#AI reads Urine# The Diagnostic Potential of Urinary Titin Fragment in Neuromuscular Diseases

This document focuses on the diagnostic potential of the urinary titin-N fragment (UTN), noting that as a non-invasive biomarker, it can make up for the deficiency of traditional creatine kinase (CK) which is unable to assess muscle mass loss. UTN can be used for the diagnosis and monitoring of various diseases, including muscular dystrophies such as Duchenne muscular dystrophy (DMD), sarcopenia, ICU-acquired weakness (ICU-AW), acute skeletal muscle injury, and amyotrophic lateral sclerosis (ALS). It can also assist in the diagnosis of cardiomyopathy and predict the prognosis of patients with heart disease. Meanwhile, the document mentions that UTN detection via the enzyme-linked immunosorbent assay (ELISA) method has high sensitivity and specificity (with a reference value of ≤12 pmol/mgCr for healthy individuals). It shows a strong correlation with CK in acute conditions but a weak correlation in chronic conditions. Currently, there are limitations such as small sample sizes in studies on some diseases and a lack of long-term follow-up. Further improvements in detection standards and clinical validation are needed in the future.

Int J Mol Sci. 2025 Oct 3;26(19):9652. doi: 10.3390/ijms26199652.

Youhe Gao

Statement: During the preparation of this work the author(s) used Doubao / AI reading for summarizing the content. After using this tool/service, the author(s) reviewed and edited the content as needed and take(s) full responsibility for the content of the published article.

For earlier AI Reads Urine articles：

https://www.keaipublishing.com/en/journals/advances-in-biomarker-sciences-and-technology/ai-reads-urine/