Automated Author ProfileTomidokoro, Yuichi
Tomidokoro, Yuichi
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: 1.6 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Nasal polyps (NP) contribute to treatment resistance in chronic rhinosinusitis with nasal polyps (CRSwNP); however, the cellular and molecular mechanisms underlying nasal polypogenesis are not completely understood. To investigate whether the characteristics of fibroblasts differ under the surrounding tissue environment. Patients with CRSwNP were divided into two groups based on the eosinophil infiltration in the NP; the gene expression levels were evaluated. Fibroblasts established from NP were assessed for functional changes following cytokine stimulation, and RNA sequencing (RNA-seq) was performed. IL5 and IL13 expression was higher, and IFNG and TNF lower, in NP from eosinophilic CRS (ECRS) patients compared to non-ECRS. FOXP3 expression was significantly upregulated in ECRS patients. Cytokine-stimulated fibroblasts from both ECRS and non-ECRS showed similar expression of fibroblast-to-myofibroblast transition-related genes and significantly reduced migratory capacity following IL-13 and TNF-α treatment. RNA sequencing revealed six and thirty-five significant activated and inactivated signaling pathways, respectively, in the Diseases Bio Functions analysis. Fibroblasts contribute to nasal polypogenesis irrespective of inflammation type in CRSwNP. Although their behavior is regulated by the immune microenvironment, our findings also highlight fibroblasts as potential therapeutic targets, supporting both endotypic classification and novel treatment strategies.
Authors
- Matsuyama, Toshiyuki ;
- Kawabata-Iwakawa, Reika ;
- Takahashi, Hideyuki ;
- Tomidokoro, Yuichi ;
- Motegi, Masaomi ;
- Chikamatsu, Kazuaki
Nasal polyps (NP) contribute to treatment resistance in chronic rhinosinusitis with nasal polyps (CRSwNP); however, the cellular and molecular mechanisms underlying nasal polypogenesis are not completely understood. To investigate whether the characteristics of fibroblasts differ under the surrounding tissue environment. Patients with CRSwNP were divided into two groups based on the eosinophil infiltration in the NP; the gene expression levels were evaluated. Fibroblasts established from NP were assessed for functional changes following cytokine stimulation, and RNA sequencing (RNA-seq) was performed. IL5 and IL13 expression was higher, and IFNG and TNF lower, in NP from eosinophilic CRS (ECRS) patients compared to non-ECRS. FOXP3 expression was significantly upregulated in ECRS patients. Cytokine-stimulated fibroblasts from both ECRS and non-ECRS showed similar expression of fibroblast-to-myofibroblast transition-related genes and significantly reduced migratory capacity following IL-13 and TNF-α treatment. RNA sequencing revealed six and thirty-five significant activated and inactivated signaling pathways, respectively, in the Diseases Bio Functions analysis. Fibroblasts contribute to nasal polypogenesis irrespective of inflammation type in CRSwNP. Although their behavior is regulated by the immune microenvironment, our findings also highlight fibroblasts as potential therapeutic targets, supporting both endotypic classification and novel treatment strategies.
Authors
- Matsuyama, Toshiyuki ;
- Kawabata-Iwakawa, Reika ;
- Takahashi, Hideyuki ;
- Tomidokoro, Yuichi ;
- Motegi, Masaomi ;
- Chikamatsu, Kazuaki