1
|
Ahmad Z, Singh S, Lee TJ, Sharma A, Lydic TA, Giri S, Kumar A. Untargeted and temporal analysis of retinal lipidome in bacterial endophthalmitis. Prostaglandins Other Lipid Mediat 2024; 171:106806. [PMID: 38185280 PMCID: PMC10939753 DOI: 10.1016/j.prostaglandins.2023.106806] [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: 06/09/2023] [Revised: 11/22/2023] [Accepted: 12/26/2023] [Indexed: 01/09/2024]
Abstract
Bacterial endophthalmitis is a blinding infectious disease typically acquired during ocular surgery. We previously reported significant alterations in retinal metabolism during Staphylococcus (S) aureus endophthalmitis. However, the changes in retinal lipid composition during endophthalmitis are unknown. Here, using a mouse model of S. aureus endophthalmitis and an untargeted lipidomic approach, we comprehensively analyzed temporal alterations in total lipids and oxylipin in retina. Our data showed a time-dependent increase in the levels of lipid classes, sphingolipids, glycerolipids, sterols, and non-esterified fatty acids, whereas levels of phospholipids decreased. Among lipid subclasses, phosphatidylcholine decreased over time. The oxylipin analysis revealed increased prostaglandin-E2, hydroxyeicosatetraenoic acids, docosahexaenoic acid, eicosapentaenoic acid, and α-linolenic acid. In-vitro studies using mouse bone marrow-derived macrophages showed increased lipid droplets and lipid-peroxide formation in response to S. aureus infection. Collectively, these findings suggest that S. aureus-infection alters the retinal lipid profile, which may contribute to the pathogenesis of bacterial endophthalmitis.
Collapse
Affiliation(s)
- Zeeshan Ahmad
- Department of Ophthalmology, Visual and Anatomical Sciences/ Kresge Eye Institute, Wayne State University School of Medicine, Detroit, MI, USA
| | - Sukhvinder Singh
- Department of Ophthalmology, Visual and Anatomical Sciences/ Kresge Eye Institute, Wayne State University School of Medicine, Detroit, MI, USA
| | - Tae Jin Lee
- Augusta University, Augusta, GA, USA. 4 Department of Ophthalmology, Augusta University, Augusta, GA, USA
| | - Ashok Sharma
- Augusta University, Augusta, GA, USA. 4 Department of Ophthalmology, Augusta University, Augusta, GA, USA
| | - Todd A Lydic
- Department of Physiology, Michigan State University, East Lansing, MI, USA
| | - Shailendra Giri
- Department of Neurology, Henry Ford Health System, Detroit, MI, USA
| | - Ashok Kumar
- Department of Ophthalmology, Visual and Anatomical Sciences/ Kresge Eye Institute, Wayne State University School of Medicine, Detroit, MI, USA; Department of Biochemistry, Microbiology, and Immunology, Wayne State University School of Medicine, Detroit, MI, USA.
| |
Collapse
|
2
|
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.
Collapse
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
| |
Collapse
|
3
|
Wolf J, Franco JA, Yip R, Dabaja MZ, Velez G, Liu F, Bassuk AG, Mruthyunjaya P, Dufour A, Mahajan VB. Liquid Biopsy Proteomics in Ophthalmology. J Proteome Res 2024; 23:511-522. [PMID: 38171013 PMCID: PMC10845144 DOI: 10.1021/acs.jproteome.3c00756] [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: 11/11/2023] [Revised: 12/08/2023] [Accepted: 12/11/2023] [Indexed: 01/05/2024]
Abstract
Minimally invasive liquid biopsies from the eye capture locally enriched fluids that contain thousands of proteins from highly specialized ocular cell types, presenting a promising alternative to solid tissue biopsies. The advantages of liquid biopsies include sampling the eye without causing irreversible functional damage, potentially better reflecting tissue heterogeneity, collecting samples in an outpatient setting, monitoring therapeutic response with sequential sampling, and even allowing examination of disease mechanisms at the cell level in living humans, an approach that we refer to as TEMPO (Tracing Expression of Multiple Protein Origins). Liquid biopsy proteomics has the potential to transform molecular diagnostics and prognostics and to assess disease mechanisms and personalized therapeutic strategies in individual patients. This review addresses opportunities, challenges, and future directions of high-resolution liquid biopsy proteomics in ophthalmology, with particular emphasis on the large-scale collection of high-quality samples, cutting edge proteomics technology, and artificial intelligence-supported data analysis.
Collapse
Affiliation(s)
- Julian Wolf
- Molecular
Surgery Laboratory, Stanford University, Palo Alto, California 94305, United States
- Department
of Ophthalmology, Byers Eye Institute, Stanford
University, Palo Alto, California 94303, United States
| | - Joel A. Franco
- Molecular
Surgery Laboratory, Stanford University, Palo Alto, California 94305, United States
- Department
of Ophthalmology, Byers Eye Institute, Stanford
University, Palo Alto, California 94303, United States
| | - Rui Yip
- Molecular
Surgery Laboratory, Stanford University, Palo Alto, California 94305, United States
- Department
of Ophthalmology, Byers Eye Institute, Stanford
University, Palo Alto, California 94303, United States
| | - Mohamed Ziad Dabaja
- Departments
of Physiology and Pharmacology & Biochemistry and Molecular Biology,
Cumming School of Medicine, University of
Calgary, Calgary, Alberta T2N 4N1, Canada
| | - Gabriel Velez
- Molecular
Surgery Laboratory, Stanford University, Palo Alto, California 94305, United States
- Department
of Ophthalmology, Byers Eye Institute, Stanford
University, Palo Alto, California 94303, United States
| | - Fei Liu
- Department
of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Alexander G. Bassuk
- Department
of Pediatrics, University of Iowa, Iowa City, Iowa 52242, United States
| | - Prithvi Mruthyunjaya
- Department
of Ophthalmology, Byers Eye Institute, Stanford
University, Palo Alto, California 94303, United States
| | - Antoine Dufour
- Departments
of Physiology and Pharmacology & Biochemistry and Molecular Biology,
Cumming School of Medicine, University of
Calgary, Calgary, Alberta T2N 4N1, Canada
| | - Vinit B. Mahajan
- Molecular
Surgery Laboratory, Stanford University, Palo Alto, California 94305, United States
- Department
of Ophthalmology, Byers Eye Institute, Stanford
University, Palo Alto, California 94303, United States
- Veterans
Affairs Palo Alto Health Care System, Palo Alto, California 94304, United States
| |
Collapse
|
4
|
Baksheeva VE, Tiulina VV, Iomdina EN, Petrov SY, Filippova OM, Kushnarevich NY, Suleiman EA, Eyraud R, Devred F, Serebryakova MV, Shebardina NG, Chistyakov DV, Senin II, Mitkevich VA, Tsvetkov PO, Zernii EY. Tear nanoDSF Denaturation Profile Is Predictive of Glaucoma. Int J Mol Sci 2023; 24:ijms24087132. [PMID: 37108298 PMCID: PMC10139145 DOI: 10.3390/ijms24087132] [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: 03/17/2023] [Revised: 04/07/2023] [Accepted: 04/08/2023] [Indexed: 04/29/2023] Open
Abstract
Primary open-angle glaucoma (POAG) is a frequent blindness-causing neurodegenerative disorder characterized by optic nerve and retinal ganglion cell damage most commonly due to a chronic increase in intraocular pressure. The preservation of visual function in patients critically depends on the timeliness of detection and treatment of the disease, which is challenging due to its asymptomatic course at early stages and lack of objective diagnostic approaches. Recent studies revealed that the pathophysiology of glaucoma includes complex metabolomic and proteomic alterations in the eye liquids, including tear fluid (TF). Although TF can be collected by a non-invasive procedure and may serve as a source of the appropriate biomarkers, its multi-omics analysis is technically sophisticated and unsuitable for clinical practice. In this study, we tested a novel concept of glaucoma diagnostics based on the rapid high-performance analysis of the TF proteome by differential scanning fluorimetry (nanoDSF). An examination of the thermal denaturation of TF proteins in a cohort of 311 ophthalmic patients revealed typical profiles, with two peaks exhibiting characteristic shifts in POAG. Clustering of the profiles according to peaks maxima allowed us to identify glaucoma in 70% of cases, while the employment of artificial intelligence (machine learning) algorithms reduced the amount of false-positive diagnoses to 13.5%. The POAG-associated alterations in the core TF proteins included an increase in the concentration of serum albumin, accompanied by a decrease in lysozyme C, lipocalin-1, and lactotransferrin contents. Unexpectedly, these changes were not the only factor affecting the observed denaturation profile shifts, which considerably depended on the presence of low-molecular-weight ligands of tear proteins, such as fatty acids and iron. Overall, we recognized the TF denaturation profile as a novel biomarker of glaucoma, which integrates proteomic, lipidomic, and metallomic alterations in tears, and monitoring of which could be adapted for rapid non-invasive screening of the disease in a clinical setting.
Collapse
Affiliation(s)
- Viktoriia E Baksheeva
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, 1-40 Leninskye Gory, 119992 Moscow, Russia
- Institut Neurophysiopathol, INP, Faculté des Sciences Médicales et Paramédicales, Aix Marseille Univ, CNRS, 13005 Marseille, France
| | - Veronika V Tiulina
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, 1-40 Leninskye Gory, 119992 Moscow, Russia
| | - Elena N Iomdina
- Helmholtz National Medical Research Center of Eye Diseases, 105062 Moscow, Russia
| | - Sergey Yu Petrov
- Helmholtz National Medical Research Center of Eye Diseases, 105062 Moscow, Russia
| | - Olga M Filippova
- Helmholtz National Medical Research Center of Eye Diseases, 105062 Moscow, Russia
| | - Nina Yu Kushnarevich
- Helmholtz National Medical Research Center of Eye Diseases, 105062 Moscow, Russia
| | - Elena A Suleiman
- Helmholtz National Medical Research Center of Eye Diseases, 105062 Moscow, Russia
| | - Rémi Eyraud
- Université Jean Monnet Saint-Etienne, CNRS, Institut d Optique Graduate School, Laboratoire Hubert Curien UMR 5516, 42023 Saint-Etienne, France
| | - François Devred
- Institut Neurophysiopathol, INP, Faculté des Sciences Médicales et Paramédicales, Aix Marseille Univ, CNRS, 13005 Marseille, France
| | - Marina V Serebryakova
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, 1-40 Leninskye Gory, 119992 Moscow, Russia
| | - Natalia G Shebardina
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, 1-40 Leninskye Gory, 119992 Moscow, Russia
| | - Dmitry V Chistyakov
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, 1-40 Leninskye Gory, 119992 Moscow, Russia
| | - Ivan I Senin
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, 1-40 Leninskye Gory, 119992 Moscow, Russia
| | - Vladimir A Mitkevich
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia
| | - Philipp O Tsvetkov
- Institut Neurophysiopathol, INP, Faculté des Sciences Médicales et Paramédicales, Aix Marseille Univ, CNRS, 13005 Marseille, France
| | - Evgeni Yu Zernii
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, 1-40 Leninskye Gory, 119992 Moscow, Russia
| |
Collapse
|
5
|
Starr CR, Gorbatyuk MS. Posttranslational modifications of proteins in diseased retina. Front Cell Neurosci 2023; 17:1150220. [PMID: 37066080 PMCID: PMC10097899 DOI: 10.3389/fncel.2023.1150220] [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: 01/23/2023] [Accepted: 03/13/2023] [Indexed: 04/03/2023] Open
Abstract
Posttranslational modifications (PTMs) are known to constitute a key step in protein biosynthesis and in the regulation of protein functions. Recent breakthroughs in protein purification strategies and current proteome technologies make it possible to identify the proteomics of healthy and diseased retinas. Despite these advantages, the research field identifying sets of posttranslationally modified proteins (PTMomes) related to diseased retinas is significantly lagging, despite knowledge of the major retina PTMome being critical to drug development. In this review, we highlight current updates regarding the PTMomes in three retinal degenerative diseases-namely, diabetic retinopathy (DR), glaucoma, and retinitis pigmentosa (RP). A literature search reveals the necessity to expedite investigations into essential PTMomes in the diseased retina and validate their physiological roles. This knowledge would accelerate the development of treatments for retinal degenerative disorders and the prevention of blindness in affected populations.
Collapse
Affiliation(s)
| | - Marina S. Gorbatyuk
- Department of Optometry and Vision Science, University of Alabama at Birmingham, Birmingham, AL, United States
| |
Collapse
|