Related Experiment Video
Updated: Jan 25, 2026

The bm12 Inducible Model of Systemic Lupus Erythematosus SLE in C57BL/6 Mice
Published on: November 1, 2015
PHLDB1 and WDFY4 as dual-state biomarkers in SLE pathogenesis and lupus nephritis prediction
Jianzhao Zhai1, Lei Zhang1, Wei Jia1
1Department of Laboratory Medicine, West China Hospital of Sichuan University, Guoxue Alley No.37, Chengdu, Sichuan, 610041, China.
Objectives:
Our previous study confirmed systemic lupus erythematosus (SLE) associated with polymorphisms of PHLDB1 and WDFY4 genes. In this study, we investigatedthe clinical relevance of PHLDB1 and WDFY4 in SLE pathogenesis and their potential as biomarkers.
Methods:
A total of 634 SLE patients from Sichuan University West China Hospital and 400 age- and sex-matched healthy controls were included in this study. Serum PHLDB1 and WDFY4 of SLE patients and HCs were measured by ELISA, and the laboratory indicators were collected through the electronic medical record. LASSO, logistic regression, and random forest models for SLE diagnosis and LN prediction, including variables: age, sex, serum proteins (PHLDB1/WDFY4), genotypes, cytokines, and clinical markers.
Results:
Results revealed elevated PHLDB1 in SLE patients compared to controls (1.61 vs. 1.48 ng/mL, P = 0.025), while paradoxically showing suppression in LN versus Non-LN patients (1.42 vs. 1.52 ng/mL, P = 0.031). WDFY4 specifically increased in LN (666.59 vs. 594.57 pg/mL, P < 0.001) without systemic SLE alterations. Machine learning models incorporating these biomarkers demonstrated diagnostic utility, with random forest achieving AUC 0.843 for SLE discrimination and AUC 0.990 for LN prediction. LN patients concurrently exhibited distinct immune dysregulation (reduced IL-6/IL-17 and elevated TNF-α/IL-18) and renal metabolic impairment. These findings position PHLDB1 as a systemic SLE biomarker and WDFY4 as a LN-specific blood indicator, showing promise for clinical subtyping applications. Further validation of these stratified biomarkers is warranted.
Conclusion:
Our results confirm a correlation between the serum levels of PHLDB1 and the occurrence of SLE.
Related Concept Videos
Predicting Molecular Geometry
Asthma: Pathogenesis and Management
Asthma is classified as allergic and non-allergic. Allergens such as dust mites, pollen, and pet dander trigger allergic asthma, while factors like cold air, intense emotions, or exercise can induce non-allergic asthma.
Cystic Fibrosis: Pathogenesis
CF is primarily caused by a genetic mutation in a chromosome 7 gene coding for the cystic fibrosis transmembrane conductance regulator (CFTR) protein. The most common gene mutation leading to CF is the ΔF508 mutation,...
Pulmonary Hypertension: Classification and Pathogenesis
There are various classifications for PH, each relating to different underlying causes and also...
COPD: Pathogenesis and Clinical Features
The primary cause for the onset of COPD is cigarette smoking and exposure to air pollution. These hazardous factors initiate a chain reaction within the lungs, resulting in chronic inflammation, damage to the airways, and a...
Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.

