Glaucoma
353 Biomarkers
| Biomarker | Category | Source | Application | Reference |
|---|---|---|---|---|
| macular parameters of glaucoma | Bio-imaging | Tissue | diagnosis | Hung KC,et al.Clin Exp Optom. 2015 |
| atrial natriuretic peptide (ANP) | Protein | Plasma | prediction | Kristine Baumane et al.,Curr Eye Res .2016 |
| CYP46A1 | DNA | Blood samples | prediction | Anu Chandra et al，Middle East Afr J Ophthalmol. 2016 Apr-Jun |
| PPARγ2 | DNA | Blood samples | prediction | Anu Chandra et al，Middle East Afr J Ophthalmol. 2016 Apr-Jun |
| Mn-SOD | DNA | blood | diagnosis | Khaled K Abu-Amero et al.Ophthalmic Genet . 2014 |
| BMO-MRW | Bio-imaging | machine | diagnosis | Balwantray C Chauhan et al.Ophthalmology . 2013 |
| apoptosis-inducing factor (AIF) | Protein | Blood | prediction | Gülgün Tezel et al.Invest Ophthalmol Vis Sci . 2012 |
| cyclic AMP-responsive element binding protein | Protein | Blood | prediction | Gülgün Tezel et al.Invest Ophthalmol Vis Sci . 2012 |
| ephrin type-A receptor | Protein | Blood | prediction | Gülgün Tezel et al.Invest Ophthalmol Vis Sci . 2012 |
| huntingtin | Protein | Blood | prediction | Gülgün Tezel et al.Invest Ophthalmol Vis Sci . 2012 |
| cyclic AMP-responsive element binding protein | Protein | Blood | prediction | Gülgün Tezel et al.Invest Ophthalmol Vis Sci . 2012 |
| ephrin type-A receptor | Protein | Blood | prediction | Gülgün Tezel et al.Invest Ophthalmol Vis Sci . 2012 |
| huntingtin | Protein | Blood | prediction | Gülgün Tezel et al.Invest Ophthalmol Vis Sci . 2012 |
| the amplitudes of a-waves, b-waves and photopic negative response | Eye measures | machine | prognosis | Lina Huang et al.Eye Sci . 2012 |
| chromosome 2p | Genetic locus | blood | diagnosis | Suganthalakshmi Balasubbu et al.Invest Ophthalmol Vis Sci . 2012 |
| GALC | DNA | blood | diagnosis | Yutao Liu et al.PLoS One . 2011 |
| TNF-α | Cytokine | blood | diagnosis | Sankarathi Balaiya et al.Clin Ophthalmol . 2011 |
| brain-derived neurotrophic factor | Protein | tissue | diagnosis | Alireza Ghaffariyeh et al.Optom Vis Sci . 2011 |
| CYP46A1 | DNA | diagnosis | Cynthia Fourgeux et al.Invest Ophthalmol Vis Sci . 2009 | |
| 2p15-p16 | Genetic locus | Blood | diagnosis | Ying Lin et al.Mol Vis . 2008 |
| iNOS(nitric oxide synthase) | Protein | diagnosis | Raquel Fernández-Durango et al.Invest Ophthalmol Vis Sci . 2008 | |
| soluble CD44 (sCD44) | Protein | tissue | diagnosis | Michael J Nolan et al.J Glaucoma . 2007 |
| ApoE | Metabolite | aqueous humor | prediction | Toshihiro Inoue et al,Invest Ophthalmol Vis Sci . 2013 |
| TTR | Metabolite | aqueous humor | prediction | Toshihiro Inoue et al,Invest Ophthalmol Vis Sci . 2013 |
| α2M | Metabolite | aqueous humor | prediction | Toshihiro Inoue et al,Invest Ophthalmol Vis Sci . 2013 |
| TRPC6 | DNA | leukocytes of the peripheral blood | prediction | Shida Chen et al,Clin Exp Ophthalmol . 2013 |
| myopia | Disease | machine | prediction | Mary Qiu et al,Invest Ophthalmol Vis Sci . 2013 |
| adrenomedullin (ADM) | Metabolite | Aqueous humor | prediction | Dimitrios G Mikropoulos et al,Curr Eye Res . 2013 |
| refractive error | Bio-imaging | machine | prediction | Saskia H M van Romunde et al,J Ophthalmol . 2013 |
| anterior chamber depth (ACD) | Bio-imaging | machine | prediction | Saskia H M van Romunde et al,J Ophthalmol . 2013 |
| axial length (AL) | Bio-imaging | machine | prediction | Saskia H M van Romunde et al,J Ophthalmol . 2013 |
| neutrophil/lymphocyte ratio | Bio-imaging | Blood | diagnosis | Ocul Immunol Inflamm. 2021 |
| glycine | Metabolite | Blood | diagnosis | Chen X et al.Mol Vis. 2019 |
| optic nerve head (ONH) | Bio-imaging | Tissue | diagnosis | Kim YC et al.J Glaucoma. 2019 |
| posterior sclera configuration parameters | Bio-imaging | Tissue | diagnosis | Kim YC et al.J Glaucoma. 2019 |
| anterior lamina cribrosa surface tilt | Bio-imaging | Tissue | prediction | Lee EJ et al. J Glaucoma. 2017 |
| microcirculation deep within the PPA | Metabolite | Tissue | prediction | Kiyota N et al.Acta Ophthalmol. 2018 |
| central corneal thickness (CCT) | Bio-imaging | tissue | prediction | Oliveira C, et al.J Glaucoma. 2006 Jun |
| parapapillary autofluorescence (PAF) | Bio-imaging | eye | prediction | Viestenz, A et al. Klinische Monatsblatter fur Augenheilkunde vol. 2006 |
| long anterior zonule (LAZ) | Bio-imaging | Tissue | prediction | Roberts DK et al.Invest Ophthalmol Vis Sci. 2018 |
| baseline age | Bio-imaging | Tissue | prediction | Gordon MO et al.Arch Ophthalmol. 2002 |
| horizontal cup-disc ratio | Bio-imaging | Tissue | prediction | Gordon MO et al.Arch Ophthalmol. 2002 |
| pattern standard deviation (PSD) | Bio-imaging | Tissue | prediction | Gordon MO et al.Arch Ophthalmol. 2002 |
| vertical | Bio-imaging | Tissue | prediction | Gordon MO et al.Arch Ophthalmol. 2002 |
| vertical and horizontal cup-disc ratio | Bio-imaging | Tissue | prediction | Gordon MO et al.Arch Ophthalmol. 2002 |
| pattern standard deviation (PSD) | Bio-imaging | Tissue | prediction | Gordon MO et al.Arch Ophthalmol. 2002 |
| intraocular pressure | Bio-imaging | Tissue | prediction | Gordon MO et al.Arch Ophthalmol. 2002 |
| central retinal thickness (CRT) | Bio-imaging | Tissue | prediction | Gordon MO et al.Arch Ophthalmol. 2002 |
| neuroglobin | Protein | Tissue | prediction | Ovono Abessolo F et al.Ann Biol Clin (Paris). 2019 |
| agonistic autoantibodies (agAAb) activating the β2-adrenergic receptor | Protein | Tissue | prediction | Hohberger B et al.Front Immunol. 2019 |
| protein carbonyls and advanced glycation end products (AGEs) | Protein | Blood | prediction | Hondur G et al. Invest Ophthalmol Vis Sci. 2017 |
| IL-4 | Cytokine | Tissue | prediction | Burgos-Blasco B et al.Acta Ophthalmol. 2020 |
| IL-12 | Cytokine | Tissue | prediction | Burgos-Blasco B et al.Acta Ophthalmol. 2020 |
| IL-15 | Cytokine | Tissue | prediction | Burgos-Blasco B et al.Acta Ophthalmol. 2020 |
| FGF-basic | Protein | Tissue | prediction | Burgos-Blasco B et al.Acta Ophthalmol. 2020 |
| VEGF | Protein | Tissue | prediction | Burgos-Blasco B et al.Acta Ophthalmol. 2020 |
| CALD1 | Protein | Tissue | prediction | Beutgen VM et al.Front Immunol. 2019 |
| PGAM1 | Protein | Tissue | prediction | Beutgen VM et al.Front Immunol. 2019 |
| VDAC2 | Protein | Tissue | prediction | Beutgen VM et al.Front Immunol. 2019 |
| optic disc hemorrhages | Bio-imaging | Tissue | prediction | Ozturker ZK et al.Can J Ophthalmol. 2017 |
| glutathione levels in leukocytes | Metabolite | Blood | prediction | Yabana T et al.PLoS One. 2019 |
| glucose-1-phosphate | Metabolite | Blood | prediction | Pan CW et al.BMC Ophthalmol. 2020 |
| methylmalonic acid | Metabolite | Blood | prediction | Pan CW et al.BMC Ophthalmol. 2020 |
| spermidine 2 | Metabolite | Blood | prediction | Pan CW et al.BMC Ophthalmol. 2020 |
| N-cyclohexylformamide 1 | Metabolite | Blood | prediction | Pan CW et al.BMC Ophthalmol. 2020 |
| sorbitol | Metabolite | Blood | prediction | Pan CW et al.BMC Ophthalmol. 2020 |
| biotin | Metabolite | Blood | prediction | Pan CW et al.BMC Ophthalmol. 2020 |
| pelargonic acid | Metabolite | Blood | prediction | Pan CW et al.BMC Ophthalmol. 2020 |
| 2-mercaptoethanesulfonic acid 2 | Metabolite | Blood | prediction | Pan CW et al.BMC Ophthalmol. 2020 |
| mannose 1 | Metabolite | Blood | prediction | Pan CW et al.BMC Ophthalmol. 2020 |
| d-erythronolactone 2 | Metabolite | Blood | prediction | Pan CW et al.BMC Ophthalmol. 2020 |
| dehydroascorbic acid 2 | Metabolite | Blood | prediction | Pan CW et al.BMC Ophthalmol. 2020 |
| ribitol | Metabolite | Blood | prediction | Pan CW et al.BMC Ophthalmol. 2020 |
| D-Talose 1 | Metabolite | Blood | prediction | Pan CW et al.BMC Ophthalmol. 2020 |
| spontaneous retinal venous pulsatility (SRVP) | Bio-imaging | Tissue | diagnosis | Golzan SM et al.PLoS One. 2015 |
| placental growth factor (PLGF) | Protein | Blood | prediction | Kovacs K et al.Invest Ophthalmol Vis Sci. 2015 |
| VEGF-A | Protein | Blood | prediction | Kovacs K et al.Invest Ophthalmol Vis Sci. 2015 |
| IL-6 | Cytokine | Blood | prediction | Kovacs K et al.Invest Ophthalmol Vis Sci. 2015 |
| IL-8 | Cytokine | Blood | prediction | Kovacs K et al.Invest Ophthalmol Vis Sci. 2015 |
| IOP fluctuation | Bio-imaging | Tisuue | prediction | Cheung CY et al.Br J Ophthalmol. 2020 |
| matrix metalloproteinase-9 (MMP-9) | Protein | Blood | prediction | Kim DW et al.Eye (Lond). 2021 |
| plasma citrate levels | Metabolite | Blood | prediction | Fraenkl SA et al.J Ocul Pharmacol Ther. 2011 |
| skin autofluorescence (sAF) | Bio-imaging | mechine | prediction | Schweitzer C et al.Invest Ophthalmol Vis Sci. 2018 |
| advanced glycation end products (AGEs) | Metabolite | Blood | prediction | Schweitzer C et al.Invest Ophthalmol Vis Sci. 2018 |
| malondialdehyde (MDA) | Metabolite | Blood | prediction | Nucci C et al.Mol Vis. 2013 |
| total antioxidant capacity (TAC) | Metabolite | Blood | prediction | Nucci C et al.Mol Vis. 2013 |
| brain-derived neurotrophic factor（BDNF） | Protein | Blood | prediction | Ghaffariyeh A et al.Optom Vis Sci. 2011 |
| increased erythrocyte aggregation | Blood measures | Blood | prediction | Kilic-Toprak E et al.Clin Exp Optom. 2016 |
| transient receptor potential cation channel 6 | DNA | DNA | diagnosis | Chen S, Clin Exp Ophthalmol. 2013 |
| baseline IOP | Bio-imaging | tissue | prognosis | Hodge WG,Br J Ophthalmol. 2005 |
| insulin-like growth factor-II | DNA | chromosome | diagnosis | Tsai FJ,J Clin Lab Anal. 2003 |
| optic disc hemorrhages | Bio-imaging | tissue | diagnosis | Gracitelli CP, PLoS One. 2014 |
| superoxide dismutase (SOD2) | DNA | chromosome | prediction | Abu-Amero, Khaled K et al. Ophthalmic genetics vol. 36,2 (2015) |
| cup shape measure | Bio-imaging | tissue | prognosis | Harju M,Br J Ophthalmol. 2001 |
| intraocular pressure (IOP) | Bio-imaging | tissue | prognosis | Shaarawy T,Br J Ophthalmol. 2004 |
| visual field index | Bio-imaging | tissue | diagnosis | Giraud JM, J Fr Ophtalmol. 2010 |
| in Ocular Hypertension | Bio-imaging | tissue | diagnosis | Giraud JM, J Fr Ophtalmol. 2010 |
| tumour necrosis factor alpha | DNA | chromosome | diagnosis | Lin HJ,Eye (Lond). 2003 |
| optic nerve head (ONH) | Bio-imaging | tissue | diagnosis | Caprioli J,Arch Ophthalmol. 1985 |
| Intraocular pressure | Bio-imaging | tissue | prognosis | García-Pérez JL, J Cataract Refract Surg. 2008 |
| Blue-on-yellow perimetry | Bio-imaging | tissue | diagnosis | Johnson CA, Arch Ophthalmol. 1993 |
| total antioxidant status (TAS) | Metabolite | blood | diagnosis | Abu-Amero KK,BMC Res Notes. 2014 |
| cyclic AMP | Metabolite | celluar | diagnosis | Tang Y, Front Pharmacol. 2021 |
| 2-methylbenzoic acid | Metabolite | celluar | diagnosis | Tang Y, Front Pharmacol. 2021 |
| 3'-sialyllactose | Metabolite | celluar | diagnosis | Tang Y, Front Pharmacol. 2021 |
| N-lac-phe | Metabolite | celluar | diagnosis | Tang Y, Front Pharmacol. 2021 |
| optic disk | Bio-imaging | Tissue | diagnosis | Makashova NV,Vestn Oftalmol. 2007 |
| ADORA3 | Metabolite | tissue | diagnosis | Ziyu ZhouZiyu Zhou et al.Ann Transl Med . 2021 |
| MLIP | Protein | tissue | diagnosis | María I Canut et al.Sci Rep . 2021 |
| nesfatin-1 | Protein | tissue | diagnosis | Milena Pahlitzsch et al.Clin Ophthalmol . 2021 |
| prelaminar wedge-shaped defects | Eye measures | tissue | diagnosis | Carolina A Chiou et al.Curr Eye Res . 2021 |
| brain-derived neurotrophic factor（BDNF） | Protein | tissue | prediction | Tsutomu Igarashi et al.J Nippon Med Sch . 2021 |
| scleral spur length | Eye measures | tissue | prediction | Mu Li et al.Graefes Arch Clin Exp Ophthalmol . 2020 |
| 8-hydroxy-2'-deoxyguanosine (8-OHdG) | Metabolite | blood | prediction | Altaf A Kondkar et al.J Ophthalmol . 2020 |
| hsa-miR-210-3p | miRNA | blood | prediction | Yaoming Liu et al.Invest Ophthalmol Vis Sci . 2019 |
| pattern electroretinogram | Eye measures | machine | prediction | Homa Hassankarimi et al.Int Ophthalmol . 2019 |
| glycine | Metabolite | machine | prediction | Xueli Chen et al.Mol Vis . 2019 |
| central corneal thickness (CCT) | Eye measures | database | prediction | Lalit Agarwal et al.Nepal J Ophthalmol . 2019 |
| MMP-9 | Metabolite | tissue | diagnosis | Anna Zaleska-Żmijewska et al.J Ophthalmol . 2019 Apr |
| CALD1 | Protein | tissue | diagnosis | Vanessa M Beutgen et al.Front Immunol . 2019 |
| PGAM1 | Protein | tissue | diagnosis | Vanessa M Beutgen et al.Front Immunol . 2019 |
| VDAC2 | Protein | tissue | diagnosis | Vanessa M Beutgen et al.Front Immunol . 2019 |
| SIX6 | DNA | blood | diagnosis/prediction | Shi Song Rong et al.Exp Eye Res . 2019 |
| retinal nerve fiber layer (RNFL) | Bio-imaging | machine | prediction | Sasan Moghimi et al.Ophthalmology . 2018 |
| TNF-α | Cytokine | plasma | prediction | Altaf A Kondkar et al.Clin Ophthalmol . 2018 |
| skin autofluorescence (sAF) | Metabolite | machine | prediction | Cedric Schweitzer et al.Invest Ophthalmol Vis Sci . 2018 |
| CVP in red-free RNFL images | Bio-imaging | blood | prediction | Yong Ju Song et al.pn J Ophthalmol . 2017 |
| RGC+IPL loss | Bio-imaging | machine | prediction | Alisa J Prager et al.JAMA Ophthalmol . 2017 |
| segmented IPL thickness | Bio-imaging | machine | prediction | Eun Kyoung Kim et al.PLoS One . 2017 |
| visual field index (VFI) | Eye measures | machine | prediction | Natalia A Iutaka et al.J Ophthalmic Vis Res .2017 |
| increased peripapillary atrophy | Bio-imaging | eye | progression | Makashova, N V, and E G Eliseeva. Vestnik oftalmologii vol. 2007 |
| central corneal thickness (CCT) | Bio-imaging | eye | progression | European Glaucoma Prevention Study (EGPS) Group et al. Ophthalmology vol. 2007 |
| vertical C/D ratio asymmetry | Bio-imaging | eye | progression | European Glaucoma Prevention Study (EGPS) Group et al. Ophthalmology vol. 2007 |
| OPA1 | DNA | blood | prediction | Mabuchi, Fumihiko et al. American journal of ophthalmology vol. 2007 |
| myocilin | DNA | blood | diagnosis | Baird, Paul N et al. Human genetics vol. 2005 |
| peripapillary NFL thickness | Bio-imaging | eye | diagnosis | Leung, Christopher K S et al.Ophthalmology vol.2005 |
| entropion uveae (EU) | Bio-imaging | eye | diagnosis | Sihota, R et al. European journal of ophthalmology vol. 2004 |
| IL-1 | DNA | blood | prediction | Lin, Hui-Ju et al. Zeitschrift fur Augenheilkunde vol. 2003 |
| myocilin | DNA | blood | progression | Polansky, J R et al. Clinical genetics vol. 200. |
| IGF-II | DNA | blood | prediction | Tsai, Fuu-Jen et al. Journal of clinical laboratory analysis vol. 200. |
| tumour necrosis factor alpha -308 gene | DNA | blood | prediction | Lin, H-J et al. Eye (London, England) vol.2003 |
| pattern electroretinogram (PERG) | Eye measures | diagnosis | Lan, Y et al. Eye science vol.1998 | |
| humphery automated perimetry tests | Eye measures | diagnosis | Lan, Y et al. Eye science vol.1998 | |
| oscillatory potentials (OPs) | Bio-imaging | eye | diagnosis | Lan, Y et al. Yan ke xue bao = Eye science vol. 1992 |
| 1q43 | Genetic locus | Tissue | diagnosis | Kim K et al.Eur J Hum Genet. 2014 |
| 10p12.31 | DNA | Tissue | diagnosis | Kim K et al.Eur J Hum Genet. 2014 |
| intrinsically photosensitive (melanopsin) retinal ganglion cell | Bio-imaging | Tissue | prediction | Feigl B et al.Invest Ophthalmol Vis Sci. 2011 |
| biological antioxidant potential (BAP) | Metabolite | Blood | prediction | Asano Y et al.Sci Rep. 2017 |
| nail bed hemorrhage | Bio-imaging | Tissue | prediction | Park HY et al.Arch Ophthalmol. 2011 |
| central corneal thickness (CCT) | Bio-imaging | Tissue | prediction | Iyamu E et al.Afr J Med Med Sci. 2008 |
| foveal avascular zone (FAZ) perimeter | Bio-imaging | Tissue | prediction | Kwon J et al.J Glaucoma. 2017 |
| NT-proANP | Protein | Tissue | prediction | Baumane K et al.Curr Eye Res. 2017 |
| nasalized location of central retinal vessel trunk (CRVT) at baseline | Bio-imaging | Tissue | prediction | Shon K et al.Sci Rep. 2020 |
| nerve fiber indicator (NFI) | Bio-imaging | Tissue | prediction | Iester M et al.J Glaucoma. 2006 |
| total antioxidant status (TAS) | Metabolite | Blood | prediction | Abu-Amero KK et al.Curr Eye Res. 2013 |
| central corneal thickness (CCT) | Bio-imaging | Tissue | prediction | Hewitt AW et al.Clin Exp Ophthalmol. 2005 |
| NCK2 | DNA | DNA | prediction | Akiyama M et al.Br J Ophthalmol. 2008 |
| manganese superoxide dismutase gene (Mn-SOD) | DNA | DNA | prediction | Abu-Amero KK et al.Ophthalmic Genet. 2014 |
| the level of retinal blood flow | Bio-imaging | Blood | prediction | Logan JF et al.Br J Ophthalmol. 2004 |
| multifocal ERG wavelet packet decomposition | Bio-imaging | Tissue | diagnosis | Miguel-Jiménez JM et al.Biomed Eng Online. 2011 |
| MP index | Bio-imaging | Tissue | prediction | Levine RA et al. Invest Ophthalmol Vis Sci. 2006 |
| IOP asymmetry | Bio-imaging | Tissue | prediction | Levine RA et al. Invest Ophthalmol Vis Sci. 2006 |
| binocular test point asymmetry | Bio-imaging | Tissue | prediction | Levine RA et al. Invest Ophthalmol Vis Sci. 2006 |
| older individuals' retinal thickness (RT) | Bio-imaging | Tissue | prediction | Jampel H et al.J Glaucoma. 2009 |
| iris thickness | Bio-imaging | Tissue | prediction | Atalay E et al. Invest Ophthalmol Vis Sci. 2016 |
| nitric oxide (NO) | Metabolite | Tissue | prediction | Doganay S et al.Eur J Ophthalmol. 2002 |
| baseline age | Other | age | prediction | Miglior S et al.Ophthalmology. 2007 |
| vertical C/D ratio | Bio-imaging | Tissue | prediction | Miglior S et al.Ophthalmology. 2007 |
| vertical C/D ratio asymmetry | Bio-imaging | Tissue | prediction | Miglior S et al.Ophthalmology. 2007 |
| pattern standard deviation (PSD) | Bio-imaging | Tissue | prediction | Miglior S et al.Ophthalmology. 2007 |
| central corneal thickness (CCT) | Bio-imaging | Tissue | prediction | Miglior S et al.Ophthalmology. 2007 |
| LOXL1 | DNA | Tissue | prediction | Fan BJ et al.BMC Med Genet. 2008 |
| retinal nerve fiber layer thickness (RNFLT) | Bio-imaging | Tissue | prediction | Khanal S et al.J Optom. 2014 |
| CYP1B1 | DNA | chromosome | prediction | Belmouden A,Clin Genet. 2002 |
| retinal nerve fiber layer (NFL) | Bio-imaging | tissue | diagnosis | Quigley HA,Arch Ophthalmol. 1980 |
| p53 | DNA | chromosome | prediction | Acharya M,Mol Vis. 2002 |
| OPA1 | DNA | chromosome | diagnosis | Aung T,Hum Genet. 2002 |
| retinal nerve fiber layer (RNFL) thickness | Bio-imaging | tissue | diagnosis | Greenfield DS,Arch Ophthalmol. 2003 |
| Intraocular pressure (IOP) | Bio-imaging | tissue | prognosis | Elahi S,J Glaucoma. 2020 |
| retinal ganglion cell counts | Bio-imaging | cellular | diagnosis | Rolle T,Invest Ophthalmol Vis Sci. 2016 |
| retinal nerve fiber layer (RNFL) | Bio-imaging | tissue | diagnosis | Li M. Zhonghua Yan Ke Za Zhi. 1990 |
| ocular perfusion pressure | Bio-imaging | tissue | prognosis | Lee J,Epub 2015 |
| choroidal thickness (CT) | Bio-imaging | tissue | diagnosis | Kurysheva NI,Epub 2016 |
| 2p16 | DNA | chromosome | prediction | Jiao X, Epub 2009 |
| lamina cribrosa depth (LCD) | Bio-imaging | tissue | prediction | Kim YN,Korean J Ophthalmol. 2018 |
| spontaneous venous pulsation (SVP) | Bio-imaging | tissue | prognosis | Abegão Pinto L, Epub 2012 |
| central corneal thickness (CCT) | Bio-imaging | tissue | prognosis | Fernandez-Bahamonde JL, Semin Ophthalmol. 2011 |
| choroidal volume | Bio-imaging | tissue | prediction | Sullivan-Mee M,Epub 2015 |
| beta-zone parapapillary atrophy | Bio-imaging | tissue | prediction | Sullivan-Mee M,Epub 2015 |
| axial length (AL) | Bio-imaging | tissue | diagnosis | Sihota R,Epub 2007 |
| anterior chamber depth (ACD) | Bio-imaging | tissue | diagnosis | Sihota R,Epub 2007 |
| lens thickness (LT) | Bio-imaging | tissue | diagnosis | Sihota R,Epub 2007 |
| central corneal thickness (CCT) | Bio-imaging | tissue | diagnosis | Sihota R,Epub 2007 |
| SNPs on chromosome 2p | DNA | chromosome | prediction | Balasubbu S,Invest Ophthalmol Vis Sci. 2012 |
| SNPs on chromosome 2p | DNA | chromosome | prediction | Balasubbu S,Invest Ophthalmol Vis Sci. 2012 |
| bone lead | Other | tissue | diagnosis | Wang W,Environ Health Perspect. 2018 |
| AIF | Protein | serum | diagnosis | Tezel G, Invest Ophthalmol Vis Sci. 2012 |
| cyclic AMP-responsive element binding protein | Protein | serum | diagnosis | Tezel G, Invest Ophthalmol Vis Sci. 2012 |
| ephrin type-A receptor | Protein | serum | diagnosis | Tezel G, Invest Ophthalmol Vis Sci. 2012 |
| huntingtin | Protein | serum | diagnosis | Tezel G, Invest Ophthalmol Vis Sci. 2012 |
| miR-4667-5p | miRNA | blood and AH | diagnosis | Hindle AG,Invest Ophthalmol Vis Sci. 2019 |
| miR-99b-3p | miRNA | blood and AH | diagnosis | Hindle AG,Invest Ophthalmol Vis Sci. 2019 |
| miR-637 | miRNA | blood and AH | diagnosis | Hindle AG,Invest Ophthalmol Vis Sci. 2019 |
| miR-4490 | miRNA | blood and AH | diagnosis | Hindle AG,Invest Ophthalmol Vis Sci. 2019 |
| miR-1253 | miRNA | blood and AH | diagnosis | Hindle AG,Invest Ophthalmol Vis Sci. 2019 |
| miR-3190-3p | miRNA | blood and AH | diagnosis | Hindle AG,Invest Ophthalmol Vis Sci. 2019 |
| miR-3173-3p | miRNA | blood and AH | diagnosis | Hindle AG,Invest Ophthalmol Vis Sci. 2019 |
| miR-608 | miRNA | blood and AH | diagnosis | Hindle AG,Invest Ophthalmol Vis Sci. 2019 |
| miR-4725-3p | miRNA | blood and AH | diagnosis | Hindle AG,Invest Ophthalmol Vis Sci. 2019 |
| miR-4448 | miRNA | blood and AH | diagnosis | Hindle AG,Invest Ophthalmol Vis Sci. 2019 |
| miR- 323b-5p | miRNA | blood and AH | diagnosis | Hindle AG,Invest Ophthalmol Vis Sci. 2019 |
| miR-4538 | miRNA | blood and AH | diagnosis | Hindle AG,Invest Ophthalmol Vis Sci. 2019 |
| miR-3913-3p | miRNA | blood and AH | diagnosis | Hindle AG,Invest Ophthalmol Vis Sci. 2019 |
| miR-3159 | miRNA | blood and AH | diagnosis | Hindle AG,Invest Ophthalmol Vis Sci. 2019 |
| miR-4663 | miRNA | blood and AH | diagnosis | Hindle AG,Invest Ophthalmol Vis Sci. 2019 |
| miR-476 | miRNA | blood and AH | diagnosis | Hindle AG,Invest Ophthalmol Vis Sci. 2019 |
| miR-4724-5p | miRNA | blood and AH | diagnosis | Hindle AG,Invest Ophthalmol Vis Sci. 2019 |
| miR-1306-5p | miRNA | blood and AH | diagnosis | Hindle AG,Invest Ophthalmol Vis Sci. 2019 |
| miR-181b-3p | miRNA | blood and AH | diagnosis | Hindle AG,Invest Ophthalmol Vis Sci. 2019 |
| miR-433-3p | miRNA | blood and AH | diagnosis | Hindle AG,Invest Ophthalmol Vis Sci. 2019 |
| miR-637 | miRNA | blood and AH | diagnosis | Hindle AG,Invest Ophthalmol Vis Sci. 2019 |
| miR-1306-5p | miRNA | blood and AH | diagnosis | Hindle AG,Invest Ophthalmol Vis Sci. 2019 |
| miR-3159 | miRNA | blood and AH | diagnosis | Hindle AG,Invest Ophthalmol Vis Sci. 2019 |
| soluble CD44 (sCD44) | Protein | AH | prognosis | Nolan MJ,J Glaucoma. 2007 |
| optic nerve head (ONH) | Bio-imaging | tissue | prognosis | Moghimi S, Ophthalmology. 2018 |
| macular vessel density (VD) | Bio-imaging | tissue | prognosis | Moghimi S, Ophthalmology. 2018 |
| peripapillary atrophy | Symptom | tissue | prognosis | Uchida H,Ophthalmology. 1998 |
| 3 alpha-hydroxysteroid dehydrogenase (3 alpha-HSD) | Protein | blood | diagnosis | Weinstein BI,Exp Eye Res. 1996 |
| endoplasmic reticulum (ER) | Other | cellular | treatment | Peters JC, Invest Ophthalmol Vis Sci. 2015 |
| myopia | Disease | machine | prognosis | Qiu, Mary et al.Investigative ophthalmology & visual science vol. 2013 |
| smoking | Other | machine | diagnosis | Zanon-Moreno, Vicente et al. Molecular vision vol. 2009 |
| TIGR/MYOC mt.1(+) | Protein | blood | prognosis | J R Polansky et al.Clin Genet. 2003 |
| trans-lamina cribrosa pressure difference (TLCPD) | Eye measures | machine | diagnosis | Jost B Jonas et al.Acta Ophthalmol . 2015 |
| intraocular pressure (IOP) | Eye measures | machine | diagnosis | Jost B Jonas et al.Acta Ophthalmol . 2015 |
| color vision defects | Eye measures | machine | diagnosis | J B Jonas et al.Fortschr Ophthalmol . 1990 |
| neuroretinal rim (NRR) thicknesses | Bio-imaging | machine | diagnosis | Tzu-Yang Tai et al.J Chin Med Assoc . 2020 |
| the macular vessel density (VD) | Bio-imaging | machine | diagnosis | Jaewan Choi et al.PLoS One . 2017 |
| foveal avascular zone (FAZ) | Bio-imaging | machine | diagnosis | Jaewan Choi et al.PLoS One . 2017 |
| temporal/nasal ratio of MBR in the tissue area: T/N MT | Bio-imaging | machine | diagnosis | Wataru Kobayashi et al.J Ophthalmol . 2014 |
| gonioscopically narrow angles | Bio-imaging | machine | prediction | Michael I Seider et al.J Glaucoma . Oct-Nov 2009; |
| anterior chamber depth (ACD) | Bio-imaging | machine | prediction | Saskia H M van Romunde et al,J Ophthalmol . 2013 |
| axial length (AL) | Bio-imaging | machine | prediction | Saskia H M van Romunde et al,J Ophthalmol . 2013 |
| an enlargement of parapapillary atrophy | Bio-imaging | machine | diagnosis | Wido M Budde et al.Am J Ophthalmol . 2004 |
| relative peripapillary retinal surface height (RPSH) | Bio-imaging | machine | diagnosis | H J Park et al.Korean J Ophthalmol . 1997 |
| increased disk size | Bio-imaging | machine | diagnosis | Lan Wang et al .Am J Ophthalmol . 2003 |
| OPA1 | DNA | blood | prediction | Fumihiko Mabuchi et al.Am J Ophthalmol . 2007 |
| CYP46A1 | DNA | blood | prediction | Anu Chandra Middle East Afr J Ophthalmol . Apr-Jun 2016 |
| PPARγ2 | DNA | blood | prediction | Anu Chandra Middle East Afr J Ophthalmol . Apr-Jun 2016 |
| IL-1beta | DNA | blood | prediction | Hui-Ju Lin full text links full text provider logo actions Cite Favorites share page navigation Title & authors Abstract Similar articles Cited by MeSH terms Substances Related information LinkOut - more resources Ophthalmologica . Sep-Oct 2003 |
| 3p21-p22 | Genetic locus | blood | prediction | Paul N Baird Hum Genet . 2005 |
| 2p16.3 | Genetic locus | blood | diagnosis | Li Jia Chen Mol Vis . 2012 |
| MLIP | DNA | blood | prediction | María I Canut Sci Rep . 2021 |
| MYOC | DNA | analysis | diagnosis | Owen M Siggs JAMA Ophthalmol . 2021 |
| segmented IPL thickness | Bio-imaging | machine | prognosis | Eun Kyoung Kim et al.PLoS One . 2017 |
| the macular ganglion cell complex thickness (GCCT) | Bio-imaging | machine | prediction | Hiroko Inuzuka J Glaucoma . 2014 |
| the degree of curvature of the retinal artery trajectory (RAT) | Bio-imaging | machine | prediction | Takehiro Yamashita Invest Ophthalmol Vis Sci . 2015 |
| generalized retinal arteriolar narrowing | Bio-imaging | machine | prognosis | Paul Mitchell Ophthalmology . 2005 |
| macular NFL thickness, | Bio-imaging | machine | diagnosis | Christopher K S Leung Ophthalmology . 2005 |
| total macular thickness | Bio-imaging | machine | diagnosis | Christopher K S Leung Ophthalmology . 2005 |
| peripapillary NFL thickness | Bio-imaging | machine | diagnosis | Christopher K S Leung Ophthalmology . 2005 |
| retinal nerve fiber layer (RNFL) thinning | Bio-imaging | machine | prediction | Stuart K Gardiner Am J Ophthalmol . 2016 |
| the BM opening-minimum rim width (BMO-MRW) | Bio-imaging | machine | prediction | Balwantray C Chauhan Ophthalmology . 2013 |
| peripapillary retinal nerve fiber layer (NFL) | Bio-imaging | machine | prediction | Xinbo Zhang Am J Ophthalmol . 2016 |
| macular ganglion cell complex (mGCC) | Bio-imaging | machine | prediction | Xinbo Zhang Am J Ophthalmol . 2017 |
| microvasculature dropout (MvD | Bio-imaging | machine | prognosis | Hae-Young Lopilly Park Ophthalmology . 2018 |
| OCT parameters including retinal nerve fibre layer and ganglion cell complex | Bio-imaging | machine | prediction | Omer Karti Clin Exp Optom . 2017 |
| average and 7 clock-hour RNFL thicknesses | Bio-imaging | machine | diagnosis | Carlos Salvador Fernandez Escamez Int J Ophthalmol . 2021 |
| the FA value of the optic tract | Bio-imaging | machine | diagnosis | Mu Li Exp Ther Med . 2019 |
| macular vessel density (VD) | Bio-imaging | machine | diagnosis | Yanjiao Huo Graefes Arch Clin Exp Ophthalmol . 2021 |
| macular ganglion cell layer (mGCL) | Bio-imaging | machine | diagnosis | Luis G Aquino J Curr Glaucoma Pract . May-Aug 2020; |
| visual field index (VFI) | Bio-imaging | machine | diagnosis | Natalia A Iutaka J Ophthalmic Vis Res . Jan-Mar 2017 |
| macular ganglion cell complex (mGCC) thickness | Bio-imaging | machine | prognosis | Ayako Anraku J Ophthalmol . 2017 |
| ganglion cell layer (GCL) + inner plexiform layer (IPL) | Bio-imaging | machine | prediction | Tadashi Nakano Clin Ophthalmol . 2016 |
| regional reduced macula VD | Bio-imaging | machine | diagnosis | Bettina Hohberger PLoS One . 2021 |
| bruch's membrane opening-minimum rim width (BMO-MRW) | Bio-imaging | machine | prognosis | Kyoichi Mizumoto，Clin Ophthalmol . 2014 |
| reactive oxygen species (ROS) | Metabolite | machine | prognosis | Tanuj Dada et al.J Glaucoma . 2018 |
| plasma citrate concentration | Metabolite | blood | diagnosis | Marta Michalczuk BMJ Paediatr Open . 2017 |
| 8-hydroxy-2'-deoxyguanosine (8-OHdG) | Metabolite | blood | prognosis | Altaf A Kondkar J Ophthalmol. 2020 |
| hydrogen sulfide (H2S) | Metabolite | blood | diagnosis | Zhongjing Lin J Ocul Pharmacol Ther . 2020 |
| homocysteine (Hcy) | Metabolite | blood | diagnosis | Zhongjing Lin J Ocul Pharmacol Ther . 2020 |
| L-cysteine (Cys) | Metabolite | blood | diagnosis | Zhongjing Lin J Ocul Pharmacol Ther . 2020 |
| relative DNA hypomethylation of Alu | Metabolite | blood | prognosis | Sunee Chansangpetch J Ophthalmol . 2018 |
| relative DNA hypermethylation of HERV-K | Metabolite | blood | prognosis | Sunee Chansangpetch J Ophthalmol . 2018 |
| heparan sulfate (HS) | Metabolite | blood | diagnosis | Vesna D Maric PeerJ . 2019 |
| chondroitin sulfate (CS) | Metabolite | blood | diagnosis | Vesna D Maric PeerJ . 2019 |
| the total antioxidant capacity (TAC) | Metabolite | blood | diagnosis | Marta Aranaz Anal Bioanal Chem . 2021 |
| P level | Metabolite | blood | diagnosis | Marta Aranaz Anal Bioanal Chem . 2021 |
| mg level | Metabolite | blood | diagnosis | Marta Aranaz Anal Bioanal Chem . 2021 |
| the Zn isotopic composition | Metabolite | blood | diagnosis | Marta Aranaz Anal Bioanal Chem . 2021 |
| asymmetric dimethyloarginin or dimethylarginin (ADMA) | Metabolite | aqueous | prognosis | Dimitrios G Mikropoulos Curr Eye Res . 2013 |
| albuminuria | Metabolite | tissue | prognosis | Gyu Ah Kim PLoS One . 2016 |
| the oral microbiome | Other | tissue | prediction | Daniel Polla J Glaucoma . 2017 |
| flow-mediated dilatation (FMD) | Eye measures | machine | prognosis | Mustafa Atas J Ophthalmol . 2014 |
| intraocular pressure (IOP) | Eye measures | machine | prognosis | Tanuj Dada et al.J Glaucoma . 2018 |
| cortisol | Metabolite | machine | prognosis | Tanuj Dada et al.J Glaucoma . 2018 |
| total antioxidant capacity (TAC) | Other | machine | prognosis | Tanuj Dada et al.J Glaucoma . 2018 |
| ocular surface temperature (OST) | Eye measures | machine | prognosis | Fernando Galassi Br J Ophthalmol . 2007 |
| the duration of diabetes | Other | blood | prediction | Sheetal Dharmadhikari Oman J Ophthalmol . Jan-Apr 2015 |
| chronic kidney disease | Disease | machine | prediction | Richard Luke Ford J Glaucoma . 2021 |
| short-duration transient visual evoked potential (SD-tVEP) | Eye measures | machine | prognosis | Richard Trevino J Curr Glaucoma Pract . Jan-Apr 2018 |
| corneal hysteresis (CH) | Eye measures | The UK Biobank | diagnosis | Bing Zhang Ophthalmology . 2019 |
| IL6 | Cytokine | machine | prognosis | Tanuj Dada et al.J Glaucoma . 2018 |
| TNF-α | Protein | machine | prognosis | Tanuj Dada et al.J Glaucoma . 2018 |
| elevated β-endorphins | Protein | machine | prognosis | Tanuj Dada et al.J Glaucoma . 2018 |
| brain-derived neurotrophic factor (BDNF) | Protein | machine | prognosis | Tanuj Dada et al.J Glaucoma . 2018 |
| T lymphocytes | Protein | blood | prognosis | Xiangjun Yang Invest Ophthalmol Vis Sci . 2019 |
| CCR4 and CCR5 | Protein | tissue | prognosis | H Liang J Fr Ophtalmol . 2006 |
| serum autoantibodies to alpha-fodrin | Protein | blood | prognosis | Franz H Grus Invest Ophthalmol Vis Sci . 2006 |
| TNF-α | Protein | blood | prediction | Altaf A Kondkar Clin Ophthalmol. 2018 |
| myelin basic protein (MBP) | Protein | blood | diagnosis | Young Joo Shin Diagnostics (Basel) . 2020 |
| heat shock protein 60 | Protein | blood | diagnosis | Young Joo Shin Diagnostics (Basel) . 2020 |
| anti-Sjögren’s-syndrome-related antigen A (SSA) and antigen B (SSB) | Protein | blood | diagnosis | Young Joo Shin Diagnostics (Basel) . 2020 |
| anti-α-fodrin | Protein | blood | diagnosis | Young Joo Shin Diagnostics (Basel) . 2020 |
| anti-nucleic acid | Protein | blood | diagnosis | Young Joo Shin Diagnostics (Basel) . 2020 |
| sCD44 | Protein | blood | diagnosis | Yasemin U Budak BMC Res Notes . 2009 |
| drebrin and tau levels | Protein | blood | prognosis | Yi-Jing Gan Front Neurosci . 2019 |
| tear fluid and aqueous humor concentration of clusterin | Protein | tear fluid | diagnosis | Birsen Can Demirdöğen Curr Eye Res . 2020 |
| TNF-α | Protein | blood | diagnosis | Altaf A Kondkar Clin Ophthalmol. 2018 |
| C3a/C3 ratios | Protein | blood | diagnosis | W H G Hubens Exp Eye Res . 2021 |
| PNMA2, TARS, and C1QBP autoantibodies in the serum | Protein | blood | diagnosis | Vanessa M Beutgen Clin Transl Immunology . 2020 |
| β2-agAAb | Protein | machine | diagnosis | Bettina Hohberger PLoS One . 2021 |
| NUCB2/nesfatin-1 | Protein | blood | diagnosis | Milena Pahlitzsch Clin Ophthalmol . 2021 |
| tumor necrosis factor alpha (TNF-α) | Protein | aqueous humor | prognosis | Sankarathi Balaiya Clin Ophthalmol . 2011 |
| glycine | Metabolite | aqueous humor (AH) | treatment | Xueli Chen et al.Mol Vis . 2019 |
| urea | Metabolite | aqueous humor (AH) | treatment | Xueli Chen et al.Mol Vis . 2019 |
| phenylalanine | Metabolite | aqueous humor (AH) | treatment | Xueli Chen et al.Mol Vis . 2019 |
| retinal nerve fiber layer (RNFL) | Bio-imaging | machine | prediction | Sasan Moghimi et al.Ophthalmology . 2018 |
| TNF-α | Cytokine | plasma | prediction | Altaf A Kondkar et al.Clin Ophthalmol . 2018 |
| skin autofluorescence (sAF) | Metabolite | machine | prediction | Cedric Schweitzer et al.Invest Ophthalmol Vis Sci . 2018 |
| CVP in red-free RNFL images | Bio-imaging | blood | prediction | Yong Ju Song et al.pn J Ophthalmol . 2017 |
| RGC+IPL loss | Bio-imaging | machine | prediction | Alisa J Prager et al.JAMA Ophthalmol . 2017 |
| MMP-9 | Protein | Tear | prediction | Prity Sahay et al.Invest Ophthalmol Vis Sci . 2017 |
| segmented IPL thickness | Bio-imaging | machine | prediction | Eun Kyoung Kim et al.PLoS One . 2017 |
| IGFR1R | DNA | venous blood | prediction | M Yu Kirilenko et al.Vestn Oftalmol . 2017 |
| combination of the C VEGF-A and T IGFR-1 genetic variants | DNA | venous blood | prediction | M Yu Kirilenko et al.Vestn Oftalmol . 2017 |
| combination of the C VEGF-A and T IGFR-1 genetic variants | DNA | venous blood | prediction | M Yu Kirilenko et al.Vestn Oftalmol . 2017 |
| visual field index (VFI) | Eye measures | machine | prediction | Natalia A Iutaka et al.J Ophthalmic Vis Res .2017 |
| NT-proANP | Protein | aqueous humor (AH) .plasma | prediction | Kristine Baumane et al.,Curr Eye Res .2016 |
| MTHFR | DNA | blood | prediction | Hamoud Al-Shahrani et al.BMC Ophthalmol . 2016 |
| increased erythrocyte aggregation | Blood measures | machine | prediction | Emine Kilic-Toprak et al. |
| CYP46A1 | DNA | blood | prediction | Anu Chandra et al.Middle East Afr J Ophthalmol . 2016 |
| PPARγ2 | DNA | blood | prediction | Anu Chandra et al.Middle East Afr J Ophthalmol . 2016 |
| TGF-β | Cytokine | blood | prediction | Guan Fook Ng et al.Open Ophthalmol J . 2015 |
| ACVR1 | DNA | tissue | prediction | Altaf A Kondkar J Investig Med . 2021 |
| papillomacular bundle defect (PMBD) | Bio-imaging | machine | diagnosis | Sung Uk Baek EPMA J . 2021 |
| central corneal thickness (CCT) | Bio-imaging | machine | prediction | Prasanna Venkatesh Ramesh J Clin Diagn Res . 2017 |
| prelaminar wedge defects (PLWDs) | Bio-imaging | machine | prognosis | Carolina A Chiou Curr Eye Res . 2021 |
| microvasculature dropout (MvD) | Bio-imaging | machine | prediction | Eun Ji Lee .Ophthalmol Glaucoma . Jan-Feb 2020 |
| dynamic iris change | Bio-imaging | machine | prediction | Jing-Min Guo .nt J Ophthalmol . 2015 |
| 8-hydroxy-2'-deoxyguanosine (8-OHdG) | Metabolite | blood | prognosis | Altaf A Kondkar J Ophthalmol. 2019 |
| gray matter volume (GMV) | Other | tissue | diagnosis | Zhang S,Invest Ophthalmol Vis Sci. 2015 |
| cerebral blood flow (CBF) | Other | tissue | diagnosis | Zhang S,Invest Ophthalmol Vis Sci. 2015 |
| matrix metalloproteinase-9 (MMP-9) | Protein | LF | diagnosis | Sahay P, Invest Ophthalmol Vis Sci. 2017 |
