AIM: To screen and analyze the influencing factors of myopia among primary and secondary school students and establish a predictive model to provide ideas for the prevention and control measures of myopia among children and adolescents.METHODS:A total of 1 759 primary and secondary school students from 2 primary schools, 2 junior high schools, 2 senior high schools and 1 vocational high school in the urban area of Qingdao were sampled by means of stratified cluster sampling in September 2023. Vision screening and a questionnaire survey on influencing factors were carried out based on machine learning algorithms. The screening and determination were mainly conducted in accordance with the Standard Logarithmic Visual Acuity Chart(GB/T11533-2011)and the Specifications for Screening Myopia in Children and Adolescents. The influencing factors of myopia were analyzed and a prediction model was developed based on the machine learning algorithms LASSO in combination with XGBoost, and visualization was achieved through an interactive Nomogram. Statistical analysis was performed using R statistical software version 4.3.3.RESULTS:The screening prevalence of myopia among primary and secondary school students in the urban area of Qingdao was 70.61%(1 242 cases). The optimal predictive variables for screening were grade, gender, whether parents were myopic, daily indoor sedentary time, appropriate distance between eyes and books during reading and writing, daily sleep time, distance between eyes and TV screen when watching TV/playing video games exceeding 3 meters, the playground during breaks, total duration of tutorial classes, how often eyes are rested during near work, daily computer usage time, and average daily homework time after school, totaling 12 influencing factors. The AUCs of the training set and test set were 0.770(95%CI:0.751-0.789)and 0.732(95%CI:0.714-0.750), respectively.CONCLUSION: A machine learning-based prediction model was developed and validated to predict the risk of myopia onset in primary and secondary school students, accompanied by effective visualization techniques.

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.

OBJECTIVES: To investigate the association between maternal depressive symptoms and adolescent suicidal ideation, and to examine the chain mediating roles of childhood trauma and ineffectiveness. METHODS: A cross-sectional online survey was administered by school psychologists to 4 157 mother-adolescent pairs from middle schools in Shanghai and Henan, China. Measures included the Center for Epidemiological Studies Depression Scale, the Childhood Trauma Questionnaire, and the Children's Depression Inventory. Using Bootstrap method to examine the chain mediating effect of childhood trauma and ineffectiveness on the relationship between maternal depression symptoms and adolescent suicidal ideation. RESULTS: The prevalence of maternal depressive symptoms was 17.68% (735/4 157); among adolescents, the prevalence of depressive symptoms was 15.49% (644/4 157), and suicidal ideation was 28.19% (1 172/4 157). Adolescent depressive symptoms and suicidal ideation were positively correlated with maternal depressive symptoms, childhood trauma, and ineffectiveness (all P<0.01). Childhood trauma significantly mediated the association between maternal and adolescent depressive symptoms (95%CI: 0.046 9-0.077 2). The chain mediation of childhood trauma and ineffectiveness in the association between maternal depressive symptoms and adolescent suicidal ideation was also significant (95%CI: 0.000 7-0.001 3). CONCLUSIONS Higher maternal depressive symptom levels are associated with a greater likelihood of adolescents' exposure to childhood trauma, which increases adolescents' ineffectiveness and, in turn, is associated with suicidal ideation. This chain effect has important implications for social interventions targeting adolescent depression.
Humans ; Suicidal Ideation ; Adolescent ; Female ; Depression/etiology* ; Cross-Sectional Studies ; Mothers/psychology* ; Male ; Child ; Adult

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

Immunotherapy has emerged as a revolutionary approach to treat immune-related diseases. Dendritic cells (DCs) play a pivotal role in orchestrating immune responses, making them an attractive target for immunotherapeutic interventions. Modulation of gene expression in DCs using genome editing techniques, such as the CRISPR-Cas system, is important for regulating DC functions. However, the precise delivery of CRISPR-based therapies to DCs has posed a significant challenge. While lipid nanoparticles (LNPs) have been extensively studied for gene editing in tumor cells, their potential application in DCs has remained relatively unexplored. This study investigates the important role of cholesterol in regulating the efficiency of BAMEA-O16B lipid-assisted nanoparticles (BLANs) as carriers of CRISPR/Cas9 for gene editing in DCs. Remarkably, BLANs with low cholesterol density exhibit exceptional mRNA uptake, improved endosomal escape, and efficient single-guide RNA release capabilities. Administration of BLAN_mCas9/gPD-L1 results in substantial PD-L1 gene knockout in conventional dendritic cells (cDCs), accompanied by heightened cDC1 activation, T cell stimulation, and significant suppression of tumor growth. The study underscores the pivotal role of cholesterol density within LNPs, revealing potent influence on gene editing efficacy within DCs. This strategy holds immense promise for the field of cancer immunotherapy, offering a novel avenue for treating immune-related diseases.

Objective To investigate the prevalence of primary drug resistance among HIV-1 patients in Hubei Province from 2020 to 2022, and to provide corresponding basis and data support for HIV antiviral therapy (ART) in Hubei Province. Methods During 2020-2022, plasma samples of HIV-1 infected patients before ART were collected., Patients’ demographic data and baseline laboratory test data were also collected. HIV-1 pol region was amplified by in-house method for sub-type typing and drug-resistant mutation site analysis. Results The pol gene sequence was successfully amplified in 242 of 285 cases, with a success rate of 84.9%. CRF07_BC was the predominant HIV-1 sub-type, accounting for 47.11% (114/242), followed by CRF01_AE, accounting for 25.21% (61/242), sub-type B, accounting for 14.16% (35/242), and CRF55_01B, accounting for 4.13% (10/242). The primary resistance rate was 6.20% (15/242). The mutation site of nucleoside reverse transcriptase inhibitors (NRTIs) was mainly M184V, and the mutation sites of non-nucleoside reverse transcriptase inhibitors (NNRTIs) were mainly E138A/G/EG and V179E. These different mutation sites led to different degrees of drug resistance to 12 drugs. The incidence of drug resistance mutation of CRF55_01B sub-type was significantly higher than that of other sub-types. Conclusion The primary drug resistance rate of HIV-1 infected patients is at a slightly high level in Hubei Province, and close monitoring of primary drug resistance and mutation sites should be strengthened before ART, especially for CRF55_01B sub-type.

Objective To explore the efficacy and safety of recombinant human anti-severe acute respiratory syn-drome coronavirus 2(anti-SARS-CoV-2)monoclonal antibody injection(F61 injection)in the treatment of patients with coronavirus disease 2019(COVID-19)combined with renal damage.Methods Patients with COVID-19 and renal damage who visited the PLA General Hospital from January to February 2023 were selected.Subjects were randomly divided into two groups.Control group was treated with conventional anti-COVID-19 therapy,while trial group was treated with conventional anti-COVID-19 therapy combined with F61 injection.A 15-day follow-up was conducted after drug administration.Clinical symptoms,laboratory tests,electrocardiogram,and chest CT of pa-tients were performed to analyze the efficacy and safety of F61 injection.Results Twelve subjects(7 in trial group and 5 in control group)were included in study.Neither group had any clinical progression or death cases.The ave-rage time for negative conversion of nucleic acid of SARS-CoV-2 in control group and trial group were 3.2 days and 1.57 days(P=0.046),respectively.The scores of COVID-19 related target symptom in the trial group on the 3rd and 5th day after medication were both lower than those of the control group(both P＜0.05).According to the clinical staging and World Health Organization 10-point graded disease progression scale,both groups of subjects improved but didn't show statistical differences(P＞0.05).For safety,trial group didn't present any infusion-re-lated adverse event.Subjects in both groups demonstrated varying degrees of elevated blood glucose,elevated urine glucose,elevated urobilinogen,positive urine casts,and cardiac arrhythmia,but the differences were not statistica-lly significant(all P＞0.05).Conclusion F61 injection has initially demonstrated safety and clinical benefit in trea-ting patients with COVID-19 combined with renal damage.As the domestically produced drug,it has good clinical accessibility and may provide more options for clinical practice.

Objective:To establish a feasible mouse model of post-stroke dysphagia(PSD).Methods:Thirty C57BL/6 male mice were randomly divided into a sham-operated group(Sham)and a model group(PSD),and the PSD mouse model was made by the photothrombosis method(PT)method,and the sham-operated group was only injec-ted with rose bengal staining solution in the tail vein.The cerebral blood flow of the mice was measured by laser scatter imaging,the ratio of cerebral infarct area was detected by TTC staining,the electromyographic area of the in vivo pha-ryngeal muscle group of mice swallowing was recorded by a multi-conductor physiological recorder MP160,the drinking function of the mice was measured by the 4-min water drinking experiment,and the weight changes were recorded,respectively,at 1,3,and 7 d.Results:Cerebral blood flow decreased at all time points,with a sharp drop in cerebral blood flow at 1 d,gradual recovery of cerebral blood flowat 3 and 7 d,establishment of collateral circulation,and gradu-al reduction of cerebral infarction area;compared with the Sham group,the myoelectric area of the PSD group was reduced at 1 and 3 d(P＜0.05),but with a trend of gradual recovery,and there was no significant difference between the PSD group and the Sham group at 7 d,and water consumption and weight decreased at 4 min at 1,3,and 7 d(P＜0.05).Conclusion:The mice showed some degree of dysphagia symptoms and are expected to be a translational model for PSD.

Objective To explore the application of nucleic acid test in the diagnosis of HIV western blotting (WB) indeterminate and negative samples. Methods A total of 2 518 HIV samples to be confirmed were collected from the Hubei HIV Confirmation Center Laboratory from 2014 to 2022. The results of follow-up antibody test and nucleic acid test of WB indeterminate and negative samples were analyzed, and the diagnostic rate, sensitivity, specificity and coincidence rate of the two detection strategies were compared. Results There were totally 133 indeterminate or negative samples by WB test. Of the 99 indeterminate samples , 76 (76.77%) had nucleic acid test results >5000 copies/mL. 40 cases were followed up, of which 33 cases (82.50%) turned positive and 7 (17.50%) were still uncertain. Of the 7 samples with 20~5000 copies /mL (7.07%), 2 cases were followed up and both turned positive during the follow-up. 1 case (1.01%) with nucleic acid <20 copies/mL turned positive during follow-up. Among the 34 WB negative samples, 15 cases (45.45%) were > 5 000 copies/mL, 9 of which were seroconversion. The diagnostic rates of ^“antibody confirmation^” and ^“nucleic acid test^” were 96.78% (2 437/2 518) and 99.60% (2 508/2 518), respectively. The sensitivities were 98.02% (2 430/2 479) and 99.88% (2476/2 479), and the specificities were 78.13% (25/32) and 100.00 % (32/32), respectively. The coincidence rates were 97.77% (2 455/2 511) and 99.88% (2 508/2 511), respectively. Conclusion Nucleic acid supplemental test strategy has high diagnostic rate, sensitivity, specificity and coincidence rate. WB indeterminate and negative samples can be diagnosed as early as possible through nucleic acid supplemental testing.

Chronic heart failure （CHF） and diabetes mellitus （DM） comorbidity presents a myriad of symptoms and a complex pathogenesis， making the traditional diagnostic and treatment model of "using disease to treat syndrome" often inadequate in clinical practice. The concept of "syndrome-based treatment of disease" is rooted in the core thinking of traditional Chinese medicine （TCM） syndrome differentiation and treatment， emphasizing the importance of syndrome as the guiding principle. This approach categorizes various diseases according to their corresponding syndrome categories for exploration， adhering to the principle of starting from the syndrome and addressing the disease thereafter， which highlights the advantages of TCM holistic view and syndrome differentiation and treatment. The pathogenesis of CHF is characterized by deficiency of both Qi and Yin， along with blood stasis， affecting organs such as the lung， spleen， and kidney， which in turn impacts the distribution and metabolism of body fluids. Dysfunction in body fluid regulation leads to stagnation， resulting in pathological products like phlegm and turbidity， which exacerbates syndromes of Yin deficiency and excessive heat. As the conditions of Yin deficiency and dryness-heat intensify， and as body fluid depletion continues， the patient's DM symptoms worsen， contributing to or aggravating the comorbidity. Following the diagnostic approach of "syndrome-based treatment of disease"， TCM diagnosis and treatment of CHF and DM comorbidity should focus on the core pathogenesis of "deficient Qi retention". This study categorized CHF and DM comorbidity into four stages： A （comorbid risk period）， B （precomorbid period）， C （intermediate stage of comorbidity）， and D （advanced comorbidity）， proposing corresponding TCM syndrome types for each stage. In terms of treatment， adhering to the principle of "tonifying deficiency and relieving stagnation"， the specific methods included invigorating Qi and strengthening the body， nourishing Yin and generating body fluids， activating blood circulation and Qi， and promoting diuresis and removing toxins. This study reviewed recent research progress on Chinese medicine compound prescriptions for CHF combined with DM， aiming to achieve precise treatment for both diseases and provide a scientific basis for the application of TCM in the prevention and treatment of CHF and DM comorbidity.