Mechanistic Study of Zuogui Jiangtang Shuluo Formula in Regulating Lipid Metabolism and Inhibiting Ferroptosis for the Prevention and Treatment of Diabetic Peripheral Neuropathy
Mechanistic Study of Zuogui Jiangtang Shuluo Formula in Regulating Lipid Metabolism and Inhibiting Ferroptosis for the Prevention and Treatment of Diabetic Peripheral Neuropathy
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.
DSPN inclusion criteria:
DSPN exclusion criteria
Healthy volunteer inclusion criteria:
Healthy volunteer exclusion criteria:
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This study is a single-center, randomized, parallel-controlled trial. A total of 74 patients with DPN (37 per group) will be recruited from the outpatient and inpatient departments of Endocrinology at The First Affiliated Hospital of Hunan University of Traditional Chinese Medicine between August 2026 and August 2027, along with 30 healthy volunteers as controls.
This study is a single-center, randomized, parallel-controlled trial. It is prepared to recruit 74 patients with diabetic peripheral neuropathy (DPN) from the outpatient and inpatient departments of Endocrinology at The First Affiliated Hospital of Hunan University of Traditional Chinese Medicine between January 2026 and December 2026, along with 30 healthy volunteers as normal controls, based on clinical diagnostic criteria and screening criteria. Eligible DPN patients will be randomly assigned in a 1:1 ratio to either the Zuogui Jiangtang Shuluo Formula (ZGJTSLF) group or the mecobalamin control group using a random number generator in SPSS software with a fixed seed. This is an open-label trial for participants, care providers, and investigators; however, the outcomes assessor, specifically, the technician responsible for nerve conduction velocity measurements, will be blinded to group allocation. Patients in the ZGJTSLF group will receive Zuogui Jiangtang Shuluo Formula decoction, while those in the control group will receive mecobalamin tablets, both for 4 consecutive weeks. The primary outcomes include the Toronto Clinical Scoring System (TCSS) score and nerve conduction velocity (NCV), and secondary outcomes include TCM syndrome score, fasting plasma glucose, glycated hemoglobin, and lipid profile. Meanwhile, blood, urine, and fecal samples will be collected from all participants, including healthy volunteers, at baseline and after 4 weeks of treatment and frozen for further analysis. Plasma metabolomics and lipidomics profiling will be performed using UPLC-MS/MS technology to detect differential metabolites and lipids, analyze the differences among the groups, identify potential biomarkers, and explore the underlying mechanisms of ZGJTSLF in treating DPN. Correlation analysis between differential metabolites/lipids and clinical parameters will also be conducted. All statistical analyses will be performed using SPSS version 26.0, with a two-sided P < 0.05 considered statistically significant. This study has been approved by the Ethics Committee of The First Affiliated Hospital of Hunan University of Traditional Chinese Medicine (Approval No. HN-LL-YJSLW-2026), and all participants will provide written informed consent.
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