ObjectiveThis study proposes a novel single-cell protein localization method based on a class perception graph convolutional network (CP-GCN) to overcome several critical challenges in protein microscopic image analysis, including the scarcity of cell-level annotations, inadequate feature extraction, and the difficulty in achieving precise protein localization within individual cells. The methodology involves multiple innovative components designed to enhance both feature extraction and localization accuracy. MethodsFirst, a class perception module (CPM) is developed to effectively capture and distinguish semantic features across different subcellular categories, enabling more discriminative feature representation. Building upon this, the CP-GCN network is designed to explore global features of subcellular proteins in multicellular environments. This network incorporates a category feature-aware module to extract protein semantic features aligned with label dimensions and establishes a subcellular relationship mining module to model correlations between different subcellular structures. By doing so, it generates co-occurrence embedding features that encode spatial and contextual relationships among subcellular locations, thereby improving feature representation. To further refine localization, a multi-scale feature analysis approach is employed using the K-means clustering algorithm, which classifies multi-scale features within each subcellular category and generates multi-cell class activation maps (CAMs). These CAMs highlight discriminative regions associated with specific subcellular locations, facilitating more accurate protein localization. Additionally, a pseudo-label generation strategy is introduced to address the lack of annotated single-cell data. This strategy segments multicellular images into single-cell images and assigns reliable pseudo-labels based on the CAM-predicted regions, ensuring high-quality training data for single-cell analysis. Under a transfer learning framework, the model is trained to achieve precise single-cell-level protein localization, leveraging both the extracted features and pseudo-labels for robust performance. ResultsExperimental validation on multiple single-cell test datasets demonstrates that the proposed method significantly outperforms existing approaches in terms of robustness and localization accuracy. Specifically, on the Kaggle 2021 dataset, the method achieves superior mean average precision (mAP) metrics across 18 subcellular categories, highlighting its effectiveness in diverse protein localization tasks. Visualization of the generated CAM results further confirms the model’s capability to accurately localize subcellular proteins within individual cells, even in complex multicellular environments. ConclusionThe integration of the CP-GCN network with a pseudo-labeling strategy enables the proposed method to effectively capture heterogeneous cellular features in protein images and achieve precise single-cell protein localization. This advancement not only addresses key limitations in current protein image analysis but also provides a scalable and accurate solution for subcellular protein studies, with potential applications in biomedical research and diagnostic imaging. The success of this method underscores the importance of combining advanced deep learning architectures with innovative training strategies to overcome data scarcity and improve localization performance in biological image analysis. Future work could explore the extension of this framework to other types of microscopic imaging and its application in large-scale protein interaction studies.

As one of the chronic diseases with high incidence in contemporary society, cervical spondylosis has increasing patient groups who gradually present a low age, and it seriously affects social and public health. Although modern medicine has made great progress in the pathological research and clinical treatment of cervical spondylosis, patients still face gastrointestinal side effects of nonsteroidal anti-inflammatory drugs(NSAIDs), neck pain, limited mobility, upper limb numbness, and other symptoms after conservative or surgical treatment. In the theory of traditional Chinese medicine(TCM), cervical spondylosis belongs to the categories of "Bi syndrome" "stiff neck" "stiff Bi", etc. With the change of the times, the change of lifestyle, and the application of western medicine treatment, the etiology and pathogenesis of TCM in cervical spondylosis also show new characteristics. In terms of etiology and pathogenesis, it involves the invasion of wind, cold, and dampness, long-term strain, liver and kidney deficiency, Qi and blood stasis, which are associated with factors such as cervical degeneration, muscle tension and spasm, intervertebral disc herniation, and nerve root compression in modern medicine. In terms of the evolution of pathogenesis, in the early stage, wind, cold, and dampness, were more common in Xuanfu, resulting in unfavorable muscles and bones, poor flow of Qi and blood, and cervical spondylosis and radiculopathy. Medium-term phlegm stasis and internal knots, sluggish muscles and veins, and long-term weathering and fire are more likely to occur in the vertebral artery and sympathetic radiculopathy. In the later stage, the positive Qi is depleted; the true Yin is damaged, and the viscera Qi and blood are deficient, which is most common in cervical myelopathy. The strategy of treating cervical spondylosis with TCM classic formulas applies Gegen Decoction, Wutou Decoction, Qianghuo Shengshi Decoction, Mahuang Jiazhu Decoction to patients with wind, cold, and dampness. Patients with phlegm dampness and blood stasis are treated with Huoxue Xiaoling Dan, Jinlingzi Powder, Siwu Decoction, Banxia Baizhu Tianma Decoction, Shuanghe Decoction, etc. For those patients with liver, spleen, and kidney deficiency, Huangqi Guizhi Wuwu Decoction, Tianma Gouteng Decoction, Guishao Dihuang Pills, Shenling Baizhu Powder, and Lizhong Decoction are used to invigorate the spleen, nourish Qi and blood, and tonify liver and kidney. In clinical practice, the authors advocate a safe and effective treatment plan of classic formulas based on deficiency and excess, the integration of formulas and syndromes, and the combination of modern research results, so as to relieve symptoms, reduce recurrence, and reduce medical burden.
Humans ; Spondylosis/drug therapy* ; Medicine, Chinese Traditional/methods* ; Drugs, Chinese Herbal/therapeutic use* ; Cervical Vertebrae/pathology*

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

The glucagon receptor (GCGR) is a critical target for the treatment of metabolic disorders such as Type 2 Diabetes Mellitus (T2DM) and obesity. Activation of GCGR enhances systemic insulin sensitivity through paracrine stimulation of insulin secretion, presenting a promising avenue for treatment. However, the discovery of effective GCGR agonists remains a challenging and resource-intensive process, often requiring time-consuming wet-lab experiments to synthesize and screen potential compounds. Recent advances in artificial intelligence technologies have demonstrated great potential in accelerating drug discovery by streamlining screening and efficiently predicting bioactivity. In the present work, we propose DeepGCGR, a two-layer deep learning model that leverages graph convolutional networks (GCN) integrated with a multiple attention mechanism to expedite the identification of GCGR agonists. In the first layer, the model predicts the bioactivity of various compounds against GCGR, efficiently filtering large chemical libraries to identify promising candidates. In the second layer, DeepGCGR classifies high bioactive compounds based on their functional effects on GCGR signaling, identifying those with potential agonistic or antagonistic effects. Moreover, DeepGCGR was specifically applied to identify novel GCGR-regulating compounds for the treatment of T2DM from natural products derived from traditional Chinese medicine (TCM). The proposed method will not only offer an effective strategy for discovering GCGR-targeting compounds with functional activation properties but also provide new insights into the development of T2DM therapeutics.
Deep Learning ; Drug Discovery/methods* ; Humans ; Diabetes Mellitus, Type 2/metabolism* ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal/pharmacology*

Objective To culture and expand primary rat aortic vascular stem cells in vitro and evaluate their characteristics as mesenchymal stem cells.Methods The thoracic and abdominal aortas isolated from 2-to 3-week-old Sprague-Dawley rats were cut into vascular segments 2.0 mm in length and cultured in culture flasks till adhesion and solidification of the outer membranes.The primary cells were further cultured to 80%-90%confluence before passaging.The morphology and growth characteristics of the cells were observed under a microscope,and the expressions of surface marker CD molecules on the cells was analyzed using flow cytometry.Adipogenic and osteogenic differentiation assays were performed to assess the capacity of the cells for multilineage differentiation.Results After 3 days of culture,a small number of spindle,star-shaped or polygonal cells migrated out from the peripheral of the vascular segments.At 5-6 days,island-like cell clusters occurred and the cells began to proliferate rapidly.The cell clusters expanded radially and showed signs of cell cloning.At 7-8 days,the cells fused into sheets and displayed a vortex-like distribution.The cells in the third passage presented with a uniform morphology,showing a typical fibroblast-like arrangement.Flow cytometry showed that the cells expressed predominantly CD44(80.3%),CD73(62.2%)and CD90(46.8%)with low expressions of CD34(1.1%),CD45(0.2%)and CD11b/c(0.2%).Adipogenic and osteogenic differentiation experiments demonstrated that the cells were capable of lipogenic and osteogenic differentiation in vitro.Conclusion Rat aortic vascular stem cells with mesenchymal stem cell characteristics can be successfully isolated and cultured by adherent culture of the segmented outer membrane.

Objective To culture and expand primary rat aortic vascular stem cells in vitro and evaluate their characteristics as mesenchymal stem cells.Methods The thoracic and abdominal aortas isolated from 2-to 3-week-old Sprague-Dawley rats were cut into vascular segments 2.0 mm in length and cultured in culture flasks till adhesion and solidification of the outer membranes.The primary cells were further cultured to 80%-90%confluence before passaging.The morphology and growth characteristics of the cells were observed under a microscope,and the expressions of surface marker CD molecules on the cells was analyzed using flow cytometry.Adipogenic and osteogenic differentiation assays were performed to assess the capacity of the cells for multilineage differentiation.Results After 3 days of culture,a small number of spindle,star-shaped or polygonal cells migrated out from the peripheral of the vascular segments.At 5-6 days,island-like cell clusters occurred and the cells began to proliferate rapidly.The cell clusters expanded radially and showed signs of cell cloning.At 7-8 days,the cells fused into sheets and displayed a vortex-like distribution.The cells in the third passage presented with a uniform morphology,showing a typical fibroblast-like arrangement.Flow cytometry showed that the cells expressed predominantly CD44(80.3%),CD73(62.2%)and CD90(46.8%)with low expressions of CD34(1.1%),CD45(0.2%)and CD11b/c(0.2%).Adipogenic and osteogenic differentiation experiments demonstrated that the cells were capable of lipogenic and osteogenic differentiation in vitro.Conclusion Rat aortic vascular stem cells with mesenchymal stem cell characteristics can be successfully isolated and cultured by adherent culture of the segmented outer membrane.

Objective:To investigate the effects of targeted silencing of muscle blind-like protein 1 (MBNL1) gene on the proliferation, apoptosis and migration abilities of leukemia cell line K562 and their possible mechanisms.Methods:Single gene analysis was used to search for differences in MBNL1 gene expression between leukemia samples (173 cases) and healthy control samples (70 cases) in The Cancer Genome Atlas (TCGA) database. The data were updated in 2018. The logarithmic growth phase leukemia cell line K562 was taken and divided into sh-MBNL1 group (transfected with shRNA sequence with targeted silencing of MBNL1 gene), sh-NC group (transfected with corresponding negative control shRNA sequence) and blank control group (not transfected with shRNA sequence). Real-time fluorescence quantitative polymerase chain reaction (qRT-PCR) was used to detect the relative expression levels of MBNL1, transforming growth factor β 1 (TGF-β 1) and Smad7 mRNA in each group of cells; Western blotting was used to detect the relative expression levels of cell migration-related proteins, apoptosis-related proteins, TGF-β 1, and Smad7 proteins; CCK-8 method was used to detect cell proliferation ability; Transwell method was used to detect cell migration ability. Results:In TCGA database, the relative expression level of MBNL1 gene in leukemia samples was higher than that in healthy control samples ( P < 0.05). The relative expression levels of MBNL1 protein in the sh-MBNL1 group, sh-NC group and blank control group were 0.71±0.11, 1.00±0.11 and 1.03±0.10, respectively, and the difference was statistically significant ( F = 7.78, P < 0.05); the relative expression level of MBNL1 protein in the sh-MBNL1 group was lower than that in the sh-NC group and blank control group (both P < 0.05). The results of CCK-8 assay showed that the cell proliferation ability of sh-MBNL1 group at 72 and 96 hours after transfection was higher than that of sh-NC group and blank control group (both P < 0.05). The Transwell method detection results showed that the number of cell membrane penetration in the sh-MBNL1 group, sh-NC group and blank control group were 666±135, 1 072±157 and 1 006±51, respectively, and the difference was statistically significant ( F = 9.40, P = 0.014); the number of cell membrane penetration in the sh-MBNL1 group was less than that in the sh-NC group and blank control group (both P < 0.05). The relative expression level of E-cadherin protein in the sh-MBNL1 group was higher than that in the sh-NC group and blank control group (both P < 0.01); the relative expression levels of Vimentin, Bax, caspase-3, TGF-β 1, and Smad7 proteins in the sh-MBNL1 group were lower than those in the sh-NC group and blank control group (all P < 0.01). The qRT-PCR detection results showed that the relative expression levels of TGF-β 1 mRNA and Smad7 mRNA in the sh-MBNL1 group were lower than those in the sh-NC group and blank control group (both P < 0.05). Conclusions:Silencing of MBNL1 gene can promote the proliferation of leukemia cell line K562, weaken its migration ability, and affect cell apoptosis. The mechanism may be related to the regulatory effect of TGF-β-Smad signaling pathway.

Regarding the air quality problems,this article summarized the adverse factors such as trace harmful gases,small particulate matter,and high concentration carbon dioxide that existed in space closed environment,and compared the advantages and disadvantages of physical and chemical treatment methods to improve air quality.The focus was on exploring the improvement benefits of plants method on air quality,and summarizing the research progress in three aspects:absorption of trace harmful gases,release of negative oxygen ions,and absorption of carbon dioxide.The current research problems were pointed out,and the future research directions on using plants to improve the air quality in space closed environment were predicted.

Objective:To assess the occurrence, prognosis and possible early risk factors of jaundice in polytrauma patients.Methods:This study was a single-center, prospective study. Polytrauma patients (age>18 years) admitted to Tongji Trauma Center from October 2020 to January 2023 were enrolled. The patients with liver, biliary tract or pancreatic traumatic injury, previously suffered from chronic liver disease were excluded. The clinical characteristics of patients, laboratory test results, imaging examination results, Injury Severity Score (ISS), Glasgow Coma Score and APACHEⅡ score were collected. The incidence of jaundice, the classification of jaundice or the severity of jaundice after multiple injuries, the mortality rate of polytrauma patients with jaundice, and the early independent risk factors of jaundice in polytrauma were analyzed. The differences between the groups were compared by Student’s t test or χ2 test. The independent risk factors of jaundice were analyzed by Logistic regression analyzed. Results:A total of 742 polytrauma patients were included, 34.09% polytrauma patients were accompanied by jaundice, and the ratio of both moderate and severe jaundice were as high as 32.41%. The main type of jaundice was intrahepatic cholestatic jaundice (47.03%). The mortality rate of polytrauma patients accompanied by jaundice was significantly higher than that of polytrauma patients without jaundice (12.25% vs. 3.47%, P<0.001). Logistic regression analysis showed that ISS score ( OR=3.405, 95% CI: 1.962-7.438, P=0.026), plasma lactate ( OR=2.216, 95% CI: 1.203-4.862, P=0.017), interleukin-6 levels ( OR=2.431, 95% CI: 1.424-3.793, P=0.007), the overall duration of parenteral nutrition ( OR=3.011, 95% CI: 1.624-5.041, P=0.022), and the total duration of mechanical ventilation ( OR=3.572, 95% CI: 1.497-4.601, P=0.031) were the early independent risk factors for jaundice in patients after polytrauma. Conclusions:Polytrauma patients are prone to developing jaundice after injury, which is more harmful, especially for intrahepatic cholestatic jaundice after injury. Early identification and early intervention of risk factors associated with jaundice after injury should be strengthened.