3.8 Article

Biochemical alterations associated with ALS

期刊

AMYOTROPHIC LATERAL SCLEROSIS
卷 13, 期 1, 页码 110-118

出版社

INFORMA HEALTHCARE
DOI: 10.3109/17482968.2011.619197

关键词

ALS; biomarker; metabolomics; pathophysiology

资金

  1. ALS Association
  2. National Institutes of Health
  3. National Institute of Neurological Disorders and Stroke
  4. National Institutes of Health/National Center for Research Resources/General Clinical Research Centers Program
  5. North Carolina Biotechnology Center
  6. Neuralstem Inc
  7. ISIS Pharmaceuticals Inc
  8. Knopp Biosciences
  9. Biogen Idec
  10. NIH

向作者/读者索取更多资源

Our objective was to identify metabolic pathways affected by ALS using non-targeted metabolomics in plasma, comparing samples from healthy volunteers to those from ALS patients. This discovery could become the basis for the identification of therapeutic targets and diagnostic biomarkers of ALS. Two distinct cross-sectional studies were conducted. Plasma was collected from 62 (Study 1) and 99 (Study 2) participants meeting El Escorial criteria for possible, probable, or definite ALS; 69 (Study 1) and 48 (Study 2) healthy controls samples were collected. Global metabolic profiling was used to detect and evaluate biochemical signatures of ALS. Twenty-three metabolites were significantly altered in plasma from ALS patients in both studies. These metabolites include biochemicals in pathways associated with neuronal change, hypermetabolism, oxidative damage, and mitochondrial dysfunction, all of which are proposed disease mechanisms in ALS. The data also suggest possible hepatic dysfunction associated with ALS. In conclusion, the data presented here provide insight into the pathophysiology of ALS while suggesting promising areas of focus for future studies. The metabolomics approach can generate novel hypotheses regarding ALS disease mechanisms with the potential to identify therapeutic targets and novel diagnostic biomarkers.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

3.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据