Yuanyuan Leng
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Yuanyuan Leng has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Jun Liu
Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China
1 shared publication - Shuang Guan
Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China
1 shared publication - Sicun Wang
Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China
1 shared publication - Yanan Yu
Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China
1 shared publication - Yinli Shi
Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China
1 shared publication - Zhong Wang
Institute of Basic Research in Clinical Medicine China Academy of Chinese Medical Sciences Beijing China
1 shared publication
Latest Publications
- Open Access
A Phenome-Wide Comparative Analysis of Individualized Network Heterogeneity Across Treatment-Response Subphenotypes in Coronary Heart Disease
To address the heterogeneity in treatment effects (HTE) in precision medicine for coronary heart disease (CHD), we employed an individualized network analysis framework (Pheno-NM) to elucidate the molecular mechanisms of HTE in patients treated with Danhong injection (DHI). We integrated clinical phenotyping and transcriptomic data to identify three efficacy-based subgroups. The best-responding subgroup (D(+)S(+)) displayed the most complex gene network, with its key hub gene ORM1 linked to platelet activation. Individualized network analysis revealed that patient-specific symptom improvement correlated with unique functional module connectivity and gene expression variations (e.g., HSBP1L1 and KCNG2). Furthermore, six core network topological parameters significantly correlated with treatment efficacy and differed between subgroups (p < 0.05), alongside significant differential expression of genes such as IQCD and MTFR1. This work establishes a novel joint phenotype-genetic network modeling paradigm, providing a molecular framework for HTE and paving the way for precise, personalized cardiovascular interventions by revealing patient-specific network architectures.
Open AccessA Phenome-Wide Comparative Analysis of Individualized Network Heterogeneity Across Treatment-Response Subphenotypes in Coronary Heart Disease
To address the heterogeneity in treatment effects (HTE) in precision medicine for coronary heart disease (CHD), we employed an individualized network analysis framework (Pheno-NM) to elucidate the molecular mechanisms of HTE in patients treated with Danhong injection (DHI). We integrated clinical phenotyping and transcriptomic data to identify three efficacy-based subgroups. The best-responding subgroup (D(+)S(+)) displayed the most complex gene network, with its key hub gene ORM1 linked to platelet activation. Individualized network analysis revealed that patient-specific symptom improvement correlated with unique functional module connectivity and gene expression variations (e.g., HSBP1L1 and KCNG2). Furthermore, six core network topological parameters significantly correlated with treatment efficacy and differed between subgroups (p < 0.05), alongside significant differential expression of genes such as IQCD and MTFR1. This work establishes a novel joint phenotype-genetic network modeling paradigm, providing a molecular framework for HTE and paving the way for precise, personalized cardiovascular interventions by revealing patient-specific network architectures.