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Clinical Study of Zuogui Jiangtang Shuluo Formula in Treating Diabetic Peripheral Neuropathy

The First Affiliated Hospital of Hunan University of Traditional Chinese Medicine · 2026
ClinicalTrials.gov · Datasets · License: Public Domain · 2026
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diabetic-peripheral-neuropathylipidomicsmetabolomicsnarandomized-controlled-trial
Diabetic peripheral neuropathy (DPN) is a common complication of type 2 diabetes mellitus, affecting 35%-50% of diabetic patients. Its pathogenesis involves metabolic disorders induced by hyperglycemia and dyslipidemia, leading to irreversible damage to neurons and vascular endothelial cells. Distal symmetric polyneuropathy (DSPN) is the most representative form, characterized by distal pain, numbness, and sensory loss, which may progress to ulcers, gangrene, and even amputation in severe cases. Current modern medical treatments for DPN primarily focus on nutritional nerve support, antioxidative stress, and microcirculation improvement, but these approaches are limited in variety and may carry side effects. Traditional Chinese Medicine (TCM) offers advantages including higher safety and diverse therapeutic options. Based on long-term clinical observation, our research group proposes that the core pathogenesis of DPN is Qi-Yin deficiency with blood stasis obstructing collaterals. The treatment principle is to nourish Yin, supplement Qi, activate blood circulation, and unblock collaterals, with Zuogui Jiangtang Shuluo Formula (ZGJTSLF) as the primary prescription. Previous studies have shown that ZGJTSLF can improve TCSS scores and nerve conduction velocity in DPN patients compared with mecobalamin, but high-level evidence is still lacking. This randomized, parallel-controlled trial aims to evaluate the clinical efficacy of ZGJTSLF in treating DPN, with TCSS score and nerve conduction velocity as primary outcomes. Metabolomics and lipidomics will be employed to compare metabolic profiles between healthy controls and DPN patients before and after ZGJTSLF treatment, aiming to identify potential biomarkers and explore the underlying mechanisms.
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