ObjectiveA qualitative analysis method was established for the composition of Astragali Radix（AR） before and after rice stir-frying. On the basis of systematic characterization of the chemical compositions in AR and stir-fried AR with rice（ARR）， the structures of their major compounds were deduced and identified， and the differential compositions between them were analyzed. MethodsUltra performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS） was used to detect the samples of AR and ARR in positive and negative ion modes， respectively. The compounds were analyzed and identified through self-constructed databases， literature， and reference standards， etc. And the data were analyzed by chemometrics， in order to screen for the differential components between AR and ARR. ResultsA total of 123 compounds were identified in AR and ARR， including 41 flavonoids， 19 terpenoids， 26 organic acids， 8 amino acids， 5 nucleotides， 5 carbohydrates and 19 other compounds. Among them， there were 95 common components in both， 18 unique components in AR， and 10 unique components in ARR. Principal component analysis（PCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA） results both showed that there were significant differences in the chemical constituents of AR before and after rice stir-frying， and a total of 26 constituents with differences in the content were screened out， including L-canavanine， L-pyroglutamic acid， L-phenylalanine， cis-caffeic acid， and malonylastragaloside Ⅰ. Among them， 19 constituents of ARR were down-regulated and 7 constituents were up-regulated by comparing with AR. ConclusionThis study clarifies that the chemical composition of AR and ARR is mainly composed of flavonoids， terpenoids， and organic acids， and analyzes the components with significant differences in content between the two in combination with chemometrics， and the differential components are dominated by amino acids， organic acids and terpenoids， which can provide reference for the subsequent quality control and material basis research.

AIM: To investigate the potential inhibitory effect of pterostilbene on the endothelial-to-mesenchymal transition(EndMT)induced by high glucose conditions in human retinal microvascular endothelial cells(HRMECs).METHODS: The optimal concentration of pterostilbene for treating HRMECs was determined using the CCK-8 assay, with 12.5 and 25 μmol/L concentrations selected for subsequent experiments. Four experimental groups were established: control group, high glucose group, high glucose combined with 12.5 μmol/L pterostilbene treatment group, and high glucose combined with 25 μmol/L pterostilbene treatment group. The expression levels of HDAC7 and EndMT-associated markers were detected via Western blot analysis. Cell migration ability was assessed using Transwell migration assays and scratch wound healing tests, while vasculogenic capability was evaluated through tube formation assays.RESULTS: The CCK-8 assay revealed that pterostilbene at a concentration of 22.07 μmol/L inhibited 50% of cell viability in HRMECs. Western blot analysis demonstrated that compared with the control group, the expression levels of HDAC7, ZEB1, Vimentin, and Snail were significantly upregulated in HRMECs cultured in high glucose(all P<0.01), while the expressions of VE-cadherin and CD31 were significantly reduced(all P<0.01). Compared to the high glucose group, the treatment with 12.5 and 25 μmol/L pterostilbene significantly reduced the expression of HDAC7, ZEB1, Vimentin, and Snail under high glucose conditions(all P<0.01). Notably, 25 μmol/L pterostilbene enhanced the expression of VE-cadherin and CD31(all P<0.01). Scratch wound healing tests revealed that HRMECs treated with high glucose exhibited a significantly increased cell migration rate compared to the control group(P<0.05), while the application of 25 μmol/L pterostilbene significantly suppressed HRMECs migration under high glucose conditions(P<0.01). Transwell migration assays demonstrated that the cell migration rate in the high glucose group was significantly higher than that in the control group(P<0.01), with cell migration rate markedly reduced following treatment with both of 12.5 and 25 μmol/L pterostilbene(all P<0.01). The tube formation assay revealed that the ability of HRMECs to form tubular structures was significantly enhanced under high glucose conditions(P<0.01), and both 12.5 and 25 μmol/L of pterostilbene effectively inhibited this effect(all P<0.01).CONCLUSION: Pterostilbene can inhibit HDAC7 expression, suppress EndMT-mediated migration of HRMECs, and impair tube formation under high-glucose conditions.

AIM: To investigate the potential inhibitory effect of pterostilbene on the endothelial-to-mesenchymal transition(EndMT)induced by high glucose conditions in human retinal microvascular endothelial cells(HRMECs).METHODS: The optimal concentration of pterostilbene for treating HRMECs was determined using the CCK-8 assay, with 12.5 and 25 μmol/L concentrations selected for subsequent experiments. Four experimental groups were established: control group, high glucose group, high glucose combined with 12.5 μmol/L pterostilbene treatment group, and high glucose combined with 25 μmol/L pterostilbene treatment group. The expression levels of HDAC7 and EndMT-associated markers were detected via Western blot analysis. Cell migration ability was assessed using Transwell migration assays and scratch wound healing tests, while vasculogenic capability was evaluated through tube formation assays.RESULTS: The CCK-8 assay revealed that pterostilbene at a concentration of 22.07 μmol/L inhibited 50% of cell viability in HRMECs. Western blot analysis demonstrated that compared with the control group, the expression levels of HDAC7, ZEB1, Vimentin, and Snail were significantly upregulated in HRMECs cultured in high glucose(all P<0.01), while the expressions of VE-cadherin and CD31 were significantly reduced(all P<0.01). Compared to the high glucose group, the treatment with 12.5 and 25 μmol/L pterostilbene significantly reduced the expression of HDAC7, ZEB1, Vimentin, and Snail under high glucose conditions(all P<0.01). Notably, 25 μmol/L pterostilbene enhanced the expression of VE-cadherin and CD31(all P<0.01). Scratch wound healing tests revealed that HRMECs treated with high glucose exhibited a significantly increased cell migration rate compared to the control group(P<0.05), while the application of 25 μmol/L pterostilbene significantly suppressed HRMECs migration under high glucose conditions(P<0.01). Transwell migration assays demonstrated that the cell migration rate in the high glucose group was significantly higher than that in the control group(P<0.01), with cell migration rate markedly reduced following treatment with both of 12.5 and 25 μmol/L pterostilbene(all P<0.01). The tube formation assay revealed that the ability of HRMECs to form tubular structures was significantly enhanced under high glucose conditions(P<0.01), and both 12.5 and 25 μmol/L of pterostilbene effectively inhibited this effect(all P<0.01).CONCLUSION: Pterostilbene can inhibit HDAC7 expression, suppress EndMT-mediated migration of HRMECs, and impair tube formation under high-glucose conditions.

Activity cliffs (ACs) are generally defined as pairs of similar compounds that only differ by a minor structural modification but exhibit a large difference in their binding affinity for a given target. ACs offer crucial insights that aid medicinal chemists in optimizing molecular structures. Nonetheless, they also form a major source of prediction error in structure-activity relationship (SAR) models. To date, several studies have demonstrated that deep neural networks based on molecular images or graphs might need to be improved further in predicting the potency of ACs. In this paper, we integrated the triplet loss in face recognition with pre-training strategy to develop a prediction model ACtriplet, tailored for ACs. Through extensive comparison with multiple baseline models on 30 benchmark datasets, the results showed that ACtriplet was significantly better than those deep learning (DL) models without pre-training. In addition, we explored the effect of pre-training on data representation. Finally, the case study demonstrated that our model's interpretability module could explain the prediction results reasonably. In the dilemma that the amount of data could not be increased rapidly, this innovative framework would better make use of the existing data, which would propel the potential of DL in the early stage of drug discovery and optimization.

Objective To investigate the impact of sleep modes on the risk for diseases of the body systems.Methods Based on a subset of UK Biobank dataset comprising 87 617 participants,3 sleep dimensions including 6 sleep indicators were obtained through a wrist-worn accelerometer,that is sleep duration and onset,sleep rhythm(relative amplitude and stability),and sleep quality(sleep efficiency and number of awakenings).Latent profile analysis(LPA)was applied to identify and classify distinct sleep modes.Then their longitudinal medical records were the association between different sleep modes and the risk for 467 diseases.Results LPA identified 5 subgroups of unique sleep modes in the participants.Among the 5 subgroups,the subgroup 4 had relatively optimal levels in above sleep indicators.Compared to the subgroup 4,the other 4 subgroups exhibited variations in different sleep dimensions,with at least one indicator demonstrating an unfavorable trend.These subgroups also revealed differences in racial composition,shift work and social deprivation index.Moreover,there were notable differences in the risk of various system diseases among the subgroups(P<0.05).When compared to the subgroup 4,the other 4 subgroups exhibited an elevated risk for certain diseases(comprising a total of 126 diseases),with the diseases of the circulatory system,digestive system and musculoskeletal system most common.Among the 5 subgroups,the subgroup 2(shorter sleep duration and later sleep onset)and the subgroup 5(rhythm disorder)had the highest counts of associated risks,amounting to 85 and 91 types,respectively,but there was certain difference in their systematic composition.Conclusion There are different sleep modes within the participants,and the modes are potentially associated with an increased risk for diseases of body systems.Comprehensive interventions targeting overall sleep modes rather than single sleep indicator may yield obvious health benefits.

This paper focuses on extreme environments and systematically analyzes sleep disorders caused by multiple pathogenesis,including circadian rhythm disorder,yin-yang imbalance and qi-blood disorder under weightlessness,emotional depression due to environmental changes,abnormal diet and excretion,and six excesses pathogenic factors,in accordance with the theory of correspondence between nature and human.It proposes harmonizing yin and yang as the core therapeutic principle and guiding framework,with specific methods including calming rebellious qi-blood,regulating qi movement,harmonizing heart and kidney,and dredging and regulating blood vessels,thus forming the"one guiding principle and four specific methods"treatment strategy.Additionally,by integrating the modified application of classic formulas,a diagnostic and therapeutic approach targeting multi-dimensional pathogenesis is established.This study aims to promote the in-depth integration of Traditional Chinese Medicine(TCM)in extreme environmental medicine through TCM theories and innovative application of prescriptions,provide TCM-characterized solutions for health management of workers in extreme environments,and facilitate the transformation of extreme environmental medicine toward the modern medical model of"prevention-treatment integration".

Objective To explore the mechanism of Lkb1 regulated epithelial regeneration in asthma by airway organoid culture.Methods Lkb1f/f(the control group,n=10)and Scgb1a1CreER;Lkb1f/fmice(the Lkb1 knockout group,n=9)were taken to establish allergic asthma models by aerosol inhalation of ovalbumin(OVA).Bronchial lavage fluid(BALF)and lung tissue were collected.The number of inflammatory cells in BALF were counted.The amount of CLCA3 positive cells was compared by immunofluorescence staining of lung tissue sections.Club cells were selected by flow cytometry for organoid culture.The average diameter of organoids and organoid formation rate were calculated.Expression levels of goblet cell marker CLCA3,cilia cell markers FOXJ1 and AMPK in Club cells were detected by RT-PCR.Results There were no significant differences in the number of macrophages,eosinophils,neutrophils and lymphocytes in BALF between the control group and the Lkb1 knockout group.The number of CLCA3 positive cells were decreased after Lkb1 knockout.Results of organoid culture showed that the average diameter of organoids derived from Club cells and organoid formation rate were decreased after the absence of Lkb1.The expression of FOXJ1 was reduced.After Lkb1 deletion,the expression of AMPKα in Club cells were decreased and the proliferation of Club cells was inhibited.Activation of AMPK,the downstream signaling pathway of Lkb1,could attenuate the effect of Lkb1 deficiency on the regeneration of Club cells.Conclusion Lkb1 promotes the proliferation of airway progenitor cells by AMPK pathway.

The theory of"lung governing skin and hair"has always occupied an important position in the clinical practice of traditional Chinese medicine.However,in western medicine,the close correlation between the lungs and the skin in health and disease has not been established.The difference between these two medical views has triggered an urgent need for the scientific interpretation and clinical application of the theory of"lung governing skin and hair"in western medicine.Therefore,the purpose of this paper is to discuss the application of"lung governing skin and hair"in chinese medicine and the correlation between the lung and the skin in western medicine from the connotation and history of"lung governing skin and hair"in Chinese medicine.In addition,we will discuss the common pathologic biomarkers of lung and skin diseases in western medicine and the co-morbidities between lung and skin,with the aim to provide new ideas for the clinical diagnosis and treatment of lung and skin diseases and modern research,as well as providing a direction for the integration of the theory of"lung governing skin and hair"into the clinical practice of western medicine.

The incidence of myopia among Chinese adolescents is progressively rising, indicating a distinct trend toward younger age onset.This paper aims to comprehensively review the impact of various visual performance on myopia and its progression, with a specific emphasis on accommodative function, convergence function, and ocular position. A meticulous exploration of accommodation function, encompassing accommodative amplitude, accommodative facility, accommodative response, positive relative accommodation, and negative relative accommodation, has been undertaken to elucidate its contributory role in myopia progression. Concurrently, an exhaustive analysis of convergence function has been conducted including esotropia and exotropia, convergence insufficiency and convergence excess, fusional function vergence, divergence insufficiency, and excess, providing a nuanced understanding of convergence's implications for myopia advancement. Furthermore, the influence of ocular position on myopia progression, along with other factors affecting perceptual ocular position and intermittent exotropia, is discussed. The primary objective of this article is to unveil the multifaceted visual performance influencing myopia and its progression, elucidating the paramount significance of accommodative function, convergence function, and ocular position in this context.