Background With China's socio-economic development, the dietary structure of Chinese residents has gradually shifted from a traditional Eastern pattern characterized by high carbohydrate intake to a relatively high-fat Western dietary model, alongside a growing burden of chronic diseases. However, dietary changes may vary across different occupational groups. Objective To analyze the long-term trends in dietary energy and three major macronutrient intake among various occupational groups aged 18-59 years in nine provinces of China from 1989 to 2018, providing a scientific basis for developing occupation-specific dietary intervention strategies. Methods Based on 11 waves of data (1989–2018) from the China Health and Nutrition Survey (CHNS), 57458 employed individuals aged 18-59 years were selected as observation subjects after applying inclusion and exclusion criteria. Joinpoint regression was used to analyze temporal trends by calculating the annual percentage change (APC) and average annual percentage change (AAPC) with 95% confidence intervals. The analysis covered the energy supply ratio from the three major macronutrients and the proportion of the participants within the acceptable macronutrient distribution ranges (AMDR) for the total occupational population and specific occupational group. Results From 1989 to 2018, the dietary structure of the occupational population in the nine provinces gradually Westernized. The carbohydrate energy supply ratio showed a decreasing trend (AAPC=−0.77%, 95%CI: −1.00%, −0.55%, P<0.05), while the fat energy supply ratio increased (AAPC=1.42%, 95%CI: 1.07%, 1.77%, P<0.05). The protein energy supply ratio remained largely unchanged (AAPC=−0.19%, 95%CI: −0.08%, 0.46%, P>0.05), and the total energy intake declined (AAPC=−0.62%, 95%CI: −0.94%, −0.30%, P<0.05). Among the occupational groups studied, white-collar workers were the first to show characteristics of dietary Westernization. Using the AMDR as the criterion, their average fat energy supply ratio first exceeded the AMDR upper limit (30%) in 1993, and their average carbohydrate energy supply ratio first fell below the AMDR lower limit (50%) in 2006, both time points being earlier than other occupational groups. Agricultural workers lagged in this transition (their average fat energy supply ratio first reached ≥30% in 2011), but their rate of increase in the fat energy supply ratio was the fastest among all occupational groups (AAPC=1.59%, 95%CI: 0.90%, 2.30%, P<0.05; P for trend comparison between groups<0.05). The other three occupational groups (blue-collar workers, service workers, and others) generally fell between these two extremes. Taking the fat energy supply ratio as an example, their AAPCs of increase were 1.02% (95%CI: 0.73%, 1.32%, P<0.05) for blue-collar workers, 0.85% (95%CI: 0.61%, 1.09%, P<0.05) for service workers, and 0.88% (95%CI: 0.58%, 1.17%, P<0.05) for others. Conclusion From 1989 to 2018, the macronutrient structure of the occupational population aged 18-59 years in nine China provinces is gradually Westernized. The energy supply ratios of carbohydrates and proteins primarily face issues of potential inadequacy, while the fat energy supply ratio is excessively high. Furthermore, the patterns of change vary among different occupational groups. It is recommended to propose personalized dietary advice tailored to specific occupations.

Climate change has evolved from an environmental issue into a global public health crisis, posing severe challenges to healthcare systems. Issues such as shifts in patient disease patterns, increased care demands for vulnerable populations, and insufficient resilience in nursing systems are becoming increasingly prominent. As the frontline of healthcare delivery, nursing practice directly confronts multiple health risks triggered by climate change. Under the Healthy China 2030 strategy, the role of nursing in addressing climate change cannot be overlooked. Therefore, this paper systematically reviewed the impacts of climate change on nursing practice and corresponding domestic and international strategies, and proposed recommendations for localized development pathways. First, strengthen climate health literacy in nursing education by integrating the climate change system into curricula and clinical practice. Second, promote nursing policy participation in global health governance to establish a climate-adaptive nursing policy system with Chinese characteristics. Finally, establish a multidisciplinary nursing research framework to foster integration among nursing science, climate science, public health, traditional Chinese medicine, and other relevant fields. This paper aims to provide theoretical foundations for constructing a climate-adaptive nursing system with Chinese characteristics, thereby advancing the coordinated development of Healthy China initiative and climate governance.

AIM: To evaluate the clinical efficacy of intense pulsed light(IPL)therapy in patients with primary Sjogren's syndrome-related dry eye(SS-DE).METHODS:In this prospective randomized trial, 82 cases(82 eyes)diagnosed with moderate-to-severe SS-DE at our hospital from January 2023 to December 2023 were selected. If both eyes meet the criteria, one eye will be randomly selected for inclusion, and if one eye meets the inclusion criteria, the eye will be selected for enrollment. They were randomly assigned to either an experiment group receiving dextran hydroxypropyl methylcellulose eye drops and 0.05% cyclosporine A eye drops plus IPL therapy, or a control group receiving dextran hydroxypropyl methylcellulose eye drops and 0.05% cyclosporine A eye drops. Ocular surface disease index(OSDI)score, tear meniscus height(TMH), noninvasive tear breakup time(NITBUT), meibomian gland loss score, Schirmer I test(SⅠt), corneal fluorescein staining(CFS)score, conjunctival lissamine green staining(CLGS)score, lipid layer thickness(LLT), blink frequency, corneal Langerhans cell density(CLCD)and complications of both groups were assessed at baseline and at 4, 8, and 12 wk after treatment.RESULTS:There were 6 cases lost to follow-up in the experiment group, with a missing rate of 14.6%, and 1 case was lost to follow-up in the control group, with a missing rate of 2.4%, and valid data were eventually obtained from 35 cases(35 eyes)in the experiment group and 40 cases(40 eyes)in the control group. Baseline parameters did not differ significantly between the two groups of patients(all P>0.05). At 4, 8 and 12 wk after treatment, both groups showed significant reductions in OSDI scores, CFS scores, CLGS score, blink frequency, and CLCD, while the reductions were significantly greater in the experiment group compared to the control group(all P<0.05). The experiment group also demonstrated significant increases in TMH, SⅠt, and NITBUT at 4, 8 and 12 wk after treatment, which were significantly greater than those observed in the control group(all P<0.05). No significant intergroup differences were observed in LLT, meibomian gland loss score in the experiment group at any time point(all P>0.05). Furthermore, no severe ocular or cutaneous complications were associated with IPL treatment.CONCLUSION:IPL significantly improves ocular signs and symptoms, enhances aqueous tear secretion, and reduces ocular surface inflammation in patients with SS-DE, with no significant adverse reactions observed.

Medical equipment, as an important indicator of smart hospital evaluation, plays a vital role in hospital operations. To ensure the safe and efficient operation of medical equipment, a reasonable performance evaluation system is indispensable. This study introduces a platform based on Internet of Things (IoT) technology that connects medical devices and collects data, achieving standardized and structured data processing, and supporting online operational supervision. Through the Delphi method, a performance evaluation system for large medical equipment is constructed, including 4 primary indicators and 22 secondary indicators. DICOM data acquisition devices are used to achieve functions such as efficiency analysis, benefit analysis, usage evaluation, and decision-making support for medical equipment. The study is still in its early stages, and in the future, it is expected to integrate more types of equipment, achieve rational resource allocation, and significantly impact decision-making for the development of public hospitals.
Internet of Things ; Delphi Technique

Long-term spaceflight exposes astronauts to multiple extreme environmental factors, such as cosmic radiation, microgravity, social isolation, and circadian rhythm disruption, that markedly increase the risk of depressive symptoms, posing a direct threat to mental health and mission safety. However, the underlying biological mechanisms remain complex and incompletely understood. The potential mechanisms of spaceflight-induced depressive symptoms involve multiple domains, including alterations in brain structure and function, dysregulation of neurotransmitters and neurotrophic factors, oxidative stress, neuroinflammation, neuroendocrine system imbalance, and gut microbiota disturbances. Collectively, these changes may constitute the biological foundation of depressive in astronauts during spaceflight. Space-related stressors may increase the risk of depressive symptoms through several pathways: impairing hippocampal neuroplasticity, suppressing dopaminergic and serotonergic system function, reducing neurotrophic factor expression, triggering oxidative stress and inflammatory responses, activating the hypothalamic-pituitary-adrenal axis, and disrupting gut microbiota homeostasis. Future research should integrate advanced technologies such as brain-computer interfaces to develop individualized monitoring and intervention strategies, enabling real-time detection and effective prevention of depressive symptoms to safeguard astronauts' psychological well-being and mission safety.
Space Flight ; Humans ; Astronauts/psychology* ; Depression/physiopathology* ; Gastrointestinal Microbiome ; Weightlessness/adverse effects* ; Oxidative Stress ; Brain/physiopathology* ; Hypothalamo-Hypophyseal System ; Neuronal Plasticity ; Pituitary-Adrenal System

During long-duration manned space missions, the complex and extreme space environment exerts significant impacts on astronauts' physiological, psychological, and cognitive functions, thereby posing direct risks to mission safety and operational efficiency. As a key bridge between the brain and external devices, brain-computer interface (BCI) technology enables precise acquisition and interpretation of neural signals, offering a novel paradigm for human-machine collaboration in manned spaceflight. Non-invasive BCI technology shows broad application prospects across astronaut selection, mission training, in-orbit task execution, and post-mission rehabilitation. During mission preparation, multimodal signal assessment and neurofeedback training based on BCI can effectively enhance cognitive performance and psychological resilience. During mission execution, BCI can provide real-time monitoring of physiological and psychological states and enable intention-based device control, thereby improving operational efficiency and safety. In the post-mission rehabilitation phase, non-invasive BCI combined with neuromodulation may improve emotional and cognitive functions, support motor and cognitive recovery, and contribute to long-term health management. However, the application of BCI in space still faces challenges, including insufficient signal robustness, limited system adaptability, and suboptimal data processing efficiency. Looking forward, integrating multimodal physiological sensors with deep learning algorithms to achieve accurate monitoring and individualized intervention, and combining BCI with virtual reality and robotics to develop intelligent human-machine collaboration models, will provide more efficient support for space missions.
Brain-Computer Interfaces ; Humans ; Space Flight ; Astronauts/psychology* ; Neurofeedback ; Cognition ; Electroencephalography ; Man-Machine Systems

Acute liver failure (ALF) is a life-threatening condition associated with macrophage-mediated inflammatory responses. Effective therapies and drugs are still lacking to date. Here, we reveal that a derivative of xanthohumol, CAM12203, alleviates lipopolysaccharide (LPS) + d-galactosamine (D-GalN)-induced ALF through limiting macrophage-mediated inflammation, with the most significant impact on interleukin-1β (IL-1β) transcription. Through biotin labeling-mediated pull-down and LC-MS/MS analysis, diacylglycerol kinase ζ (DGKζ), a lipid-metabolizing kinase, is identified as the direct target of CAM12203. Mechanistically, DGKζ is induced in macrophages upon inflammatory stimuli and is upregulated observed on clinical liver failure samples. Its product phosphatidic acid (PA) boosts phospholipase C (PLC)-inositol 1,4,5-trisphosphate (IP₃)-Ca²⁺ signaling and subsequent janus kinase 2 (JAK2)-signal transducer and activator of transcription 3 (STAT3) cascade, ultimately promoting IL-1β production and liver failure. DGKζ knockdown/ablation or inhibition significantly impairs the DGKζ-STAT3-IL-1β pathway along with ALF progression. Finally, CAM12203 is confirmed to be a new DGKζ inhibitor and acts against inflammation in a DGKζ-reliant manner. Taken together, CAM12203 inhibits IL-1β transcription in macrophages by binding to DGKζ and blocking the DGKζ-STAT3 axis, thereby exerting an ameliorative effect on ALF. These results not only highlight CAM12203 as a promising lead compound for ALF treatment, but also define DGKζ as a novel therapeutic target.

T-cell acute lymphoblastic leukemia (T-ALL) is a highly aggressive hematologic malignancy with a poor prognosis, despite advancements in treatment. Many patients struggle with relapse or refractory disease. Investigating the role of the super-enhancer (SE) regulated gene ubiquitin-specific protease 20 (USP20) in T-ALL could enhance targeted therapies and improve clinical outcomes. Analysis of histone H3 lysine 27 acetylation (H3K27ac) chromatin immunoprecipitation sequencing (ChIP-seq) data from six T-ALL cell lines and seven pediatric samples identified USP20 as an SE-regulated driver gene. Utilizing the Cancer Cell Line Encyclopedia (CCLE) and BloodSpot databases, it was found that USP20 is specifically highly expressed in T-ALL. Knocking down USP20 with short hairpin RNA (shRNA) increased apoptosis and inhibited proliferation in T-ALL cells. In vivo studies showed that USP20 knockdown reduced tumor growth and improved survival. The USP20 inhibitor GSK2643943A demonstrated similar anti-tumor effects. Mass spectrometry, RNA-Seq, and immunoprecipitation revealed that USP20 interacted with hypoxia-inducible factor 1 subunit alpha (HIF1A) and stabilized it by deubiquitination. Cleavage under targets and tagmentation (CUT&Tag) results indicated that USP20 co-localized with HIF1A, jointly modulating target genes in T-ALL. This study identifies USP20 as a therapeutic target in T-ALL and suggests GSK2643943A as a potential treatment strategy.

With the evolving understanding of the diagnosis and treatment of coronary artery disease （CAD）， current syndrome differentiation systems in traditional Chinese medicine （TCM） are increasingly insufficient in capturing the dynamic progression of the disease and often overlook clinical prognosis. This paper proposes the establishment of a TCM syndrome element differentiation system for CAD based on disease progression. Syndrome elements are categorized into core elements， fundamental elements， and evolutionary elements. The core element is blood stasis， which is regarded as the primary pathogenic factor in the onset of CAD. The fundamental elements， qi stagnation， cold congealment， phlegm turbidity， qi deficiency， yin deficiency， and yang deficiency， are commonly coexisting factors throughout the course of CAD. The evolutionary elements， collateral wind and latent toxin， are key pathogenic factors driving the transformation from chronic to acute stages of the disease. This new system aims to emphasize the evolution of disease over time， with a focus on improving long-term clinical outcomes.

Objective To evaluate the frailty status and risk factors among hospitalized elderly patients after percutaneous coronary intervention(PCI),and to provide a reference for improving and delaying their frailty.Methods From March to August 2024,using convenience sampling,patients aged over 75 years who underwent PCI in a tertiary cardiovascular disease specialist hospital in Beijing were selected as the survey participants.Patient-related informations were collected through a self-designed general information questionnaire.The Fried Phenotype Frailty Scale,the Katz Activities of Daily Living,Lawton Instrumental Activities of Daily Living(IADL)scale,the Charlson Comorbidity Index,the Morse Fall Scale,the Mini Nutritional Assessment-Short Form(MNA-SF),and the 15-item Geriatric Depression Scale(GDS-15)were evaluated postoperatively until discharge.Univariate and multivariate logistic analyses were conducted to identify factors associated with frailty among patients after PCI.Results A total of 278 patients were included.The incidence of frailty after PCI was 52.16％.Based on Fried Phenotype scores,patients were divided into a non-frail group and a frail group.Univariate analysis showed statistically significant differences between the 2 groups in terms of age,gender,hemoglobin,NT-ProBNP,LVEF,IADL scores,living alone status,nutrition status,falls risk,and depression level(P＜0.05).Multivariate logistic regression analysis revealed that age,Lawton IADL scores,falls risk,nutrition status,depression level were factors influencing frailty,with odds ratios of 1.167,0.575,1.597,0.399,and 3.610,respectively(P＜0.05).Conclusion The incidence of frailty is high among patients aged over 75 years after PCI,and there are multiple risk factors affecting their frailty status.Clinical healthcare providers should prioritize long-term management of these patients and implement comprehensive interventions with the consideration of their physiological,psychological,and social conditions.