This paper proposes a two-stage method integrating visual foundation models （VFM） and diffusion models. The segment anything model （SAM） as VFM is combined with the SegRefiner diffusion model to construct the SAM-SegRefiner framework for automated segmentation of edema， inflammation， and thrombus regions in histopathological images of hemorrhoidal tissue， providing a reproducible technical tool for the objective quantification of pathological morphology and its application in traditional Chinese medicine （TCM） syndrome research. Trained and validated on multi-center retrospective data， the SAM-SegRefiner model achieved an average pixel accuracy of 95.32% and a mean intersection over union （mIoU） of 66.81% on an independent test set， significantly outperfor-ming comparative models such as U-Net， MixU-Net， and SAM-Med2D， and also demonstrating robust cross-center generalization capability. Furthermore， by correlating the quantitatively segmented results from the model with the patients' TCM syndrome types， the potential associations between pathomorphological features and TCM syndrome differentiation have been explored. The analysis revealed no statistically significant differences in the degree of inflammatory infiltration and thrombus formation among different syndrome types， suggesting a complex relationship between local pathological changes and systemic syndrome manifestations.

ObjectiveDonkey hide is the sole legally designated raw material for the preparation of the traditional Chinese medicine Ejiao. The quality stability of donkey hide during preservation directly determines the efficacy and safety of Ejiao. This study focuses on the dynamic succession of microbial communities during the preservation of donkey hides from different origins, aiming to clarify the correlation between microbial biodiversity difference and the degradation profiles of hide collagen and critical biochemical components, thereby providing a theoretical foundation for developing targeted preservation strategies based on microbial regulation. MethodsDonkey hides originating from four different regions were subjected to an accelerated microbial aging assay to simulate the spoilage process. The microbial community succession was analyzed using high-throughput sequencing. Microstructure changes and pore structure characteristics were assessed by scanning electron microscopy and mercury intrusion porosimetry, respectively. Additionally, the content of major components, including lipids, proteins, and sugars were determined by biochemical methods. ResultsAfter 96 h of aging, the collagen fiber structure in Africa donkey hides (ADH) exhibited significant degradation and collapse, followed by Xinjiang donkey hides (XDH). Instead, the microstructure of Dong’e black donkey hides (DDH) and Peru donkey hides (PDH) remained relatively intact. The porosities of DDH, XDH, PDH, and ADH increased from 27.9%, 15.7%, 30.3%, and 46.2% to 36.5%, 52.6%, 42.8%, and 57.7%, respectively, during the aging process, which suggested that the originally compact fiber structure was disrupted by microbial aging. Fourier transform infrared spectrometer analysis revealed the amide bands in XDH exhibited relatively weak intensity, and no collagen amide I band was observed in ADH. Meanwhile, the lipid and protein contents decreased in all four types of donkey hides, indicating that these components served as the primary nutrient sources for the growth of microorganism. Notably, the most severe collagen degradation was observed in XDH and ADH. A substantial increase was detected in the total soluble sugar in PDH aging solution and hydroxyproline in the ADH aging solution, respectively. These results indicated that donkey hides exhibit distinct patterns of structural degradation and nutrient utilization. Furthermore, the viable cells number of donkey hides increased sharply after 48 h of aging. Metagenomic analysis revealed that the relative abundance of Euryarchaeota in ADH, PDH and XDH declining from initial 93.19%, 97.73% and 30.08% to 0.79%, 1.43% and 0.02% after 96 h, respectively. Conversely, a significantly increase was observed in the abundance of Bacillota, with a marked increase in ADH, peaking at 92.75%. Additionally, the abundance of Pseudomonadota in PDH increased from 0.10% to 87.84%, suggesting that Bacillota and Pseudomonadota may be key factors exacerbating donkey hide spoilage. Unlike the other three types of donkey hides, the dominant bacterial phylum in DDH shifted from Pseudomonadota to Bacteroidota, characterized by a substantial abundance increase of Bacteroidota from 0.13% to 44.22%. ConclusionRegional variation in origin significantly influence the microbial aging of donkey hides, leading to distinct patterns of structural deterioration and differential nutrient utilization. Therefore, implementing origin-specific preservation strategies, through the precisely controlling environmental factors to suppress harmful phyla such as Bacillota and Pseudomonadota, is crucial for enhancing the storage quality of donkey hides.

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.

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.

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.

Membrane proteins are integral components of cellular membranes, accounting for approximately 30% of the mammalian proteome and serving as targets for 60% of FDA-approved drugs. They are critical to both physiological functions and disease mechanisms. Their functional protein-protein interactions form the basis for many physiological processes, such as signal transduction, material transport, and cell communication. Membrane protein interactions are characterized by membrane environment dependence, spatial asymmetry, weak interaction strength, high dynamics, and a variety of interaction sites. Therefore, in situ analysis is essential for revealing the structural basis and kinetics of these proteins. This paper introduces currently available in situ analytical techniques for studying membrane protein interactions and evaluates the characteristics of each. These techniques are divided into two categories: label-based techniques (e.g., co-immunoprecipitation, proximity ligation assay, bimolecular fluorescence complementation, resonance energy transfer, and proximity labeling) and label-free techniques (e.g., cryo-electron tomography, in situ cross-linking mass spectrometry, Raman spectroscopy, electron paramagnetic resonance, nuclear magnetic resonance, and structure prediction tools). Each technique is critically assessed in terms of its historical development, strengths, and limitations. Based on the authors’ relevant research, the paper further discusses the key issues and trends in the application of these techniques, providing valuable references for the field of membrane protein research. Label-based techniques rely on molecular tags or antibodies to detect proximity or interactions, offering high specificity and adaptability for dynamic studies. For instance, proximity ligation assay combines the specificity of antibodies with the sensitivity of PCR amplification, while proximity labeling enables spatial mapping of interactomes. Conversely, label-free techniques, such as cryo-electron tomography, provide near-native structural insights, and Raman spectroscopy directly probes molecular interactions without perturbing the membrane environment. Despite advancements, these methods face several universal challenges: (1) indirect detection, relying on proximity or tagged proxies rather than direct interaction measurement; (2) limited capacity for continuous dynamic monitoring in live cells; and (3) potential artificial influences introduced by labeling or sample preparation, which may alter native conformations. Emerging trends emphasize the multimodal integration of complementary techniques to overcome individual limitations. For example, combining in situ cross-linking mass spectrometry with proximity labeling enhances both spatial resolution and interaction coverage, enabling high-throughput subcellular interactome mapping. Similarly, coupling fluorescence resonance energy transfer with nuclear magnetic resonance and artificial intelligence (AI) simulations integrates dynamic structural data, atomic-level details, and predictive modeling for holistic insights. Advances in AI, exemplified by AlphaFold’s ability to predict interaction interfaces, further augment experimental data, accelerating structure-function analyses. Future developments in cryo-electron microscopy, super-resolution imaging, and machine learning are poised to refine spatiotemporal resolution and scalability. In conclusion, in situ analysis of membrane protein interactions remains indispensable for deciphering their roles in health and disease. While current technologies have significantly advanced our understanding, persistent gaps highlight the need for innovative, integrative approaches. By synergizing experimental and computational tools, researchers can achieve multiscale, real-time, and perturbation-free analyses, ultimately unraveling the dynamic complexity of membrane protein networks and driving therapeutic discovery.

Background and Objectives: SH3 and multiple ankyrin repeat domains 3 (Shank3) proteins play crucial roles as neuronal postsynaptic scaffolds. Alongside neuropsychiatric symptoms, individuals with SHANK3 mutations often exhibit symptoms related to dysfunctions in other organs, including the heart. However, detailed insights into the cardiac functions of Shank3 remain limited. This study aimed to characterize the cardiac phenotypes of Shank3-overexpressing transgenic mice and explore the underlying mechanisms. Methods: Cardiac histological analysis, electrocardiogram and echocardiogram recordings were conducted on Shank3-overexpressing transgenic mice. Electrophysiological properties, including action potentials and L-type Ca2+ channel (LTCC) currents, were measured in isolated cardiomyocytes. Ca2+ homeostasis was assessed by analyzing cytosolic Ca2+transients and sarcoplasmic reticulum Ca2+ contents. Depolarization-induced cell shortening was examined in cardiomyocytes. Immunoprecipitation followed by mass spectrometrybased identification was employed to identify proteins in the cardiac Shank3 interactome.Western blot and immunocytochemical analyses were conducted to identify changes in protein expression in Shank3-overexpressing transgenic cardiomyocytes. Results: The hearts of Shank3-overexpressing transgenic mice displayed reduced weight and increased fibrosis. In vivo, sudden cardiac death, arrhythmia, and contractility impairments were identified. Shank3-overexpressing transgenic cardiomyocytes showed prolonged action potential duration and increased LTCC current density. Cytosolic Ca2+ transients were increased with prolonged decay time, while sarcoplasmic reticulum Ca2+ contents remained normal. Cell shortening was augmented in Shank3-overexpressing transgenic cardiomyocytes. The cardiac Shank3 interactome comprised 78 proteins with various functions. Troponin I levels were down-regulated in Shank3-overexpressing transgenic cardiomyocytes. Conclusions This study revealed cardiac dysfunction in Shank3-overexpressing transgenic mice, potentially attributed to changes in Ca2+ homeostasis and contraction, with a notable reduction in troponin I.