Objective: To establish a quantitative mathematical model of Shen-deficiency syndrome of TCM by utilizing whole-genome transcriptional profiles.
Methods: The 4, 10, 18, 24 months old SD rats were used, 24-months aged rats intervened by Epimedium Flavonoids (EF) were adopted in the experiment. Rats' hypothalamus, pituitary, adrenal, lymphocytes, bone, liver, and kidney, and spleen were taken for determining whole-genome mRNA expression with gene chip, and a quantitative nerve network model was established by utilizing the gene expression profile of different aged rats, then the model was used to evaluate the effects of EF on Shen-deficiency syndrome.
Results: Totally 199 genes showing age-dependent characteristics were screened out from the 7 kinds of tissue, most of them were neuro-endocrine immune related genes. Evaluation based on the mathematical model showed the age of hypothalamus, pituitary, adrenal, liver, kidney, bone, and spleen in the 24-months rats after EF intervention was 12.64, 10.87, 8.10, 12.70, 11.93, 13.14, and 10.13 months, respectively.
Conclusion: A quantitative mathematical model can be established based on the gene expression profile, it is suitable for estimating the efficacy of Shen-tonifying drugs. EF can make the gene expression of elder close to the young state, suggesting that EF has action in improving Shen-deficiency syndrome and delaying senescence.
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J Struct Biol
January 2025
Center of Structural Biology, Vanderbilt University, Nashville, TN, USA; Department of Chemistry, Vanderbilt University, Nashville, TN, USA; Institute for Drug Discovery, Institute for Computer Science, Wilhelm Ostwald Institute for Physical and Theoretical Chemistry, University Leipzig, Leipzig, Germany; Center for Scalable Data Analytics and Artificial Intelligence ScaDS.AI and School of Embedded Composite Artificial Intelligence SECAI, Dresden/Leipzig, Germany; Department of Pharmacology, Institute of Chemical Biology, Center for Applied Artificial Intelligence in Protein Dynamics, Vanderbilt University, Nashville, TN, USA. Electronic address:
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Interdisciplinary Lab for Mathematical Ecology and Epidemiology & Department of Mathematical and Statistical Sciences, University of Alberta, Canada. Electronic address:
Prompt and accurate monitoring of cyanobacterial blooms is essential for public health management and understanding aquatic ecosystem dynamics. Remote sensing, in particular satellite observations, presents a good alternative for continuous monitoring. This study employs multispectral images from the Sentinel-2 constellation alongside ERA5-Land to enable broad-scale data acquisition.
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The ability of environmental cues to trigger alcohol-seeking behaviours is thought to facilitate problematic alcohol use. Individuals' tendency to attribute incentive salience to cues may increase the risk of addiction. We sought to study the relationship between incentive salience and alcohol addiction using non-preferring rats to model the heterogeneity of human alcohol consumption, investigating both males and females.
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