ArticleJournal of biomedical optics2020
Surface-enhanced Raman spectroscopy of tears: toward a diagnostic tool for neurodegenerative disease identification.
Article in Journal of biomedical optics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.
- Diagnosis accuracy of Raman spectroscopy in the diagnosis of breast cancer: a meta-analysis.Analytical and bioanalytical chemistry · 2022Pooled it
- Gold- or Silver-Nanoparticle SERS Platforms for Plasma-Based Diagnostics and AI-Driven Analysis.Sensors (Basel, Switzerland) · 2026Review
- Review
- Recent advances in Raman probes for multiplexed bioimaging.Inflammation and regeneration · 2025Review
- Article
- Rapid detection of drug abuse via tear analysis using surface enhanced Raman spectroscopy and machine learning.Scientific reports · 2025Article
- Synergistic effects of surface-enhanced Raman spectroscopy and enzyme-linked immunoassays in diagnosis of Alzheimer's disease, mild cognitive impairment, and late-life depression.Frontiers in neurology · 2025Article
- Protein Misfolding in the Pathogenesis and Diagnosis of Neurodegenerative Diseases (Review).Sovremennye tekhnologii v meditsine · 2025Review
- Utility of Raman Spectroscopy in Pulmonary Medicine.Advances in respiratory medicine · 2024Review
- Surface-Enhanced Raman Spectroscopy Combined with Multivariate Analysis for Fingerprinting Clinically Similar Fibromyalgia and Long COVID Syndromes.Biomedicines · 2024Article
- Review
- Multi-branch attention Raman network and surface-enhanced Raman spectroscopy for the classification of neurological disorders.Biomedical optics express · 2024Article
- Advancing Brain Research through Surface-Enhanced Raman Spectroscopy (SERS): Current Applications and Future Prospects.Biosensors · 2024Review
- Applications of Raman spectroscopy in ocular biofluid detection.Frontiers in chemistry · 2024Review
- Applications of Raman spectroscopy in the diagnosis and monitoring of neurodegenerative diseases.Frontiers in neuroscience · 2024Review
- Article
- Raman-Based Techniques in Medical Applications for Diagnostic Tasks: A Review.International journal of molecular sciences · 2023Review
- The Emerging Role of Raman Spectroscopy as an Omics Approach for Metabolic Profiling and Biomarker Detection toward Precision Medicine.Chemical reviews · 2023Review
- A Review on Integrated ZnO-Based SERS Biosensors and Their Potential in Detecting Biomarkers of Neurodegenerative Diseases.Biosensors · 2023Review
- Review: Emerging Eye-Based Diagnostic Technologies for Traumatic Brain Injury.IEEE reviews in biomedical engineering · 2023Review
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
significanceA noninvasive method based on surface-enhanced Raman spectroscopy (SERS) of tears was proposed as a support for diagnosing neurodegenerative pathologies, including different forms of dementia and Alzheimer's disease (AD). In this field, timely and reliable discrimination and diagnosis are critical aspects for choosing a valid medical therapy, and new methods are highly required.
aimThe aim is to evince spectral differences in SERS response of human tears from AD affected, mild cognitive impaired (MCI), and healthy control (Ctr) subjects. APPROACH: Human tears were characterized by SERS coupled with multivariate data analysis. Thirty-one informed subjects (Ctr, MCI, and AD) were considered.
resultsAverage SERS spectra from Ctr, MCI, and AD subjects evidenced differences related to lactoferrin and lysozyme protein components. Quantitative changes were also observed by determining the intensity ratio between selected bands. We also constructed a classification model that discriminated among AD, MCI, and Ctr subjects. The model was built using the scores obtained by performing principal component analysis on specific spectral regions (i-PCA).
conclusionsThe results are very encouraging with interesting perspectives for medical applications as support of clinical diagnosis and discrimination of AD from other forms of dementia.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.