Objective: To analyze the causes and distribution characteristics of leukopenia in apheresis platelet donors, and to formulate effective pre-donation intervention measures. Methods: The data of apheresis platelet donors with leukopenia in Dongguan Central Blood Station during the entire year of 2021 were collected. Combined with the results of peripheral blood smear examination, the related factors that may cause leukopenia were analyzed. Results: There were 57 apheresis platelet donors with leukopenia in peripheral blood, with an incidence of 1.53% (57/3 726). The rate of leukopenia showed no significant difference between male and female apheresis platelet donors (χ =0.627, P>0.05), and was not related to the frequency of platelet donation (χ =1.48, P>0.05). However, there were statistically significant differences in the rate of leukopenia across seasons (χ =10.13, P<0.05), highly significant differences among different age groups (χ =22.98, P<0.001), and a significant association with the number of apheresis platelet donations (χ =7.80, P<0.05). Multivariate logistic regression analysis showed that age (36-55 years old), number of donations (≥26 times), and season (first and fourth quarters) were independent risk factors for leukopenia in apheresis platelet donors, while gender had no significant independent effect on leukopenia. Peripheral blood smear examination was performed on all apheresis platelet donors with leukopenia, and primary malignant hematological diseases infiltrated into peripheral blood were excluded. Among them, two cases of peripheral blood smear showed left shift of granulocyte nucleus with increased and thickened granules, whereas the other 55 cases only showed decreased peripheral blood nucleated cell counts without obvious morphological abnormalities. Conclusion: Leukopenia in apheresis platelet donors mainly occurred in young and middle-aged people and those with ≥26 donations, with high incidence in winter and spring, and more common in males. Blood routine examination combined with blood smear examination can facilitate the detection of conditions that are not suitable for blood donation, including hematological malignant diseases and infection-related leukopenia. Strengthening health consultation before blood donation is an important measure to identify blood donors with leukopenia.

To address the constrains imposed by insufficient hydrogen peroxide (H2O2) and high glutathione (GSH) expression in tumor cells on the efficacy of chemodynamic therapy (CDT), zeolitic imidazolate framework-8 (ZIF-8) loaded with disulfiram (DSF) and 3-amino-1,2,4-triazole (3-AT) was synthesized via a one-pot approach. Subsequently, hyaluronic acid (HA)-modified cupric peroxide (CuO2) was in-situ grown on its surface through biomineralization to construct a multifunctional copper-based nanozyme ADZCH (3-AT/DSF@ZIF-8@CuO2-HA). This nanoplatform disrupts the intratumoral H2O2 homeostasis, depletes GSH, and synchronously delivers DSF and Cu2+ via cascade catalysis, thereby enhancing CDT and sensitizing tumors to DSF-based chemotherapy. The results of physicochemical characterization indicated that ADZCH presented a uniform core-shell structure with favorable dispersibility. Its particle size and Zeta potential were 196.5 nm and −19.5 mV, respectively. It possessed a microporous structure with a specific surface area of 81.8600 m2/g, and demonstrated efficient loading capacity for DSF and 3-AT, achieving drug loading efficiencies of 5.91% and 45.07%, respectively. Moreover, ADZCH can continuously and slowly release drugs in an acidic environment and maintain good stability under diverse physiological conditions. In vitro functional assays verified that ADZCH catalytically generated H2O2 and hydroxyl radicals while concurrently depleting GSH in a concentration- and incubation time-dependent manner. Cellular uptake experiments showed that HA modification significantly improved the uptake of nanoparticles by 4T1 cells. Cytotoxicity tests showed that 80 μg/mL ADZCH had a significant cytotoxic effect on 4T1 cells but no significant toxicity on L929 cells. DCFH-DA probe detection indicated that ADZCH could significantly induce intracellular reactive oxygen species (ROS) generation, thereby enhancing CDT efficacy. Live/dead staining experiments showed that ADZCH efficiently induced apoptosis, with the proportion of dead cells reaching 94.74%, demonstrating its promising potential for anti-tumor applications.This study provides new research ideas and experimental basis for overcoming the tumor microenvironment barrier and enhancing the anti-tumor effect of CDT combined with chemotherapy.

Climate change is a significant environmental concern in the 21^st century. It can directly and indirectly affect public health, making it a major public health problem. This review focused on the relationship between meteorological factors and health-related behaviors such as physical activity, sleep, dietary behavior, and social contact behavior. The results indicated that meteorological factors such as temperature, relative humidity, wind speed, atmospheric pressure, and rainfall are associated with the four health behaviors. Physical activity levels are negatively associated with temperature, relative humidity, and rainfall. Sleep quality tends to decrease under extreme temperatures and extreme weather events. Dietary behavior is influenced by high and low temperatures, low pressure, and daylight duration, which in turn affects appetite and food intake. Social contact frequency decreases in response to extreme temperatures, increased rainfall, and extreme weather events. However, there are differences in the strength and direction of the associations between meteorological factors and health-related behaviors in various studies. Research on the combined effects of multiple meteorological factors exposure on health-related behaviors is rare, and the mechanisms underlying the associations are unclear. Therefore, there is a need for more multi-center, large-scale studies to explore the biological and behavioral mechanisms behind these associations, which will help clarify the complex effects of meteorological factors on human health behaviors and provide scientific evidence for policy-making, thereby mitigating the negative impact of climate change on public health.

Osteoporosis is a prevalent skeletal condition characterized by reduced bone mass and strength, leading to increased fragility. Buqi-Tongluo (BQTL) decoction, a traditional Chinese medicine (TCM) prescription, has yet to be fully evaluated for its potential in treating bone diseases such as osteoporosis. To investigate the mechanism by which BQTL decoction inhibits osteoclast differentiation in vitro and validate these findings through in vivo experiments. We employed MTS assays to assess the potential proliferative or toxic effects of BQTL on bone marrow macrophages (BMMs) at various concentrations. TRAcP experiments were conducted to examine BQTL's impact on osteoclast differentiation. RT-PCR and Western blot analyses were utilized to evaluate the relative expression levels of osteoclast-specific genes and proteins under BQTL stimulation. Finally, in vivo experiments were performed using an osteoporosis model to further validate the in vitro findings. This study revealed that BQTL suppressed receptor activator of NF-κB ligand (RANKL)-induced osteoclastogenesis and osteoclast resorption activity in vitro in a dose-dependent manner without observable cytotoxicity. The inhibitory effects of BQTL on osteoclast formation and function were attributed to the downregulation of NFATc1 and c-fos activity, primarily through attenuation of the MAPK, NF-κB, and Calcineurin signaling pathways. BQTL's inhibitory capacity was further examined in vivo using an ovariectomized (OVX) rat model, demonstrating a strong protective effect against bone loss. BQTL may serve as an effective therapeutic TCM for the treatment of postmenopausal osteoporosis and the alleviation of bone loss induced by estrogen deficiency and related conditions.
Animals ; NFATC Transcription Factors/genetics* ; Drugs, Chinese Herbal/pharmacology* ; Ovariectomy ; Osteoclasts/metabolism* ; Female ; Osteogenesis/drug effects* ; Rats, Sprague-Dawley ; Rats ; NF-kappa B/genetics* ; Osteoporosis/genetics* ; Signal Transduction/drug effects* ; Bone Resorption/genetics* ; Cell Differentiation/drug effects* ; Humans ; RANK Ligand/metabolism* ; Mitogen-Activated Protein Kinases/genetics* ; Transcription Factors

In the context of rapid global aging, the number of vulnerable elderly individuals who are sensitive to climate change and air pollution is increasing rapidly, potentially augmenting the burden of related diseases. The intrinsic capacity (IC) of the elderly refers to the comprehensive ability of individuals in physical, cognitive, and mental health aspects, typically encompassing 5 dimensions: cognitive status, motor ability, mental health, sensory function, and vitality. This article reviewed the advancements in epidemiological research on the effects of air pollution and climate change (including meteorological factors) on the overall intrinsic capacity of the elderly and its various dimensions. The results indicated that pollutants such as fine particulate matter (PM_2.5) and ozone (O₃) are most significantly associated with the decline in the cognitive function and vitality dimensions, and extreme meteorological events like high temperatures are also related to the functional deterioration of each dimension of IC. Nevertheless, the current studies mostly focus on the impact of atmospheric environmental factors on a specific dimension of IC rather than on overall IC, and research on the combined exposure to multiple atmospheric factors is even rarer, and the exploration of associated mechanisms is insufficient. Future research should enhance the investigation of the influence and mechanism of the combined exposure to air pollution and climate change on the dynamic changes of IC, and promote multi-center research and transnational cooperation. This review is conducive to clarifying the potential impact of atmospheric environmental factors on the IC of the elderly, providing a scientific basis for formulating health intervention policies to address climate change and air pollution.

Objective:To evaluate the association between heatwaves and fall-related mortality.Methods:A total of 61 421 fall-related mortality from 2013 to 2022 in 7 provinces of China were included in a time-stratified case-crossover design, with daily meteorological data derived from the fifth generation European Reanalysis dataset produced by the European Centre for Medium-Range Weather Forecasts. Conditional logistic regression chimeric distributed lag nonlinear model was used to analyze the association between heatwaves and fall-related mortality and stratified analysis was conducted according to gender and age.Results:Heatwaves were associated with an increased risk of fall-related morality. The risk of fall-related mortality during heatwaves was higher than during non-heatwave periods ( OR=1.11, 95% CI: 1.05-1.18). The attributable fraction of fall-related motality due to heatwaves was 10.25% (95% CI: 4.49%-15.36%). For each 1 ℃ increase above the heatwave threshold, the risk of fall-related mortality increased by 34% ( OR=1.34, 95% CI: 1.02-1.76). The effect of heatwave duration on fall-related mortality was not statistically significant. Stratified analyses indicated that women experienced a higher risk of fall-related mortality during heatwaves ( OR=1.13, 95% CI: 1.04-1.22) compared to man ( OR=1.10, 95% CI: 1.04-1.17). Conclusions:Heatwave increases the risk of fall-related mortality, and the intensity of heatwaves modify this risk. Women are vulnerable populations.

Objective To analyze the burden of atherosclerotic cardiovascular disease(ASCVD)attributable to lifestyle and metabolic factors in China from 1990 to 2021 and predict its future trends,providing evidence for public health prevention and control.Methods Based on the Global Burden of Disease(GBD)2021 database,we extracted disability-adjusted life years(DALYs)of ASCVD attributable to 7 key risk factors:dietary,low physical activity,smoking,high body mass index(BMI),high fasting blood glucose,high low-density lipid cholesterol(LDL-C),and hypertension.Age-standardized DALY rates(ASDR)were also calculated to account for variations in age structure,and an ARIMA model was applied to predict future trends.Results ① Overall trend analysis showed the leading risk factor for ischemic heart disease(IHD)shifted from dietary risks in 1990 to hypertension in 2021,while hypertension and smoking remained the primary risk factors for ischemic stroke(IS)and peripheral artery disease(PAD),respectively.② In BRICS nations,hypertension was the dominant risk factor for both IHD and IS,whereas in China,smoking and high fasting blood glucose continued to be the major drivers of PAD burden.③ Sex-specific analysis revealed that hypertension was the leading risk factor for IHD and IS in both males and females.For PAD,smoking was the main risk factor in males,while high fasting blood glucose was for females.Age-stratified analysis revealed that in the 15-49 age group,dietary,high LDL-C and smoking were the primary factor for IHD,IS and PAD,respectively;in the 50-69 group,dietary predominated IHD risk,hypertension IS,and smoking PAD;and among those aged≥70 years,hypertension was the leading risk factor for both IHD and IS,and high fasting blood glucose was for PAD.④ ARIMA model forecasted that by 2035,DALYs for IHD,IS,and PAD will increase to 82.816 million,46.808 million,and 0.192 million person-years,respectively.Conclusion The ASCVD burden attributable to lifestyle and metabolic factors continues to rise in China from 1990 to 2021,and is projected to further increase by 2035.Countermeasures We suggest that current prevention and control priorities are enhanced management of metabolic factors,tailored interventions by sex and age,promotion of healthy lifestyles and tobacco control,and establishment of an integrated system of prevention-treatment-rehabilitation-research.

In protein engineering, while computational models are increasingly used to predict mutation effects, their evaluations primarily rely on high-throughput deep mutational scanning (DMS) experiments that use surrogate readouts, which may not adequately capture the complex biochemical properties of interest. Many proteins and their functions cannot be assessed through high-throughput methods due to technical limitations or the nature of the desired properties, and this is particularly true for the real industrial application scenario. Therefore, the desired testing datasets, will be small-size (∼10-100) experimental data for each protein, and involve as many proteins as possible and as many properties as possible, which is, however, lacking. Here, we present VenusMutHub, a comprehensive benchmark study using 905 small-scale experimental datasets curated from published literature and public databases, spanning 527 proteins across diverse functional properties including stability, activity, binding affinity, and selectivity. These datasets feature direct biochemical measurements rather than surrogate readouts, providing a more rigorous assessment of model performance in predicting mutations that affect specific molecular functions. We evaluate 23 computational models across various methodological paradigms, such as sequence-based, structure-informed and evolutionary approaches. This benchmark provides practical guidance for selecting appropriate prediction methods in protein engineering applications where accurate prediction of specific functional properties is crucial.

Objective:This study retrospectively analyzed the clinical characteristics of patients newly diagnosed with acute myeloid leukemia (AML) who were admitted to the hematology intensive care unit (HCU) with critical illness. It also examined factors associated with critical illness and early mortality in these patients.Methods:Clinical data were collected from 91 newly diagnosed AML patients admitted to the HCU of the Department of Hematology, First Affiliated Hospital of Soochow University, from October 2020 to 2024. Reasons for HCU admission, major therapeutic interventions, and risk factors for critical illness and early mortality were analyzed.Results:The median time from diagnosis to HCU admission was 3 days ( IQR: 3–9 days), and the median HCU stay was 10 days ( IQR: 3–23 days). Of the 91 patients, 71 were admitted to the HCU before induction chemotherapy, while 20 were transferred to the HCU after its initiation. The leading causes of HCU admission were pulmonary infection (78.0% ), respiratory failure (44.0% ), hepatic insufficiency (28.6% ), renal insufficiency (27.5% ), disseminated intravascular coagulation (DIC; 25.3% ), and sepsis (23.1% ). Median Acute Physiology and Chronic Health Evaluation Ⅱ (APACHE Ⅱ) and SOFA scores at HCU admission were 14 ( IQR: 11–18) and the median Sepsis Related Organ Failure Assessment (SOFA) score was 7 ( IQR: 4, 10). Major HCU interventions included vasoactive drugs, noninvasive and invasive mechanical ventilation, continuous renal replacement therapy, therapeutic leukocyte clearance, and cardiopulmonary resuscitation. Among patients receiving induction chemotherapy, the composite complete remission rate was 65.4%, and the overall remission rate was 88.5%. Thirty-five (38.5% ) patients died within 28 days of HCU admission. Independent risk factors for 28-day mortality were DIC ( OR=9.350, 95% CI 1.999–43.745, P=0.005), sepsis ( OR=6.817, 95% CI 1.571–29.582, P=0.010), and cardiac insufficiency ( OR=12.281, 95% CI 2.385–63.254, P=0.003) . Conclusion:The main reason for HCU admission in newly diagnosed critically ill AML patients was pulmonary infection. Nearly 40% of patients experisenced early death, and DIC, sepsis, and heart failure were factors influencing early mortatlity.

Objective:To evaluate the association between heatwaves and fall-related mortality.Methods:A total of 61 421 fall-related mortality from 2013 to 2022 in 7 provinces of China were included in a time-stratified case-crossover design, with daily meteorological data derived from the fifth generation European Reanalysis dataset produced by the European Centre for Medium-Range Weather Forecasts. Conditional logistic regression chimeric distributed lag nonlinear model was used to analyze the association between heatwaves and fall-related mortality and stratified analysis was conducted according to gender and age.Results:Heatwaves were associated with an increased risk of fall-related morality. The risk of fall-related mortality during heatwaves was higher than during non-heatwave periods ( OR=1.11, 95% CI: 1.05-1.18). The attributable fraction of fall-related motality due to heatwaves was 10.25% (95% CI: 4.49%-15.36%). For each 1 ℃ increase above the heatwave threshold, the risk of fall-related mortality increased by 34% ( OR=1.34, 95% CI: 1.02-1.76). The effect of heatwave duration on fall-related mortality was not statistically significant. Stratified analyses indicated that women experienced a higher risk of fall-related mortality during heatwaves ( OR=1.13, 95% CI: 1.04-1.22) compared to man ( OR=1.10, 95% CI: 1.04-1.17). Conclusions:Heatwave increases the risk of fall-related mortality, and the intensity of heatwaves modify this risk. Women are vulnerable populations.