MedElevator Войти в исследования
← Поиск публикаций

DOI 10.3390/molecules26175227

Медицинская библиотека · Molecules (Basel, Switzerland) · 2021

An Overview of Peptide-Based Molecules as Potential Drug Candidates for Multiple Sclerosis.

Del Gatto Annarita, Saviano Michele, Zaccaro Laura

СтатьяОбзорПеревод в очереди

Аннотация

Multiple sclerosis (MS) belongs to demyelinating diseases, which are progressive and highly debilitating pathologies that imply a high burden both on individual patients and on society. Currently, several treatment strategies differ in the route of administration, adverse events, and possible risks. Side effects associated with multiple sclerosis medications range from mild symptoms, such as flu-like or irritation at the injection site, to serious ones, such as progressive multifocal leukoencephalopathy and other life-threatening events. Moreover, the agents so far available have proved incapable of fully preventing disease progression, mostly during the phases that consist of continuous, accumulating disability. Thus, new treatment strategies, able to halt or even reverse disease progression and specific for targeting solely the pathways that contribute to the disease pathogenesis, are highly desirable. Here, we provide an overview of the recent literature about peptide-based systems tested on experimental autoimmune encephalitis (EAE) models. Since peptides are considered a unique therapeutic niche and important elements in the pharmaceutical landscape, they could open up new therapeutic opportunities for the treatment of MS.

Для цитирования: Del Gatto Annarita, Saviano Michele, Zaccaro Laura. An Overview of Peptide-Based Molecules as Potential Drug Candidates for Multiple Sclerosis.. Molecules (Basel, Switzerland). 2021. DOI: 10.3390/molecules26175227.

Предметные рубрики MeSH

Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.