From the perspective of transfusion medicine and based on the vision and framework of patient blood management, this article combines the advances in basic science, blood transfusion, laboratory, and clinical medicine. It aims to systematically review the key elements and characteristics of patient fibrinogen management by maintaining and optimizing patients' hemostatic function while reducing blood transfusions. This review enriches the connotation of transfusion medicine, especially patient blood management, and provides valuable insights for clinical practice.

ObjectiveThe present study aimed to investigate alterations in white matter microstructure and spontaneous neural activity in male college smokers, and to further explore their associations with nicotine dependence. Given that adolescence and early adulthood represent critical periods for brain maturation, particularly for white matter development, understanding the neural correlates of smoking behavior during this stage is of substantial importance for both neuroscience and public health. MethodsA total of 115 male undergraduate students were initially recruited for this study. After quality control and exclusion procedures, 52 male college smokers and 42 demographically matched healthy non-smokers were included in the final analysis. All participants underwent multimodal magnetic resonance imaging (MRI), including diffusion tensor imaging (DTI) and resting-state functional MRI (rs-fMRI). White matter fiber tracts were reconstructed using the automated fiber quantification (AFQ) method, which enables precise identification and quantification of major fiber bundles. Eighteen major white matter tracts were segmented for each participant. Along the core trajectory of each tract, 100 equidistant nodes were sampled. Fractional anisotropy (FA) was calculated at each node to assess white matter microstructural integrity, while amplitude of low-frequency fluctuation (ALFF) was computed to evaluate spontaneous neural activity within white matter tracts. Between-group differences in FA and ALFF were assessed using two-sample t-tests, with appropriate corrections applied for multiple comparisons. Furthermore, Pearson correlation analyses were conducted to examine the relationships between imaging-derived metrics (FA and ALFF values in regions showing significant group differences) and nicotine dependence severity, as measured by the Fagerström test for nicotine dependence (FTND). ResultsCompared with healthy non-smokers, male college smokers exhibited significantly increased FA values in several white matter tracts, including the left thalamic radiation, right corticospinal tract, forceps major of the corpus callosum, left uncinate fasciculus, and right arcuate fasciculus. These findings suggest altered microstructural organization or increased directional coherence within these pathways. In addition, smokers demonstrated significantly elevated ALFF values in the forceps major, right uncinate fasciculus, and left arcuate fasciculus, indicating enhanced spontaneous neural activity in these white matter regions. Correlation analyses revealed that FA values in the left thalamic radiation and right corticospinal tract were negatively correlated with FTND scores, suggesting that higher levels of nicotine dependence were associated with reduced microstructural integrity or altered fiber organization in these regions. In contrast, ALFF values in the forceps major and right uncinate fasciculus were positively correlated with FTND scores, indicating that greater nicotine dependence was associated with increased spontaneous neural activity in specific white matter pathways. ConclusionThe present study provides evidence that male college smokers exhibit distinct alterations in both white matter microstructure and functional activity. These abnormalities are not uniformly distributed but rather localized to specific fiber tracts implicated in sensorimotor processing, interhemispheric communication, and higher-order cognitive and emotional regulation. Importantly, the observed associations between imaging metrics and nicotine dependence severity suggest that these structural and functional alterations may reflect neurobiological mechanisms underlying addiction. The combination of AFQ-based tract profiling and multimodal MRI offers a sensitive approach for detecting subtle changes along white matter pathways, highlighting its potential utility in identifying neuroimaging biomarkers of nicotine dependence. Overall, these findings indicate that smoking during early adulthood may disrupt ongoing white matter maturation, potentially leading to long-term consequences for brain function. This study provides novel insights into the neural basis of nicotine dependence and underscores the importance of early intervention and prevention strategies targeting young smokers.

Background and aims The mechanism of cholestatic liver injury (CLI) is unclear, and effective therapies are lacking. While peroxisome proliferator-activated receptor alpha (PPARα) agonists show potential hepatoprotective effect and pyroptosis is implicated in hepatocellular damage, how PPARα activation mitigates lithocholic acid (LCA)-induced pyroptosis remains unknown. Methods The hepatoprotective effect of PPARα agonists was evaluated in a mouse model of intrahepatic cholestasis induced by LCA. Liver injury was assessed via serum biochemistry, hematoxylin and eosin and TUNEL staining, and electron microscopy. Pyroptosis pathways were analyzed using real-time quantitative polymerase chain reaction, Western blot, and co-immunoprecipitation. Results Combined morphological, histopathological, and biochemical analyses confirmed that PPARα activation protects against CLI. Compared with LCA treatment alone, PPARα activation significantly attenuated the elevation of serum lactate dehydrogenase (LDH), the increased TUNEL-positive cells, and the formation of hepatocyte membrane pores. Mechanistically, PPARα activation suppressed both NOD-like receptor protein 3 (NLRP3) inflammasome-mediated pyroptosis and apoptosis protease-activating factor-1 (APAF-1)/CASPASE-3/GSDME-mediated pyroptosis. Furthermore, PPARα agonist pretreatment inhibited activation of the nuclear factor-kappa B (NF-κB) and forkhead box O1 (FOXO1) signaling pathways. Conclusions PPARα protects against LCA-induced CLI by inhibiting both NLRP3 inflammasome-mediated pyroptosis associated with NF-κB and APAF-1/CASPASE-3/GSDME-mediated pyroptosis associated with the FOXO1 signaling pathway.

BACKGROUND:Acupoint embedding and floating needle therapy are two methods for the treatment of knee osteoarthritis,but there are few reports on the combined treatment of the two methods. OBJECTIVE:To investigate the therapeutic effect of acupoint embedding combined with floating needle therapy on different stages of knee osteoarthritis using generalized estimating equations. METHODS:A total of 436 patients with knee osteoarthritis admitted to Dongguan Hospital of Traditional Chinese Medicine from February 2019 to February 2023 were selected as the research subjects.All patients were randomly divided into a control group with floating needle therapy(n=218)and an observation group with acupoint embedding method combined with floating needle therapy(n=218).Staging was performed according to the K-L staging method.In the control group,there were 57 cases in stage Ⅰ,62 in stage Ⅱ,49 in phase Ⅲ,and 50 in stage Ⅳ,while in the observation group,there were 48 cases in stage Ⅰ,66 in stage Ⅱ,63 in phase Ⅲ,and 41 in stage Ⅳ.The levels of indexes and clinical efficacy were compared between groups before and after treatment.Generalized estimating equation model was used to analyze the influencing factors of clinical efficacy and the interaction effect of different time points,different methods and different stages on therapeutic efficacy. RESULTS AND CONCLUSION:There was no significant difference in baseline data between the observation group and the control group,as well as between the patients of different stages(P>0.05).After treatment,the cure rate of stage Ⅰ patients was the highest after treatment,and the total improvement rate in the observation group was significantly higher than that in the control group.There were significant differences in the cure rate among different stages in each group(P<0.05).After treatment,all indicators in the two groups were significantly decreased.In the control group,there were significant differences in various indicators of patients at different stages after 4 weeks of treatment(P<0.05).In the observation group,after 2 weeks of treatment,there were significant differences in various indicators of patients at different stages(P<0.05),and all the indexes in the observation were lower than those in the control group after 4 weeks of treatment(P<0.05)and the therapeutic effect in the observation group was better than that in the control group.Generalized estimating equation model analysis showed that trauma history,interleukin-6 level,treatment method,treatment time and K-L stage all significantly affected the clinical efficacy in patients.In the interaction effect analysis,after 2 weeks of treatment,there was a significant difference in the visual analogue scale score between the two groups in stages Ⅲ and Ⅳ(P<0.05).After 4 weeks of treatment,there was a significant difference in the visual analogue scale score between the two groups in stages Ⅱ,Ⅲ,and Ⅳ(P<0.05).To conclude,acupoint embedding combined with floating needle therapy is superior to floating needle therapy alone in the treatment of different stages of knee osteoarthritis.Trauma history,interleukin-6 level,treatment method,treatment time and K-L stage significantly influence the therapeutic effect.

ObjectiveTobacco-related diseases remain one of the leading preventable public health challenges worldwide and are among the primary causes of premature death. In recent years, accumulating evidence has supported the classification of nicotine addiction as a chronic brain disease, profoundly affecting both brain structure and function. Despite the urgency, effective diagnostic methods for smoking addiction remain lacking, posing significant challenges for early intervention and treatment. To address this issue and gain deeper insights into the neural mechanisms underlying nicotine dependence, this study proposes a novel graph neural network framework, termed TI-GNN. This model leverages functional magnetic resonance imaging (fMRI) data to identify complex and subtle abnormalities in brain connectivity patterns associated with smoking addiction. MethodsThe study utilizes fMRI data to construct functional connectivity matrices that represent interaction patterns among brain regions. These matrices are interpreted as graphs, where brain regions are nodes and the strength of functional connectivity between them serves as edges. The proposed TI-GNN model integrates a Transformer module to effectively capture global interactions across the entire brain network, enabling a comprehensive understanding of high-level connectivity patterns. Additionally, a spatial attention mechanism is employed to selectively focus on informative inter-regional connections while filtering out irrelevant or noisy features. This design enhances the model’s ability to learn meaningful neural representations crucial for classification tasks. A key innovation of TI-GNN lies in its built-in causal interpretation module, which aims to infer directional and potentially causal relationships among brain regions. This not only improves predictive performance but also enhances model interpretability—an essential attribute for clinical applications. The identification of causal links provides valuable insights into the neuropathological basis of addiction and contributes to the development of biologically plausible and trustworthy diagnostic tools. ResultsExperimental results demonstrate that the TI-GNN model achieves superior classification performance on the smoking addiction dataset, outperforming several state-of-the-art baseline models. Specifically, TI-GNN attains an accuracy of 0.91, an F1-score of 0.91, and a Matthews correlation coefficient (MCC) of 0.83, indicating strong robustness and reliability. Beyond performance metrics, TI-GNN identifies critical abnormal connectivity patterns in several brain regions implicated in addiction. Notably, it highlights dysregulations in the amygdala and the anterior cingulate cortex, consistent with prior clinical and neuroimaging findings. These regions are well known for their roles in emotional regulation, reward processing, and impulse control—functions that are frequently disrupted in nicotine dependence. ConclusionThe TI-GNN framework offers a powerful and interpretable tool for the objective diagnosis of smoking addiction. By integrating advanced graph learning techniques with causal inference capabilities, the model not only achieves high diagnostic accuracy but also elucidates the neurobiological underpinnings of addiction. The identification of specific abnormal brain networks and their causal interactions deepens our understanding of addiction pathophysiology and lays the groundwork for developing targeted intervention strategies and personalized treatment approaches in the future.

Objective To investigate the epidemiological characteristics and control measures of dengue fever in Zhongshan City in 2024, so as to provide insights into optimization of dengue fever control strategies in the city. Methods Data pertaining to dengue fever cases in Zhongshan City in 2024 were collected from the Infectious Disease Reporting System of China Disease Prevention and Control Information System, and the epidemiological characteristics of the cases were analyzed using a descriptive statistical method. The density of Aedes albopictus mosquito was monitored across all 23 townships (subdistricts) using Breteau index (BI) and mosquito ovitrap index (MOI) at midmonth each month from March to December 2024. In addition, the climatic characteristics, case reporting patterns, and corresponding control measures were analyzed during different phases of dengue fever epidemics in Zhongshan in 2024. Furthermore, real-time quantitative reverse transcription PCR (RT-qPCR) assay was employed to serotype the dengue virus among local dengue fever cases with unknown sources of infections. The dengue virus envelope (E) gene was sequenced using Sanger sequencing among dengue fever cases without apparent epidemiological links. A phylogenetic tree was constructed using the neighbor-joining method to infer major transmission chains during the dengue fever epi demics. Results A total of 952 dengue fever cases were reported in Zhongshan City in 2024, including 879 local cases, 57 domestically imported cases from other regions, and 16 overseas imported cases, representing the largest outbreak in nearly two decades. The first local dengue fever case was reported on July 5, and the last one was detected on December 19, with all townships and subdistricts affected. Mosquito monitoring data indicated that both MOI and BI rose rapidly from March to May, and then remained at high levels with fluctuations, and began to decline in October. The dengue fever epidemic was categorized into five distinct phases in Zhongshan, including non-epidemic, pre-epidemic, early-epidemic, peak, and receding stages. During the pre-epidemic and early-epidemic phases, key measures included enhancing sensitivity of case detection, implementing isolation and treatment of hospitalized cases, and carrying out standardized vector control measures in affected communities. In the peak phase, the strategy shifted towards targeted mosquito control in key communities and clinical rescue and treatment emphasized on “preventing severe cases and deaths”. Among 481 local cases with unknown sources of infections, RT-qPCR assay revealed that 68.8% (331/481) were infected with dengue virus type I and 31.2% (150/481) with type II among local dengue fever cases in Zhongshan City in 2024. Phylogenetic analysis revealed two major transmission chains: one originating from imported cases within Guangdong Province around Zhongshan City, and another from cases imported from Malaysia. Late detection of local dengue fever cases contributed to widespread community outbreaks. Conclusions The 2024 dengue fever epidemic in Zhongshan City was of considerable scale, which was primarily driven by imported cases from overseas and surrounding regions, leading to local community outbreaks. The epidemic began in early July, increased rapidly during August and September, peaked in October, and subsequently declined, with a trend consistent with the average pattern observed in previous high-incidence years. By implementing differentiated control measures tailored to each phase of the epidemic, the local transmission of dengue fever was successfully contained in Zhongshan City in 2024.

OBJECTIVE: Objective To investigate the relationship between cervical disc herniation and C₀-C₂ Cobb angle. METHODS: The clinical data of 301 patients with cervical disc herniation from 2020 to 2024 were retrospectively analyzed. The median value of C₀-C₂ Cobb angle measurements from 301 patients was used as the boundary, cervical disc herniation patients were divided into two groups, C₀-C₂ Cobb angle <28.50 group and 151 patients with C₀-C₂ Cobb angle≥28.50 group. Among them, 150 patients in C₀-C₂ Cobb angle <28.50 group included 53 males and 97 females, aged 23 to 76 (57.32±12.55) years, with a disease duration of 7 to 19 (13.81±5.32) months;the othor 151 patients with C₀-C₂ Cobb angle≥28.50 group including 61 males and 90 females, aged 25 to 74 (56.86±12.51) years, with a disease duration of 8 to 18 (14.13±5.56) months. The cervical lordosis angle (C₀-C₂ Cobb angle and C₂-C₇ Cobb angle), T₁ inclination slope (T₁S) and cervical sagittal axial distance (C₂-C₇ SVA) were measured on the lateral cervical radiographs. The correlation between C₀-C₂ Cobb angle and cervical disc herniation range, protrusion position, average protrusion size and other parameters was analyzed. RESULTS: When the C₀-C₂ Cobb angle<28.50°, the average protrusion size was (2.21±0.56) mm, the C₂-C₇ Cobb angle was (19.92±12.06)° and the C₂-C₇ SVA was (1.10±1.20) mm. When the C₀-C₂ Cobb angle≥28.50°, the average protrusion size was (2.38±0.60) mm, the C₂-C₇ Cobb angle was (12.01±13.09 )°, the C₂-C₇ SVA was (1.53±1.36) mm, and the difference was statistically significant (P<0.05). Between the two groups of patients with C₀-C₂ Cobb angle < 28.50° and C₀-C₂ Cobb angle≥28.50°, there were significant differences in the size of C_3,4, C_4,5, C_5,6, C_6,7, C₇, T₁ disc herniation in single segment (P<0.05 ). C₀-C₂ Cobb angle was correlated with age(r=-0.135, P<0.05 ), C₂-C₇ Cobb angle (r=-0.382, P<0.01 ), C₂-C₇ SVA (r=0.293, P<0.01), average protrusion size (r=0.139, P<0.05), and the size of C_3,4 (r=0.215, P<0.01 ), C_4,5 (r=0.176, P<0.01 ), C_5,6 (r=0.144, P<0.05 ), C_6,7 (r=0.158, P<0.05 ), C₇T₁ (r=0.535, P<0.05) disc herniation. CONCLUSION There is a positive correlation between C₀-C₂ Cobb angle and the size of cervical disc herniation. C₀-C₂ Cobb angle can reflect the degree of cervical disc herniation. Previous studies have shown that the biomechanical changes between C₀-C₂ Cobb angle, C₂-C₇ Cobb angle, C₂-C₇ SVA and cervical extensor muscle group may be risk factors for accelerating cervical disc herniation and this may be one of the mechanisms that C₀-C₂ Cobb angle is positively correlated with the size of cervical disc herniation.
Humans ; Male ; Female ; Middle Aged ; Intervertebral Disc Displacement/physiopathology* ; Adult ; Cervical Vertebrae/diagnostic imaging* ; Aged ; Retrospective Studies ; Young Adult

Bombesin receptor subtype-3 (BRS3) is an orphan G protein-coupled receptor (GPCR) that plays critical roles in energy homeostasis, glucose metabolism, and insulin secretion. Recent structural studies have elucidated BRS3 signaling mechanisms using synthetic ligands, including BA1 and MK-5046. However, the molecular basis of BRS3 activation by bioactive natural compounds and their derivatives, particularly those derived from traditional Chinese medicine, remains unclear. Here, we present high-resolution cryogenic electron microscopy (cryo-EM) structures of the human BRS3-G_q complex in both unliganded and active states bound by two herb-derived compounds (DSO-5a and oridonin), at resolutions of 2.9, 2.8, and 2.9 Å, respectively. These structures display distinct ligand recognition patterns between DSO-5a and oridonin. Although both compounds bind to the orthosteric pocket, they differentially engage the interaction network of BRS3, as demonstrated by mutagenesis studies assessing calcium mobilization and inositol phosphate 1 (IP1) accumulation. These findings enhance our understanding of BRS3 activation and provide valuable insights into the development of small-molecule BRS3 modulators with therapeutic potential.

Objective To explore the effect of the horticultural therapy in the elderly with mild cognitive impairment in elderly care institutions.Methods A convenient cluster sampling method was used.The study was conducted among the elderly with mild cognitive impairment in 2 nursing homes with 5A-level in Guangzhou,from March to September 2024.Using a lottery method,subjects from 2 nursing areas across 2 elderly care institutions were allocated to an experimental group,with the other 2 nursing areas serving as a control group,each group comprising 55 cases.The experimental group participated in horticultural therapy on the basis of control group interventions,while the control group was given routine care and daily leisure activities.The cognitive function,basic psychological needs and quality of life were compared between the 2 groups after the intervention.Results Eventually,37 cases in the experimental group and 38 cases in the control group completed the study.After the intervention,the cognitive function,basic psychological needs and quality of life in the experimental group were all better than those in the control group,and the differences were statistically significant(P＜0.05).Conclusion The horticultural therapy program can delay the progression of cognitive decline in the elderly with mild cognitive impairment in nursing homes,meet their basic psychological needs and improve their quality of life.

Objective:Malnutrition is prevalent among patients with chronic obstructive pulmonary disease(COPD)and closely associ-ated with adverse outcomes.This study aimed to evaluate the effectiveness of three nutritional indices in predicting all-cause mortality among COPD patients.Methods:Based on the National Health and Nutrition Examination Survey(NHANES),this study included 1640 patients with COPD surveyed from 1999 to 2018.The optimal cutoff values for controlling nutritional status(CONUT)score,geri-atric nutritional risk index(GNRI),and prognostic nutritional index(PNI)were determined using receiver operating characteristic curves.The predictive value of these nutritional indices was assessed using the area under the receiver operating characteristic curve and C-index.Their predictive abilities were compared using the net reclassification improvement and integrated discrimination improvement.A Cox regression analysis was conducted to explore the association of the three nutritional indices with all-cause mortality.Results:Log-rank tests revealed lower overall survival rates in patients with higher nutritional risks(P<0.001).In multivariate Cox regression adjusting for all covariates,CONUT score(hazard ratio[HR]=1.31,95%CI=1.03-1.67,P=0.030),GNRI(HR=2.02,95%CI=1.26-3.24,P=0.004),and PNI(HR=2.05,95%CI=1.53-2.75,P<0.001)were independently associated with all-cause mortality.Conclusion:This study confirms that the three nutritional indices are effective predictors of all-cause mortality in COPD patients.Compared with PNI,CONUT score and GNRI demonstrate im-proved predictive abilities,and they are recommended for routine screening for high-risk malnutrition in COPD patients.