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Li J, Yu H, Zhao J, Qiao X, Chen X, Lu Z, Li Q, Lin H, Wu W, Zeng W, Yang Z, Feng Y. Metal-Organic Framework-Based Surface-Enhanced Raman Scattering Sensing Platform for Trace Malondialdehyde Detection in Tears. NANO LETTERS 2024; 24:7792-7799. [PMID: 38860501 DOI: 10.1021/acs.nanolett.4c01978] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2024]
Abstract
Disease biomarkers in tears are crucial for clinical diagnosis and health monitoring. However, the limited volume of tear samples, low concentration of tear biomarkers, and complex tear composition present challenges for precise testing. We introduce a spot-on testing platform of metal-organic framework (MOF)-based surface-enhanced Raman scattering (SERS) capillary column, which is capable of target molecules selective separation and enrichment for tear biomarkers in situ detection. It consists of Au nanostars for effective SERS signal and a porous MOF shell for separating impurities through molecular sieving effect. This platform allows for simultaneous collection and detection of tear, capturing the disease biomarker malondialdehyde in tears with a 9.38 × 10-9 mol/L limit of detection. Moreover, we designed a hand-held device based on this tubular SERS sensor, successfully diagnosing patients with dry eye disease. This functional capillary column enables noninvasive and rapid diagnosis of biomarkers in biofluids, providing potential for disease diagnosis and healthcare monitoring.
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Affiliation(s)
- Jinming Li
- Department of Materials Physics and Chemistry, School of Materials Science and Engineering, University of Science and Technology, Beijing 100083, P. R. China
- Department of Ophthalmology, Peking University Third Hospital, Beijing 100191, P. R. China
| | - Haozhe Yu
- Department of Ophthalmology, Peking University Third Hospital, Beijing 100191, P. R. China
| | - Jianming Zhao
- Department of Materials Physics and Chemistry, School of Materials Science and Engineering, University of Science and Technology, Beijing 100083, P. R. China
| | - Xuezhi Qiao
- School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan 250012, P. R. China
| | - Xiangyu Chen
- Institute of Environmental Engineering, ETH Zürich, Zürich 8093, Switzerland
| | - Zhaoxiang Lu
- Department of Ophthalmology, Peking University Third Hospital, Beijing 100191, P. R. China
| | - Qiaoyu Li
- Department of Ophthalmology, Peking University Third Hospital, Beijing 100191, P. R. China
| | - Haimiao Lin
- Department of Ophthalmology, Peking University Third Hospital, Beijing 100191, P. R. China
| | - Wenyu Wu
- Department of Ophthalmology, Peking University Third Hospital, Beijing 100191, P. R. China
| | - Weizhen Zeng
- Department of Ophthalmology, Peking University Third Hospital, Beijing 100191, P. R. China
| | - Zhou Yang
- Department of Materials Physics and Chemistry, School of Materials Science and Engineering, University of Science and Technology, Beijing 100083, P. R. China
| | - Yun Feng
- Department of Ophthalmology, Peking University Third Hospital, Beijing 100191, P. R. China
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Majid OW. Salivary lipid changes in young adult tobacco smokers and e-cigarette users: a hidden risk to oral health? Evid Based Dent 2024; 25:67-68. [PMID: 38509213 DOI: 10.1038/s41432-024-00998-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Accepted: 03/12/2024] [Indexed: 03/22/2024]
Abstract
STUDY DESIGN A cross-sectional, age- and gender-matched study was conducted to investigate the effects of different forms of nicotine delivery on salivary lipid profiles among young adult novice smokers compared to non-smokers. OBJECTIVE To assess the effect of smoking traditional cigarettes, e-cigarettes, and heated tobacco products (HTPs) on the levels of specific sphingolipids (sphingosine, sphinganine, and sphingosine-1-phosphate), various ceramides, and lipid peroxidation products [malondialdehyde (MDA) and 4-hydroxynonenal (4-HNE)] in both unstimulated and stimulated saliva samples collected from healthy young adults who had been smoking for 1-3 years and used only 1 of the 3 nicotine delivering methods. METHODS Selection criteria included healthy young adults under 30 years old, with normal BMI and typical diet composition, and with no oral inflammatory lesions, orthodontic/dental appliances, or recent intake of medications or supplements. A total of 75 smokers and 25 non-smokers were enrolled in the study. Smokers were categorized into three groups, each comprising 25 individuals: traditional cigarette smokers, e-cigarette users, and HTPs smokers. Saliva samples were collected and analyzed for sphingolipid concentrations using ultra-high-performance liquid chromatography-tandem mass spectrometry. The concentrations of MDA and 4-HNE were measured using colorimetric and ELISA assays, respectively. RESULTS The average smoking intensity in the traditional cigarette group was 10 cigarettes per day. Salivary sphingolipid and ceramides concentrations were significantly lower in smokers compared to non-smokers across all nicotine delivery methods (p < 0.0001). Moreover, traditional cigarette smokers exhibited higher levels of 4-HNE and MDA in both stimulated and unstimulated saliva, compared to non-smokers (p < 0.01). In stimulated saliva, both MDA and 4-HNE in e-cigarette users, and MDA in HTPs users, showed significantly lower concentrations than their comparators in traditional cigarette smokers (p < 0.01). CONCLUSION Different nicotine delivery methods impact salivary lipid profile during the initial period of smoking habit. Reduced sphingolipids and elevated lipid peroxidation products suggest a disturbed lipid balance in the oral cavity due to enhanced oxidative stress within the salivary glands of novice smokers.
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Affiliation(s)
- Omer Waleed Majid
- Department of Oral and Maxillofacial Surgery, College of Dentistry, Mosul University, Mosul, Iraq.
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Abodi M, Mazzocchi A, Risé P, Marangoni F, Agostoni C, Milani GP. Salivary fatty acids in humans: a comprehensive literature review. Clin Chem Lab Med 2024; 0:cclm-2024-0177. [PMID: 38634552 DOI: 10.1515/cclm-2024-0177] [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: 02/05/2024] [Accepted: 04/10/2024] [Indexed: 04/19/2024]
Abstract
Fatty acids (FAs) exert diverse biological functions in humans, influencing physiological responses and, ultimately, health and disease risk. The analysis of FAs in human samples has significant implications and attracts interest in diagnostics and research. The standard method for assessing FA profiles involves the collection of blood samples, which can be inconvenient, invasive, and potentially painful, particularly for young individuals outside hospital settings. Saliva emerged as a promising alternative for evaluating FA profiles in both clinical and research settings. However, to the best of our knowledge, an updated synthesis of the related evidence is unavailable. This comprehensive review aims to summarize data on FA analysis and highlight the potential of the use of salivary FAs as a biomarker in health and disease. Over the past decade, there has been a growing interest in studying salivary FAs in chronic diseases, and more recently, researchers have explored the prognostic value of FAs in acute conditions to check the availability of a non-invasive sampling methodology. A deeper understanding of salivary FAs could have relevant implications both for healthy individuals and patients, particularly in elucidating the correlation between the dietary lipidic content and salivary FA level, Finally, it is crucial to address the standardization of the methods as the sampling, processing, and analysis of saliva are heterogeneous among studies, and limited correlation between blood FAs and salivary FAs is available.
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Affiliation(s)
- Martina Abodi
- Department of Clinical Sciences and Community Health, 9304 University of Milan , Milan, Italy
| | - Alessandra Mazzocchi
- Department of Clinical Sciences and Community Health, 9304 University of Milan , Milan, Italy
| | - Patrizia Risé
- Department of Pharmaceutical Sciences, 9304 University of Milan , Milan, Italy
| | | | - Carlo Agostoni
- Department of Clinical Sciences and Community Health, 9304 University of Milan , Milan, Italy
- Pediatric Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Gregorio Paolo Milani
- Department of Clinical Sciences and Community Health, 9304 University of Milan , Milan, Italy
- Pediatric Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
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Zięba S, Błachnio-Zabielska A, Maciejczyk M, Pogodzińska K, Szuta M, Lo Giudice G, Lo Giudice R, Zalewska A. Impact of Smoking on Salivary Lipid Profile and Oxidative Stress in Young Adults: A Comparative Analysis between Traditional Cigarettes, E-Cigarettes, and Heat-Not-Burn Products. Med Sci Monit 2024; 30:e942507. [PMID: 38217285 PMCID: PMC10802080 DOI: 10.12659/msm.942507] [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: 09/11/2023] [Accepted: 10/31/2023] [Indexed: 01/15/2024] Open
Abstract
BACKGROUND Smoking nicotine is considered to be one of the most harmful addictions, leading to the development of a number of health complications, including many pathologies in the oral cavity. The aim of this study was to examine the effect of smoking traditional cigarettes, e-cigarettes, and heat-not-burn products on profiles of salivary lipids and lipid peroxidation products in the unstimulated and stimulated saliva of healthy young adults with a smoking habit of up to 3 years. MATERIAL AND METHODS We enrolled 3 groups of 25 smoking patients each and a control group matched for age, gender, and oral status. In saliva collected from patients from the study groups and participants from the control group, the concentrations of sphingolipids: sphingosine, sphinganine, sphingosine-1-phosphate, ceramides, and salivary lipid peroxidation products - malondialdehyde (MDA) and 4-hydroxynonenal (HNE) - were measured. The normality of distribution was assessed using the Shapiro-Wilk test. For comparison of the results, one-way analysis of variance (ANOVA) followed by post hoc Tukey test was used. RESULTS We demonstrated that each type of smoking causes a decrease in the concentration of salivary lipids, and there was an increased concentration of salivary MDA and 4-HNE. CONCLUSIONS Smoking in the initial period of addiction leads to an increase in the concentration of lipid peroxidation products through increased oxidative stress, leading to disturbance of the lipid balance of the oral cavity (eg, due to damage to cell membranes).
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Affiliation(s)
- Sara Zięba
- Independent Laboratory of Experimental Dentistry, Medical University of Białystok, Białystok, Poland
| | | | - Mateusz Maciejczyk
- Department of Hygiene, Epidemiology and Ergonomics, Medical University of Białystok, Białystok, Poland
| | - Karolina Pogodzińska
- Department of Hygiene, Epidemiology and Metabolic Disorders, Medical University of Białystok, Białystok, Poland
| | - Mariusz Szuta
- Department of Oral Surgery, Jagiellonian University Medical College, Cracow, Poland
| | - Giuseppe Lo Giudice
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, Messina University, Messina, Italy
| | - Roberto Lo Giudice
- Department of Human Pathology of the Adult and Evolutive Age. G. Barresi, Messina University, Messina, Italy
| | - Anna Zalewska
- Independent Laboratory of Experimental Dentistry, Medical University of Białystok, Białystok, Poland
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Storås AM, Fineide F, Magnø M, Thiede B, Chen X, Strümke I, Halvorsen P, Galtung H, Jensen JL, Utheim TP, Riegler MA. Using machine learning model explanations to identify proteins related to severity of meibomian gland dysfunction. Sci Rep 2023; 13:22946. [PMID: 38135766 PMCID: PMC10746717 DOI: 10.1038/s41598-023-50342-7] [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: 07/14/2023] [Accepted: 12/19/2023] [Indexed: 12/24/2023] Open
Abstract
Meibomian gland dysfunction is the most common cause of dry eye disease and leads to significantly reduced quality of life and social burdens. Because meibomian gland dysfunction results in impaired function of the tear film lipid layer, studying the expression of tear proteins might increase the understanding of the etiology of the condition. Machine learning is able to detect patterns in complex data. This study applied machine learning to classify levels of meibomian gland dysfunction from tear proteins. The aim was to investigate proteomic changes between groups with different severity levels of meibomian gland dysfunction, as opposed to only separating patients with and without this condition. An established feature importance method was used to identify the most important proteins for the resulting models. Moreover, a new method that can take the uncertainty of the models into account when creating explanations was proposed. By examining the identified proteins, potential biomarkers for meibomian gland dysfunction were discovered. The overall findings are largely confirmatory, indicating that the presented machine learning approaches are promising for detecting clinically relevant proteins. While this study provides valuable insights into proteomic changes associated with varying severity levels of meibomian gland dysfunction, it should be noted that it was conducted without a healthy control group. Future research could benefit from including such a comparison to further validate and extend the findings presented here.
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Affiliation(s)
- Andrea M Storås
- Department of Holistic Systems, Simula Metropolitan Center for Digital Engineering, Oslo, Norway.
- Department of Computer Science, OsloMet - Oslo Metropolitan University, Oslo, Norway.
| | - Fredrik Fineide
- Department of Computer Science, OsloMet - Oslo Metropolitan University, Oslo, Norway
- The Norwegian Dry Eye Clinic, Oslo, Bergen, Norway
| | - Morten Magnø
- Department of Ophthalmology, Sørlandet Hospital Arendal, Arendal, Norway
- Department of Plastic and Reconstructive Surgery, Oslo University Hospital, Oslo, Norway
| | - Bernd Thiede
- Department of Biosciences, University of Oslo, Oslo, Norway
| | - Xiangjun Chen
- Department of Ophthalmology, Sørlandet Hospital Arendal, Arendal, Norway
- Department of Medical Biochemistry, Oslo University Hospital, Oslo, Norway
- Department of Ophthalmology, Vestre Viken Hospital Trust, Drammen, Norway
| | - Inga Strümke
- Department of Computer Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Pål Halvorsen
- Department of Holistic Systems, Simula Metropolitan Center for Digital Engineering, Oslo, Norway
- Department of Computer Science, OsloMet - Oslo Metropolitan University, Oslo, Norway
| | - Hilde Galtung
- Institute of Oral Biology, University of Oslo, Oslo, Norway
| | - Janicke L Jensen
- Department of Oral Surgery and Oral Medicine, University of Oslo, Oslo, Norway
| | - Tor P Utheim
- Department of Computer Science, OsloMet - Oslo Metropolitan University, Oslo, Norway
- The Norwegian Dry Eye Clinic, Oslo, Bergen, Norway
- Department of Ophthalmology, Sørlandet Hospital Arendal, Arendal, Norway
- Department of Medical Biochemistry, Oslo University Hospital, Oslo, Norway
- Department of Ophthalmology, Oslo University Hospital, Oslo, Norway
| | - Michael A Riegler
- Department of Holistic Systems, Simula Metropolitan Center for Digital Engineering, Oslo, Norway
- Department of Computer Science, OsloMet - Oslo Metropolitan University, Oslo, Norway
- Department of Computer Science, UiT The Arctic University of Norway, Tromsø, Norway
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Dongiovanni P, Meroni M, Casati S, Goldoni R, Thomaz DV, Kehr NS, Galimberti D, Del Fabbro M, Tartaglia GM. Salivary biomarkers: novel noninvasive tools to diagnose chronic inflammation. Int J Oral Sci 2023; 15:27. [PMID: 37386003 DOI: 10.1038/s41368-023-00231-6] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 05/23/2023] [Accepted: 06/05/2023] [Indexed: 07/01/2023] Open
Abstract
Several chronic disorders including type 2 diabetes (T2D), obesity, heart disease and cancer are preceded by a state of chronic low-grade inflammation. Biomarkers for the early assessment of chronic disorders encompass acute phase proteins (APP), cytokines and chemokines, pro-inflammatory enzymes, lipids and oxidative stress mediators. These substances enter saliva through the blood flow and, in some cases, there is a close relation between their salivary and serum concentration. Saliva can be easily collected and stored with non-invasive and cost-saving procedures, and it is emerging the concept to use it for the detection of inflammatory biomarkers. To this purpose, the present review aims to discuss the advantages and challenges of using standard and cutting-edge techniques to discover salivary biomarkers which may be used in diagnosis/therapy of several chronic diseases with inflammatory consequences with the pursuit to possibly replace conventional paths with detectable soluble mediators in saliva. Specifically, the review describes the procedures used for saliva collection, the standard approaches for the measurement of salivary biomarkers and the novel methodological strategies such as biosensors to improve the quality of care for chronically affected patients.
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Affiliation(s)
- Paola Dongiovanni
- Medicine and Metabolic Diseases, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Marica Meroni
- Medicine and Metabolic Diseases, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Sara Casati
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy.
| | - Riccardo Goldoni
- Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, Milan, Italy
- Istituto di Elettronica e di Ingegneria dell'Informazione e delle Telecomunicazioni, CNR, Pisa, Italy
| | - Douglas Vieira Thomaz
- Laboratory of Medicinal Pharmaceutical Chemistry, Faculty of Pharmacy, Federal University of Goiás, Goiânia, GO, Brazil
| | - Nermin Seda Kehr
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
- Department of Chemistry, İzmir Institute of Technology, Gülbahçe Kampüsü, Urla İzmir, Turkey
| | - Daniela Galimberti
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
- Neurology-Neurodegenerative Diseases, Fondazione IRCCS Cà Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Massimo Del Fabbro
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
- UOC Maxillo-Facial Surgery and Dentistry Fondazione IRCCS Cà Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Gianluca M Tartaglia
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
- UOC Maxillo-Facial Surgery and Dentistry Fondazione IRCCS Cà Granda, Ospedale Maggiore Policlinico, Milan, Italy
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Li H, Zhan H, Cheng L, Huang Y, Li X, Yan S, Liu Y, Wang L, Li Y. Plasma lipidomics of primary biliary cholangitis and its comparison with Sjögren's syndrome. Front Immunol 2023; 14:1124443. [PMID: 37215104 PMCID: PMC10196160 DOI: 10.3389/fimmu.2023.1124443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 04/18/2023] [Indexed: 05/24/2023] Open
Abstract
Background Abnormal lipid metabolism is common in patients with primary biliary cholangitis (PBC). PBC and Sjögren's syndrome (SS) frequently coexist in clinical practice; however, the lipid characteristics of both diseases are unknown. Therefore, we aimed to analyze the plasma lipid profiles of both diseases. Methods Plasma samples from 60 PBC patients, 30 SS patients, and 30 healthy controls (HC) were collected, and untargeted lipidomics was performed using ultrahigh-performance liquid chromatography high-resolution mass spectrometry. Potential lipid biomarkers were screened through an orthogonal projection to latent structure discriminant analysis and further evaluated using receiver operating characteristic (ROC) analysis. Results A total of 115 lipids were differentially upregulated in PBC patients compared with HC. Seventeen lipids were positively associated with the disease activity of PBC, and ROC analysis showed that all of these lipids could differentiate between ursodeoxycholic acid (UDCA) responders and UDCA non-responders. The top six lipids based on the area under the curve (AUC) values were glycerophosphocholine (PC) (16:0/16:0), PC (18:1/18:1), PC (42:2), PC (16:0/18:1), PC (17:1/14:0), and PC (15:0/18:1). In comparison with SS, 44 lipids were found to be differentially upregulated in PBC. Additionally, eight lipids were found to have a good diagnostic performance of PBC because of the AUC values of more than 0.9 when identified from SS and HC groups, which were lysophosphatidylcholines (LysoPC) (16:1), PC (16:0/16:0), PC (16:0/16:1), PC (16:1/20:4), PC (18:0/20:3), PC (18:1/20:2), PC (20:0/22:5), and PC (20:1/22:5). Conclusion Our study revealed differentially expressed lipid signatures in PBC compared with HC and SS. PC is the main lipid species associated with disease activity and the UDCA response in patients with PBC.
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Affiliation(s)
- Haolong Li
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Haoting Zhan
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Linlin Cheng
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Yuan Huang
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Xiaomeng Li
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Songxin Yan
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Yongmei Liu
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Li Wang
- Department of Rheumatology, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Yongzhe Li
- Department of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
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Alexandropoulou I, Grammatikopoulou MG, Gkouskou KK, Pritsa AA, Vassilakou T, Rigopoulou E, Lindqvist HM, Bogdanos DP. Ceramides in Autoimmune Rheumatic Diseases: Existing Evidence and Therapeutic Considerations for Diet as an Anticeramide Treatment. Nutrients 2023; 15:nu15010229. [PMID: 36615886 PMCID: PMC9824311 DOI: 10.3390/nu15010229] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 12/29/2022] [Accepted: 12/30/2022] [Indexed: 01/03/2023] Open
Abstract
Autoimmune rheumatic diseases (AIRDs) constitute a set of connective tissue disorders and dysfunctions with akin clinical manifestations and autoantibody responses. AIRD treatment is based on a comprehensive approach, with the primary aim being achieving and attaining disease remission, through the control of inflammation. AIRD therapies have a low target specificity, and this usually propels metabolic disturbances, dyslipidemias and increased cardiovascular risk. Ceramides are implicated in inflammation through several different pathways, many of which sometimes intersect. They serve as signaling molecules for apoptosis, altering immune response and driving endothelial dysfunction and as regulators in the production of other molecules, including sphingosine 1-phosphate (S1P) and ceramide 1-phosphate (C1P). With lipid metabolism being severely altered in AIRD pathology, several studies show that the concentration and variety of ceramides in human tissues is altered in patients with rheumatic diseases compared to controls. As a result, many in vitro and some in vivo (animal) studies research the potential use of ceramides as therapeutic targets in rheumatoid arthritis (RA), ankylosing spondylitis, systemic lupus erythematosus, fibromyalgia syndrome, primary Sjögren's syndrome, systemic sclerosis, myositis, systemic vasculitis and psoriatic arthritis. Furthermore, the majority of ceramide synthesis is diet-centric and, as a result, dietary interventions may alter ceramide concentrations in the blood and affect health. Subsequently, more recently several clinical trials evaluated the possibility of distinct dietary patterns and nutrients to act as anti-ceramide regimes in humans. With nutrition being an important component of AIRD-related complications, the present review details the evidence regarding ceramide levels in patients with AIRDs, the results of anti-ceramide treatments and discusses the possibility of using medical nutritional therapy as a complementary anti-ceramide treatment in rheumatic disease.
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Affiliation(s)
- Ioanna Alexandropoulou
- Department of Nutritional Sciences & Dietetics, Faculty of Health Sciences, International Hellenic University, Alexander Campus, GR-57400 Thessaloniki, Greece
| | - Maria G. Grammatikopoulou
- Department of Rheumatology and Clinical Immunology, University General Hospital of Larissa, Faculty of Medicine, School of Health Sciences, University of Thessaly, Biopolis, GR-41110 Larissa, Greece
| | - Kalliopi K. Gkouskou
- Laboratory of Biology, School of Medicine, National and Kapodistrian University of Athens, GR-11527 Athens, Greece
| | - Agathi A. Pritsa
- Department of Nutritional Sciences & Dietetics, Faculty of Health Sciences, International Hellenic University, Alexander Campus, GR-57400 Thessaloniki, Greece
| | - Tonia Vassilakou
- Department of Public Health Policy, School of Public Health, University of West Attica, GR-11521 Athens, Greece
| | - Eirini Rigopoulou
- Department of Medicine and Research Laboratory of Internal Medicine, University Hospital of Larissa, Biopolis, GR-41222 Larissa, Greece
| | - Helen M. Lindqvist
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, P.O. Box 115, 40530 Gothenburg, Sweden
| | - Dimitrios P. Bogdanos
- Department of Rheumatology and Clinical Immunology, University General Hospital of Larissa, Faculty of Medicine, School of Health Sciences, University of Thessaly, Biopolis, GR-41110 Larissa, Greece
- Correspondence:
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9
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Fineide F, Storås AM, Chen X, Magnø MS, Yazidi A, Riegler MA, Utheim TP. Predicting an unstable tear film through artificial intelligence. Sci Rep 2022; 12:21416. [PMID: 36496510 PMCID: PMC9741582 DOI: 10.1038/s41598-022-25821-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Accepted: 12/05/2022] [Indexed: 12/13/2022] Open
Abstract
Dry eye disease is one of the most common ophthalmological complaints and is defined by a loss of tear film homeostasis. Establishing a diagnosis can be time-consuming, resource demanding and unpleasant for the patient. In this pilot study, we retrospectively included clinical data from 431 patients with dry eye disease examined in the Norwegian Dry Eye Clinic to evaluate how artificial intelligence algorithms perform on clinical data related to dry eye disease. The data was processed and subjected to numerous machine learning classification algorithms with the aim to predict decreased tear film break-up time. Moreover, feature selection techniques (information gain and information gain ratio) were applied to determine which clinical factors contribute most to an unstable tear film. The applied machine learning algorithms outperformed baseline classifications performed with ZeroR according to included evaluation metrics. Clinical features such as ocular surface staining, meibomian gland expressibility and dropout, blink frequency, osmolarity, meibum quality and symptom score were recognized as important predictors for tear film instability. We identify and discuss potential limitations and pitfalls.
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Affiliation(s)
- Fredrik Fineide
- grid.55325.340000 0004 0389 8485Department of Medical Biochemistry, Oslo University Hospital, Oslo, Norway ,The Norwegian Dry Eye Clinic, Ole Vigs Gate 32 E, 0366 Oslo, Norway ,grid.512708.90000 0004 8516 7810Department of Holistic Systems, SimulaMet, Oslo, Norway ,grid.412414.60000 0000 9151 4445Department of Computer Science, Faculty of Technology, Art and Design, Oslo Metropolitan University, Oslo, Norway
| | - Andrea Marheim Storås
- grid.512708.90000 0004 8516 7810Department of Holistic Systems, SimulaMet, Oslo, Norway ,grid.412414.60000 0000 9151 4445Department of Computer Science, Faculty of Technology, Art and Design, Oslo Metropolitan University, Oslo, Norway
| | - Xiangjun Chen
- grid.55325.340000 0004 0389 8485Department of Medical Biochemistry, Oslo University Hospital, Oslo, Norway ,grid.414311.20000 0004 0414 4503Department of Ophthalmology, Sørlandet Hospital Arendal, Arendal, Norway ,grid.459157.b0000 0004 0389 7802Department of Ophthalmology, Vestre Viken Hospital Trust, Drammen, Norway ,grid.5510.10000 0004 1936 8921Department of Oral Surgery and Oral Medicine, Faculty of Dentistry, University of Oslo, Oslo, Norway
| | - Morten S. Magnø
- grid.55325.340000 0004 0389 8485Department of Medical Biochemistry, Oslo University Hospital, Oslo, Norway ,grid.414311.20000 0004 0414 4503Department of Ophthalmology, Sørlandet Hospital Arendal, Arendal, Norway ,grid.55325.340000 0004 0389 8485Department of Plastic and Reconstructive Surgery, Oslo University Hospital, Oslo, Norway ,grid.4494.d0000 0000 9558 4598Department of Ophthalmology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands ,grid.5510.10000 0004 1936 8921Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Anis Yazidi
- grid.412414.60000 0000 9151 4445Department of Computer Science, Faculty of Technology, Art and Design, Oslo Metropolitan University, Oslo, Norway ,grid.5947.f0000 0001 1516 2393Department of Computer Science, NTNU, Norwegian University of Science and Technology, Trondheim, Norway ,grid.55325.340000 0004 0389 8485Department of Plastic and Reconstructive Surgery, Oslo University Hospital, Oslo, Norway
| | - Michael A. Riegler
- grid.512708.90000 0004 8516 7810Department of Holistic Systems, SimulaMet, Oslo, Norway ,grid.10919.300000000122595234University of Tromsø, The Arctic University of Norway, Tromsø, Norway
| | - Tor Paaske Utheim
- grid.55325.340000 0004 0389 8485Department of Medical Biochemistry, Oslo University Hospital, Oslo, Norway ,The Norwegian Dry Eye Clinic, Ole Vigs Gate 32 E, 0366 Oslo, Norway ,grid.412414.60000 0000 9151 4445Department of Computer Science, Faculty of Technology, Art and Design, Oslo Metropolitan University, Oslo, Norway ,grid.459157.b0000 0004 0389 7802Department of Ophthalmology, Vestre Viken Hospital Trust, Drammen, Norway ,grid.55325.340000 0004 0389 8485Department of Plastic and Reconstructive Surgery, Oslo University Hospital, Oslo, Norway ,grid.417292.b0000 0004 0627 3659Department of Ophthalmology, Vestfold Hospital Trust, Tønsberg, Norway ,grid.412835.90000 0004 0627 2891Department of Ophthalmology, Stavanger University Hospital, Stavanger, Norway ,grid.7914.b0000 0004 1936 7443Department of Clinical Medicine, Faculty of Medicine, University of Bergen, Bergen, Norway ,grid.18883.3a0000 0001 2299 9255Department of Quality and Health Technology, The Faculty of Health Sciences, University of Stavanger, Stavanger, Norway ,grid.412414.60000 0000 9151 4445Department of Research and Development, Oslo Metropolitan University, Oslo, Norway ,grid.5510.10000 0004 1936 8921Department of Oral Biology, Faculty of Dentistry, University of Oslo, Oslo, Norway ,grid.463530.70000 0004 7417 509XNational Centre for Optics, Vision and Eye Care, Department of Optometry, Radiography and Lighting Design, Faculty of Health Sciences, University of South-Eastern Norway, Kongsberg, Norway ,grid.23048.3d0000 0004 0417 6230Department of Health and Nursing Science, The Faculty of Health and Sport Sciences, University of Agder, Grimstad, Norway ,grid.18883.3a0000 0001 2299 9255Department of Quality and Health Technology, The Faculty of Health Sciences, University of Stavanger, Stavanger, Norway
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Król-Grzymała A, Sienkiewicz-Szłapka E, Fiedorowicz E, Rozmus D, Cieślińska A, Grzybowski A. Tear Biomarkers in Alzheimer's and Parkinson's Diseases, and Multiple Sclerosis: Implications for Diagnosis (Systematic Review). Int J Mol Sci 2022; 23:10123. [PMID: 36077520 PMCID: PMC9456033 DOI: 10.3390/ijms231710123] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 08/19/2022] [Accepted: 08/29/2022] [Indexed: 11/16/2022] Open
Abstract
Biological material is one of the most important aspects that allow for the correct diagnosis of the disease, and tears are an interesting subject of research because of the simplicity of collection, as the well as the relation to the components similar to other body fluids. In this review, biomarkers for Alzheimer's disease (AD), Parkinson's disease (PD), and multiple sclerosis (MS) in tears are investigated and analyzed. Records were obtained from the PubMed and Google Scholar databases in a timeline of 2015-2022. The keywords were: tear film/tear biochemistry/tear biomarkers + diseases (AD, PD, or MS). The recent original studies were analyzed, discussed, and biomarkers present in tears that can be used for the diagnosis and management of AD, PD, and MS diseases were shown. α-synTotal and α-synOligo, lactoferrin, norepinephrine, adrenaline, epinephrine, dopamine, α-2-macroglobulin, proteins involved in immune response, lipid metabolism and oxidative stress, apolipoprotein superfamily, and others were shown to be biomarkers in PD. For AD as potential biomarkers, there are: lipocalin-1, lysozyme-C, and lacritin, amyloid proteins, t-Tau, p-Tau; for MS there are: oligoclonal bands, lipids containing choline, free carnitine, acylcarnitines, and some amino acids. Information systematized in this review provides interesting data and new insight to help improve clinical outcomes for patients with neurodegenerative disorders.
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Affiliation(s)
- Angelika Król-Grzymała
- Faculty of Biology and Biotechnology, University of Warmia and Mazury, 10-719 Olsztyn, Poland
| | | | - Ewa Fiedorowicz
- Faculty of Biology and Biotechnology, University of Warmia and Mazury, 10-719 Olsztyn, Poland
| | - Dominika Rozmus
- Faculty of Biology and Biotechnology, University of Warmia and Mazury, 10-719 Olsztyn, Poland
| | - Anna Cieślińska
- Faculty of Biology and Biotechnology, University of Warmia and Mazury, 10-719 Olsztyn, Poland
| | - Andrzej Grzybowski
- Department of Ophthalmology, University of Warmia and Mazury, 10-719 Olsztyn, Poland
- Institute for Research in Ophthalmology, Foundation for Ophthalmology Development, 61-553 Poznan, Poland
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11
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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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