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Basic Science and Pathogenesis.
Alzheimers Dement
December 2024
University of Minnesota, Minneapolis, MN, USA.
Background: With the emerging role of the blood biomarkers in Alzheimer's Disease (AD) clinical practice and trials, it is crucial to identify and address factors influencing the concentrations of these biomarkers in circulation for enhanced clinical utility. We aim to assess the impact of lung function on plasma AD biomarker levels and elucidate the relationship between lung function and Alzheimer's Disease and Related Dementias (ADRD).
Method: We used the Peak Expiratory Flow (PEF), plasma biomarkers of AD (Amyloid beta 42/40 (Aβ42/40) ratio, phosphorylated-tau181 (p-tau181), Neurofilament light chain (NfL) and Glial fibrillary acidic protein (GFAP)) measured in the Health and Retirement Study (HRS) 2016 survey participants (n = 3801) and incident dementia (n = 142) over 4 years.
Analysis of the risk of death and its associated risk factors in Chinese patients with young-onset type 2 diabetes.
Front Endocrinol (Lausanne)
January 2025
Department of Endocrinology, Huai'an Hospital Affiliated to Xuzhou Medical University and Huai'an Second People's Hospital, Huai'an, Jiangsu, China.
Objectives: To examine the association between the age at onset of diabetes and the risk of all-cause mortality in a population of individuals diagnosed with type 2 diabetes mellitus (T2DM) and to identify risk factors associated with all-cause mortality in young-onset T2DM (YOD) patients in China.
Methods: This study utilized a cohort of 9759 patients who were diagnosed with T2DM and who were registered and enrolled in the National Basic Public Health Service Management Program in Qinghe District (now Qingjiangpu District) and Huai'an District, Huai'an City, Jiangsu Province, China. The patients were observed from November 2013 to July 2014, and all-cause mortality data were obtained by comprehensive matching with the Huai'an City Resident Mortality Database as of December 31, 2019.
Change in kidney volume growth rate and renal outcomes of tolvaptan treatment in autosomal dominant polycystic kidney disease: post-hoc analysis of TEMPO 3:4 trial.
Clin Exp Nephrol
January 2025
Otsuka Pharmaceutical Development and Commercialization, Princeton, NJ, USA.
Background: Despite of long-lasting tolvaptan treatment, individual renal outcomes are unclear in autosomal dominant polycystic kidney disease (ADPKD). This post-hoc analysis of the TEMPO 3:4 trial aimed to evaluate the predictability of estimated height-adjusted total kidney volume growth rate (eHTKV-α) on renal outcomes.
Methods: In TEMPO 3:4, 1445 patients with ADPKD were randomised to tolvaptan or placebo for 3 years.
Genome-wide characterization of 54 urinary metabolites reveals molecular impact of kidney function.
Nat Commun
January 2025
Folkhälsan Research Center, Helsinki, Finland.
Dissecting the genetic mechanisms underlying urinary metabolite concentrations can provide molecular insights into kidney function and open possibilities for causal assessment of urinary metabolites with risk factors and disease outcomes. Proton nuclear magnetic resonance metabolomics provides a high-throughput means for urinary metabolite profiling, as widely applied for blood biomarker studies. Here we report a genome-wide association study meta-analysed for 3 European cohorts comprising 8,011 individuals, covering both people with type 1 diabetes and general population settings.
View Article and Find Full Text PDFUnveiling pathology-related predictive uncertainty of glomerular lesion recognition using prototype learning.
J Biomed Inform
December 2024
Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Shenzhen, China.
Objective: Recognizing glomerular lesions is essential in diagnosing chronic kidney disease. However, deep learning faces challenges due to the lesion heterogeneity, superposition, progression, and tissue incompleteness, leading to uncertainty in model predictions. Therefore, it is crucial to analyze pathology-related predictive uncertainty in glomerular lesion recognition and unveil its relationship with pathological properties and its impact on model performance.
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