An Observational Study to Explore the Early Diagnostic Value of Ultrasonographic Sciatic Nerve Cross-Sectional Area and Inferior Gluteal Artery Blood Flow Velocity in Patients With Diabetic Peripheral Neuropathy Stratified by Severity: Integrating Bioinformatics-Based Exploration of Neuropathy Mechanisms and Correlation With a DPN Target Gene

Diabetic peripheral neuropathy (DPN) is a common and serious complication of diabetes that causes numbness, pain, and weakness, often starting in the feet. Currently, there is no cure, and early diagnosis is difficult with standard tests alone. This observational study aims to find better ways to detect DPN in its early stages.

The researchers will use high-frequency ultrasound, a painless and non-invasive imaging tool, to measure two things in patients with type 2 diabetes: the cross-sectional area of the sciatic nerve (to look for swelling) and the blood flow velocity in the inferior gluteal artery (a vessel that supplies the nerve).In parallel, a bioinformatics analysis has identified a key target gene, Matrix Metalloproteinase 9(MMP9), which may play a role in nerve damage through a specific signaling pathway. The level of this protein will be measured in the patients' blood.

A total of 120 participants will be grouped by the severity of their nerve damage, assessed by Toronto Clinical Scoring System (TCSS). The study will investigate whether the ultrasound measurements correlate with the clinical scores, nerve conduction studies, and the blood levels of the target protein. The ultimate goal is to combine these ultrasound structure, blood flow function, and molecular markers to build a more accurate tool for the early diagnosis and precise management of DPN, bridging the gap from early warning to mechanism-based care.