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Kim HM, Joo K, Kim M, Park YJ, Han JW, Kim KW, Lee S, Woo SJ. Genome-wide association study of subfoveal choroidal thickness in a longitudinal cohort of older adults. Sci Rep 2024; 14:23545. [PMID: 39384883 PMCID: PMC11464807 DOI: 10.1038/s41598-024-73094-4] [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: 03/20/2024] [Accepted: 09/13/2024] [Indexed: 10/11/2024] Open
Abstract
To identify genetic influences on subfoveal choroidal thickness of older adults using a genome-wide association study (GWAS). We recruited 300 participants from the population-based Korean Longitudinal Study on Health and Aging (KLoSHA) and Korean Longitudinal Study on Cognitive Aging and Dementia (KLOSCAD) cohort studies and 500 participants from the Bundang age-related macular degeneration (AMD) cohort study dataset. We conducted a GWAS on older adult populations in the KLoSHA and KLOSCAD cohorts. Single nucleotide polymorphisms (SNPs) associated with choroidal thickness were identified with P values < 1.0 × 10-4 in both the right and left eyes, followed by validation using the Bundang AMD cohort dataset. This association was further confirmed by a functional in vitro study using human umbilical vein endothelial cells (HUVECs). The ages of the cohort participants in the discovery and validation datasets were 73.5 ± 3.3 and 71.3 ± 7.9 years, respectively. In the discovery dataset, three SNPs (rs1916762, rs7587019, and rs13320098) were significantly associated with choroidal thickness in both eyes. This association was confirmed for rs1916762 (genotypes GG, GA, and AA) and rs7587019 (genotypes GG, GA, and AA), but not for rs13320098. The mean choroidal thickness decreased by 56.7 μm (AA, 73.8%) and 31.1 μm (GA, 85.6%) compared with that of the GG genotype of rs1916762, and by 55.4 μm (AA, 74.2%) and 28.2 μm (GA, 86.7%) compared with that of the GG genotype of rs7587019. The SNPs rs1916762 and rs7587019 were located close to the FAM124B gene near its cis-regulatory region. Moreover, FAM124B was highly expressed in vascular endothelial cells. In vitro HUVEC experiments showed that the inhibition of FAM124B was associated with decreased vascular endothelial proliferation, suggesting a potential mechanism of choroidal thinning. FAM124B was identified as a susceptibility gene affecting subfoveal choroidal thickness in older adults. This gene may be involved in mechanisms underlying retinal diseases associated with altered choroidal thickness, such as age-related macular degeneration.
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Affiliation(s)
- Hyeong Min Kim
- Department of Ophthalmology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, 173-82 Gumi-ro, Bundang-gu, Seongnam-si, 13620, Gyeonggi-do, Republic of Korea
- Department of Ophthalmology, Konkuk University School of Medicine, Seoul, Republic of Korea
| | - Kwangsic Joo
- Department of Ophthalmology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, 173-82 Gumi-ro, Bundang-gu, Seongnam-si, 13620, Gyeonggi-do, Republic of Korea
| | - Minji Kim
- Department of Ophthalmology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, 173-82 Gumi-ro, Bundang-gu, Seongnam-si, 13620, Gyeonggi-do, Republic of Korea
| | - Young Joo Park
- Department of Ophthalmology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, 173-82 Gumi-ro, Bundang-gu, Seongnam-si, 13620, Gyeonggi-do, Republic of Korea
| | - Ji Won Han
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Ki Woong Kim
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
- Department of Psychiatry and Behavioral Science, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Brain and Cognitive Science, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
| | - Sejoon Lee
- Precision Medicine Center, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Se Joon Woo
- Department of Ophthalmology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, 173-82 Gumi-ro, Bundang-gu, Seongnam-si, 13620, Gyeonggi-do, Republic of Korea.
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Honda S, Misawa N, Sato Y, Oikawa D, Tokunaga F. The hypothetical molecular mechanism of the ethnic variations in the manifestation of age-related macular degeneration; focuses on the functions of the most significant susceptibility genes. Graefes Arch Clin Exp Ophthalmol 2024; 262:2799-2811. [PMID: 38507046 DOI: 10.1007/s00417-024-06442-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2023] [Revised: 02/27/2024] [Accepted: 03/08/2024] [Indexed: 03/22/2024] Open
Abstract
Age-related macular degeneration (AMD) is the leading sight-threatening disease in developed countries. On the other hand, recent studies indicated an ethnic variation in the phenotype of AMD. For example, several reports demonstrated that the incidence of drusen in AMD patients is less in Asians compared to Caucasians though the reason has not been clarified yet. In the last decades, several genome association studies have disclosed many susceptible genes of AMD and revealed that the association strength of some genes was different among races and AMD phenotypes. In this review article, the essential findings of the clinical studies and genome association studies for the most significant genes CFH and ARMS2/HTRA1 in AMD of different races are summarized, and theoretical hypotheses about the molecular mechanisms underlying the ethnic variation in the AMD manifestation mainly focused on those genes between Caucasians and Asians are discussed.
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Affiliation(s)
- Shigeru Honda
- Department of Ophthalmology and Visual Sciences, Osaka Metropolitan University Graduate School of Medicine, 1-4-3 Asahi-Machi, Abeno-Ku, Osaka, Japan.
| | - Norihiko Misawa
- Department of Ophthalmology and Visual Sciences, Osaka Metropolitan University Graduate School of Medicine, 1-4-3 Asahi-Machi, Abeno-Ku, Osaka, Japan
| | - Yusuke Sato
- Center for Research On Green Sustainable Chemistry, Graduate School of Engineering, Tottori University, Tottori, Japan
- Department of Chemistry and Biotechnology, Graduate School of Engineering, Tottori University, Tottori, Japan
| | - Daisuke Oikawa
- Department of Medical Biochemistry, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan
| | - Fuminori Tokunaga
- Department of Medical Biochemistry, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan
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3
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Feenstra HMA, van Dijk EHC, Cheung CMG, Ohno-Matsui K, Lai TYY, Koizumi H, Larsen M, Querques G, Downes SM, Yzer S, Breazzano MP, Subhi Y, Tadayoni R, Priglinger SG, Pauleikhoff LJB, Lange CAK, Loewenstein A, Diederen RMH, Schlingemann RO, Hoyng CB, Chhablani JK, Holz FG, Sivaprasad S, Lotery AJ, Yannuzzi LA, Freund KB, Boon CJF. Central serous chorioretinopathy: An evidence-based treatment guideline. Prog Retin Eye Res 2024; 101:101236. [PMID: 38301969 DOI: 10.1016/j.preteyeres.2024.101236] [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: 09/12/2023] [Revised: 12/30/2023] [Accepted: 01/02/2024] [Indexed: 02/03/2024]
Abstract
Central serous chorioretinopathy (CSC) is a relatively common disease that causes vision loss due to macular subretinal fluid leakage and it is often associated with reduced vision-related quality of life. In CSC, the leakage of subretinal fluid through defects in the retinal pigment epithelial layer's outer blood-retina barrier appears to occur secondary to choroidal abnormalities and dysfunction. The treatment of CSC is currently the subject of controversy, although recent data obtained from several large randomized controlled trials provide a wealth of new information that can be used to establish a treatment algorithm. Here, we provide a comprehensive overview of our current understanding regarding the pathogenesis of CSC, current therapeutic strategies, and an evidence-based treatment guideline for CSC. In acute CSC, treatment can often be deferred for up to 3-4 months after diagnosis; however, early treatment with either half-dose or half-fluence photodynamic therapy (PDT) with the photosensitive dye verteporfin may be beneficial in selected cases. In chronic CSC, half-dose or half-fluence PDT, which targets the abnormal choroid, should be considered the preferred treatment. If PDT is unavailable, chronic CSC with focal, non-central leakage on angiography may be treated using conventional laser photocoagulation. CSC with concurrent macular neovascularization should be treated with half-dose/half-fluence PDT and/or intravitreal injections of an anti-vascular endothelial growth factor compound. Given the current shortage of verteporfin and the paucity of evidence supporting the efficacy of other treatment options, future studies-ideally, well-designed randomized controlled trials-are needed in order to evaluate new treatment options for CSC.
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Affiliation(s)
- Helena M A Feenstra
- Department of Ophthalmology, Leiden University Medical Center, Leiden, the Netherlands
| | - Elon H C van Dijk
- Department of Ophthalmology, Leiden University Medical Center, Leiden, the Netherlands
| | - Chui Ming Gemmy Cheung
- Singapore Eye Research Institution, Singapore National Eye Centre, Singapore; Duke-NUS Medical School, National University of Singapore, Singapore
| | - Kyoko Ohno-Matsui
- Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, Tokyo, Japan
| | - Timothy Y Y Lai
- Department of Ophthalmology & Visual Sciences, The Chinese University of Hong Kong, Hong Kong Eye Hospital, Kowloon, Hong Kong
| | - Hideki Koizumi
- Department of Ophthalmology, Graduate School of Medicine, University of the Ryukyus, Nishihara, Japan
| | - Michael Larsen
- Department of Ophthalmology, Rigshospitalet, Glostrup, Denmark; Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Giuseppe Querques
- Department of Ophthalmology, University Vita-Salute, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Susan M Downes
- Oxford Eye Hospital, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK; Nuffield Laboratory of Ophthalmology, Nuffield Department of Clinical Neuroscience, University of Oxford, Oxford, UK
| | - Suzanne Yzer
- Department of Ophthalmology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Mark P Breazzano
- Retina-Vitreous Surgeons of Central New York, Liverpool, NY, USA; Department of Ophthalmology & Visual Sciences, State University of New York Upstate Medical University, Syracuse, NY, USA
| | - Yousif Subhi
- Department of Ophthalmology, Rigshospitalet, Copenhagen, Denmark; Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Ramin Tadayoni
- Ophthalmology Department, AP-HP, Hôpital Lariboisière, Université de Paris, Paris, France
| | - Siegfried G Priglinger
- Department of Ophthalmology, Hospital of the Ludwig-Maximilians-University, Munich, Germany
| | - Laurenz J B Pauleikhoff
- Department of Ophthalmology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands; Eye Center, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany
| | - Clemens A K Lange
- Department of Ophthalmology, St. Franziskus Hospital, Muenster, Germany
| | - Anat Loewenstein
- Division of Ophthalmology, Tel Aviv Medical Center, Tel Aviv University, Tel Aviv, Israel
| | - Roselie M H Diederen
- Department of Ophthalmology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
| | - Reinier O Schlingemann
- Department of Ophthalmology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands; Ocular Angiogenesis Group, Amsterdam University Medical Centers, Location AMC, University of Amsterdam, Amsterdam, the Netherlands; Department of Ophthalmology, University of Lausanne, Jules-Gonin Eye Hospital, Fondation Asile des Aveugles, Lausanne, Switzerland
| | - Carel B Hoyng
- Department of Ophthalmology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Jay K Chhablani
- Department of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Frank G Holz
- Department of Ophthalmology, University of Bonn, Bonn, Germany
| | - Sobha Sivaprasad
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust, London, UK
| | - Andrew J Lotery
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Lawrence A Yannuzzi
- Vitreous Retina Macula Consultants of New York, New York, NY, USA; LuEsther T. Mertz Retinal Research Center, Manhattan Eye, Ear, and Throat Hospital, New York, NY, USA; Department of Ophthalmology, New York University Grossman School of Medicine, New York, USA; Department of Ophthalmology, Manhattan Eye, Ear and Throat Hospital, New York, NY, USA
| | - K Bailey Freund
- Vitreous Retina Macula Consultants of New York, New York, NY, USA; Department of Ophthalmology, New York University School of Medicine, New York, NY, USA
| | - Camiel J F Boon
- Department of Ophthalmology, Leiden University Medical Center, Leiden, the Netherlands; Department of Ophthalmology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands.
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Brodzka S, Baszyński J, Rektor K, Hołderna-Bona K, Stanek E, Kurhaluk N, Tkaczenko H, Malukiewicz G, Woźniak A, Kamiński P. Immunogenetic and Environmental Factors in Age-Related Macular Disease. Int J Mol Sci 2024; 25:6567. [PMID: 38928273 PMCID: PMC11203563 DOI: 10.3390/ijms25126567] [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: 03/24/2024] [Revised: 06/08/2024] [Accepted: 06/10/2024] [Indexed: 06/28/2024] Open
Abstract
Age-related macular degeneration (AMD) is a chronic disease, which often develops in older people, but this is not the rule. AMD pathogenesis changes include the anatomical and functional complex. As a result of damage, it occurs, in the retina and macula, among other areas. These changes may lead to partial or total loss of vision. This disease can occur in two clinical forms, i.e., dry (progression is slowly and gradually) and exudative (wet, progression is acute and severe), which usually started as dry form. A coexistence of both forms is possible. AMD etiology is not fully understood. Extensive genetic studies have shown that this disease is multifactorial and that genetic determinants, along with environmental and metabolic-functional factors, are important risk factors. This article reviews the impact of heavy metals, macro- and microelements, and genetic factors on the development of AMD. We present the current state of knowledge about the influence of environmental factors and genetic determinants on the progression of AMD in the confrontation with our own research conducted on the Polish population from Kuyavian-Pomeranian and Lubusz Regions. Our research is concentrated on showing how polluted environments of large agglomerations affects the development of AMD. In addition to confirming heavy metal accumulation, the growth of risk of acute phase factors and polymorphism in the genetic material in AMD development, it will also help in the detection of new markers of this disease. This will lead to a better understanding of the etiology of AMD and will help to establish prevention and early treatment.
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Affiliation(s)
- Sylwia Brodzka
- Division of Ecology and Environmental Protection, Department of Medical Biology and Biochemistry, Faculty of Medicine, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, M. Skłodowska-Curie St. 9, PL 85-094 Bydgoszcz, Poland; (S.B.); (J.B.); (K.H.-B.); (E.S.)
- Department of Biotechnology, Institute of Biological Sciences, Faculty of Biological Sciences, University of Zielona Góra, Prof. Z. Szafran St. 1, PL 65-516 Zielona Góra, Poland;
| | - Jędrzej Baszyński
- Division of Ecology and Environmental Protection, Department of Medical Biology and Biochemistry, Faculty of Medicine, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, M. Skłodowska-Curie St. 9, PL 85-094 Bydgoszcz, Poland; (S.B.); (J.B.); (K.H.-B.); (E.S.)
| | - Katarzyna Rektor
- Department of Biotechnology, Institute of Biological Sciences, Faculty of Biological Sciences, University of Zielona Góra, Prof. Z. Szafran St. 1, PL 65-516 Zielona Góra, Poland;
| | - Karolina Hołderna-Bona
- Division of Ecology and Environmental Protection, Department of Medical Biology and Biochemistry, Faculty of Medicine, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, M. Skłodowska-Curie St. 9, PL 85-094 Bydgoszcz, Poland; (S.B.); (J.B.); (K.H.-B.); (E.S.)
| | - Emilia Stanek
- Division of Ecology and Environmental Protection, Department of Medical Biology and Biochemistry, Faculty of Medicine, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, M. Skłodowska-Curie St. 9, PL 85-094 Bydgoszcz, Poland; (S.B.); (J.B.); (K.H.-B.); (E.S.)
| | - Natalia Kurhaluk
- Institute of Biology, Pomeranian University in Słupsk, Arciszewski St. 22 B, PL 76-200 Słupsk, Poland; (N.K.); (H.T.)
| | - Halina Tkaczenko
- Institute of Biology, Pomeranian University in Słupsk, Arciszewski St. 22 B, PL 76-200 Słupsk, Poland; (N.K.); (H.T.)
| | - Grażyna Malukiewicz
- Department of Eye Diseases, University Hospital No. 1, Faculty of Medicine, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, M. Skłodowska-Curie St. 9, PL 85-092 Bydgoszcz, Poland;
| | - Alina Woźniak
- Department of Medical Biology and Biochemistry, Faculty of Medicine, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, M. Karłowicz St. 24, PL 85-092 Bydgoszcz, Poland;
| | - Piotr Kamiński
- Division of Ecology and Environmental Protection, Department of Medical Biology and Biochemistry, Faculty of Medicine, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, M. Skłodowska-Curie St. 9, PL 85-094 Bydgoszcz, Poland; (S.B.); (J.B.); (K.H.-B.); (E.S.)
- Department of Biotechnology, Institute of Biological Sciences, Faculty of Biological Sciences, University of Zielona Góra, Prof. Z. Szafran St. 1, PL 65-516 Zielona Góra, Poland;
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Pu KL, Kang H, Li L. Therapeutic targets for age-related macular degeneration: proteome-wide Mendelian randomization and colocalization analyses. Front Neurol 2024; 15:1400557. [PMID: 38903171 PMCID: PMC11187347 DOI: 10.3389/fneur.2024.1400557] [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: 03/13/2024] [Accepted: 05/24/2024] [Indexed: 06/22/2024] Open
Abstract
Background Currently, effective therapeutic drugs for age-related macular degeneration (AMD) are urgently needed, and it is crucial to explore new treatment targets. The proteome is indispensable for exploring disease targets, so we conducted a Mendelian randomization (MR) of the proteome to identify new targets for AMD and its related subtypes. Methods The plasma protein level data used in this study were obtained from two large-scale studies of protein quantitative trait loci (pQTL), comprising 35,559 and 54,219 samples, respectively. The expression quantitative trait loci (eQTL) data were sourced from eQTLGen and GTEx Version 8. The discovery set for AMD data and subtypes was derived from the FinnGen study, consisting of 9,721 AMD cases and 381,339 controls, 5,239 wet AMD cases and 273,920 controls, and 6,651 dry AMD cases and 272,504 controls. The replication set for AMD data was obtained from the study by Winkler TW et al., comprising 14,034 cases and 91,234 controls. Summary Mendelian randomization (SMR) analysis was employed to assess the association between QTL data and AMD and its subtypes, while colocalization analysis was performed to determine whether they share causal variants. Additionally, chemical exploration and molecular docking were utilized to validate potential drugs targeting the identified proteins. Results SMR and colocalization analysis jointly identified risk-associated proteins for AMD and its subtypes, including 5 proteins (WARS1, BRD2, IL20RB, TGFB1, TNFRSF10A) associated with AMD, 2 proteins (WARS1, IL20RB) associated with Dry-AMD, and 9 proteins (COL10A1, WARS1, VTN, SDF2, LBP, CD226, TGFB1, TNFRSF10A, CSF2) associated with Wet-AMD. The results revealed potential therapeutic chemicals, and molecular docking indicated a good binding between the chemicals and protein structures. Conclusion Proteome-wide MR have identified risk-associated proteins for AMD and its subtypes, suggesting that these proteins may serve as potential therapeutic targets worthy of further clinical investigation.
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Affiliation(s)
- Kun-Lin Pu
- Pengzhou Hospital of Traditional Chinese Medicine, Chengdu, China
| | - Hong Kang
- Department of Thoracic Surgery, Sichuan Cancer Hospital, Chengdu, China
| | - Li Li
- Pengzhou Hospital of Traditional Chinese Medicine, Chengdu, China
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Wada I, Mori K, Sreekumar PG, Ji R, Spee C, Hong E, Ishikawa K, Sonoda KH, Kannan R. Characterization and contribution of RPE senescence to Age-related macular degeneration in Tnfrsf10 knock out mice. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.04.552052. [PMID: 37577701 PMCID: PMC10418235 DOI: 10.1101/2023.08.04.552052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
Background Retinal pigment epithelial cells (RPE) play vital role in the pathogenesis of age-related macular degeneration (AMD). Our laboratory has shown that RPE cellular senescence contributed to the pathophysiology of experimental AMD, and SASP members are involved in this process. Recently, we presented confirmatory evidence to earlier GWAS studies that dysregulation of tumor necrosis factor receptor superfamily 10A (TNFRSF10A) dysregulation leads to AMD development and is linked to RPE dysfunction. This study aims to investigate the contribution of RPE senescence to AMD pathophysiology using TNFRSF10A silenced human RPE (hRPE) cells and Tnfrsf10 KO mice. Methods Sub-confluent primary hRPE cells and TNFRSF10A silenced hRPE were exposed to stress-induced premature senescence with H2O2 (500 μM, 48h), and senescence-associated markers (βgal, p16, and p21) were analyzed by RT-PCR and WB analysis. The effect of H2O2-induced senescence in non-silenced and silenced hRPE on OXPHOS and glycolysis was determined using Seahorse XF96 analyzer. Male C57BL/6J Tnfrsf10 KO ( Tnfrsf10 -/- ) mice were used to study the regulation of senescence by TNFRSF10A in vivo . Expression of p16 and p21 in control and KO mice of varying ages were determined by RT-PCR, WB, and immunostaining analysis. Results The senescence-associated p16 and p21 showed a significant ( p < 0.01) upregulation with H2O2 induction at the gene (1.8- and 3-fold) and protein (3.2- and 4-fold) levels in hRPE cells. The protein expression of p16 and p21 was further significantly increased by co-treatment with siRNA ( p < 0.05 vs. H2O2). Mitochondrial oxygen consumption rate (OCR) and extracellular acidification rate (ECAR) (pmol/min/total DNA) increased with senescence induction by H2O2 for 48h in control RPE, and knockdown of TNFRSF10A caused a further increase in OCR and ECAR. In addition, co-treatment with PKC activator significantly improved all parameters. Similarly, in vivo studies showed upregulation of p16 and p21 by RT-PCR, WB, and immunostaining analysis in RPE/choroid of Tnfrsf10 KO mice. When subjected to examination across distinct age groups, namely young (1-3 months), middle (6-9 months), and old (12-15 months) mice, a discernible age-related elevation in the expression of p16 and p21 was observed. Conclusions Our findings suggest that TNRSF10A is a regulator of regulates in RPE senescence. Further work on elucidating pathways of senescence will facilitate the development of new therapeutic targets for AMD.
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Kaczynski TJ, Husami NJ, Au ED, Farkas MH. Dysregulation of a lncRNA within the TNFRSF10A locus activates cell death pathways. Cell Death Discov 2023; 9:242. [PMID: 37443108 DOI: 10.1038/s41420-023-01544-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 05/23/2023] [Accepted: 07/04/2023] [Indexed: 07/15/2023] Open
Abstract
TNFRSF10A (tumor necrosis factor receptor superfamily member 10A) encodes a cell surface receptor protein involved in apoptotic, necroptotic, and inflammatory pathways. Dysregulation of TNFRSF10A has been implicated in sensitization to apoptosis and to the development of multiple diseases, yet little is known of the AC100861.1 long noncoding RNA (lncRNA) that lies head-to-head with TNFRSF10A. Given its genomic positioning, we sought to investigate the function of AC100861.1, focusing on its potential relationship with TNFRSF10A and the role it may play in death receptor signaling. Using knockdown and overexpression strategies, we probed cell viability and examined transcript and protein-level changes in key genes involved in apoptosis, necroptosis, and inflammation. Decreased cell viability was observed upon TNFRSF10A overexpression, regardless of whether the cells were subjected to the chemical stressor tunicamycin. Similarly, overexpression of AC100861.1 led to increased cell death, with a further increase observed under conditions of cellular stress. Knockdown of TNFRSF10A increased cell death only when the cells were stressed, and AC100861.1 knockdown exhibited no effect on cell death. Neither knockdown nor overexpression of either of these genes greatly affected the expression of the other. Manipulating AC100861.1, however, led to marked changes in the expression of genes involved in necroptosis and inflammatory cell-signaling pathways. Additionally, RNA fluorescence in situ hybridization (RNA-FISH) revealed that the AC100861.1 transcript is localized primarily to the cytoplasm. Together, these data suggest that AC100861.1 may have a role in regulating necroptotic and inflammatory signaling pathways and that this function is separate from changes in TNFRSF10A expression. Given the importance of this genomic locus for cell survival, these data provide insight into the function of a poorly understood lncRNA with potential implications regarding disease pathology and treatment.
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Affiliation(s)
- Tadeusz J Kaczynski
- Research Service, VA Medical Center, Buffalo, NY, USA
- Department of Ophthalmology, State University of New York at Buffalo, Buffalo, NY, USA
| | - Nadine J Husami
- Research Service, VA Medical Center, Buffalo, NY, USA
- Department of Ophthalmology, State University of New York at Buffalo, Buffalo, NY, USA
- Department of Biochemistry, State University of New York at Buffalo, Buffalo, NY, USA
| | - Elizabeth D Au
- Department of Ophthalmology, State University of New York at Buffalo, Buffalo, NY, USA
| | - Michael H Farkas
- Research Service, VA Medical Center, Buffalo, NY, USA.
- Department of Ophthalmology, State University of New York at Buffalo, Buffalo, NY, USA.
- Department of Biochemistry, State University of New York at Buffalo, Buffalo, NY, USA.
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Orozco LD, Owen LA, Hofmann J, Stockwell AD, Tao J, Haller S, Mukundan VT, Clarke C, Lund J, Sridhar A, Mayba O, Barr JL, Zavala RA, Graves EC, Zhang C, Husami N, Finley R, Au E, Lillvis JH, Farkas MH, Shakoor A, Sherva R, Kim IK, Kaminker JS, Townsend MJ, Farrer LA, Yaspan BL, Chen HH, DeAngelis MM. A systems biology approach uncovers novel disease mechanisms in age-related macular degeneration. CELL GENOMICS 2023; 3:100302. [PMID: 37388919 PMCID: PMC10300496 DOI: 10.1016/j.xgen.2023.100302] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 01/21/2023] [Accepted: 03/22/2023] [Indexed: 07/01/2023]
Abstract
Age-related macular degeneration (AMD) is a leading cause of blindness, affecting 200 million people worldwide. To identify genes that could be targeted for treatment, we created a molecular atlas at different stages of AMD. Our resource is comprised of RNA sequencing (RNA-seq) and DNA methylation microarrays from bulk macular retinal pigment epithelium (RPE)/choroid of clinically phenotyped normal and AMD donor eyes (n = 85), single-nucleus RNA-seq (164,399 cells), and single-nucleus assay for transposase-accessible chromatin (ATAC)-seq (125,822 cells) from the retina, RPE, and choroid of 6 AMD and 7 control donors. We identified 23 genome-wide significant loci differentially methylated in AMD, over 1,000 differentially expressed genes across different disease stages, and an AMD Müller state distinct from normal or gliosis. Chromatin accessibility peaks in genome-wide association study (GWAS) loci revealed putative causal genes for AMD, including HTRA1 and C6orf223. Our systems biology approach uncovered molecular mechanisms underlying AMD, including regulators of WNT signaling, FRZB and TLE2, as mechanistic players in disease.
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Affiliation(s)
- Luz D. Orozco
- Department of Bioinformatics and Computational Biology, Genentech, South San Francisco, CA 94080, USA
| | - Leah A. Owen
- Department of Ophthalmology and Visual Sciences, University of Utah School of Medicine, The University of Utah, Salt Lake City, UT 84132, USA
- Department of Population Health Sciences, University of Utah School of Medicine, The University of Utah, Salt Lake City, UT 84132, USA
- Department of Obstetrics and Gynecology, University of Utah School of Medicine, The University of Utah, Salt Lake City, UT 84132, USA
- Department of Ophthalmology, Ross Eye Institute, Jacobs School of Medicine and Biomedical Sciences, State University of New York, University at Buffalo, Buffalo, NY 14203, USA
| | - Jeffrey Hofmann
- Department of Pathology, Genentech, South San Francisco, CA 94080, USA
| | - Amy D. Stockwell
- Department of Human Genetics, Genentech, South San Francisco, CA 94080, USA
| | - Jianhua Tao
- Department of Pathology, Genentech, South San Francisco, CA 94080, USA
| | - Susan Haller
- Department of Pathology, Genentech, South San Francisco, CA 94080, USA
| | - Vineeth T. Mukundan
- Department of Bioinformatics and Computational Biology, Genentech, South San Francisco, CA 94080, USA
| | - Christine Clarke
- Department of Bioinformatics and Computational Biology, Genentech, South San Francisco, CA 94080, USA
| | - Jessica Lund
- Departments of Microchemistry, Proteomics and Lipidomics, Genentech, South San Francisco, CA 94080, USA
| | - Akshayalakshmi Sridhar
- Department of Human Pathobiology & OMNI Reverse Translation, Genentech, South San Francisco, CA 94080, USA
| | - Oleg Mayba
- Department of Bioinformatics and Computational Biology, Genentech, South San Francisco, CA 94080, USA
| | - Julie L. Barr
- Department of Ophthalmology, Ross Eye Institute, Jacobs School of Medicine and Biomedical Sciences, State University of New York, University at Buffalo, Buffalo, NY 14203, USA
- Neuroscience Graduate Program, Jacobs School of Medicine and Biomedical Sciences, State University of New York, University at Buffalo, Buffalo, NY 14203, USA
| | - Rylee A. Zavala
- Department of Ophthalmology, Ross Eye Institute, Jacobs School of Medicine and Biomedical Sciences, State University of New York, University at Buffalo, Buffalo, NY 14203, USA
| | - Elijah C. Graves
- Department of Ophthalmology, Ross Eye Institute, Jacobs School of Medicine and Biomedical Sciences, State University of New York, University at Buffalo, Buffalo, NY 14203, USA
| | - Charles Zhang
- Department of Ophthalmology, Ross Eye Institute, Jacobs School of Medicine and Biomedical Sciences, State University of New York, University at Buffalo, Buffalo, NY 14203, USA
| | - Nadine Husami
- Department of Ophthalmology, Ross Eye Institute, Jacobs School of Medicine and Biomedical Sciences, State University of New York, University at Buffalo, Buffalo, NY 14203, USA
- Department of Biochemistry, Jacobs School of Medicine and Biomedical Sciences, State University of New York, University at Buffalo, Buffalo, NY 14203, USA
| | - Robert Finley
- Department of Ophthalmology, Ross Eye Institute, Jacobs School of Medicine and Biomedical Sciences, State University of New York, University at Buffalo, Buffalo, NY 14203, USA
| | - Elizabeth Au
- Department of Ophthalmology, Ross Eye Institute, Jacobs School of Medicine and Biomedical Sciences, State University of New York, University at Buffalo, Buffalo, NY 14203, USA
| | - John H. Lillvis
- Department of Ophthalmology, Ross Eye Institute, Jacobs School of Medicine and Biomedical Sciences, State University of New York, University at Buffalo, Buffalo, NY 14203, USA
- Veterans Administration Western New York Healthcare System, Buffalo, NY 14212, USA
| | - Michael H. Farkas
- Department of Ophthalmology, Ross Eye Institute, Jacobs School of Medicine and Biomedical Sciences, State University of New York, University at Buffalo, Buffalo, NY 14203, USA
- Neuroscience Graduate Program, Jacobs School of Medicine and Biomedical Sciences, State University of New York, University at Buffalo, Buffalo, NY 14203, USA
- Department of Biochemistry, Jacobs School of Medicine and Biomedical Sciences, State University of New York, University at Buffalo, Buffalo, NY 14203, USA
- Veterans Administration Western New York Healthcare System, Buffalo, NY 14212, USA
| | - Akbar Shakoor
- Department of Ophthalmology and Visual Sciences, University of Utah School of Medicine, The University of Utah, Salt Lake City, UT 84132, USA
| | - Richard Sherva
- Department of Medicine, Biomedical Genetics, Boston University School of Medicine, Boston, MA 02118, USA
| | - Ivana K. Kim
- Retina Service, Massachusetts Eye & Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA 02114, USA
| | - Joshua S. Kaminker
- Department of Bioinformatics and Computational Biology, Genentech, South San Francisco, CA 94080, USA
| | - Michael J. Townsend
- Department of Human Pathobiology & OMNI Reverse Translation, Genentech, South San Francisco, CA 94080, USA
| | - Lindsay A. Farrer
- Department of Medicine, Biomedical Genetics, Boston University School of Medicine, Boston, MA 02118, USA
| | - Brian L. Yaspan
- Department of Human Genetics, Genentech, South San Francisco, CA 94080, USA
| | - Hsu-Hsin Chen
- Department of Human Pathobiology & OMNI Reverse Translation, Genentech, South San Francisco, CA 94080, USA
| | - Margaret M. DeAngelis
- Department of Ophthalmology and Visual Sciences, University of Utah School of Medicine, The University of Utah, Salt Lake City, UT 84132, USA
- Department of Population Health Sciences, University of Utah School of Medicine, The University of Utah, Salt Lake City, UT 84132, USA
- Department of Ophthalmology, Ross Eye Institute, Jacobs School of Medicine and Biomedical Sciences, State University of New York, University at Buffalo, Buffalo, NY 14203, USA
- Neuroscience Graduate Program, Jacobs School of Medicine and Biomedical Sciences, State University of New York, University at Buffalo, Buffalo, NY 14203, USA
- Genetics, Genomics and Bioinformatics Graduate Program, Jacobs School of Medicine and Biomedical Sciences, State University of New York, University at Buffalo, Buffalo, NY 14203, USA
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9
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Laval F, Coppin G, Twizere JC, Vidal M. Homo cerevisiae-Leveraging Yeast for Investigating Protein-Protein Interactions and Their Role in Human Disease. Int J Mol Sci 2023; 24:9179. [PMID: 37298131 PMCID: PMC10252790 DOI: 10.3390/ijms24119179] [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: 05/01/2023] [Revised: 05/20/2023] [Accepted: 05/22/2023] [Indexed: 06/12/2023] Open
Abstract
Understanding how genetic variation affects phenotypes represents a major challenge, particularly in the context of human disease. Although numerous disease-associated genes have been identified, the clinical significance of most human variants remains unknown. Despite unparalleled advances in genomics, functional assays often lack sufficient throughput, hindering efficient variant functionalization. There is a critical need for the development of more potent, high-throughput methods for characterizing human genetic variants. Here, we review how yeast helps tackle this challenge, both as a valuable model organism and as an experimental tool for investigating the molecular basis of phenotypic perturbation upon genetic variation. In systems biology, yeast has played a pivotal role as a highly scalable platform which has allowed us to gain extensive genetic and molecular knowledge, including the construction of comprehensive interactome maps at the proteome scale for various organisms. By leveraging interactome networks, one can view biology from a systems perspective, unravel the molecular mechanisms underlying genetic diseases, and identify therapeutic targets. The use of yeast to assess the molecular impacts of genetic variants, including those associated with viral interactions, cancer, and rare and complex diseases, has the potential to bridge the gap between genotype and phenotype, opening the door for precision medicine approaches and therapeutic development.
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Affiliation(s)
- Florent Laval
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02215, USA; (F.L.); (G.C.)
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
- TERRA Teaching and Research Centre, University of Liège, 5030 Gembloux, Belgium
- Laboratory of Viral Interactomes, GIGA Institute, University of Liège, 4000 Liège, Belgium
| | - Georges Coppin
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02215, USA; (F.L.); (G.C.)
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
- Laboratory of Viral Interactomes, GIGA Institute, University of Liège, 4000 Liège, Belgium
| | - Jean-Claude Twizere
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02215, USA; (F.L.); (G.C.)
- TERRA Teaching and Research Centre, University of Liège, 5030 Gembloux, Belgium
- Laboratory of Viral Interactomes, GIGA Institute, University of Liège, 4000 Liège, Belgium
- Division of Science and Math, New York University Abu Dhabi, Abu Dhabi P.O. Box 129188, United Arab Emirates
| | - Marc Vidal
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02215, USA; (F.L.); (G.C.)
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA
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10
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Akiyama M, Miyake M, Momozawa Y, Arakawa S, Maruyama-Inoue M, Endo M, Iwasaki Y, Ishigaki K, Matoba N, Okada Y, Yasuda M, Oshima Y, Yoshida S, Nakao SY, Morino K, Mori Y, Kido A, Kato A, Yasukawa T, Obata R, Nagai Y, Takahashi K, Fujisawa K, Miki A, Nakamura M, Honda S, Ushida H, Yasuma T, Nishiguchi KM, Mori R, Tanaka K, Wakatsuki Y, Yamashiro K, Kadonosono K, Terao C, Ishibashi T, Tsujikawa A, Sonoda KH, Kubo M, Kamatani Y. Genome-Wide Association Study of Age-Related Macular Degeneration Reveals 2 New Loci Implying Shared Genetic Components with Central Serous Chorioretinopathy. Ophthalmology 2023; 130:361-372. [PMID: 36423732 DOI: 10.1016/j.ophtha.2022.10.034] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 09/27/2022] [Accepted: 10/17/2022] [Indexed: 11/23/2022] Open
Abstract
PURPOSE To investigate the genetic architecture of age-related macular degeneration (AMD) in a Japanese population. DESIGN Genome-wide association study (GWAS). PARTICIPANTS Three thousand seven hundred seventy-two patients with AMD and 16 770 control participants from the Japanese population were enrolled in the association analyses. METHODS We conducted a meta-analysis of 2 independent GWASs that included a total of 2663 patients with AMD and 9471 control participants using the imputation reference panel for genotype imputation specified for the Japanese population (n = 3541). A replication study was performed using an independent set of 1109 patients with AMD and 7299 control participants. MAIN OUTCOME MEASURES Associations of genetic variants with AMD. RESULTS A meta-analysis of the 2 GWASs identified 6 loci significantly associated with AMD (P < 5.0 × 10-8). Of these loci, 4 were known to be associated with AMD (CFH, C2/FB, TNFRSF10A, and ARMS2), and 2 were novel (rs4147157 near WBP1L and rs76228488 near GATA5). The newly identified associations were confirmed in a replication study (P < 0.01). After the meta-analysis of all datasets, we observed strong associations in these loci (P = 1.88 × 10-12 and P = 1.35 × 10-9 for meta-analysis for rs4147157 and rs76228488, respectively). When we looked up the associations in the reported central serous chorioretinopathy (CSC) GWAS conducted in the Japanese population, both loci were associated significantly with CSC (P = 4.86 × 10-3 and P = 4.28 × 10-3 for rs4147157 and rs76228488, respectively). We performed a genetic colocalization analysis for these loci and estimated that the posterior probabilities of shared causal variants between AMD and CSC were 0.39 and 0.60 for WBP1L and GATA5, respectively. Genetic correlation analysis focusing on the epidemiologically suggested clinical risk factors implicated shared polygenic architecture between AMD and smoking cessation (rg [the measure of genetic correlation] = -0.33; P = 0.01; false discovery rate, 0.099). CONCLUSIONS Our findings imply shared genetic components conferring the risk of both AMD and CSC. FINANCIAL DISCLOSURE(S) Proprietary or commercial disclosure may be found after the references.
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Affiliation(s)
- Masato Akiyama
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan; Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan; Department of Ocular Pathology and Imaging Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Department of Ophthalmology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
| | - Masahiro Miyake
- Department of Ophthalmology and Visual Sciences, Kyoto University, Graduate School of Medicine, Kyoto, Japan; Center for Genomic Medicine, Kyoto University, Graduate School of Medicine, Kyoto, Japan
| | - Yukihide Momozawa
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan
| | - Satoshi Arakawa
- Department of Ophthalmology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Japan Community Health care Organization Kyushu Hospital, Fukuoka, Japan; Arakawa Eye Clinic, Fukuoka, Japan
| | - Maiko Maruyama-Inoue
- Department of Ophthalmology and Micro-technology, Yokohama City University, Yokohama, Japan
| | - Mikiko Endo
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan
| | - Yusuke Iwasaki
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan
| | - Kazuyoshi Ishigaki
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Nana Matoba
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina; UNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka, Japan; Department of Genome Informatics, Graduate School of Medicine, University of Tokyo, Tokyo, Japan; Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Miho Yasuda
- Department of Ophthalmology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Kurakazu Eye Clinic, Fukuoka, Japan
| | - Yuji Oshima
- Department of Ophthalmology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Section of Ophthalmology, Department of Medicine, Fukuoka Dental College, Fukuoka, Japan
| | - Shigeo Yoshida
- Department of Ophthalmology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Department of Ophthalmology, Kurume University School of Medicine, Fukuoka, Japan
| | - Shin-Ya Nakao
- Department of Ophthalmology and Visual Sciences, Kyoto University, Graduate School of Medicine, Kyoto, Japan
| | - Kazuya Morino
- Department of Ophthalmology and Visual Sciences, Kyoto University, Graduate School of Medicine, Kyoto, Japan
| | - Yuki Mori
- Department of Ophthalmology and Visual Sciences, Kyoto University, Graduate School of Medicine, Kyoto, Japan
| | - Ai Kido
- Department of Ophthalmology and Visual Sciences, Kyoto University, Graduate School of Medicine, Kyoto, Japan
| | - Aki Kato
- Department of Ophthalmology and Visual Science, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Tsutomu Yasukawa
- Department of Ophthalmology and Visual Science, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Ryo Obata
- Department of Ophthalmology, University of Tokyo School of Medicine, Tokyo, Japan
| | - Yoshimi Nagai
- Department of Ophthalmology, Kansai Medical University, Osaka, Japan
| | - Kanji Takahashi
- Department of Ophthalmology, Kansai Medical University, Osaka, Japan
| | - Kimihiko Fujisawa
- Japan Community Health care Organization Kyushu Hospital, Fukuoka, Japan
| | - Akiko Miki
- Department of Surgery, Division of Ophthalmology, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Makoto Nakamura
- Department of Surgery, Division of Ophthalmology, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Shigeru Honda
- Department of Surgery, Division of Ophthalmology, Kobe University Graduate School of Medicine, Kobe, Japan; Department of Ophthalmology and Visual Sciences, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan
| | - Hiroaki Ushida
- Department of Ophthalmology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Tetsuhiro Yasuma
- Department of Ophthalmology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Koji M Nishiguchi
- Department of Ophthalmology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Ryusaburo Mori
- Division of Ophthalmology, Nihon University School of Medicine, Tokyo, Japan
| | - Koji Tanaka
- Division of Ophthalmology, Nihon University School of Medicine, Tokyo, Japan
| | - Yu Wakatsuki
- Division of Ophthalmology, Nihon University School of Medicine, Tokyo, Japan
| | - Kenji Yamashiro
- Department of Ophthalmology and Visual Sciences, Kyoto University, Graduate School of Medicine, Kyoto, Japan; Department of Ophthalmology and Visual Science, Kochi Medical School, Kochi University, Kochi, Japan
| | - Kazuaki Kadonosono
- Department of Ophthalmology and Micro-technology, Yokohama City University, Yokohama, Japan
| | - Chikashi Terao
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Tatsuro Ishibashi
- Department of Ophthalmology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Akitaka Tsujikawa
- Department of Ophthalmology and Visual Sciences, Kyoto University, Graduate School of Medicine, Kyoto, Japan
| | - Koh-Hei Sonoda
- Department of Ophthalmology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Michiaki Kubo
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Yoichiro Kamatani
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan; Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan; Laboratory of Complex Trait Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, Tokyo, Japan
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11
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Zhou X, Zhang J, Ding Y, Huang H, Li Y, Chen W. Predicting late-stage age-related macular degeneration by integrating marginally weak SNPs in GWA studies. Front Genet 2023; 14:1075824. [PMID: 37065470 PMCID: PMC10101437 DOI: 10.3389/fgene.2023.1075824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 03/17/2023] [Indexed: 04/18/2023] Open
Abstract
Introduction: Age-related macular degeneration (AMD) is a progressive neurodegenerative disease and the leading cause of blindness in developed countries. Current genome-wide association studies (GWAS) for late-stage age-related macular degeneration are mainly single-marker-based approaches, which investigate one Single-Nucleotide Polymorphism (SNP) at a time and postpone the integration of inter-marker Linkage-disequilibrium (LD) information in the downstream fine mappings. Recent studies showed that directly incorporating inter-marker connection/correlation into variants detection can help discover novel marginally weak single-nucleotide polymorphisms, which are often missed in conventional genome-wide association studies, and can also help improve disease prediction accuracy. Methods: Single-marker analysis is performed first to detect marginally strong single-nucleotide polymorphisms. Then the whole-genome linkage-disequilibrium spectrum is explored and used to search for high-linkage-disequilibrium connected single-nucleotide polymorphism clusters for each strong single-nucleotide polymorphism detected. Marginally weak single-nucleotide polymorphisms are selected via a joint linear discriminant model with the detected single-nucleotide polymorphism clusters. Prediction is made based on the selected strong and weak single-nucleotide polymorphisms. Results: Several previously identified late-stage age-related macular degeneration susceptibility genes, for example, BTBD16, C3, CFH, CFHR3, HTARA1, are confirmed. Novel genes DENND1B, PLK5, ARHGAP45, and BAG6 are discovered as marginally weak signals. Overall prediction accuracy of 76.8% and 73.2% was achieved with and without the inclusion of the identified marginally weak signals, respectively. Conclusion: Marginally weak single-nucleotide polymorphisms, detected from integrating inter-marker linkage-disequilibrium information, may have strong predictive effects on age-related macular degeneration. Detecting and integrating such marginally weak signals can help with a better understanding of the underlying disease-development mechanisms for age-related macular degeneration and more accurate prognostics.
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Affiliation(s)
- Xueping Zhou
- Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA, United States
| | - Jipeng Zhang
- Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA, United States
| | - Ying Ding
- Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA, United States
| | - Heng Huang
- Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, United States
| | - Yanming Li
- Department of Biostatistics and Data Science, University of Kansas Medical Center, Kansas, KS, United States
| | - Wei Chen
- Department of Pediatrics, University of Pittsburgh, Pittsburgh, PA, United States
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12
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Chen LJ, Chen ZJ, Pang CP. Latest Development on Genetics of Common Retinal Diseases. Asia Pac J Ophthalmol (Phila) 2023; 12:228-251. [PMID: 36971708 DOI: 10.1097/apo.0000000000000592] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Accepted: 11/15/2022] [Indexed: 03/29/2023] Open
Abstract
Many complex forms of retinal diseases are common and pan-ethnic in occurrence. Among them, neovascular age-related macular degeneration, polypoidal choroidal vasculopathy, and central serous choroid retinopathy involve both choroidopathy and neovascularization with multifactorial etiology. They are sight-threatening and potentially blinding. Early treatment is crucial to prevent disease progression. To understand their genetic basis, candidate gene mutational and association analyses, linkage analysis, genome-wide association studies, transcriptome analysis, next-generation sequencing, which includes targeted deep sequencing, whole-exome sequencing, and whole genome sequencing have been conducted. Advanced genomic technologies have led to the identification of many associated genes. But their etiologies are attributed to complicated interactions of multiple genetic and environmental risk factors. Onset and progression of neovascular age-related macular degeneration and polypoidal choroidal vasculopathy are affected by aging, smoking, lifestyle, and variants in over 30 genes. Although some genetic associations have been confirmed and validated, individual genes or polygenic risk markers of clinical value have not been established. The genetic architectures of all these complex retinal diseases that involve sequence variant quantitative trait loci have not been fully delineated. Recently artificial intelligence is making an impact in the collection and advanced analysis of genetic, investigative, and lifestyle data for the establishment of predictive factors for the risk of disease onset, progression, and prognosis. This will contribute to individualized precision medicine for the management of complex retinal diseases.
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Affiliation(s)
- Li Jia Chen
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, China
- Department of Ophthalmology and Visual Sciences, Prince of Wales Hospital Eye Centre, Hong Kong, China
- Hong Kong Hub of Pediatric Excellence, The Chinese University of Hong Kong, Hong Kong, China
| | - Zhen Ji Chen
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Chi Pui Pang
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, China
- Hong Kong Hub of Pediatric Excellence, The Chinese University of Hong Kong, Hong Kong, China
- Joint Shantou International Eye Centre of Shantou University and The Chinese University of Hong Kong, Shantou, Guangdong, China
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13
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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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14
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Proteomic genotyping of SNP of Complement Factor H (CFH) Y402H and I62V using multiple reaction monitoring (MRM) assays. Sci Rep 2022; 12:19587. [PMID: 36379987 PMCID: PMC9666549 DOI: 10.1038/s41598-022-20936-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 09/21/2022] [Indexed: 11/16/2022] Open
Abstract
The single nucleotide polymorphisms (SNPs) of complement factor H (CFH) gene are well-known genetic risk factors for age-related macular degeneration (AMD). To identify whether the measurement of plasma protein concentrations of CFH variants using the multiple reaction monitoring (MRM) assay can determine the genotypes of CFH SNP rs1061170 and rs800292, 120 patients with AMD and 26 controls were included in this study. The number of cases were TT:TC:CC = 121:24:1 in CFH SNP Y402H and GG:AG:AA = 72:57:17 in CFH SNP I62V. Plasma concentrations of tryptic peptides were measured using the MRM assay, and tyrosine/histidine (Y/H) and valine/isoleucine (V/I) CFH variant protein ratios were obtained. To discriminate the genotypes by the plasma protein ratios, cut-off values were set for Y/H ratios (TT: > 4.428; TC: 1.00-4.428; CC: < 1.00) and V/I ratios (GG: > 1.09; AG: 0.0089-1.08; AA: < 0.0089). Correlation analysis revealed that the plasma CFH variant protein ratios and genotypes of CFH were exactly matched (100%) without overlap in the total patients and controls. The measurement of plasma protein CFH variants using the MRM assay can accurately identify the genotypes of CFH SNPs of Y402H and I62V.
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15
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Huang G, Li H, Lai S, Xiao J, Wang L, Xu H, Lei C, Zhang J, Yu M, Shuai P, Liu Y, Shi Y, Wang K, Gong B. HTRA1 rs11528744, BCRA1 rs9928736, and B3GLCT rs4381465 are associated with age-related macular degeneration in a Chinese population. Front Genet 2022; 13:997840. [PMID: 36263425 PMCID: PMC9574478 DOI: 10.3389/fgene.2022.997840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 09/08/2022] [Indexed: 11/13/2022] Open
Abstract
Purpose: Age-related macular degeneration (AMD) is a leading cause of vision loss. A Previous study based on the co-localization analysis of the genome-wide association study (GWAS) and eQTL genetic signals have reported that single nucleotide polymorphisms (SNPs), including rs760975, rs11528744, rs3761159, rs7212510, rs6965458, rs7559693, rs56108400, rs28495773, rs9928736, rs11777697, rs4381465 are associated with AMD in Americans. The aim of this study was to investigate the association of these SNPs in a Han Chinese population.Methods: There were 576 patients with wet AMD and 572 healthy controls collected in this study. All SNPs were genotyped by flight mass spectrum. Hardy–Weinberg equilibrium was applied to evaluate allele distributions for both AMD and control groups. The genotype and allele frequencies were evaluated using the χ2 tests. Odds ratio (OR) and 95% confidence intervals (95% CI) were calculated for the risk of genotype and allele.Results: Three of the 11 SNPs (rs11528744 in HTRA1, rs9928736 in BCRA1 and rs4381465 in B3GLCT) were found to be significantly associated with AMD in the allelic model (corrected p = 0.001, OR = 1.391, 95%CI = 1.179–1.640 for rs11528744; corrected p = 0.004, OR = 0.695, 95%CI = 0.544–0.888 for rs9928736; corrected p = 0.002, OR = 0.614, 95%CI = 0.448–0.841 for rs4381465). There were no differences for the remaining eight SNPs between AMD cases and healthy controls.Conclusion: Our results showed that HTRA1 rs11528744, BCRA1 rs9928736, and B3GLCT rs4381465 were associated with wet AMD, suggesting that HTRA1, BCRA1, and B3GLCT genes may be involved in the development of AMD.
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Affiliation(s)
- Guo Huang
- Human Disease Genes Key Laboratory of Sichuan Province and Institute of Laboratory Medicine, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
- Department of Health Management, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
- Research Unit for Blindness Prevention of Chinese Academy of Medical Sciences (2019RU026), Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Huan Li
- Human Disease Genes Key Laboratory of Sichuan Province and Institute of Laboratory Medicine, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
- Department of Health Management, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
- Research Unit for Blindness Prevention of Chinese Academy of Medical Sciences (2019RU026), Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Shuang Lai
- Human Disease Genes Key Laboratory of Sichuan Province and Institute of Laboratory Medicine, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Jialing Xiao
- Human Disease Genes Key Laboratory of Sichuan Province and Institute of Laboratory Medicine, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
- Department of Health Management, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
- Research Unit for Blindness Prevention of Chinese Academy of Medical Sciences (2019RU026), Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Liang Wang
- Human Disease Genes Key Laboratory of Sichuan Province and Institute of Laboratory Medicine, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Huijuan Xu
- Human Disease Genes Key Laboratory of Sichuan Province and Institute of Laboratory Medicine, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Chuntao Lei
- Department of Ophthalmology, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Jinglan Zhang
- Human Disease Genes Key Laboratory of Sichuan Province and Institute of Laboratory Medicine, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Man Yu
- Department of Ophthalmology, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Ping Shuai
- Human Disease Genes Key Laboratory of Sichuan Province and Institute of Laboratory Medicine, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Yuping Liu
- Human Disease Genes Key Laboratory of Sichuan Province and Institute of Laboratory Medicine, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Yi Shi
- Human Disease Genes Key Laboratory of Sichuan Province and Institute of Laboratory Medicine, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Kaijie Wang
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Ophthalmology and Visual Sciences Key Lab, Beijing, China
- *Correspondence: Bo Gong, ; Kaijie Wang,
| | - Bo Gong
- Human Disease Genes Key Laboratory of Sichuan Province and Institute of Laboratory Medicine, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
- Department of Health Management, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
- Research Unit for Blindness Prevention of Chinese Academy of Medical Sciences (2019RU026), Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
- *Correspondence: Bo Gong, ; Kaijie Wang,
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16
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Senabouth A, Daniszewski M, Lidgerwood GE, Liang HH, Hernández D, Mirzaei M, Keenan SN, Zhang R, Han X, Neavin D, Rooney L, Lopez Sanchez MIG, Gulluyan L, Paulo JA, Clarke L, Kearns LS, Gnanasambandapillai V, Chan CL, Nguyen U, Steinmann AM, McCloy RA, Farbehi N, Gupta VK, Mackey DA, Bylsma G, Verma N, MacGregor S, Watt MJ, Guymer RH, Powell JE, Hewitt AW, Pébay A. Transcriptomic and proteomic retinal pigment epithelium signatures of age-related macular degeneration. Nat Commun 2022; 13:4233. [PMID: 35882847 PMCID: PMC9325891 DOI: 10.1038/s41467-022-31707-4] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 06/29/2022] [Indexed: 11/08/2022] Open
Abstract
There are currently no treatments for geographic atrophy, the advanced form of age-related macular degeneration. Hence, innovative studies are needed to model this condition and prevent or delay its progression. Induced pluripotent stem cells generated from patients with geographic atrophy and healthy individuals were differentiated to retinal pigment epithelium. Integrating transcriptional profiles of 127,659 retinal pigment epithelium cells generated from 43 individuals with geographic atrophy and 36 controls with genotype data, we identify 445 expression quantitative trait loci in cis that are asssociated with disease status and specific to retinal pigment epithelium subpopulations. Transcriptomics and proteomics approaches identify molecular pathways significantly upregulated in geographic atrophy, including in mitochondrial functions, metabolic pathways and extracellular cellular matrix reorganization. Five significant protein quantitative trait loci that regulate protein expression in the retinal pigment epithelium and in geographic atrophy are identified - two of which share variants with cis- expression quantitative trait loci, including proteins involved in mitochondrial biology and neurodegeneration. Investigation of mitochondrial metabolism confirms mitochondrial dysfunction as a core constitutive difference of the retinal pigment epithelium from patients with geographic atrophy. This study uncovers important differences in retinal pigment epithelium homeostasis associated with geographic atrophy.
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Affiliation(s)
- Anne Senabouth
- Garvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, Sydney, NSW, 2010, Australia
| | - Maciej Daniszewski
- Department of Anatomy and Physiology, The University of Melbourne, Parkville, VIC, 3010, Australia
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, VIC, 3002, Australia
| | - Grace E Lidgerwood
- Department of Anatomy and Physiology, The University of Melbourne, Parkville, VIC, 3010, Australia
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, VIC, 3002, Australia
| | - Helena H Liang
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, VIC, 3002, Australia
| | - Damián Hernández
- Department of Anatomy and Physiology, The University of Melbourne, Parkville, VIC, 3010, Australia
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, VIC, 3002, Australia
| | - Mehdi Mirzaei
- Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, 2109, Australia
| | - Stacey N Keenan
- Department of Anatomy and Physiology, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Ran Zhang
- Garvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, Sydney, NSW, 2010, Australia
| | - Xikun Han
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, 4006, Australia
| | - Drew Neavin
- Garvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, Sydney, NSW, 2010, Australia
| | - Louise Rooney
- Department of Anatomy and Physiology, The University of Melbourne, Parkville, VIC, 3010, Australia
| | | | - Lerna Gulluyan
- Department of Anatomy and Physiology, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Joao A Paulo
- Department of Cell Biology, Harvard Medical School, Boston, MA, 02115, USA
| | - Linda Clarke
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, VIC, 3002, Australia
| | - Lisa S Kearns
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, VIC, 3002, Australia
| | | | - Chia-Ling Chan
- Garvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, Sydney, NSW, 2010, Australia
| | - Uyen Nguyen
- Garvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, Sydney, NSW, 2010, Australia
| | - Angela M Steinmann
- Garvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, Sydney, NSW, 2010, Australia
| | - Rachael A McCloy
- Garvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, Sydney, NSW, 2010, Australia
| | - Nona Farbehi
- Garvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, Sydney, NSW, 2010, Australia
| | - Vivek K Gupta
- Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, 2109, Australia
| | - David A Mackey
- Lions Eye Institute, Centre for Vision Sciences, University of Western Australia, Perth, WA, 6009, Australia
- School of Medicine, University of Tasmania, Hobart, TAS, 7005, Australia
| | - Guy Bylsma
- Lions Eye Institute, Centre for Vision Sciences, University of Western Australia, Perth, WA, 6009, Australia
| | - Nitin Verma
- School of Medicine, University of Tasmania, Hobart, TAS, 7005, Australia
| | - Stuart MacGregor
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, 4006, Australia
| | - Matthew J Watt
- Department of Anatomy and Physiology, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Robyn H Guymer
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, VIC, 3002, Australia
- Department of Surgery, Ophthalmology, Royal Victorian Eye and Ear Hospital, The University of Melbourne, East Melbourne, VIC, 3002, Australia
| | - Joseph E Powell
- Garvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, Sydney, NSW, 2010, Australia.
- UNSW Cellular Genomics Futures Institute, University of New South Wales, Sydney, NSW, 2052, Australia.
| | - Alex W Hewitt
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, VIC, 3002, Australia.
- School of Medicine, University of Tasmania, Hobart, TAS, 7005, Australia.
- Department of Surgery, Ophthalmology, Royal Victorian Eye and Ear Hospital, The University of Melbourne, East Melbourne, VIC, 3002, Australia.
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, 7000, Australia.
| | - Alice Pébay
- Department of Anatomy and Physiology, The University of Melbourne, Parkville, VIC, 3010, Australia.
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, VIC, 3002, Australia.
- Department of Surgery, Royal Melbourne Hospital, The University of Melbourne, Parkville, VIC, 3010, Australia.
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17
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Shughoury A, Sevgi DD, Ciulla TA. Molecular Genetic Mechanisms in Age-Related Macular Degeneration. Genes (Basel) 2022; 13:1233. [PMID: 35886016 PMCID: PMC9316037 DOI: 10.3390/genes13071233] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 06/30/2022] [Accepted: 07/05/2022] [Indexed: 11/29/2022] Open
Abstract
Age-related macular degeneration (AMD) is among the leading causes of irreversible blindness worldwide. In addition to environmental risk factors, such as tobacco use and diet, genetic background has long been established as a major risk factor for the development of AMD. However, our ability to predict disease risk and personalize treatment remains limited by our nascent understanding of the molecular mechanisms underlying AMD pathogenesis. Research into the molecular genetics of AMD over the past two decades has uncovered 52 independent gene variants and 34 independent loci that are implicated in the development of AMD, accounting for over half of the genetic risk. This research has helped delineate at least five major pathways that may be disrupted in the pathogenesis of AMD: the complement system, extracellular matrix remodeling, lipid metabolism, angiogenesis, and oxidative stress response. This review surveys our current understanding of each of these disease mechanisms, in turn, along with their associated pathogenic gene variants. Continued research into the molecular genetics of AMD holds great promise for the development of precision-targeted, personalized therapies that bring us closer to a cure for this debilitating disease.
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Affiliation(s)
- Aumer Shughoury
- Department of Ophthalmology, Eugene and Marilyn Glick Eye Institute, Indiana University School of Medicine, Indianapolis, IN 46202, USA; (A.S.); (D.D.S.)
| | - Duriye Damla Sevgi
- Department of Ophthalmology, Eugene and Marilyn Glick Eye Institute, Indiana University School of Medicine, Indianapolis, IN 46202, USA; (A.S.); (D.D.S.)
| | - Thomas A. Ciulla
- Department of Ophthalmology, Eugene and Marilyn Glick Eye Institute, Indiana University School of Medicine, Indianapolis, IN 46202, USA; (A.S.); (D.D.S.)
- Clearside Biomedical, Inc., Alpharetta, GA 30005, USA
- Midwest Eye Institute, Indianapolis, IN 46290, USA
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Karkhaneh R, Toufighi M, Amirfiroozy A, Ahmad-Raji A, Ahmadzadeh O, Mahdavi A, Naderan M. Association of central serous chorioretinopathy with single nucleotide polymorphisms in complement factor H gene in Iranian population. Eye (Lond) 2022; 36:1061-1065. [PMID: 33976403 PMCID: PMC9046259 DOI: 10.1038/s41433-021-01579-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Revised: 04/07/2021] [Accepted: 04/23/2021] [Indexed: 01/19/2023] Open
Abstract
OBJECTIVES To investigate the association of two different single nucleotide polymorphisms (SNPs) in the complement factor H (CFH) gene with central serous chorioretinopathy (CSCR) in the Iranian population. METHODS This is a case-control study with 95 participants in each group who were stratified according to their various ethnical variations. Primers for rs1329428 and rs3753394 polymorphisms were synthesized. DNA was extracted from peripheral blood leukocytes and underwent PCR and high-resolution melt analysis. RESULTS The frequency of tt, ct, and cc genotypes for rs1329428 polymorphism was 22 (26.5%), 46 (55.4%), and 15 (18.1%) in acute CSCR and 5 (41.7%), 5 (41.7%), and 2 (16.7%) in chronic CSCR respectively with no significant difference between case and control groups. The frequency of tt, ct, and cc genotypes for rs3753394 polymorphism was 31 (37.3%), 14 (16.9%), and 38 (45.8%) in acute CSCR and 4 (33.3%), 3 (25%), and 5 (41.7%) in chronic CSCR respectively. There was a significant difference between patients of Persian descent and controls in rs3753394 polymorphism (P = 0.00, chi-square test). There was no statistical difference in the frequency of polymorphism between acute and chronic patients (P = 0.64 and P = 0.79 respectively, chi-square test). CONCLUSIONS The rs3753394 polymorphism is probably associated with CSCR in Persian ethnicity. Further studies are required to validate the implications of this finding in clinical practice.
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Affiliation(s)
- Reza Karkhaneh
- grid.411705.60000 0001 0166 0922Department of Vitreoretinal Surgery, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohsen Toufighi
- grid.411705.60000 0001 0166 0922Department of Vitreoretinal Surgery, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Akbar Amirfiroozy
- grid.411705.60000 0001 0166 0922Department of Medical Genetics, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Aliasghar Ahmad-Raji
- grid.411705.60000 0001 0166 0922Department of Ocular Emergency and Trauma, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Oveis Ahmadzadeh
- grid.411705.60000 0001 0166 0922Eye Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Alborz Mahdavi
- grid.411705.60000 0001 0166 0922Eye Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Morteza Naderan
- grid.411705.60000 0001 0166 0922Eye Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran
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Zhang H, Hu J, Zhu J, Li Q, Fang L. Machine learning-based metabolism-related genes signature and immune infiltration landscape in diabetic nephropathy. Front Endocrinol (Lausanne) 2022; 13:1026938. [PMID: 36482994 PMCID: PMC9722730 DOI: 10.3389/fendo.2022.1026938] [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: 08/24/2022] [Accepted: 11/07/2022] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND To identify the diagnostic biomarkers of metabolism-related genes (MRGs), and investigate the association of the MRGs and immune infiltration landscape in diabetic nephropathy (DN). METHODS The transcriptome matrix was downloaded from the GEO database. R package "limma" was utilized to identify the differential expressed MRGs (DE-MRGs) of HC and DN samples. Genetic Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses of DE-MRGs were performed using "clusterProfiler" R package. WGCNA, LASSO, SVM-RFE, and RFE algorithms were employed to select the diagnostic feature biomarkers for DN. The ROC curve was used to evaluate discriminatory ability for diagnostic feature biomarkers. CIBERSORT algorithm was performed to investigate the fraction of the 22-types immune cells in HC and DN group. The correlation of diagnostic feature biomarkers and immune cells were performed via Spearman-rank correlation algorithm. RESULTS A total of 449 DE-MRGs were identified in this study. GO and KEGG pathway enrichment analysis indicated that the DE-MRGs were mainly enriched in small molecules catabolic process, purine metabolism, and carbon metabolism. ADI1, PTGS2, DGKH, and POLR2B were identified as diagnostic feature biomarkers for DN via WGCNA, LASSO, SVM-RFE, and RFE algorithms. The result of CIBERSORT algorithm illustrated a remarkable difference of immune cells in HC and DN group, and the diagnostic feature biomarkers were closely associated with immune cells. CONCLUSION ADI1, PTGS2, DGKH, and POLR2B were identified as diagnostic feature biomarkers for DN, and associated with the immune infiltration landscape, providing a novel perspective for the future research and clinical management for DN.
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Affiliation(s)
- Huangjie Zhang
- The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, China
| | - Jinguo Hu
- Department of Pharmacy, Hangzhou Traditional Chinese Medicine (TCM) Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, China
| | - Junfeng Zhu
- The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, China
| | - Qinglin Li
- The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, China
- *Correspondence: Qinglin Li, ; Luo Fang,
| | - Luo Fang
- The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, China
- *Correspondence: Qinglin Li, ; Luo Fang,
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OUP accepted manuscript. Hum Mol Genet 2022; 31:2194-2206. [DOI: 10.1093/hmg/ddac020] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 01/17/2022] [Accepted: 01/18/2022] [Indexed: 11/13/2022] Open
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21
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Jones AV, Curtiss D, Harris C, Southerington T, Hautalahti M, Wihuri P, Mäkelä J, Kallionpää RE, Makkonen E, Knopp T, Mannermaa A, Mäkinen E, Moilanen AM, Tezel TH, Waheed NK. An assessment of prevalence of Type 1 CFI rare variants in European AMD, and why lack of broader genetic data hinders development of new treatments and healthcare access. PLoS One 2022; 17:e0272260. [PMID: 36067162 PMCID: PMC9447915 DOI: 10.1371/journal.pone.0272260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 07/14/2022] [Indexed: 11/19/2022] Open
Abstract
PURPOSE Advanced age-related macular degeneration (AAMD) risk is associated with rare complement Factor I (FI) genetic variants associated with low FI protein levels (termed 'Type 1'), but it is unclear how variant prevalences differ between AMD patients from different ethnicities. METHODS Collective prevalence of Type 1 CFI rare variant genotypes were examined in four European AAMD datasets. Collective minor allele frequencies (MAFs) were sourced from the natural history study SCOPE, the UK Biobank, the International AMD Genomics Consortium (IAMDGC), and the Finnish Biobank Cooperative (FINBB), and compared to paired control MAFs or background population prevalence rates from the Genome Aggregation Database (gnomAD). Due to a lack of available genetic data in non-European AAMD, power calculations were undertaken to estimate the AAMD population sizes required to identify statistically significant association between Type 1 CFI rare variants and disease risk in different ethnicities, using gnomAD populations as controls. RESULTS Type 1 CFI rare variants were enriched in all European AAMD cohorts, with odds ratios (ORs) ranging between 3.1 and 7.8, and a greater enrichment was observed in dry AMD from FINBB (OR 8.9, 95% CI 1.49-53.31). The lack of available non-European AAMD datasets prevented us exploring this relationship more globally, however a statistical association may be detectable by future sequencing studies that sample approximately 2,000 AAMD individuals from Ashkenazi Jewish and Latino/Admixed American ethnicities. CONCLUSIONS The relationship between Type 1 CFI rare variants increasing odds of AAMD are well established in Europeans, however the lack of broader genetic data in AAMD has adverse implications for clinical development and future commercialisation strategies of targeted FI therapies in AAMD. These findings emphasise the importance of generating more diverse genetic data in AAMD to improve equity of access to new treatments and address the bias in health care.
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Affiliation(s)
- Amy V. Jones
- Gyroscope Therapeutics Limited, London, United Kingdom
| | - Darin Curtiss
- Gyroscope Therapeutics Limited, London, United Kingdom
| | - Claire Harris
- Gyroscope Therapeutics Limited, London, United Kingdom
| | - Tom Southerington
- Finnish Biobank Cooperative–FINBB, Turku, Finland
- University of Turku, Turku, Finland
| | | | - Pauli Wihuri
- Finnish Biobank Cooperative–FINBB, Turku, Finland
| | | | - Roosa E. Kallionpää
- Auria Biobank, Turku University Hospital and University of Turku, Turku, Finland
| | | | - Theresa Knopp
- Helsinki Biobank, HUS, Helsinki University Hospital, Helsinki, Finland
| | | | - Erna Mäkinen
- Biobank of Central Finland, Hospital Nova of Central Finland, Jyväskylä, Finland
| | - Anne-Mari Moilanen
- Biobank Borealis of Northern Finland, Oulu University Hospital, Oulu, Finland
| | - Tongalp H. Tezel
- Department of Ophthalmology, Edward S. Harkness Eye Institute, Columbia University College of Physicians and Surgeons, Columbia University Medical Center, New York, NY, United States of America
| | | | - Nadia K. Waheed
- Gyroscope Therapeutics Limited, London, United Kingdom
- Department of Ophthalmology, Tufts University School of Medicine, Boston, Massachusetts, United States of America
- * E-mail:
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Associations of Single-Nucleotide Polymorphisms in Slovenian Patients with Acute Central Serous Chorioretinopathy. Genes (Basel) 2021; 13:genes13010055. [PMID: 35052395 PMCID: PMC8774639 DOI: 10.3390/genes13010055] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 12/15/2021] [Accepted: 12/22/2021] [Indexed: 11/17/2022] Open
Abstract
Central serous chorioretinopathy (CSC) is a chorioretinal disease that usually affects the middle-aged population and is characterised by a thickened choroid, retinal pigment epithelium detachment, and subretinal fluid with a tendency towards spontaneous resolution. We investigated 13 single-nucleotide polymorphisms (SNPs) in 50 Slovenian acute CSC patients and 71 healthy controls in Complement Factor H (CFH), Nuclear Receptor Subfamily 3 Group C Member 2 (NR3C2), Cadherin 5 (CDH5) Age-Related Maculopathy Susceptibility 2 (ARMS2), TNF Receptor Superfamily Member 10a (TNFRSF10A), collagen IV alpha 3 (COL4A3) and collagen IV alpha 4 (COL4A4) genes using high-resolution melt analysis. Statistical calculations revealed significant differences in genotype frequencies for CFH rs1329428 (p = 0.042) between investigated groups and an increased risk for CSC in patients with TC (p = 0.040) and TT (p = 0.034) genotype. Genotype–phenotype correlation analysis revealed that CSC patients with CC genotype in CFH rs3753394 showed a higher tendency for spontaneous CSC episode resolution at 3 months from the disease onset (p = 0.0078), which could indicate clinical significance of SNP testing in CSC patients. Bioinformatics analysis of the non-coding polymorphisms showed alterations in transcription factor binding motifs for CFH rs3753394, CDH5 rs7499886 and TNFRSF10A rs13278062. No association of collagen IV polymorphisms with CSC was found in this study.
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Feng L, Chen S, Dai H, Dorajoo R, Liu J, Kong J, Yin X, Ren Y. Discovery of Novel Genetic Risk Loci for Acute Central Serous Chorioretinopathy and Genetic Pleiotropic Effect With Age-Related Macular Degeneration. Front Cell Dev Biol 2021; 9:696885. [PMID: 34490249 PMCID: PMC8417822 DOI: 10.3389/fcell.2021.696885] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2021] [Accepted: 07/29/2021] [Indexed: 12/27/2022] Open
Abstract
Background Central serous chorioretinopathy (CSC) is a severe and heterogeneous chorioretinal disorder. Shared clinical manifestations between CSC and age-related macular degeneration (AMD) and the confirmation of CFH as genetic risk locus for both CSC and AMD suggest possible common pathophysiologic mechanisms between two diseases. Methods To advance the understanding of genetic susceptibility of CSC and further investigate genetic pleiotropy between CSC and AMD, we performed genetic association analysis of 38 AMD-associated single nucleotide polymorphisms (SNPs) in a Chinese CSC cohort, consisting of 464 patients and 548 matched healthy controls. Results Twelve SNPs were found to be associated with CSC at nominal significance (p < 0.05), and four SNPs on chromosomes 1, 4, and 15 showed strong associations whose evidences surpassed Bonferroni (BF)-corrected significance [rs1410996, odds ratios (OR) = 1.47, p = 2.37 × 10-5; rs1329428, OR = 1.40, p = 3.32 × 10-4; rs4698775, OR = 1.45, p = 2.20 × 10-4; and rs2043085, OR = 1.44, p = 1.91 × 10-4]. While the genetic risk effects of rs1410996 and rs1329428 (within the well-established locus CFH) are correlated (due to high LD), rs4698775 on chromosome 4 and rs2043085 on chromosome 15 are novel risk loci for CSC. Polygenetic risk score (PRS) constructed by using three independent SNPs (rs1410996, rs4698775, and rs2043085) showed highly significant association with CSC (p = 2.10 × 10-7), with the top 10% of subjects with high PRS showing 6.39 times higher risk than the bottom 10% of subjects with lowest PRS. Three SNPs were also found to be associated with clinic manifestations of CSC patients. In addition, by comparing the genetic effects (ORs) of these 38 SNPs between CSC and AMD, our study revealed significant, but complex genetic pleiotropic effect between the two diseases. Conclusion By discovering two novel genetic risk loci and revealing significant genetic pleiotropic effect between CSC and AMD, the current study has provided novel insights into the role of genetic composition in the pathogenesis of CSC.
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Affiliation(s)
- Lei Feng
- Eye Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Si Chen
- Eye Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.,Department of Ophthalmology, Jinshan Branch of Shanghai Sixth People's Hospital, Shanghai, China
| | - Huatuo Dai
- Department of Dermatology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China.,Department of Dermatology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Rajkumar Dorajoo
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore
| | - Jianjun Liu
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore.,Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Jinfeng Kong
- Eye Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Xianyong Yin
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, United States
| | - Yunqing Ren
- Department of Dermatology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China.,Department of Dermatology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
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24
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Yuan J, Chen F, Fan D, Jiang Q, Xue Z, Zhang J, Yu X, Li K, Qu J, Su J. EyeDiseases: an integrated resource for dedicating to genetic variants, gene expression and epigenetic factors of human eye diseases. NAR Genom Bioinform 2021; 3:lqab050. [PMID: 34085038 PMCID: PMC8168129 DOI: 10.1093/nargab/lqab050] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Revised: 04/22/2021] [Accepted: 05/19/2021] [Indexed: 02/06/2023] Open
Abstract
Eye diseases are remarkably common and encompass a large and diverse range of morbidities that affect different components of the visual system and visual function. With advances in omics technology of eye disorders, genome-scale datasets have been rapidly accumulated in genetics and epigenetics field. However, the efficient collection and comprehensive analysis of different kinds of omics data are lacking. Herein, we developed EyeDiseases (https://eyediseases.bio-data.cn/), the first database for multi-omics data integration and interpretation of human eyes diseases. It contains 1344 disease-associated genes with genetic variation, 1774 transcription files of bulk cell expression and single-cell RNA-seq, 105 epigenomics data across 185 kinds of human eye diseases. Using EyeDiseases, we investigated SARS-CoV-2 potential tropism in eye infection and found that the SARS-CoV-2 entry factors, ACE2 and TMPRSS2 are highly correlated with cornea and keratoconus, suggest that ocular surface cells are susceptible to infection by SARS-CoV-2. Additionally, integrating analysis of Age-related macular degeneration (AMD) GWAS loci and co-expression data revealed 9 associated genes involved in HIF-1 signaling pathway and voltage-gate potassium channel complex. The EyeDiseases provides a valuable resource for accelerating the discovery and validation of candidate loci and genes contributed to the molecular diagnosis and therapeutic vulnerabilities with various eyes diseases.
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Affiliation(s)
- Jian Yuan
- School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
- National Clinical Research Center for Ocular Disease, Wenzhou 325027, China
- Institute of Biomedical Big Data, Wenzhou Medical University, Wenzhou 325027, China
| | - Fukun Chen
- School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
- National Clinical Research Center for Ocular Disease, Wenzhou 325027, China
- Institute of Biomedical Big Data, Wenzhou Medical University, Wenzhou 325027, China
| | - Dandan Fan
- School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
- National Clinical Research Center for Ocular Disease, Wenzhou 325027, China
- Institute of Biomedical Big Data, Wenzhou Medical University, Wenzhou 325027, China
| | - Qi Jiang
- School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
- National Clinical Research Center for Ocular Disease, Wenzhou 325027, China
- Institute of Biomedical Big Data, Wenzhou Medical University, Wenzhou 325027, China
| | - Zhengbo Xue
- School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
- National Clinical Research Center for Ocular Disease, Wenzhou 325027, China
- Institute of Biomedical Big Data, Wenzhou Medical University, Wenzhou 325027, China
| | - Ji Zhang
- School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
- National Clinical Research Center for Ocular Disease, Wenzhou 325027, China
- Institute of Biomedical Big Data, Wenzhou Medical University, Wenzhou 325027, China
| | - Xiangyi Yu
- School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
- National Clinical Research Center for Ocular Disease, Wenzhou 325027, China
- Institute of Biomedical Big Data, Wenzhou Medical University, Wenzhou 325027, China
| | - Kai Li
- Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou 325011, Zhejiang, China
| | - Jia Qu
- School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
- National Clinical Research Center for Ocular Disease, Wenzhou 325027, China
| | - Jianzhong Su
- School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
- National Clinical Research Center for Ocular Disease, Wenzhou 325027, China
- Institute of Biomedical Big Data, Wenzhou Medical University, Wenzhou 325027, China
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25
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Yang J, Wang D, Yang Y, Yang W, Jin W, Niu X, Gong J. A systematic comparison of normalization methods for eQTL analysis. Brief Bioinform 2021; 22:6278608. [PMID: 34015824 DOI: 10.1093/bib/bbab193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Revised: 04/14/2021] [Accepted: 04/28/2021] [Indexed: 11/15/2022] Open
Abstract
Expression quantitative trait loci (eQTL) analysis has been widely used in interpreting disease-associated loci through correlating genetic variant loci with the expression of specific genes. RNA-sequencing (RNA-Seq), which can quantify gene expression at the genome-wide level, is often used in eQTL identification. Since different normalization methods of gene expression have substantial impacts on RNA-seq downstream analysis, it is of great necessity to systematically compare the effects of these methods on eQTL identification. Here, by using RNA-seq and genotype data of four different cancers in The Cancer Genome Atlas (TCGA) database, we comprehensively evaluated the effect of eight commonly used normalization methods on eQTL identification. Our results showed that the application of different methods could cause 20-30% differences in the final results of eQTL identification. Among these methods, COUNT, Median of Ratio (MED) and Trimmed Mean of M-values (TMM) generated similar results for identifying eQTLs, while Fragments Per Kilobase Million (FPKM) or RANK produced more differential results compared with other methods. Based on the accuracy and receiver operating characteristic (ROC) curve, the TMM method was found to be the optimal method for normalizing gene expression data in eQTLs analysis. In addition, we also evaluated the performance of different pairwise combinations of these methods. As a result, compared with single normalization methods, the combination of methods can not only identify more cis-eQTLs, but also improve the performance of the ROC curve. Overall, this study provides a comprehensive comparison of normalization methods for identifying eQTLs from RNA-seq data, and proposes some practical recommendations for diverse scenarios.
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Affiliation(s)
- Jiajun Yang
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, P. R. China
| | - Dongyang Wang
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, P. R. China
| | - Yanbo Yang
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, P. R. China
| | - Wenqian Yang
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, P. R. China
| | - Weiwei Jin
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, P. R. China
| | - Xiaohui Niu
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, P. R. China
| | - Jing Gong
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, P. R. China.,College of Biomedicine and Health, Huazhong Agricultural University, Wuhan 430070, P. R. China
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26
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Complement family member CFI polymorphisms and AMD susceptibility from a comprehensive analysis. Biosci Rep 2021; 40:222471. [PMID: 32215612 PMCID: PMC7146047 DOI: 10.1042/bsr20200406] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Revised: 03/24/2020] [Accepted: 03/25/2020] [Indexed: 02/06/2023] Open
Abstract
The complement factor I (CFI) gene polymorphisms have been reported to age-related macular degenerative (AMD) risk, nevertheless, above association is not consistent. We investigated a meta-analysis to evaluate the conclusions between CFI polymorphisms (rs10033900 and rs2285714) and AMD risk. An identification was covered with the PubMed and other databases through February 8, 2020. Odds ratios (OR) and 95% confidence intervals (CI) were used to assess the strength of associations. After a comprehensive search, 11 different articles (12 case–control studies for total AMD and 11 case–control studies about neovascular disease/geographic atrophy in AMD) were retrieved. Individuals carrying C-allele or CC genotype of rs10033900 polymorphism may have a decreased risk to be AMD disease. For example, there has a significantly decreased relationship between rs10033900 polymorphism and AMD both in the whole group, Caucasian population and population-based source of control. Moreover, a similar trend in subgroup of genotype method group by MALDI-TOF MS was detected. To classify the type of AMD in further, decreased association was also observed in both neovascular disease and geographic atrophy AMD. No association was found about rs2285714 polymorphism. Our present groundbreaking study suggests that the CFI rs10033900 polymorphism is potentially associated with the risk of AMD development.
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27
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Yamashiro K, Hosoda Y, Miyake M, Takahashi A, Ooto S, Tsujikawa A. Hypothetical pathogenesis of age-related macular degeneration and pachychoroid diseases derived from their genetic characteristics. Jpn J Ophthalmol 2020; 64:555-567. [PMID: 33006732 DOI: 10.1007/s10384-020-00773-w] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Accepted: 05/16/2020] [Indexed: 12/20/2022]
Abstract
Genetic studies have investigated the pathogenesis of age-related macular degeneration (AMD). The pachychoroid concept has recently garnered attention as a possible explanation for AMD pathogenesis; the genetic characteristics of pachychoroid diseases have also been elucidated. In this review, we summarize previously reported genetic characteristics of AMD and pachychoroid diseases, and analyze these data to understand the pathogenesis of AMD and pachychoroid diseases. Previous studies show that VIPR2 and the CFH I62V A allele promote development of pachychoroid and central serous chorioretinopathy (CSC), while the CFH I62V G allele promotes development of drusen, pachychoroid neovasculopathy (PCN/PNV), and AMD. ARMS2/HTRA1 also promotes development of drusen, PCN/PNV, and AMD. TNFRSF10A and GATA5 are associated with CSC but not with pachychoroid, and TNFRSF10A is associated with AMD that includes PCN/PNV. These genetic characteristics suggest the following mechanisms of developing AMD and pachychoroid diseases. VIPR2 and the CFH I62V A allele promote pachychoroid development, which can result in CSC development. The CFH I62V G allele promotes a common step during PCN/PNV and AMD development induced by pachychoroid or drusen, such as damage of Bruch's membrane or retinal pigment epithelium (RPE). ARMS2/HTRA1 also promotes damage of Bruch's membrane or RPE, while the association with drusen formation is stronger in ARMS2/HTRA1 than in CFH. TNFRSF10A and GATA5 promote blood-retinal-barrier breakdown to induce CSC, which could lead to PCN/PNV development. Furthermore, recently reported genetic associations with the natural course of CSC suggest the importance of reconsidering the subtype classification of CSC. These associations would enable the development of personalized/precision medicine for CSC and.
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Affiliation(s)
- Kenji Yamashiro
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, 54 Kawahara, Shogoin, Sakyo, Kyoto, 606-8507, Japan.
- Department of Ophthalmology, Japanese Red Cross Otsu Hospital, Otsu, Japan.
| | - Yoshikatsu Hosoda
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, 54 Kawahara, Shogoin, Sakyo, Kyoto, 606-8507, Japan
| | - Masahiro Miyake
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, 54 Kawahara, Shogoin, Sakyo, Kyoto, 606-8507, Japan
| | - Ayako Takahashi
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, 54 Kawahara, Shogoin, Sakyo, Kyoto, 606-8507, Japan
| | - Sotaro Ooto
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, 54 Kawahara, Shogoin, Sakyo, Kyoto, 606-8507, Japan
| | - Akitaka Tsujikawa
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, 54 Kawahara, Shogoin, Sakyo, Kyoto, 606-8507, Japan
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28
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Tagawa M, Ooto S, Yamashiro K, Tamura H, Oishi A, Miyata M, Hata M, Yoshikawa M, Yoshimura N, Tsujikawa A. Characteristics of pachychoroid neovasculopathy. Sci Rep 2020; 10:16248. [PMID: 33004959 PMCID: PMC7530669 DOI: 10.1038/s41598-020-73303-w] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2018] [Accepted: 09/14/2020] [Indexed: 12/21/2022] Open
Abstract
Recently, several research groups have reported a newly recognized clinical entity of choroidal neovascularization, termed pachychoroid neovasculopathy. However, its characteristics have yet to be well described. The purpose of this study was to investigate the clinical and genetic characteristics of pachychoroid neovasculopathy regardless of treatment modality. This study included 99 eyes of 99 patients with treatment-naïve pachychoroid neovasculopathy. Mean initial best-corrected visual acuity (BCVA) was 0.20 ± 0.32 logMAR, and did not change (P = 0.725) during follow-up period (mean ± SD, 37.0 ± 17.6 months). Subretinal hemorrhage (SRH) (≥ 4 disc areas in size) occurred in 20 eyes (20.2%) during follow-up. Age, initial BCVA, central retinal thickness, SRH (≥ 4 disc areas in size) and treatment (aflibercept monotherapy) were significantly associated with the final BCVA (P = 0.024, < 0.001, 0.031, < 0.001, and 0.029, respectively). Multiple regression analysis showed initial BCVA and presence of SRH to be significant predictors of final BCVA (both P < 0.001). Polypoidal lesions were more common in the SRH group than in the non-SRH group (85.0% vs 48.1%, P = 0.004). There was no significant difference in the frequency of the risk allele in ARMS2 A69S, CFH I62V, CFH Y402H between these groups (P = 0.42, 0.77, and 0.85, respectively). SRH (29.1% vs 9.1%, P = 0.014) and choroidal vascular hyperpermiability (65.5% vs 43.2%, P = 0.027) were seen more frequently in the polypoidal lesion (+) group than in the polypoidal lesion (−) group. There was considerable variation in lesion size and visual function in patients with pachychoroid neovasculopathy, and initial BCVA and presence of SRH at the initial visit or during the follow-up period were significant predictors of final BCVA.
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Affiliation(s)
- Miho Tagawa
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, 54 Kawahara-cho Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Sotaro Ooto
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, 54 Kawahara-cho Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan.
| | - Kenji Yamashiro
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, 54 Kawahara-cho Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Hiroshi Tamura
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, 54 Kawahara-cho Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Akio Oishi
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, 54 Kawahara-cho Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Manabu Miyata
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, 54 Kawahara-cho Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Masayuki Hata
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, 54 Kawahara-cho Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Munemitsu Yoshikawa
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, 54 Kawahara-cho Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Nagahisa Yoshimura
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, 54 Kawahara-cho Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Akitaka Tsujikawa
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, 54 Kawahara-cho Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
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29
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Sasaki M, Miyake M, Fujiwara K, Nanba H, Akiyama M, Yanagi Y, Harada S, Tabara Y, Yasuda M, Yamashita H, Kayama T, Tsubota K, Matsuda F, Hashimoto S, Ueda E, Ninomiya T, Takebayashi T, Tsujikawa A, Sonoda KH, Kawasaki R. Cohort Profile: The Ganka-Ekigaku Network (GEN), a Network of Japanese Ophthalmological Epidemiology Studies. Ophthalmic Epidemiol 2020; 28:237-243. [PMID: 32924732 DOI: 10.1080/09286586.2020.1815803] [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: 10/23/2022]
Abstract
PURPOSE Japan has been known as a super-aged society, and ageing is a well-known risk factor for blinding eye diseases. However, epidemiological studies in ophthalmology are still scarce in Japan, and the sizes of the cohorts are relatively small. "Ganka-Ekigaku Network" (GEN, an acronym for the epidemiological network in ophthalmology in Japanese) is established to develop a capacity to boost each epidemiological study and enrich a potential inter-study collaboration to identify risk factors of visual impairment in aged society. METHODS We reviewed cohort studies in Japan with the inclusion criteria as: (1) at least n = 1000 at baseline, (2) multiple modalities of ophthalmic data, and (3) diagnosis reviewed by ophthalmologist(s), and (4) ophthalmologists are involved in the investigators group. As of January 2020, GEN includes 4 individual Japanese epidemiological studies namely, Hisayama study, Yamagata Study (Funagata), Tsuruoka Metabolomics Cohort study, and the Nagahama Prospective Genome Cohort for Comprehensive Human Bioscience. RESULTS GEN includes approximately 25,000 Japanese participants. The baseline surveys started from 1998 to 2012, and since then the data has been prospectively collected approximately every 5 years. A variety of ophthalmic measurements and other factors have been collected in each study in GEN: ophthalmic measurements (fundus photography, optical coherence tomography, etc.), systemic conditions (laboratory data, etc.), and others (DNA, etc.). CONCLUSION GEN is an open platform for observational ophthalmic epidemiological studies to share standardized methodologies. While each study in GEN pursues specific and original research questions, standardization of the methods will enable us to conduct reliable meta-analysis/pooled data analyses.
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Affiliation(s)
- Mariko Sasaki
- Department of Ophthalmology, Keio University School of Medicine, Tokyo, Japan.,Department of Ophthalmology, Tachikawa Hospital, Tokyo, Japan.,National Institute of Sensory Organs, National Tokyo Medical Center, Tokyo, Japan
| | - Masahiro Miyake
- Department of Ophthalmology, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Kohta Fujiwara
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Department of Ophthalmology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Hiroyuki Nanba
- Department of Ophthalmology and Visual Sciences, Yamagata University Faculty of Medicine, Yamagata, Japan
| | - Masato Akiyama
- Department of Ophthalmology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Department of Ocular Pathology and Imaging Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yasuo Yanagi
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.,Department of Ophthalmology, Asahikawa Medical University, Asahikawa, Japan
| | - Sei Harada
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
| | - Yasuharu Tabara
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Miho Yasuda
- Department of Ophthalmology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Hidetoshi Yamashita
- Department of Ophthalmology and Visual Sciences, Yamagata University Faculty of Medicine, Yamagata, Japan
| | - Takamasa Kayama
- Department of Advanced Medicine, Yamagata University Faculty of Medicine, Yamagata, Japan
| | - Kazuo Tsubota
- Department of Ophthalmology, Keio University School of Medicine, Tokyo, Japan
| | - Fumihiko Matsuda
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Sawako Hashimoto
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Department of Ophthalmology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Emi Ueda
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Department of Ophthalmology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Toru Takebayashi
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
| | - Akitaka Tsujikawa
- Department of Ophthalmology, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Koh-Hei Sonoda
- Department of Ophthalmology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Ryo Kawasaki
- Department of Vision Informatics, Osaka University Graduate School of Medicine, Osaka, Japan
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30
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Chen CZ, Wen JL, Lin BY, Zheng C, Quan RD, Zhang XH, Qu JM. LOC389641 promotes papillary thyroid cancer progression by regulating the EMT pathway. Biomark Med 2020; 14:969-980. [PMID: 32940082 DOI: 10.2217/bmm-2020-0080] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2020] [Accepted: 05/12/2020] [Indexed: 12/19/2022] Open
Abstract
Aim: Thyroid cancer (TC) is one of the most common types of endocrine malignancy and poses a significant challenge to human health. The long noncoding RNA 389641 (LOC389641) has been found to be associated with many types of cancer. However, the function of LOC389641 in papillary TC (PTC) remains unknown. Our aim is to explore LOC389641 expression and its role in TC. Materials & methods: The function of LOC389641 was determined by colony formation, migration and invasion assays in PTC. Western blot assays were performed to determine the biomarker of epithelial-mesenchymal transition. Results: In this study, we show that LOC389641 is involved in PTC, which suggests that it may be a target for TC therapies.
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Affiliation(s)
- Cheng-Ze Chen
- Department of Thyroid & Breast Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, PR China
| | - Jia-Liang Wen
- Department of Thyroid & Breast Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, PR China
| | - Bang-Yi Lin
- Department of Thyroid & Breast Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, PR China
| | - Chen Zheng
- Department of Thyroid & Breast Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, PR China
| | - Rui-da Quan
- Department of Thyroid & Breast Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, PR China
| | - Xiao-Hua Zhang
- Department of Thyroid & Breast Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, PR China
| | - Jin-Miao Qu
- Department of Thyroid & Breast Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, PR China
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31
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Yamashiro K, Hosoda Y, Miyake M, Ooto S, Tsujikawa A. Characteristics of Pachychoroid Diseases and Age-Related Macular Degeneration: Multimodal Imaging and Genetic Backgrounds. J Clin Med 2020; 9:jcm9072034. [PMID: 32610483 PMCID: PMC7409179 DOI: 10.3390/jcm9072034] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 06/18/2020] [Accepted: 06/26/2020] [Indexed: 02/07/2023] Open
Abstract
The emergence of pachychoroid disease is changing the concept of age-related macular degeneration (AMD). The concept of pachychoroid diseases was developed through clinical observation of multimodal images of eyes with AMD and central serous chorioretinopathy; however, recent genetic studies have provided a proof of concept for pachychoroid spectrum disease, which should be differentiated from drusen-driven AMD. The genetic confirmation of pachychoroid concept further provides novel viewpoints to decode previously reported findings, which facilitates an understanding of the true nature of pachychoroid diseases and AMD. The purpose of this review was to elucidate the relationship between pachychoroid diseases and AMD by interpreting previous findings on pachychoroid diseases and AMD from the novel viewpoints of genetic associations. We confirmed that previous genetic studies supported the concept of pachychoroid diseases. From a genetic viewpoint, the presence of thick choroid and the presence of choroidal vascular hyperpermeability were important characteristics of pachychoroid spectrum diseases. Previous studies have also suggested the classification of polypoidal choroidal vasculopathy (PCV) into two subtypes, pachychoroid neovasculopathy and drusen-driven PCV. Genetic viewpoints will be beneficial to rearrange subtypes of drusen-driven AMD and pachychoroid spectrum diseases. Further genetic studies are needed to investigate pachyvessels, pachydrusen and the significance of polypoidal lesions in pachychoroid neovasculopathy and drusen-driven AMD/PCV.
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Affiliation(s)
- Kenji Yamashiro
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto 606-8507, Japan; (Y.H.); (M.M.); (S.O.); (A.T.)
- Department of Ophthalmology, Japanese Red Cross Otsu Hospital, Otsu 520-8511, Japan
- Correspondence: ; Tel.: +81-75-751-3248; Fax: +81-75-752-0933
| | - Yoshikatsu Hosoda
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto 606-8507, Japan; (Y.H.); (M.M.); (S.O.); (A.T.)
| | - Masahiro Miyake
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto 606-8507, Japan; (Y.H.); (M.M.); (S.O.); (A.T.)
| | - Sotaro Ooto
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto 606-8507, Japan; (Y.H.); (M.M.); (S.O.); (A.T.)
| | - Akitaka Tsujikawa
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto 606-8507, Japan; (Y.H.); (M.M.); (S.O.); (A.T.)
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Liu Y, Jin H, Wei D, Li W. HTRA1 rs11200638 variant and AMD risk from a comprehensive analysis about 15,316 subjects. BMC MEDICAL GENETICS 2020; 21:107. [PMID: 32414342 PMCID: PMC7229611 DOI: 10.1186/s12881-020-01047-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Accepted: 05/10/2020] [Indexed: 01/02/2023]
Abstract
BACKGROUND The high-temperature requirement factor A1 (HTRA1) gene located at 10q26 locus has been associated with age-related macular degenerative (AMD), with the significantly related polymorphism being (rs11200638, -625G/A), however, above association is not consistent. We investigated a comprehensive analysis to evaluate the correlations between rs11200638 polymorphism and AMD susceptibility thoroughly addressing this issue. METHODS An identification was covered from the PubMed and Wanfang databases until 27th Jan, 2020. Odds ratios (OR) with 95% confidence intervals (CI) were applied to evaluate the associations. After a thorough and meticulous search, 35 different articles (33 case-control studies with HWE, 22 case-control studies about wet/dry AMD) were retrieved. RESULTS Individuals carrying A-allele or AA genotype may have an increased risk to be AMD disease. For example, there has a significantly increased relationship between rs11200638 polymorphism and AMD both for Asians (OR: 2.51, 95%CI: 2.22-2.83 for allelic contrast) and Caucasians [OR (95%CI) = 2.63(2.29-3.02) for allelic contrast]. Moreover, a similar trend in the source of control was detected. To classify the type of AMD, increased association was also observed in both wet (OR: 3.40, 95%CI: 2.90-3.99 for dominant model) and dry (OR: 2.08, 95%CI: 1.24-3.48 for dominant model) AMD. Finally, based on the different genotyping methods, increased relationships were identified by sequencing, TaqMan, PCR-RFLP and RT-PCR. CONCLUSIONS Our meta-analysis demonstrated that HTRA1 rs11200638 polymorphism may be related to the AMD development, especially about individuals carrying A-allele or AA genotype, who may be as identified targets to detect and intervene in advance. Further studies using Larger sample size studies, including information about gene-environment interactions will be necessary to carry out.
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Affiliation(s)
- Ying Liu
- Ophthalmic function room, Hongqi Hospital Affiliated to Mudanjiang Medical College, Mudanjiang, 157000, Heilongjiang Province, China
| | - Huipeng Jin
- Ophthalmic function room, Hongqi Hospital Affiliated to Mudanjiang Medical College, Mudanjiang, 157000, Heilongjiang Province, China
| | - Dong Wei
- Department of Ophthalmology (three disease areas), Hongqi Hospital Affiliated to Mudanjiang Medical College, Mudanjiang, 157000, Heilongjiang Province, China.
| | - Wenxiu Li
- Department of Critical Medicine, Second People's Hospital of Mudanjiang, Mudanjiang, 157000, Heilongjiang Province, China
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Licher S, van der Willik KD, Vinke EJ, Yilmaz P, Fani L, Schagen SB, Ikram MA, Ikram MK. Alzheimer's disease as a multistage process: an analysis from a population-based cohort study. Aging (Albany NY) 2020; 11:1163-1176. [PMID: 30811346 PMCID: PMC6402512 DOI: 10.18632/aging.101816] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Accepted: 02/01/2019] [Indexed: 12/24/2022]
Abstract
In cancer research, multistage models are used to assess the multistep process that leads to the onset of cancer. In view of biological and clinical similarities between cancer and dementia, we used these models to study Alzheimer’s disease (AD). From the population-based Rotterdam Study, we included 9,362 non-demented participants, of whom 1,124 developed AD during up to 26 years of follow-up. Under a multistage model, we regressed the logarithm of AD incidence rate against the logarithm of five-year age categories. The slope in this model reflects the number of steps (n–1) required for disease onset before the final step leading to disease manifestation. A linear relationship between log incidence rate and log age was observed, with a slope of 12.82 (95% confidence interval: 9.01-16.62), equivalent to 14 steps. We observed fewer steps for those at high genetically determined risk: 12 steps for APOE-ε4 carriers, and 10 steps for those at highest genetic risk based on APOE and a genetic risk score. The pathogenesis of AD complies with a multistage disease-model, requiring 14 steps before disease manifestation. Genetically predisposed individuals require fewer steps indicating that they already inherited multiple of these steps. Unravelling these steps in AD pathogenesis could benefit the development of intervention strategies.
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Affiliation(s)
- Silvan Licher
- Department of Epidemiology, Erasmus MC - University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Kimberly D van der Willik
- Department of Epidemiology, Erasmus MC - University Medical Center Rotterdam, Rotterdam, the Netherlands.,Department of Psychosocial Research and Epidemiology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Elisabeth J Vinke
- Department of Epidemiology, Erasmus MC - University Medical Center Rotterdam, Rotterdam, the Netherlands.,Department of Radiology and Nuclear Medicine, Erasmus MC - University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Pinar Yilmaz
- Department of Epidemiology, Erasmus MC - University Medical Center Rotterdam, Rotterdam, the Netherlands.,Department of Radiology and Nuclear Medicine, Erasmus MC - University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Lana Fani
- Department of Epidemiology, Erasmus MC - University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Sanne B Schagen
- Department of Psychosocial Research and Epidemiology, Netherlands Cancer Institute, Amsterdam, the Netherlands.,Department of Psychology, University of Amsterdam, Amsterdam, the Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC - University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - M Kamran Ikram
- Department of Epidemiology, Erasmus MC - University Medical Center Rotterdam, Rotterdam, the Netherlands.,Department of Neurology, Erasmus MC - University Medical Center Rotterdam, Rotterdam, the Netherlands
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Chen LJ. Genetic Association of Age-Related Macular Degeneration and Polypoidal Choroidal Vasculopathy. Asia Pac J Ophthalmol (Phila) 2020; 9:104-109. [PMID: 32195675 DOI: 10.1097/01.apo.0000656976.47696.7d] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Age-related macular degeneration (AMD) and polypoidal choroidal vasculopathy (PCV) are leading causes of irreversible blindness among the elderly population in developed countries. Although being considered as different subtypes of a same disease, neovascular AMD and PCV have differences in clinical, epidemiological, therapeutic, and genetic profiles. Both AMD and PCV are complex diseases involving multiple genetic and environmental risk factors. Different genetic strategies have been adopted to discover associated genes and variants for neovascular AMD and PCV, including genome-wide association study (GWAS), next-generation sequencing (NGS) based sequence analysis, and candidate gene analyses. So far, a number of susceptible genes have been identified for AMD and/or PCV, such as CFH, ARMS2-HTRA1, C2-CFB-SKIV2L, C3, CETP, and FGD6. Although many of these genes are shared by AMD and PCV, some showed difference between them, such as ARMS2-HTRA1 and FGD6. Also, some of the genes showed ethnic diversities, such as the CFH p.Tyr402His variant. Further larger-scale genomic studies should be warranted to identify more susceptibility genes for AMD and, in particular, PCV among different populations, and differentiate the genetic architectures between neovascular AMD and PCV.
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Affiliation(s)
- Li Jia Chen
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, China
- Department of Ophthalmology and Visual Sciences, Prince of Wales Hospital Eye Center, Hong Kong, China
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35
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Chen Y, Paluch M, Zorn JA, Rajan S, Leonard B, Estevez A, Brady J, Chiu H, Phung W, Famili A, Yan M, Ciferri C, Matsumoto ML, Lazar GA, Crowell S, Hass P, Agard NJ. Targeted IgMs agonize ocular targets with extended vitreal exposure. MAbs 2020; 12:1818436. [PMID: 32936727 PMCID: PMC7577241 DOI: 10.1080/19420862.2020.1818436] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 08/20/2020] [Accepted: 08/29/2020] [Indexed: 01/02/2023] Open
Abstract
Treatment of ocular disease is hindered by the presence of the blood-retinal barrier, which restricts access of systemic drugs to the eye. Intravitreal injections bypass this barrier, delivering high concentrations of drug to the targeted tissue. However, the recommended dosing interval for approved biologics is typically 6-12 weeks, and frequent travel to the physician's office poses a substantial burden for elderly patients with poor vision. Real-world data suggest that many patients are under-treated. Here, we investigate IgMs as a novel platform for treating ocular disease. We show that IgMs are well-suited to ocular administration due to moderate viscosity, long ocular exposure, and rapid systemic clearance. The complement-dependent cytotoxicity of IgMs can be readily removed with a P436G mutation, reducing safety liabilities. Furthermore, dodecavalent binding of IgM hexamers can potently activate pathways implicated in the treatment of progressive blindness, including the Tie2 receptor tyrosine kinase signaling pathway for the treatment of diabetic macular edema, or the death receptor 4 tumor necrosis family receptor pathway for the treatment of wet age-related macular degeneration. Collectively, these data demonstrate the promise of IgMs as therapeutic agonists for treating progressive blindness.
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Affiliation(s)
- Yvonne Chen
- Departments of Antibody Engineering, Genentech Inc., South San Francisco, CA, USA
| | - Maciej Paluch
- Departments of Protein Chemistry, Genentech Inc., South San Francisco, CA, USA
| | - Julie A. Zorn
- Departments of Structural Biology, Genentech Inc., South San Francisco, CA, USA
| | - Sharmila Rajan
- Departments of Preclinical & Translational Pharmacokinetics and Pharmacodynamics, Genentech Inc., South San Francisco, CA, USA
| | - Brandon Leonard
- Departments of Antibody Engineering, Genentech Inc., South San Francisco, CA, USA
| | - Alberto Estevez
- Departments of Structural Biology, Genentech Inc., South San Francisco, CA, USA
| | - John Brady
- Departments of Molecular Oncology, Genentech Inc., South San Francisco, CA, USA
| | - Henry Chiu
- Departments of Biochemical and Cellular Physiology, Genentech Inc., South San Francisco, CA, USA
| | - Wilson Phung
- Departments of Microchemistry Proteomics and Lipidomics, Genentech Inc., South San Francisco, CA, USA
| | - Amin Famili
- Departments of Drug Development, Genentech Inc., South San Francisco, CA, USA
| | - Minhong Yan
- Departments of Molecular Oncology, Genentech Inc., South San Francisco, CA, USA
| | - Claudio Ciferri
- Departments of Structural Biology, Genentech Inc., South San Francisco, CA, USA
| | | | - Greg A. Lazar
- Departments of Antibody Engineering, Genentech Inc., South San Francisco, CA, USA
| | - Susan Crowell
- Departments of Preclinical & Translational Pharmacokinetics and Pharmacodynamics, Genentech Inc., South San Francisco, CA, USA
| | - Phil Hass
- Departments of Protein Chemistry, Genentech Inc., South San Francisco, CA, USA
| | - Nicholas J. Agard
- Departments of Antibody Engineering, Genentech Inc., South San Francisco, CA, USA
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Hosoda Y, Miyake M, Schellevis RL, Boon CJF, Hoyng CB, Miki A, Meguro A, Sakurada Y, Yoneyama S, Takasago Y, Hata M, Muraoka Y, Nakanishi H, Oishi A, Ooto S, Tamura H, Uji A, Miyata M, Takahashi A, Ueda-Arakawa N, Tajima A, Sato T, Mizuki N, Shiragami C, Iida T, Khor CC, Wong TY, Yamada R, Honda S, de Jong EK, Hollander AID, Matsuda F, Yamashiro K, Tsujikawa A. Genome-wide association analyses identify two susceptibility loci for pachychoroid disease central serous chorioretinopathy. Commun Biol 2019; 2:468. [PMID: 31872073 PMCID: PMC6908630 DOI: 10.1038/s42003-019-0712-z] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Accepted: 11/26/2019] [Indexed: 11/09/2022] Open
Abstract
The recently emerged pachychoroid concept has changed the understanding of age-related macular degeneration (AMD), which is a major cause of blindness; recent studies attributed AMD in part to pachychoroid disease central serous chorioretinopathy (CSC), suggesting the importance of elucidating the CSC pathogenesis. Our large genome-wide association study followed by validation studies in three independent Japanese and European cohorts, consisting of 1546 CSC samples and 13,029 controls, identified two novel CSC susceptibility loci: TNFRSF10A-LOC389641 and near GATA5 (rs13278062, odds ratio = 1.35, P = 1.26 × 10-13; rs6061548, odds ratio = 1.63, P = 5.36 × 10-15). A T allele at TNFRSF10A-LOC389641 rs13278062, a risk allele for CSC, is known to be a risk allele for AMD. This study not only identified new susceptibility genes for CSC, but also improves the understanding of the pathogenesis of AMD.
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Affiliation(s)
- Yoshikatsu Hosoda
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Masahiro Miyake
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Rosa L. Schellevis
- Department of Ophthalmology, Donders Institute of Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Camiel J. F. Boon
- Department of Ophthalmology, Leiden University Medical Center, Leiden, The Netherlands
| | - Carel B. Hoyng
- Department of Ophthalmology, Donders Institute of Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Akiko Miki
- Department of Surgery, Division of Ophthalmology, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Akira Meguro
- Department of Ophthalmology and Visual Sciences, Yokohama City University School of Medicine, Yokohama, Japan
| | - Yoichi Sakurada
- Department of Ophthalmology, University of Yamanashi, Faculty of Medicine, Yamanashi, Japan
| | - Seigo Yoneyama
- Department of Ophthalmology, University of Yamanashi, Faculty of Medicine, Yamanashi, Japan
| | - Yukari Takasago
- Department of Ophthalmology, Kagawa University Faculty of Medicine, Kagawa, Japan
| | - Masayuki Hata
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Yuki Muraoka
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Hideo Nakanishi
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Akio Oishi
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Sotaro Ooto
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Hiroshi Tamura
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Akihito Uji
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Manabu Miyata
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Ayako Takahashi
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Naoko Ueda-Arakawa
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Atsushi Tajima
- Department of Bioinformatics and Genomics, Graduate School of Advanced Preventive Medical Sciences, Kanazawa University, Kanazawa, Ishikawa Japan
| | - Takehiro Sato
- Department of Bioinformatics and Genomics, Graduate School of Advanced Preventive Medical Sciences, Kanazawa University, Kanazawa, Ishikawa Japan
| | - Nobuhisa Mizuki
- Department of Ophthalmology and Visual Sciences, Yokohama City University School of Medicine, Yokohama, Japan
| | - Chieko Shiragami
- Department of Ophthalmology, Kagawa University Faculty of Medicine, Kagawa, Japan
| | - Tomohiro Iida
- Department of Ophthalmology, Tokyo Women’s Medical University, Tokyo, Japan
| | - Chiea Chuen Khor
- Singapore National Eye Centre, Singapore Eye Research Institute, Singapore, Singapore
- Division of Human Genetics, Genome Institute of Singapore, Singapore, Singapore
| | - Tien Yin Wong
- Singapore National Eye Centre, Singapore Eye Research Institute, Singapore, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
- Ophthalmology and Visual Sciences Academic Clinical Program, Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
| | - Ryo Yamada
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Shigeru Honda
- Department of Surgery, Division of Ophthalmology, Kobe University Graduate School of Medicine, Kobe, Japan
- Department of Ophthalmology and Visual Sciences, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Eiko K. de Jong
- Department of Ophthalmology, Donders Institute of Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Anneke I. den Hollander
- Department of Ophthalmology, Donders Institute of Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Fumihiko Matsuda
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Kenji Yamashiro
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan
- Department of Ophthalmology, Otsu Red-Cross Hospital, Otsu, Japan
| | - Akitaka Tsujikawa
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan
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Mansoor N, Wahid F, Azam M, Shah K, den Hollander AI, Qamar R, Ayub H. Molecular Mechanisms of Complement System Proteins and Matrix Metalloproteinases in the Pathogenesis of Age-Related Macular Degeneration. Curr Mol Med 2019; 19:705-718. [PMID: 31456517 DOI: 10.2174/1566524019666190828150625] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Revised: 08/06/2019] [Accepted: 08/09/2019] [Indexed: 02/08/2023]
Abstract
Age-related macular degeneration (AMD) is an eye disorder affecting predominantly the older people above the age of 50 years in which the macular region of the retina deteriorates, resulting in the loss of central vision. The key factors associated with the pathogenesis of AMD are age, smoking, dietary, and genetic risk factors. There are few associated and plausible genes involved in AMD pathogenesis. Common genetic variants (with a minor allele frequency of >5% in the population) near the complement genes explain 40-60% of the heritability of AMD. The complement system is a group of proteins that work together to destroy foreign invaders, trigger inflammation, and remove debris from cells and tissues. Genetic changes in and around several complement system genes, including the CFH, contribute to the formation of drusen and progression of AMD. Similarly, Matrix metalloproteinases (MMPs) that are normally involved in tissue remodeling also play a critical role in the pathogenesis of AMD. MMPs are involved in the degradation of cell debris and lipid deposits beneath retina but with age their functions get affected and result in the drusen formation, succeeding to macular degeneration. In this review, AMD pathology, existing knowledge about the normal and pathological role of complement system proteins and MMPs in the eye is reviewed. The scattered data of complement system proteins, MMPs, drusenogenesis, and lipofusogenesis have been gathered and discussed in detail. This might add new dimensions to the understanding of molecular mechanisms of AMD pathophysiology and might help in finding new therapeutic options for AMD.
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Affiliation(s)
- Naima Mansoor
- Department of Biotechnology, COMSATS University Islamabad, Abbottabad Campus, 22060, Pakistan
| | - Fazli Wahid
- Department of Biotechnology, COMSATS University Islamabad, Abbottabad Campus, 22060, Pakistan
| | - Maleeha Azam
- Department of Biosciences, COMSATS University Islamabad, Pakistan
| | - Khadim Shah
- Department of Biotechnology, COMSATS University Islamabad, Abbottabad Campus, 22060, Pakistan
| | - Anneke I den Hollander
- Department of Ophthalmology, Radboud University Nijmegen Medical Centre, Nijmegen, Netherlands
| | - Raheel Qamar
- Department of Biosciences, COMSATS University Islamabad, Pakistan
| | - Humaira Ayub
- Department of Biotechnology, COMSATS University Islamabad, Abbottabad Campus, 22060, Pakistan
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Sugita S, Makabe K, Fujii S, Takahashi M. Detection of Complement Activators in Immune Attack Eyes After iPS-Derived Retinal Pigment Epithelial Cell Transplantation. Invest Ophthalmol Vis Sci 2019; 59:4198-4209. [PMID: 30128491 DOI: 10.1167/iovs.18-24769] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Purpose To determine whether human induced pluripotent stem (iPS) cell-derived retinal pigment epithelial (RPE) cells (iPS-RPE) can express complement factors. Methods To confirm expression of complement factors in human iPS-RPE cells, we performed flow cytometry, immunohistochemistry, ELISA, and quantitative RT-PCR for the following: C3, C5, CFB (Factor B), C5b-9 (membrane attack complex [MAC]), CFH (Factor H), CFI (Factor I), CD46, CD55, CD59, clusterin, and vitronectin. We also prepared iPS-RPE cells in the presence of recombinant IFN-γ, recombinant TNF-α, lipopolysaccharide, supernatants of naïve T cells, and T helper 1 (Th1) cells. For the transplantation, after preparation of iPS-RPE cells from cynomolgus monkeys, the iPS-RPE cells (allografts) were transplanted into the subretinal space in monkeys. After surgery, monkeys were euthanized for IHC evaluation of the retinal section and determination of complement factors (C3, C5, CFB, MAC, and C1q), cytokines, and immunoglobulin G (IgG). Results Human iPS-RPE cells expressed complement activators and inhibitors. iPS-RPE cells highly expressed complement factors during inflammatory conditions, especially IFN-γ exposure including Th1 cell supernatants. In immune attack eyes after allogeneic iPS-RPE cell transplantation, complement activators such as C3, CFB, C5, and MAC were detected around the host RPE layer, grafted RPE cells, inflammatory retinal lesions, and transplanted subretinal space. In addition, we observed a large number of C1q and IgG double positive and IFN-γ positive inflammatory cells in the retinal sections. Conclusions iPS-derived RPE cells greatly expressed complement factors. Thus, RPE cells might be activated and produce complement factors after exposure to infiltrating inflammatory cells in the eye.
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Affiliation(s)
- Sunao Sugita
- Laboratory for Retinal Regeneration, Center for Biosystems Dynamics Research, RIKEN, Kobe, Hyogo, Japan
| | - Kenichi Makabe
- Laboratory for Retinal Regeneration, Center for Biosystems Dynamics Research, RIKEN, Kobe, Hyogo, Japan
| | - Shota Fujii
- Laboratory for Retinal Regeneration, Center for Biosystems Dynamics Research, RIKEN, Kobe, Hyogo, Japan.,Department of Ophthalmology, Keio University School of Medicine, Tokyo, Japan
| | - Masayo Takahashi
- Laboratory for Retinal Regeneration, Center for Biosystems Dynamics Research, RIKEN, Kobe, Hyogo, Japan
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39
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Seddon JM, Rosner B. Validated Prediction Models for Macular Degeneration Progression and Predictors of Visual Acuity Loss Identify High-Risk Individuals. Am J Ophthalmol 2019; 198:223-261. [PMID: 30389371 DOI: 10.1016/j.ajo.2018.10.022] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2018] [Revised: 10/15/2018] [Accepted: 10/19/2018] [Indexed: 01/08/2023]
Abstract
PURPOSE To determine predictive factors and risk scores for conversion to overall advanced age-related macular degeneration (AMD), geographic atrophy (GA), neovascular disease (NV), and loss of vision, and to validate the model for AMD in an external cohort. METHODS Progression to advanced AMD was evaluated using stepwise survival analysis. Risk scores including genetic, demographic, behavioral, and ocular factors were derived for 3 AMD endpoints and were validated and calibrated in a large independent cohort. Vision loss of 15 or more letters was evaluated as a new endpoint in genetic analyses. RESULTS Eight common and rare variants in genes CFH, C3, ARMS2, COL8A1, and HSPH1/B3GALTL conferred a significantly higher risk of transition to advanced AMD. Three loci (C2, CFB, RAD51B) were associated with lower rate of progression. A protective effect was suggested for CTRB1 and PELI3. The age-adjusted area under the curve (AUC) for the composite model including 13 loci model was 0.900 over 12 years (0.896 in the validation cohort). Generally, progressors had a higher risk category and nonprogressors had a lower risk category when genetic factors were considered. Furthermore, there was heterogeneity between models for GA and NV. The model was calibrated in the validation cohort. Determinants of visual loss included age, education, body mass index, smoking, and several common and rare genetic variants. CONCLUSION Eyes with the same baseline macular grade had a wide range of estimated probability of subsequent progression and visual loss based on the validated risk score. Identifying high-risk individuals at an earlier stage using predictive modeling could lead to improved preventive and therapeutic strategies in the era of precision medicine.
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Affiliation(s)
- Johanna M Seddon
- Department of Ophthalmology and Visual Sciences, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
| | - Bernard Rosner
- Channing Division of Network Medicine, Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA
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40
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Abstract
The Hisayama Study is a population-based prospective cohort study designed to evaluate the risk factors for lifestyle-related diseases, such as stroke, coronary heart disease, hypertension, diabetes, and dementia, in a general Japanese population. The prospective follow-up surveys have been conducted in subjects aged 40 or older since 1961. Notable characteristics of this study include its high participation rate (70-80% of all residents aged 40 or older), high follow-up rate (99% or over), and high autopsy rate (approximately 75% of deceased cases). The Hisayama Study has provided valuable evidence of secular change in the prevalence and incidence of several lifestyle-related disease and their risk factors. The study has thereby contributed to elucidation of the preventive strategies for lifestyle-related disease. Research efforts in this cohort are ongoing and will provide additional data for the improvement of human health and longevity.
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Affiliation(s)
- Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University
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41
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Salminen A, Vlachopoulou E, Havulinna AS, Tervahartiala T, Sattler W, Lokki ML, Nieminen MS, Perola M, Salomaa V, Sinisalo J, Meri S, Sorsa T, Pussinen PJ. Genetic Variants Contributing to Circulating Matrix Metalloproteinase 8 Levels and Their Association With Cardiovascular Diseases: A Genome-Wide Analysis. ACTA ACUST UNITED AC 2018; 10:CIRCGENETICS.117.001731. [PMID: 29212897 DOI: 10.1161/circgenetics.117.001731] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2017] [Accepted: 09/11/2017] [Indexed: 11/16/2022]
Abstract
BACKGROUND Matrix metalloproteinase 8 (MMP-8) is a proinflammatory enzyme expressed mainly by neutrophils. Elevated serum and plasma concentrations of MMP-8 are associated with the risk for and outcome of cardiovascular diseases (CVDs). The origin of circulating MMP-8 is not completely clear. METHODS AND RESULTS We performed a genome-wide association study of serum MMP-8 levels in 2 populations comprising altogether 6049 individuals. Moreover, we studied whether MMP-8-associated variants are linked to increased risk of CVDs and overall mortality in >20 000 subjects. The strongest association with serum MMP-8 was found in locus 1q31.3, containing the gene for complement factor H (lead single nucleotide polymorphism: rs800292; P=2.4×10-35). In functional experiments, activation of the alternative pathway of complement in the carriers of rs800292 minor allele (Ile62 in factor H) led to decreased release of MMP-8 from neutrophils compared with the major allele (Val62 in factor H). Another association was detected in 1q21.3, containing genes S100A8, S100A9, and S100A12 (strongest association: rs1560833; P=5.3×10-15). The minor allele of rs1560833 was inversely associated with CVD (odds ratio [95% confidence interval]: 0.90 [0.82-0.99]; P=0.032) and the time to incident CVD event (hazard ratio [95% confidence interval]: 0.91 [0.84-0.99]; P=0.032) in men but not in women. CONCLUSIONS According to our results, the activation of the alternative pathway of the complement system strongly contributes to serum MMP-8 concentration. Genetic polymorphism in S100A9-S100A12-S100A8 locus affects serum and plasma MMP-8 and shows a suggestive association with the risk of CVDs. Our results show that genetic variation determines a significant portion of circulating MMP-8 concentrations.
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Affiliation(s)
- Aino Salminen
- From the Department of Oral and Maxillofacial Diseases (A.S., T.T., T.S., P.J.P.), Transplantation Laboratory, Medicum (E.V., M.-L.L.), Institute for Molecular Medicine Finland (M.P.), Immunobiology Research Program, Research Programs Unit (S.M.), and Department of Bacteriology and Immunology, Haartman Institute (S.M.), University of Helsinki, Finland; Department of Oral and Maxillofacial Diseases, Helsinki University Hospital, Finland (A.S., T.T., T.S., P.J.P.); Division of Periodontology, Department of Dental Medicine, Karolinska Institute, Huddinge, Sweden (A.S., T.S.); Department of Health, National Institute for Health and Welfare, Helsinki, Finland (A.S.H., M.P., V.S.); Institute of Molecular Biology and Biochemistry, Medical University of Graz, Austria (W.S.); and Division of Cardiology, HUCH Heart and Lung Center, Helsinki University Hospital, Finland (M.S.N., J.S.).
| | - Efthymia Vlachopoulou
- From the Department of Oral and Maxillofacial Diseases (A.S., T.T., T.S., P.J.P.), Transplantation Laboratory, Medicum (E.V., M.-L.L.), Institute for Molecular Medicine Finland (M.P.), Immunobiology Research Program, Research Programs Unit (S.M.), and Department of Bacteriology and Immunology, Haartman Institute (S.M.), University of Helsinki, Finland; Department of Oral and Maxillofacial Diseases, Helsinki University Hospital, Finland (A.S., T.T., T.S., P.J.P.); Division of Periodontology, Department of Dental Medicine, Karolinska Institute, Huddinge, Sweden (A.S., T.S.); Department of Health, National Institute for Health and Welfare, Helsinki, Finland (A.S.H., M.P., V.S.); Institute of Molecular Biology and Biochemistry, Medical University of Graz, Austria (W.S.); and Division of Cardiology, HUCH Heart and Lung Center, Helsinki University Hospital, Finland (M.S.N., J.S.)
| | - Aki S Havulinna
- From the Department of Oral and Maxillofacial Diseases (A.S., T.T., T.S., P.J.P.), Transplantation Laboratory, Medicum (E.V., M.-L.L.), Institute for Molecular Medicine Finland (M.P.), Immunobiology Research Program, Research Programs Unit (S.M.), and Department of Bacteriology and Immunology, Haartman Institute (S.M.), University of Helsinki, Finland; Department of Oral and Maxillofacial Diseases, Helsinki University Hospital, Finland (A.S., T.T., T.S., P.J.P.); Division of Periodontology, Department of Dental Medicine, Karolinska Institute, Huddinge, Sweden (A.S., T.S.); Department of Health, National Institute for Health and Welfare, Helsinki, Finland (A.S.H., M.P., V.S.); Institute of Molecular Biology and Biochemistry, Medical University of Graz, Austria (W.S.); and Division of Cardiology, HUCH Heart and Lung Center, Helsinki University Hospital, Finland (M.S.N., J.S.)
| | - Taina Tervahartiala
- From the Department of Oral and Maxillofacial Diseases (A.S., T.T., T.S., P.J.P.), Transplantation Laboratory, Medicum (E.V., M.-L.L.), Institute for Molecular Medicine Finland (M.P.), Immunobiology Research Program, Research Programs Unit (S.M.), and Department of Bacteriology and Immunology, Haartman Institute (S.M.), University of Helsinki, Finland; Department of Oral and Maxillofacial Diseases, Helsinki University Hospital, Finland (A.S., T.T., T.S., P.J.P.); Division of Periodontology, Department of Dental Medicine, Karolinska Institute, Huddinge, Sweden (A.S., T.S.); Department of Health, National Institute for Health and Welfare, Helsinki, Finland (A.S.H., M.P., V.S.); Institute of Molecular Biology and Biochemistry, Medical University of Graz, Austria (W.S.); and Division of Cardiology, HUCH Heart and Lung Center, Helsinki University Hospital, Finland (M.S.N., J.S.)
| | - Wolfgang Sattler
- From the Department of Oral and Maxillofacial Diseases (A.S., T.T., T.S., P.J.P.), Transplantation Laboratory, Medicum (E.V., M.-L.L.), Institute for Molecular Medicine Finland (M.P.), Immunobiology Research Program, Research Programs Unit (S.M.), and Department of Bacteriology and Immunology, Haartman Institute (S.M.), University of Helsinki, Finland; Department of Oral and Maxillofacial Diseases, Helsinki University Hospital, Finland (A.S., T.T., T.S., P.J.P.); Division of Periodontology, Department of Dental Medicine, Karolinska Institute, Huddinge, Sweden (A.S., T.S.); Department of Health, National Institute for Health and Welfare, Helsinki, Finland (A.S.H., M.P., V.S.); Institute of Molecular Biology and Biochemistry, Medical University of Graz, Austria (W.S.); and Division of Cardiology, HUCH Heart and Lung Center, Helsinki University Hospital, Finland (M.S.N., J.S.)
| | - Marja-Liisa Lokki
- From the Department of Oral and Maxillofacial Diseases (A.S., T.T., T.S., P.J.P.), Transplantation Laboratory, Medicum (E.V., M.-L.L.), Institute for Molecular Medicine Finland (M.P.), Immunobiology Research Program, Research Programs Unit (S.M.), and Department of Bacteriology and Immunology, Haartman Institute (S.M.), University of Helsinki, Finland; Department of Oral and Maxillofacial Diseases, Helsinki University Hospital, Finland (A.S., T.T., T.S., P.J.P.); Division of Periodontology, Department of Dental Medicine, Karolinska Institute, Huddinge, Sweden (A.S., T.S.); Department of Health, National Institute for Health and Welfare, Helsinki, Finland (A.S.H., M.P., V.S.); Institute of Molecular Biology and Biochemistry, Medical University of Graz, Austria (W.S.); and Division of Cardiology, HUCH Heart and Lung Center, Helsinki University Hospital, Finland (M.S.N., J.S.)
| | - Markku S Nieminen
- From the Department of Oral and Maxillofacial Diseases (A.S., T.T., T.S., P.J.P.), Transplantation Laboratory, Medicum (E.V., M.-L.L.), Institute for Molecular Medicine Finland (M.P.), Immunobiology Research Program, Research Programs Unit (S.M.), and Department of Bacteriology and Immunology, Haartman Institute (S.M.), University of Helsinki, Finland; Department of Oral and Maxillofacial Diseases, Helsinki University Hospital, Finland (A.S., T.T., T.S., P.J.P.); Division of Periodontology, Department of Dental Medicine, Karolinska Institute, Huddinge, Sweden (A.S., T.S.); Department of Health, National Institute for Health and Welfare, Helsinki, Finland (A.S.H., M.P., V.S.); Institute of Molecular Biology and Biochemistry, Medical University of Graz, Austria (W.S.); and Division of Cardiology, HUCH Heart and Lung Center, Helsinki University Hospital, Finland (M.S.N., J.S.)
| | - Markus Perola
- From the Department of Oral and Maxillofacial Diseases (A.S., T.T., T.S., P.J.P.), Transplantation Laboratory, Medicum (E.V., M.-L.L.), Institute for Molecular Medicine Finland (M.P.), Immunobiology Research Program, Research Programs Unit (S.M.), and Department of Bacteriology and Immunology, Haartman Institute (S.M.), University of Helsinki, Finland; Department of Oral and Maxillofacial Diseases, Helsinki University Hospital, Finland (A.S., T.T., T.S., P.J.P.); Division of Periodontology, Department of Dental Medicine, Karolinska Institute, Huddinge, Sweden (A.S., T.S.); Department of Health, National Institute for Health and Welfare, Helsinki, Finland (A.S.H., M.P., V.S.); Institute of Molecular Biology and Biochemistry, Medical University of Graz, Austria (W.S.); and Division of Cardiology, HUCH Heart and Lung Center, Helsinki University Hospital, Finland (M.S.N., J.S.)
| | - Veikko Salomaa
- From the Department of Oral and Maxillofacial Diseases (A.S., T.T., T.S., P.J.P.), Transplantation Laboratory, Medicum (E.V., M.-L.L.), Institute for Molecular Medicine Finland (M.P.), Immunobiology Research Program, Research Programs Unit (S.M.), and Department of Bacteriology and Immunology, Haartman Institute (S.M.), University of Helsinki, Finland; Department of Oral and Maxillofacial Diseases, Helsinki University Hospital, Finland (A.S., T.T., T.S., P.J.P.); Division of Periodontology, Department of Dental Medicine, Karolinska Institute, Huddinge, Sweden (A.S., T.S.); Department of Health, National Institute for Health and Welfare, Helsinki, Finland (A.S.H., M.P., V.S.); Institute of Molecular Biology and Biochemistry, Medical University of Graz, Austria (W.S.); and Division of Cardiology, HUCH Heart and Lung Center, Helsinki University Hospital, Finland (M.S.N., J.S.)
| | - Juha Sinisalo
- From the Department of Oral and Maxillofacial Diseases (A.S., T.T., T.S., P.J.P.), Transplantation Laboratory, Medicum (E.V., M.-L.L.), Institute for Molecular Medicine Finland (M.P.), Immunobiology Research Program, Research Programs Unit (S.M.), and Department of Bacteriology and Immunology, Haartman Institute (S.M.), University of Helsinki, Finland; Department of Oral and Maxillofacial Diseases, Helsinki University Hospital, Finland (A.S., T.T., T.S., P.J.P.); Division of Periodontology, Department of Dental Medicine, Karolinska Institute, Huddinge, Sweden (A.S., T.S.); Department of Health, National Institute for Health and Welfare, Helsinki, Finland (A.S.H., M.P., V.S.); Institute of Molecular Biology and Biochemistry, Medical University of Graz, Austria (W.S.); and Division of Cardiology, HUCH Heart and Lung Center, Helsinki University Hospital, Finland (M.S.N., J.S.)
| | - Seppo Meri
- From the Department of Oral and Maxillofacial Diseases (A.S., T.T., T.S., P.J.P.), Transplantation Laboratory, Medicum (E.V., M.-L.L.), Institute for Molecular Medicine Finland (M.P.), Immunobiology Research Program, Research Programs Unit (S.M.), and Department of Bacteriology and Immunology, Haartman Institute (S.M.), University of Helsinki, Finland; Department of Oral and Maxillofacial Diseases, Helsinki University Hospital, Finland (A.S., T.T., T.S., P.J.P.); Division of Periodontology, Department of Dental Medicine, Karolinska Institute, Huddinge, Sweden (A.S., T.S.); Department of Health, National Institute for Health and Welfare, Helsinki, Finland (A.S.H., M.P., V.S.); Institute of Molecular Biology and Biochemistry, Medical University of Graz, Austria (W.S.); and Division of Cardiology, HUCH Heart and Lung Center, Helsinki University Hospital, Finland (M.S.N., J.S.)
| | - Timo Sorsa
- From the Department of Oral and Maxillofacial Diseases (A.S., T.T., T.S., P.J.P.), Transplantation Laboratory, Medicum (E.V., M.-L.L.), Institute for Molecular Medicine Finland (M.P.), Immunobiology Research Program, Research Programs Unit (S.M.), and Department of Bacteriology and Immunology, Haartman Institute (S.M.), University of Helsinki, Finland; Department of Oral and Maxillofacial Diseases, Helsinki University Hospital, Finland (A.S., T.T., T.S., P.J.P.); Division of Periodontology, Department of Dental Medicine, Karolinska Institute, Huddinge, Sweden (A.S., T.S.); Department of Health, National Institute for Health and Welfare, Helsinki, Finland (A.S.H., M.P., V.S.); Institute of Molecular Biology and Biochemistry, Medical University of Graz, Austria (W.S.); and Division of Cardiology, HUCH Heart and Lung Center, Helsinki University Hospital, Finland (M.S.N., J.S.)
| | - Pirkko J Pussinen
- From the Department of Oral and Maxillofacial Diseases (A.S., T.T., T.S., P.J.P.), Transplantation Laboratory, Medicum (E.V., M.-L.L.), Institute for Molecular Medicine Finland (M.P.), Immunobiology Research Program, Research Programs Unit (S.M.), and Department of Bacteriology and Immunology, Haartman Institute (S.M.), University of Helsinki, Finland; Department of Oral and Maxillofacial Diseases, Helsinki University Hospital, Finland (A.S., T.T., T.S., P.J.P.); Division of Periodontology, Department of Dental Medicine, Karolinska Institute, Huddinge, Sweden (A.S., T.S.); Department of Health, National Institute for Health and Welfare, Helsinki, Finland (A.S.H., M.P., V.S.); Institute of Molecular Biology and Biochemistry, Medical University of Graz, Austria (W.S.); and Division of Cardiology, HUCH Heart and Lung Center, Helsinki University Hospital, Finland (M.S.N., J.S.)
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42
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Huang L, Zhang X, Tam POS, Chen H, Hao F, Pang CP, Wen F, Yang Z. Association of coding and UTR variants in the known regions with wet age-related macular degeneration in Han Chinese population. J Hum Genet 2018; 63:1055-1070. [PMID: 30026504 DOI: 10.1038/s10038-018-0490-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2018] [Revised: 07/04/2018] [Accepted: 07/04/2018] [Indexed: 11/09/2022]
Abstract
Age-related macular degeneration (AMD) is the leading cause worldwide of severe visual impairment among people older than 55 years of age. This study aimed to investigate the genetic association between coding and untranslated region (UTR) variants in previously reported loci and exudative age-related macular degeneration (wet AMD) in a Han Chinese population. Using our previously published whole exome sequencing dataset of 349 wet AMD patients and 1253 controls, we searched for associations between coding and UTR variants of the 72 genes located within the 47 reported wet AMD loci regions. From these, 25 variants in 18 of the 72 genes with P < 10 × 10-3 were selected for the first replication of Sequenom mass-array genotyping in 885 wet AMD subjects and 562 controls. Next, four SNPs were selected for further validation by SNaPshot genotyping in a third Chinese cohort with 456 wet AMD subjects and 211 controls. As a result, we identified two new potential coding and UTR variant SNPs (rs189132250 in BBX located in 3q12.1 and rs144351944 in FILIP1L located in 3q12.1) that showed weak associations with wet AMD in the Han Chinese population. These findings provide new information regarding the coding and UTR variants of the known wet AMD loci in the studied Chinese cohort.
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Affiliation(s)
- Lulin Huang
- Sichuan Provincial Key Laboratory for Human Disease Gene Study and the Department of Laboratory Medicine, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Xiongze Zhang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Pancy O S Tam
- Department of Ophthalmology and Visual Sciences, Chinese University of Hong Kong, Hong Kong, China
| | - Haoyu Chen
- Joint Shantou International Eye Center, Shantou University and Chinese University of Hong Kong, Shantou, China
| | - Fang Hao
- Sichuan Provincial Key Laboratory for Human Disease Gene Study and the Department of Laboratory Medicine, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Chi-Pui Pang
- Department of Ophthalmology and Visual Sciences, Chinese University of Hong Kong, Hong Kong, China
| | - Fen Wen
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.
| | - Zhenglin Yang
- Sichuan Provincial Key Laboratory for Human Disease Gene Study and the Department of Laboratory Medicine, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China. .,Institute of Chengdu Biology, and Sichuan Translational Medicine Hospital, Chinese Academy of Sciences, Chengdu, Sichuan, China. .,Center of Information in Biomedicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
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43
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Lin E, Tsai SJ, Kuo PH, Liu YL, Yang AC, Kao CF, Yang CH. The rs1277306 Variant of the REST Gene Confers Susceptibility to Cognitive Aging in an Elderly Taiwanese Population. Dement Geriatr Cogn Disord 2018; 43:119-127. [PMID: 28142142 DOI: 10.1159/000455833] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/04/2017] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND/AIMS There is growing evidence that the RE1-silencing transcription factor (REST) gene may contribute to cognitive aging and Alzheimer diseases. In this replication study, we reassessed whether single nucleotide polymorphisms (SNPs) within the REST gene are linked with cognitive aging independently and/or through complex interactions in an older Taiwanese population. METHODS A total of 634 Taiwanese subjects aged over 60 years from the Taiwan Biobank were analyzed. Mini-Mental State Examination (MMSE) scores were performed for all subjects to weigh cognitive functions. RESULTS Our data showed that the REST rs1277306 SNP was significantly associated with cognitive aging among all subjects (p = 0.0052). Furthermore, the association remained significant for individuals without APOE ε4 allele (p = 0.0092), but not for individuals with at least 1 APOE ε4 allele. This association remained significant after Bonferroni correction. Additionally, we found the interactions between the rs1713985 and rs1277306 SNPs on cognitive aging (p = 0.016). However, the 3-marker haplotype derived from the rs1713985, rs3796529, and rs7680734 SNPs in the REST gene demonstrated no association with cognitive aging. CONCLUSION Our study indicates that the REST gene may contribute to susceptibility to cognitive aging independently as well as through SNP-SNP and APOE-REST interactions.
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Affiliation(s)
- Eugene Lin
- TickleFish Systems Corporation, Seattle, WA, USA
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44
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Seddon JM. Macular Degeneration Epidemiology: Nature-Nurture, Lifestyle Factors, Genetic Risk, and Gene-Environment Interactions - The Weisenfeld Award Lecture. Invest Ophthalmol Vis Sci 2018; 58:6513-6528. [PMID: 29288272 PMCID: PMC5749242 DOI: 10.1167/iovs.17-23544] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Affiliation(s)
- Johanna M Seddon
- Ophthalmic Epidemiology and Genetics Service, Tufts Medical Center, Boston, Massachusetts, United States.,Department of Ophthalmology, Tufts University School of Medicine, Boston, Massachusetts, United States.,Sackler School of Graduate Biomedical Sciences and Friedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts, United States
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45
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A mega-analysis of expression quantitative trait loci (eQTL) provides insight into the regulatory architecture of gene expression variation in liver. Sci Rep 2018; 8:5865. [PMID: 29650998 PMCID: PMC5897392 DOI: 10.1038/s41598-018-24219-z] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2018] [Accepted: 03/27/2018] [Indexed: 01/11/2023] Open
Abstract
Genome-wide association studies (GWAS) have identified numerous genetic variants in the human genome associated with diseases and traits. Nevertheless, for most loci the causative variant is still unknown. Expression quantitative trait loci (eQTL) in disease relevant tissues is an excellent approach to correlate genetic association with gene expression. While liver is the primary site of gene transcription for two pathways relevant to age-related macular degeneration (AMD), namely the complement system and cholesterol metabolism, we explored the contribution of AMD associated variants to modulate liver gene expression. We extracted publicly available data and computed the largest eQTL data set for liver tissue to date. Genotypes and expression data from all studies underwent rigorous quality control. Subsequently, Matrix eQTL was used to identify significant local eQTL. In total, liver samples from 588 individuals revealed 202,489 significant eQTL variants affecting 1,959 genes (Q-Value < 0.001). In addition, a further 101 independent eQTL signals were identified in 93 of the 1,959 eQTL genes. Importantly, our results independently reinforce the notion that high density lipoprotein metabolism plays a role in AMD pathogenesis. Taken together, our study generated a first comprehensive map reflecting the genetic regulatory landscape of gene expression in liver.
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46
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Takahashi A, Ooto S, Yamashiro K, Tamura H, Oishi A, Miyata M, Hata M, Yoshikawa M, Yoshimura N, Tsujikawa A. Pachychoroid Geographic Atrophy. ACTA ACUST UNITED AC 2018; 2:295-305. [DOI: 10.1016/j.oret.2017.08.016] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2017] [Revised: 08/13/2017] [Accepted: 08/15/2017] [Indexed: 02/04/2023]
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47
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Fejzo MS, Sazonova OV, Sathirapongsasuti JF, Hallgrímsdóttir IB, Vacic V, MacGibbon KW, Schoenberg FP, Mancuso N, Slamon DJ, Mullin PM. Placenta and appetite genes GDF15 and IGFBP7 are associated with hyperemesis gravidarum. Nat Commun 2018; 9:1178. [PMID: 29563502 PMCID: PMC5862842 DOI: 10.1038/s41467-018-03258-0] [Citation(s) in RCA: 88] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2016] [Accepted: 01/30/2018] [Indexed: 01/01/2023] Open
Abstract
Hyperemesis gravidarum (HG), severe nausea and vomiting of pregnancy, occurs in 0.3-2% of pregnancies and is associated with maternal and fetal morbidity. The cause of HG remains unknown, but familial aggregation and results of twin studies suggest that understanding the genetic contribution is essential for comprehending the disease etiology. Here, we conduct a genome-wide association study (GWAS) for binary (HG) and ordinal (severity of nausea and vomiting) phenotypes of pregnancy complications. Two loci, chr19p13.11 and chr4q12, are genome-wide significant (p < 5 × 10-8) in both association scans and are replicated in an independent cohort. The genes implicated at these two loci are GDF15 and IGFBP7 respectively, both known to be involved in placentation, appetite, and cachexia. While proving the casual roles of GDF15 and IGFBP7 in nausea and vomiting of pregnancy requires further study, this GWAS provides insights into the genetic risk factors contributing to the disease.
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Affiliation(s)
- Marlena S Fejzo
- Division of Hematology-Oncology, David Geffen School of Medicine, Jonsson Comprehensive Cancer Center, University of California at Los Angeles, Los Angeles, CA, 90095, USA.
- Department of Maternal-Fetal Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA.
| | | | | | | | | | | | - Frederic P Schoenberg
- Department of Statistics, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Nicholas Mancuso
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA
| | - Dennis J Slamon
- Division of Hematology-Oncology, David Geffen School of Medicine, Jonsson Comprehensive Cancer Center, University of California at Los Angeles, Los Angeles, CA, 90095, USA
| | - Patrick M Mullin
- Department of Maternal-Fetal Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA
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48
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Cobos E, Recalde S, Anter J, Hernandez-Sanchez M, Barreales C, Olavarrieta L, Valverde A, Suarez-Figueroa M, Cruz F, Abraldes M, Pérez-Pérez J, Fernández-Robredo P, Arias L, García-Layana A. Association between CFH, CFB, ARMS2, SERPINF1, VEGFR1 and VEGF polymorphisms and anatomical and functional response to ranibizumab treatment in neovascular age-related macular degeneration. Acta Ophthalmol 2018; 96:e201-e212. [PMID: 28926193 DOI: 10.1111/aos.13519] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2017] [Accepted: 06/01/2017] [Indexed: 12/30/2022]
Abstract
PURPOSE We sought to determine if specific genetic single nucleotide polymorphisms (SNPs) influence vascular endothelial growth factor inhibition response to ranibizumab in neovascular age-related macular degeneration (AMD). METHODS A total of 403 Caucasian patients diagnosed with exudative AMD were included. After a three-injection loading phase, a pro re nata regimen was followed. Nine SNPs from six different genes (CFH, CFB, ARMS2, SERPINF1, VEGFR1, VEGF) were genotyped. Non-genetic risk factors (gender, smoking habit and hypertension) were also assessed. Patients were classified as good or poor responders (GR or PR) according to functional (visual acuity), anatomical (foveal thickness measured by OCT) and fluid criteria (fluid/no fluid measured by OCT). RESULTS Hypertension was the environmental factor with the strongest poor response association with ranibizumab in the anatomical measure after the loading phase (p = 0.0004; OR 3.7; 95% CI, 2.4-5.8) and after 12 months of treatment (p = 10-5 ; OR 2.3; 95% CI, 1.5-3.4). The genetic variants rs12614 (CFB), rs699947 (VEGFA) and rs7993418 (VEGFR1) predisposed patients to a good response, while rs12603486 and rs1136287 (SERPINF1) were associated with a poor response. The protective genotype of rs800292 variant (CFH) was also associated with a poor anatomical response (p 0.0048). CONCLUSION All these data suggest that genetics play an important role in treatment response in AMD patients.
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Affiliation(s)
- Estefania Cobos
- Department of Ophthalmology; Bellvitge University Hospital; Barcelona Spain
| | - Sergio Recalde
- Ophthalmology Experimental Laboratory; Universidad de Navarra; Pamplona Spain
- Department of Ophthalmology; Clínica Universidad de Navarra; Pamplona Spain
| | - Jaouad Anter
- Department of Celular and Molecular Medicine; Centro de Investigaciones Biológicas and Ciber de Enfermedades Raras; Madrid Spain
| | - Maria Hernandez-Sanchez
- Ophthalmology Experimental Laboratory; Universidad de Navarra; Pamplona Spain
- Department of Ophthalmology; Clínica Universidad de Navarra; Pamplona Spain
| | - Carla Barreales
- Deparment of Ophthalmology; Hospital Virgen del Camino; Pamplona Spain
| | | | - Alicia Valverde
- Deparment of Ophthalmology; Hospital Clínico de Madrid; Madrid Spain
| | | | - Fernando Cruz
- Deparment of Ophthalmology; Complejo asistencial Universitario de Salamanca; Salamanca Spain
| | - Maximino Abraldes
- Deparment of Ophthalmology; Hospital Universitario Santiago de Compostela; Santiago de Compostela Spain
| | | | - Patricia Fernández-Robredo
- Ophthalmology Experimental Laboratory; Universidad de Navarra; Pamplona Spain
- Department of Ophthalmology; Clínica Universidad de Navarra; Pamplona Spain
| | - Luis Arias
- Department of Ophthalmology; Bellvitge University Hospital; Barcelona Spain
| | - Alfredo García-Layana
- Ophthalmology Experimental Laboratory; Universidad de Navarra; Pamplona Spain
- Department of Ophthalmology; Clínica Universidad de Navarra; Pamplona Spain
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49
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Momozawa Y, Akiyama M, Kamatani Y, Arakawa S, Yasuda M, Yoshida S, Oshima Y, Mori R, Tanaka K, Mori K, Inoue S, Terasaki H, Yasuma T, Honda S, Miki A, Inoue M, Fujisawa K, Takahashi K, Yasukawa T, Yanagi Y, Kadonosono K, Sonoda KH, Ishibashi T, Takahashi A, Kubo M. Low-frequency coding variants in CETP and CFB are associated with susceptibility of exudative age-related macular degeneration in the Japanese population. Hum Mol Genet 2018; 25:5027-5034. [PMID: 28173125 DOI: 10.1093/hmg/ddw335] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2016] [Revised: 09/08/2016] [Accepted: 09/28/2016] [Indexed: 12/21/2022] Open
Abstract
Age-related macular degeneration (AMD) is a major cause of blindness in the elderly. Previous sequencing studies of AMD susceptibility genes have revealed the association of rare coding variants in CFH, CFI, C3 and C9 in European population; however, the impact of rare or low-frequency coding variants on AMD susceptibility in other populations is largely unknown. To identify the role of low-frequency coding variants on exudative AMD susceptibility in a Japanese population, we analysed the association of coding variants of 34 AMD candidate genes in the two-stage design by a multiplex PCR-based target sequencing method. We used a total of 2,886 (1st: 827, 2nd: 2,059) exudative AMD cases including typical AMD, polypoidal choroidal vasculopathy, and retinal angiomatous proliferation and 9,337 (1st: 3,247 2nd: 6,090) controls. Gene-based analysis found a significant association of low-frequency variants (minor allele frequency (MAF) < 0.05) in CETP, C2 and CFB. The association of CETP remained after conditioned with all known genome-wide association study (GWAS) associated variants. In addition, when we included only disruptive variants, enrichment of rare variants (MAF < 0.01) was also observed after conditioned with all GWAS associated variants (P = 1.03 × 10−6, odds ratio (OR) = 2.48). Haplotype and conditional analysis of the C2-CFB-SKIV2L locus showed a low-frequency variant (R74H) in CFB would be individually associated with AMD susceptibility independent of the GWAS associated SNP. These findings highlight the importance of target sequencing to reveal the impact of rare or low-frequency coding variants on disease susceptibility in different ethnic populations.
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Affiliation(s)
- Yukihide Momozawa
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan
| | - Masato Akiyama
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan.,Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan.,Department of Ophthalmology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yoichiro Kamatani
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan
| | - Satoshi Arakawa
- Department of Ophthalmology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Japan Community Health care Organization, Kyushu Hospital, Fukuoka, Japan
| | - Miho Yasuda
- Department of Ophthalmology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Shigeo Yoshida
- Department of Ophthalmology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yuji Oshima
- Department of Ophthalmology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Ryusaburo Mori
- Division of Ophthalmology, Department of Visual Sciences, Nihon University School of Medicine, Nihon University Hospital, Tokyo, Japan
| | - Koji Tanaka
- Division of Ophthalmology, Department of Visual Sciences, Nihon University School of Medicine, Nihon University Hospital, Tokyo, Japan
| | - Keisuke Mori
- Department of Ophthalmology, Saitama Medical University, Saitama, Japan.,Department of Ophthalmology, International University of Health and Welfare Hospital, Tochigi, Japan
| | - Satoshi Inoue
- Division of Gene Regulation and Signal Transduction, Research Center for Genomic Medicine, Saitama Medical University, Saitama, Japan
| | - Hiroko Terasaki
- Department of Ophthalmology, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Tetsuhiro Yasuma
- Department of Ophthalmology, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Shigeru Honda
- Department of Surgery, Division of Ophthalmology, Kobe University Graduate School of Medicine, Hyogo, Japan
| | - Akiko Miki
- Department of Surgery, Division of Ophthalmology, Kobe University Graduate School of Medicine, Hyogo, Japan
| | - Maiko Inoue
- Department of Surgery, Division of Ophthalmology, Kobe University Graduate School of Medicine, Hyogo, Japan
| | - Kimihiko Fujisawa
- Japan Community Health care Organization, Kyushu Hospital, Fukuoka, Japan
| | - Kanji Takahashi
- Department of Surgery, Division of Ophthalmology, Kobe University Graduate School of Medicine, Hyogo, Japan
| | - Tsutomu Yasukawa
- Department of Surgery, Division of Ophthalmology, Kobe University Graduate School of Medicine, Hyogo, Japan
| | - Yasuo Yanagi
- Department of Ophthalmology and Visual Science, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Kazuaki Kadonosono
- Department of Pediatric Surgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Koh-Hei Sonoda
- Department of Ophthalmology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Tatsuro Ishibashi
- Department of Ophthalmology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Atsushi Takahashi
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan
| | - Michiaki Kubo
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan
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Johnson SC. Nutrient Sensing, Signaling and Ageing: The Role of IGF-1 and mTOR in Ageing and Age-Related Disease. Subcell Biochem 2018; 90:49-97. [PMID: 30779006 DOI: 10.1007/978-981-13-2835-0_3] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Nutrient signaling through insulin/IGF-1 was the first pathway demonstrated to regulate ageing and age-related disease in model organisms. Pharmacological or dietary interventions targeting nutrient signaling pathways have been shown to robustly attenuate ageing in many organisms. Caloric restriction, the most widely studied longevity promoting intervention, works through multiple nutrient signaling pathways, while inhibition of mTOR through treatment with rapamycin reproducibly delays ageing and disease through specific inhibition of the mTOR complexes. Although the benefits of reduced insulin/IGF-1 in lifespan and health are well documented in model organisms, defining the precise role of the IGF-1 in human ageing and age-related disease has proven more difficult. Association studies provide some insight but also reveal paradoxes. Low serum IGF-1 predicts longevity, but IGF-1 decreases with age and IGF-1 therapy benefits some of age-related pathologies. Circulating IGF-1 has been associated both positively and negatively with risk of age-related diseases in humans, and in some cases both activation and inhibition of IGF-1 signaling have provided benefit in animal models of the same diseases. Interventions designed modulate the nutrient sensing signaling pathways positively or negatively are already available for clinical use, highlighting the need for a clear understanding of the role of nutrient signaling in ageing and age-related disease. This chapter examines data from model organisms and human genetic association studies, with a special emphasis on IGF-1 and mTOR, and discusses potential models for resolving the paradoxes surrounding IGF-1 data.
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Affiliation(s)
- Simon C Johnson
- Center for Integrative Brain Research, Seattle Children's Research Institute, Seattle, WA, USA.
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