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Summary Millions of people die from liver diseases annually, and liver failure is one of the three major outcomes of liver disease. The gut microbiota plays a crucial role in liver diseases. This study aimed to explore the effects of Lactobacillus casei strain Shirota (LcS), a probiotics used widely around the world, on acute liver injury (ALI), as well as the underlying mechanism. Sprague Dawley rats were intragastrically administered LcS suspensions or placebo once daily for 7 days before induction of ALI by intraperitoneal injection of D‐galactosamine (D‐GalN). Histopathological examination and assessments of liver biochemical markers, inflammatory cytokines, and the gut microbiota, metabolome and transcriptome were conducted. Our results showed that pretreatment with LcS reduced hepatic and intestinal damage and reduced the elevation of serum gamma‐glutamyltranspeptidase (GGT), total bile acids, IL‐5, IL‐10, G‐CSF and RANTES. The analysis of the gut microbiota, metabolome and transcriptome showed that LcS lowered the ratio of Firmicutes to Bacteroidetes; reduced the enrichment of metabolites such as chenodeoxycholic acid, deoxycholic acid, lithocholic acid, d‐talose and N‐acetyl‐glucosamine, reduce the depletion of d‐glucose and l‐methionine; and alleviated the downregulation of retinol metabolism and PPAR signalling and the upregulation of the pyruvate metabolism pathway in the liver. These results indicate the promising prospect of using LcS for the treatment of liver diseases, particularly ALI. The aim of this study is to evaluate the effect of pretreatment with the probiotic Lactobacillus casei Shirota (LcS) on acute liver injury (ALI) in rats. LcS administration ameliorates ALI‐related organ damage, alleviating inflammatory status and metabolic disorders. Furthermore, the LcS‐reshaped gut microbiota is shown to modulate liver injury‐related signalling pathways and enterohepatic cross‐talk. These findings support the use of LcS as a promising functional food additive in liver disease treatments.

Abstract FtsY is the receptor of the signal recognition particle that mediates the targeting of integral membrane proteins in bacteria. It was shown that in Escherichia coli, the N-terminal region of FtsY contributes to its interaction with the membrane, but it is not inserted into the membrane. However, this study presents evidence that in Streptomyces coelicolor, FtsY has a hydrophobic region at its N-terminus, which forms a membrane insertion structure and contributes significantly to the binding between FtsY and membrane. Through membrane protein extraction followed by immunoblotting, we demonstrated that deletion of the N-terminal residues 11–39 from the S. coelicolor FtsY (ScFtsY) drastically reduced its membrane-binding capability and that the N-terminus of ScFtsY alone was capable of targeting the soluble EGFP protein onto the membrane with high efficiency. Furthermore, in a labeling experiment with the membrane-impermeable probe Mal-PEG, the ScFtsY N-terminal region was protected by the membrane and was not labeled. This observation indicates that this region was inserted into the membrane.

How to effectively resolve conflicts triggered by the construction of NIMBY projects is an important topic worthy of attention in grass-roots governance. Under the perspective of resilient governance theory, this paper analyzes the behavioral changes and interaction mechanisms of different subjects in the process of community NIMBY conflict resolution based on the process tracking of the construction project of the nursing home on L Road in S City. The study found that in resolving NIMBY conflicts, the neighborhood committee embodied the logic of \"acting according to the situation,\" making use of the developmental characteristics of the external variables in the action scenario of \"situation\" to form the behavioral decision-making of using the \"situation\" of the residents, creating the \"situation\" for the residents, and setting up the \"situation\" for the governance. The use of agency and resident identity promotes the harmonization and adaptation of institutional rules within and outside the community. Furthe

The anti-Clostridium difficile infection (CDI) drug fidaxomicin is a natural polyketide metabolite mainly produced by Micromonosporaceae, such as Actinoplanes deccanensis, Dactylosporangium aurantiacum, and Micromonospora echinospora. In the present study, we employed a stepwise strategy by combining heterologous expression, chassis construction, promoter engineering, activator and transporters overexpression, and optimization of fermentation media for high-level production of fidaxomicin. The maximum yield of 384 mg/L fidaxomicin was achieved with engineered Streptomyces albus D7-VHb in 5 L-tank bioreactor, and it was approximately 15-fold higher than the native strain Actinoplanes deccanensis YP-1 with higher strain stability and growth rate. This study developed an enhanced chassis strain, and for the first time, achieved the heterologous synthesis of fidaxomicin through a combinatorial metabolic engineering strategy.

To study the anisotropic mechanical properties and energy evolution of layered rock masses under the action of cyclic loading, uniaxial graded cyclic loading and unloading tests under different upper and lower stress limits were carried out on samples with different bedding angles (0°, 22.5°, 45°, 67.5°, and 90°) to explore the deformation and mechanical response characteristics of bedded phyllite under cyclic loading and the mechanism controlling the evolution of the total absorption energy, elastic strain energy, and dissipated energy. The damage variable D and the damage increment ΔD were introduced to characterize the damage accumulation state inside the layered rock mass, and an instability criterion of bedded phyllite under mechanical cyclic loading was proposed. The results show that when the bedding angle increases from 0° to 90°, the failure types of the sample change from splitting shear failure to slipping shear failure and then to splitting tensile failure, and the corresponding irreversible strain and deformation modulus first decrease and then increase. With increasing stress level, the cumulative energy density increases in three stages, and the rate of increase presents a change in characteristic of \"accelerating-steady-decelerating.\" The energy storage coefficient (Ke) decreases with increasing cycle number and stress level and first increases and then decreases with increasing bedding angle. Meanwhile, the energy dissipation coefficient (Kd) exhibits the opposite trend. The damage increment increases ΔD sharply after the first cycle in the nonfailure stage, drops sharply in the next cycle, and gradually decreases and stabilizes to near ΔD = 0.01 in the subsequent cycle. After entering the failure stage, the change in the damage increment of the variation in phyllite samples with different bedding angles is closely related to the stress level and number of cycles. The damage variable D can be used to describe the failure and instability of bedded phyllite under graded cyclic loading: when D ≤ 2 × 10–4, the rock is in the stage of compaction and steady crack growth; when D ≥ 2 × 10–4, the rock is at risk of failure and instability.HighlightsThe changes in the irreversible strain and elastic modulus were analyzed based on the results of uniaxial graded cyclic loading and unloading testing.The evolution and distribution rules of various energy indicators under uniaxial graded cycle load are discussed from the perspective of energy.An instability judgment index based on energy dissipation theory is proposed, considering the relationship of layered millennium rock macro–micro deformation and energy evolution under the cyclic load.

Intercropping can obtain yield advantages, but the mechanism of yield advantages of maize-legume intercropping is still unclear. Then, we explored the effects of cropping systems and N input on yield advantages in a two-year experiment. Cropping systems included monoculture maize ( Zea mays L.) (MM), monoculture soybean ( Glycine max L. Merr.) (MS), monoculture peanut ( Arachis hypogaea L.) (MP), maize-soybean substitutive relay intercropping (IMS), and maize-peanut substitutive strip intercropping (IMP). N input included without N (N0) and N addition (N1). Results showed that maize’s leaf area index was 31.0% and 34.6% higher in IMS and IMP than in MM. The specific leaf weight and chlorophyll a (chl a) of maize were notably higher by 8.0% and 18.8% in IMS, 3.1%, and 18.6% in IMP compared with MM. Finally, N addition resulted in a higher thousand kernels weight of maize in IMS and IMP than that in MM. More dry matter accumulated and partitioned to the grain, maize's averaged partial land equivalent ratio and the net effect were 0.76 and 2.75 t ha −1 in IMS, 0.78 and 2.83 t ha −1 in IMP. The leaf area index and specific leaf weight of intercropped soybean were 16.8% and 26% higher than MS. Although soybean suffers from shade during coexistence, recovered growth strengthens leaf functional traits and increases dry matter accumulation. The averaged partial land equivalent ratio and the net effect of intercropped soybean were 0.76 and 0.47 t ha −1 . The leaf area index and specific leaf weight of peanuts in IMP were 69.1% and 14.4% lower than in the MP. The chlorophyll a and chlorophyll b of peanut in MP were 17.0% and 24.4% higher than in IMP. A less dry matter was partitioned to the grain for intercropped peanut. The averaged pLER and NE of intercropped peanuts were 0.26 and -0.55 t ha −1 . In conclusion, the strengthened leaf functional traits promote dry matter accumulation, maize-soybean relay intercropping obtained a win–win yield advantage, and maize-peanut strip intercropping achieved a trade-off yield advantage.

With the progress of human daily interaction activities and the development of industrial society, a large amount of media data and sensor data become accessible. Humans collect these multi-source data in chronological order, called multi-view sequential data (MvSD). MvSD has numerous potential application domains, including intelligent transportation, climate science, health care, public safety and multimedia, etc. However, as the volume and scale of MvSD increases, the traditional machine learning methods become difficult to withstand such large-scale data, and it is no longer appropriate to use hand-craft features to represent these complex data. In addition, there is no general framework in the process of mining multi-view relationships and integrating multi-view information. In this paper, We first introduce four common data types that constitute MvSD, including point data, sequence data, graph data, and raster data. Then, we summarize the technical challenges of MvSD. Subsequently, we review the recent progress in deep learning technology applied to MvSD. Meanwhile, we discuss how the network represents and learns features of MvSD. Finally, we summarize the applications of MvSD in different domains and give potential research directions.

Anthocyanins exist widely in various plant tissues and organs, and they play an important role in plant reproduction, disease resistance, stress resistance, and protection of human vision. Most fruit anthocyanins can be induced to accumulate by light. Here, we shaded the “Hong Deng” sweet cherry and performed an integrated analysis of its transcriptome and metabolome to explore the role of light in anthocyanin accumulation. The total anthocyanin content of the fruit and two of its anthocyanin components were significantly reduced after the shading. Transcriptome and metabolomics analysis revealed that PAL, 4CL, HCT, ANS and other structural genes of the anthocyanin pathway and cyanidin 3-O-glucoside, cyanidin 3-O-rutinoside, and other metabolites were significantly affected by shading. Weighted total gene network analysis and correlation analysis showed that the upstream and middle structural genes 4CL2, 4CL3 , and HCT2 of anthocyanin biosynthesis may be the key genes affecting the anthocyanin content variations in fruits after light shading. Their expression levels may be regulated by transcription factors such as LBD, ERF4, NAC2, NAC3, FKF1, LHY, RVE1 , and RVE2 . This study revealed for the first time the possible role of LBD, FKF1 , and other transcription factors in the light-induced anthocyanin accumulation of sweet cherry, thereby laying a preliminary foundation for further research on the role of light in anthocyanin accumulation of deep red fruit varieties and the genetic breeding of sweet cherry.

In this study, three kinds of wines separately made from mulberry (MW), grape (GW), or mulberry/grape (MGW) were developed and their enological parameters, sensory scores, volatile components, and microbiota were investigated and compared. Contrary to the order of residual sugar and acidity of the three kinds of wines, the order of alcohol content from high to low is GW, MW, and MGW. A total of 60 volatile components (VCs), including esters (17), alcohols (12), acids (6), aldehydes (7), ketones (3), alkenes (3), amines (3), alkanes (4), pyrazines (2), benzene (1), sulfide (1), and thiazole (1), were identified by gas chromatography-ion mobility spectrometer (GC-IMS). The fingerprint of VCs and principal component analysis revealed that the volatile profiles of MGW and GW were more similar in comparison to that of MW and were significantly correlated with the mass ratio of mulberry to grape. Lactobacillus, Weissella, Pantoea, Leuconostoc, Lactococcus, Paenibacillus, Pediococcus, and Saccharomyces were identified as the main microflora at the genus level shared by the MW, MGW, and GW, suggesting that the heterolactic bacteria may contribute more to the high content of volatile acids in MW and MGW. The heatmap of core microbiota and main VCs of MW, MGW, and GW suggested the complicated and significant correlation between them. The above data implied that the volatile profiles were more closely related to the raw materials of winemaking and markedly affected by the fermentation microorganisms. This study provides references for evaluation and characterization of MGW and MW and improvement of MGW and MW winemaking process.Key points• Fruit wine enological parameters, volatile profile, and microbiota were compared.• Sixty volatile compounds were identified by GC-IMS in three types of fruit wines.• Winemaking materials and microbiota affect volatile profiles of the fruit wines.

Argo observations revealed dramatic sea surface salinity (SSS) changes in the northeastern tropical Pacific Ocean (NETPO) during the past one and half decades, with a steady increase during 2004–2012 and a sharp decrease during 2013–2016. These changes mainly result from anomalous precipitation associated with the Walker Circulation through moisture transport across Central America. The anomalous Walker Circulation is caused by changes in trans-basin sea surface temperature (SST) gradients, especially those in the eastern tropical Pacific. Results using a longer reanalysis indicate that the upward trend of SSS in the NETPO started from the mid-1990s as the moisture transport across Central America decreased in response to reduced trans-basin SST gradients associated with the Interdecadal Pacific Oscillation and Atlantic Multidecadal Oscillation.