Spatial distribution of metabolites in the retina and its relevance to studies of metabolic retinal disorders

被引:3
作者
Bonelli, Roberto [1 ,2 ]
Woods, Sasha M. [3 ]
Lockwood, Sarah [4 ]
Bishop, Paul N. [5 ,6 ]
Khan, Kamron N. [7 ]
Bahlo, Melanie [1 ,2 ]
Ansell, Brendan R. E. [1 ,2 ]
Fruttiger, Marcus [3 ]
机构
[1] Walter & Eliza Hall Inst Med Res, Populat Hlth & Immun Div, 1G Royal Parade, Parkville, Vic 3052, Australia
[2] Univ Melbourne, Dept Med Biol, Parkville, Vic 3010, Australia
[3] UCL, UCL Inst Ophthalmol, 11-43 Bath St, London EC1V 9EL, England
[4] Univ Calif Davis, CA Natl Primate Res Ctr, Davis, CA 95616 USA
[5] Univ Manchester, Fac Biol, Sch Biol Sci, Div Evolut Infect & Genom, Manchester M13 9PT, England
[6] Manchester Univ NHS Fdn Trust, Manchester Royal Eye Hosp, Manchester Acad Hlth Sci Ctr, Manchester M13 9WL, England
[7] Leeds Teaching Hosp NHS Trust, St Jamess Hosp, Leeds LS9 7TF, England
基金
澳大利亚国家健康与医学研究理事会; 英国医学研究理事会;
关键词
N-ACETYLASPARTYLGLUTAMATE; TAURINE; PHOTORECEPTORS; LOCALIZATION; DEGENERATION;
D O I
10.1007/s11306-022-01969-6
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction The primate retina has evolved regional specialisations for specific visual functions. The macula is specialised towards high acuity vision and is an area that contains an increased density of cone photoreceptors and signal processing neurons. Different regions in the retina display unique susceptibility to pathology, with many retinal diseases primarily affecting the macula.Objectives To better understand the properties of different retinal areas we studied the differential distribution of metabolites across the retina.Methods We conducted an untargeted metabolomics analysis on full-thickness punches from three different regions (macula, temporal peri-macula and periphery) of healthy primate retina.ResultsNearly half of all metabolites identified showed differential abundance in at least one comparison between the three regions. Furthermore, mapping metabolomics results from macula-specific eye diseases onto our region-specific metabolite distributions revealed differential abundance defining systemic metabolic dysregulations that were region specific.Conclusions The unique metabolic phenotype of different retinal regions is likely due to the differential distribution of different cell types in these regions reflecting the specific metabolic requirements of each cell type. Our results may help to better understand the pathobiology of retinal diseases with region specificity.
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页数:14
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共 45 条
  • [1] Integrating Metabolomics, Genomics, and Disease Pathways in Age-Related Macular Degeneration The EYE-RISK Consortium
    Acar, Ilhan E.
    Lores-Motta, Laura
    Colijn, Johanna M.
    Meester-Smoor, Magda A.
    Verzijden, Timo
    Cougnard-Gregoire, Audrey
    Ajana, Soufiane
    Merle, Benedicte M. J.
    de Breuk, Anita
    Heesterbeek, Thomas J.
    van den Akker, Erik
    Daha, Mohamed R.
    Claes, Birte
    Pauleikhoff, Daniel
    Hense, Hans-Werner
    van Duijn, Cornelia M.
    Fauser, Sascha
    Hoyng, Carel B.
    Delcourt, Cecile
    Klaver, Caroline C. W.
    Galesloot, Tessel E.
    den Hollander, Anneke, I
    [J]. OPHTHALMOLOGY, 2020, 127 (12) : 1693 - 1709
  • [2] N-ACETYLASPARTYLGLUTAMATE IDENTIFIED IN THE RAT RETINAL GANGLION-CELLS AND THEIR PROJECTIONS IN THE BRAIN
    ANDERSON, KJ
    BORJA, MA
    COTMAN, CW
    MOFFETT, JR
    NAMBOODIRI, MAA
    NEALE, JH
    [J]. BRAIN RESEARCH, 1987, 411 (01) : 172 - 177
  • [3] Bingol Kerem, 2018, High Throughput, V7, DOI 10.3390/ht7020009
  • [4] Boesze-Battaglia K, 1997, J EXP BIOL, V200, P2927
  • [5] BONE RA, 1988, INVEST OPHTH VIS SCI, V29, P843
  • [6] Genetic disruption of serine biosynthesis is a key driver of macular telangiectasia type 2 aetiology and progression
    Bonelli, Roberto
    Ansell, Brendan R. E.
    Lotta, Luca
    Scerri, Thomas
    Clemons, Traci E.
    Leung, Irene
    Peto, Tunde
    Bird, Alan C.
    Sallo, Ferenc B.
    Langenberg, Claudia
    Bahlo, Melanie
    [J]. GENOME MEDICINE, 2021, 13 (01)
  • [7] Bonelli R, 2021, COMMUN BIOL, V4, DOI 10.1038/s42003-021-01788-w
  • [8] Systemic lipid dysregulation is a risk factor for macular neurodegenerative disease
    Bonelli, Roberto
    Woods, Sasha M.
    Ansell, Brendan R. E.
    Heeren, Tjebo F. C.
    Egan, Catherine A.
    Khan, Kamron N.
    Guymer, Robyn
    Trombley, Jennifer
    Friedlander, Martin
    Bahlo, Melanie
    Fruttiger, Marcus
    [J]. SCIENTIFIC REPORTS, 2020, 10 (01)
  • [9] Bringmann Andreas, 2013, Front Endocrinol (Lausanne), V4, P48, DOI 10.3389/fendo.2013.00048
  • [10] Metabolomics and Age-Related Macular Degeneration
    Brown, Connor N.
    Green, Brian D.
    Thompson, Richard B.
    den Hollander, Anneke I.
    Lengyel, Imre
    Acar, Ilhan E.
    Ajana, Soufiane
    Arango-Gonzalez, Blanca
    Armento, Angela
    Badura, Franz
    Bartz-Schmidt, Karl U.
    Bhatia, Vaibhav
    Bhattacharya, Shomi S.
    Biarnes, Marc
    Borrell, Anna
    Calado, Sofia M.
    Colijn, Johanna M.
    Cougnard-Gregoire, Audrey
    Dammeier, Sascha
    de Breuk, Anita
    De la Cerda, Berta
    Delcourt, Cecile
    den Hollander, Anneke I.
    Diaz-Corrales, Francisco J.
    Diether, Sigrid
    Emri, Eszter
    Endermann, Tanja
    Ferraro, Lucia L.
    Garcia, Miriam
    Heesterbeek, Thomas J.
    Honisch, Sabina
    Hoyng, Carel B.
    Kilger, Ellen
    Klaver, Caroline C. W.
    Kortvely, Elod
    Langen, Hanno
    Lastrucci, Claire
    Lengyel, Imre
    Luthert, Phil
    Meester-Smoor, Magda
    Merle, Benedicte M. J.
    Mones, Jordi
    Nogoceke, Everson
    Peto, Tunde
    Pool, Frances M.
    Rodriguez-Bocanegra, Eduardo
    Serrano, Luis
    Sousa, Jose
    Thee, Eric F.
    Ueffing, Marius
    [J]. METABOLITES, 2019, 9 (01)