BACKGROUND: The association of systemic inflammatory response index (SIRI) with prognosis of coronary artery disease (CAD) patients has never been investigated in a large sample with long-term follow-up. This study aimed to explore the association of SIRI with all-cause and cause-specific mortality in a nationally representative sample of CAD patients from United States. METHODS: A total of 3386 participants with CAD from the National Health and Nutrition Examination Survey (NHANES) 1999-2018 were included in this study. Cox proportional hazards model, restricted cubic spline (RCS), and receiver operating characteristic curve (ROC) were performed to investigate the association of SIRI with all-cause and cause-specific mortality. Piece-wise linear regression and sensitivity analyses were also performed. RESULTS: During a median follow-up of 7.7 years, 1454 all-cause mortality occurred. After adjusting for confounding factors, higher lnSIRI was significantly associated with higher risk of all-cause (HR = 1.16, 95% CI: 1.09-1.23) and CVD mortality (HR = 1.17, 95% CI: 1.05-1.30) but not cancer mortality (HR = 1.17, 95% CI: 0.99-1.38). The associations of SIRI with all-cause and CVD mortality were detected as J-shaped with threshold values of 1.05935 and 1.122946 for SIRI, respectively. ROC curves showed that lnSIRI had robust predictive effect both in short and long terms. CONCLUSIONS SIRI was independently associated with all-cause and CVD mortality, and the dose-response relationship was J-shaped. SIRI might serve as a valid predictor for all-cause and CVD mortality both in the short and long terms.

Objective To explore the influential factors and predictive value of early femoral head collapse progression following allogeneic fibula grafting(AFG)surgery.Methods Clinical and radiological data of 68 patients(75 hips)with osteonecrosis of the femoral head(ONFH)who underwent AFG between January 2008 and December 2022 at the Orthopedics and Traumatology Department,Affiliated Hospital of Nanjing University of Chinese Medicine were retrospectively analyzed.Seventy-five hips were divided into stable(n=40)and progressive(n=35)groups based on the presence or absence of postoperative collapse progression.Age,gender,etiology,location of the lesion,Association Research Circulation Osseous(ARCO)stage,Japanese Committee of Osteonecrosis Investigation(JIC)classification,China-Japan Friendship Hospital(CJFH)classification,and Hounsfield units(HU)value of anterolateral sclerosis rim(ⅠSHU)were collected.Univariate and multivariate logistic regression analyses were used to identify the factors influencing early collapse progression after AFG.Receiver operating characteristic(ROC)curve was used to analyze the predictive value of the identified factors influencing postoperative early collapse progression.Results Of the 75 hips,35(46.7%)had postoperative collapse progression.Univariate logistic regression analysis showed that age,ARCO stage,JIC classification,and ⅠSHU were in fluencing factors for early femoral head collapse progression after AFG(P<0.05).Multivariate logistic regression analysis showed that ARCO stage ⅢA and JIC classification C2 were independent risk factors for early femoral head collapse progression after AFG,while ⅠSHU was identified as an independent protective factor(P<0.05).The ROC curve analysis showed that the sensitivities of ARCO stage,JIC classification,ⅠSHU,and the combined predictive model were 0.850,0.725,0.800,and 0.775,the specificities were 0.486,0.657,0.743,and 0.914,and the area under the ROC curve(AUC)were 0.668,0.725,0.811,and 0.896,respectively.Conclusions ⅠSHU is associated with early collapse progression after AFG in patients with ONFH.ARCO stage ⅢA,JIC classification C2,and ⅠSHU are independent factors influencing postoperative early collapse progression and have a certain predictive value.

Objective To establish age estimation models of northern Chinese Han adults using cranial suture images obtained by CT and multiplanar reformation(MPR),and to explore the applicability of cranial suture closure rule in age estimation of northern Chinese Han population.Methods The head CT samples of 132 northern Chinese Han adults aged 29-80 years were retrospectively collected.Volume reconstruction(VR)and MPR were performed on the skull,and 160 cranial suture tomography images were generated for each sample.Then the MPR images of cranial sutures were scored according to the closure grading criteria,and the mean closure grades of sagittal suture,coronal sutures(both left and right)and lambdoid sutures(both left and right)were calculated respectively.Finally taking the above grades as independent variables,the linear regression model and four machine learning models for age estimation(gradient boosting regression,support vector regression,decision tree regression and Bayesian ridge regression)were established for northern Chinese Han adults age estimation.The accu-racy of each model was evaluated.Results Each cranial suture closure grade was positively correlated with age and the correlation of sagittal suture was the highest.All four machine learning models had higher age estimation accuracy than linear regression model.The support vector regression model had the highest accuracy among the machine learning models with a mean absolute error of 9.542 years.Conclusion The combination of skull CT-MPR and machine learning model can be used for age esti-mation in northern Chinese Han adults,but it is still necessary to combine with other adult age estima-tion indicators in forensic practice.

ObjectiveExisting artificial vision devices can be divided into two types: implanted devices and extracorporeal devices, both of which have some disadvantages. The former requires surgical implantation, which may lead to irreversible trauma, while the latter has some defects such as relatively simple instructions, limited application scenarios and relying too much on the judgment of artificial intelligence (AI) to provide enough security. Here we propose a system that has voice interaction and can convert surrounding environment information into tactile commands on head and neck. Compared with existing extracorporeal devices, our device can provide a larger capacity of information and has advantages such as lower cost, lower risk, suitable for a variety of life and work scenarios. MethodsWith the latest remote wireless communication and chip technologies, microelectronic devices, cameras and sensors worn by the user, as well as the huge database and computing power in the cloud, the backend staff can get a full insight into the scenario, environmental parameters and status of the user remotely (for example, across the city) in real time. In the meanwhile, by comparing the cloud database and in-memory database and with the help of AI-assisted recognition and manual analysis, they can quickly develop the most reasonable action plan and send instructions to the user. In addition, the backend staff can provide humanistic care and emotional sustenance through voice dialogs. ResultsThis study originally proposes the concept of “remote virtual companion” and demonstrates the related hardware and software as well as test results. The system can not only achieve basic guide functions, for example, helping a person with visual impairment to shop in supermarkets, find seats at cafes, walk on the streets, construct complex puzzles, and play cards, but also can meet the demand for fast-paced daily tasks such as cycling. ConclusionExperimental results show that this “remote virtual companion” is applicable for various scenarios and demands. It can help blind people with their travels, shopping and entertainment, or accompany the elderlies with their trips, wilderness explorations, and travels.

Objective:To evaluate the incidence of arrhythmias and electrocardiographic (ECG) characteristics in cancer patients treated with immune checkpoint inhibitors (ICIs).Methods:This was a cohort study conducted in the Fourth Hospital of Hebei Medical University. Cancer patients initiating ICIs treatments from November 2020 to September 2022 were included in this study. Baseline 12-leads ECG before ICIs initiation and post-treatment ECG were analyzed. An abnormal ECG was defined as the presence of any of the following changes: sinus arrhythmias, atrial fibrillation, atrial flutter, paroxysmal supraventricular tachycardia, ventricular tachycardia, premature contractions, conduction disorder, and ST-T changes.Results:A total of 87 patients were enrolled, aged 63 (57, 68) years, with 66 (75.9%) males. And 44.8% (39/87) of patients presented with at least one confirmed cardiovascular disease or cardiovascular risk factor at baseline. The incidence of abnormal ECG increased from 31.0% (27/87) at baseline to 65.5% (57/87) after receiving (5.0±2.7) cycles of ICIs treatment ( P<0.001). The incidence of sinus arrhythmias was significantly increased after ICIs treatment (23.0% (20/87) vs. 9.2% (8/87), P=0.023), of which only the incidence of sinus tachycardia was significantly increased (11.5% (10/87) vs. 2.3% (2/87), P=0.039). There was also a significantly increased incidence of ST-T changes after ICIs treatment (31.0% (27/87) vs. 17.2% (15/87), P=0.012), which mainly attributed to the T wave changes (29.9% (26/87) vs. 13.8% (12/87), P=0.001). The incidence of premature contractions was also significantly increased after ICIs treatment (9.2% (8/87) vs. 0, P=0.008). Additionally, compared with baseline, the P wave axis was significantly increased after ICIs treatment ((56.94±21.01)° vs. (52.00±22.69)°, P=0.043). After ICIs treatment, the heart rate was significantly increased ((79.07±15.37) beats/min vs. (75.64±13.37) beats/min, P=0.029). Sokolow-Lyon index ((2.21±0.81)mV vs. (2.33±0.75)mV, P=0.138), QTc interval ((431.44±36.04)ms vs. (428.00±30.05)ms, P=0.415) all showed signs of change after treatment, but did not reach the traditional significant level. Conclusions:The incidence of abnormal ECG is significantly increased after ICIs treatment, especially for sinus tachycardia, premature contractions and T wave changes; the P wave axis and heart rate is also significantly increased after treatment. It is important to perform regular ECG monitoring in patients receiving ICIs treatment.

Objective:To explore the potential action mechanism of Huotu Jiji Pellets(HJP)in the treatment of erectile dys-function(ED)based on network pharmacology and molecular docking.Methods:We identified the main effective compounds and active molecular targets of HJP from the database of Traditional Chinese Medicine Systems Pharmacology(TCMSP)and Integrative Pharmacology-Based Research Platform of Traditional Chinese Medicine(TCMIP)and the therapeutic target genes of ED from the data-bases of Genecards.Then we obtained the common targets of HJP and ED using the Venny software,constructed a protein-protein in-teraction(PPI)network of HJP acting on ED,and screened out the core targets with the Cytoscape software.Lastly we performed GO functional enrichment and KEGG pathway enrichment analyses of the core targets followed by molecular docking of HJP and the core targets using Chem3D and AutoDock Tools and QuickVina-W software.Results:A total of 64 effective compounds,822 drug-related targets,1 783 disease-related targets and 320 common targets were obtained in this study.PPI network analysis showed that the core targets of HJP for ED included ESR1,HSP90AA1,SRC,and STAT3.GO functional enrichment analysis indicated the involvement of the core targets in such biological processes as response to xenobiotic stimulus,positive regulation of kinase activity,and positive regu-lation of MAPK cascade.KEGG pathway enrichment analysis suggested that PI3K-Akt,apoptosis,MAPK,HIF-1,VEGF,autophagy and other signaling pathways may be related to the mechanism of HJP acting on ED.Molecular docking prediction exhibited a good doc-king activity of the key active molecules of HJP with the core targets.Conclusion:This study showed that HJP acted on ED through multi-components,multi-targets and multi-pathways,which has provided some evidence and reference for the clinical treatment and subsequent studies of the disease.

Gut microbiome and their metabolites are closely related to human diseases, which influence the development of diseases by interacting with receptors. G protein-coupled receptor (GPCR) is a receptor superfamily that exists on the surface of cell membrane, which is involved in a wide range of human physiological activities. GPCR is currently considered as important drug targets. Traditional Chinese medicines (TCM) are characterized by multi-components, multi-targets, and multi-pathways. More and more studies have demonstrated that TCM can ultimately intervene in diseases by modulating gut microbiome and their metabolites, affecting their interactions with GPCR. This review discusses the status of gut microbiome and human diseases, the interactions of gut microbiome and their metabolites with GPCR, and the status of GPCR drug development. Based on the above contents, a new model of "TCM-gut microbiome panel-GPCR-disease" is proposed. The interactions between active ingredients of TCM, gut microbiome panel, and GPCR and their effects on disease are elucidated through multi-omics techniques. This review will provide new ideas for analyzing the pharmacological mechanism of TCM efficacy and searching for new targets of TCM.

OBJECTIVE: This study aimed to reveal the insomnia burden and relevant influencing factors among informal caregivers (ICs) of hospitalized patients with lung cancer. METHODS: A cross-sectional study on ICs of hospitalized patients with lung cancer was conducted from December 31, 2020 to December 31, 2021. ICs' burden was assessed using the Caregiver Reaction Assessment (CRA), Hospital Anxiety and Depression Scale (HADS), and Insomnia Severity Index (ISI). Linear and logistic regression models were used to identify the influencing factors. RESULTS: Among 289 ICs of hospitalized patients with lung cancer, 83 (28.72%), 53 (18.34%), and 14 (4.84%) ICs experienced mild, moderate, and severe insomnia, respectively. The scores concerning self-esteem, lack of family support, financial problems, disturbed schedule, and health problems were 4.32 ± 0.53, 2.24 ± 0.79, 2.84 ± 1.14, 3.63 ± 0.77, and 2.44 ± 0.95, respectively. ICs with higher Activities of Daily Living Scale (ADLS) scores were associated with a lower risk of insomnia, with an odd ratio ( OR) and 95% confidence interval ( CI) of 0.940 (0.898-0.983). Among the ICs, female gender ( OR = 2.597), alcohol consumption ( OR = 3.745), underlying medical conditions ( OR = 11.765), long-term caregiving experience ( OR = 37.037), and higher monthly expenses ( OR = 5.714) were associated with a high risk of insomnia. CONCLUSION Of the hospitalized patients with lung cancer, 51.9% experienced insomnia. Patients' ADL, ICs gender, alcohol consumption, underlying medical conditions, caregiving duration, and monthly expenses were influencing factors. Therefore, prompt screening and early intervention for ICs of patients with lung cancer is necessary.
Humans ; Female ; Caregivers ; Activities of Daily Living ; Cross-Sectional Studies ; Sleep Initiation and Maintenance Disorders/epidemiology* ; Lung Neoplasms/epidemiology*

This study constructed a nano-drug delivery system, A3@GMH, by co-delivering the stapled anoplin peptide(Ano-3, A3) with the light-harvesting material graphene oxide(GO), and evaluated its oncolytic immunotherapy effect on triple-negative breast cancer(TNBC). A3@GMH was prepared using an emulsion template method and its physicochemical properties were characterized. The in vivo and in vitro photothermal conversion abilities of A3@GMH were investigated using an infrared thermal imager. The oncoly-tic activity of A3@GMH against TNBC 4T1 cells was evaluated through cell counting kit-8(CCK-8), lactate dehydrogenase(LDH) release, live/dead cell staining, and super-resolution microscopy. The targeting properties of A3@GMH on 4T1 cells were assessed using a high-content imaging system and flow cytometry. In vitro and in vivo studies were conducted to investigate the antitumor mechanism of A3@GMH in combination with photothermal therapy(PTT) through inducing immunogenic cell death(ICD) in 4T1 cells. The results showed that the prepared A3@GMH exhibited distinct mesoporous and coated structures with an average particle size of(308.9±7.5) nm and a surface potential of(-6.79±0.58) mV. The encapsulation efficiency and drug loading of A3 were 23.9%±0.6% and 20.5%±0.5%, respectively. A3@GMH demonstrated excellent photothermal conversion ability and biological safety. A3@GMH actively mediated oncolytic features such as 4T1 cell lysis and LDH release, as well as ICD effects, and showed enhanced in vitro antitumor activity when combined with PTT. In vivo, A3@GMH efficiently induced ICD effects with two rounds of PTT, activated the host's antitumor immune response, and effectively suppressed tumor growth in 4T1 tumor-bearing mice, achieving an 88.9% tumor inhibition rate with no apparent toxic side effects. This study suggests that the combination of stapled anoplin peptide and PTT significantly enhances the oncolytic immunotherapy for TNBC and provides a basis for the innovative application of anti-tumor peptides derived from TCM in TNBC treatment.
Humans ; Animals ; Mice ; Photothermal Therapy ; Triple Negative Breast Neoplasms/pathology* ; Antimicrobial Cationic Peptides ; Immunotherapy/methods* ; Cell Line, Tumor ; Phototherapy/methods* ; Nanoparticles/chemistry*

Chronic pancreatitis (CP) is a progressive and irreversible fibroinflammatory disorder, accompanied by pancreatic exocrine insufficiency and dysregulated gut microbiota. Recently, accumulating evidence has supported a correlation between gut dysbiosis and CP development. However, whether gut microbiota dysbiosis contributes to CP pathogenesis remains unclear. Herein, an experimental CP was induced by repeated high-dose caerulein injections. The broad-spectrum antibiotics (ABX) and ABX targeting Gram-positive (G⁺) or Gram-negative bacteria (G^-) were applied to explore the specific roles of these bacteria. Gut dysbiosis was observed in both mice and in CP patients, which was accompanied by a sharply reduced abundance for short-chain fatty acids (SCFAs)-producers, especially G⁺ bacteria. Broad-spectrum ABX exacerbated the severity of CP, as evidenced by aggravated pancreatic fibrosis and gut dysbiosis, especially the depletion of SCFAs-producing G⁺ bacteria. Additionally, depletion of SCFAs-producing G⁺ bacteria rather than G^- bacteria intensified CP progression independent of TLR4, which was attenuated by supplementation with exogenous SCFAs. Finally, SCFAs modulated pancreatic fibrosis through inhibition of macrophage infiltration and M2 phenotype switching. The study supports a critical role for SCFAs-producing G⁺ bacteria in CP. Therefore, modulation of dietary-derived SCFAs or G⁺ SCFAs-producing bacteria may be considered a novel interventive approach for the management of CP.