Ribosome collisions and ZAKα activation: explores the therapeutic potential of metabolic diseases

Wenqiang Zhang1,2,3, Kexin Zhang1,2, Chengxia Kan1,2

  • 1Department of Endocrinology and Metabolism, Shandong Provincial Key Medical and Health Laboratory of Endocrinology and Metabolic Diseases, Affiliated Hospital of Shandong Second Medical University, Weifang, People's Republic of China.

Insights

Metabolic diseases are linked to ribosomal stress response (RSR) caused by oxidative stress from reactive oxygen species (ROS). Targeting ribosome collisions may offer new therapeutic strategies for metabolic disorders.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Metabolic Disease Research

Background:

  • Obesity-driven metabolic diseases like diabetes and fatty liver are rising globally.
  • The ribosomal stress response (RSR) is an emerging mechanism in metabolic dysfunction.
  • Oxidative stress, induced by reactive oxygen species (ROS), can trigger RSR.

Purpose of the Study:

  • To explore the link between ROS, oxidative stress, and RSR in metabolic diseases.
  • To highlight ribosome collisions as a potential therapeutic target.
  • To review dietary interventions for mitigating oxidative stress.

Main Methods:

  • Review of existing literature on ROS production, oxidative stress, and RSR.
  • Analysis of the role of ZAKα and stress-activated kinases in metabolic pathways.
  • Examination of evidence for dietary interventions impacting oxidative stress and metabolic health.

Main Results:

  • Dysregulated ROS production leads to oxidative stress and ribosome collisions.
  • Ribosome collisions activate ZAKα and the RSR pathway, promoting metabolic dysfunction.
  • Polyunsaturated fatty acids and antioxidants show potential in reducing oxidative stress.

Conclusions:

  • The interplay between ROS and RSR is crucial in metabolic disease pathogenesis.
  • Targeting ribosome collisions presents a novel therapeutic strategy for metabolic disorders.
  • Development of reliable oxidative stress biomarkers is needed for clinical application.

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