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Wheeler, Yolanda

https://orcid.org/0000-0003-1391-4496

Mayo Clinic

University of Alabama at Birmingham

Citations 23

A new look at cognitive functioning in pediatric MS
Krupp, Lauren , Waltz, Michael , Casper, T. Charles , Belman, Anita , Wheeler, Yolanda , Ness, Jayne , Gorman, Mark , Mar, Soe , Schreiner, Teri , Tillema, Jan‐Mendelt , Lotze, Timothy , Aaen, Greg, Rose, John , Chitinis, Tanuja, George, Allan , Krupp, Lauren , Weinstock‐Guttman, Bianca , Rensel, Mary R. , Chitnis, Tanuja , Charvet, Leigh E , Waubant, Emmanuelle L. , Graves, Jennifer , Benson, Leslie, Goyal, Manu S. , Schreiner, Teri , Rodriguez, Moses , Aaen, Gregory , Charvet, Leigh

Multiple Sclerosis Journal | October 1, 2022 | Volume: 29 | Issue: 1 | Pages: 140-149

10.1177/13524585221123978 Get It

Objective: Cognitive involvement in pediatric multiple sclerosis (MS) relative to adult MS is less defined. This study advances our understanding by measuring cognitive performances in pediatric MS, adult MS, and pediatric healthy controls. Methods: Consecutive relapsing pediatric MS participants from the United States Network of Pediatric MS Centers were compared with pediatric healthy controls and adults with relapsing MS. Participants were compared on two screening batteries: the Brief International Cognitive Assessment for MS and the Cogstate Brief Battery. Results were transformed to age-normative z scores. Results: The pediatric groups (MS vs. Healthy Controls) did not differ on either battery’s composite mean score or individual test scores ( ps > 0.32), nor in the proportions impaired on either battery, Brief International Cognitive Assessment for MS (26% vs. 24%, p = 0.83); Cogstate Brief Battery (26% vs. 32%, p = 0.41). The pediatric versus adult MS group even after controlling for differences in disease duration performed better on the Brief International Cognition Assessment for MS composite ( p = 0.03), Symbol Digit Modalities Test ( p = 0.02), Rey Auditory Verbal Learning Test ( p = 0.01), and Cogstate choice reaction time ( p < 0.001). Conclusion: Pediatric MS patients do not differ from healthy pediatric controls on cognitive screens but perform better than adults with MS.
MOG and AQP4 Antibodies among Children with Multiple Sclerosis and Controls
Gaudioso, Cristina , Mar, Soe , Casper, T. Charles , Codden, Rachel , Nguyen, Adam, Aaen, Gregory , Chitnis, Tanuja , Francisco, Carla , Gorman, Mark , Greenberg, Benjamin , Hart, Janace, Lotze, Timothy , Narula, Sona , Pittock, Sean J. , Rose, John , Schreiner, Teri , Tillema, Jan‐Mendelt , Wheeler, Yolanda , Gaudioso, Cristina M , Chitnis, Tanuja , Graves, Jennifer , Pittock, S J , Waubant, Emmanuelle L. , Greenberg, Benjamin M , Nguyen, Adam, Benson, Leslie, Goyal, Manu S. , Graves, Jennifer , Krupp, Lauren , Rensel, Mary R. , Rodriguez, Moses , Schreiner, Teri , Waldman, Amy , Weinstock‐Guttman, Bianca , Flanagan, Eoin P.

Annals of Neurology | September 11, 2022 | Volume: 93 | Issue: 2 | Pages: 271-284

10.1002/ana.26502 Get It

Objective The purpose of this study was to determine the frequency of myelin oligodendrocyte glycoprotein (MOG)‐IgG and aquaporin‐4 (AQP4)‐IgG among patients with pediatric‐onset multiple sclerosis (POMS) and healthy controls, to determine whether seropositive cases fulfilled their respective diagnostic criteria, to compare characteristics and outcomes in children with POMS versus MOG‐IgG‐associated disease (MOGAD), and identify clinical features associated with final diagnosis. Methods Patients with POMS and healthy controls were enrolled at 14 US sites through a prospective case–control study on POMS risk factors. Serum AQP4‐IgG and MOG‐IgG were assessed using live cell‐based assays. Results AQP4‐IgG was negative among all 1,196 participants, 493 with POMS and 703 healthy controls. MOG‐IgG was positive in 30 of 493 cases (6%) and zero controls. Twenty‐five of 30 patients positive with MOG‐IgG (83%) had MOGAD, whereas 5 of 30 (17%) maintained a diagnosis of multiple sclerosis (MS) on re‐review of records. MOGAD cases were more commonly in female patients (21/25 [84%] vs 301/468 [64%]; p = 0.044), younger age (mean = 8.2 ± 4.2 vs 14.7 ± 2.6 years; p < 0.001), more commonly had initial optic nerve symptoms (16/25 [64%] vs 129/391 [33%]; p = 0.002), or acute disseminated encephalomyelitis (ADEM; 8/25 [32%] vs 9/468 [2%]; p < 0.001), and less commonly had initial spinal cord symptoms (3/20 [15%] vs 194/381 [51%]; p = 0.002), serum Epstein–Barr virus (EBV) positivity (11/25 [44%] vs 445/468 [95%]; p < 0.001), or cerebrospinal fluid oligoclonal bands (5/25 [20%] vs 243/352 [69%]; p < 0.001). Interpretation MOG‐IgG and AQP4‐IgG were not identified among healthy controls confirming their high specificity for pediatric central nervous system (CNS) demyelinating disease. Five percent of those with prior POMS diagnoses ultimately had MOGAD; and none had AQP4‐IgG positivity. Clinical features associated with a final diagnosis of MOGAD in those with suspected MS included initial ADEM phenotype, younger age at disease onset, and lack of EBV exposure. ANN NEUROL 2023;93:271–284
Gut microbiome is associated with multiple sclerosis activity in children
Horton, Mary , McCauley, Kathryn , Fadrosh, Douglas, Fujimura, Kei E. , Ness, Jayne , Wheeler, Yolanda , Gorman, Mark , Rodriguez, Moses , Tillema, Jan‐Mendelt , Belman, Anita , Mar, Soe , Casper, T. Charles , Rose, John , Hart, Janace, Shao, Xiaorong, Barcellos, Lisa F. , Horton, Mary K , Chitnis, Tanuja , Tremlett, Helen , Waubant, Emmanuelle L. , Rodriguez, Moses , Graves, Jennifer , Benson, Leslie , Weinstock‐Guttman, Bianca , Waldman, Amy , Krupp, Lauren , Rensel, Mary R. , Lynch, Susan V.

Annals of Clinical and Translational Neurology | August 19, 2021 | Volume: 8 | Issue: 9 | Pages: 1867-1883

10.1002/acn3.51441 Get It

Abstract Objective To identify features of the gut microbiome associated with multiple sclerosis activity over time. Methods We used 16S ribosomal RNA sequencing from stool of 55 recently diagnosed pediatric‐onset multiple sclerosis patients. Microbiome features included the abundance of individual microbes and networks identified from weighted genetic correlation network analyses. Prentice‐Williams‐Peterson Cox proportional hazards models estimated the associations between features and three disease activity outcomes: clinical relapses and both new/enlarging T2 lesions and new gadolinium‐enhancing lesions on brain MRI. Analyses were adjusted for age, sex, and disease‐modifying therapies. Results Participants were followed, on average, 2.1 years. Five microbes were nominally associated with all three disease activity outcomes after multiple testing correction. These included butyrate producers Odoribacter (relapse hazard ratio = 0.46, 95% confidence interval: 0.24, 0.88) and Butyricicoccus (relapse hazard ratio = 0.49, 95% confidence interval: 0.28, 0.88). Two networks of co‐occurring gut microbes were significantly associated with a higher hazard of both MRI outcomes (gadolinium‐enhancing lesion hazard ratios (95% confidence intervals) for Modules 32 and 33 were 1.29 (1.08, 1.54) and 1.42 (1.18, 1.71), respectively; T2 lesion hazard ratios (95% confidence intervals) for Modules 32 and 33 were 1.34 (1.15, 1.56) and 1.41 (1.21, 1.64), respectively). Metagenomic predictions of these networks demonstrated enrichment for amino acid biosynthesis pathways. Interpretation Both individual and networks of gut microbes were associated with longitudinal multiple sclerosis activity. Known functions and metagenomic predictions of these microbes suggest the important role of butyrate and amino acid biosynthesis pathways. This provides strong support for future development of personalized microbiome interventions to modify multiple sclerosis disease activity.