Ultralow Roll-off Thermally Activated Delayed Fluorescent Light-Emitting Diodes Based on Furo[2,3-b]quinoxaline Emitters.

Herein, a Y-type compound (67dMeOTPA-FQ) and a T-type compound (58dMeOTPA-FQ) based on furo[2,3-b]quinoxaline were synthesized. The theory calculation shows the S1 and T1 of both compounds own a charge-transfer feature while their T2 states have a local excitation feature. The calculated kRISC(T2-S1) is one to 2 orders of magnitude larger than kRISC(T1-S1). Thus, the nonadiabatic spin-vibronic mechanism involved in the T2 state is suggested to be responsible for the thermally activated delayed fluorescence (TADF) feature. Meanwhile, when 2-methyl-9,10-bis(naphthalen-2-yl)anthracene is selected as host, the maximum luminance of the device based on 67dMeOTPA-FQ is up to 104215 cd·m-2, and the external quantum efficiency (EQE) keeps in the 8.2-8.0% range with the luminance changed from 55.0 cd·m-2 to 90000 cd·m-2, only 2.4% efficiency roll-off. As for 58dMeOTPA-FQ, a slightly lower EQE of 7.1-6.7% with the luminance range of 1-40000 cd·m-2 was achieved for orange-red emission. Both the reverse intersystem crossing (RISC) and triplet-triplet annihilation mechanisms are supposed to concurrently contribute to the utilization of triplet excitons and suppress the notorious efficiency roll-off observed in TADF-based devices.

Dynamic changes in pyroptosis following spinal cord injury and the identification of crucial molecular signatures through machine learning and single-cell sequencing.

The pathological cascade of spinal cord injury (SCI) is highly intricate. The onset of neuroinflammation can exacerbate the extent of damage. Pyroptosis is a form of inflammation-linked programmed cell death (PCD), the inhibition of pyroptosis can partially mitigate neuroinflammation. It is imperative to delineate the principal cell types susceptible to pyroptosis and concomitantly identify key genes associated with this process. We initially defined the pyroptosis-related genes (PRGs) and analyzed their expression at different time points post SCI. The results demonstrate a substantial upregulation of differentially expressed genes (DEGs) related to pyroptosis on the 7 days post-injury (dpi), these DEGs in the 7 dpi are closely related to the inflammatory response. Subsequently, immune infiltration analysis revealed a predominant presence of inflammatory microglia. Through correlation analysis, we postulated that pyroptosis primarily manifested within the inflammatory microglia. Employing machine learning algorithms, we identified four pyroptosis-related molecular signatures, which were experimentally validated using BV2 cells and spinal cord tissue samples. The robustness of the identified molecular signatures was further confirmed through single-cell sequencing data analysis. Overall, our study elucidates the temporal dynamics of pyroptosis and identifies key molecular signatures following SCI. These findings can provide novel evidence for therapeutic interventions in SCI.

Octopus-Inspired Underwater Soft Robotic Gripper with Crawling and Swimming Capabilities.

Can a robotic gripper only operate when attached to a robotic arm? The application space of the traditional gripper is limited by the robotic arm. Giving robot grippers the ability to move will expand their range of applications. Inspired by rich behavioral repertoire observed in octopus, we implement an integrated multifunctional soft robotic gripper with 6 independently controlled Arms. It can execute 8 different gripping actions for different objects, such as irregular rigid/soft objects, elongated objects with arbitrary orientation, and plane/curved objects with larger sizes than the grippers. Moreover, the soft gripper can realize omnidirectional crawling and swimming by itself. The soft gripper can perform highly integrated tasks of releasing, crawling, swimming, grasping, and retrieving objects in a confined underwater environment. Experimental results demonstrate that the integrated capabilities of multimodal adaptive grasping and omnidirectional motions enable dexterous manipulations that traditional robotic arms cannot achieve. The soft gripper may apply to highly integrated and labor-intensive tasks in unstructured underwater environments, including ocean litter collecting, capture fishery, and archeological exploration.

Reticular Origami Soft Robotic Gripper for Shape-Adaptive and Bistable Rapid Grasping.

The top-down approach in designing and fabricating origami robots could achieve far more complicated functions with compliant and elegant designs than traditional robots. This study presents the design, fabrication, and testing of a reticular origami soft robotic gripper that could adapt to the shape of the grasping subject and grasp the subject within 80 ms from the trigger instance. A sensing mechanism consisting of the resistive pressure sensor array and flexible elongation sensor is designed to validate further the shape-adaptive grasping capability and model the rough shape and size of the subject. The grasping test on various objects with different shapes, surface textures, sizes, and living animals further validates the excellent grasping capabilities of the gripper. The gripper could be either actively triggered by actuation or passively triggered by a minimum of 0.0014 J disturbance energy. Such features make it particularly suitable for applications such as capturing underwater creatures and illegal drone control.

Long-term effects of air quality on hospital readmission for heart failure in patients with acute myocardial infarction.

BACKGROUND: Cardiovascular disease (CVD) is the leading cause of death worldwide, with air pollution posing significant risks to cardiovascular health. The effect of air quality on heart failure (HF) readmission in acute myocardial infarction (AMI) patients is unclear.The aim of this study was to evaluate the role of a single measure of air pollution exposure collected on the day of first hospitalization. METHODS: We retrospectively analyzed data from 12,857 acute coronary syndrome (ACS) patients (January 2015-March 2023). After multiple screenings, 4023 AMI patients were included. The air pollution data is updated by the automatic monitoring data of the national urban air quality monitoring stations in real time and synchronized to the China Environmental Monitoring Station. Cox proportional hazards regression assessed the impact of air quality indicators on admission and outcomes in 4013 AMI patients. A decision tree model identified the most susceptible groups. RESULTS: After adjusting for confounders, NO2 (HR 1.009, 95% CI 1.004-1.015, P = 0.00066) and PM10 (HR 1.006, 95% CI 1.002-1.011, P = 0.00751) increased the risk of HF readmission in ST-segment elevation myocardial infarction (STEMI) patients. No significant effect was observed in non-STEMI (NSTEMI) patients (P > 0.05). STEMI patients had a 2.8-fold higher risk of HF readmission with NO2 > 13 µg/m3 (HR 2.857, 95% CI 1.439-5.670, P = 0.00269) and a 1.65-fold higher risk with PM10 > 55 µg/m3 (HR 1.654, 95% CI 1.124-2.434, P = 0.01064). CONCLUSION: NO2 and PM10 are linked to increased HF readmission risk in STEMI patients, particularly when NO2 exceeds 13 µg/m3 and PM10 exceeds 55 µg/m3. Younger, less symptomatic male STEMI patients with fewer underlying conditions are more vulnerable to these pollutants.

Interrelationships among abnormal P-wave axis, metabolic syndrome and its components, and mortality in US adults.

BACKGROUND: Metabolic syndrome (MetS) is associated with increased rates of cardiovascular disease and mortality and is linked to abnormal electrocardiogram (ECG) parameters. We aimed to explore the relationships and interactions among MetS and its components, abnormal P-wave axis (aPWA), and mortality rates. METHODS: We analyzed data from 7526 adult participants with sinus rhythm recruited from the National Health and Nutrition Examination Survey III. MetS was classified based on the NCEP ATP III-2005 definition. aPWA included all P-wave axis outside 0-75°. The National Death Index was utilized to identify survival status. Hazard ratios (HRs) and 95% confidence intervals (CIs) categorized by aPWA, MetS, and their components were analyzed using Cox proportional hazards models to investigate all-cause and cardiovascular mortalities. RESULTS: Within a median follow-up period of 20.76 years, 4686 deaths were recorded, of which 1414 were attributable to cardiovascular disease. Participants with both MetS and aPWA had higher all-cause (HR: 1.45, 95% CI: 1.29-1.64, interaction P = 0.043) and cardiovascular (HR: 1.36, 95% CI: 1.02-1.79, interaction P-value = 0.058) mortality rates than participants without MetS and with a normal P-wave axis. Participants with the greatest number of MetS components and aPWA had a higher risk of all-cause mortality (HR: 1.70, 95% CI: 1.13-2.55, P = 0.011). CONCLUSIONS: Individuals with both aPWA and MetS have a higher risk of mortality, and those with a greater number of MetS components and aPWA have a higher risk of all-cause mortality. These findings highlight the significance of integrating ECG characteristics with metabolic health status in clinical assessment.

Development and validation of a prognostic model for predicting post-discharge mortality risk in patients with ST-segment elevation myocardial infarction (STEMI) undergoing primary percutaneous coronary intervention (PPCI).

BACKGROUND: Accurately predicting post-discharge mortality risk in patients with ST-segment elevation myocardial infarction (STEMI) undergoing primary percutaneous coronary intervention (PPCI) remains a complex and critical challenge. The primary objective of this study was to develop and validate a robust risk prediction model to assess the 12-month and 24-month mortality risk in STEMI patients after hospital discharge. METHODS: A retrospective study was conducted on 664 STEMI patients who underwent PPCI at Xiangtan Central Hospital Chest Pain Center between 2020 and 2022. The dataset was randomly divided into a training cohort (n = 464) and a validation cohort (n = 200) using a 7:3 ratio. The primary outcome was all-cause mortality following hospital discharge. The least absolute shrinkage and selection operator (LASSO) regression model was employed to identify the optimal predictive variables. Based on these variables, a regression model was constructed to determine the significant predictors of mortality. The performance of the model was evaluated using receiver operating characteristic (ROC) curve analysis and decision curve analysis (DCA). RESULTS: The prognostic model was developed based on the LASSO regression results and further validated using the independent validation cohort. LASSO regression identified five important predictors: age, Killip classification, B-type natriuretic peptide precursor (NTpro-BNP), left ventricular ejection fraction (LVEF), and the usage of angiotensin-converting enzyme inhibitors/angiotensin receptor blockers/angiotensin receptor-neprilysin inhibitors (ACEI/ARB/ARNI). The Harrell's concordance index (C-index) for the training and validation cohorts were 0.863 (95% CI: 0.792-0.934) and 0.888 (95% CI: 0.821-0.955), respectively. The area under the curve (AUC) for the training cohort at 12 months and 24 months was 0.785 (95% CI: 0.771-0.948) and 0.812 (95% CI: 0.772-0.940), respectively, while the corresponding values for the validation cohort were 0.864 (95% CI: 0.604-0.965) and 0.845 (95% CI: 0.705-0.951). These results confirm the stability and predictive accuracy of our model, demonstrating its reliable discriminative ability for post-discharge all-cause mortality risk. DCA analysis exhibited favorable net benefit of the nomogram. CONCLUSION: The developed nomogram shows potential as a tool for predicting post-discharge mortality in STEMI patients undergoing PPCI. However, its full utility awaits confirmation through broader external and temporal validation.

Sex-specific impact of mild obesity on the prognosis of ST-segment elevation myocardial infarction.

This study aimed to clarify the existence of the mild obesity paradox in patients with ST-segment elevation myocardial infarction (STEMI) and assess the impact of mild obesity on the prognosis of STEMI. A retrospective cohort study was conducted on STEMI patients who underwent percutaneous coronary intervention at Xiangtan Central Hospital from January 1, 2020 to July 31, 2022. After excluding individuals with a body mass index (BMI) of no less than 35 kg/m2, subjects were divided into the mildly obese group (BMI, 30-35 kg/m2) and non-obese group (BMI < 30 kg/m2). The cardiovascular events and death were deemed the composite endpoints and were employed as the outcome event. The study recruited 664 patients with STEMI, including 515 males and 149 females. The mildly obese group of male patients exhibited a lower incidence of composite endpoints than the non-obese group (22.4% vs. 41.3%, P < 0.001). For female patients, no significant difference was observed in the incidence of composite endpoints between the two groups (43.6% vs. 43.8%, P = 0.987). After adjusting for confounding factors, the multivariable Cox regression analysis revealed mild obesity as an independent protective factor for male patients [hazard ratio (HR) 0.47; 95% confidence interval (CI) 0.32-0.69; P < 0.001]. Nevertheless, mild obesity was not associated with the prognosis of female patients (HR 0.96; 95% CI 0.47-1.94; P = 0.9). In male STEMI patients, mild obesity presented a paradoxical effect in improving the prognosis and functioned as an independent protective factor for the prognosis of STEMI. However, no association between mild obesity and prognosis was found in female patients, possibly due to distinct physiological and metabolic characteristics between male and female patients, which deserved further investigation and validation.

Association between the cardiometabolic index and chronic kidney disease: a cross-sectional study.

BACKGROUND: Central obesity is a risk factor for chronic kidney disease (CKD). However, the exact correlation between the cardiometabolic index (CMI), an indicator of central obesity, and CKD remains unclear. Here, we aimed to investigate the correlation between the CMI and CKD in the general American population. METHODS: This cross-sectional study involved 64,313 members of the general population (≥ 20 years of age) with data in the National Health and Nutrition Examination Survey (NHANES) 1999-2020. The individuals were grouped into three categories by CMI tertile: T1 group (n = 7,029), T2 group (n = 7,356), and T3 group (n = 7,380). Logistic regression analysis was performed, with NHANES recommended weights, to assess the association between the CMI and CKD. RESULTS: A total of 21,765 participants were included; the overall prevalence of CKD was 12.2%. From the low to the high CMI tertile, the prevalence of CKD increased from 8.9% to 16.0% (P < 0.001). After full adjustment for confounders, the higher tertile of CMI (OR: 1.08, 95% CI: 1.03 - 1.13, P = 0.002) had the higher risk of CKD. Compared with the T1 group, the groups with higher CMI levels had a higher CKD risk (T2: OR: 1.01, 95%CI: 0.87-1.18, P = 0.812; T3: OR: 1.22, 95%CI: 1.05-1.43, P = 0.013). CONCLUSIONS: Higher CMI was independently associated with higher CKD risk in the general population.

Prognostic impact of lung ultrasound detected B-lines on hospitalised ischaemic heart failure with mildly reduced ejection fraction patients.

OBJECTIVES: Prognostic impact of lung ultrasound-derived B-lines (LUS-BL) in heart failure with mildly reduced left ventricular ejection fraction (HFmrEF) patients remains elusive. We evaluated the correlation between LUS-BL and prognosis in HFmrEF patients. METHODS: This is a subgroup analysis based on our previously published retrospective study with 1691 HFmrEF patients. This subgroup analysis involved 574 patients with LUS-BL results at admission. After discharge, patients underwent clinical follow-up for a minimum of 1 year through telephone, clinical visits or community visits. The primary endpoint was defined as cardiovascular (CV) event, including CV-related mortality or HF hospitalisation at 90 days and 1 year after discharge. RESULTS: CV event at 90 days was significantly increased with higher LUS-BL number (0, 1-2, 3-9 and ≥10: 20%, 14%, 18% and 33%, p=0.008), while CV event rate at 1 year was similar among groups (45% vs 45% vs 42% vs 50%, p=0.573). Older age, hypertension (HR=2.06, 95% CI 1.31 to 3.25), higher right ventricular diameter (>23 mm, HR=2.008, 95% CI 1.37 to 2.94), increased ratio of early transmitral flow velocity to early mitral annular velocity (>24, HR=1.79, 95% CI 1.11 to 2.26) and higher LUS-BL number (>11, HR=1.510, 95% CI 1.01 to 2.26) were identified as independent determinants associated with increased risk of CV event at 90 days after discharge. The Harrell's C-Statistic analysis, based on the Cox regression models, demonstrated a significant improvement in the predictive ability of the model that incorporated both clinical and echocardiographic risk factors along with LUS-BL (areas under the curve (AUC)=0.72) compared with the model comprising only clinical risk factors and LUS-BL (AUC=0.69, p=0.036), or to the model with echocardiographic risk factors and LUS-BL (AUC=0.68, p=0.025). CONCLUSION: In HFmrEF patients with ischaemic heart disease, admission LUS-BL>11 is independently associated with an increased risk of CV event at 90 days following discharge.

Mendelian Randomization Study of Lipid Metabolites Reveals Causal Associations with Heel Bone Mineral Density.

BACKGROUND: Osteoporosis, which is a bone disease, is characterized by low bone mineral density and an increased risk of fractures. The heel bone mineral density is often used as a representative measure of overall bone mineral density. Lipid metabolism, which includes processes such as fatty acid metabolism, glycerol metabolism, inositol metabolism, bile acid metabolism, carnitine metabolism, ketone body metabolism, sterol and steroid metabolism, etc., may have an impact on changes in bone mineral density. While some studies have reported correlations between lipid metabolism and heel bone mineral density, the overall causal relationship between metabolites and heel bone mineral density remains unclear. OBJECTIVE: to investigate the causal relationship between lipid metabolites and heel bone mineral density using two-sample Mendelian randomization analysis. METHODS: Summary-level data from large-scale genome-wide association studies were extracted to identify genetic variants linked to lipid metabolite levels. These genetic variants were subsequently employed as instrumental variables in Mendelian randomization analysis to estimate the causal effects of each lipid metabolite on heel bone mineral density. Furthermore, metabolites that could potentially be influenced by causal relationships with bone mineral density were extracted from the KEGG and WikiPathways databases. The causal associations between these downstream metabolites and heel bone mineral density were then examined. Lastly, a sensitivity analysis was conducted to evaluate the robustness of the results and address potential sources of bias. RESULTS: A total of 130 lipid metabolites were analyzed, and it was found that acetylcarnitine, propionylcarnitine, hexadecanedioate, tetradecanedioate, myo-inositol, 1-arachidonoylglycerophosphorine, 1-linoleoylglycerophoethanolamine, and epiandrosterone sulfate had a causal relationship with heel bone mineral density (p < 0.05). Furthermore, our findings also indicate an absence of causal association between the downstream metabolites associated with the aforementioned metabolites identified in the KEGG and WikiPathways databases and heel bone mineral density. CONCLUSION: This work supports the hypothesis that lipid metabolites have an impact on bone health through demonstrating a causal relationship between specific lipid metabolites and heel bone mineral density. This study has significant implications for the development of new strategies to osteoporosis prevention and treatment.

Impact of signs and symptoms on the prognosis of patients with HFmrEF.

BACKGROUND: Worsening of heart failure (HF) symptoms is the leading cause of medical contact and hospitalization of patients with mildly reduced ejection fraction (HFmrEF). The prognostic value of signs and symptoms for patients with HFmrEF is currently unclear. This study investigated the prognostic impact of signs and symptoms in HFmrEF patients. METHODS: A Cox proportional risk regression model analyzed the relationship between the number of signs/symptoms and outcomes in 1691 hospitalized HFmrEF patients. Ten significant signs and symptoms were included. Patients were divided into three groups (A: ≤2, B: 3-5, C: ≥6 signs/symptoms). Stratified analysis on male and female patients was performed. The primary endpoint was all-cause mortality, and the secondary outcome was a composite of cardiovascular death and heart failure readmission (CV events) post-discharge. RESULTS: After a median follow-up of 33 months, all-cause mortality occurred in 457 patients and CV events occurred in 977 patients. Incidence of all-cause mortality was 20.7%, 32.3%* and 49.4%*† in group A, B and C of male patients, (*P < 0.05 vs. A, †P < 0.05 vs. B) and 18.8%, 33.6% and 55.8%* in group A, B and C of female patients. Incidence of CV events was 64.8%, 70.1%* and 87.5%* in group A, B and C of male patients, 61.9%, 75.3%, and 86.1%* in group A, B and C of female patients. Multivariate Cox regression showed older age, renal insufficiency, higher number of signs and symptoms (≥ 3, hazard ratio [HR] 1.317, 95% confidence interval [CI] 1.070-1.621, P = 0.009; ≥6, HR 1.982, 95% CI 1.402-2.801, P < 0.001), myocardial infarction, stroke, faster heart rate on admission, and diabetes were independently associated with all-cause mortality(all P < 0.05). Similarly, higher number of signs and symptoms (≥ 3, HR 1.271, 95% CI 1.119-1.443, P < 0.001; ≥6, HR 1.955, 95% CI 1.524-2.508, P < 0.001), older age, renal insufficiency, atrial fibrillation, and diabetes were independently associated with cardiovascular events (all P < 0.05). CONCLUSIONS: Higher number of symptoms and signs is associated with increased risk of all-cause mortality and CV events in HFmrEF patients. Our results highlight the prognostic importance of careful inquiry on HF symptoms and related physical examination in HFmrEF patients.

Red blood cell count and risk of adverse outcomes in patients with mildly reduced left ventricular ejection fraction.

BACKGROUND: Anemia is associated with increased rates of heart failure (HF)-related mortality and hospitalization. No studies have focused on the association between the red blood cell (RBC) count and the prognosis of patients with HF with mildly reduced left ventricular ejection fraction (HFmrEF). We retrospectively analyzed the effect of the RBC count on outcome events in patients with HFmrEF. METHODS: We investigated the association of the RBC count with outcome events in 1691 patients with HFmrEF (mean age: 68 years; 35% female) in Xiangtan Central Hospital. Using Cox proportional hazards models, the RBC count was assessed as both a continuous and categorical variable. RESULTS: During follow-up (median: 33 months), cardiovascular death occurred in 168 patients (114 men and 54 women). After adjusting for established risk factors, each 1.0 × 1012 cell/L increase in the RBC count was associated with a 28% lower risk of cardiovascular death in men and a 43% lower risk in women. Patients with low RBC counts had a 0.5-fold higher risk of cardiovascular death than those with normal RBC counts. The hazard ratio for men was 1.42 (95% confidence interval [CI]: 1.07-1.89), and the hazard ratio for women was 1.79 (95% CI: 1.20-2.67). The RBC count was not significantly associated with the composite endpoint of cardiovascular death and HF readmission (cardiovascular events) (p > .05). CONCLUSIONS: A decreased RBC count is associated with increased cardiovascular mortality in patients with HFmrEF. Correcting a low RBC count might potentially reduce the risk of cardiovascular death in patients with HFmrEF.

Impact of atrial fibrillation on cerebro-cardiovascular outcome of heart failure with mildly-reduced ejection fraction.

AIMS: Atrial fibrillation (AF) and heart failure (HF) often co-exist and are closely intertwined. The impact of AF on the outcome of patients with heart failure with mildly-reduced ejection fraction (HFmrEF) is not fully clear. This study aimed to investigate the impact of AF on the outcomes of hospitalized HFmrEF patients. METHODS AND RESULTS: The study included 1691 consecutive patients with HFmrEF (mean 68.2 years, 64.8% male) including 296 AF patients. Patients completed 1 year and mean of 33 month clinical follow-up after discharge by telephone interview, clinical visit, or community visit. The primary endpoint was cerebro-cardiovascular events (CCE, composite of HF rehospitalization, stroke, or cardiovascular death). After propensity score matching, 296 patients were included into the AF group (mean 71.5 years) and 592 patients into the non-AF group (mean 70.6 years). After propensity score matching, CCE at 1 year (59.1% vs. 48.5%, P = 0.003) and at a mean of 33 month (77.0% vs. 70.6%, P = 0.043). AF was independently associated with increased CCE within 1 year (HR = 1.31, 95% CI 1.07 to 1.61, P = 0.010) and at 33 months (HR = 1.20, 95% CI 1.00 to 1.43, P = 0.050) post-discharge after adjusted for other clinical confounders including discharge heart rate, NT-proBNP, haemoglobin, and uric acid. CONCLUSIONS: AF is independently associated with an increased risk of CCE in HFmrEF patients within 1 year and at a mean of 33 months after discharge.

Sex differences in patients with heart failure and mildly reduced left ventricular ejection fraction.

Clinical studies on heart failure with mildly reduced left ventricular ejection fraction (HFmrEF) have gradually increased. However, studies on the prognostic differences between men and women among patients with HFmrEF are few, and no evidence on sex differences in such patients exists. Therefore, we retrospectively assessed the data of patients with HFmrEF using propensity score-matched analysis (PSMA). A total of 1691 patients with HFmrEF were enrolled in the Outcome of Discharged HFmrEF Patients study (OUDI-HF study), which included 1095 men and 596 women. After propensity score matching, we compared the difference in cardiovascular (CV) events (cardiovascular death or heart failure readmission) and all-cause mortality at 90 days and 1 year after discharge between men and women using Kaplan-Meier analysis and Cox regression. After PSMA, men with HFmrEF were 2.2 times more likely to die at 90 days than women with HFmrEF [hazard ratio (HR) 1.88; 95% confidence interval (95% CI) 1.03-3.46; P = 0.041]. However, there was no difference in the 90-day CV events (HR 0.96; 95% CI 0.75-1.22; P = 0.718). Similarly, there was no difference in all-cause mortality (HR 1.16; 95% CI 0.81-1.65; P = 0.417) and CV events (HR 0.98; 95% CI 0.83-1.16; P = 0.817) between men and women after 1 year. Among the patients with HFmrEF, men had a higher 90-day risk of all-cause mortality than women after hospital discharge, and this risk disappeared after 1 year.Clinical Trial Registration: URL: http://www.clinicaltrials.gov . Unique identifier: NCT05240118 (ESC Heart Failure. (2022). doi: https://doi.org/10.1002/ehf2.14044 ).

The landscape of m1A modification and its posttranscriptional regulatory functions in primary neurons.

Cerebral ischaemia‒reperfusion injury (IRI), during which neurons undergo oxygen-glucose deprivation/reoxygenation (OGD/R), is a notable pathological process in many neurological diseases. N1-methyladenosine (m1A) is an RNA modification that can affect gene expression and RNA stability. The m1A landscape and potential functions of m1A modification in neurons remain poorly understood. We explored RNA (mRNA, lncRNA, and circRNA) m1A modification in normal and OGD/R-treated mouse neurons and the effect of m1A on diverse RNAs. We investigated the m1A landscape in primary neurons, identified m1A-modified RNAs, and found that OGD/R increased the number of m1A RNAs. m1A modification might also affect the regulatory mechanisms of noncoding RNAs, e.g., lncRNA-RNA binding proteins (RBPs) interactions and circRNA translation. We showed that m1A modification mediates the circRNA/lncRNA‒miRNA-mRNA competing endogenous RNA (ceRNA) mechanism and that 3' untranslated region (3'UTR) modification of mRNAs can hinder miRNA-mRNA binding. Three modification patterns were identified, and genes with different patterns had intrinsic mechanisms with potential m1A-regulatory specificity. Systematic analysis of the m1A landscape in normal and OGD/R neurons lays a critical foundation for understanding RNA modification and provides new perspectives and a theoretical basis for treating and developing drugs for OGD/R pathology-related diseases.

Impact of chest pain center quality control indicators on mortality risk in ST-segment elevation myocardial infarction patients: a study based on Killip classification.

Background: Despite the crucial role of Chest pain centers (CPCs) in acute myocardial infarction (AMI) management, China's mortality rate for ST-segment elevation myocardial infarction (STEMI) has remained stagnant. This study evaluates the influence of CPC quality control indicators on mortality risk in STEMI patients receiving primary percutaneous coronary intervention (PPCI) during the COVID-19 pandemic. Methods: A cohort of 664 consecutive STEMI patients undergoing PPCI from 2020 to 2022 was analyzed using Cox proportional hazards regression models. The cohort was stratified by Killip classification at admission (Class 1: n = 402, Class ≥2: n = 262). Results: At a median follow-up of 17 months, 35 deaths were recorded. In Class ≥2, longer door-to-balloon (D-to-B) time, PCI informed consent time, catheterization laboratory activation time, and diagnosis-to-loading dose dual antiplatelet therapy (DAPT) time were associated with increased mortality risk. In Class 1, consultation time (notice to arrival) under 10 min reduced death risk. In Class ≥2, PCI informed consent time under 20 min decreased mortality risk. Conclusion: CPC quality control metrics affect STEMI mortality based on Killip class. Key factors include time indicators and standardization of CPC management. The study provides guidance for quality care during COVID-19.

Obesity increases cardiovascular mortality in patients with HFmrEF.

Background: High body mass index increases the risk of heart failure morbidity and mortality. It is unclear whether a high body mass index is associated with prognosis in patients with heart failure with mildly reduced left ventricular ejection fraction (HFmrEF). We retrospectively analyzed the effect of a high body mass index on the prognosis of patients with HFmrEF. Methods: We investigated the association between body mass index and cardiovascular death (death from any cardiovascular mechanism) in 1,691 HFmrEF patients (mean age, 68 years; 35% female) in Xiangtan Central Hospital. Using Cox proportional hazards models, body mass index was assessed as a continuous and a categorical variable. Results: Cardiovascular death occurred in 133 patients (82 males and 51 females) after 1 year of follow-up. After adjustment for established risk factors, there was a 7.5% increase in the risk of cardiovascular death for females for each increment of 1 in BMI. In contrast, changes in male body mass index were not significantly associated with cardiovascular death (P = 0.097). Obese subjects had a 1.8-fold increased risk of cardiovascular death compared with subjects with a normal body mass index. The hazard ratio for females was 2.163 (95% confidence interval: 1.150-4.066). Obesity was not significantly associated with cardiovascular death in males (P = 0.085). Conclusion: An increased body mass index is associated with an increased risk of cardiovascular death in patients with HFmrEF; however, this risk was mainly associated with female patients with HFmrEF and less with male patients with HFmrEF.