This paper introduces a real-world cohort research model for community-acquired pneumonia （CAP） based on the Jiangsu Traditional Chinese Medicine （TCM） Dominant Diseases Diagnosis and Treatment Data Platform. Firstly， data cleaning is performed by standardizing diagnosis， symptoms， treatment and imaging， intelligently extracting unstructured information， and cleaning and constructing a standardized database. Secondly， for cohort establishment， CAP patients across the province are screened in accordance with CAP diagnostic criteria to build a high-quality disease-specific cohort. Lastly， in terms of protocol design， the characteristics of TCM research and the CAP disease profile are considered to determine appropriate inclusion and exclusion criteria， estimate sample size， define interventions， outcomes and economic evaluations， providing a reference for real-world TCM research on CAP.

This paper introduces a real-world cohort research model for community-acquired pneumonia （CAP） based on the Jiangsu Traditional Chinese Medicine （TCM） Dominant Diseases Diagnosis and Treatment Data Platform. Firstly， data cleaning is performed by standardizing diagnosis， symptoms， treatment and imaging， intelligently extracting unstructured information， and cleaning and constructing a standardized database. Secondly， for cohort establishment， CAP patients across the province are screened in accordance with CAP diagnostic criteria to build a high-quality disease-specific cohort. Lastly， in terms of protocol design， the characteristics of TCM research and the CAP disease profile are considered to determine appropriate inclusion and exclusion criteria， estimate sample size， define interventions， outcomes and economic evaluations， providing a reference for real-world TCM research on CAP.

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.

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.

Osteoporosis is a common senile bone metabolism disease， clinically characterized by decreased bone mass， destruction of bone microstructure， increased bone fragility， and easy fracture. It tends to occur in the elderly and postmenopausal women， seriously threatening the quality of life and physical and mental health of the elderly. At present， the treatment of osteoporosis is mainly based on oral western medicines， such as calcium， Vitamin D， and bisphosphonates. Still， there are drawbacks such as a long medication cycle and many adverse reactions. In recent years， due to the advantages of multi-component， multi-pathway， and multi-target， some traditional Chinese medicines and effective ingredients can regulate the osteogenic and osteoclastic differentiation process in both directions and are widely used in the prevention and treatment of osteoporosis. Hippophae rhamnoides is a commonly used herbal medicine， and its fruits are rich in flavonoids， polyphenols， fatty acids， vitamins， and trace elements， which have been proven to have a good anti-osteoporosis effect. Isorhamnetin is the main effective ingredient of Hippophae rhamnoides fruits， which has many pharmacological effects such as anti-inflammation， anti-oxidative stress， anti-aging， and anti-tumor. Studies have shown that isorhamnetin can participate in the regulation of bone metabolism and has a good anti-osteoporosis effect. However， the pharmacological effects and related mechanisms of isorhamnetin against osteoporosis have not been systematically summarized. Therefore， this paper reviewed the pharmacological effects and related mechanisms of isorhamnetin against osteoporosis by referring to relevant literature to provide more basis for the development and application of isorhamnetin.

This article presents a case study of a patient who visited the Geriatric Department of Peking Union Medical College Hospital due to "palpitations, shortness of breath for more than 2 years, limb weakness for 6 months, edema, and nocturnal dyspnea for 2 months". The patient exhibited decreased muscle strength in the limbs and involvement of swallowing and respiratory muscles, alongside complications of heart failure and various arrhythmias which were predominantly atrial. Laboratory tests revealed the presence of multiple autoantibodies and notably anti-mitochondrial antibodies. Following a comprehensive multidisciplinary evaluation, the patient was diagnosed with anti-mitochondrial antibody-associated inflammatory myopathy. Treatment involved a combination of glucocorticoids and immunosuppressants, along with resistance exercises for muscle strength and rehabilitation training for lung function, resulting in significant improvement of clinical symptoms. The case underscores the importance of collaborative multidisciplinary approaches in diagnosing and treating rare diseases in elderly patients, where careful consideration of clinical manifestations and subtle abnormal clinical data can lead to effective interventions.

ObjectiveTo investigate the effects of Shenxiong Huanglian Jiedu decoction on the clearance of amyloid β-protein （Aβ） and neuronal damage in the mouse model of Alzheimer's disease （AD）. MethodsA total of 36 SPF-grade 2-month-old C57BL/6J mice were used in this study， and the modeling was performed by bilateral hippocampal injection of Aβ oligomers in C57BL/6J mice. The experiment was conducted with a blank group， a sham operation group， a model group， low- and high-dose （3.27，6.54 g·kg^-1， respectively） Shenxiong Huanglian Jiedu decoction groups， and a positive control （donepezil hydrochloride， 0.65 mg·kg^-1） group. At the end of the drug intervention， the learning and memory abilities and the activities of mice were evaluated by the Morris water maze and open field tests. Brain histopathology was examined by hematoxylin-eosin and Nissl staining. Additionally， in vivo imaging was employed to measure the metabolism of fluorescent Aβ in the cerebrospinal fluid， and staining of ionized calcium-binding adapter molecule-1 （Iba-1） was employed to assess microglial activation in the hippocampal tissue. Additionally， neurotrophin-3 （NT-3） and brain-derived neurotrophic factor （BDNF） levels in the brain tissue and serum were determined by the immunofluorescence assay and enzyme-linked immunosorbent assay. Western blot was conducted to determine the expression of inflammation and pathway-related proteins in the hippocampal tissue. ResultsCompared with the blank group and the sham operation group， the escape latency of the mice in the model group was prolonged， the platform residence time was shortened， the hippocampal tissue showed pathological manifestations such as neuronal pyknosis， Nissl body dissolution， and microglia activation. The metabolic rate of fluorescent Aβ through cerebrospinal fluid was slowed down， and the expression levels of BDNF， NT-3， and interleukin-10 （IL-10） in the hippocampus were significantly decreased （P<0.01）. The expression levels of tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6）， interleukin-1β （IL-1β）， Toll-like receptor 4 （TLR4）， myeloid differentiation factor 88 （MyD88） and phosphorylated nuclear transcription factor-κB （p-NF-κB p65） in hippocampus were significantly increased （P<0.05， P<0.01）. Compared with the model group， the escape latency of mice in the low and high dose groups of Chinese medicine and donepezil group was shortened， and the platform residence time was prolonged. Neuronal karyopyknosis， Nissl body dissolution and microglia activation in hippocampus were improved. Fluorescence Aβ was metabolized faster by cerebrospinal fluid. The expression of BDNF and NT-3 in hippocampus was increased （P<0.01）， and the expression of TLR4， MyD88 and p-NF-κB p65 was significantly decreased （P<0.05， P<0.01）. The expression of TNF-α in the hippocampus of the high-dose group was significantly decreased （P<0.05）， and the expression of IL-10 was significantly increased （P<0.05）. The expression of TNF-α， IL-6 and IL-1β in the hippocampus of the donepezil group was significantly decreased （P<0.05， P<0.01）. ConclusionShenxiong Huanglian Jiedu decoction may mitigate neuronal damage and enhance cerebrospinal fluid flow in the mouse model of AD， thereby promoting the clearance of Aβ and improving the learning and memory abilities. These beneficial effects are likely mediated through the inhibition of microglial activation， reduction of inflammation， and modulation of the TLR4/MyD88/NF-κB signaling pathway.

ObjectiveTo investigate the effects of Shenxiong Huanglian Jiedu decoction on the clearance of amyloid β-protein （Aβ） and neuronal damage in the mouse model of Alzheimer's disease （AD）. MethodsA total of 36 SPF-grade 2-month-old C57BL/6J mice were used in this study， and the modeling was performed by bilateral hippocampal injection of Aβ oligomers in C57BL/6J mice. The experiment was conducted with a blank group， a sham operation group， a model group， low- and high-dose （3.27，6.54 g·kg^-1， respectively） Shenxiong Huanglian Jiedu decoction groups， and a positive control （donepezil hydrochloride， 0.65 mg·kg^-1） group. At the end of the drug intervention， the learning and memory abilities and the activities of mice were evaluated by the Morris water maze and open field tests. Brain histopathology was examined by hematoxylin-eosin and Nissl staining. Additionally， in vivo imaging was employed to measure the metabolism of fluorescent Aβ in the cerebrospinal fluid， and staining of ionized calcium-binding adapter molecule-1 （Iba-1） was employed to assess microglial activation in the hippocampal tissue. Additionally， neurotrophin-3 （NT-3） and brain-derived neurotrophic factor （BDNF） levels in the brain tissue and serum were determined by the immunofluorescence assay and enzyme-linked immunosorbent assay. Western blot was conducted to determine the expression of inflammation and pathway-related proteins in the hippocampal tissue. ResultsCompared with the blank group and the sham operation group， the escape latency of the mice in the model group was prolonged， the platform residence time was shortened， the hippocampal tissue showed pathological manifestations such as neuronal pyknosis， Nissl body dissolution， and microglia activation. The metabolic rate of fluorescent Aβ through cerebrospinal fluid was slowed down， and the expression levels of BDNF， NT-3， and interleukin-10 （IL-10） in the hippocampus were significantly decreased （P<0.01）. The expression levels of tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6）， interleukin-1β （IL-1β）， Toll-like receptor 4 （TLR4）， myeloid differentiation factor 88 （MyD88） and phosphorylated nuclear transcription factor-κB （p-NF-κB p65） in hippocampus were significantly increased （P<0.05， P<0.01）. Compared with the model group， the escape latency of mice in the low and high dose groups of Chinese medicine and donepezil group was shortened， and the platform residence time was prolonged. Neuronal karyopyknosis， Nissl body dissolution and microglia activation in hippocampus were improved. Fluorescence Aβ was metabolized faster by cerebrospinal fluid. The expression of BDNF and NT-3 in hippocampus was increased （P<0.01）， and the expression of TLR4， MyD88 and p-NF-κB p65 was significantly decreased （P<0.05， P<0.01）. The expression of TNF-α in the hippocampus of the high-dose group was significantly decreased （P<0.05）， and the expression of IL-10 was significantly increased （P<0.05）. The expression of TNF-α， IL-6 and IL-1β in the hippocampus of the donepezil group was significantly decreased （P<0.05， P<0.01）. ConclusionShenxiong Huanglian Jiedu decoction may mitigate neuronal damage and enhance cerebrospinal fluid flow in the mouse model of AD， thereby promoting the clearance of Aβ and improving the learning and memory abilities. These beneficial effects are likely mediated through the inhibition of microglial activation， reduction of inflammation， and modulation of the TLR4/MyD88/NF-κB signaling pathway.

Over the past three decades， China has made significant progress in the prevention and control of viral hepatitis， and the incidence rates of new-onset pediatric hepatitis B virus infections and acute viral hepatitis in the population have reduced to a relatively low level； however， there is still a heavy disease burden of chronic viral hepatitis in China， which severely affects the health status of the population. This study systematically summarizes the achievements of viral hepatitis prevention and control in China， analyzes existing problems and challenges， and proposes comprehensive prevention and control strategies and measures to eliminate viral hepatitis as a public health threat based on the national conditions of China， in order to provide a reference for related departments in China on how to achieve the action targets for eliminating viral hepatitis as a public health threat by 2030.

Objective To explore the relationship between C-reactive protein/albumin ratio(CAR)and the disease severity in patients with severe pneumonia,and its predictive value for 28-day mortality risk.Methods A retrospective analysis was conducted on 152 patients with severe pneumonia admitted to Fuyang People's Hospital from January 2020 to January 2022.They were divided into non-critical illness group(n=51),critical illness group(n=63),and extremely critical illness group(n=38)based on the disease severity.The clinical data such as age and gender of patients was collected,and Pearson correlation analysis was used to explore the correlation between CAR and the severity of illness[determined by Acute Physiology and Chronic Health Evaluation Ⅱ(APACHE Ⅱ)score].Multivariate logistic regression was employed to identify independent influencing factors of the severity of illness.According to the survival status of patients after 28 days of treatment,they were divided into survival group(n=107)and death group(n=45).CAR was categorized into quintiles(Q1-Q5),and multivariate logistic regression analysis was conducted to explore the correlation between CAR and 28-day mortality risk in severe pneumonia patients.A restricted cubic spline(RCS)model was used to analyze the dose-response relationship between CAR and mortality risk.The predictive value of CAR and related indicators for patient mortality risk was evaluated using the receiver operating characteristic curve(ROC).Results CAR was significantly positively correlated with the severity of the disease(APACHE Ⅱ score)(r=0.716,P<0.05).Neutrophil/lymphocyte ratio(NLR),blood lactate(Lac),and high CAR were independent risk factors for the disease severity in patients with severe pneumonia(P<0.05).After adjusting for confounding factors,the mortality risk increased with the increase of CAR(P<0.05).Subgroup analysis of the screened confounding factors revealed that the correlation between CAR and 28-day mortality risk in severe pneumonia patients remained stable across different APACHE Ⅱ scores,GCS scores,SOFA scores,white blood cell counts(WBC),neutrophils(NEU),red cell volume distribution width(RDW),procalcitonin(PCT),and Lac,with interactions observed between NLR and Lac subgroups(P<0.05).The RCS model indicated that there was no non-linear dose-response relationship between CAR and 28-day mortality risk in patients with severe pneumonia of different genders.ROC curve analysis showed that CAR,Lac,and NLR had good predictive value for 28-day mortality in severe pneumonia patients,with the combined predictive efficacy being significantly higher than that of individual indicators.Conclusion There is a close relationship between CAR and the progression and prognosis of severe pneumonia,making it a new approach to assessing the severity of illness and predicting mortality risk in patients.