Literature DB >> 31289819

Early complement genes are associated with visual system degeneration in multiple sclerosis.

Kathryn C Fitzgerald1, Kicheol Kim2, Matthew D Smith1, Sean A Aston1, Nicholas Fioravante1, Alissa M Rothman1, Stephen Krieger3, Stacey S Cofield4, Dorlan J Kimbrough5, Pavan Bhargava1, Shiv Saidha1, Katharine A Whartenby1,6, Ari J Green2,7, Ellen M Mowry1, Gary R Cutter4, Fred D Lublin3, Sergio E Baranzini2, Philip L De Jager8,9, Peter A Calabresi1,10.   

Abstract

Multiple sclerosis is a heterogeneous disease with an unpredictable course and a wide range of severity; some individuals rapidly progress to a disabled state whereas others experience only mild symptoms. Though genetic studies have identified variants that are associated with an increased risk of developing multiple sclerosis, no variants have been consistently associated with multiple sclerosis severity. In part, the lack of findings is related to inherent limitations of clinical rating scales; these scales are insensitive to early degenerative changes that underlie disease progression. Optical coherence tomography imaging of the retina and low-contrast letter acuity correlate with and predict clinical and imaging-based outcomes in multiple sclerosis. Therefore, they may serve as sensitive phenotypes to discover genetic predictors of disease course. We conducted a set of genome-wide association studies of longitudinal structural and functional visual pathway phenotypes in multiple sclerosis. First, we assessed genetic predictors of ganglion cell/inner plexiform layer atrophy in a discovery cohort of 374 patients with multiple sclerosis using mixed-effects models adjusting for age, sex, disease duration, optic neuritis and genetic ancestry and using a combination of single-variant and network-based analyses. For candidate variants identified in discovery, we conducted a similar set of analyses of ganglion cell/inner plexiform layer thinning in a replication cohort (n = 376). Second, we assessed genetic predictors of sustained loss of 5-letters in low-contrast letter acuity in discovery (n = 582) using multivariable-adjusted Cox proportional hazards models. We then evaluated candidate variants/pathways in a replication cohort. (n = 253). Results of both studies revealed novel subnetworks highly enriched for connected genes in early complement activation linked to measures of disease severity. Within these networks, C3 was the gene most strongly associated with ganglion cell/inner plexiform layer atrophy (P = 0.004) and C1QA and CR1 were top results in analysis of sustained low-contrast letter acuity loss. Namely, variant rs158772, linked to C1QA, and rs61822967, linked to CR1, were associated with 71% and 40% increases in risk of sustained LCLA loss, respectively, in meta-analysis pooling discovery and replication cohorts (rs158772: hazard ratio: 1.71; 95% confidence interval 1.30-2.25; P = 1.3 × 10-4; rs61822967: hazard ratio: 1.40; 95% confidence interval: 1.16-1.68; P = 4.1 × 10-4). In conclusion, early complement pathway gene variants were consistently associated with structural and functional measures of multiple sclerosis severity. These results from unbiased analyses are strongly supported by several prior reports that mechanistically implicated early complement factors in neurodegeneration.
© The Author(s) (2019). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  early complement pathway genes; genome-wide association studies; multiple sclerosis; optical coherence tomography

Year:  2019        PMID: 31289819      PMCID: PMC6776113          DOI: 10.1093/brain/awz188

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  55 in total

1.  Complement C1q-C3-associated synaptic changes in multiple sclerosis hippocampus.

Authors:  Iliana Michailidou; Janske G P Willems; Evert-Jan Kooi; Corbert van Eden; Stefan M Gold; Jeroen J G Geurts; Frank Baas; Inge Huitinga; Valeria Ramaglia
Journal:  Ann Neurol       Date:  2015-05-11       Impact factor: 10.422

2.  Optical coherence tomography reflects brain atrophy in multiple sclerosis: A four-year study.

Authors:  Shiv Saidha; Omar Al-Louzi; John N Ratchford; Pavan Bhargava; Jiwon Oh; Scott D Newsome; Jerry L Prince; Dzung Pham; Snehashis Roy; Peter van Zijl; Laura J Balcer; Elliot M Frohman; Daniel S Reich; Ciprian Crainiceanu; Peter A Calabresi
Journal:  Ann Neurol       Date:  2015-10-01       Impact factor: 10.422

3.  Relation of vision to global and regional brain MRI in multiple sclerosis.

Authors:  G F Wu; E D Schwartz; T Lei; A Souza; S Mishra; D A Jacobs; C E Markowitz; S L Galetta; M L Nano-Schiavi; L M Desiderio; G R Cutter; P A Calabresi; J K Udupa; L J Balcer
Journal:  Neurology       Date:  2007-09-19       Impact factor: 9.910

4.  The OSCAR-IB consensus criteria for retinal OCT quality assessment.

Authors:  Prejaas Tewarie; Lisanne Balk; Fiona Costello; Ari Green; Roland Martin; Sven Schippling; Axel Petzold
Journal:  PLoS One       Date:  2012-04-19       Impact factor: 3.240

5.  MAGMA: generalized gene-set analysis of GWAS data.

Authors:  Christiaan A de Leeuw; Joris M Mooij; Tom Heskes; Danielle Posthuma
Journal:  PLoS Comput Biol       Date:  2015-04-17       Impact factor: 4.475

Review 6.  Validity of low-contrast letter acuity as a visual performance outcome measure for multiple sclerosis.

Authors:  Laura J Balcer; Jenelle Raynowska; Rachel Nolan; Steven L Galetta; Raju Kapoor; Ralph Benedict; Glenn Phillips; Nicholas LaRocca; Lynn Hudson; Richard Rudick
Journal:  Mult Scler       Date:  2017-02-16       Impact factor: 6.312

7.  Cell-specific and region-specific transcriptomics in the multiple sclerosis model: Focus on astrocytes.

Authors:  Noriko Itoh; Yuichiro Itoh; Alessia Tassoni; Emily Ren; Max Kaito; Ai Ohno; Yan Ao; Vista Farkhondeh; Hadley Johnsonbaugh; Josh Burda; Michael V Sofroniew; Rhonda R Voskuhl
Journal:  Proc Natl Acad Sci U S A       Date:  2017-12-26       Impact factor: 11.205

8.  Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer's disease.

Authors:  J C Lambert; C A Ibrahim-Verbaas; D Harold; A C Naj; R Sims; C Bellenguez; A L DeStafano; J C Bis; G W Beecham; B Grenier-Boley; G Russo; T A Thorton-Wells; N Jones; A V Smith; V Chouraki; C Thomas; M A Ikram; D Zelenika; B N Vardarajan; Y Kamatani; C F Lin; A Gerrish; H Schmidt; B Kunkle; M L Dunstan; A Ruiz; M T Bihoreau; S H Choi; C Reitz; F Pasquier; C Cruchaga; D Craig; N Amin; C Berr; O L Lopez; P L De Jager; V Deramecourt; J A Johnston; D Evans; S Lovestone; L Letenneur; F J Morón; D C Rubinsztein; G Eiriksdottir; K Sleegers; A M Goate; N Fiévet; M W Huentelman; M Gill; K Brown; M I Kamboh; L Keller; P Barberger-Gateau; B McGuiness; E B Larson; R Green; A J Myers; C Dufouil; S Todd; D Wallon; S Love; E Rogaeva; J Gallacher; P St George-Hyslop; J Clarimon; A Lleo; A Bayer; D W Tsuang; L Yu; M Tsolaki; P Bossù; G Spalletta; P Proitsi; J Collinge; S Sorbi; F Sanchez-Garcia; N C Fox; J Hardy; M C Deniz Naranjo; P Bosco; R Clarke; C Brayne; D Galimberti; M Mancuso; F Matthews; S Moebus; P Mecocci; M Del Zompo; W Maier; H Hampel; A Pilotto; M Bullido; F Panza; P Caffarra; B Nacmias; J R Gilbert; M Mayhaus; L Lannefelt; H Hakonarson; S Pichler; M M Carrasquillo; M Ingelsson; D Beekly; V Alvarez; F Zou; O Valladares; S G Younkin; E Coto; K L Hamilton-Nelson; W Gu; C Razquin; P Pastor; I Mateo; M J Owen; K M Faber; P V Jonsson; O Combarros; M C O'Donovan; L B Cantwell; H Soininen; D Blacker; S Mead; T H Mosley; D A Bennett; T B Harris; L Fratiglioni; C Holmes; R F de Bruijn; P Passmore; T J Montine; K Bettens; J I Rotter; A Brice; K Morgan; T M Foroud; W A Kukull; D Hannequin; J F Powell; M A Nalls; K Ritchie; K L Lunetta; J S Kauwe; E Boerwinkle; M Riemenschneider; M Boada; M Hiltuenen; E R Martin; R Schmidt; D Rujescu; L S Wang; J F Dartigues; R Mayeux; C Tzourio; A Hofman; M M Nöthen; C Graff; B M Psaty; L Jones; J L Haines; P A Holmans; M Lathrop; M A Pericak-Vance; L J Launer; L A Farrer; C M van Duijn; C Van Broeckhoven; V Moskvina; S Seshadri; J Williams; G D Schellenberg; P Amouyel
Journal:  Nat Genet       Date:  2013-10-27       Impact factor: 38.330

9.  A reference panel of 64,976 haplotypes for genotype imputation.

Authors:  Shane McCarthy; Sayantan Das; Warren Kretzschmar; Olivier Delaneau; Andrew R Wood; Alexander Teumer; Hyun Min Kang; Christian Fuchsberger; Petr Danecek; Kevin Sharp; Yang Luo; Carlo Sidore; Alan Kwong; Nicholas Timpson; Seppo Koskinen; Scott Vrieze; Laura J Scott; He Zhang; Anubha Mahajan; Jan Veldink; Ulrike Peters; Carlos Pato; Cornelia M van Duijn; Christopher E Gillies; Ilaria Gandin; Massimo Mezzavilla; Arthur Gilly; Massimiliano Cocca; Michela Traglia; Andrea Angius; Jeffrey C Barrett; Dorrett Boomsma; Kari Branham; Gerome Breen; Chad M Brummett; Fabio Busonero; Harry Campbell; Andrew Chan; Sai Chen; Emily Chew; Francis S Collins; Laura J Corbin; George Davey Smith; George Dedoussis; Marcus Dorr; Aliki-Eleni Farmaki; Luigi Ferrucci; Lukas Forer; Ross M Fraser; Stacey Gabriel; Shawn Levy; Leif Groop; Tabitha Harrison; Andrew Hattersley; Oddgeir L Holmen; Kristian Hveem; Matthias Kretzler; James C Lee; Matt McGue; Thomas Meitinger; David Melzer; Josine L Min; Karen L Mohlke; John B Vincent; Matthias Nauck; Deborah Nickerson; Aarno Palotie; Michele Pato; Nicola Pirastu; Melvin McInnis; J Brent Richards; Cinzia Sala; Veikko Salomaa; David Schlessinger; Sebastian Schoenherr; P Eline Slagboom; Kerrin Small; Timothy Spector; Dwight Stambolian; Marcus Tuke; Jaakko Tuomilehto; Leonard H Van den Berg; Wouter Van Rheenen; Uwe Volker; Cisca Wijmenga; Daniela Toniolo; Eleftheria Zeggini; Paolo Gasparini; Matthew G Sampson; James F Wilson; Timothy Frayling; Paul I W de Bakker; Morris A Swertz; Steven McCarroll; Charles Kooperberg; Annelot Dekker; David Altshuler; Cristen Willer; William Iacono; Samuli Ripatti; Nicole Soranzo; Klaudia Walter; Anand Swaroop; Francesco Cucca; Carl A Anderson; Richard M Myers; Michael Boehnke; Mark I McCarthy; Richard Durbin
Journal:  Nat Genet       Date:  2016-08-22       Impact factor: 38.330

10.  Timing of retinal neuronal and axonal loss in MS: a longitudinal OCT study.

Authors:  Lisanne J Balk; Andrés Cruz-Herranz; Philipp Albrecht; Sam Arnow; Jeffrey M Gelfand; Prejaas Tewarie; Joep Killestein; Bernard M J Uitdehaag; Axel Petzold; Ari J Green
Journal:  J Neurol       Date:  2016-05-03       Impact factor: 4.849

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  14 in total

1.  Synaptic and complement markers in extracellular vesicles in multiple sclerosis.

Authors:  Pavan Bhargava; Carlos Nogueras-Ortiz; Sol Kim; Francheska Delgado-Peraza; Peter A Calabresi; Dimitrios Kapogiannis
Journal:  Mult Scler       Date:  2020-06-17       Impact factor: 6.312

2.  Complement component 3 from astrocytes mediates retinal ganglion cell loss during neuroinflammation.

Authors:  Marjan Gharagozloo; Matthew D Smith; Jing Jin; Thomas Garton; Michelle Taylor; Alyssa Chao; Keya Meyers; Michael D Kornberg; Donald J Zack; Joan Ohayon; Brent A Calabresi; Daniel S Reich; Charles G Eberhart; Carlos A Pardo; Claudia Kemper; Katharine A Whartenby; Peter A Calabresi
Journal:  Acta Neuropathol       Date:  2021-09-06       Impact factor: 17.088

3.  A lymphocyte-microglia-astrocyte axis in chronic active multiple sclerosis.

Authors:  Martina Absinta; Dragan Maric; Marjan Gharagozloo; Thomas Garton; Matthew D Smith; Jing Jin; Kathryn C Fitzgerald; Anya Song; Poching Liu; Jing-Ping Lin; Tianxia Wu; Kory R Johnson; Dorian B McGavern; Dorothy P Schafer; Peter A Calabresi; Daniel S Reich
Journal:  Nature       Date:  2021-09-08       Impact factor: 69.504

Review 4.  Diversity and Function of Glial Cell Types in Multiple Sclerosis.

Authors:  Lucas Schirmer; Dorothy P Schafer; Theresa Bartels; David H Rowitch; Peter A Calabresi
Journal:  Trends Immunol       Date:  2021-02-13       Impact factor: 16.687

Review 5.  Does Siponimod Exert Direct Effects in the Central Nervous System?

Authors:  Markus Kipp
Journal:  Cells       Date:  2020-07-24       Impact factor: 6.600

Review 6.  Complement-Mediated Microglial Phagocytosis and Pathological Changes in the Development and Degeneration of the Visual System.

Authors:  Davis M Borucki; Amer Toutonji; Christine Couch; Khalil Mallah; Baerbel Rohrer; Stephen Tomlinson
Journal:  Front Immunol       Date:  2020-09-24       Impact factor: 7.561

Review 7.  An "Outside-In" and "Inside-Out" Consideration of Complement in the Multiple Sclerosis Brain: Lessons From Development and Neurodegenerative Diseases.

Authors:  B Paul Morgan; Jennifer L Gommerman; Valeria Ramaglia
Journal:  Front Cell Neurosci       Date:  2021-01-07       Impact factor: 5.505

8.  Cerebrospinal fluid cells immune landscape in multiple sclerosis.

Authors:  Yongchao Liu; Aili Jia; Zijian Li; Yueran Cui; Juan Feng
Journal:  J Transl Med       Date:  2021-03-25       Impact factor: 5.531

9.  Impact of complement activation on clinical outcomes in multiple sclerosis.

Authors:  Christian W Keller; Johanna Oechtering; Heinz Wiendl; Ludwig Kappos; Jens Kuhle; Jan D Lünemann
Journal:  Ann Clin Transl Neurol       Date:  2021-03-01       Impact factor: 4.511

10.  Ataxin-1 regulates B cell function and the severity of autoimmune experimental encephalomyelitis.

Authors:  Alessandro Didonna; Ester Canto Puig; Qin Ma; Atsuko Matsunaga; Brenda Ho; Stacy J Caillier; Hengameh Shams; Nicholas Lee; Stephen L Hauser; Qiumin Tan; Scott S Zamvil; Jorge R Oksenberg
Journal:  Proc Natl Acad Sci U S A       Date:  2020-09-02       Impact factor: 11.205

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