Radiotherapy is a crucial treatment modality for head and neck tumors. However, while effectively killing tumor cells, it significantly disrupts the homeostasis of the oral microecology, which is closely associated with various complications such as radiation-induced oral mucositis. Literature review indicates that as radiotherapy doses accumulate and treatment durations extend, the richness and diversity of the oral microbiota show a declining trend, with the genus Streptococcus decreasing most markedly. In contrast, radiotherapy selectively promotes the proliferation of bacterial phyla such as Proteobacteria and Bacteroidetes, which are rich in opportunistic pathogens. Mechanistically, radiotherapy activates the nuclear factor-kappa B pathway, triggering chronic inflammation and oxidative stress, damaging the epithelial barrier, suppressing local immunity, and causing damage to organs such as the salivary glands. It can also induce systemic diseases via the oral-gut axis, forming a multi-level, interconnected pathogenic network. In terms of interventions, treatment strategies including probiotics and prebiotics have shown promising efficacy against side effects such as radiation-induced oral mucositis. Saliva-based oral microbiota transplantation is an emerging strategy that is expected to become widely utilized for restoring oral microecological balance. Existing interventions provide preliminary pathways for clinical practice, but this field still faces several key scientific questions. The association between oral microecology and systemic diseases remains largely correlative, lacking causal evidence. Furthermore, critical parameters for oral microbiota transplantation, such as donor screening criteria, transplantation protocols, and long-term safety, are not yet well-defined. Therefore, future research should focus on conducting large-scale clinical trials to establish standardized protocols and safety evaluation systems for oral microecological interventions, and explore combined treatment therapies such as probiotics, prebiotics, and microbiota transplantation to advance the development of personalized precision modulation. These will enable more effective management of radiotherapy-induced oral microecological dysbiosis and improve treatment outcomes and quality of life for patients with head and neck tumors.

Background: This study was performed to characterize the incidence, costs, and risk factors associated with renal and cardiovascular adverse outcomes following primary percutaneous coronary intervention (pPCI) in patients with ST-elevation myocardial infarction (STEMI). Methods: Patients with STEMI who underwent pPCI using iso-osmolar contrast were enrolled at 39 centers. The incidence of acute kidney injury (AKI) and major adverse renal and cardiovascular events (MARCE) was analyzed, as well as inpatient costs. Logistic regression analysis was performed to identify risk factors. Results: Among 2,293 patients, the incidence of AKI and MARCE within 72 hours post-pPCI was 4.14% (n = 95) and 4.40% (n = 101), respectively. AKI and/or MARCE were associated with systolic blood pressure (AKI: odds ratio [OR], 1.009; 95% confidence interval [CI], 1.000–1.018), hypertension (AKI: OR, 1.815; 95% CI, 1.133–2.906; MARCE: OR, 1.760;95% CI, 1.118–2.769), anterior wall infarction (AKI: OR, 1.895; 95% CI, 1.196–3.004; MARCE:OR, 1.939; 95% CI, 1.240–3.032), Killip class (AKI: OR, 1.465; 95% CI, 1.117–1.922; MARCE:OR, 1.467; 95% CI, 1.131–1.903), and serum creatinine (SCr; MARCE: OR, 1.006; 95% CI, 1.000–1.012). Hospitalization costs for patients with STEMI who developed AKI or MARCE were significantly higher than for those without AKI (9,595 ± 5,795 vs. 8,279 ± 3,872 USD, P = 0.003) or without MARCE (9,890 ± 5,616 vs. 8,255 ± 3,859 USD, P < 0.001). Conclusions In patients with STEMI undergoing pPCI with iso-osmolar contrast, the incidence of AKI and MARCE was associated with higher hospitalization costs. Systolic blood pressure, hypertension, anterior wall infarction, Killip class, and SCr were identified as risk factors for these outcomes.

ObjectiveTo systematically screen and validate key immunogenic cell death （ICD）-related genes that play important roles in primary sjögren’s syndrome （pSS） using multi-omics data. MethodsGene expression profiles of pSS patients and healthy controls （GSE66795， 131pSS patients/29 healthy controls） were obtained from the Gene Expression Omnibus （GEO） database. Candidate genes were selected by intersecting these profiles with known ICD core gene sets and pSS-related targets. The CIBERSORT algorithm was used to analyze immune cell infiltration characteristics. Validation of gene expression was performed using transcriptomic data from sorted CD8⁺ T cell subsets （GSE93683）. Finally， labial gland tissues and peripheral blood samples from 10 pSS patients and 4 healthy controls were collected， and key genes were experimentally validated by reverse transcription quantitative polymerase chain reaction （RT-qPCR）. ResultsSeven intersecting genes from the ICD-differentially expressed genes （DEGs）-pSS intersection were identified ［caspase 1 （CASP1）， forkhead box P3 （FOXP3）， interferon-gamma （IFNG）， myeloid differentiation primary response 88 （MYD88）， toll-like receptor 7 （TLR7）， DExD/H-box helicase 58 （DDX58）， and interferon induced helicase C domain 1 （IFIH1）］. Immune infiltration analysis showed that in pSS labial gland tissues， the proportions of naïve B cells and dendritic cells significantly increased， while the proportions of resting NK cells and M0 macrophages decreased （P<0.05）. Transcriptomic data of CD8⁺T cell subsets indicated that IFIH1 expression was significantly elevated in central memory CD8⁺T cells （P<0.05）. RT-qPCR experimental validation revealed that DDX58， IFIH1， and CASP1 were significantly upregulated in both peripheral blood leukocytes and labial gland tissues of pSS patients （all P<0.05）， whereas IFNG expression increased in peripheral blood but decreased in labial gland tissues （P<0.05）. ConclusionThis study identified and confirmed DDX58， IFIH1， CASP1， and IFNG as key ICD-related genes in pSS through a combination of bioinformatics and experimental validation， providing new candidate targets for further understanding the immunopathological mechanisms of pSS.

Neuroscience is a significant frontier discipline within the natural sciences and has become an important interdisciplinary frontier scientific field. Brain is one of the most complex organs in the human body, and its structural and functional analysis is considered the “ultimate frontier” of human self-awareness and exploration of nature. Driven by the strategic layout of “China Brain Project”, Chinese scientists have conducted systematic research focusing on “understanding the brain, simulating the brain, and protecting the brain”. They have made breakthrough progress in areas such as the principles of brain cognition, mechanisms and interventions for brain diseases, brain-like computation, and applications of brain-machine intelligence technology, aiming to enhance brain health through biomedical technology and improve the quality of human life. Due to limited understanding and comprehension of neuroscience, there are still many important unresolved issues in the field of neuroscience, resulting in a lack of effective measures to prevent and protect brain health. Therefore, in addition to actively developing new generation drugs, exploring non pharmacological treatment strategies with better health benefits and higher safety is particularly important. Epidemiological data shows that, exercise is not only an indispensable part of daily life but also an important non-pharmacological approach for protecting brain health and preventing neurodegenerative diseases, forming an emerging research field known as motor neuroscience. Basic research in motor neuroscience primarily focuses on analyzing the dynamic coding mechanisms of neural circuits involved in motor control, breakthroughs in motor neuroscience research depend on the construction of dynamic monitoring systems across temporal and spatial scales. Therefore, high spatiotemporal resolution detection of movement processes and movement-induced changes in brain structure and neural activity signals is an important technical foundation for conducting motor neuroscience research and has developed a set of tools based on traditional neuroscience methods combined with novel motor behavior decoding technologies, providing an innovative technical platform for motor neuroscience research. The protective effect of exercise in neurodegenerative diseases provides broad application prospects for its clinical translation. Applied research in motor neuroscience centers on deciphering the regulatory networks of neuroprotective molecules mediated by exercise. From the perspectives of exercise promoting neurogenesis and regeneration, enhancing synaptic plasticity, modulating neuronal functional activity, and remodeling the molecular homeostasis of the neuronal microenvironment, it aims to improve cognitive function and reduce the incidence of Parkinson’s disease and Alzheimer’s disease. This has also advanced research into the molecular regulatory networks mediating exercise-induced neuroprotection and facilitated the clinical application and promotion of exercise rehabilitation strategies. Multidimensional analysis of exercise-regulated neural plasticity is the theoretical basis for elucidating the brain-protective mechanisms mediated by exercise and developing intervention strategies for neurological diseases. Thus,real-time analysis of different neural signals during active exercise is needed to study the health effects of exercise throughout the entire life cycle and enhance lifelong sports awareness. Therefore, this article will systematically summarize the innovative technological developments in motor neuroscience research, review the mechanisms of neural plasticity that exercise utilizes to protect the brain, and explore the role of exercise in the prevention and treatment of major neurodegenerative diseases. This aims to provide new ideas for future theoretical innovations and clinical applications in the field of exercise-induced brain protection.

Objective This study aimed to explore the clinical and etiological characteristics of bloodstream infections in diabetic patients with different levels of glycosylated hemoglobin(HbA1c)for improving empirical diagnosis and treatment in clinical practice.Methods A retrospective study was conducted for diabetic patients with bloodstream infections who were admitted to Sichuan Mental Health Center from 2017 to 2023.Patients were assigned to one of the three groups based on HbA1c levels:low level(HbA1c＜7.0％),medium level(7.0％≤HbA1c＜9.0％),high level(HbA1c≥9.0％).The clinical data,pathogen distribution,and antimicrobial resistance were analyzed and compared between groups.Results A total of 426 diabetic patients with bloodstream infection were included.The proportion of community-acquired bloodstream infection,acidosis,and liver abscess in the high level HbA1c group were significantly higher than those in the medium and low level HbA1c groups.Overall,452 strains of nonduplicate pathogenic bacteria were isolated,the most common of which were Escherichia coli(47.1％),Klebsiella pneumoniae(23.0％),and Staphylococcus aureus(5.8％).The pathogens of bloodstream infections varied with different HbA1c levels.The proportion of K.pneumoniae in the high-level HbA1c group(30.7％)was significantly higher than that in the low-level HbA1c group(15.1％)and medium level HbA1c group(16.0％).More than 50％of E.coli isolates were resistant to piperacillin,cefazolin,and ampicillin,while lower than 10％of the isolates were resistant to cefoxitin and minocycline,and lower than 1％of the isolates were resistant to piperacillin-tazobactam,meropenem,imipenem,and amikacin.The E.coli strains isolated from hospital-acquired infections showed slightly higher resistance rates to penicillin,cephalosporins,aminoglycosides,and fluoroquinolones than the strains isolated from community-acquired infections.K.pneumoniae strains showed low resistance rates(＜30％)to the commonly used antibiotics.However,the strains isolated from hospital-acquired infections were significantly more resistant to cephalosporins,carbapenems,and aminoglycosides than the strains isolated from community-acquired infections.Conclusions E.coli,K.pneumoniae and S.aureus were the common pathogens of bloodstream infections in diabetic patients.Poor HbA1c control was associated with K.pneumoniae bloodstream infection,especially those originated from liver abscess.The antibiotic-resistant E.coli and K.pneumoniae strains were prevalent in hospital-acquired bloodstream infections in diabetic patients.Antimicrobial resistance surveillance should be strengthened for this patient population.

The rapid screening of bioactive constituents within traditional Chinese medicine (TCM) presents a significant challenge to researchers. Prevailing strategies for the screening of active components in TCM often overlook trace components owing to their concealment by more abundant constituents. To address this limitation, a fishing strategy based on offline two-dimensional liquid chromatography (2D-LC) combined with surface plasmon resonance (SPR) was utilized to screen bioactive trace components targeting peroxiredoxin 3 (PRDX3), using Uncaria alkaloids (UAs) as a case study. Initially, an orthogonal preparative offline 2D-LC system combining a positively charged C₁₈ column and a conventional C₁₈ column under disparate mobile phase conditions was constructed. To fully reveal the trace alkaloids, 13 2D fractions of UAs were prepared, and their components were characterized using mass spectrometry (MS). Subsequently, employing PRDX3 as the targeting protein, a SPR-based screening approach was established and rigorously validated with geissoschizine methyl ether (GSM) serving as a positive control for binding. Employing this refined strategy, 29 candidate binding alkaloids were fished from the 13 2D fractions. Notably, combining offline 2D-LC with SPR increased the yield of candidate binding components from 10 to 29 when compared to SPR-based screening alone. Subsequent binding affinity assays confirmed that PRDX3 was a direct binding target for the 12 fished alkaloids, with isovallesiachotamine (IV), corynoxeine N-oxide (CO-N), and cadambine (CAD) demonstrating the highest affinity for PRDX3. Their interactions were further validated through molecular docking analysis. Subsequent intracellular H₂O₂ measurement assays and transfection experiments confirmed that these three trace alkaloids enhanced PRDX3-mediated H₂O₂ clearance. In conclusion, this study introduced an innovative strategy for the identification of active trace components in TCM. This approach holds promise for accelerating research on medicinal components within this field.

Objective: To examine the association between the left behind status and health risk behaviors (HRB) among adolescents, so as to provide empirical evidence for identifying high risk groups and developing intervention measures for HRB. Methods: From October to November 2023, by using a combination of convenient sampling and cluster sampling,14 964 adolescents from 6 schools in a county level city in Hubei Province (3 junior high schools and 3 senior high schools) and 7 schools in a county level city in Hunan Province (all junior high schools) were selected as the research subjects. The adolescents were divided into non-left-behind, father absent, mother absent, and both parents absent groups based on their left behind status. A self designed adolescent HRB questionnaire was utilized to investigate the prevalence of 12 types of HRBs and their co-existence among the subjects. Multifactorial Logistic regression and unordered multinomial Logistic regression analyses were used to explore the association between the left behind status of adolescents and the occurrence of individual HRBs as well as the co-existence of multiple HRBs. Results: After controlling for gender, age, only child, and subjective socioeconomic status, the results of the multiple factor Logistic regression analysis showed that having father in absence for working was positively associated with screen use long time on school days ( OR= 1.15, 95%CI =1.05-1.26) and rest days ( OR=1.16, 95%CI =1.06-1.26); having mother in absence for working was significantly associated with increased risks of smoking ( OR=1.68, 95%CI =1.22-2.32), spending long time on screen during school days ( OR= 1.19, 95%CI =1.00-1.41)and rest days ( OR=1.36, 95%CI =1.16-1.59), skipping breakfast ( OR=1.20, 95%CI =1.03-1.39), skipping dinner ( OR=1.20, 95%CI =1.01-1.43), not eating fruit ( OR=1.34, 95%CI =1.12-1.61), and consuming sugar sweetened beverages ( OR=1.30, 95%CI =1.09-1.55); having both parents in absence for working was positively associated with screen use on rest days ( OR=1.51, 95%CI =1.38-1.65), skipping dinner ( OR=1.15, 95%CI =1.04-1.27), not eating fruit ( OR=1.80, 95%CI =1.62-1.99),and non suicidal self injury ( OR=1.16, 95%CI =1.04-1.29), and negatively associated with fast food consumption ( OR=0.72, 95%CI =0.65-0.79)(all P <0.05).The results of unordered multiclass Logistic regression analysis showed that mother absence for working was associated with an increased risk of moderate and high co-occurrence of HRBs ( OR= 1.25, 95%CI=1.06-1.47; OR=1.67, 95%CI =1.30-2.13), both parents absence for working was also positively correlated with a high cooccurrence risk of HRBs ( OR=1.29, 95%CI =1.11-1.50) (all P <0.05). Conclusion Father absence for working is only related to adolescents screen time, while adolescents with mother absence or both parents absent for working are priority groups for HRB prevention.

Kidney-Yang deficiency syndrome is a common geriatric disease that underlies chronic conditions such as diabetic nephropathy, chronic kidney disease, and osteoporosis. As age progresses, the kidney-Yang deficiency syndrome showcases increasingly pronounced manifestations, emerging as a key factor in the comorbidities experienced by elderly patients and affecting their quality of life and overall health status. Traditional Chinese medicine(TCM) has been extensively utilized in the treatment of kidney-Yang deficiency syndrome, with Epimedii Folium, Cinnamomi Cortex, and Lycii Fructus widely used in clinical settings. Despite the complexity of the molecular mechanisms involved in treating kidney-Yang deficiency syndrome, the potential therapeutic value of TCM remains compelling. Delving into the mechanisms of TCM treatment of kidney-Yang deficiency syndrome by regulating the neuro-endocrine-immune system can provide a scientific basis for targeted treatments of this syndrome and lay a foundation for the modernization of TCM. The pathophysiology of kidney-Yang deficiency syndrome involves multiple systems, including the interaction of the neuro-endocrine-immune system, the decline in renal function, the intensification of oxidative stress responses, and energy metabolism disorders. Understanding these mechanisms and their interrelationships can help untangle the etiology of kidney-Yang deficiency syndrome, aiding clinicians in making more precise diagnoses and treatments. Furthermore, the research on the specific applications of TCM in research on these pathological mechanisms can enhance the international recognition and status of TCM, enabling it to exert a greater global influence.
Humans ; Yang Deficiency/physiopathology* ; Drugs, Chinese Herbal/therapeutic use* ; Medicine, Chinese Traditional ; Kidney Diseases/physiopathology* ; Neurosecretory Systems/physiopathology* ; Animals ; Kidney/physiopathology* ; Endocrine System/physiopathology* ; Immune System/physiopathology*

Objective:To investigate the prevalence of sexual drug use in men who have sex with men (MSM) in Chengdu and analyze the relationship between depression and sexual drug use.Methods:A total of 1 277 MSM were recruited between November 2021 and May 2022. Questionnaire was used to collect information about their demographic characteristics, depression status and sexual drug use behavior. Univariate and multivariate logistic regression models were used to analyze the relationship between depression and sexual drug use.Results:In the 1 277 MSM, assessment identified 503 mild depression cases (39.4%), 196 moderate depression cases (15.3%) and 171 severe depression cases (13.4%) and 444 MSM (34.8%) reported sexual drug use in the past 6 months. Multivariate logistic regression models showed that compared with non-depression, mild depression (a OR=1.67,95% CI:1.24-2.23), moderate depression (a OR=1.50,95% CI: 1.02-2.19) and severe depression (a OR=1.56,95% CI:1.04-2.32) were positively associated with sexual drug use. Conclusions:The prevalence of depression and sexual drug use were high in MSM in Chengdu. There was a positive correlation between depression and sexual drug use. It is necessary to pay close attention to depression and sexual drug use and conduct targeted intervention in MSM.

Objective:To explore and model risk factors in patients with major adverse cardiovascular events (MACEs) after acute type A aortic dissection (ATAAD), and to develop and validate a personalized machine learning model to assess risk factors and predict MACEs in these patients.Methods:Clinical data of patients who attended Beijing Anzhen Hospital and underwent surgical treatment for ATAAD from January 2018 to October 2022 were retrospectively analyzed. Using MACEs as the endpoint, 70% of these patients were randomly divided into the training set and the remaining 30% into the validation set. LASSO regression was applied to explore key clinical variables in the training set. The optimal predictive model was selected from nine machine learning algorithms based on area under the curve. And Shapley Additive explanations was used to elucidate the predictive model. Results:Of the 481 patients included in this study, 135 (35.6%) patients experienced an endpoint event. By combining the results of the training and validation sets, when assessing the validity of the single model with the highest predictive accuracy for the outcome, it was shown that the logistic model (0.774, 95% CI: 0.717-0.830) was the most effective in the combined effect and had a high model accuracy (0.743, 95% CI: 0.720-0.766). According to the results of the LASSO, the factors most associated with postoperative MACEs were history of cerebrovascular disease, coronary artery involvement, shock status on admission to the operating room, FDP, PLT, CPB, ascending aortic clamping, and age. Conclusion:In this study, nine machine learning models were developed to predict the occurrence of postoperative MACEs in patients with acute type A aortic dissection. The logistic model performed significantly better compared to other algorithms. Our study successfully predicted postoperative MACES and identified the factors most associated with MACEs.