Automated Author ProfileMasaki, M.
Masaki, M.
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: 4.0 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Background/Aims: The prevalence of lifestyle-related chronic diseases is increasing and gene-diet interaction studies are limited among the Malaysian population. This study was conducted to evaluate the association and interaction effects of vascular endothelial growth factor receptor-2(VEGFR2) gene polymorphisms and dietary patterns on anthropometric and biochemical risk factors of chronic diseases in 179 Chinese Malaysian adults. Methods: Genotyping of rs1870377 and rs2071559 was performed by real-time PCR using TaqMan probes. Dietary patterns were constructed from the food frequency questionnaire using factor analysis. Anthropometric measurements: body mass index (BMI), systolic and diastolic blood pressure and biomarkers: blood glucose, glycated hemoglobin A1c (HbA1c) and lipids were obtained. Results: Two dietary patterns: ‘Balanced diet’ and ‘Meat, rice and noodles diet’ (MRND) were extracted. MRND was associated with higher BMI, blood pressure, blood glucose and lipids, while T alleles in both rs1870377 and rs2071559 were associated with higher blood lipids (p < 0.05). The interaction of MRND and rs1870377 had a borderline effect on blood HbA1c after adjusting for confounders (p = 0.057). Conclusions: A dietary pattern of MRND and VEGFR2 gene polymorphisms were both associated with increased health risks of lifestyle-related chronic diseases particularly blood glucose and lipid levels in Chinese Malaysian adults.
Authors
- Yap R.W.K. ;
- Shidoji, Y. ;
- Hon, W.M. ;
- Masaki, M.
Background/Aims: The prevalence of lifestyle-related chronic diseases is increasing and gene-diet interaction studies are limited among the Malaysian population. This study was conducted to evaluate the association and interaction effects of vascular endothelial growth factor receptor-2(VEGFR2) gene polymorphisms and dietary patterns on anthropometric and biochemical risk factors of chronic diseases in 179 Chinese Malaysian adults. Methods: Genotyping of rs1870377 and rs2071559 was performed by real-time PCR using TaqMan probes. Dietary patterns were constructed from the food frequency questionnaire using factor analysis. Anthropometric measurements: body mass index (BMI), systolic and diastolic blood pressure and biomarkers: blood glucose, glycated hemoglobin A1c (HbA1c) and lipids were obtained. Results: Two dietary patterns: ‘Balanced diet’ and ‘Meat, rice and noodles diet’ (MRND) were extracted. MRND was associated with higher BMI, blood pressure, blood glucose and lipids, while T alleles in both rs1870377 and rs2071559 were associated with higher blood lipids (p < 0.05). The interaction of MRND and rs1870377 had a borderline effect on blood HbA1c after adjusting for confounders (p = 0.057). Conclusions: A dietary pattern of MRND and VEGFR2 gene polymorphisms were both associated with increased health risks of lifestyle-related chronic diseases particularly blood glucose and lipid levels in Chinese Malaysian adults.
Authors
- Yap R.W.K. ;
- Shidoji, Y. ;
- Hon, W.M. ;
- Masaki, M.