Noise is a kind of sound that causes agitation and harms human health. Studies have shown that noise can lead to neuroinflammation, damage to synaptic plasticity and altered levels of ...neurotransmitters that may result in depression. The present study demonstrated that luteolin exerted antidepressant-like effects by improving neuroinflammation in a mouse model of noise-induced depression. Luteolin significantly alleviated noise-induced depression-like behavior. Notably, luteolin treatment not only remarkably ameliorated noise-induced inflammation in the hippocampus and prefrontal cortex, but also increased synapsin. Furthermore, luteolin treatment significantly increased the contents of serum 5-hydroxytryptamine and norepinephrine in noise-induced mice. In sum, luteolin exerts antidepressant effects indepression-like mice caused by noise, which can serve as a potential agent for the treatment of chronic noise-induced depression.
Purpose
Clear cell renal cell carcinomas (ccRCCs) are the most common form of renal cancer in the world. The loss of extracellular matrix (ECM) stimulates cell apoptosis, known as anoikis. A ...resistance to anoikis in cancer cells is believed to contribute to tumor malignancy, particularly metastasis; however, the potential influence of anoikis on the prognosis of ccRCC patients is not fully understood.
Methods
In this study, anoikis-related genes (ARGs) with discrepant expression were selected from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. The anoikis-related gene signature (ARS) was built using a combination of the univariate Cox and least absolute shrinkage and selection operator (LASSO) analyses. ARS was also evaluated for their prognostic value. We explored the tumor microenvironment and enrichment pathways between different clusters of ccRCC. We also examined differences in clinical characteristics, immune cell infiltration and drug sensitivity between the high- and low-risk sets. In addition, we utilized three external databases and quantitative real-time polymerase chain reaction (qRT-PCR) to validate the expression and prognosis of ARGs.
Results
Eight ARGs (PLAUR, HMCN1, CDKN2A, BID, GLI2, PLG, PRKCQ and IRF6) were identified as anoikis-related prognostic factors. According to Kaplan–Meier (KM) analysis, ccRCC patients with high-risk ARGs have a worse prognosis. The risk score was found to be a significant independent prognostic indicator. According to tumor microenvironment (TME) scores, stromal score, immune score, and estimated score of the high-risk group were superior to those of the low-risk group. There were significant differences between the two groups regarding the amount of infiltrated immune cells, immune checkpoint expression as well as drug sensitivity. A nomogram was constructed using ccRCC clinical features and risk scores. The signature and the nomogram both performed well in predicting overall survival (OS) for ccRCC patients. According to a decision curve analysis (DCA), clinical treatment options for patients with ccRCC could be improved using this model.
Conclusion
The results of validation from external databases and qRT-PCR were basically agreement with findings in TCGA and GEO databases. The ARS serving as biomarkers may provide an important reference for individual therapy of ccRCC patients.
Obesity has become a public health epidemic worldwide and is associated with many diseases with high mortality including hypertension, diabetes, and heart disease. High-fat diet (HFD)-induced energy ...imbalance is one of the primary causes of obesity, but the underlying mechanisms are not fully elucidated. Our study showed that HFD reduced the level of hydrogen sulfide (H
2
S) and its catalytic enzyme cystathionine β-synthase (CBS) in mouse hypothalamus and plasma. We found that HFD activated mTOR, IKK/NF-κB, the main pathway regulating inflammation. Activation of inflammatory pathway promoted the production of pro-inflammatory cytokines including IL-6, IL-1β, and TNF-α, which caused cell damage and loss in the hypothalamus. The disturbance of the hypothalamic neuron circuits resulted in body weight gain in HFD-induced mice. Importantly, we also showed that restoration of H
2
S level with NaHS or activation of CBS with SAMe attenuated HFD-induced activation of mTOR, IKK/NF-κB signaling, which reduced the inflammation and the neuronal cell loss in the hypothalamus, and also inhibited body weight gain in mice. The same effects were obtained by inhibiting mTOR or NF-κB, which suggested that mTOR and NF-κB were the critical molecular factors involved in hypothalamic inflammation. Taken together, this study identified that HFD-induced hypothalamus inflammation plays a critical role in the development of obesity. Moreover, the inhibition of hypothalamic inflammation by regaining H
2
S level could be a potential therapeutic to prevent the development of obesity.
Graphical abstract
•Multifunctional nanoplatform boosts allicin's bioavailability and duration.•Controlled release with pH-dependent and ROS-scavenging antibacterial properties.•Enhances collagen and new vessel growth, ...accelerates healing of infected wounds.
The development of non-antibiotic strategies for combating bacterial infections, particularly through reactive oxygen species (ROS) accumulation accompanying inflammation, has attracted much attention. Despite Allicin (Ac) emerges as a promising antimicrobial agent with wide and remarkable bioactivity, it still displays quite limited ROS scavenging and anti-inflammation capacity due to uncontrolled and poor bioavailability. Herein, a multifunctional nanoplatform with pH-dependent and ROS-scavenging antibacterial, anti-inflammatory and proangiogenic properties is introduced to promote infected wound healing by integrating Ac into silver nanoparticles (AgNPs)-loaded zeolite imidazole framework (ZIF-8), namely Ac@ZIF-8/AgNPs. Primarily, the nanoplatform is activated and controlled release in the infection microenvironment, with disrupting biofilms, scavenging ROS and antibacterial capacitys, outperforming conventional Ac. Moreover, in the mouse models induced by bacterial infection, Ac@ZIF-8/AgNPs can alleviate the inflammatory condition, scavenge ROS, facilitate the regeneration of collagen fiber and enhance vascular formation, collectively accelerating wound healing. Overall, this biocompatible nanoplatform is provided as a reliable approach to solve the long-standing problem of infected wound healing.
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•NIR-HS has large stokes shift, highly sensitive, and good biocompatibility.•NIR-HS has been applied to detect hydrogen sulfide levels in astrocytes.•NIR-HS was performed H2S ...fluorescence imaging on the ventromedial nucleus.•H2S inhibits neuronal damage by inhibiting astrocyte inflammatory responses.•NIR-HS confirmed the preventive effect of allicin on hypothalamic inflammation.
Hydrogen sulfide (H2S) is a crucial endogenous gas signaling molecule in the central nervous system, playing a significant role in anti-inflammation, anti-oxidation, and neuroprotection. Our studies have shown that the level of H2S is closely related to hypothalamic inflammation-induced obesity. Compared to neurons, astrocytes, exhibit a preferential activation in response to high-fat diet-induced hypothalamic inflammation. Whether the reduction of hydrogen sulfide in astrocytes is the cause of neuronal damage leading to hypothalamic inflammation is worth exploring. The key to discussing the role of astrocytes is to accurately and quickly detect the levels of H2S in the complex microenvironment of the brain. In this work, we designed and synthesized a H2S near-infrared fluorescence probe (NIR-HS) based on dicyanideisophorone. NIR-HS selectively responds to H2S at 668 nm, with an effective linear range (0–20 μM), high sensitivity (35 nM). This probe has been successfully applied to detect hydrogen sulfide levels in astrocytes and to perform H2S fluorescence imaging on the slices of the ventromedial nucleus of the hypothalamus. Additionally, the effect of the H2S donor drug allicin on the levels of H2S in the hypothalamus and its therapeutic effect on hypothalamic inflammation were confirmed using NIR-HS and a series of signal pathway studies. Ultimately, we revealed the mechanism of that H2S inhibits hypothalamic neuronal inflammation by suppressing the expression of the pro-inflammatory factor IL-1β in astrocytes.
H
S is the third gas transmitter affecting the growth, reproduction and survival of cancer cells. However, the H
S anticancer and antitumor mechanism still needs to be further studied.
Here, FHS-1 ...was synthesized utilizing excited-state intramolecular proton transfer to detect H
S in MCF-7 cells, and investigated the effects of varying concentrations NaHS on apoptosis.
The study found that FHS-1 detects H
S levels with high selectivity and pH stability and that H
S may regulate apoptosis in MCF-7 cells through the p53/mTOR/STAT3 pathway.
Researching the influence of H
S on apoptosis can serve as a theoretical foundation for future research into H
S-related anticancer medicines, and the H
S probe can be used as an effective cancer screening tool.
PurposeHerein, an emerging drug delivery system was constructed based on zeolite imidazole backbone (ZIF-8) to improve antibacterial defects of nanosilver (AgNPs), such as easily precipitated and ...highly cytotoxic. MethodsThe homogeneous dispersion of AgNPs on ZIF-8 was confirmed by UV-Vis spectroscopy, FTIR spectroscopy, particle size analysis, zeta potential analysis, and SEM. The appropriate AgNPs loading ratio on ZIF-8 was screened through the cell and antibacterial experiments based on biosafety and antibacterial performance. The optimal environment for AgNPs@ZIF-8 to exert antibacterial performance was probed in the context of bacterial communities under different acid-base conditions. The potential mechanism of AgNPs@ZIF-8 to inhibit the common clinical strains was investigated by observing the biofilm metabolic activity and the level of reactive oxygen species (ROS) in bacteria. ResultsThe successful piggybacking of AgNPs by ZIF-8 was confirmed using UV-Vis spectroscopy, FTIR spectroscopy, particle size analysis, zeta potential analysis, and SEM characterization methods. Based on the bacterial growth curve (0-24 hours), the antibacterial ability of AgNPs@ZIF-8 was found to be superior to AgNPs. When the mass ratio of ZIF-8 and AgNPs was 1:0.25, the selection of AgNPs@ZIF-8 was based on its superior antimicrobial efficacy and enhanced biocompatibility. Notably, under weakly acidic bacterial microenvironments (pH=6.4), AgNPs@ZIF-8 demonstrated a more satisfactory antibacterial effect. In addition, experiments on biofilms showed that concentrations of AgNPs@ZIF-8 exceeding 1×MIC resulted in more than 50% biofilm removal. The nanomedicine was found to increase ROS levels upon detecting the ROS concentration in bacteria. ConclusionNovel nanocomposites consisting of low cytotoxicity drug carrier ZIF-8 loaded with AgNPs exhibited enhanced antimicrobial effects compared to AgNPs alone. The pH-responsive nano drug delivery system, AgNPs@ZIF-8, exhibited superior antimicrobial activity in a mildly acidic environment. Moreover, AgNPs@ZIF-8 effectively eradicated pathogenic bacterial biofilms and elevated the intracellular level of ROS.
A series of algorithms for satellite retrievals of sun-induced chlorophyll fluorescence (SIF) have been developed and applied to different sensors. However, research on SIF retrieval using ...hyperspectral data is performed in narrow spectral windows, assuming that SIF remains constant. In this paper, based on the singular vector decomposition (SVD) technique, we present an approach for retrieving SIF, which can be applied to remotely sensed data with ultra-high spectral resolution and in a broad spectral window without assuming that the SIF remains constant. The idea is to combine the first singular vector, the pivotal information of the non-fluorescence spectrum, with the low-frequency contribution of the atmosphere, plus a linear combination of the remaining singular vectors to express the non-fluorescence spectrum. Subject to instrument settings, the retrieval was performed within a spectral window of approximately 7 nm that contained only Fraunhofer lines. In our retrieval, hyperspectral data of the O
-A band from the first Chinese carbon dioxide observation satellite (TanSat) was used. The Bayesian Information Criterion (BIC) was introduced to self-adaptively determine the number of free parameters and reduce retrieval noise. SIF retrievals were compared with TanSat SIF and OCO-2 SIF. The results showed good consistency and rationality. A sensitivity analysis was also conducted to verify the performance of this approach. To summarize, the approach would provide more possibilities for retrieving SIF from hyperspectral data.
Soil organic matter (SOM) is the main source of soil nutrients, which are essential for the growth and development of agricultural crops. Hyperspectral remote sensing is one of the most efficient ...ways of estimating the SOM content. Visible, near infrared, and mid-infrared reflectance spectroscopy, combined with the partial least squares regression (PLSR) method is considered to be an effective way of determining soil properties. In this study, we used 54 different spectral pretreatments to preprocess soil spectral data. These spectral pretreatments were composed of three denoising methods, six data transformations, and three dimensionality reduction methods. The three denoising methods included no denoising (ND), Savitzky–Golay denoising (SGD), and wavelet packet denoising (WPD). The six data transformations included original spectral data, R; reciprocal, 1/R; logarithmic, log(R); reciprocal logarithmic, log(1/R); first derivative, R’; and first derivative of reciprocal, (1/R)’. The three dimensionality reduction methods included no dimensionality reduction (NDR), sensitive waveband dimensionality reduction (SWDR), and principal component analysis (PCA) dimensionality reduction (PCADR). The processed spectra were then employed to construct PLSR models for predicting the SOM content. The main results were as follows—(1) the wavelet packet denoising (WPD)-R’ and WPD-(1/R)’ data showed stronger correlations with the SOM content. Furthermore, these methods could effectively limit the correlation between the adjacent bands and, thus, prevent “overfitting”. (2) Of the 54 pretreatments investigated, WPD-(1/R)’-PCADR yielded the model with the highest accuracy and stability. (3) For the same denoising method and spectral transformation data, the accuracy of the SOM content estimation model based on SWDR was higher than that of the model based on NDR. Furthermore, the accuracy in the case of PCADR was higher than that for SWDR. (4) Dimensionality reduction was effective in preventing data overfitting. (5) The quality of the spectral data could be improved and the accuracy of the SOM content estimation model could be enhanced effectively, by using some appropriate preprocessing methods (one combining WPD and PCADR in this study).
Depression, a mental illness characterized by persistent feeling of sadness and loss of interest, has been a serious health problem worldwide. Manipulation of the microbiota by probiotics and ...prebiotics represents a novel emerging strategy for the treatment of various psychiatric disorders such as major depressive disorders. Here, we show that one water-soluble polysaccharide from Ginkgo biloba leaves (GPS) reduced stress-induced depression and reversed gut dysbiosis. Similar to the antidepressant paroxetine, GPS significantly reduced the immobility times in the tail suspension test (TST) and forced swimming test (FST) and anxiety-like behavior in the open field test (OFT). Consistent with the improvement of depression-like behavior above, GPS mice had elevated serotonin and dopamine levels in multiple brain regions including the hippocampus, cerebral cortex and olfactory bulb, relative to unpredictable chronic mild stress (UCMS) treatment mice. GPS treatment could alleviate the stress-induced reduction in the density of serotonin-positive and dopamine-positive cells. Fecal microbiome transplant (FMT) combined with antibiotic treatment showed that the anti-depressant activity of GPS had a causal relationship with intestinal microbes. By performing a pyrosequencing-based analysis of bacterial 16S rRNA (V3 + V4 region) in fecal of the mice, the results showed that GPS reversed depression-associated gut dysbiosis and increased the richness of Lactobacillus species which has been proven to be a path to relieve depression. Our results demonstrated that the polysaccharide from Ginkgo biloba leaves might be a promising pharmacotherapeutic candidate for treating depression.
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