Raman Microspectroscopy Identifies Fibrotic Tissues in Collagen-Related Disorders Via Deconvoluted Collagen Type I Spectra

Becker, Lucas; Lu, Chuan-En; Montes-Mojarro, Ivonne A.; Layland, Shannon L.; Khalil, Suzan; Nsair, Ali; Duffy, Garry P.; Fend, Falko; Marzi, J.; Schenke-Layland, Katja

doi:10.2139/ssrn.4294703

Cited by 2 publications

(3 citation statements)

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“…Other methods like MALDI MS/MS, FTIR, and NMR to identify the metabolites in OSMF have also been reported in clinical samples 41–43 . Previous studies have also shown changes in the Raman spectra in various other fibrotic conditions 44,45 . In the current study, we investigated the alterations of metabolites and lipids in ANE‐treated fibroblast cells using an established bioanalytical technique (LCMS) and compared and integrated it with the results of RMS.…”

Section: Discussionmentioning

confidence: 96%

“…[41][42][43] Previous studies have also shown changes in the Raman spectra in various other fibrotic conditions. 44,45 In the current study, we investigated the alterations of metabolites and lipids in ANE-treated fibroblast cells using an established bioanalytical technique (LCMS) and compared and integrated it with the results of RMS. The spectra obtained from the RMS are elaborate, especially with a plethora of biomolecules in the cells.…”

Section: Discussionmentioning

confidence: 99%

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A comprehensive analysis of metabolomics and lipidomics in areca nut mediated oral submucous fibrosis progression through LCMS and Raman spectroscopy

Verma,

Adhikari,

Singh

et al. 2024

J Raman Spectroscopy

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Habitual consumption of areca/betel nut in Southeast Asia has been associated with oral submucous fibrosis (OSMF) and its malignant transformation to oral squamous cell carcinoma. The current study aimed to assess the molecular alterations in fibroblast cell lines after treatment with areca nut. Areca nut extract (ANE) was prepared and characterized for its active ingredient, arecoline. ANE‐treated cells were subjected to cell viability, proliferation, migration, morphologic changes, and transcript of OSMF genes (col1a1, col1a2, hsp47, timp1, timp2, timp3, and timp4). Further, liquid chromatography–mass spectrometry (LCMS) of cell lysate and Raman microspectroscopy (RMS) of fixed cells were performed for metabolomics/lipidomics and biomolecular alterations in the nucleus and periphery of ANE‐treated cells. We compared and integrated the data from both techniques and observed that the cells treated with ANE mimicked OSMF and could be used as an in vitro model. LCMS showed a significant alteration in 17 metabolites and 165 lipid molecules in the cells treated with ANE. Further, 40 molecules in the nucleus and 29 in the periphery were found to be altered in these cells when subjected to RMS. Molecules associated with pathways such as the transfer of acetyl groups into mitochondria, amino sugar metabolism, and the Warburg effect were modulated the most upon ANE treatment. Acetyl CoA was found to be common in most of the altered pathways. Besides, the pathways affecting carbohydrate metabolism were also altered significantly. Targeting these molecules and pathways can help to prevent the malignant transformation of OSMF.

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Section: Discussionmentioning

confidence: 96%

Section: Discussionmentioning

confidence: 99%

A comprehensive analysis of metabolomics and lipidomics in areca nut mediated oral submucous fibrosis progression through LCMS and Raman spectroscopy

Verma,

Adhikari,

Singh

et al. 2024

J Raman Spectroscopy

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“…Further semiquantitative analysis by integrating the intensities of individual Raman bands revealed significantly different peaks predominantly located at 749 and 1128 cm −1 (cytochrome C), 854, 925, and 1659 cm −1 (collagen), 1003 cm −1 (phenylalanine), 1083 cm −1 (P-O stretching vibrations; DNA/phospholipids), 1309 and 1449 cm −1 (lipids), and 1365 and 1586 cm −1 (vitamin A) (Figure 1D). [27][28][29][30][31][32][33] It showed that with the prolongation of CCl 4 dosing in mice, the Raman peaks assigned to collagen progressively intensified, which echoed the foregoing biochemical results, mirroring the cascading exacerbation of fibrotic injury. Analogous incremental enhancement was ascribed to the Raman peaks of lipids and cytochrome C, suggesting potential lipid accumulation and mitochondrial dysfunction in fibrotic livers.…”

Section: Assessment Of Hepatic Fibrosis Progression In Mice By Raman ...mentioning

confidence: 92%

Label‐free Raman spectroscopy for the assessment of liver fibrosis

Cao,

Ma,

et al. 2023

MedComm – Future Medicine

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The enormous incidence and dire consequences of liver fibrosis highlight the need for biologically plausible markers as readouts of pathology and drug efficacy. The classic reference standard for diagnosis of liver fibrosis is histopathological examinations. However, it is burdened by time‐consuming steps, subjectivity, and the static nature of information. Raman spectroscopy is a rapid, objective, and label‐free analytical tool that provides numerous molecular information. Thus, we utilized Raman spectroscopy to characterize the pathological features of liver fibrosis and to evaluate the efficacy of drugs (obeticholic acid [OCA] and gigantol [YS30]). Principal component analysis with subsequent linear discriminant analysis could basically discriminate between fibrotic mice and healthy controls and showed that animals with OCA or YS30 treatment resembled those with vehicle treatment. Moreover, we identified several potential biomarkers, including cytochrome C, for liver fibrosis development based on their Raman “fingerprints.” Raman imaging provided quantitative and spatial distribution of collagen and cytochrome C in situ. In addition, we demonstrated the role of OCA or YS30 in revitalizing mitochondrial function to alleviate liver fibrosis using Raman spectroscopy. Collectively, Raman spectroscopy succeeded in tracking liver fibrosis progression, assessing drug efficacy, and yielding significant molecular information useful for quantitatively linking pathological assessment and mechanism of drug action.

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Raman Microspectroscopy Identifies Fibrotic Tissues in Collagen-Related Disorders Via Deconvoluted Collagen Type I Spectra

Cited by 2 publications

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A comprehensive analysis of metabolomics and lipidomics in areca nut mediated oral submucous fibrosis progression through LCMS and Raman spectroscopy

A comprehensive analysis of metabolomics and lipidomics in areca nut mediated oral submucous fibrosis progression through LCMS and Raman spectroscopy

Label‐free Raman spectroscopy for the assessment of liver fibrosis

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