Metabolic Intersections: The Role of Glycolysis in Cancer and Neurodegenerative Disorders - Scorecard - MDSpire

Metabolic Intersections: The Role of Glycolysis in Cancer and Neurodegenerative Disorders

  • By

  • Shaopeng Zeng

  • Huan Liu

  • Shilong Han

  • Jun Chen

  • Ying Yang

  • Jing Zhang

  • December 1, 2025

  • 0 min

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Clinical Scorecard: Metabolic Intersections: The Role of Glycolysis in Cancer and Neurodegenerative Disorders

At a Glance

CategoryDetail
ConditionCancer and Neurodegenerative Diseases
Key MechanismsMetabolic dysregulation, particularly in glucose metabolism and aerobic glycolysis.
Target PopulationPatients with cancer and neurodegenerative diseases such as Parkinson's disease and Alzheimer's disease.
Care SettingClinical research and pathology laboratories.

Key Highlights

  • Cancer survivors show lower rates of neurodegeneration.
  • Aerobic glycolysis is critical for cancer cell proliferation and offers neuroprotection in the brain.
  • ACAA2 gene expression is inversely regulated in cancer and neurodegenerative diseases.
  • Metabolic reprogramming may serve as a therapeutic target for both conditions.
  • Age-related metabolic dysregulation may underlie both sporadic cancer and neurodegenerative diseases.

Guideline-Based Recommendations

Diagnosis

  • Utilize RNA sequencing data for identifying altered glycolysis-related genes in cancer and neurodegenerative diseases.

Management

  • Consider restoring astrocytic glycolysis and lactate production as a therapeutic strategy for neurodegenerative diseases.

Monitoring & Follow-up

  • Monitor gene expression patterns of glycolysis-related genes in patients with cancer and neurodegenerative diseases.

Risks

  • Increased susceptibility to neurodegeneration may be linked to a decline in aerobic glycolysis.

Patient & Prescribing Data

Patients with colon adenocarcinoma and neurodegenerative diseases.

Targeting metabolic pathways may provide new treatment options for both cancer and neurodegenerative conditions.

Clinical Best Practices

  • Integrate metabolic profiling in the assessment of cancer and neurodegenerative diseases.
  • Utilize public databases for comparative analysis of gene expression in research.

References

Original Source(s)

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