Network pharmacology analysis of the regulatory effects and mechanisms of ALAE on sow reproduction in vivo and in vitro.

ETHNOPHARMACOLOGICAL RELEVANCE: Reproductive ability of sows is a primary element influencing the development of pig farming. Herbal extracts of Angelica sinensis (Oliv.) Diels, Astragalus mongholicus Bunge, Eucommia ulmoides Oliv., and Polypodium glycyrrhiza D.C.Eaton showed effects on improvement of reproduction in sows. AIMS OF THE STUDY: To investigate the mechanism of the treatment effects by a compound of these four Chinese herbs in a 1:1:1:1 ratio (ALAE) on endometriosis, endometritis, uterine adhesion, intrauterine growth retardation, pre-eclampsia, and its enhancement of reproductive efficiency in sows. MATERIALS AND METHODS: Active components of ALAE were identified by using ultra-performance liquid chromatography-mass spectrometry analysis and network pharmacology. Then we used the results to construct a visualization network. Key targets and pathways of ALAE involved in sow reproduction improvement were validated in sow animals and porcine endometrial epithelial cells (PEECs). RESULTS: A total of 62 active compounds were found in ALAE (41 in Polypodium glycyrrhiza D.C.Eaton, 5 in Astragalus mongholicus Bunge, 11 in Eucommia ulmoides Oliv., 5 in Angelica sinensis (Oliv.) Diels) with 563 disease-related targets (e.g. caspase-3, EGFR, IL-6) involved in EGFR tyrosine kinase inhibitor resistance, PI3K-AKT, and other signaling pathways. Molecular docking results indicated GC41 (glabridin), GC18 (medicarpin), EGFR and CCND1 are possible key components and target proteins related to reproductive improvement in sows. In PEECs, EGFR expression decreased at the mRNA and protein levels by three doses (160, 320, and 640 µg/mL) of ALAE. The phosphorylation of downstream pathway PI3K-AKT1 was enhanced. The expression of inflammatory factors (IL-6, IL-1ß), ESR1 and caspase-3 decreased through multiple pathways. Additionally, the expression levels of an anti-inflammatory factor (IL-10), angiogenesis-related factors (MMP9, PIGF, PPARγ, IgG), and placental junction-related factors (CTNNB1, occludin, and claudin1) increased. Furthermore, the total born number of piglets, the number of live and healthy litters were significantly increased. The number of stillbirths decreased by ALAE treatment in sow animals. CONCLUSIONS: Dministration of ALAE significantly increased the total number of piglets born, the numbers of live and healthy litters and decreased the number of stillbirths through improving placental structure, attenuating inflammatory response, modulating placental angiogenesis and growth factor receptors in sows. The improvement of reproductive ability may be related to activation of the EGFR-PI3K-AKT1 pathway in PEECs. Moreover, ALAE maybe involved in modulation of estrogen receptors, apoptotic factors, and cell cycle proteins.

Higher anxiety rating does not mean poor speech performance: dissociation of the neural mechanisms of anticipation and delivery of public speaking.

Public speaking anxiety refers to feelings of nervousness when anticipating or delivering a speech. However, the relationship between anxiety in the anticipation phase and speech delivery phase is unclear. In this study, we used functional near-infrared spectroscopy to record participants' brain activities when they were anticipating or performing public speaking tasks in an immersive virtual reality environment. Neuroimaging results showed that participants' subjective ratings of public anxiety in the anticipation phase but not the delivery phase were correlated with activities in the dorsolateral prefrontal cortex, the inferior frontal gyrus, and the precentral and postcentral gyrus. In contrast, their speaking performance could be predicted by activities in the temporal gyrus and the right postcentral gyrus in the delivery phase. This suggests a dissociation in the neural mechanisms between anxiety in preparation and execution of a speech. The conventional anxiety questionnaire is a good predictor of anticipatory anxiety, but cannot predict speaking performance. Using virtual reality to establish a situational test could be a better approach to assess in vivo public speaking performance.