Automated Author Profile

Zhang, Dongxi

Current S-Index

2.6

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.9

Average Dataset Index per dataset

Total Datasets

3

Total datasets for this author

Average FAIR Score

84.6%

Average FAIR Score per dataset

Total Citations

3

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Causal Links between Immune Cells and Asthma: Insights from a Mendelian Randomization Analysis

Recent studies suggest immunophenotypes may play a role in asthma, but their causal relationship has not been thoroughly examined. We used single nucleotide polymorphism (SNP)-derived instrumental variables. Summary data from 731 immune cell profiles and asthma cases were analyzed from genome-wide association studies (GWAS) of European populations. Mendelian Randomization (MR) analyses included inverse variance weighted (IVW), weighted median, and MR–Egger methods. Pleiotropy was assessed using the MR-Egger intercept and MR pleiotropy residual sum and outlier (MR-PRESSO) tests. Reverse MR analysis explored bidirectional causation between asthma and immunophenotypes. All statistical analyses were conducted using R software. MR analysis identified 108 immune signatures potentially contributing to asthma. Two immunophenotypes were significantly associated with asthma risk: CD4+ secreting Treg cells in allergic asthma (ORIVW =1.078; 95% CI: 1.036–1.122; PIVW =0.0002) and IgD + CD38- %lymphocyte cells in non-allergic asthma (ORIVW =1.123; 95% CI: 1.057–1.194; PIVW =0.0002). This study highlights the causal associations between specific immunophenotypes and asthma risk, providing new insights into asthma pathogenesis.

Authors

  • Xu, Shengshan ;
  • Liang, Jiahua ;
  • Shen, Tao ;
  • Zhang, Dongxi ;
  • Lu, Zhuming
1 Citation0 Mentions85% FAIR0.9 Dataset Index
10.6084/m9.figshare.27015370.v12024

Causal links between immune cells and asthma: Insights from a Mendelian Randomization analysis

Recent studies suggest immunophenotypes may play a role in asthma, but their causal relationship has not been thoroughly examined. We used single nucleotide polymorphism (SNP)-derived instrumental variables. Summary data from 731 immune cell profiles and asthma cases were analyzed from genome-wide association studies (GWAS) of European populations. Mendelian Randomization (MR) analyses included inverse variance weighted (IVW), weighted median, and MR–Egger methods. Pleiotropy was assessed using the MR-Egger intercept and MR pleiotropy residual sum and outlier (MR-PRESSO) tests. Reverse MR analysis explored bidirectional causation between asthma and immunophenotypes. All statistical analyses were conducted using R software. MR analysis identified 108 immune signatures potentially contributing to asthma. Two immunophenotypes were significantly associated with asthma risk: CD4+ secreting Treg cells in allergic asthma (ORIVW = 1.078; 95% CI: 1.036–1.122; PIVW = 0.0002) and IgD + CD38− %lymphocyte cells in non-allergic asthma (ORIVW = 1.123; 95% CI: 1.057–1.194; PIVW = 0.0002). This study highlights the causal associations between specific immunophenotypes and asthma risk, providing new insights into asthma pathogenesis.

Authors

  • Xu, Shengshan ;
  • Liang, Jiahua ;
  • Shen, Tao ;
  • Zhang, Dongxi ;
  • Lu, Zhuming
1 Citation0 Mentions85% FAIR0.9 Dataset Index
10.6084/m9.figshare.270153702024

Causal links between immune cells and asthma: Insights from a Mendelian Randomization analysis

Recent studies suggest immunophenotypes may play a role in asthma, but their causal relationship has not been thoroughly examined. We used single nucleotide polymorphism (SNP)-derived instrumental variables. Summary data from 731 immune cell profiles and asthma cases were analyzed from genome-wide association studies (GWAS) of European populations. Mendelian Randomization (MR) analyses included inverse variance weighted (IVW), weighted median, and MR–Egger methods. Pleiotropy was assessed using the MR-Egger intercept and MR pleiotropy residual sum and outlier (MR-PRESSO) tests. Reverse MR analysis explored bidirectional causation between asthma and immunophenotypes. All statistical analyses were conducted using R software. MR analysis identified 108 immune signatures potentially contributing to asthma. Two immunophenotypes were significantly associated with asthma risk: CD4+ secreting Treg cells in allergic asthma (ORIVW = 1.078; 95% CI: 1.036–1.122; PIVW = 0.0002) and IgD + CD38− %lymphocyte cells in non-allergic asthma (ORIVW = 1.123; 95% CI: 1.057–1.194; PIVW = 0.0002). This study highlights the causal associations between specific immunophenotypes and asthma risk, providing new insights into asthma pathogenesis.

Authors

  • Xu, Shengshan ;
  • Liang, Jiahua ;
  • Shen, Tao ;
  • Zhang, Dongxi ;
  • Lu, Zhuming
1 Citation0 Mentions85% FAIR0.9 Dataset Index
10.6084/m9.figshare.27015370.v22024