{"doi":"10.1101/2025.01.30.635446","title":"SHINE: SERS-based Hepatotoxicity detection using Inference from Nanoscale Extracellular vesicle content","abstract":"Abstract Extracellular vesicles (EV) are becoming crucial tools in liquid biopsy, diagnostics, and therapeutic applications, yet their nanoscale characterization remains challenging. In this context, the detection of drug-induced liver injury, i . e ., hepatotoxicity, through extracellular vesicle molecular content remains an unexplored frontier. To this end, we present a label-free surface-enhanced Raman (SERS) spectroscopy approach, which provides rapid EV content analysis under ten minutes and requires only 1.3 microliters of sample. Using hepatic cultures as a model, our platform captures distinct and reproducible EV molecular changes in response to acetaminophen-induced hepatoxicity. Our platform achieves exceptional accuracy with root mean squared error values as low as 3.80%, establishing strong correlations between EV spectra and conventional toxicity biomarkers. Unlike previous EV-SERS studies limited to vesicle identification and disease markers, this approach reveals EV drug-response signatures strongly correlated with conventional toxicity markers. These findings establish EVs as dynamic reporters of cellular drug responses and demonstrate use of SERS-based EV detection of hepatotoxicity.","journal":"bioRxiv (Cold Spring Harbor Laboratory)","year":2025,"id":557225,"datarank":0.10397207708399181,"base_score":0.6931471805599453,"endowment":0.6931471805599453,"self_citation_contribution":0.10397207708399181,"citation_network_contribution":0.0,"self_endowment_contribution":0.10397207708399181,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9544,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1457531,"name":"Luke Boudreau","orcid":null,"position":1,"is_corresponding":false},{"id":1457254,"name":"Hülya Torun","orcid":"0000-0001-5939-4006","position":2,"is_corresponding":false},{"id":345822,"name":"Letao Fan","orcid":"0000-0001-5328-8050","position":3,"is_corresponding":false},{"id":1409265,"name":"Uğur Aygün","orcid":"0000-0003-2044-5026","position":4,"is_corresponding":false},{"id":1457532,"name":"Ayse Aslihan Gokaltun","orcid":null,"position":5,"is_corresponding":false},{"id":600836,"name":"Demir Akin","orcid":"0000-0002-2296-4674","position":6,"is_corresponding":false},{"id":465503,"name":"O. Berk Usta","orcid":"0000-0001-9328-568X","position":7,"is_corresponding":false},{"id":228637,"name":"Utkan Demirci","orcid":"0000-0003-2784-1590","position":8,"is_corresponding":false},{"id":1021529,"name":"Uğur Parlatan","orcid":"0000-0001-7106-5993","position":0,"is_corresponding":true}],"reference_count":51,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T02:55:17.435961Z","pmid":"39974950","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}