ObjectiveTo investigate the therapeutic efficacy of Qizhi Tongluo granules on proteinuria in membranous nephropathy （MN） and its potential protective effects and underlying mechanism against endoplasmic reticulum stress. MethodsAfter 70 Sprague-Dawley （SD） rats were adaptively fed for one week， the MN rat model was established by injecting cationic bovine serum albumin （C-BSA） into the tail vein. Rats were divided into the normal group， model group， low-dose Qizhi Tongluo granules group （2.43 g·kg^-1）， medium-dose group （4.86 g·kg^-1）， high-dose group （9.72 g·kg^-1）， and benazepril group （0.01 g·kg^-1）， with 10 rats in each group. Treatment was administered for four weeks. The 24-hour urinary total protein （UTP） content， as well as the levels of reactive oxygen species （ROS）， malondialdehyde （MDA）， and glutathione peroxidase （GPX） in renal tissues， were measured. Renal pathological changes were assessed using immunoglobulin G （IgG） staining， periodic acid-silver methenamine （PASM） staining， and transmission electron microscopy （TEM）. The localization and expression levels of glucose-regulated protein 78 （GRP78）， phosphorylated inositol-requiring enzyme 1α （p-IRE1α）， phosphorylated protein kinase R-like endoplasmic reticulum kinase （p-PERK）， activating transcription factor 4 （ATF4）， nuclear factor erythroid 2-related factor 2 （Nrf2）， and 2'-5' oligoadenylate synthetase-like protein 1 （OASL1） in rat kidneys were detected by immunohistochemistry （IHC）. The mRNA and protein expression levels of Nrf2， thioredoxin 1 （Trx1）， thioredoxin-interacting protein （TXNIP）， and OASL1 in rat kidneys were measured using real-time quantitative polymerase chain reaction （Real-time PCR） and Western blot analysis. ResultsCompared with the normal group， UTP levels were significantly increased in the model rats （P<0.05）， with obvious renal pathological damage. GPX content levels were significantly decreased in renal tissue （P<0.05）， while ROS and MDA content levels were significantly increased （P<0.05）. The expression of GRP78， p-IRE1α， p-PERK， and ATF4 proteins was significantly increased in the kidneys （P<0.05）， while the mRNA and protein expression levels of Trx1 and Nrf2 were significantly decreased （P<0.05）. The mRNA and protein expression levels of TXNIP and OASL1 were significantly increased （P<0.05）. Compared with the model group， the UTP levels of rats in the Qizhi Tongluo granules groups and the benazepril group decreased to varying degrees （P<0.05）， and renal pathological damage was significantly alleviated. The GPX content in renal tissue was significantly increased （P<0.05）， while the ROS and MDA levels were significantly decreased （P<0.05）. The expression of GRP78， p-IRE1α， p-PERK， and ATF4 proteins in the kidney was significantly decreased （P<0.05）. The mRNA and protein expression levels of Trx1 and Nrf2 were significantly increased （P<0.05）， while the mRNA and protein expression levels of TXNIP and OASL1 were significantly decreased （P<0.05）. ConclusionQizhi Tongluo granules alleviates proteinuria in MN rats by modulating the Nrf2/OASL1 signaling pathway in renal tissues to reduce endoplasmic reticulum stress， which represents its underlying mechanism.

The philosophy of “treating disease before its onset” is a fundamental concept of traditional Chinese medicine (TCM), permeating its diagnostic and therapeutic framework, and is central to clinical practice. However, current TCM diagnostic and treatment models for the “pre-disease to disease” window period face several limitations, including the lack of comprehensive clinical parameters, difficulties in characterizing and integrating heterogeneous multimodal data, and insufficient dynamic precision in interventions and efficacy evaluations. To address these issues, guided by Professor Candong Li’s theory of TCM stateology, this study focuses on integrating objective multimodal data. It proposes a new model for personalized TCM diagnosis and treatment targeting the “pre-disease to disease” window period. This approach first proposes the idea of restructuring the conceptual framework of “symptom” and integrating multi-source heterogeneous data at macroscopic, mesoscopic, and microscopic levels to form a three-dimensional assessment indicator system. By integrating graph neural networks, convolutional neural networks, attention mechanisms, and knowledge graph-guided weight allocation, this approach enables collaborative representation, alignment, and fusion of multi-source data. Subsequently, it plans to construct a multimodal fusion model at both feature and decision levels, in order to establish mappings between indicators and TCM state elements, and to screen key indicators characterizing pathological evolution during the window period. Furthermore, it proposes a technical path for enhancing model interpretability using methods such as SHapley Additive exPlanations (SHAP) and Ablation-CAM++. Finally, with state assessment as the core, it proposes the concept of constructing a dynamic evaluation method for individualized diagnosis and treatment based on time-series data analysis using algorithms such as long short-term memory (LSTM) networks and gated recurrent units (GRUs). Moreover, a causal inference framework and semi-supervised learning strategies are introduced to enable quantitative evaluation of individual intervention effects and to provide interpretable therapeutic feedback, forming a complete technical path from data representation and fusion, weight adjustment, and interpretability analysis, to dynamic diagnosis feedback. This study aims to address deficiencies in the current TCM diagnosis and treatment model during the “pre-disease to disease” window period and to provide an operational framework for the clinical practice of TCM’s “treating disease before its onset”.

Objective To explore the characteristics and temporal trends of renal cancer burden among Chinese adolescents and young adults(AYA), and predict its future epidemic situation, so as to provide evidence for formulating public health policies and reducing the disease burden.Methods Epidemiological data of renal cancer in Chinese AYA(15-39 years)from 1990 to 2021 were obtained from the Global Burden of Disease(GBD)2021 database. The current status and trends of renal cancer in this population were analyzed. The incidence and mortality trends of renal cancer in AYA over the next 15 years was predicted with ARIMA model. The impacts of smoking and body mass index(BMI)on the disease burden were evaluated. Results In 2021, the incidence(1.12/100000), prevalence(8.61/100000), mortality(0.19/100000), and disability-adjusted life years(DALYs)(11.37/100000 person-years)of renal cancer in Chinese AYA were significantly higher than those in 1990 and above the global average. All burden indicators and their increases were higher in males than in females, and the burden accelerated after 30 years of age. The incidence rose steadily from 2003 to 2021(APC=3.95), while the mortality increased significantly from 2013 to 2021(APC=2.40). The burden attributed to high BMI continued to rise, and the smoking-attributable fraction in males first increased then decreased. ARIMA predicted that the incidence of renal cancer in Chinese AYA males would accelerate, while the mortality in both genders would stabilize. Conclusion The burden of renal cancer in Chinese AYA shows a significant upward trend. Males and people over 30 years old are key targets for prevention and control. Strengthening the management of risk factors(smoking, high BMI)and promoting early diagnosis and treatment are essential to reduce the disease burden.

Objective To screen the aging-related genes associated with prognosis in clear cell renal cell carcinoma (ccRCC), construct a prognostic model to optimize risk stratification, explore the underlying mechanisms, and provide reference for individualized diagnosis and treatment of this disease.Methods RNA sequencing data, clinical data, and aging-related genes of ccRCC were obtained from databases.After differentially expressed genes were screened, a prognostic model was constructed using Cox regression.The performance of the model was evaluated with Kaplan-Meier curves and receiver operating characteristic (ROC) curves, and validated with clinical features.Key genes were verified with immunohistochemistry.Results A total of 70 differentially expressed genes were identified, including IFI16, PECAM1, and ABCB1 as key genes, and a model formula was constructed.Internal and external validations showed that the survival rate of the high-risk group was significantly lower, with the area under the ROC curve (AUC)＞0.6.The risk score was correlated with clinical features.IFI16 was highly expressed in cancer tissues and associated with poor prognosis.Conclusion The prognostic model constructed in this study has good performance.Integrating clinical features, it can improve the accuracy of prognosis assessment of ccRCC.

Objective: This study aims to evaluate the clinical benefits of the integrated optical and magnetic surgical navigation system in assisting transforaminal endoscopic lumbar discectomy (TELD) for the treatment of lumbar disc herniation (LDH). Methods: A retrospective analysis was conducted on patients who underwent TELD for LDH at Beijing Chaoyang Hospital, Capital Medical University from November 2022 to December 2023. Patients treated with the integrated optical and magnetic surgical navigation system were defined as the navigation-guided TELD (Ng-TELD) group (30 cases), while those treated with the conventional x-ray fluoroscopy method were defined as the control group (31 cases). Record and compare baseline characteristics, surgical parameters, efficacy indicators, and adverse events between the 2 patient groups. Results: The average follow-up duration for the 61 patients was 11.8 months. Postoperatively, both groups exhibited significant relief from back and leg pain, which continued to improve over time. At the final follow-up, patients’ lumbar function and quality of life had significantly improved compared to preoperative levels (p < 0.05). The Ng-TELD group had significantly shorter total operation time (58.43 ± 12.37 minutes vs. 83.23 ± 25.90 minutes), catheter placement time (5.83 ± 1.09 minutes vs. 15.94 ± 3.00 minutes), decompression time (47.17 ± 11.98 minutes vs. 67.29 ± 24.23 minutes), and fewer intraoperative fluoroscopies (3.20 ± 1.45 vs. 16.58 ± 4.25) compared to the control group (p < 0.05). There were no significant differences between the groups in terms of efficacy evaluation indicators and hospital stay. At the final follow-up, the excellent and good rate of surgical outcomes assessed by the MacNab criteria was 98.4%, and the overall adverse event rate was 8.2%, with no statistically significant differences between the groups (p > 0.05). Conclusion This study demonstrates that the integrated optical and magnetic surgical navigation system can reduce the complexity of TELD, shorten operation time, and minimize radiation exposure for the surgeon, highlighting its promising clinical potential.

BACKGROUND: The available evidence regarding the benefits of percutaneous coronary intervention (PCI) on patients receiving dialysis with coronary artery disease (CAD) is limited and inconsistent. This study aimed to evaluate the association between PCI and clinical outcomes as compared with medical therapy alone in patients undergoing dialysis with CAD in China. METHODS: This multicenter, retrospective study was conducted in 30 tertiary medical centers across 12 provinces in China from January 2015 to June 2021 to include patients on dialysis with CAD. The primary outcome was major adverse cardiovascular events (MACE), defined as a composite of cardiovascular death, non-fatal myocardial infarction, and non-fatal stroke. Secondary outcomes included all-cause death, the individual components of MACE, and Bleeding Academic Research Consortium criteria types 2, 3, or 5 bleeding. Multivariable Cox proportional hazard models were used to assess the association between PCI and outcomes. Inverse probability of treatment weighting (IPTW) and propensity score matching (PSM) were performed to account for potential between-group differences. RESULTS: Of the 1146 patients on dialysis with significant CAD, 821 (71.6%) underwent PCI. After a median follow-up of 23.0 months, PCI was associated with a 43.0% significantly lower risk for MACE (33.9% [ n  = 278] vs . 43.7% [ n  = 142]; adjusted hazards ratio 0.57, 95% confidence interval 0.45-0.71), along with a slightly increased risk for bleeding outcomes that did not reach statistical significance (11.1% vs . 8.3%; adjusted hazards ratio 1.31, 95% confidence interval, 0.82-2.11). Furthermore, PCI was associated with a significant reduction in all-cause and cardiovascular mortalities. Subgroup analysis did not modify the association of PCI with patient outcomes. These primary findings were consistent across IPTW, PSM, and competing risk analyses. CONCLUSION This study indicated that PCI in patients on dialysis with CAD was significantly associated with lower MACE and mortality when comparing with those with medical therapy alone, albeit with a slightly increased risk for bleeding events that did not reach statistical significance.
Humans ; Percutaneous Coronary Intervention/methods* ; Male ; Female ; Coronary Artery Disease/drug therapy* ; Retrospective Studies ; Renal Dialysis/methods* ; Middle Aged ; Aged ; China ; Proportional Hazards Models ; Treatment Outcome

BACKGROUND: Preclinical studies have indicated that Angong Niuhuang Pills (ANP) reduce cerebral infarct and edema volumes. This study aimed to investigate whether ANP safely reduces cerebral infarct and edema volumes in patients with moderate to severe acute ischemic stroke. METHODS: This randomized, double-blind, placebo-controlled pilot trial included patients with acute ischemic stroke with National Institutes of Health Stroke Scale (NIHSS) scores ranging from 10 to 20 in 17 centers in China between April 2021 and July 2022. Patients were allocated within 36 h after onset via block randomization to receive ANP or placebo (3 g/day for 5 days). The primary outcomes were changes in cerebral infarct and edema volumes after 14 days of treatment. The primary safety outcome was severe adverse events (SAEs) for 90 days. RESULTS: There were 57 and 60 patients finally included in the ANP and placebo groups, respectively for modified intention-to-treat analysis. The median age was 66.0 years, and the median NIHSS score at baseline was 12.0. The changes in cerebral infarct volume at day 14 were 0.3 mL and 0.4 mL in the ANP and placebo groups, respectively (median difference: -7.1 mL; interquartile range [IQR]: -18.3 to 2.3 mL, P = 0.30). The changes in cerebral edema volume of the ANP and placebo groups on day 14 were 11.4 mL and 4.0 mL, respectively ( median difference: 3.0 mL, IQR: -1.3 to 9.9 mL, P = 0.15). The rates of SAE within 90 days were similar in the ANP (3/57, 5%) and placebo (7/60, 12%) groups ( P = 0.36). Changes in serum mercury and arsenic concentrations were comparable. In patients with large artery atherosclerosis, ANP reduced the cerebral infarct volume at 14 days (median difference: -12.3 mL; IQR: -27.7 to -0.3 mL, P = 0.03). CONCLUSIONS: ANP showed a similar safety profile to placebo and non-significant tendency to reduce cerebral infarct volume in patients with moderate-to-severe stroke. Further studies are warranted to assess the efficacy of ANP in reducing cerebral infarcts and improving clinical prognosis. TRAIL REGISTRATION Clinicaltrials.gov , No. NCT04475328.
Aged ; Female ; Humans ; Male ; Middle Aged ; Double-Blind Method ; Drugs, Chinese Herbal/adverse effects* ; Ischemic Stroke/drug therapy* ; Pilot Projects ; Stroke/drug therapy* ; Treatment Outcome

Artificial intelligence (AI), particularly deep learning, has demonstrated remarkable performance in medical imaging across a variety of modalities, including X-ray, computed tomography (CT), magnetic resonance imaging (MRI), ultrasound, positron emission tomography (PET), and pathological imaging. However, most existing state-of-the-art AI techniques are task-specific and focus on a limited range of imaging modalities. Compared to these task-specific models, emerging foundation models represent a significant milestone in AI development. These models can learn generalized representations of medical images and apply them to downstream tasks through zero-shot or few-shot fine-tuning. Foundation models have the potential to address the comprehensive and multifactorial challenges encountered in clinical practice. This article reviews the clinical applications of both task-specific and foundation models, highlighting their differences, complementarities, and clinical relevance. We also examine their future research directions and potential challenges. Unlike the replacement relationship seen between deep learning and traditional machine learning, task-specific and foundation models are complementary, despite inherent differences. While foundation models primarily focus on segmentation and classification, task-specific models are integrated into nearly all medical image analyses. However, with further advancements, foundation models could be applied to other clinical scenarios. In conclusion, all indications suggest that task-specific and foundation models, especially the latter, have the potential to drive breakthroughs in medical imaging, from image processing to clinical workflows.
Humans ; Artificial Intelligence ; Deep Learning ; Diagnostic Imaging/methods* ; Magnetic Resonance Imaging ; Tomography, X-Ray Computed ; Positron-Emission Tomography

BACKGROUND: Generalized pustular psoriasis (GPP), a rare and recurrent autoinflammatory disease, imposes a substantial burden on patients and society. Awareness of GPP in China remains limited. METHODS: This cross-sectional survey, conducted between September 2021 and May 2023 across 14 hospitals in China, included GPP patients of all ages and disease phases. Data collected encompassed demographics, clinical characteristics, economic impact, disease severity, quality of life, and treatment-related complications. Risk factors for GPP recurrence were analyzed. RESULTS: Among 127 patients (female/male ratio = 1.35:1), the mean age of disease onset was 25 years (1st quartile [Q1]-3rd quartile [Q3]: 11-44 years); 29.2% had experienced GPP for more than 10 years. Recurrence occurred in 75.6% of patients, and nearly half reported no identifiable triggers. Younger age at disease onset ( P  = 0.021) and transitioning to plaque psoriasis ( P  = 0.022) were associated with higher recurrence rates. The median diagnostic delay was 8 months (Q1-Q3: 2-41 months), and 32.3% of patients reported misdiagnoses. Comorbidities were present in 53.5% of patients, whereas 51.1% experienced systemic complications during treatment. Depression and anxiety affected 84.5% and 95.6% of patients, respectively. During GPP flares, the median Dermatology Life Quality Index score was 19.0 (Q1-Q3: 13.0-23.5). This score showed significant differences between patients with and without systemic symptoms; it demonstrated correlations with both depression and anxiety scores. Treatment costs caused financial hardship in 55.9% of patients, underscoring the burden associated with GPP. CONCLUSIONS The substantial disease and economic burdens among Chinese GPP patients warrant increased attention. Patients with early onset disease and those transitioning to plaque psoriasis require targeted interventions to mitigate the high recurrence risk.
Humans ; Male ; Female ; Psoriasis/pathology* ; Adult ; Cross-Sectional Studies ; Adolescent ; Child ; Young Adult ; Quality of Life ; Middle Aged ; China/epidemiology* ; Recurrence ; Risk Factors ; Surveys and Questionnaires ; East Asian People