Biomedicines, Journal Year: 2025, Volume and Issue: 13(2), P. 413 - 413
Published: Feb. 8, 2025
Background: Diabetic sensorimotor polyneuropathy (DSP) is a common chronic diabetic complication. Traditionally, DSP was once considered irreversible with typical loss of axon. However, the superimpose acquired demyelination on axonal in patients has been observed, implying that may be preventable or reversible, particularly within subgroup exhibiting early-stage demyelination, underscoring critical importance identifying early prognostic markers. Methods: We systemically review literature roles biomarkers predicting and monitoring progress. The underlying mechanisms were also discussed. Results: pathogenesis multifaceted, various pathological contributing to its development. Key include aberrant glucose metabolism induction oxidative stress inflammation. Several processes, such as disrupted metabolism, nerve damage, impaired microcirculation, genetic variants, microRNA dysregulation, lead molecular protein changes detectable blood other biological compartments, thus serving potential for progression. utility biomarker depends predictive accuracy, practicality, ease measurement. Conclusions: Most have demonstrated suboptimal value, many lack established accuracy forecasting Consequently, diagnostic any single remains limited. A comprehensive combination from categories hold incredible promise accurate detection. As artificial intelligence (AI) techniques, especially machine learning, rapidly advance, these technologies offer significant developing platforms integrate interpret complex data DSP.
Language: Английский