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Online adaptive radiotherapy(OART)is considered to be a revolutionary technology after intensity-modulated radiotherapy. The first Chinese OART platform based on iterative cone beam computed tomography (iCBCT)has been applied in clinical treatment in Peking Union Medical College Hospital. This article reports the workflow and efficacy of first case with cervical cancer who received radical OART. After treatment, the patient achieved clinical complete remission with only a grade 1 radiation toxicity in the lower gastrointestinal tract. This article analyzes and discusses the clinical treatment process and follow-up data of this patient, aiming to provide clinical evidence for the subsequent large-scale application of artificial intelligence-driven iCBCT-guided OART technology.

Background: Blood biomarkers are crucial for the diagnosis and therapy of Alzheimer's disease (AD). Energy metabolism disturbances are closely related to AD. However, research on blood biomarkers related to energy metabolism is still insufficient. Objective: This study aims to explore the diagnostic and therapeutic significance of energy metabolism-related genes in AD. Methods: AD cohorts were obtained from GEO database and single center. Machine learning algorithms were used to identify key genes. GSEA was used for functional analysis. Six algorithms were utilized to establish and evaluate diagnostic models. Key gene-related drugs were screened through network pharmacology. Results: We identified 4 energy metabolism genes, NDUFA1, MECOM, RPL26, and RPS27. These genes have been confirmed to be closely related to multiple energy metabolic pathways and different types of T cell immune infiltration. Additionally, the transcription factors INSM2 and 4 lncRNAs were involved in regulating 4 genes. Further analysis showed that all biomarkers were downregulated in the AD cohorts and not affected by aging and gender. More importantly, we constructed a diagnostic prediction model of 4 biomarkers, which has been validated by various algorithms for its diagnostic performance. Furthermore, we found that valproic acid mainly interacted with these biomarkers through hydrogen bonding, salt bonding, and hydrophobic interaction. Conclusions: We constructed a predictive model based on 4 energy metabolism genes, which may be helpful for the diagnosis of AD. The 4 validated genes could serve as promising blood biomarkers for AD. Their interaction with valproic acid may play a crucial role in the therapy of AD. [ABSTRACT FROM AUTHOR]

Microbial keratitis (MK) is the fourth leading cause of blindness globally, imposing a substantial burden on the healthcare system. This study aims to determine the cost composition of MK patients and explore factors influencing these expenses. We analyzed the demographics, clinical features, and costs of 602 MK patients treated at Beijing Tongren Hospital from June 2021 to October 2023. The analysis revealed the average total cost of treating MK was USD 1646.8, with a median of USD 550.3 (IQR: 333.3–1239.1). Patients with Acanthamoeba keratitis (AK) incurred the highest median total costs at USD 706.2 (IQR: 399.2–3370.2). Additionally, AK patients faced the highest costs for ophthalmic exams and laboratory tests (both p < 0.001), while patients with fungal keratitis (FK) and viral keratitis (VK) experienced higher medication costs. Costs varied significantly with the severity of MK, especially for outpatients at severity level 4, which was markedly higher than levels 1–3 (USD 1520.1 vs. USD 401.0, p < 0.001). Delayed presentation also resulted in increased costs (USD 385.2 vs. USD 600.3, p < 0.001). Our study highlights the financial burden associated with MK treatment and underscores the importance of timely and accurate diagnosis and intervention. [ABSTRACT FROM AUTHOR]

Bimetallic PtSn catalysts with notable activity and selectivity are widely used in propane dehydrogenation to propylene. However, at high temperature, catalysts are prone to carbon deposition, leading to a decrease in stability. CO2-oxidative propane dehydrogenation (CO2-PDH) has become a new research hotspot due to its potential to eliminate carbon deposition and promote the forward movement of dehydrogenation reaction while converting propane. The reverse water-gas shift catalyst β-Mo2C with propane dehydrogenation catalyst PtSn@S-1 were mixed in CO2-PDH, aiming to develop highly active, selective and stable catalysts. The catalysts were characterized by XRD, CO2-TPD, C3H6-TPD, and thermogravimetric analysis. The research results indicate that in CO2-PDH, the stability of the powder-mixed tandem catalyst PtSn@S-1& β-Mo2C significantly improves by adding β-Mo2C in series to PtSn@S-1, and the catalyst remains active without deactivation during continuous operation for 1440 min, and the high stability of the catalyst is attributed to the removal of partial carbon deposition by CO2 during the reaction process. After optimizing the reaction conditions, it is found that when n(CO2): n(C3H8) is 1.0 and m(PtSn@S-1):m(β-Mo2C) is 1.0: 0.4, the powder-mixed tandem catalyst PtSn@S-1& β-Mo2C exhibites the best performance in CO2-PDH. The propane conversion rate remains stable at above 43.0% after 500 min and propylene selectivity exceeds 99%. [ABSTRACT FROM AUTHOR]

Our objective is to clarify the effects of acupuncture on hippocampal connectivity in patients with Alzheimer disease (AD) using functional magnetic resonance imaging (fMRI). Twenty-eight right-handed subjects (14 AD patients and 14 healthy elders) participated in this study. Clinical and neuropsychological examinations were performed on all subjects. MRI was performed using a SIEMENS verio 3-Tesla scanner. The fMRI study used a single block experimental design. We first acquired baseline resting state data during the initial 3 minutes and then performed acupuncture stimulation on the Tai chong and He gu acupoints for 3 minutes. Last, we acquired fMRI data for another 10 minutes after the needle was withdrawn. The preprocessing and data analysis were performed using statistical parametric mapping (SPM5) software. Two-sample t-tests were performed using data from the two groups in different states. We found that during the resting state, several frontal and temporal regions showed decreased hippocampal connectivity in AD patients relative to control subjects. During the resting state following acupuncture, AD patients showed increased connectivity in most of these hippocampus related regions compared to the first resting state. In conclusion, we investigated the effect of acupuncture on AD patients by combing fMRI and traditional acupuncture. Our fMRI study confirmed that acupuncture at Tai chong and He gu can enhance the hippocampal connectivity in AD patients.