Background Pesticides like organophosphorus and pyrethroids are extensively utilized, and associated potential human health risks arising from multi-route exposure, including environmental sources and dietary intake, cannot be overlooked. Conducting human exposure studies using pesticide exposure biomarkers is essential for an objective evaluation of human pesticide exposure levels. Objective To develop a rapid and precise liquid chromatography-tandem mass spectrometry method for the detection of 12 pesticide metabolites in urine, including 5 metabolites of organophosphorus pesticide, 4 metabolites of pyrethroid pesticide, 2 metabolites of herbicides, and 1 metabolite of insecticide. Methods After overnight enzymatic hydrolysis, urine samples were subjected to extraction and purification using Oasis HLB 96-well solid-phase extraction. Subsequently, the samples were analyzed by liquid chromatography-tandem mass spectrometry and quantified using the isotope internal standard method. The developed method was employed to analyze 143 urine samples from a general population to assess its effectiveness and to evaluate pesticide exposure levels. Results All 12 target compounds exhibited good linear ranges, with their correlation coefficients of calibration curves exceeding 0.999. The limits of detection (LOD) ranged from 0.02 to 0.19 μg·L⁻¹, while the limits of quantitation (LOQ) ranged from 0.06 to 0.27 μg·L⁻¹. The recoveries at three spiked levels ranged from 84% to 112%, and the inter- and intra- day precisions of targeted analystes were 0.43%-9.6% and 1.6%-9.7% respectively. Using this method, 143 urine samples from residents in Jiangsu region were analyzed, and 11 pesticides were detected except N,N-diethyl-m-toluamide (DEET). Conclusion The established method of solid-phase extraction combined with liquid chromatography-tandem mass spectrometry has the characteristics of low detection limit, good repeatability, and high throughput, which is suitable for quantitative detection of selected 12 pesticides in large batches of human urine samples, and provides technical support for pesticide internal exposure monitoring and health risk assessment.

This paper proposes a mathematical model based on probability graphs and an algorithm of iterative reasoning,which is an automatic interactive question-and-answer mathematical model based on the classic TCM syndrome differentiation system and the theory of prescription and syndrome correspondence.It is used for TCM online interactive consultation and automatic syndrome differentiation analysis to improve the effectiveness of remote TCM clinical consultation and help TCM artificial intelligence assist syndrome differentiation.This model can express the clinician's experience in syndrome differentiation,and reflect his ability to accumulate and apply knowledge of ancient Chinese books,which is conducive to the inheritance and development of TCM physicians'personal experience.The model is scalable and configurable,and can continuously accumulate experience in dialectics and knowledge of traditional Chinese medicine.The use of iterative reasoning algorithm can realize the automatic analysis and reasoning of more optimized syndrome analysis results through brief interactive question and answer,providing more efficient and convenient practical assistance for clinical diagnosis and treatment of traditional Chinese medicine,which is conducive to accelerating the inheritance and promotion of traditional Chinese medicine,and is conducive to the expansion of Chinese medicine.The mass basis and market supply of medical diagnosis and treatment services have far-reaching social benefits.

A fundamental challenge that arises in biomedicine is the need to characterize compounds in a relevant cellular context in order to reveal potential on-target or off-target effects. Recently, the fast accumulation of gene transcriptional profiling data provides us an unprecedented opportunity to explore the protein targets of chemical compounds from the perspective of cell transcriptomics and RNA biology. Here, we propose a novel Siamese spectral-based graph convolutional network (SSGCN) model for inferring the protein targets of chemical compounds from gene transcriptional profiles. Although the gene signature of a compound perturbation only provides indirect clues of the interacting targets, and the biological networks under different experiment conditions further complicate the situation, the SSGCN model was successfully trained to learn from known compound-target pairs by uncovering the hidden correlations between compound perturbation profiles and gene knockdown profiles. On a benchmark set and a large time-split validation dataset, the model achieved higher target inference accuracy as compared to previous methods such as Connectivity Map. Further experimental validations of prediction results highlight the practical usefulness of SSGCN in either inferring the interacting targets of compound, or reversely, in finding novel inhibitors of a given target of interest.
Drug Delivery Systems ; Proteins ; Transcriptome

Image 1.

Glycolytic metabolism enzymes have been implicated in the immunometabolism field through changes in metabolic status. PGK1 is a catalytic enzyme in the glycolytic pathway. Here, we set up a high-throughput screen platform to identify PGK1 inhibitors. DC-PGKI is an ATP-competitive inhibitor of PGK1 with an affinity of K _d = 99.08 nmol/L. DC-PGKI stabilizes PGK1 in vitro and in vivo, and suppresses both glycolytic activity and the kinase function of PGK1. In addition, DC-PGKI unveils that PGK1 regulates production of IL-1β and IL-6 in LPS-stimulated macrophages. Mechanistically, inhibition of PGK1 with DC-PGKI results in NRF2 (nuclear factor-erythroid factor 2-related factor 2, NFE2L2) accumulation, then NRF2 translocates to the nucleus and binds to the proximity region of Il-1β and Il-6 genes, and inhibits LPS-induced expression of these genes. DC-PGKI ameliorates colitis in the dextran sulfate sodium (DSS)-induced colitis mouse model. These data support PGK1 as a regulator of macrophages and suggest potential utility of PGK1 inhibitors in the treatment of inflammatory bowel disease.

Fibroblast growth factor receptors (FGFRs) have emerged as promising targets for anticancer therapy. In this study, we synthesized and evaluated the biological activity of 66 pyrazolo[3,4-

We conducted a randomized, open-label, parallel-controlled, multicenter trial on the use of Shuanghuanglian (SHL), a traditional Chinese patent medicine, in treating cases of COVID-19. A total of 176 patients received SHL by three doses (56 in low dose, 61 in middle dose, and 59 in high dose) in addition to standard care. The control group was composed of 59 patients who received standard therapy alone. Treatment with SHL was not associated with a difference from standard care in the time to disease recovery. Patients with 14-day SHL treatment had significantly higher rate in negative conversion of SARS-CoV-2 in nucleic acid swab tests than the patients from the control group (93.4% vs. 73.9%, P = 0.006). Analysis of chest computed tomography images showed that treatment with high-dose SHL significantly promoted absorption of inflammatory focus of pneumonia, which was evaluated by density reduction of inflammatory focus from baseline, at day 7 (mean difference (95% CI), -46.39 (-86.83 to -5.94) HU; P = 0.025) and day 14 (mean difference (95% CI), -74.21 (-133.35 to -15.08) HU; P = 0.014). No serious adverse events occurred in the SHL groups. This study illustrated that SHL in combination with standard care was safe and partially effective for the treatment of COVID-19.
COVID-19 ; Humans ; Medicine, Chinese Traditional ; Research ; SARS-CoV-2 ; Treatment Outcome

The TEA domain (TEAD) family proteins (TEAD1‒4) are essential transcription factors that control cell differentiation and organ size in the Hippo pathway. Although the sequences and structures of TEAD family proteins are highly conserved, each TEAD isoform has unique physiological and pathological functions. Therefore, the development and discovery of subtype selective inhibitors for TEAD protein will provide important chemical probes for the TEAD-related function studies in development and diseases. Here, we identified a novel TEAD1/3 covalent inhibitor (DC-TEADin1072) with biochemical IC

Objective:To investigate the pathological characteristics and the clinical significance of novel coronavirus (2019-nCoV)-infected pneumonia (termed by WHO as coronavirus disease 2019, COVID-19).Methods:Minimally invasive autopsies from lung, heart, kidney, spleen, bone marrow, liver, pancreas, stomach, intestine, thyroid and skin were performed on three patients died of novel coronavirus pneumonia in Chongqing, China. Hematoxylin and eosin staining (HE), transmission electron microcopy, and histochemical staining were performed to investigate the pathological changes of indicated organs or tissues. Immunohistochemical staining was conducted to evaluate the infiltration of immune cells as well as the expression of 2019-nCoV proteins. Real time PCR was carried out to detect the RNA of 2019-nCoV.Results:Various damages were observed in the alveolar structure, with minor serous exudation and fibrin exudation. Hyaline membrane formation was observed in some alveoli. The infiltrated immune cells in alveoli were majorly macrophages and monocytes. Moderate multinucleated giant cells, minimal lymphocytes, eosinophils and neutrophils were also observed. Most of infiltrated lymphocytes were CD4-positive T cells. Significant proliferation of type Ⅱ alveolar epithelia and focal desquamation of alveolar epithelia were also indicated. The blood vessels of alveolar septum were congested, edematous and widened, with modest infiltration of monocytes and lymphocytes. Hyaline thrombi were found in a minority of microvessels. Focal hemorrhage in lung tissue, organization of exudates in some alveolar cavities, and pulmonary interstitial fibrosis were observed. Part of the bronchial epithelia were exfoliated. Coronavirus particles in bronchial mucosal epithelia and type Ⅱ alveolar epithelia were observed under electron microscope. Immunohistochemical staining showed that part of the alveolar epithelia and macrophages were positive for 2019-nCoV antigen. Real time PCR analyses identified positive signals for 2019-nCoV nucleic acid. Decreased numbers of lymphocyte, cell degeneration and necrosis were observed in spleen. Furthermore, degeneration and necrosis of parenchymal cells, formation of hyaline thrombus in small vessels, and pathological changes of chronic diseases were observed in other organs and tissues, while no evidence of coronavirus infection was observed in these organs.Conclusions:The lungs from novel coronavirus pneumonia patients manifest significant pathological lesions, including the alveolar exudative inflammation and interstitial inflammation, alveolar epithelium proliferation and hyaline membrane formation. While the 2019-nCoV is mainly distributed in lung, the infection also involves in the damages of heart, vessels, liver, kidney and other organs. Further studies are warranted to investigate the mechanism underlying pathological changes of this disease.

Proprotein convertase subtilisin/kexin type 9 (PCSK9) modulators may attenuate PCSK9-induced low-density lipoprotein receptor (LDLR) degradation in lysosome and promote the clearance of circulating low-density lipoprotein cholesterol (LDL-C). A novel series of tetrahydroprotoberberine derivatives (THPBs) were designed, synthesized, and evaluated as PCSK9 modulators for the treatment of hyperlipidemia. Among them, eight compounds exhibited excellent activities in downregulating hepatic PCSK9 expression better than berberine in HepG2 cells. In addition, five compounds , , , ()-, and ()- showed better performance in the low-density lipoprotein, labeled with 1,1'-dioctadecyl-3,3,3',3'-tetramethyl-indocarbocyanine perchlorate (DiI-LDL) uptake assay, compared with berberine at the same concentration. Compound , selected for evaluation, demonstrated significant reductions of total cholesterol (TC) and LDL-C in hyperlipidemic hamsters with a good pharmacokinetic profile. Further exploring of the lipid-lowering mechanism showed that compound promoted hepatic LDLR expression in a dose-dependent manner in HepG2 cells. Additional results of human related gene (hERG) inhibition assay indicated the potential druggability for compound , which is a promising lead compound for the development of PCSK9 modulator for the treatment of hyperlipidemia.