Impact of cadmium and diclofenac exposure on biochemical responses, transcriptome, gut microflora, and growth performance in grass carp (Ctenopharyngodonidella).

In recent years, the concentrations of cadmium (Cd) and diclofenac (DCF) in water have frequently exceeded the standard; however, the toxic effects of these two pollutants on grass carp under single and combined exposure are unknown. In this study, the concentrations of pollutants in different tissues were detected, and the toxicities of the two pollutants to grass carp under different exposure conditions were compared based on growth traits, biochemical responses, gut microbiome, and transcriptomes. Based on these findings, the brain showed the lowest levels of Cd and DCF accumulation. Oxidative stress and pathological damage were observed in the brain and intestines. Changes in the structure and abundance of the gut microflora affect the synthesis of neurotransmitters, such as GABA and steroids. Differentially expressed genes in the brain were enriched in circadian rhythm functions. The expression of PER, CLOCK,1L-1ß, 1L-17, and other genes are related to the abundance of Akkermansia, which indicates that the disorder of gut microflora will affect the normal circadian rhythm of the brain. All indices in the recovery group showed an increasing trend. Overall, the toxicity of Cd and DCF showed antagonism, and a single exposure had a stronger effect on gut microorganisms and circadian rhythm, which provided a scientific basis for exploring the comprehensive effects of different pollutants.

Simultaneous Rapid Detection of Multiple Physicochemical Properties of Jet Fuel Using Near-Infrared Spectroscopy.

Jet fuel is the primary fuel used in the aviation industry, and its quality has a direct impact on the safety and operational efficiency of aircraft. The accurate quantitative detection and analysis of various physicochemical property indicators are important for improving and ensuring the quality of jet fuel in the domestic market. This study used near-infrared (NIR) spectroscopy to establish a suitable model for the simultaneous and rapid detection of multiple physicochemical properties in jet fuel. Using more than 40 different sources of jet fuel, a rapid detection model was established by optimizing the spectral processing methods. The measurement models were separately built using the partial least-squares (PLS) and orthogonal PLS algorithms, and the model parameters were optimized. The results show that after the Savitzky-Golay second derivative preprocessing, the PLS model built using the feature spectra selected by the uninformative variable elimination wavelength algorithm achieved the best measurement performance. Compared with the PLS model without preprocessing, the range of the resulting accuracy improvement was at least 15.01%. Under the optimal model parameters, the calibration set regression coefficient (Rc2) of the 11 jet fuel property index models ranged from 0.9102 to 0.9763, with the root-mean-square error of calibration values up to 0.8468 °C (for flash points). The regression coefficient (Rp2) of the validation set ranged from 0.8239 to 0.9557, with the root-mean-square error of prediction values up to 1.1354 °C (for flash points). The ratios of prediction to deviation (RPD) values were all in the range of 1.9-3.0, indicating high accuracy and reliability of the model. The rapid NIR analysis method established in this study enables the simultaneous and rapid detection of multiple physicochemical properties of jet fuel, thereby providing effective technical support for ensuring the quality of jet fuel in the market.

Incorporating Lycium barbarum residue in diet boosts survival, growth, and liver health in juvenile grass carp (Ctenopharyngodon idellus).

This research elucidates the potential of Lycium barbarum residue (LBR), a by-product rich in bioactive substances, as a dietary supplement in aquaculture, especially for herbivorous fish like grass carp. In a detailed 120-day feeding trial, the impacts of varying LBR levels on juvenile grass carp were assessed, focusing on growth performance, survival rate, biochemical markers, and liver health. The study identified a 6% inclusion rate of LBR as optimal for enhancing survival and growth while mitigating hepatic lipid accumulation. Composition analysis of this diet revealed high concentrations of polysaccharides and flavonoids. Notably, the intake of LBR was found to enhance the antioxidant and immune-related enzymatic activities in the liver. Furthermore, it contributed to a reduction in hepatic fat deposition by decreasing the levels of triglycerides (TG) and total cholesterol (T-CHO) both in the liver and serum. Transcriptomic analysis of the liver highlighted LBR's substantial influence on lipid metabolism pathways, including the PPAR signaling pathway, primary bile acid biosynthesis, cholesterol metabolism, bile secretion, fat digestion and absorption, fatty acid degradation and fatty acid biosynthesis. Further, the expression level of genes pinpointed significant downregulation of fasn and dgat2, alongside upregulation of genes like pparda, cpt1b, cpt1ab and abca1b, in response to LBR supplementation. Overall, the findings present LBR as a promising enhancer of growth and survival in grass carp, with significant benefits in promoting fat metabolism and liver health, offering valuable insights for aquacultural nutrition strategies.

MicroRNA-30e-3p regulates the inflammatory response by targeting the gimap8 gene in Ctenopharyngodon idella kidney (CIK) cells.

Recent studies have increasingly linked miRNAs with the modulation of inflammatory responses and immunosuppressive activities. This investigation reveals that mir-30e-3p selectively binds to and modulates gimap8, as demonstrated by luciferase reporter assays and qPCR analyses. Upon LPS stimulation of CIK cells, mir-30e-3p expression was notably elevated, inversely correlating with a decrease in gimap8 mRNA levels. Overexpression of mir-30e-3p attenuated the mRNA levels of pro-inflammatory cytokines beyond the effect of LPS alone, suggesting a regulatory role of mir-30e-3p in inflammation mediated by the gimap8 gene. These insights contribute to our understanding of the complex mechanisms governing inflammatory and immune responses.

Accurate identification of methanol and ethanol gasoline types and rapid detection of the alcohol content using effective chemical information.

Methanol and ethanol gasoline are two emerging clean energy sources with different characteristics. To achieve the qualitative identification and quantitative analysis of the alcohols present in methanol and ethanol gasoline, effective chemical information (ECI) models based on the characteristic spectral bands of the near-infrared (NIR) spectra of the methanol and ethanol molecules were developed using the partial least squares discriminant analysis (PLS-DA) and partial least squares (PLS) algorithms. The ECI model was further compared with models built from the full wavenumber (Full) spectra, variable importance in projection (VIP) spectra, and Monte Carlo uninformative variable elimination (MC-UVE) spectra to determine the predictive performance of ECI model. Among the various qualitative identification models, it was found that the ECI-PLS-DA model, which is built using the differences in molecular chemical information between methanol and ethanol, exhibited sensitivity, specificity and accuracy values of 100%. The ECI-PLS-DA model accurately identified methanol gasoline and ethanol gasoline with different contents. In the quantitative analysis model for methanol gasoline, the methanol gasoline and ethanol gasoline ECI-PLS models exhibited the smallest root mean squared error of predictions (RMSEP) of 0.18 and 0.21% (v/v), respectively, compared to the other models. Meanwhile, the F-test and T-test results revealed that the NIR method employing the ECI-PLS model showed no significant difference compared to the standard method. Compared with other spectral models examined herein, the ECI model demonstrated the highest recognition success and determination accuracy. This study therefore established a highly accurate and rapid determination model for the qualitative identification and quantitative analysis based on chemical structures. It is expected that this model could be extended to the NIR analysis of other physicochemical properties of fuel.

miR-22a targets p62/SQSTM1 to negatively affect autophagy and disease resistance of grass carp (Ctenopharyngodon idella).

MicroRNAs (miRNAs) are integral to many biological functions, including autophagy, a process recently proven to be closely linked to innate immunity. In this study, we present findings on miR-22a, a teleost homolog of mammalian miR-22, illustrating its capacity to target the autophagy adaptor p62, subsequently inducing downregulation at both mRNA and protein levels. Utilizing Western blot analyses, we demonstrated that miR-22a inhibits the autophagy flux of CIK cells, correlated with an elevated presence of LC3 II. Additionally, the overexpression of miR-22a resulted in the suppression of NF-κB signaling, leading to reduced cellar antimicrobial abilities and increased apoptosis. These findings provide novel insights into the role of miR-22a as an autophagy-related miRNA and its immune mechanisms against pathogens via p62 in teleost, enriching our understanding of the interplay between autophagy and innate immunity.

A Novel Swept-Back Fishnet-Embedded Microchannel Topology.

High in reliability, multi in function, and strong in tracking and detecting, active phased array antennas have been widely applied in radar systems. Heat dissipation is a major technological barrier preventing the realization of next-generation high-performance phased array antennas. As a result of the advancement of miniaturization and the integration of microelectronics technology, the study and development of embedded direct cooling or heat dissipation has significantly enhanced the heat dissipation effect. In this paper, a novel swept-back fishnet-embedded microchannel topology (SBFEMCT) is designed, and various microchannel models with different fishnet runner mesh density ratios and different fishnet runner layers are established to characterize the chip Tmax, runner Pmax, and Vmax and analyze the thermal effect of SBFEMCT under these two operating conditions. The Pmax is reduced to 72.37% and 57.12% of the original at mesh density ratios of 0.5, 0.25, and 0.125, respectively. The maximum temperature reduction figures are average with little change in maximum velocity and a small increase in maximum pressure drop across the number of fishnet runner layers from 0 to 4. This paper provides a study of the latest embedded thermal dissipation from the dimension of a single chip to provide a certain degree of new ideas and references for solving the thermal technology bottleneck of next-generation high-performance phased array antennas.

miR-23a regulates the disease resistance of grass carp (Ctenopharyngodon idella) by targeting autophagy-related genes, ATG3 and ATG12.

miRNAs play a key role in the autophagy process. In recent years, the emerging role of autophagy in regulating immune response has attracted increasing attention. Since then, specific miRNAs have also been found to play an immune function indirectly by modulating autophagy as well. This study proved that miR-23a could downregulate grass carp autophagy simultaneously by targeting ATG3 and ATG12. Besides, both ATG3 and ATG12 mRNA levels were increased in kidney and intestine after being infected by Aeromonas hydrophila; yet almost at the same time, miR-23a was decreased. Besides, we illustrated that grass carp miR-23a could affect antimicrobial capacity, proliferation, migration, and antiapoptotic abilities of CIK cells. These results indicate that miR-23a was related to grass carp autophagy and plays an important role in antimicrobial immunity through targeting ATG3 and ATG12, which provides important information on autophagy-related miRNAs about the defense and immune mechanisms against pathogens in teleost.

Identification of multifunctionality of grass carp (Ctenopharyngodon idella) TBK1 during bacterial infection.

TBK1 is an atypical IκB kinase family member with a set of functions. It is involved in congenital immunization and autophagy in mammals. In this study, we reported that grass carp TBK1 gene expression could be upregulated by bacterial infection. Overexpression of TBK1 could decrease the number of adhesive bacteria in CIK cells. TBK1 could promote cellular migration, proliferation, vitality, and anti-apoptosis ability. Furthermore, the expression of TBK1 could activate the NF-κB signaling pathway by inducing inflammatory cytokines. In addition, we found that the grass carp TBK1 could cause the autophagy level of CIK cells within the decreasing level of p62 protein. Our finding indicated that TBK1 participated in grass carp innate immune progress and autophagy. This study provides evidence of the positive regulation of TBK1 in teleost innate immunity with its multiple functions. It thus may provide important information about the defense and immune mechanisms used by teleost against pathogens.

Comparative efficacy, acceptability, and tolerability of adjunctive anti-inflammatory agents on bipolar disorder: A systemic review and network meta-analysis.

OBJECTIVES: We performed a network meta-analysis (NMA) with up-to-date evidence to compare different anti-inflammatory agents to improve the treatment of bipolar disorder (BD) patients. METHODS: Four databases (i.e., the Cochrane Library, Web of Science, PubMed, and Embase) were searched for randomized controlled trials (RCTs) published between 1995 and 2022 on the use of anti-inflammatory agents in the treatment of BD. A systematic review and NMA were conducted. RESULTS: Adjunctive N-acetylcysteine (NAC) was superior to placebo for the treatment of BD according to the endpoint scale score (SMD -0.65, 95% confidence interval (CI): - 0.99 to - 0.31), response rate (odds ratio (OR) 3.42, 95% CI: 1.23-9.52), remission rate (OR 4.94, 95% CI: 1.03-41.38) and surface under the cumulative ranking curve (SUCRA) value of the endpoint scale score (0.84). Adjunctive nonsteroidal anti-inflammatory drugs (NSAIDs) were more favorable than placebo based on the remission rate (OR 3.93, 95% CI: 1.15-13.43) and were significantly more acceptable than other treatments (OR 0.60, 95% CI: 0.36-0.99). Adjunctive coenzyme Q10 (CoQ10) was superior to other agents in terms of the response rate (OR 18.85, 95% CI: 2.63-135.00), with a SUCRA value for the response rate of 0.90 and that for the remission rate of 0.71. CONCLUSION: Adjunctive NAC is recommended for the treatment of BD. Adjunctive NSAIDs and CoQ10 are still seen as effective, but more high-quality clinical studies are needed to verify their efficacy. Other anti-inflammatory agents may not be recommended for clinical use at present. All anti-inflammatory agents demonstrated a good safety profile. We call for further research on the combined treatment of BD with different anti-inflammatory agents to be included in future trials.

Plasma-Assisted Fabrication of Molecularly Imprinted NiAl-LDH Layer on Ni Nanorod Arrays for Glyphosate Detection.

An inorganic-framework molecularly imprinted NiAl layered double hydroxide (MI-NiAl-LDH) with specific template molecule (glyphosate pesticide, Glyp) recognition ability was prepared on Ni nanorod arrays (Ni NRAs) through electrodeposition followed by a low-temperature O2 plasma treatment. The freestanding Ni/MI-NiAl-LDH NRA electrode had highly enhanced sensitivity and selectivity. The electrocatalytic oxidation of Glyp was proposed to occur at Ni3+ centers in MI-NiAl-LDH, and the current response depended linearly on the Glyp concentration from 10.0 nmol/L to 1.0 µmol/L (R2 = 0.9906), with the limit of detection (LOD) being 3.1 nmol/L (S/N = 3). An exceptional discriminating capability with tolerance for other similar organophosphorus compounds was achieved. Molecular imprinting (N and P residues) affected the electronic structure of NiAl-LDH, triggering the formation of highly active NiOOH sites at relatively lower anodic potentials and substantially enhancing the electrocatalytic oxidation ability of the NiAl-LDH interface toward the C-N bonds in Glyp. In combination with the surface enrichment effect of MI-NiAl-LDH toward template molecules, the electrochemical oxidation signal intensity of Glyp increased significantly, with a greater peak separation from interfering molecules. These results challenge the common belief that the excellent performance of inorganic-framework molecularly imprinted interfaces arises from their specific adsorption of template molecules, providing new insight into the development of high-performance organic-pollutant-sensing electrodes.

Selection of the Effective Characteristic Spectra Based on the Chemical Structure and Its Application in Rapid Analysis of Ethanol Content in Gasoline.

Near-infrared (NIR) spectroscopy analysis is one of the most rapid detection methods for determining ethanol content in gasoline. Wavelength selection is a key step in the multivariate calibration analysis of NIR spectroscopy. To improve detection accuracy of ethanol content in gasoline and provide a simpler interpretation, we established NIR spectroscopy, a rapid analysis method based on the effective characteristic spectra. Five effective characteristic spectral bands were used according to the molecular structure of ethanol, followed by the development of four modeling schemes. The four modeling schemes spectra, NIR full spectra, and variable importance projection (VIP) spectra were used for modeling and analysis. The model was established based on the effective characteristic spectra without the interference spectra of aromatic hydrocarbons, achieving the best model performance. In addition, the model was further evaluated by internal cross-validation and external validation. The model's evaluation parameters were as follows: the root mean square error of cross-validation (RMSECV) was 0.6193, the correlation coefficient of internal cross-validation (R CV 2) was 0.9995, the root mean square error of prediction (RMSEP) was 0.5572, and the correlation coefficient of external prediction validation (R P 2) was 0.9995. The effective characteristic spectra model had smaller RMSEP and RMSECV values, and larger R CV 2 and R P 2 values compared to the full spectra and VIP spectra models. In conclusion, the effective characteristic spectra model had the highest accuracy and could provide rapid analysis of the ethanol content in gasoline.

Effects of the selective serotonin reuptake inhibitor fluoxetine on glucose metabolism: A systematic review.

OBJECTIVES: The metabolic effects of antidepressants should be considered when prescribing antidepressants due to the increasing risk of diabetes, obesity and cardiovascular disease. This study aims to explore the effects of fluoxetine on glucose and lipid metabolism in human body. METHODS: Studies of the effects of fluoxetine on glucose and lipid metabolism were collected from the PubMed, MEDLINE and Embase databases without limiting the research design. The retrieval spanned between inception and January 2021. The main outcome measures were fasting blood glucose, glycosylated hemoglobin (mainly HbA1c) and body weight. RESULTS: A total of 24 studies were retrieved, including 20 randomized controlled trials (RCTs), 1 prospective study and 3 case reports. The meta-analysis showed that FBG and HbA1c levels were moderately decreased(MD-0.85[-1.75, -0.13], P = 0.02 and MD-0.55[-1.23, 0.13], P = 0.11 respectively) and body weight was significantly decreased (MD-3.01[-5.58, -0.44], P < 0.00001) with fluoxetine treatment compared with placebo. Both plasma triglyceride (TG) and total cholesterol (TC) levels decreased significantly (P < 0.00001). CONCLUSION: Fluoxetine had a positive effect on improving blood glucose control in patients with disorders of glucose metabolism and was good for weight management in obese people despite significant heterogeneity between studies.

Predicting LncRNA-Disease Association Based on Generative Adversarial Network.

BACKGROUND: Increasing research reveals that long non-coding RNAs (lncRNAs) play an important role in various biological processes of human diseases. Nonetheless, only a handful of lncRNA-disease associations have been experimentally verified. The study of lncRNA-disease association prediction based on the computational model has provided a preliminary basis for biological experiments to a great degree so as to cut down the huge cost of wet lab experiments. OBJECTIVE: This study aims to learn the real distribution of lncRNA-disease association from a limited number of known lncRNA-disease association data. This paper proposes a new lncRNA-disease association prediction model called LDA-GAN based on a Generative Adversarial Network (GAN). METHODS: Aiming at the problems of slow convergence rate, training instabilities, and unavailability of discrete data in traditional GAN, LDA-GAN utilizes the Gumbel-softmax technology to construct a differentiable process for simulating discrete sampling. Meanwhile, the generator and the discriminator of LDA-GAN are integrated to establish the overall optimization goal based on the pairwise loss function. RESULTS: Experiments on standard datasets demonstrate that LDA-GAN achieves not only high stability and high efficiency in the process of confrontation learning but also gives full play to the semisupervised learning advantage of generative adversarial learning framework for unlabeled data, which further improves the prediction accuracy of lncRNA-disease association. Besides, case studies show that LDA-GAN can accurately generate potential diseases for several lncRNAs. CONCLUSION: We introduce a generative adversarial model to identify lncRNA-disease associations.

Comparative efficacy and acceptability of antidepressants and benzodiazepines for the treatment of panic disorder: A systematic review and network meta-analysis.

OBJECTIVE: This systematic review aims to assess the efficacy and acceptability of the different types of antidepressants and benzodiazepines for the treatment of panic disorder (PD) in adult patients. METHODS: PubMed, Web of Science, EMBASE, MEDLINE, the Cochrane Library, and ClinicalTrials.gov were searched for randomized controlled trials (RCTs) published between 1995 and 2020 on the use of antidepressants and benzodiazepines for the treatment of PD. A systematic review and network meta-analysis were performed. RESULTS: 42 RCTs were included in the network meta-analysis, with a comparison of 11 interventions.Escitalopram (odds ratios OR 1.52, 95 % credible interval CI 1.09-2.10), venlafaxine (OR 1.33, 95 % CI 1.16-1.51) and benzodiazepines (OR 1.50, 95 % CI 1.29-1.75) had greater efficacy and acceptability than the placebo. Imipramine(OR 1.43, 95 % CI 1.15-1.79) was also demonstrated to be efficacious and tolerated but the results were restricted to small sample size. Moreover, paroxetine, sertraline, fluoxetine, citalopram and clomipramine (OR 1.37, 1.36, 1.45, 1.33 and 1.36, respectively) were more efficacious, although the acceptability of paroxetine and sertraline were significantly less tolerated than benzodiazepines. Notably, the efficacy of reboxetine and fluvoxamine were merely as equal as that of the placebo. OUTCOMES: This is the first systematic review of antidepressants and benzodiazepines for the treatment of PD to use a network analysis. Escitalopram and venlafaxine as well as benzodiazepines may be effective choices as treatments for PD with relatively good acceptability, which still needs to be confirmed byhigh-quality RCTs.

Calcitonin gene-related peptide receptor antagonist ubrogepant for the treatment of acute migraine: A meta-analysis.

BACKGROUND: The objective of this study is to systematically evaluate the efficacy and safety of the calcitonin gene-related peptide (CGRP) receptor antagonist ubrogepant for the treatment of acute migraine. METHODS: Randomized controlled trials (RCTs) of ubrogepant for treatment of acute migraine were identified in PubMed, MEDLINE, EMBASE, and the Cochrane Library from database establishment to June 2020; we also searched ClinicalTrials.gov manually during the same period. Then, RevMan 5.3 software was used to perform a meta-analysis on each outcome measure. RESULTS: A total of 5 RCTs involving 4903 patients were included; there were 3358 cases in the ubrogepant group and 1545 cases in the placebo group. The meta-analysis showed the following results: at 2 hours postdose, the percentages of participants reporting pain relief and the absence of photophobia, nausea, and phonophobia were significantly higher in the ubrogepant group than in the placebo group (odds ratio [OR] = 1.71, 95%CI: 1.48-1.97, P < .00001; OR = 1.33, 95%CI: 1.22-1.45, P < .00001; OR = 1.07, 95%CI: 1.03-1.11, P = .0006; OR = 1.21, 95%CI: 1.14-1.28, P < .00001). The incidence of common adverse events was similar between the 2 groups (P > .05). CONCLUSION: Ubrogepant is effective and safe for the treatment of acute migraine. REGISTRATION NUMBER: PROSPERO CRD42019145286.

TREML4: a Potential Target for Immunotherapy of Sepsis.

Sepsis is a serious syndrome with a series of abnormalities caused by dysfunctional host response to infection. Toll-like receptor 4 (TLR-4) has been considered as a key regulator of inflammatory response and immune cell apoptosis in lipopolysaccharides (LPS) challenged models. However, in clinical trials, monoclonal antibodies of TLR-4 have not shown therapeutic effects as expected. Moreover, clinical trials based on immunotherapy by regulating inflammatory cytokines during the acute phase of sepsis have also failed. Recent evidence indicates that the fast-acting innate immune system plays a bigger role in blocking the fast progression of sepsis upon infection than the adaptive immune system. Consequently, the strategies for clinical management of sepsis should be shifted from targeting adaptive immune system to targeting innate immune system. In this review, we summarize our understanding of the role of TREML4 in sepsis, and highlight potential value of TREML4 in clinical management of sepsis. Further mechanistic studies on TREML4 such as the identification of its ligand will provide more clues on the development of novel and effective approaches to the prevention and therapy of sepsis.

Deploying external bandwidth guaranteed media server clusters for real-time live streaming in media cloud.

The cloud-based media streaming service is a promising paradigm for multimedia applications. It is attractive to media streaming service providers, who wish to deploy their media server clusters in a media cloud at reduced cost. Since the real-time live streaming service is both a bandwidth-intensive and quality-sensitive application, how to optimize the internal bandwidth utilization of a data center network (DCN) as well as guarantee the external bandwidth of the real-time live streaming application, is a key issue of deploying virtual machine (VM)-hosted media server cluster in a media cloud. Therefore, in this study, we propose an external-bandwidth-guaranteed media server cluster deployment scheme in media cloud. The approach simultaneously considers the outside bandwidth requirement of a tree-based media server cluster for live streaming and the intra-bandwidth consumption of a DCN. The proposed scheme models the optimal problem as a new terminal-Steiner-tree-like problem and provides an approximate algorithm for placing the media servers. Our evaluation results show that the proposed scheme guarantees the external bandwidth requirement of a real-time live streaming application, at the same time, greatly reduces the intra-bandwidth utilization of a media cloud with different DCN structures.

A unified strategy toward total syntheses of lindenane sesquiterpenoid [4 + 2] dimers.

The dimeric lindenane sesquiterpenoids are mainly isolated from the plants of Chloranthaceae family. Structurally, they have a crowded molecular scaffold decorated with more than 11 stereogenic centers. Here we report divergent syntheses of eight dimeric lindenane sesquiterpenoids, shizukaols A, C, D, I, chlorajaponilide C, multistalide B, sarcandrolide J and sarglabolide I. In particular, we present a unified dimerization strategy utilizing a base-mediated thermal [4 + 2] cycloaddition between a common furyl diene, generated in situ, and various types of dienophiles. Accordingly, all the three types of lindenane [4 + 2] dimers with versatile biological activities are accessible, which would stimulate future probing of their pharmaceutical potential.