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Recent trends suggest that Chinese herbal medicine formulas (CHM formulas) are promising treatments for complex diseases. To characterize the precise syndromes, precise diseases and precise targets of the precise targets between complex diseases and CHM formulas, we developed an artificial intelligence-based quantitative predictive algorithm (DeepTCM). DeepTCM has gone through multilevel model calibration and validation against a comprehensive set of herb and disease data so that it accurately captures the complex cellular signaling, molecular and theoretical levels of traditional Chinese medicine (TCM). As an example, our model simulated the optimal CHM formulas for the treatment of coronary heart disease (CHD) with depression, and through model sensitivity analysis, we calculated the balanced scoring of the formulas. Furthermore, we constructed a biological knowledge graph representing interactions by associating herb-target and gene-disease interactions. Finally, we experimentally confirmed the therapeutic effect and pharmacological mechanism of a novel model-predicted intervention in humans and mice. This novel multiscale model opened up a new avenue to combine “disease syndrome” and “macro micro” system modeling to facilitate translational research in CHM formulas.

Objective: Intraventricular hemorrhage (IVH) causes morbidity and mortality in preterm infants and prenatal exposure to inflammation contributes to brain injury. Moreover, prenatal exposure to severe inflammation increases the risk of IVH in preterm neonates. The current study investigated whether intrauterine exposure to inflammation affects cerebral angiogenesis and its underlying mechanisms., Methods: Wnt5a, flt1, and vascular endothelial growth factor (VEGF)-A levels in cord blood serum (stored in a bio-bank) of the enrolled patients were measured via enzyme-linked immunosorbent assay. A preterm prenatal inflammation exposure model was established in rats by intraperitoneal injection intraperitoneally during pregnancy. Angiogenesis of cerebral tissue was analyzed using immunohistochemistry. Wnt5a, flt1, and VEGF-A expression levels were measured via immunohistochemistry, immunofluorescence, or western blotting. The correlation between Wnt5a and flt1 expression and the cerebral vessel area was also analyzed., Results: The Wnt5a and flt1 levels in the cord blood serum were significantly higher in the amnionitis group than in the non-amnionitis group. The VEGF-A level in the cord blood serum was significantly lower in the amnionitis group. In the rat model, preterm rats in the prenatal inflammation group exhibited increased microglial cell infiltration and decreased vessel area and diameter in the cerebral tissue compared to the control group. Wnt5a was located in microglial cells, and Wnt5a and flt1 expression in brain tissue significantly increased after prenatal lipopolysaccharide (LPS) exposure. VEGF-A expression declined after prenatal LPS exposure. The cerebral vessel area was negatively correlated with Wnt5a and flt1 expression., Conclusion: Disordered cerebral angiogenesis is associated with increased Wnt5a-Flt1 activation in microglial cells after exposure to intrauterine inflammation., Competing Interests: Conflict of interest The authors report that there are no conflicts of interest., (Copyright © 2023 Taiwan Pediatric Association. Published by Elsevier B.V. All rights reserved.)