Objective To investigate the distribution characteristics of pathogens causing infections within 90 days after liver transplantation and the influencing factors of infection. Methods Clinical data of 176 recipients who underwent liver transplantation at the Liver Transplant Center of Beijing Friendship Hospital Affiliated to Capital Medical University from September 2021 to August 2024 were retrospectively analyzed. Patients were divided into the infection group (n=124) and the non-infection group (n=52) based on whether they developed infection within 90 days after transplantation. The distribution characteristics of pathogens in infected patients were analyzed. Univariate and multivariate logistic regression analyses were used to explore the influencing factors of infection. Results Among the 176 liver transplant recipients, 124 cases developed 243 episodes of 518 bacterial, fungal, viral or mycoplasma infections within 90 days after transplantation, with an overall infection rate of 70.5% (124/176). The composition of pathogens was mainly Gram-negative bacteria (38.6%, 200/518), followed by Gram-positive bacteria (32.2%, 167/518) and viruses (15.4%, 80/518), and fungi accounted for 13.1% (68/518). Among Gram-negative bacteria, the main pathogen was Klebsiella pneumoniae (6.8%, 35/518), and among Gram-positive bacteria, the main pathogen was Enterococcus faecalis (8.5%, 44/518). Viruses included Epstein-Barr virus (3.7%, 19/518) and cytomegalovirus (3.7%, 19/518), and fungi were mainly Candida albicans (6.8%, 35/518). The most common infection site among the 243 episodes was pulmonary infection (42.0%, 102/243), followed by abdominal infection (22.6%, 55/243) and bloodstream infection (18.1%, 44/243). The infections mainly occurred within 2 weeks after transplantation (60.9%, 148/243). Multivariate logistic regression analysis indicated that preoperative infection within 2 weeks, a high preoperative model for end-stage liver disease (MELD) score, and preoperative sarcopenia were independent risk factors for infection within 90 days after liver transplantation (all odds ratio>1, P<0.05). After multivariate correction, the levels of CD4⁺T cells and CD8⁺T cells within 90 days after surgery were independently associated with the occurrence of infection. Low levels of CD4⁺T cells and CD8⁺T cells might be related to an increased risk of infection. Conclusions The infection rate after liver transplantation is high, and the pathogens are mainly Gram-negative bacteria. The lungs are the most common infection site. Preoperative MELD score, preoperative sarcopenia and preoperative infection within 2 weeks are independent risk factors for infection within 90 days after liver transplantation. Regular monitoring of immune indicators CD4⁺T cells and CD8⁺T cells levels after transplantation is helpful to reduce the occurrence of post-transplantation infection.

Objectives: . This study aimed to explore the role of the Pcdh15 gene in hearing maintenance and to examine the effects of its deficiency on cochlear structure, cochlear function, and hearing loss in mice. Methods: . CRISPR/Cas9 technology was used to generate Pcdh15 knockout (KO) mice. Auditory function was evaluated using hearing tests, while histological approaches were employed to assess morphological changes in cochlear hair cells and spiral ganglion neurons (SGNs). RNA sequencing (RNA-seq) was performed on cochlear tissue from postnatal day 18 (P18) wild-type (WT) and Pcdh15 KO mice to identify differentially expressed genes (DEGs). These DEGs were subjected to functional annotation and pathway analysis, with particular emphasis on oxidative phosphorylation (OXPHOS). Reactive oxygen species (ROS) levels were quantified using flow cytometry and DCFH-DA assays. Results: . Pcdh15 KO mice exhibited progressive sensorineural hearing loss, which worsened to profound deafness by P18. Notably, cochlear hair cells and SGNs showed substantial loss and pronounced morphological abnormalities, particularly within the basal high-frequency region. RNA-seq analysis identified 1,359 DEGs, including 1,024 downregulated and 335 upregulated genes. Pathway analysis indicated that Pcdh15 deficiency was associated with inhibition of the OXPHOS pathway, potentially disrupting mitochondrial respiratory chain complexes I, III, IV, and V and thereby impairing energy production and ATP metabolism. In addition, early-stage cochleae from KO mice demonstrated elevated ROS levels and increased oxidative stress, suggesting that redox imbalance may contribute to hearing damage. Conclusion . Pcdh15 plays a critical role in hearing maintenance. Its deficiency is associated with severe hearing loss and marked cochlear abnormalities, which are linked to inhibition of OXPHOS, disruption of energy metabolism, and exacerbation of oxidative stress. Together, these findings provide new insights into the mechanisms underlying hearing loss and suggest potential targets for therapeutic intervention.

Intelligent prescription recommendation has become an important research direction in traditional Chinese medicine (TCM), offering new opportunities to support clinical decision-making and promote the modernization of TCM practice. With the rapid development of artificial intelligence (AI), a variety of computational approaches have been proposed to learn prescription patterns from clinical data and generate personalized treatment recommendations. However, despite increasing research activity, systematic and comprehensive reviews of AI-driven methods for TCM prescription recommendation remain limited. In this study, we present a comprehensive review of computational approaches for herbal prescription recommendation (HPR) in TCM. Existing methods are systematically categorized into several major paradigms, including traditional machine learning methods, topic model methods, sequential generative methods, deep learning and graph-based methods, and large language model–based frameworks. In addition to summarizing methodological developments, we also review commonly used public datasets and evaluation metrics in this field. Furthermore, representative models with publicly available implementations are experimentally evaluated on multiple benchmark datasets to provide a comparative analysis of their performance on the HPR task. Finally, we discuss the key challenges that hinder the practical deployment of intelligent prescription recommendation systems, including data heterogeneity, limited interpretability, and insufficient integration of TCM domain knowledge. Future research directions are outlined to facilitate the development of more reliable, interpretable, and clinically applicable AI-assisted HPR systems for TCM.

ObjectiveTo systematically screen and validate key immunogenic cell death （ICD）-related genes that play important roles in primary sjögren’s syndrome （pSS） using multi-omics data. MethodsGene expression profiles of pSS patients and healthy controls （GSE66795， 131pSS patients/29 healthy controls） were obtained from the Gene Expression Omnibus （GEO） database. Candidate genes were selected by intersecting these profiles with known ICD core gene sets and pSS-related targets. The CIBERSORT algorithm was used to analyze immune cell infiltration characteristics. Validation of gene expression was performed using transcriptomic data from sorted CD8⁺ T cell subsets （GSE93683）. Finally， labial gland tissues and peripheral blood samples from 10 pSS patients and 4 healthy controls were collected， and key genes were experimentally validated by reverse transcription quantitative polymerase chain reaction （RT-qPCR）. ResultsSeven intersecting genes from the ICD-differentially expressed genes （DEGs）-pSS intersection were identified ［caspase 1 （CASP1）， forkhead box P3 （FOXP3）， interferon-gamma （IFNG）， myeloid differentiation primary response 88 （MYD88）， toll-like receptor 7 （TLR7）， DExD/H-box helicase 58 （DDX58）， and interferon induced helicase C domain 1 （IFIH1）］. Immune infiltration analysis showed that in pSS labial gland tissues， the proportions of naïve B cells and dendritic cells significantly increased， while the proportions of resting NK cells and M0 macrophages decreased （P<0.05）. Transcriptomic data of CD8⁺T cell subsets indicated that IFIH1 expression was significantly elevated in central memory CD8⁺T cells （P<0.05）. RT-qPCR experimental validation revealed that DDX58， IFIH1， and CASP1 were significantly upregulated in both peripheral blood leukocytes and labial gland tissues of pSS patients （all P<0.05）， whereas IFNG expression increased in peripheral blood but decreased in labial gland tissues （P<0.05）. ConclusionThis study identified and confirmed DDX58， IFIH1， CASP1， and IFNG as key ICD-related genes in pSS through a combination of bioinformatics and experimental validation， providing new candidate targets for further understanding the immunopathological mechanisms of pSS.

ObjectiveTo determine whether Jinshui Huanxian component formula Ⅱ （ECC-JHF Ⅱ） and matrix hardness interfere with the process of epithelial-mesenchymal transition （EMT） during pulmonary fibrosis by regulating integrin β₁ （ITG β₁）， and to elucidate the underlying mechanism. MethodsA pulmonary fibrosis mouse model was established by a single intratracheal instillation of bleomycin （BLM）. To observe the disease progression at various time points， the mice were sacrificed before modeling and on days 7， 14， 21， 28 and 42 after modeling for assessment of relevant indicators. To evaluate the therapeutic effect of drug intervention， the mice were given ECC-JHF Ⅱ and pirfenidone （PFD） by gavage starting on day 29 after modeling for 14 days of treatment， after which the mice were sacrificed. Pulmonary function， pathological changes， collagen deposition， lung tissue hardness and EMT markers were detected. Polyethylene glycol （PEG） composite hydrogels with different hardness were prepared in vitro using biomaterials such as eight-arm polyethylene glycol thiol （PEG-SH） and eight-arm polyethylene glycol maleimide （PEG-MAL）. Human type Ⅱ alveolar epithelial cells cultured in hard matrix culture dishes were treated with low， medium， and high doses of ECC-JHF Ⅱ （15.31， 30.63， 61.25 mg·L^-1） to observe the intervention effect of ECC-JHF Ⅱ on EMT induced by transforming growth factor beta 1 （TGF-β₁）. Human type Ⅱ alveolar epithelial cells cultured on soft （3.8 kPa） and hard （culture dishes， ~ GPa） matrices were treated with ECC-JHF Ⅱ， respectively. The mRNA and fluorescence expression levels of the epithelial marker E-cadherin （CDH1）， the mesenchymal marker N-cadherin （CDH2） and vimentin （VIM）， as well as ITG β₁， were detected by real-time quantitative polymerase chain reaction （Real-time PCR） and immunofluorescence. Western blot was used to detect the protein expression of CDH1， CDH2 and ITG β₁， and the biomechanical mechanism of ECC-JHF Ⅱ on EMT and pulmonary fibrosis was further verified by knocking down and specific activation of ITG β₁. ResultsECC-JHF Ⅱ treatment improved BLM-induced pulmonary fibrosis in mice， as evidenced by significantly increased minute ventilation （MV） and 50% expiratory flow at tidal volume （EF₅₀） （P<0.05）， and significantly increased tidal volume （TV） after treatment （P<0.01） compared with the model group. Immunohistopathological analysis revealed attenuated inflammation and alveolar injury， reduced deposition of type Ⅰ collagen （Col-Ⅰ）， and significantly decreased lung tissue stiffness （P<0.01）， thereby alleviating disease progression. The real-time PCR results showed that， compared with the model group， the ECC-JHF Ⅱ group showed increased CDH1 expression and decreased CDH2 and VIM expression in mouse lung tissues （P<0.05， P<0.01）， indicating that ECC-JHF Ⅱ inhibited the EMT process to ameliorate pulmonary fibrosis. In vitro experimental results showed that both ECC-JHF Ⅱ and matrix softening reversed the EMT phenotype switch. Specifically， compared with the hard matrix group， the cells cultured on the soft matrix exhibited significantly upregulated expression of the epithelial marker CDH1 （P<0.01） and significantly downregulated expression of the mesenchymal markers CDH2 and VIM （P<0.05）. Furthermore， ECC-JHF Ⅱ inhibited the expression of ITG β₁ both in vitro and in vivo. Knockdown and specific activation of ITG β₁ further confirmed that ITG β₁ is involved in the regulatory process by which ECC-JHF Ⅱ inhibits EMT and ameliorates pulmonary fibrosis. ConclusionECC-JHF Ⅱ and matrix softening can block the EMT process and ameliorate pulmonary fibrosis， and the underlying mechanism may be associated with the inhibition of ITG β₁-mediated mechanotransduction. This study reveals a novel mechanism of ECC-JHF Ⅱ intervention in pulmonary fibrosis from a biomechanical perspective.

Electroencephalogram (EEG) is a non-invasive, high temporal-resolution technique for monitoring brain activity. However, affected by the volume conduction effect, EEG has a low spatial resolution and is difficult to locate brain neuronal activity precisely. The surface Laplacian (SL) technique obtains the Laplacian EEG (LEEG) by estimating the second-order spatial derivative of the scalp potential. LEEG can reflect the radial current activity under the scalp, with positive values indicating current flow from the brain to the scalp (“source”) and negative values indicating current flow from the scalp to the brain (“sink”). It attenuates signals from volume conduction, effectively improving the spatial resolution of EEG, and is expected to contribute to breakthroughs in neural engineering. This paper provides a systematic overview of the principles and development of SL technology. Currently, there are two implementation paths for SL technology: current source density algorithms (CSD) and concentric ring electrodes (CRE). CSD performs the Laplace transform of the EEG signals acquired by conventional disc electrodes to indirectly estimate the LEEG. It can be mainly classified into local methods, global methods, and realistic Laplacian methods. The global method is the most commonly used approach in CSD, which can achieve more accurate estimation compared with the local method, and it does not require additional imaging equipment compared with the realistic Laplacian method. CRE employs new concentric ring electrodes instead of the traditional disc electrodes, and measures the LEEG directly by differential acquisition of the multi-ring signals. Depending on the structure, it can be divided into bipolar CRE, quasi-bipolar CRE, tripolar CRE, and multi-pole CRE. The tripolar CRE is widely used due to its optimal detection performance. While ensuring the quality of signal acquisition, the complexity of its preamplifier is relatively acceptable. Here, this paper introduces the study of the SL technique in resting rhythms, visual-related potentials, movement-related potentials, and sensorimotor rhythms. These studies demonstrate that SL technology can improve signal quality and enhance signal characteristics, confirming its potential applications in neuroscientific research, disease diagnosis, visual pathway detection, and brain-computer interfaces. CSD is frequently utilized in applications such as neuroscientific research and disease detection, where high-precision estimation of LEEG is required. And CRE tends to be used in brain-computer interfaces, that have stringent requirements for real-time data processing. Finally, this paper summarizes the strengths and weaknesses of SL technology and envisages its future development. SL technology boasts advantages such as reference independence, high spatial resolution, high temporal resolution, enhanced source connectivity analysis, and noise suppression. However, it also has shortcomings that can be further improved. Theoretically, simulation experiments should be conducted to investigate the theoretical characteristics of SL technology. For CSD methods, the algorithm needs to be optimized to improve the precision of LEEG estimation, reduce dependence on the number of channels, and decrease computational complexity and time consumption. For CRE methods, the electrodes need to be designed with appropriate structures and sizes, and the low-noise, high common-mode rejection ratio preamplifier should be developed. We hope that this paper can promote the in-depth research and wide application of SL technology.

Objective To investigate and analyze the occupational stress levels and influencing factors among radiation workers in China, and provide a reference for alleviating occupational stress and promoting mental health. Methods Using the general situation questionnaire, Effort-Reward Imbalance questionnaire, and radiation protection knowledge questionnaire, a convenience sampling method was adopted to investigate the occupational stress of 243 radiation workers in Liaoning, Fujian, Guangdong, and Xinjiang provinces. The independent samples t-test, one-way analysis of variance, chi-square test, and binary logistic regression were used to analyze the influencing factors. Results The average score of Effort-Reward Imbalance was 0.97 ± 0.22, and 100 (41.15%) radiation workers had occupational stress. There were significant differences in the detection rate of occupational stress among radiation workers of different ages, working years in radiation positions, monthly incomes, daily sleep durations, and daily working hours (P < 0.05). Logistic regression analysis identified daily working hours as a factor contributing to occupational stress. Conclusion The occupational stress among radiation workers in China is relatively severe. It is recommended to pay attention to the associated risks and implement targeted intervention measures to reduce the impact of occupational stress.

OBJECTIVE: To evaluate the dynamic changes of glucocorticoid (GC) dose and the feasibility of GC discontinuation in rheumatoid arthritis (RA) patients under the background of Chinese medicine (CM). METHODS: This multicenter retrospective cohort study included 1,196 RA patients enrolled in the China Rheumatoid Arthritis Registry of Patients with Chinese Medicine (CERTAIN) from September 1, 2019 to December 4, 2023, who initiated GC therapy. Participants were divided into the Western medicine (WM) and integrative medicine (IM, combination of CM and WM) groups based on medication regimen. Follow-up was performed at least every 3 months to assess dynamic changes in GC dose. Changes in GC dose were analyzed by generalized estimator equation, the probability of GC discontinuation was assessed using Kaplan-Meier curve, and predictors of GC discontinuation were analyzed by Cox regression. Patients with <12 months of follow-up were excluded for the sensitivity analysis. RESULTS: Among 1,196 patients (85.4% female; median age 56.4 years), 880 (73.6%) received IM. Over a median 12-month follow-up, 34.3% (410 cases) discontinued GC, with significantly higher rates in the IM group (40.8% vs. 16.1% in WM; P<0.05). GC dose declined progressively, with IM patients demonstrating faster reductions (median 3.75 mg vs. 5.00 mg in WM at 12 months; P<0.05). Multivariate Cox analysis identified age <60 years [P<0.001, hazard ratios (HR)=2.142, 95% confidence interval (CI): 1.523-3.012], IM therapy (P=0.001, HR=2.175, 95% CI: 1.369-3.456), baseline GC dose ⩽7.5 mg (P=0.003, HR=1.637, 95% CI: 1.177-2.275), and absence of non-steroidal anti-inflammatory drugs use (P=0.001, HR=2.546, 95% CI: 1.432-4.527) as significant predictors of GC discontinuation. Sensitivity analysis (545 cases) confirmed these findings. CONCLUSIONS RA patients receiving CM face difficulties in following guideline-recommended GC discontinuation protocols. IM can promote GC discontinuation and is a promising strategy to reduce GC dependency in RA management. (Trial registration: ClinicalTrials.gov, No. NCT05219214).
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Arthritis, Rheumatoid/drug therapy* ; Glucocorticoids/therapeutic use* ; Medicine, Chinese Traditional ; Retrospective Studies

Despite therapy with potent antiviral agents, chronic hepatitis B (CHB) patients remain at high risk of hepatocellular carcinoma (HCC). While metabolites have been rediscovered as active drivers of biological processes including carcinogenesis, the specific metabolites modulating HCC risk in CHB patients are largely unknown. Here, we demonstrate that baseline plasma from CHB patients who later developed HCC during follow-up exhibits growth-promoting properties in a case-control design nested within a large-scale, prospective cohort. Metabolomics analysis reveals a reduction in long-chain acylcarnitines (LCACs) in the baseline plasma of patients with HCC development. LCACs preferentially inhibit the proliferation of HCC cells in vitro at a physiological concentration and prevent the occurrence of HCC in vivo without hepatorenal toxicity. Uptake and metabolism of circulating LCACs increase the intracellular level of acetyl coenzyme A, which upregulates histone H3 Lys14 acetylation at the promoter region of KLF6 gene and thereby activates KLF6/p21 pathway. Indeed, blocking LCAC metabolism attenuates the difference in KLF6/p21 expression induced by baseline plasma of HCC/non-HCC patients. The deficiency of circulating LCACs represents a driver of HCC in CHB patients with viral control. These insights provide a promising direction for developing therapeutic strategies to reduce HCC risk further in the antiviral era.

Enamel demineralization, the formation of white spot lesions, is a common issue in clinical orthodontic treatment. The appearance of white spot lesions not only affects the texture and health of dental hard tissues but also impacts the health and aesthetics of teeth after orthodontic treatment. The prevention, diagnosis, and treatment of white spot lesions that occur throughout the orthodontic treatment process involve multiple dental specialties. This expert consensus will focus on providing guiding opinions on the management and prevention of white spot lesions during orthodontic treatment, advocating for proactive prevention, early detection, timely treatment, scientific follow-up, and multidisciplinary management of white spot lesions throughout the orthodontic process, thereby maintaining the dental health of patients during orthodontic treatment.
Humans ; Consensus ; Dental Caries/etiology* ; Dental Enamel/pathology* ; Tooth Demineralization/etiology* ; Tooth Remineralization