1
|
Chitnis T, Qureshi F, Gehman VM, Becich M, Bove R, Cree BAC, Gomez R, Hauser SL, Henry RG, Katrib A, Lokhande H, Paul A, Caillier SJ, Santaniello A, Sattarnezhad N, Saxena S, Weiner H, Yano H, Baranzini SE. Inflammatory and neurodegenerative serum protein biomarkers increase sensitivity to detect clinical and radiographic disease activity in multiple sclerosis. Nat Commun 2024; 15:4297. [PMID: 38769309 DOI: 10.1038/s41467-024-48602-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 05/07/2024] [Indexed: 05/22/2024] Open
Abstract
The multifaceted nature of multiple sclerosis requires quantitative biomarkers that can provide insights related to diverse physiological pathways. To this end, proteomic analysis of deeply-phenotyped serum samples, biological pathway modeling, and network analysis were performed to elucidate inflammatory and neurodegenerative processes, identifying sensitive biomarkers of multiple sclerosis disease activity. Here, we evaluated the concentrations of > 1400 serum proteins in 630 samples from three multiple sclerosis cohorts for association with clinical and radiographic new disease activity. Twenty proteins were associated with increased clinical and radiographic multiple sclerosis disease activity for inclusion in a custom assay panel. Serum neurofilament light chain showed the strongest univariate correlation with gadolinium lesion activity, clinical relapse status, and annualized relapse rate. Multivariate modeling outperformed univariate for all endpoints. A comprehensive biomarker panel including the twenty proteins identified in this study could serve to characterize disease activity for a patient with multiple sclerosis.
Collapse
Affiliation(s)
| | | | | | | | - Riley Bove
- Department of Neurology. Weill Institute for Neurosciences. University of California San Francisco, San Francisco, CA, USA
| | - Bruce A C Cree
- Department of Neurology. Weill Institute for Neurosciences. University of California San Francisco, San Francisco, CA, USA
| | - Refujia Gomez
- Department of Neurology. Weill Institute for Neurosciences. University of California San Francisco, San Francisco, CA, USA
| | - Stephen L Hauser
- Department of Neurology. Weill Institute for Neurosciences. University of California San Francisco, San Francisco, CA, USA
| | - Roland G Henry
- Department of Neurology. Weill Institute for Neurosciences. University of California San Francisco, San Francisco, CA, USA
| | | | | | - Anu Paul
- Brigham and Women's Hospital, Boston, MA, USA
| | - Stacy J Caillier
- Department of Neurology. Weill Institute for Neurosciences. University of California San Francisco, San Francisco, CA, USA
| | - Adam Santaniello
- Department of Neurology. Weill Institute for Neurosciences. University of California San Francisco, San Francisco, CA, USA
| | | | | | | | - Hajime Yano
- Brigham and Women's Hospital, Boston, MA, USA
| | - Sergio E Baranzini
- Department of Neurology. Weill Institute for Neurosciences. University of California San Francisco, San Francisco, CA, USA
| |
Collapse
|
2
|
Zamecnik CR, Sowa GM, Abdelhak A, Dandekar R, Bair RD, Wade KJ, Bartley CM, Kizer K, Augusto DG, Tubati A, Gomez R, Fouassier C, Gerungan C, Caspar CM, Alexander J, Wapniarski AE, Loudermilk RP, Eggers EL, Zorn KC, Ananth K, Jabassini N, Mann SA, Ragan NR, Santaniello A, Henry RG, Baranzini SE, Zamvil SS, Sabatino JJ, Bove RM, Guo CY, Gelfand JM, Cuneo R, von Büdingen HC, Oksenberg JR, Cree BAC, Hollenbach JA, Green AJ, Hauser SL, Wallin MT, DeRisi JL, Wilson MR. An autoantibody signature predictive for multiple sclerosis. Nat Med 2024; 30:1300-1308. [PMID: 38641750 DOI: 10.1038/s41591-024-02938-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 03/21/2024] [Indexed: 04/21/2024]
Abstract
Although B cells are implicated in multiple sclerosis (MS) pathophysiology, a predictive or diagnostic autoantibody remains elusive. In this study, the Department of Defense Serum Repository (DoDSR), a cohort of over 10 million individuals, was used to generate whole-proteome autoantibody profiles of hundreds of patients with MS (PwMS) years before and subsequently after MS onset. This analysis defines a unique cluster in approximately 10% of PwMS who share an autoantibody signature against a common motif that has similarity with many human pathogens. These patients exhibit antibody reactivity years before developing MS symptoms and have higher levels of serum neurofilament light (sNfL) compared to other PwMS. Furthermore, this profile is preserved over time, providing molecular evidence for an immunologically active preclinical period years before clinical onset. This autoantibody reactivity was validated in samples from a separate incident MS cohort in both cerebrospinal fluid and serum, where it is highly specific for patients eventually diagnosed with MS. This signature is a starting point for further immunological characterization of this MS patient subset and may be clinically useful as an antigen-specific biomarker for high-risk patients with clinically or radiologically isolated neuroinflammatory syndromes.
Collapse
Affiliation(s)
- Colin R Zamecnik
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Gavin M Sowa
- University of California, San Francisco School of Medicine, San Francisco, CA, USA
- Department of Medicine, McGaw Medical Center of Northwestern University, Chicago, IL, USA
| | - Ahmed Abdelhak
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Ravi Dandekar
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Rebecca D Bair
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Kristen J Wade
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Christopher M Bartley
- Department of Psychiatry and Behavioral Sciences, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Kerry Kizer
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Danillo G Augusto
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Department of Biological Sciences, University of North Carolina at Charlotte, Charlotte, NC, USA
| | - Asritha Tubati
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Refujia Gomez
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Camille Fouassier
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Chloe Gerungan
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Colette M Caspar
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Jessica Alexander
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Anne E Wapniarski
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Rita P Loudermilk
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Erica L Eggers
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Kelsey C Zorn
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
| | - Kirtana Ananth
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Nora Jabassini
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Sabrina A Mann
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
- Chan Zuckerberg Biohub San Francisco, San Francisco, CA, USA
| | - Nicholas R Ragan
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Adam Santaniello
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Roland G Henry
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Sergio E Baranzini
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Scott S Zamvil
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Joseph J Sabatino
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Riley M Bove
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Chu-Yueh Guo
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Jeffrey M Gelfand
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Richard Cuneo
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - H-Christian von Büdingen
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Jorge R Oksenberg
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Bruce A C Cree
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Jill A Hollenbach
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Ari J Green
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Stephen L Hauser
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Mitchell T Wallin
- Department of Veterans Affairs, Multiple Sclerosis Center of Excellence, Washington, DC, USA
- University of Maryland School of Medicine, Baltimore, MD, USA
| | - Joseph L DeRisi
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
- Chan Zuckerberg Biohub San Francisco, San Francisco, CA, USA
| | - Michael R Wilson
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.
| |
Collapse
|
3
|
Chitnis T, Qureshi F, Gehman VM, Becich M, Bove R, Cree BAC, Gomez R, Hauser SL, Henry RG, Katrib A, Lokhande H, Paul A, Caillier SJ, Santaniello A, Sattarnezhad N, Saxena S, Weiner H, Yano H, Baranzini SE. Inflammatory and neurodegenerative serum protein biomarkers increase sensitivity to detect disease activity in multiple sclerosis. medRxiv 2023:2023.06.28.23291157. [PMID: 37461671 PMCID: PMC10350151 DOI: 10.1101/2023.06.28.23291157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/29/2024]
Abstract
Background/Objectives Serum proteomic analysis of deeply-phenotyped samples, biological pathway modeling and network analysis were performed to elucidate the inflammatory and neurodegenerative processes of multiple sclerosis (MS) and identify sensitive biomarkers of MS disease activity (DA). Methods Over 1100 serum proteins were evaluated in >600 samples from three MS cohorts to identify biomarkers of clinical and radiographic (gadolinium-enhancing lesions) new MS DA. Protein levels were analyzed and associated with presence of gadolinium-enhancing lesions, clinical relapse status (CRS), and annualized relapse rate (ARR) to create a custom assay panel. Results Twenty proteins were associated with increased clinical and radiographic MS DA. Serum neurofilament light chain (NfL) showed the strongest univariate correlation with radiographic and clinical DA measures. Multivariate modeling significantly outperformed univariate NfL to predict gadolinium lesion activity, CRS and ARR. Discussion These findings provide insight regarding correlations between inflammatory and neurodegenerative biomarkers and clinical and radiographic MS DA. Funding Octave Bioscience, Inc (Menlo Park, CA).
Collapse
|
4
|
Zamecnik CR, Sowa GM, Abdelhak A, Dandekar R, Bair RD, Wade KJ, Bartley CM, Tubati A, Gomez R, Fouassier C, Gerungan C, Alexander J, Wapniarski AE, Loudermilk RP, Eggers EL, Zorn KC, Ananth K, Jabassini N, Mann SA, Ragan NR, Santaniello A, Henry RG, Baranzini SE, Zamvil SS, Bove RM, Guo CY, Gelfand JM, Cuneo R, von Büdingen HC, Oksenberg JR, Cree BAC, Hollenbach JA, Green AJ, Hauser SL, Wallin MT, DeRisi JL, Wilson MR. A Predictive Autoantibody Signature in Multiple Sclerosis. medRxiv 2023:2023.05.01.23288943. [PMID: 37205595 PMCID: PMC10187343 DOI: 10.1101/2023.05.01.23288943] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Although B cells are implicated in multiple sclerosis (MS) pathophysiology, a predictive or diagnostic autoantibody remains elusive. Here, the Department of Defense Serum Repository (DoDSR), a cohort of over 10 million individuals, was used to generate whole-proteome autoantibody profiles of hundreds of patients with MS (PwMS) years before and subsequently after MS onset. This analysis defines a unique cluster of PwMS that share an autoantibody signature against a common motif that has similarity with many human pathogens. These patients exhibit antibody reactivity years before developing MS symptoms and have higher levels of serum neurofilament light (sNfL) compared to other PwMS. Furthermore, this profile is preserved over time, providing molecular evidence for an immunologically active prodromal period years before clinical onset. This autoantibody reactivity was validated in samples from a separate incident MS cohort in both cerebrospinal fluid (CSF) and serum, where it is highly specific for patients eventually diagnosed with MS. This signature is a starting point for further immunological characterization of this MS patient subset and may be clinically useful as an antigen-specific biomarker for high-risk patients with clinically- or radiologically-isolated neuroinflammatory syndromes.
Collapse
Affiliation(s)
- Colin R. Zamecnik
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Gavin M. Sowa
- Department of Medicine, McGaw Medical Center of Northwestern University, Chicago, IL, USA
| | - Ahmed Abdelhak
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Ravi Dandekar
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Rebecca D. Bair
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Kristen J. Wade
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Christopher M. Bartley
- UCSF Weill Institute for Neurosciences, Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, USA
| | - Asritha Tubati
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Refujia Gomez
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Camille Fouassier
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Chloe Gerungan
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Jessica Alexander
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Anne E. Wapniarski
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Rita P. Loudermilk
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Erica L. Eggers
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Kelsey C. Zorn
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA, USA
| | - Kirtana Ananth
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Nora Jabassini
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Sabrina A. Mann
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA, USA
| | - Nicholas R. Ragan
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Adam Santaniello
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Roland G. Henry
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Sergio E. Baranzini
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Scott S. Zamvil
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Riley M. Bove
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Chu-Yueh Guo
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Jeffrey M. Gelfand
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Richard Cuneo
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - H.-Christian von Büdingen
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Jorge R. Oksenberg
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Bruce AC Cree
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Jill A. Hollenbach
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA USA
| | - Ari J. Green
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Stephen L. Hauser
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Mitchell T. Wallin
- Veterans Affairs, Multiple Sclerosis Center of Excellence, Washington, DC and University of Maryland School of Medicine, Baltimore, MD, USA
| | - Joseph L. DeRisi
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Michael R. Wilson
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| |
Collapse
|
5
|
Bove R, Poole S, Cuneo R, Gupta S, Sabatino J, Harms M, Cooper T, Rowles W, Miller N, Gomez R, Lincoln R, McPolin K, Powers K, Santaniello A, Renschen A, Bevan CJ, Gelfand JM, Goodin DS, Guo CY, Romeo AR, Hauser SL, Campbell Cree BA. Remote Observational Research for Multiple Sclerosis: A Natural Experiment. Neurol Neuroimmunol Neuroinflamm 2023; 10:10/2/e200070. [PMID: 36585249 PMCID: PMC9808915 DOI: 10.1212/nxi.0000000000200070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Accepted: 04/10/2022] [Indexed: 01/01/2023]
Abstract
BACKGROUND AND OBJECTIVES Prospective, deeply phenotyped research cohorts monitoring individuals with chronic neurologic conditions, such as multiple sclerosis (MS), depend on continued participant engagement. The COVID-19 pandemic restricted in-clinic research activities, threatening this longitudinal engagement, but also forced adoption of televideo-enabled care. This offered a natural experiment in which to analyze key dimensions of remote research: (1) comparison of remote vs in-clinic visit costs from multiple perspectives and (2) comparison of the remote with in-clinic measures in cross-sectional and longitudinal disability evaluations. METHODS Between March 2020 and December 2021, 207 MS cohort participants underwent hybrid in-clinic and virtual research visits; 96 contributed 100 "matched visits," that is, in-clinic (Neurostatus-Expanded Disability Status Scale [NS-EDSS]) and remote (televideo-enabled EDSS [tele-EDSS]; electronic patient-reported EDSS [ePR-EDSS]) evaluations. Clinical, demographic, and socioeconomic characteristics of participants were collected. RESULTS The costs of remote visits were lower than in-clinic visits for research investigators (facilities, personnel, parking, participant compensation) but also for participants (travel, caregiver time) and carbon footprint (p < 0.05 for each). Median cohort EDSS was similar between the 3 modalities (NS-EDSS: 2, tele-EDSS: 1.5, ePR-EDSS: 2, range 0.6.5); the remote evaluations were each noninferior to the NS-EDSS within ±0.5 EDSS point (TOST for noninferiority, p < 0.01 for each). Furthermore, year to year, the % of participants with worsening/stable/improved EDSS scores was similar, whether each annual evaluation used NS-EDSS or whether it switched from NS-EDSS to tele-EDSS. DISCUSSION Altogether, the current findings suggest that remote evaluations can reduce the costs of research participation for patients, while providing a reasonable evaluation of disability trajectory longitudinally. This could inform the design of remote research that is more inclusive of diverse participants.
Collapse
Affiliation(s)
- Riley Bove
- From the UCSF Weill Institute for Neuroscience, Division of Neuroimmunology and Glial Biology, Department of Neurology, University of California San Francisco, San Francisco, CA.
| | - Shane Poole
- From the UCSF Weill Institute for Neuroscience, Division of Neuroimmunology and Glial Biology, Department of Neurology, University of California San Francisco, San Francisco, CA
| | - Richard Cuneo
- From the UCSF Weill Institute for Neuroscience, Division of Neuroimmunology and Glial Biology, Department of Neurology, University of California San Francisco, San Francisco, CA
| | - Sasha Gupta
- From the UCSF Weill Institute for Neuroscience, Division of Neuroimmunology and Glial Biology, Department of Neurology, University of California San Francisco, San Francisco, CA
| | - Joseph Sabatino
- From the UCSF Weill Institute for Neuroscience, Division of Neuroimmunology and Glial Biology, Department of Neurology, University of California San Francisco, San Francisco, CA
| | - Meagan Harms
- From the UCSF Weill Institute for Neuroscience, Division of Neuroimmunology and Glial Biology, Department of Neurology, University of California San Francisco, San Francisco, CA
| | - Tifffany Cooper
- From the UCSF Weill Institute for Neuroscience, Division of Neuroimmunology and Glial Biology, Department of Neurology, University of California San Francisco, San Francisco, CA
| | - William Rowles
- From the UCSF Weill Institute for Neuroscience, Division of Neuroimmunology and Glial Biology, Department of Neurology, University of California San Francisco, San Francisco, CA
| | - Nicolette Miller
- From the UCSF Weill Institute for Neuroscience, Division of Neuroimmunology and Glial Biology, Department of Neurology, University of California San Francisco, San Francisco, CA
| | - Refujia Gomez
- From the UCSF Weill Institute for Neuroscience, Division of Neuroimmunology and Glial Biology, Department of Neurology, University of California San Francisco, San Francisco, CA
| | - Robin Lincoln
- From the UCSF Weill Institute for Neuroscience, Division of Neuroimmunology and Glial Biology, Department of Neurology, University of California San Francisco, San Francisco, CA
| | - Kira McPolin
- From the UCSF Weill Institute for Neuroscience, Division of Neuroimmunology and Glial Biology, Department of Neurology, University of California San Francisco, San Francisco, CA
| | - Kyra Powers
- From the UCSF Weill Institute for Neuroscience, Division of Neuroimmunology and Glial Biology, Department of Neurology, University of California San Francisco, San Francisco, CA
| | - Adam Santaniello
- From the UCSF Weill Institute for Neuroscience, Division of Neuroimmunology and Glial Biology, Department of Neurology, University of California San Francisco, San Francisco, CA
| | - Adam Renschen
- From the UCSF Weill Institute for Neuroscience, Division of Neuroimmunology and Glial Biology, Department of Neurology, University of California San Francisco, San Francisco, CA
| | - Carolyn J Bevan
- From the UCSF Weill Institute for Neuroscience, Division of Neuroimmunology and Glial Biology, Department of Neurology, University of California San Francisco, San Francisco, CA
| | - Jeffrey M Gelfand
- From the UCSF Weill Institute for Neuroscience, Division of Neuroimmunology and Glial Biology, Department of Neurology, University of California San Francisco, San Francisco, CA
| | - Douglas S Goodin
- From the UCSF Weill Institute for Neuroscience, Division of Neuroimmunology and Glial Biology, Department of Neurology, University of California San Francisco, San Francisco, CA
| | - Chu-Yueh Guo
- From the UCSF Weill Institute for Neuroscience, Division of Neuroimmunology and Glial Biology, Department of Neurology, University of California San Francisco, San Francisco, CA
| | - Andrew R Romeo
- From the UCSF Weill Institute for Neuroscience, Division of Neuroimmunology and Glial Biology, Department of Neurology, University of California San Francisco, San Francisco, CA
| | - Stephen L Hauser
- From the UCSF Weill Institute for Neuroscience, Division of Neuroimmunology and Glial Biology, Department of Neurology, University of California San Francisco, San Francisco, CA
| | | | | |
Collapse
|
6
|
Zhou X, Baumann R, Gao X, Mendoza M, Singh S, Sand IK, Xia Z, Cox LM, Chitnis T, Yoon H, Moles L, Caillier SJ, Santaniello A, Ackermann G, Harroud A, Lincoln R, Gomez R, Peña AG, Digga E, Hakim DJ, Vazquez-Baeza Y, Soman K, Warto S, Humphrey G, Farez M, Gerdes LA, Oksenberg JR, Zamvil SS, Chandran S, Connick P, Otaegui D, Castillo-Triviño T, Hauser SL, Gelfand JM, Weiner HL, Hohlfeld R, Wekerle H, Graves J, Bar-Or A, Cree BA, Correale J, Knight R, Baranzini SE. Gut microbiome of multiple sclerosis patients and paired household healthy controls reveal associations with disease risk and course. Cell 2022; 185:3467-3486.e16. [PMID: 36113426 PMCID: PMC10143502 DOI: 10.1016/j.cell.2022.08.021] [Citation(s) in RCA: 66] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2021] [Revised: 04/21/2022] [Accepted: 08/18/2022] [Indexed: 02/07/2023]
Abstract
Changes in gut microbiota have been associated with several diseases. Here, the International Multiple Sclerosis Microbiome Study (iMSMS) studied the gut microbiome of 576 MS patients (36% untreated) and genetically unrelated household healthy controls (1,152 total subjects). We observed a significantly increased proportion of Akkermansia muciniphila, Ruthenibacterium lactatiformans, Hungatella hathewayi, and Eisenbergiella tayi and decreased Faecalibacterium prausnitzii and Blautia species. The phytate degradation pathway was over-represented in untreated MS, while pyruvate-producing carbohydrate metabolism pathways were significantly reduced. Microbiome composition, function, and derived metabolites also differed in response to disease-modifying treatments. The therapeutic activity of interferon-β may in part be associated with upregulation of short-chain fatty acid transporters. Distinct microbial networks were observed in untreated MS and healthy controls. These results strongly support specific gut microbiome associations with MS risk, course and progression, and functional changes in response to treatment.
Collapse
Affiliation(s)
- Xiaoyuan Zhou
- Weill Institute for Neurosciences. Department of Neurology, University of California, San Francisco, CA, USA
| | - Ryan Baumann
- Weill Institute for Neurosciences. Department of Neurology, University of California, San Francisco, CA, USA
| | - Xiaohui Gao
- Weill Institute for Neurosciences. Department of Neurology, University of California, San Francisco, CA, USA
| | - Myra Mendoza
- Weill Institute for Neurosciences. Department of Neurology, University of California, San Francisco, CA, USA
| | - Sneha Singh
- Weill Institute for Neurosciences. Department of Neurology, University of California, San Francisco, CA, USA
| | - Ilana Katz Sand
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Zongqi Xia
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Lau M. Cox
- Department of Neurology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Tanuja Chitnis
- Department of Neurology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Hongsup Yoon
- Institute of Clinical Neuroimmunology, Biomedical Center and University Hospitals, Ludwig-Maximilians-Universität München, and Munich Cluster of Systems Neurology (SyNergy), München, Germany
- Department Neuroimmunology, Max Planck Institute (MPI) of Neurobiology, Munich, Germany
| | - Laura Moles
- Neurosciences Area, Biodonostia Health Research Institute, San Sebastián, Spain
| | - Stacy J. Caillier
- Weill Institute for Neurosciences. Department of Neurology, University of California, San Francisco, CA, USA
| | - Adam Santaniello
- Weill Institute for Neurosciences. Department of Neurology, University of California, San Francisco, CA, USA
| | - Gail Ackermann
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Adil Harroud
- Weill Institute for Neurosciences. Department of Neurology, University of California, San Francisco, CA, USA
| | - Robin Lincoln
- Weill Institute for Neurosciences. Department of Neurology, University of California, San Francisco, CA, USA
| | | | | | - Elise Digga
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Daniel Joseph Hakim
- Department of Bioinformatics and Systems Biology, University of California, San Diego, La Jolla, CA, USA
| | - Yoshiki Vazquez-Baeza
- Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA, USA
| | - Karthik Soman
- Weill Institute for Neurosciences. Department of Neurology, University of California, San Francisco, CA, USA
| | - Shannon Warto
- Weill Institute for Neurosciences. Department of Neurology, University of California, San Francisco, CA, USA
| | - Greg Humphrey
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | - Mauricio Farez
- Department of Neurology, Institute for Neurological Research Dr. Raul Carrea (FLENI), Buenos Aires, Argentina
| | - Lisa Ann Gerdes
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Jorge R. Oksenberg
- Weill Institute for Neurosciences. Department of Neurology, University of California, San Francisco, CA, USA
| | - Scott S. Zamvil
- Weill Institute for Neurosciences. Department of Neurology, University of California, San Francisco, CA, USA
| | | | - Peter Connick
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - David Otaegui
- Neurosciences Area, Biodonostia Health Research Institute, San Sebastián, Spain
| | - Tamara Castillo-Triviño
- Neurosciences Area, Biodonostia Health Research Institute, San Sebastián, Spain
- Department of Neurology, Hospital Universitario Donostia and Neurosciences Area, Biodonostia Health Research Institute, San Sebastián, Spain
| | - Stephen L. Hauser
- Weill Institute for Neurosciences. Department of Neurology, University of California, San Francisco, CA, USA
| | - Jeffrey M. Gelfand
- Weill Institute for Neurosciences. Department of Neurology, University of California, San Francisco, CA, USA
| | - Howard L. Weiner
- Department of Neurology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Reinhard Hohlfeld
- Institute of Clinical Neuroimmunology, Biomedical Center and University Hospitals, Ludwig-Maximilians-Universität München, and Munich Cluster of Systems Neurology (SyNergy), München, Germany
| | - Hartmut Wekerle
- Department Neuroimmunology, Max Planck Institute (MPI) of Neurobiology, Munich, Germany
| | - Jennifer Graves
- Department of Neurosciences, University of California, San Diego, CA, USA
| | - Amit Bar-Or
- Department of Neurology, University of Pennsylvania, Pennsylvania, PA, USA
| | - Bruce A.C. Cree
- Weill Institute for Neurosciences. Department of Neurology, University of California, San Francisco, CA, USA
| | - Jorge Correale
- Department of Neurology, Institute for Neurological Research Dr. Raul Carrea (FLENI), Buenos Aires, Argentina
| | - Rob Knight
- Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA, USA
| | - Sergio E. Baranzini
- Weill Institute for Neurosciences. Department of Neurology, University of California, San Francisco, CA, USA
| | | |
Collapse
|
7
|
Grottoli S, Bianchi A, Bogazzi F, Bona C, Carlsson MO, Colao A, Dassie F, Giampietro A, Gomez R, Granato S, Maffei P, Pivonello R, Prencipe N, Ragonese M, Urbani C, Cannavò S. Are there country-specific differences in the use of pegvisomant for acromegaly in clinical practice? An analysis from ACROSTUDY. J Endocrinol Invest 2022; 45:1535-1545. [PMID: 35359232 PMCID: PMC9270309 DOI: 10.1007/s40618-022-01789-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 03/16/2022] [Indexed: 10/31/2022]
Abstract
OBJECTIVE A comprehensive picture of pegvisomant use for treating acromegaly in routine clinical practice in different countries is lacking. We aimed, therefore, to document country-specific behaviors in real-life pegvisomant use, and the main safety and effectiveness outcomes in the ACROSTUDY. DESIGN ACROSTUDY is an open-label, non-interventional, post-marketing safety surveillance study. METHODS A descriptive analysis was performed using data from the six top-recruiter ACROSTUDY countries, i.e., Germany (n = 548 patients), Italy (n = 466), France (n = 312), USA (n = 207), Spain (n = 200) and the Netherlands (n = 175). These nations accounted for > 85% of the ACROSTUDY cases. RESULTS The mean pegvisomant dose at treatment start was lowest in the Netherlands (9.4 mg/day), whereas it ranged between 10.9 and 12.6 mg/day in the other countries. At year 5, the mean pegvisomant dose was around 15 mg/day in all countries, except France (18.1 mg/day). At starting pegvisomant, patients treated with monotherapy ranged between 15% in the Netherlands and 72% in Spain. Monotherapy remained lowest over time in the Netherlands. In all countries, the percentage of patients with normal IGF-1 increased steeply from < 20% at baseline to 43-58% at month 6 and 51-67% at year 1. After that, we observed minor changes in the rate of acromegaly control in all countries. The Netherlands peaked in disease control at year 2 (72%). The proportion of patients reporting changes in pituitary tumor size was generally low. Serious treatment-related adverse events were < 5% in all countries. CONCLUSIONS Our study provided a detailed summary of real-life use of pegvisomant in the six top-recruiter ACROSTUDY nations.
Collapse
Affiliation(s)
- S Grottoli
- Division of Endocrinology, Diabetology and Metabolism, Department of Medical Science, University of Turin, Corso Dogliotti 14, 10126, Turin, Italy.
| | - A Bianchi
- Pituitary Unit, Department of Endocrinology, Fondazione A Gemelli, IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
| | - F Bogazzi
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - C Bona
- Division of Endocrinology, Diabetology and Metabolism, Department of Medical Science, University of Turin, Corso Dogliotti 14, 10126, Turin, Italy
| | - M O Carlsson
- Global Medical Affairs, Pfizer Rare Disease, Brussels, Belgium
| | - A Colao
- Dipartimento di Medicina Clinica e Chirurgia, Sezione di Endocrinologia, Università Federico II di Napoli, 80131, Naples, Italy
| | - F Dassie
- Department of Medicine, Padua University Hospital, Padua, Italy
| | - A Giampietro
- Pituitary Unit, Department of Endocrinology, Fondazione A Gemelli, IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
| | - R Gomez
- Global Medical Affairs, Pfizer Rare Disease, Brussels, Belgium
| | - S Granato
- Medical Department, Pfizer Italia, Rome, Italy
| | - P Maffei
- Department of Medicine, Padua University Hospital, Padua, Italy
| | - R Pivonello
- Dipartimento di Medicina Clinica e Chirurgia, Sezione di Endocrinologia, Università Federico II di Napoli, 80131, Naples, Italy
| | - N Prencipe
- Division of Endocrinology, Diabetology and Metabolism, Department of Medical Science, University of Turin, Corso Dogliotti 14, 10126, Turin, Italy
| | - M Ragonese
- Unit of Endocrinology, Department of Human Pathology, University of Messina, Messina, Italy
| | - C Urbani
- Endocrinology II Unit, Department of Medicine, Azienda Ospedaliero Universitaria Pisana, Pisa, Italy
| | - S Cannavò
- Unit of Endocrinology, Department of Human Pathology, University of Messina, Messina, Italy
| |
Collapse
|
8
|
Ringer A, Smichowski AM, Gomez R, Virasoro BM, Martinez L, Bertiller E, Siegrist C, Abdala B, Chulibert S, Grossi DG, Rubin E, Kostianovsky A, Munoz SA, Gandino I. POS1334 OCULAR CICATRICIAL PEMPHIGOID: IS THERE AN ASSOCIATION WITH AUTOIMMUNE DISEASES? Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.1425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
BackgroundOcular Cicatricial Pemphigoid (OCP) is an infrequent, systemic cicatricial immune-mediated disease, belonging to the group of membranous-mucosal pemphigoids (MMP). Due to the possibility of coexistence of multiple autoimmune diseases (ADs), OCP could be associated with other diseases. In the literature, association of OCP and ADs is reported in 9-35% of patients, but most reports correspond to MMP.ObjectivesTo assess the prevalence of autoimmune diseases associated with OCP and to analyse clinical, laboratorial and treatment associations between these entities.MethodsA multicentre cross-sectional study of patients with a diagnosis (clinical and/or by biopsy) of OCP derived from ophthalmology was performed.The population was divided into two groups according to their association or not with other ADs. Clinical, laboratorial and treatment variables were described and compared between both groups. In addition, a multivariate descriptive logistic regression analysis was performed to identify variables that could suggest the association between OCP and ADs.ResultsA total of 88 patients were recruited, 66 (75%) females, with a mean age at diagnosis of 64.3 years (SD 11.9). The median follow-up time was 1 year. The diagnosis was done by biopsy in 86,8%. Ocular bilateral disease was present in 95,3% of patients. There was a median delay from symptoms onset to diagnosis of 2 years. A history of malignancy was reported in 13,6%. Extraocular involvement was evidenced in 11,5% (4% compromised skin and 9,1% other mucous membranes). Regarding the previous clinical findings, no statistically significance was found between the groups with and without ADs. Systemic treatment was depicted as follows: oral corticosteroids (60,2%) (p-value < 0.001), corticosteroids pulses (5,7%), dapsone (3,4%), methotrexate (79,5%), mycophenolate (15,9%), azathioprine (23,9%), rituximab (5,7%), immunoglobulin (1,1%); topical corticosteroids (96,6%) and ocular infiltration (2,3%). The group associated ADs included 24 patients (27.3%). Within them, the most prevalent diagnosis was Sjogren’s syndrome (13.6%), followed by Hashimoto´s thyroiditis (9,1%) and rheumatoid arthritis (3,4%). Most of the patients presented Foster stages 1 (45.3%) and 2 (29.3%) at diagnosis. In the ADs group, statistically significant associations were observed with ANA, SS-A and SS-B antibodies, rheumatoid factor, and hypergammaglobulinemia. In the descriptive multivariate logistic regression model, it was detected that hypergammaglobulinemia was associated with ADs and OCP, adjusted for age, sex, smoking, skin and mucosal involvement, and erythrocyte sedimentation rate (OR 8.7; 95% CI 1.6 to 46.8; p= 0.012), Table 1.Table 1.Multiple logistic regression analysis with OCP associated with ADs as dependent variable.ORCI95P valueGender0.20.04 - 1.10.07Age at diagnosis1.020.9 - 1.10.25Smoking0.50.1 - 1.70.26Skin and mucosa compromise1.20.2 - 8.20.83ESR0.980.95 - 1.020.58Hypergammaglobulinemia8.71.6 - 46.80.012ESR: Erythrocyte Sedimentation Rate. OR: Odd Ratio. CI95: confidence intervalConclusionDue to the autoimmune nature of OCP, it could coexist with other ADs. In this research, it was observed that more than a quarter of the population presented with such association and hypergammaglobulinemia could suggest it. A systematic search for this coexistence should be carried out to avoid sequelae or incomplete treatment in pathologies that are currently potentially treatable.References[1]Lamberts A et al. European guidelines on diagnosis and management of mucous membrane pemphigoid, initiated by the European Academy of Dermatology and Venereology – Part I. 2021;1750–64.[2]Schmidt E et al. European Guidelines on diagnosis and management of mucous membrane pemphigoid, initiated by the European Academy of Dermatology and Venereology – Part II. 2021;1926–48.[3]Narla S, Silverberg JI. Associations of pemphigus or pemphigoid with autoimmune disorders in US adult inpatients. J Am Acad Dermato. 2019;15-25.AcknowledgementsOn behalf of the Study Working Group of Rheumatological Ocular Diseases, Argentinian Society of Rheumatology.Disclosure of InterestsNone declared
Collapse
|
9
|
Holguín Arias LL, Sorrentino L, Brigante A, Yucra D, Hamaui A, Rivero M, Menendez MS, Soliz C, Menendez MDLP, Gomez R, Iudici M, Benitez A, Gamba J, Peon C, Dubinsky D. AB0736 ASSOCIATION BETWEEN ERYTHROCYTE DISTRIBUTION WIDTH AND SYSTEMIC SCLEROSIS-ASSOCIATED INTERSTITIAL LUNG DISEASE. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.4790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
BackgroundInterstitial lung disease (ILD) and pulmonary arterial hypertension (PAH) account for 60% of deaths related to scleroderma (SSc). The erythrocyte distribution width (RDW) has been used as a marker of poor prognosis in different pathologies. In SSc, RDW has been found to be elevated in PAH and has been proposed as a predictor of cardiorespiratory compromise.ObjectivesThe aim of this study is to evaluate the association between increased RDW and the presence of EPI in patients with SSc.MethodsThis is a multicenter, retrospective, cross-sectional study of patients diagnosed with SSc (ACR/EULAR 2013) from January 2011 to August 2021. Other concomitant autoimmune diseases, malignancy, active infections, iron-deficiency or pernicious anaemia and transfused patients were excluded. The diagnosis of PID was made by high-resolution computed tomography (HR-CT) and the extension evaluated by Goh criteria. A review of medical records was conducted, collecting clinical and demographic characteristics, interstitial pattern by HR-CT, assessed, acute phase reactants, capillaroscopy, functional respiratory tests (PFT) and echocardiographic resolution. Patients diagnosed with PAH by right heart catheterization were not excluded in this study but recorded.ResultsSeventy-five patients were included, with a mean age of 59.4 (SD 14.1 CI95% 56-6), from which 67 (89%) were women. A median of 8 years of disease evolution was observed RIC 8). Limited SS was observed in 50 (66%) and diffuse SS in 24 (32%). EPI was observed in 50 (66%) of which NSIP 25 (33%), NSIP-f 15 (20%) and UIP 10 (13%). The extension of the disease was limited in 25 (33%) and extensive in 19 (25%). Capillaroscopic findings were normal in 2 (3.4%), nonspecific in 1 (1.7%), early SD in 9 (15.3%), active SD in 22 (37.3%), and late SD in 25 (42.4%); in sixteen patients there was no capillaroscopy.We observed an increase in RDW in the EPI group with a statistically significant difference OR 6.06 CI95% 2-17 (p 0.001).The median RDW is higher in patients with ILD and PAH than in healthy people (p<0.0001).We found a low negative correlation between RDW / FVC r (63) -.25 p 0.042 and RDW / FEV1 r (63) .30 p 0.015.ConclusionIn the present study we have been able to evidence that there is a statistically significant relationship between the percentage of RDW and the presence of PID. When analysing the association between patients without pulmonary compromise, ILD and PAH and the percentage of RDW, we were able to find a statistically significant difference between the three groups. It is necessary to continue with studies with a larger number of patients to grant robustness to the results.References[1]Muangchan, et al: 15% rule in SSc. The Journal of Rheumatology 2013; 40; 9; doi:10.3899/jrheum.121380.[2]Cottin and Brown. Interstitial lung disease associated with systemic sclerosis (Ssc-ILD) Respiratory Research (2019) 20:13[3]Thayer, T. E. et al. Unbiased Phenome-wide Association Studies of Red Cell Distribution Width Identifies Key Associations with Pulmonary Hypertension. Annals of the American Thoracic Society. doi:10.1513/annalsats.201809-594oc.[4]Zhao J,Mo H, Guo X,Wang Q, Xu D, Hou Y, Tian Z, Liu Y,Wang H, Lai J, Li M, ZengX (2018) Red blood cell distribution width as a related factor of pulmonary arterial hypertension in patients with systemic sclerosis. Clin Rheumatol 37:979–985.[5]Goh NSL, Desai SR, Veeraraghavan S, et al. Interstitial Lung Disease in Systemic Sclerosis: A Simple Staging System. American Journal of Respiratory and Critical Care Medicine. 2008. June;177(11):1248–54.[6]Hax V, Bredemeier M, Didonet Moro AL, et al. Clinical algorithms for the diagnosis and prognosis of interstitial lung disease in systemic sclerosis. Seminars in Arthritis and Rheumatism. 2017. October;47(2):228–34.[7]Peralta S. Guías Argentinas De Consenso En Diagnóstico Y Tratamiento De La Hipertensión Pulmonar. Sociedad Argentina de Cardiología. Área de Consensos y Normas. Vol 85 Suplemento 3. Octubre 2017.AcknowledgementsParticipating centersDisclosure of InterestsNone declared
Collapse
|
10
|
Kaplan TB, Gopal A, Block VJ, Suskind AM, Zhao C, Polgar-Turcsanyi M, Saraceno TJ, Gomez R, Santaniello A, Consortium SUMMIT, Ayoubi NE, Cree BA, Hauser SL, Weiner H, Chitnis T, Khoury S, Bove R. Challenges to Longitudinal Characterization of Lower Urinary Tract Dysfunction in Multiple Sclerosis. Mult Scler Relat Disord 2022; 62:103793. [DOI: 10.1016/j.msard.2022.103793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 03/01/2022] [Accepted: 04/03/2022] [Indexed: 11/24/2022]
|
11
|
Knauer N, Pashkina E, Kozlov V, Gomez R, Caminade AM, Kahlert U, Apartsin E. 49P Antitumor effects of cationic dendritic molecules and their complexes with microRNA in glioblastoma stem-like cells. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.01.058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
|
12
|
Bischof A, Papinutto N, Keshavan A, Rajesh A, Kirkish G, Zhang X, Mallott JM, Asteggiano C, Sacco S, Gundel TJ, Zhao C, Stern WA, Caverzasi E, Zhou Y, Gomez R, Ragan NR, Santaniello A, Zhu AH, Juwono J, Bevan CJ, Bove RM, Crabtree E, Gelfand JM, Goodin DS, Graves JS, Green AJ, Oksenberg JR, Waubant E, Wilson MR, Zamvil SS, Cree BA, Hauser SL, Henry RG. Reply to "Spinal cord atrophy is a preclinical marker of progressive MS". Ann Neurol 2022; 91:735-736. [PMID: 35233827 PMCID: PMC9511767 DOI: 10.1002/ana.26340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 02/26/2022] [Accepted: 02/28/2022] [Indexed: 12/03/2022]
Affiliation(s)
- Antje Bischof
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA.,Department of Neurology with Institute for Translational Neurology, University Hospital Münster, Germany
| | - Nico Papinutto
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Anisha Keshavan
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Anand Rajesh
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Gina Kirkish
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Xinheng Zhang
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Jacob M Mallott
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Carlo Asteggiano
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Simone Sacco
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Tristan J Gundel
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Chao Zhao
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - William A Stern
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Eduardo Caverzasi
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Yifan Zhou
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Refujia Gomez
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Nicholas R Ragan
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Adam Santaniello
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Alyssa H Zhu
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Jeremy Juwono
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Carolyn J Bevan
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Riley M Bove
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Elizabeth Crabtree
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Jeffrey M Gelfand
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Douglas S Goodin
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Jennifer S Graves
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Ari J Green
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Jorge R Oksenberg
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Emmanuelle Waubant
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Michael R Wilson
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Scott S Zamvil
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | -
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Bruce A Cree
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Stephen L Hauser
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Roland G Henry
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| |
Collapse
|
13
|
Guzman I, Gomez R. Advantages of using the optic nerve ecography to predict clinical progression in multiple sclerosis. Neurología (English Edition) 2022; 37:73. [DOI: 10.1016/j.nrleng.2021.07.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2021] [Accepted: 07/07/2021] [Indexed: 10/19/2022] Open
|
14
|
Guzman I, Gomez R. Advantages of using the optic nerve ecography to predict clinical progression in multiple sclerosis. Neurologia 2022; 37:73. [PMID: 34531046 DOI: 10.1016/j.nrl.2021.07.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2021] [Revised: 07/06/2021] [Accepted: 07/07/2021] [Indexed: 11/19/2022] Open
Affiliation(s)
- I Guzman
- Professional School of Human Medicine, San Juan Bautista Private University, Av. Antonio Lavalle S/N, Chorrillos, Lima 15067, Perú.
| | - R Gomez
- Professional School of Human Medicine, San Juan Bautista Private University, Av. Antonio Lavalle S/N, Chorrillos, Lima 15067, Perú
| |
Collapse
|
15
|
Bischof A, Papinutto N, Keshavan A, Rajesh A, Kirkish G, Zhang X, Mallott JM, Asteggiano C, Sacco S, Gundel TJ, Zhao C, Stern WA, Caverzasi E, Zhou Y, Gomez R, Ragan NR, Santaniello A, Zhu AH, Juwono J, Bevan CJ, Bove RM, Crabtree E, Gelfand JM, Goodin DS, Graves JS, Green AJ, Oksenberg JR, Waubant E, Wilson MR, Zamvil SS, Cree BA, Hauser SL, Henry RG. Spinal cord atrophy predicts progressive disease in relapsing multiple sclerosis. Ann Neurol 2021; 91:268-281. [PMID: 34878197 PMCID: PMC8916838 DOI: 10.1002/ana.26281] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 12/04/2021] [Accepted: 12/06/2021] [Indexed: 11/06/2022]
Abstract
Objective A major challenge in multiple sclerosis (MS) research is the understanding of silent progression and Progressive MS. Using a novel method to accurately capture upper cervical cord area from legacy brain MRI scans we aimed to study the role of spinal cord and brain atrophy for silent progression and conversion to secondary progressive disease (SPMS). Methods From a single‐center observational study, all RRMS (n = 360) and SPMS (n = 47) patients and 80 matched controls were evaluated. RRMS patient subsets who converted to SPMS (n = 54) or silently progressed (n = 159), respectively, during the 12‐year observation period were compared to clinically matched RRMS patients remaining RRMS (n = 54) or stable (n = 147), respectively. From brain MRI, we assessed the value of brain and spinal cord measures to predict silent progression and SPMS conversion. Results Patients who developed SPMS showed faster cord atrophy rates (−2.19%/yr) at least 4 years before conversion compared to their RRMS matches (−0.88%/yr, p < 0.001). Spinal cord atrophy rates decelerated after conversion (−1.63%/yr, p = 0.010) towards those of SPMS patients from study entry (−1.04%). Each 1% faster spinal cord atrophy rate was associated with 69% (p < 0.0001) and 53% (p < 0.0001) shorter time to silent progression and SPMS conversion, respectively. Interpretation Silent progression and conversion to secondary progressive disease are predominantly related to cervical cord atrophy. This atrophy is often present from the earliest disease stages and predicts the speed of silent progression and conversion to Progressive MS. Diagnosis of SPMS is rather a late recognition of this neurodegenerative process than a distinct disease phase. ANN NEUROL 2022;91:268–281
Collapse
Affiliation(s)
- Antje Bischof
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Nico Papinutto
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Anisha Keshavan
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Anand Rajesh
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Gina Kirkish
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Xinheng Zhang
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Jacob M Mallott
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Carlo Asteggiano
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Simone Sacco
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Tristan J Gundel
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Chao Zhao
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - William A Stern
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Eduardo Caverzasi
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Yifan Zhou
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Refujia Gomez
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Nicholas R Ragan
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Adam Santaniello
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Alyssa H Zhu
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Jeremy Juwono
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Carolyn J Bevan
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Riley M Bove
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Elizabeth Crabtree
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Jeffrey M Gelfand
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Douglas S Goodin
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Jennifer S Graves
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Ari J Green
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Jorge R Oksenberg
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Emmanuelle Waubant
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Michael R Wilson
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Scott S Zamvil
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | -
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Bruce A Cree
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Stephen L Hauser
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| | - Roland G Henry
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, 675, Nelson Rising Lane, 94158, San Francisco, California, USA
| |
Collapse
|
16
|
Gomez R, Hafezi N, Amrani M, Schweiger S, Dewenter MK, Thomas P, Lieb C, Hasenburg A, Skala C. Genetic findings in miscarriages and their relation to the number of previous miscarriages. Arch Gynecol Obstet 2021; 303:1425-1432. [PMID: 33211176 PMCID: PMC8087554 DOI: 10.1007/s00404-020-05859-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Accepted: 10/26/2020] [Indexed: 11/28/2022]
Abstract
PURPOSE Early pregnancy loss leads to a devastating situation for many couples. Genetic disorders found in the pregnancy tissue are a frequent cause of miscarriages. It is unclear whether maternal age or previous miscarriages are associated with a higher chromosomal anomaly rate. This study aimed to determine the cytogenetical distribution of chromosomal disorders in couples after one or more previous miscarriages as well as the influence of maternal age. METHODS 406 fetal tissue samples obtained after spontaneous abortion between 2010 and 2014 were successfully karyotyped. This included 132 couples with at least two losses and 274 couples with sporadic miscarriage. Normal and abnormal karyotype rate was determined for age, parity, gravidity, gestational week and number of previous miscarriages by logistic regression analysis. RESULTS 145 (35.71%) fetal tissue samples had a normal karyotype, and 261 (64.8%) did not. After adjusting for age, older patients have a statistically significantly higher probability of genetic disorders in the pregnancy tissue (p < 0.001, OR 1.064, 95% CI 1.03-1.11). With each additional year, the probability of finding chromosomal abnormalities in a miscarriage increased by 6.4%. Patients younger than 35 years have a lower probability of having chromosomal disorders in the aborted material after two or more miscarriages than after sporadic miscarriages (50.7 vs. 58.9%) (p = 0.014, OR 0.67, 95% CI 0.48-0.914). Nevertheless, the risk of embryonic chromosomal disorders in patients aged 35 and above increased from 75.5% in sporadic miscarriages to 82.4% after more than one pregnancy losses (p = 0.59, OR 1.14, 95% CI - 0.72 to 1.92). CONCLUSION Chromosomal disorders found after one or more previous miscarriages are related to patients' age. Couples suffering two or more miscarriages should be further researched, especially in younger patients.
Collapse
Affiliation(s)
- R Gomez
- Klinik und Poliklinik für Geburtshilfe und Frauengesundheit, Universitätsmedizin der Johannes Gutenberg Universität Mainz, Mainz, Germany.
- Kinderwunschzentrum der Universitätsmedizin der Johannes Gutenberg Universität Mainz, Langenbeckstr. 1, 55131, Mainz, Germany.
| | - N Hafezi
- Klinik und Poliklinik für Geburtshilfe und Frauengesundheit, Universitätsmedizin der Johannes Gutenberg Universität Mainz, Mainz, Germany
| | - M Amrani
- Vivaneo Kinderwunschzentrum Wiesbaden, Wiesbaden, Germany
| | - S Schweiger
- Institut für Humangenetik, Universitätsmedizin der Johannes Gutenberg Universität Mainz, Mainz, Germany
| | - M K Dewenter
- Institut für Humangenetik, Universitätsmedizin der Johannes Gutenberg Universität Mainz, Mainz, Germany
| | - P Thomas
- Institut für Humangenetik, Universitätsmedizin der Johannes Gutenberg Universität Mainz, Mainz, Germany
| | - C Lieb
- IMBEI Institut für medizinische Epidemiologie, Johannes Gutenberg Universität Mainz, Mainz, Germany
| | - A Hasenburg
- Klinik und Poliklinik für Geburtshilfe und Frauengesundheit, Universitätsmedizin der Johannes Gutenberg Universität Mainz, Mainz, Germany
| | - C Skala
- Klinik und Poliklinik für Geburtshilfe und Frauengesundheit, Universitätsmedizin der Johannes Gutenberg Universität Mainz, Mainz, Germany
- Kinderwunschzentrum der Universitätsmedizin der Johannes Gutenberg Universität Mainz, Langenbeckstr. 1, 55131, Mainz, Germany
| |
Collapse
|
17
|
Maliandi MDR, Malvano YS, Cusa A, Gamba MJ, Gomez R, Got J, Gut O, Paris UV, Spinetto MA, Mariach C, Abalo AI, Estevez A, Velazco Zamora JL, Vinicki JP. POS0667 TOFACITINIB IN PATIENTS WITH RHEUMATOID ARTHRITIS IN REAL-WORLD SETTINGS: A NATIONAL MULTICENTER STUDY OF 167 PATIENTS FROM ARGENTINA. Ann Rheum Dis 2021. [DOI: 10.1136/annrheumdis-2021-eular.1645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Background:Tofacitinib (TOF), an oral JAK inhibitor, is approved for the treatment of rheumatoid arthritis (RA) either as monotherapy or in combination with background methotrexate (MTX). Despite the current evidence of efficacy from randomized controlled trials and open-label long-term extension studies, evidence of effectiveness and safety in real-world settings is limited, not only in Argentina but also in Latin America.Objectives:To describe effectiveness, safety and persistence of TOF therapy in RA patients from public and private medical centers from Argentina. In addition, establish prognostic factors for clinical remission at 3 months and TOF monotherapy at 12 months.Methods:A retrospective, observational and multicentre study was performed from an analysis of medical records of 10 medical centers. RA patients (ACR/EULAR, 2010) and age ≥ 18 years who had received or are under treatment with TOF until June 2020 were included. The data collection was done on a standard database that included baseline data and at 3, 6 and 12 months. Clinical remission was defined as DAS28-ESR < 2,6. Adverse events, treatment duration, TOF treatment persistence at last visit and discontinuation cause were assessed. Comparison to baseline values was performed using Wilcoxon sign for numerical variables and McNemar´s test for categorical variables. Treatment persistence was analyzed using Kaplan Meier´s technique. Multivariate analysis was performed using R software and its library packages (Lme4, Tidyverse and ggpubr). A p value < 0.05 was considered significant.Results:A total of 167 patients were included (78.4% were female). At baseline, the median age was 53 years (IQR 43-63 years), median disease duration was 4 years (IQR 2-13 years). RF was positive in 85.6% of patients, ACPA in 80.8% and structural radiological damage was present in 71.8%. Previous use of MTX was 97%, leflunomide 74.8% and biologic therapy 42.5% (28.74% 1 biologic, 11.98% 2 biologics and 1.8% ≥ 3 biologics). TOF dose: 48% 11 mg/day and 52% 5 mg BID. A statistically significant difference was observed not only in disease activity (p<0.0001) but also in the requirement of MTX and PDN (p<0.0001) in the 12 months evaluated. Remission significantly increased from baseline to month 3 and to a much lesser extent to month 6 (p < 0.001). The mean duration of treatment with TOF was 20.10 ± 15.25 months. Treatment persistence was 93.84% at 3 months and 91.24% at 6 months. In those patient who achieved REM at month 3, a statistically significant differences in duration of RA (p 0.0002), structural radiological damage (p 0.011), basal disease activity (p 0.018) and prior treatment with biological therapy (p 0.017) was found when compared with patients who remained active. Furthermore, in univariate logistic regression analysis, 5 years or more of disease duration was associated with a 3 times higher risk of not achieving clinical remission at 3 months (odds ratio = 0.35, 95% CI = 0.15-0.83). In the multivariate logistic regression analysis, previous biological therapy was the only predictor associated with a decrease in the probability of clinical remission (p < 0.008). Adverse events were registered in 26 patients (herpes zoster, n = 9).Conclusion:The effectiveness of TOF was observed not only in the clinical response achieved but also in the dose titration or withdrawal of MTX and PDN. The safety profile did not show any difference from long-term extension studies. At 12 months, 86.81% of the patients persisted with TOF therapy. We found prognostic factors associated with clinical remission at 3 months but those associated with monotherapy at 12 months could not be defined due to small number of patients analyzed that could have generated lack of statistical power, although more studies are required to confirm these assumptions.Disclosure of Interests:Maria Del Rosario Maliandi: None declared, Yanina Silvia Malvano: None declared, Alejandra Cusa: None declared, María Julieta Gamba: None declared, Ramiro Gomez Speakers bureau: Abbvie, Novartis, Julio Got: None declared, Oscar Gut: None declared, Ursula Vanesa Paris: None declared, Maria Andrea Spinetto: None declared, Carolina Mariach: None declared, Alejandra Ines Abalo: None declared, Adrián Estevez Speakers bureau: Bristol-Meyer-Squibb, Jose Luis Velazco Zamora: None declared, Juan Pablo Vinicki: None declared
Collapse
|
18
|
Benegas M, Orozco C, Giorgis P, Schneeberger EE, Bande JM, Medina MA, Iraheta I, Airoldi C, Girard Bosch P, Scarafia S, Velozo E, Rillo O, Guinsburg M, Cowan MP, Piovesan M, Martire V, Casalla L, Cosentino V, Gonzalez P, Peon C, Gomez R, Benitez A, Gamba MJ. POS1005 ASSESSMENT OF DAREA AND MODIFIED DAREA IN AN ARGENTINIAN-GUATEMALAN REACTIVE ARTHRITIS COHORT. Ann Rheum Dis 2021. [DOI: 10.1136/annrheumdis-2021-eular.3374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Background:Reactive Arthritis (ReA) is an inflammatory joint disease and, as in rheumatoid or psoriatic arthritis, composite indices are the most useful tools to measure disease activity. The Disease Activity Index for Reactive Arthritis (DAREA) is the only developed index for ReA, which requires a 66/68 joint count and CRP for its assessment, the latter being difficult to acquire in our setting. Therefore, we developed a simplified index, the modified DAREA (DAREAm), with a lower joint count and ESR for its evaluation.Objectives:1) To evaluate the DAREA and the DAREAm in a cohort of patients with diagnosis of ReA and post-infectious arthritis 2) To assess the correlation of the DAREA and DAREAm with several clinical variables, functional capacity and quality of life in a cohort of patients with ReA.Methods:Patients with diagnosis of ReA (Calin’79) and post-infectious arthritis were included. Demographic data were collected, patient´s pain and global assessment were evaluated through a visual analog scale (VAS) and a 3-point scale (no pain = 0, mild = 1, moderate = 2, severe = 3), physician´s global assessment, morning stiffness (MS) and VAS fatigue. Functional capacity was assessed by HAQ and quality of life according to EuroQol-5 dimensions (EQ-5D), and the activity indices DAS28, DAREA and DAREAm were calculated. Statistical analysis: a descriptive analysis of the variables and correlation between numerical variables with Spearman rank correlation were performed.Results:57 patients were included, 53 with diagnosis of ReA, the majority post urogenital (63%) and gastrointestinal (17%), and 4 with diagnosis of post-infectious arthritis. Fifty six percent were male, mean age: 40 years old (SD ± 14) and median ReA duration: 15 months (IQR 2-45). The number of painful and swollen joints in a 66/68 joint count showed a median of 2 (IQR 0-3) and 1 (IQR 1-2) respectively. Median VAS pain 43 (IQR 15-70), patient´s disease activity 40 (IQR 20-60) and physician´s 40 (IQR 20-60), MS 10 (IQR 0-50) and fatigue 30 (IQR 0-80). Median DAS28 3.6 (IQR 2.3-4.3), DAREA 7.4 (IQR 2.5-10.6), DAREAm 8.6 (IQR 4.6-12.7), HAQ 0.625 (IQR 0.125-1). The dimensions with the greatest compromise in the EQ-5D were pain/discomfort (63%) and anxiety/depression (51%), and the median VAS EQ-5D was 60 (IQR 32-80). DAREA correlated with DAREAm (rs= 0.89; p <0.001), DAS28 (rs= 0.84; p <0.001), medical VAS (rs= 0.60; p <0.001), MS (rs= 0, 50; p <0.001), HAQ (rs= 0.53; p <0.001), VAS fatigue (rs= 0.57; p <0.001) and mobility subscales of the EQ5D (rs= 0.56; p <0.001), pain/discomfort (rs= 0.49; p <0.001) and anxiety/depression (rs= 0.61; p <0.001). The DAREAm correlated with DAS28 (rs= 0.93; p <0.001), physician VAS (rs= 0.58; p <0.001), fatigue VAS (rs= 0.53; p <0.001), HAQ (rs= 0 .51; p <0.001) and the EQ5D subscales: mobility (rs= 0.64; p <0.001), pain/discomfort (rs= 0.56; p <0.001) and anxiety/depression (rs= 0.66; p <0.001)Conclusion:This is the first study that assess activity indices in a cohort of patients with ReA. The DAREAm demonstrated a very good correlation with both DAREA and DAS28. We encourage the use of this simplified index in daily practice to evaluate patients with ReA.Disclosure of Interests:None declared.
Collapse
|
19
|
COX J, Boily M, Caron A, Chong O, Ding J, Dumais V, Gaudreault S, Gomez R, Guthrie J, King A, Oballa R, Sheng T, Surendradoss J, Wu J, Powell D. POS-442 DISCOVERY OF CHK-336: A FIRST-IN-CLASS, LIVER-TARGETED, SMALL MOLECULE INHIBITOR OF LACTATE DEHYDROGENASE FOR THE TREATMENT OF PRIMARY HYPEROXALURIA. Kidney Int Rep 2021. [DOI: 10.1016/j.ekir.2021.03.467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
|
20
|
Romeo AR, Rowles WM, Schleimer ES, Barba P, Hsu WY, Gomez R, Santaniello A, Zhao C, Pearce JR, Jones JB, Cree BC, Hauser SL, Gelfand JM, Stewart WF, Goodin DS, Bove RM. An electronic, unsupervised patient-reported Expanded Disability Status Scale for multiple sclerosis. Mult Scler 2020; 27:1432-1441. [PMID: 33236967 DOI: 10.1177/1352458520968814] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND In persons with multiple sclerosis (MS), the Expanded Disability Status Scale (EDSS) is the criterion standard for assessing disability, but its in-person nature constrains patient participation in research and clinical assessments. OBJECTIVE The aim of this study was to develop and validate a scalable, electronic, unsupervised patient-reported EDSS (ePR-EDSS) that would capture MS-related disability across the spectrum of severity. METHODS We enrolled 136 adult MS patients, split into a preliminary testing Cohort 1 (n = 50), and a validation Cohort 2 (n = 86), which was evenly distributed across EDSS groups. Each patient completed an ePR-EDSS either immediately before or after a MS clinician's Neurostatus EDSS evaluation. RESULTS In Cohort 2, mean age was 50.6 years (range = 26-80) and median EDSS was 3.5 (interquartile range (IQR) = [1.5, 5.5]). The ePR-EDSS and EDSS agreed within 1-point for 86% of examinations; kappa for agreement within 1-point was 0.85 (p < 0.001). The correlation coefficient between the two measures was 0.91 (<0.001). DISCUSSION The ePR-EDSS was highly correlated with EDSS, with good agreement even at lower EDSS levels. For clinical care, the ePR-EDSS could enable the longitudinal monitoring of a patient's disability. For research, it provides a valid and rapid measure across the entire spectrum of disability and permits broader participation with fewer in-person assessments.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | | | | | - J B Jones
- Sutter Health, Palo Alto Medical Foundation Research Institute, Walnut Creek, CA, USA
| | | | | | | | | | - Douglas S Goodin
- UCSF MS and Neuroinflammation Center, Weill Institute for Neurosciences, Department of Neurology, Division of Neuroinflammation and Glial Biology, University of California San Francisco, San Francisco, CA, USA
| | - Riley M Bove
- UCSF MS and Neuroinflammation Center, Weill Institute for Neurosciences, Department of Neurology, Division of Neuroinflammation and Glial Biology, University of California San Francisco, San Francisco, CA, USA
| |
Collapse
|
21
|
Schleimer E, Pearce J, Barnecut A, Rowles W, Lizee A, Klein A, Block VJ, Santaniello A, Renschen A, Gomez R, Keshavan A, Gelfand JM, Henry RG, Hauser SL, Bove R. A Precision Medicine Tool for Patients With Multiple Sclerosis (the Open MS BioScreen): Human-Centered Design and Development. J Med Internet Res 2020; 22:e15605. [PMID: 32628124 PMCID: PMC7381029 DOI: 10.2196/15605] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Revised: 12/16/2019] [Accepted: 02/04/2020] [Indexed: 01/11/2023] Open
Abstract
Background Patients with multiple sclerosis (MS) face several challenges in accessing clinical tools to help them monitor, understand, and make meaningful decisions about their disease course. The University of California San Francisco MS BioScreen is a web-based precision medicine tool initially designed to be clinician facing. We aimed to design a second, openly available tool, Open MS BioScreen, that would be accessible, understandable, and actionable by people with MS. Objective This study aimed to describe the human-centered design and development approach (inspiration, ideation, and implementation) for creating the Open MS BioScreen platform. Methods We planned an iterative and cyclical development process that included stakeholder engagement and iterative feedback from users. Stakeholders included patients with MS along with their caregivers and family members, MS experts, generalist clinicians, industry representatives, and advocacy experts. Users consisted of anyone who wants to track MS measurements over time and access openly available tools for people with MS. Phase I (inspiration) consisted of empathizing with users and defining the problem. We sought to understand the main challenges faced by patients and clinicians and what they would want to see in a web-based app. In phase II (ideation), our multidisciplinary team discussed approaches to capture, display, and make sense of user data. Then, we prototyped a series of mock-ups to solicit feedback from clinicians and people with MS. In phase III (implementation), we incorporated all concepts to test and iterate a minimally viable product. We then gathered feedback through an agile development process. The design and development were cyclical—many times throughout the process, we went back to the drawing board. Results This human-centered approach generated an openly available, web-based app through which patients with MS, their clinicians, and their caregivers can access the site and create an account. Users can enter information about their MS (basic level as well as more advanced concepts), visualize their data longitudinally, access a series of algorithms designed to empower them to make decisions about their treatments, and enter data from wearable devices to encourage realistic goal setting about their ambulatory activity. Agile development will allow us to continue to incorporate precision medicine tools, as these are validated in the clinical research arena. Conclusions After engaging intended users into the iterative human-centered design of the Open MS BioScreen, we will now monitor the adaptation and dissemination of the tool as we expand its functionality and reach. The insights generated from this approach can be applied to the development of a number of self-tracking, self-management, and user engagement tools for patients with chronic conditions.
Collapse
Affiliation(s)
- Erica Schleimer
- Department of Neurology, UCSF Weill Institute for Neurosciences, San Francisco, CA, United States
| | | | - Andrew Barnecut
- Department of Neurology, UCSF Weill Institute for Neurosciences, San Francisco, CA, United States
| | - William Rowles
- Department of Neurology, UCSF Weill Institute for Neurosciences, San Francisco, CA, United States
| | - Antoine Lizee
- Department of Neurology, UCSF Weill Institute for Neurosciences, San Francisco, CA, United States
| | - Arno Klein
- Child Mind Institute, New York, NY, United States
| | - Valerie J Block
- Department of Neurology, UCSF Weill Institute for Neurosciences, San Francisco, CA, United States
| | - Adam Santaniello
- Department of Neurology, UCSF Weill Institute for Neurosciences, San Francisco, CA, United States
| | - Adam Renschen
- Department of Neurology, UCSF Weill Institute for Neurosciences, San Francisco, CA, United States
| | - Refujia Gomez
- Department of Neurology, UCSF Weill Institute for Neurosciences, San Francisco, CA, United States
| | - Anisha Keshavan
- Department of Neurology, UCSF Weill Institute for Neurosciences, San Francisco, CA, United States
| | - Jeffrey M Gelfand
- Department of Neurology, UCSF Weill Institute for Neurosciences, San Francisco, CA, United States
| | - Roland G Henry
- Department of Neurology, UCSF Weill Institute for Neurosciences, San Francisco, CA, United States
| | - Stephen L Hauser
- Department of Neurology, UCSF Weill Institute for Neurosciences, San Francisco, CA, United States
| | - Riley Bove
- Department of Neurology, UCSF Weill Institute for Neurosciences, San Francisco, CA, United States
| |
Collapse
|
22
|
Jesser E, Yeguerman C, Stefanazzi N, Gomez R, Murray AP, Ferrero AA, Werdin-González JO. Ecofriendly Approach for the Control of a Common Insect Pest in the Food Industry, Combining Polymeric Nanoparticles and Post-application Temperatures. J Agric Food Chem 2020; 68:5951-5958. [PMID: 32356980 DOI: 10.1021/acs.jafc.9b06604] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
One of the most common insect pests is Plodia interpunctella (Hübner) (Lepidoptera: Pyralidae), which affects different food commodities. A new effective approach for the management of insect pests is the development of new formulations based on essential oils (EO). However, few works informed about the relationship between insecticidal activity of EO or essential oils loaded polymeric nanoparticles (EOPN) and post-application temperature. In our work, palmarosa [Cymbopogon martinii (Roxb.) Watson], geranium (Geranium maculatum L.), and peppermint (Mentha piperita L.) oils were formulated in a polyethylene glycol 6000 matrix to obtain EOPN. Geranium and palmarosa EOPN had sizes of 259 and 191 nm, respectively; the encapsulation efficiency (EE) was close to 90%, and the samples were monodisperse. The sizes from peppermint EOPN were around 380 nm, with an EE of 72%, and were polidisperse. In a contact toxicity bioassay, the insecticidal effect of the oils was increased by all EOPN, with palmarosa oil being the most toxic. In addition, the oils and their nanoparticles showed a significantly negative temperature coefficient when applied by contact. In a fumigant bioassay, just palmarosa and peppermint EOPN enhanced the oil activity and palmarosa EO and EOPN showed the highest toxic effect. In this case, the EO and EOPN insecticidal activity was unaffected by environmental temperature variation.
Collapse
Affiliation(s)
- E Jesser
- Instituto de Ciencias Biológicas y Biomédicas del Sur (INBIOSUR), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad Nacional del Sur, San Juan 670, Bahía Blanca, Buenos Aires B8000CPB, Argentina
- Laboratorio de Zoología de Invertebrados II, Departamento de Biología, Bioquímica y Farmacia, Universidad Nacional del Sur, San Juan 670, Bahía Blanca, Buenos Aires B8000CPB, Argentina
| | - C Yeguerman
- Laboratorio de Zoología de Invertebrados II, Departamento de Biología, Bioquímica y Farmacia, Universidad Nacional del Sur, San Juan 670, Bahía Blanca, Buenos Aires B8000CPB, Argentina
| | - N Stefanazzi
- Instituto de Ciencias Biológicas y Biomédicas del Sur (INBIOSUR), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad Nacional del Sur, San Juan 670, Bahía Blanca, Buenos Aires B8000CPB, Argentina
- Laboratorio de Zoología de Invertebrados II, Departamento de Biología, Bioquímica y Farmacia, Universidad Nacional del Sur, San Juan 670, Bahía Blanca, Buenos Aires B8000CPB, Argentina
| | - R Gomez
- Laboratorio de Zoología de Invertebrados II, Departamento de Biología, Bioquímica y Farmacia, Universidad Nacional del Sur, San Juan 670, Bahía Blanca, Buenos Aires B8000CPB, Argentina
| | - A P Murray
- Instituto de Química del Sur (INQUISUR), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad Nacional del Sur, Avenida Alem 1253, Bahía Blanca, Buenos Aires B8000CPB, Argentina
| | - A A Ferrero
- Instituto de Ciencias Biológicas y Biomédicas del Sur (INBIOSUR), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad Nacional del Sur, San Juan 670, Bahía Blanca, Buenos Aires B8000CPB, Argentina
- Laboratorio de Zoología de Invertebrados II, Departamento de Biología, Bioquímica y Farmacia, Universidad Nacional del Sur, San Juan 670, Bahía Blanca, Buenos Aires B8000CPB, Argentina
| | - J O Werdin-González
- Laboratorio de Zoología de Invertebrados II, Departamento de Biología, Bioquímica y Farmacia, Universidad Nacional del Sur, San Juan 670, Bahía Blanca, Buenos Aires B8000CPB, Argentina
- Instituto de Química del Sur (INQUISUR), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad Nacional del Sur, Avenida Alem 1253, Bahía Blanca, Buenos Aires B8000CPB, Argentina
| |
Collapse
|
23
|
Gomez R, Sussman A, Kano M, Boyce T, Chen L, Gundelach A, Dayao Z, Pestak C, Rutledge T. Developing a Survivorship Care Transition Model for Rural and Underserved Low Risk Breast and Gynecologic Cancer Patients. Gynecol Oncol 2020. [DOI: 10.1016/j.ygyno.2019.11.121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
|
24
|
Velandia-Martínez A, Ortega-Sanchez MA, Martínez-Perez SO, Peña I, Pradilla O, Gomez R, Martínez-Perez A. Parry-Romberg Syndrome and Temporal Lobe Refractory Epilepsy: Case Report. J Epilepsy Res 2019; 9:157-160. [PMID: 32509553 PMCID: PMC7251345 DOI: 10.14581/jer.19020] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2018] [Revised: 01/13/2020] [Accepted: 01/24/2020] [Indexed: 11/05/2022] Open
Abstract
The Parry-Romberg syndrome (PRS), also known as hemifacial atrophy, is a rare neurocutaneous disease with the prevalence of 1/700,000 cases. It is more common in women than men, with an early onset of disease usually within the first two decades of life. Even though the etiology of PRS is unknown, it is thought to be a multifactorial disease that involves hereditary, posttraumatic, autoimmune, infectious, and neoplastic factors. There are a variety of systemic manifestations described in PRS including neurological conditions that range from intractable headache to refractory epilepsy. The manifestations must be identified in a timely manner to ensure an early therapeutic intervention, considering that an appropriate approach during the initial phase might halt the disease progression and markedly improve the quality of life in these patients. This article is aimed to describe the case of a 23 years old female with left hemifacial atrophy and dermatologic, dental, and neurologic compromise, associated with refractory temporal lobe epilepsy evidenced in neuroimaging and electrodiagnostic testings.
Collapse
Affiliation(s)
- A Velandia-Martínez
- Department of Neurology, Carlos Ardila Lulle Medical Center, Santander, Colombia
| | - M A Ortega-Sanchez
- Department of Neurology, Carlos Ardila Lulle Medical Center, Santander, Colombia
| | - S O Martínez-Perez
- Department of Dermatology, Carlos Ardila Lulle Medical Center, Santander, Colombia
| | - I Peña
- Department of Neurology, Carlos Ardila Lulle Medical Center, Santander, Colombia
| | - O Pradilla
- Department of Neurosurgery, Carlos Ardila Lulle Medical Center, Santander, Colombia
| | - R Gomez
- Department of Neurosurgery, Carlos Ardila Lulle Medical Center, Santander, Colombia
| | - A Martínez-Perez
- Department of Neurosurgery, Carlos Ardila Lulle Medical Center, Santander, Colombia.,Department of Radiology, Carlos Ardila Lulle Medical Center, Santander, Colombia
| |
Collapse
|
25
|
Krysko KM, Henry RG, Cree BAC, Lin J, Caillier S, Santaniello A, Zhao C, Gomez R, Bevan C, Smith DL, Stern W, Kirkish G, Hauser SL, Oksenberg JR, Graves JS. Telomere Length Is Associated with Disability Progression in Multiple Sclerosis. Ann Neurol 2019; 86:671-682. [PMID: 31486104 DOI: 10.1002/ana.25592] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2019] [Revised: 08/23/2019] [Accepted: 09/01/2019] [Indexed: 12/13/2022]
Abstract
OBJECTIVE To assess whether biological aging as measured by leukocyte telomere length (LTL) is associated with clinical disability and brain volume loss in multiple sclerosis (MS). METHODS Adults with MS/clinically isolated syndrome in the University of California, San Francisco EPIC cohort study were included. LTL was measured on DNA samples by quantitative polymerase chain reaction and expressed as telomere to somatic DNA (T/S) ratio. Expanded Disability Status Scale (EDSS) and 3-dimensional T1-weighted brain magnetic resonance imaging were performed at baseline and follow-up. Associations of baseline LTL with cross-sectional and longitudinal outcomes were assessed using simple and mixed effects linear regression models. A subset (n = 46) had LTL measured over time, and we assessed the association of LTL change with EDSS change with mixed effects models. RESULTS Included were 356 women and 160 men (mean age = 43 years, median disease duration = 6 years, median EDSS = 1.5 [range = 0-7], mean T/S ratio = 0.97 [standard deviation = 0.18]). In baseline analyses adjusted for age, disease duration, and sex, for every 0.2 lower LTL, EDSS was 0.27 higher (95% confidence interval [CI] = 0.13-0.42, p < 0.001) and brain volume was 7.4mm3 lower (95% CI = 0.10-14.7, p = 0.047). In longitudinal adjusted analyses, those with lower baseline LTL had higher EDSS and lower brain volumes over time. In adjusted analysis of the subset, LTL change was associated with EDSS change over 10 years; for every 0.2 LTL decrease, EDSS was 0.34 higher (95% CI = 0.08-0.61, p = 0.012). INTERPRETATION Shorter telomere length was associated with disability independent of chronological age, suggesting that biological aging may contribute to neurological injury in MS. Targeting aging-related mechanisms is a potential therapeutic strategy against MS progression. ANN NEUROL 2019;86:671-682.
Collapse
Affiliation(s)
- Kristen M Krysko
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Roland G Henry
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Bruce A C Cree
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Jue Lin
- Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA
| | -
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Stacy Caillier
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Adam Santaniello
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Chao Zhao
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Refujia Gomez
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Carolyn Bevan
- Department of Neurology, Northwestern University, Evanston, IL
| | - Dana L Smith
- Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA
| | - William Stern
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Gina Kirkish
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Stephen L Hauser
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Jorge R Oksenberg
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Jennifer S Graves
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA.,Department of Neurosciences, University of California, San Diego, San Diego, CA
| |
Collapse
|
26
|
Nuñez M, Folgar A, Diez L, Gomez R, Mur E, Sole J. P2.17-31 Central Lung Tumors Treated with Stereotactic Radiotherapy. Toxicity and Early Results in a Single Institution. J Thorac Oncol 2019. [DOI: 10.1016/j.jtho.2019.08.1942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
|
27
|
Spies-Upton S, Gade S, Gonzalez J, Choi E, Becker C, Creekpaum M, Lucas E, Escher C, Gomez R. A-23 Mental Illness and Emotional Functioning as Moderated by Executive Functioning: Incarcerated Population. Arch Clin Neuropsychol 2019. [DOI: 10.1093/arclin/acz034.23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Objective
The purpose of this study is to investigate whether executive functioning will moderate the relationship of a history of mental illness on aggression in a male forensic population.
Method
Using an archival database from a larger study, 232 male inmates (ages 21 and 49 years old) from three medium/maximum Maryland Correctional facilities were recruited using a pseudo-random selection process during intake. Participants were administered three EF tasks (Cambridge Decision Making Task, Logan Stop-Signal Task, and Stroop Interference Task), history of mental illness was obtained using the Symptom Checklist-90, and aggression was assessed with the Novaco Reaction to Provocation Questionnaire.
Results
Hierarchical multiple regressions were conducted. For overall aggression reactivity, inhibition moderated depression (IR2 = .025, F(3, 224) = 9.977, p < .001, β = -.246, p = .015) and psychoticism (IR2 = .019, F(3, 224) = 8.216, p < .001, β = -.136, p = .031). For reactive aggression subtype, inhibition moderated depression (IR2 = .025, F(3, 224) = 2.679, p = .048, β = .071, p = .017). For proactive aggression subtype, cognitive flexibility moderated anxiety (IR2 = .018, F(3, 224) = 4.731, p = .003, β = -.014, p = .039); and depression (IR2 = .022, F(3, 224) = 3.888, p = .010, β = -.017, p = .025).
Conclusions
Overall, there was mixed findings for inhibition. On Cambridge Decision Making task, inhibition moderated the predictive relationship of depression on reactive aggression and psychoticism and overall aggression but not for other measures of inhibition. For another inhibition task (Stroop), inhibition did not significantly moderate any mental illness on severity of aggression. Cognitive flexibility moderated the predictive relationships of anxiety and depression on proactive aggression. Findings suggest targeting cognitive flexibility for inmates diagnosed with anxiety depression, and psychosis when treating aggression in a male forensic population.
Collapse
|
28
|
Cree BAC, Hollenbach JA, Bove R, Kirkish G, Sacco S, Caverzasi E, Bischof A, Gundel T, Zhu AH, Papinutto N, Stern WA, Bevan C, Romeo A, Goodin DS, Gelfand JM, Graves J, Green AJ, Wilson MR, Zamvil SS, Zhao C, Gomez R, Ragan NR, Rush GQ, Barba P, Santaniello A, Baranzini SE, Oksenberg JR, Henry RG, Hauser SL. Silent progression in disease activity-free relapsing multiple sclerosis. Ann Neurol 2019; 85:653-666. [PMID: 30851128 PMCID: PMC6518998 DOI: 10.1002/ana.25463] [Citation(s) in RCA: 241] [Impact Index Per Article: 48.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2018] [Revised: 03/05/2019] [Accepted: 03/06/2019] [Indexed: 12/17/2022]
Abstract
Objective Rates of worsening and evolution to secondary progressive multiple sclerosis (MS) may be substantially lower in actively treated patients compared to natural history studies from the pretreatment era. Nonetheless, in our recently reported prospective cohort, more than half of patients with relapsing MS accumulated significant new disability by the 10th year of follow‐up. Notably, “no evidence of disease activity” at 2 years did not predict long‐term stability. Here, we determined to what extent clinical relapses and radiographic evidence of disease activity contribute to long‐term disability accumulation. Methods Disability progression was defined as an increase in Expanded Disability Status Scale (EDSS) of 1.5, 1.0, or 0.5 (or greater) from baseline EDSS = 0, 1.0–5.0, and 5.5 or higher, respectively, assessed from baseline to year 5 (±1 year) and sustained to year 10 (±1 year). Longitudinal analysis of relative brain volume loss used a linear mixed model with sex, age, disease duration, and HLA‐DRB1*15:01 as covariates. Results Relapses were associated with a transient increase in disability over 1‐year intervals (p = 0.012) but not with confirmed disability progression (p = 0.551). Relative brain volume declined at a greater rate among individuals with disability progression compared to those who remained stable (p < 0.05). Interpretation Long‐term worsening is common in relapsing MS patients, is largely independent of relapse activity, and is associated with accelerated brain atrophy. We propose the term silent progression to describe the insidious disability that accrues in many patients who satisfy traditional criteria for relapsing–remitting MS. Ann Neurol 2019;85:653–666
Collapse
Affiliation(s)
| | - Bruce A C Cree
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Jill A Hollenbach
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Riley Bove
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Gina Kirkish
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Simone Sacco
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Eduardo Caverzasi
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Antje Bischof
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Tristan Gundel
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Alyssa H Zhu
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Nico Papinutto
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - William A Stern
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Carolyn Bevan
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Andrew Romeo
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Douglas S Goodin
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Jeffrey M Gelfand
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Jennifer Graves
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Ari J Green
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Michael R Wilson
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Scott S Zamvil
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Chao Zhao
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Refujia Gomez
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Nicholas R Ragan
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Gillian Q Rush
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Patrick Barba
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Adam Santaniello
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Sergio E Baranzini
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Jorge R Oksenberg
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Roland G Henry
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Stephen L Hauser
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA
| |
Collapse
|
29
|
Calvo AG, Gomez R, Lopez A, Sanchez S, Villarejo P, Padilla D, Manzanedo I, Pereira F, Perez-Viejo E, Gonzalez L, Lopez-Tomassetti E, Hernandez J, Diaz E, Fabra I, Titos A, Pitarch M, Ochando F, Lacueva F. Morbimortality of patients undergoing cytoreduction + closed hipec with co2 agitation system: a multicentre study. Eur J Surg Oncol 2019. [DOI: 10.1016/j.ejso.2018.10.493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
|
30
|
Calvo AG, Gomez R, Lasa I, Sanchez S, Padilla D, Villarejo P, Manzanedo I, Pereira F, Perez-Viejo E, Gonzalez L, Lopez-Tomassetti E, Hernandez J, Fabra I, Diaz E, Titos A, Pitarch M, Marcello M, Lacueva F. Analysis of the survival of patients undergoing cytoreduction + closed hipec with co2 agitation system: multicenter study. Eur J Surg Oncol 2019. [DOI: 10.1016/j.ejso.2018.10.494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
|
31
|
Amezcua L, Beecham AH, Delgado SR, Chinea A, Burnett M, Manrique CP, Gomez R, Comabella M, Montalban X, Ortega M, Tornes L, Lund BT, Islam T, Conti D, Oksenberg JR, McCauley JL. Native ancestry is associated with optic neuritis and age of onset in hispanics with multiple sclerosis. Ann Clin Transl Neurol 2018; 5:1362-1371. [PMID: 30480030 PMCID: PMC6243381 DOI: 10.1002/acn3.646] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Revised: 08/19/2018] [Accepted: 08/21/2018] [Indexed: 11/24/2022] Open
Abstract
Background and Objective Hispanics with multiple sclerosis (MS) present younger and more often with optic neuritis (ON) as compared to Whites in the western United States. Regional differences related to Hispanic genetic admixture could be responsible. We investigated the association between global genetic ancestry and ON and age at onset of MS in Hispanics. Methods Data were obtained for 1033 self‐identified Hispanics with MS from four MS‐based registries from four academic institutions across the United States January 2016–April 2017. Multivariate regression models, utilizing genetic ancestry estimates for Native American (NA), African, and European ancestry, were used to assess the relationship between genetic ancestry and ON presentation and age of MS onset, defined as age at first symptom. Results Genetic ancestry and ON proportions varied by region where NA ancestry and ON proportions were highest among Hispanics in the southwestern United States (40% vs. 19% overall for NA and 38% vs. 25% overall for ON). A strong inverse correlation was observed between NA and European ancestry (r = −0.83). ON presentation was associated with younger age of onset (OR: 0.98; 95% CI: 0.96–0.99; P = 7.80 × 10−03) and increased NA ancestry (OR: 2.35 for the highest versus the lowest quartile of NA ancestry; 95% CI: 1.35–4.10; P = 2.60 × 10−03). Younger age of onset was found to be associated with a higher proportion NA (Beta: −5.58; P = 3.49 × 10−02) and African ancestry (Beta: −10.07; P = 1.39 × 10−03). Interpretation Ethnic differences associated with genetic admixture could influence clinical presentation in Hispanics with MS; underscoring the importance of considering genetic substructure in future clinical, genetic, and epigenetic studies in Hispanics.
Collapse
Affiliation(s)
- Lilyana Amezcua
- Department of Neurology Keck School of Medicine University of Southern California Los Angeles California
| | - Ashley H Beecham
- Dr. John T. Macdonald Department of Human Genetics Miller School of Medicine University of Miami Miami Florida.,John P. Hussman Institute of Human Genomics Miller School of Medicine University of Miami Miami Florida
| | - Silvia R Delgado
- Multiple Sclerosis Division Department of Neurology Miller School of Medicine University of Miami Miami Florida
| | - Angel Chinea
- San Juan Multiple Sclerosis Center San Juan Puerto Rico
| | - Margaret Burnett
- Department of Neurology Keck School of Medicine University of Southern California Los Angeles California
| | - Clara Patricia Manrique
- John P. Hussman Institute of Human Genomics Miller School of Medicine University of Miami Miami Florida
| | - Refujia Gomez
- Department of Preventive Medicine Keck School of Medicine University of Southern California Los Angeles California
| | - Manuel Comabella
- Department of Neurology University of San Francisco School of Medicine Los Angeles California
| | - Xavier Montalban
- Department of Neurology University of San Francisco School of Medicine Los Angeles California
| | - Melissa Ortega
- Multiple Sclerosis Division Department of Neurology Miller School of Medicine University of Miami Miami Florida
| | - Leticia Tornes
- Multiple Sclerosis Division Department of Neurology Miller School of Medicine University of Miami Miami Florida
| | - Brett T Lund
- Department of Neurology Keck School of Medicine University of Southern California Los Angeles California
| | - Talat Islam
- Department de Neurología-Neuroinmunología Centre d'Esclerosi Múltiple de Catalunya (Cemcat) Institut de Recerca Vall d'Hebron Hospital Universitari Vall d'Hebron Universitat Autònoma de Barcelona Barcelona Spain
| | - David Conti
- Department de Neurología-Neuroinmunología Centre d'Esclerosi Múltiple de Catalunya (Cemcat) Institut de Recerca Vall d'Hebron Hospital Universitari Vall d'Hebron Universitat Autònoma de Barcelona Barcelona Spain
| | - Jorge R Oksenberg
- Department of Preventive Medicine Keck School of Medicine University of Southern California Los Angeles California
| | - Jacob L McCauley
- Dr. John T. Macdonald Department of Human Genetics Miller School of Medicine University of Miami Miami Florida.,John P. Hussman Institute of Human Genomics Miller School of Medicine University of Miami Miami Florida
| |
Collapse
|
32
|
Gonzalez Catalan M, Paulraj S, Ma F, Arora S, Choi E, Gomez R. C - 04Neuropsychological Assessments for Adult Spanish Speakers in the United States. Arch Clin Neuropsychol 2018. [DOI: 10.1093/arclin/acy061.157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
|
33
|
Becker C, Choi E, Gonzalez Catalan M, Shin S, Arora S, Huddleson M, Gomez R. A - 25Executive Attention Predicts Agitation in Older Adults with Cognitive Impairment and Dementia. Arch Clin Neuropsychol 2018. [DOI: 10.1093/arclin/acy061.25] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
|
34
|
Arora S, Ordoñez C, Collins W, Gomez R. C - 12A Case of Accelerated Progression of Co-Morbid Primary Lateral Sclerosis and Frontotemporal Dementia. Arch Clin Neuropsychol 2018. [DOI: 10.1093/arclin/acy061.165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
|
35
|
Bove R, Bevan C, Crabtree E, Zhao C, Gomez R, Garcha P, Morrissey J, Dierkhising J, Green AJ, Hauser SL, Cree BAC, Wallin MT, Gelfand JM. Toward a low-cost, in-home, telemedicine-enabled assessment of disability in multiple sclerosis. Mult Scler 2018; 25:1526-1534. [DOI: 10.1177/1352458518793527] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Background: Remote assessment of neurological disability in people with multiple sclerosis (MS) could improve access to clinical care and efficiency of clinical research. Objective: To develop and validate a telemedicine-based MS disability examination that does not require an in-home examiner. Methods: Adults with MS were recruited after a standardized in-person Expanded Disability Status Scale (EDSS) evaluation, and within 1 week underwent a blinded televideo-enabled EDSS examination with a different clinician. EDSS and tele-EDSS scores were compared. Results: Overall, 41 adults participated (mean (standard deviation (SD)) age: 47.0 years (11.6); median EDSS: 2 (range: 0–7)); 37 required no in-home assistance for the tele-EDSS evaluation (e.g. help positioning camera). Mean difference between EDSS and tele-EDSS was 0.34 (95% confidence interval (CI): 0.07–0.61). For 88% of evaluations, tele-EDSS and EDSS scores were within 1 point (similar to reported in-person inter-rater differences). Unweighted kappa for agreement within 0.5 point was 0.72. Correlation for individual functional systems (FS) ranged from modest (vision: 0.37) to high (bowel/bladder: 0.79). Overall correlation between EDSS and tele-EDSS was 0.89 ( p < 0.0001); and 0.98 ( p < 0.0001) at EDSS range: 4–7. Conclusion: In this proof of principle study, disability evaluation in mild to moderate MS is feasible using telemedicine without an aide at the patient’s location.
Collapse
Affiliation(s)
- Riley Bove
- UCSF MS and Neuroinflammation Center, Weill Institute for Neurosciences, Department of Neurology, Division of Neuroinflammation and Glial Biology, University of California, San Francisco, CA, USA
| | - Carolyn Bevan
- UCSF MS and Neuroinflammation Center, Weill Institute for Neurosciences, Department of Neurology, Division of Neuroinflammation and Glial Biology, University of California, San Francisco, CA, USA
| | - Elizabeth Crabtree
- UCSF MS and Neuroinflammation Center, Weill Institute for Neurosciences, Department of Neurology, Division of Neuroinflammation and Glial Biology, University of California, San Francisco, CA, USA
| | - Chao Zhao
- UCSF MS and Neuroinflammation Center, Weill Institute for Neurosciences, Department of Neurology, Division of Neuroinflammation and Glial Biology, University of California, San Francisco, CA, USA
| | - Refujia Gomez
- UCSF MS and Neuroinflammation Center, Weill Institute for Neurosciences, Department of Neurology, Division of Neuroinflammation and Glial Biology, University of California, San Francisco, CA, USA
| | - Priya Garcha
- UCSF MS and Neuroinflammation Center, Weill Institute for Neurosciences, Department of Neurology, Division of Neuroinflammation and Glial Biology, University of California, San Francisco, CA, USA
| | - John Morrissey
- UCSF MS and Neuroinflammation Center, Weill Institute for Neurosciences, Department of Neurology, Division of Neuroinflammation and Glial Biology, University of California, San Francisco, CA, USA
| | - Jason Dierkhising
- UCSF MS and Neuroinflammation Center, Weill Institute for Neurosciences, Department of Neurology, Division of Neuroinflammation and Glial Biology, University of California, San Francisco, CA, USA
| | - Ari J Green
- UCSF MS and Neuroinflammation Center, Weill Institute for Neurosciences, Department of Neurology, Division of Neuroinflammation and Glial Biology, University of California, San Francisco, CA, USA
| | - Stephen L Hauser
- UCSF MS and Neuroinflammation Center, Weill Institute for Neurosciences, Department of Neurology, Division of Neuroinflammation and Glial Biology, University of California, San Francisco, CA, USA
| | - Bruce AC Cree
- UCSF MS and Neuroinflammation Center, Weill Institute for Neurosciences, Department of Neurology, Division of Neuroinflammation and Glial Biology, University of California, San Francisco, CA, USA
| | - Mitchell T Wallin
- VA MS Center of Excellence East, Washington, DC, USA
- Department of Neurology, Georgetown University School of Medicine, Washington, DC, USA
| | - Jeffrey M Gelfand
- UCSF MS and Neuroinflammation Center, Weill Institute for Neurosciences, Department of Neurology, Division of Neuroinflammation and Glial Biology, University of California, San Francisco, CA, USA
| |
Collapse
|
36
|
Herazo-Maya F, Egurrola J, Restrepo CE, Torres L, Palacios L, Ossa CA, Borrero M, Angel GA, Marquez JJ, Valencia S, Perez A, Oyola JC, Lobo L, Gomez R, Garcia H. Abstract P5-22-04: Efficacy of thoracic paravertebral block for reducing acute post-mastectomy pain. Cancer Res 2018. [DOI: 10.1158/1538-7445.sabcs17-p5-22-04] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Mastectomy is associated with acute and chronic postoperative pain. This study investigated the efficacy of thoracic paravertebral block (TPB) compared to local anesthetic of surgical wound (LASW) in breast cancer patients undergoing mastectomy.
Methods: This phase 3, randomized controlled, single blind, parallel arms and superiority clinical trial aimed to evaluate the efficacy of TPB compared to LASW on acute pain at rest and motion at 24 hours post-mastectomy, measured by a visual analog scale (VAS). The study size of 60 patients is determined to have 90% power to detect a difference of 20% in acute pain in favor of TPB. In TPB group use of ultrasound was mandatory to guide puncture of intervertebral space T3 for infiltrating 0.5% bupivacaine at dose of 1.5 mg/kg. In LASW group was used bupivacaine 0.5% at dose of 1.5mg/kg on subcutaneous tissue of surgical area. VAS was used to measure surgical pain at rest and motion in 2,4,6,12 and 24 hours post-operatives for both groups. Trial Registry: ClinicalTrials.gov; Identifier:NCT02609321.
Findings: From 08-2015 to 09-2016, 60 breast cancer patients were enrolled; 3 dropped off consent. Mean age was 51 year; 78% had stage II and III; and 65% receive neoadjuvant chemotherapy.There were no significant differences in the VAS pain measurement for the groups of BWT compared to LASW in the 24 hour measurement, neither at rest (P=0.6525) nor in movement (P=0.7929). There were no significant differences in both groups for repeated pain measurements (5 measures mean), total dose of opioid administration, time to first dose of opioids or adverse events.
Conclusions: There were not statistical differences for post-mastectomy acute pain in first 24 hours between TPB and LASW patients. According our findings the use of TPB should not routinely recommended for breast cancer patients undergoing mastectomy.
Citation Format: Herazo-Maya F, Egurrola J, Restrepo CE, Torres L, Palacios L, Ossa CA, Borrero M, Angel GA, Marquez JJ, Valencia S, Perez A, Oyola JC, Lobo L, Gomez R, Garcia H. Efficacy of thoracic paravertebral block for reducing acute post-mastectomy pain [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr P5-22-04.
Collapse
Affiliation(s)
- F Herazo-Maya
- Instituto de Cancerologia Clinica Las Americas, Medellin, Colombia; Clinica Las Americas, Medellin, Colombia; Universidad CES, Medellin, Colombia
| | - J Egurrola
- Instituto de Cancerologia Clinica Las Americas, Medellin, Colombia; Clinica Las Americas, Medellin, Colombia; Universidad CES, Medellin, Colombia
| | - CE Restrepo
- Instituto de Cancerologia Clinica Las Americas, Medellin, Colombia; Clinica Las Americas, Medellin, Colombia; Universidad CES, Medellin, Colombia
| | - L Torres
- Instituto de Cancerologia Clinica Las Americas, Medellin, Colombia; Clinica Las Americas, Medellin, Colombia; Universidad CES, Medellin, Colombia
| | - L Palacios
- Instituto de Cancerologia Clinica Las Americas, Medellin, Colombia; Clinica Las Americas, Medellin, Colombia; Universidad CES, Medellin, Colombia
| | - CA Ossa
- Instituto de Cancerologia Clinica Las Americas, Medellin, Colombia; Clinica Las Americas, Medellin, Colombia; Universidad CES, Medellin, Colombia
| | - M Borrero
- Instituto de Cancerologia Clinica Las Americas, Medellin, Colombia; Clinica Las Americas, Medellin, Colombia; Universidad CES, Medellin, Colombia
| | - GA Angel
- Instituto de Cancerologia Clinica Las Americas, Medellin, Colombia; Clinica Las Americas, Medellin, Colombia; Universidad CES, Medellin, Colombia
| | - JJ Marquez
- Instituto de Cancerologia Clinica Las Americas, Medellin, Colombia; Clinica Las Americas, Medellin, Colombia; Universidad CES, Medellin, Colombia
| | - S Valencia
- Instituto de Cancerologia Clinica Las Americas, Medellin, Colombia; Clinica Las Americas, Medellin, Colombia; Universidad CES, Medellin, Colombia
| | - A Perez
- Instituto de Cancerologia Clinica Las Americas, Medellin, Colombia; Clinica Las Americas, Medellin, Colombia; Universidad CES, Medellin, Colombia
| | - JC Oyola
- Instituto de Cancerologia Clinica Las Americas, Medellin, Colombia; Clinica Las Americas, Medellin, Colombia; Universidad CES, Medellin, Colombia
| | - L Lobo
- Instituto de Cancerologia Clinica Las Americas, Medellin, Colombia; Clinica Las Americas, Medellin, Colombia; Universidad CES, Medellin, Colombia
| | - R Gomez
- Instituto de Cancerologia Clinica Las Americas, Medellin, Colombia; Clinica Las Americas, Medellin, Colombia; Universidad CES, Medellin, Colombia
| | - H Garcia
- Instituto de Cancerologia Clinica Las Americas, Medellin, Colombia; Clinica Las Americas, Medellin, Colombia; Universidad CES, Medellin, Colombia
| |
Collapse
|
37
|
Damotte V, Lizée A, Tremblay M, Agrawal A, Khankhanian P, Santaniello A, Gomez R, Lincoln R, Tang W, Chen T, Lee N, Villoslada P, Hollenbach JA, Bevan CD, Graves J, Bove R, Goodin DS, Green AJ, Baranzini SE, Cree BAC, Henry RG, Hauser SL, Gelfand JM, Gourraud PA. Harnessing electronic medical records to advance research on multiple sclerosis. Mult Scler 2018; 25:408-418. [DOI: 10.1177/1352458517747407] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
Background: Electronic medical records (EMR) data are increasingly used in research, but no studies have yet evaluated similarity between EMR and research-quality data and between characteristics of an EMR multiple sclerosis (MS) population and known natural MS history. Objectives: To (1) identify MS patients in an EMR system and extract clinical data, (2) compare EMR-extracted data with gold-standard research data, and (3) compare EMR MS population characteristics to expected MS natural history. Methods: Algorithms were implemented to identify MS patients from the University of California San Francisco EMR, de-identify the data and extract clinical variables. EMR-extracted data were compared to research cohort data in a subset of patients. Results: We identified 4142 MS patients via search of the EMR and extracted their clinical data with good accuracy. EMR and research values showed good concordance for Expanded Disability Status Scale (EDSS), timed-25-foot walk, and subtype. We replicated several expected MS epidemiological features from MS natural history including higher EDSS for progressive versus relapsing–remitting patients and for male versus female patients and increased EDSS with age at examination and disease duration. Conclusion: Large real-world cohorts algorithmically extracted from the EMR can expand opportunities for MS clinical research.
Collapse
Affiliation(s)
- Vincent Damotte
- MS Genetics, Department of Neurology, School of Medicine, University of California San Francisco (UCSF), San Francisco, CA, USA
| | - Antoine Lizée
- MS Genetics, Department of Neurology, School of Medicine, University of California San Francisco (UCSF), San Francisco, CA, USA/Université de Nantes, INSERM, UMR 1064, ATIP-Avenir, Equipe 5 Centre de Recherche en Transplantation et Immunologie, Nantes, France
| | - Matthew Tremblay
- MS Genetics, Department of Neurology, School of Medicine, University of California San Francisco (UCSF), San Francisco, CA, USA/Department of Neurology, John Dempsey Hospital, University of Connecticut Health Center, Farmington, CT, USA
| | - Alisha Agrawal
- MS Genetics, Department of Neurology, School of Medicine, University of California San Francisco (UCSF), San Francisco, CA, USA
| | - Pouya Khankhanian
- MS Genetics, Department of Neurology, School of Medicine, University of California San Francisco (UCSF), San Francisco, CA, USA/Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA, USA
| | - Adam Santaniello
- MS Genetics, Department of Neurology, School of Medicine, University of California San Francisco (UCSF), San Francisco, CA, USA
| | - Refujia Gomez
- MS Genetics, Department of Neurology, School of Medicine, University of California San Francisco (UCSF), San Francisco, CA, USA
| | - Robin Lincoln
- MS Genetics, Department of Neurology, School of Medicine, University of California San Francisco (UCSF), San Francisco, CA, USA
| | - Wendy Tang
- MS Genetics, Department of Neurology, School of Medicine, University of California San Francisco (UCSF), San Francisco, CA, USA
| | - Tiffany Chen
- MS Genetics, Department of Neurology, School of Medicine, University of California San Francisco (UCSF), San Francisco, CA, USA
| | - Nelson Lee
- Information Technology, University of California San Francisco (UCSF), San Francisco, CA, USA
| | - Pablo Villoslada
- MS Genetics, Department of Neurology, School of Medicine, University of California San Francisco (UCSF), San Francisco, CA, USA/IDIBAPS—Hospital Clinic of Barcelona, Barcelona, Spain
| | - Jill A Hollenbach
- MS Genetics, Department of Neurology, School of Medicine, University of California San Francisco (UCSF), San Francisco, CA, USA
| | - Carolyn D Bevan
- MS Genetics, Department of Neurology, School of Medicine, University of California San Francisco (UCSF), San Francisco, CA, USA
| | - Jennifer Graves
- MS Genetics, Department of Neurology, School of Medicine, University of California San Francisco (UCSF), San Francisco, CA, USA
| | - Riley Bove
- MS Genetics, Department of Neurology, School of Medicine, University of California San Francisco (UCSF), San Francisco, CA, USA
| | - Douglas S Goodin
- MS Genetics, Department of Neurology, School of Medicine, University of California San Francisco (UCSF), San Francisco, CA, USA
| | - Ari J Green
- MS Genetics, Department of Neurology, School of Medicine, University of California San Francisco (UCSF), San Francisco, CA, USA
| | - Sergio E Baranzini
- MS Genetics, Department of Neurology, School of Medicine, University of California San Francisco (UCSF), San Francisco, CA, USA
| | - Bruce AC Cree
- MS Genetics, Department of Neurology, School of Medicine, University of California San Francisco (UCSF), San Francisco, CA, USA
| | - Roland G Henry
- MS Genetics, Department of Neurology, School of Medicine, University of California San Francisco (UCSF), San Francisco, CA, USA
| | - Stephen L Hauser
- MS Genetics, Department of Neurology, School of Medicine, University of California San Francisco (UCSF), San Francisco, CA, USA
| | - Jeffrey M Gelfand
- MS Genetics, Department of Neurology, School of Medicine, University of California San Francisco (UCSF), San Francisco, CA, USA
| | - Pierre-Antoine Gourraud
- MS Genetics, Department of Neurology, School of Medicine, University of California San Francisco (UCSF), San Francisco, CA, USA/Université de Nantes, INSERM, UMR 1064, ATIP-Avenir, Equipe 5 Centre de Recherche en Transplantation et Immunologie, Nantes, France
| |
Collapse
|
38
|
Gonzalez CM, Arora S, Gomez R. Diversity-3Neuropsychological Assessments for Adult Spanish Speakers in the United States. Arch Clin Neuropsychol 2017. [DOI: 10.1093/arclin/acx075.11] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
|
39
|
Paul N, Zenisek R, Becker M, Gomez R, Strong M, Chaleunsouck R, Allen D. C-76Psychometric Evaluation of a New Brief Test of Social Cognitive Abilities (BTSCA). Arch Clin Neuropsychol 2017. [DOI: 10.1093/arclin/acx076.243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
|
40
|
Milone G, Penna M, Fernandez F, Spitzer E, Millan S, Mariani S, Español N, Gomez R. PHARMOVIGILANCE OF RITUXIMAB BIOSIMILAR IN THE TREATMENT OF LYMPHOMAS IN ARGENTINA. Hematol Oncol 2017. [DOI: 10.1002/hon.2439_195] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- G. Milone
- Hematology; Centro Medico Hematologico, Ciudad Autonoma de Buenos Aires; Argentina
| | - M.I. Penna
- Medical Affairs, Laboratorio ELEA SACIFyA, Ciudad Autonoma de Buenos Aires; Argentina
| | - F.A. Fernandez
- Pharmacovigilance, Laboratorio ELEA SACIFyA, Ciudad Autonoma de Buenos Aires; Argentina
| | - E. Spitzer
- Scientific Affairs, Laboratorio ELEA SACIFyA, Ciudad Autonoma de Buenos Aires; Argentina
| | - S. Millan
- Medical Direction, Mabxience; Madrid Spain
| | - S. Mariani
- Pharmacovigilance, Mabxience; Madrid Spain
| | - N. Español
- Pharmacovigilance, Mabxience; Madrid Spain
| | - R. Gomez
- Medical Affairs, Laboratorio ELEA SACIFyA, Ciudad Autonoma de Buenos Aires; Argentina
| |
Collapse
|
41
|
Bertin V, Bosch P, Del Angel G, Gomez R, Barbier J, Marécot P. Préparation de catalyseurs bimétalliques Pt-Au par réaction redox : caractérisation par diffraction et par diffusion centrale des rayons X. ACTA ACUST UNITED AC 2017. [DOI: 10.1051/jcp/1995920120] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
|
42
|
Simon KC, Gomez R, Nadel L. 0234 LOSING MEMORIES WITH TARGETED MEMORY REACTIVATION. Sleep 2017. [DOI: 10.1093/sleepj/zsx050.233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
|
43
|
Bartels C, Gomez R, Schorsch M, Seufert R. Der prädiktive Wert des Time-lapse Imaging Systems für den Ausgang der In-vitro Fertilisation. Geburtshilfe Frauenheilkd 2016. [DOI: 10.1055/s-0036-1593083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
|
44
|
Gomez R, Zier U, Passet-Wittig J, Seufert R, Münster E. Welche Rolle spielt der Gynäkologe als Ansprechpartner auf dem Weg in die Kinderwunschbehandlung? – Ergebnisse der Basiserhebung der prospektiven PinK-Studie (Paare in Kinderwunschbehandlung). Geburtshilfe Frauenheilkd 2016. [DOI: 10.1055/s-0036-1592779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
|
45
|
Huddleson M, Jhingon G, Harley A, Shin S, Paulraj S, Gomez R. B-23The Bipolar Brain on Drugs: How Four Categories of Pharmaceuticals Affect Cognition in Euthymic Adult Patients with Bipolar Disorder. Arch Clin Neuropsychol 2016. [DOI: 10.1093/arclin/acw043.98] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
|
46
|
Posecion L, Jhingon G, Paulraj S, Nunan-Saah J, Duong P, Harley A, Van Moorleghem K, Conniff K, Huddleson M, Shin S, Keller J, Gomez R. B-20Executive Attention Predicts Verbal Memory in Major Depression. Arch Clin Neuropsychol 2016. [DOI: 10.1093/arclin/acw043.95] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
|
47
|
Mayfield A, Lee B, Gomez R, Mayfield J, Allen D. C-25Neurocognitive Correlates of the Comprehensive Trail Making Test (CTMT) in Children with Neurological Disorders. Arch Clin Neuropsychol 2016. [DOI: 10.1093/arclin/acw043.174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
|
48
|
Paulraj S, Harley A, Jhingon G, Duong P, Huddleson M, Shin S, Posecion L, Gomez R, Simone P, Haas A. A-06Wisconsin Card Sorting Test Performance in Healthy Older Adults Who Use Sudoku or Crossword Puzzles. Arch Clin Neuropsychol 2016. [DOI: 10.1093/arclin/acw043.06] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
|
49
|
Cree BAC, Gourraud PA, Oksenberg JR, Bevan C, Crabtree-Hartman E, Gelfand JM, Goodin DS, Graves J, Green AJ, Mowry E, Okuda DT, Pelletier D, von Büdingen HC, Zamvil SS, Agrawal A, Caillier S, Ciocca C, Gomez R, Kanner R, Lincoln R, Lizee A, Qualley P, Santaniello A, Suleiman L, Bucci M, Panara V, Papinutto N, Stern WA, Zhu AH, Cutter GR, Baranzini S, Henry RG, Hauser SL. Long-term evolution of multiple sclerosis disability in the treatment era. Ann Neurol 2016; 80:499-510. [PMID: 27464262 PMCID: PMC5105678 DOI: 10.1002/ana.24747] [Citation(s) in RCA: 271] [Impact Index Per Article: 33.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2015] [Revised: 07/12/2016] [Accepted: 07/24/2016] [Indexed: 12/20/2022]
Abstract
Objective To characterize the accrual of long‐term disability in a cohort of actively treated multiple sclerosis (MS) patients and to assess whether clinical and magnetic resonance imaging (MRI) data used in clinical trials have long‐term prognostic value. Methods This is a prospective study of 517 actively managed MS patients enrolled at a single center. Results More than 91% of patients were retained, with data ascertained up to 10 years after the baseline visit. At this last assessment, neurologic disability as measured by the Expanded Disability Status Scale (EDSS) was stable or improved compared to baseline in 41% of patients. Subjects with no evidence of disease activity (NEDA) by clinical and MRI criteria during the first 2 years had long‐term outcomes that were no different from those of the cohort as a whole. 25‐OH vitamin D serum levels were inversely associated with short‐term MS disease activity; however, these levels had no association with long‐term disability. At a median time of 16.8 years after disease onset, 10.7% (95% confidence interval [CI] = 7.2–14%) of patients reached an EDSS ≥ 6, and 18.1% (95% CI = 13.5–22.5%) evolved from relapsing MS to secondary progressive MS (SPMS). Interpretation Rates of worsening and evolution to SPMS were substantially lower when compared to earlier natural history studies. Notably, the NEDA 2‐year endpoint was not a predictor of long‐term stability. Finally, the data call into question the utility of annual MRI assessments as a treat‐to‐target approach for MS care. Ann Neurol 2016;80:499–510
Collapse
Affiliation(s)
| | - Bruce A C Cree
- Department of Neurology, University of California, San Francisco, San Francisco, CA.
| | | | - Jorge R Oksenberg
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Carolyn Bevan
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | | | - Jeffrey M Gelfand
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Douglas S Goodin
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Jennifer Graves
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Ari J Green
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Ellen Mowry
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Darin T Okuda
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Daniel Pelletier
- Department of Neurology, University of Southern California, Los Angeles, CA
| | | | - Scott S Zamvil
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Alisha Agrawal
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Stacy Caillier
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Caroline Ciocca
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Refujia Gomez
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Rachel Kanner
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Robin Lincoln
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Antoine Lizee
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Pamela Qualley
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Adam Santaniello
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Leena Suleiman
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Monica Bucci
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Valentina Panara
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Nico Papinutto
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - William A Stern
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Alyssa H Zhu
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Gary R Cutter
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL
| | - Sergio Baranzini
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Roland G Henry
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Stephen L Hauser
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| |
Collapse
|
50
|
George MF, Briggs FBS, Shao X, Gianfrancesco MA, Kockum I, Harbo HF, Celius EG, Bos SD, Hedström A, Shen L, Bernstein A, Alfredsson L, Hillert J, Olsson T, Patsopoulos NA, De Jager PL, Oturai AB, Søndergaard HB, Sellebjerg F, Sorensen PS, Gomez R, Caillier SJ, Cree BAC, Oksenberg JR, Hauser SL, D'Alfonso S, Leone MA, Martinelli Boneschi F, Sorosina M, van der Mei I, Taylor BV, Zhou Y, Schaefer C, Barcellos LF. Multiple sclerosis risk loci and disease severity in 7,125 individuals from 10 studies. Neurol Genet 2016; 2:e87. [PMID: 27540591 PMCID: PMC4974846 DOI: 10.1212/nxg.0000000000000087] [Citation(s) in RCA: 60] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2015] [Accepted: 06/16/2016] [Indexed: 12/29/2022]
Abstract
OBJECTIVE We investigated the association between 52 risk variants identified through genome-wide association studies and disease severity in multiple sclerosis (MS). METHODS Ten unique MS case data sets were analyzed. The Multiple Sclerosis Severity Score (MSSS) was calculated using the Expanded Disability Status Scale at study entry and disease duration. MSSS was considered as a continuous variable and as 2 dichotomous variables (median and extreme ends; MSSS of ≤5 vs >5 and MSSS of <2.5 vs ≥7.5, respectively). Single nucleotide polymorphisms (SNPs) were examined individually and as both combined weighted genetic risk score (wGRS) and unweighted genetic risk score (GRS) for association with disease severity. Random-effects meta-analyses were conducted and adjusted for cohort, sex, age at onset, and HLA-DRB1*15:01. RESULTS A total of 7,125 MS cases were analyzed. The wGRS and GRS were not strongly associated with disease severity after accounting for cohort, sex, age at onset, and HLA-DRB1*15:01. After restricting analyses to cases with disease duration ≥10 years, associations were null (p value ≥0.05). No SNP was associated with disease severity after adjusting for multiple testing. CONCLUSIONS The largest meta-analysis of established MS genetic risk variants and disease severity, to date, was performed. Results suggest that the investigated MS genetic risk variants are not associated with MSSS, even after controlling for potential confounders. Further research in large cohorts is needed to identify genetic determinants of disease severity using sensitive clinical and MRI measures, which are critical to understanding disease mechanisms and guiding development of effective treatments.
Collapse
Affiliation(s)
| | | | - Xiaorong Shao
- Author affiliations are listed at the end of the article
| | | | - Ingrid Kockum
- Author affiliations are listed at the end of the article
| | - Hanne F Harbo
- Author affiliations are listed at the end of the article
| | | | - Steffan D Bos
- Author affiliations are listed at the end of the article
| | - Anna Hedström
- Author affiliations are listed at the end of the article
| | - Ling Shen
- Author affiliations are listed at the end of the article
| | | | | | - Jan Hillert
- Author affiliations are listed at the end of the article
| | - Tomas Olsson
- Author affiliations are listed at the end of the article
| | | | | | | | | | | | - Per S Sorensen
- Author affiliations are listed at the end of the article
| | - Refujia Gomez
- Author affiliations are listed at the end of the article
| | | | - Bruce A C Cree
- Author affiliations are listed at the end of the article
| | | | | | | | | | | | | | | | - Bruce V Taylor
- Author affiliations are listed at the end of the article
| | - Yuan Zhou
- Author affiliations are listed at the end of the article
| | | | | |
Collapse
|