Objective To explore the relationship and internal path between activities of daily living(ADL),sleep quality and mental health of community elderly people in Shanghai.Methods A questionnaire survey was conducted among community residents aged 60 years and older seeing doctors in community health care center of five streets in Shanghai during Sept to Dec,2021 using convenience sampling.Activities of Daily Living(ADL),Pittsburgh Sleep Quality Index(PSQI)and 10-item Kessler Psychological Distress Scale(K10)were adopted in the survey.Single factor analysis,correlation analysis and multiple linear regression were used to analyze the data.The effect relationship between the variables was tested using Bootstrap's mediated effects test.Results A total of 1 864 participants were included in the study.The average score was 15.53±4.47 for ADL,5.60±3.71 for PSQI and 15.50±6.28 for K10.The rate of ADL impairment,poor sleep quality,poor and very poor mental health of the elderly were 23.6%,27.3%,11.9%and 4.9%,respectively.ADL and sleep quality were all positively correlated with mental health(r=0.321,P＜0.001;r=0.466,P＜0.001);ADL was positively correlated with sleep quality(r=0.294,P＜0.001).Multiple linear results of factors influencing mental health showed that ADL(β= 0.457,95%CI:0.341-0.573),sleep quality(β =0.667,95%CI:0.598-0.737)and mental health were positively correlated(P＜0.001).Sleep quality partially mediated the relationship between ADL and mental health(95%CI:0.078-0.124)with an effect size of 33.0%.Conclusion Sleep quality is a mediator between ADL and mental health among community elderly people.Improving ADL and sleep quality may improve mental health in the population.

With the advent of an aging society,Alzheimer's disease(AD)has gradually become a major ailment affecting the elderly.AD is a neurodegenerative disorder associated with cognitive impairments.In AD patients,brain network connections are disrupted,and their topological properties are also affected,leading to the disintegration of anatomical and functional connections.Anatomical connections can be tracked and evaluated using structural magnetic imaging(MRI)and diffusion tensor imaging(DTI),while functional connections are detected through functional MRI to assess their connectivity status.This review incorporates the findings of previous scholars and summarizes the current research of AD.It mainly discusses the imaging characteristics of large-scale brain network changes in AD patients,so as to provide researchers with scientific and objective imaging markers for AD prediction and early diagnosis,as well as future research.

Currently,human health due to corona virus disease 2019(COVID-19)pandemic has been seriously threatened.The coronavirus severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)spike(S)protein plays a crucial role in virus transmission and several S-based therapeutic approaches have been approved for the treatment of COVID-19.However,the efficacy is compromised by the SARS-CoV-2 evolvement and mutation.Here we report the SARS-CoV-2 S protein receptor-binding domain(RBD)inhibitor licorice-saponin A3(A3)could widely inhibit RBD of SARS-CoV-2 variants,including Beta,Delta,and Omicron BA.1,XBB and BQ1.1.Furthermore,A3 could potently inhibit SARS-CoV-2 Omicron virus in Vero E6 cells,with EC50 of 1.016 pM.The mechanism was related to binding with Y453 of RBD deter-mined by hydrogen-deuterium exchange mass spectrometry(HDX-MS)analysis combined with quan-tum mechanics/molecular mechanics(QM/MM)simulations.Interestingly,phosphoproteomics analysis and multi fluorescent immunohistochemistry(mIHC)respectively indicated that A3 also inhibits host inflammation by directly modulating the JNK and p38 mitogen-activated protein kinase(MAPK)path-ways and rebalancing the corresponding immune dysregulation.This work supports A3 as a promising broad-spectrum small molecule drug candidate for COVID-19.

Transcranial electrical stimulation (tES) is a non-invasive neural modulation technique known for its high safety, patient compliance, and portability. It holds promise as a potential non-pharmacological method for analgesia. However, challenges persist in utilizing tES for pain management, including inconsistent research findings and limited understanding of its analgesic mechanisms. Therefore, by summarizing the advances in the analgesic researches employing the 3 primary tES techniques, transcranial direct current stimulation (tDCS), transcranial alternating current stimulation (tACS), and transcranial random noise stimulation (tRNS), we reviewed the analgesic effects on both acute and chronic pain, as well as the neural mechanisms underlying the analgesic effect of each technique. Accumulating evidence suggests that the analgesic effects of tDCS are significant, but studies on analgesic effects of tACS and tRNS remain limited. And the exact mechanisms of pain relief through tES turned out to be not yet well established. Furthermore, we systematically discussed the limitations of analgesia-related studies employing tES techniques across various aspects, involving research design, stimulation protocol formulation, neural response observation, analgesic effect assessment, and safety considerations. To address these limitations and advance clinical translation, we emphasized utilizing promising stimulation techniques and offered practical suggestions for future research endeavors. Specifically, employing numerical simulation of electric field guided by magnetic resonance imaging (MRI) would reduce variability of outcomes due to individual differences in head anatomy. For this purpose, it is advisable to establish standardized head models based on MRI data from the Chinese populations and validate simulated electric field results in tES research to diminish confounding factors concerning anatomy. Meanwhile, novel techniques like multi-site brain stimulation and interferential stimulation (IFS) could broaden the range of stimulation sites in both scope and depth. Multi-site brain stimulation facilitates modulation of entire neural networks, enabling more sophisticated investigations into the complexity of pain. IFS can reach deep brain tissues without invasive surgical procedures, achieving more comprehensive modulation. Regarding neural response observations, establishing a tES-neuroimaging synchronized platform would enable revealing its mechanisms and personalizing protocols based on inter-subject neural response variability detected through recordings. By integrating tES with various neuroimaging techniques, such as functional MRI, electroencephalography (EEG) and magnetoencephalography, into one unified platform, researchers could examine brain activities in baseline before stimulation, dynamic changes in brain activities during stimulation, and sustained brain responses after stimulation. Additionally, collecting finer-grained data on participant characteristics and pain intensity would enhance the sensitivity of future studies. In designing clinical trials to evaluate chronic pain treatments and reporting the results, adopting the six core outcome domain measures recommended by the Initiative on Methods, Measurement, and Pain Assessment in Clinical Trials (IMMPACT) could prove beneficial. Lastly, safety considerations can never be overemphasized in future tES studies especially when combining tES with MRI and EEG techniques. These efforts may help to broaden the research scope, reconcile inconsistencies in findings and elucidate the analgesic mechanisms of tES, thus facilitating the development of pragmatic pain management strategies such as combination therapies and home therapies. Ultimately, these suggestions will maximize the clinical application value of tES in pain treatment to achieve pain relief for patients.

Bladder cancer is one of the most prevalent cancers worldwide, with a high rate of recurrence and mortality, which is the ninth most common malignancy globally. Cystoscopy remains the gold standard for clinical bladder cancer diagnosis, but its invasive nature can lead to bacterial infection and inflammation. Urine cytology is a non-invasive and simple diagnostic method, but it has lower sensitivity in detecting low-grade bladder cancer and may yield false negative results. Therefore, identifying ideal diagnostic and prognostic biomarkers is crucial for accurate diagnosis and effective treatment of bladder cancer. Aptamers, characterized as single-stranded DNA or RNA with unique three-dimensional conformations, exhibit the ability to identify various targets, ranging from small molecules to tumor cells. Aptamers, also known as chemical antibodies, are generated by systematic evolution of ligands by exponential enrichment (SELEX) process and can function similarly to traditional antibodies. They hold numerous advantages over antibodies, such as ease of modification, low immunogenicity, and rapid tissue penetration and cell internalization due to their nucleic acid molecule structure. Since their discovery in the 1990s, aptamers have been widely used in biochemical analysis, disease detection, new drug research and other fields. This article provides an overview of aptamer selection and characterization for bladder cancer, discussing the research advancements involving aptamers in diagnosing and treating this disease. It covers aptamers obtained through different SELEX methods, including protein-SELEX, cell-SELEX, tissue-SELEX, and aptamers from other cancer SELEX; the detection in blood samples and urine samples; and application in targeted therapy and immunotherapy for bladder cancer. Currently, several aptamers capable of identifying bladder cancer have been generated, serving as molecular probes that have played a pivotal role in the early detection and treatment of bladder cancer. Bladder cancer perfusion therapy is well-suited for aptamer drug therapy because it does not require internal circulation, making it a suitable clinical indication for aptamer drug development. In addition, bladder cancer can be detected and monitored by collecting urine samples from patients, making it a preferred disease for clinical conversion of aptamers. While aptamers show promise, there is still much room for development compared with antibodies. There are still many clinically applied cancer biomarkers without corresponding aptamers, and more aptamers targeting different biomarkers should be selected and optimized to improve the sensitivity and accuracy for cancer detection and therapy. The field of aptamers urgently needs successful commercial products to promote its development, and home rapid detection/monitoring, imaging and targeted therapy of bladder cancer by infusion may be the breakthrough point for future application of aptamers.

Objective:To extract the early result of postoperative echocardiographic evaluation in patients underwent left ventricular assist device (LVAD) implantation, and to assess the efficacy of surgical treatment for end-staged heart failure.Methods:Between June 2019 and May 2023, the patients underwent left ventricular assist device implantation were enrolled in this study. Demographic baseline characteristics and perioperative echocardiographic parameters were collected and analyzed.Results:A total of 28 patients were included in the study. After LVAD implantation, the heart sizes of the patients obviously reduced and the left heart contractibility function improved. The right ventricular contractibility remained stable. The proportion of the patients with moderate to severe mitral regurgitation was significantly reduced, but patients with mild to moderate aortic insufficiency increased. No serious complications such as death, pericardial tamponade and thrombosis events were observed during the follow-up period.Conclusion:LVAD implantation improved the left cardiac function, while the right cardiac function remained stable. However, it should be paid attention that the aortic valve function was impaired after the surgery. Generally, the early results of LVAD implantation for the treatment of end-stage heart failure were satisfactory.

Objective To explore the value of artificial intelligence federated learning system based on chest X-ray films for pathogen diagnosis of community-acquired pneumonia(CAP)in children.Methods Totally 900 cases of CAP children from 2 hospitals were retrospectively enrolled,including bacterial,viral and mycoplasma CAP(each n=300),and chest posteroanterior X-ray films were collected.Meanwhile,chest posteroanterior X-ray films of 5856 children from the publicly available dataset GWCMCx were collected,including 4273 CAP images and 1583 healthy chest images.All above 6756 images were divided into training set(n=5359)and validation set(n=1397)at the ratio of 8∶2.Then a pathogen diagnosis model of children CAP was established based on attention mechanism.Binary and ternary diagnostic algorithms were designed,and federated deployment training was performed.The efficacy of this system for pathogen diagnosis of children CAP was analyzed and compared with DenseNet model.Results Based on all data,the accuracy of the obtained artificial intelligence federated learning system model for diagnosing children CAP was 97.00%,with the area under the curve(AUC)of 0.990.Based on hospital data,the AUC of this system using single imaging data and clinical-imaging data for pathogen diagnosis of children CAP was 0.858 and 0.836,respectively,both better than that of DenseNet model(0.740,both P＜0.05).Conclusion The artificial intelligence federated learning system based on chest X-ray films could be used for pathogen diagnosis of children CAP.

Objective:To investigate the association of R wave peak time(RWPT)with severity of coronary artery disease and short-term prognosis in patients with acute coronary syndrome(ACS).Methods:A total of 133 ACS patients who were treated in Shenzhen Longhua District Central Hospital between January 2019 and June 2022 and received coronary angiography were selected.According to number of diseased coronary arteries,they were divided into single-vessel coronary disease group(n=43),double-vessel coronary disease group(n=51)and multi-vessel coronary disease group(n=39);according to severity of coronary artery disease,they were divided into mild group(n=40),medium group(n=48)and severe group(n=45).ECG indexes were compared among groups with different number of diseased coronary arteries and severity of coronary artery disease.Pearson correlation analysis was used to analyze corre-lation between ECG indexes and Gensini score;patients were divided into major adverse cardiovascular events(MACE)group(n=46)and no MACE group(n=87)according to presence of MACE during hospitalization.Clinical data were compared between two groups,and multivariate Logistic regression was used to analyze risk factors of MACE during hospi-talization in ACS patients.Results:QRS duration and RWPT significantly increased according to the order of single-ves-sel,double-vessel and multi-vessel coronary disease group(P＜0.05 or＜0.01);QRS duration and RWPT significantly increased according to the order of mild,medium and severe group(P＜0.05 or＜0.01).Pearson correlation analysis indi-cated that QRS duration and RWPT were significant positively correlated with Gensini score in ACS patients(r=0.222,0.557,P=0.010,＜0.001).Multivariate Logistic regression analysis indicated that hypertension,diabetes,RWPT,Gensini score and multi-vessel disease were independent risk factors for MACE during hospitalization in ACS patients(OR=3.171～9.360,P＜0.05 or＜0.01).Conclusion:RWPT is closely related to the severity of coronary artery disease in ACS patients.RWPT detection helps to guide risk stratification and secondary prevention of ACS patients,therefore im-prove their short-term prognosis.

Objective:To analyze the expression levels and clinical significance of interferon (IFN)-α/β in the renal cortex and serum of children with lupus nephritis (LN).Methods:A total of 32 children with LN diagnosed in the pediatric nephrology department of the Second Xiangya Hospital of Central South University from December 2017 to September 2020 were selected as the study subjects (LN group). The normal kidney control group consisted of 3 normal kidney transplant volunteers who underwent biopsy of kidney tissue (normal kidney control group), while 14 healthy children who underwent physical examination were collected as the normal control group. According to the Systemic Lupus Erythematosus Disease Activity Index (SLEDAI), LN patients were divided into mild activity group ( n=8), moderate activity group ( n=9), and severe activity group ( n=15). According to the International Society of Nephrology/Society of Nephrology (ISN/RPS) 2003 LN classification criteria, pathological classification was performed (3 cases in the mild pathological damage group, 8 cases in the moderate pathological damage group, and 11 cases in the severe pathological damage group); Immunohistochemistry was used to detect the expression and distribution of IFN-α/β in glomeruli and renal interstitium; Enzyme linked immunosorbent assay (ELISA) was used to detect the concentration of IFN-α/β in serum samples and analyze its correlation with the pathological classification and disease activity of LN patients. Results:The serum and renal cortex IFN-α/β levels in the LN group were higher than those in the normal control group and normal kidney control group, respectively (all P<0.05). The average level of serum IFN-α/β in the heavy activity group was higher than that in the light and moderate activity groups (all P<0.05). The serum and renal cortex IFN-α/β levels in the severe pathological damage group were significantly higher than those in the mild and moderate pathological damage groups (all P<0.05). Conclusions:IFN-α/β in the renal cortex is closely related to renal injury in LN; Serum IFN-α/β can assist in evaluating the disease activity level of LN to a certain extent.

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*