Automated Author ProfileSheng, Wenru
Sheng, Wenru
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 4.9 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The role of lipid-lowering drugs in chronic obstructive pulmonary disease (COPD) is controversial in clinical studies. This study aimed to explore the causal relationship between lipid-lowering drugs and COPD from a genetic perspective, and to evaluate the potential effects of this relationship. Four hundred and thirty-one lipid-related phenotypes and two COPD datasets were obtained from Genome-Wide Association Studies (GWAS) and analysed together using Mendelian randomization (MR). Genetic variants associated with genes encoding targets of lipid-lowering drugs were extracted from the Global Lipid Genetics Consortium. Expression quantitative trait loci data in relevant tissues were adopted to validate lipid-lowering drug targets that reached significance. We found that four lipid abnormalities were associated with COPD risk. Genetically proxied inhibition of HMG-CoA reductase (HMGCR) and PCSK9 is associated with an increased risk of COPD. And there is a significant MR correlation between increased whole blood HMGCR expression and COPD. HMGCR and PCSK9 inhibitors are associated with onset of COPD, lung function, and COPD-associated infections. Mediation analyses were performed to explore potential mediators of how genetically proxied inhibition of HMGCR and PCSK9 influences the risk of COPD through different immune cell phenotypes and inflammatory factor levels. Our findings indicate a potential link between the use of HMGCR and PCSK9 inhibitors and increased risk of COPD and exacerbation of COPD phenotypes. This suggests effects beyond LDL-C modulation, potentially involving immune cell function and inflammatory factors.
Authors
- Luan, Hao ;
- Wang, Tianhua ;
- Wang, Rui ;
- Wang, Yu ;
- Liu, Yu ;
- Sheng, Wenru ;
- Guo, Jiaqi ;
- Ji, Haotian ;
- Liu, Xiufeng ;
- Xue, Xiqing ;
- Tseng, Yiider
The role of lipid-lowering drugs in chronic obstructive pulmonary disease (COPD) is controversial in clinical studies. This study aimed to explore the causal relationship between lipid-lowering drugs and COPD from a genetic perspective, and to evaluate the potential effects of this relationship. Four hundred and thirty-one lipid-related phenotypes and two COPD datasets were obtained from Genome-Wide Association Studies (GWAS) and analysed together using Mendelian randomization (MR). Genetic variants associated with genes encoding targets of lipid-lowering drugs were extracted from the Global Lipid Genetics Consortium. Expression quantitative trait loci data in relevant tissues were adopted to validate lipid-lowering drug targets that reached significance. We found that four lipid abnormalities were associated with COPD risk. Genetically proxied inhibition of HMG-CoA reductase (HMGCR) and PCSK9 is associated with an increased risk of COPD. And there is a significant MR correlation between increased whole blood HMGCR expression and COPD. HMGCR and PCSK9 inhibitors are associated with onset of COPD, lung function, and COPD-associated infections. Mediation analyses were performed to explore potential mediators of how genetically proxied inhibition of HMGCR and PCSK9 influences the risk of COPD through different immune cell phenotypes and inflammatory factor levels. Our findings indicate a potential link between the use of HMGCR and PCSK9 inhibitors and increased risk of COPD and exacerbation of COPD phenotypes. This suggests effects beyond LDL-C modulation, potentially involving immune cell function and inflammatory factors.
Authors
- Luan, Hao ;
- Wang, Tianhua ;
- Wang, Rui ;
- Wang, Yu ;
- Liu, Yu ;
- Sheng, Wenru ;
- Guo, Jiaqi ;
- Ji, Haotian ;
- Liu, Xiufeng ;
- Xue, Xiqing ;
- Tseng, Yiider