The impact of microplastics polystyrene on the microscopic structure of mouse intestine, tight junction genes and gut microbiota.

Microplastics, which are tiny plastic particles less than 5 mm in diameter, are widely present in the environment, have become a serious threat to aquatic life and human health, potentially causing ecosystem disorders and health problems. The present study aimed to investigate the effects of microplastics, specifically microplastics-polystyrene (MPs-PS), on the structural integrity, gene expression related to tight junctions, and gut microbiota in mice. A total of 24 Kunming mice aged 30 days were randomly assigned into four groups: control male (CM), control female (CF), PS-exposed male (PSM), and PS-exposed female (PSF)(n = 6). There were significant differences in villus height, width, intestinal surface area, and villus height to crypt depth ratio (V/C) between the PS group and the control group(C) (p <0.05). Gene expression analysis demonstrated the downregulation of Claudin-1, Claudin-2, Claudin-15, and Occludin, in both duodenum and jejunum of the PS group (p < 0.05). Analysis of microbial species using 16S rRNA sequencing indicated decreased diversity in the PSF group, as well as reduced diversity in the PSM group at various taxonomic levels. Beta diversity analysis showed a significant difference in gut microbiota distribution between the PS-exposed and C groups (R2 = 0.113, p<0.01), with this difference being more pronounced among females exposed to MPs-PS. KEGG analysis revealed enrichment of differential microbiota mainly involved in seven signaling pathways, such as nucleotide metabolism(p<0.05). The relative abundance ratio of transcriptional pathways was significantly increased for the PSF group (p<0.01), while excretory system pathways were for PSM group(p<0.05). Overall findings suggest that MPs-PS exhibit a notable sex-dependent impact on mouse gut microbiota, with a stronger effect observed among females; reduced expression of tight junction genes may be associated with dysbiosis, particularly elevated levels of Prevotellaceae.

Americanin B inhibits pyroptosis in lipopolysaccharide-induced septic encephalopathy mice through targeting NLRP3 protein.

BACKGROUND: Sepsis is considered as a severe illness due to its high mortality. Sepsis can cause septic encephalopathy, thus leading to brain injury, behavioral and cognitive dysfunction. Pyroptosis is a type of regulated cell death (RCD) and takes a crucial part in occurrence and development of sepsis. Americanin B (AMEB) is a lignan compounds, which is extracted from Vernicia fordii. In our previous study, AMEB could inhibit microglial activation in inflammatory cell model. However, the function of AMEB in septic encephalopathy mice is uncertain. It would be worthwhile to ascertain the role and mechanism of AMEB in sepsis. PURPOSE: Current study designs to certify the relationship between pyroptosis and septic encephalopathy, and investigate whether AMEB can restrain NOD-like receptor pyrin domain-containing 3 (NLRP3) inflammasome activation and restrict pyroptosis by targeting NLRP3 in septic mice model. STUDY DESIGN: C57BL/6 mice were utilized to perform sepsis model in vivo experiments. BV-2 cell lines were used for in vitro experiments. METHODS: In vivo sepsis model was established by lipopolysaccharide (LPS) intraperitoneal injection in male C57BL/6 J mice and in vitro model was exposed by LPS plus ATP in BV-2 cells. The survival rate was monitored on the corresponding days. NLRP3, apoptosis associated Speck-like protein (ASC), caspase-1, GasderminD (GSDMD), interleukin-1ß (IL-1ß) and interleukin-18 (IL-18) level were detected by western blotting and immunofluorescence analysis. Molecular docking, cellular thermal shift assay (CETSA), drug affinity responsive target stability (DARTS) experiments, RNAi transfection and quantitative real-time PCR were applied to confirm the potential target of AMEB. RESULTS: The results suggested that AMEB could rise survival percentage and lighten brain injury in LPS-induced sepsis mice. In addition, AMEB could inhibit pyroptosis and the activiation of NLRP3 inflammasome. The inhibiting function of AMEB on the activiation of NLRP3 inflammasome is weakened following si-NLRP3 transfection. Moreover, AMEB exerted anti-pyroptosis effect via targeting NLRP3 protein. CONCLUSIONS: Our findings first indicate NLRP3 is an effective druggable target for septic encephalopathy related brain injury, and also provide a candidate-AMEB for the treatment of septic encephalopathy. These emerging findings on AMEB in models of sepsis suggest an innovative approach that may be beneficial in the prevention of septic encephalopathy.

Kellerin alleviates cerebral ischemic injury by inhibiting ferroptosis via targeting Akt-mediated transcriptional activation of Nrf2.

BACKGROUND: Ischemic stroke (IS) is characterized as a detrimental cerebrovascular disease with high mortality and disability. Ferroptosis is a novel mechanism involved in neuronal death. There is a close connection between IS and ferroptosis, and inhibiting ferroptosis may provide an effective strategy for treating IS. Our previous investigations have discovered that kellerin, the active compound of Ferula sinkiangensis K. M. Shen, possesses the capability to shield against cerebral ischemia injury. PURPOSE: Our objective is to clarify the relationship between the neuroprotective properties of kellerin against IS and its ability to modulate ferroptosis, and investigate the underlying regulatory pathway. STUDY DESIGN: We investigated the impact and mechanism of kellerin in C57BL/6 mice underwent middle cerebral artery occlusion/reperfusion (MCAO/R) as well as SH-SY5Y cells exposed to oxygen-glucose deprivation/ re-oxygenation (OGD/R). METHODS: The roles of kellerin on neurological severity, cerebral infarction and edema were investigated in vivo. The regulatory impacts of kellerin on ferroptosis, mitochondrial damage and Akt/Nrf2 pathway were explored. Molecular docking combined with drug affinity responsive target stability assay (DARTS) and cellular thermal shift assay (CETSA) were performed to analyze the potential target proteins for kellerin. RESULTS: Kellerin protected against IS and inhibited ferroptosis in vivo. Meanwhile, kellerin improved the neuronal damage caused by OGD/R and suppressed ferroptosis by inhibiting the production of mitochondrial ROS in vitro. Further we found that kellerin directly interacted with Akt and enhanced its phosphorylation, leading to the increase of Nrf2 nuclear translocation and its downstream antioxidant genes expression. Moreover, kellerin's inhibitory effect on ferroptosis and mitochondrial ROS release was eliminated by inhibiting Akt/Nrf2 pathway. CONCLUSIONS: Our study firstly demonstrates that the neuroprotective properties of kellerin against IS are related to suppressing ferroptosis through inhibiting the production of mitochondrial ROS, in which its modulation on Akt-mediated transcriptional activation of Nrf2 plays an important role. This finding shed light on the potential mechanism that kellerin exerts therapeutic effects in IS.

Integrated network pharmacology and experimental validation-based approach to reveal the underlying mechanisms and key material basis of Jinhua Qinggan granules against acute lung injury.

ETHNOPHARMACOLOGICAL RELEVANCE: Jinhua Qinggan granules (JHQG), the traditional Chinese formula come into the market in 2016, has been proved clinically effective against coronavirus disease. Acute lung injury (ALI) is a major complication of respiratory infection such as coronavirus and influenza virus, with a high clinical fatality rate. Macrophage activation-induced inflammatory response plays a crucial role in the pathogenesis of ALI. However, the participation of inflammatory response in the efficacy of JHQG and its material basis against ALI is still unknown. AIM OF THE STUDY: The research aims to investigate the inflammatory response-involved efficacy of JHQG on ALI, explore the "ingredient-target-pathway" mechanisms, and searching for key material basis of JHQG by integrated network pharmacology and experimental validation-based approach. MATERIALS AND METHODS: Lipopolysaccharide (LPS)-induced ALI mice was established to assess the protective impact of JHQG. Network pharmacology was utilized to identify potential targets of JHQG and investigate its action mechanisms related to inflammatory response in treating ALI. The therapeutic effect and mechanism of the primary active ingredient in JHQG was verified through high performance liquid chromatography (HPLC) and a combination of wet experiments. RESULTS: JHQG remarkably alleviated lung damage in mice model via suppressing macrophage activation, and inhibiting pro-inflammatory mediator level, p-ERK and p-STAT3 expression, TLR4/NF-κB activation. Network pharmacology combined with HPLC found luteolin is the main effective component of JHQG, and it could interact with TLR4/MD2 complex, further exerting the anti-inflammatory property and the protective role against ALI. CONCLUSIONS: In summary, our finding clarified the underlying mechanisms and material basis of JHQG therapy for ALI by integrated network pharmacology and experimental validation-based strategy.

Intelligent Algorithm-Based Multislice Spiral Computed Tomography to Diagnose Coronary Heart Disease.

In this study, dictionary learning and expectation maximization reconstruction (DLEM) was combined to denoise 64-slice spiral CT images, and results of coronary angiography (CAG) were used as standard to evaluate its clinical value in diagnosing coronary artery diseases. 120 patients with coronary heart disease (CHD) confirmed by CAG examination were retrospectively selected as the research subjects. According to the random number table method, the patients were divided into two groups: the control group was diagnosed by conventional 64-slice spiral CT images, and the observation group was diagnosed by 64-slice spiral CT images based on the DLEM algorithm, with 60 cases in both groups. With CAG examination results as the standard, the diagnostic effects of the two CT examination methods were compared. The results showed that when the number of iterations of maximum likelihood expectation maximization (MLEM) algorithm reached 50, the root mean square error (RMSE) and peak signal to noise ratio (PSNR) values were similar to the results obtained by the DLEM algorithm under a number of iterations of 10 when the RMSE and PSNR values were 18.9121 dB and 74.9911 dB, respectively. In the observation group, 28.33% (17/60) images were of grade 4 or above before processing; after processing, it was 70% (42/60), significantly higher than the proportion of high image quality before processing. The overall diagnostic consistency, sensitivity, specificity, and accuracy (88.33%, 86.67%, 80%, and 85%) of the observation group were better than those in the control group (60.46%, 62.5%, 58.33%, and 61.66%). In conclusion, the DLEM algorithm has good denoising effect on 64-slice spiral CT images, which significantly improves the accuracy in the diagnosis of coronary artery stenosis and has good clinical diagnostic value and is worth promoting.

Effects of glucose and starch on the toxicity of nitrobenzene to plants and microbes in constructed wetlands.

Photosynthetic pigment content, antioxidant enzyme activities of plants, microbial enzyme activities and community structure were analyzed to investigate the effects of glucose and starch on the toxicity of nitrobenzene (NB) to plants and microbes in constructed wetlands (CWs). As the influent NB concentration increased from 10 mg/L to 100 mg/L, the NB removal efficiency of the blank group decreased from 97.1% to 75.02%. However, the NB removal efficiencies of the external carbon source groups were maintained at nearly 100%. External carbon sources accelerated the transformation process of NB to aniline (AN), thus decreasing NB toxicity to the microbes and plants. When the influent NB concentration reached 100 mg/L, the NB removal rates and NB reductase activities of the external carbon source groups were 2.4 times and 4 times higher, respectively, than those of the blank group. Most of the dominant genera found in the three CWs could reduce nitroaromatics to the corresponding aromatic amines according to the results of high-throughput sequencing. The performance of NB removal in the CWs indicated the potential of CWs for NB treatment and the necessity of external carbon sources under high NB concentrations.