Label-free monitoring of tissue biochemistry following traumatic brain injury using Raman spectroscopy

Surmacki, Jakub; Ansel-Bollepalli, Laura; Pischiutta, Francesca; Zanier, Elisa R.; Ercole, Ari; Bohndiek, Sarah E.

doi:10.1039/c6an02238c

Cited by 29 publications

(27 citation statements)

References 29 publications

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“…DNA, TyrNucleic acid, proteinTeng et al 15 ~853ν(C–C) proline, ring breath. TyrProtein (glycogen, collagen)De Gelder et al 31 Notingher et al 30 ~878ν(C–C), COH ringLipid, carbohydrateNotingher et al 30 ~922R-CH 3 L-alanineDe Gelder et al 31 ~936C–O–C linkage, C–C stretch., α-helixCarbohydrate, proteinDe Gelder et al 31 ~950CholesterolTeng et al 15 Surmacki et al 29 ~972CH 2 rock., C–C stretch., α-helixProtein, lipidMoritz et al 9 ~989β-sheetProtein, histamineDe Gelder et al 31 ~1001Phe ring breath., C–C skeletal (protein)Phenylalanine, proteinNotingher et al 30 Teng et al 15 ~1030δ(CH) bend., Tyr, PheAromatic compoundDe Gelder et al 31 Notingher et al 30 .~1079PO2 str., (C–C) stretch., C–ONucleic acid, lipid, carbohydratesNotingher et al 30 ~1101Symmetric phosphate stretch. (DNA)Nucleic acidTeng et al 15 ~1123CH PheCytochromeNotingher et al 30 Teng et al 15 ~1155CC/CN stretch.ProteinNotingher et al 30 Teng et al 15 ~1170C–H in-plane bend.…”

Section: Resultsmentioning

confidence: 99%

Raman spectral signature reflects transcriptomic features of antibiotic resistance in Escherichia coli

et al. 2018

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To be able to predict antibiotic resistance in bacteria from fast label-free microscopic observations would benefit a broad range of applications in the biological and biomedical fields. Here, we demonstrate the utility of label-free Raman spectroscopy in monitoring the type of resistance and the mode of action of acquired resistance in a bacterial population of Escherichia coli, in the absence of antibiotics. Our findings are reproducible. Moreover, we identified spectral regions that best predicted the modes of action and explored whether the Raman signatures could be linked to the genetic basis of acquired resistance. Spectral peak intensities significantly correlated (False Discovery Rate, p < 0.05) with the gene expression of some genes contributing to antibiotic resistance genes. These results suggest that the acquisition of antibiotic resistance leads to broad metabolic effects reflected through Raman spectral signatures and gene expression changes, hinting at a possible relation between these two layers of complementary information.

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Section: Resultsmentioning

confidence: 99%

Raman spectral signature reflects transcriptomic features of antibiotic resistance in Escherichia coli

et al. 2018

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“…Raman spectroscopy has been applied to models of brain injury from radiation ( 142 ) and penetrating trauma ( 143 ) as well as in a model of peripheral nerve injury ( 144 ). More recently, RS has been used to characterize chemical progression and resolution in a model of focal TBI ( 145 ). Raman spectra were recorded from various regions in the cortex in contusional and pericontusional tissue as well as from the contralateral hemisphere in specimens taken at 2 and 7 days post injury as well as from sham controls.…”

Section: Novel Spatially Resolved Technologiesmentioning

confidence: 99%

Current and Emerging Technologies for Probing Molecular Signatures of Traumatic Brain Injury

et al. 2017

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Traumatic brain injury (TBI) is understood as an interplay between the initial injury, subsequent secondary injuries, and a complex host response all of which are highly heterogeneous. An understanding of the underlying biology suggests a number of windows where mechanistically inspired interventions could be targeted. Unfortunately, biologically plausible therapies have to-date failed to translate into clinical practice. While a number of stereotypical pathways are now understood to be involved, current clinical characterization is too crude for it to be possible to characterize the biological phenotype in a truly mechanistically meaningful way. In this review, we examine current and emerging technologies for fuller biochemical characterization by the simultaneous measurement of multiple, diverse biomarkers. We describe how clinically available techniques such as cerebral microdialysis can be leveraged to give mechanistic insights into TBI pathobiology and how multiplex proteomic and metabolomic techniques can give a more complete description of the underlying biology. We also describe spatially resolved label-free multiplex techniques capable of probing structural differences in chemical signatures. Finally, we touch on the bioinformatics challenges that result from the acquisition of such large amounts of chemical data in the search for a more mechanistically complete description of the TBI phenotype.

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“…However, this paves the way for developing an all fiber‐based portable Raman/OCT probe , which uses a comparable NA for both modalities. Using such a compact probe, this combined technique would allow more efficient biological monitoring of traumatic CNS injury over time more so than Raman spectroscopy alone due to the ability to screen tissue at deeper depths guided by OCT . Furthermore, as clinical diagnosis of brain and spinal cord pathologies already rely upon magnetic resonance imaging (MRI), inclusion of WM‐SORS/OCT into this platform will add additional noninvasive investigations at depth, allowing for more precise monitoring of disease processes.…”

Section: Discussionmentioning

confidence: 99%

Depth‐resolved multimodal imaging: Wavelength modulated spatially offset Raman spectroscopy with optical coherence tomography

Chen

Mas

Forbes

et al. 2017

Journal of Biophotonics

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A major challenge in biophotonics is multimodal imaging to obtain both morphological and molecular information at depth. We demonstrate a hybrid approach integrating optical coherence tomography (OCT) with wavelength modulated spatially offset Raman spectroscopy (WM‐SORS). With depth colocalization obtained from the OCT, we can penetrate 1.2‐mm deep into strong scattering media (lard) to acquire up to a 14‐fold enhancement of a Raman signal from a hidden target (polystyrene) with a spatial offset. Our approach is capable of detecting both Raman and OCT signals for pharmaceutical particles embedded in turbid media and revealing the white matter at depth within a 0.6‐mm thick brain tissue layer. This depth resolved label‐free multimodal approach is a powerful route to analyze complex biomedical samples.

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Label-free monitoring of tissue biochemistry following traumatic brain injury using Raman spectroscopy

Abstract: Acute tissue biochemical response to traumatic brain injury is revealed using Raman spectroscopy.

Cited by 29 publications

References 29 publications

Raman spectral signature reflects transcriptomic features of antibiotic resistance in Escherichia coli

Raman spectral signature reflects transcriptomic features of antibiotic resistance in Escherichia coli

Current and Emerging Technologies for Probing Molecular Signatures of Traumatic Brain Injury

Depth‐resolved multimodal imaging: Wavelength modulated spatially offset Raman spectroscopy with optical coherence tomography

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