Baranzini, Sergio E.

Multiple sclerosis genomic map implicates peripheral immune cells and microglia in susceptibility

International Multiple Sclerosis Genetics Consortium, Patsopoulos, N. A., Baranzini, S. E., Santaniello, A., Shoostari, P., Cotsapas, C., Wong, G., Beecham, A. H., James, T., Replogle, J., et al. (2019) · Science

Multiple Sclerosis Research StudiesGenetic Associations and Epidemiology

Cited by 1,471

Gut microbiota from multiple sclerosis patients enables spontaneous autoimmune encephalomyelitis in mice

Berer, K., Gerdes, L. A., Cekanaviciute, E., Jia, X., Xiao, L., Xia, Z., Liu, C., Klotz, L., Stauffer, U., Baranzini, S. E., et al. (2017) · Proceedings of the National Academy of Sciences

Multiple Sclerosis Research StudiesGut microbiota and health

Cited by 933

The influence of the proinflammatory cytokine, osteopontin, on autoimmune demyelinating disease

Chabas, D., Baranzini, S. E., Mitchell, D., Bernard, C. C. A., Rittling, S. R., Denhardt, D. T., Sobel, R. A., Lock, C., Karpuj, M., Pedotti, R., et al. (2001) · Science

Multiple Sclerosis Research StudiesBone and Dental Protein Studies

Cited by 829

Meta-analysis of genome scans and replication identify CD6, IRF8 and TNFRSF1A as new multiple sclerosis susceptibility loci

International MS Genetics Consortium, De Jager, P. L., Jia, X., Wang, J., de Bakker, P. I. W., Ottoboni, L., Aggarwal, N. T., Piccio, L., Raychaudhuri, S., Tran, D., et al. (2009) · Nature Genetics

Multiple Sclerosis Research StudiesGenetic Associations and Epidemiology

Cited by 800

Systematic integration of biomedical knowledge prioritizes drugs for repurposing

Himmelstein, D. S., Lizee, A., Hessler, C., Brueggeman, L., Chen, S. L., Hadley, D., Green, A., Khankhanian, P., & Baranzini, S. E. (2017) · eLife

Computational Drug Discovery MethodsBiomedical Text Mining and Ontologies

Cited by 666

Incidental MRI anomalies suggestive of multiple sclerosis: The radiologically isolated syndrome

Okuda, D. T., Mowry, E. M., Beheshtian, A., Waubant, E., Baranzini, S. E., Goodin, D. S., Hauser, S. L., & Pelletier, D. (2009) · Neurology

Multiple Sclerosis Research StudiesPolyomavirus and related diseases

Cited by 642

Genome, epigenome and RNA sequences of monozygotic twins discordant for multiple sclerosis

Baranzini, S. E., Mudge, J., van Velkinburgh, J. C., Khankhanian, P., Khrebtukova, I., Miller, N. A., Zhang, L., Farmer, A. D., Bell, C. J., Kim, R. W., et al. (2010) · Nature

Multiple Sclerosis Research StudiesGenetic Associations and Epidemiology

Cited by 476

Genome-wide association analysis of susceptibility and clinical phenotype in multiple sclerosis

Baranzini, S. E., Wang, J., Gibson, R. A., Galwey, N., Naegelin, Y., Barkhof, F., Radue, E.-W., Lindberg, R. L. P., Uitdehaag, B. M. G., Johnson, M. R., et al. (2009) · Human Molecular Genetics

Multiple Sclerosis Research StudiesGenetic Associations and Epidemiology

Cited by 476

Pathway and network-based analysis of genome-wide association studies in multiple sclerosis

Baranzini, S. E., Galwey, N. W., Wang, J., Khankhanian, P., Lindberg, R., Pelletier, D., Wu, W., Uitdehaag, B. M. J., Kappos, L., GeneMSA Consortium, et al. (2009) · Human Molecular Genetics

Multiple Sclerosis Research StudiesBioinformatics and Genomic Networks

Cited by 383

Recirculating Intestinal IgA-Producing Cells Regulate Neuroinflammation via IL-10

Rojas, O. L., Pröbstel, A.-K., Porfilio, E. A., Wang, A. A., Charabati, M., Sun, T., Lee, D. S. W., Galicia, G., Ramaglia, V., Ward, L. A., et al. (2019) · Cell

Multiple Sclerosis Research StudiesT-cell and B-cell Immunology

Cited by 382

Axin2 as regulatory and therapeutic target in newborn brain injury and remyelination

Fancy, S. P. J., Harrington, E. P., Yuen, T. J., Silbereis, J. C., Zhao, C., Baranzini, S. E., Bruce, C. C., Otero, J. J., Huang, E. J., Nusse, R., et al. (2011) · Nature Neuroscience

Neurogenesis and neuroplasticity mechanismsNeonatal and fetal brain pathology

Cited by 349

The genetics of multiple sclerosis: SNPs to pathways to pathogenesis

Oksenberg, J. R., Baranzini, S. E., Sawcer, S., & Hauser, S. L. (2008) · Nature Reviews Genetics

Multiple Sclerosis Research StudiesGenetic Associations and Epidemiology

Cited by 347

Locus for severity implicates CNS resilience in progression of multiple sclerosis

International Multiple Sclerosis Genetics Consortium, Harroud, A., Stridh, P., McCauley, J. L., Saarela, J., van den Bosch, A. M. R., Engelenburg, H. J., Beecham, A. H., Alfredsson, L., Alikhani, K., et al. (2023) · Nature

Multiple Sclerosis Research StudiesGenetic Associations and Epidemiology

Cited by 243

The role of the gut microbiota in multiple sclerosis

Correale, J., Hohlfeld, R., & Baranzini, S. E. (2022) · Nature Reviews Neurology

Gut microbiota and healthMultiple Sclerosis Research Studies

Cited by 207

Modules, networks and systems medicine for understanding disease and aiding diagnosis

Gustafsson, M., Nestor, C. E., Zhang, H., Barabási, A.-L., Baranzini, S., Brunak, S., Chung, K. F., Federoff, H. J., Gavin, A.-C., Meehan, R. R., et al. (2014) · Genome Medicine

Bioinformatics and Genomic NetworksBiomedical Text Mining and Ontologies

Cited by 194

Heterogeneous Network Edge Prediction: A Data Integration Approach to Prioritize Disease-Associated Genes

Himmelstein, D. S., & Baranzini, S. E. (2015) · PLOS Computational Biology

Bioinformatics and Genomic NetworksGenetic Associations and Epidemiology

Cited by 172

Janus-like opposing roles of CD47 in autoimmune brain inflammation in humans and mice

Han, M. H., Lundgren, D. H., Jaiswal, S., Chao, M., Graham, K. L., Garris, C. S., Axtell, R. C., Ho, P. P., Lock, C. B., Woodard, J. I., et al. (2012) · Journal of Experimental Medicine

Phagocytosis and Immune RegulationMultiple Sclerosis Research Studies

Cited by 157

Biomedical knowledge graph-optimized prompt generation for large language models

Soman, K., Rose, P. W., Morris, J. H., Akbas, R. E., Smith, B., Peetoom, B., Villouta-Reyes, C., Cerono, G., Shi, Y., Rizk-Jackson, A., et al. (2024) · Bioinformatics

Artificial Intelligence in Healthcare and EducationTopic Modeling

Cited by 135

The Role of the Gut Microbiome in Multiple Sclerosis Risk and Progression : Towards Characterization of the “MS Microbiome.”

Pröbstel, A.-K., & Baranzini, S. E. (2018) · Neurotherapeutics

Multiple Sclerosis Research StudiesGut microbiota and health

Cited by 110

The scalable precision medicine open knowledge engine (SPOKE): a massive knowledge graph of biomedical information

Morris, J. H., Soman, K., Akbas, R. E., Zhou, X., Smith, B., Meng, E. C., Huang, C. C., Cerono, G., Schenk, G., Rizk-Jackson, A., et al. (2023) · Bioinformatics

Biomedical Text Mining and OntologiesSemantic Web and Ontologies

Cited by 99

Leveraging electronic health records and knowledge networks for Alzheimer's disease prediction and sex-specific biological insights

Tang, A. S., Rankin, K. P., Cerono, G., Miramontes, S., Mills, H., Roger, J., Zeng, B., Nelson, C., Soman, K., Woldemariam, S., et al. (2024) · Nature Aging

Dementia and Cognitive Impairment ResearchMachine Learning in Healthcare

Cited by 86

Integrating biomedical research and electronic health records to create knowledge-based biologically meaningful machine-readable embeddings

Nelson, C. A., Butte, A. J., & Baranzini, S. E. (2019) · Nature Communications

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 85