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Vellan CJ, Islam T, De Silva S, Mohd Taib NA, Prasanna G, Jayapalan JJ. Exploring novel protein-based biomarkers for advancing breast cancer diagnosis: A review. Clin Biochem 2024; 129:110776. [PMID: 38823558 DOI: 10.1016/j.clinbiochem.2024.110776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 04/26/2024] [Accepted: 05/29/2024] [Indexed: 06/03/2024]
Abstract
This review provides a contemporary examination of the evolving landscape of breast cancer (BC) diagnosis, focusing on the pivotal role of novel protein-based biomarkers. The overview begins by elucidating the multifaceted nature of BC, exploring its prevalence, subtypes, and clinical complexities. A critical emphasis is placed on the transformative impact of proteomics, dissecting the proteome to unravel the molecular intricacies of BC. Navigating through various sources of samples crucial for biomarker investigations, the review underscores the significance of robust sample processing methods and their validation in ensuring reliable outcomes. The central theme of the review revolves around the identification and evaluation of novel protein-based biomarkers. Cutting-edge discoveries are summarised, shedding light on emerging biomarkers poised for clinical application. Nevertheless, the review candidly addresses the challenges inherent in biomarker discovery, including issues of standardisation, reproducibility, and the complex heterogeneity of BC. The future direction section envisions innovative strategies and technologies to overcome existing challenges. In conclusion, the review summarises the current state of BC biomarker research, offering insights into the intricacies of proteomic investigations. As precision medicine gains momentum, the integration of novel protein-based biomarkers emerges as a promising avenue for enhancing the accuracy and efficacy of BC diagnosis. This review serves as a compass for researchers and clinicians navigating the evolving landscape of BC biomarker discovery, guiding them toward transformative advancements in diagnostic precision and personalised patient care.
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Affiliation(s)
- Christina Jane Vellan
- Department of Molecular Medicine, Faculty of Medicine, Universiti Malaya, 50603, Kuala Lumpur, Malaysia
| | - Tania Islam
- Department of Surgery, Faculty of Medicine, Universiti Malaya, 50603, Kuala Lumpur, Malaysia
| | - Sumadee De Silva
- Institute of Biochemistry, Molecular Biology and Biotechnology, University of Colombo, Colombo 03, Sri Lanka
| | - Nur Aishah Mohd Taib
- Department of Surgery, Faculty of Medicine, Universiti Malaya, 50603, Kuala Lumpur, Malaysia
| | - Galhena Prasanna
- Institute of Biochemistry, Molecular Biology and Biotechnology, University of Colombo, Colombo 03, Sri Lanka
| | - Jaime Jacqueline Jayapalan
- Department of Molecular Medicine, Faculty of Medicine, Universiti Malaya, 50603, Kuala Lumpur, Malaysia; Universiti Malaya Centre for Proteomics Research (UMCPR), Universiti Malaya, 50603, Kuala Lumpur, Malaysia.
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Patterson EJ, Bounds AD, Wagner SK, Kadri-Langford R, Taylor R, Daly D. Oculomics: A Crusade Against the Four Horsemen of Chronic Disease. Ophthalmol Ther 2024; 13:1427-1451. [PMID: 38630354 PMCID: PMC11109082 DOI: 10.1007/s40123-024-00942-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Accepted: 03/25/2024] [Indexed: 05/22/2024] Open
Abstract
Chronic, non-communicable diseases present a major barrier to living a long and healthy life. In many cases, early diagnosis can facilitate prevention, monitoring, and treatment efforts, improving patient outcomes. There is therefore a critical need to make screening techniques as accessible, unintimidating, and cost-effective as possible. The association between ocular biomarkers and systemic health and disease (oculomics) presents an attractive opportunity for detection of systemic diseases, as ophthalmic techniques are often relatively low-cost, fast, and non-invasive. In this review, we highlight the key associations between structural biomarkers in the eye and the four globally leading causes of morbidity and mortality: cardiovascular disease, cancer, neurodegenerative disease, and metabolic disease. We observe that neurodegenerative disease is a particularly promising target for oculomics, with biomarkers detected in multiple ocular structures. Cardiovascular disease biomarkers are present in the choroid, retinal vasculature, and retinal nerve fiber layer, and metabolic disease biomarkers are present in the eyelid, tear fluid, lens, and retinal vasculature. In contrast, only the tear fluid emerged as a promising ocular target for the detection of cancer. The retina is a rich source of oculomics data, the analysis of which has been enhanced by artificial intelligence-based tools. Although not all biomarkers are disease-specific, limiting their current diagnostic utility, future oculomics research will likely benefit from combining data from various structures to improve specificity, as well as active design, development, and optimization of instruments that target specific disease signatures, thus facilitating differential diagnoses.
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Affiliation(s)
| | | | - Siegfried K Wagner
- Moorfields Eye Hospital NHS Trust, 162 City Road, London, EC1V 2PD, UK
- UCL Institute of Ophthalmology, University College London, 11-43 Bath Street, London, EC1V 9EL, UK
| | | | - Robin Taylor
- Occuity, The Blade, Abbey Square, Reading, Berkshire, RG1 3BE, UK
| | - Dan Daly
- Occuity, The Blade, Abbey Square, Reading, Berkshire, RG1 3BE, UK
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Moussa SM, Mahmoud SS, Aly EM, Talaat MS. Analyzing Tear Fluid Composition by Synchronous Fluorescence for Diagnosing Dry Eye Disease and the Role of Phytotherapy Intervention. Curr Eye Res 2024:1-9. [PMID: 38679902 DOI: 10.1080/02713683.2024.2344184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Accepted: 04/11/2024] [Indexed: 05/01/2024]
Abstract
PURPOSE Tear fluid gained attention as a representative biological fluid. Its simple and non-invasive collection methods as well as richness of candidate biomarkers made it a potential diagnostic tool for different diseases such as dry eye. Synchronous fluorescence spectroscopy is a highly sensitive analytical tool that results in narrowing and enhanced peak resolution, and has a potential role in disease diagnosis, biomarker identification, and therapeutic monitoring. We applied synchronous fluorescence spectroscopy to monitor variations of tear fluid composition during the development of dry eye disease and to evaluate the potential effects of phytotherapy. METHODS Dry eye model was induced in Chinchilla rabbits by instillation of 1% atropine sulfate ophthalmic solution. Then, the tear fluid was collected at 3, 7, and 14 days and subjected to synchronous fluorescence spectroscopy. Phytotherapy was achieved by topical instillation of 20 µl of water extracts of pomegranate peel or green tea powders. RESULTS The fluorescence results revealed changes in the structure of tear fluid over time and the eye is subjected to toxification due to oxidative stress. In addition, dry eye disease was found to affect the metabolic/energetic state of the eye. On the other hand, phytotherapy led to enhancement of the metabolic/biosynthesis state due to activation of flavin adenine dinucleotide-associated proteins. CONCLUSION There was change in the electrical conductivity of tear fluid proteins. In the case of dry eyes, they became electrical insulators, while in the case of treatment with extracts, their electrical conductivity properties improved. The effects of phytotherapy can be related to the high content of ellagic acid and anthocyanin of pomegranate extract, while in green tea, they are related to catechins and phenolic compounds.
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Affiliation(s)
- Shaimaa M Moussa
- Physics Department, Faculty of Science, Ain Shams University, Cairo, Egypt
| | - Sherif S Mahmoud
- Biophysics and Laser Science Unit, Research Institute of Ophthalmology, Giza, Egypt
| | - Eman M Aly
- Biophysics and Laser Science Unit, Research Institute of Ophthalmology, Giza, Egypt
| | - Mona S Talaat
- Physics Department, Faculty of Science, Ain Shams University, Cairo, Egypt
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4
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Ponzini E. Tear biomarkers. Adv Clin Chem 2024; 120:69-115. [PMID: 38762243 DOI: 10.1016/bs.acc.2024.03.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/20/2024]
Abstract
An extensive exploration of lacrimal fluid molecular biomarkers in understanding and diagnosing a spectrum of ocular and systemic diseases is presented. The chapter provides an overview of lacrimal fluid composition, elucidating the roles of proteins, lipids, metabolites, and nucleic acids within the tear film. Pooled versus single-tear analysis is discussed to underline the benefits and challenges associated with both approaches, offering insights into optimal strategies for tear sample analysis. Subsequently, an in-depth analysis of tear collection methods is presented, with a focus on Schirmer's test strips and microcapillary tubes methods. Alternative tear collection techniques are also explored, shedding light on their applicability and advantages. Variability factors, including age, sex, and diurnal fluctuations, are examined in the context of their impact on tear biomarker analysis. The main body of the chapter is dedicated to discussing specific biomarkers associated with ocular discomfort and a wide array of ocular diseases. From dry eye disease and thyroid-associated ophthalmopathy to keratoconus, age-related macular degeneration, diabetic retinopathy, and glaucoma, the intricate relationship between molecular biomarkers and these conditions is thoroughly dissected. Expanding beyond ocular pathologies, the chapter explores the applicability of tear biomarkers in diagnosing systemic diseases such as multiple sclerosis, amyotrophic lateral sclerosis, Alzheimer's disease, Parkinson's disease, and cancer. This broader perspective underscores the potential of lacrimal fluid analysis in offering non-invasive diagnostic tools for conditions with far-reaching implications.
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Affiliation(s)
- Erika Ponzini
- Department of Materials Science, University of Milano Bicocca, Milan, Italy; COMiB Research Center, University of Milano Bicocca, Milan, Italy.
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Jones G, Altman J, Ahmed S, Lee TJ, Zhi W, Sharma S, Sharma A. Unraveling the Intraday Variations in the Tear Fluid Proteome. Invest Ophthalmol Vis Sci 2024; 65:2. [PMID: 38441890 PMCID: PMC10916888 DOI: 10.1167/iovs.65.3.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 02/14/2024] [Indexed: 03/07/2024] Open
Abstract
Purpose Tear fluid is a complex and dynamic biological fluid that plays essential roles in maintaining ocular homeostasis and protecting against the external environment. Owing to the small sample volume, studying the tear proteome is challenging. However, advances in high-resolution mass spectrometry have expanded tear proteome profiling, revealing >500 unique proteins. Tears are emerging as a noninvasive source of biomarkers for both ocular and systemic diseases; nevertheless, intraday variability of proteins in tear fluid remains questionable. This study investigates intraday variations in the tear fluid proteome to identify stable proteins that could act as candidate biomarkers. Methods Tear samples from 15 individuals at four time points (10 am, 12 pm, 2 pm, and 4 pm) were analyzed using mass spectrometry to evaluate protein variation during these intervals. Technical variation was assessed by analyzing pooled samples and was subtracted from the total variation to isolate biological variability. Results Owing to high technical variation, low-abundant proteins were filtered, and only 115 proteins met the criteria for further analysis. These criteria include being detected at all four time points in at least eight subjects, having a mean peptide-spectrum match count greater than 5, and having a technical variation less than 0.10. Lactotransferrin, lipocalin-1, and several immunoglobulins were among the 51 stable proteins (mean biological coefficient of variation < 0.10). Additionally, 43 proteins displayed significant slopes across the 4 time points, with 17 increasing and 26 decreasing over time. Conclusions These findings contribute to the understanding of tear fluid dynamics and further expand our knowledge of the tear proteome.
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Affiliation(s)
- Garrett Jones
- Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA, United States
| | - Jeremy Altman
- Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA, United States
| | - Saleh Ahmed
- Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA, United States
| | - Tae Jin Lee
- Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA, United States
| | - Wenbo Zhi
- Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA, United States
| | - Shruti Sharma
- Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA, United States
- Department of Ophthalmology, Medical College of Georgia, Augusta University, Augusta, GA, United States
| | - Ashok Sharma
- Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA, United States
- Department of Ophthalmology, Medical College of Georgia, Augusta University, Augusta, GA, United States
- Department of Population Health Sciences, Medical College of Georgia, Augusta University, Augusta, GA, United States
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Sayed SF, Dailah HG, Nagarajan S, Abdelwahab SI, Abadi SSH, Akhtar N, Khuwaja G, Malham WADA. Knowledge of Non-Invasive Biomarkers of Breast Cancer, Risk Factors, and BSE Practices Among Nursing Undergraduates in Farasan Island, KSA. SAGE Open Nurs 2024; 10:23779608241248519. [PMID: 38681865 PMCID: PMC11055480 DOI: 10.1177/23779608241248519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 02/18/2024] [Accepted: 04/03/2024] [Indexed: 05/01/2024] Open
Abstract
Background of the Study Mammograms are sometimes met with issues of overdiagnosis and underdiagnosis; therefore, they are less reliable in identifying cancer in women with dense breasts. As a result, it is critical to be aware of other sensitive screening techniques for the early diagnosis of breast cancer. Aim The ultimate objective of this study was to assess the knowledge of nursing undergraduates regarding non-invasive biomarkers, such as volatile organic compounds in breath, nipple aspirate fluid, sweat, urine, and tears, for the early detection of breast cancer to help improve patient care, determine the risk factors, and encourage practice of breast self-examination. Methods Cross-sectional research was done in the Department of Nursing at Farasan campus using a self-structured questionnaire as the study tool. A total of 260 students willingly participated. The study tool had evaluation questions focused on the non-invasive biomarkers of breast cancer, risk factors, and breast self-examination practices to collect data. The data were subjected to descriptive and inferential statistics. The statistical significance was calculated at P < .05. Data analyses were done using Microsoft Excel (2013). Results A significant knowledge gap existed among the study participants about the non-invasive biomarkers of breast cancer. A lesser percentage of students (25%) stated that they do breast self-examination on a monthly basis. The most common reasons for not doing the breast self-examination were "not knowing how to do the breast self-examination" (77.3%), fear of a positive diagnosis (53.9%), thinking that they are not at risk as all were in their teens and hence not required (44.7%), and lack of time (48.7%). Age and frequency of breast self-examination were significantly associated (P < .05) as those few students (22.7%) who were doing breast self-examination practices every 2-4 months belonged to a higher study year. Furthermore, knowledge regarding incidence rates and health care expenditure by the government on breast cancer was also significantly low (P < .05). Conclusions Outcomes would help prioritize actions to help future nurses better understand breast cancer, allowing them to extend patient care in the best way possible.
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Affiliation(s)
| | - Hamad G. Dailah
- Department of Nursing, College of Nursing, Jazan University, Jazan, Saudi Arabia
| | - Sumathi Nagarajan
- Department of Nursing, Farasan University College, Jazan University, Jazan, KSA
| | | | | | - Nida Akhtar
- Department of Nursing, Al-Dayer College, Jazan University, Jazan, Saudi Arabia
| | - Gulrana Khuwaja
- Department of Pharmaceutical Chemistry, College of Pharmacy, Jazan University, Jazan, Saudi Arabia
| | - Wadeah Ali DA Malham
- Department of Nursing, Farasan University College, Jazan University, Jazan, Saudi Arabia
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Akkurt Arslan M, Rabut G, Chardonnet S, Pionneau C, Kobal A, Gratas Pelletier M, Harfouche N, Réaux La Goazigo A, Baudouin C, Brignole-Baudouin F, Kessal K. Expanded biochemical analyses of human tear fluid: Polyvalent faces of the schirmer strip. Exp Eye Res 2023; 237:109679. [PMID: 37858607 DOI: 10.1016/j.exer.2023.109679] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Revised: 09/27/2023] [Accepted: 10/16/2023] [Indexed: 10/21/2023]
Abstract
The tear film forms a protective barrier between the ocular surface and the external environment. Despite its small volume, recent advancements in preanalytical and analytical procedures have enabled its in-depth analysis using multiple approaches. However, the diversity of tear film collection methods and the lack of standardization in pre-analytical methods represent the main obstacles to reproducible results and comparison among different studies. In this study, we first improved the pre-analytical procedures for the extraction of various molecular entities from Schirmer strips (ScS). Subsequently, our investigation focused on analyzing the molecular variances that might occur between two primary tear collection methods: capillary tube (CT) and ScS. Additionally, we examined different parts of the ScS to underscore these variations, which could serve as crucial factors for developing a standardized, optimized protocol for sample processing. Our results show that the inclusion of surfactants in the extraction process enhanced both the yield of protein extraction and the number of proteins identified in ScS, by effectively lysing the cells and improving the solubility of several intracellular proteins. In addition to proteins, nucleic acids could also be recovered for gene expression analyses, particularly from the bulb region of the ScS which is placed in the cul-de-sac. Despite their diluted nature, extracts from ScS remain a suitable material for retrieving tear proteins such as IL-17A at levels as low as the fg/mL range, thanks to highly sensitive immunoassays. Collection methods can affect measured tear protein levels. Lactoferrin is found in higher percentages in capillary electrophoresis analysis of tears collected using ScS compared to tears collected by CT (39.6 ± 4.8% versus 31 ± 4.4%).
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Affiliation(s)
- Murat Akkurt Arslan
- Institut National de La Santé et de La Recherche Médicale INSERM UMRS 968, CNRS, UMR 7210, Institut de La Vision, IHU ForeSight, Sorbonne Université UM80, 75012, Paris, France.
| | - Ghislaine Rabut
- Hôpital National de La Vision des 15-20, Service 3, 75012, Paris, France.
| | - Solenne Chardonnet
- Sorbonne Université, INSERM, UMS Production et Analyse des Données en Sciences de La Vie et en Santé, PASS, Plateforme Post-génomique de La Pitié-Salpêtrière, P3S, 75013, Paris, France.
| | - Cédric Pionneau
- Sorbonne Université, INSERM, UMS Production et Analyse des Données en Sciences de La Vie et en Santé, PASS, Plateforme Post-génomique de La Pitié-Salpêtrière, P3S, 75013, Paris, France.
| | - Alfred Kobal
- Hôpital National de La Vision des 15-20, Laboratoire d'Ophtalmobiologie, 75012, Paris, France.
| | | | - Nouara Harfouche
- Hôpital National de La Vision des 15-20, Laboratoire d'Ophtalmobiologie, 75012, Paris, France.
| | - Annabelle Réaux La Goazigo
- Institut National de La Santé et de La Recherche Médicale INSERM UMRS 968, CNRS, UMR 7210, Institut de La Vision, IHU ForeSight, Sorbonne Université UM80, 75012, Paris, France.
| | - Christophe Baudouin
- Institut National de La Santé et de La Recherche Médicale INSERM UMRS 968, CNRS, UMR 7210, Institut de La Vision, IHU ForeSight, Sorbonne Université UM80, 75012, Paris, France; Hôpital National de La Vision des 15-20, Service 3, 75012, Paris, France; Hôpital National de La Vision des 15-20, INSERM-DGOS CIC 1423, IHU FOReSIGHT, 75012, Paris, France; Hôpital Ambroise Paré, Assistance Publique-Hôpitaux de Paris APHP, Service d'Ophtalmologie, Université Versailles Saint-Quentin-en-Yvelines, Paris Saclay, 92100, Boulogne, France.
| | - Françoise Brignole-Baudouin
- Institut National de La Santé et de La Recherche Médicale INSERM UMRS 968, CNRS, UMR 7210, Institut de La Vision, IHU ForeSight, Sorbonne Université UM80, 75012, Paris, France; Hôpital National de La Vision des 15-20, Laboratoire d'Ophtalmobiologie, 75012, Paris, France; Hôpital National de La Vision des 15-20, INSERM-DGOS CIC 1423, IHU FOReSIGHT, 75012, Paris, France; Faculté de Pharmacie de Paris, Université Paris Cité, 75006 Paris, France.
| | - Karima Kessal
- Institut National de La Santé et de La Recherche Médicale INSERM UMRS 968, CNRS, UMR 7210, Institut de La Vision, IHU ForeSight, Sorbonne Université UM80, 75012, Paris, France; Hôpital National de La Vision des 15-20, Laboratoire d'Ophtalmobiologie, 75012, Paris, France; Hôpital National de La Vision des 15-20, INSERM-DGOS CIC 1423, IHU FOReSIGHT, 75012, Paris, France.
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Diaz PM, Leehans A, Ravishankar P, Daily A. Multiomic Approaches for Cancer Biomarker Discovery in Liquid Biopsies: Advances and Challenges. Biomark Insights 2023; 18:11772719231204508. [PMID: 37846373 PMCID: PMC10576933 DOI: 10.1177/11772719231204508] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 09/12/2023] [Indexed: 10/18/2023] Open
Abstract
Cancer is a complex and heterogeneous disease that poses a significant threat to global health. Early diagnosis and treatment are critical for improving patient outcomes, and the use of liquid biopsies has emerged as a promising approach for cancer detection and monitoring. Traditionally, cancer diagnosis has relied on invasive tissue biopsies, the collection of which can prove challenging for patients and the results of which may not always provide accurate results due to tumor heterogeneity. Liquid biopsies have gained increasing attention as they provide a non-invasive and accessible source of cancer biomarkers, which can be used to diagnose cancer, monitor treatment response, and detect relapse. The integration of -omics technologies, such as proteomics, genomics, and metabolomics, has further enhanced the capabilities of liquid biopsies by introducing precision oncology and enabling the tailoring of treatment for individual patients based on their unique tumor biology. In this review, we will discuss the challenges and advances in the field of cancer liquid biopsies and the integration of -omics technologies for different types of liquid biopsies, including blood, tear, urine, sweat, saliva, and cerebrospinal fluid.
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Affiliation(s)
- Paola Monterroso Diaz
- Namida Lab Inc., Fayetteville, AR, USA
- University of Arkansas, Department of Biomedical Engineering, Fayetteville, AR, USA
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Safari F, Kehelpannala C, Safarchi A, Batarseh AM, Vafaee F. Biomarker Reproducibility Challenge: A Review of Non-Nucleotide Biomarker Discovery Protocols from Body Fluids in Breast Cancer Diagnosis. Cancers (Basel) 2023; 15:2780. [PMID: 37345117 DOI: 10.3390/cancers15102780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 05/02/2023] [Accepted: 05/10/2023] [Indexed: 06/23/2023] Open
Abstract
Breast cancer has now become the most commonly diagnosed cancer, accounting for one in eight cancer diagnoses worldwide. Non-invasive diagnostic biomarkers and associated tests are superlative candidates to complement or improve current approaches for screening, early diagnosis, or prognosis of breast cancer. Biomarkers detected from body fluids such as blood (serum/plasma), urine, saliva, nipple aspiration fluid, and tears can detect breast cancer at its early stages in a minimally invasive way. The advancements in high-throughput molecular profiling (omics) technologies have opened an unprecedented opportunity for unbiased biomarker detection. However, the irreproducibility of biomarkers and discrepancies of reported markers have remained a major roadblock to clinical implementation, demanding the investigation of contributing factors and the development of standardised biomarker discovery pipelines. A typical biomarker discovery workflow includes pre-analytical, analytical, and post-analytical phases, from sample collection to model development. Variations introduced during these steps impact the data quality and the reproducibility of the findings. Here, we present a comprehensive review of methodological variations in biomarker discovery studies in breast cancer, with a focus on non-nucleotide biomarkers (i.e., proteins, lipids, and metabolites), highlighting the pre-analytical to post-analytical variables, which may affect the accurate identification of biomarkers from body fluids.
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Affiliation(s)
- Fatemeh Safari
- School of Biotechnology and Biomolecular Sciences, University of New South Wales (UNSW Sydney), Sydney, NSW 2052, Australia
| | - Cheka Kehelpannala
- BCAL Diagnostics Ltd., Suite 506, 50 Clarence St, Sydney, NSW 2000, Australia
- BCAL Dx, The University of Sydney, Sydney Knowledge Hub, Merewether Building, Sydney, NSW 2006, Australia
| | - Azadeh Safarchi
- School of Biotechnology and Biomolecular Sciences, University of New South Wales (UNSW Sydney), Sydney, NSW 2052, Australia
- Microbiomes for One Systems Health, Health and Biosecurity, CSIRO, Westmead, NSW 2145, Australia
| | - Amani M Batarseh
- BCAL Diagnostics Ltd., Suite 506, 50 Clarence St, Sydney, NSW 2000, Australia
- BCAL Dx, The University of Sydney, Sydney Knowledge Hub, Merewether Building, Sydney, NSW 2006, Australia
| | - Fatemeh Vafaee
- School of Biotechnology and Biomolecular Sciences, University of New South Wales (UNSW Sydney), Sydney, NSW 2052, Australia
- UNSW Data Science Hub (uDASH), University of New South Wales (UNSW Sydney), Sydney, NSW 2052, Australia
- OmniOmics.ai Pty Ltd., Sydney, NSW 2035, Australia
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Neagu AN, Whitham D, Seymour L, Haaker N, Pelkey I, Darie CC. Proteomics-Based Identification of Dysregulated Proteins and Biomarker Discovery in Invasive Ductal Carcinoma, the Most Common Breast Cancer Subtype. Proteomes 2023; 11:proteomes11020013. [PMID: 37092454 PMCID: PMC10123686 DOI: 10.3390/proteomes11020013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 03/23/2023] [Accepted: 03/24/2023] [Indexed: 04/05/2023] Open
Abstract
Invasive ductal carcinoma (IDC) is the most common histological subtype of malignant breast cancer (BC), and accounts for 70–80% of all invasive BCs. IDC demonstrates great heterogeneity in clinical and histopathological characteristics, prognoses, treatment strategies, gene expressions, and proteomic profiles. Significant proteomic determinants of the progression from intraductal pre-invasive malignant lesions of the breast, which characterize a ductal carcinoma in situ (DCIS), to IDC, are still poorly identified, validated, and clinically applied. In the era of “6P” medicine, it remains a great challenge to determine which patients should be over-treated versus which need to be actively monitored without aggressive treatment. The major difficulties for designating DCIS to IDC progression may be solved by understanding the integrated genomic, transcriptomic, and proteomic bases of invasion. In this review, we showed that multiple proteomics-based techniques, such as LC–MS/MS, MALDI-ToF MS, SELDI-ToF-MS, MALDI-ToF/ToF MS, MALDI-MSI or MasSpec Pen, applied to in-tissue, off-tissue, BC cell lines and liquid biopsies, improve the diagnosis of IDC, as well as its prognosis and treatment monitoring. Classic proteomics strategies that allow the identification of dysregulated protein expressions, biological processes, and interrelated pathway analyses based on aberrant protein–protein interaction (PPI) networks have been improved to perform non-invasive/minimally invasive biomarker detection of early-stage IDC. Thus, in modern surgical oncology, highly sensitive, rapid, and accurate MS-based detection has been coupled with “proteome point sampling” methods that allow for proteomic profiling by in vivo “proteome point characterization”, or by minimal tissue removal, for ex vivo accurate differentiation and delimitation of IDC. For the detection of low-molecular-weight proteins and protein fragments in bodily fluids, LC–MS/MS and MALDI-MS techniques may be coupled to enrich and capture methods which allow for the identification of early-stage IDC protein biomarkers that were previously invisible for MS-based techniques. Moreover, the detection and characterization of protein isoforms, including posttranslational modifications of proteins (PTMs), is also essential to emphasize specific molecular mechanisms, and to assure the early-stage detection of IDC of the breast.
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Affiliation(s)
- Anca-Narcisa Neagu
- Laboratory of Animal Histology, Faculty of Biology, “Alexandru Ioan Cuza” University of Iasi, Carol I bvd. No. 20A, 700505 Iasi, Romania
| | - Danielle Whitham
- Biochemistry & Proteomics Laboratories, Department of Chemistry and Biomolecular Science, Clarkson University, Potsdam, NY 13699-5810, USA
| | - Logan Seymour
- Biochemistry & Proteomics Laboratories, Department of Chemistry and Biomolecular Science, Clarkson University, Potsdam, NY 13699-5810, USA
| | - Norman Haaker
- Biochemistry & Proteomics Laboratories, Department of Chemistry and Biomolecular Science, Clarkson University, Potsdam, NY 13699-5810, USA
| | - Isabella Pelkey
- Biochemistry & Proteomics Laboratories, Department of Chemistry and Biomolecular Science, Clarkson University, Potsdam, NY 13699-5810, USA
| | - Costel C. Darie
- Biochemistry & Proteomics Laboratories, Department of Chemistry and Biomolecular Science, Clarkson University, Potsdam, NY 13699-5810, USA
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11
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Daily A, Ravishankar P, Wang W, Krone R, Harms S, Klimberg VS. Development and validation of a short-term breast health measure as a supplement to screening mammography. Biomark Res 2022; 10:76. [PMID: 36284356 PMCID: PMC9594920 DOI: 10.1186/s40364-022-00420-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 09/19/2022] [Indexed: 11/23/2022] Open
Abstract
Background There is a growing body of evidence to support tears as a non-traditional biological fluid in clinical laboratory testing. In addition to the simplicity of tear fluid processing, the ability to access key cancer biomarkers in high concentrations quickly and inexpensively is significantly enhanced. Tear fluid is a dynamic environment rich in both proteomic and genomic information, making it an ideal medium for exploring the potential for biological testing modalities. Methods All protocols involving human subjects were reviewed and approved by the University of Arkansas IRB committee (13-11-289) prior to sample collection. Study enrollment was open to women ages 18 and over from October 30, 2017-June 19, 2019 at The Breast Center, Fayetteville, AR and Bentonville, AR. Convenience sampling was used and samples were age/sex matched, with enrollment open to individuals at any point of the breast health continuum of care. Tear samples were collected using the Schirmer strip method from 847 women. Concentration of selected tear proteins were evaluated using standard sandwich ELISA techniques and the resulting data, combined with demographic and clinical covariates, was analyzed using logistic regression analysis to build a model for classification of samples. Results Logistic regression analysis produced three models, which were then evaluated on cases and controls at two diagnostic thresholds and resulted in sensitivity ranging from 52 to 90% and specificity from 31 to 79%. Sensitivity and specificity variation is dependent on the model being evaluated as well as the selected diagnostic threshold providing avenues for assay optimization. Conclusions and relevance The work presented here builds on previous studies focused on biomarker identification in tear samples. Here we show successful early classification of samples using two proteins and minimal clinical covariates. Supplementary Information The online version contains supplementary material available at 10.1186/s40364-022-00420-1.
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Affiliation(s)
| | | | | | | | - Steve Harms
- The Breast Center-Medical Associates of Northwest Arkansas, Fayetteville, AR USA
| | - V. Suzanne Klimberg
- grid.176731.50000 0001 1547 9964Department of Surgery, University of Texas Medical Branch, Galveston, TX USA ,grid.240145.60000 0001 2291 4776Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX USA
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12
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Proteomics-Based Identification of Dysregulated Proteins in Breast Cancer. Proteomes 2022; 10:proteomes10040035. [PMID: 36278695 PMCID: PMC9590004 DOI: 10.3390/proteomes10040035] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 10/10/2022] [Accepted: 10/18/2022] [Indexed: 11/18/2022] Open
Abstract
Immunohistochemistry (IHC) is still widely used as a morphology-based assay for in situ analysis of target proteins as specific tumor antigens. However, as a very heterogeneous collection of neoplastic diseases, breast cancer (BC) requires an accurate identification and characterization of larger panels of candidate biomarkers, beyond ER, PR, and HER2 proteins, for diagnosis and personalized treatment, without the limited availability of antibodies that are required to identify specific proteins. Top-down, middle-down, and bottom-up mass spectrometry (MS)-based proteomics approaches complement traditional histopathological tissue analysis to examine expression, modification, and interaction of hundreds to thousands of proteins simultaneously. In this review, we discuss the proteomics-based identification of dysregulated proteins in BC that are essential for the following issues: discovery and validation of new biomarkers by analysis of solid and liquid/non-invasive biopsies, cell lines, organoids and xenograft models; identification of panels of biomarkers for early detection and accurate discrimination between cancer, benign and normal tissues; identification of subtype-specific and stage-specific protein expression profiles in BC grading and measurement of disease progression; characterization of new subtypes of BC; characterization and quantitation of post-translational modifications (PTMs) and aberrant protein-protein interactions (PPI) involved in tumor development; characterization of the global remodeling of BC tissue homeostasis, diagnosis and prognostic information; and deciphering of molecular functions, biological processes and mechanisms through which the dysregulated proteins cause tumor initiation, invasion, and treatment resistance.
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13
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Ozdalgic B, Gul M, Uygun ZO, Atçeken N, Tasoglu S. Emerging Applications of Electrochemical Impedance Spectroscopy in Tear Film Analysis. BIOSENSORS 2022; 12:827. [PMID: 36290964 PMCID: PMC9599721 DOI: 10.3390/bios12100827] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 09/20/2022] [Accepted: 09/24/2022] [Indexed: 06/16/2023]
Abstract
Human tear film, with a flow rate of 1-3 µL/min, is a rich bodily fluid that transmits a variety of metabolites and hormones containing proteins, lipids and electrolytes that provide clues about ocular and systemic diseases. Analysis of disease biomarkers such as proteins, mRNA, enzymes and cytokines in the tear film, collected by noninvasive methods, can provide significant results for sustaining a predictive, preventive and personalized medicine regarding various diseases such as glaucoma, diabetic retinopathy, keratoconus, dry eye, cancer, Alzheimer's disease, Parkinson's disease and COVID-19. Electrochemical impedance spectroscopy (EIS) offers a powerful technique for analyzing these biomarkers. EIS detects electrical equivalent circuit parameters related to biorecognition of receptor-analyte interactions on the electrode surface. This method is advantageous as it performs a label-free detection and allows the detection of non-electroactive compounds that cannot be detected by direct electron transfer, such as hormones and some proteins. Here, we review the opportunities regarding the integration of EIS into tear fluid sampling approaches.
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Affiliation(s)
- Berin Ozdalgic
- Department of Mechanical Engineering, Engineering Faculty, Koç University, Istanbul 34450, Türkiye
- Koç University Translational Medicine Research Center (KUTTAM), Koç University, Istanbul 34450, Türkiye
- Division of Optometry, School of Med Services & Techniques, Dogus University, Istanbul 34775, Türkiye
| | - Munire Gul
- Koç University Translational Medicine Research Center (KUTTAM), Koç University, Istanbul 34450, Türkiye
| | - Zihni Onur Uygun
- Department of Mechanical Engineering, Engineering Faculty, Koç University, Istanbul 34450, Türkiye
- Koç University Translational Medicine Research Center (KUTTAM), Koç University, Istanbul 34450, Türkiye
- Department of Biochemistry, Faculty of Medicine, Kafkas University, Kars 36100, Türkiye
| | - Nazente Atçeken
- Koç University Translational Medicine Research Center (KUTTAM), Koç University, Istanbul 34450, Türkiye
| | - Savas Tasoglu
- Department of Mechanical Engineering, Engineering Faculty, Koç University, Istanbul 34450, Türkiye
- Koç University Translational Medicine Research Center (KUTTAM), Koç University, Istanbul 34450, Türkiye
- Boğaziçi Institute of Biomedical Engineering, Boğaziçi University, Istanbul 34684, Türkiye
- Koç University Arçelik Research Center for Creative Industries (KUAR), Koç University, Istanbul 34450, Türkiye
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14
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Ponzini E, Santambrogio C, De Palma A, Mauri P, Tavazzi S, Grandori R. Mass spectrometry-based tear proteomics for noninvasive biomarker discovery. MASS SPECTROMETRY REVIEWS 2022; 41:842-860. [PMID: 33759206 PMCID: PMC9543345 DOI: 10.1002/mas.21691] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Revised: 02/16/2021] [Accepted: 03/03/2021] [Indexed: 05/05/2023]
Abstract
The lacrimal film has attracted increasing interest in the last decades as a potential source of biomarkers of physiopathological states, due to its accessibility, moderate complexity, and responsiveness to ocular and systemic diseases. High-performance liquid chromatography-mass spectrometry (LC-MS) has led to effective approaches to tear proteomics, despite the intrinsic limitations in sample amounts. This review focuses on the recent progress in strategy and technology, with an emphasis on the potential for personalized medicine. After an introduction on lacrimal-film composition, examples of applications to biomarker discovery are discussed, comparing approaches based on pooled-sample and single-tear analysis. Then, the most critical steps of the experimental pipeline, that is, tear collection, sample fractionation, and LC-MS implementation, are discussed with reference to proteome-coverage optimization. Advantages and challenges of the alternative procedures are highlighted. Despite the still limited number of studies, tear quantitative proteomics, including single-tear investigation, could offer unique contributions to the identification of low-invasiveness, sustained-accessibility biomarkers, and to the development of personalized approaches to therapy and diagnosis.
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Affiliation(s)
- Erika Ponzini
- Materials Science DepartmentUniversity of Milano‐BicoccaMilanItaly
| | - Carlo Santambrogio
- Department of Biotechnology and BiosciencesUniversity of Milano‐BicoccaMilanItaly
| | - Antonella De Palma
- Institute for Biomedical TechnologiesNational Research Council (ITB‐CNR)Segrate (MI)Italy
| | - Pierluigi Mauri
- Institute for Biomedical TechnologiesNational Research Council (ITB‐CNR)Segrate (MI)Italy
| | - Silvia Tavazzi
- Materials Science DepartmentUniversity of Milano‐BicoccaMilanItaly
- COMiBUniversity of Milano‐BicoccaMilanItaly
| | - Rita Grandori
- Department of Biotechnology and BiosciencesUniversity of Milano‐BicoccaMilanItaly
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15
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Abstract
![]()
Personalized and
point-of-care (POC) diagnoses are critical for
ocular physiology and disease diagnosis. Real-time monitoring and
continuous sampling abilities of tear fluid and user-friendliness
have become the key characteristics for the applied ophthalmic techniques.
Fluorescence technologies, as one of the most popular methods that
can fulfill the requirements of clinical ophthalmic applications for
optical sensing, have been raised and applied for tear sensing and
diagnostic platforms in recent decades. Wearable sensors in this case
have been increasingly developed for ocular diagnosis. Contact lenses,
as one of the commercialized and popular tools for ocular dysfunction,
have been developed as a platform for fluorescence sensing in tears
diagnostics and real-time monitoring. Numbers of biochemical analytes
have been examined through developed fluorescent contact lens sensors,
including pH values, electrolytes, glucose, and enzymes. These sensors
have been proven for monitoring ocular conditions, enhancing and detecting
medical treatments, and tracking efficiency of related ophthalmic
surgeries at POC settings. This review summarizes the applied ophthalmic
fluorescence sensing technologies in tears for ocular diagnosis and
monitoring. In addition, the cooperation of fabricated fluorescent
sensor with mobile phone readout devices for diagnosing ocular diseases
with specific biomarkers continuously is also discussed. Further perspectives
for the developments and applications of fluorescent ocular sensing
and diagnosing technologies are also provided.
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Affiliation(s)
- Yuqi Shi
- Department of Chemical Engineering, Imperial College London, South Kensington, London, SW7 2BU, United Kingdom
| | - Yubing Hu
- Department of Chemical Engineering, Imperial College London, South Kensington, London, SW7 2BU, United Kingdom
| | - Nan Jiang
- West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu 610041, China
| | - Ali K. Yetisen
- Department of Chemical Engineering, Imperial College London, South Kensington, London, SW7 2BU, United Kingdom
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16
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Tsai H, Phinney BS, Grigorean G, Salemi MR, Rashidi HH, Pepper J, Tran NK. Identification of Endogenous Peptides in Nasal Swab Transport Media used in MALDI-TOF-MS Based COVID-19 Screening. ACS OMEGA 2022; 7:17462-17471. [PMID: 35600141 PMCID: PMC9113002 DOI: 10.1021/acsomega.2c01864] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 04/18/2022] [Indexed: 06/15/2023]
Abstract
Mass spectrometry (MS) based diagnostic detection of 2019 novel coronavirus infectious disease (COVID-19) has been postulated to be a useful alternative to classical PCR based diagnostics. These MS based approaches have the potential to be both rapid and sensitive and can be done on-site without requiring a dedicated laboratory or depending on constrained supply chains (i.e., reagents and consumables). Matrix-assisted laser desorption ionization (MALDI)-time-of-flight (TOF) MS has a long and established history of microorganism detection and systemic disease assessment. Previously, we have shown that automated machine learning (ML) enhanced MALDI-TOF-MS screening of nasal swabs can be both sensitive and specific for COVID-19 detection. The underlying molecules responsible for this detection are generally unknown nor are they required for this automated ML platform to detect COVID-19. However, the identification of these molecules is important for understanding both the mechanism of detection and potentially the biology of the underlying infection. Here, we used nanoscale liquid chromatography tandem MS to identify endogenous peptides found in nasal swab saline transport media to identify peptides in the same the mass over charge (m/z) values observed by the MALDI-TOF-MS method. With our peptidomics workflow, we demonstrate that we can identify endogenous peptides and endogenous protease cut sites. Further, we show that SARS-CoV-2 viral peptides were not readily detected and are highly unlikely to be responsible for the accuracy of MALDI based SARS-CoV-2 diagnostics. Further analysis with more samples will be needed to validate our findings, but the methodology proves to be promising.
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Affiliation(s)
- Helen Tsai
- Proteomics
Core, University of California, Davis, 451 E. Health Sciences Dr., Davis, California 95616, United States
| | - Brett S. Phinney
- Proteomics
Core, University of California, Davis, 451 E. Health Sciences Dr., Davis, California 95616, United States
| | - Gabriela Grigorean
- Proteomics
Core, University of California, Davis, 451 E. Health Sciences Dr., Davis, California 95616, United States
| | - Michelle R. Salemi
- Proteomics
Core, University of California, Davis, 451 E. Health Sciences Dr., Davis, California 95616, United States
| | - Hooman H. Rashidi
- Department
of Pathology and Laboratory Medicine, University
of California, Davis, 4400 V St., Sacramento, California 95817, United States
| | - John Pepper
- SpectraPass,
LLC, 1980 Festival Plaza,
Suite 770, Las Vegas, Nevada 89135, United States
- Allegiant
Air, 1201 North Town
Center Drive, Las Vegas, Nevada 89144, United
States
| | - Nam K. Tran
- Department
of Pathology and Laboratory Medicine, University
of California, Davis, 4400 V St., Sacramento, California 95817, United States
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17
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Biochemistry of human tear film: A review. Exp Eye Res 2022; 220:109101. [DOI: 10.1016/j.exer.2022.109101] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Revised: 04/18/2022] [Accepted: 04/26/2022] [Indexed: 12/13/2022]
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18
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Daily A, Ravishankar P, Harms S, Klimberg VS. Using tears as a non-invasive source for early detection of breast cancer. PLoS One 2022; 17:e0267676. [PMID: 35471994 PMCID: PMC9041847 DOI: 10.1371/journal.pone.0267676] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 04/13/2022] [Indexed: 11/19/2022] Open
Abstract
The changing expression levels of ocular proteins in response to systemic disease has been well established in literature. In this study, we examined the ocular proteome to identify protein biomarkers with altered expression levels in women diagnosed with breast cancer. Tear samples were collected from 273 participants using Schirmer strip collection methods. Following protein elution, proteome wide trypsin digestion with Liquid chromatography/tandem mass spectrometry (LC-MS/MS) was used to identify potential protein biomarkers with altered expression levels in breast cancer patients. Selected biomarkers were further validated by enzyme linked immunosorbent assay (ELISA). A total of 102 individual tear samples (51 breast cancer, 51 control) were analyzed by LC-MS/MS which identified 301 proteins. Spectral intensities between the groups were compared and 14 significant proteins (p-value <0.05) were identified as potential biomarkers in breast cancer patients. Three biomarkers, S100A8 (p-value = 0.0069, 7.8-fold increase), S100A9 (p-value = 0.0048, 10.2-fold increase), and Galectin-3 binding protein (p-value = 0.01, 3.0-fold increase) with an increased expression in breast cancer patients were selected for validation using ELISA. Validation by ELISA was conducted using 171 individual tear samples (75 Breast Cancer and 96 Control). Similar to the observed LC-MS/MS results, S100A8 (p-value <0.0001) and S100A9 (p-value <0.0001) showed significantly higher expression in breast cancer patients. However, galectin-3 binding protein had increased expression in the control group. Our results provide further support for using tear proteins to detect non-ocular systemic diseases such as breast cancer. Our work provides crucial details to support the continued evaluation of tear samples in the screening and diagnosis of breast cancer and paves the way for future evaluation of the tear proteome for screening and diagnosis of systemic diseases.
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Affiliation(s)
- Anna Daily
- Namida Lab Inc, Fayetteville, Arkansas, United States of America
- * E-mail:
| | | | - Steve Harms
- Namida Lab Inc, Fayetteville, Arkansas, United States of America
- The Breast Center-Medical Associates of Northwest Arkansas, Fayetteville, Arkansas, United States of America
| | - V. Suzanne Klimberg
- Namida Lab Inc, Fayetteville, Arkansas, United States of America
- Department of Surgery, University of Texas Medical Branch, Galveston, Texas, United States of America
- Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America
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19
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Fitzgerald RC, Antoniou AC, Fruk L, Rosenfeld N. The future of early cancer detection. Nat Med 2022; 28:666-677. [PMID: 35440720 DOI: 10.1038/s41591-022-01746-x] [Citation(s) in RCA: 89] [Impact Index Per Article: 44.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 02/15/2022] [Indexed: 12/22/2022]
Abstract
A proactive approach to detecting cancer at an early stage can make treatments more effective, with fewer side effects and improved long-term survival. However, as detection methods become increasingly sensitive, it can be difficult to distinguish inconsequential changes from lesions that will lead to life-threatening cancer. Progress relies on a detailed understanding of individualized risk, clear delineation of cancer development stages, a range of testing methods with optimal performance characteristics, and robust evaluation of the implications for individuals and society. In the future, advances in sensors, contrast agents, molecular methods, and artificial intelligence will help detect cancer-specific signals in real time. To reduce the burden of cancer on society, risk-based detection and prevention needs to be cost effective and widely accessible.
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Affiliation(s)
- Rebecca C Fitzgerald
- Early Detection Programme, Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK.
| | - Antonis C Antoniou
- Centre for Cancer Genetic Epidemiology, Department of Public Health & Primary Care, University of Cambridge, Cambridge, UK
| | - Ljiljana Fruk
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
| | - Nitzan Rosenfeld
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, UK
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20
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Tears as the Next Diagnostic Biofluid: A Comparative Study between Ocular Fluid and Blood. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12062884] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The need to easily isolate small molecular weight proteins and genomic fragments has prompted a search for an alternative biofluid to blood that has traversed sweat, urine, saliva, and even breath. In this study, both the genomic and proteomic profiles of tears and blood are evaluated to determine the similarity and differences between the two biofluids. Both fluids were tested utilizing microarray panels for identifying proteins as well as isolation of microRNA for sequencing. As anticipated, most (118) of the proteins detected in plasma were also detected in the tear samples, with tear samples also showing 34 unique proteins that were not found in the plasma. Over 400 microRNAs were isolated in both samples with 250 microRNA fragments commonly expressed in both tears and blood. This preliminary analysis, along with simplicity of collection and processing, lends credence to further investigate tears as an alternative biofluid to blood.
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21
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Kaufmann Y, Byrum SD, Acott AA, Siegel ER, Washam CL, Mancino AT. Proteomic profiling of tear fluid as a promising non-invasive screening test for colon cancer. Am J Surg 2022; 224:19-24. [DOI: 10.1016/j.amjsurg.2022.03.029] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2021] [Revised: 11/19/2021] [Accepted: 03/22/2022] [Indexed: 01/03/2023]
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22
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Hosseinian H, Hosseini S, Martinez-Chapa SO, Sher M. A Meta-Analysis of Wearable Contact Lenses for Medical Applications: Role of Electrospun Fiber for Drug Delivery. Polymers (Basel) 2022; 14:185. [PMID: 35012207 PMCID: PMC8747307 DOI: 10.3390/polym14010185] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Revised: 12/18/2021] [Accepted: 12/20/2021] [Indexed: 01/14/2023] Open
Abstract
In recent years, wearable contact lenses for medical applications have attracted significant attention, as they enable continuous real-time recording of physiological information via active and noninvasive measurements. These devices play a vital role in continuous monitoring of intraocular pressure (IOP), noninvasive glucose monitoring in diabetes patients, drug delivery for the treatment of ocular illnesses, and colorblindness treatment. In specific, this class of medical devices is rapidly advancing in the area of drug loading and ocular drug release through incorporation of electrospun fibers. The electrospun fiber matrices offer a high surface area, controlled morphology, wettability, biocompatibility, and tunable porosity, which are highly desirable for controlled drug release. This article provides an overview of the advances of contact lens devices in medical applications with a focus on four main applications of these soft wearable devices: (i) IOP measurement and monitoring, (ii) glucose detection, (iii) ocular drug delivery, and (iv) colorblindness treatment. For each category and application, significant challenges and shortcomings of the current devices are thoroughly discussed, and new areas of opportunity are suggested. We also emphasize the role of electrospun fibers, their fabrication methods along with their characteristics, and the integration of diverse fiber types within the structure of the wearable contact lenses for efficient drug loading, in addition to controlled and sustained drug release. This review article also presents relevant statistics on the evolution of medical contact lenses over the last two decades, their strengths, and the future avenues for making the essential transition from clinical trials to real-world applications.
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Affiliation(s)
- Hamed Hosseinian
- School of Engineering and Sciences, Tecnologico de Monterrey, Ave. Eugenio Garza Sada 2501, Monterrey 64849, Mexico; (H.H.); (S.O.M.-C.)
| | - Samira Hosseini
- School of Engineering and Sciences, Tecnologico de Monterrey, Ave. Eugenio Garza Sada 2501, Monterrey 64849, Mexico; (H.H.); (S.O.M.-C.)
- Writing Lab, Institute for the Future of Education, Tecnologico de Monterrey, Monterrey 64849, Mexico
| | - Sergio O. Martinez-Chapa
- School of Engineering and Sciences, Tecnologico de Monterrey, Ave. Eugenio Garza Sada 2501, Monterrey 64849, Mexico; (H.H.); (S.O.M.-C.)
| | - Mazhar Sher
- Department of Mechanical Engineering and Applied Mechanics, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104, USA
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23
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Nandi SK, Singh D, Upadhay J, Gupta N, Dhiman N, Mittal SK, Mahindroo N. Identification of tear-based protein and non-protein biomarkers: Its application in diagnosis of human diseases using biosensors. Int J Biol Macromol 2021; 193:838-846. [PMID: 34728300 DOI: 10.1016/j.ijbiomac.2021.10.198] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2021] [Revised: 09/30/2021] [Accepted: 10/26/2021] [Indexed: 12/27/2022]
Abstract
Discovery of robust, selective and specific biomarkers are important for early diagnosis and monitor progression of human diseases. Eye being a common target for several human diseases, vision impediment and complications are often associated with systemic and ocular diseases. Tears are bodily fluids that are closest to eye and are rich in protein content and other metabolites. As a biomarker repository, it advantages over other bodily fluids due to the ability to collect it non-invasively. In this review, we highlight some recent advancements in identification of tear-based protein biomarkers like lacryglobin and cystatin SA for cancer; interleukin-6 and immunoglobulin-A antibody for COVID-19; tau, amyloid-β-42 and lysozyme-C for Alzheimer's disease; peroxiredoxin-6 and α-synuclein for Parkinson's disease; kallikrein, angiotensin converting enzyme and lipocalin-1 for glaucoma; lactotransferrin and lipophilin-A for diabetic retinopathy and zinc-alpha-2 glycoprotein-1, prolactin and calcium binding protein-A4 for eye thyroid disease. We also discussed identification of tear based non-protein biomarkers like lysophospholipids and acetylcarnitine for glaucoma, 8-hydroxy-2'-deoxyquanosine and malondialdehyde for thyroid eye disease. We elucidate technological advancement in developing tear-based biosensors for diagnosis and monitoring diseases such as diabetes, diabetic retinopathy and Alzheimer's disease. Altogether, the study of tears as potential biomarkers for early diagnosis of human diseases is promising.
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Affiliation(s)
- Sandip K Nandi
- School of Health Sciences, University of Petroleum and Energy Studies, Dehradun, Uttarakhand 248007, India.
| | - Deepanmol Singh
- School of Health Sciences, University of Petroleum and Energy Studies, Dehradun, Uttarakhand 248007, India
| | - Jyoti Upadhay
- School of Health Sciences, University of Petroleum and Energy Studies, Dehradun, Uttarakhand 248007, India
| | - Neeti Gupta
- Department of Ophthalmology, All India Institute of Medical Sciences, Rishikesh 249203, India
| | - Nayan Dhiman
- School of Health Sciences, University of Petroleum and Energy Studies, Dehradun, Uttarakhand 248007, India
| | - Sanjeev Kumar Mittal
- Department of Ophthalmology, All India Institute of Medical Sciences, Rishikesh 249203, India
| | - Neeraj Mahindroo
- School of Health Sciences, University of Petroleum and Energy Studies, Dehradun, Uttarakhand 248007, India.
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24
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Elsherif M, Alam F, Salih AE, AlQattan B, Yetisen AK, Butt H. Wearable Bifocal Contact Lens for Continual Glucose Monitoring Integrated with Smartphone Readers. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2021; 17:e2102876. [PMID: 34605152 DOI: 10.1002/smll.202102876] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 07/22/2021] [Indexed: 06/13/2023]
Abstract
Commercial implantable continuous glucose monitoring devices are invasive and discomfort. Here, a minimally-invasive glucose detection system is developed to provide quantitative glucose measurements continually based on bifocal contact lenses. A glucose-sensitive phenylboronic acid derivative is immobilized in a hydrogel matrix and the surface of the hydrogel is imprinted with a Fresnel lens. The glucose-responsive hydrogel is attached to a commercial soft contact lens to be transformed into a bifocal contact lens. The contact lens showed bifocal lengths; far-field focal length originated from the contact lens' curvature, and near-field focal length resulting from the Fresnel lens. When tear glucose increased, the refractive index and groove depth of the Fresnel lens changed, shifting the near-field focal length and the light focusing efficiency. The recorded optical signals are detected at an identical distance far from the contact lens change. The bifocal contact lens allowed for detecting the tear glucose concentration within the physiological range of healthy individuals and diabetics (0.0-3.3 mm). The contact lens rapidly responded to glucose concentration changes and reached 90% of equilibrium within 40 min. The bifocal contact lens is a wearable diagnostic platform for continual biomarker detection at point-of-care settings.
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Affiliation(s)
- Mohamed Elsherif
- Department of Mechanical Engineering, Khalifa University, Abu Dhabi, 127788, UAE
| | - Fahad Alam
- Department of Mechanical Engineering, Khalifa University, Abu Dhabi, 127788, UAE
| | - Ahmed E Salih
- Department of Mechanical Engineering, Khalifa University, Abu Dhabi, 127788, UAE
| | - Bader AlQattan
- Department of Mechanical Engineering, Khalifa University, Abu Dhabi, 127788, UAE
| | - Ali K Yetisen
- Department of Chemical Engineering, Imperial College London, London, SW7 2AZ, UK
| | - Haider Butt
- Department of Mechanical Engineering, Khalifa University, Abu Dhabi, 127788, UAE
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Nättinen J, Aapola U, Nukareddy P, Uusitalo H. Looking deeper into ocular surface health: an introduction to clinical tear proteomics analysis. Acta Ophthalmol 2021; 100:486-498. [PMID: 34750985 DOI: 10.1111/aos.15059] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 10/13/2021] [Accepted: 10/25/2021] [Indexed: 12/13/2022]
Abstract
Ocular surface diseases are becoming more prevalent worldwide. Reasons for this include the ongoing population ageing and increasing use of digital displays, although ophthalmologists have a wide selection of tools, which can be implemented in the evaluation of the ocular surface health, methods, which enable the in-depth study of biological functions are gaining more interest. These new approaches are needed, since the individual responses to ocular surface diseases and treatments can vary from person to person, and the correlations between clinical signs and symptoms are often low. Modern mass spectrometry (MS) methods can produce information on hundreds of tear proteins, which in turn can provide valuable information on the biological effects occurring on the ocular surface. In this review article, we will provide an overview of the different aspects, which are part of a successful tear proteomics study design and equip readers with a better understanding of the methods most suited for their MS-based tear proteomics study in the field of ophthalmology and ocular surface.
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Affiliation(s)
- Janika Nättinen
- SILK Department of Ophthalmology Faculty of Medicine and Health Technology Tampere University Tampere Finland
| | - Ulla Aapola
- SILK Department of Ophthalmology Faculty of Medicine and Health Technology Tampere University Tampere Finland
| | - Praveena Nukareddy
- SILK Department of Ophthalmology Faculty of Medicine and Health Technology Tampere University Tampere Finland
| | - Hannu Uusitalo
- SILK Department of Ophthalmology Faculty of Medicine and Health Technology Tampere University Tampere Finland
- Tays Eye Centre Tampere University Hospital Tampere Finland
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Khazaei H, Khazaei D, Verma R, Ng J, Wilmarth PA, David LL, Rosenbaum JT. The potential of tear proteomics for diagnosis and management of orbital inflammatory disorders including Graves' ophthalmopathy. Exp Eye Res 2021; 213:108813. [PMID: 34742692 DOI: 10.1016/j.exer.2021.108813] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 09/10/2021] [Accepted: 10/26/2021] [Indexed: 12/27/2022]
Abstract
BACKGROUND Orbital compartments harbor a variety of tissues that can be independently targeted in a plethora of disorders resulting in sight-threatening risks. Orbital inflammatory disorders (OID) including Graves' ophthalmopathy, sarcoidosis, IgG4 disease, granulomatosis with polyangiitis, and nonspecific orbital inflammation constitute an important cause of pain, diplopia and vision loss. Physical examination, laboratory tests, imaging, and even biopsy are not always adequate to classify orbital inflammation which is frequently deemed "nonspecific". Tear sampling and testing provide a potential "window" to the orbital disease process through a non-invasive technique that allows longitudinal sampling as the disease evolves. Using PubMed/Medline, we identified potentially relevant articles on tear proteomics published in the English language between 1988 and 2021. Of 303 citations obtained, 225 contained empirical data on tear proteins, including 33 publications on inflammatory conditions, 15 in glaucoma, 15 in thyroid eye disease, 1 in sarcoidosis (75) and 2 in uveitis (77,78). Review articles were used to identify an additional 56 relevant articles through citation search. In this review, we provide a short introduction to the potential use of tears as a diagnostic fluid and tool to investigate the mechanism of ocular diseases. A general review of previous tear proteomics studies is also provided, with a focus on Graves' ophthalmopathy (GO), and a discussion of unmet needs in the diagnosis and treatment of orbital inflammatory disease (OID). The review concludes by pointing out current limitations of mass spectrometric analysis of tear proteins and summarizes future needs in the field.
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Shi Y, Jiang N, Bikkannavar P, Cordeiro MF, Yetisen AK. Ophthalmic sensing technologies for ocular disease diagnostics. Analyst 2021; 146:6416-6444. [PMID: 34591045 DOI: 10.1039/d1an01244d] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Point-of-care diagnosis and personalized treatments are critical in ocular physiology and disease. Continuous sampling of tear fluid for ocular diagnosis is a need for further exploration. Several techniques have been developed for possible ophthalmological applications, from traditional spectroscopies to wearable sensors. Contact lenses are commonly used devices for vision correction, as well as for other therapeutic and cosmetic purposes. They are increasingly being developed into ocular sensors, being used to sense and monitor biochemical analytes in tear fluid, ocular surface temperature, intraocular pressure, and pH value. These sensors have had success in detecting ocular conditions, optimizing pharmaceutical treatments, and tracking treatment efficacy in point-of-care settings. However, there is a paucity of new and effective instrumentation reported in ophthalmology. Hence, this review will summarize the applied ophthalmic technologies for ocular diagnostics and tear monitoring, including both conventional and biosensing technologies. Besides applications of smart readout devices for continuous monitoring, targeted biomarkers are also discussed for the convenience of diagnosis of various ocular diseases. A further discussion is also provided for future aspects and market requirements related to the commercialization of novel types of contact lens sensors.
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Affiliation(s)
- Yuqi Shi
- Department of Chemical Engineering, Imperial College London, South Kensington, London, SW7 2BU, UK.
| | - Nan Jiang
- West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu 610041, China.
| | | | - M Francesca Cordeiro
- UCL Institute of Ophthalmology, London, UK.,ICORG, Imperial College London, London, UK
| | - Ali K Yetisen
- Department of Chemical Engineering, Imperial College London, South Kensington, London, SW7 2BU, UK.
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Ferrara F, Zoupanou S, Primiceri E, Ali Z, Chiriacò MS. Beyond liquid biopsy: Toward non-invasive assays for distanced cancer diagnostics in pandemics. Biosens Bioelectron 2021; 196:113698. [PMID: 34688113 PMCID: PMC8527216 DOI: 10.1016/j.bios.2021.113698] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 10/01/2021] [Accepted: 10/07/2021] [Indexed: 12/11/2022]
Abstract
Liquid biopsy technologies have seen a significant improvement in the last decade, offering the possibility of reliable analysis and diagnosis from several biological fluids. The use of these technologies can overcome the limits of standard clinical methods, related to invasiveness and poor patient compliance. Along with this there are now mature examples of lab-on-chips (LOC) which are available and could be an emerging and breakthrough technology for the present and near-future clinical demands that provide sample treatment, reagent addition and analysis in a sample-in/answer-out approach. The possibility of combining non-invasive liquid biopsy and LOC technologies could greatly assist in the current need for minimizing exposure and transmission risks. The recent and ongoing pandemic outbreak of SARS-CoV-2, indeed, has heavily influenced all aspects of life worldwide. Ordinary tasks have been forced to switch from “in presence” to “distanced”, limiting the possibilities for a large number of activities in all fields of life outside of the home. Unfortunately, one of the settings in which physical distancing has assumed noteworthy consequences is the screening, diagnosis and follow-up of diseases. In this review, we analyse biological fluids that are easily collected without the intervention of specialized personnel and the possibility that they may be used -or not-for innovative diagnostic assays. We consider their advantages and limitations, mainly due to stability and storage and their integration into Point-of-Care diagnostics, demonstrating that technologies in some cases are mature enough to meet current clinical needs.
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Affiliation(s)
- Francesco Ferrara
- STMicroelectronics s.r.l., via per Monteroni, 73100, Lecce, Italy; CNR NANOTEC - Institute of Nanotechnology, via per Monteroni, 73100, Lecce, Italy.
| | - Sofia Zoupanou
- CNR NANOTEC - Institute of Nanotechnology, via per Monteroni, 73100, Lecce, Italy; University of Salento, Dept. of Mathematics & Physics E. de Giorgi, Via Arnesano, 73100, Lecce, Italy
| | - Elisabetta Primiceri
- CNR NANOTEC - Institute of Nanotechnology, via per Monteroni, 73100, Lecce, Italy
| | - Zulfiqur Ali
- University of Teesside, School of Health & Life Sciences, Healthcare Innovation Centre, Middlesbrough, TS1 3BX, Tees Valley, England, UK
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Alotaibi S, Markoulli M, Ozkan J, Papas E. Bio-chemical markers of chronic, non-infectious disease in the human tear film. Clin Exp Optom 2021; 105:166-176. [PMID: 34592130 DOI: 10.1080/08164622.2021.1974282] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
Abstract
The tear film is a thin, moist layer covering the ocular surface and is laden with proteins, peptides, lipids, mucins, electrolytes and cellular debris which function to maintain the healthy status of the ocular surface. In many cases of ocular or systemic disease, the integrity of this layer is changed and/or the balance of its constituents is disturbed. Since tears are easy and quick to collect and can be stored for long periods, they have the potential to be a valuable source of information relevant to many disease states. The purpose of this review is to collate information on the known biomarkers of systemic disease that have been identified in tears. The range of conditions covered includes diabetes mellitus, diabetic retinopathy, diabetic peripheral neuropathy, multiple sclerosis, Parkinson's disease, Alzheimer's disease, migraine, systemic sclerosis, cystic fibrosis, thyroid disorders and cancer.
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Affiliation(s)
- Sultan Alotaibi
- Department of Optometry & Vision Science, University of New South Wales, Sydney, Australia.,King Saud University, Riyadh, Saudi Arabia
| | - Maria Markoulli
- Department of Optometry & Vision Science, University of New South Wales, Sydney, Australia
| | - Jerome Ozkan
- Department of Optometry & Vision Science, University of New South Wales, Sydney, Australia
| | - Eric Papas
- Department of Optometry & Vision Science, University of New South Wales, Sydney, Australia
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Neagu AN, Whitham D, Buonanno E, Jenkins A, Alexa-Stratulat T, Tamba BI, Darie CC. Proteomics and its applications in breast cancer. Am J Cancer Res 2021; 11:4006-4049. [PMID: 34659875 PMCID: PMC8493401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 07/05/2021] [Indexed: 06/13/2023] Open
Abstract
Breast cancer is an individually unique, multi-faceted and chameleonic disease, an eternal challenge for the new era of high-integrated precision diagnostic and personalized oncomedicine. Besides traditional single-omics fields (such as genomics, epigenomics, transcriptomics and metabolomics) and multi-omics contributions (proteogenomics, proteotranscriptomics or reproductomics), several new "-omics" approaches and exciting proteomics subfields are contributing to basic and advanced understanding of these "multiple diseases termed breast cancer": phenomics/cellomics, connectomics and interactomics, secretomics, matrisomics, exosomics, angiomics, chaperomics and epichaperomics, phosphoproteomics, ubiquitinomics, metalloproteomics, terminomics, degradomics and metadegradomics, adhesomics, stressomics, microbiomics, immunomics, salivaomics, materiomics and other biomics. Throughout the extremely complex neoplastic process, a Breast Cancer Cell Continuum Concept (BCCCC) has been modeled in this review as a spatio-temporal and holistic approach, as long as the breast cancer represents a complex cascade comprising successively integrated populations of heterogeneous tumor and cancer-associated cells, that reflect the carcinoma's progression from a "driving mutation" and formation of the breast primary tumor, toward the distant secondary tumors in different tissues and organs, via circulating tumor cell populations. This BCCCC is widely sustained by a Breast Cancer Proteomic Continuum Concept (BCPCC), where each phenotype of neoplastic and tumor-associated cells is characterized by a changing and adaptive proteomic profile detected in solid and liquid minimal invasive biopsies by complex proteomics approaches. Such a profile is created, beginning with the proteomic landscape of different neoplastic cell populations and cancer-associated cells, followed by subsequent analysis of protein biomarkers involved in epithelial-mesenchymal transition and intravasation, circulating tumor cell proteomics, and, finally, by protein biomarkers that highlight the extravasation and distant metastatic invasion. Proteomics technologies are producing important data in breast cancer diagnostic, prognostic, and predictive biomarkers discovery and validation, are detecting genetic aberrations at the proteome level, describing functional and regulatory pathways and emphasizing specific protein and peptide profiles in human tissues, biological fluids, cell lines and animal models. Also, proteomics can identify different breast cancer subtypes and specific protein and proteoform expression, can assess the efficacy of cancer therapies at cellular and tissular level and can even identify new therapeutic target proteins in clinical studies.
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Affiliation(s)
- Anca-Narcisa Neagu
- Biochemistry & Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson UniversityPotsdam, NY 13699-5810, USA
- Laboratory of Animal Histology, Faculty of Biology, “Alexandru Ioan Cuza” University of IașiCarol I bvd. No. 22, Iași 700505, Romania
| | - Danielle Whitham
- Biochemistry & Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson UniversityPotsdam, NY 13699-5810, USA
| | - Emma Buonanno
- Biochemistry & Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson UniversityPotsdam, NY 13699-5810, USA
| | - Avalon Jenkins
- Biochemistry & Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson UniversityPotsdam, NY 13699-5810, USA
| | - Teodora Alexa-Stratulat
- Department of Medical Oncology-Radiotherapy, “Grigore T. Popa” University of Medicine and PharmacyIndependenței bvd. No. 16-18, Iași 700021, Romania
| | - Bogdan Ionel Tamba
- Advanced Center for Research and Development in Experimental Medicine (CEMEX), “Grigore T. Popa” University of Medicine and PharmacyMihail Kogălniceanu Street No. 9-13, Iași 700454, Romania
| | - Costel C Darie
- Biochemistry & Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson UniversityPotsdam, NY 13699-5810, USA
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Adigal SS, Rizvi A, Rayaroth NV, John RV, Barik A, Bhandari S, George SD, Lukose J, Kartha VB, Chidangil S. Human tear fluid analysis for clinical applications: progress and prospects. Expert Rev Mol Diagn 2021; 21:767-787. [PMID: 34115952 DOI: 10.1080/14737159.2021.1941879] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Introduction: Human blood and saliva are increasingly under investigation for the detection of biomarkers for early diagnosis of non-communicable (e.g.cancers) and communicable diseases like COVID-19. Exploring the potential application of human tears, an easily accessible body fluid, for the diagnosis of various diseases is the need of the hour.Areas covered: This review deals with a comprehensive account of applications of tear analysis using different techniques, their comparison and overall progress achieved till now. The techniques used for tear fluid analysis are HPLC/UPLC/SDS-PAGE, CE, etc., together with ELISA, Mass Spectrometry, etc. But, with advances in instrumentation and data processing methods, it has become easy to couple the various separation methods with highly sensitive optical techniques for the analysis of body fluids.Expert opinion: Tear analysis can provide valuable information about the health condition of the eyes since it contains several molecular constituents, and their relative concentrations may alter under abnormal conditions. Tear analysis has the advantage that it is totally non-invasive. This study recommends tear fluid as a reliable clinical sample to be probed by highly sensitive optical techniques to diagnose different health conditions, with special emphasis on eye diseases.
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Affiliation(s)
- Sphurti S Adigal
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Alisha Rizvi
- Department of Ophthalmology, Kasthurba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Nidheesh V Rayaroth
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Reena V John
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Ajayakumar Barik
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Sulatha Bhandari
- Department of Ophthalmology, Kasthurba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Sajan D George
- Centre for Applied Nanotechnology, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Jijo Lukose
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Vasudevan B Kartha
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Santhosh Chidangil
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, Manipal, Karnataka, India
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Jones L, Hui A, Phan CM, Read ML, Azar D, Buch J, Ciolino JB, Naroo SA, Pall B, Romond K, Sankaridurg P, Schnider CM, Terry L, Willcox M. CLEAR - Contact lens technologies of the future. Cont Lens Anterior Eye 2021; 44:398-430. [PMID: 33775384 DOI: 10.1016/j.clae.2021.02.007] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 02/01/2021] [Indexed: 12/20/2022]
Abstract
Contact lenses in the future will likely have functions other than correction of refractive error. Lenses designed to control the development of myopia are already commercially available. Contact lenses as drug delivery devices and powered through advancements in nanotechnology will open up further opportunities for unique uses of contact lenses. This review examines the use, or potential use, of contact lenses aside from their role to correct refractive error. Contact lenses can be used to detect systemic and ocular surface diseases, treat and manage various ocular conditions and as devices that can correct presbyopia, control the development of myopia or be used for augmented vision. There is also discussion of new developments in contact lens packaging and storage cases. The use of contact lenses as devices to detect systemic disease has mostly focussed on detecting changes to glucose levels in tears for monitoring diabetic control. Glucose can be detected using changes in colour, fluorescence or generation of electric signals by embedded sensors such as boronic acid, concanavalin A or glucose oxidase. Contact lenses that have gained regulatory approval can measure changes in intraocular pressure to monitor glaucoma by measuring small changes in corneal shape. Challenges include integrating sensors into contact lenses and detecting the signals generated. Various techniques are used to optimise uptake and release of the drugs to the ocular surface to treat diseases such as dry eye, glaucoma, infection and allergy. Contact lenses that either mechanically or electronically change their shape are being investigated for the management of presbyopia. Contact lenses that slow the development of myopia are based upon incorporating concentric rings of plus power, peripheral optical zone(s) with add power or non-monotonic variations in power. Various forms of these lenses have shown a reduction in myopia in clinical trials and are available in various markets.
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Affiliation(s)
- Lyndon Jones
- Centre for Ocular Research & Education (CORE), School of Optometry & Vision Science, University of Waterloo, Waterloo, Canada; Centre for Eye and Vision Research (CEVR), 17W Hong Kong Science Park, Hong Kong.
| | - Alex Hui
- School of Optometry and Vision Science, UNSW Sydney, Sydney, NSW, Australia
| | - Chau-Minh Phan
- Centre for Ocular Research & Education (CORE), School of Optometry & Vision Science, University of Waterloo, Waterloo, Canada; Centre for Eye and Vision Research (CEVR), 17W Hong Kong Science Park, Hong Kong
| | - Michael L Read
- Eurolens Research, Division of Pharmacy and Optometry, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Dimitri Azar
- Department of Ophthalmology and Visual Sciences, University of Illinois College of Medicine, Chicago, IL, USA; Verily Life Sciences, San Francisco, CA, USA
| | - John Buch
- Johnson & Johnson Vision Care, Jacksonville, FL, USA
| | - Joseph B Ciolino
- Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, MA, USA
| | - Shehzad A Naroo
- College of Health and Life Sciences, Aston University, Birmingham B4 7ET, UK
| | - Brian Pall
- Johnson & Johnson Vision Care, Jacksonville, FL, USA
| | - Kathleen Romond
- Department of Ophthalmology and Visual Sciences, University of Illinois College of Medicine, Chicago, IL, USA
| | - Padmaja Sankaridurg
- School of Optometry and Vision Science, UNSW Sydney, Sydney, NSW, Australia; Brien Holden Vision Institute, Sydney, Australia
| | | | - Louise Terry
- School of Optometry and Vision Sciences, Cardiff University, UK
| | - Mark Willcox
- School of Optometry and Vision Science, UNSW Sydney, Sydney, NSW, Australia
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Karki HP, Jang Y, Jung J, Oh J. Advances in the development paradigm of biosample-based biosensors for early ultrasensitive detection of alzheimer's disease. J Nanobiotechnology 2021; 19:72. [PMID: 33750392 PMCID: PMC7945670 DOI: 10.1186/s12951-021-00814-7] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Accepted: 02/25/2021] [Indexed: 02/07/2023] Open
Abstract
This review highlights current developments, challenges, and future directions for the use of invasive and noninvasive biosample-based small biosensors for early diagnosis of Alzheimer's disease (AD) with biomarkers to incite a conceptual idea from a broad number of readers in this field. We provide the most promising concept about biosensors on the basis of detection scale (from femto to micro) using invasive and noninvasive biosamples such as cerebrospinal fluid (CSF), blood, urine, sweat, and tear. It also summarizes sensor types and detailed analyzing techniques for ultrasensitive detection of multiple target biomarkers (i.e., amyloid beta (Aβ) peptide, tau protein, Acetylcholine (Ach), microRNA137, etc.) of AD in terms of detection ranges and limit of detections (LODs). As the most significant disadvantage of CSF and blood-based detection of AD is associated with the invasiveness of sample collection which limits future strategy with home-based early screening of AD, we extensively reviewed the future trend of new noninvasive detection techniques (such as optical screening and bio-imaging process). To overcome the limitation of non-invasive biosamples with low concentrations of AD biomarkers, current efforts to enhance the sensitivity of biosensors and discover new types of biomarkers using non-invasive body fluids are presented. We also introduced future trends facing an infection point in early diagnosis of AD with simultaneous emergence of addressable innovative technologies.
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Affiliation(s)
- Hem Prakash Karki
- Department of Mechanical Design Engineering, College of Engineering, Jeonbuk National University, Jeonju, 54896, South Korea
| | - Yeongseok Jang
- Department of Mechanical Design Engineering, College of Engineering, Jeonbuk National University, Jeonju, 54896, South Korea
| | - Jinmu Jung
- Department of Mechanical Design Engineering, College of Engineering, Jeonbuk National University, Jeonju, 54896, South Korea.
- Department of Nano-bio Mechanical System Engineering, College of Engineering, Jeonbuk National University, Jeonju, 54896, South Korea.
| | - Jonghyun Oh
- Department of Mechanical Design Engineering, College of Engineering, Jeonbuk National University, Jeonju, 54896, South Korea.
- Department of Nano-bio Mechanical System Engineering, College of Engineering, Jeonbuk National University, Jeonju, 54896, South Korea.
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Pieczyński J, Szulc U, Harazna J, Szulc A, Kiewisz J. Tear fluid collection methods: Review of current techniques. Eur J Ophthalmol 2021; 31:2245-2251. [PMID: 33631970 DOI: 10.1177/1120672121998922] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Tear fluid, composed of lipid, aqueous, and mucin layers, contains electrolytes, water, proteins, peptides, and glycoproteins. Its components may serve as diagnostic indicators of local and systemic diseases. The aim of the study was to conduct literature review in order to identify the current methods of tear collection. The most commonly used method which was relatively easy to perform and allowed to obtain sufficient tear volume for further chemical and physical analysis was selected through PubMed database search for the following keywords: tear sampling, human tears, chemical analysis of tears, physical tear analysis, animal tear sampling. Final criteria of articles selection were: human tears, tear sample collection, chemical and physical analysis of tears. Time of publication of the articles not older than 1995. The analysis of 70 articles revealed that the most common tear fluid collection methods are Schirmer tear strips and capillary tubes. Thus, we recommend the use of Schirmer strips and microcapillary tubes as the cheapest and easiest methods for sampling of tear fluid for further chemical analysis.
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Affiliation(s)
- Janusz Pieczyński
- Department of Ophthalmology, School of Medicine, Collegium Medicum, University of Warmia and Mazury, Olsztyn, Poland
- Regional Specialist Hospital of Olsztyn, Olsztyn, Poland
| | - Urszula Szulc
- Department of Human Physiology and Pathophysiology, University of Warmia and Mazury, Olsztyn, Poland
| | - Joanna Harazna
- Department of Human Physiology and Pathophysiology, University of Warmia and Mazury, Olsztyn, Poland
- Clinical Research Center, Department of Nephrology and Hypertensiology, University of Erlangen-Nuremberg, Erlangen, Germany
| | - Aleksandra Szulc
- Department of Human Histology and Embryology, School of Medicine, Collegium Medicum, University of Warmia and Mazury, Olsztyn, Poland
| | - Jolanta Kiewisz
- Department of Human Histology and Embryology, School of Medicine, Collegium Medicum, University of Warmia and Mazury, Olsztyn, Poland
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Gulias-Cañizo R, Ruíz-Leyja ED, Sánchez-Huerta V, Ochoa-de la Paz L. SARS-CoV-2 and the Eye: A Relationship for a Possible Prognostic Tool in COVID-19 Patients. Clin Ophthalmol 2021; 15:707-712. [PMID: 33658751 PMCID: PMC7917349 DOI: 10.2147/opth.s284191] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Accepted: 12/04/2020] [Indexed: 01/08/2023] Open
Abstract
PURPOSE In December 2019 there was the first report about a new viral infection in Wuhan, China. The new virus was taxonomically designed as Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) causing the coronavirus disease 2019 (COVID-19). SARS-CoV-2 uses the angiotensin-converting enzyme 2 (ACE2) receptor for cell invasion, which is expressed in different tissues including lungs, small intestine, testicles, kidneys, brain, and the eye. The purpose of this article is to review the available information on the relationship of COVID-19 with the eye, as well as evaluating the possible usefulness of ocular diagnostic tests to help in the diagnosis and/or monitoring of patients with this disease. METHODS We performed a retrospective review of relevant articles from November 2019 to April 2020. RESULTS Ocular infection by SARS-CoV-2 is still controversial; nevertheless, the possibility of being a viral reservoir has been suggested, increasing the likelihood of infection. Some reports demonstrated the presence of SARS-CoV-2 in tears, and previously published data suggest a pathological increase of cytokine concentrations in COVID-19 patients; the cytokine release syndrome or cytokine storm contributes to lung and central nervous system damage. The usefulness of tears for the measurement of inflammatory cytokines in various diseases is well known, in particular IL-6, which has been correlated to the severity of COVID-19. CONCLUSION Considering that the IL-6 signaling cascade may be activated in patients with COVID-19, makes it an excellent target for diagnostic and/or monitoring purposes.
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Affiliation(s)
- Rosario Gulias-Cañizo
- Facultad de Ciencias de la Salud, Universidad Anáhuac México, Huixquilucan, Edo. de México, México
| | - Estela D’Abril Ruíz-Leyja
- Asociación Para Evitar la Ceguera en México I.A.P. Hospital Dr. Luis Sánchez Bulnes, Mexico City, 04020, Mexico
| | - Valeria Sánchez-Huerta
- Asociación Para Evitar la Ceguera en México I.A.P. Hospital Dr. Luis Sánchez Bulnes, Mexico City, 04020, Mexico
| | - Lenin Ochoa-de la Paz
- Asociación Para Evitar la Ceguera en México I.A.P. Hospital Dr. Luis Sánchez Bulnes, Mexico City, 04020, Mexico
- Departamento de Bioquímica, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, 04510, Mexico
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Zhang Y, Archer KJ. Bayesian penalized cumulative logit model for high-dimensional data with an ordinal response. Stat Med 2020; 40:1453-1481. [PMID: 33336826 DOI: 10.1002/sim.8851] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Revised: 11/23/2020] [Accepted: 11/23/2020] [Indexed: 01/15/2023]
Abstract
Many previous studies have identified associations between gene expression, measured using high-throughput genomic platforms, and quantitative or dichotomous traits. However, we note that health outcome and disease status measurements frequently appear on an ordinal scale, that is, the outcome is categorical but has inherent ordering. Identification of important genes may be useful for developing novel diagnostic and prognostic tools to predict or classify stage of disease. Gene expression data are usually high-dimensional, meaning that the number of genes is much larger than the sample size or number of patients. Herein we describe some existing frequentist methods for modeling an ordinal response in a high-dimensional predictor space. Following Tibshirani (1996), who described the LASSO estimate as the Bayesian posterior mode when the regression coefficients have independent Laplace priors, we propose a new approach for high-dimensional data with an ordinal response that is rooted in the Bayesian paradigm. We show that our proposed Bayesian approach outperforms existing frequentist methods through simulation studies. We then compare the performance of frequentist and Bayesian approaches using a study evaluating progression to hepatocellular carcinoma in hepatitis C infected patients.
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Affiliation(s)
- Yiran Zhang
- College of Public Health, The Ohio State University, Columbus, Ohio, USA
| | - Kellie J Archer
- College of Public Health, The Ohio State University, Columbus, Ohio, USA
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Burgos-Blasco B, Güemes-Villahoz N, Santiago JL, Fernandez-Vigo JI, Espino-Paisán L, Sarriá B, García-Feijoo J, Martinez-de-la-Casa JM. Hypercytokinemia in COVID-19: Tear cytokine profile in hospitalized COVID-19 patients. Exp Eye Res 2020; 200:108253. [PMID: 32949577 PMCID: PMC7493729 DOI: 10.1016/j.exer.2020.108253] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 08/30/2020] [Accepted: 09/14/2020] [Indexed: 02/07/2023]
Abstract
The aim of this study is to analyze the concentrations of cytokines in tear of hospitalized COVID-19 patients compared to healthy controls. Tear samples were obtained from 41 healthy controls and 62 COVID-19 patients. Twenty-seven cytokines were assessed: interleukin (IL)-1b, IL-1RA, IL-2, IL-4, IL-5, IL-6, IL-7, IL-8, IL9, IL-10, IL-12, IL-13, IL-15, IL-17, eotaxin, fibroblast growth factor basic, granulocyte colony-stimulating factor (G-CSF), granulocyte-monocyte colony-stimulating factor (GM-CSF), interferon (IFN)-γ, interferon gamma-induced protein, monocyte chemo-attractant protein-1, macrophage inflammatory protein (MIP)-1a, MIP-1b, platelet-derived growth factor (PDGF), regulated on activation normal T cell expressed and secreted, tumor necrosis factor-α and vascular endothelial growth factor (VEGF).
In tear samples of COVID-19 patients, an increase in IL-9, IL-15, G-CSF, GM-CSF, IFN-γ, PDGF and VEGF was observed, along with a decrease in eotaxin compared to the control group (p < 0.05). A poor correlation between IL-6 levels in tear and blood was found. IL-1RA and GM-CSF were significantly lower in severe patients and those who needed treatment targeting the immune system (p < 0.05). Tear cytokine levels corroborate the inflammatory nature of SARS-CoV-2.
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Affiliation(s)
- Barbara Burgos-Blasco
- Ophthalmology Department, Hospital Clínico San Carlos. Madrid, Spain,Corresponding author. Hospital Clinico San Carlos, Ophthalmology Department, Calle del Prof Martín Lagos, s/n, 28040, Madrid, Spain
| | | | | | | | - Laura Espino-Paisán
- Laboratorio de investigación en genética de enfermedades complejas, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC). Madrid, Spain
| | - Beatriz Sarriá
- Department of Metabolism and Nutrition. Institute of Food Science, Technology and Nutrition (ICTAN), Spanish National Research Council (CSIC). Madrid, Spain
| | - Julian García-Feijoo
- Ophthalmology Department. Instituto de investigación sanitaria del Hospital Clínico San Carlos (IdISSC). IIORC. Universidad Complutense. Madrid, Spain
| | - Jose Maria Martinez-de-la-Casa
- Ophthalmology Department. Instituto de investigación sanitaria del Hospital Clínico San Carlos (IdISSC). IIORC. Universidad Complutense. Madrid, Spain
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Li J, Guan X, Fan Z, Ching LM, Li Y, Wang X, Cao WM, Liu DX. Non-Invasive Biomarkers for Early Detection of Breast Cancer. Cancers (Basel) 2020; 12:E2767. [PMID: 32992445 PMCID: PMC7601650 DOI: 10.3390/cancers12102767] [Citation(s) in RCA: 85] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Revised: 09/23/2020] [Accepted: 09/24/2020] [Indexed: 12/24/2022] Open
Abstract
Breast cancer is the most common cancer in women worldwide. Accurate early diagnosis of breast cancer is critical in the management of the disease. Although mammogram screening has been widely used for breast cancer screening, high false-positive and false-negative rates and radiation from mammography have always been a concern. Over the last 20 years, the emergence of "omics" strategies has resulted in significant advances in the search for non-invasive biomarkers for breast cancer diagnosis at an early stage. Circulating carcinoma antigens, circulating tumor cells, circulating cell-free tumor nucleic acids (DNA or RNA), circulating microRNAs, and circulating extracellular vesicles in the peripheral blood, nipple aspirate fluid, sweat, urine, and tears, as well as volatile organic compounds in the breath, have emerged as potential non-invasive diagnostic biomarkers to supplement current clinical approaches to earlier detection of breast cancer. In this review, we summarize the current progress of research in these areas.
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Affiliation(s)
- Jiawei Li
- The Centre for Biomedical and Chemical Sciences, School of Science, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland 1010, New Zealand; (J.L.); (X.G.); (Y.L.)
| | - Xin Guan
- The Centre for Biomedical and Chemical Sciences, School of Science, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland 1010, New Zealand; (J.L.); (X.G.); (Y.L.)
- Department of Breast Surgery, the First Hospital of Jilin University, Jilin University, Changchun 130021, China;
| | - Zhimin Fan
- Department of Breast Surgery, the First Hospital of Jilin University, Jilin University, Changchun 130021, China;
| | - Lai-Ming Ching
- Auckland Cancer Society Research Centre, Faculty of Medical and Health Sciences, University of Auckland, Auckland 1023, New Zealand;
| | - Yan Li
- The Centre for Biomedical and Chemical Sciences, School of Science, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland 1010, New Zealand; (J.L.); (X.G.); (Y.L.)
| | - Xiaojia Wang
- Department of Breast Medical Oncology, Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital & Institute of Cancer and Basic Medicine (IBMC), Chinese Academy of Sciences, Hangzhou 310022, China;
| | - Wen-Ming Cao
- Department of Breast Medical Oncology, Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital & Institute of Cancer and Basic Medicine (IBMC), Chinese Academy of Sciences, Hangzhou 310022, China;
| | - Dong-Xu Liu
- The Centre for Biomedical and Chemical Sciences, School of Science, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland 1010, New Zealand; (J.L.); (X.G.); (Y.L.)
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Yang H, Yang X, Wang Y, Zheng X, Zhang Y, Shao Y. Comparative analysis of the tear protein profile in herpes simplex virus type 1 epithelial keratitis. BMC Ophthalmol 2020; 20:355. [PMID: 32867704 PMCID: PMC7461310 DOI: 10.1186/s12886-020-01626-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2020] [Accepted: 08/25/2020] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Herpes simplex virus type 1 (HSV-1) keratitis is a major cause of corneal blindness in the world, and an in-depth understanding of its pathogenesis may help improve existing diagnosis and treatment. The purpose of this study is to compare and analysis the total tear protein profile of HSV-1 epithelial keratitis patients, and to quantify the potential candidate biomarkers of HSV-1 epithelial keratitis. METHODS We investigated the proteome in tear fluid from three HSV-1 epithelial keratitis patients and three healthy control subjects using nano-scale liquid chromatography-tandem mass spectrometry (nLC-MS/MS) analysis. Functional annotation of differentially expressed proteins was done with the Gene Ontology (GO) analysis. ELISA was done to quantify the potential candidate biomarkers in 26 clinical cases. RESULTS Tear fluid from three HSV-1 epithelial keratitis patients and three healthy control subjects contained a total of 1275 proteins and 326 proteins were unique to tear fluid of HSV-1 epithelial keratitis patients. Bioinformatics analysis revealed that tear proteins from HSV-1 epithelial keratitis patients may be involved in metabolic processes, antigen presentation, inflammatory response, and in the TNF-mediated and T cell receptor pathways. Furthermore, IL1A, IL12B, DEFB4A, and CAMP, which are associated with the inflammatory response and inhibition of viral infection, were significantly more abundant in the HSV-1 epithelial keratitis patients than in the healthy control subjects. CONCLUSIONS This study reports the proteomic profile of tears in HSV-1 epithelial keratitis for the first time and identifies a number of unique differentially expressed proteins.
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Affiliation(s)
- Hua Yang
- Department of Ophthalmology, Xi'an No.1 Hospital, Xi'an, 710002, Shaanxi Province, China
- Shaanxi Institute of Ophthalmology, Xi'an, 710002, Shaanxi Province, China
- Shaanxi Key Laboratory of Ophthalmology, Xi'an, 710002, Shaanxi Province, China
- Clinical Research Center for Ophthalmology Diseases of Shaanxi Province, Xi'an, 710002, Shaanxi Province, China
- First Affiliated Hospital of Northwestern University, Xi'an, 710002, Shaanxi Province, China
| | - Xiaozhao Yang
- Department of Ophthalmology, Xi'an No.1 Hospital, Xi'an, 710002, Shaanxi Province, China.
- Shaanxi Institute of Ophthalmology, Xi'an, 710002, Shaanxi Province, China.
- Shaanxi Key Laboratory of Ophthalmology, Xi'an, 710002, Shaanxi Province, China.
- Clinical Research Center for Ophthalmology Diseases of Shaanxi Province, Xi'an, 710002, Shaanxi Province, China.
- First Affiliated Hospital of Northwestern University, Xi'an, 710002, Shaanxi Province, China.
| | - Yani Wang
- Department of Ophthalmology, Xi'an No.1 Hospital, Xi'an, 710002, Shaanxi Province, China
- Shaanxi Institute of Ophthalmology, Xi'an, 710002, Shaanxi Province, China
- Shaanxi Key Laboratory of Ophthalmology, Xi'an, 710002, Shaanxi Province, China
- Clinical Research Center for Ophthalmology Diseases of Shaanxi Province, Xi'an, 710002, Shaanxi Province, China
- First Affiliated Hospital of Northwestern University, Xi'an, 710002, Shaanxi Province, China
| | - Xuan Zheng
- Department of Ophthalmology, Xi'an No.1 Hospital, Xi'an, 710002, Shaanxi Province, China
- Shaanxi Institute of Ophthalmology, Xi'an, 710002, Shaanxi Province, China
- Shaanxi Key Laboratory of Ophthalmology, Xi'an, 710002, Shaanxi Province, China
- Clinical Research Center for Ophthalmology Diseases of Shaanxi Province, Xi'an, 710002, Shaanxi Province, China
- First Affiliated Hospital of Northwestern University, Xi'an, 710002, Shaanxi Province, China
| | - Yi Zhang
- Department of Ophthalmology, Xi'an No.1 Hospital, Xi'an, 710002, Shaanxi Province, China
- Shaanxi Institute of Ophthalmology, Xi'an, 710002, Shaanxi Province, China
- Shaanxi Key Laboratory of Ophthalmology, Xi'an, 710002, Shaanxi Province, China
- Clinical Research Center for Ophthalmology Diseases of Shaanxi Province, Xi'an, 710002, Shaanxi Province, China
- First Affiliated Hospital of Northwestern University, Xi'an, 710002, Shaanxi Province, China
| | - Yan Shao
- Department of Ophthalmology, Xi'an No.1 Hospital, Xi'an, 710002, Shaanxi Province, China
- Shaanxi Institute of Ophthalmology, Xi'an, 710002, Shaanxi Province, China
- Shaanxi Key Laboratory of Ophthalmology, Xi'an, 710002, Shaanxi Province, China
- Clinical Research Center for Ophthalmology Diseases of Shaanxi Province, Xi'an, 710002, Shaanxi Province, China
- First Affiliated Hospital of Northwestern University, Xi'an, 710002, Shaanxi Province, China
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Liskova A, Samec M, Koklesova L, Giordano FA, Kubatka P, Golubnitschaja O. Liquid Biopsy is Instrumental for 3PM Dimensional Solutions in Cancer Management. J Clin Med 2020; 9:E2749. [PMID: 32854390 PMCID: PMC7563444 DOI: 10.3390/jcm9092749] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Revised: 08/17/2020] [Accepted: 08/20/2020] [Indexed: 02/06/2023] Open
Abstract
One in every four deaths is due to cancer in Europe. In view of its increasing incidence, cancer became the leading cause of death and disease burden in Denmark, France, the Netherlands, and the UK. Without essential improvements in cancer prevention, an additional 775,000 cases of annual incidence have been prognosed until 2040. Between 1995 and 2018, the direct costs of cancer doubled from EUR 52 billion to EUR 103 billion in Europe, and per capita health spending on cancer increased by 86% from EUR 105 to EUR 195 in general, whereby Austria, Germany, Switzerland, Benelux, and France spend the most on cancer care compared to other European countries. In view of the consequent severe socio-economic burden on society, the paradigm change from a reactive to a predictive, preventive, and personalized medical approach in the overall cancer management is essential. Concepts of predictive, preventive, and personalized medicine (3PM) demonstrate a great potential to revise the above presented trends and to implement cost-effective healthcare that benefits the patient and society as a whole. At any stage, application of early and predictive diagnostics, targeted prevention, and personalization of medical services are basic pillars making 3PM particularly attractive for the patients as well as ethical and cost-effective healthcare. Optimal 3PM approach requires novel instruments such as well-designed liquid biopsy application. This review article highlights current achievements and details liquid biopsy approaches specifically in cancer management. 3PM-relevant expert recommendations are provided.
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Affiliation(s)
- Alena Liskova
- Department of Obstetrics and Gynecology, Jessenius Faculty of Medicine, Comenius University in Bratislava, 036 01 Martin, Slovakia; (A.L.); (M.S.); (L.K.)
| | - Marek Samec
- Department of Obstetrics and Gynecology, Jessenius Faculty of Medicine, Comenius University in Bratislava, 036 01 Martin, Slovakia; (A.L.); (M.S.); (L.K.)
| | - Lenka Koklesova
- Department of Obstetrics and Gynecology, Jessenius Faculty of Medicine, Comenius University in Bratislava, 036 01 Martin, Slovakia; (A.L.); (M.S.); (L.K.)
| | - Frank A. Giordano
- Department of Radiation Oncology, University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, 53127 Bonn, Germany;
| | - Peter Kubatka
- Department of Medical Biology, Jessenius Faculty of Medicine, Comenius University in Bratislava, 036 01 Martin, Slovakia;
| | - Olga Golubnitschaja
- Predictive, Preventive and Personalised (3P) Medicine, Department of Radiation Oncology, University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, 53127 Bonn, Germany
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Macklin A, Khan S, Kislinger T. Recent advances in mass spectrometry based clinical proteomics: applications to cancer research. Clin Proteomics 2020; 17:17. [PMID: 32489335 PMCID: PMC7247207 DOI: 10.1186/s12014-020-09283-w] [Citation(s) in RCA: 150] [Impact Index Per Article: 37.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2019] [Accepted: 05/15/2020] [Indexed: 02/07/2023] Open
Abstract
Cancer biomarkers have transformed current practices in the oncology clinic. Continued discovery and validation are crucial for improving early diagnosis, risk stratification, and monitoring patient response to treatment. Profiling of the tumour genome and transcriptome are now established tools for the discovery of novel biomarkers, but alterations in proteome expression are more likely to reflect changes in tumour pathophysiology. In the past, clinical diagnostics have strongly relied on antibody-based detection strategies, but these methods carry certain limitations. Mass spectrometry (MS) is a powerful method that enables increasingly comprehensive insights into changes of the proteome to advance personalized medicine. In this review, recent improvements in MS-based clinical proteomics are highlighted with a focus on oncology. We will provide a detailed overview of clinically relevant samples types, as well as, consideration for sample preparation methods, protein quantitation strategies, MS configurations, and data analysis pipelines currently available to researchers. Critical consideration of each step is necessary to address the pressing clinical questions that advance cancer patient diagnosis and prognosis. While the majority of studies focus on the discovery of clinically-relevant biomarkers, there is a growing demand for rigorous biomarker validation. These studies focus on high-throughput targeted MS assays and multi-centre studies with standardized protocols. Additionally, improvements in MS sensitivity are opening the door to new classes of tumour-specific proteoforms including post-translational modifications and variants originating from genomic aberrations. Overlaying proteomic data to complement genomic and transcriptomic datasets forges the growing field of proteogenomics, which shows great potential to improve our understanding of cancer biology. Overall, these advancements not only solidify MS-based clinical proteomics' integral position in cancer research, but also accelerate the shift towards becoming a regular component of routine analysis and clinical practice.
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Affiliation(s)
- Andrew Macklin
- Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - Shahbaz Khan
- Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - Thomas Kislinger
- Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Canada
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42
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Graham KL, Diefenbach E, McCowan CI, White AJR. A technique for shotgun proteomic analysis of the precorneal tear film in dogs with naturally occurring primary glaucoma. Vet Ophthalmol 2020; 24 Suppl 1:131-145. [PMID: 32364655 DOI: 10.1111/vop.12765] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Revised: 03/27/2020] [Accepted: 03/31/2020] [Indexed: 11/29/2022]
Abstract
OBJECTIVE To introduce a protocol for the characterization of protein patterns in tears of dogs with primary angle closure glaucoma (PACG) and primary open-angle glaucoma (POAG). ANIMALS Nineteen dogs (25 eyes). METHODS Tear samples were collected using a Schirmer tear strip, from dogs with PACG (PACG-affected eyes, n = 8; unaffected eyes predisposed to PACG, n = 7), POAG (n = 4), and healthy controls (n = 6). Protein precipitation and trypsin digestion were performed for analyses via liquid chromatography-tandem mass spectrometry. Proteins were identified using the SwissProt protein sequence database. Relative protein expression in 17 eyes (15 dogs) was evaluated using Proteome Discoverer 2.0. Pathway analyses were performed to investigate molecular mechanisms associated with primary glaucoma. RESULTS Unique peptides were identified in 505 proteins, with Major allergen Can f 1 and albumin identified with high confidence. Proteins unique to tears from diseased eyes (PACG: n = 7; POAG: n = 14) were identified. Nucleoside diphosphate was unique to tears in PACG eyes naïve to therapy, while retinal binding protein and NSFL1 cofactor p47 were unique to medicated PACG eyes. Relative expression of 34 proteins differed between disease states. Pathway analyses identified that the 'inflammatory response' was among the top disease/disorders in dogs with primary glaucoma (PACG and POAG) but not in healthy controls. CONCLUSION Tear samples suitable for mass spectrometry were readily obtained from pet dogs without needing specialized equipment. Further studies to validate the findings and explore potential candidate biomarkers for early disease detection and potential therapeutic targets are indicated.
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Affiliation(s)
- Kathleen L Graham
- Clinical Ophthalmology and Eye Health, Sydney Medical School, University of Sydney, Sydney, NSW, Australia
| | - Eve Diefenbach
- Westmead Proteomics Facility, Westmead Institute for Medical Research, Westmead, NSW, Australia
| | - Christina I McCowan
- University of Melbourne Veterinary Hospital, University of Melbourne, Melbourne, Vic, Australia.,Department of Jobs, Precincts and Regions, Victoria State Government, Melbourne, Vic, Australia
| | - Andrew J R White
- Clinical Ophthalmology and Eye Health, Sydney Medical School, University of Sydney, Sydney, NSW, Australia.,Centre of Vision Research, Westmead Institute for Medical Research, Westmead, NSW, Australia
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Kim S, Kim TG, Lee SH, Kim W, Bang A, Moon SW, Song J, Shin JH, Yu JS, Choi S. Label-Free Surface-Enhanced Raman Spectroscopy Biosensor for On-Site Breast Cancer Detection Using Human Tears. ACS APPLIED MATERIALS & INTERFACES 2020; 12:7897-7904. [PMID: 31971765 DOI: 10.1021/acsami.9b19421] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
Surface-enhanced Raman scattering (SERS) is an ultrasensitive molecular screening technique with greatly enhanced Raman scattering signals from trace amounts of analytes near plasmonic nanostructures. However, research on the development of a sensor that balances signal enhancement, reproducibility, and uniformity has not yet been proposed for practical applications. In this study, we demonstrate the potential of the practical application for detecting or predicting asymptomatic breast cancer from human tears using a portable Raman spectrometer with an identification algorithm based on multivariate statistics. This potentiality was realized through the fabrication of a plasmonic SERS substrate equipped with a well-aligned, gold-decorated, hexagonal-close-packed polystyrene (Au/HCP-PS) nanosphere monolayer that provided femtomole-scale detection, giga-scale enhancement, and <5% relative standard deviation for reliability and reproducibility, regardless of the measuring site. Our results can provide a first step toward developing a noninvasive, real-time screening technology for detecting asymptomatic tumors and preventing tumor recurrence.
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Affiliation(s)
- Soogeun Kim
- Department of Biomedical Engineering, College of Medicine , Kyung Hee University , Seoul 02447 , South Korea
| | - Tae Gi Kim
- Department of Ophthalmology, College of Medicine , Kyung Hee University , Seoul 02447 , South Korea
| | - Soo Hyun Lee
- Department of Electronic Engineering, Institute for Wearable Convergence Electronics , Kyung Hee University , Gyeonggi-do 17104 , South Korea
| | - Wansun Kim
- Department of Biomedical Engineering, College of Medicine , Kyung Hee University , Seoul 02447 , South Korea
| | - Ayoung Bang
- Department of Biomedical Engineering, College of Medicine , Kyung Hee University , Seoul 02447 , South Korea
| | - Sang Woong Moon
- Department of Ophthalmology, College of Medicine , Kyung Hee University , Seoul 02447 , South Korea
| | - Jeongyoon Song
- Department of Surgery, College of Medicine , Kyung Hee University , Seoul 02447 , South Korea
| | - Jae-Ho Shin
- Department of Ophthalmology, College of Medicine , Kyung Hee University , Seoul 02447 , South Korea
| | - Jae Su Yu
- Department of Electronic Engineering, Institute for Wearable Convergence Electronics , Kyung Hee University , Gyeonggi-do 17104 , South Korea
| | - Samjin Choi
- Department of Biomedical Engineering, College of Medicine , Kyung Hee University , Seoul 02447 , South Korea
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Takke A, Shende P. Non-invasive Biodiversified Sensors: A Modernized Screening Technology for Cancer. Curr Pharm Des 2019; 25:4108-4120. [DOI: 10.2174/1381612825666191022162232] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Accepted: 10/14/2019] [Indexed: 01/30/2023]
Abstract
Background:
Biological sensors revolutionize the method of diagnoses of diseases from early to final
stages using the biomarkers present in the body. Biosensors are advantageous due to the involvement of minimal
sample collection with improved specificity and sensitivity for the detection of biomarkers.
Methods:
Conventional biopsies restrict problems like patient non-compliance, cross-infection and high cost and to
overcome these issues biological samples like saliva, sweat, urine, tears and sputum progress into clinical and diagnostic
research for the development of non-invasive biosensors. This article covers various non-invasive measurements
of biological samples, optical-based, mass-based, wearable and smartphone-based biosensors for the detection
of cancer.
Results:
The demand for non-invasive, rapid and economic analysis techniques escalated due to the modernization
of the introduction of self-diagnostics and miniature forms of devices. Biosensors have high sensitivity and
specificity for whole cells, microorganisms, enzymes, antibodies, and genetic materials.
Conclusion:
Biosensors provide a reliable early diagnosis of cancer, which results in faster therapeutic outcomes
with in-depth fundamental understanding of the disease progression.
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Affiliation(s)
- Anjali Takke
- Shobhaben Pratapbhai Patel School of Pharmacy and Technology Management, SVKM's NMIMS, V. L. Mehta Road, Vile Parle (W), Mumbai, India
| | - Pravin Shende
- Shobhaben Pratapbhai Patel School of Pharmacy and Technology Management, SVKM's NMIMS, V. L. Mehta Road, Vile Parle (W), Mumbai, India
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Breast Cancer in Young Women: Status Quo and Advanced Disease Management by a Predictive, Preventive, and Personalized Approach. Cancers (Basel) 2019; 11:cancers11111791. [PMID: 31739537 PMCID: PMC6896106 DOI: 10.3390/cancers11111791] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Revised: 11/08/2019] [Accepted: 11/12/2019] [Indexed: 12/24/2022] Open
Abstract
Why does healthcare of breast cancer (BC) patients, especially in a young population, matter and why are innovative strategies by predictive, preventive, and personalized medicine (PPPM) strongly recommended to replace current reactive medical approach in BC management? Permanent increase in annual numbers of new BC cases with particularly quick growth of premenopausal BC patients, an absence of clearly described risk factors for those patients, as well as established screening tools and programs represent important reasons to focus on BC in young women. Moreover, "young" BC cases are frequently "asymptomatic", difficult to diagnose, and to treat effectively on time. The objective of this article is to update the knowledge on BC in young females, its unique molecular signature, newest concepts in diagnostics and therapy, and to highlight the concepts of predictive, preventive, and personalized medicine with a well-acknowledged potential to advance the overall disease management.
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Moreddu R, Vigolo D, Yetisen AK. Contact Lens Technology: From Fundamentals to Applications. Adv Healthc Mater 2019; 8:e1900368. [PMID: 31183972 DOI: 10.1002/adhm.201900368] [Citation(s) in RCA: 105] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Revised: 05/20/2019] [Indexed: 12/29/2022]
Abstract
Contact lenses are ocular prosthetic devices used by over 150 million people worldwide. Primary applications of contact lenses include vision correction, therapeutics, and cosmetics. Contact lens materials have significantly evolved over time to minimize adverse effects associated with contact lens wearing, to maintain a regular corneal metabolism, and to preserve tear film stability. This article encompasses contact lens technology, including materials, chemical and physical properties, manufacturing processes, microbial contamination, and ocular complications. The function and the composition of the tear fluid are discussed to assess its potential as a diagnostic media. The regulatory standards of contact lens devices with regard to biocompatibility and contact lens market are presented. Future prospects in contact lens technology are evaluated, with particular interest given to theranostic applications for in situ continuous monitoring the ocular physiology.
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Affiliation(s)
- Rosalia Moreddu
- Department of Chemical EngineeringImperial College London SW7 2AZ London UK
- School of Chemical EngineeringUniversity of Birmingham B15 2TT Birmingham UK
| | - Daniele Vigolo
- School of Chemical EngineeringUniversity of Birmingham B15 2TT Birmingham UK
| | - Ali K. Yetisen
- Department of Chemical EngineeringImperial College London SW7 2AZ London UK
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47
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Aslebagh R, Channaveerappa D, Arcaro KF, Darie CC. Proteomics analysis of human breast milk to assess breast cancer risk. Electrophoresis 2018; 39:653-665. [PMID: 29193311 DOI: 10.1002/elps.201700123] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2017] [Revised: 11/13/2017] [Accepted: 11/14/2017] [Indexed: 12/19/2022]
Abstract
Detection of breast cancer (BC) in young women is challenging because mammography, the most common tool for detecting BC, is not effective on the dense breast tissue characteristic of young women. In addition to the limited means for detecting their BC, young women face a transient increased risk of pregnancy-associated BC. As a consequence, reproductively active women could benefit significantly from a tool that provides them with accurate risk assessment and early detection of BC. One potential method for detection of BC is biochemical monitoring of proteins and other molecules in bodily fluids such as serum, nipple aspirate, ductal lavage, tear, urine, saliva and breast milk. Of all these fluids, only breast milk provides access to a large volume of breast tissue, in the form of exfoliated epithelial cells, and to the local breast environment, in the form of molecules in the milk. Thus, analysis of breast milk is a non-invasive method with significant potential for assessing BC risk. Here we analyzed human breast milk by mass spectrometry (MS)-based proteomics to build a biomarker signature for early detection of BC. Ten milk samples from eight women provided five paired-groups (cancer versus control) for analysis of dysregulatedproteins: two within woman comparisons (milk from a diseased breast versus a healthy breast of the same woman) and three across women comparisons (milk from a woman with cancer versus a woman without cancer). Despite a wide range in the time between milk donation and cancer diagnosis (cancer diagnosis occurred from 1 month before to 24 months after milk donation), the levels of some proteins differed significantly between cancer and control in several of the five comparison groups. These pilot data are supportive of the idea that molecular analysis of breast milk will identify proteins informative for early detection and accurate assessment of BC risk, and warrant further research. Data are available via ProteomeXchange with identifier PXD007066.
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Affiliation(s)
- Roshanak Aslebagh
- Biochemistry & Proteomics Group, Department of Chemistry & Biomolecular Science, Clarkson University, Potsdam, NY, USA
| | - Devika Channaveerappa
- Biochemistry & Proteomics Group, Department of Chemistry & Biomolecular Science, Clarkson University, Potsdam, NY, USA
| | - Kathleen F Arcaro
- Department of Veterinary & Animal Sciences, University of Massachusetts, Amherst, MA, USA
| | - Costel C Darie
- Biochemistry & Proteomics Group, Department of Chemistry & Biomolecular Science, Clarkson University, Potsdam, NY, USA
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48
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Angeles-Han ST, Yeh S, Patel P, Duong D, Jenkins K, Rouster-Stevens KA, Altaye M, Fall N, Thornton S, Prahalad S, Holland GN. Discovery of tear biomarkers in children with chronic non-infectious anterior uveitis: a pilot study. J Ophthalmic Inflamm Infect 2018; 8:17. [PMID: 30327966 PMCID: PMC6191408 DOI: 10.1186/s12348-018-0156-5] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2018] [Accepted: 09/06/2018] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Biomarkers in easily obtained specimens that accurately predict uveitis in children with juvenile idiopathic arthritis (JIA) are needed. Aqueous humor has been studied for biomarkers, but is not routinely available. We evaluated tears from children with chronic anterior uveitis (CAU) for biomarkers reported in aqueous humor. In this pilot study, we used Schirmer strips to collect tears from seven children (nine eyes); three children had JIA- associated uveitis (JIA-U) and four had idiopathic disease (I-CAU). Liquid chromatography-tandem mass spectrometry was used to identify and quantify tear proteins. The Mann-Whitney U test identified differential tear protein expression between children with JIA-U and those with I-CAU. RESULTS S100A9, LAP3, TTR, MIF, sCD14, S100A8, and SAA1 were detected in tears of all children; the same cytokines have been reported in aqueous humor of children with JIA-U. Tears from children with JIA-U had higher expression of proteins associated with inflammatory arthritis (SEMA3G, TIMP1, HEXB, ERN1, and SAA1) than tears from those with I-CAU. In addition, we found higher expression of sCD14, S100A8, and SAA1, but lower expression of S100A9, LAP3, TTR, and MIF, in tears from children with JIA-U compared to tears from those with I-CAU. CONCLUSIONS Tears contain similar cytokine profiles to aqueous humor in children with CAU and may be a clinically useful source of disease biomarkers. Tears from children with JIA-U also contain cytokines associated with inflammatory arthritis; furthermore, differential expression of other tear proteins as well may provide clues to intrinsic differences between JIA-U and I-CAU, despite their similar clinical phenotypes.
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Affiliation(s)
- Sheila T Angeles-Han
- Division of Rheumatology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, MLC 4010, Cincinnati, OH, 45229, USA.
- Department of Pediatrics, University of Cincinnati, Cincinnati, OH, USA.
| | - Steven Yeh
- Department of Ophthalmology, Emory Eye Center, Emory University School of Medicine, 1365 Clifton Rd B, Atlanta, GA, 30322, USA
| | - Purnima Patel
- Department of Ophthalmology, Emory Eye Center, Emory University School of Medicine, 1365 Clifton Rd B, Atlanta, GA, 30322, USA
| | - Duc Duong
- Emory Integrated Proteomics Core, Emory University, 1510 Clifton Rd, Atlanta, GA, 30322, USA
| | - Kirsten Jenkins
- Childrens Healthcare of Atlanta, Emory Children's Center, 2015 Uppergate Drive, Atlanta, GA, 30322, USA
| | - Kelly A Rouster-Stevens
- Childrens Healthcare of Atlanta, Emory Children's Center, 2015 Uppergate Drive, Atlanta, GA, 30322, USA
- Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, USA
| | - Mekibib Altaye
- Department of Pediatrics, University of Cincinnati, Cincinnati, OH, USA
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, University of Cincinnati, 3333 Burnet Avenue, MLC 5041, Cincinnati, OH, 45229, USA
| | - Ndate Fall
- Division of Rheumatology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, MLC 4010, Cincinnati, OH, 45229, USA
- Department of Pediatrics, University of Cincinnati, Cincinnati, OH, USA
| | - Sherry Thornton
- Division of Rheumatology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, MLC 4010, Cincinnati, OH, 45229, USA
- Department of Pediatrics, University of Cincinnati, Cincinnati, OH, USA
| | - Sampath Prahalad
- Childrens Healthcare of Atlanta, Emory Children's Center, 2015 Uppergate Drive, Atlanta, GA, 30322, USA
- Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, USA
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA
| | - Gary N Holland
- UCLA Stein Eye Institute and David Geffen School of Medicine at University of California, 100 Stein Plaza, Los Angeles, CA, 90095-7000, USA
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49
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Tseng RC, Chen CC, Hsu SM, Chuang HS. Contact-Lens Biosensors. SENSORS (BASEL, SWITZERLAND) 2018; 18:E2651. [PMID: 30104496 PMCID: PMC6111605 DOI: 10.3390/s18082651] [Citation(s) in RCA: 54] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/12/2018] [Revised: 08/06/2018] [Accepted: 08/10/2018] [Indexed: 12/14/2022]
Abstract
Rapid diagnosis and screening of diseases have become increasingly important in predictive and preventive medicine as they improve patient treatment strategies and reduce cost as well as burden on our healthcare system. In this regard, wearable devices are emerging as effective and reliable point-of-care diagnostics that can allow users to monitor their health at home. These wrist-worn, head-mounted, smart-textile, or smart-patches devices can offer valuable information on the conditions of patients as a non-invasive form of monitoring. However, they are significantly limited in monitoring physiological signals and biomechanics, and, mostly, rely on the physical attributes. Recently, developed wearable devices utilize body fluids, such as sweat, saliva, or skin interstitial fluid, and electrochemical interactions to allow continuous physiological condition and disease monitoring for users. Among them, tear fluid has been widely utilized in the investigation of ocular diseases, diabetes, and even cancers, because of its easy accessibility, lower complexity, and minimal invasiveness. By determining the concentration change of analytes within the tear fluid, it would be possible to identify disease progression and allow patient-oriented therapies. Considering the emerging trend of tear-based biosensing technology, this review article aims to focus on an overview of the tear fluid as a detection medium for certain diseases, such as ocular disorders, diabetes, and cancer. In addition, the rise and application of minimally invasive detection and monitoring via integrated contact lens biosensors will also be addressed, in regards to their practicality and current developmental progress.
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Affiliation(s)
- Ryan Chang Tseng
- Department of Biomedical Engineering, National Cheng Kung University, Tainan City 701, Taiwan.
| | - Ching-Chuen Chen
- Department of Biomedical Engineering, National Cheng Kung University, Tainan City 701, Taiwan.
| | - Sheng-Min Hsu
- Department of Ophthalmology, National Cheng Kung University Hospital, Tainan City 704, Taiwan.
| | - Han-Sheng Chuang
- Department of Biomedical Engineering, National Cheng Kung University, Tainan City 701, Taiwan.
- Medical Device Innovation Center, National Cheng Kung University, Tainan City 701, Taiwan.
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50
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Tang Q, Zhang C, Wu X, Duan W, Weng W, Feng J, Mao Q, Chen S, Jiang J, Gao G. Comprehensive Proteomic Profiling of Patients' Tears Identifies Potential Biomarkers for the Traumatic Vegetative State. Neurosci Bull 2018; 34:626-638. [PMID: 30019218 DOI: 10.1007/s12264-018-0259-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2018] [Accepted: 06/22/2018] [Indexed: 01/03/2023] Open
Abstract
The vegetative state is a complex condition with unclear mechanisms and limited diagnostic, prognostic, and therapeutic methods. In this study, we aimed to explore the proteomic profile of tears from patients in a traumatic vegetative state and identify potential diagnostic markers using tears-a body fluid that can be collected non-invasively. Using iTRAQ quantitative proteomic technology, in the discovery phase, tear samples collected from 16 patients in a traumatic vegetative state and 16 normal individuals were analyzed. Among 1080 identified tear proteins, 57 were upregulated and 15 were downregulated in the patients compared to the controls. Bioinformatics analysis revealed that the differentially-expressed proteins were mainly involved in the wound response and immune response signaling pathways. Furthermore, we verified the levels of 7 differentially-expressed proteins in tears from 50 traumatic vegetative state patients and 50 normal controls (including the samples used in the discovery phase) using ELISA. The results showed that this 7-protein panel had a high discrimination ability for traumatic vegetative state (area under the curve = 0.999). In summary, the altered tear proteomic profile identified in this study provides a basis for potential tear protein markers for diagnosis and prognosis of the traumatic vegetative state and also provides novel insights into the mechanisms of traumatic vegetative state.
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Affiliation(s)
- Qilin Tang
- Department of Neurosurgery, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
- Shanghai Head Trauma Institute, Shanghai, 200127, China
| | - Chao Zhang
- Department of Neurosurgery, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
- Shanghai Head Trauma Institute, Shanghai, 200127, China
| | - Xiang Wu
- Department of Neurosurgery, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
- Shanghai Head Trauma Institute, Shanghai, 200127, China
| | - Wenbin Duan
- Department of Neurosurgery, Baoshan People's Hospital, Baoshan, 678000, China
| | - Weiji Weng
- Department of Neurosurgery, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
- Shanghai Head Trauma Institute, Shanghai, 200127, China
| | - Junfeng Feng
- Department of Neurosurgery, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
- Shanghai Head Trauma Institute, Shanghai, 200127, China
| | - Qing Mao
- Department of Neurosurgery, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
- Shanghai Head Trauma Institute, Shanghai, 200127, China
| | - Shubin Chen
- Department of Neurology, Anda Hospital, Shanghai, 201204, China
| | - Jiyao Jiang
- Department of Neurosurgery, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
- Shanghai Head Trauma Institute, Shanghai, 200127, China
| | - Guoyi Gao
- Department of Neurosurgery, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China.
- Shanghai Head Trauma Institute, Shanghai, 200127, China.
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