Smoking is the leading preventable risk factor for disease and death worldwide. Tobacco and its smoke contain a complex mix of over 9 500 chemical substances, including oxidative gases, heavy metals, and 83 known carcinogens. Long-term smoking is a significant risk factor for respiratory diseases such as acute lung injury, emphysema, and pulmonary fibrosis. Damage to alveolar epithelial cells (AECs) is a common pathological feature in these smoking-related lung diseases. AECs, which line the surface of the alveoli, play a crucial role in preventing overexpansion or collapse, secreting cell factors and surfactants, containing abundant mitochondria, and being essential for lung tissue maturation, gas exchange, metabolism, and repair after damage. Damage to these cells can lead to pulmonary edema and alveolar collapse. Cigarette smoke (CS) can disrupt alveolar epithelial cell function through various pathways, resulting in cell death, tissue damage, and the development of lung diseases.This review summarizes recent research on the damage caused by CS to AECs, showing that CS can promote cell death and damage through induction of oxidative stress, autophagy, endoplasmic reticulum stress, mitochondrial dysfunction, inflammation, and epithelial-mesenchymal transition. It also affects the proliferative function of alveolar type II epithelial cells. The review highlights that CS-induced oxidative stress is a key factor in causing various types of damage, with TRP ion channels serving as important triggers. Inhibiting CS-induced oxidative damage can significantly prevent cell death and subsequent diseases such as pulmonary emphysema. The activation of the same pathway induced by CS can lead to different types of cell damage, potentially encouraging the development of different diseases. CS can either directly induce or indirectly promote cell inflammation through endoplasmic reticulum stress, mitochondrial dysfunction, and senescence. There are interconnected relationships between these mechanisms, and SIRT1 is an important protein in preventing CS-induced AECs damage. Increasing SIRT1 activity can alleviate CS-induced autophagy, endoplasmic reticulum stress, and senescence in various cell damages; its substrate NAD⁺ is already used clinically, and its effectiveness in COPD treatment deserves further exploration. The impact of CS on cells varies based on concentration: lower concentrations stimulate stress responses or apoptosis, while higher concentrations lead to apoptosis or necrosis through various mechanisms, ultimately impairing lung epithelial function. When external stimuli exceed the cells’ self-healing capacity, they can cause damage to cells, lung epithelial barriers, and alveoli, promoting the development of related lung diseases. Key proteins that play a protective role may serve as potential targets to mitigate cell damage.This review provides insights into the various mechanisms through which CS induces damage to AECs, covering important transcription factors, DNA repair proteins, and membrane channel proteins, paving the way for the study of new mechanisms and pathways. However, there are still unanswered questions, such as the need for further exploration of the upstream pathways of CS-induced autophagy in AECs and the intrinsic mechanisms of CS in enhancing the stem cell properties of AECs and its relationship to the occurrence of lung cancer.It is expected that this article will provide a theoretical basis for future research on the mechanisms of lung epithelial cell damage caused by CS or its individual components and inspire clinical strategies for the prevention and treatment of smoking-related lung diseases.

Objective This study aims to optimize the evaluation index system for the Party branch work of a hospital,grounded on Party regulations,and employ diversified assessment methods to integrate Party branch development with the advance-ment of medical,educational,and research endeavors.Methods This study utilized literature review and textual analysis to identi-fy relevant documents.Through qualitative interviews and convenience sampling,25 questionnaires were distributed to Party repre-sentatives at all levels within the hospital,yielding 25 valid responses.The 5-point Likert scale was applied to rate and assess the importance of 74 selected assessment indicators.Results A comprehensive evaluation system was established,which includes 5 pri-mary indicators,14 secondary indicators,and 53 tertiary indicators.Conclusion The existing comprehensive quantitative assess-ment system for Party branches has been optimized.The adoption of diversified evaluation methods has led to a clearer,more explic-it,and standardized objectives for Party branch construction,thereby enhancing its guiding and motivational role.

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.

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.

Hepatohilar cholangiocarcinoma is a common malignant tumor of the biliary system,and radical surgery is one of the important treatment methods.Due to the narrow space at the hi-lum and the high rate of anatomical variation,radical surgery is challenging.By using medical imag-ing technology and 3D reconstruction,surgeons can accurately determine the stage and classifica-tion of hilar cholangiocarcinoma preoperatively.They can assess the tumor's resectability by Ac-cording to the bile duct separation limit points(U point,P point)and anticipate the impact of portal vein,bile duct,and arterial variations on the surgical plan,thereby improving the rate of radical re-section and reducing complication rates.

Aim To study the effect of emetine on in-sulin secretion through glucagon-like peptide-1 receptor(GLP-1R).Methods Isolating rat islets were used to carry out insulin secretion experiment.Islets were incubated with different concentrations of emetine(2,10,50 μmol·L-1),different concentrations of glu-cose solution(2.8,11.1,16.7 mmol·L-1)or spe-cific GLP-1R antagonist Exendin(9-39).The amount of insulin secretion in the supernatant of each group was determined by an enzyme-linked radioimmunoas-say.Small molecule compounds were docked to GLP-1R(PDB code:5NX2)using SYBYL-X2.0 software.Results Emetine could promote insulin secretion in high glucose(11.1 mmol·L-1)in a dose-dependent manner.In low glucose(2.8 mmol·L-1),insulin secretion did not change after intervention of emetine.But in high glucose(11.1,16.7 mmol·L-1),insu-lin secretion significantly increased under the treatment of emetine in a glucose-dependent manner.The doc-king score of emetine and GLP-1R was Total Score=6.82,C Score=5,indicating that emetine had a good binding affinity with GLP-1R.Using Exendin(9-39)to block GLP-1R,the insulinotropic effect of emetine was reduced.Conclusion Emetine could promote in-sulin secretion,which is related to the activation of GLP-1R.

China ; History of Medicine ; Medicine/standards*

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

OBJECTIVE: To investigate the anti-coronavirus potential and the corresponding mechanisms of the two ingredients of Reduning Injection: quercetin and luteolin. METHODS: A pseudovirus system was designed to test the efficacy of quercetin and luteolin to inhibit SARS-CoV-2 infection and the corresponding cellular toxicity. Luteolin was tested for its activities against the pseudoviruses of SARS-CoV-2 and its variants. Virtual screening was performed to predict the binding sites by Autodock Vina 1.1.230 and PyMol. To validate docking results, surface plasmon resonance (SPR) was used to measure the binding affinity of the compounds with various proteins of the coronaviruses. Quercetin and luteolin were further tested for their inhibitory effects on other coronaviruses by indirect immunofluorescence assay on rhabdomyosarcoma cells infected with HCoV-OC43. RESULTS: The inhibition of SARS-CoV-2 pseudovirus by luteolin and quercetin were strongly dose-dependent, with concentration for 50% of maximal effect (EC₅₀) of 8.817 and 52.98 µmol/L, respectively. Their cytotoxicity to BHK21-hACE2 were 177.6 and 405.1 µmol/L, respectively. In addition, luetolin significantly blocked the entry of 4 pseudoviruses of SARS-CoV-2 variants, with EC₅₀ lower than 7 µmol/L. Virtual screening and SPR confirmed that luteolin binds to the S-proteins and quercetin binds to the active center of the 3CLpro, PLpro, and helicase proteins. Quercetin and luteolin showed over 99% inhibition against HCoV-OC43. CONCLUSIONS The mechanisms were revealed of quercetin and luteolin inhibiting the infection of SARS-CoV-2 and its variants. Reduning Injection is a promising drug for COVID-19.
Humans ; SARS-CoV-2 ; COVID-19 ; Luteolin ; Quercetin

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.