Objective: To develop a dual-branch deep learning framework for accurate multi-label classification of fundus diseases, addressing the key limitations of insufficient complementary feature extraction and inadequate cross-modal feature fusion in existing automated diagnostic methods. Methods: The fundus multi-label classification dataset with 12 disease categories (FMLC-12) dataset was constructed by integrating complementary samples from Ocular Disease Intelligent Recognition (ODIR) and Retinal Fundus Multi-Disease Image Dataset (RFMiD), yielding 6 936 fundus images across 12 retinal pathology categories, and the framework was validated on both FMLC-12 and ODIR. Inspired by the holistic multi-regional assessment principle of the Five Wheels theory in traditional Chinese medicine (TCM) ophthalmology, the dual-branch multi-label network (DBMNet) was developed as a novel framework integrating complementary visual feature extraction with pathological correlation modeling. The architecture employed a TransNeXt backbone within a dual-branch design: one branch processed red-green-blue (RGB) images to capture color-dependent features, such as vascular patterns and lesion morphology, while the other processed grayscale-converted images to enhance subtle textural details and contrast variations. A feature interaction module (FIM) effectively integrated the multi-scale features from both branches. Comprehensive ablation studies were conducted to evaluate the contributions of the dual-branch architecture and the FIM. The performance of DBMNet was compared against four state-of-the-art methods, including EfficientNet Ensemble, transfer learning-based convolutional neural network (CNN), BFENet, and EyeDeep-Net, using mean average precision (mAP), F1-score, and Cohen's kappa coefficient. Results: The dual-branch architecture improved mAP by 15.44 percentage points over the single-branch TransNeXt baseline, increasing from 34.41% to 44.24%, and the addition of FIM further boosted mAP to 49.85%. On FMLC-12, DBMNet achieved an mAP of 49.85%, a Cohen’s kappa coefficient of 62.14%, and an F1-score of 70.21%. Compared with BFENet (mAP: 45.42%, kappa: 46.64%, F1-score: 71.34%), DBMNet outperformed it by 4.43 percentage points in mAP and 15.50 percentage points in kappa, while BFENet achieved a marginally higher F1-score. On ODIR, DBMNet achieved an F1-score of 85.50%, comparable to state-of-the-art methods. Conclusion DBMNet effectively integrates RGB and grayscale visual modalities through a dual-branch architecture, significantly improving multi-label fundus disease classification. The framework not only addresses the issue of insufficient feature fusion in existing methods but also demonstrates outstanding performance in balancing detection across both common and rare diseases, providing a promising and clinically applicable pathway for standardized, intelligent fundus disease classification.

Objective: To improve the efficiency and standardization of preoperative anemia diagnosis and treatment by establishing a systematic intelligent management platform for preoperative anemia. Methods: A multidisciplinary collaborative model was adopted to develop a preoperative anemia management system that integrates intelligent early warning, standardized treatment pathways, and quality control. The system utilizes natural language processing technology to automatically capture laboratory data and establish evidence-based medical decision support functions. A pre-post study design was employed to compare changes in preoperative anemia screening rates, preoperative anemia intervention rates, reasonable use of iron supplements, and perioperative red blood cell transfusion rates before and after system implementation. Results: After system implementation, the standardization of anemia diagnosis and treatment significantly improved: 1) Screening effectiveness: The anemia screening rate increased to 50.00% (an increase of 27.24%); 2) Intervention effectiveness: The anemia treatment rate rose to 56.30% (an increase of 14.02%); 3) Treatment standardization: The reasonable use rate of iron supplements increased to 55.33% (an increase of 21.02%); the red blood cell transfusion rate decreased to 18.29% (a decrease of 4.07%), and the amount of red blood cell transfusions was reduced by 291 units. Conclusion: This system achieves full-process management of preoperative anemia through information technology, significantly enhancing the standardization of diagnosis and treatment as well as intervention effectiveness, providing an effective solution for perioperative anemia management.

Objective To evaluate value of combined detection of cerebrospinal fluid synaptosom-al-associated protein 25(SNAP-25)and long non-coding RNA nuclear-enriched transcript 1(NEAT1)in assessing cognitive impairment severity and disease progression in patients with Alzhei-mer's disease.Methods A total of 650 patients with Alzheimer's disease were selected as research subjects and divided into normal group(n=162),mild cognitive impairment group(n=380)and dementia group(n=108)according to their cognitive function.The correlations of the levels of SNAP-25 and NEAT1 in cerebrospinal fluid with the scores of Mini-Mental State Examination(MMSE)and Clinical Dementia Rating Scale(CDR)were analyzed.According to whether the patients in the mild cognitive impairment group progressed to dementia(followed up for 6 months),they were divided into disease progression group(progressed to dementia)and stable disease group(did not progress to dementia).The levels of SNAP-25 and NEAT1 in cerebrospinal fluid of patients in each group were compared.The receiver operating characteristic(ROC)curve was used to analyze the diagnostic value of cerebrospinal fluid SNAP-25 combined with NEAT1 for dementia and its predictive efficacy for the progression of mild cognitive impairment to dementia.Results The levels of SNAP-25 and NEAT1 mRNA in cerebrospinal fluid in the mild cognitive impairment group and the dementia group were significantly higher than those in the normal group;the levels of cerebrospinal fluid SNAP-25 and NEAT1 mRNA in the dementia group were significantly higher than those in the mild cognitive impairment group(P＜0.05).The levels of cerebrospinal fluid SNAP-25 and NEAT1 mRNA in pa-tients of the mild cognitive impairment group and the dementia group were negatively correlated with the MMSE score(P＜0.05),and positively correlated with the CDR score(P＜0.05).In the mild cognitive impairment group,133 patients' conditions progressed from mild cognitive impairment to dementia.The levels of cerebrospinal fluid SNAP-25 and NEAT1 mRNA in the disease progres-sion group were significantly higher than those in the stable disease group(P＜0.05).ROC curve analysis showed that the sensitivity of cerebrospinal fluid SNAP-25 combined with NEAT1 in diagno-sing dementia was 89.63％,the specificity was 54.08％,and the area under the curve(AUC)was 0.884.The sensitivity of cerebrospinal fluid SNAP-25 combined with NEAT1 in predicting the pro-gression of mild cognitive impairment to dementia was 83.41％,the specificity was 56.70％,and the AUC was 0.867.Conclusion The levels of SNAP-25 and NEAT1 in cerebrospinal fluid in-crease significantly with the aggravation of cognitive impairment in patients with Alzheimer's dis-ease.The combined detection of SNAP-25 and NEAT1 has relatively high diagnostic efficacy for de-mentia and predictive value for the progression from mild cognitive impairment to dementia.

Objective To exple the mechanism of Qixiong Zuogui Granules(QXZG)for enhancing synaptic plasticity in aging rats.Method Forty SD rats were randomized into control group,aging model group,donepezil treatment group,and QXZG treatment group(n=10).Except for the control rats,all the rats were subjected to daily intraperitoneal injection of D-galactose for 8 consecutive weeks to induce brain aging,and donepezil hydrochloride and QXZG suspension were administered by gavage during modeling.After the interventions,the rats were evaluated for general conditions,behavioral changes,oxidative stress indicators,hippocampal pathologies,and expressions of the brain-derived neurotrophic factor(BDNF)/tyrosine kinase receptor B(TrkB)pathway,p16,and synaptic plasticity-associated proteins.Results The rats in the model group exhibited obvious aging phenotypes such as yellowing of the teeth and hair,body weight loss,and impaired learning and memory abilities,with decreased serum SOD and GSH-Px activities and increased serum MDA level.The rat models also showed obvious pathological changes,reduced Nissl bodies,and elevated p16 protein expression in the hippocampal CA1 region,with significantly decreased expression levels of BDNF,TrkB,CREB and synaptic plasticity proteins SYN,GAP43,and PSD95.Treatment with QXZG alleviated the aging phenotypes in the rat models,improved their learning and memory abilities and pathological changes in the hippocampal CA1 region,reduced oxidative stress and p16 protein expression,and promoted the expressions of the BDNF/TrkB pathway proteins and synaptic plasticity proteins.Conclusion QXZG enhances synaptic plasticity and reduces oxidative stress in aging rats possibly by upregulating the BDNF/TrkB signaling pathway proteins,thereby delaying brain aging and improving learning and memory abilities of the rats.

OBJECTIVES: To exple the mechanism of Qixiong Zuogui Granules (QXZG) for enhancing synaptic plasticity in aging rats. METHODS: Forty SD rats were randomized into control group, aging model group, donepezil treatment group, and QXZG treatment group (n=10). Except for the control rats, all the rats were subjected to daily intraperitoneal injection of D-galactose for 8 consecutive weeks to induce brain aging, and donepezil hydrochloride and QXZG suspension were administered by gavage during modeling. After the interventions, the rats were evaluated for general conditions, behavioral changes, oxidative stress indicators, hippocampal pathologies, and expressions of the brain-derived neurotrophic factor (BDNF)/tyrosine kinase receptor B (TrkB) pathway, p16, and synaptic plasticity-associated proteins. RESULTS: The rats in the model group exhibited obvious aging phenotypes such as yellowing of the teeth and hair, body weight loss, and impaired learning and memory abilities, with decreased serum SOD and GSH-Px activities and increased serum MDA level. The rat models also showed obvious pathological changes, reduced Nissl bodies, and elevated p16 protein expression in the hippocampal CA1 region, with significantly decreased expression levels of BDNF, TrkB, CREB and synaptic plasticity proteins SYN, GAP43, and PSD95. Treatment with QXZG alleviated the aging phenotypes in the rat models, improved their learning and memory abilities and pathological changes in the hippocampal CA1 region, reduced oxidative stress and p16 protein expression, and promoted the expressions of the BDNF/TrkB pathway proteins and synaptic plasticity proteins. CONCLUSIONS QXZG enhances synaptic plasticity and reduces oxidative stress in aging rats possibly by upregulating the BDNF/TrkB signaling pathway proteins, thereby delaying brain aging and improving learning and memory abilities of the rats.
Animals ; Brain-Derived Neurotrophic Factor/metabolism* ; Neuronal Plasticity/drug effects* ; Signal Transduction/drug effects* ; Rats, Sprague-Dawley ; Receptor, trkB/metabolism* ; Rats ; Aging ; Drugs, Chinese Herbal/pharmacology* ; Male ; Oxidative Stress ; Hippocampus/metabolism*

Periodontal bone defects, primarily caused by periodontitis, are highly prevalent in clinical settings and manifest as bone fenestration, dehiscence, or attachment loss, presenting a significant challenge to oral health. In regenerative medicine, harnessing developmental principles for tissue repair offers promising therapeutic potential. Of particular interest is the condensation of progenitor cells, an essential event in organogenesis that has inspired clinically effective cell aggregation approaches in dental regeneration. However, the precise cellular coordination mechanisms during condensation and regeneration remain elusive. Here, taking the tooth as a model organ, we employed single-cell RNA sequencing to dissect the cellular composition and heterogeneity of human dental follicle and dental papilla, revealing a distinct Platelet-derived growth factor receptor alpha (PDGFRA) mesenchymal stem/stromal cell (MSC) population with remarkable odontogenic potential. Interestingly, a reciprocal paracrine interaction between PDGFRA⁺ dental follicle stem cells (DFSCs) and CD31⁺ Endomucin⁺ endothelial cells (ECs) was mediated by Vascular endothelial growth factor A (VEGFA) and Platelet-derived growth factor subunit BB (PDGFBB). This crosstalk not only maintains the functionality of PDGFRA⁺ DFSCs but also drives specialized angiogenesis. In vivo periodontal bone regeneration experiments further reveal that communication between PDGFRA⁺ DFSC aggregates and recipient ECs is essential for effective angiogenic-osteogenic coupling and rapid tissue repair. Collectively, our results unravel the importance of MSC-EC crosstalk mediated by the VEGFA and PDGFBB-PDGFRA reciprocal signaling in orchestrating angiogenesis and osteogenesis. These findings not only establish a framework for deciphering and promoting periodontal bone regeneration in potential clinical applications but also offer insights for future therapeutic strategies in dental or broader regenerative medicine.
Receptor, Platelet-Derived Growth Factor alpha/metabolism* ; Humans ; Neovascularization, Physiologic/physiology* ; Dental Sac/cytology* ; Single-Cell Analysis ; Transcriptome ; Mesenchymal Stem Cells/metabolism* ; Bone Regeneration ; Animals ; Dental Papilla/cytology* ; Periodontium/physiology* ; Stem Cells/metabolism* ; Regeneration ; Angiogenesis

OBJECTIVE: To compare the efficacy and safety of intravenous colistin sulfate combined with nebulized inhalation versus intravenous monotherapy for pulmonary infections caused by carbapenem-resistant organism (CRO). METHODS: A multicenter retrospective cohort study was conducted. Clinical data were collected from patients admitted to the intensive care unit (ICU) of 10 tertiary class-A hospitals in Henan Province between July 2021 and May 2023, who received colistin sulfate for CRO pulmonary infections. Data included baseline characteristics, inflammatory markers [white blood cell count (WBC), neutrophil count (NEU), procalcitonin (PCT), C-reactive protein (CRP)], renal function indicators [serum creatinine (SCr), blood urea nitrogen (BUN)], life support measures, anti-infection regimens, clinical efficacy, microbiological clearance rate, and prognostic outcomes. Patients were divided into two groups: intravenous group (colistin sulfate monotherapy via intravenous infusion) and combination group ((intravenous infusion combined with nebulized inhalation of colistin sulfate). Changes in parameters before and after treatment were analyzed. RESULTS: A total of 137 patients with CRO pulmonary infections were enrolled, including 89 in the intravenous group and 48 in the combination group. Baseline characteristics, life support measures, daily colistin dose, and combination regimens (most commonly colistin sulfate plus carbapenems in both groups) showed no significant differences between two groups. The combination group exhibited higher clinical efficacy [77.1% (37/48) vs. 59.6% (52/89)] and microbiological clearance rate [60.4% (29/48) vs. 39.3% (35/89)], both P < 0.05. Pre-treatment inflammatory and renal parameters showed no significant differences between two groups. Post-treatment, the combination group showed significantly lower WBC and CRP [WBC (×10⁹/L): 8.2±0.5 vs. 10.9±0.6, CRP (mg/L): 14.0 (5.7, 26.6) vs. 52.1 (24.4, 109.6), both P < 0.05], whereas NEU, PCT, SCr, and BUN levels showed no significant between two groups. ICU length of stay was shorter in the combination group [days: 16 (10, 25) vs. 21 (14, 29), P < 0.05], although mechanical ventilation duration and total hospitalization showed no significant differences between two groups. CONCLUSIONS Intravenous colistin sulfate combined with nebulized inhalation improved clinical efficacy and microbiological clearance in CRO pulmonary infections with an acceptable safety profile.
Humans ; Colistin/therapeutic use* ; Retrospective Studies ; Administration, Inhalation ; Anti-Bacterial Agents/therapeutic use* ; Carbapenems/pharmacology* ; Male ; Female ; Middle Aged ; Gram-Negative Bacteria/drug effects* ; Aged ; Treatment Outcome ; Respiratory Tract Infections/drug therapy*

OBJECTIVE To investigate the relationship between azimuth direction,angular intervals,and the accuracy of azimuthal sound source localization.METHODS Fifteen young subjects with normal hearing were tested using nine azimuth settings.The test results were presented as root mean square error and percentage confusion.RESULTS The confusion rate under high-frequency narrowband noise was significantly higher than that under broadband noise and three-syllable words.In the frontal direction,statistically significant differences were observed between the 20° and 10° intervals,as well as between the 20° and 15° intervals(P<0.05),but no significant difference was found between the 10° and 15° intervals(P>0.05).In the lateral and rear directions,statistically significant differences were found between the 30° and 15° intervals,as well as between the 30° and 20° intervals(P<0.05),but no significant difference was found between the 15° and 20° intervals(P>0.05).Statistically significant differences were observed between the frontal direction and both the lateral and rear directions(P<0.05),but no significant difference was found between the lateral and rear directions(P>0.05).CONCLUSION Using stimuli that contain broader bandwidth cues can more accurately reflect the subject's horizontal localization ability.For source azimuth identification tests using broadband noise and three-syllable words,it is recommended to use a 15° interval in the frontal direction,and a 20° interval in the lateral and rear directions.The frontal and lateral directions can be preferred for testing.

ObjectiveTo investigate the effects and potential mechanisms of morning and evening fasting on postprandial lipid responses, a post hoc analysis based on a crossover randomized controlled trial was conducted to assess the effects of different fasting strategies on postprandial lipid metabolism in community residents in Shanghai. MethodsA total of 23 participants took part in a randomized crossover trial involving two intervention days: morning fasting and evening fasting, with a washout period of 6 days between intervention days. Two-way analysis of variance was used to test the differences in total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and the relative expression of circadian clock genes before and after the next meal under fasting. Wilcoxon rank sum tests were used to analyze the different metabolites between the two groups. Principal component analysis and Orthogonal partial least squares-discriminant analysis were conducted to evaluate the ability of metabolites to differentiate between morning fasting and evening fasting and identify the important differential metabolites. After adjusting for age, sex, and BMI, a partial correlation analysis was performed to identify metabolites associated with plasma lipids. In addition, important metabolites associated with plasma lipids were computed by pathway enrichment analysis. ResultsAfter evening fasting intervention, fasting TG level [(0.37±0.29) vs (0.27±0.18)] mmol·L^-1, fasting and postprandial change values in TC [(2.74±0.47) vs (2.51±0.27)] mmol·L^-1 and LDL-C [(1.32±0.38) vs (0.99±0.27)] mmol·L^-1 were significantly lower than those after morning fasting (P<0.05). While, change values of fasting LDL-C [(0.89±0.37) vs (1.14±0.37)] mmol·L^-1 and TG [(1.14±0.19) vs (1.28±0.17)] mmol·L^-1 were significantly higher than those after morning fasting intervention (P<0.05). After fasting intervention, the relative expression of AMPK, CRY1, CLOCK, MTNR1B, AANAT, and ASMT was correlated with the amount of plasma lipid changes (P<0.05). Specifically, CLOCK and AANAT were upregulated following evening fasting and downregulated after morning fasting. Among the 217 important differential metabolites, 111 were correlated with plasma lipids, and which were primarily enriched in the cysteine and methionine metabolism pathways (P<0.05). ConclusionCompared to morning fasting, evening fasting was more effective in improving postprandial lipid responses, indicating that an evening fasting window during intermittent fasting could be conducive to cardiovascular disease prevention in adults. Meanwhile, it is suggested that morning and evening fasting may affect lipid responses through circadian rhythm oscillations and the cysteine and methionine metabolism pathways.