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Shiels A. Through the Cat-Map Gateway: A Brief History of Cataract Genetics. Genes (Basel) 2024; 15:785. [PMID: 38927721 PMCID: PMC11202810 DOI: 10.3390/genes15060785] [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: 05/21/2024] [Revised: 06/06/2024] [Accepted: 06/13/2024] [Indexed: 06/28/2024] Open
Abstract
Clouding of the transparent eye lens, or cataract(s), is a leading cause of visual impairment that requires surgical replacement with a synthetic intraocular lens to effectively restore clear vision. Most frequently, cataract is acquired with aging as a multifactorial or complex trait. Cataract may also be inherited as a classic Mendelian trait-often with an early or pediatric onset-with or without other ocular and/or systemic features. Since the early 1990s, over 85 genes and loci have been genetically associated with inherited and/or age-related forms of cataract. While many of these underlying genes-including those for lens crystallins, connexins, and transcription factors-recapitulate signature features of lens development and differentiation, an increasing cohort of unpredicted genes, including those involved in cell-signaling, membrane remodeling, and autophagy, has emerged-providing new insights regarding lens homeostasis and aging. This review provides a brief history of gene discovery for inherited and age-related forms of cataract compiled in the Cat-Map database and highlights potential gene-based therapeutic approaches to delay, reverse, or even prevent cataract formation that may help to reduce the increasing demand for cataract surgery.
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Affiliation(s)
- Alan Shiels
- Department of Ophthalmology and Visual Sciences, Washington University School of Medicine, St. Louis, MO 63110, USA
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2
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Ye ST, Shang XW, Huang Y, Zhu S, Zhu ZT, Zhang XL, Wang W, Tang SL, Ge ZY, Yang XH, He MG. Association of age at diagnosis of diabetes with subsequent risk of age-related ocular diseases and vision acuity. World J Diabetes 2024; 15:697-711. [PMID: 38680694 PMCID: PMC11045417 DOI: 10.4239/wjd.v15.i4.697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Revised: 12/19/2023] [Accepted: 02/27/2024] [Indexed: 04/11/2024] Open
Abstract
BACKGROUND The importance of age on the development of ocular conditions has been reported by numerous studies. Diabetes may have different associations with different stages of ocular conditions, and the duration of diabetes may affect the development of diabetic eye disease. While there is a dose-response relationship between the age at diagnosis of diabetes and the risk of cardiovascular disease and mortality, whether the age at diagnosis of diabetes is associated with incident ocular conditions remains to be explored. It is unclear which types of diabetes are more predictive of ocular conditions. AIM To examine associations between the age of diabetes diagnosis and the incidence of cataract, glaucoma, age-related macular degeneration (AMD), and vision acuity. METHODS Our analysis was using the UK Biobank. The cohort included 8709 diabetic participants and 17418 controls for ocular condition analysis, and 6689 diabetic participants and 13378 controls for vision analysis. Ocular diseases were identified using inpatient records until January 2021. Vision acuity was assessed using a chart. RESULTS During a median follow-up of 11.0 years, 3874, 665, and 616 new cases of cataract, glaucoma, and AMD, respectively, were identified. A stronger association between diabetes and incident ocular conditions was observed where diabetes was diagnosed at a younger age. Individuals with type 2 diabetes (T2D) diagnosed at < 45 years [HR (95%CI): 2.71 (1.49-4.93)], 45-49 years [2.57 (1.17-5.65)], 50-54 years [1.85 (1.13-3.04)], or 50-59 years of age [1.53 (1.00-2.34)] had a higher risk of AMD independent of glycated haemoglobin. T2D diagnosed < 45 years [HR (95%CI): 2.18 (1.71-2.79)], 45-49 years [1.54 (1.19-2.01)], 50-54 years [1.60 (1.31-1.96)], or 55-59 years of age [1.21 (1.02-1.43)] was associated with an increased cataract risk. T2D diagnosed < 45 years of age only was associated with an increased risk of glaucoma [HR (95%CI): 1.76 (1.00-3.12)]. HRs (95%CIs) for AMD, cataract, and glaucoma associated with type 1 diabetes (T1D) were 4.12 (1.99-8.53), 2.95 (2.17-4.02), and 2.40 (1.09-5.31), respectively. In multivariable-adjusted analysis, individuals with T2D diagnosed < 45 years of age [β 95%CI: 0.025 (0.009,0.040)] had a larger increase in LogMAR. The β (95%CI) for LogMAR associated with T1D was 0.044 (0.014, 0.073). CONCLUSION The younger age at the diagnosis of diabetes is associated with a larger relative risk of incident ocular diseases and greater vision loss.
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Affiliation(s)
- Si-Ting Ye
- The Second Clinical College, Guangzhou University of Chinese Medicine, Guangzhou 510120, Guangdong Province, China
- Department of Ultrasound, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510120, Guangdong Province, China
| | - Xian-Wen Shang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Guangdong Province, China
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Guangdong Province, China
| | - Yu Huang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Guangdong Province, China
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Guangdong Province, China
| | - Susan Zhu
- Austin Hospital, University of Melbourne, Melbourne 3084, Victoria, Australia
| | - Zhuo-Ting Zhu
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Guangdong Province, China
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Guangdong Province, China
| | - Xue-Li Zhang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Guangdong Province, China
| | - Wei Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, Guangdong Province, China
| | - Shu-Lin Tang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Guangdong Province, China
| | - Zong-Yuan Ge
- Monash e-Research Center, Faculty of Engineering, Airdoc Research, Nvidia AI Technology Research Center, Monash University, Melbourne 3080, Victoria, Australia
| | - Xiao-Hong Yang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Guangdong Province, China
| | - Ming-Guang He
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Guangdong Province, China
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, Guangdong Province, China
- Department of Ophthalmic Epidemiology, Centre for Eye Research Australia, Melbourne 3002, Victoria, Australia
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3
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Xiao B, Velez Edwards DR, Lucas A, Drivas T, Gray K, Keating B, Weng C, Jarvik GP, Hakonarson H, Kottyan L, Elhadad N, Wei W, Luo Y, Kim D, Ritchie M, Verma SS. Inference of Causal Relationships Between Genetic Risk Factors for Cardiometabolic Phenotypes and Female-Specific Health Conditions. J Am Heart Assoc 2023; 12:e026561. [PMID: 36846987 PMCID: PMC10111435 DOI: 10.1161/jaha.121.026561] [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: 05/17/2022] [Accepted: 11/11/2022] [Indexed: 03/01/2023]
Abstract
Background Cardiometabolic diseases are highly comorbid, but their relationship with female-specific or overwhelmingly female-predominant health conditions (breast cancer, endometriosis, pregnancy complications) is understudied. This study aimed to estimate the cross-trait genetic overlap and influence of genetic burden of cardiometabolic traits on health conditions unique to women. Methods and Results Using electronic health record data from 71 008 ancestrally diverse women, we examined relationships between 23 obstetrical/gynecological conditions and 4 cardiometabolic phenotypes (body mass index, coronary artery disease, type 2 diabetes, and hypertension) by performing 4 analyses: (1) cross-trait genetic correlation analyses to compare genetic architecture, (2) polygenic risk score-based association tests to characterize shared genetic effects on disease risk, (3) Mendelian randomization for significant associations to assess cross-trait causal relationships, and (4) chronology analyses to visualize the timeline of events unique to groups of women with high and low genetic burden for cardiometabolic traits and highlight the disease prevalence in risk groups by age. We observed 27 significant associations between cardiometabolic polygenic scores and obstetrical/gynecological conditions (body mass index and endometrial cancer, body mass index and polycystic ovarian syndrome, type 2 diabetes and gestational diabetes, type 2 diabetes and polycystic ovarian syndrome). Mendelian randomization analysis provided additional evidence of independent causal effects. We also identified an inverse association between coronary artery disease and breast cancer. High cardiometabolic polygenic scores were associated with early development of polycystic ovarian syndrome and gestational hypertension. Conclusions We conclude that polygenic susceptibility to cardiometabolic traits is associated with elevated risk of certain female-specific health conditions.
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Affiliation(s)
- Brenda Xiao
- Graduate Program in Genomics and Computational BiologyUniversity of PennsylvaniaPhiladelphiaPA
| | - Digna R. Velez Edwards
- Division of Quantitative Sciences, Department of Obstetrics and GynecologyVanderbilt University Medical CenterNashvilleTN
| | - Anastasia Lucas
- Department of GeneticsUniversity of PennsylvaniaPhiladelphiaPA
| | - Theodore Drivas
- Department of GeneticsUniversity of PennsylvaniaPhiladelphiaPA
| | - Kathryn Gray
- Department of Obstetrics and GynecologyBrigham and Women’s HospitalBostonMA
| | - Brendan Keating
- Department of SurgeryUniversity of PennsylvaniaPhiladelphiaPA
| | - Chunhua Weng
- Department of Biomedical InformaticsColumbia UniversityNew YorkNY
| | - Gail P. Jarvik
- Departments of Medicine (Medical Genetics) and Genome SciencesUniversity of Washington Medical CenterSeattleWA
| | - Hakon Hakonarson
- Center for Applied Genomics, Children’s Hospital of PhiladelphiaPhiladelphiaPA
| | - Leah Kottyan
- Center for Autoimmune Genomics and Etiology and Division of Allergy & Immunology, Cincinnati Children’s Hospital Medical Center, Department of PediatricsUniversity of CincinnatiOH
| | - Noemie Elhadad
- Department of Biomedical InformaticsColumbia UniversityNew YorkNY
| | - Wei‐Qi Wei
- Department of Biomedical InformaticsVanderbilt University Medical CenterNashvilleTN
| | - Yuan Luo
- Department of Preventive Medicine, Feinberg School of MedicineNorthwestern UniversityEvanstonIL
| | - Dokyoon Kim
- Department of Biostatistics and EpidemiologyUniversity of PennsylvaniaPhiladelphiaPA
| | - Marylyn Ritchie
- Department of GeneticsUniversity of PennsylvaniaPhiladelphiaPA
| | - Shefali Setia Verma
- Department of Pathology and Laboratory MedicineUniversity of PennsylvaniaPhiladelphiaPA
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Yan S, Yao N, Li X, Sun M, Yang Y, Cui W, Li B. The Association between the Differential Expression of lncRNA and Type 2 Diabetes Mellitus in People with Hypertriglyceridemia. Int J Mol Sci 2023; 24:ijms24054279. [PMID: 36901708 PMCID: PMC10002095 DOI: 10.3390/ijms24054279] [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: 12/19/2022] [Revised: 02/08/2023] [Accepted: 02/20/2023] [Indexed: 02/25/2023] Open
Abstract
Compared with diabetic patients with normal blood lipid, diabetic patients with dyslipidemia such as high triglycerides have a higher risk of clinical complications, and the disease is also more serious. For the subjects with hypertriglyceridemia, the lncRNAs affecting type 2 diabetes mellitus (T2DM) and the specific mechanisms remain unclear. Transcriptome sequencing was performed on peripheral blood samples of new-onset T2DM (six subjects) and normal blood control (six subjects) in hypertriglyceridemia patients using gene chip technology, and differentially expressed lncRNA profiles were constructed. Validated by the GEO database and RT-qPCR, lncRNA ENST00000462455.1 was selected. Subsequently, fluorescence in situ hybridization (FISH), real-time quantitative polymerase chain reaction (RT-qPCR), CCK-8 assay, flow cytometry, and enzyme-linked immunosorbent assay (ELISA) were used to observe the effect of ENST00000462455.1 on MIN6. When silencing the ENST00000462455.1 for MIN6 in high glucose and high fat, the relative cell survival rate and insulin secretion decreased, the apoptosis rate increased, and the expression of the transcription factors Ins1, Pdx-1, Glut2, FoxO1, and ETS1 that maintained the function and activity of pancreatic β cells decreased (p < 0.05). In addition, we found that ENST00000462455.1/miR-204-3p/CACNA1C could be the core regulatory axis by using bioinformatics methods. Therefore, ENST00000462455.1 was a potential biomarker for hypertriglyceridemia patients with T2DM.
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Affiliation(s)
- Shoumeng Yan
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, China
- School of Nursing, Jilin University, Changchun 130021, China
| | - Nan Yao
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, China
| | - Xiaotong Li
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, China
| | - Mengzi Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, China
| | - Yixue Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, China
| | - Weiwei Cui
- Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun 130021, China
- Correspondence: (W.C.); (B.L.); Tel.: +86-431-85619455 (W.C.); +86-43185619451 (B.L.)
| | - Bo Li
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, China
- Correspondence: (W.C.); (B.L.); Tel.: +86-431-85619455 (W.C.); +86-43185619451 (B.L.)
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5
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Lu S, Wang J, Kakongoma N, Hua W, Xu J, Wang Y, He S, Gu H, Shi J, Hu W. DNA methylation and expression profiles of placenta and umbilical cord blood reveal the characteristics of gestational diabetes mellitus patients and offspring. Clin Epigenetics 2022; 14:69. [PMID: 35606885 PMCID: PMC9126248 DOI: 10.1186/s13148-022-01289-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Accepted: 05/13/2022] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) is a common pregnancy-specific disease and is growing at an alarming rate worldwide, which can negatively affect the health of pregnant women and fetuses. However, most studies are limited to one tissue, placenta or umbilical cord blood, usually with one omics assay. It is thus difficult to systematically reveal the molecular mechanism of GDM and the key influencing factors on pregnant women and offspring. RESULTS We recruited a group of 21 pregnant women with GDM and 20 controls without GDM. For each pregnant woman, reduced representation bisulfite sequencing and RNA-seq were performed using the placenta and paired neonatal umbilical cord blood specimens. Differentially methylated regions (DMRs) and differentially expressed genes (DEGs) were identified with body mass index as a covariate. Through the comparison of GDM and control samples, 2779 and 141 DMRs, 1442 and 488 DEGs were identified from placenta and umbilical cord blood, respectively. Functional enrichment analysis showed that the placenta methylation and expression profiles of GDM women mirrored the molecular characteristics of "type II diabetes" and "insulin resistance." Methylation-altered genes in umbilical cord blood were associated with pathways "type II diabetes" and "cholesterol metabolism." Remarkably, both DMRs and DEGs illustrated significant overlaps among placenta and umbilical cord blood samples. The overlapping DMRs were associated with "cholesterol metabolism." The top-ranking pathways enriched in the shared DEGs include "growth hormone synthesis, secretion and action" and "type II diabetes mellitus." CONCLUSIONS Our research demonstrated the epigenetic and transcriptomic alternations of GDM women and offspring. Our findings emphasized the importance of epigenetic modifications in the communication between pregnant women with GDM and offspring, and provided a reference for the prevention, control, treatment, and intervention of perinatal deleterious events of GDM and neonatal complications.
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Affiliation(s)
- Sha Lu
- Department of Obstetrics and Gynecology, Hangzhou Women's Hospital (Hangzhou Maternity and Child Health Care Hospital), Hangzhou, Zhejiang, People's Republic of China
- The Affiliated Hangzhou Women's Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, People's Republic of China
- Zhejiang Chinese Medical University, Hangzhou, Zhejiang, People's Republic of China
| | - Jiahao Wang
- State Key Laboratory of Molecular Biology, Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Nisile Kakongoma
- Zhejiang Chinese Medical University, Hangzhou, Zhejiang, People's Republic of China
| | - Wen Hua
- Zhejiang Chinese Medical University, Hangzhou, Zhejiang, People's Republic of China
| | - Jiahui Xu
- Zhejiang Chinese Medical University, Hangzhou, Zhejiang, People's Republic of China
| | - Yunfei Wang
- Hangzhou ShengTing Biotech Co. Ltd, Hangzhou, Zhejiang, People's Republic of China
| | - Shutao He
- State Key Laboratory of Molecular Biology, Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Hongcang Gu
- Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui, People's Republic of China
| | - Jiantao Shi
- State Key Laboratory of Molecular Biology, Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Wensheng Hu
- Department of Obstetrics and Gynecology, Hangzhou Women's Hospital (Hangzhou Maternity and Child Health Care Hospital), Hangzhou, Zhejiang, People's Republic of China.
- Zhejiang Chinese Medical University, Hangzhou, Zhejiang, People's Republic of China.
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Disatham J, Brennan L, Jiao X, Ma Z, Hejtmancik JF, Kantorow M. Changes in DNA methylation hallmark alterations in chromatin accessibility and gene expression for eye lens differentiation. Epigenetics Chromatin 2022; 15:8. [PMID: 35246225 PMCID: PMC8897925 DOI: 10.1186/s13072-022-00440-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 02/16/2022] [Indexed: 12/13/2022] Open
Abstract
Background Methylation at cytosines (mCG) is a well-known regulator of gene expression, but its requirements for cellular differentiation have yet to be fully elucidated. A well-studied cellular differentiation model system is the eye lens, consisting of a single anterior layer of epithelial cells that migrate laterally and differentiate into a core of fiber cells. Here, we explore the genome-wide relationships between mCG methylation, chromatin accessibility and gene expression during differentiation of eye lens epithelial cells into fiber cells. Results Whole genome bisulfite sequencing identified 7621 genomic loci exhibiting significant differences in mCG levels between lens epithelial and fiber cells. Changes in mCG levels were inversely correlated with the differentiation state-specific expression of 1285 genes preferentially expressed in either lens fiber or lens epithelial cells (Pearson correlation r = − 0.37, p < 1 × 10–42). mCG levels were inversely correlated with chromatin accessibility determined by assay for transposase-accessible sequencing (ATAC-seq) (Pearson correlation r = − 0.86, p < 1 × 10–300). Many of the genes exhibiting altered regions of DNA methylation, chromatin accessibility and gene expression levels in fiber cells relative to epithelial cells are associated with lens fiber cell structure, homeostasis and transparency. These include lens crystallins (CRYBA4, CRYBB1, CRYGN, CRYBB2), lens beaded filament proteins (BFSP1, BFSP2), transcription factors (HSF4, SOX2, HIF1A), and Notch signaling pathway members (NOTCH1, NOTCH2, HEY1, HES5). Analysis of regions exhibiting cell-type specific alterations in DNA methylation revealed an overrepresentation of consensus sequences of multiple transcription factors known to play key roles in lens cell differentiation including HIF1A, SOX2, and the MAF family of transcription factors. Conclusions Collectively, these results link DNA methylation with control of chromatin accessibility and gene expression changes required for eye lens differentiation. The results also point to a role for DNA methylation in the regulation of transcription factors previously identified to be important for lens cell differentiation. Supplementary Information The online version contains supplementary material available at 10.1186/s13072-022-00440-z.
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Affiliation(s)
- Joshua Disatham
- Department of Biomedical Science, Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL, USA
| | - Lisa Brennan
- Department of Biomedical Science, Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL, USA
| | - Xiaodong Jiao
- Ophthalmic Genetics and Visual Function Branch, National Eye Institute, National Institutes of Health, Bethesda, MD, USA
| | - Zhiwei Ma
- Ophthalmic Genetics and Visual Function Branch, National Eye Institute, National Institutes of Health, Bethesda, MD, USA
| | - J Fielding Hejtmancik
- Ophthalmic Genetics and Visual Function Branch, National Eye Institute, National Institutes of Health, Bethesda, MD, USA
| | - Marc Kantorow
- Department of Biomedical Science, Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL, USA.
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7
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Zhang H, Xiu X, Xue A, Yang Y, Yang Y, Zhao H. Mendelian randomization study reveals a population-specific putative causal effect of type 2 diabetes in risk of cataract. Int J Epidemiol 2022; 50:2024-2037. [PMID: 34999863 DOI: 10.1093/ije/dyab175] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Accepted: 08/03/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The epidemiological association between type 2 diabetes and cataract has been well established. However, it remains unclear whether the two diseases share a genetic basis, and if so, whether this reflects a putative causal relationship. METHODS We used East Asian population-based genome-wide association studies (GWAS) summary statistics of type 2 diabetes (Ncase = 36 614, Ncontrol = 155 150) and cataract (Ncase = 24 622, Ncontrol = 187 831) to comprehensively investigate the shared genetics between the two diseases. We performed: (i) linkage disequilibrium score regression (LDSC) and heritability estimation from summary statistics (ρ-HESS) to estimate the genetic correlation and local genetic correlation pattern between type 2 diabetes and cataract; (ii) multiple Mendelian randomization (MR) analyses to infer the putative causality between type 2 diabetes and cataract; and (iii) summary-data-based Mendelian randomization (SMR) to identify candidate risk genes underling the putative causality. Moreover, to investigate the extent of the population-specific genetic effect size underlying the shared genetics between type 2 diabetes and cataract, we applied the same analytical pipeline to perform a comparative analysis on European population-based GWAS of type 2 diabetes (Ncase = 62 892, Ncontrol = 596 424) and cataract (Ncase = 5045, Ncontrol = 356 096). RESULTS Using East Asian population-based GWAS summary data, we observed a strong genetic correlation [rg = 0.58, 95% confidence interval (CI) = 0.33, 0.83), P-value = 5.60 × 10-6] between type 2 diabetes and cataract. Both ρ-HESS and multiple MR methods consistently showed a putative causal effect of type 2 diabetes on cataract, with estimated liability-scale MR odds ratios (ORs) at around 1.10 (95% CI = 1.06, 1.17). In contrast, no evidence supports a causal effect of cataract on type 2 diabetes. SMR analysis identified two novel genes MIR4453HG (βSMR = -0.34, 95% CI = -0.46, -0.22, P-value = 6.41 × 10-8) and KCNK17 (βSMR = -0.07, 95% CI = -0.09, -0.05, P-value = 2.49 × 10-10), whose expression levels were likely involved in the putative causality of type 2 diabetes on cataract. On the contrary, our comparative analysis on European population provided universally weak evidence on the genetic correlation and causal relationship between the two diseases. CONCLUSIONS Our results provided robust evidence supporting a putative causal effect of type 2 diabetes on the risk of cataract in East Asians, and revealed potential genetic heterogeneity in the shared genetics underlying type 2 diabetes and cataract between East Asians and Europeans. These findings posed new paths on guiding the prevention and early-stage diagnosis of cataract in type 2 diabetes patients.
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Affiliation(s)
- Haoyang Zhang
- School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China
- Department of Medical Research Center, Sun Yat-sen Memorial Hospital, and Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou, China
| | - Xuehao Xiu
- Department of Medical Research Center, Sun Yat-sen Memorial Hospital, and Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou, China
| | - Angli Xue
- Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, Australia
- Garvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - Yuedong Yang
- School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China
| | - Yuanhao Yang
- Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, Australia
- Mater Research, Translational Research Institute, Brisbane, QLD, Australia
| | - Huiying Zhao
- Department of Medical Research Center, Sun Yat-sen Memorial Hospital, and Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou, China
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8
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Gao C, Liu X, Fan F, Yang JN, Zhou XY, Mei HJ, Lin XL, Luo Y. Exosomal miR-29b found in aqueous humour mediates calcium signaling in diabetic patients with cataract. Int J Ophthalmol 2021; 14:1484-1491. [PMID: 34667723 DOI: 10.18240/ijo.2021.10.03] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 03/21/2021] [Indexed: 12/27/2022] Open
Abstract
AIM To investigate the role of exosomal miR-29b and Ca2+ in regulating the function of human lens epithelial cells (HLECs). METHODS Exosomes were isolated from human aqueous humour (AH) by ultracentrifugation, and visualized by nanoparticle tracking and transmission electron microscopy. Exosomal miRNA sequencing was performed to identify differentially expressed miRNAs between diabetes with cataracts (DMC) group and age-related cataracts (ARC) group. TargetScan was used to predict potential target of certain miRNA. The expression of CACNA1C mRNA was determined by quantitative real-time polymerase chain reaction and CACNA1C protein was determined by Western blotting. Concentration of Ca2+ in human AH and the culture supernatant of cells were detected by the calcium assay kit. Cell counting kit-8 was used to determine cell viability. RESULTS Exosomes were isolated from human AH, which had a typical cup-shaped phenotype and a particle size distribution in accordance with micro extracellular vesicles. Exosomal miRNA sequencing revealed that miR-29b was significantly downregulated in DMC group compared with ARC. Ca2+ concentration of human AH in DMC was higher than that in ARC. The culture supernatant of cells transfected with miR-29b inhibitors had a higher concentration of Ca2+ than that transfected with miR-29b mimics. miR-29b reduced the viability of HLECs by upregulating CACNA1C expression. CONCLUSION Exosomes isolated from human AH contains abundant miRNAs. A significantly expressed miRNA, miR-29b, can affect the concentration of Ca2+ and regulate HLEC processes by upregulating CACNA1C.
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Affiliation(s)
- Chao Gao
- First Affiliated Hospital, School of Medicine, Shihezi University, Shihezi 832000, Xinjiang Uygur Autonomous Region, China.,Eye Institute, Eye and ENT Hospital, College of Medicine, Fudan University, Shanghai 200031, China
| | - Xin Liu
- Eye Institute, Eye and ENT Hospital, College of Medicine, Fudan University, Shanghai 200031, China.,State Key Laboratory of Medical Neurobiology, Institutes of Brain Science and Collaborative Innovation Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai 200031, China.,Shanghai Key Laboratory of Visual Impairment and Restoration, Science and Technology Commission of Shanghai Municipality, Shanghai 200031, China.,Key Laboratory of Myopia (Fudan University), Chinese Academy of Medical Sciences, National Health Commission, Shanghai 200031, China
| | - Fan Fan
- Eye Institute, Eye and ENT Hospital, College of Medicine, Fudan University, Shanghai 200031, China.,State Key Laboratory of Medical Neurobiology, Institutes of Brain Science and Collaborative Innovation Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai 200031, China.,Shanghai Key Laboratory of Visual Impairment and Restoration, Science and Technology Commission of Shanghai Municipality, Shanghai 200031, China.,Key Laboratory of Myopia (Fudan University), Chinese Academy of Medical Sciences, National Health Commission, Shanghai 200031, China
| | - Jia-Ning Yang
- Eye Institute, Eye and ENT Hospital, College of Medicine, Fudan University, Shanghai 200031, China.,State Key Laboratory of Medical Neurobiology, Institutes of Brain Science and Collaborative Innovation Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai 200031, China.,Shanghai Key Laboratory of Visual Impairment and Restoration, Science and Technology Commission of Shanghai Municipality, Shanghai 200031, China.,Key Laboratory of Myopia (Fudan University), Chinese Academy of Medical Sciences, National Health Commission, Shanghai 200031, China
| | - Xi-Yue Zhou
- Eye Institute, Eye and ENT Hospital, College of Medicine, Fudan University, Shanghai 200031, China.,State Key Laboratory of Medical Neurobiology, Institutes of Brain Science and Collaborative Innovation Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai 200031, China.,Shanghai Key Laboratory of Visual Impairment and Restoration, Science and Technology Commission of Shanghai Municipality, Shanghai 200031, China.,Key Laboratory of Myopia (Fudan University), Chinese Academy of Medical Sciences, National Health Commission, Shanghai 200031, China
| | - Heng-Jun Mei
- Eye Institute, Eye and ENT Hospital, College of Medicine, Fudan University, Shanghai 200031, China.,State Key Laboratory of Medical Neurobiology, Institutes of Brain Science and Collaborative Innovation Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai 200031, China.,Shanghai Key Laboratory of Visual Impairment and Restoration, Science and Technology Commission of Shanghai Municipality, Shanghai 200031, China.,Key Laboratory of Myopia (Fudan University), Chinese Academy of Medical Sciences, National Health Commission, Shanghai 200031, China
| | - Xiao-Lei Lin
- Eye Institute, Eye and ENT Hospital, College of Medicine, Fudan University, Shanghai 200031, China.,State Key Laboratory of Medical Neurobiology, Institutes of Brain Science and Collaborative Innovation Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai 200031, China.,Shanghai Key Laboratory of Visual Impairment and Restoration, Science and Technology Commission of Shanghai Municipality, Shanghai 200031, China.,Key Laboratory of Myopia (Fudan University), Chinese Academy of Medical Sciences, National Health Commission, Shanghai 200031, China
| | - Yi Luo
- Eye Institute, Eye and ENT Hospital, College of Medicine, Fudan University, Shanghai 200031, China.,State Key Laboratory of Medical Neurobiology, Institutes of Brain Science and Collaborative Innovation Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai 200031, China.,Shanghai Key Laboratory of Visual Impairment and Restoration, Science and Technology Commission of Shanghai Municipality, Shanghai 200031, China.,Key Laboratory of Myopia (Fudan University), Chinese Academy of Medical Sciences, National Health Commission, Shanghai 200031, China
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9
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Common variants in SOX-2 and congenital cataract genes contribute to age-related nuclear cataract. Commun Biol 2020; 3:755. [PMID: 33311586 PMCID: PMC7733496 DOI: 10.1038/s42003-020-01421-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Accepted: 10/01/2020] [Indexed: 11/10/2022] Open
Abstract
Nuclear cataract is the most common type of age-related cataract and a leading cause of blindness worldwide. Age-related nuclear cataract is heritable (h2 = 0.48), but little is known about specific genetic factors underlying this condition. Here we report findings from the largest to date multi-ethnic meta-analysis of genome-wide association studies (discovery cohort N = 14,151 and replication N = 5299) of the International Cataract Genetics Consortium. We confirmed the known genetic association of CRYAA (rs7278468, P = 2.8 × 10−16) with nuclear cataract and identified five new loci associated with this disease: SOX2-OT (rs9842371, P = 1.7 × 10−19), TMPRSS5 (rs4936279, P = 2.5 × 10−10), LINC01412 (rs16823886, P = 1.3 × 10−9), GLTSCR1 (rs1005911, P = 9.8 × 10−9), and COMMD1 (rs62149908, P = 1.2 × 10−8). The results suggest a strong link of age-related nuclear cataract with congenital cataract and eye development genes, and the importance of common genetic variants in maintaining crystalline lens integrity in the aging eye. Here, the authors report a multi-ethnic genome wide association meta-analysis of 12 studies from the International Cataract Genetics Consortium. They find six new loci associated with age-related nuclear cataract, in addition to replicating the association at CRYAA, and suggest a strong genetic link between age-related nuclear and congenital cataracts.
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10
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Lan D, Jiang HY, Su X, Zhao Y, Du S, Li Y, Bi R, Zhang DF, Yang Q. Transcriptome-wide Association Study Identifies Genetically Dysregulated Genes in Diabetic Neuropathy. Comb Chem High Throughput Screen 2020; 24:319-325. [PMID: 32772906 DOI: 10.2174/1386207323666200808173745] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Revised: 06/03/2020] [Accepted: 07/14/2020] [Indexed: 11/22/2022]
Abstract
BACKGROUND Complications are the main cause of the disease burden of diabetes. Genes determining the development and progression of diabetic complications remain to be identified. Diabetic neuropathy is the most common and debilitating complication and mainly affects the nerves of legs and feet. In this study, we attempted to identify diabetic neuropathy-specific genes from reliable large-scale genome-wide association studies (GWASs) for diabetes perse. METHODS Taking advantage of publicly available data, we initially converted the GWAS signals to transcriptomic profiles in the tibial nerve using the functional summary-based imputation (FUSION) algorithm. The FUSION-derived genes were then checked to determine whether they were differentially expressed in the sciatic nerve of mouse models of diabetic neuropathy. The dysregulated genes identified in the sciatic nerve were explored in the blood of patients with diabetes. RESULTS We found that eleven out of 452 FUSION-derived genes were regulated by diabetes GWAS loci and were altered in the sciatic nerve of mouse models with early-stage neuropathy. Among the eleven genes, significant (P-value<0.05) expression alterations of HSD17B4, DHX32, MERTK, and SFXN4 could be detected in the blood of human patients. CONCLUSIONS Our analyses identified genes with an effect in the sciatic nerve and provided the possibility of noninvasive early detection of diabetic neuropathy.
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Affiliation(s)
- Danfeng Lan
- Department of Geriatrics, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Hong-Yan Jiang
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Xiaoyang Su
- Department of Geriatrics, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Yan Zhao
- Department of Geriatrics, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Sicheng Du
- Department of Geriatrics, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Ying Li
- Department of Geriatrics, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Rui Bi
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming650223, China
| | - Deng-Feng Zhang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming650223, China
| | - Qiuping Yang
- Department of Geriatrics, The First Affiliated Hospital of Kunming Medical University, Kunming, China
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11
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Gan Q, Wang J, Hu J, Lou G, Xiong H, Peng C, Zheng S, Huang Q. The role of diosgenin in diabetes and diabetic complications. J Steroid Biochem Mol Biol 2020; 198:105575. [PMID: 31899316 DOI: 10.1016/j.jsbmb.2019.105575] [Citation(s) in RCA: 56] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Revised: 12/10/2019] [Accepted: 12/25/2019] [Indexed: 01/23/2023]
Abstract
Diabetes mellitus is a chronic and common metabolic disease that seriously endangers human health. Hyperglycemia and long-term metabolic disorders in diabetes will cause damage to the whole body tissues and organs, resulting in serious complications. Nowadays, drugs for treating diabetes on the market has strong side effects, new treatments thus are urgently needed. Natural therapy of natural ingredients is a promising avenue, this is because natural ingredients are safer and they also show strong activity in the treatment of diabetes. Diosgenin is such a very biologically active natural steroidal sapogenin. The research of diosgenin in the treatment of diabetes and its complications has been widely reported. This article reviews the effects of diosgenin through multiple targets and multiple pathways in diabetes and its complications which including diabetic nephropathy, diabetic liver disease, diabetic neuropathy, diabetic vascular disease, diabetic cardiomyopathy, diabetic reproductive dysfunction, and diabetic eye disease.
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Affiliation(s)
- Qingxia Gan
- College of Pharmacy, Chengdu University of Traditional Chinese Medicine, No.1166, Liutai Road, Wenjiang District, Chengdu, 611137, China.
| | - Jin Wang
- College of Pharmacy, Chengdu University of Traditional Chinese Medicine, No.1166, Liutai Road, Wenjiang District, Chengdu, 611137, China.
| | - Ju Hu
- College of Pharmacy, Chengdu University of Traditional Chinese Medicine, No.1166, Liutai Road, Wenjiang District, Chengdu, 611137, China.
| | - Guanhua Lou
- College of Pharmacy, Chengdu University of Traditional Chinese Medicine, No.1166, Liutai Road, Wenjiang District, Chengdu, 611137, China.
| | - Haijun Xiong
- College of Pharmacy, Chengdu University of Traditional Chinese Medicine, No.1166, Liutai Road, Wenjiang District, Chengdu, 611137, China.
| | - Chengyi Peng
- College of Pharmacy, Chengdu University of Traditional Chinese Medicine, No.1166, Liutai Road, Wenjiang District, Chengdu, 611137, China.
| | - Song Zheng
- Sichuan Kaimei Chinese Medicine Co., Ltd, No.155, Section 1, Fuxing Road, Longmatan District, Luzhou, 646000, China.
| | - Qinwan Huang
- College of Pharmacy, Chengdu University of Traditional Chinese Medicine, No.1166, Liutai Road, Wenjiang District, Chengdu, 611137, China; State Key Laboratory of Traditional Chinese Medicine Processing Technology, State Administration of Traditional Chinese Medicine, No.1166, Liutai Road, Wenjiang District, Chengdu, 611137, China.
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12
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Bi X, Feng L, Wang S, Lin Z, Li T, Zhao B, Zhu H, Zhang H. Common genetic variants have associations with human cortical brain regions and risk of schizophrenia. Genet Epidemiol 2019; 43:548-558. [PMID: 30941828 DOI: 10.1002/gepi.22203] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2018] [Revised: 01/15/2019] [Accepted: 03/05/2019] [Indexed: 12/13/2022]
Abstract
Schizophrenia is a highly heritable mental disorder and is reported to be associated with measurements in cortical regions of the human brain. In this study, we considered genome-wide association studies to uncover genetic effects on cortical regions and prodromal symptoms of schizophrenia. Specifically, area, thickness, and volume of 66 cortical regions derived from magnetic resonance imaging scans of 1,445 children and adolescents from the Philadelphia Neurodevelopmental Cohort were studied. Two common variants were identified as being associated with two prefrontal cortical regions (one significant variant rs11601331 on chromosome 11p11 for right rostral middle frontal gyral area, p = 1.97 × 10 -8 ; one suggestive variant rs2345981 on chromosome 6q11 for left frontal pole gyral volume, p = 2.07 × 10 -7 ), where the significance of rs11601331 was independently replicated on the Pediatric Imaging, Neurocognition, and Genetics study of size 1,239 (p = 9.19 × 10 -3 ). Moreover, genetic effects on schizophrenia were investigated based on a sample of 8,719 subjects. The two identified variants rs11601331 and rs2345981 showed significant association with the longest prodromal symptoms duration (p = 0.048 and p = 0.027, respectively).
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Affiliation(s)
- Xuan Bi
- Information and Decision Sciences, Carlson School of Management, University of Minnesota, Minneapolis, Minnesota
| | - Long Feng
- Department of Biostatistics, Yale University, New Haven, Connecticut
| | - Shiying Wang
- Department of Biostatistics, Yale University, New Haven, Connecticut
| | - Zijie Lin
- Department of Statistics, University of Virginia, Charlottesville, Virginia
| | - Tengfei Li
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Bingxin Zhao
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Hongtu Zhu
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Heping Zhang
- Department of Biostatistics, Yale University, New Haven, Connecticut
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13
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Yao Y, Wang H, Zhu B, Hu J, Huang J, Zhu W, Miao W, Tang J. Aqueous humor metabolomic profiles in association with diabetic mellitus. INTERNATIONAL JOURNAL OF CLINICAL AND EXPERIMENTAL PATHOLOGY 2018; 11:3479-3486. [PMID: 31949726 PMCID: PMC6962866] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 04/25/2018] [Accepted: 05/27/2018] [Indexed: 06/10/2023]
Abstract
Diabetic mellitus (DM), commonly referred to diabetes, is a worldwide metabolic disorder, which usually causes high morbidity and mortality rates. Especially, DM may result in serious macrovascular problems including cataract. To investigate the underlying molecular mechanism, here we for the first time employed gas chromatography-time-of-flight mass spectrometry (GC-TOF MS) for an untargeted metabolomics study. Totally 263 metabolites were determined in aqueous humor (AH) samples from 30 patients: 15 for the controls and 15 with DM. Both the heat map and principal component analysis (PCA) plot showed a significantly distinct metabolomics profiles between patients with DM and the controls. Moreover, 20 metabolites were determined to be significantly altered (P ≤ 0.05) in DM patients, some of which were associated with oxidative stress. Metabolic pathway analysis of these significantly different metabolites identified ten most relevant pathways in the group of DM patients when compared with the control group. Among them, three pathways including fatty acid biosynthesis, fatty acid metabolism, and linoleic acid metabolism were the three most significantly influenced pathways (P ≤ 0.05), which probably play key roles in the formation of DM and its complication, cataracts. Altogether, this work not only indicated a distinct AH metabolomic profile in association with DM, but presented novel insights into the molecular mechanisms of DM formation, as well as formation of cataracts.
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Affiliation(s)
- Yuerong Yao
- Department of Ophthalmology, Baoshan District Traditional Chinese and Western Medicine HospitalShanghai, P. R. China
| | - Hanmin Wang
- Department of Ophthalmology, Putuo Hospital, Shanghai University of Traditional Chinese MedicalShanghai, China
| | - Beijing Zhu
- Department of Ophthalmology, Baoshan District Traditional Chinese and Western Medicine HospitalShanghai, P. R. China
| | - Jun Hu
- Department of Ophthalmology, Baoshan District Traditional Chinese and Western Medicine HospitalShanghai, P. R. China
| | - Jie Huang
- Department of Ophthalmology, Baoshan District Traditional Chinese and Western Medicine HospitalShanghai, P. R. China
| | - Weimin Zhu
- Department of Ophthalmology, Eastern District of Shuguang HospitalShanghai, China
| | - Wanhong Miao
- Department of Ophthalmology, Eastern District of Shuguang HospitalShanghai, China
| | - Jianming Tang
- Department of Ophthalmology, Baoshan District Traditional Chinese and Western Medicine HospitalShanghai, P. R. China
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