BDNF-related biomarkers and cognitive impairment in chronic kidney disease: associations and machine learning-based discrimination analysis
Year: 2026
Type: article
Study design: Observational Study
Abstract: Background: Cognitive impairment is a common complication among patients with chronic kidney disease (CKD). However, biomarkers associated with cognitive impairment in this population remain insufficiently characterized. Brain-derived neurotrophic factor (BDNF) may be involved in neurobiological processes related to cognitive function, but its association with cognitive impairment among patients with CKD remains unclear. Methods: In this cross-sectional study, 240 patients with CKD underwent cognitive assessment and serum BDNF measurement during the same clinical evaluation. Multivariable logistic regression models were used to examine the associations of BDNF and the BDNF/eGFR ratio with prevalent cognitive impairment. Restricted cubic spline analyses were performed to assess potential dose-response relationships, and subgroup analyses were conducted to explore potential effect modification. Additionally, nine machine learning algorithms were applied to evaluate the discrimination ability of BDNF-related indicators for distinguishing participants with and without cognitive impairment. SHapley Additive exPlanations (SHAP) analysis was used to interpret the contribution of variables in the best-performing model. Results: Higher levels of BDNF and BDNF/eGFR ratio were significantly associated with lower odds of prevalent cognitive impairment after multivariable adjustment (BDNF: OR = 0.72, 95% CI: 0.63-0.82; BDNF/eGFR ratio: OR = 0.62, 95% CI: 0.45-0.82). Quartile analyses showed consistent inverse associations, and restricted cubic spline analyses indicated linear relationships. Significant effect modification was observed by sex for both markers and by stroke history for the BDNF/eGFR ratio. Among the evaluated machine learning approaches, the random forest model demonstrated the highest discrimination performance, with AUCs of 0.803 for BDNF and 0.844 for BDNF/eGFR ratio. SHAP analysis indicated that BDNF-related markers contributed substantially to the classification of cognitive impairment status. Conclusion: BDNF and BDNF/eGFR ratio were inversely associated with prevalent cognitive impairment in patients with CKD. These findings suggest that BDNF-related markers may be associated with cognitive impairment status and provide potential biological insights into CKD-related cognitive dysfunction. Further longitudinal studies are required to determine whether these biomarkers can contribute to future risk assessment or clinical decision-making.
Source: Frontiers in Medicine
Authors: Xiaoran Li, Hong Qian, Wenwen Xiao
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,801
OpenAlex ID: W7223082605
