Alzheimer's disease (AD) is a common neurodegenerative disorder among the elderly, and BuChE has emerged as a potential therapeutic target. In this study, we reported the development of compound 8e, a selective reversible BuChE inhibitor (eqBuChE IC₅₀ = 0.049 μmol/L, huBuChE IC₅₀ = 0.066 μmol/L), identified through extensive virtual screening and lead optimization. Compound 8e demonstrated favorable blood-brain barrier permeability, good drug-likeness property and pronounced neuroprotective efficacy. Additionally, 8e exhibited significant therapeutic effects in zebrafish AD models and scopolamine-induced cognitive impairments in mice. Further, 8e significantly improved cognitive function in APP/PS1 transgenic mice. Proteomics analysis demonstrated that 8e markedly elevated the expression levels of very low-density lipoprotein receptor (VLDLR), offering valuable insights into its potential modulation of the Reelin-mediated signaling pathway. Thus, compound 8e emerges as a novel and potent BuChE inhibitor for the treatment of AD, with significant implications for further exploration into its mechanisms of action and therapeutic applications.

Human carboxylesterase 2A (hCES2A) plays pivotal roles in prodrug activation and hydrolytic metabolism of ester-bearing chemicals. Targeted inhibition of intestinal hCES2A represents a feasible strategy to mitigate irinotecan-triggered gut toxicity (ITGT), but the orally active, selective, and efficacious hCES2A inhibitors are rarely reported. Here, a novel drug-like hCES2A inhibitor was developed via three rounds of structure-based drug design (SBDD) and structural optimization. Initially, donepezil was identified as a moderate hCES2A inhibitor from 2000 US Food and Drug Administration (FDA)-approved drugs. Following two rounds of SBDD and structural optimization, a donepezil derivative (B7) was identified as a strong reversible hCES2A inhibitor. Subsequently, nine B7 carbamates were rationally designed, synthesized and biologically assayed. Among all synthesized carbamates, C3 showed the most potent time-dependent inhibition on hCES2A (IC₅₀ = 0.56 nmol/L), excellent specificity and favorable drug-like properties. C3 could covalently modify the catalytic serine of hCES2A with high selectivity, while this agent also showed favorable safety profiles, high intestinal exposure, and impressive effects for ameliorating ITGT in both human intestinal organoids and tumor-bearing mice. Collectively, this study showcases a rational strategy for developing drug-like and serine-targeting covalent inhibitors against target serine hydrolase(s), while C3 emerges as a promising orally active drug candidate for ameliorating ITGT.

ObjectiveTo investigate the correlation between the color， odor and volatile components of Paeoniae Radix Alba（PRA） and its processed products， and to examine the effects of different processing methods on the odor and color formation of PRA. MethodThe odor and chromaticity information of PRA， honey chaff-fried PRA and honey bran-fried PRA were identified by electronic nose and colorimeter， and the volatile components in the different processed products of PRA were identified and relatively quantified by headspace gas chromatography-mass spectrometry（HS-GC-MS）， and analyzed using principal component analysis（PCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA）， then the differential key flavor components among the three were screened according to the principles of variable importance in the projection（VIP） value>1 and relative odor activity value（ROAV）≥1. Pearson correlation analysis was used to investigate the association between the differential flavor components and the colorimetric values and electronic nose sensors， respectively. ResultAfter being fried with honey chaff and honey bran， the lightness value（L^*） of PRA decreased， and red-green value（a^*） and yellow-blue value（b^*） increased significantly（P<0.05， P<0.01）. The odor differences were mainly reflected in the S1， S2， S4， S5， S6， S8 and S11 sensors， and the results of PCA of the electronic nose indicated that the odor differences among PRA， honey chaff-fried PRA and honey bran-fried PRA were obvious， among which the overall odor intensity of honey bran-fried PRA was higher than that of honey chaff-fried PRA. A total of 47 volatile components were identified from PRA and its processed products， including 21 for PRA， 36 for honey chaff-fried PRA， and 37 for honey bran-fried PRA. Odor analysis revealed that 12， 24 and 22 volatile components may be the key flavor components in PRA， honey chaff-fried PRA and honey bran-fried PRA， respectively. Correlation analysis showed that the L^* of the decoction pieces was negatively correlated with the content of the Maillard reaction products， the a^* and b^* were positively correlated with the content of the Maillard reaction products， the S1 and S8 sensors were negatively correlated with the content of the Maillard reaction products， and the S2， S4， S5， S6 and S11 sensors were positively correlated with the Maillard reaction products. ConclusionThe color of PRA is deepened after being stir-fried with honey chaff and honey bran， and 5-hydroxymethylfurfural， furfural and other components are generated at the same time， which is in line with the theory of burning aroma strengthens the spleen of stir-fried with honey chaff and honey bran. Honey bran-fried PRA has a stronger Maillard reaction than honey chaff-fried PRA， which makes honey bran-fried PRA with a burnt flavor and a dark yellow color， while honey chaff-fried PRA has a sweet flavor and a bright yellow color.

Objective:To design an electronic nose that can detect and identify urinary volatile organic compounds (VOCs) as marker gases for bladder cancer.Methods:Isopropyl alcohol, ethylbenzene, acetic acid, and ammonia were selected as target gases, and 8 metal oxide gas sensors were used to construct sensor arrays for testing and collecting experimental data, and different characteristics were normalized. Recursive feature elimination (RFE) was used to select the best feature subset, and principal component analysis (PCA) and linear discriminant analysis (LDA) were further introduced to reduce the data dimension and facilitate visual analysis. In addition, three machine learning algorithms, including support vector machine (SVM), random forest (RF), and K-nearest neighbor (KNN), were combined to train and verify the model.Results:When the feature number was 12, the accuracy of the model classification had the best performance. The feature subset consisted of 5 differences, 5 sensitivities, and 2 integrals, and the data was reduced to 12 dimensions. Only PCA couldn’t distinguish the four gases. The LDA classification performance was significantly better than that of PCA, except that isopropyl alcohol and acetic acid had a small overlap area. LDA could distinguish ethylbenzene and ammonia from isopropyl alcohol and acetic acid; the sample points were gathered, which means the clustering performance was also better. The prediction accuracy of SVM, RF, and KNN was 0.85, 0.56, and 0.79, respectively. After model verification, the classification accuracy of PCA+SVM, LDA+RF, and LDA+KNN was 0.97, 0.94, and 0.97, respectively.Conclusions:An electronic nose was designed to detect and identify urinary VOCs marker gases for bladder cancer.

Diabetes and its complications pose a serious threat to human life and health. It has become a public health problem of wide concern worldwide. Currently, diabetes is mainly treated with insulin injection in clinic. However, manual insulin injection still has many shortcomings. In recent years, with the deepening of research, it has been found that an automated insulin delivery system (AID), which combines a continuous glucose monitoring device with an insulin pump, can significantly improve the effectiveness of diabetes treatment and reduce the incidence of complications in patients. This paper firstly introduces the composition of the AID system and its working principle, and then details the development history and current status of the related technologies from the aspects of continuous glucose monitoring technology, insulin pumps and the development of closed-loop control algorithms, etc. Finally, this paper looks forward to the application prospect and future development of AID system in the field of diabetes treatment, providing theoretical reference for further research.
Humans ; Insulin Infusion Systems ; Insulin/administration & dosage* ; Blood Glucose Self-Monitoring/instrumentation* ; Diabetes Mellitus/drug therapy* ; Algorithms ; Hypoglycemic Agents/administration & dosage* ; Blood Glucose/analysis* ; Pancreas, Artificial ; Automation

As known, the benefits of photothermal therapy (PTT) are greatly limited by the heat tolerance of cancer cells resulting from overexpressed heat shock proteins (HSPs). Then HSPs further trigger the formation of stress granules (SGs) that regulate protein expression and cell viability under various stress conditions. Inhibition of SG formation can sensitize tumor cells to PTT. Herein, we developed PEGylated pH (low) insertion peptide (PEG-pHLIP)-modified hollow copper sulfide nanoparticles (HCuS NPs) encapsulating the SG inhibitor ISRIB, with the phase-change material lauric acid (LA) as a gate-keeper, to construct a pH-driven and NIR photo-responsive controlled smart drug delivery system (IL@H-PP). The nanomedicine could specifically target slightly acidic tumor sites. Upon irradiation, IL@H-PP realized PTT, and the light-controlled release of ISRIB could effectively inhibit the formation of PTT-induced SG to sensitize tumor cells to PTT, thereby increasing the antitumor effect and inducing potent immunogenic cell death (ICD). Moreover, IL@H-PP could promote the production of reactive oxygen species (ROS) by tumor-associated macrophages (TAMs), repolarizing them towards the M1 phenotype and remodeling the immunosuppressive microenvironment. In vitro/vivo results revealed the potential of PTT combined with SG inhibitors, which provides a new paradigm for antitumor and anti-metastases.

OBJECTIVE To explore mecha-nisms of imperatorin on regulating P-glycoprotein(P-gp)in blood-brain barrier(BBB)based on net-work pharmacology combined with in vitro experi-ment.METHODS Drug targets were predicted using the Pharmapper and Swiss targets data-bases;disease targets were obtained through the Genecards database;intersections between drugs and disease targets were screened by Cytoscape software;the obtained core targets were used to construct protein-protein interaction(PPI)network,gene ontology(GO)functions,and Kyoto encyclopedia of genes and genomes(KEGG)pathway enrichment analysis.The effects of imperatorin(20,50,100 μ mol·L-1)on P-gp activity were monitored in hCMEC/D3in vitro BBB model,and the effects of imperatorin on the expression of target proteins were verified using Western blot method.RESULTS 55 drug targets and 3102 disease targets were obtained from the network pharmacology screening,and 37 core targets were obtained after the combination.Enrichment analysis showed that core targets were closely related to chemical synaptic trans-mission regulation,neurotransmitter receptor activity,proteinkinaseregulationactivity,G protein-coupled receptor signaling pathway,neural active ligand receptor interaction pathway,PI3K-Akt sig-naling pathway,VEGF signaling pathway,etc..In vitro experimental validation suggested that all tested concentration groups of imperatorin signifi-cantly reduced the activity and expression of P-gp,which were achieved by significantly downregu-lating the phosphorylation levels of PI3K and Akt,and repressing the expression of VEGFR2 pro-tein.CONCLUSION Network pharmacology was used to predict the core targets and signaling pathways of imperatorin on regulating P-gp in BBB and relevant validation was conducted through in vitro experiments,providing a refer-ence basis for further exploration of the mecha-nisms of imperatorin on regulating P-gp in BBB.

Objective:To retrospectively identify the risk factors for postoperative nausea and vomiting (PONV)in the obese patients undergoing laparoscopic sleeve gastrectomy(LSG).Methods:The medical records from the obese patients who underwent elective laparoscopic sleeve gastrectomy from January 2018 to July 2022 were retrospectively collected. PONV was defined according to the use of remedial antiemetics in the nursing record sheet, and the patients were divided into PONV group and non-PONV group according to the occurrence of PONV that required treatment. The logistic regression analysis was used to identify the risk factors for PONV after LSG.Results:A total of 1 264 obese patients were included in this study, and there were 263 patients in PONV group, and the incidence of PONV was 20.81%. According to the results of multifactorial logistic regression analysis, female( OR=1.533, 95% CI 1.007-2.334, P=0.046), higher level of serum alanine aminotransferase concentrations ( OR=1.006, 95% CI 1.002-1.009, P=0.001), higher level of C-reactive protein ( OR=1.013, 95% CI 1.005-1.022, P=0.001), general anesthesia combined with nerve block (general anesthesia combined with TAPB: OR=2.737, 95% CI 1.817-4.121, P<0.001; general anesthesia combined with other nerve block: OR=1.899, 95% CI 1.249-2.889, P=0.003) and intraoperative use of sufentanil ( OR=2.114, 95% CI 1.308-3.415, P=0.002) were independent risk factors for PONV( P<0.05). However, the higher level of serum follicle-stimulating hormone concentrations ( OR=0.941, 95% CI 0.895-0.988, P=0.015), intraoperative use of dexmedetomidine ( OR=0.640, 95% CI 0.417-0.982, P=0.041), and administration of prophylactic antiemetic medication (antiemetic drugs during operation OR=0.669, 95% CI 0.469-0.955, P=0.027; antiemetic drugs after operation OR=0.303, 95% CI 0.182-0.503, P<0.001; antiemetic drugs during and after operation OR=0.215, 95% CI 0.107-0.434, P<0.001) were protective factors for PONV. Conclusions:Female, higher levels of serum alanine aminotransferase and C-reactive protein, general anesthesia combined with nerve block and intraoperative use of sufentanil are independent risk factors for PONV, while higher levels of follicle-stimulating hormone, intraoperative use of dexmedetomidine and administration of prophylactic antiemetic medication are protective factors for PONV among obese patients undergoing LSG.

With the further increase of the global cancer burden, various cancers are increasingly challenging human health status and quality of life. Thus, early screening of cancer is crucial. Urinary volatile organic compounds (VOCs) detection techniques have the advantages of easy access to samples, high acceptance of patients, non-invasive, and so on, which have been favored and concerned by researchers. In this paper, existing techniques and methods for cancer diagnosis based on urine VOCs were described, relevant studies on the use of urine VOCs for cancer diagnosis were reviewed, and the barriers and future perspectives of the technique were discussed. This paper can be a reference for researchers working in the direction of urinary VOCs detection, a multidisciplinary field that spans medicine and materials science.

Lymphocytic hypophysitis(LYH) is a rare autoimmune inflammatory disorder of the pituitary gland, usually affecting young women in late pregnancy or postpartum period. To enhance the knowledge of LYH, herein we reported a case of LYH in a female during postpartum who presented with pituitary crisis.