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Khan M, Shah S, Lv B, Lv Z, Ji N, Song Z, Wu P, Wang X, Mehmood A. Molecular Mechanisms of Alu and LINE-1 Interspersed Repetitive Sequences Reveal Diseases of Visual System Dysfunction. Ocul Immunol Inflamm 2023; 31:1848-1858. [PMID: 36040959 DOI: 10.1080/09273948.2022.2112238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Accepted: 08/05/2022] [Indexed: 10/14/2022]
Abstract
BACKGROUND Short interspersed nuclear elements (SINEs) and long interspersed nuclear elements (LINE-1s) are the abundant and well-characterized repetitive elements in the human genome. METHODS For this review, all relevant original research studies were assessed by searching electronic databases, including PubMed, Google Scholar, and Web of Science, by using relevant keywords. Accumulating evidence indicates that the disorder of gene expression regulated by these repetitive sequences is one of the causes of the diseases of visual system dysfunction, including retinal degenerations, glaucoma, retinitis punctata albescens, retinitis pigmentosa, geographic atrophy, and age-related macular degeneration, suggesting that SINEs and LINE-1s may have great potential implications in ophthalmology. RESULTS Alu elements belonging to the SINEs are present in more than one million copies, comprising 10% of the human genome. CONCLUSION This study offers recent advances in Alu and LINE-1 mechanisms in the development of eye diseases. The current study could advance our knowledge of the roles of SINEs and LINE-1s in the developing process of eye diseases, suggesting new diagnostic biomarkers, therapeutic strategies, and significant points for future studies.
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Affiliation(s)
- Murad Khan
- Department of Genetics, Hebei Medical University, Hebei Key Lab of Laboratory Animal, Shijiazhuang, Hebei Province, China
| | - Suleman Shah
- Department of Genetics, Hebei Medical University, Hebei Key Lab of Laboratory Animal, Shijiazhuang, Hebei Province, China
| | - Baixue Lv
- Department of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, Hubei Province, China
| | - Zhanjun Lv
- Department of Genetics, Hebei Medical University, Hebei Key Lab of Laboratory Animal, Shijiazhuang, Hebei Province, China
| | - Ning Ji
- Department of Genetics, Hebei Medical University, Hebei Key Lab of Laboratory Animal, Shijiazhuang, Hebei Province, China
| | - Zhixue Song
- Department of Genetics, Hebei Medical University, Hebei Key Lab of Laboratory Animal, Shijiazhuang, Hebei Province, China
| | - Peiyuan Wu
- Department of Genetics, Hebei Medical University, Hebei Key Lab of Laboratory Animal, Shijiazhuang, Hebei Province, China
| | - Xiufang Wang
- Department of Genetics, Hebei Medical University, Hebei Key Lab of Laboratory Animal, Shijiazhuang, Hebei Province, China
| | - Arshad Mehmood
- Department of Neurology, the Second Hospital of Hebei Medical University, City Shijiazhuang, P.R. China
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Zhong P, Tan S, Zhu Z, Bulloch G, Long E, Huang W, He M, Wang W. Metabolomic phenotyping of obesity for profiling cardiovascular and ocular diseases. J Transl Med 2023; 21:384. [PMID: 37308902 DOI: 10.1186/s12967-023-04244-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 06/02/2023] [Indexed: 06/14/2023] Open
Abstract
BACKGROUND We aimed to evaluate the impacts of metabolomic body mass index (metBMI) phenotypes on the risks of cardiovascular and ocular diseases outcomes. METHODS This study included cohorts in UK and Guangzhou, China. By leveraging the serum metabolome and BMI data from UK Biobank, this study developed and validated a metBMI prediction model using a ridge regression model among 89,830 participants based on 249 metabolites. Five obesity phenotypes were obtained by metBMI and actual BMI (actBMI): normal weight (NW, metBMI of 18.5-24.9 kg/m2), overweight (OW, metBMI of 25-29.9 kg/m2), obesity (OB, metBMI ≥ 30 kg/m2), overestimated (OE, metBMI-actBMI > 5 kg/m2), and underestimated (UE, metBMI-actBMI < - 5 kg/m2). Additional participants from the Guangzhou Diabetes Eye Study (GDES) were included for validating the hypothesis. Outcomes included all-cause and cardiovascular (CVD)-cause mortality, as well as incident CVD (coronary heart disease, heart failure, myocardial infarction [MI], and stroke) and age-related eye diseases (age-related macular degeneration [AMD], cataracts, glaucoma, and diabetic retinopathy [DR]). RESULTS In the UKB, although OE group had lower actBMI than NW group, the OE group had a significantly higher risk of all-cause mortality than those in NW prediction group (HR, 1.68; 95% CI 1.16-2.43). Similarly, the OE group had a 1.7-3.6-fold higher risk than their NW counterparts for cardiovascular mortality, heart failure, myocardial infarction, and coronary heart disease (all P < 0.05). In addition, risk of age-related macular denegation (HR, 1.96; 95% CI 1.02-3.77) was significantly higher in OE group. In the contrast, UE and OB groups showed similar risks of mortality and of cardiovascular and age-related eye diseases (all P > 0.05), though the UE group had significantly higher actBMI than OB group. In the GDES cohort, we further confirmed the potential of metabolic BMI (metBMI) fingerprints for risk stratification of cardiovascular diseases using a different metabolomic approach. CONCLUSIONS Gaps of metBMI and actBMI identified novel metabolic subtypes, which exhibit distinctive cardiovascular and ocular risk profiles. The groups carrying obesity-related metabolites were at higher risk of mortality and morbidity than those with normal health metabolites. Metabolomics allowed for leveraging the future of diagnosis and management of 'healthily obese' and 'unhealthily lean' individuals.
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Affiliation(s)
- Pingting Zhong
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Shaoying Tan
- School of Optometry, The Hong Kong Polytechnic University, Hong Kong, China
- Research Centre for SHARP Vision, The Hong Kong Polytechnic University, Hong Kong, China
- Centre for Eye and Vision Research (CEVR), 17W Hong Kong Science Park, Hong Kong, China
| | - Zhuoting Zhu
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, University of Melbourne, Level 7, 32 Gisborne Street, Melbourne, VIC, 3002, Australia
| | - Gabriella Bulloch
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, University of Melbourne, Level 7, 32 Gisborne Street, Melbourne, VIC, 3002, Australia
| | - Erping Long
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Wenyong Huang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Mingguang He
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
- School of Optometry, The Hong Kong Polytechnic University, Hong Kong, China.
- Research Centre for SHARP Vision, The Hong Kong Polytechnic University, Hong Kong, China.
- Centre for Eye and Vision Research (CEVR), 17W Hong Kong Science Park, Hong Kong, China.
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, University of Melbourne, Level 7, 32 Gisborne Street, Melbourne, VIC, 3002, Australia.
| | - Wei Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
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Yaldo LM, Dallo FJ, Ruterbusch J, Schwartz K, Jamil HJ. The Burden of and Factors Associated with Age-Related Eye Diseases in Arab American Adults. J Immigr Minor Health 2021; 24:1095-1102. [PMID: 34559345 DOI: 10.1007/s10903-021-01279-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/16/2021] [Indexed: 11/24/2022]
Abstract
To estimate the age- and sex-adjusted proportions of cataract, diabetic retinopathy, glaucoma, and macular degeneration among the Arab American community, a notably understudied minority that is aggregated under whites. The Arab American Eye Study is a multicenter retrospective chart review involving 10 years of electronic medical records (1/1/2010 through 1/1/2020). The study sample included 1390 Arab Americans and 4950 whites 45 years of age and older, totaling 6340 subjects. Arab Americans were identified using an Arab American name algorithm. Subjects with race variables other than white or Arab American or those under age 45 were excluded from the study. Age- and sex-adjusted proportions of cataract, diabetic retinopathy, glaucoma, and macular degeneration were determined. Odds ratios with 95% confidence intervals were used to examine the association between race/ethnicity and eye diseases. Of the 6340 participants (4950 whites and 1390 Arab Americans), males comprised 46.3% and the median age group was 55-64 years. Arab Americans displayed higher age- and sex-adjusted proportions of cataracts (45.4% versus 40.7%), dry age-related macular degeneration (10% versus 8.9%), glaucoma (8% vs 6%), and diabetic retinopathy (11.7% versus 4.2%). Fully adjusted logistic regression revealed that Arab Americans were 19% more likely to have cataracts (OR 1.19; 95% CI 1.05, 1.35) and 272% more likely to have diabetic retinopathy (OR 2.72; 95% CI 2.17; 3.41). Results from the Arab American Eye Study suggest that the burden of cataract and diabetic retinopathy is significantly higher among Arab Americans in comparison to whites.
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Affiliation(s)
- Luke M Yaldo
- School of Health Sciences, Oakland University, 3114 Human Health Building, Rochester, MI, 48309, USA.
| | - Florence J Dallo
- School of Health Sciences, Oakland University, 3114 Human Health Building, Rochester, MI, 48309, USA
| | - Julie Ruterbusch
- Department of Oncology, Wayne State University, Detroit, MI, USA
| | - Kendra Schwartz
- Department of Family Medicine and Public Health Sciences, Wayne State University, Detroit, MI, USA
| | - Hikmet J Jamil
- Department of Family Medicine, Michigan State University, Michigan, USA
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