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
-
Clinical Scorecard: Metabolic Intersections: The Role of Glycolysis in Cancer and Neurodegenerative Disorders
At a Glance
| Category | Detail |
| Condition | Cancer and Neurodegenerative Diseases |
| Key Mechanisms | Metabolic dysregulation, particularly in glucose metabolism and aerobic glycolysis. |
| Target Population | Patients with cancer and neurodegenerative diseases such as Parkinson's disease and Alzheimer's disease. |
| Care Setting | Clinical 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