Discovery of TAS2R14 Agonists from Platycodon grandiflorum Using Virtual Screening and Affinity Screening Based on a Novel TAS2R14-Functionalized HEMT Sensor Combined with UPLC-MS Analysis

Discovery of anti-allergic components in Guomingkang Formula using sensitive HEMT biochips coupled with in vitro and in vivo validation

BACKGROUND

Allergic rhinitis (AR) is a prevalent allergic disease, which seriously affects the sufferers' life quality and increases the socioeconomic burden. Guominkang (GMK), a well-known prescription for AR treatment, showed satisfactory effects; while its anti-allergic components remain to be disclosed. AlGaN/GaN HEMT biochip is more sensitive and cost-effective than other binding equipments, indicating its great potential for screening of active ingredients from herbal medicines.

METHODS

AR mouse models were first established to test the anti-allergic effect of GMK and discover the ingredients absorbed into blood by ultra-high performance liquid chromatography-mass spectra (UHPLC-MS). Then, novel Syk/Lyn/Fyn-functionalized high electron mobility transistor (HEMT) biochips with high sensitivity and specificity were constructed and applied to screen the active components. Finally, the results from HEMT biochips screening were validated via in silico (molecular docking and molecular dynamics simulation), in vitro (RBL-2H3 cells), and in vivo (PCA mice model) assays.

RESULTS

GMK showed a potent therapeutic effect on AR mice, and fifteen components were identified from the medicated plasma. Furthermore, hamaudol was firstly found to selectively inhibit the Syk and Lyn, and emodin was to selectively inhibit Lyn, which were further confirmed by isothermal titration calorimetry, molecular docking, and molecular dynamics simulation analyses. Suppression of the activation of FcεRI-MAPK signals might be the possible mechanism of the anti-allergic effect of hamaudol.

CONCLUSIONS

The targets of emodin and hamaudol were discovered by HEMT biochips for the first time. This study provided a novel and effective strategy to discover active components in a complex herbal formula by using AlGaN/GaN HEMT biochips.

Gut fungi differentially response to the antipyretic (heat-clearing) and diaphoretic (exterior-releasing) traditional Chinese medicines in Coptis chinensis-conditioned gut microbiota

Antipyretic (heat-clearing) and diaphoretic (exterior-releasing) drugs are two main groups of traditional Chinese medicines (TCMs) possessing anti-microbes and anti-inflammation effects, with the former mainly through clearing pyrogens while the latter through promoting diaphoresis. Although anti-microorganism is a common action of these two kinds of TCMs, their difference in antimicrobial spectrums and their interactions when combinedly used remain unclear. Herein, we prepared aqueous extracts from Coptis chinensis (HL) and other antipyretic or diaphoretic TCMs, orally administrated them to C57BL/6 mice at a clinical dose for fourteen days, and analyzed their impaction on both gut bacteria and fungi using full-length 16 S rRNA gene sequencing and internal transcribed spacer 1/2 (ITS1/2) gene sequencing, respectively. Oral administration of HL significantly changed the structure of gut bacteria but showed little influence on gut fungi. Co-treatment with antipyretic or diaphoretic TCMs alleviated the impact of HL on gut bacteria to a similar degree. However, combined with either heat-clearing or exterior-releasing TCMs significantly strengthened the influence of HL on gut fungi, with the latter superior to the former. The antipyretic TCMs enriched Penicillium spp. while diaphoretic TCMs promoted Fusarium spp. Further analysis revealed that the diaphoretic TCMs-enriched fungi Fusarium spp. were positively related to Akkermansia spp., a beneficial bacterium that interacts with Toll-like receptor 4 (TLR4) and regulates thermogenesis, thus providing a potential linkage with their pro-diaphoresis effect. Together, our results reveal that gut fungi differentially respond to the impact of heat-clearing and exterior-releasing TCMs on Coptis chinensis-conditioned gut microbiota, which provides insights into their functional characteristics.

Development of MIF/IL-1β biosensors for discovery of critical quality attributes and potential allergic rhinitis targets from clinical real-world data by intelligent algorithm coupled with in vitro and vivo mechanism validation

There are still huge challenges from clinical real-world data to accurate targets and critical quality attributes (CQAs) for effective treatment of allergic rhinitis (AR). Here, we present a novel integrated strategy that biosensors and intelligent algorithms were used to angle AR targets and CQAs from clinical real world. Firstly, bagging and boosting partial least squares discrimination analysis (PLS-DA) and Monte-Carlo sampling were proposed to screen accurate AR targets. Macrophage migration inhibitory factor (MIF) and Interleukin-1beta (IL-1β) potential targets were obtained based on large-scale analysis of one thousand proteins and in-depth precise screening of seventy proteins. Furthermore, high electron mobility transistor (HEMT) biosensors were fabricated and successfully modified by MIF and IL-1β potential targets with a low detection concentration as 1 pM and quantitative range from 1 pM to 10 nM. Surprisingly, through MIF/IL-1β biosensors, we angled 5-O-methylvisammioside, amygdalin, and cimicifugoside three CQAs. The strong interaction was discovered among three CQAs and MIF/IL-1β biosensors with almost all K_D up to 10^-11 M. Finally, interaction among three CQAs and MIF/IL-1β biosensors were evaluated by in vitro and vivo experiments. In this paper, two critical potential targets and three effective CQAs for AR treatment were discovered and validated by biosensor and advanced algorithms. It provides a superior integrated idea for angling critical targets and CQAs from clinical real-world data by biosensors and informatics.

In silico-determined compound from the root of Pueraria lobate alleviates synaptic plasticity injury induced by Alzheimer's disease via the p38MAPK-CREB signaling pathway

Pueraria lobata is utilized as a food source in China. The aim of this study is to combine virtual screening and molecular dynamics predictive model to screen out the potential synaptic plasticity-maintaining components from the root of P. lobate and to verify it by employing the amyloid β-injected rats' model. Eighteen compounds were identified by HPLC-MS/MS; puerarin manifested the most potential to form a stable complex with calcium/calmodulin kinase IIα (CaMK IIα), which is the key protein in synaptic plasticity by the in silico study. The further in vivo assay showed that puerarin could elevate the synaptic thickness, density, and length, relieve calcium overload, regulate the expression of CaMK IIα, and other p38MAPK-CREB signaling pathway-related biochemical criteria. The behavioral test also verified the results. Results have confirmed that the root of P. lobate can work anti-AD by maintaining the synaptic plasticity and proved the reliability of using the in silico predictive model to determine active ingredients from the natural product.