Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

Tanuja Chitnis, M.D.

Co-Author

This page shows the publications co-authored by Tanuja Chitnis and Howard Weiner.
Connection Strength

8.730
  1. CNS inflammation and neurodegeneration. J Clin Invest. 2017 Oct 02; 127(10):3577-3587.
    View in: PubMed
    Score: 0.770
  2. Gut Microbiome in Progressive Multiple Sclerosis. Ann Neurol. 2021 Jun; 89(6):1195-1211.
    View in: PubMed
    Score: 0.248
  3. Confirmed disability progression provides limited predictive information regarding future disease progression in multiple sclerosis. Mult Scler J Exp Transl Clin. 2021 Apr-Jun; 7(2):2055217321999070.
    View in: PubMed
    Score: 0.247
  4. Obesity is associated with the Optic Neuritis severity in Male patients with Multiple Sclerosis. Mult Scler Relat Disord. 2021 Mar 21; 51:102910.
    View in: PubMed
    Score: 0.246
  5. Serum neurofilament levels and patient-reported outcomes in multiple sclerosis. Ann Clin Transl Neurol. 2021 03; 8(3):631-638.
    View in: PubMed
    Score: 0.243
  6. MRI Lesion State Modulates the Relationship Between Serum Neurofilament Light and Age in Multiple Sclerosis. J Neuroimaging. 2021 03; 31(2):388-393.
    View in: PubMed
    Score: 0.243
  7. Blood neurofilament light: a critical review of its application to neurologic disease. Ann Clin Transl Neurol. 2020 12; 7(12):2508-2523.
    View in: PubMed
    Score: 0.240
  8. Improved relapse recovery in paediatric compared to adult multiple sclerosis. Brain. 2020 09 01; 143(9):2733-2741.
    View in: PubMed
    Score: 0.237
  9. Temporal association of sNfL and gad-enhancing lesions in multiple sclerosis. Ann Clin Transl Neurol. 2020 06; 7(6):945-955.
    View in: PubMed
    Score: 0.232
  10. Quantifying neurologic disease using biosensor measurements in-clinic and in free-living settings in multiple sclerosis. NPJ Digit Med. 2019; 2:123.
    View in: PubMed
    Score: 0.225
  11. Quantifying neurologic disease using biosensor measurements in-clinic and in free-living settings in multiple sclerosis. NPJ Digit Med. 2019 Dec 11; 2(1):123.
    View in: PubMed
    Score: 0.225
  12. ?d T Cell-Secreted XCL1 Mediates Anti-CD3-Induced Oral Tolerance. J Immunol. 2019 11 15; 203(10):2621-2629.
    View in: PubMed
    Score: 0.222
  13. Discontinuation of disease-modifying therapy for patients with relapsing-remitting multiple sclerosis: Effect on clinical and MRI outcomes. Mult Scler Relat Disord. 2019 Oct; 35:119-127.
    View in: PubMed
    Score: 0.219
  14. Cross-sectional study of smoking exposure: no differential effect on OCT metrics in a cohort of MS patients. Mult Scler J Exp Transl Clin. 2019 Jan-Mar; 5(1):2055217319828400.
    View in: PubMed
    Score: 0.213
  15. Food allergies are associated with increased disease activity in multiple sclerosis. J Neurol Neurosurg Psychiatry. 2019 06; 90(6):629-635.
    View in: PubMed
    Score: 0.210
  16. Neurofilament light chain serum levels correlate with 10-year MRI outcomes in multiple sclerosis. Ann Clin Transl Neurol. 2018 Dec; 5(12):1478-1491.
    View in: PubMed
    Score: 0.208
  17. Long-term follow-up for multiple sclerosis patients initially treated with interferon-beta and glatiramer acetate. J Neurol Sci. 2018 11 15; 394:127-131.
    View in: PubMed
    Score: 0.207
  18. Predictors of hematological abnormalities in multiple sclerosis patients treated with fingolimod and dimethyl fumarate and impact of treatment switch on lymphocyte and leukocyte count. Mult Scler Relat Disord. 2018 Feb; 20:51-57.
    View in: PubMed
    Score: 0.196
  19. The effect of alcohol and red wine consumption on clinical and MRI outcomes in multiple sclerosis. Mult Scler Relat Disord. 2017 Oct; 17:47-53.
    View in: PubMed
    Score: 0.190
  20. Exploration of machine learning techniques in predicting multiple sclerosis disease course. PLoS One. 2017; 12(4):e0174866.
    View in: PubMed
    Score: 0.187
  21. Alterations of the human gut microbiome in multiple sclerosis. Nat Commun. 2016 06 28; 7:12015.
    View in: PubMed
    Score: 0.177
  22. Effect of vitamin D on MS activity by disease-modifying therapy class. Neurol Neuroimmunol Neuroinflamm. 2015 Dec; 2(6):e167.
    View in: PubMed
    Score: 0.169
  23. Evaluation of no evidence of disease activity in a 7-year longitudinal multiple sclerosis cohort. JAMA Neurol. 2015 Feb; 72(2):152-8.
    View in: PubMed
    Score: 0.161
  24. Factors associated with recovery from acute optic neuritis in patients with multiple sclerosis. Neurology. 2014 Jun 17; 82(24):2173-9.
    View in: PubMed
    Score: 0.153
  25. Low testosterone is associated with disability in men with multiple sclerosis. Mult Scler. 2014 Oct; 20(12):1584-92.
    View in: PubMed
    Score: 0.152
  26. Increased leptin and A-FABP levels in relapsing and progressive forms of MS. BMC Neurol. 2013 Nov 11; 13:172.
    View in: PubMed
    Score: 0.148
  27. Circulating microRNAs as biomarkers for disease staging in multiple sclerosis. Ann Neurol. 2013 Jun; 73(6):729-40.
    View in: PubMed
    Score: 0.144
  28. Cognitive deterioration in patients with early multiple sclerosis: a 5-year study. J Neurol Neurosurg Psychiatry. 2012 Jan; 83(1):38-43.
    View in: PubMed
    Score: 0.126
  29. Demographic and clinical characteristics of malignant multiple sclerosis. Neurology. 2011 Jun 07; 76(23):1996-2001.
    View in: PubMed
    Score: 0.125
  30. Accounting for disease modifying therapy in models of clinical progression in multiple sclerosis. J Neurol Sci. 2011 Apr 15; 303(1-2):109-13.
    View in: PubMed
    Score: 0.122
  31. A method for evaluating treatment switching criteria in multiple sclerosis. Mult Scler. 2010 Dec; 16(12):1483-9.
    View in: PubMed
    Score: 0.118
  32. The impact of ocrelizumab on health-related quality of life in individuals with multiple sclerosis. Mult Scler J Exp Transl Clin. 2021 Apr-Jun; 7(2):20552173211007523.
    View in: PubMed
    Score: 0.062
  33. Author Correction: Ensemble learning predicts multiple sclerosis disease course in the SUMMIT study. NPJ Digit Med. 2020 Nov 20; 3(1):155.
    View in: PubMed
    Score: 0.060
  34. Ensemble learning predicts multiple sclerosis disease course in the SUMMIT study. NPJ Digit Med. 2020; 3:135.
    View in: PubMed
    Score: 0.060
  35. Ensemble learning predicts multiple sclerosis disease course in the SUMMIT study. NPJ Digit Med. 2020 Oct 16; 3(1):135.
    View in: PubMed
    Score: 0.060
  36. Social support in multiple sclerosis: Associations with quality of life, depression, and anxiety. J Psychosom Res. 2020 11; 138:110252.
    View in: PubMed
    Score: 0.059
  37. Phenome-wide examination of comorbidity burden and multiple sclerosis disease severity. Neurol Neuroimmunol Neuroinflamm. 2020 11; 7(6).
    View in: PubMed
    Score: 0.059
  38. Trajectories of Symbol Digit Modalities Test performance in individuals with multiple sclerosis. Mult Scler. 2021 04; 27(4):593-602.
    View in: PubMed
    Score: 0.057
  39. Comparison of health-related quality of life across treatment groups in individuals with multiple sclerosis. Mult Scler Relat Disord. 2020 May; 40:101944.
    View in: PubMed
    Score: 0.057
  40. History of fatigue in multiple sclerosis is associated with grey matter atrophy. Sci Rep. 2019 10 14; 9(1):14781.
    View in: PubMed
    Score: 0.056
  41. Microstructural fronto-striatal and temporo-insular alterations are associated with fatigue in patients with multiple sclerosis independent of white matter lesion load and depression. Mult Scler. 2020 11; 26(13):1708-1718.
    View in: PubMed
    Score: 0.055
  42. The impact of cervical spinal cord atrophy on quality of life in multiple sclerosis. J Neurol Sci. 2019 Aug 15; 403:38-43.
    View in: PubMed
    Score: 0.054
  43. Time between expanded disability status scale (EDSS) scores. Mult Scler Relat Disord. 2019 May; 30:98-103.
    View in: PubMed
    Score: 0.053
  44. Assessment of computer adaptive testing version of the Neuro-QOL for people with multiple sclerosis. Mult Scler. 2019 11; 25(13):1791-1799.
    View in: PubMed
    Score: 0.052
  45. Identification of MS-specific serum miRNAs in an international multicenter study. Neurol Neuroimmunol Neuroinflamm. 2018 Sep; 5(5):e491.
    View in: PubMed
    Score: 0.051
  46. Brain and spinal cord MRI lesions in primary progressive vs. relapsing-remitting multiple sclerosis. eNeurologicalSci. 2018 Sep; 12:42-46.
    View in: PubMed
    Score: 0.051
  47. Short Report: A Pilot Study of a Group Positive Psychology Intervention for Patients with Multiple Sclerosis. Int J MS Care. 2018 May-Jun; 20(3):136-141.
    View in: PubMed
    Score: 0.050
  48. Correlating serum micrornas and clinical parameters in amyotrophic lateral sclerosis. Muscle Nerve. 2018 Aug; 58(2):261-269.
    View in: PubMed
    Score: 0.050
  49. A two-year study using cerebral gray matter volume to assess the response to fingolimod therapy in multiple sclerosis. J Neurol Sci. 2017 Dec 15; 383:221-229.
    View in: PubMed
    Score: 0.048
  50. Treatment satisfaction across injectable, infusion, and oral disease-modifying therapies for multiple sclerosis. Mult Scler Relat Disord. 2017 Nov; 18:196-201.
    View in: PubMed
    Score: 0.048
  51. SUMMIT (Serially Unified Multicenter Multiple Sclerosis Investigation): creating a repository of deeply phenotyped contemporary multiple sclerosis cohorts. Mult Scler. 2018 10; 24(11):1485-1498.
    View in: PubMed
    Score: 0.048
  52. Characterizing Clinical and MRI Dissociation in Patients with Multiple Sclerosis. J Neuroimaging. 2017 09; 27(5):481-485.
    View in: PubMed
    Score: 0.046
  53. Association Between Serum MicroRNAs and Magnetic Resonance Imaging Measures of Multiple Sclerosis Severity. JAMA Neurol. 2017 03 01; 74(3):275-285.
    View in: PubMed
    Score: 0.046
  54. Sample size requirements for one-year treatment effects using deep gray matter volume from 3T MRI in progressive forms of multiple sclerosis. Int J Neurosci. 2017 Nov; 127(11):971-980.
    View in: PubMed
    Score: 0.046
  55. Comprehensive evaluation of serum microRNAs as biomarkers in multiple sclerosis. Neurol Neuroimmunol Neuroinflamm. 2016 Oct; 3(5):e267.
    View in: PubMed
    Score: 0.045
  56. Identification of a novel mechanism of action of fingolimod (FTY720) on human effector T cell function through TCF-1 upregulation. J Neuroinflammation. 2015 Dec 30; 12:245.
    View in: PubMed
    Score: 0.043
  57. Genes and Environment in Multiple Sclerosis project: A platform to investigate multiple sclerosis risk. Ann Neurol. 2016 Feb; 79(2):178-89.
    View in: PubMed
    Score: 0.043
  58. The Effect of Fingolimod on Conversion of Acute Gadolinium-Enhancing Lesions to Chronic T1 Hypointensities in Multiple Sclerosis. J Neuroimaging. 2016 Mar-Apr; 26(2):184-7.
    View in: PubMed
    Score: 0.042
  59. Brain MRI lesions and atrophy are associated with employment status in patients with multiple sclerosis. J Neurol. 2015 Nov; 262(11):2425-32.
    View in: PubMed
    Score: 0.042
  60. Handling changes in MRI acquisition parameters in modeling whole brain lesion volume and atrophy data in multiple sclerosis subjects: Comparison of linear mixed-effect models. Neuroimage Clin. 2015; 8:606-10.
    View in: PubMed
    Score: 0.041
  61. Using multiple imputation to efficiently correct cerebral MRI whole brain lesion and atrophy data in patients with multiple sclerosis. Neuroimage. 2015 Oct 01; 119:81-8.
    View in: PubMed
    Score: 0.041
  62. An expanded composite scale of MRI-defined disease severity in multiple sclerosis: MRDSS2. Neuroreport. 2014 Oct 01; 25(14):1156-61.
    View in: PubMed
    Score: 0.039
  63. An observational comparison of natalizumab vs. fingolimod using JCV serology to determine therapy. Mult Scler. 2014 Sep; 20(10):1381-90.
    View in: PubMed
    Score: 0.038
  64. Treatment satisfaction in multiple sclerosis. Int J MS Care. 2014; 16(2):68-75.
    View in: PubMed
    Score: 0.037
  65. Modeling disease severity in multiple sclerosis using electronic health records. PLoS One. 2013; 8(11):e78927.
    View in: PubMed
    Score: 0.037
  66. Clinical relevance and functional consequences of the TNFRSF1A multiple sclerosis locus. Neurology. 2013 Nov 26; 81(22):1891-9.
    View in: PubMed
    Score: 0.037
  67. Evaluation of circulating osteopontin levels in an unselected cohort of patients with multiple sclerosis: relevance for biomarker development. Mult Scler. 2014 Apr; 20(4):438-44.
    View in: PubMed
    Score: 0.036
  68. Evaluation of an online platform for multiple sclerosis research: patient description, validation of severity scale, and exploration of BMI effects on disease course. PLoS One. 2013; 8(3):e59707.
    View in: PubMed
    Score: 0.035
  69. Work productivity in relapsing multiple sclerosis: associations with disability, depression, fatigue, anxiety, cognition, and health-related quality of life. Value Health. 2012 Dec; 15(8):1029-35.
    View in: PubMed
    Score: 0.034
  70. The impact of lesion in-painting and registration methods on voxel-based morphometry in detecting regional cerebral gray matter atrophy in multiple sclerosis. AJNR Am J Neuroradiol. 2012 Sep; 33(8):1579-85.
    View in: PubMed
    Score: 0.033
  71. The impact of a recent relapse on patient-reported outcomes in subjects with multiple sclerosis. Qual Life Res. 2012 Dec; 21(10):1677-84.
    View in: PubMed
    Score: 0.033
  72. Magnetic resonance disease severity scale (MRDSS) for patients with multiple sclerosis: a longitudinal study. J Neurol Sci. 2012 Apr 15; 315(1-2):49-54.
    View in: PubMed
    Score: 0.032
  73. One year activity on subtraction MRI predicts subsequent 4 year activity and progression in multiple sclerosis. J Neurol Neurosurg Psychiatry. 2011 Oct; 82(10):1125-31.
    View in: PubMed
    Score: 0.031
  74. Patient reported outcomes in benign multiple sclerosis. Mult Scler. 2011 Jul; 17(7):876-84.
    View in: PubMed
    Score: 0.031
  75. A putative Alzheimer's disease risk allele in PCK1 influences brain atrophy in multiple sclerosis. PLoS One. 2010 Nov 30; 5(11):e14169.
    View in: PubMed
    Score: 0.030
  76. Population structure and HLA DRB1 1501 in the response of subjects with multiple sclerosis to first-line treatments. J Neuroimmunol. 2011 Apr; 233(1-2):168-74.
    View in: PubMed
    Score: 0.030
  77. HLA B*44: protective effects in MS susceptibility and MRI outcome measures. Neurology. 2010 Aug 17; 75(7):634-40.
    View in: PubMed
    Score: 0.030
  78. Regional white matter atrophy--based classification of multiple sclerosis in cross-sectional and longitudinal data. AJNR Am J Neuroradiol. 2009 Oct; 30(9):1731-9.
    View in: PubMed
    Score: 0.028
  79. Smoking and disease progression in multiple sclerosis. Arch Neurol. 2009 Jul; 66(7):858-64.
    View in: PubMed
    Score: 0.027
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.