Literature DB >> 24119301

Disease modifying therapies modulate cardiovascular risk factors in patients with multiple sclerosis.

Zohara Sternberg1, Christopher Leung, Daniel Sternberg, Jinhee Yu, David Hojnacki.   

Abstract

OBJECTIVES: This retrospective study aimed to determine (1) the association between the use of three major disease modifying therapies (DMTs) (Interferon-beta [IFN-β], Glatiramer acetate [GA], Natalizumab [NTZ]) and cardiovascular (CV) risk factors in multiple sclerosis (MS) patients, and (2) the association between the use of CV drugs (antihypertensive, hypolipidemic, and antiplatelets) and other drugs acting on the CV system (antispastics/anticonvulsants/anxyolitics, antidepressants/stimulants), and MS disease severity.
METHODS: The charts of 188 patients with MS, who were taking one of the three DMTs, and 110 patients, who were naïve to these drugs, were retrospectively reviewed. The obtained data included height and weight, fasting lipid profiles, plasma glucose, systolic and diastolic BP, smoking habit, list of medications, and indicators of MS disease severity.
RESULTS: The use of DMTs was associated with higher diastolic BP readings, as well as higher plasma glucose and HDL-C plasma levels. In addition, there was an association between CV risk factors and the type of DMTs. When compared to DMT-naïve patients with MS, the use of IFN-β and GA was associated with higher CV risk factors, whereas the use of NTZ was associated with lower CV risk factors. In DMT-naïve patients, the use of CV and related drugs was associated with higher Extended Disability Status Scale (EDSS) and higher MS Severity Scale (MSSS).
CONCLUSION: There is an association between higher CV risk factors and the use of DMTs. Furthermore, CV and related drugs have the potential for modulating MS disease severity.
© 2014 John Wiley & Sons Ltd.

Entities:  

Keywords:  Blood pressure; Disease modifying therapy; Disease severity; Lipid profile; Multiple sclerosis; Plasma glucose

Mesh:

Substances:

Year:  2014        PMID: 24119301     DOI: 10.1111/1755-5922.12049

Source DB:  PubMed          Journal:  Cardiovasc Ther        ISSN: 1755-5914            Impact factor:   3.023


  9 in total

1.  High-mobility group box 1 in multiple sclerosis.

Authors:  Zohara Sternberg; Daniel Sternberg; Trevor Chichelli; Allison Drake; Neel Patel; Chana Kolb; Kailash Chadha; Jinhee Yu; David Hojnacki
Journal:  Immunol Res       Date:  2016-04       Impact factor: 2.829

2.  Cardiovascular profile improvement during Natalizumab treatment.

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Review 3.  Comorbidity in multiple sclerosis: implications for patient care.

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Review 4.  Impaired Neurovisceral Integration of Cardiovascular Modulation Contributes to Multiple Sclerosis Morbidities.

Authors:  Zohara Sternberg
Journal:  Mol Neurobiol       Date:  2016-01-07       Impact factor: 5.590

Review 5.  Genetic, Epigenetic, and Environmental Factors Influencing Neurovisceral Integration of Cardiovascular Modulation: Focus on Multiple Sclerosis.

Authors:  Zohara Sternberg
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Review 6.  Aspirin and multiple sclerosis.

Authors:  Sheila Tsau; Mitchell R Emerson; Sharon G Lynch; Steven M LeVine
Journal:  BMC Med       Date:  2015-06-29       Impact factor: 8.775

7.  Differentiating central nervous system demyelinating disorders: The role of clinical, laboratory, imaging characteristics and peripheral blood type I interferon activity.

Authors:  Dimitris K Karathanasis; Anna Rapti; Adrianos Nezos; Charalampos Skarlis; Constantinos Kilidireas; Clio P Mavragani; Maria Eleftheria Evangelopoulos
Journal:  Front Pharmacol       Date:  2022-08-12       Impact factor: 5.988

8.  Type-I interferons in atherosclerosis.

Authors:  Hung-Jen Chen; Sander W Tas; Menno P J de Winther
Journal:  J Exp Med       Date:  2020-01-06       Impact factor: 14.307

Review 9.  A global view of comorbidity in multiple sclerosis: a systematic review with a focus on regional differences, methodology, and clinical implications.

Authors:  Larissa Hauer; Julian Perneczky; Johann Sellner
Journal:  J Neurol       Date:  2020-07-27       Impact factor: 4.849

  9 in total

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