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Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Detection Methods Human Health Effects Sign in to save

Label-free human-disease characterization through circulating cell free DNA analysis using Raman Spectroscopy

Research Square (Research Square) 2023 1 citation ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 40 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Vassilis Papadakis, Klytaimnistra Katsara, Klytaimnistra Katsara, Klytaimnistra Katsara, Klytaimnistra Katsara, Klytaimnistra Katsara, Klytaimnistra Katsara, Vassilis Papadakis, Christina Cheimonidi, George Kenanakis, George Kenanakis, Klytaimnistra Katsara, Klytaimnistra Katsara, Christina Cheimonidi, George Kenanakis, Μαρία Παναγοπούλου, Vassilis Papadakis, Μαρία Παναγοπούλου, George Kenanakis, George Kenanakis, Vassilis Papadakis, Vassilis Papadakis, Vassilis Papadakis, Makrina Karaglani, Makrina Karaglani, Vassilis Papadakis, Paraskevi Apalaki, Vassilis Papadakis, George Kenanakis, Paraskevi Apalaki, Paraskevi Apalaki, Paraskevi Apalaki, George Kenanakis, Klytaimnistra Katsara, Vassilis Papadakis, Klytaimnistra Katsara, George Kenanakis, George Kenanakis, Vassilis Papadakis, Θεοδόσιος Θεοδοσίου, Θεοδόσιος Θεοδοσίου, Theodoros C Constnantinidis, Vassilis Papadakis, Theodoros C Constnantinidis, George A. Garinis, Εkaterini Chatzaki Εkaterini Chatzaki

Summary

Not relevant to microplastics — this study uses Raman spectroscopy to analyse cell-free DNA in blood as a diagnostic tool for cancer and diabetes, with no connection to microplastic research.

Models

Abstract Circulating cell free DNA (ccfDNA) is a liquid biopsy biomaterial attracting significant attention for the implementation of precision medicine diagnostics. Deeper knowledge related to its structure and biology would enable the development of such applications. In this study, we employ Raman Spectroscopy to unravel the biomolecular profile of human ccfDNA in health and disease. We established reference Raman spectra of ccfDNA samples from healthy males and females, from different conditions including cancer and diabetes, extracting information about their chemical composition. Comparative observations showed a distinct spectral pattern in ccfDNA from breast cancer patients taking neoadjuvant therapy. Raman analysis of ccfDNA from healthy, prediabetic and diabetic males uncovered some differences in their biomolecular fingerprint. We also studied ccfDNA released from human benign and cancer cell lines and compared it to their respective gDNA, confirming mirroring its cellular origin. Overall, we explored for the first time Raman Spectroscopy in the study of ccfDNA and provide spectra of samples from different sources. Our findings introduce Raman Spectroscopy as a new approach to implementing liquid biopsy diagnostics worthing further elaboration.

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