This study aims to review the current status and development trends of digital TCM (Traditional Chinese Medicine) specimen museums, providing a theoretical basis for their future construction. By systematically organizing literature and materials, practical experiences in platform architecture design, content planning, and technical implementation were summarized. The research results show that digital technology has significant application value in the TCM field. Currently, some Food and Drug Control Institutes have formed diverse construction achievements by integrating regional characteristics with technological innovation. However, current TCM specimen museums generally still face many challenges, such as insufficient digitalization. In conclusion, the digitalization of TCM specimen museums has become an inevitable trend in the industry. Targeted measures are urgently needed to solve existing problems and promote the sustainable development of digital TCM specimen museums. It is suggested to strengthen the standardization of data collection and storage, deepen the integration of technologies such as 3D, AR, and AI into the construction of specimen museums, and at the same time promote the spatial design combining regional culture with TCM. This will help create "one museum with one feature for one region" digital TCM specimen museums, further promoting their sustainable development and facilitating the digital inheritance of TCM.

Metabolic dysfunction-associated steatotic liver disease (MASLD), previously known as nonalcoholic fatty liver disease, is the fastest-growing cause of chronic liver disease worldwide, affecting approximately 30% of the global population.Imaging is vital for detecting, quantifying, and monitoring hepatic steatosis—the defining abnormality of MASLD—and subsequent fibrosis—the key determinant of liver-related outcomes. This review summarizes the principles, clinical usage, efficacy, and advancements in various imaging modalities for the noninvasive assessment of hepatic steatosis and fibrosis, with an emphasis on ultrasound, CT, and MRI. Additionally, this review explores the evolving landscape of MASLD diagnostic approaches, including machine-learning techniques, opportunistic screening, standardized imaging guidelines, and therapies, emphasizing the pivotal role that radiologists can play in shaping these developments.

Objectives: . The prognostic value of the pretreatment albumin-to-alkaline phosphatase ratio (AAPR) in head and neck cancer (HNC) remains uncertain. This meta-analysis aimed to evaluate the predictive role of AAPR for survival outcomes in patients with HNC. Methods: . A comprehensive search of the Cochrane Library, PubMed, and Embase databases was conducted to identify relevant studies published up to July 30, 2024. We included studies on AAPR and survival outcomes in HNC patients. Results: . Eight studies comprising 1,737 HNC patients were analyzed using random-effects models. Lower AAPR values were significantly correlated with worse overall survival (hazard ratio [HR], 2.08), progression-free survival (HR, 2.00), and disease-free survival (HR, 2.18). Sensitivity analyses confirmed the robustness of these results, with no significant publication bias detected. Conclusion . Our findings suggest that pretreatment AAPR could serve as a valuable and cost-effective prognostic indicator in HNC, potentially aiding clinicians in risk stratification and treatment decision-making. However, additional validation studies are warranted to confirm its clinical applicability.

With the accelerating trend of population aging, the number of elderly patients with lung cancer continues to rise, and the disease burden is becoming increasingly heavy. The clinical management of these patients faces severe challenges due to their decreased physiological reserve, complex comorbidities, and significant individual heterogeneity. Consequently, under traditional diagnosis and treatment models, doctors often struggle to identify the individualized risks of elderly patients in a timely and comprehensive manner, which can easily lead to decision biases such as undertreatment or overtreatment. In view of this, this study advocates for the establishment of an umbrella decision-making model specifically tailored for elderly lung cancer patients. Grounded in a multidisciplinary team (MDT) platform, this model deeply integrates oncological indicators with the comprehensive geriatric assessment (CGA) system. By holistically considering multidimensional variables including tumor burden, organ function, frailty index, cognitive status, and social support, the model establishes an operational mechanism characterized by "single entry, precise stratification, and targeted selection". Accordingly, patients can be scientifically triaged into distinct intervention tiers, such as active surveillance, minimally invasive surgery, drug therapy, radiotherapy, and best supportive care, thereby achieving real-time alignment between treatment intensity and patient fitness. This article elaborates on the construction logic and key operational procedures of this novel decision-making framework, aiming to guide clinical practice beyond the limitations of a tumor-centric perspective toward a holistic, dynamic, whole-course management strategy. This transition seeks to ensure optimal quality of life and clinical net benefit for elderly patients alongside survival prolongation.

Breviscapine （Bre）， the effective flavonoid fraction extracted from Erigeron breviscapus ， contains more than 90% scutellarin. It exerts pharmacological effects including cardiovascular protection， neuroprotection， anti-tumor activity and immunomodulation. Nevertheless， Bre has several drawbacks such as low solubility， low permeability， poor stability and short half-life， which greatly restrict its clinical application. Novel drug delivery systems （NDDS） are carriers that integrate multi-dimensional technologies including solubilization， penetration enhancement， sustained/controlled release and targeted delivery to achieve efficient drug delivery. This paper systematically summarizes the research progress of Bre-NDDS， which mainly covers oral preparations （sustained/controlled-release drug delivery systems， immediate-release drug delivery systems）， injectable preparations （liposomes， solid lipid nanoparticles， lipid emulsions， polymeric nanoparticles， polymeric micelles）， mucosal delivery systems （nasal mucosal drug delivery systems， buccal mucosal drug delivery systems， pulmonary mucosal drug delivery systems） and transdermal delivery systems. The preparation routes as well as in vitro and in vivo performances of various Bre-NDDS are analyzed. The design principles for NDDS based on pharmacokinetics/pharmacodynamics are put forward， which can provide scientific evidence for the research， development and industrialization of high-efficiency and safe new Bre preparations.

Background: Visual impairment is increasingly prevalent, underscoring the need for effective prevention strategies. This study investigated the association between cardiovascular health and visual impairment using three progressively developed metrics: Life’s Simple 7 (LS7), a cardiovascular health score developed by the American Heart Association based on 7 components, including physical activity, smoking status, body mass index (BMI), diet, blood glucose, blood pressure, and total cholesterol; Life’s Essential 8(LE8), which adds sleep health as an additional component; and Life’s Crucial 9 (LC9), which further incorporates mental health. We aimed to evaluate whether these expanded metrics provide additional explanatory value and to inform future public health strategies. Objective: To investigate the associations among LS7, LE8, and LC9 cardiovascular health scores and visual impairment in National Health and Nutrition Examination Survey 2013 to 2018, assess the added value of sleep and mental health components, and identify key contributing subcomponents using regression and machine learning methods. Methods: We analyzed data from 9891 participants in the 2013 to 2018 National Health and Nutrition Examination Survey. Multivariable logistic regression, restricted cubic spline modeling, and subgroup analyses were conducted to evaluate the association between cardiovascular health and visual impairment. Machine learning methods, including Random Forest and SHapley Additive exPlanations, a model interpretation approach used to assess feature importance, were applied. The Boruta algorithm, a feature selection method, was used to identify key subcomponents of cardiovascular health. Results: Participants with visual impairment were older, had lower poverty-to-income ratios, and exhibited lower cardiovascular health scores (LS7, LE8, and LC9). Higher cardiovascular health scores were negatively associated with visual impairment. Each one standard deviation increase in LS7, LE8, and LC9 was associated with approximately 8%, 2%, and 3% lower odds of visual impairment, respectively. LS7 showed the strongest negative association, whereas LE8 and LC9 emerged as the most important predictors in the machine learning models. Key subcomponents such as blood glucose, blood pressure, and BMI, as well as mental health status, were strongly associated with visual impairment. Conclusion: Higher cardiovascular health scores were negatively associated with visual impairment. LS7 demonstrated the strongest statistical association, whereas LE8 and LC9 were the most influential features in the machine learning models. Blood glucose, blood pressure, BMI, and mental health status were important correlates of visual impairment. From the perspective of the “prevention and treatment of diseases” in traditional Chinese medicine and the holistic concept, the aforementioned research findings confirm that severe visual impairment is indeed an external manifestation of overall health imbalance (such as organ dysfunction and Qi deficiency and blood stasis). The prevention strategy lies in comprehensively adjusting lifestyle, emotional factors, and metabolic indicators (corresponding to the key factors in the study) to restore the body’s internal balance and achieve prevention before disease arises.

Objective: To assess parental expectations for the development of children with autism spectrum disorder (ASD) and identify factors associated with these expectations, so as to provide references for improving rehabilitation outcomes and long term development in children with ASD. Methods: From June 2024 to January 2026, a total of 877 children with ASD and their parents were recruited from 27 rehabilitation institutions in Hefei. The children had been diagnosed by chief physicians at tertiary level hospitals. Demographic characteristics and data on parental expectations were collected by the Parental Expectations Questionnaire. Differences in parental expectations between groups were assessed using the Mann-Whitney U- test and Kruskal-Wallis H-test, and associated factors were examined using quantile regression. Results: The mean item score for overall parental expectations among parents of children with ASD was (4.55±0.47), and scores for all dimensions were higher than those among parents of typically developing children ( t =11.11-31.14, all P <0.01). Child age, school enrollment, and maternal personality were associated with daily living expectation scores, learning and special talents and strengths expectation scores, and special talents and strengths expectation scores, respectively ( H =6.16-8.18, all P <0.05). Parents of preterm children had higher expectations for social interaction, physical and mental well being, and daily living than parents of non-preterm children ( Z =-2.56, -2.48, -2.39, all P <0.05). Multivariate quantile regression analysis showed that children’s age was associated with the expected level of self care ability; school enrollment status was associated with the expected level of learning and specialty strengths; maternal personality was associated with the expected levels of social competence, physical and mental health, self care ability, and specialty strengths; parental age was associated with the expected levels of physical and mental health and specialty strengths; and parental educational attainment was associated with the expected level of self care ability ( β =-0.36-0.41, all P <0.05). Conclusion Parents of children with ASD in Hefei generally have high expectations for their children s development across the domains of learning, daily living, social interaction, and physical and mental well being.

ObjectiveTo investigate the effect of Naoqingtong decoction （NQT） on the kidney damage and the inflammatory factors NOD-like receptor protein 3 （NLRP3）， apoptosis-associated speck-like protein containing a C-terminal caspase recruitment domain （ASC）， cysteinyl aspartate-specific proteinase-1 （Caspase-1）， interleukin-6 （IL-6）， and tumor necrosis factor-α （TNF-α） in spontaneously hypertensive rats （SHRs）. MethodsTwenty-four SHRs were randomized into a model group， a low-dose （12.9 g·kg^-1·d^-1） NQT （NQT-L） group， a high-dose （25.8 g·kg^-1·d^-1） NQT group （NQT-H）， and a captopril （CTP， 20 mg·kg^-1·d^-1） group， with 6 rats in each group. In addition， 6 homozygous male Wistar-Kyoto rats were used as the control group. The control and model groups were administrated with the same amount of normal saline by gavage for 8 weeks. General behaviors of rats were observed during the intervention period， and the blood pressure was measured periodically. At the end of intervention， the body mass was weighed， and both kidneys were collected and weighed for the calculation of the renal index. Hematoxylin-eosin staining was performed to observe the pathological changes in the kidney tissue. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） and Western blot were employed to determine the expression levels of NLRP3， ASC， Caspase-1， IL-6， and TNF-α in the kidney tissue. ResultsDuring the experiment period， the control group had normal mental status， food intake， and activity， while the model group showed thinning of hair， loss of luster， reduced activity， loss of appetite， fecal adhesion， and irritability， and some of the skin had scratches or blood scabs. The above symptoms were alleviated to different degrees after 8 weeks of NQT administration. An intelligent non-invasive sphygmomanometer was used to measure the tail artery pressure of rats， which showed that the systolic and diastolic blood pressure of rats in the model group was higher than that in the control group （P<0.01）. Compared with the model group， drug interventions lowered the systolic and diastolic blood pressure （P<0.05， P<0.01）. Compared with the control group， the model group showed severe pathological damage in the kidney tissue， which was alleviated in each drug intervention group. Compared with the control group， the model group showed up-regulated expression levels of NLRP3， ASC， Caspase-1， IL-6， and TNF-α in the kidney tissue （P<0.05， P<0.01）. Compared with the model group， the drug intervention groups showed down-regulated expression levels of NLRP3， ASC， Caspase-1， IL-6， and TNF-α in the kidney tissue （P<0.05， P<0.01）. ConclusionNQT can lower the blood pressure in SHRs by inhibiting the activation of NLRP3 inflammasomes， suppressing renal inflammation， and ameliorating hypertensive kidney damage.

Poloxamer， as a non-ionic surfactant， exhibits a unique triblock [polyethylene oxide-poly （propylene oxide）-polyethylene oxide] structure， which endows it with broad application potential in various fields， including solid dispersion technology， nanotechnology， gel technology， biologics， gene engineering and 3D printing. As a carrier， it enhances the solubility and bioavailability of poorly soluble drugs. In the field of nanotechnology， it serves as a stabilizer etc.， enriching preparation methods. In gel technology， its self-assembly behavior and thermosensitive properties facilitate controlled drug release. In biologics， it improves targeting efficiency and reduces side effects. In gene engineering， it enhances delivery efficiency and expression levels. In 3D printing， it provides novel strategies for precise drug release control and the production of high-quality biological products. As a versatile material， poloxamer holds promising prospects in the pharmaceutical field.