Sleep deprivation (SD) has emerged as a significant modifiable risk factor for Alzheimer’s disease (AD), with mounting evidence demonstrating its multifaceted role in accelerating AD pathogenesis through diverse molecular, cellular, and systemic mechanisms. SD is refined within the broader spectrum of sleep-wake and circadian disruption, emphasizing that both acute total sleep loss and chronic sleep restriction destabilize the homeostatic and circadian processes governing glymphatic clearance of neurotoxic proteins. During normal sleep, concentrations of interstitial Aβ and tau fall as cerebrospinal fluid oscillations flush extracellular waste; SD abolishes this rhythm, causing overnight rises in soluble Aβ and tau species in rodent hippocampus and human CSF. Orexinergic neurons sustain arousal, and become hyperactive under SD, further delaying sleep onset and amplifying Aβ production. At the molecular level, SD disrupts Aβ homeostasis through multiple converging pathways, including enhanced production via beta-site APP cleaving enzyme 1 (BACE1) upregulation, coupled with impaired clearance mechanisms involving the glymphatic system dysfunction and reduced Aβ-degrading enzymes (neprilysin and insulin-degrading enzyme). Cellular and histological analyses revealed that these proteinopathies are significantly exacerbated by SD-induced neuroinflammatory cascades characterized by microglial overactivation, astrocyte reactivity, and sustained elevation of pro-inflammatory cytokines (IL-1β, TNF-α, IL-6) through NF‑κB signaling and NLRP3 inflammasome activation, creating a self-perpetuating cycle of neurotoxicity. The synaptic and neuronal consequences of chronic SD are particularly profound and potentially irreversible, featuring reduced expression of critical synaptic markers (PSD95, synaptophysin), impaired long-term potentiation (LTP), dendritic spine loss, and diminished neurotrophic support, especially brain-derived neurotrophic factor (BDNF) depletion, which collectively contribute to progressive cognitive decline and memory deficits. Mechanistic investigations identify three core pathways through which SD exerts its neurodegenerative effects: circadian rhythm disruption via BMAL1 suppression, orexin system hyperactivity leading to sustained wakefulness and metabolic stress, and oxidative stress accumulation through mitochondrial dysfunction and reactive oxygen species overproduction. The review critically evaluates promising therapeutic interventions including pharmacological approaches (melatonin, dual orexin receptor antagonists), metabolic strategies (ketogenic diets, and Mediterranean diets rich in omega-3 fatty acids), lifestyle modifications (targeted exercise regimens, cognitive behavioral therapy for insomnia), and emerging technologies (non-invasive photobiomodulation, transcranial magnetic stimulation). Current research limitations include insufficient understanding of dose-response relationships between SD duration/intensity and AD pathology progression, lack of long-term longitudinal clinical data in genetically vulnerable populations (particularly APOE ε4 carriers and those with familial AD mutations), the absence of standardized SD protocols across experimental models that accurately mimic human chronic sleep restriction patterns, and limited investigation of sex differences in SD-induced AD risk. The accumulated evidence underscores the importance of addressing sleep disturbances as part of multimodal AD prevention strategies and highlights the urgent need for clinical trials evaluating sleep-focused interventions in at-risk populations. The review proposes future directions focused on translating mechanistic insights into precision medicine approaches, emphasizing the need for biomarkers to identify SD-vulnerable individuals, chronotherapeutic strategies aligned with circadian biology, and multi-omics integration across sleep, proteostasis and immune profiles may delineate precision-medicine strategies for at-risk populations. By systematically examining these critical connections, this analysis positions sleep quality optimization as a viable strategy for AD prevention and early intervention while providing a comprehensive roadmap for future mechanistic and interventional research in this rapidly evolving field.

Objective:To investigate the application value of the maximum standardized uptake value (SUVmax) of 18F prostate-specific membrane antigen (PSMA) PET/CT combined with the minimum apparent diffusion coefficient (ADCmin) of biparametric magnetic resonance imaging (bpMRI) in predicting pathological upgrading after radical prostatectomy (RP) for prostate cancer. Methods:The data of 89 patients with localized prostate cancer treated at Beijing Hospital from April 2019 to October 2023 were retrospectively analysed. The average age of patients was (68.4±7.0) years old, with prostate-specific antigen (PSA) level of 7.7 (5.4, 12.9) ng/ml, prostate volume of 34.6 (26.9, 47.1) ml, tumor diameter of 1.3 (1.0, 1.8) cm, prostate imaging reporting and data system(PI-RADS) score of 5 in 29 cases (32.6%), clinical stage ≥T 3 in 13 cases (14.6%). There were 31 cases (34.8%) in group 1 of targeted biopsy International Society of Urological Pathology (ISUP)grading groups, 36 cases (40.4%) in group 2, 11 cases (12.4%) in group 3, and 11 cases (12.4%) in group 4. All patients underwent 18F-PSMA PET/CT and bpMRI examinations before RP. The index lesion, identified as the highest Gleason score in pathological whole-mount sections, were outlined. SUVmax and ADCmin values were calculated from the images' region of interest. Pathological upgrading was defined as the post-RP grade group higher than the targeted-biopsy grade group. Clinical data of patients with and without pathological upgrading were compared. Spearman correlation coefficient analysis was used to assess the correlation between SUVmax and ADCmin. Multivariate logistic regression analysis was conducted to evaluate the factors influencing pathological upgrading. Receiver operating characteristic (ROC) curve analysis was employed to assess the predictive value of each indicator for pathological upgrading. Results:Among the 89 cases, 31 cases (34.8%) experienced pathological upgrading. Compared with the patients without pathological upgrading, the SUVmax [11.3 (8.1, 16.4) vs. 6.7 (4.6, 9.2)], SUVmax/ADCmin ratio [3.1 (2.0, 4.6) vs. 1.4 (0.9, 2.1)], PSA [9.8 (6.3, 15.6) ng/ml vs. 7.1 (5.1, 10.5) ng/ml], PSA density [0.3 (0.2, 0.5) ng/ml 2 vs. 0.2 (0.1, 0.3) ng/ml 2], and post-RP ISUP grade group [≥3 group 17 cases (54.8%) vs. 13 cases(22.4%) ]were higher in patients with pathological upgrading, while ADCmin [3.8 (3.0, 5.3) ×10 -4 mm 2/s vs. 5.2 (3.6, 6.1)×10 -4 mm 2/s] and targeted biopsy ISUP grade group [≤2 group 27 cases(87.1%) vs. 40 cases(69.0%) ] were lower (all P<0.05). Spearman analysis showed a negative correlation between SUVmax and ADCmin ( R = -0.227, P = 0.032). Multivariate logistic regression analysis revealed that SUVmax ( OR = 1.108, 95% CI 1.020-1.238), ADCmin ( OR=0.607, 95% CI 0.390-0.874), and SUVmax/ADCmin ratio ( OR = 1.815, 95% CI 1.282-2.949) independently predicted pathological upgrading. The AUC of the SUVmax/ADCmin ratio for predicting pathological upgrading (AUC = 0.817) was higher than that of SUVmax (AUC = 0.774) and ADCmin (AUC=0.686), indicating a higher predictive efficiency. Conclusions:SUVmax, ADCmin, and SUVmax/ADCmin ratio can independently predict pathological upgrading in targeted biopsy of prostate cancer. The SUVmax/ADCmin ratio has a stronger predictive value for pathological upgrading.

Cerebrospinal fluid morphology examination is an important method of diagnosing central nervous system diseases, but manual microscopy has shortcomings such as low efficiency, long staff training period, and poor homogeneity of test results. In recent years, the application of artificial intelligence in the medical field has developed rapidly, providing new technical means for cerebrospinal fluid morphology examination. In the future, AI-assisted morphological examination of cerebrospinal fluid will not only realize digitalization and networking, but also improve the level and efficiency of intelligent diagnosis of cerebrospinal fluid morphology, which has a broad application prospect in the intelligent assisted diagnosis of cerebrospinal fluid.

Objective To study the occurrence of tinnitus in elderly population in the Chengqiao area of Chongming Island,Shanghai,and explore the influencing factors,so as to provide reference for prevention and treatment of tinnitus in special areas.Methods A combination of questionnaire surveys,scale assessments,and pure-tone audiometry test were employed in this study.The study involved 6 358 elderly individuals who underwent health examinations at the Chengqiao Town Community Health Service Center in Chongming,Shanghai,from June 2019 to December 2021.Single and multiple factor analysis methods were used to analyze the impact of 13 factors,including gender,age,hearing status,sleep quality,anxiety and depression status,history of alcohol consumption,smoking history,history of noise exposure,history of ototoxic drug use,hypertension,diabetes,hyperlipidemia,and coronary heart disease on tinnitus in the elderly population.Results ① Among the 6 358 elderly cases,there were 2 110 cases with tinnitus,and the incidence rate of tinnitus was 33.2％(2 110/6 358),and 1 712 cases were chronic tinnitus(81.1％),and 1 156 cases were bilateral tinnitus(54.8％).According to THI score,there were 1 012 patients(48％)were mild tinnitus,and 2 030 patients(96.2％)with average hearing threshold ≥25 dB HL.② Univariate analysis showed that age,hearing status,sleep quality,anxiety and depression,history of noise expo-sure,history of ototoxic drugs,and history of hypertension were related to the occurrence of tinnitus.Further bina-ry logistic regression analysis showed that increasing age(OR=1.10,95％CI 1.09～1.11,P＜0.001),hearing loss(OR=5.56,95％CI 4.31～7.18,P＜0.001),sleep disorder(OR=3.32,95％CI 2.82～3.91,P＜0.001),anxiety depression(OR=2.02,95％CI 1.71～2.39,P＜0.001),history of noise exposure(OR=3.67,95％CI 3.20～4.21,P＜0.001),history of ototoxic drugs(OR=2.20,95％CI 1.84～2.64,P＜0.001)and history of hy-pertension(OR=1.73,95％CI 1.53～1.95,P＜0.001)increased the risk of tinnitus.Conclusion The incidence of tinnitus in the elderly people in the Chengqiao area of Chongming is relatively high.Factors such as age,hearing status,sleep quality,anxiety and depression,history of noise exposure,history of ototoxic drugs,and history of hypertension are risk factors for the occurrence of tinnitus in the elderly population.

During the progression of heart failure(HF),abnormal transduction of the transforming growth factor-β(TGF-β)/Smads signaling pathway is important mechanism of myocardial fibrosis(MF)in HF.TGF-β,a key factor in MF,is in an overexpression state in the process of MF in HF,and Smads is a major effector downstream of TGF-β.The TGF-β/Smads pathway induces abnormal proliferation of myofibroblasts,aggravates myocardial extracellular matrix deposition,and reduces the ability of the cardiac tissues to resist fibrosis,which plays a complex role in the pathogenesis of MF in HF.Traditional Chinese medicine(TCM)has the efficacy of unequivocal inhibiting myocardial collagen deposition,anti-MF,protecting the myocardium and improving cardiac function in the prevention and treatment of MF in HF and so on,and the TGF-β/Smads pathway is one of the key pathways through which TCM monomers,TCM combinations,and proprietary medicines can exert their cardioprotective effects on the HF.This paper reviews the existing experimental research results of TCM intervening in the TGF-β/Smads pathway for the treatment of MF in HF over the past 10 years,with a view to providing theoretical basis for the prevention and treatment of HF MF well as the development and of new drugs.

Objective:To explore the incidence of sudden deafness accompanied with tinnitus, the selection of examination protocols and treatment, and to provide reference for the establishment of new guidelines for sudden deafness.Methods:CiteSpace software was used for analysis and data mining to analyze and summarize the computer-retrieved articles on diagnostic examination and treatment of sudden deafness accompanied with tinnitus collected from CNIC, Wanfang and Web of Science databases from 2011 to 2021.Results:A total of 207 randomized controlled studies were retrieved in this study, including 121 in Chinese and 86 in English. Finally, 74 Chinese literatures and 16 English literatures were included. Among the 74 valid Chinese literatures, 64 (86.5%) were accompanied with tinnitus, 58 (78.4%) with dizziness/vertigo, 25 (33.8%) with aural fullness, 10 (13.5%) with headache, 4 (5.4%) with insomnia, 4 (5.4%) with a mixture of dizziness and tinnitus, and 2 (2.7%) with vomiting. Among the 16 English literatures, 15 (93.8%) were accompanied with tinnitus, 12 (75.0%) with vertigo, 1 (6.3%) with aural fullness, and 1 (6.3%) with a mixture of various symptoms. Among the 64 Chinese articles mentioning tinnitus, only 9 mentioned tinnitus matching tests, and 1 mentioned that the treatment for tinnitus accompanying symptoms was sound therapy and psychological counseling. The incidence rates of tinnitus accompanying four different types of sudden deafness, from low to high, are as follows: low-to-mid frequency, 82.4%; mid-to-high frequency, 90.7%; complete deafness, 92.4%; and flat type, 92.8%.Conclusion:Tinnitus is the most common accompanying symptom of sudden deafness, and tinnitus matching test is an effective evaluation method. When establishing a scientific, comprehensive, and systematic diagnosis and treatment system or guidelines for sudden deafness, attention should be paid to the diagnosis and treatment of tinnitus symptoms and their adverse psychological reactions, in order to reduce the incidence of tinnitus patients in the later stage of recovery from sudden deafness.

Objective To construct a high-quality practical teaching system of rehabilitation majors for undergraduate based on World Health Organization rehabilitation competence framework(RCF). Methods Using the principles and methods of RCF,the competency requirements for rehabilitation therapy were ana-lyzed and a practical teaching system suitable for undergraduate education in rehabilitation therapy was construct-ed. Results The rehabilitation practice education were constructed as practice courses,clinical practice and social service practice,and the practice education modules and objectives were discussed based on RCF. Conclusion A competency-oriented rehabilitation practice education system has been constructed based on RCF,includ-ing practice courses,clinical practice and social service practice.

Following the principles of evidence-based medicine,in accordance with the structure and drafting rules of standardized documents,based on literature research,according to the characteristics of chronic cough in children and issues that need to form a consensus,the TCM Guidelines for Diagnosis and Treatment of Chronic Cough in Children was formulated based on the Delphi method,expert discussion meetings,and public solicitation of opinions.The guideline includes scope of application,terms and definitions,eti-ology and diagnosis,auxiliary examination,treatment,prevention and care.The aim is to clarify the optimal treatment plan of Chinese medicine in the diagnosis and treatment of this disease,and to provide guidance for improving the clinical diagnosis and treatment of chronic cough in children with Chinese medicine.

Objective To explore the risk factors for lower limb venous thrombosis in patients after craniocerebral surgery,and establish a prognostic nomogram for the occurrence of lower limb venous thrombosis.Methods A total of 427 patients who underwent craniotomy for craniocerebral trauma and met the inclusion criteria in the First People's Hospital of Taicang from January 2018 to December 2020 were collected as training group,and the nomogram was drawn and verified internally.And 106 patients who underwent surgery from January 2021 to June 2021 were used as test group,and the model was externally verified set.The nomogram was established and internally validated with the data of the training group,and externally validated with the data of the test group.For the training group,multivariate Logistic regression analysis was performed by including all variables with P＜0.05 in univariate analysis,and established the prognostic nomogram by R software.In the training group and the test group,the performance of the nomogram was verified by C-index,calibration chart and decision curve analysis respectively.Results In the training group of 427 people,107 had lower limb venous thrombosis,with an incidence rate of 25.1％.Among the 106 people in the test group,33 developed lower limb venous thrombosis,with an incidence rate of 31.1％.Multivariate logistic regression analysis showed that age,lower preoperative GCS score,postoperative lower limb muscle strength＜3,hypertension,and diabetes were independent risk factors for the occurrence of lower limb vein thrombosis after craniocerebral surgery.The C-index of this nomogram in the training group and the test group was 0.837(95％CI:0.796-0.878)and 0.933(95％CI:0.886-0.979),respectively.Conclusion The nomogram including the age,preoperative GCS score,postoperative lower limb muscle strength＜3,hypertension,and diabetes can predict the probability of lower limb vein thrombosis after craniocerebral surgery with convenient discrimination and clinical utility.

Background/Aims: The performance of machine learning (ML) in predicting the outcomes of patients with hepatocellular carcinoma (HCC) remains uncertain. We aimed to develop risk scores using conventional methods and ML to categorize early-stage HCC patients into distinct prognostic groups. Methods: The study retrospectively enrolled 1,411 consecutive treatment-naïve patients with the Barcelona Clinic Liver Cancer (BCLC) stage 0 to A HCC from 2012 to 2021. The patients were randomly divided into a training cohort (n=988) and validation cohort (n=423). Two risk scores (CATS-IF and CATS-INF) were developed to predict overall survival (OS) in the training cohort using the conventional methods (Cox proportional hazards model) and ML-based methods (LASSO Cox regression), respectively. They were then validated and compared in the validation cohort. Results: In the training cohort, factors for the CATS-IF score were selected by the conventional method, including age, curative treatment, single large HCC, serum creatinine and alpha-fetoprotein levels, fibrosis-4 score, lymphocyte-tomonocyte ratio, and albumin-bilirubin grade. The CATS-INF score, determined by ML-based methods, included the above factors and two additional ones (aspartate aminotransferase and prognostic nutritional index). In the validation cohort, both CATS-IF score and CATS-INF score outperformed other modern prognostic scores in predicting OS, with the CATSINF score having the lowest Akaike information criterion value. A calibration plot exhibited good correlation between predicted and observed outcomes for both scores. Conclusions Both the conventional Cox-based CATS-IF score and ML-based CATS-INF score effectively stratified patients with early-stage HCC into distinct prognostic groups, with the CATS-INF score showing slightly superior performance.