WormCNN-Assisted Establishment and Analysis of Glycation Stress Models in C. elegans: Insights into Disease and Healthy Aging
Abstract
:1. Introduction
2. Results
2.1. Lifespan Dataset Collection and Image Reshaping of C. elegans in a 384-Well Plate
2.2. Elderly Classification and Regression Model with WormCNN
2.3. GS Modeling in C. elegans
2.4. GS Induces Premature Aging in C. elegans
3. Discussion
4. Materials and Methods
4.1. Maintenance and Experimental Setup for C. elegans
4.1.1. Culturing Worms
4.1.2. Glycation Induction in Bacterial Cultures
4.1.3. Detection of Advanced Glycation End-Products (AGEs)
4.1.4. GS Model in C. elegans
4.1.5. RT-qPCR Analysis
4.2. Worm Imaging Collection and Analysis
4.2.1. Worm Image Collection
4.2.2. Segmentation of Worms
4.2.3. Worms Image Extraction and Reconstruction
4.3. WormCNN Architecture
4.3.1. Convolutional Layers
4.3.2. Residual Block
4.3.3. Global Average Pooling
4.3.4. Fully Connected Layer
4.4. Training Procedure
4.5. Model Validation
4.6. Statistical Analysis
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Metric | Value |
---|---|
True Positive (TP) | 35,610 |
False Positive (FP) | 7527 |
True Negative (TN) | 12,932,412 |
False Negative (FN) | 579 |
Sensitivity (TPR) | 98.40% |
Specificity (TNR) | 99.94% |
Overall Accuracy | 99.94% |
Precision (PPV) | 82.55% |
F1-Score | 89.78% |
Metric | Value |
---|---|
True Positives (TP) | 54,100 |
False Positives (FP) | 1509 |
True Negatives (TN) | 547,099 |
False Negatives (FN) | 10,640 |
True Positive Rate (TPR) | 83.6% |
Precision (PPV) | 97.3% |
Specificity (TNR) | 99.72% |
Overall Accuracy | 98.0% |
F1-Score | 89.91% |
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Pan, Y.; Huang, Z.; Cai, H.; Li, Z.; Zhu, J.; Wu, D.; Xu, W.; Qiu, H.; Zhang, N.; Li, G.; et al. WormCNN-Assisted Establishment and Analysis of Glycation Stress Models in C. elegans: Insights into Disease and Healthy Aging. Int. J. Mol. Sci. 2024, 25, 9675. https://doi.org/10.3390/ijms25179675
Pan Y, Huang Z, Cai H, Li Z, Zhu J, Wu D, Xu W, Qiu H, Zhang N, Li G, et al. WormCNN-Assisted Establishment and Analysis of Glycation Stress Models in C. elegans: Insights into Disease and Healthy Aging. International Journal of Molecular Sciences. 2024; 25(17):9675. https://doi.org/10.3390/ijms25179675
Chicago/Turabian StylePan, Yan, Zhihang Huang, Hongxia Cai, Zhiru Li, Jingyuan Zhu, Dan Wu, Wentao Xu, Hexiang Qiu, Nan Zhang, Guojun Li, and et al. 2024. "WormCNN-Assisted Establishment and Analysis of Glycation Stress Models in C. elegans: Insights into Disease and Healthy Aging" International Journal of Molecular Sciences 25, no. 17: 9675. https://doi.org/10.3390/ijms25179675