Kong et al. reported that combined analysis using WGCNA and machine-learning algorithms (LASSO, SVM-RFE, and RF) identified CHCHD4, TMEM53, ACPP, AASDH, P2RY1, CASP3, and AQP7 as potential biomarkers for HF based on the GSE57338 dataset (53). This evidence concerns the gene ACP3 and hydrops fetalis.