[Objective] : To predict the autophagy-related pathogenesis and key diagnostic genes of diabetic kidney disease (DKD) through bioinformatics analysis, and to identify related Chinese medicines. [Methods] : Data from sequencing microarrays GSE30528, GSE30529, and GSE1009 in the Gene Expression Omnibus (GEO) were employed. Differentially expressed genes (DEGs) with adjusted P < 0.05 from GSE30528 and GSE30529 were identified. Combining these DEGs with the human autophagy gene database, Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses, and protein-protein interaction (PPI) network analysis were conducted on the obtained DKD autophagy-related genes. Subsequently, the least absolute shrinkage and selection operator (LASSO) regression and support vector machine-recursive feature elimination (SVM-RFE) algorithms were adopted to select autophagy-related genes. The diagnostic capability of these genes was assessed through analysis with the external validation set from microarray GSE1009, and relevant Chinese medicines were inversely predicted using the SymMap database. [Results] : A total of 2 014 DEGs were selected from GSE30528 and GSE30529, leading to the identification of 37 DKD autophagy-related genes. GO analysis indicated 681 biological mechanisms, including autophagy regulation and plasma membrane microdomain activity. KEGG enrichment analysis identified 112 related signaling pathways. PPI network analysis showed a marked enrichment of autophagy-related genes in DKD. Through LASSO regression and SVM-RFE, four core diagnostic genes for autophagy in DKD were identified: protein phosphatase 1 regulatory subunit 15A (PPP1R15A), hypoxia inducible factor 1 alpha subunit (HIF1α), deleted in liver cancer 1 (DLC1), and ceroid lipofuscinosis neuronal 3 (CLN3). The external validation set demonstrated high diagnostic efficiency for these genes. Finally, 146 kinds of potential Chinese medicines were predicted using the SymMap database, with heatclearing and detoxifying medicine and blood-activating and stasis-eliminating medicine accounting for the largest proportion (25/146 and 13/146, respectively). [Conclusion] This study analyzed and validated bioinformatics sequencing databases to elucidate the potential molecular mechanisms of DKD autophagy and predicted key diagnostic genes, potential therapeutic targets, and related Chinese medicines, laying a solid foundation for clinical research and application.

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

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

In order to improve the effect of transcranial electrical stimulation treatment and realize personalized treatment for patients with varying severity levels, this paper designed an integrated four-channel EEG recording multimodal transcranial electrical stimulation system. This system can conduct real-time monitoring on EEG and related characteristic analysis before stimulation, in stimulation, and after stimulation. This enables physicians and researchers to resolve real-time brain states, evaluate transcranial electrical stimulation effect, and then artificially adjust the stimulation parameters. After relevant testing and verification, the system can select four stimulation modes: TACS, TDCS, TPCS and TRNS, which can output the constant stimulation current of 0.03 mA accuracy in the range of ±2 mA and the stimulation frequency of low frequency of 0~4 kHz (precision of 0.01 Hz) and high frequency 50~100 kHz, which can obtain more accurate EEG signals under stimulation interference, demonstrating a good market application prospect.
Electroencephalography/methods* ; Transcranial Direct Current Stimulation/instrumentation* ; Humans ; Equipment Design

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

Occupational noise-induced hearing loss (NIHL) is an irreversible sensorineural hearing loss that severely endangers workers’ health, making early screening crucial. This article reviewed the research progress on early screening methods for occupational NIHL, introduced the testing mechanisms of three core screening methods—tympanometry, otoacoustic emissions, and extended high-frequency audiometry —and summarized their clinical application advantages and limitations. It is proposed that multimodal combined detection (e.g., the combination of tympanometry, otoacoustic emissions, and extended high-frequency audiometry) can significantly improve the accuracy and comprehensiveness of early screening. Meanwhile, future studies with prospective cohort design are encouraged to verify the long-term monitoring value of each method and to strengthen the joint development of screening technologies with cutting-edge approaches such as machine learning, in order to further improve screening efficiency and provide stronger protection for workers’ hearing health.

Liver transplantation is the optimal treatment for end-stage liver disease and hepatocellular carcinoma, which can significantly improve clinical prognosis and quality of life of patients. However, multiple challenges, such as rejection, immune tolerance, shortage of donor liver, preservation of donor liver, ischemia-reperfusion injury and postoperative complications, etc., limit the efficacy of liver transplantation in clinical practice. Research teams in China have made significant contributions to the basic research related to liver transplantation by making continuous efforts and combining the development of emerging technologies, interdisciplinary integration and other emerging fields. In this article, the frontier progress in the basic research of liver transplantation in 2023 was reviewed, highlighting the progress made by Chinese research teams in the basic research of liver transplantation, aiming to provide reference for promoting the integration of Chinese characteristics into the research of liver transplantation, accelerate the integration of Chinese liver transplantation research with international community, and promote further advancement of liver transplantation in China.

Objective: To construct paraquat (PQ) poisoning rat model and to explore the effect of pirfenidone (PFD) on PQ-induced pulmonary fibrosis. Methods: In April 2017, male 6-8 week-old Wistar rats were selected, and PQ was administered intraperitoneally at one time. PFD was administered by gavage 2 hours after poisoning. The daily gavage doses were 100, 200 and 300 mg/kg, and the rats were divided into physiological saline group, PQ group, PQ+PFD 100 group, PQ+PFD 200 group, PQ+PFD 300 group, with 10 rats in each group at each observation time point. The pathological changes of lung tissue at different time points (the 1st, 3rd, 7th, 14th, 28th, 42nd and 56th days) after poisoning and the effect of PFD intervention with different dose on PQ-induced pulmonary fibrosis were observed. Pathological evaluation of lung tissue was performed by Ashcroft scale method. The PQ+PFD 200 group was selected to further explore the pathological changes of lung tissue, the contents of hydroxyproline and malondialdehyde in lung tissue were determined.And the tumor necrosis factor (TNF) -α, interleukin (IL) -6, transforming growth factor (TGF) -β1, fibroblast growth factor (FGF) -B, platelet-derived growth factor (PDGF) -AB, insulin-like growth factor (IGF) -1 and PQ concentrations in serum and lung tissue were determined. Results: On the 1st to 7th day after PQ exposure, rats developed lung inflammation, which was aggravated on the 7th to 14th day, and pulmonary fibrosis appeared on the 14th to 56th day. Compared with PQ group, the Ashcroft scores of lung fibrosis in PQ+PFD 200 group and PQ+PDF 300 group decreased significantly in 7th and 28th day (P<0.05), while the Ashcroft score of lung fibrosis in PQ+PFD 100 group had no significant difference (P>0.05). After PQ exposure, the content of hydroxyproline in lung tissue increased gradually and reached the peak value on the 28th day. Compared with the PQ group, the contents of hydroxyproline in the PQ+PFD 200 group decreased at the 7th, 14th and 28th day, and the contents of malondialdehyde decreased at the 3rd and 7th day, the differences were statistically significant (P<0.05). The levels of TNF-α, IL-6 in rat serum and lung tissue reached the peak value on the 7th day after PQ exposure, and the levels of TGF-β1, FGF-B and IGF-1 in rat serum and lung tissue reached the peak value on the 14th day after PQ exposure, and the level of PDGF-AB in rat serum and lung tissue reached the peak value on the 28th day after PQ exposure. Compared with PQ group, the level of serum IL-6 in PQ+PFD 200 group decreased significantly on the 7th day, and serum TGF-β1, FGF-B, PDGF-AB and IGF-1 on the 14th and 28th day were decreased significantly (P<0.05). The levels of TNF-α, IL-6 in lung tissue of rats in PQ+PFD 200 group on the 7th day decreased significantly, and the levels of TGF-β1, FGF-B and IGF-1 in lung tissue of rats on the 14th day were significantly decreased, and the level of PDGF-AB in lung tissue of rats on the 28th day were significantly decreased (P<0.05) . Conclusion: PFD partially alleviates the PQ-induced lung inflammation and fibrosis by inhibiting oxidative stress, reducing the levels of pro-inflammatory and pro-fibrotic cytokines in serum and lung tissue, but does not affect the concentrations of PQ in serum and lung tissue.
Male ; Rats ; Animals ; Pulmonary Fibrosis/chemically induced* ; Insulin-Like Growth Factor I ; Paraquat ; Transforming Growth Factor beta1 ; Hydroxyproline ; Interleukin-6 ; Tumor Necrosis Factor-alpha ; Rats, Wistar ; Malondialdehyde

Objective     To study the correlation of preoperative hemoglobin amount with venous thromboembolism (VTE) after surgical treatment of bronchiectasis and the clinical significance. Methods     A retrospective study was performed on patients with bronchiectasis who underwent surgical treatment in our center from June 2017 to November 2021. The differences in blood parameters between the VTE patients and non-VTE patients were compared. The relationship between preoperative hemoglobin and VTE was confirmed by quartile grouping and receiver operating characteristic (ROC) curve. Results     A total of 122 patients were enrolled, including 50 males and 72 females, with a mean age of 52.52±12.29 years. The overall incidence of VTE after bronchiectasis was 9.02% (11/122). Preoperative hemoglobin amount (OR=0.923, 95%CI 0.870-0.980, P=0.008) and D-dimer amount (OR=1.734, 95%CI 1.087-2.766, P=0.021) were independent influencing factors for VTE after bronchiectasis. The incidence of VTE after bronchiectasis decreased gradually with the increase of preoperative hemoglobin amount. The area under the ROC curve (AUC) of postoperative D-dimer alone was 0.757, whereas the AUC of postoperative D-dimer combined with preoperative hemoglobin amount was 0.878. Conclusion     Low preoperative hemoglobin is an independent risk factor for postoperative VTE. Postoperative D-dimer combined with preoperative hemoglobin amount has a better predictive performance compared with postoperative D-dimer alone for postoperative VTE.

Objective: To explore the prevalence, clinical characteristics and risk factors of chronic obstructive pulmonary disease (COPD) in silicosis patients. Methods: In May 2021, a cross-sectional study was used to retrospectively include 329 silicosis patients first diagnosed in Beijing Chaoyang Hospital from January 1, 2007 to December 31, 2020. The demographic data, occupational history, chest imaging, pulmonary function and blood routine indicators of silicosis patients with COPD were analyzed, and the risk factors of silicosis with COPD were analyzed by multiple logistic regression. Results: There were 128 patients with silicosis complicated with COPD, and the overall prevalence rate was 38.9% (128/329) . Among them, 73.4% (94/128) were male and 33.6% (43/128) were heavy smokers; 33.6% (43/128) of patients were classified as gold 1, 37.5% (48/128) as gold 2, 25.0% (32/128) as gold 3, and 3.9% (5/128) as gold 4. Diagnostic age (OR=1.04, 95%CI=1.02~1.06, P<0.001) , cumulative smoking (OR=1.03, 95%CI=1.01~1.05, P=0.008) and silicosis stage III (OR=7.06, 95% CI=4.00-12.46, P<0.001) were risk factors for silicosis complicated with COPD. Conclusion: Diagnostic age, cumulative smoking volume and third stage of silicosis are the risk factors of silicosis patients with different degrees of COPD, which should be paid attention to in clinical treatment.
Cross-Sectional Studies ; Female ; Humans ; Male ; Prevalence ; Pulmonary Disease, Chronic Obstructive/epidemiology* ; Retrospective Studies ; Risk Factors ; Silicosis/epidemiology*