Comprehensive metabolome and growth effects of thiamethoxam uptake and accumulation from soil on pak choi.

Extensive use of the neonicotinoid thiamethoxam (TMX) results in its deposition in soil, which can then be absorbed and translocated in vegetables. Here we analyzed the comprehensive effects of TMX on pak choi. The TMX translocation factor (TF) was 0.37-11.65 and 0.46-39.75 for low and high treatments over 28 d, respectively, indicating its ready ability to move from the roots to the leaves of these plants. This uptake was associated with significant decrease in the fresh weight, and increase in vitamin C (VC), soluble sugars and soluble solid of pak choi. A metabolomic analysis revealed that fatty acids and purine nucleosides significantly decreased, and flavonoids and carbohydrates increased in the presence of TMX. TMX exposure thus influenced plant growth and disrupted the carbohydrate and lipid metabolism pathways. Our study raises concerns for food safety risk associated with TMX-contaminated soil.

Discrimination of internal browning in pineapple during storage based on changes in volatile compounds.

Internal browning (IB) is a physiological disorder without external symptoms of postharvest pineapples, but whether and how IB influences pineapple volatiles remain unknown. We examined eigenvalues of volatiles in 'Comte de Paris' pineapples with or without IB using electronic nose (E-nose) and gas chromatography-mass spectrometry (GC-MS). Correlation coefficients between the responses of E-nose sensors S7 and S9 and IB were 0.836 and 0.804, respectively. The multilayer perceptron neural network and radial basis function neural network models classified IB degree with accuracy of 94.77% and 91.67%. GC-MS analysis revealed 30 volatile substances upregulated in pineapple with IB compared to those without, of which 15 were esters. IB regulated volatile compound synthesis through the lipoxygenase pathway which involved lipoxygenase, pyruvate decarboxylase 1, alcohol dehydrogenases, acyl-CoA oxidase 1, and alcohol acyltransferase genes and their related enzymes. These results suggested that volatiles regulated by IB could be used to discriminate IB severity in pineapples.

Potential-resolved electrochemiluminescence biosensor for simultaneous determination of multiplex miRNA.

The multi-target simultaneous detection strategy based on potential-resolved electrochemiluminescence (ECL) has still been a research hotspot in analytical science, but the limited selection of ECL luminophores hinders the development of this field. Herein, polyethyleneimine functionalized perylene derivatives (PTC-PEI) and luminol functionalized gold nanoparticles (Lu-Au NPs) possessed significantly resolved emission potentials as ECL luminophore. The ternary ECL system was constructed with MoS2 nanoflowers and K2S2O8 as the coreaction accelerator and coreactant respectively, which significantly improved the cathode ECL emission of PTC-PEI. Simultaneously, the anode coreaction accelerator ZnO nanoflowers could promote the anode coreactant dissolved O2 reduction, and extremely enhanced the anode ECL emission of Lu-Au NPs. The proposed strategy addressed the major technical challenge of cross interference and competition of the coreactants for dual-biomarker detection, thus enabling accurate detection of miRNA-205 and miRNA-21 from 10 fM to 100 nM, with detection limits of 2.57 and 1.15 fM, respectively. In general, this work achieved a single-step synchronous detection of dual biomarkers, providing a new idea for the ECL detection of multiple biomarkers, and having potential value in the clinical diagnosis.

Effects of different ohmic heating treatments on parvalbumin structure and reduction of allergenicity in Japanese eel (Anguilla japonica).

We investigated the effects of ohmic heating (OH) on the structural properties and allergenicity of parvalbumin (PV). Compared to other heating methods (water bath heating (WH), OH combined with WH, and OH combined with air thermostatic heating (AH)), pure OH heating expended the least time and total energy. PV sensitization was reduced by approximately 65% by pure OH heating. SDS-PAGE, tricine-SDS-PAGE, and western blotting analyses revealed a molecular weight of sensitized ß-PV of about 12 kDa. Band intensity decreased with increasing OH time, and significant changes were observed in amino acid content, secondary structure, microstructure, and dielectric properties. Reducing PV, allergenicity through protein unfolding and secondary structural changes, thereby possibly reducing the allergenicity of eel, provides a theoretical basis for developing hypoallergenic products.

Huzhangqingmaiyin protected vascular endothelial cells against cerebral small vessel disease through inhibiting inflammation.

ETHNOPHARMACOLOGICAL RELEVANCE: Huzhangqingmaiyin (HZQMY) is a Chinese medicine formula used to treat small vessel disease, but the mechanism is unclear. AIM OF THE STUDY: This study aimed to reveal the protective effects of HZQMY on human brain microvascular endothelial cells (HBMECs) and explore the potential targets and mechanistic pathways using network pharmacology on treating cerebral small vessel disease (CSVD). MATERIALS AND METHODS: HBMECs were cultured in vitro and an endothelial cell injury model was constructed by hypoxia for 12 h followed by reoxygenation for 8 h (H/R). Cell viability was measured by CCK-8 assay, migration ability of cells was detected by scratch assay, angiogenesis ability of endothelial cells was detected by tubulogenesis assay. Meanwhile, JC-1 staining was employed to determine the alteration of mitochondrial membrane potential, and finally, cell apoptosis was assessed by flow cytometry. To further explore the mechanism of action of HZQMY, the target proteins of a candidate active compound was first collected from the traditional Chinese medicine systems pharmacology database with analytical platform and Swiss target prediction database (www.swisstargetprediction.ch) by HPLC/MS determination of its main active components. CSVD associated targets were retrieved from four disease associated targets databases, OMIM, DisGenNET, GeneCards and GeneCLip, respectively. Using the website String, the genes overlapped between HZQMY and CSVD were imported into the database, PPI network plots were drawn using Cytoscape software. GO and KEGG analyses were performed to explore the possible pathways and targets of HZQMY. Its most probable targets were further explored with molecular docking and verified. RESULTS: HZQMY at 0.5-2 µg/mL concentration range could promote cell proliferation, cell migration, angiogenesis, reduce mitochondrial membrane potential damage as well as inhibit apoptosis. Besides that, 29 active compounds were detected from HZQMY, including key components such as quercetin, polydatin, kaempferol, isorhamnetin and resveratrol. Core targets that might include IL-1ß、ICAM-1、VCAM-1 and VEGF and so on. CONCLUSIONS: HZQMY could regulate the levels of key targets such as IL-1ß、ICAM-1、VCAM-1 and VEGF, so as to achieve the purpose of treating CSVD.

Preparation of food-grade EDC/NHS-crosslinked gelatin nanoparticles and their application for Pickering emulsion stabilization.

Herein, a safe desolvation and crosslinking method was developed to prepare food-grade bovine bone gelatin (BBG) nanoparticles for Pickering emulsion stabilization. The nanoparticle-like structures were formed by adjusting pH 9.0 and adding ethanol, and then stable nanoparticles were formed by using N-(3-dimethylaminopropyl)-N'-ethylcarbodiimide (EDC) and N-hydroxysuccinimide (NHS) as crosslinker. Compared with other pH (2.5, 5.0, 7.0, and 12.0), pH 9.0 was the appropriate pH to prepare BBG nanoparticles. Individual nanoparticles (6.50 nm in height), oligomeric nanoparticles (13.42-22.52 nm in height), and polymeric nanoparticles (obvious liquid-precipitate separation) were formed at EDC·HCl/NHS concentrations of 6, 9-12, and 15-20 mg/mL, respectively. The oligomeric nanoparticles induced the highest emulsion creaming stability. The emulsion creaming ability increased with the increase of BBG nanoparticle concentrations. Low NaCl concentration (e.g., 100 mmol/L) could increase the emulsion creaming stability. Finally, 4 °C was the best storage temperature for fish oil-loaded Pickering emulsions.

Quantitative analysis of key components in Qingke beer brewing process by multispectral analysis combined with chemometrics.

In order to monitor the Qingke beer brewing process in real time, this paper presents an analytical method for predicting the content of key components in the wort during the mashing and boiling stages using multi-spectroscopy combined with chemometrics. The results showed that the Neural Networks (NN) model based on Raman spectroscopy (RPD = 3.9727) and the NN model based on NIR spectroscopy (RPD = 5.1952) had the best prediction performance for the reducing sugar content in the mashing and boiling stages; The partial least Squares (PLS) model based on Raman spectroscopy (RPD = 2.7301) and the NN model based on Raman spectroscopy (RPD = 4.3892) predicted the content of free amino nitrogen best; The PLS model based on UV-Vis spectroscopy (RPD = 4.0412) and the NN model based on Raman spectroscopy (RPD = 4.0540) are most suitable for the quantitative analysis of total phenols. The results can be used as a guide for real-time control of wort quality in industrial production.

Multi-Chromosomal mitochondrial genome of medicinal plant Acorus tatarinowii (Acoraceae): Firstly reported from Acorales Order.

Acorus tatarinowii Schott (A. tatarinowii), a well-known traditional Chinese medicinal plant renowned for its high medicinal value, but its mitochondrial genome (mitogenome) is still unexplored. In this study, we meticulously assembled the complete mitochondrial genome of A. tatarinowii using a combination of Illumina short reads and Oxford Nanopore long reads. Our findings revealed that A. tatarinowii possesses a complex chromosomal structural mitogenome, comprising two linear chromosomes and seven circular chromosomes. This mitogenome spans 1.81 Mb in length with a GC content of 38.29 %. Notably, it contained 24 unique mitochondrial core genes, seven unique variable genes, 17 tRNA genes, and three rRNA genes. Analyses of codon usage, most protein-coding genes (PCGs) exhibited a common codon usage preference, with RSCU values greater than 1, and the codon with the highest RSCU value was UAA(End, 1.90). We conducted a thorough analysis of repeat sequences, the distribution of repetitive sequences in nine mitochondrial chromosomes showed distinct patterns. Moreover, we identified 82 and 12 homologous fragments by comparing the sequences of chloroplast and nuclear genomes to the A. tatarinowii mitogenome, respectively. Lastly, We predicted a total of 234 potential RNA editing sites in 28 unique PCGs and discovered that the nad4 gene has been edited the most often, at 26 times. Our results contribute to the enrichment of mitochondrial genome resources for Acoraceae, and the mitogenome also can be used as a reference for other species.

Chemistry of Bairui granules and its mechanisms in the protective effect against methotrexate-induced liver injury.

BACKGROUND: Bairui granules (BRKL), a traditional Chinese medicine preparation, possess a range of pharmacological effects. However, its impact on methotrexate (MTX)-induced liver damage remains unexplored. PURPOSE: The present work focused on investigating the potential protection of BRKL on MTX-induced liver damage, along with its potential active ingredients and underlying mechanisms. METHODS: We evaluated the hepatoprotective activities of BRKL in liver-damaged Wistar rats induced by intraperitoneal MTX injection, observing the liver's morphological and pathological features. Additionally, we measured serum ALT, AST, and LDH levels using kits. Ultra High-Performance Liquid Chromatography-Q-Exactive Orbitrap Mass Spectrometry (UHPLC-Q-Exactive Orbitrap MS) analyzed BRKL composition, and network pharmacology strategy predicted and analyzed BRKL's targets and pathways. Thereafter, we conducted molecular docking for analyzing affinity of bioactive ingredients for targets with Autodock. At last, results were verified through in vitro experiments. RESULTS: The animal experiments revealed the significant protection of BRKL against MTX-mediated rat liver damage. A total of 64 major chemical constituents were identified in BRKL by UHPLC-Q-Exactive Orbitrap MS. We then applied the network-based pharmacological strategy to clarify BRKL's molecular mechanism on liver damage based on the identified components. The targets EGFR, SRC, PIK3R1, AKT1, and ESR1, as well as compounds isorhamnetin 3,7-O-diglucoside, ß-ecdysone, chrysoeriol, apigenin, and diosmetin, may play pivotal roles in treating MTX-mediated liver damage. According to our in vitro experiments, isorhamnetin 3,7-O-diglucoside may exert its liver-protective effect via AKT/NF-κB pathway. CONCLUSION: BRKL protected against MTX-mediated liver injury, and the bioactive ingredients, key pathways, and liver injury-related molecular targets have been identified. These findings provide new insights into using BRKL in treating liver damage and propose a feasible approach to exploring phytomedicine's chemical and pharmacological foundation.

Aridity drives the variability of desert soil microbiomes across north-western China.

Dryland covers >35 % of the terrestrial surface and the global extent of dryland increases due to the forecasted increase in aridity driven by climate change. Due to the climate change-driven aridity ecosystems, deserts provide one of the most hostile environments for microbial life and survival. Therefore, a detailed study was carried out to explore the deserts with different aridity levels (exposed to severe climate change) influence on microbial (bacteria, fungi, and protist) diversity patterns, assembly processes, and co-occurrence. The results revealed that the aridity (semi-arid, arid, and hyper-arid) patterns caused distinct changes in environmental heterogeneity in desert ecosystems. Similarly, microbial diversities were also reduced with increasing the aridity pattern, and it was found that environmental heterogeneity is highly involved in affecting microbial diversities under different ecological niches. Interestingly, it was found that certain microbes, including bacterial (Firmicutes), fungal (Sordariomycetes), and protistan (Ciliophora) abundance increased with increasing aridity levels, indicating that these microbes might possess the capability to tolerate the environmental stress conditions. Moreover, microbial community turnover analysis revealed that bacterial diversities followed homogenous selection, whereas fungi and protists were mostly driven by the dispersal limitation pattern. Co-occurrence network analysis showed that hyper-arid and arid conditions tightened the bacterial and fungal communities and had more positive associations compared to protistan. In conclusion, multiple lines of evidence were provided to shed light on the habitat specialization impact on microbial (bacteria, fungi, and protists) communities and composition under different desert ecosystems.

Blockage of DCLK1 in cardiomyocytes suppresses myocardial inflammation and alleviates diabetic cardiomyopathy in streptozotocin-induced diabetic mice.

Diabetic cardiomyopathy (DCM) is a pathophysiological condition triggered by diabetes mellitus and can lead to heart failure. Doublecortin-like kinase protein 1 (DCLK1) is a multifunctional protein kinase involved in the regulation of cell proliferation, differentiation, survival, and migration. Current studies on DCLK1 mainly focus on cancer development; however, its role in non-tumor diseases such as DCM is yet to be deciphered. Our analysis revealed that DCLK1 was upregulated in cardiomyocytes of streptozotocin (STZ)-induced type 1 diabetic mouse, suggesting a correlation between DCLK1 and DCM progression. It was further demonstrated that either cardiomyocyte-specific DCLK1 knockout or pharmacological DCLK1 inhibitor DCLK1-IN-1 significantly alleviated cardiac hypertrophy and fibrosis in STZ-induced diabetic mice. RNA-seq analysis of heart tissues revealed that DCLK1 regulated the nuclear factor kappa B (NF-κB)-mediated inflammatory response in DCM. In vitro, DCLK1 activated NF-κB and the inflammatory response by inducing the IKKß phosphorylation in high-concentration glucose (HG)-challenged cardiomyocytes. DCLK1-IN-1 also prevented HG-induced IKKß/NF-κB activation and inflammatory injuries in cardiomyocytes. In conclusion, this study highlights the novel role of cardiomyocyte DCLK1 in regulating IKKß/NF-κB, which aggravates inflammation to promote the pathogenesis of DCM. DCLK1 may serve as a new target for DCM treatment.

Pre-mating nitenpyram exposure in male mice leads to depression-like behavior in offspring by affecting tryptophan metabolism in gut microbiota.

Several studies have confirmed that the health status of the paternal affects the health of the offspring, however, it remains unknown whether paternal exposure to pesticides affect the offspring health. Here, we used untargeted metabolomics and 16S rRNA sequencing technology, combined with tail suspension test and RT-qPCR to explore the effects of paternal exposure to nitenpyram on the neurotoxicity of offspring. Our results found that the paternal exposure to nitenpyram led to the offspring's depressive-like behaviors, accompanied by the reduction of tryptophan content and the disorder of microbial abundance in the gut of the offspring. Further, we determined the expression of tryptophan metabolism-related genes tryptophanase (tnaA) and tryptophan hydroxylase 1 (TpH1) in gut bacteria and colonic tissues. We found that tryptophan is metabolized to indoles rather than being absorbed into colonocytes, which coursed the reduce of tryptophan availability after nitenpyram exposure. In conclusion, our study deepens our understanding of the intergenerational toxic effects of pesticides.

A highly selective and sensitive fluorescence probe based on BODIPY-cyclen for hydrogen sulfide detection in living cells and serum.

Hydrogen sulfide (H2S) is a multifunctional gaseous signaling molecule that plays a vital role in several biological processes. In the present study, a BODIPY-based fluorescent probe called 8-[4-((1,4,7,10-tetraazacyclododecane)methyl)phenyl]-4,4-difluoro-1,3,5,7-tetramethyl-4-bora-3a, 4a-diaza-s-indacene (BA-Cyclen)-Cu was designed and synthesized; this probe is a Cu(Ⅱ) complex that uses Cu(Ⅱ) decomplexation to achieve the sensitive and rapid detection of aqueous H2S via the "turn-on" mode. We observed that BA-Cyclen-Cu exhibited good membrane permeability, low toxicity, and lysosome-targeting ability, facilitating H2S detection in living cells. Furthermore, we demonstrated the potential biological applications of the probe by measuring exogenous H2S originating from Na2S and GYY4137, a slow-release donor, and endogenous H2S generated via the catalysis of cystathionine-ß-synthase in both normal (H9c2) and cancerous (U87) cells. Moreover, BA-Cyclen-Cu was successfully used to detect exogenous H2S by the external standard method in fetal bovine serum, the serum of a healthy person, and the serum of a patient with liver cancer.

The synergistic effects of PM2.5 and CO2 from China's energy consumption.

PM2.5 and CO2 emissions are of the same origin. Under the double pressure of PM2.5 and CO2 emissions reduction, PM2.5 and CO2 synergistic emissions reduction is an available way to achieve PM2.5 and carbon reduction. Previous studies had shown that reducing fossil energy consumption could decrease PM2.5 and CO2 emissions. The LEAP-China model and three scenarios namely the baseline scenario (BAS), the carbon peaking scenario (CPS) and the carbon peaking and carbon neutrality goals scenario (CCS) were developed to project energy consumption, PM2.5 and CO2 emissions in China during the period of 2021-2060. Then the synergistic effects of PM2.5 and CO2 were assessed using the synergy effects coordinate system (SECS) and the emissions reduction elasticity coefficient (EREC) method. The consequences demonstrated that: (1) the non-fossil energy consumption would dominate energy use and be the largest PM2.5 and CO2 emissions reduction from energy consumption in the CCS. (2) In the CCS, PM2.5 and CO2 emissions from energy consumption would have a significant synergistic effect on emissions reduction during 2020-2060. The transformation of the energy use mix should be accelerated and the energy use efficiency should be improved. Regular assessments of the synergistic effects of PM2.5 and CO2 should be conducted.

Would it be better for partition prediction of heavy metal concentration in soils based on the fusion of XRF and Vis-NIR data?

Heavy metal (HM) contamination in soil necessitates effective methods to diagnose suspected contaminated areas and control rehabilitation processes. The synergistic use of proximal sensors demonstrates significant potential for rapid detection via accurate surveys of soil HM pollution at large scales and high sampling densities, and necessitates the selection of appropriate data mining and modeling methods for early diagnosis of soil pollution. The aim of this study is to evaluate the performance of a subarea model based on geographically partitioned and global models based on high-precision energy dispersive X-ray fluorescence (HD-XRF) and visible near-infrared (vis-NIR) spectra using a random forest model for predicting soil Cu and Pb concentrations. A total of 166 soil samples are acquired from a contaminated plot in Baiyin, Gansu Province, China. The soil samples are subjected to HM analysis and proximal sensor scanning in a laboratory. Vis-NIR spectral data are preprocessed using the Savitzky Golay (SG) and first-order derivative with Savitzky Golay (SGFD) methods. The results show that for predicting Cu and Pb concentrations in soil, the subarea models performs better than the global models in terms of quantitative prediction, based solely on individual HD-XRF data. For the subarea and global models, the R2 values are 0.961 and 0.981, respectively; the RMSE values are 27.8 and 79.6, respectively; and the RPD values are 4.96 and 7.38, respectively. However, making use of the random forest algorithm trained with data fusion obtained from the HD-XRF and vis-NIR sensors, the global model achieves the best predictions for Cu and Pb concentrations via HD-XRF + vis-NIR (SGFD) and HD-XRF + vis-NIR (SG), respectively. The results will provide a new perspective for modeling approaches to rapidly invert HM concentrations based on proximal sensor data fusion within a large scope of the study area.

Roles of historical land use/cover and nitrogen fertilizer application changes on ammonia emissions in farmland ecosystem from 1990 to 2020 in China.

In the past decades, China has witnessed significant changes in its land use/land cover (LULC) pattern. These changes have led to a direct impact on ammonia (NH3) emissions in soil background, and indirectly affected the total nitrogen fertilizer (N-fertilizer) application, crop planting amount and the resulting straw mass through the changes of cropland area. Great changes have also taken place in the amount and structure of fertilizer application in China, which affects the NH3 emissions from farmland ecosystems caused by N-fertilizer application. The aforementioned changes have led to significant alterations in NH3 emissions from China's farmland ecosystems over the past 30 years. The process of these changes remains to be analyzed, and the contributions of LULC changes and N-fertilizer application in this process are yet to be assessed. This study aims to investigate the NH3 emission changes and spatiotemporal variation characteristics from farmland ecosystems during 1990 and 2020 due to the LULC changes. Additionally, the study employs scenario analysis method to discuss the effects of LULC changes and N-fertilizer application changes on NH3 emissions in farmland ecosystems. Results indicate that there is evident spatiotemporal heterogeneity in China's LULC pattern, particularly in eastern China. The southeast region is predominantly characterized by the conversion of cropland into construction land. Moreover, some regions such as Northwest China and Northeast China have experienced the conversion of other land types into cropland, significantly influenced by national development policies. From 1990 to 2020, the national NH3 emissions from farmland ecosystem range from 3294.75 Gg to 4064.20 Gg. NH3 emissions and their interannual variation in farmland ecosystems exhibit significant differences across various regions. The regions with higher contributions to NH3 emissions in farmland ecosystems are East China, Central China, and North China, accounting for 25.32 %-37.26 %, 18.85 %-22.46 % and 11.24 %-18.50 % of the total emissions, respectively. NH3 emissions in each region are influenced by cropland area, N-fertilizer application, and regional development characteristics. Compared to LULC changes, changes in N-fertilizer application have a more pronounced impact on NH3 emission changes in farmland ecosystems. From 1990 to 2020, the contribution (increase or decrease) of N-fertilizer application changes to NH3 emission changes in farmland ecosystems in China ranges from 0.11 % to 16.61 %, while the contribution (increase or decrease) of LULC changes ranges from 0.47 % to 2.38 %. South China demonstrates a unique situation regarding the influence of LULC changes. This region has a relatively small cropland area, and fluctuations in cropland area significantly affect NH3 emissions in farmland ecosystems. The influence of policies is evident. From the changes in cropland area in Northwest China and Northeast China to changes in N-fertilizer application, policy changes have consistently impacted the changes in NH3 emissions in China's farmland ecosystems. From "soft policies" involving encouragement and guidance to "hard policies" encompassing the establishment of necessary targets, the degree of strictness in policy directly affects the timeliness of policies effectiveness. The results of this study indicate that reducing the application of N-fertilizers is the primary approach to reducing NH3 emissions in China's farmland ecosystems. In terms of policy guidance, compared to implementing structural and pathway adjustments, implementing clear total control of fertilizer usage is a timely and effective choice for reducing NH3 emissions.

Inflammation and epigenetics of sporotrichosis disease.

Sporotrichosis, a fungal disease, is caused by exposure to soil that harbors Sporothrix schenckii or through inhalation of fungal spores. Skin is the most frequently exposed organ making sporotrichosis a primarily dermal disease. Many described reports in the literature suggest a connection of sporotrichosis with cutaneous squamous cell carcinoma with some connection between initial sporotrichosis diagnosis and treatment followed by development of cutaneous squamous cell carcinoma at the very site. Conversely, there is also evidence for sporotrichosis subsequent to skin cancer diagnosis, even after cancer chemotherapy, which points towards weakening of immune response by cancer chemotherapy leading to attack and infection by Sporothrix schenckii. We also propose and focus on inflammation as the connection between sporotrichosis, cancer and even the metastatic spread of cancer. Inflammation-associated IL-6, IFN-γ, natural killer cells and M2-macrophages possibly mechanistically link sporotrichosis with cancer, particularly cutaneous squamous cell carcinoma. These inflammation related factors/cells are regulated epigenetically raising the possibility of epigenetic regulation of sporotrichosis, which has not been described yet in the available literature. Clinical management of inflammation may thus be effective strategy not just against sporotrichosis but also the related onset of cutaneous squamous cell carcinoma and possibly its metastasis to lymph nodes.

Poly(ionic liquid)-coated hydroxy-functionalized carbon nanotube nanoarchitectures with boosted catalytic performance for carbon dioxide cycloaddition.

Poly(ionic liquid)s (PILs) bearing high ionic densities are promising candidates for carbon dioxide (CO2) fixation. However, efficient and metal-free methods for boosting the catalytic efficiencies of PILs are still challenging. In this study, a novel family of poly(ionic liquid)-coated carbon nanotube nanoarchitectures (CNTs@PIL) were facilely prepared via a noncovalent and in-situ polymerization method. The effects of different carbon nanotubes (CNTs) and PILs on the structure, properties, and catalytic performance of the composite catalysts were systematically investigated. Characterizations and experimental results showed that hybridization of PIL with hydroxyl- or carboxyl-functionalized CNTs (CNT-OH, CNT-COOH) endows the composite catalyst with increased porosity, CO2 capture capacity, swelling ability and diffusion rate with respect to individual PIL, and allows the CNTs@PIL to provide H-bond donors for the synergistic activation of epoxides at the interfacial layer. Benefiting from these merits, the optimal composite catalyst (CNT-OH@PIL) delivered a super catalytic efficiency in the cycloaddition of CO2 to propylene oxide, which was over 4.5 times that of control PIL under metal- and co-catalyst free conditions. Additionally, CNT-OH@PIL showed high carbon dioxide/nitrogen (CO2/N2) adsorptive selectivity and could smoothly catalyze the cycloaddition reaction with a simulated flue gas (15% CO2 and 85% N2). Furthermore, the CNT-OH@PIL exhibited broad substrate tolerance and could be readily recycled and efficiently reused at least 12 times. Hybridization of PIL with functionalized CNTs provides a feasible approach for boosting the catalytic performance of PIL-based solid catalysts for CO2 fixation.

The Therapeutic Effect and Potential Pharmacological Mechanisms of Ding-Zhi-Xiao-Wan on Depression were Investigated by Meta-analysis, Network Pharmacology and Molecular Docking.

INTRODUCTION: Ding-Zhi-Xiao-Wan (DZXW) produces potential antidepressant-like effects. However, its antidepressant mechanisms are still unclear. OBJECTIVE: To analyze the antidepressant effects and the pharmacological mechanisms of DZXW, meta-analysis, network pharmacology, and molecular docking were selected in this study. METHODS: The compounds of DZXW and genes associated with compounds or depression were obtained from databases. The genes overlapping between DZXW compounds and depression were compared by Venn diagram. A network of medicine-ingredients-targets-disease was constructed, visualized, and analyzed. Protein-protein interaction, gene ontology, pathway enrichment, and molecular docking were performed to evaluate the potential mechanisms of DZXW for the treatment of depression. RESULTS: Meta-analysis showed that the antidepressant-like effects were produced by DZXW. The network pharmacology analysis showed that a total of 74 compound-related genes and 12607 PTSD-related genes were identified in the databases with 65 overlapping genes. The active ingredients derived from DZXW (i.e Beta-sitosterol, Stigmasterol, Fumarine, Hederagenin) elicited the antidepressant-like effects by targets, such as ACHE, HTR2A, and CHRM1. Moreover, the signaling pathways, like neuroactive ligand-receptor interaction, pathways in cancer, and cholinergic synapse, might play important roles in the treatment of depression by DZXW. CONCLUSION: This study provides studies analysis and molecular evidence with the beneficial effects of DZXW for the treatment of depression.

Multi-omics analysis reveals the toxic mechanism of ammonia-enhanced Microcystis aeruginosa exposure causing liver fat deposition and muscle nutrient loss in zebrafish.

Microcystis aeruginosa and ammonia pollution are two important environmental stress factors in water eutrophication. Herein, we simulated environmental conditions to investigate the effects of chronic exposure (single and combined) to M. aeruginosa and total ammonia nitrogen (TAN) on lipid metabolism and muscle quality in zebrafish. Our results showed that M. aeruginosa and TAN significantly induced lipid deposition and tissue damage in the liver of zebrafish. Liver transcriptomic analysis revealed that M. aeruginosa and TAN disrupted the balance in lipid synthesis, decomposition, and transport, ultimately leading to hepatic lipid accumulation. Moreover, exposure to M. aeruginosa or TAN alone resulted in decreased crude protein content and increased lipid content in muscle, as well as disrupted muscle fatty acid composition. Metabolomic analysis of muscle revealed significant alterations in metabolites such as glycerolipids, glycerophospholipids and fatty acids. The co-exposure of M. aeruginosa and TAN had a more significant effect on liver lipid dysfunction and muscle quality deterioration in zebrafish. These findings provide valuable insights into the potential risks and hazards of M. aeruginosa and TAN in eutrophic water bodies subject to Microcystis blooms, and can help inform effective strategies for monitoring and managing these toxins in aquatic ecosystems.