Associations of urinary iodine concentration (UIC) with Metabolic Dysfunction-associated Steatotic Liver Disease (MASLD) among non-diabetic population: analysis of the NHANES 2017–2020
Year: 2025
Type: article
Abstract: BACKGROUND: Metabolic dysfunction-associated steatotic liver disease(MASLD) and diabetes are manifestations of metabolic syndrome. Urinary iodine concentration (UIC) is closely related to diabetes and glucose metabolism, but studies on the relationship between UIC and MASLD in non-diabetic individuals are limited. Our purpose was to explore the associations between UIC and MASLD as well as liver fibrosis in the non-diabetic population. METHODS: We analyzed data from the National Health and Nutrition Examination Survey (NHANES) conducted from 2017 to 2020. Participants were categorized into three groups based on UIC (µg/L): low (< 100), normal(100–299), and high(≥ 300). Vibration-controlled transient elastography (VCTE) was employed to measure the controlled attenuation parameter (CAP) and liver stiffness measurement (LSM), which serve as indicators of MASLD and liver fibrosis, respectively. Multiple logistic regression was performed to evaluate the association between UIC and MASLD as well as liver fibrosis. RESULTS: The study included 1281 non-diabetic participants aged ≥ 20 years. We found that high UIC was associated with a lower MASLD risk (OR = 0.57, 95%CI: 0.37–0.86, P = 0.008) compared to normal UIC. Stratified and sensitivity analyses confirmed these findings. The relationship between log2-UIC and MASLD was non-linear (P = 0.023), with a cutoff value of 84.62 µg/L. MASLD risk decreased rapidly when UIC exceeded this value. No significant association between UIC and liver fibrosis was observed. CONCLUSIONS: In non-diabetic individuals, high UIC is associated with a lower MASLD prevalence, suggesting potential dietary interventions for MASLD patients.
Source: BMC Gastroenterology
Authors: Zhaoguang Chen, Jianfeng Yu, Yanbin Wang, Donglei Zhang, Jianyu Hao, Xinjuan Liu
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,190
OpenAlex ID: W4414987898