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Abstract Background Alcohol-related liver disease (ALD) and cardiovascular diseases share some common risk factors. This study aims to investigate the associations between Life’s Essential 8 (LE8), a comprehensive measure of cardiovascular health (CVH), and outcomes of ALD. Methods Data were obtained from the 2011–2018 National Health and Nutrition Examination Survey (NHANES). Cox proportional hazards models were employed to assess the relationships between LE8 and all-cause and cardiovascular mortality in patients with ALD. Additionally, restricted cubic splines (RCS), piecewise regression, and subgroup analyses were conducted. Results A total of 5321 ALD patients were included in this study with a mean LE8 score of 67.38. During a median follow-up period of 63 months, 228 all-cause deaths were recorded. After adjusting for potential confounders, the risk of all-cause mortality in the high CVH group decreased by 53.7% compared to the low CVH group (HR = 0.463, 95%CI = 0.223–0.965). The result was robust in subgroup analyses. The RCS analysis indicated a non-linear relationship between LE8 and cardiovascular mortality, showing that the risk of cardiovascular mortality decreased with increasing LE8 scores for values below 71.12 (HR = 0.949, 95% CI = 0.915–0.984). Conclusions LE8 score is inversely and linearly linked to all-cause mortality in ALD patients. Promoting adherence to optimal cardiovascular health may unveil additional strategies for the effective management of ALD patients and contribute to reducing their long-term mortality.

Abstract After recognizing its ligand lipopolysaccharide, Toll-like receptor 4 (TLR4) recruits adaptor proteins to the cell membrane, thereby initiating downstream signaling and triggering inflammation. Whether this recruitment of adaptor proteins is dependent solely on protein-protein interactions is unknown. Here, we report that the sphingolipid sphinganine physically interacts with the adaptor proteins MyD88 and TIRAP and promotes MyD88 recruitment in macrophages. Myeloid cell-specific deficiency in serine palmitoyltransferase long chain base subunit 2, which encodes the key enzyme catalyzing sphingolipid biosynthesis, decreases the membrane recruitment of MyD88 and inhibits inflammatory responses in in vitro bone marrow-derived macrophage and in vivo sepsis models. In a melanoma mouse model, serine palmitoyltransferase long chain base subunit 2 deficiency decreases anti-tumor myeloid cell responses and increases tumor growth. Therefore, sphinganine biosynthesis is required for the initiation of TLR4 signal transduction and serves as a checkpoint for macrophage pattern recognition in sepsis and melanoma mouse models.

Abstract The limited surface coverage and activity of active hydrides on oxide surfaces pose challenges for efficient hydrogenation reactions. Herein, we quantitatively distinguish the long-puzzling homolytic dissociation of hydrogen from the heterolytic pathway on Ga2O3, that is useful for enhancing hydrogenation ability of oxides. By combining transient kinetic analysis with infrared and mass spectroscopies, we identify the catalytic role of coordinatively unsaturated Ga3+ in homolytic H2 dissociation, which is formed in-situ during the initial heterolytic dissociation. This site facilitates easy hydrogen dissociation at low temperatures, resulting in a high hydride coverage on Ga2O3 (H/surface Ga3+ ratio of 1.6 and H/OH ratio of 5.6). The effectiveness of homolytic dissociation is governed by the Ga-Ga distance, which is strongly influenced by the initial coordination of Ga3+. Consequently, by tuning the coordination of active Ga3+ species as well as the coverage and activity of hydrides, we achieve enhanced hydrogenation of CO2 to CO, methanol or light olefins by 4-6 times.

The past decade has seen a sharp increase in machine learning (ML) applications in scientific research. This review introduces the basic constituents of ML, including databases, features, and algorithms, and highlights a few important achievements in chemistry that have been aided by ML techniques. The described databases include some of the most popular chemical databases for molecules and materials obtained from either experiments or computational calculations. Important two-dimensional (2D) and three-dimensional (3D) features representing the chemical environment of molecules and solids are briefly introduced. Decision tree and deep learning neural network algorithms are overviewed to emphasize their frameworks and typical application scenarios. Three important fields of ML in chemistry are discussed: ① retrosynthesis, in which ML predicts the likely routes of organic synthesis; ② atomic simulations, which utilize the ML potential to accelerate potential energy surface sampling; and ③ heterogeneous catalysis, in which ML assists in various aspects of catalytic design, ranging from synthetic condition optimization to reaction mechanism exploration. Finally, a prospect on future ML applications is provided.

Abstract Background Abdominal aortic aneurysm (AAA) is a fatal disease due to the tendency to rupture. The drug treatment for small AAA without surgical indications has been controversial. Previous studies showed that high-sensitivity C-reactive protein (hs-CRP) had become a potential biomarker of the disease, and the anti-inflammatory effect of rivaroxaban for AAA had been well established. Thus, we hypothesized that rivaroxaban could control the progression of AAA in patients with hs-CRP elevation. Methods The study is a prospective, open-label, randomized, controlled clinical trial. Sixty subjects are recruited from the General Hospital of Northern Theatre Command of China. Subjects are randomly assigned (1:1) to the intervention arm (rivaroxaban) or control arm (aspirin). The primary efficacy outcome is the level of serum hs-CRP at 6 months. The secondary outcomes include imaging examination (the maximal diameter of AAA, the maximal thickness of mural thrombus, and the length of aneurysm), major adverse cardiovascular and cerebrovascular events (MACCE, including AAA transformation, non-fatal myocardial infarction, acute congestive heart failure, stent thrombosis, ischemia-driven target vessel revascularization, vascular amputation, stroke, cardiovascular death, and all-cause death), and other laboratory tests (troponin T, interleukin 6, D-dimer, and coagulation function). Discussion The BANBOO trial tested the effect of rivaroxaban on the progression of AAA in patients with elevated Hs-CRP for the first time. Trial registration ChiCTR2100051990, ClinicalTrials.gov, registered on 12 October 2021.

Objective:. Data comparing the outcomes of MiStent (Micell Technologies, Durham, North Carolina, USA) microcrystalline biodegradable polymer (BP) drug-eluting stent (DES) and those of another post-marketing BP-DES, TIVOLI (EssenTech, Beijing, China) are rare. This study sought to compare the angiographic efficacy and clinical outcomes of the microcrystalline BP sirolimus-eluting stent (SES) system MiStent and those of TIVOLI BP-SES. Methods:. The DESSOLVE-C trial was a prospective, single-blinded, multicenter, randomized trial (NCT02448524), which randomly assigned patients with de novo coronary lesions to receive MiStent or TIVOLI BP-SES by a 1:1 ratio. The primary endpoint was a non-inferiority comparison of in-stent late lumen loss (LLL) by quantitative coronary angiography at 9 months. The secondary endpoint was device-related clinical cardiovascular composite events (target lesion failure (TLF), composite of cardiac death, target vessel myocardial infarction (MI), and clinically driven target lesion revascularization) and 1-year outcomes. Results:. A total of 428 patients (216 patients in the MiStent group and 212 patients in the TIVOLI group) were enrolled and included in an intention-to-treat analysis. MiStent was not only non-inferior but superior to TIVOLI for in-stent LLL at 9 months ((0.23 ± 0.37) mm vs. (0.34 ± 0.48) mm, P for non-inferiority

The atomic structure of heterogeneous catalysts is usually a blackbox. Here the authors demonstrate large-scale machine learning atomic simulations help to resolve the catalyst structure and reaction mechanism of encapsulated PtSnO x clusters in zeolite that feature a mortise-and-tenon joinery structure and the superior activity towards propane dehydrogenation.

BackgroundThe relationship between the systemic immune inflammatory index (SII) and the prognosis of hypertensive patients is unclear. This study aims to explore the association of SII with all-cause and cause-specific mortality in patients with hypertension.MethodsThis study included 8524 adults with hypertension from the National Health and Nutritional Examination Surveys (NHANES) 2011–2018, and followed for survival through December 31, 2019. Cox proportional hazards models were used to investigate the associations between SII and mortality from all causes, cardiovascular disease (CVD), and cancer. Restricted cubic spline, piecewise linear regression, subgroup and sensitivity analyses were also used.ResultsDuring a median follow-up of 4.58 years, 872 all-cause deaths occurred. After adjusting for covariates, higher SII was significantly associated with an elevated risk of CVD mortality. There was a 102% increased risk of CVD mortality per one-unit increment in natural log-transformed SII (lnSII) (P < 0.001). Consistent results were also observed when SII was examined as categorical variable (quartiles). The associations of SII with all-cause and cancer mortality were detected as U-shaped with threshold values of 5.97 and 6.18 for lnSII respectively. Below thresholds, higher SII was significantly associated with lower all-cause mortality (HR=0.79, 95%CI=0.64-0.97) and cancer mortality (HR=0.73, 95%CI=0.53-1.00). Above thresholds, SII was significantly positive associated with all-cause mortality (HR=1.93, 95%CI=1.55-2.40) and cancer mortality (HR=1.93, 95%CI=1.22-3.05). The results were robust in subgroup and sensitivity analyses.ConclusionHigher SII (either as a continuous or categorical variable) were significantly associated with a higher risk of CVD mortality. The U-shaped associations were observed between SII and all-cause and cancer mortality.

BackgroundThe role of fibroblast growth factor 21 (FGF21) in predicting the long-term prognosis of patients with cardiovascular disease (CVD) remains unknown.MethodsA comprehensive search in PubMed, Embase, and the Cochrane Library was performed to identify studies reporting the association between FGF21 and prognosis among patients with CVD. A meta-analysis was performed, with patients stratified by coronary artery disease (CAD) or heart failure (HF). The endpoint of CAD or HF was major adverse cardiovascular events defined by each study and a composite of death or HF readmission, respectively. The I2 method and linear regression test of funnel plot asymmetry were used to test heterogeneity (I2 > 50% indicates substantial heterogeneity) and publication bias (asymmetry P < 0.05, indicating publication bias).ResultsA total of 807 records were retrieved, and nine studies were finally included. Higher FGF21 levels were significantly associated with the risk of major adverse cardiovascular events in patients with CAD (multivariate hazard ratio [HR]: 1.77, 95% confidence interval [CI]: 1.40–2.23, P < 0.05, I2 = 0%, fixed-effect model). Increased FGF21 levels were also associated with the risk of all-cause death among patients with CAD (multivariate HR: 2.67, 95% CI: 1.25–5.72, P < 0.05, I2 = 64%, random-effect model). No association was found between FGF21 and the endpoint among patients with HF (HR: 1.57, 95% CI: 0.99–2.48, P > 0.05, random-effect model), but a large heterogeneity (I2 = 95%) and potential publication bias (Asymmetry P < 0.05) existed in the analysis.ConclusionIncreased FGF21 levels were independently associated with poor prognosis of CAD, whereas the role of FGF21 in predicting clinical outcomes of HF requires further investigation.

AimsTo investigate cardiac pathology in critically ill patients with coronavirus disease 2019 (COVID-19) and identify associations between pathological changes and clinical characteristics.MethodsThe present autopsy cohort study included hearts from 26 deceased patients hospitalized in intensive care units due to COVID-19, and was conducted at four sites in Wuhan, China. Cases were divided into a neutrophil infiltration group and a no-neutrophil group based on the presence or absence of histopathologically identified neutrophilic infiltrates.ResultsAmong the 26 patients, histopathological examination identified active myocarditis in four patients. All patients with myocarditis exhibited extensive accompanying neutrophil infiltration, and all patients without myocarditis did not. The neutrophil infiltration group exhibited significantly higher rates of detection of interleukin-6 (100 vs. 4.6%) and tumor necrosis factor-alpha (100 vs. 31.8%) than the no-neutrophil group (both p < 0.05). On admission, four patients with neutrophil infiltration in myocardium had significantly higher baseline levels of aspartate aminotransferase, D dimer, and high-sensitivity C reactive protein than the other 22 patients (all p < 0.05). During hospitalization, patients with neutrophil infiltration had significantly higher maximum creatine kinase-MB (median 280.0 IU/L vs. 38.7 IU/L, p = 0.04) and higher troponin I (median 1.112 ng/ml vs. 0.220 ng/ml, p = 0.56) than patients without neutrophil infiltration.ConclusionActive myocarditis was frequently associated with neutrophil infiltration in the hearts of deceased patients with severe COVID-19. Patients with neutrophil-infiltrated myocarditis had a series of severely abnormal laboratory test results on admission, and high maximum creatine kinase-MB during hospitalization. The role of neutrophils in severe heart injury and systemic conditions in patients with COVID-19 should be emphasized.

BackgroundsThe clinical benefit of ticagrelor vs. clopidogrel in unselected patients with acute coronary syndrome (ACS) after percutaneous coronary intervention (PCI) remains controversial in the real world. This study was aimed to investigate the impact of ticagrelor vs. clopidogrel in subjects with ACS without atrial fibrillation or flutter (AF) after PCI based on risk stratification using the CHA2DS2-VASc score.MethodsIn 2016–2019, patients who underwent PCI with at least one stent implanted in the General Hospital of Northern Theater Command were classified as low- or high-risk groups according to the CHA2DS2-VASc score. Incidences of 12-month ischemia [cardiac death, myocardial infarction (MI), or stroke], all-cause death, Bleeding Academic Research Consortium (BARC) 2,3,5 bleeding, BARC 3,5 bleeding, and net adverse clinical events (NACEs) (all-cause death, MI, stroke, or BARC 3, 5 bleeding) with aspirin plus different P2Y12 inhibitors (clopidogrel or ticagrelor) were appraised among different risk groups. Propensity score matching (PSM) and Cox multivariate analysis were used to balance the groups.ResultsA total of consecutive 17,037 patients with ACS were enrolled. The optimal cut-off value of the CHA2DS2-VASc score for ischemic events by the Youden test was 3 points. Among patients with high risk (CHA2DS2-VASc ≥ 3, n = 6,151), ticagrelor was associated with slightly lower risks of ischemic events (2.29% vs. 3.54%, P = 0.02) and stroke (0.39% vs. 1.08%, P = 0.01) without excessive risk of BARC 3, 5 bleeding events (2.16% vs. 2.11%, P = 0.92) compared to clopidogrel within 12 months after PCI. For patients with low risk (CHA2DS2-VASc < 3, n = 10,886), a statistically significant difference was seen in the incidence of overall 12-month BARC 2, 3, 5 bleeding events by P2Y12 receptor inhibitor (4.00% vs. 3.26%) with a similar incidence of the ischemic events (1.40% vs. 1.52%). Results in the PSM cohort and the adjustment with Cox multivariate analysis were consistent with the main outcomes.ConclusionHigher CHA2DS2-VASc scores were associated with a higher incidence of 1-year ischemic events for the patients with ACS after PCI. Compared with clopidogrel, ticagrelor was associated with lower ischemic events within 12 months after PCI without excessive risk of bleeding in high-risk patients but shows poor safety with excess bleeding in low-risk patients.

Backgrounds: A plug-and-play standardized algorithm to identify the ischemic risk in patients with coronary artery disease (CAD) undergoing percutaneous coronary intervention (PCI) could play a valuable step to help a wide spectrum of clinic workers. This study intended to investigate the ability to use the accumulation of multiple clinical routine risk scores to predict long-term ischemic events in patients with CAD undergoing PCI.Methods: This was a secondary analysis of the I-LOVE-IT 2 (Evaluate Safety and Effectiveness of the Tivoli drug-eluting stent (DES) and the Firebird DES for Treatment of Coronary Revascularization) trial, which was a prospective, multicenter, and randomized study. The Global Registry for Acute Coronary Events (GRACE), baseline Synergy Between Percutaneous Coronary Intervention with Taxus and Cardiac Surgery (SYNTAX), residual SYNTAX, and age, creatinine, and ejection fraction (ACEF) score were calculated in all patients. Risk stratification was based on the number of these four scores that met the established thresholds for the ischemic risk. The primary end point was ischemic events at 48 months, defined as the composite of cardiac death, nonfatal myocardial infarction, stroke, or definite/probable stent thrombosis (ST).Results: The 48-month ischemic events had a significant trend for higher event rates (from 6.61 to 16.93%) with an incremental number of risk scores presenting the higher ischemic risk from 0 to ≥3 (p trend < 0.001). In addition, the categories were associated with increased risk for all components of ischemic events, including cardiac death (from 1.36 to 3.15%), myocardial infarction (MI) (from 3.31 to 9.84%), stroke (3.31 to 6.10%), definite/probable ST (from 0.58 to 1.97%), and all-cause mortality (from 2.14 to 6.30%) (all p trend < 0.05). The net reclassification index after combined with four risk scores was 12.5% (5.3–20.0%), 9.4% (2.0–16.8%), 12.1% (4.5–19.7%), and 10.7% (3.3–18.1%), which offered statistically significant improvement in the performance, compared with SYNTAX, residual SYNTAX, ACEF, and GRACE score, respectively.Conclusion: The novel multiple risk score model was significantly associated with the risk of long-term ischemic events in these patients with an increment of scores. A meaningful improvement to predict adverse outcomes when multiple risk scores were applied to risk stratification.

Introduction. Optimal anticoagulants for patients with diabetes mellitus (DM) undergoing percutaneous coronary intervention (PCI) are unclear. This retrospective observational study is aimed at evaluating efficacy and safety of bivalirudin versus unfractionated heparin (UFH) monotherapy in patients with DM undergoing PCI. Methods. A total of 3890 diabetic patients receiving PCI in the General Hospital of Northern Theater Command were divided into the bivalirudin group (n=869) and the UFH group (n=3021) according to different anticoagulant therapy regimens. Indication for PCI was in accordance with current guidelines including national cardiovascular data registry. The primary endpoint was 30-day net adverse clinical events (NACEs). The secondary endpoints included 30-day major adverse cardiac and cerebral events (MACCEs), bleeding events defined according to the Bleeding Academic Research Consortium (BARC) definition, and stent thrombosis (ST). Patients were matched by propensity score at a ratio of 1 : 1. Results. After propensity score matching, the bivalirudin group was associated with a lower incidence of NACEs (3.0% vs. 6.0%, P=0.003) than the UFH group. The incidence of MACCE (1.7% vs. 3.3%, P=0.033) was significantly lower in the bivalirudin group, mainly due to a lower mortality rate (0.6% vs. 2.0%, P=0.010). In addition, patients in the bivalirudin group had less bleeding (1.4% vs. 3.0%, P=0.022) than those in the UFH group, although BARC 2, 3, and 5 bleeding (0.1% vs. 0.6%, P=0.218) was numerically lower. Conclusion. In diabetic patients undergoing PCI, bivalirudin was significantly associated with reduced risks of 30-day NACE and MACCE, mainly driven by the lower rates of bleeding and mortality, compared with heparin monotherapy.

Background Gut microbiota (GM) dysbiosis is closely related to bone loss and the occurrence of osteoporosis in animals and human. However, little is known about the effect and the mechanisms of fecal microbiota transplantation (FMT) on bone in the treatment of senile osteoporosis. Methods Aged female rats were randomly divided into the FMT group and the control group. 3-month-old female rats were used as fecal donors. The rats were sacrificed at 12 and 24 weeks following transplantation and the serum, intestine, bone, and feces were collected for subsequent analyses. Results The bone turnover markers of osteocalcin, procollagen type 1 N-terminal propeptide (P1NP), and carboxy-terminal peptide (CTX) decreased significantly at 12 and 24 weeks following FMT (P < 0.05). At 12 weeks following transplantation, histomorphometric parameters including the bone volume (BV), trabecular bone volume fraction (BV/TV), trabecular number (Tb.N), and trabecular thickness (Tb.Th) of the FMT group were comparable to the control group. However, at 24 weeks following transplantation, these parameters of the FMT group were significantly higher than those of the control group (P < 0.05). Besides, the GM aggregated at 12 and 24 weeks following FMT, and the ecological distance was close between the rats in the FMT group and the donor rats. Alpha diversity, shown by the Shannon index and Simpson index, and the Firmicutes/Bacteroidetes ratio decreased significantly after FMT at 24 weeks. Furthermore, FMT restored the GM composition in aged rats at the phylum and family level, and the intestinal microbiota of the aged rats was similar to that of the donor rats. Correlation network analysis indirectly suggested the causality of FMT on alleviating osteoporosis. FMT improved the intestinal structure and up-regulated the expression of tight junction proteins of occludin, claudin, and ZO-1, which might be associated with the protective effects of FMT on bone. Conclusions GM transplanted from young rats alleviated bone loss in aged rats with senile osteoporosis by improving gut microbiome composition and intestinal barrier function. These data might provide a scientific basis for future clinical treatment of osteoporosis through FMT.

Summary: T cell factor 1 (Tcf1) promotes the central memory CD8+ T (TCM) cell differentiation and stemness in lymphoid tissues after systemic infections. It remains unclear whether Tcf1 regulates the CD103high tissue-resident memory CD8+ T (TRM) cell formation in non-lymphoid tissues after mucosal infections. We find that Tcf1 is progressively decreased during lung TRM cell formation. Abrogation of transforming growth factor β (TGF-β) signaling is associated with a loss of CD103+ and reciprocal gain of Tcf1+ cells among TRM precursors in vivo. T-cell-specific ablation of Tcf7 enhances CD103 protein expression in TRM cells and precursors and increases TRM cell numbers after primary and secondary infections. Tcf1 directly binds to the Itgae (encoding CD103) locus and partly inhibits TGF-β-induced CD103 expression. Our study suggests that memory T cell tissue residency and homeostatic proliferation are reciprocally regulated by Tcf1. Tcf1 may play either immunosupportive or immunosuppressive roles in CD8+ T cells, depending on systemic or mucosal infections. : Tcf1 promotes circulating memory T cell development and maintenance after systemic infections. Wu et al. show that Tcf1 inhibits CD103+ resident memory T cell development in influenza-virus-infected mice. Tcf1 may either promote or suppress memory T cell development, depending on systemic or mucosal infections. Keywords: TRM, influenza, memory CD8+ T cells, Tcf1, CD103

As an essential posttranscriptional regulator of gene expression, microRNA (miRNA) levels must be strictly maintained. The biogenesis of many miRNAs is mediated by trans-acting protein partners through a variety of mechanisms, including remodeling of the RNA structure. miR-31 functions as an oncogene in numerous cancers, and interestingly, its biogenesis is not known to be regulated by protein-binding partners. Therefore, the intrinsic structural properties of the precursor element of miR-31 (pre-miR-31) can provide a mechanism by which its biogenesis is regulated. We determined the solution structure of pre-miR-31 to investigate the role of distinct structural elements in regulating processing by the Dicer-TRBP complex. We found that the presence or absence of mismatches within the helical stem does not strongly influence Dicer-TRBP processing of the pre-miRNAs. However, both the apical loop size and structure at the Dicing site are key elements for discrimination by the Dicer-TRBP complex. Interestingly, our NMR-derived structure reveals the presence of a triplet of base pairs that link the Dicer cleavage site and the apical loop. Mutational analysis in this region suggests that the stability of the junction region strongly influences processing by the Dicer-TRBP complex. Our results enrich our understanding of the active role that RNA structure plays in regulating miRNA biogenesis, which has direct implications for the control of gene expression. [ABSTRACT FROM AUTHOR]