Alert for pharynx-centered gastrointestinal and respiratory cross-infection and cryptic cross-transmission routes of 2019-nCoV.

We proposed that the pharynx, as a common organ of the respiratory and digestive tracts, may be a respiratory and digestive tract cross cryptic transmission pathway for 2019-nCoV infection from the nasal cavities to the pharynx and lung, then to nasal cavities by aerosol (respiratory route) to the pharynx and the gastrointestinal tract, then to the oral cavity by feces (fecal-oral route) and to pharynx, lungs, or gastrointestinal tract.

Association between the stress hyperglycemia ratio and 28-day all-cause mortality in critically ill patients with sepsis: a retrospective cohort study and predictive model establishment based on machine learning.

BACKGROUND: Sepsis is a severe form of systemic inflammatory response syndrome that is caused by infection. Sepsis is characterized by a marked state of stress, which manifests as nonspecific physiological and metabolic changes in response to the disease. Previous studies have indicated that the stress hyperglycemia ratio (SHR) can serve as a reliable predictor of adverse outcomes in various cardiovascular and cerebrovascular diseases. However, there is limited research on the relationship between the SHR and adverse outcomes in patients with infectious diseases, particularly in critically ill patients with sepsis. Therefore, this study aimed to explore the association between the SHR and adverse outcomes in critically ill patients with sepsis. METHODS: Clinical data from 2312 critically ill patients with sepsis were extracted from the MIMIC-IV (2.2) database. Based on the quartiles of the SHR, the study population was divided into four groups. The primary outcome was 28-day all-cause mortality, and the secondary outcome was in-hospital mortality. The relationship between the SHR and adverse outcomes was explored using restricted cubic splines, Cox proportional hazard regression, and Kaplan‒Meier curves. The predictive ability of the SHR was assessed using the Boruta algorithm, and a prediction model was established using machine learning algorithms. RESULTS: Data from 2312 patients who were diagnosed with sepsis were analyzed. Restricted cubic splines demonstrated a "U-shaped" association between the SHR and survival rate, indicating that an increase in the SHR is related to an increased risk of adverse events. A higher SHR was significantly associated with an increased risk of 28-day mortality and in-hospital mortality in patients with sepsis (HR > 1, P < 0.05) compared to a lower SHR. Boruta feature selection showed that SHR had a higher Z score, and the model built using the rsf algorithm showed the best performance (AUC = 0.8322). CONCLUSION: The SHR exhibited a U-shaped relationship with 28-day all-cause mortality and in-hospital mortality in critically ill patients with sepsis. A high SHR is significantly correlated with an increased risk of adverse events, thus indicating that is a potential predictor of adverse outcomes in patients with sepsis.

Purinosomes involved in the regulation of tumor metabolism: current progress and potential application targets.

The core of tumor cell metabolism is the management of energy metabolism due to the extremely high energy requirements of tumor cells. The purine nucleotide synthesis pathway in cells uses the purinosomes as an essential spatial structural complex. In addition to serving a crucial regulatory role in the emergence and growth of tumors, it contributes to the synthesis and metabolism of purine nucleotides. The significance of purine metabolism in tumor cells is initially addressed in this current article. The role of purinosomes as prospective therapeutic targets is then reviewed, along with a list of the signaling pathways that play in the regulation of tumor metabolism. A thorough comprehension of the function of purinosomes in the control of tumor metabolism can generate fresh suggestions for the creation of innovative cancer treatment methods.

Pioneering the Way: The Revolutionary Potential of Antibody-Drug Conjugates in NSCLC.

OPINION STATEMENT: Despite targeted therapy and immunotherapy being recognized as established frontline treatments for advanced non-small cell lung cancer (NSCLC), the unavoidable development of resistance and disease progression poses ongoing challenges. Antibody-drug conjugates (ADCs) offer a potent treatment option for NSCLC through the specific delivery of cytotoxic agents to tumor cells that display distinct antigens. This review delves into the latest evidence regarding promising ADC agents for NSCLC, focusing on their targets, effectiveness, and safety assessments. Additionally, our study provides insights into managing toxicities, identifying biomarkers, devising methods to counter resistance mechanisms, tackling prevailing challenges, and outlining prospects for the clinical implementation of these innovative ADCs and combination regimens in NSCLC.

The impact of the 2019 ESC/EAS dyslipidaemia guidelines on real-world initial lipid-lowering therapy in patients with acute myocardial infarction.

This study aimed to investigate the impact of the latest guidelines on the real-world clinical practice of initial lipid-lowering therapy, especially on the use of ezetimibe and proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors in China. All adult patients diagnosed with acute myocardial infarction in our hospital between August 31, 2018, and August 31, 2020, were divided into the following 2 groups: those patients treated before the latest guideline release, and those patients treated after the release. A propensity score-matched method was used, and logistic regression was used to assess the association with intensive statin, ezetimibe and PCSK9 inhibitor usage together with treatment results between the 2 groups. A total of 325 patients were enrolled in this study, including 141 patients who were admitted before the release of the latest guideline and 184 patients who were admitted after the release. After a median follow-up time of 8.20 months, the mean low-density lipoprotein cholesterol was 1.87 ±â€…0.59 mmol/L (1.87 ±â€…0.55 in the before group vs 1.88 ±â€…0.62 in the after group, P = .829). After propensity score matching, the initial usage of intensive statin therapy was decreased after guideline release without statistical significance (17.00% vs 28.00%, P = .090), whereas the usage of ezetimibe and PCSK9 inhibitors was increased (19.00% vs 8.00%, P = .039; and 10.00% vs 3.00%, P = .085, respectively). In logistic regression models, the release of the guideline was associated with a statistically significantly increased use of ezetimibe (odds ratio [OR]: 1.91; 95% confidence interval [CI]: 1.21, 3.02; P = .005), a marginally decreased use of intensive statins (OR: 0.68; 95% CI: 0.45, 1.03; P = .069) and a marginally increased use of PCSK9 inhibitors (OR: 1.31; 95% CI: 0.98, 1.76; P = .068). In this single-center, real-world data analysis, after the release of the 2019 European Society of Cardiology/European Atherosclerosis Society guidelines, an increasing number of patients with a recent acute myocardial infarction were initially receiving ezetimibe and PCSK9 inhibitors.

Development and validation of an interpretable machine learning model-Predicting mild cognitive impairment in a high-risk stroke population.

Background: Mild cognitive impairment (MCI) is considered a preclinical stage of Alzheimer's disease (AD). People with MCI have a higher risk of developing dementia than healthy people. As one of the risk factors for MCI, stroke has been actively treated and intervened. Therefore, selecting the high-risk population of stroke as the research object and discovering the risk factors of MCI as early as possible can prevent the occurrence of MCI more effectively. Methods: The Boruta algorithm was used to screen variables, and eight machine learning models were established and evaluated. The best performing models were used to assess variable importance and build an online risk calculator. Shapley additive explanation is used to explain the model. Results: A total of 199 patients were included in the study, 99 of whom were male. Transient ischemic attack (TIA), homocysteine, education, hematocrit (HCT), diabetes, hemoglobin, red blood cells (RBC), hypertension, prothrombin time (PT) were selected by Boruta algorithm. Logistic regression (AUC = 0.8595) was the best model for predicting MCI in high-risk groups of stroke, followed by elastic network (ENET) (AUC = 0.8312), multilayer perceptron (MLP) (AUC = 0.7908), extreme gradient boosting (XGBoost) (AUC = 0.7691), and support vector machine (SVM) (AUC = 0.7527), random forest (RF) (AUC = 0.7451), K-nearest neighbors (KNN) (AUC = 0.7380), decision tree (DT) (AUC = 0.6972). The importance of variables suggests that TIA, diabetes, education, and hypertension are the top four variables of importance. Conclusion: Transient ischemic attack (TIA), diabetes, education, and hypertension are the most important risk factors for MCI in high-risk groups of stroke, and early intervention should be performed to reduce the occurrence of MCI.

Dual stimulus responsive borosilicate glass (BSG) scaffolds promote diabetic alveolar bone defectsrepair by modulating macrophage phenotype.

The regeneration of alveolar bone is still clinical challenge, particularly accompanied with diabetes, causing metabolic disorder with a protracted low-grade inflammatory phenotype. As a result, the anticipated loading of biomaterials is highly suspicious in spontaneous modulation of cells function, which is mostly disturbed by constant inflammation. In this study, we developed glucose and hydrogen peroxide dual-responsive borosilicate glass (BSG) scaffolds loaded with epigallocatechin gallate (EGCG) to synergistically modulate the abnormal inflammation of diabetic alveolar bone defects. It was found that the release of EGCG by BSG could directly regulate the shift of macrophages from M1 to the M2 phenotype by promoting autophagy and lessening the inhibition of autophagic flux. Moreover, EGCG can also indirectly regulate the polarization phenotype of macrophages by reducing the activation of NF-κb in stem cells and restoring its immunoregulatory capacity. Therefore, the addition of EGCG to BSG scaffold in diabetes allows for a more striking modulation of the macrophage phenotype in a timely manner. The altered macrophage phenotype reduces local inflammation and thus increases the ability to repair diabetic alveolar bone, showing promise for the treatment of alveolar defect in diabetic patients.

Moving research direction in the field of metallic bioresorbable stents-A mini-review.

In contrast to polymer bioresorbable stents (BRS) that exhibited suboptimal performance in clinical trials due to their deficient mechanical properties, metallic BRS with improved mechanical strength have made their way into the clinic and have demonstrated more promising results. In the roadmap of research and development of metallic BRS, magnesium and iron based biodegradable metal stents had been clinically used, and the zinc based biodegradable metal stents had been trailed in Mini-Pigs. In this mini-review paper, we demonstrate the current technology levels and point out the future R&D direction of metallic BRS. Magnesium based BRS should target for decreasing struct thickness meanwhile balancing with enough supporting strength. Iron based BRS should move towards high efficient absorption, conversion, metabolism, elimination of its degradation products. Zn based BRS should strive to improve mechanical stability, creep resistance and biocompatibility. Future R&D directions of metallic BRS should move towards new materials such as Molybdenum, intelligent stent integrated with degradable biosensors, and new stent with multiple biofunctions, such as NO release.

Clinical benefit of sodium-glucose transport protein-2 inhibitors in patients with heart failure: An updated meta-analysis and trial sequential analysis.

To assess whether the current body of accumulated data can give convincing evidence in favor of sodium-glucose transport protein-2 inhibitor (SGLT-2i) in all types of heart failure (HF). We searched for randomized controlled trials contrasting the effectiveness of SGLT-2i to placebo or other hypoglycemic medications on clinicaltrials.gov, PubMed, and the Cochrane Library database. To gauge effect size, hazard ratios (HR) were employed as measurements. The composite outcome of cardiovascular death or hospitalization owing to HF was the primary endpoint. Eleven studies were included. In comparison to the control group, the data demonstrated that SGLT-2i is related with a decreased incidence of composite outcome (HR: 0.77, 95% CIs: 0.73-0.81, I 2 = 0%, P < 0.01), CV death (HR: 0.87, 95% CIs: 0.81-0.94, I 2 = 3%, P < 0.01), all-cause mortality (HR: 0.90, 95% CIs: 0.84-0.96, I 2 = 10%, P < 0.01), and hospitalization due to HF (HHF) (HR: 0.70, 95% CIs: 0.66-0.75, I 2 = 0%, P < 0.01). The trial sequential analysis found strong evidence of a decrease in the incidence of all clinical outcomes with SGLT-2i when compared to the control group. Subgroup analysis demonstrated that the association between SGLT-2i and clinical outcome was independent of population characteristics. We confirm that the present evidence supports the use of SGLT-2i in a wide range of HF patients. Systematic review registration: [https://www.crd.york.ac.uk/prospero/#recordDetails], identifier [CRD42022333279].

Human IL-17 and TNF-α Additively or Synergistically Regulate the Expression of Proinflammatory Genes, Coagulation-Related Genes, and Tight Junction Genes in Porcine Aortic Endothelial Cells.

Immune rejection is the major limitation for porcine xenograft survival in primate recipients. Proinflammatory cytokines play important roles in immune rejection and have been found to mediate the pathological effects in various clinical and experimental transplantation trials. IL-17 and TNF-α play critical pathological roles in immune disorders, such as psoriasis and rheumatoid arthritis. However, the pathological roles of human IL-17 (hIL-17) and human TNF-α (hTNF-α) in xenotransplantation remain unclear. Here we found that hIL-17 and hTNF-α additively or synergistically regulate the expression of 697 genes in porcine aortic endothelial cells (PAECs). Overall, 415 genes were found to be synergistically regulated, while 282 genes were found to be additively regulated. Among these, 315 genes were upregulated and 382 genes were downregulated in PAECs. Furthermore, we found that hIL-17 and hTNF-α additively or synergistically induced the expression of various proinflammatory cytokines and chemokines (e.g., IL1α, IL6, and CXCL8) and decreased the expression of certain anti-inflammatory genes (e.g., IL10). Moreover, hIL-17 plus hTNF-α increased the expression of IL1R1 and IL6ST, receptors for IL1 and IL6, respectively, and decreased anti-inflammatory gene receptor expression (IL10R). hIL-17 and hTNF-α synergistically or additively induced CXCL8 and CCL2 expression and consequently promoted primary human neutrophil and human leukemia monocytic cell migration, respectively. In addition, hIL-17 and hTNF-α induced pro-coagulation gene (SERPINB2 and F3) expression and decreased anti-coagulation gene (TFPI, THBS1, and THBD) expression. Additionally, hIL-17 and hTNF-α synergistically decreased occludin expression and consequently promoted human antibody-mediated complement-dependent cytotoxicity. Interestingly, hTNF-α increased swine leukocyte antigen (SLA) class I expression; however, hIL-17 decreased TNF-α-mediated SLA-I upregulation. We concluded that hIL-17 and hTNF-α likely promote the inflammatory response, coagulation cascade, and xenoantibody-mediated cell injury. Thus, blockade of hIL-17 and hTNF-α together might be beneficial for xenograft survival in recipients.

Highly Purified Eicosapentaenoic Acid Alleviates the Inflammatory Response and Oxidative Stress in Macrophages during Atherosclerosis via the miR-1a-3p/sFRP1/Wnt/PCP-JNK Pathway.

Highly purified eicosapentaenoic acid (EPA) has shown great effects in the prevention of atherosclerosis. In a murine model, it significantly reduced plaque accumulation, lowered plasma lipid levels, and decreased inflammation levels, which was also observed in vitro. Using microRNA sequencing, we identified differentially expressed microRNAs, among which miR-1a-3p was selected for further validation. Overexpression of miR-1a-3p in RAW264.7 cells worsened lipid accumulation, increased oxidative stress, and exacerbated inflammatory responses whereas its downregulation produced the opposite results. Potential targets of miR-1a-3p were analyzed by prediction tools. Then, secreted frizzled-related protein 1 (sFRP1), an antagonist of the Wnt pathway, was confirmed as the target gene of miR-1a-3p by a dual-luciferase reporter assay. Further research showed that in macrophages, EPA influenced the activation of the Wnt/planar cell polarity-c-Jun N-terminal kinase (Wnt/PCP-JNK) axis, which is consistent with the phenomenon that miR-1a-3p has an impact on this same axis. Collectively, our findings suggest that EPA mitigates inflammatory responses and oxidative responses both in vivo and in vitro by targeting the miR-1a-3p/sFRP1/Wnt/PCP-JNK axis in macrophages, which may explain the cardioprotective role of EPA and promote the application of EPA in clinical practice.

Mechanism of differential expression of ß-glucosidase genes in functional microbial communities in response to carbon catabolite repression.

BACKGROUND: ß-Glucosidase is the rate-limiting enzyme of cellulose degradation. It has been stipulated and established that ß-glucosidase-producing microbial communities differentially regulate the expression of glucose/non-glucose tolerant ß-glucosidase genes. However, it is still unknown if this differential expression of functional microbial community happens accidentally or as a general regulatory mechanism, and of what biological significance it has. To investigate the composition and function of microbial communities and how they respond to different carbon metabolism pressures and the transcriptional regulation of functional genes, the different carbon metabolism pressure was constructed by setting up the static chamber during composting. RESULTS: The composition and function of functional microbial communities demonstrated different behaviors under the carbon metabolism pressure. Functional microbial community up-regulated glucose tolerant ß-glucosidase genes expression to maintain the carbon metabolism rate by enhancing the transglycosylation activity of ß-glucosidase to compensate for the decrease of hydrolysis activity under carbon catabolite repression (CCR). Micrococcales play a vital role in the resistance of functional microbial community under CCR. The transcription regulation of GH1 family ß-glucosidase genes from Proteobacteria showed more obvious inhibition than other phyla under CCR. CONCLUSION: Microbial functional communities differentially regulate the expression of glucose/non-glucose tolerant ß-glucosidase genes under CCR, which is a general regulatory mechanism, not accidental. Furthermore, the differentially expressed ß-glucosidase gene exhibited species characteristics at the phylogenetic level.

Comparative Effectiveness of Complete Revascularization Strategies in Patients With ST-Segment Elevation Myocardial Infarction and Multivessel Disease: A Bayesian Network Meta-Analysis.

Whether fractional flow reserve (FFR) should be available for revascularization in patients with ST-segment elevation myocardial infarction (STEMI) and multivessel disease (MVD) is controversial. We aimed to compare the efficacy of various complete revascularization (CR) regimens for STEMI patients with MVD. The PubMed and Cochrane Library databases and clinicaltrial.gov were searched for the randomized controlled trials (RCTs) comparing the FFR-guided CR, angiography-guided CR, and culprit-only revascularization (COR) strategies in STEMI patients with MVD. A Bayesian random-effect model was employed to synthesize the evidence in network meta-analysis. We used relative risk (RR) and 95% credible interval (CrI) as measures of effect size. The primary endpoint was the composite outcome of all-cause mortality or myocardial infarction (MI). Twelve RCTs were included. Angiography-guided CR showed a lower event rate of the composite outcome (RR, 0.68; 95%CrI, 0.50-0.87), all-cause mortality (RR, 0.75; 95%CrI, 0.55-0.96), MI (RR, 0.63; 95%CrI, 0.43-0.86), and repeat revascularization (RR, 0.36; 95% CrI, 0.24-0.55) compared with COR. Additionally, angiography-guided CR had a lower risk of primary outcome (RR, 0.64; 95%CrI, 0.38-0.94) and MI (RR, 0.58; 95%CrI, 0.31-0.92) than FFR-guided CR. The difference between the FFR-guided CR and COR in terms of composite outcome, all-cause mortality, and MI was similar. Angiography-guided CR was associated with the highest probability of optimal treatment for the primary outcome (98.5%), followed by FFR-guided CR (1.2%) and COR (0.3%). STEMI patients with MVD benefitted more from angiography-guided CR than from FFR-guided CR. However, only one study compared the effectiveness of FFR-guided and angiography-guided PCI; thus, the comparison between FFR-guided and angiography-guided PCI relied on indirect evidence. Therefore, further studies directly comparing the effectiveness of these two CR strategies are warranted.

Bleeding risks with novel oral anticoagulants especially rivaroxaban versus aspirin: a meta-analysis.

BACKGROUND: This pairwise meta-analysis determines the difference in bleeding risks associated with the use of novel oral anticoagulants (NOACs) and aspirin. METHODS: PubMed, the Cochrane Library database, clinicaltrial.gov , and related studies were searched for randomized control trials (RCTs) comparing NOAC and aspirin published between January 1, 2000 and May 10, 2021. The primary endpoint was intracranial hemorrhage (ICH). RESULTS: Eleven studies involving 57,645 patients were included. Compared to aspirin, rivaroxaban (5 mg/day) had a similar risk of ICH, major bleeding, and fatal bleeding; rivaroxaban (10 mg/day) had higher risks of gastrointestinal hemorrhage (OR: 1.41; 95% CI: 1.03-1.94; P = 0.032; I2 = 0%) and a similar risk of ICH, major bleeding, and fatal bleeding; and rivaroxaban (15-20 mg/day) had higher risks of ICH (OR: 3.21; 95% CI: 1.36-7.60; P = 0.008; I2 = 0%), major bleeding (OR: 2.64; 95% CI: 1.68-4.16; P < 0.001; I2 = 0%), and fatal bleeding (OR: 2.26; 95% CI: 1.25-4.08; P = 0.007; I2 = 0%) and a similar risk of gastrointestinal hemorrhage. Bleeding outcomes between other NOACs (apixaban and dabigatran etexilate) and aspirin were not different. CONCLUSIONS: The bleeding risks associated with NOACs depend on drug type and dosage. For ≥15 mg/day of rivaroxaban, the risk of ICH was significantly higher than that with aspirin. However, further studies comparing dabigatran etexilate and apixaban versus aspirin are warranted to draw a definite conclusion.

Corrigendum: Acute Myocardial Infarction Detection Using Deep Learning-Enabled Electrocardiograms.

[This corrects the article DOI: 10.3389/fcvm.2021.654515.].

Relationship Between the Eosinophil/Monocyte Ratio and Prognosis in Decompensated Heart Failure: A Retrospective Study.

PURPOSE: The aim of this study was to assess the value of the eosinophil/monocyte ratio (EMR) for predicting the prognosis of decompensated heart failure (HF). PATIENTS AND METHODS: This was a retrospective cohort study. We included adults (≥18 years old) diagnosed with decompensated HF for whom EMR data were available. The patients were divided into three groups according to EMR tertiles (T1 [EMR≤0.15], T2 [0.150.32]). The primary endpoint was the composite outcome of cardiovascular death or HF rehospitalization. RESULTS: Initially, the records of 2264 patients with decompensated HF were screened; 1883 of these patients had EMR data and were therefore included in the study. There were 627 patients in the T1 group, 628 in the T2 group, and 628 in the T3 group. The risk of cardiovascular death or HF rehospitalization was significantly different among the three groups (Log rank test, P=0.007). Compared with the T3 group, both the T1 group (hazard ratio [HR]: 1.50, 95% confidence interval [CI]: 1.16-1.94, P=0.002) and the T2 group (HR: 1.34, 95% CI: 1.03-1.74, P=0.030) had significantly higher rates of cardiovascular death or HF rehospitalization. A Cochran-Armitage test for trend showed a positive correlation between the EMR and the composite outcome of cardiovascular death or HF. There was a significant difference between the three groups in terms of cardiovascular death (Log rank test, P<0.001) and HF rehospitalization (Log rank test, P=0.03). CONCLUSION: The EMR is positively correlated with the risk of cardiovascular death or HF rehospitalization in patients with decompensated HF. Specifically, the lower the EMR, the higher the risk of cardiovascular death or HF rehospitalization.

Anti-hyperlipidemic, Anti-inflammatory, and Ameliorative Effects of DRP1 Inhibition in Rats with Experimentally Induced Myocardial Infarction.

This study aims to investigate the biological role of DRP1 in myocardial infarction (MI) in concert with hyperlipidemia (HL). Based on the available literatures, 10 genes related to MI with HL (HL-MI) were screened and detected in clinical samples. High-fat diet (HFD) was used to establish HL rat models, after which the rats were subcutaneously injected with PBS or isoproterenol hydrochloride to induce acute MI. Then, rats with HL-MI were injected with pcDNA3.1, pcDNA3.1-DRP1, sh-NC, or sh-DRP1. Serum levels of total cholesterol (TC), triglycerides (TG), high-density lipoprotein-cholesterol (HDL-C), and low-density lipoprotein-cholesterol (LDL-C) were measured. Cardiac function was evaluated by detecting left ventricular fractional shortening (LVFS) and left ventricular ejection fraction (LVEF). Infarct size and histopathological changes were assessed as well as myocardial apoptosis and collagen deposition. The concentration of IL-6, IL-1ß, and TNF-α in rat serum and cardiac tissues was also measured by ELISA. Mitochondrial function was shown by measuring the morphology, mitochondrial membrane potential (MMP), and intracellular reactive oxygen species (ROS) level. Pro-apoptotic proteins (Bax, caspase-1, and cleaved caspase-1) and NLRP3 inflammasome activation were also assessed. The expressions of the 10 genes were measured in clinical samples and DRP1 was selected for further experiments with significantly upregulated expression in MI patients. HFD-induced rats showed increased body weight, concurrent with higher levels of TG, TC, and LDL-C and lower HDL-C level. Compared with the BD-PBS group, the HFD-PBS group presented higher mRNA and protein expression levels of DRP1, exacerbated cardiac functions, enlarged infarct size, loss of cardiomyocytes, and disordered island cardiomyocytes. In the HL-MI rat model, injection of pcDNA3.1-DRP1 enhanced the levels of serum lipids and inflammation cytokines, induced loss of a number of cardiomyocytes and collagen deposition, and decreased LVFS and LVEF, while injection of sh-DRP1 ameliorated myocardial injuries, inflammation, and cardiomyocyte apoptosis and fibrosis. In coronary artery endothelial cells from the rats, loss of MMP was observed in the HFD-MI, LV-NC, LV-DRP1, and sh-NC groups and concomitantly, the sh-DRP1group showed increased MMP and decreased levels of mitochondrial ROS, cytochrome C, pro-apoptotic proteins, and NLRP3. Inhibition of DRP1 markedly suppressed HL, systematic inflammation, and myocardial injuries induced by HL-MI through partly restoring mitochondrial function and reducing NLRP3 expression.

Acute Myocardial Infarction Detection Using Deep Learning-Enabled Electrocardiograms.

Background: Acute myocardial infarction (AMI) is associated with a poor prognosis. Therefore, accurate diagnosis and early intervention of the culprit lesion are of extreme importance. Therefore, we developed a neural network algorithm in this study to automatically diagnose AMI from 12-lead electrocardiograms (ECGs). Methods: We used the open-source PTB-XL database as the training and validation sets, with a 7:3 sample size ratio. Twenty-One thousand, eight hundred thirty-seven clinical 12-lead ECGs from the PTB-XL dataset were available for training and validation (15,285 were used in the training set and 6,552 in the validation set). Additionally, we randomly selected 205 ECGs from a dataset built by Chapman University, CA, USA and Shaoxing People's Hospital, China, as the testing set. We used a residual network for training and validation. The model performance was experimentally verified in terms of area under the curve (AUC), precision, sensitivity, specificity, and F1 score. Results: The AUC of the training, validation, and testing sets were 0.964 [95% confidence interval (CI): 0.961-0.966], 0.944 (95% CI: 0.939-0.949), and 0.977 (95% CI: 0.961-0.991), respectively. The precision, sensitivity, specificity, and F1 score of the deep learning model for AMI diagnosis from ECGs were 0.827, 0.824, 0.950, and 0.825, respectively, in the training set, 0.789, 0.818, 0.913, and 0.803, respectively, in the validation set, and 0.830, 0.951, 0.951, and 0.886, respectively, in the testing set. The AUC for automatic AMI location diagnosis of LMI, IMI, ASMI, AMI, ALMI were 0.969 (95% CI: 0.959-0.979), 0.973 (95% CI: 0.962-0.978), 0.987 (95% CI: 0.963-0.989), 0.961 (95% CI: 0.956-0.989), and 0.996 (95% CI: 0.957-0.997), respectively. Conclusions: The residual network-based algorithm can effectively automatically diagnose AMI and MI location from 12-lead ECGs.

Molecular analyses of the diversity and function of the family 1 ß-glucosidase-producing microbial community in compost.

The diversity and transcription efficiency of GH1 family ß-glucosidase genes were investigated in natural and inoculated composts using a DNA clone library and real-time qPCR. Compositional differences were observed in the functional communities between the two composting processes. Proteobacteria, Actinobacteria, Firmicutes, and Chloroflexi were the dominant phyla. Twenty representative ß-glucosidase genes were quantitatively analyzed from the DNA and RNA pools. Principal component analysis and Pearson's correlation analysis showed that cellulose degradation is correlated with the composition and succession of functional microbial communities, and this correlation was mainly observed in Proteobacteria and Actinobacteria. Compared with inoculated compost, the functional microbial communities in natural compost with a low diversity index exhibited a weak buffering capacity for function in response to environmental changes. This may explain the consistency and dysfunction of cellulose degradation and transcriptional regulation by dominant ß-glucosidase genes. Except for the ß-glucosidase genes encoding constitutive enzymes, individual ß-glucosidase genes responded to environmental changes more drastically than the group ß-glucosidase genes. The correlation results suggested that ß-glucosidase genes belonging to Micrococcales play an important role in the regulation of intracellular ß-glucosidase. These results indicated that the responses of functional microorganisms were different during both composting processes and were reflected at both the individual and group levels.