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Zeng Y, Mo G, Wang X, Yang Y, Dong Y, Zhong R, Tian N. Investigating the relationship between blood metabolites and diabetic retinopathy using two-sample mendelian randomization and in vivo validation. Sci Rep 2024; 14:22947. [PMID: 39362968 PMCID: PMC11450153 DOI: 10.1038/s41598-024-73337-4] [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: 01/01/2024] [Accepted: 09/16/2024] [Indexed: 10/05/2024] Open
Abstract
We addressed fundamental questions about the influence of metabolites on the development of Diabetic retinopathy (DR), and explored the related pathological mechanism. Genome-wide association study (GWAS) database data for metabolites and DR were used to perform Mendelian randomization (MR) studies. The inverse variance weighting (IVW) was chosen as the primary analysis method. Sensitivity analysis was conducted using MR-PRESSO, leave-one-out and Cochran's Q test. Confounding factors were eliminated to ensure robustness. We also conducted metabolic pathway analysis. In vivo experimental validation was conducted using Sprague Dawley rats. The serum metabolites of the DR group rats and normal group rats were examined to evaluate the MR results. The screen identified eighteen metabolites associated with DR risk, twelve of which were known components. Seven metabolites were positively correlated with DR risk, while five could reduce it. Eight metabolites associated with proliferative DR (PDR) risk were identified, four of which are known components. Three of these were positively associated with PDR risk and one metabolite reduced PDR risk. Additionally, two possible metabolic pathways involved in the biological mechanism of DR were identified. The ELISA results showed that the serum levels of isoleucine and 4-HPA were significantly increased in DR rats, while the level of inosine was decreased. This study offers novel insights into the biological mechanisms underlying DR. Metabolites that are causally linked to DR may serve as promising biomarkers and therapeutic targets.
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Affiliation(s)
- Yihuan Zeng
- The First Clinical Medical College of Guangzhou University of Chinese Medicine, No. 16 Airport Road, Baiyun District, Guangzhou, 510504, Guangdong Province, China
| | - Guangmeng Mo
- The First Clinical Medical College of Guangzhou University of Chinese Medicine, No. 16 Airport Road, Baiyun District, Guangzhou, 510504, Guangdong Province, China
| | - Xiaoyv Wang
- The First Clinical Medical College of Guangzhou University of Chinese Medicine, No. 16 Airport Road, Baiyun District, Guangzhou, 510504, Guangdong Province, China
| | - Yan Yang
- Department of Ophthalmology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510504, Guangdong Province, China
| | - Yan Dong
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, 510405, Guangdong Province, China
| | - Ruiying Zhong
- Department of Ophthalmology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510504, Guangdong Province, China
| | - Ni Tian
- The First Clinical Medical College of Guangzhou University of Chinese Medicine, No. 16 Airport Road, Baiyun District, Guangzhou, 510504, Guangdong Province, China.
- Department of Ophthalmology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510504, Guangdong Province, China.
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Zhou L, Sun H, Chen G, Li C, Liu D, Wang X, Meng T, Jiang Z, Yang S, Yang MM. Indoxyl sulfate induces retinal microvascular injury via COX-2/PGE 2 activation in diabetic retinopathy. J Transl Med 2024; 22:870. [PMID: 39334140 PMCID: PMC11428830 DOI: 10.1186/s12967-024-05654-1] [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: 06/24/2024] [Accepted: 09/16/2024] [Indexed: 09/30/2024] Open
Abstract
BACKGROUND Diabetic retinopathy (DR), the principal cause of acquired blindness among the working-age population, is the most frequent microvascular complication of diabetes. Although metabolic disorders are hypothesized to play a role in its pathogenesis, the underlying mechanism remains largely elusive. METHODS To elucidate the mechanism, we initially compared metabolite profiles of vitreous fluid between 23 patients with DR and 12 non-diabetic controls using liquid chromatography/tandem mass spectrometry, identifying the distinct metabolite indoxyl sulfate (IS). Subsequently, streptozotocin (STZ)-induced diabetic and IS-injected rat models were established to examine the effects of IS on retinal microvasculature. RNA sequencing was conducted to identify potential regulatory mechanisms in IS-treated human retinal endothelial cells (HREC). Finally, target gene knockdown in HREC and treatment of IS-injected rats with inhibitors (targeting IS production or downstream regulators) were employed to elucidate the detailed mechanisms and identify therapeutic targets for DR. RESULTS Metabolomics identified 172 significantly altered metabolites in the vitreous humor of diabetics, including the dysregulated tryptophan metabolite indoxyl sulfate (IS). IS was observed to breach the blood-retinal barrier and accumulate in the intraocular fluid of diabetic rats. Both in vivo and in vitro experiments indicated that elevated levels of IS induced endothelial apoptosis and disrupted cell junctions. RNA sequencing pinpointed prostaglandin E2 (PGE2) synthetase-cyclooxygenase 2 (COX-2) as a potential target of IS. Validation experiments demonstrated that IS enhanced COX-2 expression, which subsequently increased PGE2 secretion by promoting transcription factor EGR1 binding to COX-2 DNA following entry into cells via organic anion transporting polypeptides (OATP2B1). Furthermore, inhibition of COX-2 in vivo or silencing EGR1/OATP2B1 in HREC mitigated IS-induced microcapillary damage and the activation of COX-2/PGE2. CONCLUSION Our study demonstrated that indoxyl sulfate (IS), a uremic toxin originating from the gut microbiota product indole, increased significantly and contributed to retinal microvascular damage in diabetic retinopathy (DR). Mechanistically, IS impaired retinal microvascular integrity by inducing the expression of COX-2 and the production of PGE2. Consequently, targeting the gut microbiota or the PGE2 pathway may offer effective therapeutic strategies for the treatment of DR.
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Affiliation(s)
- Lan Zhou
- Department of Ophthalmology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, 518020, China
- Post-Doctoral Scientific Research Station of Basic Medicine, Jinan University, Guangzhou, 510632, China
- Shenzhen Clinical Research Centre for Geriatrics, Shenzhen People's Hospital, Shenzhen, 518020, China
| | - Hongyan Sun
- Department of Ophthalmology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, 518020, China
| | - Gongyi Chen
- Department of Ophthalmology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, 518020, China
| | - Cunzi Li
- Department of Ophthalmology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, 518020, China
| | - Dan Liu
- Department of Ophthalmology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, 518020, China
| | - Xurui Wang
- Department of Ophthalmology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, 518020, China
| | - Ting Meng
- Department of Ophthalmology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, 518020, China
| | - Zhenyou Jiang
- Department of Microbiology and Immunology, School of Medicine, Jinan University, Guangzhou, 510632, Guangdong, China.
- Key Laboratory of Viral Pathogenesis & Infection Prevention and Control (Jinan University), Ministry of Education, Guangzhou, 510632, China.
| | - Shu Yang
- Shenzhen Clinical Research Centre for Geriatrics, Shenzhen People's Hospital, Shenzhen, 518020, China.
| | - Ming-Ming Yang
- Department of Ophthalmology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, 518020, China.
- Post-Doctoral Scientific Research Station of Basic Medicine, Jinan University, Guangzhou, 510632, China.
- Shenzhen Clinical Research Centre for Geriatrics, Shenzhen People's Hospital, Shenzhen, 518020, China.
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Belete GT, Zhou L, Li KK, So PK, Do CW, Lam TC. Metabolomics studies in common multifactorial eye disorders: a review of biomarker discovery for age-related macular degeneration, glaucoma, diabetic retinopathy and myopia. Front Mol Biosci 2024; 11:1403844. [PMID: 39193222 PMCID: PMC11347317 DOI: 10.3389/fmolb.2024.1403844] [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: 03/20/2024] [Accepted: 07/24/2024] [Indexed: 08/29/2024] Open
Abstract
Introduction Multifactorial Eye disorders are a significant public health concern and have a huge impact on quality of life. The pathophysiological mechanisms underlying these eye disorders were not completely understood since functional and low-throughput biological tests were used. By identifying biomarkers linked to eye disorders, metabolomics enables early identification, tracking of the course of the disease, and personalized treatment. Methods The electronic databases of PubMed, Scopus, PsycINFO, and Web of Science were searched for research related to Age-Related macular degeneration (AMD), glaucoma, myopia, and diabetic retinopathy (DR). The search was conducted in August 2023. The number of cases and controls, the study's design, the analytical methods used, and the results of the metabolomics analysis were all extracted. Using the QUADOMICS tool, the quality of the studies included was evaluated, and metabolic pathways were examined for distinct metabolic profiles. We used MetaboAnalyst 5.0 to undertake pathway analysis of differential metabolites. Results Metabolomics studies included in this review consisted of 36 human studies (5 Age-related macular degeneration, 10 Glaucoma, 13 Diabetic retinopathy, and 8 Myopia). The most networked metabolites in AMD include glycine and adenosine monophosphate, while methionine, lysine, alanine, glyoxylic acid, and cysteine were identified in glaucoma. Furthermore, in myopia, glycerol, glutamic acid, pyruvic acid, glycine, cysteine, and oxoglutaric acid constituted significant metabolites, while glycerol, glutamic acid, lysine, citric acid, alanine, and serotonin are highly networked metabolites in cases of diabetic retinopathy. The common top metabolic pathways significantly enriched and associated with AMD, glaucoma, DR, and myopia were arginine and proline metabolism, methionine metabolism, glycine and serine metabolism, urea cycle metabolism, and purine metabolism. Conclusion This review recapitulates potential metabolic biomarkers, networks and pathways in AMD, glaucoma, DR, and myopia, providing new clues to elucidate disease mechanisms and therapeutic targets. The emergence of advanced metabolomics techniques has significantly enhanced the capability of metabolic profiling and provides novel perspectives on the metabolism and underlying pathogenesis of these multifactorial eye conditions. The advancement of metabolomics is anticipated to foster a deeper comprehension of disease etiology, facilitate the identification of novel therapeutic targets, and usher in an era of personalized medicine in eye research.
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Affiliation(s)
- Gizachew Tilahun Belete
- Centre for Myopia Research, School of Optometry, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - Lei Zhou
- Centre for Myopia Research, School of Optometry, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
- Research Centre for SHARP Vision (RCSV), The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
- Centre for Eye and Vision Research (CEVR), The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
- Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - King-Kit Li
- Centre for Myopia Research, School of Optometry, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - Pui-Kin So
- University Research Facility in Life Sciences, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - Chi-Wai Do
- Centre for Myopia Research, School of Optometry, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
- Research Centre for SHARP Vision (RCSV), The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
- Centre for Eye and Vision Research (CEVR), The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
- Research Centre for Chinese Medicine Innovation (RCMI), The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - Thomas Chuen Lam
- Centre for Myopia Research, School of Optometry, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
- Research Centre for SHARP Vision (RCSV), The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
- Centre for Eye and Vision Research (CEVR), The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
- Research Centre for Chinese Medicine Innovation (RCMI), The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
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Tan Y, Yan Z, Yin J, Cao J, Xie B, Zhang F, Zhang W, Xiong W. Elucidating the role of genetically determined metabolites in Diabetic Retinopathy: insights from a mendelian randomization analysis. Acta Diabetol 2024:10.1007/s00592-024-02345-7. [PMID: 39090426 DOI: 10.1007/s00592-024-02345-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Accepted: 07/06/2024] [Indexed: 08/04/2024]
Abstract
AIMS Diabetic retinopathy (DR) results from complex genetic and metabolic interactions. Unraveling the links between blood metabolites and DR can advance risk prediction and therapy. METHODS Leveraging Mendelian Randomization (MR) and Linkage Disequilibrium Score Regression (LDSC), we analyzed 10,413 DR cases and 308,633 controls. Data was sourced from the Metabolomics GWAS server and the FinnGen project. RESULTS Our research conducted a comprehensive MR analysis across 486 serum metabolites to investigate their causal role in DR. After stringent selection and validation of instrumental variables, we focused on 480 metabolites for analysis. Our findings revealed 38 metabolites potentially causally associated with DR. Specifically, 4-androsten-3beta,17beta-diol disulfate 2 was identified as significantly associated with a reduced risk of DR (OR = 0.471, 95% CI = 0.324-0.684, p = 7.87 × 10- 5), even after rigorous adjustments for multiple testing. Sensitivity analyses further validated the robustness of this association, and linkage disequilibrium score regression analyses showed no significant genetic correlation between this metabolite and DR, suggesting a specific protective effect against DR. CONCLUSIONS Our study identifies 4-androsten-3beta,17beta-diol disulfate 2, a metabolite of androgens, as a significant protective factor against diabetic retinopathy, suggesting androgens as potential therapeutic targets.
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Affiliation(s)
- Yao Tan
- Department of Ophthalmology, The Third Xiangya Hospital, Central South University, No. 138 Tongzipo Road, Yuelu District, Changsha City, 410013, Hunan Province, China
- Postdoctoral Station of Clinical Medicine, The Third Xiangya Hospital, Central South University, Changsha City, 410013, Hunan Province, China
| | - Zuyun Yan
- The Third Xiangya Hospital, Central South University, Changsha City, 410013, Hunan Province, China
| | - Jiayang Yin
- Department of Ophthalmology, The Third Xiangya Hospital, Central South University, No. 138 Tongzipo Road, Yuelu District, Changsha City, 410013, Hunan Province, China
| | - Jiamin Cao
- Department of Ophthalmology, The Third Xiangya Hospital, Central South University, No. 138 Tongzipo Road, Yuelu District, Changsha City, 410013, Hunan Province, China
| | - Bingyu Xie
- Department of Ophthalmology, The Third Xiangya Hospital, Central South University, No. 138 Tongzipo Road, Yuelu District, Changsha City, 410013, Hunan Province, China
| | - Feng Zhang
- Department of Ophthalmology, The Third Xiangya Hospital, Central South University, No. 138 Tongzipo Road, Yuelu District, Changsha City, 410013, Hunan Province, China
| | - Wenhua Zhang
- Department of Ophthalmology, The Third Xiangya Hospital, Central South University, No. 138 Tongzipo Road, Yuelu District, Changsha City, 410013, Hunan Province, China.
| | - Wei Xiong
- Department of Ophthalmology, The Third Xiangya Hospital, Central South University, No. 138 Tongzipo Road, Yuelu District, Changsha City, 410013, Hunan Province, China.
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Jiang SQ, Ye SN, Huang YH, Ou YW, Chen KY, Chen JS, Tang SB. Gut microbiota induced abnormal amino acids and their correlation with diabetic retinopathy. Int J Ophthalmol 2024; 17:883-895. [PMID: 38766339 PMCID: PMC11074191 DOI: 10.18240/ijo.2024.05.13] [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: 06/05/2023] [Accepted: 02/20/2024] [Indexed: 05/22/2024] Open
Abstract
AIM To explore the correlation of gut microbiota and the metabolites with the progression of diabetic retinopathy (DR) and provide a novel strategy to elucidate the pathological mechanism of DR. METHODS The fecal samples from 32 type 2 diabetes patients with proliferative retinopathy (PDR), 23 with non-proliferative retinopathy (NPDR), 27 without retinopathy (DM), and 29 from the sex-, age- and BMI- matched healthy controls (29 HC) were analyzed by 16S rDNA gene sequencing. Sixty fecal samples from PDR, DM, and HC groups were assayed by untargeted metabolomics. Fecal metabolites were measured using liquid chromatography-mass spectrometry (LC-MS) analysis. Associations between gut microbiota and fecal metabolites were analyzed. RESULTS A cluster of 2 microbiome and 12 metabolites accompanied with the severity of DR, and the close correlation of the disease progression with PDR-related microbiome and metabolites were found. To be specific, the structure of gut microbiota differed in four groups. Diversity and richness of gut microbiota were significantly lower in PDR and NPDR groups, than those in DM and HC groups. A cluster of microbiome enriched in PDR group, including Pseudomonas, Ruminococcaceae-UCG-002, Ruminococcaceae-UCG-005, Christensenellaceae-R-7, was observed. Functional analysis showed that the glucose and nicotinate degradations were significantly higher in PDR group than those in HC group. Arginine, serine, ornithine, and arachidonic acid were significantly enriched in PDR group, while proline was enriched in HC group. Functional analysis illustrated that arginine biosynthesis, lysine degradation, histidine catabolism, central carbon catabolism in cancer, D-arginine and D-ornithine catabolism were elevated in PDR group. Correlation analysis revealed that Ruminococcaceae-UCG-002 and Christensenellaceae-R-7 were positively associated with L-arginine, ornithine levels in fecal samples. CONCLUSION This study elaborates the different microbiota structure in the gut from four groups. The relative abundance of Ruminococcaceae-UCG-002 and Parabacteroides are associated with the severity of DR. Amino acid and fatty acid catabolism is especially disordered in PDR group. This may help provide a novel diagnostic parameter for DR, especially PDR.
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Affiliation(s)
- Sheng-Qun Jiang
- Aier Eye Hospital, Jinan University, Guangzhou 510000, Guangdong Province, China
- Aier Eye Institute and Changsha Aier Hospital, Changsha 410000, Hunan Province, China
- The First Affiliated Hospital of Bengbu Medical University, Bengbu 233000, Anhui Province, China
| | - Su-Na Ye
- Aier Eye Hospital, Jinan University, Guangzhou 510000, Guangdong Province, China
- Aier Eye Institute and Changsha Aier Hospital, Changsha 410000, Hunan Province, China
| | - Yin-Hua Huang
- Aier Eye Hospital, Jinan University, Guangzhou 510000, Guangdong Province, China
- Aier Eye Institute and Changsha Aier Hospital, Changsha 410000, Hunan Province, China
| | - Yi-Wen Ou
- Aier Eye Hospital, Jinan University, Guangzhou 510000, Guangdong Province, China
- Aier Eye Institute and Changsha Aier Hospital, Changsha 410000, Hunan Province, China
| | - Ke-Yang Chen
- Aier Eye Hospital, Jinan University, Guangzhou 510000, Guangdong Province, China
- Aier Eye Institute and Changsha Aier Hospital, Changsha 410000, Hunan Province, China
- School of Public Health, Anhui Medical University, Hefei 230000, Anhui Province, China
| | - Jian-Su Chen
- Aier Eye Hospital, Jinan University, Guangzhou 510000, Guangdong Province, China
- Aier Eye Institute and Changsha Aier Hospital, Changsha 410000, Hunan Province, China
| | - Shi-Bo Tang
- Aier Eye Hospital, Jinan University, Guangzhou 510000, Guangdong Province, China
- Aier Eye Institute and Changsha Aier Hospital, Changsha 410000, Hunan Province, China
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Illescas S, Diaz-Osorio Y, Serradell A, Toro-Soria L, Musokhranova U, Juliá-Palacios N, Ribeiro-Constante J, Altafaj X, Olivella M, O'Callaghan M, Darling A, Armstrong J, Artuch R, García-Cazorla À, Oyarzábal A. Metabolic characterization of neurogenetic disorders involving glutamatergic neurotransmission. J Inherit Metab Dis 2024; 47:551-569. [PMID: 37932875 DOI: 10.1002/jimd.12689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 09/28/2023] [Accepted: 11/02/2023] [Indexed: 11/08/2023]
Abstract
The study of inborn errors of neurotransmission has been mostly focused on monoamine disorders, GABAergic and glycinergic defects. The study of the glutamatergic synapse using the same approach than classic neurotransmitter disorders is challenging due to the lack of biomarkers in the CSF. A metabolomic approach can provide both insight into their molecular basis and outline novel therapeutic alternatives. We have performed a semi-targeted metabolomic analysis on CSF samples from 25 patients with neurogenetic disorders with an important expression in the glutamatergic synapse and 5 controls. Samples from patients diagnosed with MCP2, CDKL5-, GRINpathies and STXBP1-related encephalopathies were included. We have performed univariate (UVA) and multivariate statistical analysis (MVA), using Wilcoxon rank-sum test, principal component analysis (PCA), and OPLS-DA. By using the results of both analyses, we have identified the metabolites that were significantly altered and that were important in clustering the respective groups. On these, we performed pathway- and network-based analyses to define which metabolic pathways were possibly altered in each pathology. We have observed alterations in the tryptophan and branched-chain amino acid metabolism pathways, which interestingly converge on LAT1 transporter-dependency to cross the blood-brain barrier (BBB). Analysis of the expression of LAT1 transporter in brain samples from a mouse model of Rett syndrome (MECP2) revealed a decrease in the transporter expression, that was already noticeable at pre-symptomatic stages. The study of the glutamatergic synapse from this perspective advances the understanding of their pathophysiology, shining light on an understudied feature as is their metabolic signature.
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Affiliation(s)
- Sofía Illescas
- Synaptic Metabolism and Personalized Therapies Lab, Institut de Recerca Sant Joan de Déu, Department of Neurology and MetabERN, Esplugues de Llobregat, Barcelona, Spain
| | - Yaiza Diaz-Osorio
- Synaptic Metabolism and Personalized Therapies Lab, Institut de Recerca Sant Joan de Déu, Department of Neurology and MetabERN, Esplugues de Llobregat, Barcelona, Spain
| | - Anna Serradell
- Synaptic Metabolism and Personalized Therapies Lab, Institut de Recerca Sant Joan de Déu, Department of Neurology and MetabERN, Esplugues de Llobregat, Barcelona, Spain
| | - Lucía Toro-Soria
- Synaptic Metabolism and Personalized Therapies Lab, Institut de Recerca Sant Joan de Déu, Department of Neurology and MetabERN, Esplugues de Llobregat, Barcelona, Spain
| | - Uliana Musokhranova
- Synaptic Metabolism and Personalized Therapies Lab, Institut de Recerca Sant Joan de Déu, Department of Neurology and MetabERN, Esplugues de Llobregat, Barcelona, Spain
| | - Natalia Juliá-Palacios
- Synaptic Metabolism and Personalized Therapies Lab, Institut de Recerca Sant Joan de Déu, Department of Neurology and MetabERN, Esplugues de Llobregat, Barcelona, Spain
- Neurometabolic Unit, Hospital Sant Joan de Déu, Department of Neurology, Esplugues de Llobregat, Barcelona, Spain
| | - Juliana Ribeiro-Constante
- Synaptic Metabolism and Personalized Therapies Lab, Institut de Recerca Sant Joan de Déu, Department of Neurology and MetabERN, Esplugues de Llobregat, Barcelona, Spain
- Neurometabolic Unit, Hospital Sant Joan de Déu, Department of Neurology, Esplugues de Llobregat, Barcelona, Spain
| | - Xavier Altafaj
- Neurophysiology Laboratory, Department of Biomedicine, Institute of Neurosciences, Faculty of Medicine and Health Sciences, University of Barcelona, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Mireia Olivella
- School of International Studies, ESCI-UPF, Barcelona, Spain
- Bioinformatics and Bioimaging Group, Faculty of Science, Technology and Engineering, University of Vic-Central University of Catalonia, Vic, Spain
| | - Mar O'Callaghan
- Synaptic Metabolism and Personalized Therapies Lab, Institut de Recerca Sant Joan de Déu, Department of Neurology and MetabERN, Esplugues de Llobregat, Barcelona, Spain
- Neurometabolic Unit, Hospital Sant Joan de Déu, Department of Neurology, Esplugues de Llobregat, Barcelona, Spain
- CIBERER-Spanish Biomedical Research Centre in Rare Diseases, Barcelona, Spain
| | - Alejandra Darling
- Synaptic Metabolism and Personalized Therapies Lab, Institut de Recerca Sant Joan de Déu, Department of Neurology and MetabERN, Esplugues de Llobregat, Barcelona, Spain
- Neurometabolic Unit, Hospital Sant Joan de Déu, Department of Neurology, Esplugues de Llobregat, Barcelona, Spain
| | - Judith Armstrong
- CIBERER-Spanish Biomedical Research Centre in Rare Diseases, Barcelona, Spain
- Department of Medical Genetics, Institut de Recerca Pediàtrica, Hospital Sant Joan de Déu, Barcelona, Spain
| | - Rafael Artuch
- CIBERER-Spanish Biomedical Research Centre in Rare Diseases, Barcelona, Spain
- Clinical Biochemistry Department, Institut de Recerca Sant Joan de Déu, Hospital Sant Joan de Déu, Barcelona, Spain
| | - Àngels García-Cazorla
- Synaptic Metabolism and Personalized Therapies Lab, Institut de Recerca Sant Joan de Déu, Department of Neurology and MetabERN, Esplugues de Llobregat, Barcelona, Spain
- Neurometabolic Unit, Hospital Sant Joan de Déu, Department of Neurology, Esplugues de Llobregat, Barcelona, Spain
- CIBERER-Spanish Biomedical Research Centre in Rare Diseases, Barcelona, Spain
| | - Alfonso Oyarzábal
- Synaptic Metabolism and Personalized Therapies Lab, Institut de Recerca Sant Joan de Déu, Department of Neurology and MetabERN, Esplugues de Llobregat, Barcelona, Spain
- Neurometabolic Unit, Hospital Sant Joan de Déu, Department of Neurology, Esplugues de Llobregat, Barcelona, Spain
- CIBERER-Spanish Biomedical Research Centre in Rare Diseases, Barcelona, Spain
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Antonietti M, Taylor Gonzalez DJ, Djulbegovic MB, Gameiro GR, Uversky VN, Sridhar J, Karp CL. Intrinsic disorder in the human vitreous proteome. Int J Biol Macromol 2024; 267:131274. [PMID: 38569991 PMCID: PMC11182622 DOI: 10.1016/j.ijbiomac.2024.131274] [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: 01/21/2024] [Revised: 03/24/2024] [Accepted: 03/28/2024] [Indexed: 04/05/2024]
Abstract
The vitreous is a vital component of the eye, occupying a substantial portion of its volume and maintaining its structure. This study delves into the presence and significance of intrinsically disordered proteins (IDPs) within the vitreous, utilizing a dataset of 1240 vitreous proteins previously discovered in the vitreous proteome by Murthy et al.in five healthy subjects. The results indicate that 26.9 % of vitreous proteins are highly disordered, 68.8 % possess moderate disorder, and only 4.3 % are highly ordered. A complex interaction network among these proteins suggests their biological importance, and approximately 25 % may undergo liquid-liquid phase separation (LLPS). These findings offer new perspectives on the vitreous' molecular composition and behavior, potentially impacting our understanding of eye-related diseases, physiological changes such as vitreous syneresis. Further research is needed to translate these insights into clinical applications, although the intrinsic protein disorder and its association with LLPS appears to play a role in vitreous proteome function.
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Affiliation(s)
- Michael Antonietti
- Bascom Palmer Eye Institute, University of Miami, Miami, FL, United States of America
| | | | - Mak B Djulbegovic
- Wills Eye Hospital, Thomas Jefferson University Hospital, Philadelphia, PA, United States of America
| | - Gustavo R Gameiro
- Bascom Palmer Eye Institute, University of Miami, Miami, FL, United States of America; Escola Paulista de Medicina, Federal University of Sao Paulo, Sao Paulo, SP, Brazil
| | - Vladimir N Uversky
- Department of Molecular Medicine and USF Health Byrd Alzheimer's Research Institute, Morsani College of Medicine, University of South Florida, Tampa, FL, United States of America
| | - Jayanth Sridhar
- Bascom Palmer Eye Institute, University of Miami, Miami, FL, United States of America
| | - Carol L Karp
- Bascom Palmer Eye Institute, University of Miami, Miami, FL, United States of America.
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Yang C, Ma Y, Yao M, Jiang Q, Xue J. Causal relationships between blood metabolites and diabetic retinopathy: a two-sample Mendelian randomization study. Front Endocrinol (Lausanne) 2024; 15:1383035. [PMID: 38752182 PMCID: PMC11094203 DOI: 10.3389/fendo.2024.1383035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Accepted: 04/05/2024] [Indexed: 05/18/2024] Open
Abstract
Background Diabetic retinopathy (DR) is a microvascular complication of diabetes, severely affecting patients' vision and even leading to blindness. The development of DR is influenced by metabolic disturbance and genetic factors, including gene polymorphisms. The research aimed to uncover the causal relationships between blood metabolites and DR. Methods The two-sample mendelian randomization (MR) analysis was employed to estimate the causality of blood metabolites on DR. The genetic variables for exposure were obtained from the genome-wide association study (GWAS) dataset of 486 blood metabolites, while the genetic predictors for outcomes including all-stage DR (All DR), non-proliferative DR (NPDR) and proliferative DR (PDR) were derived from the FinnGen database. The primary analysis employed inverse variance weighted (IVW) method, and supplementary analyses were performed using MR-Egger, weighted median (WM), simple mode and weighted mode methods. Additionally, MR-Egger intercept test, Cochran's Q test, and leave-one-out analysis were also conducted to guarantee the accuracy and robustness of the results. Subsequently, we replicated the MR analysis using three additional datasets from the FinnGen database and conducted a meta-analysis to determine blood metabolites associated with DR. Finally, reverse MR analysis and metabolic pathway analysis were performed. Results The study identified 13 blood metabolites associated with All DR, 9 blood metabolites associated with NPDR and 12 blood metabolites associated with PDR. In summary, a total of 21 blood metabolites were identified as having potential causal relationships with DR. Additionally, we identified 4 metabolic pathways that are related to DR. Conclusion The research revealed a number of blood metabolites and metabolic pathways that are causally associated with DR, which holds significant importance for screening and prevention of DR. However, it is noteworthy that these causal relationships should be validated in larger cohorts and experiments.
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Affiliation(s)
- Chongchao Yang
- The Affiliated Eye Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
- The Fourth School of Clinical Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yan Ma
- The Affiliated Eye Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
- The Fourth School of Clinical Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Mudi Yao
- Department of Ophthalmology, The First People's Hospital, Shanghai, China
| | - Qin Jiang
- The Affiliated Eye Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
- The Fourth School of Clinical Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Jinsong Xue
- The Affiliated Eye Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
- The Fourth School of Clinical Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
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9
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de Souza HMR, Pereira TTP, de Sá HC, Alves MA, Garrett R, Canuto GAB. Critical Factors in Sample Collection and Preparation for Clinical Metabolomics of Underexplored Biological Specimens. Metabolites 2024; 14:36. [PMID: 38248839 PMCID: PMC10819689 DOI: 10.3390/metabo14010036] [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: 11/24/2023] [Revised: 01/02/2024] [Accepted: 01/03/2024] [Indexed: 01/23/2024] Open
Abstract
This review article compiles critical pre-analytical factors for sample collection and extraction of eight uncommon or underexplored biological specimens (human breast milk, ocular fluids, sebum, seminal plasma, sweat, hair, saliva, and cerebrospinal fluid) under the perspective of clinical metabolomics. These samples are interesting for metabolomics studies as they reflect the status of living organisms and can be applied for diagnostic purposes and biomarker discovery. Pre-collection and collection procedures are critical, requiring protocols to be standardized to avoid contamination and bias. Such procedures must consider cleaning the collection area, sample stimulation, diet, and food and drug intake, among other factors that impact the lack of homogeneity of the sample group. Precipitation of proteins and removal of salts and cell debris are the most used sample preparation procedures. This review intends to provide a global view of the practical aspects that most impact results, serving as a starting point for the designing of metabolomic experiments.
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Affiliation(s)
- Hygor M. R. de Souza
- Instituto de Química, Universidade Federal do Rio de Janeiro, LabMeta—LADETEC, Rio de Janeiro 21941-598, Brazil;
| | - Tássia T. P. Pereira
- Departamento de Genética, Ecologia e Evolucao, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, Brazil;
- Departamento de Biodiversidade, Evolução e Meio Ambiente, Universidade Federal de Ouro Preto, Ouro Preto 35400-000, Brazil
| | - Hanna C. de Sá
- Departamento de Química Analítica, Instituto de Química, Universidade Federal da Bahia, Salvador 40170-115, Brazil;
| | - Marina A. Alves
- Instituto de Pesquisa de Produtos Naturais Walter Mors, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-599, Brazil;
| | - Rafael Garrett
- Instituto de Química, Universidade Federal do Rio de Janeiro, LabMeta—LADETEC, Rio de Janeiro 21941-598, Brazil;
- Department of Laboratory Medicine, Boston Children’s Hospital—Harvard Medical School, Boston, MA 02115, USA
| | - Gisele A. B. Canuto
- Departamento de Química Analítica, Instituto de Química, Universidade Federal da Bahia, Salvador 40170-115, Brazil;
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10
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Luo L, Cai Y, Jiang Y, Gong Y, Cai C, Lai D, Jin X, Guan Z, Qiu Q. Pipecolic acid mitigates ferroptosis in diabetic retinopathy by regulating GPX4-YAP signaling. Biomed Pharmacother 2023; 169:115895. [PMID: 37984309 DOI: 10.1016/j.biopha.2023.115895] [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: 09/16/2023] [Revised: 11/09/2023] [Accepted: 11/13/2023] [Indexed: 11/22/2023] Open
Abstract
Diabetic retinopathy (DR) is currently recognized as the leading cause of end-stage eye disease. Pipecolic acid, a metabolite, has a significant regulatory effect on several pathological processes. However, the exact mechanism by which it causes damage in diabetic retinopathy is unknown. Between September 2021 and December 2022, 40 patients were retrospectively examined and divided into two groups: the healthy group (n = 20) and the DR group (n = 20). Metabolomic analysis found that pipecolic acid plays an important role in this process. Streptozotocin-induced diabetic mice and high-glucose cultured human retinal capillary endothelial cells (HRCECs) were then treated with pipecolic acid. Several oxidative stress measurements and RNA sequencing of retinal cells were tested. A gene interaction study was conducted using bioinformatics. Comparison of serological metabolites between healthy volunteers and DR patients showed that pipecolic acid was significantly lower in DR patients, and there was a negative correlation between the level of pipecolic acid with blood glucose and glycated hemoglobin. Yes-associated protein (YAP) mRNA, Malondialdehyde (MDA), and reactive oxygen species (ROS) levels were significantly higher in diabetic mice, but glutathione peroxidase (GSH-Px) levels were significantly lower. Pipecolic acid significantly alleviated oxidative stress and YAP expression. The number of vascular tubes was significantly higher in the DR group, and pipecolic acid treatment significantly reduced tube formation. RNA-Sequencing analysis revealed that YAP and glutathione-dependent lipid hydroperoxidase glutathione peroxidase 4 (GPX4) expression was reduced, and functional enrichment analysis revealed that ferroptosis and Hippo signaling pathways play an important role in this process. Additionally, pipecolic acid's ability to improve DR is diminished after YAP and GPX4 ablation. This study found that pipecolic acid, as a metabolite, may impede the progression of DR by inhibiting the YAP-GPX4 signaling pathway.
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Affiliation(s)
- Liying Luo
- Department of Ophthalmology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | - Yuying Cai
- Department of Ophthalmology, Yangpu Hospital, School of Medicine, Tongji University, Shanghai, PR China
| | - Yanyun Jiang
- Department of Ophthalmology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | - Yingying Gong
- Department of Ophthalmology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | - Chunyang Cai
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China; National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, PR China
| | - Dongwei Lai
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China; National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, PR China
| | - Xiao Jin
- Department of Rheumatology and Immunology, Xuzhou Municipal Hospital Affiliated with Xuzhou Medical University, Xuzhou, Jiangsu PR China
| | - Zhiqiang Guan
- Department of Dermatology, Xuzhou Municipal Hospital Affiliated with Xuzhou Medical University, Xuzhou, Jiangsu, PR China.
| | - Qinghua Qiu
- Department of Ophthalmology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China.
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11
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Yuan Z, Tian Y, Zhang C, Wang M, Xie J, Wang C, Huang J. Integration of systematic review, lipidomics with experiment verification reveals abnormal sphingolipids facilitate diabetic retinopathy by inducing oxidative stress on RMECs. Biochim Biophys Acta Mol Cell Biol Lipids 2023; 1868:159382. [PMID: 37659619 DOI: 10.1016/j.bbalip.2023.159382] [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: 05/05/2023] [Revised: 08/21/2023] [Accepted: 08/28/2023] [Indexed: 09/04/2023]
Abstract
OBJECTIVE This study aims to explore the potential biomarkers in the development of diabetes mellitus (DM) into diabetic retinopathy (DR). METHODS Systematic review of diabetic metabolomics was used to screen the differential metabolites and related pathways during the development of DM. Non-targeted lipidomics of rat plasma was performed to explore the differential metabolites in the development of DM into DR in vivo. To verify the effects of differential metabolites in inducing retinal microvascular endothelial cells (RMECs) injury by increasing oxidative stress, high glucose medium containing differential metabolites was used to induce rat RMECs injury and cell viability, malondialdehyde (MDA) contents, superoxide dismutase (SOD) activities, reactive oxygen species (ROS) levels and mitochondrial membrane potential (MMP) were evaluated in vitro. Network pharmacology was performed to explore the potential mechanism of differential metabolites in inducing DR. RESULTS Through the systematic review, 148 differential metabolites were obtained and the sphingolipid metabolic pathway attracted our attention. Plasma non-targeted lipidomics found that sphingolipids were accompanied by the development of DM into DR. In vitro experiments showed sphinganine and sphingosine-1-phosphate aggravated rat RMECs injury induced by high glucose, further increased MDA and ROS levels, and further decreased SOD activities and MMP. Network pharmacology revealed sphinganine and sphingosine-1-phosphate may induce DR by regulating the AGE-RAGE and HIF-1 signaling pathways. CONCLUSIONS Integrated systematic review, lipidomics and experiment verification reveal that abnormal sphingolipid metabolism facilitates DR by inducing oxidative stress on RMECs. Our study could provide the experimental basis for finding potential biomarkers for the diagnosis and treatment of DR.
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Affiliation(s)
- Zhenshuang Yuan
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100029, China
| | - Yue Tian
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100029, China
| | - Cong Zhang
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100029, China
| | - Mingshuang Wang
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100029, China
| | - Jiaqi Xie
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100029, China
| | - Can Wang
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100029, China.
| | - Jianmei Huang
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100029, China.
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12
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He S, Sun L, Chen J, Ouyang Y. Recent Advances and Perspectives in Relation to the Metabolomics-Based Study of Diabetic Retinopathy. Metabolites 2023; 13:1007. [PMID: 37755287 PMCID: PMC10536395 DOI: 10.3390/metabo13091007] [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: 08/13/2023] [Revised: 09/03/2023] [Accepted: 09/05/2023] [Indexed: 09/28/2023] Open
Abstract
Diabetic retinopathy (DR), a prevalent microvascular complication of diabetes, is a major cause of acquired blindness in adults. Currently, a clinical diagnosis of DR primarily relies on fundus fluorescein angiography, with a limited availability of effective biomarkers. Metabolomics, a discipline dedicated to scrutinizing the response of various metabolites within living organisms, has shown noteworthy advancements in uncovering metabolic disorders and identifying key metabolites associated with DR in recent years. Consequently, this review aims to present the latest advancements in metabolomics techniques and comprehensively discuss the principal metabolic outcomes derived from analyzing blood, vitreous humor, aqueous humor, urine, and fecal samples.
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Affiliation(s)
| | | | | | - Yang Ouyang
- Department of Health Inspection and Quarantine, School of Public Health, Fujian Medical University, Fuzhou 350122, China; (S.H.)
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13
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Antonietti M, Gonzalez DJT, Djulbegovic M, Dayhoff GW, Uversky VN, Shields CL, Karp CL. Intrinsic disorder in PRAME and its role in uveal melanoma. Cell Commun Signal 2023; 21:222. [PMID: 37626310 PMCID: PMC10463658 DOI: 10.1186/s12964-023-01197-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Accepted: 06/13/2023] [Indexed: 08/27/2023] Open
Abstract
INTRODUCTION The PReferentially expressed Antigen in MElanoma (PRAME) protein has been shown to be an independent biomarker for increased risk of metastasis in Class 1 uveal melanomas (UM). Intrinsically disordered proteins and regions of proteins (IDPs/IDPRs) are proteins that do not have a well-defined three-dimensional structure and have been linked to neoplastic development. Our study aimed to evaluate the presence of intrinsic disorder in PRAME and the role these structureless regions have in PRAME( +) Class 1 UM. METHODS A bioinformatics study to characterize PRAME's propensity for the intrinsic disorder. We first used the AlphaFold tool to qualitatively assess the protein structure of PRAME. Then we used the Compositional Profiler and a set of per-residue intrinsic disorder predictors to quantify the intrinsic disorder. The Database of Disordered Protein Prediction (D2P2) platform, IUPred, FuzDrop, fIDPnn, AUCpred, SPOT-Disorder2, and metapredict V2 allowed us to evaluate the potential functional disorder of PRAME. Additionally, we used the Search Tool for the Retrieval of Interacting Genes (STRING) to analyze PRAME's potential interactions with other proteins. RESULTS Our structural analysis showed that PRAME contains intrinsically disordered protein regions (IDPRs), which are structureless and flexible. We found that PRAME is significantly enriched with serine (p-value < 0.05), a disorder-promoting amino acid. PRAME was found to have an average disorder score of 16.49% (i.e., moderately disordered) across six per-residue intrinsic disorder predictors. Our IUPred analysis revealed the presence of disorder-to-order transition (DOT) regions in PRAME near the C-terminus of the protein (residues 475-509). The D2P2 platform predicted a region from approximately 140 and 175 to be highly concentrated with post-translational modifications (PTMs). FuzDrop predicted the PTM hot spot of PRAME to be a droplet-promoting region and an aggregation hotspot. Finally, our analysis using the STRING tool revealed that PRAME has significantly more interactions with other proteins than expected for randomly selected proteins of the same size, with the ability to interact with 84 different partners (STRING analysis result: p-value < 1.0 × 10-16; model confidence: 0.400). CONCLUSION Our study revealed that PRAME has IDPRs that are possibly linked to its functionality in the context of Class 1 UM. The regions of functionality (i.e., DOT regions, PTM sites, droplet-promoting regions, and aggregation hotspots) are localized to regions of high levels of disorder. PRAME has a complex protein-protein interaction (PPI) network that may be secondary to the structureless features of the polypeptide. Our findings contribute to our understanding of UM and suggest that IDPRs and DOT regions in PRAME may be targeted in developing new therapies for this aggressive cancer. Video Abstract.
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Affiliation(s)
- Michael Antonietti
- Bascom Palmer Eye Institute, University of Miami, 900 NW 17th Street, Miami, FL, 33136, USA
| | | | - Mak Djulbegovic
- Bascom Palmer Eye Institute, University of Miami, 900 NW 17th Street, Miami, FL, 33136, USA
| | - Guy W Dayhoff
- Department of Chemistry, College of Art and Sciences, University of South Florida, FL, 33612, Tampa, USA
| | - Vladimir N Uversky
- Department of Molecular Medicine and USF Health Byrd Alzheimer's Research Institute, Morsani College of Medicine, University of South Florida, FL, 33612, Tampa, USA
| | - Carol L Shields
- Ocular Oncology Service, Wills Eye Hospital, Thomas Jefferson University, PA, Philadelphia, USA
| | - Carol L Karp
- Bascom Palmer Eye Institute, University of Miami, 900 NW 17th Street, Miami, FL, 33136, USA.
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14
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de Souza Nogueira J, Santos-Rebouças CB, Piergiorge RM, Valente AP, Gama-Almeida MC, El-Bacha T, Lopes Moreira ML, Baptista Marques BS, de Siqueira JR, de Carvalho EM, da Costa Ferreira O, Porto LC, Kelly da Silva Fidalgo T, Costa Dos Santos G. Metabolic Adaptations Correlated with Antibody Response after Immunization with Inactivated SARS-CoV-2 in Brazilian Subjects. J Proteome Res 2023. [PMID: 37167433 DOI: 10.1021/acs.jproteome.3c00014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
The adsorbed vaccine SARS-CoV-2 (inactivated) produced by Sinovac (SV) was the first vaccine against COVID-19 to be used in Brazil. To understand the metabolic effects of SV in Brazilian subjects, NMR-based metabolomics was used, and the immune response was studied in Brazilian subjects. Forty adults without (group-, n = 23) and with previous COVID-19 infection (group+, n = 17) were followed-up for 90 days postcompletion of the vaccine regimen. After 90 days, our results showed that subjects had increased levels of lipoproteins, lipids, and N-acetylation of glycoproteins (NAG) as well as decreased levels of amino acids, lactate, citrate, and 3-hydroxypropionate. NAG and threonine were the highest correlated metabolites with N and S proteins, and neutralizing Ab levels. This study sheds light on the immunometabolism associated with the use of SV in Brazilian subjects from Rio de Janeiro and identifies potential metabolic markers associated with the immune status.
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Affiliation(s)
- Jeane de Souza Nogueira
- Histocompatibility and Cryopreservation Laboratory, IBRAG, Rio de Janeiro State University, CEP 20950-003 Rio de Janeiro, Rio de Janeiro, Brazil
| | - Cíntia Barros Santos-Rebouças
- Department of Genetics, IBRAG, Rio de Janeiro State University, CEP 20550-013 Rio de Janeiro, Rio de Janeiro, Brazil
| | - Rafael Mina Piergiorge
- Department of Genetics, IBRAG, Rio de Janeiro State University, CEP 20550-013 Rio de Janeiro, Rio de Janeiro, Brazil
| | - Ana Paula Valente
- CENABIO I, Institute of Medical Biochemistry, CNRMN, BioNMR, Federal University of Rio de Janeiro, CEP 21941-902 Rio de Janeiro, Rio de Janeiro, Brazil
| | - Marcos C Gama-Almeida
- LeBioME-Bioactives, Mitochondria and Placental Metabolism Core, Institute of Nutrition Josué de Castro, Federal University of Rio de Janeiro, CEP 21941-902 Rio de Janeiro, Rio de Janeiro, Brazil
| | - Tatiana El-Bacha
- LeBioME-Bioactives, Mitochondria and Placental Metabolism Core, Institute of Nutrition Josué de Castro, Federal University of Rio de Janeiro, CEP 21941-902 Rio de Janeiro, Rio de Janeiro, Brazil
| | | | | | | | | | - Orlando da Costa Ferreira
- Molecular Virology Laboratory, Federal University of Rio de Janeiro, CEP 21941-902 Rio de Janeiro, Rio de Janeiro, Brazil
| | - Luís Cristóvão Porto
- Histocompatibility and Cryopreservation Laboratory, IBRAG, Rio de Janeiro State University, CEP 20950-003 Rio de Janeiro, Rio de Janeiro, Brazil
| | - Tatiana Kelly da Silva Fidalgo
- Department of Preventive and Community Dentistry, Dental School, Rio de Janeiro State University, CEP 20551-030 Rio de Janeiro, Rio de Janeiro, Brazil
| | - Gilson Costa Dos Santos
- Department of Genetics, IBRAG, Rio de Janeiro State University, CEP 20550-013 Rio de Janeiro, Rio de Janeiro, Brazil
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15
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Wen X, Ng TK, Liu Q, Wu Z, Zhang G, Zhang M. Azelaic acid and guanosine in tears improve discrimination of proliferative from non-proliferative diabetic retinopathy in type-2 diabetes patients: A tear metabolomics study. Heliyon 2023; 9:e16109. [PMID: 37305454 PMCID: PMC10256905 DOI: 10.1016/j.heliyon.2023.e16109] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 05/02/2023] [Accepted: 05/05/2023] [Indexed: 06/13/2023] Open
Abstract
Background Diabetic retinopathy (DR) is the microvascular ocular complication of diabetes mellitus (DM), which can lead to irreversible blindness and visual impairment if not properly treated. Tears can be collected non-invasively, and the compositions of tears could be the potential biomarkers for ocular diseases. Here we aimed to delineate the metabolomics signature in tears collected from Chinese type-2 DM patients with DR. Methods The metabolomics profiles of tear samples from 41 Chinese type-2 DM patients with DR and 21 non-diabetic subjects were determined by the untargeted liquid chromatography-mass spectrometry. The associated pathways of the differentially abundant metabolites were delineated, and the receiver operating characteristic curve analysis was conducted to identify the metabolites differentiating non-proliferative DR (NPDR) from proliferative DR (PDR). Results Total 14 differentially abundant metabolites were identified between total DR and non-diabetic subjects, and 17 differentially abundant metabolites were found between the NPDR and PDR subjects. Moreover, total 18 differentially abundant metabolites were identified between the NPDR and PDR subjects with stratification in DR duration and blood glucose level. d-Glutamine and d-glutamate metabolism was significantly highlighted in the PDR group as compared to the non-diabetic group. For the predictive performance, azelaic acid combined with guanosine achieved the area under receiver operating characteristic curve of 0.855 in the comparison between NPDR and PDR groups. Conclusion This study revealed the metabolomics changes in tear samples of DR patients. The metabolites in tears could be the potential biomarkers in the DR analysis.
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Affiliation(s)
- Xin Wen
- Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, Guangdong, China
- Shantou University Medical College, Shantou, Guangdong, China
| | - Tsz Kin Ng
- Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, Guangdong, China
- Shantou University Medical College, Shantou, Guangdong, China
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Qingping Liu
- Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, Guangdong, China
| | - Zhenggen Wu
- Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, Guangdong, China
| | - Guihua Zhang
- Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, Guangdong, China
| | - Mingzhi Zhang
- Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, Guangdong, China
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16
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Essential Role of Multi-Omics Approaches in the Study of Retinal Vascular Diseases. Cells 2022; 12:cells12010103. [PMID: 36611897 PMCID: PMC9818611 DOI: 10.3390/cells12010103] [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: 12/04/2022] [Revised: 12/19/2022] [Accepted: 12/22/2022] [Indexed: 12/28/2022] Open
Abstract
Retinal vascular disease is a highly prevalent vision-threatening ocular disease in the global population; however, its exact mechanism remains unclear. The expansion of omics technologies has revolutionized a new medical research methodology that combines multiple omics data derived from the same patients to generate multi-dimensional and multi-evidence-supported holistic inferences, providing unprecedented opportunities to elucidate the information flow of complex multi-factorial diseases. In this review, we summarize the applications of multi-omics technology to further elucidate the pathogenesis and complex molecular mechanisms underlying retinal vascular diseases. Moreover, we proposed multi-omics-based biomarker and therapeutic strategy discovery methodologies to optimize clinical and basic medicinal research approaches to retinal vascular diseases. Finally, the opportunities, current challenges, and future prospects of multi-omics analyses in retinal vascular disease studies are discussed in detail.
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17
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Wang R, Jian Q, Hu G, Du R, Xu X, Zhang F. Integrated Metabolomics and Transcriptomics Reveal Metabolic Patterns in Retina of STZ-Induced Diabetic Retinopathy Mouse Model. Metabolites 2022; 12:metabo12121245. [PMID: 36557283 PMCID: PMC9782096 DOI: 10.3390/metabo12121245] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 11/24/2022] [Accepted: 12/07/2022] [Indexed: 12/14/2022] Open
Abstract
Diabetic retinopathy (DR), as the leading cause of vision loss in the working-age population, exhibits unique metabolite profiles in human plasma and vitreous. However, those in retina are not fully understood. Here, we utilized liquid and gas chromatography-tandem mass spectrometry technology to explore metabolite characteristics of streptozotocin (STZ)-induced diabetic mice retina. A total of 145 metabolites differed significantly in diabetic retinas compared with controls. These metabolites are mainly enriched in the Warburg effect, and valine, leucine and isoleucine degradation pathways. To further identify underlying regulators, RNA sequencing was performed to integrate metabolic enzyme alterations with metabolomics in STZ-induced diabetic retina. Retinol metabolism and tryptophan metabolism are the shared pathways enriched by metabolome and transcriptome. Additionally, transcriptomic analysis identified 71 differentially expressed enzyme-related genes including Hk2, Slc7a5, Aldh1a3 and Tph integrated with altered metabolic pathways. In addition, single nucleotide polymorphisms within 6 out of 71 genes are associated with increased diabetes risk. This study lays the foundation for mechanism research and the therapeutic target development of DR.
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Affiliation(s)
- Ruonan Wang
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China
- National Clinical Research Center for Eye Diseases, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China
- Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai 200080, China
- Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai 200080, China
- Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai 200080, China
| | - Qizhi Jian
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China
- National Clinical Research Center for Eye Diseases, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China
- Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai 200080, China
- Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai 200080, China
- Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai 200080, China
| | - Guangyi Hu
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China
- National Clinical Research Center for Eye Diseases, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China
- Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai 200080, China
- Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai 200080, China
- Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai 200080, China
| | - Rui Du
- Department of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China
| | - Xun Xu
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China
- National Clinical Research Center for Eye Diseases, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China
- Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai 200080, China
- Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai 200080, China
- Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai 200080, China
- Correspondence: (X.X.); (F.Z.)
| | - Fang Zhang
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China
- National Clinical Research Center for Eye Diseases, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China
- Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai 200080, China
- Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai 200080, China
- Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai 200080, China
- Correspondence: (X.X.); (F.Z.)
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Amino Acids Metabolism in Retinopathy: From Clinical and Basic Research Perspective. Metabolites 2022; 12:metabo12121244. [PMID: 36557282 PMCID: PMC9781488 DOI: 10.3390/metabo12121244] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 11/22/2022] [Accepted: 12/06/2022] [Indexed: 12/14/2022] Open
Abstract
Retinopathy, including age-related macular degeneration (AMD), diabetic retinopathy (DR), and retinopathy of prematurity (ROP), are the leading cause of blindness among seniors, working-age populations, and children. However, the pathophysiology of retinopathy remains unclear. Accumulating studies demonstrate that amino acid metabolism is associated with retinopathy. This study discusses the characterization of amino acids in DR, AMD, and ROP by metabolomics from clinical and basic research perspectives. The features of amino acids in retinopathy were summarized using a comparative approach based on existing high-throughput metabolomics studies from PubMed. Besides taking up a large proportion, amino acids appear in both human and animal, intraocular and peripheral samples. Among them, some metabolites differ significantly in all three types of retinopathy, including glutamine, glutamate, alanine, and others. Studies on the mechanisms behind retinal cell death caused by glutamate accumulation are on the verge of making some progress. To develop potential therapeutics, it is imperative to understand amino acid-induced retinal functional alterations and the underlying mechanisms. This review delineates the significance of amino acid metabolism in retinopathy and provides possible direction to discover therapeutic targets for retinopathy.
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Ding C, Wang N, Wang Z, Yue W, Li B, Zeng J, Yoshida S, Yang Y, Zhou Y. Integrated Analysis of Metabolomics and Lipidomics in Plasma of T2DM Patients with Diabetic Retinopathy. Pharmaceutics 2022; 14:pharmaceutics14122751. [PMID: 36559245 PMCID: PMC9786316 DOI: 10.3390/pharmaceutics14122751] [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: 10/29/2022] [Revised: 12/06/2022] [Accepted: 12/06/2022] [Indexed: 12/13/2022] Open
Abstract
Diabetic retinopathy (DR) is a major cause of blindness worldwide and may be non-proliferative (NPDR) or proliferative (PDR). To Investig.gate the metabolomic and lipidomic characteristics of plasma in DR patients, plasma samples were collected from patients with type 2 diabetes mellitus (DR group) with PDR (n = 27), NPDR (n = 18), or no retinopathy (controls, n = 21). Levels of 54 and 41 metabolites were significantly altered in the plasma of DR patients under positive and negative ion modes, respectively. By subgroup analysis, 74 and 29 significantly changed plasma metabolites were detected in PDR patients compared with NPDR patients under positive and negative ion modes, respectively. KEGG analysis indicated that pathways such as biosynthesis of amino acids and neuroactive ligand-receptor interaction were among the most enriched pathways in altered metabolites in the DR group and PDR subgroup. Moreover, a total of 26 and 41 lipids were significantly changed in the DR group and the PDR subgroup, respectively. The panel using the 29-item index could discriminate effectively between diabetic patients with and without retinopathy, and the panel of 22 items showed effective discrimination between PDR and NPDR. These results provide a basis for further research into the therapeutic targets associated with these metabolite and lipid alterations.
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Affiliation(s)
- Chun Ding
- Department of Ophthalmology, The Second Xiangya Hospital of Central South University, Changsha 410011, China
- Hunan Clinical Research Center of Ophthalmic Disease, The Second Xiangya Hospital of Central South University, Changsha 410011, China
- National Clinical Research Center for Metabolic Diseases, The Second Xiangya Hospital of Central South University, Changsha 410011, China
| | - Nan Wang
- Department of Ophthalmology, The Second Xiangya Hospital of Central South University, Changsha 410011, China
- Hunan Clinical Research Center of Ophthalmic Disease, The Second Xiangya Hospital of Central South University, Changsha 410011, China
- National Clinical Research Center for Metabolic Diseases, The Second Xiangya Hospital of Central South University, Changsha 410011, China
| | - Zicong Wang
- Department of Ophthalmology, The Second Xiangya Hospital of Central South University, Changsha 410011, China
- Hunan Clinical Research Center of Ophthalmic Disease, The Second Xiangya Hospital of Central South University, Changsha 410011, China
- National Clinical Research Center for Metabolic Diseases, The Second Xiangya Hospital of Central South University, Changsha 410011, China
| | - Wenyun Yue
- Department of Ophthalmology, The Second Xiangya Hospital of Central South University, Changsha 410011, China
- Hunan Clinical Research Center of Ophthalmic Disease, The Second Xiangya Hospital of Central South University, Changsha 410011, China
- National Clinical Research Center for Metabolic Diseases, The Second Xiangya Hospital of Central South University, Changsha 410011, China
| | - Bingyan Li
- Department of Ophthalmology, The Second Xiangya Hospital of Central South University, Changsha 410011, China
- Hunan Clinical Research Center of Ophthalmic Disease, The Second Xiangya Hospital of Central South University, Changsha 410011, China
- National Clinical Research Center for Metabolic Diseases, The Second Xiangya Hospital of Central South University, Changsha 410011, China
| | - Jun Zeng
- Department of Ophthalmology, The Second Xiangya Hospital of Central South University, Changsha 410011, China
- Hunan Clinical Research Center of Ophthalmic Disease, The Second Xiangya Hospital of Central South University, Changsha 410011, China
- National Clinical Research Center for Metabolic Diseases, The Second Xiangya Hospital of Central South University, Changsha 410011, China
| | - Shigeo Yoshida
- Department of Ophthalmology, Kurume University School of Medicine, Kurume 830-0011, Japan
| | - Yan Yang
- Department of Ophthalmology, The Second Xiangya Hospital of Central South University, Changsha 410011, China
- Hunan Clinical Research Center of Ophthalmic Disease, The Second Xiangya Hospital of Central South University, Changsha 410011, China
- National Clinical Research Center for Metabolic Diseases, The Second Xiangya Hospital of Central South University, Changsha 410011, China
- Correspondence: (Y.Y.); (Y.Z.)
| | - Yedi Zhou
- Department of Ophthalmology, The Second Xiangya Hospital of Central South University, Changsha 410011, China
- Hunan Clinical Research Center of Ophthalmic Disease, The Second Xiangya Hospital of Central South University, Changsha 410011, China
- National Clinical Research Center for Metabolic Diseases, The Second Xiangya Hospital of Central South University, Changsha 410011, China
- Correspondence: (Y.Y.); (Y.Z.)
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20
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Jian Q, Wu Y, Zhang F. Metabolomics in Diabetic Retinopathy: From Potential Biomarkers to Molecular Basis of Oxidative Stress. Cells 2022; 11:cells11193005. [PMID: 36230967 PMCID: PMC9563658 DOI: 10.3390/cells11193005] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Accepted: 09/22/2022] [Indexed: 11/18/2022] Open
Abstract
Diabetic retinopathy (DR), the leading cause of blindness in working-age adults, is one of the most common complications of diabetes mellitus (DM) featured by metabolic disorders. With the global prevalence of diabetes, the incidence of DR is expected to increase. Prompt detection and the targeting of anti-oxidative stress intervention could effectively reduce visual impairment caused by DR. However, the diagnosis and treatment of DR is often delayed due to the absence of obvious signs of retina imaging. Research progress supports that metabolomics is a powerful tool to discover potential diagnostic biomarkers and therapeutic targets for the causes of oxidative stress through profiling metabolites in diseases, which provides great opportunities for DR with metabolic heterogeneity. Thus, this review summarizes the latest advances in metabolomics in DR, as well as potential diagnostic biomarkers, and predicts molecular targets through the integration of genome-wide association studies (GWAS) with metabolomics. Metabolomics provides potential biomarkers, molecular targets and therapeutic strategies for controlling the progress of DR, especially the interventions at early stages and precise treatments based on individual patient variations.
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Affiliation(s)
- Qizhi Jian
- National Clinical Research Center for Eye Diseases, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China
- Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai 200080, China
- Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai 200080, China
- Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai 200080, China
| | - Yingjie Wu
- Institute for Genome Engineered Animal Models of Human Diseases, National Center of Genetically Engineered Animal Models for International Research, Liaoning Provence Key Laboratory of Genome Engineered Animal Models, Dalian Medical University, Dalian 116000, China
- Shandong Provincial Hospital, School of Laboratory Animal & Shandong Laboratory Animal Center, Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250021, China
- Department of Molecular Pathobiology, New York University College of Dentistry, New York, NY 10010, USA
- Correspondence: (Y.W.); (F.Z.)
| | - Fang Zhang
- National Clinical Research Center for Eye Diseases, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China
- Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai 200080, China
- Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai 200080, China
- Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai 200080, China
- Correspondence: (Y.W.); (F.Z.)
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21
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Metabolomics and Biomarkers in Retinal and Choroidal Vascular Diseases. Metabolites 2022; 12:metabo12090814. [PMID: 36144219 PMCID: PMC9503269 DOI: 10.3390/metabo12090814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 08/25/2022] [Accepted: 08/27/2022] [Indexed: 11/17/2022] Open
Abstract
The retina is one of the most important structures in the eye, and the vascular health of the retina and choroid is critical to visual function. Metabolomics provides an analytical approach to endogenous small molecule metabolites in organisms, summarizes the results of “gene-environment interactions”, and is an ideal analytical tool to obtain “biomarkers” related to disease information. This study discusses the metabolic changes in neovascular diseases involving the retina and discusses the progress of the study from the perspective of metabolomics design and analysis. This study advocates a comparative strategy based on existing studies, which encompasses optimization of the performance of newly identified biomarkers and the consideration of the basis of existing studies, which facilitates quality control of newly discovered biomarkers and is recommended as an additional reference strategy for new biomarker discovery. Finally, by describing the metabolic mechanisms of retinal and choroidal neovascularization, based on the results of existing studies, this study provides potential opportunities to find new therapeutic approaches.
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Yang Y, Yue W, Wang N, Wang Z, Li B, Zeng J, Yoshida S, Ding C, Zhou Y. Altered Expressions of Transfer RNA-Derived Small RNAs and microRNAs in the Vitreous Humor of Proliferative Diabetic Retinopathy. Front Endocrinol (Lausanne) 2022; 13:913370. [PMID: 35903272 PMCID: PMC9315217 DOI: 10.3389/fendo.2022.913370] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 05/23/2022] [Indexed: 11/28/2022] Open
Abstract
PURPOSE We sought to reveal the expression profiles of transfer RNA-derived small RNAs (tsRNAs) and microRNAs (miRNAs) in the vitreous humor of patients with proliferative diabetic retinopathy (PDR). METHODS Vitreous humor samples were obtained from PDR patients and a control group for this study. Sequencing of small RNAs was conducted to assess the expression profiles of tsRNAs and miRNAs in both groups, which was followed by validation using reverse transcription-quantitative real-time polymerase chain reaction (RT-qPCR). Bioinformatics analyses were conducted to predict the target genes and their potential biological functions and signaling pathways. RESULTS A total of 37 tsRNAs and 70 miRNAs with significant differences were screened out from the vitreous humor samples of PDR patients compared to controls. Following validation by RT-qPCR, the target genes of the validated tsRNAs and miRNAs were predicted, and Gene Ontology analysis indicated that the target genes of the tsRNAs were most enriched in the cellular macromolecule metabolic process, cytoplasm, and ion-binding, while those of the miRNAs were most abundant in the regulation of major metabolic process, cytoplasm, and protein-binding. In addition, Kyoto Encyclopedia of Genes and Genomes pathway analysis showed that the target genes of said tsRNAs and miRNAs were most enriched in the adenosine monophosphate-activated protein kinase signaling pathway and Th17 cell differentiation, respectively. CONCLUSIONS The present study identified altered tsRNAs and miRNAs in vitreous humor samples of PDR patients, which may play important roles in the pathogenesis of PDR and could be considered potential therapeutic targets in the treatment of PDR.
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Affiliation(s)
- Yan Yang
- Department of Ophthalmology, The Second Xiangya Hospital of Central South University, Changsha, China
- Hunan Clinical Research Center of Ophthalmic Disease, Changsha, China
| | - Wenyun Yue
- Department of Ophthalmology, The Second Xiangya Hospital of Central South University, Changsha, China
- Hunan Clinical Research Center of Ophthalmic Disease, Changsha, China
| | - Nan Wang
- Department of Ophthalmology, The Second Xiangya Hospital of Central South University, Changsha, China
- Hunan Clinical Research Center of Ophthalmic Disease, Changsha, China
| | - Zicong Wang
- Department of Ophthalmology, The Second Xiangya Hospital of Central South University, Changsha, China
- Hunan Clinical Research Center of Ophthalmic Disease, Changsha, China
| | - Bingyan Li
- Department of Ophthalmology, The Second Xiangya Hospital of Central South University, Changsha, China
- Hunan Clinical Research Center of Ophthalmic Disease, Changsha, China
| | - Jun Zeng
- Department of Ophthalmology, The Second Xiangya Hospital of Central South University, Changsha, China
- Hunan Clinical Research Center of Ophthalmic Disease, Changsha, China
| | - Shigeo Yoshida
- Department of Ophthalmology, Kurume University School of Medicine, Kurume, Japan
| | - Chun Ding
- Department of Ophthalmology, The Second Xiangya Hospital of Central South University, Changsha, China
- Hunan Clinical Research Center of Ophthalmic Disease, Changsha, China
- *Correspondence: Yedi Zhou, ; Chun Ding,
| | - Yedi Zhou
- Department of Ophthalmology, The Second Xiangya Hospital of Central South University, Changsha, China
- Hunan Clinical Research Center of Ophthalmic Disease, Changsha, China
- *Correspondence: Yedi Zhou, ; Chun Ding,
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Du X, Yang L, Kong L, Sun Y, Shen K, Cai Y, Sun H, Zhang B, Guo S, Zhang A, Wang X. Metabolomics of various samples advancing biomarker discovery and pathogenesis elucidation for diabetic retinopathy. Front Endocrinol (Lausanne) 2022; 13:1037164. [PMID: 36387907 PMCID: PMC9646596 DOI: 10.3389/fendo.2022.1037164] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Accepted: 10/10/2022] [Indexed: 11/28/2022] Open
Abstract
Diabetic retinopathy (DR) is a universal microvascular complication of diabetes mellitus (DM), which is the main reason for global sight damage/loss in middle-aged and/or older people. Current clinical analyses, like hemoglobin A1c, possess some importance as prognostic indicators for DR severity, but no effective circulating biomarkers are used for DR in the clinic currently, and studies on the latent pathophysiology remain lacking. Recent developments in omics, especially metabolomics, continue to disclose novel potential biomarkers in several fields, including but not limited to DR. Therefore, based on the overview of metabolomics, we reviewed progress in analytical technology of metabolomics, the prominent roles and the current status of biomarkers in DR, and the update of potential biomarkers in various DR-related samples via metabolomics, including tear as well as vitreous humor, aqueous humor, retina, plasma, serum, cerebrospinal fluid, urine, and feces. In this review, we underscored the in-depth analysis and elucidation of the common biomarkers in different biological samples based on integrated results, namely, alanine, lactate, and glutamine. Alanine may participate in and regulate glucose metabolism through stimulating N-methyl-D-aspartate receptors and subsequently suppressing insulin secretion, which is the potential pathogenesis of DR. Abnormal lactate could cause extensive oxidative stress and neuroinflammation, eventually leading to retinal hypoxia and metabolic dysfunction; on the other hand, high-level lactate may damage the structure and function of the retinal endothelial cell barrier via the G protein-coupled receptor 81. Abnormal glutamine indicates a disturbance of glutamate recycling, which may affect the activation of Müller cells and proliferation via the PPP1CA-YAP-GS-Gln-mTORC1 pathway.
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Affiliation(s)
- Xiaohui Du
- National Chinmedomics Research Center, National TCM Key Laboratory of Serum Pharmacochemistry, Metabolomics Laboratory, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Le Yang
- State Key Laboratory of Dampness Syndrome, the Second Affiliated Hospital Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Ling Kong
- National Chinmedomics Research Center, National TCM Key Laboratory of Serum Pharmacochemistry, Metabolomics Laboratory, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Ye Sun
- National Chinmedomics Research Center, National TCM Key Laboratory of Serum Pharmacochemistry, Metabolomics Laboratory, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, Harbin, China
- State Key Laboratory of Dampness Syndrome, the Second Affiliated Hospital Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Kunshuang Shen
- National Chinmedomics Research Center, National TCM Key Laboratory of Serum Pharmacochemistry, Metabolomics Laboratory, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Ying Cai
- National Chinmedomics Research Center, National TCM Key Laboratory of Serum Pharmacochemistry, Metabolomics Laboratory, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Hui Sun
- National Chinmedomics Research Center, National TCM Key Laboratory of Serum Pharmacochemistry, Metabolomics Laboratory, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, Harbin, China
- *Correspondence: Hui Sun, ; Xijun Wang,
| | - Bo Zhang
- National Chinmedomics Research Center, National TCM Key Laboratory of Serum Pharmacochemistry, Metabolomics Laboratory, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Sifan Guo
- National Chinmedomics Research Center, National TCM Key Laboratory of Serum Pharmacochemistry, Metabolomics Laboratory, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Aihua Zhang
- National Chinmedomics Research Center, National TCM Key Laboratory of Serum Pharmacochemistry, Metabolomics Laboratory, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Xijun Wang
- National Chinmedomics Research Center, National TCM Key Laboratory of Serum Pharmacochemistry, Metabolomics Laboratory, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, Harbin, China
- State Key Laboratory of Dampness Syndrome, the Second Affiliated Hospital Guangzhou University of Chinese Medicine, Guangzhou, China
- State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macau, Macau SAR, China
- *Correspondence: Hui Sun, ; Xijun Wang,
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