Objective: To quantify the spatiotemporal factors and built environment effects on daily blood collection volumes at fixed sites using multi-source spatiotemporal data, explore the influence radii of different point of interest(POI) categories, and develop a classification framework for sites, thereby providing data references for efficiency diagnosis and network optimization of blood collection sites. Methods: We collected daily blood donation records from 16 fixed whole blood collection sites in Guangzhou in 2023, constructing a balanced “site-day” panel dataset (16 sites × 365 days = 5 840 observations). Multi-source geospatial data, including Amap POI, OpenStreetMap (OSM) road network, and meteorological data were integrated to establish 300 m, 500 m, 800 m, and 1 000 m buffer zones around each site. Variables extracted included counts of surrounding commercial facilities, distance to the nearest subway station, rainfall, and temperature. A two-way fixed effects panel model was employed with a first-order lag term of the dependent variable to capture the inertial effect of blood donation behavior. Based on the significant regression coefficients, a "Structure-Function Index (SFI)" was constructed for each site to identify its optimal buffer radius. Combining inherent site capacity (fixed effects) with the optimal SFI, a two-dimensional quadrant diagram was created to classify the sites. Results: The optimized model showed an adjusted R of 0.89 and a Durbin-Watson statistic of 1.90, with the lag term coefficient stable at 0.36 (P<0.05). Temporal effects were significant: campaign days increased blood collection by 1 717.75 mL, holidays by 3 755.53 mL, and overlapping holidays with campaign days by 5 650.49 mL (P<0.05). Rainy days reduced collection by approximately 419 mL (P<0.05), and each 1℃ rise in daily average temperature decreased collection by approximately 31 mL (P<0.05). Distance to the nearest subway station was significantly positive (coefficient 0.95-1.39, P<0.05). POI effects showed scale-dependent differences: within 300 m, leisure and entertainment (+173.65 mL/unit) and shopping (+2.95 mL/unit) were significantly positive; within 500 m, tourist attractions (+72.55 mL/unit) and hotels (+40.09 mL/unit) were significantly positive; within 1 000 m, these effects diminished. Based on the two-dimensional classification of inherent collection capacity and optimal SFI, sites were categorized into four types: core, potential, adjustment, and resource-dependent. Conclusion: This study elucidates the multidimensional determinants of blood collection site efficiency, and provides quantitative evidence for performance diagnosis. It proposes a "concentric-zone planning" approach for site selection assessment alongside a" station-specific strategy" classification framework, offering data-driven references for network planning and resource allocation in blood collection and supply institutions. It should be noted that blood donation site selection also involves complex factors such as budgetary constraints, interdepartmental coordination, and venue conditions. This study provides a spatial econometric perspective for the quantitative optimization of blood collection networks.

Psoriasis is an incurable chronic inflammatory disease that requires new interventions. Here, we found that fibroblasts exacerbate psoriasis progression by promoting macrophage recruitment via CCL2 secretion by single-cell multi-omics analysis. The natural small molecule celastrol was screened to interfere with the secretion of CCL2 by fibroblasts and improve the psoriasis-like symptoms in both murine and cynomolgus monkey models. Mechanistically, celastrol directly bound to the low-density lipoprotein receptor-related protein 1 (LRP1) β-chain and abolished its binding to the transcription factor c-Jun in the nucleus, which in turn inhibited CCL2 production by skin fibroblasts, blocked fibroblast-macrophage crosstalk, and ameliorated psoriasis progression. Notably, fibroblast-specific LRP1 knockout mice exhibited a significant reduction in psoriasis like inflammation. Taken together, from clinical samples and combined with various mouse models, we revealed the pathogenesis of psoriasis from the perspective of fibroblast-macrophage crosstalk, and provided a foundation for LRP1 as a novel potential target for psoriasis treatment.

Pattern recognition receptors (PRRs) play a crucial role in immune responses, acting as primary sensors for microbial and host-derived signals. PRRs, which include Toll-like receptors (TLRs), retinoic acid-inducible gene 1-like receptors, nucleotide-binding oligomerization domain-like receptors, C-type lectin receptors, and various cytoplasmic DNA sensors, are essential for initiating immune responses that regulate both inflammation and tumor immunity. Recent studies have highlighted their dual roles in cancer, where they can either suppress or promote tumor progression by influencing the tumor microenvironment and modulating responses to immunotherapy. In the context of cancer, PRRs not only activate immune cells but also contribute to immune evasion mechanisms within tumors. Therapeutically, targeting PRRs represents a promising approach for cancer treatment, with related drugs showing potential to enhance the efficacy of existing immunotherapies. Numerous PRR-based agents, particularly TLR agonists, are currently under clinical investigation for their ability to augment antitumor immunity and overcome resistance to immune checkpoint inhibitors. This review examines the molecular mechanisms by which PRRs influence cancer, with a focus on recent advancements in PRR-targeted therapies and their integration with contemporary immunotherapeutic strategies.

OBJECTIVES: To evaluate the impact of HBV infection on pre- and postpartum health-related quality of life (HRQoL) in pregnant women. METHODS: A prospective matched cohort consisting of 70 HBV-infected and 70 healthy pregnant women was recruited from the Fifth Affiliated Hospital of Guangzhou Medical University between April 17 and September 25, 2023. HRQoL of the participants was assessed at 16-24 weeks of gestation, between 32 weeks and delivery, and 5-13 weeks postpartum. Mixed linear models were used for evaluating temporal trends of HRQoL changes, and univariate ANOVA with multiple linear regression was used to identify the predictors of HRQoL. RESULTS: Compared with healthy pregnant women, HBV-infected pregnant women had consistently lower total HRQoL scores across all the 3 intervals, with the lowest scores observed between 32 weeks of gestation and delivery, during which these women had significantly reduced mental component scores (74.27±13.43 vs 80.21±12.9, P=0.009) and postpartum mental (76.52±16.19 vs 85.02±6.51, P<0.001) and physical component scale scores (77.17±14.71 vs 83.09±10.1, P=0.009). HBV infection was identified as an independent risk factor affecting HRQoL during late pregnancy and postpartum periods. Additional independent risk factors for postpartum HRQoL reduction included self-pay medical expenses, spouse's neutral attitude toward the current pregnancy, and preexisting comorbidities (all P<0.05). CONCLUSIONS HRQoL of pregnant women deteriorates progressively in late pregnancy, and HBV infection exacerbates reductions of physical function and role emotion in late pregnancy and after delivery, suggesting the importance of targeted interventions for financial burdens, partner support and comorbid conditions to improve HRQoL of pregnant women with HBV infection.
Humans ; Female ; Pregnancy ; Quality of Life ; Prospective Studies ; Postpartum Period ; Hepatitis B, Chronic/psychology* ; Adult ; Pregnancy Trimester, Third ; Pregnancy Trimester, Second ; Pregnancy Complications, Infectious

Objective: To preliminarily develop a multidimensional blood donor role scale based on role theory and systematically compare the psychosocial characteristic differences between award-winning donors and first-time donors in Guangzhou, and to provide an empirical reference for formulating differentiated donor retention strategies. Methods: A cross-sectional survey design was adopted. A random sample of award-winning donors and concurrently sampled first-time donors yielding 1 361 valid responses collected (721 from the award group, 640 from the first-time group). Exploratory factor analysis was used to assess the scale structure. Data were post-stratified and weighted according to the gender and age distributions of the general donor population. Independent samples t-tests, multivariate analysis of covariance (MANCOVA), and generalized linear models were employed to compare dimensional scores between the two groups. A paired t-test was conducted to analyze the annual donation frequency of award-winning donors before and after receiving the award. Results: Exploratory factor analysis yielded a 5-factor structure, including Role Identity and Expectations, Role Adaptation and Maintenance, Role Environment and Experience, Role Relationships and Conflict, and Role Incentives and Rewards, with a cumulative variance contribution rate of 56.43%. The scale demonstrated good internal consistency reliability (Cronbach's α=0.906). Known-group validity test showed that award-winning donors scored significantly higher than first-time donors on Role Identity and Expectations (t=4.366, P<0.001, d=0.240), Role Adaptation and Maintenance (t=5.436, P<0.001, d=0.500), and Role Relationships and Conflict (t=4.844, P<0.001, d=0.220). These differences remained significant after controlling for selected demographic variables (MANCOVA, Wilks' λ=0.943, P<0.001). Generalized linear models suggested that donation frequency was an independent predictor for these dimensions. Additionally, the annual donation frequency of award-winning donors was slightly higher after receiving the award than before (t=2.007, P=0.045). Conclusion: The preliminary blood donor role scale demonstrates acceptable reliability and validity and can effectively distinguish groups with different donation behavior characteristics. The study reveals that award-winning donors exhibit more positive psychological characteristics across multiple role identity dimensions and maintain their donation behavior after receiving an award. External incentives and internal role identity may jointly contribute to behavioral persistence. The findings provide a preliminary reference for further exploring the formation pathways of donor role identity and developing differentiated donor retention strategies.

Background/Aims: The World Health Organization set the goal of eliminating hepatitis C virus (HCV) by 2030, with 80% and 65% reductions in HCV incidence and mortality rates, respectively. We aimed to evaluate the health benefits, cost-effectiveness and return on investment (ROI) of HCV elimination. Methods: Using an HCV transmission compartmental model, we evaluated the benefits and costs of different strategies combining screening and treatment for Chinese populations. We identified strategies to achieve HCV elimination and calculated the incremental cost-effectiveness ratios (ICERs) per disability-adjusted life year (DALY) averted for 2022–2030 to identify the optimal elimination strategy. Furthermore, we estimated the ROI by 2050 by comparing the required investment with the economic productivity gains from reduced HCV incidence and deaths. Results: The strategy that results in the most significant health benefits involves conducting annual primary screening at a rate of 14%, re-screening people who inject drugs annually and the general population every five years, and treating 95% of those diagnosed (P14-R4-T95), preventing approximately 5.75 and 0.44 million HCV infections and deaths, respectively, during 2022–2030. At a willingness-to-pay threshold of $12,615, the P14-R4-T95 strategy is the most cost-effective, with an ICER of $5,449/DALY. By 2050, this strategy would have a net benefit of $120,997 million (ROI=0.868). Conclusions Achieving HCV elimination in China by 2030 will require significant investment in large-scale universal screening and treatment, but it will yield substantial health and economic benefits and is cost-effective.

Background/Aims: The World Health Organization set the goal of eliminating hepatitis C virus (HCV) by 2030, with 80% and 65% reductions in HCV incidence and mortality rates, respectively. We aimed to evaluate the health benefits, cost-effectiveness and return on investment (ROI) of HCV elimination. Methods: Using an HCV transmission compartmental model, we evaluated the benefits and costs of different strategies combining screening and treatment for Chinese populations. We identified strategies to achieve HCV elimination and calculated the incremental cost-effectiveness ratios (ICERs) per disability-adjusted life year (DALY) averted for 2022–2030 to identify the optimal elimination strategy. Furthermore, we estimated the ROI by 2050 by comparing the required investment with the economic productivity gains from reduced HCV incidence and deaths. Results: The strategy that results in the most significant health benefits involves conducting annual primary screening at a rate of 14%, re-screening people who inject drugs annually and the general population every five years, and treating 95% of those diagnosed (P14-R4-T95), preventing approximately 5.75 and 0.44 million HCV infections and deaths, respectively, during 2022–2030. At a willingness-to-pay threshold of $12,615, the P14-R4-T95 strategy is the most cost-effective, with an ICER of $5,449/DALY. By 2050, this strategy would have a net benefit of $120,997 million (ROI=0.868). Conclusions Achieving HCV elimination in China by 2030 will require significant investment in large-scale universal screening and treatment, but it will yield substantial health and economic benefits and is cost-effective.

[Objective] To analyze the influencing factors of repeat blood donor lapsing using a zero-inflated poisson regression model (ZIP). [Methods] The blood donation behavior of 12 498 whole blood donors from 2020 was tracked until December 31, 2023. The factors influencing the frequency of blood donations in a given year was analyzed using ZIP, and donors with 0 blood donation in that year were considered to have lapsed. The changes in relevant influencing factors associated with each blood donation were measured and modeled for analysis. [Results] The zero-inflated part of ZIP showed that the risk of lapsing of male blood donors was 2.24 times that of female blood donors (OR 95% CI:1.864-2.696, P<0.001); the risk of lapsing of the 35-44 age group and over 45 age group was respectively 40% (OR 95% CI:0.455-0.790, P<0.001) and 61%(OR 95% CI:0.268-0.578, P<0.001) lower than that of the under 25 age group; the risk of lapsing for those who have donated blood twice and ≥3 times was respectively 50% (OR 95% CI:0.405-0.609, P<0.001) and 81% (OR 95% CI:0.154-0.225, P<0.001) lower than that of first-time donors; the risk of lapsing of those with junior high or high school education was 1.2 times that of those with a college degree or higher (OR 95% CI:1.033-1.384, P<0.05); the risk of lapsing for the divorced group was 2.02 times that of the married group (OR 95% CI:1.445-2.820, P<0.001); the risk of lapsing for those with an income (Yuan) of 10 000 to 50 000, 50 000 to 100 000 and more than 100 000 was respectively 0.67 (OR 95% CI:0.552-0.818, P<0.001), 0.72 (OR 95% CI:0.591-0.884, P=0.002) and 0.67 (OR 95% CI:0.535-0.834, P<0.001) times that of those with an income (Yuan) of less than 10 000. The results of the Poisson part are consistent with the results of the zero-inflated part in terms of age and education level. [Conclusion] Blood donor lapsing is overall related to factors such as gender, age, donation frequency, education, marital status and family income. It's essential to care for those blood donors prone to lapse to retain more regular blood donors.

ObjectiveTo investigate the mechanism of action of Huangqi Guizhi Wuwutang （HGWT） against cerebral ischemia-reperfusion injury （CIRI） based on bioinformatics and experimental validation. MethodsBiological informatics methods were used to screen for active components of HGWT and their targets. The GEO database was utilized to obtain CIRI-related differentially expressed genes （DEGs）， and platforms such as GeneCards were used to identify disease targets. Venn diagram analysis was conducted to identify overlapping targets， followed by protein-protein interaction （PPI）， gene ontology （GO）， and Kyoto Encyclopedia of Genes and Genomes （KEGG） enrichment analysis， as well as immune infiltration and immune cell differential analysis. Core genes （Hub genes） were screened using LASSO regression and ROC curves， and molecular docking was used to validate the binding efficiency between the active components of the drug and the core targets. A rat CIRI model was established， with rats randomly divided into five groups （n=10）： Sham surgery group （Sham）， model group （MG）， and low-dose （LD，5.3 g·kg^-1）， medium-dose （MD，10.6 g·kg^-1）， and high-dose （HD，21.2 g·kg^-1） HGWT groups. From 3 days before modeling to 7 days after surgery， oral administration was performed daily： Sham and MG groups received physiological saline， while each drug group received the corresponding dose of HGWT. Hematoxylin-eosin （HE） staining， Nissl staining， and terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling （TUNEL staining） were used to assess the repair effects of HGWT on neural damage. Western blot analysis was used to detect B-cell lymphoma-2 protein （Bcl-2）， Bcl-2-associated X protein （Bax）， signal transducer and activator of transcription 3 （STAT3）， phosphorylated STAT3 ［p-STAT3 （Tyr705）］， protein kinase B1 （Akt1）， and phosphorylated Akt1 ［p-Akt1 （Ser473）］， among other target proteins. ResultsAfter screening， 56 common target points of DEGs-disease-drug were obtained. GO and KEGG analyses indicated that HGWT primarily functions in pathways such as apoptosis， oxidative stress， and inflammatory responses. Immune infiltration analysis revealed a significant association between HGWT's anti-CIRI activity and immune cells such as Th17 cells and myeloid-derived suppressor cells （MDSCs） （P0.01）. LASSO-ROC analysis identified Akt1， Caspase-3， glycogen synthase kinase-3β （GSK-3β）， and STAT3 as core genes. Molecular docking confirmed that Hub genes exhibit significant binding affinity with the active components of HGWT （binding energy ≤ -5 kJ·mol^-1）（1 cal≈4.186 J）. Animal experiment results showed that compared with the sham group， the MG group exhibited significant neuronal necrosis， nuclear condensation， and vacuolar degeneration in rat brains， with a significant decrease in Nissl body density （P0.01） and increased neuronal apoptosis in rat brains as indicated by TUNEL staining （P0.01）. Compared with the MG， the LD， MD， and HD groups showed reduced neuronal necrosis， nuclear condensation， and vacuolar degeneration in rat brain neurons， increased Nissl body density， and reduced apoptosis （P0.01）， with significant differences among the drug groups （P0.01）. Western blot results showed that compared with the sham group， the MG group had reduced Bcl-2 and p-Akt1 （P0.01） and increased Bax and p-STAT3 （P0.01）. Compared with the MG group， the drug groups showed increased Bcl-2 and p-Akt1 （P0.01） and decreased Bax and p-STAT3 （P0.01）. There were no significant changes in total Akt1 and STAT3 protein levels among the groups. ConclusionBased on network pharmacology and experimental verification， HGWT may exert its neuroprotective effects by regulating the phosphorylation levels of Akt1 and STAT3， thereby alleviating cell apoptosis， inflammatory responses， and oxidative stress in rat brain tissue following CIRI. This provides theoretical support for the clinical treatment of CIRI.

Background/Aims: The World Health Organization set the goal of eliminating hepatitis C virus (HCV) by 2030, with 80% and 65% reductions in HCV incidence and mortality rates, respectively. We aimed to evaluate the health benefits, cost-effectiveness and return on investment (ROI) of HCV elimination. Methods: Using an HCV transmission compartmental model, we evaluated the benefits and costs of different strategies combining screening and treatment for Chinese populations. We identified strategies to achieve HCV elimination and calculated the incremental cost-effectiveness ratios (ICERs) per disability-adjusted life year (DALY) averted for 2022–2030 to identify the optimal elimination strategy. Furthermore, we estimated the ROI by 2050 by comparing the required investment with the economic productivity gains from reduced HCV incidence and deaths. Results: The strategy that results in the most significant health benefits involves conducting annual primary screening at a rate of 14%, re-screening people who inject drugs annually and the general population every five years, and treating 95% of those diagnosed (P14-R4-T95), preventing approximately 5.75 and 0.44 million HCV infections and deaths, respectively, during 2022–2030. At a willingness-to-pay threshold of $12,615, the P14-R4-T95 strategy is the most cost-effective, with an ICER of $5,449/DALY. By 2050, this strategy would have a net benefit of $120,997 million (ROI=0.868). Conclusions Achieving HCV elimination in China by 2030 will require significant investment in large-scale universal screening and treatment, but it will yield substantial health and economic benefits and is cost-effective.