Construction of a prognostic model based on genes associated with mitochondrial energy metabolic pathway in colon adenocarcinoma and its clinical significance.

Mitochondria are the main sites of oxidative metabolism and energy release of sugars, fats and amino acids in the body. According to studies, malignant tumor occurrence and development have been linked to abnormal mitochondrial energy metabolism (MEM). However, the feasible role of abnormal MEM in colon adenocarcinoma (COAD) is poorly understood. In this work, we obtained COAD patient data from The Cancer Genome Atlas (TCGA) as the training set, and GSE103479 from Gene Expression Omnibus (GEO) as the validation set. Combined with the mitochondrial energy metabolic pathway (MEMP)-related genes in Kyoto Encyclopedia of Genes and Genomes (KEGG) database, a risk prognostic model was constructed by utilizing Cox regression analysis to identify 6 feature genes (CYP4A11, PGM2, PKLR, PPARGC1A, CPT2 and ACAT2) that were significantly associated with MEMP in COAD. By stratifying the samples based on riskscore, two distinct groups, namely the high- and low-risk groups, were identified. The model demonstrated accurate assessment of the prognosis risk in COAD patients and exhibited independent prognostic capability, as evidenced by the survival curve and receiver operating characteristic (ROC) curve analysis. A nomogram was plotted based on clinical information and riskscore. We proved it could predict the survival time of COAD patients effectively combined with the calibration curve of risk prediction. Subsequently, based on the immune evaluation and mutation frequency analysis performed on COAD patients, patients in high-risk group had observably higher immune scores, immune activity and PDCD1 expression level than low-risk group. In general, the prognostic model developed using MEMP-related genes served as a valuable biomarker for forecasting the prognosis of COAD patients, which offered a reference for the prognosis evaluation and clinical cure of COAD patients.

Lactobacillus rhamnosus GG alleviates colitis caused by chemotherapy via biofilm formation.

BACKGROUND AND AIM: Severe colitis is a common side effect of chemotherapy in cancer patients. In this study, we attempted to enhance the viability of probiotics in a gastric acid environment and improve the colitis induced by dextran sulfate sodium (DSS) and docetaxel. METHODS: We purified Lactobacillus from yogurt and estimated their growth at pH 6.8 and pH 2.0. In the further investigation, the bacterial biofilm formation was used to define the mechanism by which administration of Lactobacillus rhamnosus (LGG) via oral gavage alleviates the colitis and intestine permeability of the mice induced by DSS and docetaxel. The potential benefit of probiotics on the treatment of breast cancer metastasis has been assessed as well. RESULTS: Lactobacillus from yogurt growth was unexpectedly faster in the pH 2.0 than in the neutral pH medium during the first hour. LGG administered in the fasting state via oral gavage significantly improved the preventive effect in the colitis caused by DSS and docetaxel. LGG reduced the permeability of the intestine and decreased the expression of proinflammatory cytokines, TNF-α, IL-1ß, and IL-6, in colitis by biofilm formation. Increasing the docetaxel dose may reduce breast tumor growth and metastasis in the lung but did not benefit survival due to severe colitis. However, the LGG supplement significantly improved the survival of tumor-bearing mice following a high dose of docetaxel treatment. CONCLUSIONS: Our findings provide new insights into the potential mechanism of probiotic protection of the intestine and provide a novel therapeutic strategy to augment the chemotherapeutic treatment of tumors.

CoN1 O2 Single-Atom Catalyst for Efficient Peroxymonosulfate Activation and Selective Cobalt(IV)=O Generation.

High-valent metal-oxo (HVMO) species are powerful non-radical reactive species that enhance advanced oxidation processes (AOPs) due to their long half-lives and high selectivity towards recalcitrant water pollutants with electron-donating groups. However, high-valent cobalt-oxo (CoIV =O) generation is challenging in peroxymonosulfate (PMS)-based AOPs because the high 3d-orbital occupancy of cobalt would disfavor its binding with a terminal oxygen ligand. Herein, we propose a strategy to construct isolated Co sites with unique N1 O2 coordination on the Mn3 O4 surface. The asymmetric N1 O2 configuration is able to accept electrons from the Co 3d-orbital, resulting in significant electronic delocalization at Co sites for promoted PMS adsorption, dissociation and subsequent generation of CoIV =O species. CoN1 O2 /Mn3 O4 exhibits high intrinsic activity in PMS activation and sulfamethoxazole (SMX) degradation, highly outperforming its counterpart with a CoO3 configuration, carbon-based single-atom catalysts with CoN4 configuration, and commercial cobalt oxides. CoIV =O species effectively oxidize the target contaminants via oxygen atom transfer to produce low-toxicity intermediates. These findings could advance the mechanistic understanding of PMS activation at the molecular level and guide the rational design of efficient environmental catalysts.

Restoring Oat Nanoparticles Mediated Brain Memory Function of Mice Fed Alcohol by Sorting Inflammatory Dectin-1 Complex Into Microglial Exosomes.

Microglia modulate pro-inflammatory and neurotoxic activities. Edible plant-derived factors improve brain function. Current knowledge of the molecular interactions between edible plant-derived factors and the microglial cell is limited. Here an alcohol-induced chronic brain inflammation model is used to identify that the microglial cell is the novel target of oat nanoparticles (oatN). Oral administration of oatN inhibits brain inflammation and improves brain memory function of mice that are fed alcohol. Mechanistically, ethanol activates dectin-1 mediated inflammatory pathway. OatN is taken up by microglial cells via ß-glucan mediated binding to microglial hippocalcin (HPCA) whereas oatN digalactosyldiacylglycerol (DGDG) prevents assess of oatN ß-glucan to dectin-1. Subsequently endocytosed ß-glucan/HPCA is recruited in an endosomal recycling compartment (ERC) via interaction with Rab11a. This complex then sequesters the dectin-1 in the ERC in an oatN ß-glucan dependent manner and alters the location of dectin-1 from Golgi to early endosomes and lysosomes and increases exportation of dectin-1 into exosomes in an Rab11a dependent manner. Collectively, these cascading actions lead to preventing the activation of the alcoholic induced brain inflammation signing pathway(s). This coordinated assembling of the HPCA/Rab11a/dectin-1 complex by oral administration of oatN may contribute to the prevention of brain inflammation.

Plant-derived exosomal microRNAs inhibit lung inflammation induced by exosomes SARS-CoV-2 Nsp12.

Lung inflammation is a hallmark of coronavirus disease 2019 (COVID-19). In this study, we show that mice develop inflamed lung tissue after being administered exosomes released from the lung epithelial cells exposed to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Nsp12 and Nsp13 (exosomesNsp12Nsp13). Mechanistically, we show that exosomesNsp12Nsp13 are taken up by lung macrophages, leading to activation of nuclear factor κB (NF-κB) and the subsequent induction of an array of inflammatory cytokines. Induction of tumor necrosis factor (TNF)-α, interleukin (IL)-6, and IL-1ß from exosomesNsp12Nsp13-activated lung macrophages contributes to inducing apoptosis in lung epithelial cells. Induction of exosomesNsp12Nsp13-mediated lung inflammation was abolished with ginger exosome-like nanoparticle (GELN) microRNA (miRNA aly-miR396a-5p. The role of GELNs in inhibition of the SARS-CoV-2-induced cytopathic effect (CPE) was further demonstrated via GELN aly-miR396a-5p- and rlcv-miR-rL1-28-3p-mediated inhibition of expression of Nsp12 and spike genes, respectively. Taken together, our results reveal exosomesNsp12Nsp13 as potentially important contributors to the development of lung inflammation, and GELNs are a potential therapeutic agent to treat COVID-19.

Exosomes derived from human umbilical cord mesenchymal stem cells alleviate acetaminophen-induced acute liver failure through activating ERK and IGF-1R/PI3K/AKT signaling pathway.

This study aimed to investigate the therapeutic potential of human umbilical cord mesenchymal stem cells derived exosomes (hUCMSC-Exo) in acute liver failure (ALF) in mice as well as its underlying mechanism. We found that a single tail vein administration of hucMSC-Exo effectively enhanced the survival rate, inhibited apoptosis in hepatocytes, and improved liver function in APAP-induced mouse model of ALF. Furthermore, the deletion of glutathione (GSH) and superoxide dismutase (SOD), generation of malondialdehyde (MDA), and the over production of cytochrome P450 E1 (CYP2E1) and 4-hydroxynonenal (4-HNE) caused by APAP were also inhibited by hucMSC-Exo, indicating that hucMSC-Exo inhibited APAP-induced apoptosis of hepatocytes by reducing oxidative stress. Moreover, hucMSC-Exo significantly down-regulated the levels of inflammatory cytokines IL-6, IL-1ß, and TNF-α in APAP-treated livers. Western blot showed that hucMSC-Exo significantly promoted the activation of ERK1/2 and IGF-1R/PI3K/AKT signaling pathways in APAP-injured LO2 cells, resulting in the inhibition of apoptosis of LO2 cells. Importantly, PI3K inhibitor LY294002 and ERK1/2 inhibitor PD98059 could reverse the function of hucMSC-Exo on APAP-injured LO2 cells in some extent. Our results suggest that hucMSC-Exo offer antioxidant hepatoprotection against APAP in vitro and in vivo by inhibitiing oxidative stress-induced apoptosis via upregulation of ERK1/2 and PI3K/AKT signaling pathways.

Preventive Effect of Probiotics on Ventilator-Associated Pneumonia: A Meta-analysis of 2428 Patients.

BACKGROUND: Researchers had contradictory conclusions about the role of probiotics in preventing ventilator-associated pneumonia (VAP), which has led to the controversial use of probiotics in mechanically ventilated patients. OBJECTIVE: To explore the efficacy and safety of probiotics in preventing VAP. METHODS: A literature search was conducted in 7 medical databases. Two investigators assessed literature quality independently and collected data. The primary outcome was the incidence of VAP. Secondary outcomes included 16 measures. Sensitivity analysis and subgroup and meta-regression analyses were performed to analyze the source of heterogeneity. P values <0.05 were considered statistically significant, and CIs were set at 95%. A random-effects model was set when I2 <50%, otherwise a fixed-effects model was used. RESULTS: A total of 20 randomized controlled studies with a total of 2428 patients were analyzed. Pooled results showed positive effects of probiotics on the reduction of VAP incidence (risk ratio [RR] = 0.672; P < 0.001; I2 = 11.3%), length of ICU stay (WMD = -1.417; P = 0.012; I2 = 90.7%), oropharyngeal (RR = 0.866; P = 0.031; I2 = 12.4%) and gastric (RR = 0.645; P < 0.001; I2 = 30.2%) colonization. CONCLUSIONS AND RELEVANCE: Probiotics can reduce the incidence of VAP and reduce oropharyngeal and gastric bacterial colonization. The results also suggest that probiotics do not cause adverse effects.

Relationship of Programmed Death-1 (PD-1) and Programmed Death Ligand-1 (PD-L1) Polymorphisms with Overall Cancer Susceptibility: An Updated Meta-Analysis of 28 Studies with 60 612 Subjects.

BACKGROUND Programmed death-1 and its ligand-1 (PD-1/PD-L1) regulate tumor immunotherapy. A large number of studies have explored the relationship between PD-1, PD-L1, and different tumor susceptibility. However, these conclusions are not always consistent. Therefore, we updated this meta-analysis. MATERIAL AND METHODS MEDLINE, Web of Science, EMBASE and other databases were searched systematically to obtain related research. Then, we used STATA15.0 software to carry out the final meta-analysis. The computational advantage is better than OR to evaluate this relationship. RESULTS A total of a total of 28 related studies were involved in our meta-analysis. It was found that PD-1 rs11568821 and rs7421861 increased the overall cancer probability in the allelic genetic model, while PD-1 rs36084323 effectively reduced the risk of cancer in the dominant genetic model. In the homozygous genetic model, PD-L1 rs17718883 effectively increased the probability of tumorigenesis. PD-L1rs4143815 is associated with a reduced incidence of cancer in heterozygote, homozygote and dominant genetic patterns. Subgroup analysis showed that PD-1rs2227981 can promote the susceptibility to breast cancer, while PD-1rs2227982 can reduce the susceptibility to breast cancer. PD-L1 rs2890658 can significantly reduce the risk of lung and liver cancer. CONCLUSIONS PD-1rs11568821, rs36084323, rs7421861, pD-L1rs17718883, and rs4143815 are associated with tumor susceptibility. However, a review based on more experimental evidence is needed to verify our findings.

Research on Location Algorithm Based on Beacon Filtering Combining DV-Hop and Multidimensional Support Vector Regression.

The DV-Hop algorithm is widely used because of its simplicity and low cost, but it has the disadvantage of a large positioning error. In recent years, although some improvement measures have been proposed, such as hop correction, distance-weighted correction, and improved coordinate solution, there is room for improvement in location accuracy, and the accuracy is affected in anisotropic networks. A location algorithm based on beacon filtering combining DV-Hop and multidimensional support vector regression (MSVR) is proposed in this paper. In the process of estimating the coordinates of unknown nodes, received signal strength indication (RSSI), MSVR, and weighted least squares method are combined. In addition, the verification error of beacon nodes is proposed, which can select the beacon nodes with smaller errors to reduce the location error. Simulation results show that in different distributions, the location accuracy of the proposed algorithm is at least 34% higher than that of the classical DV-Hop algorithm and at least 28% higher than that of the localization based on multidimensional support vector regression (LMSVR) algorithm. The proposed algorithm has the potential of application in small-scale anisotropic networks.

Human amniotic mesenchymal stem cells inhibit hepatocellular carcinoma in tumour-bearing mice.

Hepatocellular carcinoma (HCC) is the third leading cause of the cancer-related death in the world. Human amniotic mesenchymal stem cells (hAMSCs) have been characterized with a pluripotency, low immunogenicity and no tumorigenicity. Especially, the immunosuppressive and anti-inflammatory effects of hAMSCs make them suitable for treating HCC. Here, we reported that hAMSCs administrated by intravenous injection significantly inhibited HCC through suppressing cell proliferation and inducing cell apoptosis in tumour-bearing mice with Hepg2 cells. Cell tracking experiments with GFP-labelled hAMSCs showed that the stem cells possessed the ability of migrating to the tumorigenic sites for suppressing tumour growth. Importantly, both hAMSCs and the conditional media (hAMSC-CM) have the similar antitumour effects in vitro, suggesting that hAMSCs-derived cytokines might be involved in their antitumour effects. Antibody array assay showed that hAMSCs highly expressed dickkopf-3 (DKK-3), dickkopf-1 (DKK-1) and insulin-like growth factor-binding protein 3 (IGFBP-3). Furthermore, the antitumour effects of hAMSCs were further confirmed by applications of the antibodies or the specific siRNAs of DKK-3, DKK-1 and IGFBP-3 in vitro. Mechanically, hAMSCs-derived DKK-3, DKK-1 and IGFBP-3 markedly inhibited cell proliferation and promoted apoptosis of Hepg2 cells through suppressing the Wnt/ß-catenin signalling pathway and IGF-1R-mediated PI3K/AKT signalling pathway, respectively. Taken together, our study demonstrated that hAMSCs possess significant antitumour effects in vivo and in vitro and might provide a novel strategy for HCC treatment clinically.

NEAT1 contributes to ox-LDL-induced inflammation and oxidative stress in macrophages through inhibiting miR-128.

Long noncoding RNAs (lncRNA) have been recognized as significant regulators in the progression of atherosclerosis (AS). Oxidized low-density lipoprotein (ox-LDL) can induce macrophage inflammation and oxidative stress, that serves important roles in AS. However, the exact function of lncRNA NEAT1 and its possible molecular mechanism in AS remain unclear. Here, we concentrated on the roles and molecular mechanisms of NEAT1 in AS development. In our current study, we observed that NEAT1 was elevated by ox-LDL in a dose-dependent and time-dependent manner. RAW264.7 cell survival was greatly enhanced, and cell apoptosis was significantly inhibited by LV-shNEAT1 transfection. In addition, knockdown of NEAT1 in RAW264.7 cells repressed CD36 expression and foam cell formation while NEAT1 overexpression shown an opposite process. Moreover, NEAT1 downregulation inhibited inflammation molecules including IL-6, IL-1ß, and TNF-α. Meanwhile, silencing of NEAT1 can also suppress reactive oxygen species (ROS) and malondialdehyde (MDA) levels with an enhancement of superoxide dismutase (SOD) activity in RAW264.7 cells. MicroRNAs are some short RNAs, and they can regulate multiple biological functions in many diseases including AS. Here, we found that miR-128 expression was remarkably decreased in ox-LDL-incubated RAW264.7 cells. Interestingly, miR-128 mimics was able to reverse AS-correlated events induced by overexpression of NEAT1. By using bioinformatics analysis, miR-128 was predicted as a target of NEAT1 and the correlation between them was validated in our study. Taken these together, it was implied that NEAT1 participated in ox-LDL-induced inflammation and oxidative stress in AS development through sponging miR-128.

Evaluation of the Severity of Hyperlipidemia Pancreatitis Using CT-measured Visceral Adipose Tissue.

BACKGROUND: Computed tomography-measured visceral adipose tissue (VAT) and the distribution of VAT are highly correlated with the severity and prognosis of acute pancreatitis (AP). To date, all available data are from the overall AP patient population; no subgroup analysis has been conducted to evaluate patients with moderately severe AP or patients with hyperlipidemia acute pancreatitis (HLAP) as independent populations. Currently, studies on the relationship between VAT and HLAP are lacking. MATERIALS AND METHODS: A total of 235 patients with moderately severe AP or severe acute pancreatitis were divided into 2 groups according to whether hyperlipidemia was present: the HLAP group and the non-HLAP group. The general inpatient information was collected, and computed tomography was used to measure VAT, subcutaneous adipose tissue (SAT), total adipose tissue, and VAT/SAT (V/S). The data were subjected to t test, χ test, matrix scatter plot, logistic regression, and receiver operating characteristic analyses to evaluate the relationship between VAT and HLAP severity. RESULTS: Significant differences were observed in VAT, SAT, total adipose tissue, and triglycerides (TGs) between the HLAP group and the non-HLAP group (P<0.001). Significant correlations were observed between VAT and body mass index (r=0.425, P=0.017) and between VAT and TG (r=0.367, P=0.042). In the HLAP group, VAT, V/S, TG, and local complications may have significant effects on disease severity. The receiver operating characteristic curves showed that VAT and V/S were more reliable than TGs in evaluating disease severity [area under the curve (AUC) of VAT: 0.819, P<0.001; AUC of V/S: 0.855, P<0.001; AUC of TG: 0.671, P=0.04]. Disease severity was reliably evaluated at 139 cm, the cut-off value of VAT. The cut-off value of V/S was 1.145; high V/S was associated with extended intensive care unit stay. VAT and its distribution had no significant effects on mortality. CONCLUSIONS: For patients with moderately severe to severe HLAP, VAT was correlated with body mass index and TG. VAT and V/S were valuable factors for evaluating disease severity and prognosis. However, VAT had no effect on mortality, and VAT could not be used to evaluate patients with moderately severe to severe non-HLAP.

Serum Elabela/Toddler Levels Are Associated with Albuminuria in Patients with Type 2 Diabetes.

BACKGROUND/AIMS: Elabela (ELA) or Toddler is a recently identified hormone that plays a crucial role in embryonic development through the activation of the apelin receptor (APJ). Our previous study indicated that ELA is highly expressed in adult kidney and the ELA receptor signaling pathway is functional in mammalian systems. Whereas nothing is yet known regarding ELA and diabetic kidney disease (DKD). Here, we evaluated the relationship between serum ELA levels and albuminuria in patients with type 2 diabetes (T2D). METHODS: An observational study involving 80 patients divided into groups according to their baseline urinary albumin/creatinine ratio (ACR): Group 1 (ACR ≤ 29 mg/g), Group 2 (ACR = 30-299 mg/g), Group 3 (ACR ≥ 300 mg/g with normal serum creatinine), and Group 4 (ACR ≥ 300 mg/g with increased serum creatinine). The demographic, clinical, and biochemical variables including serum ELA were obtained or measured through disease history, physical examination, or laboratory evidence. RESULTS: The results showed that the serum ELA levels decreased gradually with the deterioration of DKD from the stages of normal albuminuria, microalbuminuria, macroalbuminuria, to macroalbuminuria and elevated serum creatinine. In addition, ELA had a significantly negative correlation with ACR (r = -0.561, P < 0.001), retinopathy (r = -0.424, P < 0.001), serum creatinine (r = -0.269, P = 0.016), SBP (r = -0.249, P = 0.026), DBP (r = -0.261, P = 0.020) and a positive correlation with eGFR (r = 0.318, P = 0.004). Furthermore, stepwise multiple linear regression analysis showed that ACR, retinopathy, and LDL-C were considered the most relevant variables to ELA, and ELA, retinopathy, eGFR, and age were important predictors for ACR (t = -4.546, P = 0.000). CONCLUSIONS: To our knowledge, this is the first study to explore the clinical relationship between ELA levels and CKD. Decreased serum ELA levels might be a significant clinical predictor in patients with DKD or even as a promising agent for treating CKD patients.

High Mobility Group Box1 Inhibitor Glycyrrhizic Acid Attenuates Kidney Injury in Streptozotocin-Induced Diabetic Rats.

BACKGROUND/AIMS: High mobility group box 1 (HMGB1) is an important mediator of the inflammatory response. It has been implicated in the pathogenesis of autoimmune diseases, atherosclerosis, and obesity. However, the effects of HMGB1 on diabetic nephropathy remain unclear. Here, we investigated the potential roles and mechanisms of an HMGB1 inhibitor, glycyrrhizic acid (GA), in renal injury with the streptozotocin (STZ)-induced rat model. METHODS: The diabetic rat was generated by intraperitoneal injection of STZ and then treated with the HMGB1 inhibitor GA or saline for 8 weeks. Rats were randomly divided into three groups: the normal control and saline group (Control), the diabetic rats with saline group (Diabetic) and the diabetic rats plus GA group (Diabetic+GA). Peripheral blood was obtained for measurements of blood glucose, TNF-a, IL-6 and IL-1ß. The mRNA levels of proinflammatory cytokines (TNF-a, IL-6 and IL-1ß), chemokines (MCP-1), intercellular adhesion molecules (ICAM-1) and TGF-ß1 in the kidneys were evaluated by quantitative real-time PCR. The protein levels of phosphorylated(p) and total(t) p38 MAPK, JNK, ERK, and NF-κB were measured by western blot. RESULTS: We found that diabetic rats showed obvious renal lesions, an elevated urinary albumin/creatinine ratio (UACR) and increased expression levels of TGF-ß1 and Col-IV in the kidneys, accompanied by significantly enhanced expression levels of HMGB1, receptor for advanced glycation end products (RAGE) and toll-like receptor 4 (TLR-4) in the kidney tissue. Furthermore, the GA treatment significantly reduced the UAC levels, ameliorated renal injury, and decreased the TNF-α, 1L-6, IL-1ß, MCP-1, ICAM-1, TGF-ß1 and Col-IV levels. Importantly, the expression levels of HMGBI, RAGE and TLR4 in the kidney tissues of the diabetic rats were also inhibited by the GA treatment. Furthermore, the GA treatment significantly reduced the phosphorylation levels of ERK and p38 MAPK and suppressed NF-κB translocation from the cytoplasm to the nucleus. CONCLUSION: Our findings indicate that the HMGB1 inhibitor GA may improve renal injury and inflammatory responses in diabetic rats by regulating RAGE/TLR4-related ERK and p38 MAPK/NF-κB activation.

The alleviative effects of metformin for lipopolysaccharide-induced acute lung injury rat model and its underlying mechanism.

For patients who have sepsis, acute lung injury (ALI) causes most of death. Metformin (Met) is an anti-hyperglycemic agent and it has extensive pharmacological properties. This study aimed to analyze the influence of Met on lipopolysaccharide (LPS) -induced ALI. Met (1, 2, and 4 mg/kg) were injected and LPS was injected 30 min later. The data suggested Met can reduce release of inflammatory cytokines and bronchoalveolar lavage fluid (BALF) protein expression, reduce lung wet/dry ratio, and significantly improve LPS-induced lung destruction during ALI. In addition, Met inhibits LPS-induced neutrophil and macrophage infiltration, reduces MPO activity, and promotes AMPK-α1 expression in lung tissues. Our data suggested that metformin alleviates capillary injury during ALI via AMPK-α1.

Differential analysis of clinical efficacy on patients with serious infection in ICU by different meropenem regimens.

To investigate the difference in clinical efficacy and safety of different meropenem regimens on patients with serious infection in ICU. Then, 228 patients with serious infection in ICU were divided by random into control group (intermittent administration in 1000mg/30min single dose) and research group (continuous administration in 200mg/10min +800mg/180min), respectively. The blood concentration of meropenem were recorded in two groups at different time points, and difference in treatment effectiveness, iconographic effectiveness, bacterial eradication rate, 28-day survival rate and many other clinical scoring indices (SOFA, APACHEII, CPIS, and SIRS) were compared between two groups. There were 212 patients completing the whole research, including 104 patients in research group and 108 patients in control group. The difference in treatment effectiveness (77.8% vs 53.7%), iconographic effectiveness (51.0% vs 18.5%), and 28-day survival rate (86.5% vs 64.8%) between two groups performed statistical significance (P<0.05). However, the difference in bacterial eradication rate (48.0% vs 46.3%) performed no statistical significance. Eight hours later, the difference in average blood concentration between two groups (9.61±3.63µg/ml vs 1.5±0.51µg/ml) showed statistical significance. Moreover, the difference in clinical scoring indices except APACHE II score between two groups performed statistical significance. It was helpful to maintain the blood concentration of meropenem by extending the transfusion time. Therefore, it could increase the clinical cure rate and 28-day survival of patients with serious infection in ICU, improve clinical indices, and reduce the usage amount of antibiotics.

Improving speech depression detection using transfer learning with wav2vec 2.0 in low-resource environments.

Depression, a pervasive global mental disorder, profoundly impacts daily lives. Despite numerous deep learning studies focused on depression detection through speech analysis, the shortage of annotated bulk samples hampers the development of effective models. In response to this challenge, our research introduces a transfer learning approach for detecting depression in speech, aiming to overcome constraints imposed by limited resources. In the context of feature representation, we obtain depression-related features by fine-tuning wav2vec 2.0. By integrating 1D-CNN and attention pooling structures, we generate advanced features at the segment level, thereby enhancing the model's capability to capture temporal relationships within audio frames. In the realm of prediction results, we integrate LSTM and self-attention mechanisms. This incorporation assigns greater weights to segments associated with depression, thereby augmenting the model's discernment of depression-related information. The experimental results indicate that our model has achieved impressive F1 scores, reaching 79% on the DAIC-WOZ dataset and 90.53% on the CMDC dataset. It outperforms recent baseline models in the field of speech-based depression detection. This provides a promising solution for effective depression detection in low-resource environments.

Elabela mitigates the early stage of inflammation in sepsis by inhibiting pyroptosis.

OBJECTIVES: This study aims to investigate the potential therapeutic role of Elabela (ELA) in mitigating the sepsis-induced inflammatory storm, a phenomenon commonly associated with multiple organ dysfunction syndrome (MODS) and increased mortality. Our findings show the pathogenesis of sepsis, identifying ELA as a promising therapeutic target. METHODS: We conducted a comprehensive analysis of electronic medical records and blood samples from septic patients to assess the incidence of severe organ complication and characterize the inflammatory response. Subsequently, we measured the expression levels of ELA and various inflammatory factors in serum, and performed correlation analysis to explore the relationship between them, aiming to identify the cells and inflammatory pathways targeted by ELA. Furthermore, animal and cellular experiments were conducted to investigate the molecular mechanism underlying the therapeutic effect of ELA. RESULTS: Our findings revealed a higher prevalence of severe organ complications among septic patients, contributing to adverse prognoses and increased mortality. Notably, these patients exhibited significantly elevated levels of inflammatory cytokines such as interleukin-6 (IL-6) and interleukin-1ß (IL-1ß) in their sera, indicating a robust inflammatory response. Correlation analysis revealed a negative correlation between ELA and IL-1ß in septic patients. Through animal and cellular experiments, we demonstrated that ELA inhibits the cleavage of caspase-1 and gasdermin D (GSDMD), thereby attenuating pyroptosis and the inflammatory response. CONCLUSIONS: ELA is a promising therapeutic agent for mitigating the deleterious effects of sepsis. Its ability to inhibit macrophage pyroptosis and suppress the inflammatory response offers a novel approach.

Advances in metabolic reprogramming of renal tubular epithelial cells in sepsis-associated acute kidney injury.

Sepsis-associated acute kidney injury presents as a critical condition characterized by prolonged hospital stays, elevated mortality rates, and an increased likelihood of transition to chronic kidney disease. Sepsis-associated acute kidney injury suppresses fatty acid oxidation and oxidative phosphorylation in the mitochondria of renal tubular epithelial cells, thus favoring a metabolic shift towards glycolysis for energy production. This shift acts as a protective mechanism for the kidneys. However, an extended reliance on glycolysis may contribute to tubular atrophy, fibrosis, and subsequent chronic kidney disease progression. Metabolic reprogramming interventions have emerged as prospective strategies to counteract sepsis-associated acute kidney injury by restoring normal metabolic function, offering potential therapeutic and preventive modalities. This review delves into the metabolic alterations of tubular epithelial cells associated with sepsis-associated acute kidney injury, stressing the importance of metabolic reprogramming for the immune response and the urgency of metabolic normalization. We present various intervention targets that could facilitate the recovery of oxidative phosphorylation-centric metabolism. These novel insights and strategies aim to transform the clinical prevention and treatment landscape of sepsis-associated acute kidney injury, with a focus on metabolic mechanisms. This investigation could provide valuable insights for clinicians aiming to enhance patient outcomes in the context of sepsis-associated acute kidney injury.

Keto-anthraquinone covalent organic framework for H2O2 photosynthesis with oxygen and alkaline water.

Hydrogen peroxide photosynthesis suffers from insufficient catalytic activity due to the high energy barrier of hydrogen extraction from H2O. Herein, we report that mechanochemically synthesized keto-form anthraquinone covalent organic framework which is able to directly synthesize H2O2 (4784 µmol h-1 g-1 at λ > 400 nm) from oxygen and alkaline water (pH = 13) in the absence of any sacrificial reagents. The strong alkalinity resulted in the formation of OH-(H2O)n clusters in water, which were adsorbed on keto moieties within the framework and then dissociated into O2 and active hydrogen, because the energy barrier of hydrogen extraction was largely lowered. The produced hydrogen reacted with anthraquinone to generate anthrahydroquinone, which was subsequently oxidized by O2 to produce H2O2. This study ultimately sheds light on the importance of hydrogen extraction from H2O for H2O2 photosynthesis and demonstrates that H2O2 synthesis is achievable under alkaline conditions.