Published online Jun 15, 2025. doi: 10.4239/wjd.v16.i6.105592
Revised: March 27, 2025
Accepted: May 14, 2025
Published online: June 15, 2025
Processing time: 136 Days and 2.9 Hours
Diabetic peripheral neuropathy (DPN) is the most prevalent complication of type 2 diabetes mellitus (T2DM). Due to a lack of specific biomarkers, the early diagnosis of this disorder is limited.
To identify and validate serum amino acids that could discriminate T2DM patients with DPN from those without DPN.
T2DM patients with DPN, T2DM patients without DPN, and healthy controls were recruited for this study. The participants comprised two nonoverlapping cohorts: A training cohort (DPN = 84 participants, T2DM = 82 participants, normal = 50 participants) and a validation cohort (DPN = 112 participants, T2DM = 93 participants, normal = 58 participants). A prediction model of the ability of serum amino acids to distinguish DPN from T2DM was established using a logistic regression model, and area under the curve (AUC) analysis was used to evaluate the diagnostic ability of the model. In addition, the serum amino acid levels of 13 DPN patients were also detected before treatment and after 3 months of treatment.
A clinical detection method for the diagnosis of DPN based on a biomarker panel of three serum amino acids and diabetes duration was developed. The diagnostic model demonstrated AUC values of 0.805 (95%CI: 0.739-0.871) and 0.810 (95%CI: 0.750-0.870) in the training and verification cohorts, respectively. In the identification of T2DM patients and normal controls, the AUC values were 0.891 (95%CI: 0.836-0.945) and 0.883 (95%CI: 0.832-0.934) in the training and validation cohorts, respectively. Arginine and tyrosine levels were increased after treatment, whereas aspartic acid levels were decreased after treatment.
This study successfully identified and validated the metabolomic significance of arginine, tyrosine, and glutamic acid as potential biomarkers for diagnosing DPN. These findings are particularly valuable, as they establish a foundational step toward developing the first routine laboratory test for DPN. Moreover, the diagnostic model that was constructed in this study effectively distinguishes DPN patients from those with T2DM without neuropathy, thereby potentially facilitating early diagnosis and intervention.
Core Tip: This study involves the most extensive identification of serum amino acids as biomarkers for the detection of diabetic peripheral neuropathy (DPN), including the use of both training and validation cohorts. This is the first study demonstrating that a signature consisting of 3 serum amino acids (arginine, tyrosine, and glutamic acid) and diabetes duration can successfully distinguish DPN from type 2 diabetes mellitus with acceptable accuracy. Thirteen DPN patients received treatment in our department, and their clinical symptoms were relieved; moreover, their serum arginine and tyrosine levels were significantly increased, which may reflect the reliability of our model. These findings may provide potential therapeutic targets for the diagnosis and treatment of DPN.