ObjectiveTo observe the effects of Danggui Shaoyaosan on macrophage polarization and renal inflammation in db/db mice with diabetic kidney disease （DKD）， and to explore its renal protective effects and underlying mechanisms. MethodsEight db/m mice were assigned to the normal group， and forty db/db mice were randomly divided into a model group， low-， medium-， and high-dose Danggui Shaoyaosan groups （8.39， 16.77， 33.54 g·kg^-1）， and an irbesartan group （0.025 g·kg^-1）. All mice were administered treatment by gavage for 12 consecutive weeks. General conditions of the mice were observed during the intervention. At the end of the 12-week intervention， 24-h urine samples were collected using metabolic cages， after which the mice were anesthetized for sample collection. Blood was collected by enucleation and centrifuged to obtain serum for the determination of glycated serum protein （GSP）， serum creatinine （SCr）， blood urea nitrogen （BUN）， total cholesterol （TC）， and triglycerides （TG）. The urinary albumin-to-creatinine ratio （UACR） was measured. Renal pathological changes were observed using hematoxylin-eosin （HE） staining， periodic acid-Schiff （PAS） staining， and Masson staining. Enzyme-linked immunosorbent assay （ELISA） was used to detect serum tumor necrosis factor-α （TNF-α）， interleukin-10 （IL-10）， and monocyte chemoattractant protein-1 （MCP-1） levels. Immunofluorescence （IF） was performed to detect F4/80 expression in renal tissue， and immunohistochemistry （IHC） was used to assess CD206 expression. Real-time quantitative polymerase chain reaction （Real-time PCR） was employed to measure the mRNA expression of TNF-α， IL-10， inducible nitric oxide synthase （iNOS）， and arginase-1 （Arg-1）. Western blot analysis was used to detect the protein expression of iNOS， Arg-1， CD86， and CD206 in renal tissue. ResultsCompared with the normal group， the model group showed increased levels of GSP， UACR， SCr， BUN， TC， and TG， elevated levels of the inflammatory factor TNF-α and the chemokine MCP-1， and decreased IL-10 levels （P<0.01）. Pathological examination revealed glomerular hypertrophy， mesangial cell proliferation with marked mesangial expansion， inflammatory cell infiltration， vacuolar degeneration of renal tubular epithelial cells， prominent glycogen deposition， and increased collagen fiber deposition. In addition， relative F4/80 fluorescence intensity was enhanced， CD206 expression in the glomeruli and renal interstitium was reduced， and TNF-α and iNOS mRNA expression was increased. IL-10 and Arg-1 mRNA expression was decreased， iNOS and CD86 protein expression was increased， and Arg-1 and CD206 protein expression was decreased （P<0.05， P<0.01）. Compared with the model group， the Danggui Shaoyaosan groups and the irbesartan group showed decreased levels of GSP， UACR， SCr， BUN， TC， and TG， reduced serum TNF-α and MCP-1 levels， and increased IL-10 levels. Renal pathological damage was improved to varying degrees. Relative F4/80 fluorescence intensity was reduced， CD206 expression in the glomeruli and renal interstitium was increased， and TNF-α and iNOS mRNA expression was decreased. IL-10 and Arg-1 mRNA expression was increased， iNOS and CD86 protein expression was reduced， and Arg-1 and CD206 protein expression was increased （P<0.05， P<0.01）. ConclusionDanggui Shaoyaosan can improve renal function and alleviate renal pathological damage in db/db mice. Its mechanism may be related to inhibiting M1 pro-inflammatory macrophage polarization， promoting M2 anti-inflammatory macrophage polarization， reducing inflammatory responses， delaying the progression of renal fibrosis， improving renal pathological injury， and thereby exerting renal protective effects.

To analyze the clinical and genetic features of oculopharyngodistal myopathy (OPDM) patients and compare the phenotypic differences among various causative genes.

Based on the theoretical framework of "grease-turbidity-heat toxin"， this paper elucidates the patholo-gical evolution pattern underlying the alternation between active and remission phases of inflammatory bowel disease （IBD）. It is proposed that the active phase of IBD represents a progressive and explosive process characterized by internal accumulation of grease turbidity， constraint transforming into heat， and exuberant heat generating toxin. During the remission phase， the pathogenic process manifests as subsidence of heat toxin， depletion of qi and yin， latent retention of residual turbidity， and a state of coexistence between deficiency of healthy qi and lingering pathogenic factors. Accordingly， a staged therapeutic strategy with dynamic intervention and targeted modulation has been established. During the active phase， treatment follows the sequential principle of unblocking， clearing， and resolving pathogenic factors. In the early stage， the therapeutic approach focuses on regulating qi movement， fortifying the spleen， and resolving turbidity， using Tongxie Essential Formula （痛泻要方） and Shenling Baizhu Powder （参苓白术散） to regulate qi and fortify spleen. In the middle stage， the strategy emphasizes clearing heat， eliminating dampness， and dispersing pathogenic accumulation through downward and outward pathways， and Gegen Qinlian Decoction （葛根芩连汤） combined with Banxia Xiexin Decoction （半夏泻心汤） is used to clear and resolve damp-heat. In the late stage， treatment aims to resolve toxin， restrain sore， cool blood， and stabilize collaterals， using Baitouweng Decoction （白头翁汤）， Shaoyao Decoction （芍药汤）， and Xijiao Dihuang Decoction （犀角地黄汤） to eliminate toxins and cool blood. During the remission phase， the principle of reinforcing， consolidating， and penetrating is adopted to restore internal balance and clear the source， using Sishen Pills （四神丸） and Sijunzi Decoction （四君子汤） to reinforce healthy qi and venting pathogens.

Based on the theory of Zi Wu Liu Zhu （子午流注， the ebb and flow of midnight and midday） and the clinical characteristics of diarrhea-predominant irritable bowel syndrome （IBS-D） that its symptoms mainly occur during chou （丑） period （01：00—03：00）， mao （卯） period （5：00—7：00）， and si （巳） period （9：00—11：00）， this paper proposes a temporal pathogenesis chain of "liver constraint during chou period， intestinal stagnation during mao period， and spleen deficiency during si period". Within this chain， liver constraint serves as the initiating factor， and intestinal stagnation manifests as the branch， while spleen deficiency constitutes the root of the disease. Accordingly， a chronotherapeutic principle of "soothing the liver， regulating the intestines， and fortifying the spleen" is proposed， establishing a corresponding time-based syndrome differentiation and treatment system. During chou period， the treatment should focus on soothing the liver to relieve constraint and calming the mind to tranquilize the spirit， thereby blocking the mechanism of liver constraint overacting on the spleen. During mao period， the focus is regulating qi to resolve dampness and harmonizing the intestine to alleviate the branch symptoms of morning abdominal pain and diarrhea. During si period， the suggested method is fortifying the spleen and supplementing qi to drain dampness and stop diarrhea， thereby restoring the pivot of spleen-stomach transportation and transformation. These methods are complemented by strategies to optimize medication compliance， thereby providing a new chronotherapeutic approach for clinical diagnosis and treatment of IBS-D.

Based on the theoretical framework of "grease-turbidity-heat toxin"， this paper elucidates the patholo-gical evolution pattern underlying the alternation between active and remission phases of inflammatory bowel disease （IBD）. It is proposed that the active phase of IBD represents a progressive and explosive process characterized by internal accumulation of grease turbidity， constraint transforming into heat， and exuberant heat generating toxin. During the remission phase， the pathogenic process manifests as subsidence of heat toxin， depletion of qi and yin， latent retention of residual turbidity， and a state of coexistence between deficiency of healthy qi and lingering pathogenic factors. Accordingly， a staged therapeutic strategy with dynamic intervention and targeted modulation has been established. During the active phase， treatment follows the sequential principle of unblocking， clearing， and resolving pathogenic factors. In the early stage， the therapeutic approach focuses on regulating qi movement， fortifying the spleen， and resolving turbidity， using Tongxie Essential Formula （痛泻要方） and Shenling Baizhu Powder （参苓白术散） to regulate qi and fortify spleen. In the middle stage， the strategy emphasizes clearing heat， eliminating dampness， and dispersing pathogenic accumulation through downward and outward pathways， and Gegen Qinlian Decoction （葛根芩连汤） combined with Banxia Xiexin Decoction （半夏泻心汤） is used to clear and resolve damp-heat. In the late stage， treatment aims to resolve toxin， restrain sore， cool blood， and stabilize collaterals， using Baitouweng Decoction （白头翁汤）， Shaoyao Decoction （芍药汤）， and Xijiao Dihuang Decoction （犀角地黄汤） to eliminate toxins and cool blood. During the remission phase， the principle of reinforcing， consolidating， and penetrating is adopted to restore internal balance and clear the source， using Sishen Pills （四神丸） and Sijunzi Decoction （四君子汤） to reinforce healthy qi and venting pathogens.

In China, the number of chronic pain patients has exceeded 300 million, making chronic pain the third major health problem after tumors and cardiovascular diseases. Particularly concerning is the gradual emergence of hypertension and chronic low back pain as public health problems that threaten public health and increase the global economic burden. Modern research shows that the incidence of coexisting hypertension is higher among patients with chronic low back pain. Additionally, evidence indicates that the use of NSAIDs for pain relief can have adverse effects on blood pressure, and some antihypertensive medications may trigger symptoms of low back pain. Thus, addressing chronic pain in hypertensive patients while stabilizing blood pressure is one of the important research questions in the modern treatment of hypertension among middle-aged and elderly individuals. From ancient to modern traditional Chinese medicine(TCM) theory, kidney deficiency has been regarded as the core pathogenesis of low back pain. Recent clinical practices and literature indicate that kidney deficiency plays a crucial role in the modern pathogenesis of hypertension. Both hypertension and chronic low back pain are closely associated with kidney deficiency in TCM theory, revealing a potential mechanism linking the two conditions. Combining the theories of " kidney-essence-marrow" and " nourishing water to moisten wood", a therapeutic strategy centered on tobifying kidney was proposed, including selecting single drugs with kidney-tonifying effects as well as compound formulations and elaborating modern research evidence. The aim is to achieve stable blood pressure control in hypertension patients with chronic low back pain while providing a new treatment perspective for chronic low back pain. This article systematically elaborates on the understanding of hypertension combined with chronic low back pain from both TCM and modern medicine, as well as the therapeutic strategy involving kidney-tonifying drugs, to offer useful references for clinical practice.
Humans ; Hypertension/complications* ; Low Back Pain/complications* ; Drugs, Chinese Herbal/therapeutic use* ; Kidney/drug effects* ; Medicine, Chinese Traditional ; Chronic Pain/drug therapy*

This study employed bioinformatics to screen the feature genes related to efferocytosis in diabetic kidney disease(DKD) and explores traditional Chinese medicine(TCM) regulating these feature genes. The GSE96804 and GSE30528 datasets were integrated as the training set, and the intersection of differentially expressed genes and efferocytosis-related genes(ERGs) was identified as DKD-ERGs. Subsequently, correlation analysis, protein-protein interaction(PPI) network construction, enrichment analysis, and immune infiltration analysis were performed. Consensus clustering was conducted on DKD patients based on the expression levels of DKD-ERGs, and the expression levels, immune infiltration characteristics, and gene set variations between different subtypes were explored. Eight machine learning models were constructed and their prediction performance was evaluated. The best-performing model was evaluated by nomograms, calibration curves, and external datasets, followed by the identification of efferocytosis-related feature genes associated with DKD. Finally, potential TCMs that can regulate these feature genes were predicted. The results showed that the training set contained 640 differentially expressed genes, and after intersecting with ERGs, 12 DKD-ERGs were obtained, which demonstrated mutual regulation and immune modulation effects. Consensus clustering divided DKD into two subtypes, C1 and C2. The support vector machine(SVM) model had the best performance, predicting that growth arrest-specific protein 6(GAS6), S100 calcium-binding protein A9(S100A9), C-X3-C motif chemokine ligand 1(CX3CL1), 5'-nucleotidase(NT5E), and interleukin 33(IL33) were the feature genes of DKD. Potential TCMs with therapeutic effects included Astragali Radix, Trionycis Carapax, Sargassum, Rhei Radix et Rhizoma, Curcumae Radix, and Alismatis Rhizoma, which mainly function to clear heat, replenish deficiency, activate blood, resolve stasis, and promote urination and drain dampness. Molecular docking revealed that the key components of these TCMs, including β-sitosterol, quercetin, and sitosterol, exhibited good binding activity with the five target genes. These results indicated that efferocytosis played a crucial role in the development and progression of DKD. The feature genes closely related to both DKD and efferocytosis, such as GAS6, S100A9, CX3CL1, NT5E, and IL33, were identified. TCMs such as Astragali Radix, Trionycis Carapa, Sargassum, Rhei Radix et Rhizoma, Curcumae Radix, and Alismatis Rhizoma may provide a new therapeutic strategy for DKD by regulating efferocytosis.
Humans ; Computational Biology ; Diabetic Nephropathies/physiopathology* ; Protein Interaction Maps ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal ; Phagocytosis/genetics* ; Efferocytosis

Fritillariae Cirrhosae Bulbus is the dried bulb of perennial herbaceous plants in the Fritillaria genus(Liliaceae family) and is a representative traditional Chinese medicinal material with distinctive regional characteristics. Clinically, it is widely used in the treatment of dry cough, bronchial asthma, and other respiratory diseases, possessing significant medicinal and economic value and being highly esteemed in TCM. Currently, Fritillariae Cirrhosae Bulbus primarily relies on wild harvesting. However, due to excessive collection, its wild resources have drastically declined, and all source species have been classified as category Ⅱ in the List of National Key Protected Wild Plants, exacerbating the supply-demand imbalance in the market. To mitigate this issue, large-scale cultivation through the domestication of wild Fritillariae Cirrhosae Bulbus has become an inevitable trend. However, its strict environmental requirements, low propagation efficiency, high seedling mortality, and immature cultivation techniques have severely hindered industrialization. This study investigates the domestication process of Fritillariae Cirrhosae Bulbus, focusing on seed propagation, seedling cultivation, and medicinal material production. It also reviews the species and distribution of wild resources, their endangered status, market supply-demand dynamics, and the historical and current development of domestication. The findings indicate that enhancing propagation efficiency, optimizing cultivation models, and distinguishing between seed propagation and medicinal material production are key measures to accelerate the industrialization of domesticated Fritillariae Cirrhosae Bulbus. This research aims to promote the industrialization of Fritillariae Cirrhosae Bulbus domestication and provide a reference model for the conservation and sustainable utilization of rare and endangered medicinal plant resources.
Fritillaria/chemistry* ; Endangered Species ; Plants, Medicinal/growth & development* ; Drugs, Chinese Herbal/economics* ; China

Meditation aims to guide individuals into a state of deep calm and focused attention, and in recent years, it has shown promising potential in the field of medical treatment. Numerous studies have demonstrated that electroencephalogram (EEG) patterns change during meditation, suggesting the feasibility of using deep learning techniques to monitor meditation states. However, significant inter-subject differences in EEG signals poses challenges to the performance of such monitoring systems. To address this issue, this study proposed a novel model-calibrated multi-source adversarial adaptation network (CMAAN). The model first trained multiple domain-adversarial neural networks in a pairwise manner between various source-domain individuals and the target-domain individual. These networks were then integrated through a calibration process using a small amount of labeled data from the target domain to enhance performance. We evaluated the proposed model on an EEG dataset collected from 18 subjects undergoing methamphetamine rehabilitation. The model achieved a classification accuracy of 73.09%. Additionally, based on the learned model, we analyzed the key EEG frequency bands and brain regions involved in the meditation process. The proposed multi-source domain adaptation framework improves both the performance and robustness of EEG-based meditation monitoring and holds great promise for applications in biomedical informatics and clinical practice.
Humans ; Electroencephalography/methods* ; Meditation ; Calibration ; Neural Networks, Computer ; Brain/physiology* ; Rest/physiology* ; Deep Learning ; Signal Processing, Computer-Assisted

Current studies on electroencephalogram (EEG) emotion recognition primarily concentrate on discrete stimulus paradigms under controlled laboratory settings, which cannot adequately represent the dynamic transition characteristics of emotional states during multi-context interactions. To address this issue, this paper proposes a novel method for emotion transition recognition that leverages a cross-modal feature fusion and global perception network (CFGPN). Firstly, an experimental paradigm encompassing six types of emotion transition scenarios was designed, and EEG and eye movement data were simultaneously collected from 20 participants, each annotated with dynamic continuous emotion labels. Subsequently, deep canonical correlation analysis integrated with a cross-modal attention mechanism was employed to fuse features from EEG and eye movement signals, resulting in multimodal feature vectors enriched with highly discriminative emotional information. These vectors are then input into a parallel hybrid architecture that combines convolutional neural networks (CNNs) and Transformers. The CNN is employed to capture local time-series features, whereas the Transformer leverages its robust global perception capabilities to effectively model long-range temporal dependencies, enabling accurate dynamic emotion transition recognition. The results demonstrate that the proposed method achieves the lowest mean square error in both valence and arousal recognition tasks on the dynamic emotion transition dataset and a classic multimodal emotion dataset. It exhibits superior recognition accuracy and stability when compared with five existing unimodal and six multimodal deep learning models. The approach enhances both adaptability and robustness in recognizing emotional state transitions in real-world scenarios, showing promising potential for applications in the field of biomedical engineering.
Humans ; Emotions/physiology* ; Electroencephalography ; Neural Networks, Computer ; Eye Movements ; Perception