As the global population continues to age, the incidence of Alzheimer’s disease (AD), one of the most common neurodegenerative diseases, continues to rise significantly. As the disease progresses, the patient’s daily living abilities gradually decline, potentially leading to a complete loss of self-care abilities. According to estimates by the Alzheimer’s Association and the World Health Organization, AD accounts for 60%-70% of all other dementia cases, affecting over 55 million people worldwide. The case number is estimated to double by 2050. Despite extensive research, the precise etiology and pathogenesis of AD remain elusive. Researchers have a profound understanding of the disease’s pathological hallmarks, which include amyloid plaques and neurofibrillary tangles resulting from the abnormal phosphorylation of Tau protein. However, the exact causes and mechanisms of the disease are still not fully understood, leaving a vital gap in our knowledge and understanding of this debilitating disease. A crucial player that has recently emerged in the field of AD research is the α7 nicotinic acetylcholine receptor (α7nAChR). α7nAChR is composed of five identical α7 subunits that form a homopentamer. This receptor is a significant subtype of acetylcholine receptor in the central nervous system and is widely distributed in various regions of the brain. It is particularly prevalent in the hippocampus and cortical areas, which are regions associated with learning and memory. α7nAChR plays a pivotal role in several neurological processes, including neurotransmitter release, neuronal plasticity, cell signal transduction, and inflammatory response, suggesting its potential involvement in numerous neurodegenerative diseases, including AD. In recent years, the role of α7nAChR in AD has been the focus of extensive research. Emerging evidence suggests that α7nAChR is involved in several critical steps in the disease progression of AD. These include involvement in the metabolism of amyloid β-protein (Aβ), the phosphorylation of Tau protein, neuroinflammatory response, and oxidative stress. Each of these processes contributes to the development and progression of AD, and the involvement of α7nAChR in these processes suggests that it may play a crucial role in the disease’s pathogenesis. The potential significance of α7nAChR in AD is further reinforced by the observation that alterations in its function or expression can have significant effects on cognitive abilities. These findings suggest that α7nAChR could be a promising target for therapeutic intervention in AD. At present, the results of drug clinical studies targeting α7nAChR show that these compounds have improvement and therapeutic effects in AD patients, but they have not reached the degree of being widely used in clinical practice, and their drug development still faces many challenges. Therefore, more research is needed to fully understand its role and to develop effective treatments based on this understanding. This review aims to summarize the current understanding of the association between α7nAChR and AD pathogenesis. We provide an overview of the latest research developments and insights, and highlight potential avenues for future research. As we deepen our understanding of the role of α7nAChR in AD, it is hoped that this will pave the way for the development of novel therapeutic strategies for this devastating disease. By targeting α7nAChR, we may be able to develop more effective treatments for AD, ultimately improving the quality of life for patients and their families.

Diabetes mellitus is a metabolic disease with high incidence and many complications,among which type 2 diabetes mellitus(T2DM)accounts for a large proportion.Current studies have shown that T2DM is accompanied by damage of liver,kidney,and other organs and its complications seriously en-danger human health.Ferroptosis generates many Reactive Oxygen Species(ROS)through the Fenton reaction,and the accumulation of ROS activates Hypoxia Inducible Factor-1(HIF-1α).As a result,the level of vascular endothelial growth factor(VEGF)is increased.Ferrostatin-1(Fer-1),a ferroptosis in-hibitor,has strong antioxidant capacity.Therefore,based on the hypoxia-inducible factor-1α/vascular endothelial growth factor(HIF-1α/VEGF)signaling pathway,we explored the therapeutic effect of Fer-1 on the liver and kidney tissues of diabetic mice.db/db mice(21～22 weeks old)were used as the model of diabetes mellitus.Ferroptosis inhibitor Fer-1 was used as the intervention drug.db/m mice served as the blank control group,and body weight and blood glucose were measured for 4 weeks.Food intake and water intake were recorded in each group.The levels of Alanine aminotransferase(ALT)and Aspartate aminotransferase(AST)in the serum were measured.ROS and Glutathione(GSH)activity in liver and kidney tissues and urinary protein content were measured.Liver and kidney tissue sections were stained with Hematoxylin-Eosin(HE),and the pathological morphology was observed under a light microscope.The protein levels of HIF-1α,VEGF,and glutathione peroxidase 4(GPX4)in liver and kidney tissues were detected by Western blot.In db/db mice,Fer-1(1 mg·kg-1,ig)could significantly reduce the a-mount of food and water intake,the levels of ALT and AST in serum,the ROS production in liver and kidney tissues,and the level of urine protein,but significantly increase the activity of GSH,thus improve the pathological conditions of liver and kidney.Fer-1 also significantly inhibited HIF-1α and VEGF pro-tein indexes and increased GPX4 protein levels in liver and kidney tissues.Although Fer-1 can not change the body weight and reduce blood glucose in diabetic mice,it can play a therapeutic role in the liver and kidney tissues of diabetic mice in the middle and late stages,and its mechanism may be related to HIF-1α/VEGF and GPX4.

Near infrared spectroscopy(NIRS)technology combined with chemometrics algorithms has been widely used in quantitative and qualitative analysis of food and medicine.However,traditional chemometrics methods,especially linear classification methods,often yield unsatisfactory results when addressing multi-class classification problems.Convolutional neural network(CNN)is adept at extracting deep-level features from data and suitable for handling non-linear relationships.The modeling performance of CNN depends on the size and diversity of sample,while the collection and preprocessing of NIRS sample data is often time-consuming and labor-intensive.This study proposed a NIRS qualitative analysis method based on data augmentation strategies and CNN.The data augmentation strategy included two steps.Firstly,applying Bootstrap resampling and generative adversarial network(GAN)methods to augment three NIRS datasets(Medicine,coffee and grape).Secondly,combining the original samples(Y)with the Bootstrap augmented samples(B)and GAN augmented samples(G)to obtain three augmented datasets(Y-B,Y-G and Y-B-G).Based on this,a CNN model structure suitable for these datasets was designed,consisting of 2 one-dimensional convolutional layers,1 max-pooling layer,and 1 fully connected layer.The results showed that compared to the optimal models of partial least squares discriminant analysis(PLS-DA),support vector machine(SVM),and back propagation neural network(BP),the CNN model based on Y-B dataset achieved average accuracy improvements of 3.998%,9.364%,and 4.689%for medicine(Binary classification);the CNN model based on the Y-B-G dataset achieved average accuracy improvements of 6.001%,2.004%,and 7.523%for coffee(7-class classification);and the CNN model based on the Y-B dataset achieved average accuracy improvements of 33.408%,51.994%,and 34.378%for grapes(20-class classification).It was evident that the models established based on data augmentation strategies and CNN demonstrated better classification accuracy and generalization performance with different datasets and classification categories.

OBJECTIVE: To assess the efficacy and safety of Guanxin Danshen Dripping Pills (GXDS) in the treatment of depression or anxiety in patients with coronary heart disease (CHD) after percutaneous coronary intervention (PCI). METHODS: From September 2017 to June 2019, 200 CHD patients after PCI with depression and anxiety were included and randomly divided into GXDS (100 cases) and placebo control groups (100 cases) by block randomization and a random number table. Patients in the GXDS and control groups were given GXDS and placebo, respectively, 0.4 g each time, 3 times daily for 12 weeks. The primary outcomes were scores of Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Scale (GAD-7) and the Seattle Angina Pectoris Scale (SAQ). The secondary outcomes included 12 Health Survey Summary Form (SF-12) scores and the first onset time and incidence of major adverse cardiovascular events (MACEs). Other indices including blood pressure, blood lipids, microcirculation and inflammatory-related indices, etc. were monitored at baseline, week 4, and week 12. RESULTS: In the full analysis set (200 cases), after treatment, the PHQ-9 and GAD-7 scores in the GXDS group were considerably lower than those in the control group (P<0.05). Compared with the baseline, the total PHQ-9 scores of the experimental and control groups decreased by 3.97 and 1.18, respectively. The corrected mean difference between the two groups was -2.78 (95% CI: -3.47, -2.10; P<0.001). The total GAD-7 score in the GXDS group decreased by 3.48% compared with the baseline level, while that of the placebo group decreased by 1.13%. The corrected mean difference between the two groups was -2.35 (95% CI: -2.95, -1.76; P<0.001). The degree of improvement in SAQ score, SF-12 score, endothelin and high-sensitive C-reactive protein levels in the GXDS group were substantially superior than those in the placebo group, and the differences between the two groups were statistically significant (P<0.05). Similar results were obtained in the per protocol population analysis of 177 patients. Three cases of MACES were reported in this study (1 in the GXDS group and 2 in the placebo group), and no serious adverse events occurred. CONCLUSIONS GXDS can significantly alleviate depression and anxiety, relieve symptoms of angina, and improve quality of life in patients with CHD after PCI. (Registration No. ChiCTR1800014291).
Humans ; Percutaneous Coronary Intervention/adverse effects* ; Quality of Life ; Depression ; Coronary Disease/drug therapy* ; Drugs, Chinese Herbal/therapeutic use* ; Angina Pectoris/drug therapy* ; Prognosis ; Anxiety ; Treatment Outcome ; Double-Blind Method

Aim To discuss the mechanism of Lurong Dabu Decoction on cough variant asthma. Methods Guinea pigs were divided into normal group(CON), model group(OVA), Lurong Dabu Decoction high-dose group(HIGH),low-dose group(LOW), and dexamethasone group(DEX)at random. The CVA model was established by smoking plus injection of OVA, aluminum hydroxide solution and nebulized inhalation to stimulate cough. Gguinea pigs were dissected 24 hours after the last challenge to obtain alveolar lavage fluid(BALF)and lung tissues. Immunoadsorption(ELISA)method was applied to detect the types of inflammatory cells and the content of inflammatory cytokines in BALF; HE and Masson staining of the middle lobe of the left lung were used to observe the pathological changes in lung tissues; immunohistochemical staining was used to observe TLR4 and WNT-5A protein expression and distribution of lung tissues; the protein extracted from the upper lobe of the left lung was used to measure the level of TLR4 and WNT-5A protein in lung tissues by Western blot; immunofluorescence was employed to measure the fluorescence intensity of TLR4 and WNT-5A in lung tissues; flow cytometry was used to detect IL-4 and IFN-γ in guinea pig lung tissues. Results Lurong Dabu Decoction could improve guinea pig airway inflammation, inhibit collagen fiber deposition, reduce the content of IL-4, IL-5, and IL-13 in BALF, and inhibit the protein expression of TLR4 and WNT-5A in lung tissues and increase IFN-γ levels in lung tissues while decreasing IL-4 levels. Conclusion Lurong Dabu Decoction may inhibit the occurrence of CVA through TLR4/WNT-5A signaling pathway.

Objective To discuss how to utilize intelligence application scenarios to promote the quality of hospital pharmaceutical care.Methods The literature was consulted and the needs of intelligence application scenarios in hospital pharmacy were systematically sorted out.The construction and practice of intelligence application scenarios in hospitals were introduced combining the pharmaceutical work practice of Zhongnan hospital of Wuhan University.Results Zhongnan Hospital of Wuhan University has gradually established intelligence systems covering the aspects of drug supplies,maintenance,dispensing,prescription checking,clinical pharmacy services and pharmacy management.Intelligent prescription checking and review,intelligent generation of drug procurement and supply plans,acceptance,maintenance,sorting and dispensing has realized.Informatization of the management of intensive monitoring drugs,antibiotics and anesthetic drugs were focused.In the context of scarce human resources,the supplies of drug in hospitals has been ensured,the rational rate of drug use has gradually increased,the utilization rate of antibiotics and the amount of intensive monitoring drugs have gradually decreased.Conclusion Intelligence technology saves human resources,improves the efficiency and quality of pharmaceutical management.The application of intelligence scenarios should be promoted and expanded in hospital pharmacy,and provide innovative human-computer integration pharmacy services.

OBJECTIVE: To explore the effect of nootkatone (NKT) on chronic unpredictable mild stress (CUMS)-induced depressive-like behaviors and the mechanism underlying NKT improving the depressive-like behaviors. METHODS: The CUMS-induced depression model was established in mice. Fifty mice were randomized into 5 groups (n=10) in accordance with a random number table: control group, CUMS group, CUMS + NKT (6 mg/kg) group, CUMS + NKT (12 mg/kg) group, and CUMS + ketamine group. From the 22th day, NKT (6 or 12 mg/kg) or ketamine (0.5 mg/kg) was given with intragastric administration every day for 21 days. Behavioral tests including forced swimming test (FST), tail suspension test (TST), sucrose preference test (SPT) and open-field test (OFT) were carried out. The mRNA and protein expressions of interleukin (IL)-1β, IL-18, IL-6, and tumor necrosis factor (TNF)-α in hippocampus were assessed using quantitative realtime polymerase chain reaction (PCR), Western blot analysis, and enzyme linked immunosorbent assay. The nuclear factor-κB (NF-κB)/NOD-like receptor 3 (NLRP3) inflammasome pathway was analyzed using Western blot and immunofluorescence analysis. RESULTS: NKT treatment improved CUMS-induced depressive-like behaviors in mice (P<0.05 or P<0.01). NKT significantly decreased the mRNA and protein levels of IL-1β, IL-18, IL-6, and TNF-α in hippocampus of CUMS mice (P<0.05 or P<0.01). Furthermore, NKT repressed CUMS-induced activation of NF-κB signaling and NLRP3 inflammasome (P<0.01). More important, Nigericin, a NLRP3 activator, destroyed the effect of NKT on repressing neuroinflammation and improving depressive-like behaviors (P<0.05 or P<0.01). CONCLUSION NKT ameliorates the depressive-like symptoms, in part by repressing NF-κB/NLRP3-mediated neuroinflammation.

The present study designed and prepared near-infrared responsive sinomenine hydrochloride(SIN) reservoir microneedles and evaluated the feasibility of this type of microneedles in increasing the drug loading and transdermal absorption by characterizing their mechanical properties and in vitro release characteristics.SIN was selected as the model drug, and methoxy poly(ethylene glycol) poly(caprolactone)(mPEG-PCL) copolymers and indocyanine green(ICG) were employed as amphiphilic block copolymers and light inductor to prepare near-infrared responsive nanoparticles.Based on the preparation principle of bubble microneedles, near-infrared responsive SIN reservoir microneedles were designed and prepared.The features of the near-infrared responsive SIN reservoir microneedles were characterized by measuring the morphology, length, mechanical properties, and skin penetration of microneedles.Meanwhile, the drug release performance of reservoir microneedles was evaluated by in vitro release assay.The results showed that the prepared SIN microneedles were conical, with an exposed tip height of about 650 μm.Each needle could load about 0.5 mg of drugs per square centi-meter, and this type of microneedle showed good mechanical properties and performance in skin penetration.The results of the in vitro release assay showed that the 24 h cumulative release per unit area and release rate of the microneedle were 825.61 μg·cm~(-2) and 74.3%, respectively, which indicated that its release kinetics was in line with the first-order kinetic model.This study preliminarily proved that the reservoir microneedle could effectively increase the drug loading with good mechanical properties and release perfor-mance.
Drug Delivery Systems/methods* ; Drug Liberation ; Indocyanine Green ; Morphinans ; Needles ; Polyethylene Glycols

Objective: To explore the independent risk factors of lymph node metastasis (LNM) in early gastric cancer, and to use nomogram to construct a prediction model for above LNM. Methods: A retrospective cohort study was conducted. Inclusion criteria: (1) primary early gastric cancer as stage pT1 confirmed by postoperative pathology; (2) complete clinicopathological data. Exclusion criteria: (1) patients with advanced gastric cancer, stump gastric cancer or history of gastrectomy; (2) early gastric cancer patients confirmed by pathology after neoadjuvant chemotherapy; (3) other types of gastric tumors, such as lymphoma, neuroendocrine tumor, stromal tumor, etc.; (4) primary tumors of other organs with gastric metastasis. According to the above criteria, 1633 patients with early gastric cancer who underwent radical gastrectomy at the Department of General Surgery of the Chinese PLA General Hospital First Medical Center from December 2005 to December 2020 were enrolled as training set, meanwhile 239 patients with early gastric cancer who underwent gastrectomy at the Department of General Surgery of the Chinese PLA General Hospital Fourth Medical Center from December 2015 to December 2020 were enrolled as external validation set. Risk factors of LNM in early gastric cancer were identified by using univariate and multivariate logistic regression analyses. A nomogram prediction model was established with significant factors screened by multivariate analysis. Area under the receiver operating characteristic curve (AUC) was used for assessing the predictive value of the model. Calibration curve was drawn for external validation. Results: Among 1633 patients in training set, the mean number of retrieved lymph nodes was 20 (13-28), and 209 patients (12.8%) had lymph node metastasis. Univariate analysis showed that gender, resection range, tumor location, tumor morphology, lymph node clearance, vascular invasion, lymphatic cancer thrombus, tumor length, tumor differentiation, microscopic presence of signet ring cells and depth of tumor invasion were associated with LNM (all P<0.05). Multivariate analysis revealed that females, tumor morphology as ulcer type, vascular invasion, lymphatic cancer thrombus, tumor length≥3 cm, deeper invasion of mucosa, and poor differentiation were independent risk factors for LNM in early gastric cancers (all P<0.05). Receiver operating characteristic curve indicated that AUC of training set was 0.818 (95%CI: 0.790-0.847) and AUC of external validation set was 0.765 (95%CI: 0.688-0.843). The calibration curve showed that the LNM probability predicted by nomogram was consistent with the actual situation (C-index: 0.818 in training set and 0.765 in external validation set). Conclusions: Females, tumor morphology as ulcer type, vascular invasion, lymphatic cancer thrombus, tumor length≥3 cm, deeper invasion of mucosa and poor differentiation are independent risk factors for LNM of early gastric cancer. The establishment of a nomogram prediction model for LNM in early gastric cancer has great diagnostic value and can provide reference for treatment selection.
Female ; Gastrectomy ; Humans ; Lymph Node Excision ; Lymph Nodes ; Lymphatic Metastasis ; Nomograms ; Retrospective Studies ; Risk Factors ; Stomach Neoplasms/surgery*

Purpose: To identify more accurate predictors of upper urinary tract dilatation (UUTD) in neurogenic bladder (NB) children, we studied the relationship among urodynamic parameters at different bladder filling stages, detrusor leak point pressure (DLPP) and UUTD. Methods: A total of 158 children (3–16 years) with NB were included and then divided into 2 groups according to whether their NB diagnosis was complicated with UUTD: the UUTD group (39 patients) and those without UUTD group (control group, 119 patients). The bladder filling phase was divided into 3 equal parts: the early, middle, and end filling stages. The bladder compliance (BC) and detrusor pressure (△Pdet) at each phase and DLPP at the end filling stage were recorded. Results: A BC<8 mL/cm H2O both in the middle and end stages is more specific than a BC<9 mL/cm H2O in the end stage (72%, 73%, vs. 66%), and △Pdet >8 cm H2O in the early stage, 20 cm H2O in the middle stage and 25 cm H2O in the end stage are more sensitive than △Pdet >40 cm H2O in the end stage (82%, 85%, 85%, vs. 49%). A DLPP cutoff value of 20 cm H2O showed higher sensitivity for predicting UUTD than 40 cm H2O. Conclusions Low BC and a high △Pdet in the middle and end filling stages are more accurate factors than classic indicators for predicting UUTD. In addition, a DLPP value of >20 cm H2O in the end bladder filling stage shows high sensitivity.