecules involved in the disease progression or in the analysis of histological specimens of patients with AD. These techniques comprise spontaneous and resonant Raman spectroscopies, exploit plasmon-or fiber-enhanced effects, such as surface-, tip-or fiber-enhanced Raman spectroscopies, or involve non-linear techniques like coherent Raman scattering. The scientific efforts employed up to now as well as the rapid technological advancements in optical detection instruments (spectrometers, lasers, substrates for analysis, etc.) and the diffusion of advanced data processing methods suggest a leading role of Raman techniques in the perspective of a preclinical or clinical detection of AD.

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Resolution of MoS₂ Nanosheets‐Induced Pulmonary Inflammation Driven by Nanoscale Intracellular Transformation and Extracellular‐Vesicle Shuttles

et al. 2023

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Pulmonary exposure to some engineered nanomaterials can cause chronic lesions as a result of unresolved inflammation. Among 2D nanomaterials and graphene, MoS2 has received tremendous attention in optoelectronics and nanomedicine. Here an integrated approach is proposed to follow up the transformation of MoS2 nanosheets at the nanoscale and assesss their impact on lung inflammation status over 1 month after a single inhalation in mice. Analysis of immune cells, alveolar macrophages, extracellular vesicles, and cytokine profiling in bronchoalveolar lavage fluid (BALF) shows that MoS2 nanosheets induced initiation of lung inflammation. However, the inflammation is rapidly resolved despite the persistence of various biotransformed molybdenum‐based nanostructures in the alveolar macrophages and the extracellular vesicles for up to 1 month. Using in situ liquid phase transmission electron microscopy experiments, the dynamics of MoS2 nanosheets transformation triggered by reactive oxygen species could be evidenced. Three main transformation mechanisms are observed directly at the nanoscale level: 1) scrolling of the dispersed sheets leading to the formation of nanoscrolls and folded patches, 2) etching releasing soluble MoO4−, and 3) oxidation generating oxidized sheet fragments. Extracellular vesicles released in BALF are also identified as a potential shuttle of MoS2 nanostructures and their degradation products and more importantly as mediators of inflammation resolution.

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Identification of amyloid beta in small extracellular vesicles via Raman spectroscopy

Abstract: The hallmark of Alzheimer’s disease (AD) pathogenesis is believed to be the production and deposition of amyloid-beta (Aβ) peptide into extracellular plaques. Existing research indicates that extracellular vesicles (EVs) can...

Cited by 21 publications

References 99 publications

Recent advances in optical label-free characterization of extracellular vesicles

Recent advances in optical label-free characterization of extracellular vesicles

Raman Spectroscopy Techniques for the Investigation and Diagnosis of Alzheimer's Disease

Resolution of MoS₂ Nanosheets‐Induced Pulmonary Inflammation Driven by Nanoscale Intracellular Transformation and Extracellular‐Vesicle Shuttles

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Identification of amyloid beta in small extracellular vesicles via Raman spectroscopy

Abstract: The hallmark of Alzheimer’s disease (AD) pathogenesis is believed to be the production and deposition of amyloid-beta (Aβ) peptide into extracellular plaques. Existing research indicates that extracellular vesicles (EVs) can...

Cited by 21 publications

References 99 publications

Recent advances in optical label-free characterization of extracellular vesicles

Recent advances in optical label-free characterization of extracellular vesicles

Raman Spectroscopy Techniques for the Investigation and Diagnosis of Alzheimer's Disease

Resolution of MoS2 Nanosheets‐Induced Pulmonary Inflammation Driven by Nanoscale Intracellular Transformation and Extracellular‐Vesicle Shuttles

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Resolution of MoS₂ Nanosheets‐Induced Pulmonary Inflammation Driven by Nanoscale Intracellular Transformation and Extracellular‐Vesicle Shuttles