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348 results on '"Glanz, Bonnie I."'

1. Clinical Trial-Ready Patient Cohorts for Multiple System Atrophy: Coupling Biospecimen and iPSC Banking to Longitudinal Deep-Phenotyping

Author

Ndayisaba, Alain, Pitaro, Ariana T., Willett, Andrew S., Jones, Kristie A., de Gusmao, Claudio Melo, Olsen, Abby L., Kim, Jisoo, Rissanen, Eero, Woods, Jared K., Srinivasan, Sharan R., Nagy, Anna, Nagy, Amanda, Mesidor, Merlyne, Cicero, Steven, Patel, Viharkumar, Oakley, Derek H., Tuncali, Idil, Taglieri-Noble, Katherine, Clark, Emily C., Paulson, Jordan, Krolewski, Richard C., Ho, Gary P., Hung, Albert Y., Wills, Anne-Marie, Hayes, Michael T., Macmore, Jason P., Warren, Luigi, Bower, Pamela G., Langer, Carol B., Kellerman, Lawrence R., Humphreys, Christopher W., Glanz, Bonnie I., Dielubanza, Elodi J., Frosch, Matthew P., Freeman, Roy L., Gibbons, Christopher H., Stefanova, Nadia, Chitnis, Tanuja, Weiner, Howard L., Scherzer, Clemens R., Scholz, Sonja W., Vuzman, Dana, Cox, Laura M., Wenning, Gregor, Schmahmann, Jeremy D., Gupta, Anoopum S., Novak, Peter, Young, Geoffrey S., Feany, Mel B., Singhal, Tarun, and Khurana, Vikram

Published
2024
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3. Correction to: Clinical trial-ready patient cohorts for multiple system atrophy: coupling biospecimen and iPSC banking to longitudinal deep-phenotyping

Author

Ndayisaba, Alain, Pitaro, Ariana T., Willett, Andrew S., Jones, Kristie A., de Gusmao, Claudio Melo, Olsen, Abby L., Kim, Jisoo, Rissanen, Eero, Woods, Jared K., Srinivasan, Sharan R., Nagy, Anna, Nagy, Amanda, Mesidor, Merlyne, Cicero, Steven, Patel, Viharkumar, Oakley, Derek H., Tuncali, Idil, Taglieri-Noble, Katherine, Clark, Emily C., Paulson, Jordan, Krolewski, Richard C., Ho, Gary P., Hung, Albert Y., Wills, Anne-Marie, Hayes, Michael T., Macmore, Jason P., Warren, Luigi, Bower, Pamela G., Langer, Carol B., Kellerman, Lawrence R., Humphreys, Christopher W., Glanz, Bonnie I., Dielubanza, Elodi J., Frosch, Matthew P., Freeman, Roy L., Gibbons, Christopher H., Stefanova, Nadia, Chitnis, Tanuja, Weiner, Howard L., Scherzer, Clemens R., Scholz, Sonja W., Vuzman, Dana, Cox, Laura M., Wenning, Gregor, Schmahmann, Jeremy D., Gupta, Anoopum S., Novak, Peter, Young, Geoffrey S., Feany, Mel B., Singhal, Tarun, and Khurana, Vikram

Published
2024
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7. Humoral response to COVID-19 vaccination in MS patients on disease modifying therapy: Immune profiles and clinical outcomes

Author

Holroyd, Kathryn B., Healy, Brian C., Conway, Sarah, Houtchens, Maria, Bakshi, Rohit, Bhattacharyya, Shamik, Bose, Gauruv, Galetta, Kristin, Kaplan, Tamara, Severson, Christopher, Singhal, Tarun, Stazzone, Lynn, Zurawski, Jonathan, Polgar-Turcsanyi, Mariann, Saxena, Shrishti, Paul, Anu, Glanz, Bonnie I., Weiner, Howard L., and Chitnis, Tanuja

Published
2022
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10. Serum glial fibrillary acidic protein predicts disease progression in multiple sclerosis.

Author

Madill, Evan, Healy, Brian C., Molazadeh, Negar, Polgar‐Turcsanyi, Mariann, Glanz, Bonnie I., Weiner, Howard L., and Chitnis, Tanuja

Subjects
GLIAL fibrillary acidic protein, DISEASE progression, COGNITION disorders, DISEASE duration, MULTIPLE sclerosis
Abstract

Objective: Glial fibrillary acidic protein (GFAP) is expressed in astrocytes and may be a useful marker of non‐active progressive multiple sclerosis (MS). We evaluate serum GFAP (sGFAP) in a large cohort of MS patients to determine if it predicts progression independent of relapse activity (PIRA), future gait aid, and conversion to secondary progressive disease (SPMS). Methods: Adults with clinically isolated syndrome or any subtype of MS who were listed in the Brigham MS Center Research Database and had at least one sGFAP result were included. All clinic visits following first sample were analyzed for PIRA, future gait aid, and conversion to SPMS. Future cognitive dysfunction and fatigue were evaluated as secondary outcomes. Results: In total, 741 patients were included (average age: 42.3, average disease duration: 3.7 years, median EDSS: 2, and median follow‐up duration: 10.0 years). Of 643 patients (86.8%) without progressive disease at baseline, 15.9% developed SPMS. Among all 741, 50.5% had PIRA and 18.6% developed a gait aid requirement. sGFAP level predicted PIRA, future gait aid, and conversion to SPMS in univariable models (p < 0.001, <0.001, and 0.002). sGFAP remained predictive for PIRA and future gait aid in multivariable models in those younger than 50 (p = 0.048, 0.003). Change in sGFAP level over time was not predictive. There was no association between sGFAP and future fatigue or cognitive dysfunction. Interpretation: sGFAP helps to predict PIRA, future gait aid, and conversion to SPMS in a large cohort of MS patients. Our data suggest that baseline levels may be more useful than the change over time. [ABSTRACT FROM AUTHOR]

Published
2024
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11. Identification of MS-specific serum miRNAs in an international multicenter study

Author

Regev, Keren, Healy, Brian C, Paul, Anu, Diaz-Cruz, Camilo, Mazzola, Maria Antonietta, Raheja, Radhika, Glanz, Bonnie I, Kivisäkk, Pia, Chitnis, Tanuja, Jagodic, Maja, Piehl, Fredrik, Olsson, Tomas, Khademi, Mohsen, Hauser, Stephen, Oksenberg, Jorge, Khoury, Samia J, Weiner, Howard L, and Gandhi, Roopali

Subjects
Biomedical and Clinical Sciences, Neurosciences, Genetics, Biotechnology, Neurodegenerative, Multiple Sclerosis, Clinical Research, Brain Disorders, Autoimmune Disease, 4.1 Discovery and preclinical testing of markers and technologies, Detection, screening and diagnosis
Abstract

ObjectiveTo identify circulating microRNAs (miRNAs) linked to disease, disease stage, and disability in MS across cohorts.MethodsSamples were obtained from the Comprehensive Longitudinal Investigation of Multiple Sclerosis (CLIMB, Boston, MA), EPIC (San Francisco, CA), AMIR (Beirut, Lebanon) as part of the SUMMIT consortium, and Stockholm Prospective Assessment of Multiple Sclerosis (Stockholm, Sweden) cohorts. Serum miRNA expression was measured using locked nucleic acid-based quantitative PCR. Four groups were compared: (1) MS vs healthy control (HC), (2) relapsing-remitting (RR) vs HC, (3) secondary progressive (SP) vs HC, and (4) RR vs SP. A Wilcoxon rank-sum test was used for the comparisons. The association between each miRNA and the Expanded Disability Status Scale (EDSS) score was assessed using the Spearman correlation coefficient. For each comparison, the p values were corrected for multiple comparisons using the approach of Benjamini and Hochberg to control the false discovery rate.ResultsIn the CLIMB cohort, 5 miRNAs (hsa-miR-484, hsa-miR-140-5p, hsa-miR-320a, hsa-miR-486-5p, and hsa-miR-320c) showed a significant difference between patients with MS and healthy individuals; among these, miR-484 remained significant after accounting for multiple comparisons (p = 0.01). When comparing RRMS with HCs, hsa-miR-484 showed a significant difference (p = 0.004) between the groups after accounting for multiple group comparisons. When SP and HC were compared, 6 miRNAs (hsa-miR-484, hsa-miR-140-5p, hsa-miR-142-5p, hsa-miR-320a, hsa-miR-320b, and hsa-miR-320c) remained significantly different after accounting for multiple comparisons. Disability correlation analysis with miRNA provided 4 miRNAs (hsa-miR-320a, hsa-miR-337-3p, hsa-miR-199a-5p, and hsa-miR-142-5p) that correlated with the EDSS during the internal reproducibility phase. Among these, hsa-miR-337-3p was the most statistically significant miRNA that negatively correlated with the EDSS in three of the MS cohorts tested.ConclusionsThese findings further confirm the use of circulating serum miRNAs as biomarkers to diagnose and monitor disease status in MS.Classification of evidenceThis study provides Class III evidence that levels of circulating miRNAs identify patients with MS.

Published
2018

17. CE ARTICLE. Stigma in Multiple Sclerosis: A Narrative Review of Current Concepts, Measures, and Findings.

Author

Winston-Khan, Sasha I., Healy, Brian C., Kehoe, Sydney B., Zurawski, Jonathan D., Singhal, Tarun, and Glanz, Bonnie I.

Subjects
CONTINUING education units, MULTIPLE sclerosis, HEALTH status indicators, SEVERITY of illness index, ANXIETY, CHRONIC diseases, QUALITY of life, HEALTH behavior, SOCIAL stigma, MENTAL depression, COGNITION, DISEASE complications
Abstract

Stigma is an undesired differentness associated with a particular characteristic or condition that distinguishes a person as being outside the norm and cueing stereotypes. Stigma is common in people with multiple sclerosis (MS) and is associated with several disease variables including disease duration, age, age of onset, and disease course. Stigma is also associated with psychological and psychosocial variables such as depression, anxiety, and quality of life. This article reviews our current understanding of stigma in people with MS with a focus on the various stigma types including anticipated, experienced, and internalized stigma, and the lack of consistent definitions across studies. It also describes the 7 instruments that are most commonly used to measure stigma in people with MS, and the limitations of each measure. We conclude that a better understanding of stigma that includes standard definitions of stigma types could lead to more direct intervention strategies aimed at reducing particular stigma concepts and resulting in improved health-related quality of life in people with MS. [ABSTRACT FROM AUTHOR]

Published
2024
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25. Quantifying neurologic disease using biosensor measurements in-clinic and in free-living settings in multiple sclerosis

Author

Chitnis, Tanuja, Glanz, Bonnie I., Gonzalez, Cindy, Healy, Brian C., Saraceno, Taylor J., Sattarnezhad, Neda, Diaz-Cruz, Camilo, Polgar-Turcsanyi, Mariann, Tummala, Subhash, Bakshi, Rohit, Bajaj, Vikram S., Ben-Shimol, David, Bikhchandani, Nikhil, Blocker, Alexander W., Burkart, Joshua, Cendrillon, Raphael, Cusack, Michael P., Demiralp, Emre, Jooste, Sarel Kobus, Kharbouch, Alaa, Lee, Amy A., Lehár, Joseph, Liu, Manway, Mahadevan, Swaminathan, Murphy, Mark, Norton, Linda C., Parlikar, Tushar A., Pathak, Anupam, Shoeb, Ali, Soderberg, Erin, Stephens, Philip, Stoertz, Aaron H., Thng, Florence, Tumkur, Kashyap, Wang, Hongsheng, Rhodes, Jane, Rudick, Richard A., Ransohoff, Richard M., Phillips, Glenn A., Bruzik, Effie, Marks, William J., Weiner, Howard L., and Snyder, Thomas M.

Published
2019
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28. Correction to: Clinical trial-ready patient cohorts for multiple system atrophy: coupling biospecimen and iPSC banking to longitudinal deep-phenotyping

Author

Ndayisaba, Alain, primary, Pitaro, Ariana T., additional, Willett, Andrew S., additional, Jones, Kristie A., additional, de Gusmao, Claudio Melo, additional, Olsen, Abby L., additional, Kim, Jisoo, additional, Rissanen, Eero, additional, Woods, Jared K., additional, Srinivasan, Sharan R., additional, Nagy, Anna, additional, Nagy, Amanda, additional, Mesidor, Merlyne, additional, Cicero, Steven, additional, Patel, Viharkumar, additional, Oakley, Derek H., additional, Tuncali, Idil, additional, Taglieri-Noble, Katherine, additional, Clark, Emily C., additional, Paulson, Jordan, additional, Krolewski, Richard C., additional, Ho, Gary P., additional, Hung, Albert Y., additional, Wills, Anne-Marie, additional, Hayes, Michael T., additional, Macmore, Jason P., additional, Warren, Luigi, additional, Bower, Pamela G., additional, Langer, Carol B., additional, Kellerman, Lawrence R., additional, Humphreys, Christopher W., additional, Glanz, Bonnie I., additional, Dielubanza, Elodi J., additional, Frosch, Matthew P., additional, Freeman, Roy L., additional, Gibbons, Christopher H., additional, Stefanova, Nadia, additional, Chitnis, Tanuja, additional, Weiner, Howard L., additional, Scherzer, Clemens R., additional, Scholz, Sonja W., additional, Vuzman, Dana, additional, Cox, Laura M., additional, Wenning, Gregor, additional, Schmahmann, Jeremy D., additional, Gupta, Anoopum S., additional, Novak, Peter, additional, Young, Geoffrey S., additional, Feany, Mel B., additional, Singhal, Tarun, additional, and Khurana, Vikram, additional

Published
2022
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30. Clinical Trial-Ready Patient Cohorts for Multiple System Atrophy: Coupling Biospecimen and iPSC Banking to Longitudinal Deep-Phenotyping

Author

Ndayisaba, Alain, primary, Pitaro, Ariana T., additional, Willett, Andrew S., additional, Jones, Kristie A., additional, de Gusmao, Claudio Melo, additional, Olsen, Abby L., additional, Kim, Jisoo, additional, Rissanen, Eero, additional, Woods, Jared K., additional, Srinivasan, Sharan R., additional, Nagy, Anna, additional, Nagy, Amanda, additional, Mesidor, Merlyne, additional, Cicero, Steven, additional, Patel, Viharkumar, additional, Oakley, Derek H., additional, Tuncali, Idil, additional, Taglieri-Noble, Katherine, additional, Clark, Emily C., additional, Paulson, Jordan, additional, Krolewski, Richard C., additional, Ho, Gary P., additional, Hung, Albert Y., additional, Wills, Anne-Marie, additional, Hayes, Michael T., additional, Macmore, Jason P., additional, Warren, Luigi, additional, Bower, Pamela G., additional, Langer, Carol B., additional, Kellerman, Lawrence R., additional, Humphreys, Christopher W., additional, Glanz, Bonnie I., additional, Dielubanza, Elodi J., additional, Frosch, Matthew P., additional, Freeman, Roy L., additional, Gibbons, Christopher H., additional, Stefanova, Nadia, additional, Chitnis, Tanuja, additional, Weiner, Howard L., additional, Scherzer, Clemens R., additional, Scholz, Sonja W., additional, Vuzman, Dana, additional, Cox, Laura M., additional, Wenning, Gregor, additional, Schmahmann, Jeremy D., additional, Gupta, Anoopum S., additional, Novak, Peter, additional, Young, Geoffrey S., additional, Feany, Mel B., additional, Singhal, Tarun, additional, and Khurana, Vikram, additional

Published
2022
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37. Early Predictors of Clinical and MRI Outcomes Using Least Absolute Shrinkage and Selection Operator (LASSO) in Multiple Sclerosis

Author

Bose, Gauruv, primary, Healy, Brian C., additional, Lokhande, Hrishikesh A., additional, Sotiropoulos, Marinos G., additional, Polgar‐Turcsanyi, Mariann, additional, Anderson, Mark, additional, Glanz, Bonnie I., additional, Guttman, Charles R. G., additional, Bakshi, Rohit, additional, Weiner, Howard L., additional, and Chitnis, Tanuja, additional

Published
2022
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38. sj-docx-1-mso-10.1177_20552173211069348 - Supplemental material for Serum NfL levels in the first five years predict 10-year thalamic fraction in patients with MS

Author

Lokhande, Hrishikesh, Rosso, Mattia, Tauhid, Shahamat, Chu, Renxin, Healy, Brian C., Saxena, Shrishti, Barro, Christian, Paul, Anu, Polgar-Turcsanyi, Mariann, Anderson, Mark, Glanz, Bonnie I., Kropshofer, Harald, Granziera, Cristina, Leppert, David, Kappos, Ludwig, Kuhle, Jens, Weiner, Howard L., Bakshi, Rohit, and Chitnis, Tanuja

Subjects
FOS: Clinical medicine, 110904 Neurology and Neuromuscular Diseases, Neuroscience
Abstract

Supplemental material, sj-docx-1-mso-10.1177_20552173211069348 for Serum NfL levels in the first five years predict 10-year thalamic fraction in patients with MS by Hrishikesh Lokhande, Mattia Rosso, Shahamat Tauhid, Renxin Chu, Brian C. Healy, Shrishti Saxena, Christian Barro, Anu Paul, Mariann Polgar-Turcsanyi, Mark Anderson, Bonnie I. Glanz, Harald Kropshofer, Cristina Granziera, David Leppert, Ludwig Kappos, Jens Kuhle, Howard L. Weiner, Rohit Bakshi and Tanuja Chitnis in Multiple Sclerosis Journal ��� Experimental, Translational and Clinical

Published
2022
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39. Serum NfL levels in the first five years predict 10-year thalamic fraction in patients with MS

Author

Lokhande, Hrishikesh, primary, Rosso, Mattia, additional, Tauhid, Shahamat, additional, Chu, Renxin, additional, Healy, Brian C., additional, Saxena, Shrishti, additional, Barro, Christian, additional, Paul, Anu, additional, Polgar-Turcsanyi, Mariann, additional, Anderson, Mark, additional, Glanz, Bonnie I., additional, Kropshofer, Harald, additional, Granziera, Cristina, additional, Leppert, David, additional, Kappos, Ludwig, additional, Kuhle, Jens, additional, Weiner, Howard L., additional, Bakshi, Rohit, additional, and Chitnis, Tanuja, additional

Published
2022
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41. Serum NfL but not GFAP predicts cognitive decline in active progressive multiple sclerosis patients.

Author

Barro, Christian, Healy, Brian C, Saxena, Shrishti, Glanz, Bonnie I, Paul, Anu, Polgar-Turcsanyi, Mariann, Guttmann, Charles RG, Bakshi, Rohit, Weiner, Howard L, and Chitnis, Tanuja

Subjects
COGNITION disorders, GLIAL fibrillary acidic protein, MULTIPLE sclerosis
Abstract

Background: Cognitive decline is inadequately captured by the standard neurological examination. Serum neurofilament light chain (sNfL) and glial fibrillary acidic protein (sGFAP) are biomarkers of neuronal damage and astrocytic reactivity that may offer an accessible measure of the multiple sclerosis (MS) pathology linked to cognitive decline. Objective: To investigate the association of sNfL and sGFAP with cognitive decline in MS patients at high risk for progressive pathology. Methods: We included 94 MS patients with sustained Expanded Disability Status Score (EDSS) ⩾ 3, available serum samples and cognitive assessment performed by symbol digit modalities test (SDMT) over a median of 3.1 years. The visit for sGFAP/sNfL quantification was at confirmed EDSS ⩾ 3. Linear regression analysis on log-transformed sGFAP/sNfL assessed the association with current and future SDMT. Analyses were adjusted for age, sex, EDSS, treatment group, and recent relapse. Results: sNfL was significantly associated with concurrent SDMT (adjusted change in mean SDMT = −4.5; 95% confidence interval (CI): −8.7, −0.2; p = 0.039) and predicted decline in SDMT (adjusted change in slope: −1.14; 95% CI: −1.83, −0.44; p = 0.001), particularly in active patients. sGFAP was not associated with concurrent or future SDMT. Conclusions: Higher levels of sNfL were associated with cognitive impairment and predicted cognitive decline in MS patients at high risk for having an underlying progressive pathology. [ABSTRACT FROM AUTHOR]

Published
2023
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45. sj-pdf-1-mso-10.1177_20552173211015503 - Supplemental material for Relapse recovery in multiple sclerosis: Effect of treatment and contribution to long-term disability

Author

Sotiropoulos, Marinos G, Lokhande, Hrishikesh, Healy, Brian C, Polgar-Turcsanyi, Mariann, Glanz, Bonnie I, Bakshi, Rohit, Weiner, Howard L, and Chitnis, Tanuja

Subjects
FOS: Clinical medicine, education, 110904 Neurology and Neuromuscular Diseases, Neuroscience
Abstract

Supplemental material, sj-pdf-1-mso-10.1177_20552173211015503 for Relapse recovery in multiple sclerosis: Effect of treatment and contribution to long-term disability by Marinos G Sotiropoulos Hrishikesh Lokhande Brian C Healy Rohit Bakshi, Howard L Weiner and Tanuja Chitnis in Multiple Sclerosis Journal – Experimental, Translational and Clinical

Published
2021
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46. sj-pdf-1-mso-10.1177_2055217321999070 - Supplemental material for Confirmed disability progression provides limited predictive information regarding future disease progression in multiple sclerosis

Author

Healy, Brian C, Glanz, Bonnie I, Swallow, Elyse, Signorovitch, James, Hagan, Kaitlin, Silva, Diego, Pelletier, Corey, Chitnis, Tanuja, and Weiner, Howard

Subjects
FOS: Clinical medicine, 110904 Neurology and Neuromuscular Diseases, Neuroscience
Abstract

Supplemental material, sj-pdf-1-mso-10.1177_2055217321999070 for Confirmed disability progression provides limited predictive information regarding future disease progression in multiple sclerosis by Brian C Healy, Bonnie I Glanz Brigham and Women’s Hospital, Boston, MA, USA Elyse Swallow, James Signorovitch, Kaitlin Hagan Analysis Group, Boston, MA, USADiego Silva, CoreyPelletier Bristol Myers Squibb, Princeton, NJ, USA Tanuja Chitnis and HowardWeiner Brigham and Women’s Hospital, Boston, MA, USA in Multiple Sclerosis Journal – Experimental, Translational and Clinical

Published
2021
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47. sj-pdf-2-mso-10.1177_20552173211015503 - Supplemental material for Relapse recovery in multiple sclerosis: Effect of treatment and contribution to long-term disability

Author

Sotiropoulos, Marinos G, Lokhande, Hrishikesh, Healy, Brian C, Polgar-Turcsanyi, Mariann, Glanz, Bonnie I, Bakshi, Rohit, Weiner, Howard L, and Chitnis, Tanuja

Subjects
FOS: Clinical medicine, education, 110904 Neurology and Neuromuscular Diseases, Neuroscience
Abstract

Supplemental material, sj-pdf-2-mso-10.1177_20552173211015503 for Relapse recovery in multiple sclerosis: Effect of treatment and contribution to long-term disability by Marinos G Sotiropoulos Hrishikesh Lokhande Brian C Healy Rohit Bakshi, Howard L Weiner and Tanuja Chitnis in Multiple Sclerosis Journal – Experimental, Translational and Clinical

Published
2021
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48. Abstracts from the ASENT 2010 annual meeting March 4–6, 2010

Author

Apter, Jeffrey T., Fox, Robert J., Cronin, Thomas, Lin, Jian, Sakaie, Ken, Ontaneda, Daniel, Mahmoud, Shamseldeen Y., Lowe, Mark J., Phillips, Michael D., Wang, Xiaofeng, Goldberg-Zimring, Daniel, Chavarro-Nieto, Christian D., Healy, Brian C., Achiron, Anat, Warfield, Simon K., Neema, Mohit, Arora, Ashish, Tauhid, Shahamat, Stankiewicz, James M., Chavarro-Nieto, Christian, Ceccarelli, Antonia, Dell’Oglio, Elisa, Guttmann, Charles R. G., Atassi, Nazem, Ratai, Eva Maria, Greenblatt, David, Cudkowicz, Merit, DiBernardo, Allitia, Tauhid, Shahamat S., Moodie, Jenniffer, Buckle, Guy J., Gauthier, Susan A., Glanz, Bonnie I., Chitnis, Tanuja, Khoury, Samia J., Guttmann, Charles R. G., Weiner, Howard L., Ceccarelli, Antonia, Jackson, Jonathan S., Tauhid, Shahamat S., Chavarro-Nieto, Christian, Dell’Oglio, Elisa, Bakshi, Anshika, Bakshi, Rohit, Cramer, Joyce, Dlugos, Dennis, Wiegand, Frank, Novak, Gerald, Olson, William, Grinspan, Augusto, Li, Shihong, Loane, David J., Stoica, Bogdan A., Faden, Alan I., Pajoohesh-Ganji, Ahdeah, Faden, Alan, Wesnes, Keith Andrew, Brooker, Helen, Edgar, Chris, Haubenberger, Dietrich, Kalowitz, Daniel, Nahab, Fatta B., Toro, Camilo, Ippolito, Daniel, Wittevrongel, Loretta, Hallett, Mark, Guttuso, Thomas, Salins, Naomi, Lichter, David, Alexander, Elaine, Pfadenhauer, E. H., von Gunten, Charles, Helton, David, Gopal, Srihari, Berwaerts, Joris, Nuamah, Isaac, Akhras, Kasem, Coppola, Danielle, Daly, Ella, Hough, David, Palumbo, Joseph, Bermel, Robert, Imrey, Peter, and Cohen, Jeffrey

Published
2010
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49. Abstracts from the ASENT 2008 Annual Meeting March 6–8, 2008

Author

VanDenburgh, Amanda, Shah, Manasee V., Hua, S., Abu-Shakra, S., Wagg, Jon, Khariton, Tatiana, Beddingfield, F. C., Brin, M. F., Herr, Barbara E., Hart, Kimberly A., McDermott, Michael, Griggs, Robert C., Herbelin, Laura, Barohn, Richard, Loane, David J., Byrnes, Kimberly R., Stoica, Bogdan A., Pajoohesh-Ganji, Ahdeah, Faden, Alan I., Nahab, Fatta, Wittevrongel, Loretta, Hallett, Mark, Li, Ingrid, Brady, Linda, Driscoll, Jamie, Guyer, Mark, Yao, Yong, Almeida, Luis, Maia, Joana, Soares-da-Silva, Patricio, Rocha, Jose Francisco, Lopes, Carlos, Nunes, Teresa, Machado, Rita, Costa, Raquel, Torrão, Leonel, Loureiro, Ana-Isabel, Vaz-da-Silva, Manuel, Wright, Lyndon, Falcão, Amilcar, Coelho, Rui, Albino-Teixeira, Antonio, Cusack, Noel, Hurtt, Mark, Katner, Simon, Torchia, John, Solomon, Bruce, Guinn, Robyn, Rohde, Candace, Thorne, Christine, Cusack, Noel J., Aungst, Bruce, Venkatarangan, Lata, Behrens, Davette, Brown, Foster, Meltzer, Peter, Bakshi, Rohit, Neema, Mohit, Healy, Brian C., Liptak, Zsuzsanna, Betensky, Rebecca A., Buckle, Guy J., Gauthier, Susan A., Stankiewicz, James, Meier, Dominik, Egorova, Svetlana, Arora, Ashish, Guss, Zachary D., Glanz, Bonnie I., Khoury, Samia J., Guttmann, Charles R. G., Weiner, Howard L., Guss, Jason G., and CINCH Study Group

Published
2008
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50. Gut Microbiome in Progressive Multiple Sclerosis

Author

Cox, Laura M., primary, Maghzi, Amir Hadi, additional, Liu, Shirong, additional, Tankou, Stephanie K., additional, Dhang, Fyonn H., additional, Willocq, Valerie, additional, Song, Anya, additional, Wasén, Caroline, additional, Tauhid, Shahamat, additional, Chu, Renxin, additional, Anderson, Mark C., additional, De Jager, Philip L., additional, Polgar‐Turcsanyi, Mariann, additional, Healy, Brian C., additional, Glanz, Bonnie I., additional, Bakshi, Rohit, additional, Chitnis, Tanuja, additional, and Weiner, Howard L., additional

Published
2021
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