A hybrid model for enhanced forecasting of PM2.5 spatiotemporal concentrations with high resolution and accuracy.

Forecasting concentrations of PM2.5 is important due to its known impacts on public health and environment. However, PM2.5 concentrations can vary significantly over short distances and time, which can be influenced by local emissions and short-term weather patterns. This spatiotemporal variability makes accurate PM2.5 forecasting an inherently complex and challenging task. This study presented novel methodologies for short-term PM2.5 concentration forecast by combining the atmospheric chemistry transport model Community Multiscale Air Quality Modeling System (CMAQ) with data-driven machine learning methods, namely long short-term memory (LSTM) and random forest (RF) models. The combined model system forecast PM2.5 with 1 h, 1km × 1 km spatiotemporal resolution. The LSTM system forecast time-dependent PM2.5 concentrations at observation sites with a maximum root mean square error (RMSE) of 3.66 µg/m3 for 1-hr forecast and 23.75 µg/m3 for 72-hr forecast, leveraging results obtained from the atmospheric transport model with RMSE of 45.81 µg/m3. Wavelet transform in the LSTM system allowed learning and prediction of PM2.5 concentrations at different frequencies, capturing temporal variability of PM2.5 at various time scales. The RF model predicted distributions of PM2.5 concentrations by learning LSTM results and integrating crucial features such as CMAQ results, meteorological and topographical information. The feature significance of CMAQ results was the highest among the input features in RF models. Overall, the hybrid model could help with managing and mitigating the adverse effects of air pollution by enabling informed decision-making at the individual, community and policy levels.

Acupuncture Combined with Bushen-Jianpi Decoction Ameliorates the Ovarian Function of Diminished Ovarian Reserve Rats by Regulating Phosphoinositide 3-Kinase/AKT Signaling.

OBJECTIVE: This study aimed to explore the therapeutic efficiency as well as mechanism of acupuncture combined with Bushen-Jianpi decoction (BJD) to treat rats with diminished ovarian reserve (DOR). METHODS: A DOR rat model was constructed using zona pellucida 3 peptide, and acupuncture, BJD, and their combination were administered as therapeutic interventions. We measured changes in the ovarian indexes, the number of follicles at all levels, the serum levels of sex hormones and immune factors, the expression levels of phosphoinositide 3-kinase (PI3K), AKT, p-AKT, and caspase-3, and the changes in the proportions of splenic T cell subtypes, including T-helper 17 (Th17), Tc17, regulatory T (Treg), CD4+, and CD8+ cells. RESULTS: Acupuncture combined with BJD induced a decrease in the levels of follicle-stimulating and luteinizing hormones, and the effect was greater than that elicited by BJD or acupuncture alone (P < 0.05). Additionally, this combination treatment effectively abrogated the increase in the levels of interleukin-2 (IL-2), IL-17, anti-zona pellucida antibody, and cleaved caspase-3 (P < 0.05), while promoting the regulation of IL-6 and p-AKT (P < 0.01). Furthermore, treatment with acupuncture combined with BJD restored the proportions of CD4+ cells and the CD4+ / CD8+ T cell ratio (P < 0.01), decreased the proportion of CD8+ T and Th17 cells (P < 0.01), and increased the proportions of Tc17 and Treg cells (P < 0.01). CONCLUSION: Combining acupuncture with BJD can enhance ovarian function in DOR rats. The regulation of sex hormone levels and immune function in rats may be attributed to the adjustment of the mRNA and proteins levels of PI3K, AKT, and caspase-3 in the PI3K/AKT signaling pathway, which leads to an improvement in the immune function of DOR rats.

Interface Bonding Properties and Mechanism of Steel Fiber and Hot Melt Adhesive via Interface Design Engineering.

Steel fiber textile, which is composed of steel fibers and glass fibers, has a support layer impregnated with hot melt adhesive (HMA). During long-term service, the bonding force between the steel fiber/HMA system interfaces is poor. In order to improve the bond strength and durability of the interface, this paper introduced sandblasting, acid-etching, and phosphating treatments on the surface of the steel fibers. Also, the effects of these three pretreatment methods on the bond strength of the steel fiber/HMA interface were investigated. The results indicate that the interfacial bond strength of composites made from steel fibers is improved via surface treatment. Under a hydrothermal and simulated concrete pore solution environment, the durability of the steel fiber/HMA interface after sandblasting and acid-etching pretreatment is not as good as that after phosphating pretreatment. The mechanical properties of the phosphating/HMA composite were maintained at 4.56 and 2.24 times compared to those of the untreated/HMA composite, respectively. This is because the pinning effect formed by the phosphating film on the surface of steel fibers at the interface of steel fiber/HMA can serve as a physical barrier against corrosion, preventing the invasion of chloride ions and water vapor and improving the durability of the interface.

Low Prognostic Nutritional Index Predicts Adverse Outcomes in Patients With Heart Failure: A Systematic Review and Meta-analysis.

The association of low prognostic nutritional index (PNI) with adverse outcomes remains conflicting in heart failure patients. To address these knowledge gaps, we performed this meta-analysis to investigate the predictive value of PNI in patients with heart failure (HF). PubMed and Embase databases were comprehensively searched until January 19, 2023, to identify studies that evaluated the predictive role of PNI in HF patients. Outcomes of interest included all-cause mortality and/or combined endpoint of mortality and re-hospitalization. Twelve studies involving 9365 patients with HF were included and analyzed. Comparison of the lowest with the highest PNI, the pooled multivariate adjusted risk ratio (RR) was 1.79 (95% confidence interval [CI] 1.40-2.30) and 2.67 (95% CI 1.92-3.71) for long-term all-cause mortality and combined endpoint of mortality and re-hospitalization, respectively. Furthermore, per unit reduction in PNI was associated with 8% higher risk of all-cause mortality. However, there was no clear association of low PNI with in-hospital mortality. Low PNI may be an independent predictor of long-term all-cause mortality and re-hospitalization in patients with HF. Estimation of nutritional state using the PNI may provide an important clue for risk stratification in these patients.

High-time resolution PM2.5 source apportionment assisted by spectrum-based characteristics analysis.

Characteristics extraction and anomaly analysis based on frequency spectrum can provide crucial support for source apportionment of PM2.5 pollution. In this study, an effective source apportionment framework combining the Fast Fourier Transform (FFT)- and Continuous Wavelet Transform (CWT)-based spectral analyses and Positive Matrix Factorization (PMF) receptor model is developed for spectrum characteristics extraction and source contribution assessment. The developed framework is applied to Beijing during the winter heating period with 1-h time resolution. The spectrum characteristics of anomaly frequency, location, duration and intensity of PM2.5 pollution can be captured to gain an in-depth understanding of source-oriented information and provide necessary indicators for reliable PMF source apportionment. The combined analysis demonstrates that the secondary inorganic aerosols make relatively high contributions (50.59 %) to PM2.5 pollution during the winter heating period in Beijing, followed by biomass burning, vehicle emission, coal combustion, road dust, industrial process and firework emission sources accounting for 15.01 %, 11.00 %, 10.70 %, 5.31 %, 3.88 %, and 3.51 %, respectively. The source apportionment result suggests that combining frequency spectrum characteristics with source apportionment can provide consistent rationales for understanding the temporal evolution of PM2.5 pollution, identifying the potential source types and quantifying the related contributions.

Association between dietary trace minerals and pelvic inflammatory disease: data from the 2015-2018 National Health and Nutrition Examination Surveys.

Objective: Pelvic inflammatory disease (PID) is a prevalent gynecological disorder. Dietary trace minerals play an important role in combating many chronic diseases including PID. However, it is unknown whether dietary trace minerals and PID are related. This study aimed to examine the relationship between dietary trace minerals (copper, iron, selenium, and zinc) and PID. Methods: Data of women participants from the National Health and Nutrition Examination Survey (NHANES) 2015-2018 were enrolled in this cross-sectional investigation. Univariate and multivariate linear regression analyses of the relationship between dietary trace minerals and PID were performed, and restricted cubic spline (RCS) analyses were applied to visualize those relationships. Results: In total, 2,694 women between the ages of 20 and 59 years participated in the two NHANES cycles. In the univariate analyses, a significant negative relationship was identified between PID and dietary copper intake [odds ratio (OR) = 0.40, 95% confidence interval (CI): 0.24-0.67, p < 0.01] but not with iron (OR = 0.96, 95% CI: 0.90-1.03, p = 0.25), selenium (OR = 1.0, 95% CI: 0.99-1.0, p = 0.23), and zinc (OR = 0.94, 95% CI: 0.86-1.03, p = 0.17) intake. Following the adjustment for age and race (model 1), a robust correlation was found between dietary copper intake and PID (OR = 0.23, 95% CI = 0.09-0.61, p < 0.01), as indicated by the fully adjusted model 2 (OR = 0.29, 95% CI = 0.09-0.90, p = 0.03). Simultaneously, a significant trend was found between copper intake and PID across the quintile subgroups (p for trends <0.05), suggesting a robust relationship. Furthermore, the RCS analysis demonstrated a linear correlation between PID and dietary copper intake (overall p < 0.01, non-linear p = 0.09). Conclusion: Decreased dietary copper intakes are linked to PID. However, additional research is needed to fully investigate this relationship due to the constraints of the study design.

Assessing the Clinical Efficacy of Stereotactic Puncture in Combination with Postoperative Rehabilitation Training for Hypertensive Cerebral Hemorrhage.

Objective: This study aims to investigate the clinical efficacy of stereotactic puncture for intracerebral hematoma removal, combined with postoperative individualized health education and rehabilitation training concerning hypertensive cerebral hemorrhage. We also assessed its impact on rebleeding prevention and neurological function recovery. Methods: A retrospective study was conducted, including 90 patients diagnosed with hypertensive cerebral hemorrhage in our hospital between March 2020 and June 2022. The inclusion criteria were patients with an episcleral hematoma volume exceeding 30 ml. The control group underwent minimally invasive removal using neuroendoscopy (45 patients), while the observation group received stereotactic puncture for intracerebral hematoma removal (45 patients). After surgery, both groups received individualized health education and rehabilitation training. The assessment included: (1) determination of clinical efficacy, (2) monitoring for rebleeding within 72 hours after surgery, (3) evaluation of daily living ability using the Barthel index, (4) assessment of motor function using the Fugl-Meyer Assessment (FMA) scale, and (5) monitoring for adverse reactions. Results: The observation group, which underwent stereotactic puncture for intracerebral hematoma removal combined with postoperative individualized health education and rehabilitation training, exhibited significantly better clinical efficacy, Barthel index scores, and FMA scores compared to the control group that underwent neuroendoscopic minimally invasive removal (P < .05). Notably, no complications were observed in either group, and there was no significant difference in the postoperative bleeding rate within 72 hours. Conclusions: The combined treatment approach of stereotactic puncture for intracerebral hematoma removal and postoperative individualized health education and rehabilitation training demonstrates promising therapeutic effects in managing hypertensive cerebral hemorrhage. This approach also contributes significantly to the rehabilitation of patients with hypertensive cerebral hemorrhage, warranting widespread clinical adoption.

Association between depression and endometriosis using data from NHANES 2005-2006.

Studies on the association between depression and self-reported endometriosis are limited, and further studies are required to investigate this association. Data were collected from the National Health and Nutrition Examination Survey database (2005-2006). Based on the inclusion and exclusion criteria, 100 participants with self-reported endometriosis and 1295 participants without self-reported endometriosis were included, representing a total population of 64,989,430. Depression severity was assessed using the Patient Health Questionnaire 9 (PHQ9). A survey-weighted logistic regression analysis was performed to explore the association between depression and endometriosis. Subgroup analyses were conducted to explore heterogeneity. The prevalence of endometriosis was 7.17%. A significant positive association was found between the PHQ9 score and endometriosis. After adjusting for all covariates, the PHQ9 score positively correlated with endometriosis. Furthermore, compared with the participants without depression, those with moderate depression were more prone to have endometriosis both in unadjusted and fully adjusted model. However, the relationship between severe depression and endometriosis was not significant in all models (P > 0.05). Our findings highlight the influence of depression on the prevalence of self-reported endometriosis. Further studies are required to elucidate the causal relationship between depression and self-reported endometriosis.

On-site airborne pathogen detection for infection risk mitigation.

Human-infecting pathogens that transmit through the air pose a significant threat to public health. As a prominent instance, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that caused the COVID-19 pandemic has affected the world in an unprecedented manner over the past few years. Despite the dissipating pandemic gloom, the lessons we have learned in dealing with pathogen-laden aerosols should be thoroughly reviewed because the airborne transmission risk may have been grossly underestimated. From a bioanalytical chemistry perspective, on-site airborne pathogen detection can be an effective non-pharmaceutic intervention (NPI) strategy, with on-site airborne pathogen detection and early-stage infection risk evaluation reducing the spread of disease and enabling life-saving decisions to be made. In light of this, we summarize the recent advances in highly efficient pathogen-laden aerosol sampling approaches, bioanalytical sensing technologies, and the prospects for airborne pathogen exposure measurement and evidence-based transmission interventions. We also discuss open challenges facing general bioaerosols detection, such as handling complex aerosol samples, improving sensitivity for airborne pathogen quantification, and establishing a risk assessment system with high spatiotemporal resolution for mitigating airborne transmission risks. This review provides a multidisciplinary outlook for future opportunities to improve the on-site airborne pathogen detection techniques, thereby enhancing the preparedness for more on-site bioaerosols measurement scenarios, such as monitoring high-risk pathogens on airplanes, weaponized pathogen aerosols, influenza variants at the workplace, and pollutant correlated with sick building syndromes.

Effects of body mass index on IVF outcomes in different age groups.

BACKGROUND: Herein, we aimed to analyse the effects of body mass index (BMI) on the treatment outcomes of in vitro fertilisation (IVF) in a cohort of women undergoing their first IVF cycle. METHODS: A total of 2311 cycles from 986 women undergoing their first IVF/intracytoplasmic sperm injection cycle with fresh/frozen embryo transfer between January 2018 and December 2021 at the Center of Reproductive Medicine, Shuguang Hospital affiliated to Shanghai University of Traditional Chinese Medicine, were considered in this retrospective cohort study. First, the included patients were classified into four groups based on their BMI: underweight (BMI < 18.5 kg/m2, 78 patients), normal weight (18.5 ≤ BMI < 24 kg/m2, 721patients), overweight (24 ≤ BMI < 28 kg/m2, 147 patients), and obese (BMI ≥ 28 kg/m2, 40 patients). The IVF outcomes included the Gn medication days; Gn dosage; number of retrieved oocytes, mature oocytes, fertilized oocytes, cleavages, and available embryos and high-quality embryos; implantation rate; clinical pregnancy rate and live birth rate. Next, all the obtained data were segregated into three different subgroups according to the patient age: < 30 years, 30-38 years and > 38 years; the IVF pregnancy outcomes were compared among the groups. RESULTS: Compared with the other three groups, the underweight group had a higher number of fertilized oocytes, cleavage and available embryos and a smaller Gn medication days and required a lower Gn dosage. There was no difference in the number of retrieved oocytes and mature oocytes among the groups. Moreover, compared with the women aged 30-38 years in the overweight group, those in the normal weight group had a significantly higher implantation rate, clinical pregnancy rate and live birth rate (p = 0.013 OR 1.75, p = 0.033 OR 1.735, p = 0.020 OR 1.252 respectively). The clinical pregnancy rate was also significantly higher in those aged 30-38 years in the normal weight group than in the obese group (p = 0.036 OR 4.236). CONCLUSIONS: Although the BMI can greatly affect the pregnancy outcomes of women aged 30-38 years, it has almost no effects on the outcomes of younger or older women.

Construction of a telomere-related gene signature to predict prognosis and immune landscape for glioma.

Background: Glioma is one of the commonest malignant tumors of the brain. However, glioma present with a poor clinical prognosis. Therefore, specific detection markers and therapeutic targets need to be explored as a way to promote the survival rate of BC patients. Therefore, we need to search for quality immune checkpoints to support the efficacy of immunotherapy for glioma. Methods: We first recognized differentially expressed telomere-related genes (TRGs) and accordingly developed a risk model by univariate and multivariate Cox analysis. The accuracy of the model is then verified. We evaluated the variations in immune function and looked at the expression levels of immune checkpoint genes. Finally, to assess the anti-tumor medications often used in the clinical treatment of glioma, we computed the half inhibitory concentration of pharmaceuticals. Results: We finally identified nine TRGs and built a risk model. Through the validation of the model, we found good agreement between the predicted and observed values. Then, we found 633 differentially expressed genes between various risk groups to identify the various molecular pathways between different groups. The enrichment of CD4+ T cells, CD8+ T cells, fibroblasts, endothelial cells, macrophages M0, M1, and M2, mast cells, myeloid dendritic cells, and neutrophils was favorably correlated with the risk score, but the enrichment of B cells and NK cells was negatively correlated with the risk score. The expression of several immune checkpoint-related genes differed significantly across the risk groups. Finally, in order to create individualized treatment plans for diverse individuals, we searched for numerous chemotherapeutic medications for patients in various groups. Conclusion: The findings of this research provide evidence that TRGs may predict a patient's prognosis for glioma, assist in identifying efficient targets for glioma immunotherapy, and provide a foundation for an efficient, customized approach to treating glioma patients.

A WRF-CMAQ modeling of atmospheric peroxyacetyl nitrate and source apportionment in Central China.

Atmospheric peroxyacetyl nitrate (PAN), as an essential constituent in the photochemical smog, is formed from photochemical reactions between volatile organic compounds (VOCs) and NOx. However, limited regional studies on distribution, formation and sources of PAN restrict the further understanding of the atmospheric behavior and environmental significance of PAN. In this study, the variation characteristics of PAN and the influencing factors to PAN concentrations were investigated using the WRF-CMAQ model simulation in the central China during July 2019. The results showed that the monthly mean concentration of PAN in the near-surface layer was 0.4 ppbv and increased with the height rising, accompanied by strong intra-day variation. The process analysis suggested that the removal was mainly controlled by dry deposition (57 %), followed by the gas-phase chemistry (43 %) which was mainly attributed to the thermal decomposition. Based on the sensitivity simulation, PAN concentrations decreased effectively in most of the simulated regions when precursors of VOCs and NOx emissions were reduced, and PAN concentrations were more sensitive to VOCs emissions than NOx emissions. The reduction of NOx and VOCs could lead to enhanced atmospheric oxidation in east-central region, which in turn hindered the decrease of PAN concentrations. During the simulation period, we found that emissions from industry and transportation sectors had the greatest impact on PAN concentrations in the central China, with contributions of 39 %-49 % and 33 %-41 %, respectively.

Ultrafine ZnCo2O4 QD-incorporated carbon nitride mediated peroxymonosulfate activation for norfloxacin oxidation: performance, mechanisms and pathways.

Recently, peroxymonosulfate (PMS)-based advanced oxidation processes (AOPs) are being actively investigated as a potential technology for water decontamination and many efforts have been made to improve the activation efficiency of PMS. Herein, a 0D metal oxide quantum dot (QD)-2D ultrathin g-C3N4 nanosheet (ZnCo2O4/g-C3N4) hybrid was facilely fabricated through a one-pot hydrothermal process and used as an efficient PMS activator. Benefiting from the restricted growth effect of the g-C3N4 support, ultrafine ZnCo2O4 QDs (∼3-5 nm) are uniformly and stably anchored onto the surface. The ultrafine ZnCo2O4 possesses high specific surface areas and shortened mass/electron transport route so that the internal static electric field (Einternal) formed in the interface between p-type ZnCo2O4 and the n-type g-C3N4 semiconductor could speed up the electron transfer during the catalytic reaction. This thereby induces the high-efficiency PMS activation for rapid organic pollutant removal. As expected, the ZnCo2O4/g-C3N4 hybrid catalysts significantly outperformed individual ZnCo2O4 and g-C3N4 in catalytic oxidative degradation of norfloxacin (NOR) in the presence of PMS (95.3% removal of 20 mg L-1 of NOR in 120 min). Furthermore, the ZnCo2O4/g-C3N4-mediated PMS activation system was systematically studied in terms of the identification of reactive radicals, the impact of control factors, and the recyclability of the catalyst. The results of this study demonstrated the great potential of a built-in electric field-driven catalyst as a novel PMS activator for the remediation of contaminated water.

The association between dietary inflammatory index with endometriosis: NHANES 2001-2006.

Endometriosis is a common chronic inflammatory and estrogen-dependent disease that mostly affects people of childbearing age. The dietary inflammatory index (DII) is a novel instrument for assessing the overall inflammatory potential of diet. However, no studies have shown the relationship between DII and endometriosis to date. This study aimed to elucidate the relationship between DII and endometriosis. Data were acquired from the National Health and Nutrition Examination Survey (NHANES) 2001-2006. DII was calculated using an inbuilt function in the R package. Relevant patient information was obtained through a questionnaire containing their gynecological history. Based on an endometriosis questionnaire survey, those participants who answered yes were considered cases (with endometriosis), and participants who answered no were considered as controls (without endometriosis) group. Multivariate weighted logistic regression was applied to examine the correlation between DII and endometriosis. Subgroup analysis and smoothing curve between DII and endometriosis were conducted in a further investigation. Compared to the control group, patients were prone to having a higher DII (P = 0.014). Adjusted multivariate regression models showed that DII was positively correlated with the incidence of endometriosis (P < 0.05). Analysis of subgroups revealed no significant heterogeneity. In middle-aged and older women (age ≥ 35 years), the smoothing curve fitting analysis results demonstrated a non-linear relationship between DII and the prevalence of endometriosis. Therefore, using DII as an indicator of dietary-related inflammation may help to provide new insight into the role of diet in the prevention and management of endometriosis.

Aerosol-into-liquid capture and detection of atmospheric soluble metals across the gas-liquid interface using Janus-membrane electrodes.

The soluble fraction of atmospheric transition metals is particularly associated with health effects such as reactive oxygen species compared to total metals. However, direct measurements of the soluble fraction are restricted to sampling and detection units in sequence burdened with a compromise between time resolution and system bulkiness. Here, we propose the concept of aerosol-into-liquid capture and detection, which allowed one-step particle capture and detection via the Janus-membrane electrode at the gas-liquid interface, enabling active enrichment and enhanced mass transport of metal ions. The integrated aerodynamic/electrochemical system was capable of capturing airborne particles with a cutoff size down to 50 nm and detecting Pb(II) with a limit of detection of 95.7 ng. The proposed concept can pave the way for cost-effective and miniaturized systems, for the capture and detection of airborne soluble metals in air quality monitoring, especially for abrupt air pollution events with high airborne metal concentrations (e.g., wildfires and fireworks).

Ecological Study on Global Health Effects due to Source-Specific Ambient Fine Particulate Matter Exposure.

Ambient air pollution of fine particulate matter with diameters less than 2.5 µm (PM2.5) is associated with millions of premature deaths per year, recognized as a leading global health concern. The dose-response relation between ambient PM2.5 exposure and mortality risk is the most fundamental information for assessments of the health effects of PM2.5. The existing dose-response relations were generally developed based on the assumption of equal contribution to toxicity from various sources. However, the sources of PM2.5 may significantly influence health effects. In this study, we conducted an ecological study to investigate the global long-term correlation between source-specific PM2.5 exposure and cause-specific mortality risk (SPECM) based on the regional aggregate data of the publically available official health databases from 528 regions worldwide with a total registered population of 3.2 billion. The results provided preliminary epidemiological evidence for differing chronic health effects across various sources. The relative mortality risks of lung cancer and circulatory diseases were closely correlated with the primary emissions from industrial and residential combustion sources. Chronic lower respiratory diseases were mostly associated with the mass concentration of particulate matter.

Increased serum pannexin-1 concentrations reflect illness severity and predict a poor prognosis after acute supratentorial intracerebral hemorrhage: A prospective longitudinal cohort study.

BACKGROUND: Pannexin-1 is a nonselective, large pore and voltage gated channel protein, whose activation may aggravate acute brain injury. We ascertained the clinical significance of serum pannexin-1 as a prognostic biomarker of acute intracerebral hemorrhage (ICH). METHODS: In this prospective, observational study of 124 acute supratentorial ICH patients and 124 healthy controls, serum pannexin-1 concentrations were determined. Admission National Institutes of Health Stroke Scale (NIHSS) score and hematoma volume were used for assessment of hemorrhagic severity, post-stroke 6-month modified Rankin scale (mRS) score was registered to reflect clinical outcome and early neurologic deterioration (END) and 6-month poor outcome (mRS score of 3-6) were regarded as the 2 prognostic parameters. Their associations with serum pannexin-1 concentrations were investigated using multivariate analysis. The predictive performance was evaluated in terms of area under receiver operating characteristic curve (AUC). RESULTS: In comparison to controls, significantly increased serum pannexin-1 concentrations after ICH (median, 6.8 vs. 2.7 mg/ml) were independently correlative with NIHSS score (ß, 0.193; 95% CI: 0.086-0.300), hematoma volume (ß, 0.641; 95% CI: 0.423-0.859) and mRS score (ß, 0.199; 95% CI: 0.065-0.174), were independently predictive of END (OR, 1.176; 95% CI: 1.081-1.280) and poor outcome (odds ratio, 1.218; 95% CI: 1.059-1.400), as well as were efficiently discriminative of END (AUC, 0.764; 95% CI: 0.663-0.864) and poor 6-month outcome (AUC, 0.790; 95% CI: 0.711-0.870). Serum pannexin-1 combined with NIHSS score and hematoma volume (AUC, 0.908; 95% CI: 0.857-0.960) displayed significantly higher predictive ability for poor 6-month outcome than NIHSS score and hematoma volume alone (both P < 0.05). CONCLUSION: Rising serum pannexin-1 concentrations following ICH, in strong correlation with hemorrhagic severity, independently distinguish the risk of END and 90-day poor outcome. Assumably, serum pannexin-1 may represent a valuable prognostic biomarker of ICH.

Dynamic harmonization of source-oriented and receptor models for source apportionment.

Millions of premature mortalities are caused by the air pollution of fine particulate matter with aerodynamic diameters less than 2.5 µm (PM2.5) globally per year. To effectively control the dominant emission sources and abate air pollution, source apportionment of PM2.5 is normally conducted to quantify the contributions of various sources, but the results of different methods might be inconsistent. In this study, we dynamically harmonized the results from the two dominant source apportionment methods, the source-oriented and receptor models, by updating the emission inventories of primary PM2.5 from the major sectors based on the Bayesian Inference. An adjoint model was developed to efficiently construct the source-receptor sensitivity matrix, which was the critical information for the updates, and depicted the response of measurements to the changes in the emissions of various sources in different regions. The harmonized method was applied to a measurement campaign in Beijing from January to February 2021. The results suggested a significant reduction of primary PM2.5 emissions in Beijing. Compared with the baseline emission inventory of 2017, the primary PM2.5 emissions from the local residential combustion and industry in Beijing had significantly declined by about 90 % during the investigated period of the year, and the traffic emission decreased by about 50 %. The proposed methods successfully identified the temporally dynamic changes in the emissions induced by the Spring Festival. The methods could be a promising pathway for the harmonization of source-oriented and receptor source apportionment models.

Association of Metabolic Syndrome with Adverse Outcomes in Patients with Stable Coronary Artery Disease: A Meta-Analysis.

A consensus has not been reached on the association of metabolic syndrome (MetS) with adverse outcomes in patients with stable coronary artery disease (CAD). The purpose of this systematic review and meta-analysis was to summarize the prognostic implication of MetS in patients with stable CAD. We comprehensively searched articles indexing in PubMed and Embase databases until August 14, 2022. Original studies investigating the association of MetS with adverse outcomes in patients with stable CAD were included. Seven studies including 32 736 patients with stable CAD were identified. Depending on the definition of MetS, the reported prevalence of MetS ranged from 23.4% to 63%. Meta-analysis showed that patients with MetS conferred an increased risk of all-cause mortality [risk ratio (RR) 1.22; 95% confidence intervals (CI) 1.15-1.19], cardiovascular mortality (RR 1.49; 95% CI 1.16-1.92), and MACEs defined by death, myocardial infarction, revascularization, cardiac arrest, or angina admission (RR 1.47; 95% CI 1.20-1.79), respectively. Leave-one-out sensitivity analysis indicated the robustness of the value of MetS in prediction of all-cause mortality. MetS may be an independently predictor of adverse outcomes in patients with stable CAD. However, future studies are required to consolidate the current evidence due to the small number of studies included.

ARID1A has prognostic value in acute myeloid leukemia and promotes cell proliferation via TGF-ß1/SMAD3 signaling.

Previous studies have shown that the gene AT-rich interactive domain-containing protein 1A (ARID1A) is a subunit of SWI/SNF chromatin remodeling complex that acts as a tumor suppressor gene in several cancers and plays a vital role in tumorigenesis. However, its biological functions in acute myeloid leukemia (AML) are still unclear. Here, we tried to elaborate the expression of ARID1A in patients with AML, in leukemia cells, as well as the molecular mechanisms. Our results indicated that the expression of ARID1A was significantly downregulated in the bone marrow of patients with AML and relapsed patients compared with healthy subjects and patients in complete remission. Meantime, receiver operating characteristic curve analysis showed that the expression of ARID1A could be used to discriminate between patients with AML and patients in complete remission. We further constructed a knockdown cell model to determine the regulatory mechanisms of ARID1A in AML cells. We found that the decreased expression of ARID1A promoted cell proliferation, suppressed cellular apoptosis, and impeded cell cycle arrest via TGF-ß1/SMAD3 signaling pathway. These results revealed that the reduced expression of ARID1A promoted cell proliferation via the TGF-ß1/SMAD3 cascade and served as a prognostic biomarker for AML and therapeutic targets.