Automated Organization ProfileUniversity of Pittsburgh Medical Center
University of Pittsburgh Medical Center
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization'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: 110.0 (sum of 184 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Over 40% of Samoans have at least one copy of the minor A allele at rs373863828 in CREB3 regulatory factor (CREBRF), which is associated with increased BMI but decreased odds of type 2 diabetes mellitus. The mechanisms underlying this paradoxical effect remain unknown. We hypothesized that gut microbiota may play a role and examined associations between CREBRF genotype and gut microbial diversity and composition among Samoan infants. Fecal samples were collected from Samoan infants aged 0 (n=23), 4 (n=20), and 21 (n=27) months. Microbiota community structure was analyzed using 16S rRNA bacterial gene sequencing. Both cross-sectional and longitudinal analyses revealed no associations between CREBRF genotype and overall microbiome composition or diversity at 0 or 4 months. Cross-sectional analysis at 21 months revealed a significant association between genotype and unweighted UniFrac distances (F1,24=1.855, R2=0.072, p=0.015). Longitudinal differential abundance analysis also revealed several differentially abundant taxa at 21 months. Notably, the AG genotype was associated with lower relative abundance of Escherichia Shigella (β=-6.741, SE=2.243, p=.004, q=.042). Significant genotype differences in gut microbiome composition and diversity at 21 months suggest that gut microbiota may be involved in relationships between CREBRF genotype and metabolic health. No genotype differences were observed at 0 or 4 months, suggesting that environmental and/or maternal variables have a greater influence on the gut microbiome in early infancy, and genotype effects emerge later. Further research should examine whether genotype differences in gut microbiota are associated with functional differences in metabolic or immune signaling pathways or energy extraction.
Authors
- Oyama, Sakurako ;
- Arslanian, Kendall ;
- Savo Sardaro, Maria Luisa ;
- Duckham, Rachel ;
- Kershaw, Erin ;
- Wood, Ashlee ;
- Fidow, Ulai ;
- Naseri, Take ;
- Reupena, Muagututia ;
- Amato, Katherine ;
- Hawley, Nicola
Supplementary table for JAAD brief report entitled: "A Survey Study on Patient Perspectives and Knowledge of Integrative Health in the Specialty of Dermatology" including all survey questions used in the study.
Authors
- Sadur, Alana ;
- Sultana, Esha ;
- Curbelo-Paz, Alejandra ;
- Hackley, Madison ;
- Choudhary, Sonal
Supplementary table for JAAD brief report entitled: "A Survey Study on Patient Perspectives and Knowledge of Integrative Health in the Specialty of Dermatology" including all survey questions used in the study.
Authors
- Sadur, Alana ;
- Sultana, Esha ;
- Curbelo-Paz, Alejandra ;
- Hackley, Madison ;
- Choudhary, Sonal
Supplemental material
Authors
- Lin, Alice ;
- Le, Thomas ;
- Guerrero, Angela
Supplemental material
Authors
- Lin, Alice ;
- Le, Thomas ;
- Guerrero, Angela
CSV file: Prosessed de-identified proteomics data of a sub-cohort of pateints from the SWAT observational studyzip folder: SomaLogic adat file and measurment infomration on the same study
Authors
- Moheimani, Hamed
CSV file: Prosessed de-identified proteomics data of a sub-cohort of pateints from the SWAT observational studyzip folder: SomaLogic adat file and measurment infomration on the same study
Authors
- Moheimani, Hamed
No description available
Authors
- ;
No description available
Authors
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