Metagenomic Analysis of the Pediatric-Onset Multiple Sclerosis Gut Microbiome

被引:16
作者
Mirza, Ali, I [1 ]
Zhu, Feng [1 ]
Knox, Natalie [2 ,3 ]
Forbes, Jessica D. [6 ,7 ]
Van Domselaar, Gary [2 ,3 ]
Bernstein, Charles N. [4 ,5 ]
Graham, Morag [2 ,3 ]
Marrie, Ruth Ann [4 ]
Hart, Janace [8 ]
Yeh, E. Ann [9 ]
Arnold, Douglas L. [10 ]
Bar-Or, Amit [11 ,12 ]
O'Mahony, Julia [9 ]
Zhao, Yinshan [1 ]
Hsiao, William [13 ]
Banwell, Brenda [14 ]
Waubant, Emmanuelle [8 ]
Tremlett, Helen [1 ]
机构
[1] Univ British Columbia, Dept Med Neurol, Vancouver, BC, Canada
[2] Publ Hlth Agcy Canada, Natl Microbiol Lab, Winnipeg, MB, Canada
[3] Univ Manitoba, Dept Med Microbiol & Infect Dis, Winnipeg, MB, Canada
[4] Univ Manitoba, Dept Internal Med, Max Rady Coll Med, Rady Fac Hlth Sci, Winnipeg, MB, Canada
[5] Univ Manitoba, Inflammatory Bowel Dis Clin & Res Ctr, Winnipeg, MB, Canada
[6] Roy Romanow Prov Lab, Regina, SK, Canada
[7] Univ Saskatchewan, Coll Med, Dept Pathol & Lab Med, Saskatoon, SK, Canada
[8] Univ Calif San Francisco, Dept Neurol, San Francisco, CA USA
[9] Hosp Sick Children, Dept Pediat Neurol, Toronto, ON, Canada
[10] McGill Univ, Montreal Neurol Inst, Dept Neurol & Neurosurg, Montreal, PQ, Canada
[11] Univ Penn, Perelman Sch Med, Ctr Neuroinflammat & Expt Therapeut, Philadelphia, PA 19104 USA
[12] Univ Penn, Perelman Sch Med, Dept Neurol, Philadelphia, PA 19104 USA
[13] Simon Fraser Univ, Fac Hlth Sci, Burnaby, BC, Canada
[14] Childrens Hosp Philadelphia, Philadelphia, PA 19104 USA
关键词
CHILDREN; DISEASE; IRON;
D O I
10.1212/WNL.0000000000013245
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background and Objectives Little is known of the functional potential of the gut microbiome in pediatric-onset multiple sclerosis (MS). We performed metagenomic analyses using stool samples from individuals with pediatric-onset MS and unaffected controls. Methods Persons <= 21 years old enrolled in the Canadian Pediatric Demyelinating Disease Network providing a stool sample were eligible. Twenty patients with MS (McDonald criteria) with symptom onset <18 years were matched to 20 controls by sex, age (+/- 3 years), stool consistency, and race. Microbial taxonomy and functional potentials were estimated from stool sample-derived metagenomic reads and compared by disease status (MS vs controls) and disease-modifying drug (DMD) exposure using alpha diversity, relative abundance, and prevalence using Wilcoxon rank sum, ALDEx2, and Fisher exact tests, respectively. Results Individuals with MS were aged 13.6 years (mean) at symptom onset and 8 were DMD-naive. Mean ages at stool sample were 16.1 and 15.4 years for MS and control participants, respectively; 80% were girls. Alpha diversity of enzymes and proteins did not differ by disease or DMD status (p > 0.20), but metabolic pathways, gene annotations, and microbial taxonomy did. Individuals with MS (vs controls) exhibited higher methanogenesis prevalence (odds ratio 10, p = 0.044) and Methanobrevibacter abundance (log(2) fold change [LFC] 1.7, p = 0.0014), but lower homolactic fermentation abundance (LFC -0.48, p = 0.039). Differences by DMD status included lower phosphate butyryl transferase for DMD-naive vs exposed patients with MS (LFC -1.0, p = 0.033). Discussion The gut microbiome's functional potential and taxonomy differed between individuals with pediatric-onset MS vs controls, including higher prevalence of a methane-producing pathway from Archaea and depletion of the lactate fermentation pathway. DMD exposure was associated with butyrate-producing enzyme enrichment. Together these findings indicate that the gut microbiome of individuals with MS may have a disturbed functional potential.
引用
收藏
页码:E1050 / E1063
页数:14
相关论文
共 49 条
[1]  
[Anonymous], 2021, AN WORKFL SUPPL INF
[2]  
[Anonymous], 2021, R: a language and environment for statistical computing
[3]   Influence of Diet in Multiple Sclerosis: A Systematic Review [J].
Bagur, M. Jose ;
Murcia, M. Antonia ;
Jimenez-Monreal, Antonia M. ;
Tur, Josep A. ;
Bibiloni, M. Mar ;
Alonso, Gonzalo L. ;
Martinez-Tome, Magdalena .
ADVANCES IN NUTRITION, 2017, 8 (03) :463-472
[4]   Clinical, environmental, and genetic determinants of multiple sclerosis in children with acute demyelination: a prospective national cohort study [J].
Banwell, Brenda ;
Bar-Or, Amit ;
Arnold, Douglas L. ;
Sadovnick, Dessa ;
Narayanan, Sridar ;
McGowan, Melissa ;
O'Mahony, Julia ;
Magalhaes, Sandra ;
Hanwell, Heather ;
Vieth, Reinhold ;
Tellier, Raymond ;
Vincent, Thierry ;
Disanto, Giulio ;
Ebers, George ;
Wambera, Katherine ;
Connolly, Mary B. ;
Yager, Jerome ;
Mah, Jean K. ;
Booth, Fran ;
Sebire, Guillaume ;
Callen, David ;
Meaney, Brandon ;
Dilenge, Marie-Emmanuelle ;
Lortie, Anne ;
Pohl, Daniela ;
Doja, Asif ;
Venketaswaran, Sunita ;
Levin, Simon ;
MacDonald, E. Athen ;
Meek, David ;
Wood, Ellen ;
Lowry, Noel ;
Buckley, David ;
Yim, Conrad ;
Awuku, Mark ;
Cooper, Pamela ;
Grand'Maison, Francois ;
Baird, J. Burke ;
Bhan, Virender ;
Marrie, Ruth Ann .
LANCET NEUROLOGY, 2011, 10 (05) :436-445
[5]  
Baxter NT, 2019, MBIO, V10, DOI [10.1128/mbio.02566-18, 10.1128/mBio.02566-18]
[6]   Tandem repeats finder: a program to analyze DNA sequences [J].
Benson, G .
NUCLEIC ACIDS RESEARCH, 1999, 27 (02) :573-580
[7]   Gut microbiota from multiple sclerosis patients enables spontaneous autoimmune encephalomyelitis in mice [J].
Berer, Kerstin ;
Gerdes, Lisa Ann ;
Cekanaviciute, Egle ;
Jia, Xiaoming ;
Xiao, Liang ;
Xia, Zhongkui ;
Liu, Chuan ;
Klotz, Luisa ;
Stauffer, Uta ;
Baranzini, Sergio E. ;
Kuempfel, Tania ;
Hohlfeld, Reinhard ;
Krishnamoorthy, Gurumoorthy ;
Wekerle, Hartmut .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2017, 114 (40) :10719-10724
[8]   Deep DNA metagenomic sequencing reveals oral microbiome divergence between monozygotic twins discordant for multiple sclerosis severity [J].
Boullerne, Anne, I ;
Adami, Guy R. ;
Schwartz, Joel L. ;
Skias, Demetrios ;
Maienschein-Cline, Mark ;
Green, Stefan J. ;
Feinstein, Douglas L. .
JOURNAL OF NEUROIMMUNOLOGY, 2020, 343
[9]   Human contamination in bacterial genomes has created thousands of spurious proteins [J].
Breitwieser, Florian P. ;
Pertea, Mihaela ;
Zimin, Aleksey V. ;
Salzberg, Steven L. .
GENOME RESEARCH, 2019, 29 (06) :954-960
[10]   The MetaCyc database of metabolic pathways and enzymes [J].
Caspi, Ron ;
Billington, Richard ;
Fulcher, Carol A. ;
Keseler, Ingrid M. ;
Kothari, Anamika ;
Krummenacker, Markus ;
Latendresse, Mario ;
Midford, Peter E. ;
Ong, Quang ;
Ong, Wai Kit ;
Paley, Suzanne ;
Subhraveti, Pallavi ;
Karp, Peter D. .
NUCLEIC ACIDS RESEARCH, 2018, 46 (D1) :D633-D639